用户需求：
所有参数都是你来设计。

round-01
【发送给 ChatGPT】
You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout:

<fluent_code>

```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.
```

</fluent_code>

Put a newline before and after each tag and each fence. Put no prose, headings, units, or explanations inside the fenced Python block. Do not place ```python and Python statements on the same line. Keep the script under 280 lines. Use loops instead of repeating similar statements. Never truncate a string, parenthesis, or code fence; always close </fluent_code>.
Use the existing solver session and compatible PyFluent APIs. A completed conversation turn does not close the session. For continuation requests reuse the loaded mesh and solution, inspect relevant current settings, and continue from actual flow time. Never launch, disconnect, remesh or initialize merely because a new desktop task directory was created. Do not launch or close Fluent. Do not use Abaqus APIs. Use solver.settings APIs and the provided fluentagi adapters. Direct solver.tui, execute_tui and Scheme remain rejected; the trusted v242 adapters may internally use fixed official TUI commands/journals. For mesh display use solver.settings.results.graphics.mesh and graphics.views APIs. Do not return JSON tool plans. Do not invent mesh files or API names. Only operate on the requested case and task directory. Preserve existing results. For a repair, inspect partially applied state and write a complete corrected script, not a patch or a repeated broken script.
The web AI cannot read or modify host application source. Do not claim to have searched the host disk or request uploading FluentAGI source to run simulations. Use the verified runtime adapters. Define task_directory as the absolute Task directory below before calling adapters. For VOF surface tension use fluentagi.configure_surface_tension(directory=task_directory,coefficient=0.072,phase_a="phase-1",phase_b="phase-2"); coefficient is N/m, replace the example with the requested value. This v242/v252 surface-tension adapter preserves other phase pairs, enables the surface-tension model and reads back every coefficient. inspect_surface_tension(directory=task_directory) returns actual state. Fluent 2025 R2 is accepted for this surface-tension adapter; do not ask to downgrade to 2024. Other Lee/DPM adapters retain their own version restrictions. Never claim v252 execution was validated before reading actual results. Do not ask the user to edit the plugin or click GUI dialogs for this supported operation.
Mixture and VOF both support Lee evaporation-condensation in official Fluent 2024 R2, but this runtime has NOT validated a Mixture configuration adapter. Do not silently substitute VOF for a Mixture tutorial or claim equivalent results. audit_multiphase_interfaces() is a read-only native settings probe, without TUI, Scheme or case writes. The VOF adapter uses narrowly scoped prompt profiles; unsupported dimension/phase combinations are rejected rather than guessed. For three-phase boiling setup in Fluent 2024 R2, use fluentagi.configure_three_phase_materials(directory=task_directory, materials=["air", "water-liquid", "water-vapor"]) to create actual phase-1/2/3 domains and verify material assignments. For an existing three-phase model, fluentagi.assign_multiphase_materials(materials=[...], directory=task_directory) assigns materials without changing the phase count. Then call fluentagi.configure_evaporation_condensation(directory=task_directory, saturation_temperature=T_sat_K, evaporation_frequency=from_frequency_per_second, condensation_frequency=to_frequency_per_second, from_phase="phase-2", to_phase="phase-3"). Pass the user's specified temperature/frequencies; preserve their geometry, heating and calculation parameters. This verified v242 VOF Lee adapter enables energy, uses a fixed official TUI journal and verifies the phase pair, constant saturation temperature, both frequencies and Lee model by an independent case snapshot. It does not initialize or advance the simulation. Do not say this feature is unavailable because direct TUI is forbidden; use the adapter. fluentagi.inspect_phase_change(directory=task_directory) returns actual phases and mass transfer settings, refreshing a unique case snapshot. Do not replace existing unrelated mechanisms. This adapter supports one Lee mass transfer pair, not Eulerian wall boiling, semi-mechanistic wall boiling, pressure-dependent saturation tables or UDFs. Do not claim a complete validated boiling simulation from successful setup alone. initialize_air is a TWO-PHASE adapter; do not use it for three-phase cases. Use verified settings initialization and phase-aware patching only for requested new calculations.
The runtime provides fluentagi.assign_phase_materials(primary="air", secondary="water-liquid", directory=task_directory), fluentagi.inspect_phases(), and fluentagi.export_results(directory=task_directory, fields=["pressure", "velocity-magnitude"]). For requested animation of an already initialized transient solution use fluentagi.record_animation(directory=task_directory, field="velocity-magnitude", frames=10, steps_per_frame=1, max_iter_per_step=20); it advances the solution and creates PNG frames and GIF. Never initialize or advance an existing solution without the user requesting calculation. These are executable verified adapters, not prose instructions. Use the phase adapter when asked to assign materials; do not ask the user to click the phase dialog. Print returned results. For postprocessing use export_results and assess its errors; never claim missing images were saved. Only import math/json/itertools/functools/collections/dataclasses/typing; datetime/os/pathlib imports are unavailable. Check is_active() before querying model-dependent settings on an empty mesh.
For NEW planar geometry and meshing use mesh = fluentagi.build_planar(directory=task_directory, points=[[x,y],...], inlet_edges=[0], outlet_edges=[2], size=0.001). Coordinates and size are in METERS; polygon vertices ordered around its boundary; edge i joins point i to point (i+1)%N. This creates real STEP CAD and converts first-order triangular Gmsh cells into a genuine Fluent mesh with inlet/outlet/walls. Then solver.settings.file.read_mesh(file_name=mesh["mesh_file"]), solver.settings.mesh.check(), configure physics, initialize, iterate, and export_results. Save current case/data before replacing loaded geometry. Do not reuse a model from previous successful construction during a repair; use its mesh_file from feedback. For curved planar CAD, use fluentagi.geometry_mesh(directory=task_directory,code=gmsh_script_string); the worker has gmsh,math,output_dir already, no imports; create OCC geometry and physical line groups named inlet,outlet,walls, export STEP, generate first-order triangular or quadrilateral mesh(2). Returned mesh_file is Fluent format; gmsh-native.msh is NOT Fluent format. 3D modeling and volume mesh conversion are now implemented. fluentagi.build_volume(directory=task_directory, shape="box",length=0.1,width=0.02,height=0.02,size=0.005,mesh_type="tet") creates tetrahedra; mesh_type="hex" creates a structured all-hexahedron box. shape="cylinder",radius=0.01 supports tetrahedra with axis along +X. Inlet is X=0 and outlet X=length. fluentagi.build_extruded(directory=task_directory,points=[[x,y],...],inlet_edges=[0],outlet_edges=[2],depth=0.01,size=0.002,mesh_type="tet") extrudes a planar profile, naming lateral inlet/outlet faces; front/back faces are walls. mesh_type="hex-dominant" uses recombined extruded mesh and MAY include prisms: assess returned cell_types, never call mixed cells pure hex. geometry_mesh supports arbitrary OCC volumes (boolean unions/cuts), physical SURFACE groups inlet/outlet/walls, and mesh.generate(3), first-order tet/hex/prism/pyramid. Imported STEP is not currently supported by the restricted worker. build_planar mesh_type="quad" produces mapped pure quadrilaterals for valid four-sided rectangles; complex polygons can be quad/tri mixed. 2D uses triangles/quads, 3D uses tet/hex. The runtime starts or safely backs up its owned solver before switching dimension according to explicit user words. Do not request user-supplied 3D mesh for supported geometry. Save backups before replacing any loaded mesh. For 3D postprocessing create useful cut planes/isosurfaces using verified settings APIs; boundary-only contours are not an interior volume visualization. For an entire new analysis, carry out all stages rather than only inspection; collect real residual/convergence evidence and exports.
For water-air transient filling, call fluentagi.configure_water_air(directory=task_directory,velocity=0.05,time_step=0.001,gravity_y=-9.81,inlet="inlet",outlet="outlet"). This backs up and sets laminar VOF, materials, phase-aware inlet/outlet, gravity and timestep; does NOT initialize or erase existing solution. For requested NEW filling use fluentagi.initialize_air(directory=task_directory), which saves a backup, hybrid initializes and patches phase-2 volume fraction to zero across all fluid cell zones. Never initialize_air on existing results without an explicit restart request. Fluent v242 contour fields are phase-2-vof (water, only after confirming phase-2=water-liquid) and phase-1-vof (air); do not confuse them. Query real contour field.allowed_values for VOF fields. For 3D interior contours/animation use section=fluentagi.create_section(axis="z",position=depth/2), then export_results(...,surfaces=[section["surface"]]) or record_animation(...,surfaces=[section["surface"]]). A plane section is not full volumetric rendering; report it accurately. Frames are 2..60. Each frame after the first advances steps_per_frame real time steps; final time is initial time+(frames-1)*steps_per_frame*time_step. Do not claim the pipe fills if the simulated duration is too short. Normalize typos like "二维四面体" by explaining 2D triangular equivalent; if depth/3D was explicitly requested, use volume tools.
For UNSTEADY dust motion use the separate transient DPM adapters, never track_particles (steady replay). build_dust_box(directory=task_directory) creates a 3D 40mm box with a top cylindrical nozzle (axis Y, inlet at top blowing DOWN with positive normal inlet speed) and an upper side pressure vent. Save existing case before reading its mesh_file. geometry parameters are SI and can be passed as named arguments. Choose suitable air physics; configure a real pressure outlet, do not create a sealed box with uncompensated inflow. configure_transient_dust(directory=task_directory,region_min=[.012,.003,.012],region_max=[.028,.004,.028],counts=[2,2,2],release_time=.02,release_duration=.0005,total_mass=1e-8,diameter=[1e-5,5e-5]*4,density=2500,initial_velocity=[0,0,0],gravity=[0,-9.81,0],time_step=.004,wall_behavior="trap") enables actual unsteady air and one-way unsteady DPM. It creates one short native injection pulse for each seed; total_mass kg is distributed across weighted parcels. It accepts explicit points instead of a region. The entire release pulse must fit inside one physical dt. Does NOT initialize. For requested NEW cases only, initialize_transient_dust(directory=task_directory) refuses any existing valid solution. Then advance_transient_dust(directory=task_directory,until_time=.2,max_iter_per_step=200,residual_tolerance=.001) advances at most 60 actual steps per call, preferring an ABSOLUTE end time; read returned final_time and call again until target. Already reached until_time does not advance again. The small demonstration explicitly uses normalized residual tolerance .001; honor stricter user requirements and never silently relax them. The default adapter tolerance is 1e-5, which the coarse benchmark did NOT meet on its initial step. Failed per-step convergence/air mass balance/particle accounting stops with needs_review and a checkpoint; never claim success. read_transient_dust(directory=task_directory) reads actual current native particle positions, fates, masses and physical time without advancement. resume_transient_dust(directory=task_directory,checkpoint="latest-checkpoint.json") backs up current case, validates hashes, restores native Case/Data including particles, and verifies actual state; never initializes. read_transient_dust_results(directory=task_directory) reads saved files offline. On continuation reuse the ORIGINAL batch directory from execution feedback for read/resume/advance; do not create another configuration merely because the desktop has a new task directory. Native output remains with the original case, while preview PNG/GIF/CSV are mirrored into the current desktop task for real-time display. Every frame is a snapshot of native transient particles, not a steady trajectory interpolation. Report deposited/trapped, escaped, in-domain, incomplete, aborted and not-yet-released parcels and actual mass budget. Caption all runs "预先释放悬浮颗粒，非积尘再悬浮". Particle seeds/markers represent weighted parcels, not physical particle counts or true point size. Laminar transport shows resolved advection/settling; do not claim stochastic turbulent diffusion is modeled. No verified deposited-dust detachment/adhesion/UDF resuspension adapter exists. Never add an upward initial velocity and call it resuspension. Preserve steady DPM as a distinct path.
For EXPLICITLY STEADY dilute solid dust ONLY use the verified v242 one-way STEADY DPM adapters, not VOF. First inspect_dpm(). On a single-phase carrier first create_dust_injection with the required density (default 2500 kg/m3) to activate actual inert materials, THEN configure_dpm(directory=task_directory,density=2500,material="agi-dust",max_steps=10000) verifies the inert material density and sets tracking limit; never use solid CAD material. The v242 inert material container has an unreliable active flag/get_state; adapters enumerate named material children and read those real states instead. Never query the entire inert material container. create_dust_injection(directory=task_directory,name="dust",start=[0.00001,0.003,0.01],end=[0.00001,0.017,0.01],streams=12,diameter=0.00005,mass_flow=0.0000001,velocity=[0.5,0,0],material="agi-dust") creates a real group injection. Replace positions with points just INSIDE the actual inlet; SI meters, diameter meters, mass_flow TOTAL kg/s (adapter divides over streams). streams=1 creates a single injection; group uses a release line between start/end. Do not use surface injection; its v242 settings readback failed validation. set_particle_boundaries(directory=task_directory,boundaries={"inlet":"escape","outlet":"escape","walls":"trap"}) also supports reflect with existing restitution settings; always inspect readback. Never silently change an existing multiphase or coupled DPM model. For a requested NEW analysis, configure and solve the AIR carrier first (laminar only for suitable low Reynolds), then track_particles(directory=task_directory,injections=["dust"],frames=30). This tracks native DPM trajectories, exports tracks.csv/json, native summary text, statistics and PNG/GIF. It does NOT initialize or advance the carrier. Animation is a residence-time replay of native STEADY particle tracks with simultaneous release, not a transient fluid/DPM calculation. Never use air pathlines or a continuous-phase contour as dust motion. Returned counts refer to particle streams, not physical dust counts; rates use reported mass flow. Report incomplete/aborted streams, mass/count balance and carrier convergence separately. A successful track/image is not validated collection efficiency; require mesh/physics validation for engineering conclusions. Preserve results; use a new injection name if its parameters change.
End with <final_answer>Chinese explanation of the intended changes, without claiming execution success</final_answer>.
If essential input or an incompatible session prevents a valid script, return only <question>the specific missing input in Chinese</question>.
After the desktop returns execution results, either provide a corrected script or return only <final_answer>a Chinese assessment supported by those results</final_answer>. Do not execute the same successful script again. Successful execution alone does not prove convergence.

Previous conversation and execution context (reference only; do not repeat successful scripts):
[{"user": "自己设计一个。赛车的前翼包括挡板和翼子板的和这个。这个主襟翼啊，然后设置流程网格加密智能的去看一下它的这个流线，动画，升力，阻力等。"}, {"assistant": "准备设计带双侧端板、主翼和襟翼的三维赛车前翼。请提供来流速度、前翼总宽和离地高度；如果只做演示，是否采用来流速度30 m/s、总宽1.2 m、离地高度0.1 m，并使用移动地面？这些参数会直接影响网格加密、流线动画及升阻力计算。", "run_directory": "C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142319-598cbb"}, {"user": "好的"}, {"assistant": "已确认采用30 m/s来流、1.2 m总宽、0.1 m离地高度和移动地面。但当前几何适配器仅声明支持 inlet、outlet、walls 三类边界，尚未确认能将前翼、地面和远场分别分组；这关系到移动地面设置及单独统计前翼升阻力。能否提供运行端支持独立壁面分组的能力反馈？否则无法可靠生成满足这些要求的完整脚本。", "run_directory": "C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142517-f253e1"}, {"user": "所有参数都是你来设计。"}]
Runtime capabilities:
{"protocol": "FluentAGI-capabilities-v1", "session": {"connected": true, "mode": "launch"}, "geometry": {"worker": "gmsh isolated process", "imports": [], "builtins": ["range", "len", "int", "float", "str", "list", "tuple", "enumerate", "zip", "min", "max", "abs", "round", "RuntimeError", "ValueError", "print", "set", "sum", "sorted", "bool", "all", "any"], "physical_groups": ["inlet", "outlet", "walls"], "cell_types": ["triangle", "quadrilateral", "tetrahedron", "hexahedron", "prism", "pyramid"]}, "script": {"imports": ["math", "json", "itertools", "functools", "collections", "dataclasses", "typing"], "adapters": ["build_dust_box", "configure_transient_dust", "initialize_transient_dust", "read_transient_dust", "advance_transient_dust", "resume_transient_dust", "read_transient_dust_results", "inspect_dpm", "configure_dpm", "create_dust_injection", "set_particle_boundaries", "track_particles", "build_planar", "build_volume", "build_extruded", "geometry_mesh", "configure_water_air", "initialize_air", "record_animation", "export_results", "assign_phase_materials", "assign_multiphase_materials", "configure_three_phase_materials", "audit_multiphase_interfaces", "configure_evaporation_condensation", "inspect_phase_change", "configure_surface_tension", "inspect_surface_tension"]}, "generated_at": 1792304747.7744308, "phase_change": {"version": "v242", "model": "Lee", "adapter_multiphase_models": ["vof"], "mixture_officially_available": true, "mixture_adapter_validated": false, "two_phase_2d_correction_runtime_validation": "pending", "automatic_model_switch": false, "phases": [2, 3], "saturation": "constant K", "frequencies": "positive finite 1/s", "mass_transfer_pairs": 1, "internal_official_tui": true, "generated_direct_tui": false, "readback": "unique case snapshot", "initializes": false}, "surface_tension": {"version": "v242/v252", "runtime_validation": {"v242": "previous native validation", "v252": "official command and generated SDK checked; customer runtime readback required"}, "model": "VOF", "coefficient": "nonnegative finite N/m", "preserves_other_pairs": true, "readback": "unique case snapshot", "initializes": false}, "transient_dpm": {"version": "v242", "model": "unsteady single-phase carrier + transient one-way inert DPM", "release": "one short native pulse per explicit point / region grid, max 64 weighted parcels", "chunk_steps": 60, "positions": "native current positions at actual physical time; never steady replay", "checkpoint": "unique Case/Data plus SHA256 and particle-state readback", "acceptance": "each-step residuals, native air mass flux, particle mass/count fate closure", "default_residual_tolerance": 1e-05, "benchmark_residual_tolerance": 0.001, "strict_1e_5_initial_step_validated": false, "resuspension_validated": false, "stochastic_turbulent_dispersion_validated": false}, "dpm": {"version": "v242", "carrier": "single phase, one-way, steady inert dust", "injection_types": ["single", "group"], "surface_injection_validated": false, "boundary_types": ["reflect", "trap", "escape"], "trajectory_source": "native GetParticleTracksField RPC", "animation": "steady DPM trajectory residence-time replay, no carrier advance", "transient_dpm_validated": false, "two_way_validated": false, "readback": true, "active": false}, "fluent_version": "Ansys Fluent 2024 R2", "model_active": false}
Current session:
{"connected": true, "dimension": 3, "mode": "solver", "owned": true, "continuation": true}
Task directory:
C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261018-142547-90d0a4
Current request:
所有参数都是你来设计。
【ChatGPT 回复】
ChatGPT 说：

采用30 m/s来流、1.2 m翼展，设计主翼、襟翼与双侧端板；先生成局部加密网格并读取边界拆分、受力和流线接口，为移动地面和独立升阻力统计提供实际接口依据。

<fluent_code>
```python
# Use the existing connected PyFluent variable solver.
task_directory = r"C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261018-142547-90d0a4"
s = solver.settings

def checked(label, result):
    print(label, result)
    if isinstance(result, dict):
        if result.get("status") in ("error", "failed", "needs_review"):
            raise RuntimeError(str(result))
        if result.get("error") or result.get("errors"):
            raise RuntimeError(str(result))
    return result

def describe(label, obj):
    print(label + "_ACTIVE", obj.is_active())
    children = getattr(obj, "child_names", [])
    commands = getattr(obj, "command_names", [])
    queries = getattr(obj, "query_names", [])
    print(label + "_CHILDREN", children)
    print(label + "_COMMANDS", commands)
    print(label + "_QUERIES", queries)
    for name in commands:
        command = getattr(obj, name)
        print(label + "_ARGUMENTS", name, getattr(command, "argument_names", []))

if s.setup.models.is_active():
    s.file.write_case_data(
        file_name=task_directory + r"\before_front_wing.cas.h5"
    )

code = """
gmsh.model.add("front_wing")
occ = gmsh.model.occ
domain = occ.addBox(-1.0, 0.0, -1.2, 4.0, 1.2, 2.4)
parts = []
for chord, x0, y0, angle in [
    (0.32, 0.0, 0.15, 8.0),
    (0.14, 0.30, 0.215, 20.0)
]:
    n = 40
    upper = []
    lower = []
    a = angle * math.pi / 180.0
    for i in range(n + 1):
        u = 0.5 * (1.0 - math.cos(math.pi * i / n))
        t = 5.0 * 0.12 * chord * (
            0.2969 * math.sqrt(u) - 0.1260 * u
            - 0.3516 * u**2 + 0.2843 * u**3 - 0.1036 * u**4
        )
        if i == 0 or i == n:
            t = 0.0
        for points, sign in [(upper, 1.0), (lower, -1.0)]:
            x = x0 + chord * u * math.cos(a) - sign * t * math.sin(a)
            y = y0 + chord * u * math.sin(a) + sign * t * math.cos(a)
            points.append(occ.addPoint(x, y, -0.60))
    top = occ.addSpline(upper)
    bottom_points = [upper[-1]] + lower[1:-1][::-1] + [upper[0]]
    bottom = occ.addSpline(bottom_points)
    wire = occ.addWire([top, bottom])
    face = occ.addPlaneSurface([wire])
    extrusion = occ.extrude([(2, face)], 0.0, 0.0, 1.20)
    for dim, tag in extrusion:
        if dim == 3:
            parts.append((dim, tag))
for z in [-0.608, 0.600]:
    plate = occ.addBox(-0.02, 0.10, z, 0.50, 0.24, 0.008)
    parts.append((3, plate))
body, mapping = occ.fuse([parts[0]], parts[1:])
fluid, mapping = occ.cut([(3, domain)], body)
occ.removeAllDuplicates()
occ.synchronize()
volumes = [tag for dim, tag in gmsh.model.getEntities(3)]
if len(volumes) != 1:
    raise RuntimeError("Expected one connected fluid volume")
gmsh.model.addPhysicalGroup(3, volumes, name="fluid")
inlet = []
outlet = []
walls = []
wing_faces = []
ground_faces = []
for dim, tag in gmsh.model.getBoundary(
    [(3, volumes[0])], oriented=False, recursive=False
):
    b = gmsh.model.getBoundingBox(dim, tag)
    if abs(b[0] + 1.0) < 1e-6 and abs(b[3] + 1.0) < 1e-6:
        inlet.append(tag)
    elif abs(b[0] - 3.0) < 1e-6 and abs(b[3] - 3.0) < 1e-6:
        outlet.append(tag)
    else:
        walls.append(tag)
        if abs(b[1]) < 1e-6 and abs(b[4]) < 1e-6:
            ground_faces.append(tag)
        elif b[0] > -0.03 and b[3] < 0.49 and b[1] > 0.09:
            if b[2] > -0.62 and b[5] < 0.62:
                wing_faces.append(tag)
if not inlet or not outlet or not wing_faces or not ground_faces:
    raise RuntimeError("Boundary classification failed")
for name, tags in [("inlet", inlet), ("outlet", outlet), ("walls", walls)]:
    gmsh.model.addPhysicalGroup(2, tags, name=name)
distance = gmsh.model.mesh.field.add("Distance")
gmsh.model.mesh.field.setNumbers(distance, "FacesList", wing_faces)
gmsh.model.mesh.field.setNumber(distance, "Sampling", 60)
near = gmsh.model.mesh.field.add("Threshold")
for name, value in [
    ("InField", distance), ("SizeMin", 0.008), ("SizeMax", 0.15),
    ("DistMin", 0.012), ("DistMax", 0.18)
]:
    gmsh.model.mesh.field.setNumber(near, name, value)
wake = gmsh.model.mesh.field.add("Box")
for name, value in [
    ("VIn", 0.04), ("VOut", 0.15),
    ("XMin", 0.25), ("XMax", 1.6),
    ("YMin", 0.07), ("YMax", 0.45),
    ("ZMin", -0.72), ("ZMax", 0.72), ("Thickness", 0.12)
]:
    gmsh.model.mesh.field.setNumber(wake, name, value)
minimum = gmsh.model.mesh.field.add("Min")
gmsh.model.mesh.field.setNumbers(minimum, "FieldsList", [near, wake])
gmsh.model.mesh.field.setAsBackgroundMesh(minimum)
for name, value in [
    ("Mesh.MeshSizeFromPoints", 0),
    ("Mesh.MeshSizeFromCurvature", 0),
    ("Mesh.MeshSizeExtendFromBoundary", 0),
    ("Mesh.ElementOrder", 1),
    ("Mesh.Algorithm3D", 1)
]:
    gmsh.option.setNumber(name, value)
gmsh.write(output_dir + "/front-wing.step")
gmsh.model.mesh.generate(3)
print("WING_CAD_SURFACES", wing_faces)
print("GROUND_CAD_SURFACES", ground_faces)
print("REFINEMENT", 0.008, 0.04, 0.15)
"""

mesh = checked(
    "FRONT_WING_MESH",
    fluentagi.geometry_mesh(directory=task_directory, code=code),
)
if not isinstance(mesh, dict) or not mesh.get("mesh_file"):
    raise RuntimeError("Missing converted Fluent mesh")
s.file.read_mesh(file_name=mesh["mesh_file"])
s.mesh.check()

if not s.setup.models.is_active():
    raise RuntimeError("Mesh model is inactive")

print("WALL_ZONE_NAMES", s.setup.boundary_conditions.wall.get_object_names())
print("INLET_ZONE_NAMES", s.setup.boundary_conditions.velocity_inlet.get_object_names())
print("OUTLET_ZONE_NAMES", s.setup.boundary_conditions.pressure_outlet.get_object_names())

describe("MESH", s.mesh)
for name in getattr(s.mesh, "child_names", []):
    if "zone" in name or "modify" in name:
        describe("MESH_" + name, getattr(s.mesh, name))

walls = s.setup.boundary_conditions.wall
for name in walls.get_object_names():
    wall = walls[name]
    print("WALL_STATE", name, wall.get_state())
    describe("WALL_MOMENTUM", wall.momentum)
    break

describe("REPORT_DEFINITIONS", s.solution.report_definitions)
for name in getattr(s.solution.report_definitions, "child_names", []):
    if "force" in name or "lift" in name or "drag" in name:
        describe("REPORT_" + name, getattr(s.solution.report_definitions, name))

graphics = s.results.graphics
describe("GRAPHICS", graphics)
for name in getattr(graphics, "child_names", []):
    if "path" in name or "stream" in name:
        describe("GRAPHICS_" + name, getattr(graphics, name))

s.file.write_case(
    file_name=task_directory + r"\front_wing_mesh_and_interfaces.cas.h5"
)
print("DESIGN", {
    "velocity": 30.0,
    "span": 1.2,
    "main_chord": 0.32,
    "flap_chord": 0.14,
    "main_angle": 8.0,
    "flap_angle": 20.0,
    "minimum_clearance": 0.10,
})
print("STAGE", "mesh_and_native_interface_readback")
```
</fluent_code>

<final_answer>所有设计参数由我确定。本脚本先建立三维前翼及几何驱动的局部加密网格，保存模型并读取边界拆分、移动壁面、受力和流线接口。尚未执行求解；需依据返回接口继续配置移动地面、升阻力监测和动画，不能将本阶段视为已完成气动模拟。</final_answer>

round-02
【发送给 ChatGPT】
You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout:

<fluent_code>

```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.
```

</fluent_code>

Put a newline before and after each tag and each fence. Put no prose, headings, units, or explanations inside the fenced Python block. Do not place ```python and Python statements on the same line. Keep the script under 280 lines. Use loops instead of repeating similar statements. Never truncate a string, parenthesis, or code fence; always close </fluent_code>.
Use the existing solver session and compatible PyFluent APIs. A completed conversation turn does not close the session. For continuation requests reuse the loaded mesh and solution, inspect relevant current settings, and continue from actual flow time. Never launch, disconnect, remesh or initialize merely because a new desktop task directory was created. Do not launch or close Fluent. Do not use Abaqus APIs. Use solver.settings APIs and the provided fluentagi adapters. Direct solver.tui, execute_tui and Scheme remain rejected; the trusted v242 adapters may internally use fixed official TUI commands/journals. For mesh display use solver.settings.results.graphics.mesh and graphics.views APIs. Do not return JSON tool plans. Do not invent mesh files or API names. Only operate on the requested case and task directory. Preserve existing results. For a repair, inspect partially applied state and write a complete corrected script, not a patch or a repeated broken script.
The web AI cannot read or modify host application source. Do not claim to have searched the host disk or request uploading FluentAGI source to run simulations. Use the verified runtime adapters. Define task_directory as the absolute Task directory below before calling adapters. For VOF surface tension use fluentagi.configure_surface_tension(directory=task_directory,coefficient=0.072,phase_a="phase-1",phase_b="phase-2"); coefficient is N/m, replace the example with the requested value. This v242/v252 surface-tension adapter preserves other phase pairs, enables the surface-tension model and reads back every coefficient. inspect_surface_tension(directory=task_directory) returns actual state. Fluent 2025 R2 is accepted for this surface-tension adapter; do not ask to downgrade to 2024. Other Lee/DPM adapters retain their own version restrictions. Never claim v252 execution was validated before reading actual results. Do not ask the user to edit the plugin or click GUI dialogs for this supported operation.
Mixture and VOF both support Lee evaporation-condensation in official Fluent 2024 R2, but this runtime has NOT validated a Mixture configuration adapter. Do not silently substitute VOF for a Mixture tutorial or claim equivalent results. audit_multiphase_interfaces() is a read-only native settings probe, without TUI, Scheme or case writes. The VOF adapter uses narrowly scoped prompt profiles; unsupported dimension/phase combinations are rejected rather than guessed. For three-phase boiling setup in Fluent 2024 R2, use fluentagi.configure_three_phase_materials(directory=task_directory, materials=["air", "water-liquid", "water-vapor"]) to create actual phase-1/2/3 domains and verify material assignments. For an existing three-phase model, fluentagi.assign_multiphase_materials(materials=[...], directory=task_directory) assigns materials without changing the phase count. Then call fluentagi.configure_evaporation_condensation(directory=task_directory, saturation_temperature=T_sat_K, evaporation_frequency=from_frequency_per_second, condensation_frequency=to_frequency_per_second, from_phase="phase-2", to_phase="phase-3"). Pass the user's specified temperature/frequencies; preserve their geometry, heating and calculation parameters. This verified v242 VOF Lee adapter enables energy, uses a fixed official TUI journal and verifies the phase pair, constant saturation temperature, both frequencies and Lee model by an independent case snapshot. It does not initialize or advance the simulation. Do not say this feature is unavailable because direct TUI is forbidden; use the adapter. fluentagi.inspect_phase_change(directory=task_directory) returns actual phases and mass transfer settings, refreshing a unique case snapshot. Do not replace existing unrelated mechanisms. This adapter supports one Lee mass transfer pair, not Eulerian wall boiling, semi-mechanistic wall boiling, pressure-dependent saturation tables or UDFs. Do not claim a complete validated boiling simulation from successful setup alone. initialize_air is a TWO-PHASE adapter; do not use it for three-phase cases. Use verified settings initialization and phase-aware patching only for requested new calculations.
The runtime provides fluentagi.assign_phase_materials(primary="air", secondary="water-liquid", directory=task_directory), fluentagi.inspect_phases(), and fluentagi.export_results(directory=task_directory, fields=["pressure", "velocity-magnitude"]). For requested animation of an already initialized transient solution use fluentagi.record_animation(directory=task_directory, field="velocity-magnitude", frames=10, steps_per_frame=1, max_iter_per_step=20); it advances the solution and creates PNG frames and GIF. Never initialize or advance an existing solution without the user requesting calculation. These are executable verified adapters, not prose instructions. Use the phase adapter when asked to assign materials; do not ask the user to click the phase dialog. Print returned results. For postprocessing use export_results and assess its errors; never claim missing images were saved. Only import math/json/itertools/functools/collections/dataclasses/typing; datetime/os/pathlib imports are unavailable. Check is_active() before querying model-dependent settings on an empty mesh.
For NEW planar geometry and meshing use mesh = fluentagi.build_planar(directory=task_directory, points=[[x,y],...], inlet_edges=[0], outlet_edges=[2], size=0.001). Coordinates and size are in METERS; polygon vertices ordered around its boundary; edge i joins point i to point (i+1)%N. This creates real STEP CAD and converts first-order triangular Gmsh cells into a genuine Fluent mesh with inlet/outlet/walls. Then solver.settings.file.read_mesh(file_name=mesh["mesh_file"]), solver.settings.mesh.check(), configure physics, initialize, iterate, and export_results. Save current case/data before replacing loaded geometry. Do not reuse a model from previous successful construction during a repair; use its mesh_file from feedback. For curved planar CAD, use fluentagi.geometry_mesh(directory=task_directory,code=gmsh_script_string); the worker has gmsh,math,output_dir already, no imports; create OCC geometry and physical line groups named inlet,outlet,walls, export STEP, generate first-order triangular or quadrilateral mesh(2). Returned mesh_file is Fluent format; gmsh-native.msh is NOT Fluent format. 3D modeling and volume mesh conversion are now implemented. fluentagi.build_volume(directory=task_directory, shape="box",length=0.1,width=0.02,height=0.02,size=0.005,mesh_type="tet") creates tetrahedra; mesh_type="hex" creates a structured all-hexahedron box. shape="cylinder",radius=0.01 supports tetrahedra with axis along +X. Inlet is X=0 and outlet X=length. fluentagi.build_extruded(directory=task_directory,points=[[x,y],...],inlet_edges=[0],outlet_edges=[2],depth=0.01,size=0.002,mesh_type="tet") extrudes a planar profile, naming lateral inlet/outlet faces; front/back faces are walls. mesh_type="hex-dominant" uses recombined extruded mesh and MAY include prisms: assess returned cell_types, never call mixed cells pure hex. geometry_mesh supports arbitrary OCC volumes (boolean unions/cuts), physical SURFACE groups inlet/outlet/walls, and mesh.generate(3), first-order tet/hex/prism/pyramid. Imported STEP is not currently supported by the restricted worker. build_planar mesh_type="quad" produces mapped pure quadrilaterals for valid four-sided rectangles; complex polygons can be quad/tri mixed. 2D uses triangles/quads, 3D uses tet/hex. The runtime starts or safely backs up its owned solver before switching dimension according to explicit user words. Do not request user-supplied 3D mesh for supported geometry. Save backups before replacing any loaded mesh. For 3D postprocessing create useful cut planes/isosurfaces using verified settings APIs; boundary-only contours are not an interior volume visualization. For an entire new analysis, carry out all stages rather than only inspection; collect real residual/convergence evidence and exports.
For water-air transient filling, call fluentagi.configure_water_air(directory=task_directory,velocity=0.05,time_step=0.001,gravity_y=-9.81,inlet="inlet",outlet="outlet"). This backs up and sets laminar VOF, materials, phase-aware inlet/outlet, gravity and timestep; does NOT initialize or erase existing solution. For requested NEW filling use fluentagi.initialize_air(directory=task_directory), which saves a backup, hybrid initializes and patches phase-2 volume fraction to zero across all fluid cell zones. Never initialize_air on existing results without an explicit restart request. Fluent v242 contour fields are phase-2-vof (water, only after confirming phase-2=water-liquid) and phase-1-vof (air); do not confuse them. Query real contour field.allowed_values for VOF fields. For 3D interior contours/animation use section=fluentagi.create_section(axis="z",position=depth/2), then export_results(...,surfaces=[section["surface"]]) or record_animation(...,surfaces=[section["surface"]]). A plane section is not full volumetric rendering; report it accurately. Frames are 2..60. Each frame after the first advances steps_per_frame real time steps; final time is initial time+(frames-1)*steps_per_frame*time_step. Do not claim the pipe fills if the simulated duration is too short. Normalize typos like "二维四面体" by explaining 2D triangular equivalent; if depth/3D was explicitly requested, use volume tools.
For UNSTEADY dust motion use the separate transient DPM adapters, never track_particles (steady replay). build_dust_box(directory=task_directory) creates a 3D 40mm box with a top cylindrical nozzle (axis Y, inlet at top blowing DOWN with positive normal inlet speed) and an upper side pressure vent. Save existing case before reading its mesh_file. geometry parameters are SI and can be passed as named arguments. Choose suitable air physics; configure a real pressure outlet, do not create a sealed box with uncompensated inflow. configure_transient_dust(directory=task_directory,region_min=[.012,.003,.012],region_max=[.028,.004,.028],counts=[2,2,2],release_time=.02,release_duration=.0005,total_mass=1e-8,diameter=[1e-5,5e-5]*4,density=2500,initial_velocity=[0,0,0],gravity=[0,-9.81,0],time_step=.004,wall_behavior="trap") enables actual unsteady air and one-way unsteady DPM. It creates one short native injection pulse for each seed; total_mass kg is distributed across weighted parcels. It accepts explicit points instead of a region. The entire release pulse must fit inside one physical dt. Does NOT initialize. For requested NEW cases only, initialize_transient_dust(directory=task_directory) refuses any existing valid solution. Then advance_transient_dust(directory=task_directory,until_time=.2,max_iter_per_step=200,residual_tolerance=.001) advances at most 60 actual steps per call, preferring an ABSOLUTE end time; read returned final_time and call again until target. Already reached until_time does not advance again. The small demonstration explicitly uses normalized residual tolerance .001; honor stricter user requirements and never silently relax them. The default adapter tolerance is 1e-5, which the coarse benchmark did NOT meet on its initial step. Failed per-step convergence/air mass balance/particle accounting stops with needs_review and a checkpoint; never claim success. read_transient_dust(directory=task_directory) reads actual current native particle positions, fates, masses and physical time without advancement. resume_transient_dust(directory=task_directory,checkpoint="latest-checkpoint.json") backs up current case, validates hashes, restores native Case/Data including particles, and verifies actual state; never initializes. read_transient_dust_results(directory=task_directory) reads saved files offline. On continuation reuse the ORIGINAL batch directory from execution feedback for read/resume/advance; do not create another configuration merely because the desktop has a new task directory. Native output remains with the original case, while preview PNG/GIF/CSV are mirrored into the current desktop task for real-time display. Every frame is a snapshot of native transient particles, not a steady trajectory interpolation. Report deposited/trapped, escaped, in-domain, incomplete, aborted and not-yet-released parcels and actual mass budget. Caption all runs "预先释放悬浮颗粒，非积尘再悬浮". Particle seeds/markers represent weighted parcels, not physical particle counts or true point size. Laminar transport shows resolved advection/settling; do not claim stochastic turbulent diffusion is modeled. No verified deposited-dust detachment/adhesion/UDF resuspension adapter exists. Never add an upward initial velocity and call it resuspension. Preserve steady DPM as a distinct path.
For EXPLICITLY STEADY dilute solid dust ONLY use the verified v242 one-way STEADY DPM adapters, not VOF. First inspect_dpm(). On a single-phase carrier first create_dust_injection with the required density (default 2500 kg/m3) to activate actual inert materials, THEN configure_dpm(directory=task_directory,density=2500,material="agi-dust",max_steps=10000) verifies the inert material density and sets tracking limit; never use solid CAD material. The v242 inert material container has an unreliable active flag/get_state; adapters enumerate named material children and read those real states instead. Never query the entire inert material container. create_dust_injection(directory=task_directory,name="dust",start=[0.00001,0.003,0.01],end=[0.00001,0.017,0.01],streams=12,diameter=0.00005,mass_flow=0.0000001,velocity=[0.5,0,0],material="agi-dust") creates a real group injection. Replace positions with points just INSIDE the actual inlet; SI meters, diameter meters, mass_flow TOTAL kg/s (adapter divides over streams). streams=1 creates a single injection; group uses a release line between start/end. Do not use surface injection; its v242 settings readback failed validation. set_particle_boundaries(directory=task_directory,boundaries={"inlet":"escape","outlet":"escape","walls":"trap"}) also supports reflect with existing restitution settings; always inspect readback. Never silently change an existing multiphase or coupled DPM model. For a requested NEW analysis, configure and solve the AIR carrier first (laminar only for suitable low Reynolds), then track_particles(directory=task_directory,injections=["dust"],frames=30). This tracks native DPM trajectories, exports tracks.csv/json, native summary text, statistics and PNG/GIF. It does NOT initialize or advance the carrier. Animation is a residence-time replay of native STEADY particle tracks with simultaneous release, not a transient fluid/DPM calculation. Never use air pathlines or a continuous-phase contour as dust motion. Returned counts refer to particle streams, not physical dust counts; rates use reported mass flow. Report incomplete/aborted streams, mass/count balance and carrier convergence separately. A successful track/image is not validated collection efficiency; require mesh/physics validation for engineering conclusions. Preserve results; use a new injection name if its parameters change.
End with <final_answer>Chinese explanation of the intended changes, without claiming execution success</final_answer>.
If essential input or an incompatible session prevents a valid script, return only <question>the specific missing input in Chinese</question>.
After the desktop returns execution results, either provide a corrected script or return only <final_answer>a Chinese assessment supported by those results</final_answer>. Do not execute the same successful script again. Successful execution alone does not prove convergence.

Previous conversation and execution context (reference only; do not repeat successful scripts):
[{"user": "自己设计一个。赛车的前翼包括挡板和翼子板的和这个。这个主襟翼啊，然后设置流程网格加密智能的去看一下它的这个流线，动画，升力，阻力等。"}, {"assistant": "准备设计带双侧端板、主翼和襟翼的三维赛车前翼。请提供来流速度、前翼总宽和离地高度；如果只做演示，是否采用来流速度30 m/s、总宽1.2 m、离地高度0.1 m，并使用移动地面？这些参数会直接影响网格加密、流线动画及升阻力计算。", "run_directory": "C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142319-598cbb"}, {"user": "好的"}, {"assistant": "已确认采用30 m/s来流、1.2 m总宽、0.1 m离地高度和移动地面。但当前几何适配器仅声明支持 inlet、outlet、walls 三类边界，尚未确认能将前翼、地面和远场分别分组；这关系到移动地面设置及单独统计前翼升阻力。能否提供运行端支持独立壁面分组的能力反馈？否则无法可靠生成满足这些要求的完整脚本。", "run_directory": "C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142517-f253e1"}, {"user": "所有参数都是你来设计。"}]
Runtime capabilities:
{"protocol": "FluentAGI-capabilities-v1", "session": {"connected": true, "mode": "launch"}, "geometry": {"worker": "gmsh isolated process", "imports": [], "builtins": ["range", "len", "int", "float", "str", "list", "tuple", "enumerate", "zip", "min", "max", "abs", "round", "RuntimeError", "ValueError", "print", "set", "sum", "sorted", "bool", "all", "any"], "physical_groups": ["inlet", "outlet", "walls"], "cell_types": ["triangle", "quadrilateral", "tetrahedron", "hexahedron", "prism", "pyramid"]}, "script": {"imports": ["math", "json", "itertools", "functools", "collections", "dataclasses", "typing"], "adapters": ["build_dust_box", "configure_transient_dust", "initialize_transient_dust", "read_transient_dust", "advance_transient_dust", "resume_transient_dust", "read_transient_dust_results", "inspect_dpm", "configure_dpm", "create_dust_injection", "set_particle_boundaries", "track_particles", "build_planar", "build_volume", "build_extruded", "geometry_mesh", "configure_water_air", "initialize_air", "record_animation", "export_results", "assign_phase_materials", "assign_multiphase_materials", "configure_three_phase_materials", "audit_multiphase_interfaces", "configure_evaporation_condensation", "inspect_phase_change", "configure_surface_tension", "inspect_surface_tension"]}, "generated_at": 1792304747.7744308, "phase_change": {"version": "v242", "model": "Lee", "adapter_multiphase_models": ["vof"], "mixture_officially_available": true, "mixture_adapter_validated": false, "two_phase_2d_correction_runtime_validation": "pending", "automatic_model_switch": false, "phases": [2, 3], "saturation": "constant K", "frequencies": "positive finite 1/s", "mass_transfer_pairs": 1, "internal_official_tui": true, "generated_direct_tui": false, "readback": "unique case snapshot", "initializes": false}, "surface_tension": {"version": "v242/v252", "runtime_validation": {"v242": "previous native validation", "v252": "official command and generated SDK checked; customer runtime readback required"}, "model": "VOF", "coefficient": "nonnegative finite N/m", "preserves_other_pairs": true, "readback": "unique case snapshot", "initializes": false}, "transient_dpm": {"version": "v242", "model": "unsteady single-phase carrier + transient one-way inert DPM", "release": "one short native pulse per explicit point / region grid, max 64 weighted parcels", "chunk_steps": 60, "positions": "native current positions at actual physical time; never steady replay", "checkpoint": "unique Case/Data plus SHA256 and particle-state readback", "acceptance": "each-step residuals, native air mass flux, particle mass/count fate closure", "default_residual_tolerance": 1e-05, "benchmark_residual_tolerance": 0.001, "strict_1e_5_initial_step_validated": false, "resuspension_validated": false, "stochastic_turbulent_dispersion_validated": false}, "dpm": {"version": "v242", "carrier": "single phase, one-way, steady inert dust", "injection_types": ["single", "group"], "surface_injection_validated": false, "boundary_types": ["reflect", "trap", "escape"], "trajectory_source": "native GetParticleTracksField RPC", "animation": "steady DPM trajectory residence-time replay, no carrier advance", "transient_dpm_validated": false, "two_way_validated": false, "readback": true, "active": false}, "fluent_version": "Ansys Fluent 2024 R2", "model_active": false}
Current session:
{"connected": true, "dimension": 3, "mode": "solver", "owned": true, "continuation": true}
Task directory:
C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261018-142547-90d0a4
Current request:
所有参数都是你来设计。
Desktop execution feedback:
[{"failed_action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142547-90d0a4\"\ns = solver.settings\n\ndef checked(label, result):\n    print(label, result)\n    if isinstance(result, dict):\n        if result.get(\"status\") in (\"error\", \"failed\", \"needs_review\"):\n            raise RuntimeError(str(result))\n        if result.get(\"error\") or result.get(\"errors\"):\n            raise RuntimeError(str(result))\n    return result\n\ndef describe(label, obj):\n    print(label + \"_ACTIVE\", obj.is_active())\n    children = getattr(obj, \"child_names\", [])\n    commands = getattr(obj, \"command_names\", [])\n    queries = getattr(obj, \"query_names\", [])\n    print(label + \"_CHILDREN\", children)\n    print(label + \"_COMMANDS\", commands)\n    print(label + \"_QUERIES\", queries)\n    for name in commands:\n        command = getattr(obj, name)\n        print(label + \"_ARGUMENTS\", name, getattr(command, \"argument_names\", []))\n\nif s.setup.models.is_active():\n    s.file.write_case_data(\n        file_name=task_directory + r\"\\before_front_wing.cas.h5\"\n    )\n\ncode = \"\"\"\ngmsh.model.add(\"front_wing\")\nocc = gmsh.model.occ\ndomain = occ.addBox(-1.0, 0.0, -1.2, 4.0, 1.2, 2.4)\nparts = []\nfor chord, x0, y0, angle in [\n    (0.32, 0.0, 0.15, 8.0),\n    (0.14, 0.30, 0.215, 20.0)\n]:\n    n = 40\n    upper = []\n    lower = []\n    a = angle * math.pi / 180.0\n    for i in range(n + 1):\n        u = 0.5 * (1.0 - math.cos(math.pi * i / n))\n        t = 5.0 * 0.12 * chord * (\n            0.2969 * math.sqrt(u) - 0.1260 * u\n            - 0.3516 * u**2 + 0.2843 * u**3 - 0.1036 * u**4\n        )\n        if i == 0 or i == n:\n            t = 0.0\n        for points, sign in [(upper, 1.0), (lower, -1.0)]:\n            x = x0 + chord * u * math.cos(a) - sign * t * math.sin(a)\n            y = y0 + chord * u * math.sin(a) + sign * t * math.cos(a)\n            points.append(occ.addPoint(x, y, -0.60))\n    top = occ.addSpline(upper)\n    bottom_points = [upper[-1]] + lower[1:-1][::-1] + [upper[0]]\n    bottom = occ.addSpline(bottom_points)\n    wire = occ.addWire([top, bottom])\n    face = occ.addPlaneSurface([wire])\n    extrusion = occ.extrude([(2, face)], 0.0, 0.0, 1.20)\n    for dim, tag in extrusion:\n        if dim == 3:\n            parts.append((dim, tag))\nfor z in [-0.608, 0.600]:\n    plate = occ.addBox(-0.02, 0.10, z, 0.50, 0.24, 0.008)\n    parts.append((3, plate))\nbody, mapping = occ.fuse([parts[0]], parts[1:])\nfluid, mapping = occ.cut([(3, domain)], body)\nocc.removeAllDuplicates()\nocc.synchronize()\nvolumes = [tag for dim, tag in gmsh.model.getEntities(3)]\nif len(volumes) != 1:\n    raise RuntimeError(\"Expected one connected fluid volume\")\ngmsh.model.addPhysicalGroup(3, volumes, name=\"fluid\")\ninlet = []\noutlet = []\nwalls = []\nwing_faces = []\nground_faces = []\nfor dim, tag in gmsh.model.getBoundary(\n    [(3, volumes[0])], oriented=False, recursive=False\n):\n    b = gmsh.model.getBoundingBox(dim, tag)\n    if abs(b[0] + 1.0) < 1e-6 and abs(b[3] + 1.0) < 1e-6:\n        inlet.append(tag)\n    elif abs(b[0] - 3.0) < 1e-6 and abs(b[3] - 3.0) < 1e-6:\n        outlet.append(tag)\n    else:\n        walls.append(tag)\n        if abs(b[1]) < 1e-6 and abs(b[4]) < 1e-6:\n            ground_faces.append(tag)\n        elif b[0] > -0.03 and b[3] < 0.49 and b[1] > 0.09:\n            if b[2] > -0.62 and b[5] < 0.62:\n                wing_faces.append(tag)\nif not inlet or not outlet or not wing_faces or not ground_faces:\n    raise RuntimeError(\"Boundary classification failed\")\nfor name, tags in [(\"inlet\", inlet), (\"outlet\", outlet), (\"walls\", walls)]:\n    gmsh.model.addPhysicalGroup(2, tags, name=name)\ndistance = gmsh.model.mesh.field.add(\"Distance\")\ngmsh.model.mesh.field.setNumbers(distance, \"FacesList\", wing_faces)\ngmsh.model.mesh.field.setNumber(distance, \"Sampling\", 60)\nnear = gmsh.model.mesh.field.add(\"Threshold\")\nfor name, value in [\n    (\"InField\", distance), (\"SizeMin\", 0.008), (\"SizeMax\", 0.15),\n    (\"DistMin\", 0.012), (\"DistMax\", 0.18)\n]:\n    gmsh.model.mesh.field.setNumber(near, name, value)\nwake = gmsh.model.mesh.field.add(\"Box\")\nfor name, value in [\n    (\"VIn\", 0.04), (\"VOut\", 0.15),\n    (\"XMin\", 0.25), (\"XMax\", 1.6),\n    (\"YMin\", 0.07), (\"YMax\", 0.45),\n    (\"ZMin\", -0.72), (\"ZMax\", 0.72), (\"Thickness\", 0.12)\n]:\n    gmsh.model.mesh.field.setNumber(wake, name, value)\nminimum = gmsh.model.mesh.field.add(\"Min\")\ngmsh.model.mesh.field.setNumbers(minimum, \"FieldsList\", [near, wake])\ngmsh.model.mesh.field.setAsBackgroundMesh(minimum)\nfor name, value in [\n    (\"Mesh.MeshSizeFromPoints\", 0),\n    (\"Mesh.MeshSizeFromCurvature\", 0),\n    (\"Mesh.MeshSizeExtendFromBoundary\", 0),\n    (\"Mesh.ElementOrder\", 1),\n    (\"Mesh.Algorithm3D\", 1)\n]:\n    gmsh.option.setNumber(name, value)\ngmsh.write(output_dir + \"/front-wing.step\")\ngmsh.model.mesh.generate(3)\nprint(\"WING_CAD_SURFACES\", wing_faces)\nprint(\"GROUND_CAD_SURFACES\", ground_faces)\nprint(\"REFINEMENT\", 0.008, 0.04, 0.15)\n\"\"\"\n\nmesh = checked(\n    \"FRONT_WING_MESH\",\n    fluentagi.geometry_mesh(directory=task_directory, code=code),\n)\nif not isinstance(mesh, dict) or not mesh.get(\"mesh_file\"):\n    raise RuntimeError(\"Missing converted Fluent mesh\")\ns.file.read_mesh(file_name=mesh[\"mesh_file\"])\ns.mesh.check()\n\nif not s.setup.models.is_active():\n    raise RuntimeError(\"Mesh model is inactive\")\n\nprint(\"WALL_ZONE_NAMES\", s.setup.boundary_conditions.wall.get_object_names())\nprint(\"INLET_ZONE_NAMES\", s.setup.boundary_conditions.velocity_inlet.get_object_names())\nprint(\"OUTLET_ZONE_NAMES\", s.setup.boundary_conditions.pressure_outlet.get_object_names())\n\ndescribe(\"MESH\", s.mesh)\nfor name in getattr(s.mesh, \"child_names\", []):\n    if \"zone\" in name or \"modify\" in name:\n        describe(\"MESH_\" + name, getattr(s.mesh, name))\n\nwalls = s.setup.boundary_conditions.wall\nfor name in walls.get_object_names():\n    wall = walls[name]\n    print(\"WALL_STATE\", name, wall.get_state())\n    describe(\"WALL_MOMENTUM\", wall.momentum)\n    break\n\ndescribe(\"REPORT_DEFINITIONS\", s.solution.report_definitions)\nfor name in getattr(s.solution.report_definitions, \"child_names\", []):\n    if \"force\" in name or \"lift\" in name or \"drag\" in name:\n        describe(\"REPORT_\" + name, getattr(s.solution.report_definitions, name))\n\ngraphics = s.results.graphics\ndescribe(\"GRAPHICS\", graphics)\nfor name in getattr(graphics, \"child_names\", []):\n    if \"path\" in name or \"stream\" in name:\n        describe(\"GRAPHICS_\" + name, getattr(graphics, name))\n\ns.file.write_case(\n    file_name=task_directory + r\"\\front_wing_mesh_and_interfaces.cas.h5\"\n)\nprint(\"DESIGN\", {\n    \"velocity\": 30.0,\n    \"span\": 1.2,\n    \"main_chord\": 0.32,\n    \"flap_chord\": 0.14,\n    \"main_angle\": 8.0,\n    \"flap_angle\": 20.0,\n    \"minimum_clearance\": 0.10,\n})\nprint(\"STAGE\", \"mesh_and_native_interface_readback\")"}}, "error": "{\"status\": \"error\", \"stdout\": \"\", \"stderr\": \"\\nTraceback (most recent call last):\\n  File \\\"ansys\\\\fluent\\\\mcp\\\\solve\\\\backends\\\\pyfluent.py\\\", line 2793, in _do\\n    exec(  # noqa: S102  # nosec B102\\n  File \\\"<mcp>\\\", line 137, in <module>\\n  File \\\"automation.py\\\", line 84, in geometry_mesh\\n  File \\\"geometry.py\\\", line 34, in run_geometry\\nRuntimeError: 1500 nodes created - worst tet radius 1.19495 (nodes removed 0 0)\\nInfo    : It. 22000 - 22000 nodes created - worst tet radius 1.18649 (nodes removed 0 0)\\nInfo    : It. 22500 - 22500 nodes created - worst tet radius 1.17828 (nodes removed\n…中间日志已省略，完整日志保存在任务目录…\nnfo    : It. 37000 - 37000 nodes created - worst tet radius 1.03215 (nodes removed 0 0)\\nInfo    : It. 37500 - 37500 nodes created - worst tet radius 1.02835 (nodes removed 0 0)\\nInfo    : It. 38000 - 38000 nodes created - worst tet radius 1.02424 (nodes removed 0 0)\\nInfo    : It. 38500 - 38500 nodes created - worst tet radius 1.02006 (nodes removed 0 0)\\nInfo    : It. 39000 - 38999 nodes created - worst tet radius 1.0156 (nodes removed 0 1)\\nInfo    : It. 39500 - 39498 nodes created - worst tet radius 1.01198 (nodes removed 0 2)\\nInfo    : It. 40000 - 39998 nodes created - worst tet radius 1.00837 (nodes removed 0 2)\\nInfo    : It. 40500 - 40498 nodes created - worst tet radius 1.0046 (nodes removed 0 2)\\nInfo    : It. 41000 - 40998 nodes created - worst tet radius 1.00074 (nodes removed 0 2)\\nInfo    : 3D refinement terminated (72006 nodes total):\\nInfo    :  - 0 Delaunay cavities modified for star shapeness\\nInfo    :  - 2 nodes could not be inserted\\nInfo    :  - 354713 tetrahedra created in 3.91504 sec. (90602 tets/s)\\nInfo    : 2 node relocations\\nInfo    : Done meshing 3D (Wall 6.20603s, CPU 0.71875s)\\nInfo    : Optimizing mesh...\\nInfo    : Optimizing volume 1\\nInfo    : Optimization starts (volume = 11.5061) with worst = 0.00220309 / average = 0.742552:\\nInfo    : 0.00 < quality < 0.10 :       960 elements\\nInfo    : 0.10 < quality < 0.20 :      2509 elements\\nInfo    : 0.20 < quality < 0.30 :      4317 elements\\nInfo    : 0.30 < quality < 0.40 :      7694 elements\\nInfo    : 0.40 < quality < 0.50 :     14108 elements\\nInfo    : 0.50 < quality < 0.60 :     27465 elements\\nInfo    : 0.60 < quality < 0.70 :     51304 elements\\nInfo    : 0.70 < quality < 0.80 :     96886 elements\\nInfo    : 0.80 < quality < 0.90 :    103326 elements\\nInfo    : 0.90 < quality < 1.00 :     46144 elements\\nInfo    : 7525 edge swaps, 278 node relocations (volume = 11.5061): worst = 0.133329 / average = 0.754577 (Wall 0.167892s, CPU 0.0625s)\\nInfo    : 7616 edge swaps, 282 node relocations (volume = 11.5061): worst = 0.147867 / average = 0.754694 (Wall 0.20202s, CPU 0.0625s)\\nInfo    : 7620 edge swaps, 282 node relocations (volume = 11.5061): worst = 0.147867 / average = 0.7547 (Wall 0.234829s, CPU 0.0625s)\\nInfo    : No ill-shaped tets in the mesh :-)\\nInfo    : 0.00 < quality < 0.10 :         0 elements\\nInfo    : 0.10 < quality < 0.20 :         1 elements\\nInfo    : 0.20 < quality < 0.30 :        19 elements\\nInfo    : 0.30 < quality < 0.40 :      7625 elements\\nInfo    : 0.40 < quality < 0.50 :     13995 elements\\nInfo    : 0.50 < quality < 0.60 :     27796 elements\\nInfo    : 0.60 < quality < 0.70 :     51485 elements\\nInfo    : 0.70 < quality < 0.80 :     97343 elements\\nInfo    : 0.80 < quality < 0.90 :    104009 elements\\nInfo    : 0.90 < quality < 1.00 :     45880 elements\\nInfo    : Done optimizing mesh (Wall 0.627438s, CPU 0.109375s)\\nInfo    : 72166 nodes 411971 elements\\nTraceback (most recent call last):\\n  File \\\"desktop.py\\\", line 108, in <module>\\n  File \\\"desktop.py\\\", line 58, in main\\n  File \\\"geometry.py\\\", line 58, in worker_main\\n  File \\\"pipeline_mesh.py\\\", line 85, in export_volume\\nValueError: ������Ԫ��������1�C200000֮��\\nWING_CAD_SURFACES [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22]\\nGROUND_CAD_SURFACES [24]\\nREFINEMENT 0.008 0.04 0.15\\n\", \"error_code\": \"execution_error\", \"warnings\": []}", "note": "可能有部分操作已生效，请先检查实时状态，修复后继续。"}]
【ChatGPT 回复】
ChatGPT 说：

上轮体网格超过20万单元的转换上限，尚未载入 Fluent。本次适度放粗翼面和尾迹网格，并加入单元数量检查与自动调整，保留局部加密和原设计尺寸。

<fluent_code>
```python
# Use the existing connected PyFluent variable solver.
task_directory = r"C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261018-142547-90d0a4"
s = solver.settings

def checked(label, result):
    print(label, result)
    if isinstance(result, dict):
        if result.get("status") in ("error", "failed", "needs_review"):
            raise RuntimeError(str(result))
        if result.get("error") or result.get("errors"):
            raise RuntimeError(str(result))
    return result

def describe(label, obj):
    print(label + "_ACTIVE", obj.is_active())
    children = getattr(obj, "child_names", [])
    commands = getattr(obj, "command_names", [])
    print(label + "_CHILDREN", children)
    print(label + "_COMMANDS", commands)
    print(label + "_QUERIES", getattr(obj, "query_names", []))
    for name in commands:
        command = getattr(obj, name)
        print(label + "_ARGUMENTS", name, getattr(command, "argument_names", []))

print("CURRENT_MODEL_ACTIVE", s.setup.models.is_active())
if s.setup.models.is_active():
    print("CURRENT_SOLVER", s.setup.general.solver.get_state())
    print("CURRENT_FLUID_ZONES", s.setup.cell_zone_conditions.fluid.get_object_names())
    s.file.write_case_data(
        file_name=task_directory + r"\before_front_wing_mesh_repair.cas.h5"
    )

code = """
gmsh.model.add("front_wing")
occ = gmsh.model.occ
domain = occ.addBox(-1.0, 0.0, -1.2, 4.0, 1.2, 2.4)
parts = []
for chord, x0, y0, angle in [
    (0.32, 0.0, 0.15, 8.0),
    (0.14, 0.30, 0.215, 20.0)
]:
    upper = []
    lower = []
    a = angle * math.pi / 180.0
    for i in range(33):
        u = 0.5 * (1.0 - math.cos(math.pi * i / 32))
        t = 5.0 * 0.12 * chord * (
            0.2969 * math.sqrt(u) - 0.1260 * u
            - 0.3516 * u**2 + 0.2843 * u**3 - 0.1036 * u**4
        )
        if i == 0 or i == 32:
            t = 0.0
        for points, sign in [(upper, 1.0), (lower, -1.0)]:
            x = x0 + chord * u * math.cos(a) - sign * t * math.sin(a)
            y = y0 + chord * u * math.sin(a) + sign * t * math.cos(a)
            points.append(occ.addPoint(x, y, -0.60))
    top = occ.addSpline(upper)
    bottom = occ.addSpline(
        [upper[-1]] + lower[1:-1][::-1] + [upper[0]]
    )
    face = occ.addPlaneSurface([occ.addWire([top, bottom])])
    extrusion = occ.extrude([(2, face)], 0.0, 0.0, 1.20)
    for dim, tag in extrusion:
        if dim == 3:
            parts.append((dim, tag))
for z in [-0.608, 0.600]:
    parts.append((3, occ.addBox(-0.02, 0.10, z, 0.50, 0.24, 0.008)))
body, mapping = occ.fuse([parts[0]], parts[1:])
fluid, mapping = occ.cut([(3, domain)], body)
occ.removeAllDuplicates()
occ.synchronize()
volumes = [tag for dim, tag in gmsh.model.getEntities(3)]
if len(volumes) != 1:
    raise RuntimeError("Expected one connected fluid volume")
gmsh.model.addPhysicalGroup(3, volumes, name="fluid")
inlet = []
outlet = []
walls = []
wing_faces = []
ground_faces = []
for dim, tag in gmsh.model.getBoundary(
    [(3, volumes[0])], oriented=False, recursive=False
):
    b = gmsh.model.getBoundingBox(dim, tag)
    if abs(b[0] + 1.0) < 1e-6 and abs(b[3] + 1.0) < 1e-6:
        inlet.append(tag)
    elif abs(b[0] - 3.0) < 1e-6 and abs(b[3] - 3.0) < 1e-6:
        outlet.append(tag)
    else:
        walls.append(tag)
        if abs(b[1]) < 1e-6 and abs(b[4]) < 1e-6:
            ground_faces.append(tag)
        elif b[0] > -0.03 and b[3] < 0.49 and b[1] > 0.09:
            if b[2] > -0.62 and b[5] < 0.62:
                wing_faces.append(tag)
if not inlet or not outlet or not wing_faces or not ground_faces:
    raise RuntimeError("Boundary classification failed")
for name, tags in [("inlet", inlet), ("outlet", outlet), ("walls", walls)]:
    gmsh.model.addPhysicalGroup(2, tags, name=name)
distance = gmsh.model.mesh.field.add("Distance")
gmsh.model.mesh.field.setNumbers(distance, "FacesList", wing_faces)
gmsh.model.mesh.field.setNumber(distance, "Sampling", 40)
near = gmsh.model.mesh.field.add("Threshold")
gmsh.model.mesh.field.setNumber(near, "InField", distance)
gmsh.model.mesh.field.setNumber(near, "DistMin", 0.008)
gmsh.model.mesh.field.setNumber(near, "DistMax", 0.14)
wake = gmsh.model.mesh.field.add("Box")
for name, value in [
    ("XMin", 0.25), ("XMax", 1.6),
    ("YMin", 0.07), ("YMax", 0.45),
    ("ZMin", -0.72), ("ZMax", 0.72), ("Thickness", 0.12)
]:
    gmsh.model.mesh.field.setNumber(wake, name, value)
minimum = gmsh.model.mesh.field.add("Min")
gmsh.model.mesh.field.setNumbers(minimum, "FieldsList", [near, wake])
gmsh.model.mesh.field.setAsBackgroundMesh(minimum)
for name, value in [
    ("Mesh.MeshSizeFromPoints", 0),
    ("Mesh.MeshSizeFromCurvature", 0),
    ("Mesh.MeshSizeExtendFromBoundary", 0),
    ("Mesh.ElementOrder", 1),
    ("Mesh.Algorithm3D", 1),
    ("Mesh.Optimize", 1)
]:
    gmsh.option.setNumber(name, value)
gmsh.write(output_dir + "/front-wing.step")
accepted = False
for attempt in range(4):
    factor = 1.30 ** attempt
    fine = 0.014 * factor
    far = 0.20 * factor
    trail = 0.060 * factor
    gmsh.model.mesh.field.setNumber(near, "SizeMin", fine)
    gmsh.model.mesh.field.setNumber(near, "SizeMax", far)
    gmsh.model.mesh.field.setNumber(wake, "VIn", trail)
    gmsh.model.mesh.field.setNumber(wake, "VOut", far)
    gmsh.model.mesh.generate(3)
    element_types, element_tags, node_tags = gmsh.model.mesh.getElements(3)
    count = sum([len(tags) for tags in element_tags])
    print("MESH_BUDGET", attempt, count, fine, trail, far)
    if count > 0 and count <= 180000:
        accepted = True
        break
    gmsh.model.mesh.clear()
if not accepted:
    raise RuntimeError("Mesh budget exceeded after controlled coarsening")
print("FINAL_VOLUME_CELLS", count)
print("WING_CAD_SURFACES", wing_faces)
print("GROUND_CAD_SURFACES", ground_faces)
print("FINAL_LOCAL_SIZES", fine, trail, far)
"""

mesh = checked(
    "REPAIRED_FRONT_WING_MESH",
    fluentagi.geometry_mesh(directory=task_directory, code=code),
)
if not isinstance(mesh, dict) or not mesh.get("mesh_file"):
    raise RuntimeError("Missing converted Fluent mesh")

s.file.read_mesh(file_name=mesh["mesh_file"])
s.mesh.check()
if not s.setup.models.is_active():
    raise RuntimeError("Loaded mesh model is inactive")

s.file.write_case(
    file_name=task_directory + r"\front_wing_repaired_mesh.cas.h5"
)

bc = s.setup.boundary_conditions
for label, container in [
    ("WALL_ZONES", bc.wall),
    ("INLET_ZONES", bc.velocity_inlet),
    ("OUTLET_ZONES", bc.pressure_outlet),
]:
    print(label, container.get_object_names())

describe("MESH", s.mesh)
for name in getattr(s.mesh, "child_names", []):
    if "zone" in name or "modify" in name:
        describe("MESH_" + name, getattr(s.mesh, name))

for name in bc.wall.get_object_names():
    print("WALL_STATE", name, bc.wall[name].get_state())
    describe("WALL_MOMENTUM", bc.wall[name].momentum)
    break

reports = s.solution.report_definitions
describe("REPORT_DEFINITIONS", reports)
for name in getattr(reports, "child_names", []):
    if any(word in name for word in ["force", "lift", "drag"]):
        describe("REPORT_" + name, getattr(reports, name))

graphics = s.results.graphics
describe("GRAPHICS", graphics)
for name in getattr(graphics, "child_names", []):
    if "path" in name or "stream" in name:
        describe("GRAPHICS_" + name, getattr(graphics, name))

print("DESIGN", {
    "velocity": 30.0,
    "span": 1.2,
    "main_chord": 0.32,
    "flap_chord": 0.14,
    "main_angle": 8.0,
    "flap_angle": 20.0,
    "endplate_clearance": 0.10,
    "maximum_volume_cells": 180000,
})
print("STAGE", "mesh_repair_and_native_interface_readback")
```
</fluent_code>

<final_answer>本次修复网格数量超限，加入最多四次按实际体单元数调整的网格生成流程。保留主翼、襟翼、端板及局部加密；不会初始化或推进求解。移动地面、前翼独立受力统计及流线动画仍需依据本轮原生接口反馈继续配置。</final_answer>

round-03
【发送给 ChatGPT】
You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout:

<fluent_code>

```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.
```

</fluent_code>

Put a newline before and after each tag and each fence. Put no prose, headings, units, or explanations inside the fenced Python block. Do not place ```python and Python statements on the same line. Keep the script under 280 lines. Use loops instead of repeating similar statements. Never truncate a string, parenthesis, or code fence; always close </fluent_code>.
Use the existing solver session and compatible PyFluent APIs. A completed conversation turn does not close the session. For continuation requests reuse the loaded mesh and solution, inspect relevant current settings, and continue from actual flow time. Never launch, disconnect, remesh or initialize merely because a new desktop task directory was created. Do not launch or close Fluent. Do not use Abaqus APIs. Use solver.settings APIs and the provided fluentagi adapters. Direct solver.tui, execute_tui and Scheme remain rejected; the trusted v242 adapters may internally use fixed official TUI commands/journals. For mesh display use solver.settings.results.graphics.mesh and graphics.views APIs. Do not return JSON tool plans. Do not invent mesh files or API names. Only operate on the requested case and task directory. Preserve existing results. For a repair, inspect partially applied state and write a complete corrected script, not a patch or a repeated broken script.
The web AI cannot read or modify host application source. Do not claim to have searched the host disk or request uploading FluentAGI source to run simulations. Use the verified runtime adapters. Define task_directory as the absolute Task directory below before calling adapters. For VOF surface tension use fluentagi.configure_surface_tension(directory=task_directory,coefficient=0.072,phase_a="phase-1",phase_b="phase-2"); coefficient is N/m, replace the example with the requested value. This v242/v252 surface-tension adapter preserves other phase pairs, enables the surface-tension model and reads back every coefficient. inspect_surface_tension(directory=task_directory) returns actual state. Fluent 2025 R2 is accepted for this surface-tension adapter; do not ask to downgrade to 2024. Other Lee/DPM adapters retain their own version restrictions. Never claim v252 execution was validated before reading actual results. Do not ask the user to edit the plugin or click GUI dialogs for this supported operation.
Mixture and VOF both support Lee evaporation-condensation in official Fluent 2024 R2, but this runtime has NOT validated a Mixture configuration adapter. Do not silently substitute VOF for a Mixture tutorial or claim equivalent results. audit_multiphase_interfaces() is a read-only native settings probe, without TUI, Scheme or case writes. The VOF adapter uses narrowly scoped prompt profiles; unsupported dimension/phase combinations are rejected rather than guessed. For three-phase boiling setup in Fluent 2024 R2, use fluentagi.configure_three_phase_materials(directory=task_directory, materials=["air", "water-liquid", "water-vapor"]) to create actual phase-1/2/3 domains and verify material assignments. For an existing three-phase model, fluentagi.assign_multiphase_materials(materials=[...], directory=task_directory) assigns materials without changing the phase count. Then call fluentagi.configure_evaporation_condensation(directory=task_directory, saturation_temperature=T_sat_K, evaporation_frequency=from_frequency_per_second, condensation_frequency=to_frequency_per_second, from_phase="phase-2", to_phase="phase-3"). Pass the user's specified temperature/frequencies; preserve their geometry, heating and calculation parameters. This verified v242 VOF Lee adapter enables energy, uses a fixed official TUI journal and verifies the phase pair, constant saturation temperature, both frequencies and Lee model by an independent case snapshot. It does not initialize or advance the simulation. Do not say this feature is unavailable because direct TUI is forbidden; use the adapter. fluentagi.inspect_phase_change(directory=task_directory) returns actual phases and mass transfer settings, refreshing a unique case snapshot. Do not replace existing unrelated mechanisms. This adapter supports one Lee mass transfer pair, not Eulerian wall boiling, semi-mechanistic wall boiling, pressure-dependent saturation tables or UDFs. Do not claim a complete validated boiling simulation from successful setup alone. initialize_air is a TWO-PHASE adapter; do not use it for three-phase cases. Use verified settings initialization and phase-aware patching only for requested new calculations.
The runtime provides fluentagi.assign_phase_materials(primary="air", secondary="water-liquid", directory=task_directory), fluentagi.inspect_phases(), and fluentagi.export_results(directory=task_directory, fields=["pressure", "velocity-magnitude"]). For requested animation of an already initialized transient solution use fluentagi.record_animation(directory=task_directory, field="velocity-magnitude", frames=10, steps_per_frame=1, max_iter_per_step=20); it advances the solution and creates PNG frames and GIF. Never initialize or advance an existing solution without the user requesting calculation. These are executable verified adapters, not prose instructions. Use the phase adapter when asked to assign materials; do not ask the user to click the phase dialog. Print returned results. For postprocessing use export_results and assess its errors; never claim missing images were saved. Only import math/json/itertools/functools/collections/dataclasses/typing; datetime/os/pathlib imports are unavailable. Check is_active() before querying model-dependent settings on an empty mesh.
For NEW planar geometry and meshing use mesh = fluentagi.build_planar(directory=task_directory, points=[[x,y],...], inlet_edges=[0], outlet_edges=[2], size=0.001). Coordinates and size are in METERS; polygon vertices ordered around its boundary; edge i joins point i to point (i+1)%N. This creates real STEP CAD and converts first-order triangular Gmsh cells into a genuine Fluent mesh with inlet/outlet/walls. Then solver.settings.file.read_mesh(file_name=mesh["mesh_file"]), solver.settings.mesh.check(), configure physics, initialize, iterate, and export_results. Save current case/data before replacing loaded geometry. Do not reuse a model from previous successful construction during a repair; use its mesh_file from feedback. For curved planar CAD, use fluentagi.geometry_mesh(directory=task_directory,code=gmsh_script_string); the worker has gmsh,math,output_dir already, no imports; create OCC geometry and physical line groups named inlet,outlet,walls, export STEP, generate first-order triangular or quadrilateral mesh(2). Returned mesh_file is Fluent format; gmsh-native.msh is NOT Fluent format. 3D modeling and volume mesh conversion are now implemented. fluentagi.build_volume(directory=task_directory, shape="box",length=0.1,width=0.02,height=0.02,size=0.005,mesh_type="tet") creates tetrahedra; mesh_type="hex" creates a structured all-hexahedron box. shape="cylinder",radius=0.01 supports tetrahedra with axis along +X. Inlet is X=0 and outlet X=length. fluentagi.build_extruded(directory=task_directory,points=[[x,y],...],inlet_edges=[0],outlet_edges=[2],depth=0.01,size=0.002,mesh_type="tet") extrudes a planar profile, naming lateral inlet/outlet faces; front/back faces are walls. mesh_type="hex-dominant" uses recombined extruded mesh and MAY include prisms: assess returned cell_types, never call mixed cells pure hex. geometry_mesh supports arbitrary OCC volumes (boolean unions/cuts), physical SURFACE groups inlet/outlet/walls, and mesh.generate(3), first-order tet/hex/prism/pyramid. Imported STEP is not currently supported by the restricted worker. build_planar mesh_type="quad" produces mapped pure quadrilaterals for valid four-sided rectangles; complex polygons can be quad/tri mixed. 2D uses triangles/quads, 3D uses tet/hex. The runtime starts or safely backs up its owned solver before switching dimension according to explicit user words. Do not request user-supplied 3D mesh for supported geometry. Save backups before replacing any loaded mesh. For 3D postprocessing create useful cut planes/isosurfaces using verified settings APIs; boundary-only contours are not an interior volume visualization. For an entire new analysis, carry out all stages rather than only inspection; collect real residual/convergence evidence and exports.
For water-air transient filling, call fluentagi.configure_water_air(directory=task_directory,velocity=0.05,time_step=0.001,gravity_y=-9.81,inlet="inlet",outlet="outlet"). This backs up and sets laminar VOF, materials, phase-aware inlet/outlet, gravity and timestep; does NOT initialize or erase existing solution. For requested NEW filling use fluentagi.initialize_air(directory=task_directory), which saves a backup, hybrid initializes and patches phase-2 volume fraction to zero across all fluid cell zones. Never initialize_air on existing results without an explicit restart request. Fluent v242 contour fields are phase-2-vof (water, only after confirming phase-2=water-liquid) and phase-1-vof (air); do not confuse them. Query real contour field.allowed_values for VOF fields. For 3D interior contours/animation use section=fluentagi.create_section(axis="z",position=depth/2), then export_results(...,surfaces=[section["surface"]]) or record_animation(...,surfaces=[section["surface"]]). A plane section is not full volumetric rendering; report it accurately. Frames are 2..60. Each frame after the first advances steps_per_frame real time steps; final time is initial time+(frames-1)*steps_per_frame*time_step. Do not claim the pipe fills if the simulated duration is too short. Normalize typos like "二维四面体" by explaining 2D triangular equivalent; if depth/3D was explicitly requested, use volume tools.
For UNSTEADY dust motion use the separate transient DPM adapters, never track_particles (steady replay). build_dust_box(directory=task_directory) creates a 3D 40mm box with a top cylindrical nozzle (axis Y, inlet at top blowing DOWN with positive normal inlet speed) and an upper side pressure vent. Save existing case before reading its mesh_file. geometry parameters are SI and can be passed as named arguments. Choose suitable air physics; configure a real pressure outlet, do not create a sealed box with uncompensated inflow. configure_transient_dust(directory=task_directory,region_min=[.012,.003,.012],region_max=[.028,.004,.028],counts=[2,2,2],release_time=.02,release_duration=.0005,total_mass=1e-8,diameter=[1e-5,5e-5]*4,density=2500,initial_velocity=[0,0,0],gravity=[0,-9.81,0],time_step=.004,wall_behavior="trap") enables actual unsteady air and one-way unsteady DPM. It creates one short native injection pulse for each seed; total_mass kg is distributed across weighted parcels. It accepts explicit points instead of a region. The entire release pulse must fit inside one physical dt. Does NOT initialize. For requested NEW cases only, initialize_transient_dust(directory=task_directory) refuses any existing valid solution. Then advance_transient_dust(directory=task_directory,until_time=.2,max_iter_per_step=200,residual_tolerance=.001) advances at most 60 actual steps per call, preferring an ABSOLUTE end time; read returned final_time and call again until target. Already reached until_time does not advance again. The small demonstration explicitly uses normalized residual tolerance .001; honor stricter user requirements and never silently relax them. The default adapter tolerance is 1e-5, which the coarse benchmark did NOT meet on its initial step. Failed per-step convergence/air mass balance/particle accounting stops with needs_review and a checkpoint; never claim success. read_transient_dust(directory=task_directory) reads actual current native particle positions, fates, masses and physical time without advancement. resume_transient_dust(directory=task_directory,checkpoint="latest-checkpoint.json") backs up current case, validates hashes, restores native Case/Data including particles, and verifies actual state; never initializes. read_transient_dust_results(directory=task_directory) reads saved files offline. On continuation reuse the ORIGINAL batch directory from execution feedback for read/resume/advance; do not create another configuration merely because the desktop has a new task directory. Native output remains with the original case, while preview PNG/GIF/CSV are mirrored into the current desktop task for real-time display. Every frame is a snapshot of native transient particles, not a steady trajectory interpolation. Report deposited/trapped, escaped, in-domain, incomplete, aborted and not-yet-released parcels and actual mass budget. Caption all runs "预先释放悬浮颗粒，非积尘再悬浮". Particle seeds/markers represent weighted parcels, not physical particle counts or true point size. Laminar transport shows resolved advection/settling; do not claim stochastic turbulent diffusion is modeled. No verified deposited-dust detachment/adhesion/UDF resuspension adapter exists. Never add an upward initial velocity and call it resuspension. Preserve steady DPM as a distinct path.
For EXPLICITLY STEADY dilute solid dust ONLY use the verified v242 one-way STEADY DPM adapters, not VOF. First inspect_dpm(). On a single-phase carrier first create_dust_injection with the required density (default 2500 kg/m3) to activate actual inert materials, THEN configure_dpm(directory=task_directory,density=2500,material="agi-dust",max_steps=10000) verifies the inert material density and sets tracking limit; never use solid CAD material. The v242 inert material container has an unreliable active flag/get_state; adapters enumerate named material children and read those real states instead. Never query the entire inert material container. create_dust_injection(directory=task_directory,name="dust",start=[0.00001,0.003,0.01],end=[0.00001,0.017,0.01],streams=12,diameter=0.00005,mass_flow=0.0000001,velocity=[0.5,0,0],material="agi-dust") creates a real group injection. Replace positions with points just INSIDE the actual inlet; SI meters, diameter meters, mass_flow TOTAL kg/s (adapter divides over streams). streams=1 creates a single injection; group uses a release line between start/end. Do not use surface injection; its v242 settings readback failed validation. set_particle_boundaries(directory=task_directory,boundaries={"inlet":"escape","outlet":"escape","walls":"trap"}) also supports reflect with existing restitution settings; always inspect readback. Never silently change an existing multiphase or coupled DPM model. For a requested NEW analysis, configure and solve the AIR carrier first (laminar only for suitable low Reynolds), then track_particles(directory=task_directory,injections=["dust"],frames=30). This tracks native DPM trajectories, exports tracks.csv/json, native summary text, statistics and PNG/GIF. It does NOT initialize or advance the carrier. Animation is a residence-time replay of native STEADY particle tracks with simultaneous release, not a transient fluid/DPM calculation. Never use air pathlines or a continuous-phase contour as dust motion. Returned counts refer to particle streams, not physical dust counts; rates use reported mass flow. Report incomplete/aborted streams, mass/count balance and carrier convergence separately. A successful track/image is not validated collection efficiency; require mesh/physics validation for engineering conclusions. Preserve results; use a new injection name if its parameters change.
End with <final_answer>Chinese explanation of the intended changes, without claiming execution success</final_answer>.
If essential input or an incompatible session prevents a valid script, return only <question>the specific missing input in Chinese</question>.
After the desktop returns execution results, either provide a corrected script or return only <final_answer>a Chinese assessment supported by those results</final_answer>. Do not execute the same successful script again. Successful execution alone does not prove convergence.

Previous conversation and execution context (reference only; do not repeat successful scripts):
[{"user": "自己设计一个。赛车的前翼包括挡板和翼子板的和这个。这个主襟翼啊，然后设置流程网格加密智能的去看一下它的这个流线，动画，升力，阻力等。"}, {"assistant": "准备设计带双侧端板、主翼和襟翼的三维赛车前翼。请提供来流速度、前翼总宽和离地高度；如果只做演示，是否采用来流速度30 m/s、总宽1.2 m、离地高度0.1 m，并使用移动地面？这些参数会直接影响网格加密、流线动画及升阻力计算。", "run_directory": "C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142319-598cbb"}, {"user": "好的"}, {"assistant": "已确认采用30 m/s来流、1.2 m总宽、0.1 m离地高度和移动地面。但当前几何适配器仅声明支持 inlet、outlet、walls 三类边界，尚未确认能将前翼、地面和远场分别分组；这关系到移动地面设置及单独统计前翼升阻力。能否提供运行端支持独立壁面分组的能力反馈？否则无法可靠生成满足这些要求的完整脚本。", "run_directory": "C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142517-f253e1"}, {"user": "所有参数都是你来设计。"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_MODEL_ACTIVE False\\nREPAIRED_FRONT_WING_MESH {'files': ['C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\cad-d1bc89e9\\\\\\\\fluent.msh', 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\cad-d1bc89e9\\\\\\\\front-wing.step'], 'log': 'lane, Frontal-Delaunay)\\\\nInfo    : Done meshing 2D (Wall 0.31698s, CPU 0s)\\\\nInfo    : Meshing 3D...\\\\nInfo    : 3D Meshing 1 vol\n…中间日志已省略，完整日志保存在任务目录…\nS list_1 []\\nREPORT_drag_ARGUMENTS list_properties_1 ['object_name']\\nREPORT_drag_ARGUMENTS make_a_copy ['from_', 'to']\\nGRAPHICS_ACTIVE True\\nGRAPHICS_CHILDREN ['mesh', 'contour', 'vector', 'pathline', 'particle_track', 'lic', 'olic', 'volumes', 'contours', 'particle_tracks', 'colors', 'lighting', 'picture', 'views', 'windows', 'raytracing_options', 'pulse', 'periodic_instancing']\\nGRAPHICS_COMMANDS []\\nGRAPHICS_QUERIES []\\nGRAPHICS_pathline_ACTIVE False\\nGRAPHICS_pathline_CHILDREN []\\nGRAPHICS_pathline_COMMANDS ['delete', 'rename', 'list_1', 'list_properties_1', 'make_a_copy', 'display', 'copy', 'add_to_graphics', 'clear_history']\\nGRAPHICS_pathline_QUERIES []\\nGRAPHICS_pathline_ARGUMENTS delete ['name_list']\\nGRAPHICS_pathline_ARGUMENTS rename ['new', 'old']\\nGRAPHICS_pathline_ARGUMENTS list_1 []\\nGRAPHICS_pathline_ARGUMENTS list_properties_1 ['object_name']\\nGRAPHICS_pathline_ARGUMENTS make_a_copy ['from_', 'to']\\nGRAPHICS_pathline_ARGUMENTS display ['object_name']\\nGRAPHICS_pathline_ARGUMENTS copy ['from_name', 'new_name']\\nGRAPHICS_pathline_ARGUMENTS add_to_graphics ['object_name']\\nGRAPHICS_pathline_ARGUMENTS clear_history ['object_name']\\nDESIGN {'velocity': 30.0, 'span': 1.2, 'main_chord': 0.32, 'flap_chord': 0.14, 'main_angle': 8.0, 'flap_angle': 20.0, 'endplate_clearance': 0.1, 'maximum_volume_cells': 180000}\\nSTAGE mesh_repair_and_native_interface_readback\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
Runtime capabilities:
{"protocol": "FluentAGI-capabilities-v1", "session": {"connected": true, "mode": "launch"}, "geometry": {"worker": "gmsh isolated process", "imports": [], "builtins": ["range", "len", "int", "float", "str", "list", "tuple", "enumerate", "zip", "min", "max", "abs", "round", "RuntimeError", "ValueError", "print", "set", "sum", "sorted", "bool", "all", "any"], "physical_groups": ["inlet", "outlet", "walls"], "cell_types": ["triangle", "quadrilateral", "tetrahedron", "hexahedron", "prism", "pyramid"]}, "script": {"imports": ["math", "json", "itertools", "functools", "collections", "dataclasses", "typing"], "adapters": ["build_dust_box", "configure_transient_dust", "initialize_transient_dust", "read_transient_dust", "advance_transient_dust", "resume_transient_dust", "read_transient_dust_results", "inspect_dpm", "configure_dpm", "create_dust_injection", "set_particle_boundaries", "track_particles", "build_planar", "build_volume", "build_extruded", "geometry_mesh", "configure_water_air", "initialize_air", "record_animation", "export_results", "assign_phase_materials", "assign_multiphase_materials", "configure_three_phase_materials", "audit_multiphase_interfaces", "configure_evaporation_condensation", "inspect_phase_change", "configure_surface_tension", "inspect_surface_tension"]}, "generated_at": 1792304747.7744308, "phase_change": {"version": "v242", "model": "Lee", "adapter_multiphase_models": ["vof"], "mixture_officially_available": true, "mixture_adapter_validated": false, "two_phase_2d_correction_runtime_validation": "pending", "automatic_model_switch": false, "phases": [2, 3], "saturation": "constant K", "frequencies": "positive finite 1/s", "mass_transfer_pairs": 1, "internal_official_tui": true, "generated_direct_tui": false, "readback": "unique case snapshot", "initializes": false}, "surface_tension": {"version": "v242/v252", "runtime_validation": {"v242": "previous native validation", "v252": "official command and generated SDK checked; customer runtime readback required"}, "model": "VOF", "coefficient": "nonnegative finite N/m", "preserves_other_pairs": true, "readback": "unique case snapshot", "initializes": false}, "transient_dpm": {"version": "v242", "model": "unsteady single-phase carrier + transient one-way inert DPM", "release": "one short native pulse per explicit point / region grid, max 64 weighted parcels", "chunk_steps": 60, "positions": "native current positions at actual physical time; never steady replay", "checkpoint": "unique Case/Data plus SHA256 and particle-state readback", "acceptance": "each-step residuals, native air mass flux, particle mass/count fate closure", "default_residual_tolerance": 1e-05, "benchmark_residual_tolerance": 0.001, "strict_1e_5_initial_step_validated": false, "resuspension_validated": false, "stochastic_turbulent_dispersion_validated": false}, "dpm": {"version": "v242", "carrier": "single phase, one-way, steady inert dust", "injection_types": ["single", "group"], "surface_injection_validated": false, "boundary_types": ["reflect", "trap", "escape"], "trajectory_source": "native GetParticleTracksField RPC", "animation": "steady DPM trajectory residence-time replay, no carrier advance", "transient_dpm_validated": false, "two_way_validated": false, "readback": true, "active": false}, "fluent_version": "Ansys Fluent 2024 R2", "model_active": false}
Current session:
{"connected": true, "dimension": 3, "mode": "solver", "owned": true, "continuation": true}
Task directory:
C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261018-142547-90d0a4
Current request:
所有参数都是你来设计。
Desktop execution feedback:
[{"failed_action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142547-90d0a4\"\ns = solver.settings\n\ndef checked(label, result):\n    print(label, result)\n    if isinstance(result, dict):\n        if result.get(\"status\") in (\"error\", \"failed\", \"needs_review\"):\n            raise RuntimeError(str(result))\n        if result.get(\"error\") or result.get(\"errors\"):\n            raise RuntimeError(str(result))\n    return result\n\ndef describe(label, obj):\n    print(label + \"_ACTIVE\", obj.is_active())\n    children = getattr(obj, \"child_names\", [])\n    commands = getattr(obj, \"command_names\", [])\n    queries = getattr(obj, \"query_names\", [])\n    print(label + \"_CHILDREN\", children)\n    print(label + \"_COMMANDS\", commands)\n    print(label + \"_QUERIES\", queries)\n    for name in commands:\n        command = getattr(obj, name)\n        print(label + \"_ARGUMENTS\", name, getattr(command, \"argument_names\", []))\n\nif s.setup.models.is_active():\n    s.file.write_case_data(\n        file_name=task_directory + r\"\\before_front_wing.cas.h5\"\n    )\n\ncode = \"\"\"\ngmsh.model.add(\"front_wing\")\nocc = gmsh.model.occ\ndomain = occ.addBox(-1.0, 0.0, -1.2, 4.0, 1.2, 2.4)\nparts = []\nfor chord, x0, y0, angle in [\n    (0.32, 0.0, 0.15, 8.0),\n    (0.14, 0.30, 0.215, 20.0)\n]:\n    n = 40\n    upper = []\n    lower = []\n    a = angle * math.pi / 180.0\n    for i in range(n + 1):\n        u = 0.5 * (1.0 - math.cos(math.pi * i / n))\n        t = 5.0 * 0.12 * chord * (\n            0.2969 * math.sqrt(u) - 0.1260 * u\n            - 0.3516 * u**2 + 0.2843 * u**3 - 0.1036 * u**4\n        )\n        if i == 0 or i == n:\n            t = 0.0\n        for points, sign in [(upper, 1.0), (lower, -1.0)]:\n            x = x0 + chord * u * math.cos(a) - sign * t * math.sin(a)\n            y = y0 + chord * u * math.sin(a) + sign * t * math.cos(a)\n            points.append(occ.addPoint(x, y, -0.60))\n    top = occ.addSpline(upper)\n    bottom_points = [upper[-1]] + lower[1:-1][::-1] + [upper[0]]\n    bottom = occ.addSpline(bottom_points)\n    wire = occ.addWire([top, bottom])\n    face = occ.addPlaneSurface([wire])\n    extrusion = occ.extrude([(2, face)], 0.0, 0.0, 1.20)\n    for dim, tag in extrusion:\n        if dim == 3:\n            parts.append((dim, tag))\nfor z in [-0.608, 0.600]:\n    plate = occ.addBox(-0.02, 0.10, z, 0.50, 0.24, 0.008)\n    parts.append((3, plate))\nbody, mapping = occ.fuse([parts[0]], parts[1:])\nfluid, mapping = occ.cut([(3, domain)], body)\nocc.removeAllDuplicates()\nocc.synchronize()\nvolumes = [tag for dim, tag in gmsh.model.getEntities(3)]\nif len(volumes) != 1:\n    raise RuntimeError(\"Expected one connected fluid volume\")\ngmsh.model.addPhysicalGroup(3, volumes, name=\"fluid\")\ninlet = []\noutlet = []\nwalls = []\nwing_faces = []\nground_faces = []\nfor dim, tag in gmsh.model.getBoundary(\n    [(3, volumes[0])], oriented=False, recursive=False\n):\n    b = gmsh.model.getBoundingBox(dim, tag)\n    if abs(b[0] + 1.0) < 1e-6 and abs(b[3] + 1.0) < 1e-6:\n        inlet.append(tag)\n    elif abs(b[0] - 3.0) < 1e-6 and abs(b[3] - 3.0) < 1e-6:\n        outlet.append(tag)\n    else:\n        walls.append(tag)\n        if abs(b[1]) < 1e-6 and abs(b[4]) < 1e-6:\n            ground_faces.append(tag)\n        elif b[0] > -0.03 and b[3] < 0.49 and b[1] > 0.09:\n            if b[2] > -0.62 and b[5] < 0.62:\n                wing_faces.append(tag)\nif not inlet or not outlet or not wing_faces or not ground_faces:\n    raise RuntimeError(\"Boundary classification failed\")\nfor name, tags in [(\"inlet\", inlet), (\"outlet\", outlet), (\"walls\", walls)]:\n    gmsh.model.addPhysicalGroup(2, tags, name=name)\ndistance = gmsh.model.mesh.field.add(\"Distance\")\ngmsh.model.mesh.field.setNumbers(distance, \"FacesList\", wing_faces)\ngmsh.model.mesh.field.setNumber(distance, \"Sampling\", 60)\nnear = gmsh.model.mesh.field.add(\"Threshold\")\nfor name, value in [\n    (\"InField\", distance), (\"SizeMin\", 0.008), (\"SizeMax\", 0.15),\n    (\"DistMin\", 0.012), (\"DistMax\", 0.18)\n]:\n    gmsh.model.mesh.field.setNumber(near, name, value)\nwake = gmsh.model.mesh.field.add(\"Box\")\nfor name, value in [\n    (\"VIn\", 0.04), (\"VOut\", 0.15),\n    (\"XMin\", 0.25), (\"XMax\", 1.6),\n    (\"YMin\", 0.07), (\"YMax\", 0.45),\n    (\"ZMin\", -0.72), (\"ZMax\", 0.72), (\"Thickness\", 0.12)\n]:\n    gmsh.model.mesh.field.setNumber(wake, name, value)\nminimum = gmsh.model.mesh.field.add(\"Min\")\ngmsh.model.mesh.field.setNumbers(minimum, \"FieldsList\", [near, wake])\ngmsh.model.mesh.field.setAsBackgroundMesh(minimum)\nfor name, value in [\n    (\"Mesh.MeshSizeFromPoints\", 0),\n    (\"Mesh.MeshSizeFromCurvature\", 0),\n    (\"Mesh.MeshSizeExtendFromBoundary\", 0),\n    (\"Mesh.ElementOrder\", 1),\n    (\"Mesh.Algorithm3D\", 1)\n]:\n    gmsh.option.setNumber(name, value)\ngmsh.write(output_dir + \"/front-wing.step\")\ngmsh.model.mesh.generate(3)\nprint(\"WING_CAD_SURFACES\", wing_faces)\nprint(\"GROUND_CAD_SURFACES\", ground_faces)\nprint(\"REFINEMENT\", 0.008, 0.04, 0.15)\n\"\"\"\n\nmesh = checked(\n    \"FRONT_WING_MESH\",\n    fluentagi.geometry_mesh(directory=task_directory, code=code),\n)\nif not isinstance(mesh, dict) or not mesh.get(\"mesh_file\"):\n    raise RuntimeError(\"Missing converted Fluent mesh\")\ns.file.read_mesh(file_name=mesh[\"mesh_file\"])\ns.mesh.check()\n\nif not s.setup.models.is_active():\n    raise RuntimeError(\"Mesh model is inactive\")\n\nprint(\"WALL_ZONE_NAMES\", s.setup.boundary_conditions.wall.get_object_names())\nprint(\"INLET_ZONE_NAMES\", s.setup.boundary_conditions.velocity_inlet.get_object_names())\nprint(\"OUTLET_ZONE_NAMES\", s.setup.boundary_conditions.pressure_outlet.get_object_names())\n\ndescribe(\"MESH\", s.mesh)\nfor name in getattr(s.mesh, \"child_names\", []):\n    if \"zone\" in name or \"modify\" in name:\n        describe(\"MESH_\" + name, getattr(s.mesh, name))\n\nwalls = s.setup.boundary_conditions.wall\nfor name in walls.get_object_names():\n    wall = walls[name]\n    print(\"WALL_STATE\", name, wall.get_state())\n    describe(\"WALL_MOMENTUM\", wall.momentum)\n    break\n\ndescribe(\"REPORT_DEFINITIONS\", s.solution.report_definitions)\nfor name in getattr(s.solution.report_definitions, \"child_names\", []):\n    if \"force\" in name or \"lift\" in name or \"drag\" in name:\n        describe(\"REPORT_\" + name, getattr(s.solution.report_definitions, name))\n\ngraphics = s.results.graphics\ndescribe(\"GRAPHICS\", graphics)\nfor name in getattr(graphics, \"child_names\", []):\n    if \"path\" in name or \"stream\" in name:\n        describe(\"GRAPHICS_\" + name, getattr(graphics, name))\n\ns.file.write_case(\n    file_name=task_directory + r\"\\front_wing_mesh_and_interfaces.cas.h5\"\n)\nprint(\"DESIGN\", {\n    \"velocity\": 30.0,\n    \"span\": 1.2,\n    \"main_chord\": 0.32,\n    \"flap_chord\": 0.14,\n    \"main_angle\": 8.0,\n    \"flap_angle\": 20.0,\n    \"minimum_clearance\": 0.10,\n})\nprint(\"STAGE\", \"mesh_and_native_interface_readback\")"}}, "error": "{\"status\": \"error\", \"stdout\": \"\", \"stderr\": \"\\nTraceback (most recent call last):\\n  File \\\"ansys\\\\fluent\\\\mcp\\\\solve\\\\backends\\\\pyfluent.py\\\", line 2793, in _do\\n    exec(  # noqa: S102  # nosec B102\\n  File \\\"<mcp>\\\", line 137, in <module>\\n  File \\\"automation.py\\\", line 84, in geometry_mesh\\n  File \\\"geometry.py\\\", line 34, in run_geometry\\nRuntimeError: 1500 nodes created - worst tet radius 1.19495 (nodes removed 0 0)\\nInfo    : It. 22000 - 22000 nodes created - worst tet radius 1.18649 (nodes removed 0 0)\\nInfo    : It. 22500 - 22500 nodes created - worst tet radius 1.17828 (nodes removed\n…中间日志已省略，完整日志保存在任务目录…\nnfo    : It. 37000 - 37000 nodes created - worst tet radius 1.03215 (nodes removed 0 0)\\nInfo    : It. 37500 - 37500 nodes created - worst tet radius 1.02835 (nodes removed 0 0)\\nInfo    : It. 38000 - 38000 nodes created - worst tet radius 1.02424 (nodes removed 0 0)\\nInfo    : It. 38500 - 38500 nodes created - worst tet radius 1.02006 (nodes removed 0 0)\\nInfo    : It. 39000 - 38999 nodes created - worst tet radius 1.0156 (nodes removed 0 1)\\nInfo    : It. 39500 - 39498 nodes created - worst tet radius 1.01198 (nodes removed 0 2)\\nInfo    : It. 40000 - 39998 nodes created - worst tet radius 1.00837 (nodes removed 0 2)\\nInfo    : It. 40500 - 40498 nodes created - worst tet radius 1.0046 (nodes removed 0 2)\\nInfo    : It. 41000 - 40998 nodes created - worst tet radius 1.00074 (nodes removed 0 2)\\nInfo    : 3D refinement terminated (72006 nodes total):\\nInfo    :  - 0 Delaunay cavities modified for star shapeness\\nInfo    :  - 2 nodes could not be inserted\\nInfo    :  - 354713 tetrahedra created in 3.91504 sec. (90602 tets/s)\\nInfo    : 2 node relocations\\nInfo    : Done meshing 3D (Wall 6.20603s, CPU 0.71875s)\\nInfo    : Optimizing mesh...\\nInfo    : Optimizing volume 1\\nInfo    : Optimization starts (volume = 11.5061) with worst = 0.00220309 / average = 0.742552:\\nInfo    : 0.00 < quality < 0.10 :       960 elements\\nInfo    : 0.10 < quality < 0.20 :      2509 elements\\nInfo    : 0.20 < quality < 0.30 :      4317 elements\\nInfo    : 0.30 < quality < 0.40 :      7694 elements\\nInfo    : 0.40 < quality < 0.50 :     14108 elements\\nInfo    : 0.50 < quality < 0.60 :     27465 elements\\nInfo    : 0.60 < quality < 0.70 :     51304 elements\\nInfo    : 0.70 < quality < 0.80 :     96886 elements\\nInfo    : 0.80 < quality < 0.90 :    103326 elements\\nInfo    : 0.90 < quality < 1.00 :     46144 elements\\nInfo    : 7525 edge swaps, 278 node relocations (volume = 11.5061): worst = 0.133329 / average = 0.754577 (Wall 0.167892s, CPU 0.0625s)\\nInfo    : 7616 edge swaps, 282 node relocations (volume = 11.5061): worst = 0.147867 / average = 0.754694 (Wall 0.20202s, CPU 0.0625s)\\nInfo    : 7620 edge swaps, 282 node relocations (volume = 11.5061): worst = 0.147867 / average = 0.7547 (Wall 0.234829s, CPU 0.0625s)\\nInfo    : No ill-shaped tets in the mesh :-)\\nInfo    : 0.00 < quality < 0.10 :         0 elements\\nInfo    : 0.10 < quality < 0.20 :         1 elements\\nInfo    : 0.20 < quality < 0.30 :        19 elements\\nInfo    : 0.30 < quality < 0.40 :      7625 elements\\nInfo    : 0.40 < quality < 0.50 :     13995 elements\\nInfo    : 0.50 < quality < 0.60 :     27796 elements\\nInfo    : 0.60 < quality < 0.70 :     51485 elements\\nInfo    : 0.70 < quality < 0.80 :     97343 elements\\nInfo    : 0.80 < quality < 0.90 :    104009 elements\\nInfo    : 0.90 < quality < 1.00 :     45880 elements\\nInfo    : Done optimizing mesh (Wall 0.627438s, CPU 0.109375s)\\nInfo    : 72166 nodes 411971 elements\\nTraceback (most recent call last):\\n  File \\\"desktop.py\\\", line 108, in <module>\\n  File \\\"desktop.py\\\", line 58, in main\\n  File \\\"geometry.py\\\", line 58, in worker_main\\n  File \\\"pipeline_mesh.py\\\", line 85, in export_volume\\nValueError: ������Ԫ��������1�C200000֮��\\nWING_CAD_SURFACES [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22]\\nGROUND_CAD_SURFACES [24]\\nREFINEMENT 0.008 0.04 0.15\\n\", \"error_code\": \"execution_error\", \"warnings\": []}", "note": "可能有部分操作已生效，请先检查实时状态，修复后继续。"}, {"action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142547-90d0a4\"\ns = solver.settings\n\ndef checked(label, result):\n    print(label, result)\n    if isinstance(result, dict):\n        if result.get(\"status\") in (\"error\", \"failed\", \"needs_review\"):\n            raise RuntimeError(str(result))\n        if result.get(\"error\") or result.get(\"errors\"):\n            raise RuntimeError(str(result))\n    return result\n\ndef describe(label, obj):\n    print(label + \"_ACTIVE\", obj.is_active())\n    children = getattr(obj, \"child_names\", [])\n    commands = getattr(obj, \"command_names\", [])\n    print(label + \"_CHILDREN\", children)\n    print(label + \"_COMMANDS\", commands)\n    print(label + \"_QUERIES\", getattr(obj, \"query_names\", []))\n    for name in commands:\n        command = getattr(obj, name)\n        print(label + \"_ARGUMENTS\", name, getattr(command, \"argument_names\", []))\n\nprint(\"CURRENT_MODEL_ACTIVE\", s.setup.models.is_active())\nif s.setup.models.is_active():\n    print(\"CURRENT_SOLVER\", s.setup.general.solver.get_state())\n    print(\"CURRENT_FLUID_ZONES\", s.setup.cell_zone_conditions.fluid.get_object_names())\n    s.file.write_case_data(\n        file_name=task_directory + r\"\\before_front_wing_mesh_repair.cas.h5\"\n    )\n\ncode = \"\"\"\ngmsh.model.add(\"front_wing\")\nocc = gmsh.model.occ\ndomain = occ.addBox(-1.0, 0.0, -1.2, 4.0, 1.2, 2.4)\nparts = []\nfor chord, x0, y0, angle in [\n    (0.32, 0.0, 0.15, 8.0),\n    (0.14, 0.30, 0.215, 20.0)\n]:\n    upper = []\n    lower = []\n    a = angle * math.pi / 180.0\n    for i in range(33):\n        u = 0.5 * (1.0 - math.cos(math.pi * i / 32))\n        t = 5.0 * 0.12 * chord * (\n            0.2969 * math.sqrt(u) - 0.1260 * u\n            - 0.3516 * u**2 + 0.2843 * u**3 - 0.1036 * u**4\n        )\n        if i == 0 or i == 32:\n            t = 0.0\n        for points, sign in [(upper, 1.0), (lower, -1.0)]:\n            x = x0 + chord * u * math.cos(a) - sign * t * math.sin(a)\n            y = y0 + chord * u * math.sin(a) + sign * t * math.cos(a)\n            points.append(occ.addPoint(x, y, -0.60))\n    top = occ.addSpline(upper)\n    bottom = occ.addSpline(\n        [upper[-1]] + lower[1:-1][::-1] + [upper[0]]\n    )\n    face = occ.addPlaneSurface([occ.addWire([top, bottom])])\n    extrusion = occ.extrude([(2, face)], 0.0, 0.0, 1.20)\n    for dim, tag in extrusion:\n        if dim == 3:\n            parts.append((dim, tag))\nfor z in [-0.608, 0.600]:\n    parts.append((3, occ.addBox(-0.02, 0.10, z, 0.50, 0.24, 0.008)))\nbody, mapping = occ.fuse([parts[0]], parts[1:])\nfluid, mapping = occ.cut([(3, domain)], body)\nocc.removeAllDuplicates()\nocc.synchronize()\nvolumes = [tag for dim, tag in gmsh.model.getEntities(3)]\nif len(volumes) != 1:\n    raise RuntimeError(\"Expected one connected fluid volume\")\ngmsh.model.addPhysicalGroup(3, volumes, name=\"fluid\")\ninlet = []\noutlet = []\nwalls = []\nwing_faces = []\nground_faces = []\nfor dim, tag in gmsh.model.getBoundary(\n    [(3, volumes[0])], oriented=False, recursive=False\n):\n    b = gmsh.model.getBoundingBox(dim, tag)\n    if abs(b[0] + 1.0) < 1e-6 and abs(b[3] + 1.0) < 1e-6:\n        inlet.append(tag)\n    elif abs(b[0] - 3.0) < 1e-6 and abs(b[3] - 3.0) < 1e-6:\n        outlet.append(tag)\n    else:\n        walls.append(tag)\n        if abs(b[1]) < 1e-6 and abs(b[4]) < 1e-6:\n            ground_faces.append(tag)\n        elif b[0] > -0.03 and b[3] < 0.49 and b[1] > 0.09:\n            if b[2] > -0.62 and b[5] < 0.62:\n                wing_faces.append(tag)\nif not inlet or not outlet or not wing_faces or not ground_faces:\n    raise RuntimeError(\"Boundary classification failed\")\nfor name, tags in [(\"inlet\", inlet), (\"outlet\", outlet), (\"walls\", walls)]:\n    gmsh.model.addPhysicalGroup(2, tags, name=name)\ndistance = gmsh.model.mesh.field.add(\"Distance\")\ngmsh.model.mesh.field.setNumbers(distance, \"FacesList\", wing_faces)\ngmsh.model.mesh.field.setNumber(distance, \"Sampling\", 40)\nnear = gmsh.model.mesh.field.add(\"Threshold\")\ngmsh.model.mesh.field.setNumber(near, \"InField\", distance)\ngmsh.model.mesh.field.setNumber(near, \"DistMin\", 0.008)\ngmsh.model.mesh.field.setNumber(near, \"DistMax\", 0.14)\nwake = gmsh.model.mesh.field.add(\"Box\")\nfor name, value in [\n    (\"XMin\", 0.25), (\"XMax\", 1.6),\n    (\"YMin\", 0.07), (\"YMax\", 0.45),\n    (\"ZMin\", -0.72), (\"ZMax\", 0.72), (\"Thickness\", 0.12)\n]:\n    gmsh.model.mesh.field.setNumber(wake, name, value)\nminimum = gmsh.model.mesh.field.add(\"Min\")\ngmsh.model.mesh.field.setNumbers(minimum, \"FieldsList\", [near, wake])\ngmsh.model.mesh.field.setAsBackgroundMesh(minimum)\nfor name, value in [\n    (\"Mesh.MeshSizeFromPoints\", 0),\n    (\"Mesh.MeshSizeFromCurvature\", 0),\n    (\"Mesh.MeshSizeExtendFromBoundary\", 0),\n    (\"Mesh.ElementOrder\", 1),\n    (\"Mesh.Algorithm3D\", 1),\n    (\"Mesh.Optimize\", 1)\n]:\n    gmsh.option.setNumber(name, value)\ngmsh.write(output_dir + \"/front-wing.step\")\naccepted = False\nfor attempt in range(4):\n    factor = 1.30 ** attempt\n    fine = 0.014 * factor\n    far = 0.20 * factor\n    trail = 0.060 * factor\n    gmsh.model.mesh.field.setNumber(near, \"SizeMin\", fine)\n    gmsh.model.mesh.field.setNumber(near, \"SizeMax\", far)\n    gmsh.model.mesh.field.setNumber(wake, \"VIn\", trail)\n    gmsh.model.mesh.field.setNumber(wake, \"VOut\", far)\n    gmsh.model.mesh.generate(3)\n    element_types, element_tags, node_tags = gmsh.model.mesh.getElements(3)\n    count = sum([len(tags) for tags in element_tags])\n    print(\"MESH_BUDGET\", attempt, count, fine, trail, far)\n    if count > 0 and count <= 180000:\n        accepted = True\n        break\n    gmsh.model.mesh.clear()\nif not accepted:\n    raise RuntimeError(\"Mesh budget exceeded after controlled coarsening\")\nprint(\"FINAL_VOLUME_CELLS\", count)\nprint(\"WING_CAD_SURFACES\", wing_faces)\nprint(\"GROUND_CAD_SURFACES\", ground_faces)\nprint(\"FINAL_LOCAL_SIZES\", fine, trail, far)\n\"\"\"\n\nmesh = checked(\n    \"REPAIRED_FRONT_WING_MESH\",\n    fluentagi.geometry_mesh(directory=task_directory, code=code),\n)\nif not isinstance(mesh, dict) or not mesh.get(\"mesh_file\"):\n    raise RuntimeError(\"Missing converted Fluent mesh\")\n\ns.file.read_mesh(file_name=mesh[\"mesh_file\"])\ns.mesh.check()\nif not s.setup.models.is_active():\n    raise RuntimeError(\"Loaded mesh model is inactive\")\n\ns.file.write_case(\n    file_name=task_directory + r\"\\front_wing_repaired_mesh.cas.h5\"\n)\n\nbc = s.setup.boundary_conditions\nfor label, container in [\n    (\"WALL_ZONES\", bc.wall),\n    (\"INLET_ZONES\", bc.velocity_inlet),\n    (\"OUTLET_ZONES\", bc.pressure_outlet),\n]:\n    print(label, container.get_object_names())\n\ndescribe(\"MESH\", s.mesh)\nfor name in getattr(s.mesh, \"child_names\", []):\n    if \"zone\" in name or \"modify\" in name:\n        describe(\"MESH_\" + name, getattr(s.mesh, name))\n\nfor name in bc.wall.get_object_names():\n    print(\"WALL_STATE\", name, bc.wall[name].get_state())\n    describe(\"WALL_MOMENTUM\", bc.wall[name].momentum)\n    break\n\nreports = s.solution.report_definitions\ndescribe(\"REPORT_DEFINITIONS\", reports)\nfor name in getattr(reports, \"child_names\", []):\n    if any(word in name for word in [\"force\", \"lift\", \"drag\"]):\n        describe(\"REPORT_\" + name, getattr(reports, name))\n\ngraphics = s.results.graphics\ndescribe(\"GRAPHICS\", graphics)\nfor name in getattr(graphics, \"child_names\", []):\n    if \"path\" in name or \"stream\" in name:\n        describe(\"GRAPHICS_\" + name, getattr(graphics, name))\n\nprint(\"DESIGN\", {\n    \"velocity\": 30.0,\n    \"span\": 1.2,\n    \"main_chord\": 0.32,\n    \"flap_chord\": 0.14,\n    \"main_angle\": 8.0,\n    \"flap_angle\": 20.0,\n    \"endplate_clearance\": 0.10,\n    \"maximum_volume_cells\": 180000,\n})\nprint(\"STAGE\", \"mesh_repair_and_native_interface_readback\")"}}, "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_MODEL_ACTIVE False\\nREPAIRED_FRONT_WING_MESH {'files': ['C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\cad-d1bc89e9\\\\\\\\fluent.msh', 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\cad-d1bc89e9\\\\\\\\front-wing.step'], 'log': 'lane, Frontal-Delaunay)\\\\nInfo    : Done meshing 2D (Wall 0.31698s, CPU 0s)\\\\nInfo    : Meshing 3D...\\\\nInfo    : 3D Meshing 1 volume with 1 connected component\\\\nInfo    : Tetrahedrizing 9647 nodes...\\\\nInfo    : Done tetrahedrizing 96\n…中间日志已省略，完整日志保存在任务目录…\nhear_condition', 'fsi_interface', 'periodic_displacement', 'periodic_imaginary_displacement', 'frequency', 'amplitude', 'nodal_diam', 'passage_number', 'fwd', 'aero', 'cmplx', 'norm', 'method', 'shear_stress', 'fslip', 'eslip', 'surface_tension_gradient', 'specified_shear', 'specularity_coeff', 'mom_accommodation_coeff']\\nWALL_MOMENTUM_COMMANDS []\\nWALL_MOMENTUM_QUERIES []\\nREPORT_DEFINITIONS_ACTIVE True\\nREPORT_DEFINITIONS_CHILDREN ['mesh', 'surface', 'volume', 'force', 'lift', 'drag', 'moment', 'time', 'flux', 'vbm', 'injection', 'user_defined', 'aeromechanics', 'icing', 'expression', 'single_valued_expression', 'custom']\\nREPORT_DEFINITIONS_COMMANDS ['compute', 'copy']\\nREPORT_DEFINITIONS_QUERIES []\\nREPORT_DEFINITIONS_ARGUMENTS compute ['report_defs']\\nREPORT_DEFINITIONS_ARGUMENTS copy ['copy_from', 'copy_to']\\nREPORT_force_ACTIVE True\\nREPORT_force_CHILDREN []\\nREPORT_force_COMMANDS ['delete', 'rename', 'list_1', 'list_properties_1', 'make_a_copy']\\nREPORT_force_QUERIES []\\nREPORT_force_ARGUMENTS delete ['name_list']\\nREPORT_force_ARGUMENTS rename ['new', 'old']\\nREPORT_force_ARGUMENTS list_1 []\\nREPORT_force_ARGUMENTS list_properties_1 ['object_name']\\nREPORT_force_ARGUMENTS make_a_copy ['from_', 'to']\\nREPORT_lift_ACTIVE True\\nREPORT_lift_CHILDREN []\\nREPORT_lift_COMMANDS ['delete', 'rename', 'list_1', 'list_properties_1', 'make_a_copy']\\nREPORT_lift_QUERIES []\\nREPORT_lift_ARGUMENTS delete ['name_list']\\nREPORT_lift_ARGUMENTS rename ['new', 'old']\\nREPORT_lift_ARGUMENTS list_1 []\\nREPORT_lift_ARGUMENTS list_properties_1 ['object_name']\\nREPORT_lift_ARGUMENTS make_a_copy ['from_', 'to']\\nREPORT_drag_ACTIVE True\\nREPORT_drag_CHILDREN []\\nREPORT_drag_COMMANDS ['delete', 'rename', 'list_1', 'list_properties_1', 'make_a_copy']\\nREPORT_drag_QUERIES []\\nREPORT_drag_ARGUMENTS delete ['name_list']\\nREPORT_drag_ARGUMENTS rename ['new', 'old']\\nREPORT_drag_ARGUMENTS list_1 []\\nREPORT_drag_ARGUMENTS list_properties_1 ['object_name']\\nREPORT_drag_ARGUMENTS make_a_copy ['from_', 'to']\\nGRAPHICS_ACTIVE True\\nGRAPHICS_CHILDREN ['mesh', 'contour', 'vector', 'pathline', 'particle_track', 'lic', 'olic', 'volumes', 'contours', 'particle_tracks', 'colors', 'lighting', 'picture', 'views', 'windows', 'raytracing_options', 'pulse', 'periodic_instancing']\\nGRAPHICS_COMMANDS []\\nGRAPHICS_QUERIES []\\nGRAPHICS_pathline_ACTIVE False\\nGRAPHICS_pathline_CHILDREN []\\nGRAPHICS_pathline_COMMANDS ['delete', 'rename', 'list_1', 'list_properties_1', 'make_a_copy', 'display', 'copy', 'add_to_graphics', 'clear_history']\\nGRAPHICS_pathline_QUERIES []\\nGRAPHICS_pathline_ARGUMENTS delete ['name_list']\\nGRAPHICS_pathline_ARGUMENTS rename ['new', 'old']\\nGRAPHICS_pathline_ARGUMENTS list_1 []\\nGRAPHICS_pathline_ARGUMENTS list_properties_1 ['object_name']\\nGRAPHICS_pathline_ARGUMENTS make_a_copy ['from_', 'to']\\nGRAPHICS_pathline_ARGUMENTS display ['object_name']\\nGRAPHICS_pathline_ARGUMENTS copy ['from_name', 'new_name']\\nGRAPHICS_pathline_ARGUMENTS add_to_graphics ['object_name']\\nGRAPHICS_pathline_ARGUMENTS clear_history ['object_name']\\nDESIGN {'velocity': 30.0, 'span': 1.2, 'main_chord': 0.32, 'flap_chord': 0.14, 'main_angle': 8.0, 'flap_angle': 20.0, 'endplate_clearance': 0.1, 'maximum_volume_cells': 180000}\\nSTAGE mesh_repair_and_native_interface_readback\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
【ChatGPT 回复】
ChatGPT 说：

网格修复已完成，本轮沿用已载入网格，集中读取壁面拆分和受力报告的实际字段，避免将地面与前翼一起计入升阻力。

<fluent_code>
```python
# Use the existing connected PyFluent variable solver.
task_directory = r"C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261018-142547-90d0a4"
s = solver.settings

if not s.setup.models.is_active():
    raise RuntimeError("当前网格未激活，停止操作以保留已有状态。")

print("SOLVER_STATE", s.setup.general.solver.get_state())

bc = s.setup.boundary_conditions
for label, container in [
    ("WALL_ZONES", bc.wall),
    ("INLET_ZONES", bc.velocity_inlet),
    ("OUTLET_ZONES", bc.pressure_outlet),
]:
    print(label, container.get_object_names())

def inspect_commands(label, obj):
    children = getattr(obj, "child_names", [])
    commands = getattr(obj, "command_names", [])
    queries = getattr(obj, "query_names", [])
    print(label + "_CHILDREN", children)
    print(label + "_COMMANDS", commands)
    print(label + "_QUERIES", queries)
    for name in commands + queries:
        if any(word in name for word in [
            "separate", "split", "zone", "list", "rename", "type", "merge"
        ]):
            item = getattr(obj, name)
            print(label + "_ARGUMENTS", name, getattr(item, "argument_names", []))

queue = [("MESH", s.mesh, 0)]
while queue:
    label, obj, depth = queue.pop(0)
    inspect_commands(label, obj)
    if depth < 3:
        for name in getattr(obj, "child_names", []):
            if any(word in name for word in [
                "zone", "modify", "separate", "split", "manage"
            ]):
                queue.append((label + "_" + name, getattr(obj, name), depth + 1))

for name in bc.wall.get_object_names():
    momentum = bc.wall[name].momentum
    print("WALL_MOMENTUM_STATE", name, momentum.get_state())
    for child_name in getattr(momentum, "child_names", []):
        if any(word in child_name for word in [
            "motion", "velocity", "speed", "direction", "shear"
        ]):
            child = getattr(momentum, child_name)
            print("WALL_FIELD_ACTIVE", name, child_name, child.is_active())
            if child.is_active():
                print("WALL_FIELD_STATE", name, child_name, child.get_state())
                print(
                    "WALL_FIELD_CHILDREN",
                    child_name,
                    getattr(child, "child_names", []),
                )
                if hasattr(child, "allowed_values"):
                    print("WALL_FIELD_OPTIONS", child_name, child.allowed_values())
    break

reports = s.solution.report_definitions
force_names = [
    "front_wing_drag_interface",
    "front_wing_lift_interface",
]
for name in force_names:
    if name not in reports.force.get_object_names():
        reports.force[name] = {}
    report = reports.force[name]
    print("FORCE_REPORT_STATE", name, report.get_state())
    print("FORCE_REPORT_CHILDREN", name, getattr(report, "child_names", []))
    for child_name in getattr(report, "child_names", []):
        child = getattr(report, child_name)
        if child.is_active() and hasattr(child, "allowed_values"):
            if any(word in child_name for word in ["zone", "type", "force"]):
                print("FORCE_REPORT_OPTIONS", child_name, child.allowed_values())

viscous = s.setup.models.viscous
print("VISCOUS_STATE", viscous.get_state())
print("VISCOUS_MODEL_OPTIONS", viscous.model.allowed_values())
print("VISCOUS_CHILDREN", getattr(viscous, "child_names", []))
print("RUN_CALCULATION_STATE", s.solution.run_calculation.get_state())

s.file.write_case(
    file_name=task_directory + r"\front_wing_boundary_force_interface.cas.h5"
)
print("STAGE", "boundary_separation_and_force_field_readback")
```
</fluent_code>

<final_answer>已返回的结果确认网格生成、转换及载入流程无报错。本脚本继续检查独立壁面分区、移动壁面和受力字段，不重新建网格、不初始化、不推进计算。当前尚无流线动画或升阻力结果，新增报告仅用于读取接口。</final_answer>

round-04
【发送给 ChatGPT】
You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout:

<fluent_code>

```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.
```

</fluent_code>

Put a newline before and after each tag and each fence. Put no prose, headings, units, or explanations inside the fenced Python block. Do not place ```python and Python statements on the same line. Keep the script under 280 lines. Use loops instead of repeating similar statements. Never truncate a string, parenthesis, or code fence; always close </fluent_code>.
Use the existing solver session and compatible PyFluent APIs. A completed conversation turn does not close the session. For continuation requests reuse the loaded mesh and solution, inspect relevant current settings, and continue from actual flow time. Never launch, disconnect, remesh or initialize merely because a new desktop task directory was created. Do not launch or close Fluent. Do not use Abaqus APIs. Use solver.settings APIs and the provided fluentagi adapters. Direct solver.tui, execute_tui and Scheme remain rejected; the trusted v242 adapters may internally use fixed official TUI commands/journals. For mesh display use solver.settings.results.graphics.mesh and graphics.views APIs. Do not return JSON tool plans. Do not invent mesh files or API names. Only operate on the requested case and task directory. Preserve existing results. For a repair, inspect partially applied state and write a complete corrected script, not a patch or a repeated broken script.
The web AI cannot read or modify host application source. Do not claim to have searched the host disk or request uploading FluentAGI source to run simulations. Use the verified runtime adapters. Define task_directory as the absolute Task directory below before calling adapters. For VOF surface tension use fluentagi.configure_surface_tension(directory=task_directory,coefficient=0.072,phase_a="phase-1",phase_b="phase-2"); coefficient is N/m, replace the example with the requested value. This v242/v252 surface-tension adapter preserves other phase pairs, enables the surface-tension model and reads back every coefficient. inspect_surface_tension(directory=task_directory) returns actual state. Fluent 2025 R2 is accepted for this surface-tension adapter; do not ask to downgrade to 2024. Other Lee/DPM adapters retain their own version restrictions. Never claim v252 execution was validated before reading actual results. Do not ask the user to edit the plugin or click GUI dialogs for this supported operation.
Mixture and VOF both support Lee evaporation-condensation in official Fluent 2024 R2, but this runtime has NOT validated a Mixture configuration adapter. Do not silently substitute VOF for a Mixture tutorial or claim equivalent results. audit_multiphase_interfaces() is a read-only native settings probe, without TUI, Scheme or case writes. The VOF adapter uses narrowly scoped prompt profiles; unsupported dimension/phase combinations are rejected rather than guessed. For three-phase boiling setup in Fluent 2024 R2, use fluentagi.configure_three_phase_materials(directory=task_directory, materials=["air", "water-liquid", "water-vapor"]) to create actual phase-1/2/3 domains and verify material assignments. For an existing three-phase model, fluentagi.assign_multiphase_materials(materials=[...], directory=task_directory) assigns materials without changing the phase count. Then call fluentagi.configure_evaporation_condensation(directory=task_directory, saturation_temperature=T_sat_K, evaporation_frequency=from_frequency_per_second, condensation_frequency=to_frequency_per_second, from_phase="phase-2", to_phase="phase-3"). Pass the user's specified temperature/frequencies; preserve their geometry, heating and calculation parameters. This verified v242 VOF Lee adapter enables energy, uses a fixed official TUI journal and verifies the phase pair, constant saturation temperature, both frequencies and Lee model by an independent case snapshot. It does not initialize or advance the simulation. Do not say this feature is unavailable because direct TUI is forbidden; use the adapter. fluentagi.inspect_phase_change(directory=task_directory) returns actual phases and mass transfer settings, refreshing a unique case snapshot. Do not replace existing unrelated mechanisms. This adapter supports one Lee mass transfer pair, not Eulerian wall boiling, semi-mechanistic wall boiling, pressure-dependent saturation tables or UDFs. Do not claim a complete validated boiling simulation from successful setup alone. initialize_air is a TWO-PHASE adapter; do not use it for three-phase cases. Use verified settings initialization and phase-aware patching only for requested new calculations.
The runtime provides fluentagi.assign_phase_materials(primary="air", secondary="water-liquid", directory=task_directory), fluentagi.inspect_phases(), and fluentagi.export_results(directory=task_directory, fields=["pressure", "velocity-magnitude"]). For requested animation of an already initialized transient solution use fluentagi.record_animation(directory=task_directory, field="velocity-magnitude", frames=10, steps_per_frame=1, max_iter_per_step=20); it advances the solution and creates PNG frames and GIF. Never initialize or advance an existing solution without the user requesting calculation. These are executable verified adapters, not prose instructions. Use the phase adapter when asked to assign materials; do not ask the user to click the phase dialog. Print returned results. For postprocessing use export_results and assess its errors; never claim missing images were saved. Only import math/json/itertools/functools/collections/dataclasses/typing; datetime/os/pathlib imports are unavailable. Check is_active() before querying model-dependent settings on an empty mesh.
For NEW planar geometry and meshing use mesh = fluentagi.build_planar(directory=task_directory, points=[[x,y],...], inlet_edges=[0], outlet_edges=[2], size=0.001). Coordinates and size are in METERS; polygon vertices ordered around its boundary; edge i joins point i to point (i+1)%N. This creates real STEP CAD and converts first-order triangular Gmsh cells into a genuine Fluent mesh with inlet/outlet/walls. Then solver.settings.file.read_mesh(file_name=mesh["mesh_file"]), solver.settings.mesh.check(), configure physics, initialize, iterate, and export_results. Save current case/data before replacing loaded geometry. Do not reuse a model from previous successful construction during a repair; use its mesh_file from feedback. For curved planar CAD, use fluentagi.geometry_mesh(directory=task_directory,code=gmsh_script_string); the worker has gmsh,math,output_dir already, no imports; create OCC geometry and physical line groups named inlet,outlet,walls, export STEP, generate first-order triangular or quadrilateral mesh(2). Returned mesh_file is Fluent format; gmsh-native.msh is NOT Fluent format. 3D modeling and volume mesh conversion are now implemented. fluentagi.build_volume(directory=task_directory, shape="box",length=0.1,width=0.02,height=0.02,size=0.005,mesh_type="tet") creates tetrahedra; mesh_type="hex" creates a structured all-hexahedron box. shape="cylinder",radius=0.01 supports tetrahedra with axis along +X. Inlet is X=0 and outlet X=length. fluentagi.build_extruded(directory=task_directory,points=[[x,y],...],inlet_edges=[0],outlet_edges=[2],depth=0.01,size=0.002,mesh_type="tet") extrudes a planar profile, naming lateral inlet/outlet faces; front/back faces are walls. mesh_type="hex-dominant" uses recombined extruded mesh and MAY include prisms: assess returned cell_types, never call mixed cells pure hex. geometry_mesh supports arbitrary OCC volumes (boolean unions/cuts), physical SURFACE groups inlet/outlet/walls, and mesh.generate(3), first-order tet/hex/prism/pyramid. Imported STEP is not currently supported by the restricted worker. build_planar mesh_type="quad" produces mapped pure quadrilaterals for valid four-sided rectangles; complex polygons can be quad/tri mixed. 2D uses triangles/quads, 3D uses tet/hex. The runtime starts or safely backs up its owned solver before switching dimension according to explicit user words. Do not request user-supplied 3D mesh for supported geometry. Save backups before replacing any loaded mesh. For 3D postprocessing create useful cut planes/isosurfaces using verified settings APIs; boundary-only contours are not an interior volume visualization. For an entire new analysis, carry out all stages rather than only inspection; collect real residual/convergence evidence and exports.
For water-air transient filling, call fluentagi.configure_water_air(directory=task_directory,velocity=0.05,time_step=0.001,gravity_y=-9.81,inlet="inlet",outlet="outlet"). This backs up and sets laminar VOF, materials, phase-aware inlet/outlet, gravity and timestep; does NOT initialize or erase existing solution. For requested NEW filling use fluentagi.initialize_air(directory=task_directory), which saves a backup, hybrid initializes and patches phase-2 volume fraction to zero across all fluid cell zones. Never initialize_air on existing results without an explicit restart request. Fluent v242 contour fields are phase-2-vof (water, only after confirming phase-2=water-liquid) and phase-1-vof (air); do not confuse them. Query real contour field.allowed_values for VOF fields. For 3D interior contours/animation use section=fluentagi.create_section(axis="z",position=depth/2), then export_results(...,surfaces=[section["surface"]]) or record_animation(...,surfaces=[section["surface"]]). A plane section is not full volumetric rendering; report it accurately. Frames are 2..60. Each frame after the first advances steps_per_frame real time steps; final time is initial time+(frames-1)*steps_per_frame*time_step. Do not claim the pipe fills if the simulated duration is too short. Normalize typos like "二维四面体" by explaining 2D triangular equivalent; if depth/3D was explicitly requested, use volume tools.
For UNSTEADY dust motion use the separate transient DPM adapters, never track_particles (steady replay). build_dust_box(directory=task_directory) creates a 3D 40mm box with a top cylindrical nozzle (axis Y, inlet at top blowing DOWN with positive normal inlet speed) and an upper side pressure vent. Save existing case before reading its mesh_file. geometry parameters are SI and can be passed as named arguments. Choose suitable air physics; configure a real pressure outlet, do not create a sealed box with uncompensated inflow. configure_transient_dust(directory=task_directory,region_min=[.012,.003,.012],region_max=[.028,.004,.028],counts=[2,2,2],release_time=.02,release_duration=.0005,total_mass=1e-8,diameter=[1e-5,5e-5]*4,density=2500,initial_velocity=[0,0,0],gravity=[0,-9.81,0],time_step=.004,wall_behavior="trap") enables actual unsteady air and one-way unsteady DPM. It creates one short native injection pulse for each seed; total_mass kg is distributed across weighted parcels. It accepts explicit points instead of a region. The entire release pulse must fit inside one physical dt. Does NOT initialize. For requested NEW cases only, initialize_transient_dust(directory=task_directory) refuses any existing valid solution. Then advance_transient_dust(directory=task_directory,until_time=.2,max_iter_per_step=200,residual_tolerance=.001) advances at most 60 actual steps per call, preferring an ABSOLUTE end time; read returned final_time and call again until target. Already reached until_time does not advance again. The small demonstration explicitly uses normalized residual tolerance .001; honor stricter user requirements and never silently relax them. The default adapter tolerance is 1e-5, which the coarse benchmark did NOT meet on its initial step. Failed per-step convergence/air mass balance/particle accounting stops with needs_review and a checkpoint; never claim success. read_transient_dust(directory=task_directory) reads actual current native particle positions, fates, masses and physical time without advancement. resume_transient_dust(directory=task_directory,checkpoint="latest-checkpoint.json") backs up current case, validates hashes, restores native Case/Data including particles, and verifies actual state; never initializes. read_transient_dust_results(directory=task_directory) reads saved files offline. On continuation reuse the ORIGINAL batch directory from execution feedback for read/resume/advance; do not create another configuration merely because the desktop has a new task directory. Native output remains with the original case, while preview PNG/GIF/CSV are mirrored into the current desktop task for real-time display. Every frame is a snapshot of native transient particles, not a steady trajectory interpolation. Report deposited/trapped, escaped, in-domain, incomplete, aborted and not-yet-released parcels and actual mass budget. Caption all runs "预先释放悬浮颗粒，非积尘再悬浮". Particle seeds/markers represent weighted parcels, not physical particle counts or true point size. Laminar transport shows resolved advection/settling; do not claim stochastic turbulent diffusion is modeled. No verified deposited-dust detachment/adhesion/UDF resuspension adapter exists. Never add an upward initial velocity and call it resuspension. Preserve steady DPM as a distinct path.
For EXPLICITLY STEADY dilute solid dust ONLY use the verified v242 one-way STEADY DPM adapters, not VOF. First inspect_dpm(). On a single-phase carrier first create_dust_injection with the required density (default 2500 kg/m3) to activate actual inert materials, THEN configure_dpm(directory=task_directory,density=2500,material="agi-dust",max_steps=10000) verifies the inert material density and sets tracking limit; never use solid CAD material. The v242 inert material container has an unreliable active flag/get_state; adapters enumerate named material children and read those real states instead. Never query the entire inert material container. create_dust_injection(directory=task_directory,name="dust",start=[0.00001,0.003,0.01],end=[0.00001,0.017,0.01],streams=12,diameter=0.00005,mass_flow=0.0000001,velocity=[0.5,0,0],material="agi-dust") creates a real group injection. Replace positions with points just INSIDE the actual inlet; SI meters, diameter meters, mass_flow TOTAL kg/s (adapter divides over streams). streams=1 creates a single injection; group uses a release line between start/end. Do not use surface injection; its v242 settings readback failed validation. set_particle_boundaries(directory=task_directory,boundaries={"inlet":"escape","outlet":"escape","walls":"trap"}) also supports reflect with existing restitution settings; always inspect readback. Never silently change an existing multiphase or coupled DPM model. For a requested NEW analysis, configure and solve the AIR carrier first (laminar only for suitable low Reynolds), then track_particles(directory=task_directory,injections=["dust"],frames=30). This tracks native DPM trajectories, exports tracks.csv/json, native summary text, statistics and PNG/GIF. It does NOT initialize or advance the carrier. Animation is a residence-time replay of native STEADY particle tracks with simultaneous release, not a transient fluid/DPM calculation. Never use air pathlines or a continuous-phase contour as dust motion. Returned counts refer to particle streams, not physical dust counts; rates use reported mass flow. Report incomplete/aborted streams, mass/count balance and carrier convergence separately. A successful track/image is not validated collection efficiency; require mesh/physics validation for engineering conclusions. Preserve results; use a new injection name if its parameters change.
End with <final_answer>Chinese explanation of the intended changes, without claiming execution success</final_answer>.
If essential input or an incompatible session prevents a valid script, return only <question>the specific missing input in Chinese</question>.
After the desktop returns execution results, either provide a corrected script or return only <final_answer>a Chinese assessment supported by those results</final_answer>. Do not execute the same successful script again. Successful execution alone does not prove convergence.

Previous conversation and execution context (reference only; do not repeat successful scripts):
[{"user": "自己设计一个。赛车的前翼包括挡板和翼子板的和这个。这个主襟翼啊，然后设置流程网格加密智能的去看一下它的这个流线，动画，升力，阻力等。"}, {"assistant": "准备设计带双侧端板、主翼和襟翼的三维赛车前翼。请提供来流速度、前翼总宽和离地高度；如果只做演示，是否采用来流速度30 m/s、总宽1.2 m、离地高度0.1 m，并使用移动地面？这些参数会直接影响网格加密、流线动画及升阻力计算。", "run_directory": "C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142319-598cbb"}, {"user": "好的"}, {"assistant": "已确认采用30 m/s来流、1.2 m总宽、0.1 m离地高度和移动地面。但当前几何适配器仅声明支持 inlet、outlet、walls 三类边界，尚未确认能将前翼、地面和远场分别分组；这关系到移动地面设置及单独统计前翼升阻力。能否提供运行端支持独立壁面分组的能力反馈？否则无法可靠生成满足这些要求的完整脚本。", "run_directory": "C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142517-f253e1"}, {"user": "所有参数都是你来设计。"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_MODEL_ACTIVE False\\nREPAIRED_FRONT_WING_MESH {'files': ['C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\cad-d1bc89e9\\\\\\\\fluent.msh', 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\cad-d1bc89e9\\\\\\\\front-wing.step'], 'log': 'lane, Frontal-Delaunay)\\\\nInfo    : Done meshing 2D (Wall 0.31698s, CPU 0s)\\\\nInfo    : Meshing 3D...\\\\nInfo    : 3D Meshing 1 vol\n…中间日志已省略，完整日志保存在任务目录…\nS list_1 []\\nREPORT_drag_ARGUMENTS list_properties_1 ['object_name']\\nREPORT_drag_ARGUMENTS make_a_copy ['from_', 'to']\\nGRAPHICS_ACTIVE True\\nGRAPHICS_CHILDREN ['mesh', 'contour', 'vector', 'pathline', 'particle_track', 'lic', 'olic', 'volumes', 'contours', 'particle_tracks', 'colors', 'lighting', 'picture', 'views', 'windows', 'raytracing_options', 'pulse', 'periodic_instancing']\\nGRAPHICS_COMMANDS []\\nGRAPHICS_QUERIES []\\nGRAPHICS_pathline_ACTIVE False\\nGRAPHICS_pathline_CHILDREN []\\nGRAPHICS_pathline_COMMANDS ['delete', 'rename', 'list_1', 'list_properties_1', 'make_a_copy', 'display', 'copy', 'add_to_graphics', 'clear_history']\\nGRAPHICS_pathline_QUERIES []\\nGRAPHICS_pathline_ARGUMENTS delete ['name_list']\\nGRAPHICS_pathline_ARGUMENTS rename ['new', 'old']\\nGRAPHICS_pathline_ARGUMENTS list_1 []\\nGRAPHICS_pathline_ARGUMENTS list_properties_1 ['object_name']\\nGRAPHICS_pathline_ARGUMENTS make_a_copy ['from_', 'to']\\nGRAPHICS_pathline_ARGUMENTS display ['object_name']\\nGRAPHICS_pathline_ARGUMENTS copy ['from_name', 'new_name']\\nGRAPHICS_pathline_ARGUMENTS add_to_graphics ['object_name']\\nGRAPHICS_pathline_ARGUMENTS clear_history ['object_name']\\nDESIGN {'velocity': 30.0, 'span': 1.2, 'main_chord': 0.32, 'flap_chord': 0.14, 'main_angle': 8.0, 'flap_angle': 20.0, 'endplate_clearance': 0.1, 'maximum_volume_cells': 180000}\\nSTAGE mesh_repair_and_native_interface_readback\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"SOLVER_STATE {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'steady'}\\nWALL_ZONES ['walls']\\nINLET_ZONES ['inlet']\\nOUTLET_ZONES ['outlet']\\nMESH_CHILDREN ['adapt', 'anisotropic_adaption', 'check_before_solve', 'check_verbosity', 'enhanced_orthogonal_quality', 'matching_tolerance', 'modify_zones', 'show_periodic_shadow_zones', 'reorder', 'repair_improve', 'surface_mesh', 'polyhedra', 'wall_distance_method']\\nMESH_COMMANDS ['adjacency', 'c\n…中间日志已省略，完整日志保存在任务目录…\n-kl-w', 'transition-sst', 'reynolds-stress', 'scale-adaptive-simulation', 'detached-eddy-simulation', 'large-eddy-simulation']\\nVISCOUS_CHILDREN ['model', 'spalart_allmaras_production', 'k_epsilon_model', 'k_omega_model', 'k_omega_options', 'geko_options', 'rng_options', 'near_wall_treatment', 'reynolds_stress_model', 'subgrid_scale_model', 'les_model_options', 'reynolds_stress_options', 'rans_model', 'des_options', 'transition_module', 'hybrid_rans_les', 'sbes_options', 'user_defined_transition', 'options', 'multiphase_turbulence', 'turbulence_expert', 'transition_model_options', 'transition_sst_option', 'user_defined', 'sa_enhanced_wall_treatment', 'sa_damping']\\nRUN_CALCULATION_STATE {'pseudo_time_settings': {'verbosity': 0, 'time_step_method': {'time_step_method': 'automatic', 'length_scale_methods': 'conservative', 'time_step_size_scale_factor': 1.0}}, 'iter_count': 0, 'reporting_interval': 1, 'profile_update_interval': 1, 'data_sampling': {'enabled': False}}\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_boundary_force_interface.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,     4 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE boundary_separation_and_force_field_readback\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
Runtime capabilities:
{"protocol": "FluentAGI-capabilities-v1", "session": {"connected": true, "mode": "launch"}, "geometry": {"worker": "gmsh isolated process", "imports": [], "builtins": ["range", "len", "int", "float", "str", "list", "tuple", "enumerate", "zip", "min", "max", "abs", "round", "RuntimeError", "ValueError", "print", "set", "sum", "sorted", "bool", "all", "any"], "physical_groups": ["inlet", "outlet", "walls"], "cell_types": ["triangle", "quadrilateral", "tetrahedron", "hexahedron", "prism", "pyramid"]}, "script": {"imports": ["math", "json", "itertools", "functools", "collections", "dataclasses", "typing"], "adapters": ["build_dust_box", "configure_transient_dust", "initialize_transient_dust", "read_transient_dust", "advance_transient_dust", "resume_transient_dust", "read_transient_dust_results", "inspect_dpm", "configure_dpm", "create_dust_injection", "set_particle_boundaries", "track_particles", "build_planar", "build_volume", "build_extruded", "geometry_mesh", "configure_water_air", "initialize_air", "record_animation", "export_results", "assign_phase_materials", "assign_multiphase_materials", "configure_three_phase_materials", "audit_multiphase_interfaces", "configure_evaporation_condensation", "inspect_phase_change", "configure_surface_tension", "inspect_surface_tension"]}, "generated_at": 1792304747.7744308, "phase_change": {"version": "v242", "model": "Lee", "adapter_multiphase_models": ["vof"], "mixture_officially_available": true, "mixture_adapter_validated": false, "two_phase_2d_correction_runtime_validation": "pending", "automatic_model_switch": false, "phases": [2, 3], "saturation": "constant K", "frequencies": "positive finite 1/s", "mass_transfer_pairs": 1, "internal_official_tui": true, "generated_direct_tui": false, "readback": "unique case snapshot", "initializes": false}, "surface_tension": {"version": "v242/v252", "runtime_validation": {"v242": "previous native validation", "v252": "official command and generated SDK checked; customer runtime readback required"}, "model": "VOF", "coefficient": "nonnegative finite N/m", "preserves_other_pairs": true, "readback": "unique case snapshot", "initializes": false}, "transient_dpm": {"version": "v242", "model": "unsteady single-phase carrier + transient one-way inert DPM", "release": "one short native pulse per explicit point / region grid, max 64 weighted parcels", "chunk_steps": 60, "positions": "native current positions at actual physical time; never steady replay", "checkpoint": "unique Case/Data plus SHA256 and particle-state readback", "acceptance": "each-step residuals, native air mass flux, particle mass/count fate closure", "default_residual_tolerance": 1e-05, "benchmark_residual_tolerance": 0.001, "strict_1e_5_initial_step_validated": false, "resuspension_validated": false, "stochastic_turbulent_dispersion_validated": false}, "dpm": {"version": "v242", "carrier": "single phase, one-way, steady inert dust", "injection_types": ["single", "group"], "surface_injection_validated": false, "boundary_types": ["reflect", "trap", "escape"], "trajectory_source": "native GetParticleTracksField RPC", "animation": "steady DPM trajectory residence-time replay, no carrier advance", "transient_dpm_validated": false, "two_way_validated": false, "readback": true, "active": false}, "fluent_version": "Ansys Fluent 2024 R2", "model_active": false}
Current session:
{"connected": true, "dimension": 3, "mode": "solver", "owned": true, "continuation": true}
Task directory:
C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261018-142547-90d0a4
Current request:
所有参数都是你来设计。
Desktop execution feedback:
[{"action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142547-90d0a4\"\ns = solver.settings\n\ndef checked(label, result):\n    print(label, result)\n    if isinstance(result, dict):\n        if result.get(\"status\") in (\"error\", \"failed\", \"needs_review\"):\n            raise RuntimeError(str(result))\n        if result.get(\"error\") or result.get(\"errors\"):\n            raise RuntimeError(str(result))\n    return result\n\ndef describe(label, obj):\n    print(label + \"_ACTIVE\", obj.is_active())\n    children = getattr(obj, \"child_names\", [])\n    commands = getattr(obj, \"command_names\", [])\n    print(label + \"_CHILDREN\", children)\n    print(label + \"_COMMANDS\", commands)\n    print(label + \"_QUERIES\", getattr(obj, \"query_names\", []))\n    for name in commands:\n        command = getattr(obj, name)\n        print(label + \"_ARGUMENTS\", name, getattr(command, \"argument_names\", []))\n\nprint(\"CURRENT_MODEL_ACTIVE\", s.setup.models.is_active())\nif s.setup.models.is_active():\n    print(\"CURRENT_SOLVER\", s.setup.general.solver.get_state())\n    print(\"CURRENT_FLUID_ZONES\", s.setup.cell_zone_conditions.fluid.get_object_names())\n    s.file.write_case_data(\n        file_name=task_directory + r\"\\before_front_wing_mesh_repair.cas.h5\"\n    )\n\ncode = \"\"\"\ngmsh.model.add(\"front_wing\")\nocc = gmsh.model.occ\ndomain = occ.addBox(-1.0, 0.0, -1.2, 4.0, 1.2, 2.4)\nparts = []\nfor chord, x0, y0, angle in [\n    (0.32, 0.0, 0.15, 8.0),\n    (0.14, 0.30, 0.215, 20.0)\n]:\n    upper = []\n    lower = []\n    a = angle * math.pi / 180.0\n    for i in range(33):\n        u = 0.5 * (1.0 - math.cos(math.pi * i / 32))\n        t = 5.0 * 0.12 * chord * (\n            0.2969 * math.sqrt(u) - 0.1260 * u\n            - 0.3516 * u**2 + 0.2843 * u**3 - 0.1036 * u**4\n        )\n        if i == 0 or i == 32:\n            t = 0.0\n        for points, sign in [(upper, 1.0), (lower, -1.0)]:\n            x = x0 + chord * u * math.cos(a) - sign * t * math.sin(a)\n            y = y0 + chord * u * math.sin(a) + sign * t * math.cos(a)\n            points.append(occ.addPoint(x, y, -0.60))\n    top = occ.addSpline(upper)\n    bottom = occ.addSpline(\n        [upper[-1]] + lower[1:-1][::-1] + [upper[0]]\n    )\n    face = occ.addPlaneSurface([occ.addWire([top, bottom])])\n    extrusion = occ.extrude([(2, face)], 0.0, 0.0, 1.20)\n    for dim, tag in extrusion:\n        if dim == 3:\n            parts.append((dim, tag))\nfor z in [-0.608, 0.600]:\n    parts.append((3, occ.addBox(-0.02, 0.10, z, 0.50, 0.24, 0.008)))\nbody, mapping = occ.fuse([parts[0]], parts[1:])\nfluid, mapping = occ.cut([(3, domain)], body)\nocc.removeAllDuplicates()\nocc.synchronize()\nvolumes = [tag for dim, tag in gmsh.model.getEntities(3)]\nif len(volumes) != 1:\n    raise RuntimeError(\"Expected one connected fluid volume\")\ngmsh.model.addPhysicalGroup(3, volumes, name=\"fluid\")\ninlet = []\noutlet = []\nwalls = []\nwing_faces = []\nground_faces = []\nfor dim, tag in gmsh.model.getBoundary(\n    [(3, volumes[0])], oriented=False, recursive=False\n):\n    b = gmsh.model.getBoundingBox(dim, tag)\n    if abs(b[0] + 1.0) < 1e-6 and abs(b[3] + 1.0) < 1e-6:\n        inlet.append(tag)\n    elif abs(b[0] - 3.0) < 1e-6 and abs(b[3] - 3.0) < 1e-6:\n        outlet.append(tag)\n    else:\n        walls.append(tag)\n        if abs(b[1]) < 1e-6 and abs(b[4]) < 1e-6:\n            ground_faces.append(tag)\n        elif b[0] > -0.03 and b[3] < 0.49 and b[1] > 0.09:\n            if b[2] > -0.62 and b[5] < 0.62:\n                wing_faces.append(tag)\nif not inlet or not outlet or not wing_faces or not ground_faces:\n    raise RuntimeError(\"Boundary classification failed\")\nfor name, tags in [(\"inlet\", inlet), (\"outlet\", outlet), (\"walls\", walls)]:\n    gmsh.model.addPhysicalGroup(2, tags, name=name)\ndistance = gmsh.model.mesh.field.add(\"Distance\")\ngmsh.model.mesh.field.setNumbers(distance, \"FacesList\", wing_faces)\ngmsh.model.mesh.field.setNumber(distance, \"Sampling\", 40)\nnear = gmsh.model.mesh.field.add(\"Threshold\")\ngmsh.model.mesh.field.setNumber(near, \"InField\", distance)\ngmsh.model.mesh.field.setNumber(near, \"DistMin\", 0.008)\ngmsh.model.mesh.field.setNumber(near, \"DistMax\", 0.14)\nwake = gmsh.model.mesh.field.add(\"Box\")\nfor name, value in [\n    (\"XMin\", 0.25), (\"XMax\", 1.6),\n    (\"YMin\", 0.07), (\"YMax\", 0.45),\n    (\"ZMin\", -0.72), (\"ZMax\", 0.72), (\"Thickness\", 0.12)\n]:\n    gmsh.model.mesh.field.setNumber(wake, name, value)\nminimum = gmsh.model.mesh.field.add(\"Min\")\ngmsh.model.mesh.field.setNumbers(minimum, \"FieldsList\", [near, wake])\ngmsh.model.mesh.field.setAsBackgroundMesh(minimum)\nfor name, value in [\n    (\"Mesh.MeshSizeFromPoints\", 0),\n    (\"Mesh.MeshSizeFromCurvature\", 0),\n    (\"Mesh.MeshSizeExtendFromBoundary\", 0),\n    (\"Mesh.ElementOrder\", 1),\n    (\"Mesh.Algorithm3D\", 1),\n    (\"Mesh.Optimize\", 1)\n]:\n    gmsh.option.setNumber(name, value)\ngmsh.write(output_dir + \"/front-wing.step\")\naccepted = False\nfor attempt in range(4):\n    factor = 1.30 ** attempt\n    fine = 0.014 * factor\n    far = 0.20 * factor\n    trail = 0.060 * factor\n    gmsh.model.mesh.field.setNumber(near, \"SizeMin\", fine)\n    gmsh.model.mesh.field.setNumber(near, \"SizeMax\", far)\n    gmsh.model.mesh.field.setNumber(wake, \"VIn\", trail)\n    gmsh.model.mesh.field.setNumber(wake, \"VOut\", far)\n    gmsh.model.mesh.generate(3)\n    element_types, element_tags, node_tags = gmsh.model.mesh.getElements(3)\n    count = sum([len(tags) for tags in element_tags])\n    print(\"MESH_BUDGET\", attempt, count, fine, trail, far)\n    if count > 0 and count <= 180000:\n        accepted = True\n        break\n    gmsh.model.mesh.clear()\nif not accepted:\n    raise RuntimeError(\"Mesh budget exceeded after controlled coarsening\")\nprint(\"FINAL_VOLUME_CELLS\", count)\nprint(\"WING_CAD_SURFACES\", wing_faces)\nprint(\"GROUND_CAD_SURFACES\", ground_faces)\nprint(\"FINAL_LOCAL_SIZES\", fine, trail, far)\n\"\"\"\n\nmesh = checked(\n    \"REPAIRED_FRONT_WING_MESH\",\n    fluentagi.geometry_mesh(directory=task_directory, code=code),\n)\nif not isinstance(mesh, dict) or not mesh.get(\"mesh_file\"):\n    raise RuntimeError(\"Missing converted Fluent mesh\")\n\ns.file.read_mesh(file_name=mesh[\"mesh_file\"])\ns.mesh.check()\nif not s.setup.models.is_active():\n    raise RuntimeError(\"Loaded mesh model is inactive\")\n\ns.file.write_case(\n    file_name=task_directory + r\"\\front_wing_repaired_mesh.cas.h5\"\n)\n\nbc = s.setup.boundary_conditions\nfor label, container in [\n    (\"WALL_ZONES\", bc.wall),\n    (\"INLET_ZONES\", bc.velocity_inlet),\n    (\"OUTLET_ZONES\", bc.pressure_outlet),\n]:\n    print(label, container.get_object_names())\n\ndescribe(\"MESH\", s.mesh)\nfor name in getattr(s.mesh, \"child_names\", []):\n    if \"zone\" in name or \"modify\" in name:\n        describe(\"MESH_\" + name, getattr(s.mesh, name))\n\nfor name in bc.wall.get_object_names():\n    print(\"WALL_STATE\", name, bc.wall[name].get_state())\n    describe(\"WALL_MOMENTUM\", bc.wall[name].momentum)\n    break\n\nreports = s.solution.report_definitions\ndescribe(\"REPORT_DEFINITIONS\", reports)\nfor name in getattr(reports, \"child_names\", []):\n    if any(word in name for word in [\"force\", \"lift\", \"drag\"]):\n        describe(\"REPORT_\" + name, getattr(reports, name))\n\ngraphics = s.results.graphics\ndescribe(\"GRAPHICS\", graphics)\nfor name in getattr(graphics, \"child_names\", []):\n    if \"path\" in name or \"stream\" in name:\n        describe(\"GRAPHICS_\" + name, getattr(graphics, name))\n\nprint(\"DESIGN\", {\n    \"velocity\": 30.0,\n    \"span\": 1.2,\n    \"main_chord\": 0.32,\n    \"flap_chord\": 0.14,\n    \"main_angle\": 8.0,\n    \"flap_angle\": 20.0,\n    \"endplate_clearance\": 0.10,\n    \"maximum_volume_cells\": 180000,\n})\nprint(\"STAGE\", \"mesh_repair_and_native_interface_readback\")"}}, "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_MODEL_ACTIVE False\\nREPAIRED_FRONT_WING_MESH {'files': ['C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\cad-d1bc89e9\\\\\\\\fluent.msh', 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\cad-d1bc89e9\\\\\\\\front-wing.step'], 'log': 'lane, Frontal-Delaunay)\\\\nInfo    : Done meshing 2D (Wall 0.31698s, CPU 0s)\\\\nInfo    : Meshing 3D...\\\\nInfo    : 3D Meshing 1 volume with 1 connected component\\\\nInfo    : Tetrahedrizing 9647 nodes...\\\\nInfo    : Done tetrahedrizing 96\n…中间日志已省略，完整日志保存在任务目录…\nhear_condition', 'fsi_interface', 'periodic_displacement', 'periodic_imaginary_displacement', 'frequency', 'amplitude', 'nodal_diam', 'passage_number', 'fwd', 'aero', 'cmplx', 'norm', 'method', 'shear_stress', 'fslip', 'eslip', 'surface_tension_gradient', 'specified_shear', 'specularity_coeff', 'mom_accommodation_coeff']\\nWALL_MOMENTUM_COMMANDS []\\nWALL_MOMENTUM_QUERIES []\\nREPORT_DEFINITIONS_ACTIVE True\\nREPORT_DEFINITIONS_CHILDREN ['mesh', 'surface', 'volume', 'force', 'lift', 'drag', 'moment', 'time', 'flux', 'vbm', 'injection', 'user_defined', 'aeromechanics', 'icing', 'expression', 'single_valued_expression', 'custom']\\nREPORT_DEFINITIONS_COMMANDS ['compute', 'copy']\\nREPORT_DEFINITIONS_QUERIES []\\nREPORT_DEFINITIONS_ARGUMENTS compute ['report_defs']\\nREPORT_DEFINITIONS_ARGUMENTS copy ['copy_from', 'copy_to']\\nREPORT_force_ACTIVE True\\nREPORT_force_CHILDREN []\\nREPORT_force_COMMANDS ['delete', 'rename', 'list_1', 'list_properties_1', 'make_a_copy']\\nREPORT_force_QUERIES []\\nREPORT_force_ARGUMENTS delete ['name_list']\\nREPORT_force_ARGUMENTS rename ['new', 'old']\\nREPORT_force_ARGUMENTS list_1 []\\nREPORT_force_ARGUMENTS list_properties_1 ['object_name']\\nREPORT_force_ARGUMENTS make_a_copy ['from_', 'to']\\nREPORT_lift_ACTIVE True\\nREPORT_lift_CHILDREN []\\nREPORT_lift_COMMANDS ['delete', 'rename', 'list_1', 'list_properties_1', 'make_a_copy']\\nREPORT_lift_QUERIES []\\nREPORT_lift_ARGUMENTS delete ['name_list']\\nREPORT_lift_ARGUMENTS rename ['new', 'old']\\nREPORT_lift_ARGUMENTS list_1 []\\nREPORT_lift_ARGUMENTS list_properties_1 ['object_name']\\nREPORT_lift_ARGUMENTS make_a_copy ['from_', 'to']\\nREPORT_drag_ACTIVE True\\nREPORT_drag_CHILDREN []\\nREPORT_drag_COMMANDS ['delete', 'rename', 'list_1', 'list_properties_1', 'make_a_copy']\\nREPORT_drag_QUERIES []\\nREPORT_drag_ARGUMENTS delete ['name_list']\\nREPORT_drag_ARGUMENTS rename ['new', 'old']\\nREPORT_drag_ARGUMENTS list_1 []\\nREPORT_drag_ARGUMENTS list_properties_1 ['object_name']\\nREPORT_drag_ARGUMENTS make_a_copy ['from_', 'to']\\nGRAPHICS_ACTIVE True\\nGRAPHICS_CHILDREN ['mesh', 'contour', 'vector', 'pathline', 'particle_track', 'lic', 'olic', 'volumes', 'contours', 'particle_tracks', 'colors', 'lighting', 'picture', 'views', 'windows', 'raytracing_options', 'pulse', 'periodic_instancing']\\nGRAPHICS_COMMANDS []\\nGRAPHICS_QUERIES []\\nGRAPHICS_pathline_ACTIVE False\\nGRAPHICS_pathline_CHILDREN []\\nGRAPHICS_pathline_COMMANDS ['delete', 'rename', 'list_1', 'list_properties_1', 'make_a_copy', 'display', 'copy', 'add_to_graphics', 'clear_history']\\nGRAPHICS_pathline_QUERIES []\\nGRAPHICS_pathline_ARGUMENTS delete ['name_list']\\nGRAPHICS_pathline_ARGUMENTS rename ['new', 'old']\\nGRAPHICS_pathline_ARGUMENTS list_1 []\\nGRAPHICS_pathline_ARGUMENTS list_properties_1 ['object_name']\\nGRAPHICS_pathline_ARGUMENTS make_a_copy ['from_', 'to']\\nGRAPHICS_pathline_ARGUMENTS display ['object_name']\\nGRAPHICS_pathline_ARGUMENTS copy ['from_name', 'new_name']\\nGRAPHICS_pathline_ARGUMENTS add_to_graphics ['object_name']\\nGRAPHICS_pathline_ARGUMENTS clear_history ['object_name']\\nDESIGN {'velocity': 30.0, 'span': 1.2, 'main_chord': 0.32, 'flap_chord': 0.14, 'main_angle': 8.0, 'flap_angle': 20.0, 'endplate_clearance': 0.1, 'maximum_volume_cells': 180000}\\nSTAGE mesh_repair_and_native_interface_readback\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142547-90d0a4\"\ns = solver.settings\n\nif not s.setup.models.is_active():\n    raise RuntimeError(\"当前网格未激活，停止操作以保留已有状态。\")\n\nprint(\"SOLVER_STATE\", s.setup.general.solver.get_state())\n\nbc = s.setup.boundary_conditions\nfor label, container in [\n    (\"WALL_ZONES\", bc.wall),\n    (\"INLET_ZONES\", bc.velocity_inlet),\n    (\"OUTLET_ZONES\", bc.pressure_outlet),\n]:\n    print(label, container.get_object_names())\n\ndef inspect_commands(label, obj):\n    children = getattr(obj, \"child_names\", [])\n    commands = getattr(obj, \"command_names\", [])\n    queries = getattr(obj, \"query_names\", [])\n    print(label + \"_CHILDREN\", children)\n    print(label + \"_COMMANDS\", commands)\n    print(label + \"_QUERIES\", queries)\n    for name in commands + queries:\n        if any(word in name for word in [\n            \"separate\", \"split\", \"zone\", \"list\", \"rename\", \"type\", \"merge\"\n        ]):\n            item = getattr(obj, name)\n            print(label + \"_ARGUMENTS\", name, getattr(item, \"argument_names\", []))\n\nqueue = [(\"MESH\", s.mesh, 0)]\nwhile queue:\n    label, obj, depth = queue.pop(0)\n    inspect_commands(label, obj)\n    if depth < 3:\n        for name in getattr(obj, \"child_names\", []):\n            if any(word in name for word in [\n                \"zone\", \"modify\", \"separate\", \"split\", \"manage\"\n            ]):\n                queue.append((label + \"_\" + name, getattr(obj, name), depth + 1))\n\nfor name in bc.wall.get_object_names():\n    momentum = bc.wall[name].momentum\n    print(\"WALL_MOMENTUM_STATE\", name, momentum.get_state())\n    for child_name in getattr(momentum, \"child_names\", []):\n        if any(word in child_name for word in [\n            \"motion\", \"velocity\", \"speed\", \"direction\", \"shear\"\n        ]):\n            child = getattr(momentum, child_name)\n            print(\"WALL_FIELD_ACTIVE\", name, child_name, child.is_active())\n            if child.is_active():\n                print(\"WALL_FIELD_STATE\", name, child_name, child.get_state())\n                print(\n                    \"WALL_FIELD_CHILDREN\",\n                    child_name,\n                    getattr(child, \"child_names\", []),\n                )\n                if hasattr(child, \"allowed_values\"):\n                    print(\"WALL_FIELD_OPTIONS\", child_name, child.allowed_values())\n    break\n\nreports = s.solution.report_definitions\nforce_names = [\n    \"front_wing_drag_interface\",\n    \"front_wing_lift_interface\",\n]\nfor name in force_names:\n    if name not in reports.force.get_object_names():\n        reports.force[name] = {}\n    report = reports.force[name]\n    print(\"FORCE_REPORT_STATE\", name, report.get_state())\n    print(\"FORCE_REPORT_CHILDREN\", name, getattr(report, \"child_names\", []))\n    for child_name in getattr(report, \"child_names\", []):\n        child = getattr(report, child_name)\n        if child.is_active() and hasattr(child, \"allowed_values\"):\n            if any(word in child_name for word in [\"zone\", \"type\", \"force\"]):\n                print(\"FORCE_REPORT_OPTIONS\", child_name, child.allowed_values())\n\nviscous = s.setup.models.viscous\nprint(\"VISCOUS_STATE\", viscous.get_state())\nprint(\"VISCOUS_MODEL_OPTIONS\", viscous.model.allowed_values())\nprint(\"VISCOUS_CHILDREN\", getattr(viscous, \"child_names\", []))\nprint(\"RUN_CALCULATION_STATE\", s.solution.run_calculation.get_state())\n\ns.file.write_case(\n    file_name=task_directory + r\"\\front_wing_boundary_force_interface.cas.h5\"\n)\nprint(\"STAGE\", \"boundary_separation_and_force_field_readback\")"}}, "result": "{\"status\": \"ok\", \"stdout\": \"SOLVER_STATE {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'steady'}\\nWALL_ZONES ['walls']\\nINLET_ZONES ['inlet']\\nOUTLET_ZONES ['outlet']\\nMESH_CHILDREN ['adapt', 'anisotropic_adaption', 'check_before_solve', 'check_verbosity', 'enhanced_orthogonal_quality', 'matching_tolerance', 'modify_zones', 'show_periodic_shadow_zones', 'reorder', 'repair_improve', 'surface_mesh', 'polyhedra', 'wall_distance_method']\\nMESH_COMMANDS ['adjacency', 'check', 'memory_usage', 'mesh_info', 'quality', 'rotate', 'scale', 'size_info', 'redistribute_boundary_laye\n…中间日志已省略，完整日志保存在任务目录…\nlip\\nWALL_FIELD_CHILDREN shear_condition []\\nWALL_FIELD_OPTIONS shear_condition ['No Slip', 'Specified Shear']\\nWALL_FIELD_ACTIVE walls shear_stress False\\nWALL_FIELD_ACTIVE walls specified_shear False\\nFORCE_REPORT_STATE front_wing_drag_interface {'name': 'front_wing_drag_interface', 'force_vector': [1, 0, 0], 'reference_frame': 'global', 'zones': None, 'per_zone': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nFORCE_REPORT_CHILDREN front_wing_drag_interface ['name', 'report_type', 'force_vector', 'reference_frame', 'zones', 'per_zone', 'average_over', 'retain_instantaneous_values', 'report_output_type', 'physics', 'geometry', 'output_parameter']\\nFORCE_REPORT_OPTIONS zones ['walls']\\nFORCE_REPORT_STATE front_wing_lift_interface {'name': 'front_wing_lift_interface', 'force_vector': [1, 0, 0], 'reference_frame': 'global', 'zones': None, 'per_zone': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nFORCE_REPORT_CHILDREN front_wing_lift_interface ['name', 'report_type', 'force_vector', 'reference_frame', 'zones', 'per_zone', 'average_over', 'retain_instantaneous_values', 'report_output_type', 'physics', 'geometry', 'output_parameter']\\nFORCE_REPORT_OPTIONS zones ['walls']\\nVISCOUS_STATE {'model': 'k-omega', 'k_omega_model': 'sst', 'k_omega_options': {'kw_low_re_correction': False}, 'near_wall_treatment': {'wall_omega_treatment': 'correlation'}, 'transition_module': 'none', 'options': {'curvature_correction': False, 'corner_flow_correction': False, 'production_kato_launder_enabled': False, 'production_limiter': {'enabled': True, 'clip_factor': 10.0}}, 'turbulence_expert': {'turb_non_newtonian': False, 'restore_sst_v61': False}, 'user_defined': {'turb_visc_func': 'none'}}\\nVISCOUS_MODEL_OPTIONS ['inviscid', 'laminar', 'k-epsilon', 'k-omega', 'mixing-length', 'spalart-allmaras', 'k-kl-w', 'transition-sst', 'reynolds-stress', 'scale-adaptive-simulation', 'detached-eddy-simulation', 'large-eddy-simulation']\\nVISCOUS_CHILDREN ['model', 'spalart_allmaras_production', 'k_epsilon_model', 'k_omega_model', 'k_omega_options', 'geko_options', 'rng_options', 'near_wall_treatment', 'reynolds_stress_model', 'subgrid_scale_model', 'les_model_options', 'reynolds_stress_options', 'rans_model', 'des_options', 'transition_module', 'hybrid_rans_les', 'sbes_options', 'user_defined_transition', 'options', 'multiphase_turbulence', 'turbulence_expert', 'transition_model_options', 'transition_sst_option', 'user_defined', 'sa_enhanced_wall_treatment', 'sa_damping']\\nRUN_CALCULATION_STATE {'pseudo_time_settings': {'verbosity': 0, 'time_step_method': {'time_step_method': 'automatic', 'length_scale_methods': 'conservative', 'time_step_size_scale_factor': 1.0}}, 'iter_count': 0, 'reporting_interval': 1, 'profile_update_interval': 1, 'data_sampling': {'enabled': False}}\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_boundary_force_interface.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,     4 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE boundary_separation_and_force_field_readback\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
【ChatGPT 回复】
ChatGPT 说：

当前网格为68168个单元，前翼与外边界仍合并在同一个 walls 区域。上轮关键拆分接口被日志截断，本轮只输出必要参数，并修正受力报告方向，随后才能可靠设置移动地面及前翼受力统计。

<fluent_code>
```python
# Use the existing connected PyFluent variable solver.
task_directory = r"C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261018-142547-90d0a4"
s = solver.settings

if not s.setup.models.is_active():
    raise RuntimeError("当前网格未激活。")

bc = s.setup.boundary_conditions
print("WALL_ZONES", bc.wall.get_object_names())
print("ITERATION_COUNT", s.solution.run_calculation.iter_count.get_state())

modify = s.mesh.modify_zones
print("MODIFY_ZONE_CHILDREN", getattr(modify, "child_names", []))
commands = getattr(modify, "command_names", [])
print("SEPARATION_COMMAND_NAMES", [
    name for name in commands
    if any(word in name for word in ["sep", "split", "rename"])
])

for name in commands:
    if any(word in name for word in ["sep", "split", "rename"]):
        command = getattr(modify, name)
        arguments = getattr(command, "argument_names", [])
        print("SEPARATION_COMMAND", name, arguments)
        for argument_name in arguments:
            argument = getattr(command, argument_name)
            print(
                "SEPARATION_ARGUMENT",
                name,
                argument_name,
                getattr(argument, "child_names", []),
            )

for child_name in getattr(modify, "child_names", []):
    child = getattr(modify, child_name)
    for name in getattr(child, "command_names", []):
        if any(word in name for word in ["sep", "split", "rename"]):
            command = getattr(child, name)
            print(
                "NESTED_SEPARATION_COMMAND",
                child_name,
                name,
                getattr(command, "argument_names", []),
            )

reports = s.solution.report_definitions.force
for name, direction in [
    ("front_wing_drag_interface", [1.0, 0.0, 0.0]),
    ("front_wing_lift_interface", [0.0, 1.0, 0.0]),
]:
    if name not in reports.get_object_names():
        reports[name] = {}
    reports[name].force_vector = direction
    print("FORCE_DEFINITION", name, reports[name].get_state())

momentum = bc.wall["walls"].momentum if "walls" in bc.wall.get_object_names() else None
if momentum is not None:
    print("MOVING_WALL_FIELDS", [
        name for name in getattr(momentum, "child_names", [])
        if any(word in name for word in [
            "motion", "velocity", "speed", "direction"
        ])
    ])

s.file.write_case(
    file_name=task_directory + r"\front_wing_separation_arguments.cas.h5"
)
print("STAGE", "targeted_boundary_separation_arguments")
```
</fluent_code>

<final_answer>网格已经载入，但尚未初始化或求解。此脚本保留网格，将阻力方向设为正X、升力方向设为正Y，并集中读取边界拆分参数；不会把包含地面的整个 walls 区域当作前翼计算升阻力。</final_answer>

round-05
【发送给 ChatGPT】
You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout:

<fluent_code>

```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.
```

</fluent_code>

Put a newline before and after each tag and each fence. Put no prose, headings, units, or explanations inside the fenced Python block. Do not place ```python and Python statements on the same line. Keep the script under 280 lines. Use loops instead of repeating similar statements. Never truncate a string, parenthesis, or code fence; always close </fluent_code>.
Use the existing solver session and compatible PyFluent APIs. A completed conversation turn does not close the session. For continuation requests reuse the loaded mesh and solution, inspect relevant current settings, and continue from actual flow time. Never launch, disconnect, remesh or initialize merely because a new desktop task directory was created. Do not launch or close Fluent. Do not use Abaqus APIs. Use solver.settings APIs and the provided fluentagi adapters. Direct solver.tui, execute_tui and Scheme remain rejected; the trusted v242 adapters may internally use fixed official TUI commands/journals. For mesh display use solver.settings.results.graphics.mesh and graphics.views APIs. Do not return JSON tool plans. Do not invent mesh files or API names. Only operate on the requested case and task directory. Preserve existing results. For a repair, inspect partially applied state and write a complete corrected script, not a patch or a repeated broken script.
The web AI cannot read or modify host application source. Do not claim to have searched the host disk or request uploading FluentAGI source to run simulations. Use the verified runtime adapters. Define task_directory as the absolute Task directory below before calling adapters. For VOF surface tension use fluentagi.configure_surface_tension(directory=task_directory,coefficient=0.072,phase_a="phase-1",phase_b="phase-2"); coefficient is N/m, replace the example with the requested value. This v242/v252 surface-tension adapter preserves other phase pairs, enables the surface-tension model and reads back every coefficient. inspect_surface_tension(directory=task_directory) returns actual state. Fluent 2025 R2 is accepted for this surface-tension adapter; do not ask to downgrade to 2024. Other Lee/DPM adapters retain their own version restrictions. Never claim v252 execution was validated before reading actual results. Do not ask the user to edit the plugin or click GUI dialogs for this supported operation.
Mixture and VOF both support Lee evaporation-condensation in official Fluent 2024 R2, but this runtime has NOT validated a Mixture configuration adapter. Do not silently substitute VOF for a Mixture tutorial or claim equivalent results. audit_multiphase_interfaces() is a read-only native settings probe, without TUI, Scheme or case writes. The VOF adapter uses narrowly scoped prompt profiles; unsupported dimension/phase combinations are rejected rather than guessed. For three-phase boiling setup in Fluent 2024 R2, use fluentagi.configure_three_phase_materials(directory=task_directory, materials=["air", "water-liquid", "water-vapor"]) to create actual phase-1/2/3 domains and verify material assignments. For an existing three-phase model, fluentagi.assign_multiphase_materials(materials=[...], directory=task_directory) assigns materials without changing the phase count. Then call fluentagi.configure_evaporation_condensation(directory=task_directory, saturation_temperature=T_sat_K, evaporation_frequency=from_frequency_per_second, condensation_frequency=to_frequency_per_second, from_phase="phase-2", to_phase="phase-3"). Pass the user's specified temperature/frequencies; preserve their geometry, heating and calculation parameters. This verified v242 VOF Lee adapter enables energy, uses a fixed official TUI journal and verifies the phase pair, constant saturation temperature, both frequencies and Lee model by an independent case snapshot. It does not initialize or advance the simulation. Do not say this feature is unavailable because direct TUI is forbidden; use the adapter. fluentagi.inspect_phase_change(directory=task_directory) returns actual phases and mass transfer settings, refreshing a unique case snapshot. Do not replace existing unrelated mechanisms. This adapter supports one Lee mass transfer pair, not Eulerian wall boiling, semi-mechanistic wall boiling, pressure-dependent saturation tables or UDFs. Do not claim a complete validated boiling simulation from successful setup alone. initialize_air is a TWO-PHASE adapter; do not use it for three-phase cases. Use verified settings initialization and phase-aware patching only for requested new calculations.
The runtime provides fluentagi.assign_phase_materials(primary="air", secondary="water-liquid", directory=task_directory), fluentagi.inspect_phases(), and fluentagi.export_results(directory=task_directory, fields=["pressure", "velocity-magnitude"]). For requested animation of an already initialized transient solution use fluentagi.record_animation(directory=task_directory, field="velocity-magnitude", frames=10, steps_per_frame=1, max_iter_per_step=20); it advances the solution and creates PNG frames and GIF. Never initialize or advance an existing solution without the user requesting calculation. These are executable verified adapters, not prose instructions. Use the phase adapter when asked to assign materials; do not ask the user to click the phase dialog. Print returned results. For postprocessing use export_results and assess its errors; never claim missing images were saved. Only import math/json/itertools/functools/collections/dataclasses/typing; datetime/os/pathlib imports are unavailable. Check is_active() before querying model-dependent settings on an empty mesh.
For NEW planar geometry and meshing use mesh = fluentagi.build_planar(directory=task_directory, points=[[x,y],...], inlet_edges=[0], outlet_edges=[2], size=0.001). Coordinates and size are in METERS; polygon vertices ordered around its boundary; edge i joins point i to point (i+1)%N. This creates real STEP CAD and converts first-order triangular Gmsh cells into a genuine Fluent mesh with inlet/outlet/walls. Then solver.settings.file.read_mesh(file_name=mesh["mesh_file"]), solver.settings.mesh.check(), configure physics, initialize, iterate, and export_results. Save current case/data before replacing loaded geometry. Do not reuse a model from previous successful construction during a repair; use its mesh_file from feedback. For curved planar CAD, use fluentagi.geometry_mesh(directory=task_directory,code=gmsh_script_string); the worker has gmsh,math,output_dir already, no imports; create OCC geometry and physical line groups named inlet,outlet,walls, export STEP, generate first-order triangular or quadrilateral mesh(2). Returned mesh_file is Fluent format; gmsh-native.msh is NOT Fluent format. 3D modeling and volume mesh conversion are now implemented. fluentagi.build_volume(directory=task_directory, shape="box",length=0.1,width=0.02,height=0.02,size=0.005,mesh_type="tet") creates tetrahedra; mesh_type="hex" creates a structured all-hexahedron box. shape="cylinder",radius=0.01 supports tetrahedra with axis along +X. Inlet is X=0 and outlet X=length. fluentagi.build_extruded(directory=task_directory,points=[[x,y],...],inlet_edges=[0],outlet_edges=[2],depth=0.01,size=0.002,mesh_type="tet") extrudes a planar profile, naming lateral inlet/outlet faces; front/back faces are walls. mesh_type="hex-dominant" uses recombined extruded mesh and MAY include prisms: assess returned cell_types, never call mixed cells pure hex. geometry_mesh supports arbitrary OCC volumes (boolean unions/cuts), physical SURFACE groups inlet/outlet/walls, and mesh.generate(3), first-order tet/hex/prism/pyramid. Imported STEP is not currently supported by the restricted worker. build_planar mesh_type="quad" produces mapped pure quadrilaterals for valid four-sided rectangles; complex polygons can be quad/tri mixed. 2D uses triangles/quads, 3D uses tet/hex. The runtime starts or safely backs up its owned solver before switching dimension according to explicit user words. Do not request user-supplied 3D mesh for supported geometry. Save backups before replacing any loaded mesh. For 3D postprocessing create useful cut planes/isosurfaces using verified settings APIs; boundary-only contours are not an interior volume visualization. For an entire new analysis, carry out all stages rather than only inspection; collect real residual/convergence evidence and exports.
For water-air transient filling, call fluentagi.configure_water_air(directory=task_directory,velocity=0.05,time_step=0.001,gravity_y=-9.81,inlet="inlet",outlet="outlet"). This backs up and sets laminar VOF, materials, phase-aware inlet/outlet, gravity and timestep; does NOT initialize or erase existing solution. For requested NEW filling use fluentagi.initialize_air(directory=task_directory), which saves a backup, hybrid initializes and patches phase-2 volume fraction to zero across all fluid cell zones. Never initialize_air on existing results without an explicit restart request. Fluent v242 contour fields are phase-2-vof (water, only after confirming phase-2=water-liquid) and phase-1-vof (air); do not confuse them. Query real contour field.allowed_values for VOF fields. For 3D interior contours/animation use section=fluentagi.create_section(axis="z",position=depth/2), then export_results(...,surfaces=[section["surface"]]) or record_animation(...,surfaces=[section["surface"]]). A plane section is not full volumetric rendering; report it accurately. Frames are 2..60. Each frame after the first advances steps_per_frame real time steps; final time is initial time+(frames-1)*steps_per_frame*time_step. Do not claim the pipe fills if the simulated duration is too short. Normalize typos like "二维四面体" by explaining 2D triangular equivalent; if depth/3D was explicitly requested, use volume tools.
For UNSTEADY dust motion use the separate transient DPM adapters, never track_particles (steady replay). build_dust_box(directory=task_directory) creates a 3D 40mm box with a top cylindrical nozzle (axis Y, inlet at top blowing DOWN with positive normal inlet speed) and an upper side pressure vent. Save existing case before reading its mesh_file. geometry parameters are SI and can be passed as named arguments. Choose suitable air physics; configure a real pressure outlet, do not create a sealed box with uncompensated inflow. configure_transient_dust(directory=task_directory,region_min=[.012,.003,.012],region_max=[.028,.004,.028],counts=[2,2,2],release_time=.02,release_duration=.0005,total_mass=1e-8,diameter=[1e-5,5e-5]*4,density=2500,initial_velocity=[0,0,0],gravity=[0,-9.81,0],time_step=.004,wall_behavior="trap") enables actual unsteady air and one-way unsteady DPM. It creates one short native injection pulse for each seed; total_mass kg is distributed across weighted parcels. It accepts explicit points instead of a region. The entire release pulse must fit inside one physical dt. Does NOT initialize. For requested NEW cases only, initialize_transient_dust(directory=task_directory) refuses any existing valid solution. Then advance_transient_dust(directory=task_directory,until_time=.2,max_iter_per_step=200,residual_tolerance=.001) advances at most 60 actual steps per call, preferring an ABSOLUTE end time; read returned final_time and call again until target. Already reached until_time does not advance again. The small demonstration explicitly uses normalized residual tolerance .001; honor stricter user requirements and never silently relax them. The default adapter tolerance is 1e-5, which the coarse benchmark did NOT meet on its initial step. Failed per-step convergence/air mass balance/particle accounting stops with needs_review and a checkpoint; never claim success. read_transient_dust(directory=task_directory) reads actual current native particle positions, fates, masses and physical time without advancement. resume_transient_dust(directory=task_directory,checkpoint="latest-checkpoint.json") backs up current case, validates hashes, restores native Case/Data including particles, and verifies actual state; never initializes. read_transient_dust_results(directory=task_directory) reads saved files offline. On continuation reuse the ORIGINAL batch directory from execution feedback for read/resume/advance; do not create another configuration merely because the desktop has a new task directory. Native output remains with the original case, while preview PNG/GIF/CSV are mirrored into the current desktop task for real-time display. Every frame is a snapshot of native transient particles, not a steady trajectory interpolation. Report deposited/trapped, escaped, in-domain, incomplete, aborted and not-yet-released parcels and actual mass budget. Caption all runs "预先释放悬浮颗粒，非积尘再悬浮". Particle seeds/markers represent weighted parcels, not physical particle counts or true point size. Laminar transport shows resolved advection/settling; do not claim stochastic turbulent diffusion is modeled. No verified deposited-dust detachment/adhesion/UDF resuspension adapter exists. Never add an upward initial velocity and call it resuspension. Preserve steady DPM as a distinct path.
For EXPLICITLY STEADY dilute solid dust ONLY use the verified v242 one-way STEADY DPM adapters, not VOF. First inspect_dpm(). On a single-phase carrier first create_dust_injection with the required density (default 2500 kg/m3) to activate actual inert materials, THEN configure_dpm(directory=task_directory,density=2500,material="agi-dust",max_steps=10000) verifies the inert material density and sets tracking limit; never use solid CAD material. The v242 inert material container has an unreliable active flag/get_state; adapters enumerate named material children and read those real states instead. Never query the entire inert material container. create_dust_injection(directory=task_directory,name="dust",start=[0.00001,0.003,0.01],end=[0.00001,0.017,0.01],streams=12,diameter=0.00005,mass_flow=0.0000001,velocity=[0.5,0,0],material="agi-dust") creates a real group injection. Replace positions with points just INSIDE the actual inlet; SI meters, diameter meters, mass_flow TOTAL kg/s (adapter divides over streams). streams=1 creates a single injection; group uses a release line between start/end. Do not use surface injection; its v242 settings readback failed validation. set_particle_boundaries(directory=task_directory,boundaries={"inlet":"escape","outlet":"escape","walls":"trap"}) also supports reflect with existing restitution settings; always inspect readback. Never silently change an existing multiphase or coupled DPM model. For a requested NEW analysis, configure and solve the AIR carrier first (laminar only for suitable low Reynolds), then track_particles(directory=task_directory,injections=["dust"],frames=30). This tracks native DPM trajectories, exports tracks.csv/json, native summary text, statistics and PNG/GIF. It does NOT initialize or advance the carrier. Animation is a residence-time replay of native STEADY particle tracks with simultaneous release, not a transient fluid/DPM calculation. Never use air pathlines or a continuous-phase contour as dust motion. Returned counts refer to particle streams, not physical dust counts; rates use reported mass flow. Report incomplete/aborted streams, mass/count balance and carrier convergence separately. A successful track/image is not validated collection efficiency; require mesh/physics validation for engineering conclusions. Preserve results; use a new injection name if its parameters change.
End with <final_answer>Chinese explanation of the intended changes, without claiming execution success</final_answer>.
If essential input or an incompatible session prevents a valid script, return only <question>the specific missing input in Chinese</question>.
After the desktop returns execution results, either provide a corrected script or return only <final_answer>a Chinese assessment supported by those results</final_answer>. Do not execute the same successful script again. Successful execution alone does not prove convergence.

Previous conversation and execution context (reference only; do not repeat successful scripts):
[{"user": "自己设计一个。赛车的前翼包括挡板和翼子板的和这个。这个主襟翼啊，然后设置流程网格加密智能的去看一下它的这个流线，动画，升力，阻力等。"}, {"assistant": "准备设计带双侧端板、主翼和襟翼的三维赛车前翼。请提供来流速度、前翼总宽和离地高度；如果只做演示，是否采用来流速度30 m/s、总宽1.2 m、离地高度0.1 m，并使用移动地面？这些参数会直接影响网格加密、流线动画及升阻力计算。", "run_directory": "C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142319-598cbb"}, {"user": "好的"}, {"assistant": "已确认采用30 m/s来流、1.2 m总宽、0.1 m离地高度和移动地面。但当前几何适配器仅声明支持 inlet、outlet、walls 三类边界，尚未确认能将前翼、地面和远场分别分组；这关系到移动地面设置及单独统计前翼升阻力。能否提供运行端支持独立壁面分组的能力反馈？否则无法可靠生成满足这些要求的完整脚本。", "run_directory": "C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142517-f253e1"}, {"user": "所有参数都是你来设计。"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_MODEL_ACTIVE False\\nREPAIRED_FRONT_WING_MESH {'files': ['C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\cad-d1bc89e9\\\\\\\\fluent.msh', 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\cad-d1bc89e9\\\\\\\\front-wing.step'], 'log': 'lane, Frontal-Delaunay)\\\\nInfo    : Done meshing 2D (Wall 0.31698s, CPU 0s)\\\\nInfo    : Meshing 3D...\\\\nInfo    : 3D Meshing 1 vol\n…中间日志已省略，完整日志保存在任务目录…\nS list_1 []\\nREPORT_drag_ARGUMENTS list_properties_1 ['object_name']\\nREPORT_drag_ARGUMENTS make_a_copy ['from_', 'to']\\nGRAPHICS_ACTIVE True\\nGRAPHICS_CHILDREN ['mesh', 'contour', 'vector', 'pathline', 'particle_track', 'lic', 'olic', 'volumes', 'contours', 'particle_tracks', 'colors', 'lighting', 'picture', 'views', 'windows', 'raytracing_options', 'pulse', 'periodic_instancing']\\nGRAPHICS_COMMANDS []\\nGRAPHICS_QUERIES []\\nGRAPHICS_pathline_ACTIVE False\\nGRAPHICS_pathline_CHILDREN []\\nGRAPHICS_pathline_COMMANDS ['delete', 'rename', 'list_1', 'list_properties_1', 'make_a_copy', 'display', 'copy', 'add_to_graphics', 'clear_history']\\nGRAPHICS_pathline_QUERIES []\\nGRAPHICS_pathline_ARGUMENTS delete ['name_list']\\nGRAPHICS_pathline_ARGUMENTS rename ['new', 'old']\\nGRAPHICS_pathline_ARGUMENTS list_1 []\\nGRAPHICS_pathline_ARGUMENTS list_properties_1 ['object_name']\\nGRAPHICS_pathline_ARGUMENTS make_a_copy ['from_', 'to']\\nGRAPHICS_pathline_ARGUMENTS display ['object_name']\\nGRAPHICS_pathline_ARGUMENTS copy ['from_name', 'new_name']\\nGRAPHICS_pathline_ARGUMENTS add_to_graphics ['object_name']\\nGRAPHICS_pathline_ARGUMENTS clear_history ['object_name']\\nDESIGN {'velocity': 30.0, 'span': 1.2, 'main_chord': 0.32, 'flap_chord': 0.14, 'main_angle': 8.0, 'flap_angle': 20.0, 'endplate_clearance': 0.1, 'maximum_volume_cells': 180000}\\nSTAGE mesh_repair_and_native_interface_readback\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"SOLVER_STATE {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'steady'}\\nWALL_ZONES ['walls']\\nINLET_ZONES ['inlet']\\nOUTLET_ZONES ['outlet']\\nMESH_CHILDREN ['adapt', 'anisotropic_adaption', 'check_before_solve', 'check_verbosity', 'enhanced_orthogonal_quality', 'matching_tolerance', 'modify_zones', 'show_periodic_shadow_zones', 'reorder', 'repair_improve', 'surface_mesh', 'polyhedra', 'wall_distance_method']\\nMESH_COMMANDS ['adjacency', 'c\n…中间日志已省略，完整日志保存在任务目录…\n-kl-w', 'transition-sst', 'reynolds-stress', 'scale-adaptive-simulation', 'detached-eddy-simulation', 'large-eddy-simulation']\\nVISCOUS_CHILDREN ['model', 'spalart_allmaras_production', 'k_epsilon_model', 'k_omega_model', 'k_omega_options', 'geko_options', 'rng_options', 'near_wall_treatment', 'reynolds_stress_model', 'subgrid_scale_model', 'les_model_options', 'reynolds_stress_options', 'rans_model', 'des_options', 'transition_module', 'hybrid_rans_les', 'sbes_options', 'user_defined_transition', 'options', 'multiphase_turbulence', 'turbulence_expert', 'transition_model_options', 'transition_sst_option', 'user_defined', 'sa_enhanced_wall_treatment', 'sa_damping']\\nRUN_CALCULATION_STATE {'pseudo_time_settings': {'verbosity': 0, 'time_step_method': {'time_step_method': 'automatic', 'length_scale_methods': 'conservative', 'time_step_size_scale_factor': 1.0}}, 'iter_count': 0, 'reporting_interval': 1, 'profile_update_interval': 1, 'data_sampling': {'enabled': False}}\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_boundary_force_interface.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,     4 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE boundary_separation_and_force_field_readback\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"WALL_ZONES ['walls']\\nITERATION_COUNT 0\\nMODIFY_ZONE_CHILDREN []\\nSEPARATION_COMMAND_NAMES ['sep_cell_zone_mark', 'sep_cell_zone_region', 'sep_face_zone_angle', 'sep_face_zone_face', 'sep_face_zone_mark', 'sep_face_zone_region']\\nSEPARATION_COMMAND sep_cell_zone_mark ['cell_zone_name', 'register', 'move_faces']\\nSEPARATION_ARGUMENT sep_cell_zone_mark cell_zone_name []\\nSEPARATION_ARGUMENT sep_cell_zone_mark register []\\nSEPARATION_ARGUMENT sep_cell_zone_mark mov\n…中间日志已省略，完整日志保存在任务目录…\nGUMENT sep_face_zone_mark face_zone_name []\\nSEPARATION_ARGUMENT sep_face_zone_mark register_name []\\nSEPARATION_ARGUMENT sep_face_zone_mark move_faces []\\nSEPARATION_COMMAND sep_face_zone_region ['face_zone_name', 'move_faces']\\nSEPARATION_ARGUMENT sep_face_zone_region face_zone_name []\\nSEPARATION_ARGUMENT sep_face_zone_region move_faces []\\nFORCE_DEFINITION front_wing_drag_interface {'name': 'front_wing_drag_interface', 'force_vector': [1, 0, 0], 'reference_frame': 'global', 'zones': None, 'per_zone': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nFORCE_DEFINITION front_wing_lift_interface {'name': 'front_wing_lift_interface', 'force_vector': [0.0, 1.0, 0.0], 'reference_frame': 'global', 'zones': None, 'per_zone': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nMOVING_WALL_FIELDS ['wall_motion', 'speed', 'rotation_speed', 'rotation_axis_direction', 'direction', 'velocity_components']\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_separation_arguments.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,     4 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE targeted_boundary_separation_arguments\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
Runtime capabilities:
{"protocol": "FluentAGI-capabilities-v1", "session": {"connected": true, "mode": "launch"}, "geometry": {"worker": "gmsh isolated process", "imports": [], "builtins": ["range", "len", "int", "float", "str", "list", "tuple", "enumerate", "zip", "min", "max", "abs", "round", "RuntimeError", "ValueError", "print", "set", "sum", "sorted", "bool", "all", "any"], "physical_groups": ["inlet", "outlet", "walls"], "cell_types": ["triangle", "quadrilateral", "tetrahedron", "hexahedron", "prism", "pyramid"]}, "script": {"imports": ["math", "json", "itertools", "functools", "collections", "dataclasses", "typing"], "adapters": ["build_dust_box", "configure_transient_dust", "initialize_transient_dust", "read_transient_dust", "advance_transient_dust", "resume_transient_dust", "read_transient_dust_results", "inspect_dpm", "configure_dpm", "create_dust_injection", "set_particle_boundaries", "track_particles", "build_planar", "build_volume", "build_extruded", "geometry_mesh", "configure_water_air", "initialize_air", "record_animation", "export_results", "assign_phase_materials", "assign_multiphase_materials", "configure_three_phase_materials", "audit_multiphase_interfaces", "configure_evaporation_condensation", "inspect_phase_change", "configure_surface_tension", "inspect_surface_tension"]}, "generated_at": 1792304747.7744308, "phase_change": {"version": "v242", "model": "Lee", "adapter_multiphase_models": ["vof"], "mixture_officially_available": true, "mixture_adapter_validated": false, "two_phase_2d_correction_runtime_validation": "pending", "automatic_model_switch": false, "phases": [2, 3], "saturation": "constant K", "frequencies": "positive finite 1/s", "mass_transfer_pairs": 1, "internal_official_tui": true, "generated_direct_tui": false, "readback": "unique case snapshot", "initializes": false}, "surface_tension": {"version": "v242/v252", "runtime_validation": {"v242": "previous native validation", "v252": "official command and generated SDK checked; customer runtime readback required"}, "model": "VOF", "coefficient": "nonnegative finite N/m", "preserves_other_pairs": true, "readback": "unique case snapshot", "initializes": false}, "transient_dpm": {"version": "v242", "model": "unsteady single-phase carrier + transient one-way inert DPM", "release": "one short native pulse per explicit point / region grid, max 64 weighted parcels", "chunk_steps": 60, "positions": "native current positions at actual physical time; never steady replay", "checkpoint": "unique Case/Data plus SHA256 and particle-state readback", "acceptance": "each-step residuals, native air mass flux, particle mass/count fate closure", "default_residual_tolerance": 1e-05, "benchmark_residual_tolerance": 0.001, "strict_1e_5_initial_step_validated": false, "resuspension_validated": false, "stochastic_turbulent_dispersion_validated": false}, "dpm": {"version": "v242", "carrier": "single phase, one-way, steady inert dust", "injection_types": ["single", "group"], "surface_injection_validated": false, "boundary_types": ["reflect", "trap", "escape"], "trajectory_source": "native GetParticleTracksField RPC", "animation": "steady DPM trajectory residence-time replay, no carrier advance", "transient_dpm_validated": false, "two_way_validated": false, "readback": true, "active": false}, "fluent_version": "Ansys Fluent 2024 R2", "model_active": false}
Current session:
{"connected": true, "dimension": 3, "mode": "solver", "owned": true, "continuation": true}
Task directory:
C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261018-142547-90d0a4
Current request:
所有参数都是你来设计。
Desktop execution feedback:
[{"action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142547-90d0a4\"\ns = solver.settings\n\nif not s.setup.models.is_active():\n    raise RuntimeError(\"当前网格未激活，停止操作以保留已有状态。\")\n\nprint(\"SOLVER_STATE\", s.setup.general.solver.get_state())\n\nbc = s.setup.boundary_conditions\nfor label, container in [\n    (\"WALL_ZONES\", bc.wall),\n    (\"INLET_ZONES\", bc.velocity_inlet),\n    (\"OUTLET_ZONES\", bc.pressure_outlet),\n]:\n    print(label, container.get_object_names())\n\ndef inspect_commands(label, obj):\n    children = getattr(obj, \"child_names\", [])\n    commands = getattr(obj, \"command_names\", [])\n    queries = getattr(obj, \"query_names\", [])\n    print(label + \"_CHILDREN\", children)\n    print(label + \"_COMMANDS\", commands)\n    print(label + \"_QUERIES\", queries)\n    for name in commands + queries:\n        if any(word in name for word in [\n            \"separate\", \"split\", \"zone\", \"list\", \"rename\", \"type\", \"merge\"\n        ]):\n            item = getattr(obj, name)\n            print(label + \"_ARGUMENTS\", name, getattr(item, \"argument_names\", []))\n\nqueue = [(\"MESH\", s.mesh, 0)]\nwhile queue:\n    label, obj, depth = queue.pop(0)\n    inspect_commands(label, obj)\n    if depth < 3:\n        for name in getattr(obj, \"child_names\", []):\n            if any(word in name for word in [\n                \"zone\", \"modify\", \"separate\", \"split\", \"manage\"\n            ]):\n                queue.append((label + \"_\" + name, getattr(obj, name), depth + 1))\n\nfor name in bc.wall.get_object_names():\n    momentum = bc.wall[name].momentum\n    print(\"WALL_MOMENTUM_STATE\", name, momentum.get_state())\n    for child_name in getattr(momentum, \"child_names\", []):\n        if any(word in child_name for word in [\n            \"motion\", \"velocity\", \"speed\", \"direction\", \"shear\"\n        ]):\n            child = getattr(momentum, child_name)\n            print(\"WALL_FIELD_ACTIVE\", name, child_name, child.is_active())\n            if child.is_active():\n                print(\"WALL_FIELD_STATE\", name, child_name, child.get_state())\n                print(\n                    \"WALL_FIELD_CHILDREN\",\n                    child_name,\n                    getattr(child, \"child_names\", []),\n                )\n                if hasattr(child, \"allowed_values\"):\n                    print(\"WALL_FIELD_OPTIONS\", child_name, child.allowed_values())\n    break\n\nreports = s.solution.report_definitions\nforce_names = [\n    \"front_wing_drag_interface\",\n    \"front_wing_lift_interface\",\n]\nfor name in force_names:\n    if name not in reports.force.get_object_names():\n        reports.force[name] = {}\n    report = reports.force[name]\n    print(\"FORCE_REPORT_STATE\", name, report.get_state())\n    print(\"FORCE_REPORT_CHILDREN\", name, getattr(report, \"child_names\", []))\n    for child_name in getattr(report, \"child_names\", []):\n        child = getattr(report, child_name)\n        if child.is_active() and hasattr(child, \"allowed_values\"):\n            if any(word in child_name for word in [\"zone\", \"type\", \"force\"]):\n                print(\"FORCE_REPORT_OPTIONS\", child_name, child.allowed_values())\n\nviscous = s.setup.models.viscous\nprint(\"VISCOUS_STATE\", viscous.get_state())\nprint(\"VISCOUS_MODEL_OPTIONS\", viscous.model.allowed_values())\nprint(\"VISCOUS_CHILDREN\", getattr(viscous, \"child_names\", []))\nprint(\"RUN_CALCULATION_STATE\", s.solution.run_calculation.get_state())\n\ns.file.write_case(\n    file_name=task_directory + r\"\\front_wing_boundary_force_interface.cas.h5\"\n)\nprint(\"STAGE\", \"boundary_separation_and_force_field_readback\")"}}, "result": "{\"status\": \"ok\", \"stdout\": \"SOLVER_STATE {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'steady'}\\nWALL_ZONES ['walls']\\nINLET_ZONES ['inlet']\\nOUTLET_ZONES ['outlet']\\nMESH_CHILDREN ['adapt', 'anisotropic_adaption', 'check_before_solve', 'check_verbosity', 'enhanced_orthogonal_quality', 'matching_tolerance', 'modify_zones', 'show_periodic_shadow_zones', 'reorder', 'repair_improve', 'surface_mesh', 'polyhedra', 'wall_distance_method']\\nMESH_COMMANDS ['adjacency', 'check', 'memory_usage', 'mesh_info', 'quality', 'rotate', 'scale', 'size_info', 'redistribute_boundary_laye\n…中间日志已省略，完整日志保存在任务目录…\nlip\\nWALL_FIELD_CHILDREN shear_condition []\\nWALL_FIELD_OPTIONS shear_condition ['No Slip', 'Specified Shear']\\nWALL_FIELD_ACTIVE walls shear_stress False\\nWALL_FIELD_ACTIVE walls specified_shear False\\nFORCE_REPORT_STATE front_wing_drag_interface {'name': 'front_wing_drag_interface', 'force_vector': [1, 0, 0], 'reference_frame': 'global', 'zones': None, 'per_zone': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nFORCE_REPORT_CHILDREN front_wing_drag_interface ['name', 'report_type', 'force_vector', 'reference_frame', 'zones', 'per_zone', 'average_over', 'retain_instantaneous_values', 'report_output_type', 'physics', 'geometry', 'output_parameter']\\nFORCE_REPORT_OPTIONS zones ['walls']\\nFORCE_REPORT_STATE front_wing_lift_interface {'name': 'front_wing_lift_interface', 'force_vector': [1, 0, 0], 'reference_frame': 'global', 'zones': None, 'per_zone': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nFORCE_REPORT_CHILDREN front_wing_lift_interface ['name', 'report_type', 'force_vector', 'reference_frame', 'zones', 'per_zone', 'average_over', 'retain_instantaneous_values', 'report_output_type', 'physics', 'geometry', 'output_parameter']\\nFORCE_REPORT_OPTIONS zones ['walls']\\nVISCOUS_STATE {'model': 'k-omega', 'k_omega_model': 'sst', 'k_omega_options': {'kw_low_re_correction': False}, 'near_wall_treatment': {'wall_omega_treatment': 'correlation'}, 'transition_module': 'none', 'options': {'curvature_correction': False, 'corner_flow_correction': False, 'production_kato_launder_enabled': False, 'production_limiter': {'enabled': True, 'clip_factor': 10.0}}, 'turbulence_expert': {'turb_non_newtonian': False, 'restore_sst_v61': False}, 'user_defined': {'turb_visc_func': 'none'}}\\nVISCOUS_MODEL_OPTIONS ['inviscid', 'laminar', 'k-epsilon', 'k-omega', 'mixing-length', 'spalart-allmaras', 'k-kl-w', 'transition-sst', 'reynolds-stress', 'scale-adaptive-simulation', 'detached-eddy-simulation', 'large-eddy-simulation']\\nVISCOUS_CHILDREN ['model', 'spalart_allmaras_production', 'k_epsilon_model', 'k_omega_model', 'k_omega_options', 'geko_options', 'rng_options', 'near_wall_treatment', 'reynolds_stress_model', 'subgrid_scale_model', 'les_model_options', 'reynolds_stress_options', 'rans_model', 'des_options', 'transition_module', 'hybrid_rans_les', 'sbes_options', 'user_defined_transition', 'options', 'multiphase_turbulence', 'turbulence_expert', 'transition_model_options', 'transition_sst_option', 'user_defined', 'sa_enhanced_wall_treatment', 'sa_damping']\\nRUN_CALCULATION_STATE {'pseudo_time_settings': {'verbosity': 0, 'time_step_method': {'time_step_method': 'automatic', 'length_scale_methods': 'conservative', 'time_step_size_scale_factor': 1.0}}, 'iter_count': 0, 'reporting_interval': 1, 'profile_update_interval': 1, 'data_sampling': {'enabled': False}}\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_boundary_force_interface.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,     4 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE boundary_separation_and_force_field_readback\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142547-90d0a4\"\ns = solver.settings\n\nif not s.setup.models.is_active():\n    raise RuntimeError(\"当前网格未激活。\")\n\nbc = s.setup.boundary_conditions\nprint(\"WALL_ZONES\", bc.wall.get_object_names())\nprint(\"ITERATION_COUNT\", s.solution.run_calculation.iter_count.get_state())\n\nmodify = s.mesh.modify_zones\nprint(\"MODIFY_ZONE_CHILDREN\", getattr(modify, \"child_names\", []))\ncommands = getattr(modify, \"command_names\", [])\nprint(\"SEPARATION_COMMAND_NAMES\", [\n    name for name in commands\n    if any(word in name for word in [\"sep\", \"split\", \"rename\"])\n])\n\nfor name in commands:\n    if any(word in name for word in [\"sep\", \"split\", \"rename\"]):\n        command = getattr(modify, name)\n        arguments = getattr(command, \"argument_names\", [])\n        print(\"SEPARATION_COMMAND\", name, arguments)\n        for argument_name in arguments:\n            argument = getattr(command, argument_name)\n            print(\n                \"SEPARATION_ARGUMENT\",\n                name,\n                argument_name,\n                getattr(argument, \"child_names\", []),\n            )\n\nfor child_name in getattr(modify, \"child_names\", []):\n    child = getattr(modify, child_name)\n    for name in getattr(child, \"command_names\", []):\n        if any(word in name for word in [\"sep\", \"split\", \"rename\"]):\n            command = getattr(child, name)\n            print(\n                \"NESTED_SEPARATION_COMMAND\",\n                child_name,\n                name,\n                getattr(command, \"argument_names\", []),\n            )\n\nreports = s.solution.report_definitions.force\nfor name, direction in [\n    (\"front_wing_drag_interface\", [1.0, 0.0, 0.0]),\n    (\"front_wing_lift_interface\", [0.0, 1.0, 0.0]),\n]:\n    if name not in reports.get_object_names():\n        reports[name] = {}\n    reports[name].force_vector = direction\n    print(\"FORCE_DEFINITION\", name, reports[name].get_state())\n\nmomentum = bc.wall[\"walls\"].momentum if \"walls\" in bc.wall.get_object_names() else None\nif momentum is not None:\n    print(\"MOVING_WALL_FIELDS\", [\n        name for name in getattr(momentum, \"child_names\", [])\n        if any(word in name for word in [\n            \"motion\", \"velocity\", \"speed\", \"direction\"\n        ])\n    ])\n\ns.file.write_case(\n    file_name=task_directory + r\"\\front_wing_separation_arguments.cas.h5\"\n)\nprint(\"STAGE\", \"targeted_boundary_separation_arguments\")"}}, "result": "{\"status\": \"ok\", \"stdout\": \"WALL_ZONES ['walls']\\nITERATION_COUNT 0\\nMODIFY_ZONE_CHILDREN []\\nSEPARATION_COMMAND_NAMES ['sep_cell_zone_mark', 'sep_cell_zone_region', 'sep_face_zone_angle', 'sep_face_zone_face', 'sep_face_zone_mark', 'sep_face_zone_region']\\nSEPARATION_COMMAND sep_cell_zone_mark ['cell_zone_name', 'register', 'move_faces']\\nSEPARATION_ARGUMENT sep_cell_zone_mark cell_zone_name []\\nSEPARATION_ARGUMENT sep_cell_zone_mark register []\\nSEPARATION_ARGUMENT sep_cell_zone_mark move_faces []\\nSEPARATION_COMMAND sep_cell_zone_region ['cell_zone_name', 'move_cells']\\nSEPARATION_ARGUMENT sep_cell_zone_region cell_zone_name []\\nSEPARATION_ARGUMENT sep_cell_zone_region move_cells []\\nSEPARATION_COMMAND sep_face_zone_angle ['face_zone_name', 'angle', 'move_faces']\\nSEPARATION_ARGUMENT sep_face_zone_angle face_zone_name []\\nSEPARATION_ARGUMENT sep_face_zone_angle angle []\\nSEPARATION_ARGUMENT sep_face_zone_angle move_faces []\\nSEPARATION_COMMAND sep_face_zone_face ['face_zone_name', 'move_faces']\\nSEPARATION_ARGUMENT sep_face_zone_face face_zone_name []\\nSEPARATION_ARGUMENT sep_face_zone_face move_faces []\\nSEPARATION_COMMAND sep_face_zone_mark ['face_zone_name', 'register_name', 'move_faces']\\nSEPARATION_ARGUMENT sep_face_zone_mark face_zone_name []\\nSEPARATION_ARGUMENT sep_face_zone_mark register_name []\\nSEPARATION_ARGUMENT sep_face_zone_mark move_faces []\\nSEPARATION_COMMAND sep_face_zone_region ['face_zone_name', 'move_faces']\\nSEPARATION_ARGUMENT sep_face_zone_region face_zone_name []\\nSEPARATION_ARGUMENT sep_face_zone_region move_faces []\\nFORCE_DEFINITION front_wing_drag_interface {'name': 'front_wing_drag_interface', 'force_vector': [1, 0, 0], 'reference_frame': 'global', 'zones': None, 'per_zone': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nFORCE_DEFINITION front_wing_lift_interface {'name': 'front_wing_lift_interface', 'force_vector': [0.0, 1.0, 0.0], 'reference_frame': 'global', 'zones': None, 'per_zone': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nMOVING_WALL_FIELDS ['wall_motion', 'speed', 'rotation_speed', 'rotation_axis_direction', 'direction', 'velocity_components']\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_separation_arguments.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,     4 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE targeted_boundary_separation_arguments\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
【ChatGPT 回复】
ChatGPT 说：

已确认原生接口支持按连通区域和夹角拆分壁面。本轮直接拆分现有网格，设置30 m/s空气来流与SST模型，并读取分区坐标报告字段，以识别地面和前翼表面。

<fluent_code>
```python
# Use the existing connected PyFluent variable solver.
task_directory = r"C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261018-142547-90d0a4"
s = solver.settings

if not s.setup.models.is_active():
    raise RuntimeError("当前网格未激活。")

bc = s.setup.boundary_conditions
print("CURRENT_WALL_ZONES", bc.wall.get_object_names())
print("CURRENT_ITERATIONS", s.solution.run_calculation.iter_count.get_state())
print("CURRENT_MODELS", s.setup.models.viscous.get_state())

s.file.write_case(
    file_name=task_directory + r"\before_front_wing_wall_separation.cas.h5"
)

modify = s.mesh.modify_zones
wall_names = bc.wall.get_object_names()
if wall_names == ["walls"]:
    print(
        "REGION_SEPARATION",
        modify.sep_face_zone_region(
            face_zone_name="walls",
            move_faces=True,
        ),
    )
    region_names = bc.wall.get_object_names()
    print("CONNECTED_WALL_REGIONS", region_names)
    for name in region_names:
        print(
            "ANGLE_SEPARATION",
            name,
            modify.sep_face_zone_angle(
                face_zone_name=name,
                angle=45.0,
                move_faces=True,
            ),
        )
else:
    print("EXISTING_PARTITIONS_PRESERVED", wall_names)

print("SEPARATED_WALL_ZONES", bc.wall.get_object_names())
s.mesh.check()
s.file.write_case(
    file_name=task_directory + r"\front_wing_separated_walls.cas.h5"
)

s.setup.general.solver.type = "pressure-based"
s.setup.models.viscous.model = "k-omega"
s.setup.models.viscous.k_omega_model = "sst"
s.setup.models.energy.enabled = False
s.setup.general.operating_conditions.gravity.enable = False

materials = s.setup.materials
if "air" not in materials.fluid.get_object_names():
    materials.database.copy_by_name(type="fluid", name="air")
air = materials.fluid["air"]
for name, value in [
    ("density", 1.225),
    ("viscosity", 1.7894e-5),
]:
    getattr(air, name).set_state({"option": "constant", "value": value})

fluid_zones = s.setup.cell_zone_conditions.fluid
for name in fluid_zones.get_object_names():
    fluid_zones[name].general.material = "air"

inlet = bc.velocity_inlet["inlet"]
inlet.momentum.velocity.set_state({"option": "value", "value": 30.0})
outlet = bc.pressure_outlet["outlet"]
outlet.momentum.gauge_pressure.set_state({"option": "value", "value": 0.0})
print("INLET_TURBULENCE", inlet.turbulence.get_state())
print("INLET_TURBULENCE_FIELDS", getattr(inlet.turbulence, "child_names", []))
print("OUTLET_TURBULENCE", outlet.turbulence.get_state())

surface_reports = s.solution.report_definitions.surface
report_name = "front_wing_coordinate_interface"
if report_name not in surface_reports.get_object_names():
    surface_reports[report_name] = {}
report = surface_reports[report_name]
print("COORDINATE_REPORT_STATE", report.get_state())
print("COORDINATE_REPORT_FIELDS", getattr(report, "child_names", []))
for name in getattr(report, "child_names", []):
    child = getattr(report, name)
    if child.is_active() and hasattr(child, "allowed_values"):
        if name in ["report_type", "surface_names", "zones"]:
            print("COORDINATE_REPORT_OPTIONS", name, child.allowed_values())

wall_names = bc.wall.get_object_names()
if wall_names:
    momentum = bc.wall[wall_names[0]].momentum
    print("WALL_MOTION_OPTIONS", momentum.wall_motion.allowed_values())
    print("WALL_MOMENTUM_FIELDS", getattr(momentum, "child_names", []))

s.file.write_case(
    file_name=task_directory + r"\front_wing_partitioned_air_setup.cas.h5"
)
print("STAGE", "native_wall_partition_and_air_setup")
```
</fluent_code>

<final_answer>本脚本将实际执行壁面拆分并配置空气来流。拆分后的区域需要通过坐标识别，再分别设置移动地面和前翼受力范围；本轮不初始化、不求解，尚不能报告升阻力或动画结果。</final_answer>

round-06
【发送给 ChatGPT】
You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout:

<fluent_code>

```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.
```

</fluent_code>

Put a newline before and after each tag and each fence. Put no prose, headings, units, or explanations inside the fenced Python block. Do not place ```python and Python statements on the same line. Keep the script under 280 lines. Use loops instead of repeating similar statements. Never truncate a string, parenthesis, or code fence; always close </fluent_code>.
Use the existing solver session and compatible PyFluent APIs. A completed conversation turn does not close the session. For continuation requests reuse the loaded mesh and solution, inspect relevant current settings, and continue from actual flow time. Never launch, disconnect, remesh or initialize merely because a new desktop task directory was created. Do not launch or close Fluent. Do not use Abaqus APIs. Use solver.settings APIs and the provided fluentagi adapters. Direct solver.tui, execute_tui and Scheme remain rejected; the trusted v242 adapters may internally use fixed official TUI commands/journals. For mesh display use solver.settings.results.graphics.mesh and graphics.views APIs. Do not return JSON tool plans. Do not invent mesh files or API names. Only operate on the requested case and task directory. Preserve existing results. For a repair, inspect partially applied state and write a complete corrected script, not a patch or a repeated broken script.
The web AI cannot read or modify host application source. Do not claim to have searched the host disk or request uploading FluentAGI source to run simulations. Use the verified runtime adapters. Define task_directory as the absolute Task directory below before calling adapters. For VOF surface tension use fluentagi.configure_surface_tension(directory=task_directory,coefficient=0.072,phase_a="phase-1",phase_b="phase-2"); coefficient is N/m, replace the example with the requested value. This v242/v252 surface-tension adapter preserves other phase pairs, enables the surface-tension model and reads back every coefficient. inspect_surface_tension(directory=task_directory) returns actual state. Fluent 2025 R2 is accepted for this surface-tension adapter; do not ask to downgrade to 2024. Other Lee/DPM adapters retain their own version restrictions. Never claim v252 execution was validated before reading actual results. Do not ask the user to edit the plugin or click GUI dialogs for this supported operation.
Mixture and VOF both support Lee evaporation-condensation in official Fluent 2024 R2, but this runtime has NOT validated a Mixture configuration adapter. Do not silently substitute VOF for a Mixture tutorial or claim equivalent results. audit_multiphase_interfaces() is a read-only native settings probe, without TUI, Scheme or case writes. The VOF adapter uses narrowly scoped prompt profiles; unsupported dimension/phase combinations are rejected rather than guessed. For three-phase boiling setup in Fluent 2024 R2, use fluentagi.configure_three_phase_materials(directory=task_directory, materials=["air", "water-liquid", "water-vapor"]) to create actual phase-1/2/3 domains and verify material assignments. For an existing three-phase model, fluentagi.assign_multiphase_materials(materials=[...], directory=task_directory) assigns materials without changing the phase count. Then call fluentagi.configure_evaporation_condensation(directory=task_directory, saturation_temperature=T_sat_K, evaporation_frequency=from_frequency_per_second, condensation_frequency=to_frequency_per_second, from_phase="phase-2", to_phase="phase-3"). Pass the user's specified temperature/frequencies; preserve their geometry, heating and calculation parameters. This verified v242 VOF Lee adapter enables energy, uses a fixed official TUI journal and verifies the phase pair, constant saturation temperature, both frequencies and Lee model by an independent case snapshot. It does not initialize or advance the simulation. Do not say this feature is unavailable because direct TUI is forbidden; use the adapter. fluentagi.inspect_phase_change(directory=task_directory) returns actual phases and mass transfer settings, refreshing a unique case snapshot. Do not replace existing unrelated mechanisms. This adapter supports one Lee mass transfer pair, not Eulerian wall boiling, semi-mechanistic wall boiling, pressure-dependent saturation tables or UDFs. Do not claim a complete validated boiling simulation from successful setup alone. initialize_air is a TWO-PHASE adapter; do not use it for three-phase cases. Use verified settings initialization and phase-aware patching only for requested new calculations.
The runtime provides fluentagi.assign_phase_materials(primary="air", secondary="water-liquid", directory=task_directory), fluentagi.inspect_phases(), and fluentagi.export_results(directory=task_directory, fields=["pressure", "velocity-magnitude"]). For requested animation of an already initialized transient solution use fluentagi.record_animation(directory=task_directory, field="velocity-magnitude", frames=10, steps_per_frame=1, max_iter_per_step=20); it advances the solution and creates PNG frames and GIF. Never initialize or advance an existing solution without the user requesting calculation. These are executable verified adapters, not prose instructions. Use the phase adapter when asked to assign materials; do not ask the user to click the phase dialog. Print returned results. For postprocessing use export_results and assess its errors; never claim missing images were saved. Only import math/json/itertools/functools/collections/dataclasses/typing; datetime/os/pathlib imports are unavailable. Check is_active() before querying model-dependent settings on an empty mesh.
For NEW planar geometry and meshing use mesh = fluentagi.build_planar(directory=task_directory, points=[[x,y],...], inlet_edges=[0], outlet_edges=[2], size=0.001). Coordinates and size are in METERS; polygon vertices ordered around its boundary; edge i joins point i to point (i+1)%N. This creates real STEP CAD and converts first-order triangular Gmsh cells into a genuine Fluent mesh with inlet/outlet/walls. Then solver.settings.file.read_mesh(file_name=mesh["mesh_file"]), solver.settings.mesh.check(), configure physics, initialize, iterate, and export_results. Save current case/data before replacing loaded geometry. Do not reuse a model from previous successful construction during a repair; use its mesh_file from feedback. For curved planar CAD, use fluentagi.geometry_mesh(directory=task_directory,code=gmsh_script_string); the worker has gmsh,math,output_dir already, no imports; create OCC geometry and physical line groups named inlet,outlet,walls, export STEP, generate first-order triangular or quadrilateral mesh(2). Returned mesh_file is Fluent format; gmsh-native.msh is NOT Fluent format. 3D modeling and volume mesh conversion are now implemented. fluentagi.build_volume(directory=task_directory, shape="box",length=0.1,width=0.02,height=0.02,size=0.005,mesh_type="tet") creates tetrahedra; mesh_type="hex" creates a structured all-hexahedron box. shape="cylinder",radius=0.01 supports tetrahedra with axis along +X. Inlet is X=0 and outlet X=length. fluentagi.build_extruded(directory=task_directory,points=[[x,y],...],inlet_edges=[0],outlet_edges=[2],depth=0.01,size=0.002,mesh_type="tet") extrudes a planar profile, naming lateral inlet/outlet faces; front/back faces are walls. mesh_type="hex-dominant" uses recombined extruded mesh and MAY include prisms: assess returned cell_types, never call mixed cells pure hex. geometry_mesh supports arbitrary OCC volumes (boolean unions/cuts), physical SURFACE groups inlet/outlet/walls, and mesh.generate(3), first-order tet/hex/prism/pyramid. Imported STEP is not currently supported by the restricted worker. build_planar mesh_type="quad" produces mapped pure quadrilaterals for valid four-sided rectangles; complex polygons can be quad/tri mixed. 2D uses triangles/quads, 3D uses tet/hex. The runtime starts or safely backs up its owned solver before switching dimension according to explicit user words. Do not request user-supplied 3D mesh for supported geometry. Save backups before replacing any loaded mesh. For 3D postprocessing create useful cut planes/isosurfaces using verified settings APIs; boundary-only contours are not an interior volume visualization. For an entire new analysis, carry out all stages rather than only inspection; collect real residual/convergence evidence and exports.
For water-air transient filling, call fluentagi.configure_water_air(directory=task_directory,velocity=0.05,time_step=0.001,gravity_y=-9.81,inlet="inlet",outlet="outlet"). This backs up and sets laminar VOF, materials, phase-aware inlet/outlet, gravity and timestep; does NOT initialize or erase existing solution. For requested NEW filling use fluentagi.initialize_air(directory=task_directory), which saves a backup, hybrid initializes and patches phase-2 volume fraction to zero across all fluid cell zones. Never initialize_air on existing results without an explicit restart request. Fluent v242 contour fields are phase-2-vof (water, only after confirming phase-2=water-liquid) and phase-1-vof (air); do not confuse them. Query real contour field.allowed_values for VOF fields. For 3D interior contours/animation use section=fluentagi.create_section(axis="z",position=depth/2), then export_results(...,surfaces=[section["surface"]]) or record_animation(...,surfaces=[section["surface"]]). A plane section is not full volumetric rendering; report it accurately. Frames are 2..60. Each frame after the first advances steps_per_frame real time steps; final time is initial time+(frames-1)*steps_per_frame*time_step. Do not claim the pipe fills if the simulated duration is too short. Normalize typos like "二维四面体" by explaining 2D triangular equivalent; if depth/3D was explicitly requested, use volume tools.
For UNSTEADY dust motion use the separate transient DPM adapters, never track_particles (steady replay). build_dust_box(directory=task_directory) creates a 3D 40mm box with a top cylindrical nozzle (axis Y, inlet at top blowing DOWN with positive normal inlet speed) and an upper side pressure vent. Save existing case before reading its mesh_file. geometry parameters are SI and can be passed as named arguments. Choose suitable air physics; configure a real pressure outlet, do not create a sealed box with uncompensated inflow. configure_transient_dust(directory=task_directory,region_min=[.012,.003,.012],region_max=[.028,.004,.028],counts=[2,2,2],release_time=.02,release_duration=.0005,total_mass=1e-8,diameter=[1e-5,5e-5]*4,density=2500,initial_velocity=[0,0,0],gravity=[0,-9.81,0],time_step=.004,wall_behavior="trap") enables actual unsteady air and one-way unsteady DPM. It creates one short native injection pulse for each seed; total_mass kg is distributed across weighted parcels. It accepts explicit points instead of a region. The entire release pulse must fit inside one physical dt. Does NOT initialize. For requested NEW cases only, initialize_transient_dust(directory=task_directory) refuses any existing valid solution. Then advance_transient_dust(directory=task_directory,until_time=.2,max_iter_per_step=200,residual_tolerance=.001) advances at most 60 actual steps per call, preferring an ABSOLUTE end time; read returned final_time and call again until target. Already reached until_time does not advance again. The small demonstration explicitly uses normalized residual tolerance .001; honor stricter user requirements and never silently relax them. The default adapter tolerance is 1e-5, which the coarse benchmark did NOT meet on its initial step. Failed per-step convergence/air mass balance/particle accounting stops with needs_review and a checkpoint; never claim success. read_transient_dust(directory=task_directory) reads actual current native particle positions, fates, masses and physical time without advancement. resume_transient_dust(directory=task_directory,checkpoint="latest-checkpoint.json") backs up current case, validates hashes, restores native Case/Data including particles, and verifies actual state; never initializes. read_transient_dust_results(directory=task_directory) reads saved files offline. On continuation reuse the ORIGINAL batch directory from execution feedback for read/resume/advance; do not create another configuration merely because the desktop has a new task directory. Native output remains with the original case, while preview PNG/GIF/CSV are mirrored into the current desktop task for real-time display. Every frame is a snapshot of native transient particles, not a steady trajectory interpolation. Report deposited/trapped, escaped, in-domain, incomplete, aborted and not-yet-released parcels and actual mass budget. Caption all runs "预先释放悬浮颗粒，非积尘再悬浮". Particle seeds/markers represent weighted parcels, not physical particle counts or true point size. Laminar transport shows resolved advection/settling; do not claim stochastic turbulent diffusion is modeled. No verified deposited-dust detachment/adhesion/UDF resuspension adapter exists. Never add an upward initial velocity and call it resuspension. Preserve steady DPM as a distinct path.
For EXPLICITLY STEADY dilute solid dust ONLY use the verified v242 one-way STEADY DPM adapters, not VOF. First inspect_dpm(). On a single-phase carrier first create_dust_injection with the required density (default 2500 kg/m3) to activate actual inert materials, THEN configure_dpm(directory=task_directory,density=2500,material="agi-dust",max_steps=10000) verifies the inert material density and sets tracking limit; never use solid CAD material. The v242 inert material container has an unreliable active flag/get_state; adapters enumerate named material children and read those real states instead. Never query the entire inert material container. create_dust_injection(directory=task_directory,name="dust",start=[0.00001,0.003,0.01],end=[0.00001,0.017,0.01],streams=12,diameter=0.00005,mass_flow=0.0000001,velocity=[0.5,0,0],material="agi-dust") creates a real group injection. Replace positions with points just INSIDE the actual inlet; SI meters, diameter meters, mass_flow TOTAL kg/s (adapter divides over streams). streams=1 creates a single injection; group uses a release line between start/end. Do not use surface injection; its v242 settings readback failed validation. set_particle_boundaries(directory=task_directory,boundaries={"inlet":"escape","outlet":"escape","walls":"trap"}) also supports reflect with existing restitution settings; always inspect readback. Never silently change an existing multiphase or coupled DPM model. For a requested NEW analysis, configure and solve the AIR carrier first (laminar only for suitable low Reynolds), then track_particles(directory=task_directory,injections=["dust"],frames=30). This tracks native DPM trajectories, exports tracks.csv/json, native summary text, statistics and PNG/GIF. It does NOT initialize or advance the carrier. Animation is a residence-time replay of native STEADY particle tracks with simultaneous release, not a transient fluid/DPM calculation. Never use air pathlines or a continuous-phase contour as dust motion. Returned counts refer to particle streams, not physical dust counts; rates use reported mass flow. Report incomplete/aborted streams, mass/count balance and carrier convergence separately. A successful track/image is not validated collection efficiency; require mesh/physics validation for engineering conclusions. Preserve results; use a new injection name if its parameters change.
End with <final_answer>Chinese explanation of the intended changes, without claiming execution success</final_answer>.
If essential input or an incompatible session prevents a valid script, return only <question>the specific missing input in Chinese</question>.
After the desktop returns execution results, either provide a corrected script or return only <final_answer>a Chinese assessment supported by those results</final_answer>. Do not execute the same successful script again. Successful execution alone does not prove convergence.

Previous conversation and execution context (reference only; do not repeat successful scripts):
[{"assistant": "准备设计带双侧端板、主翼和襟翼的三维赛车前翼。请提供来流速度、前翼总宽和离地高度；如果只做演示，是否采用来流速度30 m/s、总宽1.2 m、离地高度0.1 m，并使用移动地面？这些参数会直接影响网格加密、流线动画及升阻力计算。", "run_directory": "C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142319-598cbb"}, {"user": "好的"}, {"assistant": "已确认采用30 m/s来流、1.2 m总宽、0.1 m离地高度和移动地面。但当前几何适配器仅声明支持 inlet、outlet、walls 三类边界，尚未确认能将前翼、地面和远场分别分组；这关系到移动地面设置及单独统计前翼升阻力。能否提供运行端支持独立壁面分组的能力反馈？否则无法可靠生成满足这些要求的完整脚本。", "run_directory": "C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142517-f253e1"}, {"user": "所有参数都是你来设计。"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_MODEL_ACTIVE False\\nREPAIRED_FRONT_WING_MESH {'files': ['C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\cad-d1bc89e9\\\\\\\\fluent.msh', 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\cad-d1bc89e9\\\\\\\\front-wing.step'], 'log': 'lane, Frontal-Delaunay)\\\\nInfo    : Done meshing 2D (Wall 0.31698s, CPU 0s)\\\\nInfo    : Meshing 3D...\\\\nInfo    : 3D Meshing 1 vol\n…中间日志已省略，完整日志保存在任务目录…\nS list_1 []\\nREPORT_drag_ARGUMENTS list_properties_1 ['object_name']\\nREPORT_drag_ARGUMENTS make_a_copy ['from_', 'to']\\nGRAPHICS_ACTIVE True\\nGRAPHICS_CHILDREN ['mesh', 'contour', 'vector', 'pathline', 'particle_track', 'lic', 'olic', 'volumes', 'contours', 'particle_tracks', 'colors', 'lighting', 'picture', 'views', 'windows', 'raytracing_options', 'pulse', 'periodic_instancing']\\nGRAPHICS_COMMANDS []\\nGRAPHICS_QUERIES []\\nGRAPHICS_pathline_ACTIVE False\\nGRAPHICS_pathline_CHILDREN []\\nGRAPHICS_pathline_COMMANDS ['delete', 'rename', 'list_1', 'list_properties_1', 'make_a_copy', 'display', 'copy', 'add_to_graphics', 'clear_history']\\nGRAPHICS_pathline_QUERIES []\\nGRAPHICS_pathline_ARGUMENTS delete ['name_list']\\nGRAPHICS_pathline_ARGUMENTS rename ['new', 'old']\\nGRAPHICS_pathline_ARGUMENTS list_1 []\\nGRAPHICS_pathline_ARGUMENTS list_properties_1 ['object_name']\\nGRAPHICS_pathline_ARGUMENTS make_a_copy ['from_', 'to']\\nGRAPHICS_pathline_ARGUMENTS display ['object_name']\\nGRAPHICS_pathline_ARGUMENTS copy ['from_name', 'new_name']\\nGRAPHICS_pathline_ARGUMENTS add_to_graphics ['object_name']\\nGRAPHICS_pathline_ARGUMENTS clear_history ['object_name']\\nDESIGN {'velocity': 30.0, 'span': 1.2, 'main_chord': 0.32, 'flap_chord': 0.14, 'main_angle': 8.0, 'flap_angle': 20.0, 'endplate_clearance': 0.1, 'maximum_volume_cells': 180000}\\nSTAGE mesh_repair_and_native_interface_readback\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"SOLVER_STATE {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'steady'}\\nWALL_ZONES ['walls']\\nINLET_ZONES ['inlet']\\nOUTLET_ZONES ['outlet']\\nMESH_CHILDREN ['adapt', 'anisotropic_adaption', 'check_before_solve', 'check_verbosity', 'enhanced_orthogonal_quality', 'matching_tolerance', 'modify_zones', 'show_periodic_shadow_zones', 'reorder', 'repair_improve', 'surface_mesh', 'polyhedra', 'wall_distance_method']\\nMESH_COMMANDS ['adjacency', 'c\n…中间日志已省略，完整日志保存在任务目录…\n-kl-w', 'transition-sst', 'reynolds-stress', 'scale-adaptive-simulation', 'detached-eddy-simulation', 'large-eddy-simulation']\\nVISCOUS_CHILDREN ['model', 'spalart_allmaras_production', 'k_epsilon_model', 'k_omega_model', 'k_omega_options', 'geko_options', 'rng_options', 'near_wall_treatment', 'reynolds_stress_model', 'subgrid_scale_model', 'les_model_options', 'reynolds_stress_options', 'rans_model', 'des_options', 'transition_module', 'hybrid_rans_les', 'sbes_options', 'user_defined_transition', 'options', 'multiphase_turbulence', 'turbulence_expert', 'transition_model_options', 'transition_sst_option', 'user_defined', 'sa_enhanced_wall_treatment', 'sa_damping']\\nRUN_CALCULATION_STATE {'pseudo_time_settings': {'verbosity': 0, 'time_step_method': {'time_step_method': 'automatic', 'length_scale_methods': 'conservative', 'time_step_size_scale_factor': 1.0}}, 'iter_count': 0, 'reporting_interval': 1, 'profile_update_interval': 1, 'data_sampling': {'enabled': False}}\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_boundary_force_interface.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,     4 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE boundary_separation_and_force_field_readback\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"WALL_ZONES ['walls']\\nITERATION_COUNT 0\\nMODIFY_ZONE_CHILDREN []\\nSEPARATION_COMMAND_NAMES ['sep_cell_zone_mark', 'sep_cell_zone_region', 'sep_face_zone_angle', 'sep_face_zone_face', 'sep_face_zone_mark', 'sep_face_zone_region']\\nSEPARATION_COMMAND sep_cell_zone_mark ['cell_zone_name', 'register', 'move_faces']\\nSEPARATION_ARGUMENT sep_cell_zone_mark cell_zone_name []\\nSEPARATION_ARGUMENT sep_cell_zone_mark register []\\nSEPARATION_ARGUMENT sep_cell_zone_mark mov\n…中间日志已省略，完整日志保存在任务目录…\nGUMENT sep_face_zone_mark face_zone_name []\\nSEPARATION_ARGUMENT sep_face_zone_mark register_name []\\nSEPARATION_ARGUMENT sep_face_zone_mark move_faces []\\nSEPARATION_COMMAND sep_face_zone_region ['face_zone_name', 'move_faces']\\nSEPARATION_ARGUMENT sep_face_zone_region face_zone_name []\\nSEPARATION_ARGUMENT sep_face_zone_region move_faces []\\nFORCE_DEFINITION front_wing_drag_interface {'name': 'front_wing_drag_interface', 'force_vector': [1, 0, 0], 'reference_frame': 'global', 'zones': None, 'per_zone': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nFORCE_DEFINITION front_wing_lift_interface {'name': 'front_wing_lift_interface', 'force_vector': [0.0, 1.0, 0.0], 'reference_frame': 'global', 'zones': None, 'per_zone': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nMOVING_WALL_FIELDS ['wall_motion', 'speed', 'rotation_speed', 'rotation_axis_direction', 'direction', 'velocity_components']\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_separation_arguments.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,     4 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE targeted_boundary_separation_arguments\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_WALL_ZONES ['walls']\\nCURRENT_ITERATIONS 0\\nCURRENT_MODELS {'model': 'k-omega', 'k_omega_model': 'sst', 'k_omega_options': {'kw_low_re_correction': False}, 'near_wall_treatment': {'wall_omega_treatment': 'correlation'}, 'transition_module': 'none', 'options': {'curvature_correction': False, 'corner_flow_correction': False, 'production_kato_launder_enabled': False, 'production_limiter': {'enabled': True, 'clip_factor': 10.0}}, 'turbulence_expert': {'turb_\n…中间日志已省略，完整日志保存在任务目录…\n-vertexavg', 'surface-vertexmax', 'surface-vertexmin', 'surface-volumeflowrate']\\nCOORDINATE_REPORT_OPTIONS surface_names ['walls:011', 'walls:012', 'walls:013', 'walls:014', 'walls:015', 'walls:016', 'walls:017', 'walls:018', 'walls:019', 'walls:020', 'walls:021', 'walls:022', 'walls:023', 'walls:024', 'walls:025', 'walls:007:008', 'walls:007:009', 'walls:007:010', 'walls:007', 'inlet', 'outlet', 'walls']\\nWALL_MOTION_OPTIONS ['Stationary Wall', 'Moving Wall']\\nWALL_MOMENTUM_FIELDS ['wall_motion', 'moving', 'relative', 'rotating', 'components', 'speed', 'rotation_speed', 'rotation_axis_origin', 'rotation_axis_direction', 'direction', 'velocity_components', 'shear_condition', 'fsi_interface', 'periodic_displacement', 'periodic_imaginary_displacement', 'frequency', 'amplitude', 'nodal_diam', 'passage_number', 'fwd', 'aero', 'cmplx', 'norm', 'method', 'shear_stress', 'fslip', 'eslip', 'surface_tension_gradient', 'specified_shear', 'specularity_coeff', 'mom_accommodation_coeff']\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_partitioned_air_setup.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,    23 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE native_wall_partition_and_air_setup\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
Runtime capabilities:
{"protocol": "FluentAGI-capabilities-v1", "session": {"connected": true, "mode": "launch"}, "geometry": {"worker": "gmsh isolated process", "imports": [], "builtins": ["range", "len", "int", "float", "str", "list", "tuple", "enumerate", "zip", "min", "max", "abs", "round", "RuntimeError", "ValueError", "print", "set", "sum", "sorted", "bool", "all", "any"], "physical_groups": ["inlet", "outlet", "walls"], "cell_types": ["triangle", "quadrilateral", "tetrahedron", "hexahedron", "prism", "pyramid"]}, "script": {"imports": ["math", "json", "itertools", "functools", "collections", "dataclasses", "typing"], "adapters": ["build_dust_box", "configure_transient_dust", "initialize_transient_dust", "read_transient_dust", "advance_transient_dust", "resume_transient_dust", "read_transient_dust_results", "inspect_dpm", "configure_dpm", "create_dust_injection", "set_particle_boundaries", "track_particles", "build_planar", "build_volume", "build_extruded", "geometry_mesh", "configure_water_air", "initialize_air", "record_animation", "export_results", "assign_phase_materials", "assign_multiphase_materials", "configure_three_phase_materials", "audit_multiphase_interfaces", "configure_evaporation_condensation", "inspect_phase_change", "configure_surface_tension", "inspect_surface_tension"]}, "generated_at": 1792304747.7744308, "phase_change": {"version": "v242", "model": "Lee", "adapter_multiphase_models": ["vof"], "mixture_officially_available": true, "mixture_adapter_validated": false, "two_phase_2d_correction_runtime_validation": "pending", "automatic_model_switch": false, "phases": [2, 3], "saturation": "constant K", "frequencies": "positive finite 1/s", "mass_transfer_pairs": 1, "internal_official_tui": true, "generated_direct_tui": false, "readback": "unique case snapshot", "initializes": false}, "surface_tension": {"version": "v242/v252", "runtime_validation": {"v242": "previous native validation", "v252": "official command and generated SDK checked; customer runtime readback required"}, "model": "VOF", "coefficient": "nonnegative finite N/m", "preserves_other_pairs": true, "readback": "unique case snapshot", "initializes": false}, "transient_dpm": {"version": "v242", "model": "unsteady single-phase carrier + transient one-way inert DPM", "release": "one short native pulse per explicit point / region grid, max 64 weighted parcels", "chunk_steps": 60, "positions": "native current positions at actual physical time; never steady replay", "checkpoint": "unique Case/Data plus SHA256 and particle-state readback", "acceptance": "each-step residuals, native air mass flux, particle mass/count fate closure", "default_residual_tolerance": 1e-05, "benchmark_residual_tolerance": 0.001, "strict_1e_5_initial_step_validated": false, "resuspension_validated": false, "stochastic_turbulent_dispersion_validated": false}, "dpm": {"version": "v242", "carrier": "single phase, one-way, steady inert dust", "injection_types": ["single", "group"], "surface_injection_validated": false, "boundary_types": ["reflect", "trap", "escape"], "trajectory_source": "native GetParticleTracksField RPC", "animation": "steady DPM trajectory residence-time replay, no carrier advance", "transient_dpm_validated": false, "two_way_validated": false, "readback": true, "active": false}, "fluent_version": "Ansys Fluent 2024 R2", "model_active": false}
Current session:
{"connected": true, "dimension": 3, "mode": "solver", "owned": true, "continuation": true}
Task directory:
C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261018-142547-90d0a4
Current request:
所有参数都是你来设计。
Desktop execution feedback:
[{"action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142547-90d0a4\"\ns = solver.settings\n\nif not s.setup.models.is_active():\n    raise RuntimeError(\"当前网格未激活。\")\n\nbc = s.setup.boundary_conditions\nprint(\"WALL_ZONES\", bc.wall.get_object_names())\nprint(\"ITERATION_COUNT\", s.solution.run_calculation.iter_count.get_state())\n\nmodify = s.mesh.modify_zones\nprint(\"MODIFY_ZONE_CHILDREN\", getattr(modify, \"child_names\", []))\ncommands = getattr(modify, \"command_names\", [])\nprint(\"SEPARATION_COMMAND_NAMES\", [\n    name for name in commands\n    if any(word in name for word in [\"sep\", \"split\", \"rename\"])\n])\n\nfor name in commands:\n    if any(word in name for word in [\"sep\", \"split\", \"rename\"]):\n        command = getattr(modify, name)\n        arguments = getattr(command, \"argument_names\", [])\n        print(\"SEPARATION_COMMAND\", name, arguments)\n        for argument_name in arguments:\n            argument = getattr(command, argument_name)\n            print(\n                \"SEPARATION_ARGUMENT\",\n                name,\n                argument_name,\n                getattr(argument, \"child_names\", []),\n            )\n\nfor child_name in getattr(modify, \"child_names\", []):\n    child = getattr(modify, child_name)\n    for name in getattr(child, \"command_names\", []):\n        if any(word in name for word in [\"sep\", \"split\", \"rename\"]):\n            command = getattr(child, name)\n            print(\n                \"NESTED_SEPARATION_COMMAND\",\n                child_name,\n                name,\n                getattr(command, \"argument_names\", []),\n            )\n\nreports = s.solution.report_definitions.force\nfor name, direction in [\n    (\"front_wing_drag_interface\", [1.0, 0.0, 0.0]),\n    (\"front_wing_lift_interface\", [0.0, 1.0, 0.0]),\n]:\n    if name not in reports.get_object_names():\n        reports[name] = {}\n    reports[name].force_vector = direction\n    print(\"FORCE_DEFINITION\", name, reports[name].get_state())\n\nmomentum = bc.wall[\"walls\"].momentum if \"walls\" in bc.wall.get_object_names() else None\nif momentum is not None:\n    print(\"MOVING_WALL_FIELDS\", [\n        name for name in getattr(momentum, \"child_names\", [])\n        if any(word in name for word in [\n            \"motion\", \"velocity\", \"speed\", \"direction\"\n        ])\n    ])\n\ns.file.write_case(\n    file_name=task_directory + r\"\\front_wing_separation_arguments.cas.h5\"\n)\nprint(\"STAGE\", \"targeted_boundary_separation_arguments\")"}}, "result": "{\"status\": \"ok\", \"stdout\": \"WALL_ZONES ['walls']\\nITERATION_COUNT 0\\nMODIFY_ZONE_CHILDREN []\\nSEPARATION_COMMAND_NAMES ['sep_cell_zone_mark', 'sep_cell_zone_region', 'sep_face_zone_angle', 'sep_face_zone_face', 'sep_face_zone_mark', 'sep_face_zone_region']\\nSEPARATION_COMMAND sep_cell_zone_mark ['cell_zone_name', 'register', 'move_faces']\\nSEPARATION_ARGUMENT sep_cell_zone_mark cell_zone_name []\\nSEPARATION_ARGUMENT sep_cell_zone_mark register []\\nSEPARATION_ARGUMENT sep_cell_zone_mark move_faces []\\nSEPARATION_COMMAND sep_cell_zone_region ['cell_zone_name', 'move_cells']\\nSEPARATION_ARGUMENT sep_cell_zone_region cell_zone_name []\\nSEPARATION_ARGUMENT sep_cell_zone_region move_cells []\\nSEPARATION_COMMAND sep_face_zone_angle ['face_zone_name', 'angle', 'move_faces']\\nSEPARATION_ARGUMENT sep_face_zone_angle face_zone_name []\\nSEPARATION_ARGUMENT sep_face_zone_angle angle []\\nSEPARATION_ARGUMENT sep_face_zone_angle move_faces []\\nSEPARATION_COMMAND sep_face_zone_face ['face_zone_name', 'move_faces']\\nSEPARATION_ARGUMENT sep_face_zone_face face_zone_name []\\nSEPARATION_ARGUMENT sep_face_zone_face move_faces []\\nSEPARATION_COMMAND sep_face_zone_mark ['face_zone_name', 'register_name', 'move_faces']\\nSEPARATION_ARGUMENT sep_face_zone_mark face_zone_name []\\nSEPARATION_ARGUMENT sep_face_zone_mark register_name []\\nSEPARATION_ARGUMENT sep_face_zone_mark move_faces []\\nSEPARATION_COMMAND sep_face_zone_region ['face_zone_name', 'move_faces']\\nSEPARATION_ARGUMENT sep_face_zone_region face_zone_name []\\nSEPARATION_ARGUMENT sep_face_zone_region move_faces []\\nFORCE_DEFINITION front_wing_drag_interface {'name': 'front_wing_drag_interface', 'force_vector': [1, 0, 0], 'reference_frame': 'global', 'zones': None, 'per_zone': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nFORCE_DEFINITION front_wing_lift_interface {'name': 'front_wing_lift_interface', 'force_vector': [0.0, 1.0, 0.0], 'reference_frame': 'global', 'zones': None, 'per_zone': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nMOVING_WALL_FIELDS ['wall_motion', 'speed', 'rotation_speed', 'rotation_axis_direction', 'direction', 'velocity_components']\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_separation_arguments.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,     4 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE targeted_boundary_separation_arguments\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142547-90d0a4\"\ns = solver.settings\n\nif not s.setup.models.is_active():\n    raise RuntimeError(\"当前网格未激活。\")\n\nbc = s.setup.boundary_conditions\nprint(\"CURRENT_WALL_ZONES\", bc.wall.get_object_names())\nprint(\"CURRENT_ITERATIONS\", s.solution.run_calculation.iter_count.get_state())\nprint(\"CURRENT_MODELS\", s.setup.models.viscous.get_state())\n\ns.file.write_case(\n    file_name=task_directory + r\"\\before_front_wing_wall_separation.cas.h5\"\n)\n\nmodify = s.mesh.modify_zones\nwall_names = bc.wall.get_object_names()\nif wall_names == [\"walls\"]:\n    print(\n        \"REGION_SEPARATION\",\n        modify.sep_face_zone_region(\n            face_zone_name=\"walls\",\n            move_faces=True,\n        ),\n    )\n    region_names = bc.wall.get_object_names()\n    print(\"CONNECTED_WALL_REGIONS\", region_names)\n    for name in region_names:\n        print(\n            \"ANGLE_SEPARATION\",\n            name,\n            modify.sep_face_zone_angle(\n                face_zone_name=name,\n                angle=45.0,\n                move_faces=True,\n            ),\n        )\nelse:\n    print(\"EXISTING_PARTITIONS_PRESERVED\", wall_names)\n\nprint(\"SEPARATED_WALL_ZONES\", bc.wall.get_object_names())\ns.mesh.check()\ns.file.write_case(\n    file_name=task_directory + r\"\\front_wing_separated_walls.cas.h5\"\n)\n\ns.setup.general.solver.type = \"pressure-based\"\ns.setup.models.viscous.model = \"k-omega\"\ns.setup.models.viscous.k_omega_model = \"sst\"\ns.setup.models.energy.enabled = False\ns.setup.general.operating_conditions.gravity.enable = False\n\nmaterials = s.setup.materials\nif \"air\" not in materials.fluid.get_object_names():\n    materials.database.copy_by_name(type=\"fluid\", name=\"air\")\nair = materials.fluid[\"air\"]\nfor name, value in [\n    (\"density\", 1.225),\n    (\"viscosity\", 1.7894e-5),\n]:\n    getattr(air, name).set_state({\"option\": \"constant\", \"value\": value})\n\nfluid_zones = s.setup.cell_zone_conditions.fluid\nfor name in fluid_zones.get_object_names():\n    fluid_zones[name].general.material = \"air\"\n\ninlet = bc.velocity_inlet[\"inlet\"]\ninlet.momentum.velocity.set_state({\"option\": \"value\", \"value\": 30.0})\noutlet = bc.pressure_outlet[\"outlet\"]\noutlet.momentum.gauge_pressure.set_state({\"option\": \"value\", \"value\": 0.0})\nprint(\"INLET_TURBULENCE\", inlet.turbulence.get_state())\nprint(\"INLET_TURBULENCE_FIELDS\", getattr(inlet.turbulence, \"child_names\", []))\nprint(\"OUTLET_TURBULENCE\", outlet.turbulence.get_state())\n\nsurface_reports = s.solution.report_definitions.surface\nreport_name = \"front_wing_coordinate_interface\"\nif report_name not in surface_reports.get_object_names():\n    surface_reports[report_name] = {}\nreport = surface_reports[report_name]\nprint(\"COORDINATE_REPORT_STATE\", report.get_state())\nprint(\"COORDINATE_REPORT_FIELDS\", getattr(report, \"child_names\", []))\nfor name in getattr(report, \"child_names\", []):\n    child = getattr(report, name)\n    if child.is_active() and hasattr(child, \"allowed_values\"):\n        if name in [\"report_type\", \"surface_names\", \"zones\"]:\n            print(\"COORDINATE_REPORT_OPTIONS\", name, child.allowed_values())\n\nwall_names = bc.wall.get_object_names()\nif wall_names:\n    momentum = bc.wall[wall_names[0]].momentum\n    print(\"WALL_MOTION_OPTIONS\", momentum.wall_motion.allowed_values())\n    print(\"WALL_MOMENTUM_FIELDS\", getattr(momentum, \"child_names\", []))\n\ns.file.write_case(\n    file_name=task_directory + r\"\\front_wing_partitioned_air_setup.cas.h5\"\n)\nprint(\"STAGE\", \"native_wall_partition_and_air_setup\")"}}, "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_WALL_ZONES ['walls']\\nCURRENT_ITERATIONS 0\\nCURRENT_MODELS {'model': 'k-omega', 'k_omega_model': 'sst', 'k_omega_options': {'kw_low_re_correction': False}, 'near_wall_treatment': {'wall_omega_treatment': 'correlation'}, 'transition_module': 'none', 'options': {'curvature_correction': False, 'corner_flow_correction': False, 'production_kato_launder_enabled': False, 'production_limiter': {'enabled': True, 'clip_factor': 10.0}}, 'turbulence_expert': {'turb_non_newtonian': False, 'restore_sst_v61': False}, 'user_defined': {'turb_visc_func': 'none'}}\\n\\nWriting t\n…中间日志已省略，完整日志保存在任务目录…\ny_algorithm', 'number_of_fourier_modes', 'number_of_vortices', 'streamwise_fluctuations', 'satisfy_mass_conservation', 'scale_search_limiter', 'stg_turbulent_intensity', 'stg_turbulent_viscosity_ratio', 'wall_distance', 'volumetric_forcing', 'forcing_zone_thickness', 'volumetric_thickness', 'turbulence_specification', 'modified_turbulent_viscosity', 'laminar_kinetic_energy', 'intermittency', 'turbulent_kinetic_energy', 'turbulent_dissipation_rate', 'specific_dissipation_rate', 'velocity_variance_scale', 'turbulent_intensity', 'turbulent_length_scale', 'hydraulic_diameter', 'turbulent_viscosity_ratio', 'turbulent_viscosity_ratio_profile', 'reynolds_stress_specification', 'uu_reynolds_stresses', 'vv_reynolds_stresses', 'ww_reynolds_stresses', 'uv_reynolds_stresses', 'vw_reynolds_stresses', 'uw_reynolds_stresses', 'subgrid_kinetic_energy_specification', 'subgrid_kinetic_energy', 'subgrid_turbulent_intensity']\\nOUTLET_TURBULENCE {'turbulence_specification': 'Intensity and Viscosity Ratio', 'backflow_turbulent_intensity': 0.05, 'backflow_turbulent_viscosity_ratio': 10}\\nCOORDINATE_REPORT_STATE {'name': 'front_wing_coordinate_interface', 'report_type': 'surface-area', 'surface_names': None, 'per_surface': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nCOORDINATE_REPORT_FIELDS ['name', 'report_type', 'field', 'surface_names', 'per_surface', 'average_over', 'retain_instantaneous_values', 'custom_vector', 'phase', 'physics', 'geometry', 'surfaces', 'output_parameter']\\nCOORDINATE_REPORT_OPTIONS report_type ['surface-area', 'surface-areaavg', 'surface-vectbasedflux', 'surface-vectflux', 'surface-vectwtavg', 'surface-facetavg', 'surface-facetmax', 'surface-facetmin', 'surface-flowrate', 'surface-integral', 'surface-massflowrate', 'surface-massavg', 'surface-stddev', 'surface-sum', 'surface-areawtui', 'surface-masswtui', 'surface-vertexavg', 'surface-vertexmax', 'surface-vertexmin', 'surface-volumeflowrate']\\nCOORDINATE_REPORT_OPTIONS surface_names ['walls:011', 'walls:012', 'walls:013', 'walls:014', 'walls:015', 'walls:016', 'walls:017', 'walls:018', 'walls:019', 'walls:020', 'walls:021', 'walls:022', 'walls:023', 'walls:024', 'walls:025', 'walls:007:008', 'walls:007:009', 'walls:007:010', 'walls:007', 'inlet', 'outlet', 'walls']\\nWALL_MOTION_OPTIONS ['Stationary Wall', 'Moving Wall']\\nWALL_MOMENTUM_FIELDS ['wall_motion', 'moving', 'relative', 'rotating', 'components', 'speed', 'rotation_speed', 'rotation_axis_origin', 'rotation_axis_direction', 'direction', 'velocity_components', 'shear_condition', 'fsi_interface', 'periodic_displacement', 'periodic_imaginary_displacement', 'frequency', 'amplitude', 'nodal_diam', 'passage_number', 'fwd', 'aero', 'cmplx', 'norm', 'method', 'shear_stress', 'fslip', 'eslip', 'surface_tension_gradient', 'specified_shear', 'specularity_coeff', 'mom_accommodation_coeff']\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_partitioned_air_setup.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,    23 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE native_wall_partition_and_air_setup\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
【ChatGPT 回复】
ChatGPT 说：

壁面已成功拆分。本轮按实际坐标识别前翼、地面和外边界，设置移动地面，计算气动力，并生成中央截面速度动画；同时保存残差和受力读回，供核验收敛情况。

<fluent_code>
```python
# Use the existing connected PyFluent variable solver.
import math

task_directory = r"C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261018-142547-90d0a4"
s = solver.settings

def checked(label, result):
    print(label, result)
    if isinstance(result, dict):
        if result.get("status") in ("error", "failed", "needs_review"):
            raise RuntimeError(str(result))
        if result.get("error") or result.get("errors"):
            raise RuntimeError(str(result))
    return result

def numbers(value):
    if isinstance(value, bool):
        return []
    if isinstance(value, (int, float)):
        return [float(value)]
    if isinstance(value, dict):
        result = []
        for child in value.values():
            result.extend(numbers(child))
        return result
    if isinstance(value, (list, tuple)):
        result = []
        for child in value:
            result.extend(numbers(child))
        return result
    return []

def report_value(result, name):
    if isinstance(result, dict):
        if name in result:
            values = numbers(result[name])
            if values and math.isfinite(values[0]):
                return values[0]
        for child in result.values():
            try:
                return report_value(child, name)
            except ValueError:
                pass
    elif isinstance(result, (list, tuple)):
        for child in result:
            try:
                return report_value(child, name)
            except ValueError:
                pass
    raise ValueError("无法提取报告值：" + name + "；实际返回：" + str(result))

def scalar(setting, value):
    state = setting.get_state()
    if isinstance(state, dict):
        if "value" not in state:
            raise RuntimeError("无法识别数值字段：" + str(state))
        update = {"value": value}
        if "option" in state:
            update["option"] = "value"
        setting.set_state(update)
    else:
        setting.set_state(value)

def vector(setting, values):
    state = setting.get_state()
    if isinstance(state, (list, tuple)):
        setting.set_state(values)
    elif isinstance(state, dict):
        keys = list(state)
        groups = [
            ["x", "y", "z"],
            ["x_component", "y_component", "z_component"],
        ]
        matched = False
        for group in groups:
            if all(key in keys for key in group):
                for key, value in zip(group, values):
                    scalar(getattr(setting, key), value)
                matched = True
                break
        if not matched:
            raise RuntimeError("无法识别矢量字段：" + str(state))
    else:
        raise RuntimeError("无法识别矢量字段：" + str(state))

if not s.setup.models.is_active():
    raise RuntimeError("当前网格未激活。")

bc = s.setup.boundary_conditions
wall_names = bc.wall.get_object_names()
print("CURRENT_WALL_ZONES", wall_names)
print("CURRENT_SOLVER", s.setup.general.solver.get_state())
iteration_start = s.solution.run_calculation.iter_count.get_state()
print("INITIAL_ITERATION_COUNT", iteration_start)

s.file.write_case(
    file_name=task_directory + r"\before_front_wing_coordinate_setup.cas.h5"
)

surface_reports = s.solution.report_definitions.surface
probe_names = []
for axis in ["x", "y", "z"]:
    for suffix, report_type in [
        ("min", "surface-vertexmin"),
        ("max", "surface-vertexmax"),
    ]:
        name = "fw_bound_" + axis + "_" + suffix
        if name not in surface_reports.get_object_names():
            surface_reports[name] = {}
        report = surface_reports[name]
        report.report_type = report_type
        allowed = report.field.allowed_values()
        field = axis + "-coordinate"
        if field not in allowed:
            raise RuntimeError("坐标字段不可用：" + field)
        report.field = field
        probe_names.append(name)

bounds = {}
for zone in wall_names:
    for name in probe_names:
        surface_reports[name].surface_names = [zone]
    result = s.solution.report_definitions.compute(report_defs=probe_names)
    values = [report_value(result, name) for name in probe_names]
    bounds[zone] = values
    print("WALL_BOUNDS", zone, values)

wing = []
ground = []
farfield = []
for zone, b in bounds.items():
    xmin, xmax, ymin, ymax, zmin, zmax = b
    if max(abs(ymin), abs(ymax)) < 1e-5:
        ground.append(zone)
    elif (
        xmin > -0.031 and xmax < 0.491
        and ymin > 0.089 and ymax < 0.351
        and zmin > -0.619 and zmax < 0.619
    ):
        wing.append(zone)
    else:
        farfield.append(zone)

print("BOUNDARY_CLASSIFICATION", {
    "wing": wing,
    "ground": ground,
    "farfield": farfield,
})
if not wing or len(ground) != 1 or len(farfield) != 3:
    raise RuntimeError("边界分类与设计不符，停止求解并保留网格。")

for zone in wing + ground:
    bc.wall[zone].momentum.shear_condition = "No Slip"
    bc.wall[zone].momentum.wall_motion = "Stationary Wall"

momentum = bc.wall[ground[0]].momentum
momentum.wall_motion = "Moving Wall"
for name, value in [
    ("relative", False),
    ("rotating", False),
    ("components", False),
]:
    child = getattr(momentum, name)
    if child.is_active():
        child.set_state(value)
scalar(momentum.speed, 30.0)
vector(momentum.direction, [1.0, 0.0, 0.0])
print("MOVING_GROUND_READBACK", momentum.get_state())

for zone in farfield:
    momentum = bc.wall[zone].momentum
    momentum.wall_motion = "Stationary Wall"
    momentum.shear_condition = "Specified Shear"
    print("SLIP_OUTER_BOUNDARY", zone, momentum.get_state())

inlet = bc.velocity_inlet["inlet"]
outlet = bc.pressure_outlet["outlet"]
scalar(inlet.momentum.velocity, 30.0)
scalar(outlet.momentum.gauge_pressure, 0.0)
inlet.turbulence.turbulence_specification = "Intensity and Viscosity Ratio"
scalar(inlet.turbulence.turbulent_intensity, 0.01)
scalar(inlet.turbulence.turbulent_viscosity_ratio, 10.0)
print("INLET_TURBULENCE_READBACK", inlet.turbulence.get_state())

force_names = []
for name, direction in [
    ("front_wing_drag_interface", [1.0, 0.0, 0.0]),
    ("front_wing_lift_interface", [0.0, 1.0, 0.0]),
]:
    report = s.solution.report_definitions.force[name]
    report.force_vector = direction
    report.zones = wing
    force_names.append(name)
    print("WING_FORCE_READBACK", name, report.get_state())

for name, zone in [("fw_inlet_mass", "inlet"), ("fw_outlet_mass", "outlet")]:
    if name not in surface_reports.get_object_names():
        surface_reports[name] = {}
    report = surface_reports[name]
    report.report_type = "surface-massflowrate"
    report.surface_names = [zone]

s.file.write_case(
    file_name=task_directory + r"\front_wing_ready_to_solve.cas.h5"
)
print("RESIDUAL_CONFIGURATION", s.solution.monitor.residual.get_state())

if iteration_start != 0:
    raise RuntimeError("检测到已有迭代结果；保留结果，停止首次初始化流程。")

s.setup.general.solver.time = "steady"
s.solution.initialization.hybrid_initialize()
s.file.start_transcript(
    file_name=task_directory + r"\front_wing_flow_and_forces.trn"
)
try:
    for block in range(6):
        s.solution.run_calculation.iterate(iter_count=50)
        result = s.solution.report_definitions.compute(report_defs=force_names)
        drag = report_value(result, force_names[0])
        lift = report_value(result, force_names[1])
        dynamic_force = 0.5 * 1.225 * 30.0**2 * (1.2 * 0.46)
        print("STEADY_FORCE_HISTORY", {
            "iteration": s.solution.run_calculation.iter_count.get_state(),
            "drag": drag,
            "lift": lift,
            "downforce": -lift,
            "CD": drag / dynamic_force,
            "CL": lift / dynamic_force,
        })

    s.file.write_case_data(
        file_name=task_directory + r"\front_wing_steady_checkpoint.cas.h5"
    )
    section = checked(
        "CENTRAL_SECTION",
        fluentagi.create_section(axis="z", position=0.0),
    )
    s.setup.general.solver.time = "unsteady-2nd-order"
    s.solution.run_calculation.transient_controls.time_step_size = 0.0005
    checked(
        "VELOCITY_SECTION_ANIMATION",
        fluentagi.record_animation(
            directory=task_directory,
            field="velocity-magnitude",
            frames=41,
            steps_per_frame=5,
            max_iter_per_step=40,
            surfaces=[section["surface"]],
        ),
    )
    print(
        "FINAL_FORCES",
        s.solution.report_definitions.compute(report_defs=force_names),
    )
    print(
        "BOUNDARY_MASS_FLOW",
        s.solution.report_definitions.compute(
            report_defs=["fw_inlet_mass", "fw_outlet_mass"]
        ),
    )
    checked(
        "FINAL_SECTION_EXPORT",
        fluentagi.export_results(
            directory=task_directory,
            fields=["pressure", "velocity-magnitude"],
            surfaces=[section["surface"]],
        ),
    )
    paths = s.results.graphics.pathline
    if paths.is_active():
        path_name = "front_wing_streamlines"
        if path_name not in paths.get_object_names():
            paths[path_name] = {}
        path = paths[path_name]
        print("STREAMLINE_FIELDS", getattr(path, "child_names", []))
        print("STREAMLINE_STATE", path.get_state())
finally:
    s.file.stop_transcript()
    s.file.write_case_data(
        file_name=task_directory + r"\front_wing_flow_checkpoint.cas.h5"
    )

print("REFERENCE_AREA", 1.2 * 0.46)
print("ANIMATION_PLANNED_DURATION", 0.1)
print("VALIDATION", {
    "all_steps_convergence_verified": False,
    "mesh_independence_verified": False,
    "near_wall_resolution_verified": False,
    "streamline_export_verified": False,
})
```
</fluent_code>

<final_answer>本脚本计划完成边界识别、移动地面设置、300次定常迭代及200步瞬态截面动画，读取前翼升阻力和进出口质量流量。系数统一使用0.552 m²参考面积。流线对象仍需依据实际字段完成配置；当前粗网格与近壁分辨率尚未验证，不能预先认定计算收敛或气动力准确。</final_answer>

round-07
【发送给 ChatGPT】
You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout:

<fluent_code>

```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.
```

</fluent_code>

Put a newline before and after each tag and each fence. Put no prose, headings, units, or explanations inside the fenced Python block. Do not place ```python and Python statements on the same line. Keep the script under 280 lines. Use loops instead of repeating similar statements. Never truncate a string, parenthesis, or code fence; always close </fluent_code>.
Use the existing solver session and compatible PyFluent APIs. A completed conversation turn does not close the session. For continuation requests reuse the loaded mesh and solution, inspect relevant current settings, and continue from actual flow time. Never launch, disconnect, remesh or initialize merely because a new desktop task directory was created. Do not launch or close Fluent. Do not use Abaqus APIs. Use solver.settings APIs and the provided fluentagi adapters. Direct solver.tui, execute_tui and Scheme remain rejected; the trusted v242 adapters may internally use fixed official TUI commands/journals. For mesh display use solver.settings.results.graphics.mesh and graphics.views APIs. Do not return JSON tool plans. Do not invent mesh files or API names. Only operate on the requested case and task directory. Preserve existing results. For a repair, inspect partially applied state and write a complete corrected script, not a patch or a repeated broken script.
The web AI cannot read or modify host application source. Do not claim to have searched the host disk or request uploading FluentAGI source to run simulations. Use the verified runtime adapters. Define task_directory as the absolute Task directory below before calling adapters. For VOF surface tension use fluentagi.configure_surface_tension(directory=task_directory,coefficient=0.072,phase_a="phase-1",phase_b="phase-2"); coefficient is N/m, replace the example with the requested value. This v242/v252 surface-tension adapter preserves other phase pairs, enables the surface-tension model and reads back every coefficient. inspect_surface_tension(directory=task_directory) returns actual state. Fluent 2025 R2 is accepted for this surface-tension adapter; do not ask to downgrade to 2024. Other Lee/DPM adapters retain their own version restrictions. Never claim v252 execution was validated before reading actual results. Do not ask the user to edit the plugin or click GUI dialogs for this supported operation.
Mixture and VOF both support Lee evaporation-condensation in official Fluent 2024 R2, but this runtime has NOT validated a Mixture configuration adapter. Do not silently substitute VOF for a Mixture tutorial or claim equivalent results. audit_multiphase_interfaces() is a read-only native settings probe, without TUI, Scheme or case writes. The VOF adapter uses narrowly scoped prompt profiles; unsupported dimension/phase combinations are rejected rather than guessed. For three-phase boiling setup in Fluent 2024 R2, use fluentagi.configure_three_phase_materials(directory=task_directory, materials=["air", "water-liquid", "water-vapor"]) to create actual phase-1/2/3 domains and verify material assignments. For an existing three-phase model, fluentagi.assign_multiphase_materials(materials=[...], directory=task_directory) assigns materials without changing the phase count. Then call fluentagi.configure_evaporation_condensation(directory=task_directory, saturation_temperature=T_sat_K, evaporation_frequency=from_frequency_per_second, condensation_frequency=to_frequency_per_second, from_phase="phase-2", to_phase="phase-3"). Pass the user's specified temperature/frequencies; preserve their geometry, heating and calculation parameters. This verified v242 VOF Lee adapter enables energy, uses a fixed official TUI journal and verifies the phase pair, constant saturation temperature, both frequencies and Lee model by an independent case snapshot. It does not initialize or advance the simulation. Do not say this feature is unavailable because direct TUI is forbidden; use the adapter. fluentagi.inspect_phase_change(directory=task_directory) returns actual phases and mass transfer settings, refreshing a unique case snapshot. Do not replace existing unrelated mechanisms. This adapter supports one Lee mass transfer pair, not Eulerian wall boiling, semi-mechanistic wall boiling, pressure-dependent saturation tables or UDFs. Do not claim a complete validated boiling simulation from successful setup alone. initialize_air is a TWO-PHASE adapter; do not use it for three-phase cases. Use verified settings initialization and phase-aware patching only for requested new calculations.
The runtime provides fluentagi.assign_phase_materials(primary="air", secondary="water-liquid", directory=task_directory), fluentagi.inspect_phases(), and fluentagi.export_results(directory=task_directory, fields=["pressure", "velocity-magnitude"]). For requested animation of an already initialized transient solution use fluentagi.record_animation(directory=task_directory, field="velocity-magnitude", frames=10, steps_per_frame=1, max_iter_per_step=20); it advances the solution and creates PNG frames and GIF. Never initialize or advance an existing solution without the user requesting calculation. These are executable verified adapters, not prose instructions. Use the phase adapter when asked to assign materials; do not ask the user to click the phase dialog. Print returned results. For postprocessing use export_results and assess its errors; never claim missing images were saved. Only import math/json/itertools/functools/collections/dataclasses/typing; datetime/os/pathlib imports are unavailable. Check is_active() before querying model-dependent settings on an empty mesh.
For NEW planar geometry and meshing use mesh = fluentagi.build_planar(directory=task_directory, points=[[x,y],...], inlet_edges=[0], outlet_edges=[2], size=0.001). Coordinates and size are in METERS; polygon vertices ordered around its boundary; edge i joins point i to point (i+1)%N. This creates real STEP CAD and converts first-order triangular Gmsh cells into a genuine Fluent mesh with inlet/outlet/walls. Then solver.settings.file.read_mesh(file_name=mesh["mesh_file"]), solver.settings.mesh.check(), configure physics, initialize, iterate, and export_results. Save current case/data before replacing loaded geometry. Do not reuse a model from previous successful construction during a repair; use its mesh_file from feedback. For curved planar CAD, use fluentagi.geometry_mesh(directory=task_directory,code=gmsh_script_string); the worker has gmsh,math,output_dir already, no imports; create OCC geometry and physical line groups named inlet,outlet,walls, export STEP, generate first-order triangular or quadrilateral mesh(2). Returned mesh_file is Fluent format; gmsh-native.msh is NOT Fluent format. 3D modeling and volume mesh conversion are now implemented. fluentagi.build_volume(directory=task_directory, shape="box",length=0.1,width=0.02,height=0.02,size=0.005,mesh_type="tet") creates tetrahedra; mesh_type="hex" creates a structured all-hexahedron box. shape="cylinder",radius=0.01 supports tetrahedra with axis along +X. Inlet is X=0 and outlet X=length. fluentagi.build_extruded(directory=task_directory,points=[[x,y],...],inlet_edges=[0],outlet_edges=[2],depth=0.01,size=0.002,mesh_type="tet") extrudes a planar profile, naming lateral inlet/outlet faces; front/back faces are walls. mesh_type="hex-dominant" uses recombined extruded mesh and MAY include prisms: assess returned cell_types, never call mixed cells pure hex. geometry_mesh supports arbitrary OCC volumes (boolean unions/cuts), physical SURFACE groups inlet/outlet/walls, and mesh.generate(3), first-order tet/hex/prism/pyramid. Imported STEP is not currently supported by the restricted worker. build_planar mesh_type="quad" produces mapped pure quadrilaterals for valid four-sided rectangles; complex polygons can be quad/tri mixed. 2D uses triangles/quads, 3D uses tet/hex. The runtime starts or safely backs up its owned solver before switching dimension according to explicit user words. Do not request user-supplied 3D mesh for supported geometry. Save backups before replacing any loaded mesh. For 3D postprocessing create useful cut planes/isosurfaces using verified settings APIs; boundary-only contours are not an interior volume visualization. For an entire new analysis, carry out all stages rather than only inspection; collect real residual/convergence evidence and exports.
For water-air transient filling, call fluentagi.configure_water_air(directory=task_directory,velocity=0.05,time_step=0.001,gravity_y=-9.81,inlet="inlet",outlet="outlet"). This backs up and sets laminar VOF, materials, phase-aware inlet/outlet, gravity and timestep; does NOT initialize or erase existing solution. For requested NEW filling use fluentagi.initialize_air(directory=task_directory), which saves a backup, hybrid initializes and patches phase-2 volume fraction to zero across all fluid cell zones. Never initialize_air on existing results without an explicit restart request. Fluent v242 contour fields are phase-2-vof (water, only after confirming phase-2=water-liquid) and phase-1-vof (air); do not confuse them. Query real contour field.allowed_values for VOF fields. For 3D interior contours/animation use section=fluentagi.create_section(axis="z",position=depth/2), then export_results(...,surfaces=[section["surface"]]) or record_animation(...,surfaces=[section["surface"]]). A plane section is not full volumetric rendering; report it accurately. Frames are 2..60. Each frame after the first advances steps_per_frame real time steps; final time is initial time+(frames-1)*steps_per_frame*time_step. Do not claim the pipe fills if the simulated duration is too short. Normalize typos like "二维四面体" by explaining 2D triangular equivalent; if depth/3D was explicitly requested, use volume tools.
For UNSTEADY dust motion use the separate transient DPM adapters, never track_particles (steady replay). build_dust_box(directory=task_directory) creates a 3D 40mm box with a top cylindrical nozzle (axis Y, inlet at top blowing DOWN with positive normal inlet speed) and an upper side pressure vent. Save existing case before reading its mesh_file. geometry parameters are SI and can be passed as named arguments. Choose suitable air physics; configure a real pressure outlet, do not create a sealed box with uncompensated inflow. configure_transient_dust(directory=task_directory,region_min=[.012,.003,.012],region_max=[.028,.004,.028],counts=[2,2,2],release_time=.02,release_duration=.0005,total_mass=1e-8,diameter=[1e-5,5e-5]*4,density=2500,initial_velocity=[0,0,0],gravity=[0,-9.81,0],time_step=.004,wall_behavior="trap") enables actual unsteady air and one-way unsteady DPM. It creates one short native injection pulse for each seed; total_mass kg is distributed across weighted parcels. It accepts explicit points instead of a region. The entire release pulse must fit inside one physical dt. Does NOT initialize. For requested NEW cases only, initialize_transient_dust(directory=task_directory) refuses any existing valid solution. Then advance_transient_dust(directory=task_directory,until_time=.2,max_iter_per_step=200,residual_tolerance=.001) advances at most 60 actual steps per call, preferring an ABSOLUTE end time; read returned final_time and call again until target. Already reached until_time does not advance again. The small demonstration explicitly uses normalized residual tolerance .001; honor stricter user requirements and never silently relax them. The default adapter tolerance is 1e-5, which the coarse benchmark did NOT meet on its initial step. Failed per-step convergence/air mass balance/particle accounting stops with needs_review and a checkpoint; never claim success. read_transient_dust(directory=task_directory) reads actual current native particle positions, fates, masses and physical time without advancement. resume_transient_dust(directory=task_directory,checkpoint="latest-checkpoint.json") backs up current case, validates hashes, restores native Case/Data including particles, and verifies actual state; never initializes. read_transient_dust_results(directory=task_directory) reads saved files offline. On continuation reuse the ORIGINAL batch directory from execution feedback for read/resume/advance; do not create another configuration merely because the desktop has a new task directory. Native output remains with the original case, while preview PNG/GIF/CSV are mirrored into the current desktop task for real-time display. Every frame is a snapshot of native transient particles, not a steady trajectory interpolation. Report deposited/trapped, escaped, in-domain, incomplete, aborted and not-yet-released parcels and actual mass budget. Caption all runs "预先释放悬浮颗粒，非积尘再悬浮". Particle seeds/markers represent weighted parcels, not physical particle counts or true point size. Laminar transport shows resolved advection/settling; do not claim stochastic turbulent diffusion is modeled. No verified deposited-dust detachment/adhesion/UDF resuspension adapter exists. Never add an upward initial velocity and call it resuspension. Preserve steady DPM as a distinct path.
For EXPLICITLY STEADY dilute solid dust ONLY use the verified v242 one-way STEADY DPM adapters, not VOF. First inspect_dpm(). On a single-phase carrier first create_dust_injection with the required density (default 2500 kg/m3) to activate actual inert materials, THEN configure_dpm(directory=task_directory,density=2500,material="agi-dust",max_steps=10000) verifies the inert material density and sets tracking limit; never use solid CAD material. The v242 inert material container has an unreliable active flag/get_state; adapters enumerate named material children and read those real states instead. Never query the entire inert material container. create_dust_injection(directory=task_directory,name="dust",start=[0.00001,0.003,0.01],end=[0.00001,0.017,0.01],streams=12,diameter=0.00005,mass_flow=0.0000001,velocity=[0.5,0,0],material="agi-dust") creates a real group injection. Replace positions with points just INSIDE the actual inlet; SI meters, diameter meters, mass_flow TOTAL kg/s (adapter divides over streams). streams=1 creates a single injection; group uses a release line between start/end. Do not use surface injection; its v242 settings readback failed validation. set_particle_boundaries(directory=task_directory,boundaries={"inlet":"escape","outlet":"escape","walls":"trap"}) also supports reflect with existing restitution settings; always inspect readback. Never silently change an existing multiphase or coupled DPM model. For a requested NEW analysis, configure and solve the AIR carrier first (laminar only for suitable low Reynolds), then track_particles(directory=task_directory,injections=["dust"],frames=30). This tracks native DPM trajectories, exports tracks.csv/json, native summary text, statistics and PNG/GIF. It does NOT initialize or advance the carrier. Animation is a residence-time replay of native STEADY particle tracks with simultaneous release, not a transient fluid/DPM calculation. Never use air pathlines or a continuous-phase contour as dust motion. Returned counts refer to particle streams, not physical dust counts; rates use reported mass flow. Report incomplete/aborted streams, mass/count balance and carrier convergence separately. A successful track/image is not validated collection efficiency; require mesh/physics validation for engineering conclusions. Preserve results; use a new injection name if its parameters change.
End with <final_answer>Chinese explanation of the intended changes, without claiming execution success</final_answer>.
If essential input or an incompatible session prevents a valid script, return only <question>the specific missing input in Chinese</question>.
After the desktop returns execution results, either provide a corrected script or return only <final_answer>a Chinese assessment supported by those results</final_answer>. Do not execute the same successful script again. Successful execution alone does not prove convergence.

Previous conversation and execution context (reference only; do not repeat successful scripts):
[{"assistant": "准备设计带双侧端板、主翼和襟翼的三维赛车前翼。请提供来流速度、前翼总宽和离地高度；如果只做演示，是否采用来流速度30 m/s、总宽1.2 m、离地高度0.1 m，并使用移动地面？这些参数会直接影响网格加密、流线动画及升阻力计算。", "run_directory": "C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142319-598cbb"}, {"user": "好的"}, {"assistant": "已确认采用30 m/s来流、1.2 m总宽、0.1 m离地高度和移动地面。但当前几何适配器仅声明支持 inlet、outlet、walls 三类边界，尚未确认能将前翼、地面和远场分别分组；这关系到移动地面设置及单独统计前翼升阻力。能否提供运行端支持独立壁面分组的能力反馈？否则无法可靠生成满足这些要求的完整脚本。", "run_directory": "C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142517-f253e1"}, {"user": "所有参数都是你来设计。"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_MODEL_ACTIVE False\\nREPAIRED_FRONT_WING_MESH {'files': ['C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\cad-d1bc89e9\\\\\\\\fluent.msh', 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\cad-d1bc89e9\\\\\\\\front-wing.step'], 'log': 'lane, Frontal-Delaunay)\\\\nInfo    : Done meshing 2D (Wall 0.31698s, CPU 0s)\\\\nInfo    : Meshing 3D...\\\\nInfo    : 3D Meshing 1 vol\n…中间日志已省略，完整日志保存在任务目录…\nS list_1 []\\nREPORT_drag_ARGUMENTS list_properties_1 ['object_name']\\nREPORT_drag_ARGUMENTS make_a_copy ['from_', 'to']\\nGRAPHICS_ACTIVE True\\nGRAPHICS_CHILDREN ['mesh', 'contour', 'vector', 'pathline', 'particle_track', 'lic', 'olic', 'volumes', 'contours', 'particle_tracks', 'colors', 'lighting', 'picture', 'views', 'windows', 'raytracing_options', 'pulse', 'periodic_instancing']\\nGRAPHICS_COMMANDS []\\nGRAPHICS_QUERIES []\\nGRAPHICS_pathline_ACTIVE False\\nGRAPHICS_pathline_CHILDREN []\\nGRAPHICS_pathline_COMMANDS ['delete', 'rename', 'list_1', 'list_properties_1', 'make_a_copy', 'display', 'copy', 'add_to_graphics', 'clear_history']\\nGRAPHICS_pathline_QUERIES []\\nGRAPHICS_pathline_ARGUMENTS delete ['name_list']\\nGRAPHICS_pathline_ARGUMENTS rename ['new', 'old']\\nGRAPHICS_pathline_ARGUMENTS list_1 []\\nGRAPHICS_pathline_ARGUMENTS list_properties_1 ['object_name']\\nGRAPHICS_pathline_ARGUMENTS make_a_copy ['from_', 'to']\\nGRAPHICS_pathline_ARGUMENTS display ['object_name']\\nGRAPHICS_pathline_ARGUMENTS copy ['from_name', 'new_name']\\nGRAPHICS_pathline_ARGUMENTS add_to_graphics ['object_name']\\nGRAPHICS_pathline_ARGUMENTS clear_history ['object_name']\\nDESIGN {'velocity': 30.0, 'span': 1.2, 'main_chord': 0.32, 'flap_chord': 0.14, 'main_angle': 8.0, 'flap_angle': 20.0, 'endplate_clearance': 0.1, 'maximum_volume_cells': 180000}\\nSTAGE mesh_repair_and_native_interface_readback\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"SOLVER_STATE {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'steady'}\\nWALL_ZONES ['walls']\\nINLET_ZONES ['inlet']\\nOUTLET_ZONES ['outlet']\\nMESH_CHILDREN ['adapt', 'anisotropic_adaption', 'check_before_solve', 'check_verbosity', 'enhanced_orthogonal_quality', 'matching_tolerance', 'modify_zones', 'show_periodic_shadow_zones', 'reorder', 'repair_improve', 'surface_mesh', 'polyhedra', 'wall_distance_method']\\nMESH_COMMANDS ['adjacency', 'c\n…中间日志已省略，完整日志保存在任务目录…\n-kl-w', 'transition-sst', 'reynolds-stress', 'scale-adaptive-simulation', 'detached-eddy-simulation', 'large-eddy-simulation']\\nVISCOUS_CHILDREN ['model', 'spalart_allmaras_production', 'k_epsilon_model', 'k_omega_model', 'k_omega_options', 'geko_options', 'rng_options', 'near_wall_treatment', 'reynolds_stress_model', 'subgrid_scale_model', 'les_model_options', 'reynolds_stress_options', 'rans_model', 'des_options', 'transition_module', 'hybrid_rans_les', 'sbes_options', 'user_defined_transition', 'options', 'multiphase_turbulence', 'turbulence_expert', 'transition_model_options', 'transition_sst_option', 'user_defined', 'sa_enhanced_wall_treatment', 'sa_damping']\\nRUN_CALCULATION_STATE {'pseudo_time_settings': {'verbosity': 0, 'time_step_method': {'time_step_method': 'automatic', 'length_scale_methods': 'conservative', 'time_step_size_scale_factor': 1.0}}, 'iter_count': 0, 'reporting_interval': 1, 'profile_update_interval': 1, 'data_sampling': {'enabled': False}}\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_boundary_force_interface.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,     4 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE boundary_separation_and_force_field_readback\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"WALL_ZONES ['walls']\\nITERATION_COUNT 0\\nMODIFY_ZONE_CHILDREN []\\nSEPARATION_COMMAND_NAMES ['sep_cell_zone_mark', 'sep_cell_zone_region', 'sep_face_zone_angle', 'sep_face_zone_face', 'sep_face_zone_mark', 'sep_face_zone_region']\\nSEPARATION_COMMAND sep_cell_zone_mark ['cell_zone_name', 'register', 'move_faces']\\nSEPARATION_ARGUMENT sep_cell_zone_mark cell_zone_name []\\nSEPARATION_ARGUMENT sep_cell_zone_mark register []\\nSEPARATION_ARGUMENT sep_cell_zone_mark mov\n…中间日志已省略，完整日志保存在任务目录…\nGUMENT sep_face_zone_mark face_zone_name []\\nSEPARATION_ARGUMENT sep_face_zone_mark register_name []\\nSEPARATION_ARGUMENT sep_face_zone_mark move_faces []\\nSEPARATION_COMMAND sep_face_zone_region ['face_zone_name', 'move_faces']\\nSEPARATION_ARGUMENT sep_face_zone_region face_zone_name []\\nSEPARATION_ARGUMENT sep_face_zone_region move_faces []\\nFORCE_DEFINITION front_wing_drag_interface {'name': 'front_wing_drag_interface', 'force_vector': [1, 0, 0], 'reference_frame': 'global', 'zones': None, 'per_zone': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nFORCE_DEFINITION front_wing_lift_interface {'name': 'front_wing_lift_interface', 'force_vector': [0.0, 1.0, 0.0], 'reference_frame': 'global', 'zones': None, 'per_zone': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nMOVING_WALL_FIELDS ['wall_motion', 'speed', 'rotation_speed', 'rotation_axis_direction', 'direction', 'velocity_components']\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_separation_arguments.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,     4 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE targeted_boundary_separation_arguments\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_WALL_ZONES ['walls']\\nCURRENT_ITERATIONS 0\\nCURRENT_MODELS {'model': 'k-omega', 'k_omega_model': 'sst', 'k_omega_options': {'kw_low_re_correction': False}, 'near_wall_treatment': {'wall_omega_treatment': 'correlation'}, 'transition_module': 'none', 'options': {'curvature_correction': False, 'corner_flow_correction': False, 'production_kato_launder_enabled': False, 'production_limiter': {'enabled': True, 'clip_factor': 10.0}}, 'turbulence_expert': {'turb_\n…中间日志已省略，完整日志保存在任务目录…\n-vertexavg', 'surface-vertexmax', 'surface-vertexmin', 'surface-volumeflowrate']\\nCOORDINATE_REPORT_OPTIONS surface_names ['walls:011', 'walls:012', 'walls:013', 'walls:014', 'walls:015', 'walls:016', 'walls:017', 'walls:018', 'walls:019', 'walls:020', 'walls:021', 'walls:022', 'walls:023', 'walls:024', 'walls:025', 'walls:007:008', 'walls:007:009', 'walls:007:010', 'walls:007', 'inlet', 'outlet', 'walls']\\nWALL_MOTION_OPTIONS ['Stationary Wall', 'Moving Wall']\\nWALL_MOMENTUM_FIELDS ['wall_motion', 'moving', 'relative', 'rotating', 'components', 'speed', 'rotation_speed', 'rotation_axis_origin', 'rotation_axis_direction', 'direction', 'velocity_components', 'shear_condition', 'fsi_interface', 'periodic_displacement', 'periodic_imaginary_displacement', 'frequency', 'amplitude', 'nodal_diam', 'passage_number', 'fwd', 'aero', 'cmplx', 'norm', 'method', 'shear_stress', 'fslip', 'eslip', 'surface_tension_gradient', 'specified_shear', 'specularity_coeff', 'mom_accommodation_coeff']\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_partitioned_air_setup.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,    23 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE native_wall_partition_and_air_setup\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
Runtime capabilities:
{"protocol": "FluentAGI-capabilities-v1", "session": {"connected": true, "mode": "launch"}, "geometry": {"worker": "gmsh isolated process", "imports": [], "builtins": ["range", "len", "int", "float", "str", "list", "tuple", "enumerate", "zip", "min", "max", "abs", "round", "RuntimeError", "ValueError", "print", "set", "sum", "sorted", "bool", "all", "any"], "physical_groups": ["inlet", "outlet", "walls"], "cell_types": ["triangle", "quadrilateral", "tetrahedron", "hexahedron", "prism", "pyramid"]}, "script": {"imports": ["math", "json", "itertools", "functools", "collections", "dataclasses", "typing"], "adapters": ["build_dust_box", "configure_transient_dust", "initialize_transient_dust", "read_transient_dust", "advance_transient_dust", "resume_transient_dust", "read_transient_dust_results", "inspect_dpm", "configure_dpm", "create_dust_injection", "set_particle_boundaries", "track_particles", "build_planar", "build_volume", "build_extruded", "geometry_mesh", "configure_water_air", "initialize_air", "record_animation", "export_results", "assign_phase_materials", "assign_multiphase_materials", "configure_three_phase_materials", "audit_multiphase_interfaces", "configure_evaporation_condensation", "inspect_phase_change", "configure_surface_tension", "inspect_surface_tension"]}, "generated_at": 1792304747.7744308, "phase_change": {"version": "v242", "model": "Lee", "adapter_multiphase_models": ["vof"], "mixture_officially_available": true, "mixture_adapter_validated": false, "two_phase_2d_correction_runtime_validation": "pending", "automatic_model_switch": false, "phases": [2, 3], "saturation": "constant K", "frequencies": "positive finite 1/s", "mass_transfer_pairs": 1, "internal_official_tui": true, "generated_direct_tui": false, "readback": "unique case snapshot", "initializes": false}, "surface_tension": {"version": "v242/v252", "runtime_validation": {"v242": "previous native validation", "v252": "official command and generated SDK checked; customer runtime readback required"}, "model": "VOF", "coefficient": "nonnegative finite N/m", "preserves_other_pairs": true, "readback": "unique case snapshot", "initializes": false}, "transient_dpm": {"version": "v242", "model": "unsteady single-phase carrier + transient one-way inert DPM", "release": "one short native pulse per explicit point / region grid, max 64 weighted parcels", "chunk_steps": 60, "positions": "native current positions at actual physical time; never steady replay", "checkpoint": "unique Case/Data plus SHA256 and particle-state readback", "acceptance": "each-step residuals, native air mass flux, particle mass/count fate closure", "default_residual_tolerance": 1e-05, "benchmark_residual_tolerance": 0.001, "strict_1e_5_initial_step_validated": false, "resuspension_validated": false, "stochastic_turbulent_dispersion_validated": false}, "dpm": {"version": "v242", "carrier": "single phase, one-way, steady inert dust", "injection_types": ["single", "group"], "surface_injection_validated": false, "boundary_types": ["reflect", "trap", "escape"], "trajectory_source": "native GetParticleTracksField RPC", "animation": "steady DPM trajectory residence-time replay, no carrier advance", "transient_dpm_validated": false, "two_way_validated": false, "readback": true, "active": false}, "fluent_version": "Ansys Fluent 2024 R2", "model_active": false}
Current session:
{"connected": true, "dimension": 3, "mode": "solver", "owned": true, "continuation": true}
Task directory:
C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261018-142547-90d0a4
Current request:
所有参数都是你来设计。
Desktop execution feedback:
[{"action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142547-90d0a4\"\ns = solver.settings\n\nif not s.setup.models.is_active():\n    raise RuntimeError(\"当前网格未激活。\")\n\nbc = s.setup.boundary_conditions\nprint(\"CURRENT_WALL_ZONES\", bc.wall.get_object_names())\nprint(\"CURRENT_ITERATIONS\", s.solution.run_calculation.iter_count.get_state())\nprint(\"CURRENT_MODELS\", s.setup.models.viscous.get_state())\n\ns.file.write_case(\n    file_name=task_directory + r\"\\before_front_wing_wall_separation.cas.h5\"\n)\n\nmodify = s.mesh.modify_zones\nwall_names = bc.wall.get_object_names()\nif wall_names == [\"walls\"]:\n    print(\n        \"REGION_SEPARATION\",\n        modify.sep_face_zone_region(\n            face_zone_name=\"walls\",\n            move_faces=True,\n        ),\n    )\n    region_names = bc.wall.get_object_names()\n    print(\"CONNECTED_WALL_REGIONS\", region_names)\n    for name in region_names:\n        print(\n            \"ANGLE_SEPARATION\",\n            name,\n            modify.sep_face_zone_angle(\n                face_zone_name=name,\n                angle=45.0,\n                move_faces=True,\n            ),\n        )\nelse:\n    print(\"EXISTING_PARTITIONS_PRESERVED\", wall_names)\n\nprint(\"SEPARATED_WALL_ZONES\", bc.wall.get_object_names())\ns.mesh.check()\ns.file.write_case(\n    file_name=task_directory + r\"\\front_wing_separated_walls.cas.h5\"\n)\n\ns.setup.general.solver.type = \"pressure-based\"\ns.setup.models.viscous.model = \"k-omega\"\ns.setup.models.viscous.k_omega_model = \"sst\"\ns.setup.models.energy.enabled = False\ns.setup.general.operating_conditions.gravity.enable = False\n\nmaterials = s.setup.materials\nif \"air\" not in materials.fluid.get_object_names():\n    materials.database.copy_by_name(type=\"fluid\", name=\"air\")\nair = materials.fluid[\"air\"]\nfor name, value in [\n    (\"density\", 1.225),\n    (\"viscosity\", 1.7894e-5),\n]:\n    getattr(air, name).set_state({\"option\": \"constant\", \"value\": value})\n\nfluid_zones = s.setup.cell_zone_conditions.fluid\nfor name in fluid_zones.get_object_names():\n    fluid_zones[name].general.material = \"air\"\n\ninlet = bc.velocity_inlet[\"inlet\"]\ninlet.momentum.velocity.set_state({\"option\": \"value\", \"value\": 30.0})\noutlet = bc.pressure_outlet[\"outlet\"]\noutlet.momentum.gauge_pressure.set_state({\"option\": \"value\", \"value\": 0.0})\nprint(\"INLET_TURBULENCE\", inlet.turbulence.get_state())\nprint(\"INLET_TURBULENCE_FIELDS\", getattr(inlet.turbulence, \"child_names\", []))\nprint(\"OUTLET_TURBULENCE\", outlet.turbulence.get_state())\n\nsurface_reports = s.solution.report_definitions.surface\nreport_name = \"front_wing_coordinate_interface\"\nif report_name not in surface_reports.get_object_names():\n    surface_reports[report_name] = {}\nreport = surface_reports[report_name]\nprint(\"COORDINATE_REPORT_STATE\", report.get_state())\nprint(\"COORDINATE_REPORT_FIELDS\", getattr(report, \"child_names\", []))\nfor name in getattr(report, \"child_names\", []):\n    child = getattr(report, name)\n    if child.is_active() and hasattr(child, \"allowed_values\"):\n        if name in [\"report_type\", \"surface_names\", \"zones\"]:\n            print(\"COORDINATE_REPORT_OPTIONS\", name, child.allowed_values())\n\nwall_names = bc.wall.get_object_names()\nif wall_names:\n    momentum = bc.wall[wall_names[0]].momentum\n    print(\"WALL_MOTION_OPTIONS\", momentum.wall_motion.allowed_values())\n    print(\"WALL_MOMENTUM_FIELDS\", getattr(momentum, \"child_names\", []))\n\ns.file.write_case(\n    file_name=task_directory + r\"\\front_wing_partitioned_air_setup.cas.h5\"\n)\nprint(\"STAGE\", \"native_wall_partition_and_air_setup\")"}}, "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_WALL_ZONES ['walls']\\nCURRENT_ITERATIONS 0\\nCURRENT_MODELS {'model': 'k-omega', 'k_omega_model': 'sst', 'k_omega_options': {'kw_low_re_correction': False}, 'near_wall_treatment': {'wall_omega_treatment': 'correlation'}, 'transition_module': 'none', 'options': {'curvature_correction': False, 'corner_flow_correction': False, 'production_kato_launder_enabled': False, 'production_limiter': {'enabled': True, 'clip_factor': 10.0}}, 'turbulence_expert': {'turb_non_newtonian': False, 'restore_sst_v61': False}, 'user_defined': {'turb_visc_func': 'none'}}\\n\\nWriting t\n…中间日志已省略，完整日志保存在任务目录…\ny_algorithm', 'number_of_fourier_modes', 'number_of_vortices', 'streamwise_fluctuations', 'satisfy_mass_conservation', 'scale_search_limiter', 'stg_turbulent_intensity', 'stg_turbulent_viscosity_ratio', 'wall_distance', 'volumetric_forcing', 'forcing_zone_thickness', 'volumetric_thickness', 'turbulence_specification', 'modified_turbulent_viscosity', 'laminar_kinetic_energy', 'intermittency', 'turbulent_kinetic_energy', 'turbulent_dissipation_rate', 'specific_dissipation_rate', 'velocity_variance_scale', 'turbulent_intensity', 'turbulent_length_scale', 'hydraulic_diameter', 'turbulent_viscosity_ratio', 'turbulent_viscosity_ratio_profile', 'reynolds_stress_specification', 'uu_reynolds_stresses', 'vv_reynolds_stresses', 'ww_reynolds_stresses', 'uv_reynolds_stresses', 'vw_reynolds_stresses', 'uw_reynolds_stresses', 'subgrid_kinetic_energy_specification', 'subgrid_kinetic_energy', 'subgrid_turbulent_intensity']\\nOUTLET_TURBULENCE {'turbulence_specification': 'Intensity and Viscosity Ratio', 'backflow_turbulent_intensity': 0.05, 'backflow_turbulent_viscosity_ratio': 10}\\nCOORDINATE_REPORT_STATE {'name': 'front_wing_coordinate_interface', 'report_type': 'surface-area', 'surface_names': None, 'per_surface': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nCOORDINATE_REPORT_FIELDS ['name', 'report_type', 'field', 'surface_names', 'per_surface', 'average_over', 'retain_instantaneous_values', 'custom_vector', 'phase', 'physics', 'geometry', 'surfaces', 'output_parameter']\\nCOORDINATE_REPORT_OPTIONS report_type ['surface-area', 'surface-areaavg', 'surface-vectbasedflux', 'surface-vectflux', 'surface-vectwtavg', 'surface-facetavg', 'surface-facetmax', 'surface-facetmin', 'surface-flowrate', 'surface-integral', 'surface-massflowrate', 'surface-massavg', 'surface-stddev', 'surface-sum', 'surface-areawtui', 'surface-masswtui', 'surface-vertexavg', 'surface-vertexmax', 'surface-vertexmin', 'surface-volumeflowrate']\\nCOORDINATE_REPORT_OPTIONS surface_names ['walls:011', 'walls:012', 'walls:013', 'walls:014', 'walls:015', 'walls:016', 'walls:017', 'walls:018', 'walls:019', 'walls:020', 'walls:021', 'walls:022', 'walls:023', 'walls:024', 'walls:025', 'walls:007:008', 'walls:007:009', 'walls:007:010', 'walls:007', 'inlet', 'outlet', 'walls']\\nWALL_MOTION_OPTIONS ['Stationary Wall', 'Moving Wall']\\nWALL_MOMENTUM_FIELDS ['wall_motion', 'moving', 'relative', 'rotating', 'components', 'speed', 'rotation_speed', 'rotation_axis_origin', 'rotation_axis_direction', 'direction', 'velocity_components', 'shear_condition', 'fsi_interface', 'periodic_displacement', 'periodic_imaginary_displacement', 'frequency', 'amplitude', 'nodal_diam', 'passage_number', 'fwd', 'aero', 'cmplx', 'norm', 'method', 'shear_stress', 'fslip', 'eslip', 'surface_tension_gradient', 'specified_shear', 'specularity_coeff', 'mom_accommodation_coeff']\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_partitioned_air_setup.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,    23 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE native_wall_partition_and_air_setup\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"failed_action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\nimport math\n\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142547-90d0a4\"\ns = solver.settings\n\ndef checked(label, result):\n    print(label, result)\n    if isinstance(result, dict):\n        if result.get(\"status\") in (\"error\", \"failed\", \"needs_review\"):\n            raise RuntimeError(str(result))\n        if result.get(\"error\") or result.get(\"errors\"):\n            raise RuntimeError(str(result))\n    return result\n\ndef numbers(value):\n    if isinstance(value, bool):\n        return []\n    if isinstance(value, (int, float)):\n        return [float(value)]\n    if isinstance(value, dict):\n        result = []\n        for child in value.values():\n            result.extend(numbers(child))\n        return result\n    if isinstance(value, (list, tuple)):\n        result = []\n        for child in value:\n            result.extend(numbers(child))\n        return result\n    return []\n\ndef report_value(result, name):\n    if isinstance(result, dict):\n        if name in result:\n            values = numbers(result[name])\n            if values and math.isfinite(values[0]):\n                return values[0]\n        for child in result.values():\n            try:\n                return report_value(child, name)\n            except ValueError:\n                pass\n    elif isinstance(result, (list, tuple)):\n        for child in result:\n            try:\n                return report_value(child, name)\n            except ValueError:\n                pass\n    raise ValueError(\"无法提取报告值：\" + name + \"；实际返回：\" + str(result))\n\ndef scalar(setting, value):\n    state = setting.get_state()\n    if isinstance(state, dict):\n        if \"value\" not in state:\n            raise RuntimeError(\"无法识别数值字段：\" + str(state))\n        update = {\"value\": value}\n        if \"option\" in state:\n            update[\"option\"] = \"value\"\n        setting.set_state(update)\n    else:\n        setting.set_state(value)\n\ndef vector(setting, values):\n    state = setting.get_state()\n    if isinstance(state, (list, tuple)):\n        setting.set_state(values)\n    elif isinstance(state, dict):\n        keys = list(state)\n        groups = [\n            [\"x\", \"y\", \"z\"],\n            [\"x_component\", \"y_component\", \"z_component\"],\n        ]\n        matched = False\n        for group in groups:\n            if all(key in keys for key in group):\n                for key, value in zip(group, values):\n                    scalar(getattr(setting, key), value)\n                matched = True\n                break\n        if not matched:\n            raise RuntimeError(\"无法识别矢量字段：\" + str(state))\n    else:\n        raise RuntimeError(\"无法识别矢量字段：\" + str(state))\n\nif not s.setup.models.is_active():\n    raise RuntimeError(\"当前网格未激活。\")\n\nbc = s.setup.boundary_conditions\nwall_names = bc.wall.get_object_names()\nprint(\"CURRENT_WALL_ZONES\", wall_names)\nprint(\"CURRENT_SOLVER\", s.setup.general.solver.get_state())\niteration_start = s.solution.run_calculation.iter_count.get_state()\nprint(\"INITIAL_ITERATION_COUNT\", iteration_start)\n\ns.file.write_case(\n    file_name=task_directory + r\"\\before_front_wing_coordinate_setup.cas.h5\"\n)\n\nsurface_reports = s.solution.report_definitions.surface\nprobe_names = []\nfor axis in [\"x\", \"y\", \"z\"]:\n    for suffix, report_type in [\n        (\"min\", \"surface-vertexmin\"),\n        (\"max\", \"surface-vertexmax\"),\n    ]:\n        name = \"fw_bound_\" + axis + \"_\" + suffix\n        if name not in surface_reports.get_object_names():\n            surface_reports[name] = {}\n        report = surface_reports[name]\n        report.report_type = report_type\n        allowed = report.field.allowed_values()\n        field = axis + \"-coordinate\"\n        if field not in allowed:\n            raise RuntimeError(\"坐标字段不可用：\" + field)\n        report.field = field\n        probe_names.append(name)\n\nbounds = {}\nfor zone in wall_names:\n    for name in probe_names:\n        surface_reports[name].surface_names = [zone]\n    result = s.solution.report_definitions.compute(report_defs=probe_names)\n    values = [report_value(result, name) for name in probe_names]\n    bounds[zone] = values\n    print(\"WALL_BOUNDS\", zone, values)\n\nwing = []\nground = []\nfarfield = []\nfor zone, b in bounds.items():\n    xmin, xmax, ymin, ymax, zmin, zmax = b\n    if max(abs(ymin), abs(ymax)) < 1e-5:\n        ground.append(zone)\n    elif (\n        xmin > -0.031 and xmax < 0.491\n        and ymin > 0.089 and ymax < 0.351\n        and zmin > -0.619 and zmax < 0.619\n    ):\n        wing.append(zone)\n    else:\n        farfield.append(zone)\n\nprint(\"BOUNDARY_CLASSIFICATION\", {\n    \"wing\": wing,\n    \"ground\": ground,\n    \"farfield\": farfield,\n})\nif not wing or len(ground) != 1 or len(farfield) != 3:\n    raise RuntimeError(\"边界分类与设计不符，停止求解并保留网格。\")\n\nfor zone in wing + ground:\n    bc.wall[zone].momentum.shear_condition = \"No Slip\"\n    bc.wall[zone].momentum.wall_motion = \"Stationary Wall\"\n\nmomentum = bc.wall[ground[0]].momentum\nmomentum.wall_motion = \"Moving Wall\"\nfor name, value in [\n    (\"relative\", False),\n    (\"rotating\", False),\n    (\"components\", False),\n]:\n    child = getattr(momentum, name)\n    if child.is_active():\n        child.set_state(value)\nscalar(momentum.speed, 30.0)\nvector(momentum.direction, [1.0, 0.0, 0.0])\nprint(\"MOVING_GROUND_READBACK\", momentum.get_state())\n\nfor zone in farfield:\n    momentum = bc.wall[zone].momentum\n    momentum.wall_motion = \"Stationary Wall\"\n    momentum.shear_condition = \"Specified Shear\"\n    print(\"SLIP_OUTER_BOUNDARY\", zone, momentum.get_state())\n\ninlet = bc.velocity_inlet[\"inlet\"]\noutlet = bc.pressure_outlet[\"outlet\"]\nscalar(inlet.momentum.velocity, 30.0)\nscalar(outlet.momentum.gauge_pressure, 0.0)\ninlet.turbulence.turbulence_specification = \"Intensity and Viscosity Ratio\"\nscalar(inlet.turbulence.turbulent_intensity, 0.01)\nscalar(inlet.turbulence.turbulent_viscosity_ratio, 10.0)\nprint(\"INLET_TURBULENCE_READBACK\", inlet.turbulence.get_state())\n\nforce_names = []\nfor name, direction in [\n    (\"front_wing_drag_interface\", [1.0, 0.0, 0.0]),\n    (\"front_wing_lift_interface\", [0.0, 1.0, 0.0]),\n]:\n    report = s.solution.report_definitions.force[name]\n    report.force_vector = direction\n    report.zones = wing\n    force_names.append(name)\n    print(\"WING_FORCE_READBACK\", name, report.get_state())\n\nfor name, zone in [(\"fw_inlet_mass\", \"inlet\"), (\"fw_outlet_mass\", \"outlet\")]:\n    if name not in surface_reports.get_object_names():\n        surface_reports[name] = {}\n    report = surface_reports[name]\n    report.report_type = \"surface-massflowrate\"\n    report.surface_names = [zone]\n\ns.file.write_case(\n    file_name=task_directory + r\"\\front_wing_ready_to_solve.cas.h5\"\n)\nprint(\"RESIDUAL_CONFIGURATION\", s.solution.monitor.residual.get_state())\n\nif iteration_start != 0:\n    raise RuntimeError(\"检测到已有迭代结果；保留结果，停止首次初始化流程。\")\n\ns.setup.general.solver.time = \"steady\"\ns.solution.initialization.hybrid_initialize()\ns.file.start_transcript(\n    file_name=task_directory + r\"\\front_wing_flow_and_forces.trn\"\n)\ntry:\n    for block in range(6):\n        s.solution.run_calculation.iterate(iter_count=50)\n        result = s.solution.report_definitions.compute(report_defs=force_names)\n        drag = report_value(result, force_names[0])\n        lift = report_value(result, force_names[1])\n        dynamic_force = 0.5 * 1.225 * 30.0**2 * (1.2 * 0.46)\n        print(\"STEADY_FORCE_HISTORY\", {\n            \"iteration\": s.solution.run_calculation.iter_count.get_state(),\n            \"drag\": drag,\n            \"lift\": lift,\n            \"downforce\": -lift,\n            \"CD\": drag / dynamic_force,\n            \"CL\": lift / dynamic_force,\n        })\n\n    s.file.write_case_data(\n        file_name=task_directory + r\"\\front_wing_steady_checkpoint.cas.h5\"\n    )\n    section = checked(\n        \"CENTRAL_SECTION\",\n        fluentagi.create_section(axis=\"z\", position=0.0),\n    )\n    s.setup.general.solver.time = \"unsteady-2nd-order\"\n    s.solution.run_calculation.transient_controls.time_step_size = 0.0005\n    checked(\n        \"VELOCITY_SECTION_ANIMATION\",\n        fluentagi.record_animation(\n            directory=task_directory,\n            field=\"velocity-magnitude\",\n            frames=41,\n            steps_per_frame=5,\n            max_iter_per_step=40,\n            surfaces=[section[\"surface\"]],\n        ),\n    )\n    print(\n        \"FINAL_FORCES\",\n        s.solution.report_definitions.compute(report_defs=force_names),\n    )\n    print(\n        \"BOUNDARY_MASS_FLOW\",\n        s.solution.report_definitions.compute(\n            report_defs=[\"fw_inlet_mass\", \"fw_outlet_mass\"]\n        ),\n    )\n    checked(\n        \"FINAL_SECTION_EXPORT\",\n        fluentagi.export_results(\n            directory=task_directory,\n            fields=[\"pressure\", \"velocity-magnitude\"],\n            surfaces=[section[\"surface\"]],\n        ),\n    )\n    paths = s.results.graphics.pathline\n    if paths.is_active():\n        path_name = \"front_wing_streamlines\"\n        if path_name not in paths.get_object_names():\n            paths[path_name] = {}\n        path = paths[path_name]\n        print(\"STREAMLINE_FIELDS\", getattr(path, \"child_names\", []))\n        print(\"STREAMLINE_STATE\", path.get_state())\nfinally:\n    s.file.stop_transcript()\n    s.file.write_case_data(\n        file_name=task_directory + r\"\\front_wing_flow_checkpoint.cas.h5\"\n    )\n\nprint(\"REFERENCE_AREA\", 1.2 * 0.46)\nprint(\"ANIMATION_PLANNED_DURATION\", 0.1)\nprint(\"VALIDATION\", {\n    \"all_steps_convergence_verified\": False,\n    \"mesh_independence_verified\": False,\n    \"near_wall_resolution_verified\": False,\n    \"streamline_export_verified\": False,\n})"}}, "error": "{\"status\": \"error\", \"stdout\": \"CURRENT_WALL_ZONES ['walls:011', 'walls:012', 'walls:013', 'walls:014', 'walls:015', 'walls:016', 'walls:017', 'walls:018', 'walls:019', 'walls:020', 'walls:021', 'walls:022', 'walls:023', 'walls:024', 'walls:025', 'walls:007:008', 'walls:007:009', 'walls:007:010', 'walls:007', 'walls']\\nCURRENT_SOLVER {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'steady'}\\nINITIAL_ITERATION_COUNT 0\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\before_front_wing_coordinate_setup.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,    23 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\n\", \"stderr\": \"\\nTraceback (most recent call last):\\n  File \\\"ansys\\\\fluent\\\\mcp\\\\solve\\\\backends\\\\pyfluent.py\\\", line 2793, in _do\\n    exec(  # noqa: S102  # nosec B102\\n  File \\\"<mcp>\\\", line 123, in <module>\\n  File \\\"ansys\\\\fluent\\\\core\\\\solver\\\\flobject.py\\\", line 1892, in __call__\\n    raise InactiveObjectError(self.python_path)\\nansys.fluent.core.solver.flobject.InactiveObjectError: '<session>.solution.report_definitions.compute' is currently inactive.\\n\", \"return_value\": null, \"message\": \"'<session>.solution.report_definitions.compute' is currently inactive.\", \"error_code\": \"execution_error\", \"warnings\": []}", "note": "可能有部分操作已生效，请先检查实时状态，修复后继续。"}]
【ChatGPT 回复】
ChatGPT 说：

报错原因是未初始化时报告计算命令不可用，尚未开始迭代。本次在现有新模型上先完成一次初始化，再识别壁面并设置边界，随后求解；保留已有网格和分区。

<fluent_code>
```python
# Use the existing connected PyFluent variable solver.
import math

task_directory = r"C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261018-142547-90d0a4"
s = solver.settings

def checked(label, result):
    print(label, result)
    if isinstance(result, dict):
        if result.get("status") in ("error", "failed", "needs_review"):
            raise RuntimeError(str(result))
        if result.get("error") or result.get("errors"):
            raise RuntimeError(str(result))
    return result

def numbers(value):
    if isinstance(value, bool):
        return []
    if isinstance(value, (int, float)):
        return [float(value)]
    if isinstance(value, dict):
        return [number for child in value.values() for number in numbers(child)]
    if isinstance(value, (list, tuple)):
        return [number for child in value for number in numbers(child)]
    return []

def report_value(result, name):
    if isinstance(result, dict):
        if name in result:
            values = numbers(result[name])
            if values and math.isfinite(values[0]):
                return values[0]
        children = result.values()
    elif isinstance(result, (list, tuple)):
        children = result
    else:
        children = []
    for child in children:
        try:
            return report_value(child, name)
        except ValueError:
            pass
    raise ValueError("无法提取报告值：" + name + "；返回：" + str(result))

def scalar(setting, value):
    state = setting.get_state()
    if isinstance(state, dict):
        if "value" not in state:
            raise RuntimeError("无法识别数值字段：" + str(state))
        update = {"value": value}
        if "option" in state:
            update["option"] = "value"
        setting.set_state(update)
    else:
        setting.set_state(value)

def vector(setting, values):
    state = setting.get_state()
    if isinstance(state, (list, tuple)):
        setting.set_state(values)
        return
    if isinstance(state, dict):
        for keys in [
            ["x", "y", "z"],
            ["x_component", "y_component", "z_component"],
            ["i", "j", "k"],
        ]:
            if all(key in state for key in keys):
                for key, value in zip(keys, values):
                    scalar(getattr(setting, key), value)
                return
    raise RuntimeError("无法识别矢量字段：" + str(state))

if not s.setup.models.is_active():
    raise RuntimeError("当前网格未激活。")

bc = s.setup.boundary_conditions
reports = s.solution.report_definitions
wall_names = bc.wall.get_object_names()
initial_iteration = s.solution.run_calculation.iter_count.get_state()
print("CURRENT_STATE", {
    "walls": wall_names,
    "iterations": initial_iteration,
    "solver": s.setup.general.solver.get_state(),
    "compute_active": reports.compute.is_active(),
})
s.file.write_case(
    file_name=task_directory + r"\before_report_activation_repair.cas.h5"
)

if not reports.compute.is_active():
    if initial_iteration != 0:
        raise RuntimeError("已有迭代但报告不可用，停止以保护结果。")
    s.solution.initialization.hybrid_initialize()
    print("INITIALIZATION_PERFORMED", True)
else:
    print("EXISTING_INITIALIZED_STATE_PRESERVED", True)

if not reports.compute.is_active():
    raise RuntimeError("初始化后报告计算仍不可用。")

surface_reports = reports.surface
probe_names = []
for axis in ["x", "y", "z"]:
    for suffix, kind in [
        ("min", "surface-vertexmin"),
        ("max", "surface-vertexmax"),
    ]:
        name = "fw_bound_" + axis + "_" + suffix
        if name not in surface_reports.get_object_names():
            surface_reports[name] = {}
        report = surface_reports[name]
        report.report_type = kind
        field = axis + "-coordinate"
        if field not in report.field.allowed_values():
            raise RuntimeError("坐标字段不可用：" + field)
        report.field = field
        probe_names.append(name)

bounds = {}
for zone in wall_names:
    for name in probe_names:
        surface_reports[name].surface_names = [zone]
    result = reports.compute(report_defs=probe_names)
    bounds[zone] = [report_value(result, name) for name in probe_names]
    print("WALL_BOUNDS", zone, bounds[zone])

wing, ground, farfield = [], [], []
for zone, bound in bounds.items():
    xmin, xmax, ymin, ymax, zmin, zmax = bound
    if max(abs(ymin), abs(ymax)) < 1e-5:
        ground.append(zone)
    elif (
        xmin > -0.031 and xmax < 0.491
        and ymin > 0.089 and ymax < 0.351
        and zmin > -0.619 and zmax < 0.619
    ):
        wing.append(zone)
    else:
        farfield.append(zone)

print("CLASSIFICATION", {"wing": wing, "ground": ground, "farfield": farfield})
if not wing or len(ground) != 1 or len(farfield) != 3:
    raise RuntimeError("边界分类与设计不符。")

for zone in wing + ground:
    momentum = bc.wall[zone].momentum
    momentum.shear_condition = "No Slip"
    momentum.wall_motion = "Stationary Wall"

momentum = bc.wall[ground[0]].momentum
momentum.wall_motion = "Moving Wall"
for name in ["relative", "rotating", "components"]:
    child = getattr(momentum, name)
    if child.is_active():
        child.set_state(False)
scalar(momentum.speed, 30.0)
vector(momentum.direction, [1.0, 0.0, 0.0])
print("GROUND_READBACK", momentum.get_state())

for zone in farfield:
    momentum = bc.wall[zone].momentum
    momentum.wall_motion = "Stationary Wall"
    momentum.shear_condition = "Specified Shear"
    print("OUTER_WALL_READBACK", zone, momentum.get_state())

inlet = bc.velocity_inlet["inlet"]
outlet = bc.pressure_outlet["outlet"]
scalar(inlet.momentum.velocity, 30.0)
scalar(outlet.momentum.gauge_pressure, 0.0)
inlet.turbulence.turbulence_specification = "Intensity and Viscosity Ratio"
scalar(inlet.turbulence.turbulent_intensity, 0.01)
scalar(inlet.turbulence.turbulent_viscosity_ratio, 10.0)

force_names = []
for name, direction in [
    ("front_wing_drag_interface", [1.0, 0.0, 0.0]),
    ("front_wing_lift_interface", [0.0, 1.0, 0.0]),
]:
    if name not in reports.force.get_object_names():
        reports.force[name] = {}
    report = reports.force[name]
    report.force_vector = direction
    report.zones = wing
    force_names.append(name)
    print("FORCE_SCOPE", name, report.get_state())

mass_names = []
for name, zone in [("fw_inlet_mass", "inlet"), ("fw_outlet_mass", "outlet")]:
    if name not in surface_reports.get_object_names():
        surface_reports[name] = {}
    surface_reports[name].report_type = "surface-massflowrate"
    surface_reports[name].surface_names = [zone]
    mass_names.append(name)

s.file.write_case_data(
    file_name=task_directory + r"\front_wing_boundary_repair_ready.cas.h5"
)
if initial_iteration != 0:
    raise RuntimeError("检测到已有求解结果，已保留；不重复本轮首次求解流程。")

print("RESIDUAL_SETTINGS", s.solution.monitor.residual.get_state())
s.setup.general.solver.time = "steady"
s.file.start_transcript(
    file_name=task_directory + r"\front_wing_repaired_flow.trn"
)
try:
    for block in range(6):
        s.solution.run_calculation.iterate(iter_count=50)
        result = reports.compute(report_defs=force_names)
        drag = report_value(result, force_names[0])
        lift = report_value(result, force_names[1])
        denominator = 0.5 * 1.225 * 30.0**2 * 0.552
        print("FORCE_HISTORY", {
            "iteration": s.solution.run_calculation.iter_count.get_state(),
            "drag": drag,
            "lift": lift,
            "downforce": -lift,
            "CD": drag / denominator,
            "CL": lift / denominator,
        })
    s.file.write_case_data(
        file_name=task_directory + r"\front_wing_repaired_steady.cas.h5"
    )
    section = checked(
        "CENTRAL_SECTION",
        fluentagi.create_section(axis="z", position=0.0),
    )
    s.setup.general.solver.time = "unsteady-2nd-order"
    s.solution.run_calculation.transient_controls.time_step_size = 0.0005
    checked(
        "VELOCITY_SECTION_ANIMATION",
        fluentagi.record_animation(
            directory=task_directory,
            field="velocity-magnitude",
            frames=41,
            steps_per_frame=5,
            max_iter_per_step=40,
            surfaces=[section["surface"]],
        ),
    )
    print("FINAL_FORCES", reports.compute(report_defs=force_names))
    mass_result = reports.compute(report_defs=mass_names)
    print("MASS_FLOW_READBACK", mass_result)
    mass_values = [report_value(mass_result, name) for name in mass_names]
    scale = max(abs(value) for value in mass_values)
    print("RELATIVE_MASS_IMBALANCE", abs(sum(mass_values)) / max(scale, 1e-20))
    checked(
        "FINAL_SECTION_EXPORT",
        fluentagi.export_results(
            directory=task_directory,
            fields=["pressure", "velocity-magnitude"],
            surfaces=[section["surface"]],
        ),
    )
    paths = s.results.graphics.pathline
    if paths.is_active():
        name = "front_wing_streamlines"
        if name not in paths.get_object_names():
            paths[name] = {}
        print("STREAMLINE_STATE", paths[name].get_state())
        print("STREAMLINE_FIELDS", getattr(paths[name], "child_names", []))
finally:
    s.file.stop_transcript()
    s.file.write_case_data(
        file_name=task_directory + r"\front_wing_repaired_flow_checkpoint.cas.h5"
    )

print("REFERENCE_AREA", 0.552)
print("VALIDATION_PENDING", [
    "all_step_convergence",
    "force_stability",
    "mesh_independence",
    "near_wall_resolution",
    "streamline_export",
])
```
</fluent_code>

<final_answer>本脚本修复报告命令未激活的问题，沿用68168单元网格及现有壁面分区。计划计算前翼升阻力并生成41帧中央截面速度动画，保存检查点；实际完成情况、收敛和守恒需依据执行反馈判断。流线显示仍待读取对象字段后完成。</final_answer>

round-08
【发送给 ChatGPT】
You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout:

<fluent_code>

```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.
```

</fluent_code>

Put a newline before and after each tag and each fence. Put no prose, headings, units, or explanations inside the fenced Python block. Do not place ```python and Python statements on the same line. Keep the script under 280 lines. Use loops instead of repeating similar statements. Never truncate a string, parenthesis, or code fence; always close </fluent_code>.
Use the existing solver session and compatible PyFluent APIs. A completed conversation turn does not close the session. For continuation requests reuse the loaded mesh and solution, inspect relevant current settings, and continue from actual flow time. Never launch, disconnect, remesh or initialize merely because a new desktop task directory was created. Do not launch or close Fluent. Do not use Abaqus APIs. Use solver.settings APIs and the provided fluentagi adapters. Direct solver.tui, execute_tui and Scheme remain rejected; the trusted v242 adapters may internally use fixed official TUI commands/journals. For mesh display use solver.settings.results.graphics.mesh and graphics.views APIs. Do not return JSON tool plans. Do not invent mesh files or API names. Only operate on the requested case and task directory. Preserve existing results. For a repair, inspect partially applied state and write a complete corrected script, not a patch or a repeated broken script.
The web AI cannot read or modify host application source. Do not claim to have searched the host disk or request uploading FluentAGI source to run simulations. Use the verified runtime adapters. Define task_directory as the absolute Task directory below before calling adapters. For VOF surface tension use fluentagi.configure_surface_tension(directory=task_directory,coefficient=0.072,phase_a="phase-1",phase_b="phase-2"); coefficient is N/m, replace the example with the requested value. This v242/v252 surface-tension adapter preserves other phase pairs, enables the surface-tension model and reads back every coefficient. inspect_surface_tension(directory=task_directory) returns actual state. Fluent 2025 R2 is accepted for this surface-tension adapter; do not ask to downgrade to 2024. Other Lee/DPM adapters retain their own version restrictions. Never claim v252 execution was validated before reading actual results. Do not ask the user to edit the plugin or click GUI dialogs for this supported operation.
Mixture and VOF both support Lee evaporation-condensation in official Fluent 2024 R2, but this runtime has NOT validated a Mixture configuration adapter. Do not silently substitute VOF for a Mixture tutorial or claim equivalent results. audit_multiphase_interfaces() is a read-only native settings probe, without TUI, Scheme or case writes. The VOF adapter uses narrowly scoped prompt profiles; unsupported dimension/phase combinations are rejected rather than guessed. For three-phase boiling setup in Fluent 2024 R2, use fluentagi.configure_three_phase_materials(directory=task_directory, materials=["air", "water-liquid", "water-vapor"]) to create actual phase-1/2/3 domains and verify material assignments. For an existing three-phase model, fluentagi.assign_multiphase_materials(materials=[...], directory=task_directory) assigns materials without changing the phase count. Then call fluentagi.configure_evaporation_condensation(directory=task_directory, saturation_temperature=T_sat_K, evaporation_frequency=from_frequency_per_second, condensation_frequency=to_frequency_per_second, from_phase="phase-2", to_phase="phase-3"). Pass the user's specified temperature/frequencies; preserve their geometry, heating and calculation parameters. This verified v242 VOF Lee adapter enables energy, uses a fixed official TUI journal and verifies the phase pair, constant saturation temperature, both frequencies and Lee model by an independent case snapshot. It does not initialize or advance the simulation. Do not say this feature is unavailable because direct TUI is forbidden; use the adapter. fluentagi.inspect_phase_change(directory=task_directory) returns actual phases and mass transfer settings, refreshing a unique case snapshot. Do not replace existing unrelated mechanisms. This adapter supports one Lee mass transfer pair, not Eulerian wall boiling, semi-mechanistic wall boiling, pressure-dependent saturation tables or UDFs. Do not claim a complete validated boiling simulation from successful setup alone. initialize_air is a TWO-PHASE adapter; do not use it for three-phase cases. Use verified settings initialization and phase-aware patching only for requested new calculations.
The runtime provides fluentagi.assign_phase_materials(primary="air", secondary="water-liquid", directory=task_directory), fluentagi.inspect_phases(), and fluentagi.export_results(directory=task_directory, fields=["pressure", "velocity-magnitude"]). For requested animation of an already initialized transient solution use fluentagi.record_animation(directory=task_directory, field="velocity-magnitude", frames=10, steps_per_frame=1, max_iter_per_step=20); it advances the solution and creates PNG frames and GIF. Never initialize or advance an existing solution without the user requesting calculation. These are executable verified adapters, not prose instructions. Use the phase adapter when asked to assign materials; do not ask the user to click the phase dialog. Print returned results. For postprocessing use export_results and assess its errors; never claim missing images were saved. Only import math/json/itertools/functools/collections/dataclasses/typing; datetime/os/pathlib imports are unavailable. Check is_active() before querying model-dependent settings on an empty mesh.
For NEW planar geometry and meshing use mesh = fluentagi.build_planar(directory=task_directory, points=[[x,y],...], inlet_edges=[0], outlet_edges=[2], size=0.001). Coordinates and size are in METERS; polygon vertices ordered around its boundary; edge i joins point i to point (i+1)%N. This creates real STEP CAD and converts first-order triangular Gmsh cells into a genuine Fluent mesh with inlet/outlet/walls. Then solver.settings.file.read_mesh(file_name=mesh["mesh_file"]), solver.settings.mesh.check(), configure physics, initialize, iterate, and export_results. Save current case/data before replacing loaded geometry. Do not reuse a model from previous successful construction during a repair; use its mesh_file from feedback. For curved planar CAD, use fluentagi.geometry_mesh(directory=task_directory,code=gmsh_script_string); the worker has gmsh,math,output_dir already, no imports; create OCC geometry and physical line groups named inlet,outlet,walls, export STEP, generate first-order triangular or quadrilateral mesh(2). Returned mesh_file is Fluent format; gmsh-native.msh is NOT Fluent format. 3D modeling and volume mesh conversion are now implemented. fluentagi.build_volume(directory=task_directory, shape="box",length=0.1,width=0.02,height=0.02,size=0.005,mesh_type="tet") creates tetrahedra; mesh_type="hex" creates a structured all-hexahedron box. shape="cylinder",radius=0.01 supports tetrahedra with axis along +X. Inlet is X=0 and outlet X=length. fluentagi.build_extruded(directory=task_directory,points=[[x,y],...],inlet_edges=[0],outlet_edges=[2],depth=0.01,size=0.002,mesh_type="tet") extrudes a planar profile, naming lateral inlet/outlet faces; front/back faces are walls. mesh_type="hex-dominant" uses recombined extruded mesh and MAY include prisms: assess returned cell_types, never call mixed cells pure hex. geometry_mesh supports arbitrary OCC volumes (boolean unions/cuts), physical SURFACE groups inlet/outlet/walls, and mesh.generate(3), first-order tet/hex/prism/pyramid. Imported STEP is not currently supported by the restricted worker. build_planar mesh_type="quad" produces mapped pure quadrilaterals for valid four-sided rectangles; complex polygons can be quad/tri mixed. 2D uses triangles/quads, 3D uses tet/hex. The runtime starts or safely backs up its owned solver before switching dimension according to explicit user words. Do not request user-supplied 3D mesh for supported geometry. Save backups before replacing any loaded mesh. For 3D postprocessing create useful cut planes/isosurfaces using verified settings APIs; boundary-only contours are not an interior volume visualization. For an entire new analysis, carry out all stages rather than only inspection; collect real residual/convergence evidence and exports.
For water-air transient filling, call fluentagi.configure_water_air(directory=task_directory,velocity=0.05,time_step=0.001,gravity_y=-9.81,inlet="inlet",outlet="outlet"). This backs up and sets laminar VOF, materials, phase-aware inlet/outlet, gravity and timestep; does NOT initialize or erase existing solution. For requested NEW filling use fluentagi.initialize_air(directory=task_directory), which saves a backup, hybrid initializes and patches phase-2 volume fraction to zero across all fluid cell zones. Never initialize_air on existing results without an explicit restart request. Fluent v242 contour fields are phase-2-vof (water, only after confirming phase-2=water-liquid) and phase-1-vof (air); do not confuse them. Query real contour field.allowed_values for VOF fields. For 3D interior contours/animation use section=fluentagi.create_section(axis="z",position=depth/2), then export_results(...,surfaces=[section["surface"]]) or record_animation(...,surfaces=[section["surface"]]). A plane section is not full volumetric rendering; report it accurately. Frames are 2..60. Each frame after the first advances steps_per_frame real time steps; final time is initial time+(frames-1)*steps_per_frame*time_step. Do not claim the pipe fills if the simulated duration is too short. Normalize typos like "二维四面体" by explaining 2D triangular equivalent; if depth/3D was explicitly requested, use volume tools.
For UNSTEADY dust motion use the separate transient DPM adapters, never track_particles (steady replay). build_dust_box(directory=task_directory) creates a 3D 40mm box with a top cylindrical nozzle (axis Y, inlet at top blowing DOWN with positive normal inlet speed) and an upper side pressure vent. Save existing case before reading its mesh_file. geometry parameters are SI and can be passed as named arguments. Choose suitable air physics; configure a real pressure outlet, do not create a sealed box with uncompensated inflow. configure_transient_dust(directory=task_directory,region_min=[.012,.003,.012],region_max=[.028,.004,.028],counts=[2,2,2],release_time=.02,release_duration=.0005,total_mass=1e-8,diameter=[1e-5,5e-5]*4,density=2500,initial_velocity=[0,0,0],gravity=[0,-9.81,0],time_step=.004,wall_behavior="trap") enables actual unsteady air and one-way unsteady DPM. It creates one short native injection pulse for each seed; total_mass kg is distributed across weighted parcels. It accepts explicit points instead of a region. The entire release pulse must fit inside one physical dt. Does NOT initialize. For requested NEW cases only, initialize_transient_dust(directory=task_directory) refuses any existing valid solution. Then advance_transient_dust(directory=task_directory,until_time=.2,max_iter_per_step=200,residual_tolerance=.001) advances at most 60 actual steps per call, preferring an ABSOLUTE end time; read returned final_time and call again until target. Already reached until_time does not advance again. The small demonstration explicitly uses normalized residual tolerance .001; honor stricter user requirements and never silently relax them. The default adapter tolerance is 1e-5, which the coarse benchmark did NOT meet on its initial step. Failed per-step convergence/air mass balance/particle accounting stops with needs_review and a checkpoint; never claim success. read_transient_dust(directory=task_directory) reads actual current native particle positions, fates, masses and physical time without advancement. resume_transient_dust(directory=task_directory,checkpoint="latest-checkpoint.json") backs up current case, validates hashes, restores native Case/Data including particles, and verifies actual state; never initializes. read_transient_dust_results(directory=task_directory) reads saved files offline. On continuation reuse the ORIGINAL batch directory from execution feedback for read/resume/advance; do not create another configuration merely because the desktop has a new task directory. Native output remains with the original case, while preview PNG/GIF/CSV are mirrored into the current desktop task for real-time display. Every frame is a snapshot of native transient particles, not a steady trajectory interpolation. Report deposited/trapped, escaped, in-domain, incomplete, aborted and not-yet-released parcels and actual mass budget. Caption all runs "预先释放悬浮颗粒，非积尘再悬浮". Particle seeds/markers represent weighted parcels, not physical particle counts or true point size. Laminar transport shows resolved advection/settling; do not claim stochastic turbulent diffusion is modeled. No verified deposited-dust detachment/adhesion/UDF resuspension adapter exists. Never add an upward initial velocity and call it resuspension. Preserve steady DPM as a distinct path.
For EXPLICITLY STEADY dilute solid dust ONLY use the verified v242 one-way STEADY DPM adapters, not VOF. First inspect_dpm(). On a single-phase carrier first create_dust_injection with the required density (default 2500 kg/m3) to activate actual inert materials, THEN configure_dpm(directory=task_directory,density=2500,material="agi-dust",max_steps=10000) verifies the inert material density and sets tracking limit; never use solid CAD material. The v242 inert material container has an unreliable active flag/get_state; adapters enumerate named material children and read those real states instead. Never query the entire inert material container. create_dust_injection(directory=task_directory,name="dust",start=[0.00001,0.003,0.01],end=[0.00001,0.017,0.01],streams=12,diameter=0.00005,mass_flow=0.0000001,velocity=[0.5,0,0],material="agi-dust") creates a real group injection. Replace positions with points just INSIDE the actual inlet; SI meters, diameter meters, mass_flow TOTAL kg/s (adapter divides over streams). streams=1 creates a single injection; group uses a release line between start/end. Do not use surface injection; its v242 settings readback failed validation. set_particle_boundaries(directory=task_directory,boundaries={"inlet":"escape","outlet":"escape","walls":"trap"}) also supports reflect with existing restitution settings; always inspect readback. Never silently change an existing multiphase or coupled DPM model. For a requested NEW analysis, configure and solve the AIR carrier first (laminar only for suitable low Reynolds), then track_particles(directory=task_directory,injections=["dust"],frames=30). This tracks native DPM trajectories, exports tracks.csv/json, native summary text, statistics and PNG/GIF. It does NOT initialize or advance the carrier. Animation is a residence-time replay of native STEADY particle tracks with simultaneous release, not a transient fluid/DPM calculation. Never use air pathlines or a continuous-phase contour as dust motion. Returned counts refer to particle streams, not physical dust counts; rates use reported mass flow. Report incomplete/aborted streams, mass/count balance and carrier convergence separately. A successful track/image is not validated collection efficiency; require mesh/physics validation for engineering conclusions. Preserve results; use a new injection name if its parameters change.
End with <final_answer>Chinese explanation of the intended changes, without claiming execution success</final_answer>.
If essential input or an incompatible session prevents a valid script, return only <question>the specific missing input in Chinese</question>.
After the desktop returns execution results, either provide a corrected script or return only <final_answer>a Chinese assessment supported by those results</final_answer>. Do not execute the same successful script again. Successful execution alone does not prove convergence.

Previous conversation and execution context (reference only; do not repeat successful scripts):
[{"user": "好的"}, {"assistant": "已确认采用30 m/s来流、1.2 m总宽、0.1 m离地高度和移动地面。但当前几何适配器仅声明支持 inlet、outlet、walls 三类边界，尚未确认能将前翼、地面和远场分别分组；这关系到移动地面设置及单独统计前翼升阻力。能否提供运行端支持独立壁面分组的能力反馈？否则无法可靠生成满足这些要求的完整脚本。", "run_directory": "C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142517-f253e1"}, {"user": "所有参数都是你来设计。"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_MODEL_ACTIVE False\\nREPAIRED_FRONT_WING_MESH {'files': ['C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\cad-d1bc89e9\\\\\\\\fluent.msh', 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\cad-d1bc89e9\\\\\\\\front-wing.step'], 'log': 'lane, Frontal-Delaunay)\\\\nInfo    : Done meshing 2D (Wall 0.31698s, CPU 0s)\\\\nInfo    : Meshing 3D...\\\\nInfo    : 3D Meshing 1 vol\n…中间日志已省略，完整日志保存在任务目录…\nS list_1 []\\nREPORT_drag_ARGUMENTS list_properties_1 ['object_name']\\nREPORT_drag_ARGUMENTS make_a_copy ['from_', 'to']\\nGRAPHICS_ACTIVE True\\nGRAPHICS_CHILDREN ['mesh', 'contour', 'vector', 'pathline', 'particle_track', 'lic', 'olic', 'volumes', 'contours', 'particle_tracks', 'colors', 'lighting', 'picture', 'views', 'windows', 'raytracing_options', 'pulse', 'periodic_instancing']\\nGRAPHICS_COMMANDS []\\nGRAPHICS_QUERIES []\\nGRAPHICS_pathline_ACTIVE False\\nGRAPHICS_pathline_CHILDREN []\\nGRAPHICS_pathline_COMMANDS ['delete', 'rename', 'list_1', 'list_properties_1', 'make_a_copy', 'display', 'copy', 'add_to_graphics', 'clear_history']\\nGRAPHICS_pathline_QUERIES []\\nGRAPHICS_pathline_ARGUMENTS delete ['name_list']\\nGRAPHICS_pathline_ARGUMENTS rename ['new', 'old']\\nGRAPHICS_pathline_ARGUMENTS list_1 []\\nGRAPHICS_pathline_ARGUMENTS list_properties_1 ['object_name']\\nGRAPHICS_pathline_ARGUMENTS make_a_copy ['from_', 'to']\\nGRAPHICS_pathline_ARGUMENTS display ['object_name']\\nGRAPHICS_pathline_ARGUMENTS copy ['from_name', 'new_name']\\nGRAPHICS_pathline_ARGUMENTS add_to_graphics ['object_name']\\nGRAPHICS_pathline_ARGUMENTS clear_history ['object_name']\\nDESIGN {'velocity': 30.0, 'span': 1.2, 'main_chord': 0.32, 'flap_chord': 0.14, 'main_angle': 8.0, 'flap_angle': 20.0, 'endplate_clearance': 0.1, 'maximum_volume_cells': 180000}\\nSTAGE mesh_repair_and_native_interface_readback\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"SOLVER_STATE {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'steady'}\\nWALL_ZONES ['walls']\\nINLET_ZONES ['inlet']\\nOUTLET_ZONES ['outlet']\\nMESH_CHILDREN ['adapt', 'anisotropic_adaption', 'check_before_solve', 'check_verbosity', 'enhanced_orthogonal_quality', 'matching_tolerance', 'modify_zones', 'show_periodic_shadow_zones', 'reorder', 'repair_improve', 'surface_mesh', 'polyhedra', 'wall_distance_method']\\nMESH_COMMANDS ['adjacency', 'c\n…中间日志已省略，完整日志保存在任务目录…\n-kl-w', 'transition-sst', 'reynolds-stress', 'scale-adaptive-simulation', 'detached-eddy-simulation', 'large-eddy-simulation']\\nVISCOUS_CHILDREN ['model', 'spalart_allmaras_production', 'k_epsilon_model', 'k_omega_model', 'k_omega_options', 'geko_options', 'rng_options', 'near_wall_treatment', 'reynolds_stress_model', 'subgrid_scale_model', 'les_model_options', 'reynolds_stress_options', 'rans_model', 'des_options', 'transition_module', 'hybrid_rans_les', 'sbes_options', 'user_defined_transition', 'options', 'multiphase_turbulence', 'turbulence_expert', 'transition_model_options', 'transition_sst_option', 'user_defined', 'sa_enhanced_wall_treatment', 'sa_damping']\\nRUN_CALCULATION_STATE {'pseudo_time_settings': {'verbosity': 0, 'time_step_method': {'time_step_method': 'automatic', 'length_scale_methods': 'conservative', 'time_step_size_scale_factor': 1.0}}, 'iter_count': 0, 'reporting_interval': 1, 'profile_update_interval': 1, 'data_sampling': {'enabled': False}}\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_boundary_force_interface.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,     4 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE boundary_separation_and_force_field_readback\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"WALL_ZONES ['walls']\\nITERATION_COUNT 0\\nMODIFY_ZONE_CHILDREN []\\nSEPARATION_COMMAND_NAMES ['sep_cell_zone_mark', 'sep_cell_zone_region', 'sep_face_zone_angle', 'sep_face_zone_face', 'sep_face_zone_mark', 'sep_face_zone_region']\\nSEPARATION_COMMAND sep_cell_zone_mark ['cell_zone_name', 'register', 'move_faces']\\nSEPARATION_ARGUMENT sep_cell_zone_mark cell_zone_name []\\nSEPARATION_ARGUMENT sep_cell_zone_mark register []\\nSEPARATION_ARGUMENT sep_cell_zone_mark mov\n…中间日志已省略，完整日志保存在任务目录…\nGUMENT sep_face_zone_mark face_zone_name []\\nSEPARATION_ARGUMENT sep_face_zone_mark register_name []\\nSEPARATION_ARGUMENT sep_face_zone_mark move_faces []\\nSEPARATION_COMMAND sep_face_zone_region ['face_zone_name', 'move_faces']\\nSEPARATION_ARGUMENT sep_face_zone_region face_zone_name []\\nSEPARATION_ARGUMENT sep_face_zone_region move_faces []\\nFORCE_DEFINITION front_wing_drag_interface {'name': 'front_wing_drag_interface', 'force_vector': [1, 0, 0], 'reference_frame': 'global', 'zones': None, 'per_zone': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nFORCE_DEFINITION front_wing_lift_interface {'name': 'front_wing_lift_interface', 'force_vector': [0.0, 1.0, 0.0], 'reference_frame': 'global', 'zones': None, 'per_zone': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nMOVING_WALL_FIELDS ['wall_motion', 'speed', 'rotation_speed', 'rotation_axis_direction', 'direction', 'velocity_components']\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_separation_arguments.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,     4 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE targeted_boundary_separation_arguments\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_WALL_ZONES ['walls']\\nCURRENT_ITERATIONS 0\\nCURRENT_MODELS {'model': 'k-omega', 'k_omega_model': 'sst', 'k_omega_options': {'kw_low_re_correction': False}, 'near_wall_treatment': {'wall_omega_treatment': 'correlation'}, 'transition_module': 'none', 'options': {'curvature_correction': False, 'corner_flow_correction': False, 'production_kato_launder_enabled': False, 'production_limiter': {'enabled': True, 'clip_factor': 10.0}}, 'turbulence_expert': {'turb_\n…中间日志已省略，完整日志保存在任务目录…\n-vertexavg', 'surface-vertexmax', 'surface-vertexmin', 'surface-volumeflowrate']\\nCOORDINATE_REPORT_OPTIONS surface_names ['walls:011', 'walls:012', 'walls:013', 'walls:014', 'walls:015', 'walls:016', 'walls:017', 'walls:018', 'walls:019', 'walls:020', 'walls:021', 'walls:022', 'walls:023', 'walls:024', 'walls:025', 'walls:007:008', 'walls:007:009', 'walls:007:010', 'walls:007', 'inlet', 'outlet', 'walls']\\nWALL_MOTION_OPTIONS ['Stationary Wall', 'Moving Wall']\\nWALL_MOMENTUM_FIELDS ['wall_motion', 'moving', 'relative', 'rotating', 'components', 'speed', 'rotation_speed', 'rotation_axis_origin', 'rotation_axis_direction', 'direction', 'velocity_components', 'shear_condition', 'fsi_interface', 'periodic_displacement', 'periodic_imaginary_displacement', 'frequency', 'amplitude', 'nodal_diam', 'passage_number', 'fwd', 'aero', 'cmplx', 'norm', 'method', 'shear_stress', 'fslip', 'eslip', 'surface_tension_gradient', 'specified_shear', 'specularity_coeff', 'mom_accommodation_coeff']\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_partitioned_air_setup.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,    23 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE native_wall_partition_and_air_setup\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_STATE {'walls': ['walls:011', 'walls:012', 'walls:013', 'walls:014', 'walls:015', 'walls:016', 'walls:017', 'walls:018', 'walls:019', 'walls:020', 'walls:021', 'walls:022', 'walls:023', 'walls:024', 'walls:025', 'walls:007:008', 'walls:007:009', 'walls:007:010', 'walls:007', 'walls'], 'iterations': 0, 'solver': {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'steady'}, 'compute_active': False}\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\1397\n…中间日志已省略，完整日志保存在任务目录…\nsymbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}]}}\\nSTREAMLINE_FIELDS ['name', 'uid', 'options', 'range', 'style_attribute', 'accuracy_control', 'plot', 'step', 'skip', 'coarsen', 'onzone', 'onphysics', 'field', 'release_from_surfaces', 'velocity_domain', 'color_map', 'draw_mesh', 'mesh_object', 'display_state_name', 'physics', 'geometry', 'surfaces', 'axes', 'curves']\\n\\nTranscript closed.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_repaired_flow_checkpoint.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,    23 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_repaired_flow_checkpoint.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\nDone.\\nREFERENCE_AREA 0.552\\nVALIDATION_PENDING ['all_step_convergence', 'force_stability', 'mesh_independence', 'near_wall_resolution', 'streamline_export']\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
Runtime capabilities:
{"protocol": "FluentAGI-capabilities-v1", "session": {"connected": true, "mode": "launch"}, "geometry": {"worker": "gmsh isolated process", "imports": [], "builtins": ["range", "len", "int", "float", "str", "list", "tuple", "enumerate", "zip", "min", "max", "abs", "round", "RuntimeError", "ValueError", "print", "set", "sum", "sorted", "bool", "all", "any"], "physical_groups": ["inlet", "outlet", "walls"], "cell_types": ["triangle", "quadrilateral", "tetrahedron", "hexahedron", "prism", "pyramid"]}, "script": {"imports": ["math", "json", "itertools", "functools", "collections", "dataclasses", "typing"], "adapters": ["build_dust_box", "configure_transient_dust", "initialize_transient_dust", "read_transient_dust", "advance_transient_dust", "resume_transient_dust", "read_transient_dust_results", "inspect_dpm", "configure_dpm", "create_dust_injection", "set_particle_boundaries", "track_particles", "build_planar", "build_volume", "build_extruded", "geometry_mesh", "configure_water_air", "initialize_air", "record_animation", "export_results", "assign_phase_materials", "assign_multiphase_materials", "configure_three_phase_materials", "audit_multiphase_interfaces", "configure_evaporation_condensation", "inspect_phase_change", "configure_surface_tension", "inspect_surface_tension"]}, "generated_at": 1792304747.7744308, "phase_change": {"version": "v242", "model": "Lee", "adapter_multiphase_models": ["vof"], "mixture_officially_available": true, "mixture_adapter_validated": false, "two_phase_2d_correction_runtime_validation": "pending", "automatic_model_switch": false, "phases": [2, 3], "saturation": "constant K", "frequencies": "positive finite 1/s", "mass_transfer_pairs": 1, "internal_official_tui": true, "generated_direct_tui": false, "readback": "unique case snapshot", "initializes": false}, "surface_tension": {"version": "v242/v252", "runtime_validation": {"v242": "previous native validation", "v252": "official command and generated SDK checked; customer runtime readback required"}, "model": "VOF", "coefficient": "nonnegative finite N/m", "preserves_other_pairs": true, "readback": "unique case snapshot", "initializes": false}, "transient_dpm": {"version": "v242", "model": "unsteady single-phase carrier + transient one-way inert DPM", "release": "one short native pulse per explicit point / region grid, max 64 weighted parcels", "chunk_steps": 60, "positions": "native current positions at actual physical time; never steady replay", "checkpoint": "unique Case/Data plus SHA256 and particle-state readback", "acceptance": "each-step residuals, native air mass flux, particle mass/count fate closure", "default_residual_tolerance": 1e-05, "benchmark_residual_tolerance": 0.001, "strict_1e_5_initial_step_validated": false, "resuspension_validated": false, "stochastic_turbulent_dispersion_validated": false}, "dpm": {"version": "v242", "carrier": "single phase, one-way, steady inert dust", "injection_types": ["single", "group"], "surface_injection_validated": false, "boundary_types": ["reflect", "trap", "escape"], "trajectory_source": "native GetParticleTracksField RPC", "animation": "steady DPM trajectory residence-time replay, no carrier advance", "transient_dpm_validated": false, "two_way_validated": false, "readback": true, "active": false}, "fluent_version": "Ansys Fluent 2024 R2", "model_active": false}
Current session:
{"connected": true, "dimension": 3, "mode": "solver", "owned": true, "continuation": true}
Task directory:
C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261018-142547-90d0a4
Current request:
所有参数都是你来设计。
Desktop execution feedback:
[{"failed_action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\nimport math\n\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142547-90d0a4\"\ns = solver.settings\n\ndef checked(label, result):\n    print(label, result)\n    if isinstance(result, dict):\n        if result.get(\"status\") in (\"error\", \"failed\", \"needs_review\"):\n            raise RuntimeError(str(result))\n        if result.get(\"error\") or result.get(\"errors\"):\n            raise RuntimeError(str(result))\n    return result\n\ndef numbers(value):\n    if isinstance(value, bool):\n        return []\n    if isinstance(value, (int, float)):\n        return [float(value)]\n    if isinstance(value, dict):\n        result = []\n        for child in value.values():\n            result.extend(numbers(child))\n        return result\n    if isinstance(value, (list, tuple)):\n        result = []\n        for child in value:\n            result.extend(numbers(child))\n        return result\n    return []\n\ndef report_value(result, name):\n    if isinstance(result, dict):\n        if name in result:\n            values = numbers(result[name])\n            if values and math.isfinite(values[0]):\n                return values[0]\n        for child in result.values():\n            try:\n                return report_value(child, name)\n            except ValueError:\n                pass\n    elif isinstance(result, (list, tuple)):\n        for child in result:\n            try:\n                return report_value(child, name)\n            except ValueError:\n                pass\n    raise ValueError(\"无法提取报告值：\" + name + \"；实际返回：\" + str(result))\n\ndef scalar(setting, value):\n    state = setting.get_state()\n    if isinstance(state, dict):\n        if \"value\" not in state:\n            raise RuntimeError(\"无法识别数值字段：\" + str(state))\n        update = {\"value\": value}\n        if \"option\" in state:\n            update[\"option\"] = \"value\"\n        setting.set_state(update)\n    else:\n        setting.set_state(value)\n\ndef vector(setting, values):\n    state = setting.get_state()\n    if isinstance(state, (list, tuple)):\n        setting.set_state(values)\n    elif isinstance(state, dict):\n        keys = list(state)\n        groups = [\n            [\"x\", \"y\", \"z\"],\n            [\"x_component\", \"y_component\", \"z_component\"],\n        ]\n        matched = False\n        for group in groups:\n            if all(key in keys for key in group):\n                for key, value in zip(group, values):\n                    scalar(getattr(setting, key), value)\n                matched = True\n                break\n        if not matched:\n            raise RuntimeError(\"无法识别矢量字段：\" + str(state))\n    else:\n        raise RuntimeError(\"无法识别矢量字段：\" + str(state))\n\nif not s.setup.models.is_active():\n    raise RuntimeError(\"当前网格未激活。\")\n\nbc = s.setup.boundary_conditions\nwall_names = bc.wall.get_object_names()\nprint(\"CURRENT_WALL_ZONES\", wall_names)\nprint(\"CURRENT_SOLVER\", s.setup.general.solver.get_state())\niteration_start = s.solution.run_calculation.iter_count.get_state()\nprint(\"INITIAL_ITERATION_COUNT\", iteration_start)\n\ns.file.write_case(\n    file_name=task_directory + r\"\\before_front_wing_coordinate_setup.cas.h5\"\n)\n\nsurface_reports = s.solution.report_definitions.surface\nprobe_names = []\nfor axis in [\"x\", \"y\", \"z\"]:\n    for suffix, report_type in [\n        (\"min\", \"surface-vertexmin\"),\n        (\"max\", \"surface-vertexmax\"),\n    ]:\n        name = \"fw_bound_\" + axis + \"_\" + suffix\n        if name not in surface_reports.get_object_names():\n            surface_reports[name] = {}\n        report = surface_reports[name]\n        report.report_type = report_type\n        allowed = report.field.allowed_values()\n        field = axis + \"-coordinate\"\n        if field not in allowed:\n            raise RuntimeError(\"坐标字段不可用：\" + field)\n        report.field = field\n        probe_names.append(name)\n\nbounds = {}\nfor zone in wall_names:\n    for name in probe_names:\n        surface_reports[name].surface_names = [zone]\n    result = s.solution.report_definitions.compute(report_defs=probe_names)\n    values = [report_value(result, name) for name in probe_names]\n    bounds[zone] = values\n    print(\"WALL_BOUNDS\", zone, values)\n\nwing = []\nground = []\nfarfield = []\nfor zone, b in bounds.items():\n    xmin, xmax, ymin, ymax, zmin, zmax = b\n    if max(abs(ymin), abs(ymax)) < 1e-5:\n        ground.append(zone)\n    elif (\n        xmin > -0.031 and xmax < 0.491\n        and ymin > 0.089 and ymax < 0.351\n        and zmin > -0.619 and zmax < 0.619\n    ):\n        wing.append(zone)\n    else:\n        farfield.append(zone)\n\nprint(\"BOUNDARY_CLASSIFICATION\", {\n    \"wing\": wing,\n    \"ground\": ground,\n    \"farfield\": farfield,\n})\nif not wing or len(ground) != 1 or len(farfield) != 3:\n    raise RuntimeError(\"边界分类与设计不符，停止求解并保留网格。\")\n\nfor zone in wing + ground:\n    bc.wall[zone].momentum.shear_condition = \"No Slip\"\n    bc.wall[zone].momentum.wall_motion = \"Stationary Wall\"\n\nmomentum = bc.wall[ground[0]].momentum\nmomentum.wall_motion = \"Moving Wall\"\nfor name, value in [\n    (\"relative\", False),\n    (\"rotating\", False),\n    (\"components\", False),\n]:\n    child = getattr(momentum, name)\n    if child.is_active():\n        child.set_state(value)\nscalar(momentum.speed, 30.0)\nvector(momentum.direction, [1.0, 0.0, 0.0])\nprint(\"MOVING_GROUND_READBACK\", momentum.get_state())\n\nfor zone in farfield:\n    momentum = bc.wall[zone].momentum\n    momentum.wall_motion = \"Stationary Wall\"\n    momentum.shear_condition = \"Specified Shear\"\n    print(\"SLIP_OUTER_BOUNDARY\", zone, momentum.get_state())\n\ninlet = bc.velocity_inlet[\"inlet\"]\noutlet = bc.pressure_outlet[\"outlet\"]\nscalar(inlet.momentum.velocity, 30.0)\nscalar(outlet.momentum.gauge_pressure, 0.0)\ninlet.turbulence.turbulence_specification = \"Intensity and Viscosity Ratio\"\nscalar(inlet.turbulence.turbulent_intensity, 0.01)\nscalar(inlet.turbulence.turbulent_viscosity_ratio, 10.0)\nprint(\"INLET_TURBULENCE_READBACK\", inlet.turbulence.get_state())\n\nforce_names = []\nfor name, direction in [\n    (\"front_wing_drag_interface\", [1.0, 0.0, 0.0]),\n    (\"front_wing_lift_interface\", [0.0, 1.0, 0.0]),\n]:\n    report = s.solution.report_definitions.force[name]\n    report.force_vector = direction\n    report.zones = wing\n    force_names.append(name)\n    print(\"WING_FORCE_READBACK\", name, report.get_state())\n\nfor name, zone in [(\"fw_inlet_mass\", \"inlet\"), (\"fw_outlet_mass\", \"outlet\")]:\n    if name not in surface_reports.get_object_names():\n        surface_reports[name] = {}\n    report = surface_reports[name]\n    report.report_type = \"surface-massflowrate\"\n    report.surface_names = [zone]\n\ns.file.write_case(\n    file_name=task_directory + r\"\\front_wing_ready_to_solve.cas.h5\"\n)\nprint(\"RESIDUAL_CONFIGURATION\", s.solution.monitor.residual.get_state())\n\nif iteration_start != 0:\n    raise RuntimeError(\"检测到已有迭代结果；保留结果，停止首次初始化流程。\")\n\ns.setup.general.solver.time = \"steady\"\ns.solution.initialization.hybrid_initialize()\ns.file.start_transcript(\n    file_name=task_directory + r\"\\front_wing_flow_and_forces.trn\"\n)\ntry:\n    for block in range(6):\n        s.solution.run_calculation.iterate(iter_count=50)\n        result = s.solution.report_definitions.compute(report_defs=force_names)\n        drag = report_value(result, force_names[0])\n        lift = report_value(result, force_names[1])\n        dynamic_force = 0.5 * 1.225 * 30.0**2 * (1.2 * 0.46)\n        print(\"STEADY_FORCE_HISTORY\", {\n            \"iteration\": s.solution.run_calculation.iter_count.get_state(),\n            \"drag\": drag,\n            \"lift\": lift,\n            \"downforce\": -lift,\n            \"CD\": drag / dynamic_force,\n            \"CL\": lift / dynamic_force,\n        })\n\n    s.file.write_case_data(\n        file_name=task_directory + r\"\\front_wing_steady_checkpoint.cas.h5\"\n    )\n    section = checked(\n        \"CENTRAL_SECTION\",\n        fluentagi.create_section(axis=\"z\", position=0.0),\n    )\n    s.setup.general.solver.time = \"unsteady-2nd-order\"\n    s.solution.run_calculation.transient_controls.time_step_size = 0.0005\n    checked(\n        \"VELOCITY_SECTION_ANIMATION\",\n        fluentagi.record_animation(\n            directory=task_directory,\n            field=\"velocity-magnitude\",\n            frames=41,\n            steps_per_frame=5,\n            max_iter_per_step=40,\n            surfaces=[section[\"surface\"]],\n        ),\n    )\n    print(\n        \"FINAL_FORCES\",\n        s.solution.report_definitions.compute(report_defs=force_names),\n    )\n    print(\n        \"BOUNDARY_MASS_FLOW\",\n        s.solution.report_definitions.compute(\n            report_defs=[\"fw_inlet_mass\", \"fw_outlet_mass\"]\n        ),\n    )\n    checked(\n        \"FINAL_SECTION_EXPORT\",\n        fluentagi.export_results(\n            directory=task_directory,\n            fields=[\"pressure\", \"velocity-magnitude\"],\n            surfaces=[section[\"surface\"]],\n        ),\n    )\n    paths = s.results.graphics.pathline\n    if paths.is_active():\n        path_name = \"front_wing_streamlines\"\n        if path_name not in paths.get_object_names():\n            paths[path_name] = {}\n        path = paths[path_name]\n        print(\"STREAMLINE_FIELDS\", getattr(path, \"child_names\", []))\n        print(\"STREAMLINE_STATE\", path.get_state())\nfinally:\n    s.file.stop_transcript()\n    s.file.write_case_data(\n        file_name=task_directory + r\"\\front_wing_flow_checkpoint.cas.h5\"\n    )\n\nprint(\"REFERENCE_AREA\", 1.2 * 0.46)\nprint(\"ANIMATION_PLANNED_DURATION\", 0.1)\nprint(\"VALIDATION\", {\n    \"all_steps_convergence_verified\": False,\n    \"mesh_independence_verified\": False,\n    \"near_wall_resolution_verified\": False,\n    \"streamline_export_verified\": False,\n})"}}, "error": "{\"status\": \"error\", \"stdout\": \"CURRENT_WALL_ZONES ['walls:011', 'walls:012', 'walls:013', 'walls:014', 'walls:015', 'walls:016', 'walls:017', 'walls:018', 'walls:019', 'walls:020', 'walls:021', 'walls:022', 'walls:023', 'walls:024', 'walls:025', 'walls:007:008', 'walls:007:009', 'walls:007:010', 'walls:007', 'walls']\\nCURRENT_SOLVER {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'steady'}\\nINITIAL_ITERATION_COUNT 0\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\before_front_wing_coordinate_setup.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,    23 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\n\", \"stderr\": \"\\nTraceback (most recent call last):\\n  File \\\"ansys\\\\fluent\\\\mcp\\\\solve\\\\backends\\\\pyfluent.py\\\", line 2793, in _do\\n    exec(  # noqa: S102  # nosec B102\\n  File \\\"<mcp>\\\", line 123, in <module>\\n  File \\\"ansys\\\\fluent\\\\core\\\\solver\\\\flobject.py\\\", line 1892, in __call__\\n    raise InactiveObjectError(self.python_path)\\nansys.fluent.core.solver.flobject.InactiveObjectError: '<session>.solution.report_definitions.compute' is currently inactive.\\n\", \"return_value\": null, \"message\": \"'<session>.solution.report_definitions.compute' is currently inactive.\", \"error_code\": \"execution_error\", \"warnings\": []}", "note": "可能有部分操作已生效，请先检查实时状态，修复后继续。"}, {"action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\nimport math\n\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142547-90d0a4\"\ns = solver.settings\n\ndef checked(label, result):\n    print(label, result)\n    if isinstance(result, dict):\n        if result.get(\"status\") in (\"error\", \"failed\", \"needs_review\"):\n            raise RuntimeError(str(result))\n        if result.get(\"error\") or result.get(\"errors\"):\n            raise RuntimeError(str(result))\n    return result\n\ndef numbers(value):\n    if isinstance(value, bool):\n        return []\n    if isinstance(value, (int, float)):\n        return [float(value)]\n    if isinstance(value, dict):\n        return [number for child in value.values() for number in numbers(child)]\n    if isinstance(value, (list, tuple)):\n        return [number for child in value for number in numbers(child)]\n    return []\n\ndef report_value(result, name):\n    if isinstance(result, dict):\n        if name in result:\n            values = numbers(result[name])\n            if values and math.isfinite(values[0]):\n                return values[0]\n        children = result.values()\n    elif isinstance(result, (list, tuple)):\n        children = result\n    else:\n        children = []\n    for child in children:\n        try:\n            return report_value(child, name)\n        except ValueError:\n            pass\n    raise ValueError(\"无法提取报告值：\" + name + \"；返回：\" + str(result))\n\ndef scalar(setting, value):\n    state = setting.get_state()\n    if isinstance(state, dict):\n        if \"value\" not in state:\n            raise RuntimeError(\"无法识别数值字段：\" + str(state))\n        update = {\"value\": value}\n        if \"option\" in state:\n            update[\"option\"] = \"value\"\n        setting.set_state(update)\n    else:\n        setting.set_state(value)\n\ndef vector(setting, values):\n    state = setting.get_state()\n    if isinstance(state, (list, tuple)):\n        setting.set_state(values)\n        return\n    if isinstance(state, dict):\n        for keys in [\n            [\"x\", \"y\", \"z\"],\n            [\"x_component\", \"y_component\", \"z_component\"],\n            [\"i\", \"j\", \"k\"],\n        ]:\n            if all(key in state for key in keys):\n                for key, value in zip(keys, values):\n                    scalar(getattr(setting, key), value)\n                return\n    raise RuntimeError(\"无法识别矢量字段：\" + str(state))\n\nif not s.setup.models.is_active():\n    raise RuntimeError(\"当前网格未激活。\")\n\nbc = s.setup.boundary_conditions\nreports = s.solution.report_definitions\nwall_names = bc.wall.get_object_names()\ninitial_iteration = s.solution.run_calculation.iter_count.get_state()\nprint(\"CURRENT_STATE\", {\n    \"walls\": wall_names,\n    \"iterations\": initial_iteration,\n    \"solver\": s.setup.general.solver.get_state(),\n    \"compute_active\": reports.compute.is_active(),\n})\ns.file.write_case(\n    file_name=task_directory + r\"\\before_report_activation_repair.cas.h5\"\n)\n\nif not reports.compute.is_active():\n    if initial_iteration != 0:\n        raise RuntimeError(\"已有迭代但报告不可用，停止以保护结果。\")\n    s.solution.initialization.hybrid_initialize()\n    print(\"INITIALIZATION_PERFORMED\", True)\nelse:\n    print(\"EXISTING_INITIALIZED_STATE_PRESERVED\", True)\n\nif not reports.compute.is_active():\n    raise RuntimeError(\"初始化后报告计算仍不可用。\")\n\nsurface_reports = reports.surface\nprobe_names = []\nfor axis in [\"x\", \"y\", \"z\"]:\n    for suffix, kind in [\n        (\"min\", \"surface-vertexmin\"),\n        (\"max\", \"surface-vertexmax\"),\n    ]:\n        name = \"fw_bound_\" + axis + \"_\" + suffix\n        if name not in surface_reports.get_object_names():\n            surface_reports[name] = {}\n        report = surface_reports[name]\n        report.report_type = kind\n        field = axis + \"-coordinate\"\n        if field not in report.field.allowed_values():\n            raise RuntimeError(\"坐标字段不可用：\" + field)\n        report.field = field\n        probe_names.append(name)\n\nbounds = {}\nfor zone in wall_names:\n    for name in probe_names:\n        surface_reports[name].surface_names = [zone]\n    result = reports.compute(report_defs=probe_names)\n    bounds[zone] = [report_value(result, name) for name in probe_names]\n    print(\"WALL_BOUNDS\", zone, bounds[zone])\n\nwing, ground, farfield = [], [], []\nfor zone, bound in bounds.items():\n    xmin, xmax, ymin, ymax, zmin, zmax = bound\n    if max(abs(ymin), abs(ymax)) < 1e-5:\n        ground.append(zone)\n    elif (\n        xmin > -0.031 and xmax < 0.491\n        and ymin > 0.089 and ymax < 0.351\n        and zmin > -0.619 and zmax < 0.619\n    ):\n        wing.append(zone)\n    else:\n        farfield.append(zone)\n\nprint(\"CLASSIFICATION\", {\"wing\": wing, \"ground\": ground, \"farfield\": farfield})\nif not wing or len(ground) != 1 or len(farfield) != 3:\n    raise RuntimeError(\"边界分类与设计不符。\")\n\nfor zone in wing + ground:\n    momentum = bc.wall[zone].momentum\n    momentum.shear_condition = \"No Slip\"\n    momentum.wall_motion = \"Stationary Wall\"\n\nmomentum = bc.wall[ground[0]].momentum\nmomentum.wall_motion = \"Moving Wall\"\nfor name in [\"relative\", \"rotating\", \"components\"]:\n    child = getattr(momentum, name)\n    if child.is_active():\n        child.set_state(False)\nscalar(momentum.speed, 30.0)\nvector(momentum.direction, [1.0, 0.0, 0.0])\nprint(\"GROUND_READBACK\", momentum.get_state())\n\nfor zone in farfield:\n    momentum = bc.wall[zone].momentum\n    momentum.wall_motion = \"Stationary Wall\"\n    momentum.shear_condition = \"Specified Shear\"\n    print(\"OUTER_WALL_READBACK\", zone, momentum.get_state())\n\ninlet = bc.velocity_inlet[\"inlet\"]\noutlet = bc.pressure_outlet[\"outlet\"]\nscalar(inlet.momentum.velocity, 30.0)\nscalar(outlet.momentum.gauge_pressure, 0.0)\ninlet.turbulence.turbulence_specification = \"Intensity and Viscosity Ratio\"\nscalar(inlet.turbulence.turbulent_intensity, 0.01)\nscalar(inlet.turbulence.turbulent_viscosity_ratio, 10.0)\n\nforce_names = []\nfor name, direction in [\n    (\"front_wing_drag_interface\", [1.0, 0.0, 0.0]),\n    (\"front_wing_lift_interface\", [0.0, 1.0, 0.0]),\n]:\n    if name not in reports.force.get_object_names():\n        reports.force[name] = {}\n    report = reports.force[name]\n    report.force_vector = direction\n    report.zones = wing\n    force_names.append(name)\n    print(\"FORCE_SCOPE\", name, report.get_state())\n\nmass_names = []\nfor name, zone in [(\"fw_inlet_mass\", \"inlet\"), (\"fw_outlet_mass\", \"outlet\")]:\n    if name not in surface_reports.get_object_names():\n        surface_reports[name] = {}\n    surface_reports[name].report_type = \"surface-massflowrate\"\n    surface_reports[name].surface_names = [zone]\n    mass_names.append(name)\n\ns.file.write_case_data(\n    file_name=task_directory + r\"\\front_wing_boundary_repair_ready.cas.h5\"\n)\nif initial_iteration != 0:\n    raise RuntimeError(\"检测到已有求解结果，已保留；不重复本轮首次求解流程。\")\n\nprint(\"RESIDUAL_SETTINGS\", s.solution.monitor.residual.get_state())\ns.setup.general.solver.time = \"steady\"\ns.file.start_transcript(\n    file_name=task_directory + r\"\\front_wing_repaired_flow.trn\"\n)\ntry:\n    for block in range(6):\n        s.solution.run_calculation.iterate(iter_count=50)\n        result = reports.compute(report_defs=force_names)\n        drag = report_value(result, force_names[0])\n        lift = report_value(result, force_names[1])\n        denominator = 0.5 * 1.225 * 30.0**2 * 0.552\n        print(\"FORCE_HISTORY\", {\n            \"iteration\": s.solution.run_calculation.iter_count.get_state(),\n            \"drag\": drag,\n            \"lift\": lift,\n            \"downforce\": -lift,\n            \"CD\": drag / denominator,\n            \"CL\": lift / denominator,\n        })\n    s.file.write_case_data(\n        file_name=task_directory + r\"\\front_wing_repaired_steady.cas.h5\"\n    )\n    section = checked(\n        \"CENTRAL_SECTION\",\n        fluentagi.create_section(axis=\"z\", position=0.0),\n    )\n    s.setup.general.solver.time = \"unsteady-2nd-order\"\n    s.solution.run_calculation.transient_controls.time_step_size = 0.0005\n    checked(\n        \"VELOCITY_SECTION_ANIMATION\",\n        fluentagi.record_animation(\n            directory=task_directory,\n            field=\"velocity-magnitude\",\n            frames=41,\n            steps_per_frame=5,\n            max_iter_per_step=40,\n            surfaces=[section[\"surface\"]],\n        ),\n    )\n    print(\"FINAL_FORCES\", reports.compute(report_defs=force_names))\n    mass_result = reports.compute(report_defs=mass_names)\n    print(\"MASS_FLOW_READBACK\", mass_result)\n    mass_values = [report_value(mass_result, name) for name in mass_names]\n    scale = max(abs(value) for value in mass_values)\n    print(\"RELATIVE_MASS_IMBALANCE\", abs(sum(mass_values)) / max(scale, 1e-20))\n    checked(\n        \"FINAL_SECTION_EXPORT\",\n        fluentagi.export_results(\n            directory=task_directory,\n            fields=[\"pressure\", \"velocity-magnitude\"],\n            surfaces=[section[\"surface\"]],\n        ),\n    )\n    paths = s.results.graphics.pathline\n    if paths.is_active():\n        name = \"front_wing_streamlines\"\n        if name not in paths.get_object_names():\n            paths[name] = {}\n        print(\"STREAMLINE_STATE\", paths[name].get_state())\n        print(\"STREAMLINE_FIELDS\", getattr(paths[name], \"child_names\", []))\nfinally:\n    s.file.stop_transcript()\n    s.file.write_case_data(\n        file_name=task_directory + r\"\\front_wing_repaired_flow_checkpoint.cas.h5\"\n    )\n\nprint(\"REFERENCE_AREA\", 0.552)\nprint(\"VALIDATION_PENDING\", [\n    \"all_step_convergence\",\n    \"force_stability\",\n    \"mesh_independence\",\n    \"near_wall_resolution\",\n    \"streamline_export\",\n])"}}, "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_STATE {'walls': ['walls:011', 'walls:012', 'walls:013', 'walls:014', 'walls:015', 'walls:016', 'walls:017', 'walls:018', 'walls:019', 'walls:020', 'walls:021', 'walls:022', 'walls:023', 'walls:024', 'walls:025', 'walls:007:008', 'walls:007:009', 'walls:007:010', 'walls:007', 'walls'], 'iterations': 0, 'solver': {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'steady'}, 'compute_active': False}\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\before_report_activation_repair.cas.h5\\\"\n…中间日志已省略，完整日志保存在任务目录…\n'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}]}}\\nSTREAMLINE_FIELDS ['name', 'uid', 'options', 'range', 'style_attribute', 'accuracy_control', 'plot', 'step', 'skip', 'coarsen', 'onzone', 'onphysics', 'field', 'release_from_surfaces', 'velocity_domain', 'color_map', 'draw_mesh', 'mesh_object', 'display_state_name', 'physics', 'geometry', 'surfaces', 'axes', 'curves']\\n\\nTranscript closed.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_repaired_flow_checkpoint.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,    23 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_repaired_flow_checkpoint.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\nDone.\\nREFERENCE_AREA 0.552\\nVALIDATION_PENDING ['all_step_convergence', 'force_stability', 'mesh_independence', 'near_wall_resolution', 'streamline_export']\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
【ChatGPT 回复】
ChatGPT 说：

求解脚本已执行结束并保存检查点。本轮保留当前解、不再推进时间，补充入口释放的三维流线图，并集中读回升阻力、质量不平衡和实际流动时间，避免关键结果被冗长日志遮住。

<fluent_code>
```python
# Use the existing connected PyFluent variable solver.
import math

task_directory = r"C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261018-142547-90d0a4"
s = solver.settings

def checked(label, result):
    print(label, result)
    if isinstance(result, dict):
        if result.get("status") in ("error", "failed", "needs_review"):
            raise RuntimeError(str(result))
        if result.get("error") or result.get("errors"):
            raise RuntimeError(str(result))
    return result

def numbers(value):
    if isinstance(value, bool):
        return []
    if isinstance(value, (int, float)):
        return [float(value)]
    if isinstance(value, dict):
        return [number for child in value.values() for number in numbers(child)]
    if isinstance(value, (list, tuple)):
        return [number for child in value for number in numbers(child)]
    return []

def value_of(result, name):
    if isinstance(result, dict):
        if name in result:
            values = numbers(result[name])
            if values and math.isfinite(values[0]):
                return values[0]
        children = result.values()
    elif isinstance(result, (list, tuple)):
        children = result
    else:
        children = []
    for child in children:
        try:
            return value_of(child, name)
        except ValueError:
            pass
    raise ValueError("无法提取报告：" + name + "；返回：" + str(result))

if not s.setup.models.is_active():
    raise RuntimeError("当前网格未激活。")

reports = s.solution.report_definitions
if not reports.compute.is_active():
    raise RuntimeError("当前解的报告不可用；停止，不执行初始化。")

print("CURRENT_SOLVER", s.setup.general.solver.get_state())
print("CURRENT_ITERATION", s.solution.run_calculation.iter_count.get_state())
print(
    "CURRENT_TRANSIENT_CONTROLS",
    s.solution.run_calculation.transient_controls.get_state(),
)

force_names = ["front_wing_drag_interface", "front_wing_lift_interface"]
for name in force_names:
    if name not in reports.force.get_object_names():
        raise RuntimeError("缺少已配置的前翼受力报告：" + name)

wing_zones = reports.force[force_names[0]].zones.get_state()
lift_zones = reports.force[force_names[1]].zones.get_state()
if not wing_zones or set(wing_zones) != set(lift_zones):
    raise RuntimeError("升阻力统计区域为空或不一致。")
print("WING_FORCE_ZONES", wing_zones)

force_result = reports.compute(report_defs=force_names)
drag, lift = [value_of(force_result, name) for name in force_names]
reference_area = 0.552
denominator = 0.5 * 1.225 * 30.0**2 * reference_area
print("AERODYNAMIC_READBACK", {
    "drag": drag,
    "lift": lift,
    "downforce": -lift,
    "CD": drag / denominator,
    "CL": lift / denominator,
    "reference_area": reference_area,
})

mass_names = ["fw_inlet_mass", "fw_outlet_mass"]
if all(name in reports.surface.get_object_names() for name in mass_names):
    mass_result = reports.compute(report_defs=mass_names)
    mass_values = [value_of(mass_result, name) for name in mass_names]
    imbalance = abs(sum(mass_values)) / max(
        max(abs(value) for value in mass_values), 1e-20
    )
    print("MASS_BALANCE_READBACK", {
        "inlet": mass_values[0],
        "outlet": mass_values[1],
        "relative_imbalance": imbalance,
    })

time_reports = reports.time
time_name = "front_wing_actual_flow_time"
if name not in []:
    if time_name not in time_reports.get_object_names():
        time_reports[time_name] = {}
time_report = time_reports[time_name]
if "report_type" in getattr(time_report, "child_names", []):
    options = time_report.report_type.allowed_values()
    selected = [
        option for option in options
        if option in ["flow-time", "flow_time", "time-flow-time"]
    ]
    if selected:
        time_report.report_type = selected[0]
        print(
            "ACTUAL_FLOW_TIME",
            reports.compute(report_defs=[time_name]),
        )
    else:
        print("TIME_REPORT_OPTIONS", options)
else:
    print("TIME_REPORT_STATE", time_report.get_state())

paths = s.results.graphics.pathline
if not paths.is_active():
    raise RuntimeError("当前解的原生流线对象不可用。")

path_name = "front_wing_streamlines"
if path_name not in paths.get_object_names():
    paths[path_name] = {}
path = paths[path_name]
if "velocity-magnitude" not in path.field.allowed_values():
    raise RuntimeError("流线着色字段不可用。")
path.field = "velocity-magnitude"
path.release_from_surfaces = ["inlet"]
print("STREAMLINE_CONFIGURATION", {
    "field": path.field.get_state(),
    "release_from_surfaces": path.release_from_surfaces.get_state(),
    "step": path.step.get_state(),
    "skip": path.skip.get_state(),
})
for name in ["options", "accuracy_control"]:
    child = getattr(path, name)
    if child.is_active():
        print("STREAMLINE_CONTROL", name, child.get_state())

views = s.results.graphics.views
views.restore_view(view_name="isometric")
views.auto_scale()
paths.display(object_name=path_name)
views.auto_scale()

picture = s.results.graphics.picture
commands = getattr(picture, "command_names", [])
if "save_picture" not in commands:
    raise RuntimeError("当前原生图片保存命令不可用。")
command = picture.save_picture
if "file_name" not in getattr(command, "argument_names", []):
    raise RuntimeError("图片保存命令参数不匹配。")
streamline_file = task_directory + r"\front_wing_streamlines.png"
print("STREAMLINE_PICTURE_RESULT", command(file_name=streamline_file))
print("STREAMLINE_PICTURE_REQUESTED", streamline_file)

checked(
    "WING_SURFACE_EXPORT",
    fluentagi.export_results(
        directory=task_directory,
        fields=["pressure", "velocity-magnitude"],
        surfaces=wing_zones,
    ),
)

s.file.write_case_data(
    file_name=task_directory + r"\front_wing_postprocessed_checkpoint.cas.h5"
)
print("POSTPROCESSING_SCOPE", {
    "initialized": False,
    "advanced_time_steps": 0,
    "streamlines": "instantaneous_velocity_field",
    "force_stability_verified": False,
    "all_step_convergence_verified": False,
    "mesh_independence_verified": False,
})
```
</fluent_code>

<final_answer>本脚本补充当前瞬时速度场的三维流线及前翼表面出图，并读回实际气动力与质量平衡，不重复初始化或计算。已有动画是截面速度随时间变化；本轮流线图不能代表完整非定常粒子轨迹。执行成功仍不等于气动力已收敛。</final_answer>

round-09
【发送给 ChatGPT】
You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout:

<fluent_code>

```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.
```

</fluent_code>

Put a newline before and after each tag and each fence. Put no prose, headings, units, or explanations inside the fenced Python block. Do not place ```python and Python statements on the same line. Keep the script under 280 lines. Use loops instead of repeating similar statements. Never truncate a string, parenthesis, or code fence; always close </fluent_code>.
Use the existing solver session and compatible PyFluent APIs. A completed conversation turn does not close the session. For continuation requests reuse the loaded mesh and solution, inspect relevant current settings, and continue from actual flow time. Never launch, disconnect, remesh or initialize merely because a new desktop task directory was created. Do not launch or close Fluent. Do not use Abaqus APIs. Use solver.settings APIs and the provided fluentagi adapters. Direct solver.tui, execute_tui and Scheme remain rejected; the trusted v242 adapters may internally use fixed official TUI commands/journals. For mesh display use solver.settings.results.graphics.mesh and graphics.views APIs. Do not return JSON tool plans. Do not invent mesh files or API names. Only operate on the requested case and task directory. Preserve existing results. For a repair, inspect partially applied state and write a complete corrected script, not a patch or a repeated broken script.
The web AI cannot read or modify host application source. Do not claim to have searched the host disk or request uploading FluentAGI source to run simulations. Use the verified runtime adapters. Define task_directory as the absolute Task directory below before calling adapters. For VOF surface tension use fluentagi.configure_surface_tension(directory=task_directory,coefficient=0.072,phase_a="phase-1",phase_b="phase-2"); coefficient is N/m, replace the example with the requested value. This v242/v252 surface-tension adapter preserves other phase pairs, enables the surface-tension model and reads back every coefficient. inspect_surface_tension(directory=task_directory) returns actual state. Fluent 2025 R2 is accepted for this surface-tension adapter; do not ask to downgrade to 2024. Other Lee/DPM adapters retain their own version restrictions. Never claim v252 execution was validated before reading actual results. Do not ask the user to edit the plugin or click GUI dialogs for this supported operation.
Mixture and VOF both support Lee evaporation-condensation in official Fluent 2024 R2, but this runtime has NOT validated a Mixture configuration adapter. Do not silently substitute VOF for a Mixture tutorial or claim equivalent results. audit_multiphase_interfaces() is a read-only native settings probe, without TUI, Scheme or case writes. The VOF adapter uses narrowly scoped prompt profiles; unsupported dimension/phase combinations are rejected rather than guessed. For three-phase boiling setup in Fluent 2024 R2, use fluentagi.configure_three_phase_materials(directory=task_directory, materials=["air", "water-liquid", "water-vapor"]) to create actual phase-1/2/3 domains and verify material assignments. For an existing three-phase model, fluentagi.assign_multiphase_materials(materials=[...], directory=task_directory) assigns materials without changing the phase count. Then call fluentagi.configure_evaporation_condensation(directory=task_directory, saturation_temperature=T_sat_K, evaporation_frequency=from_frequency_per_second, condensation_frequency=to_frequency_per_second, from_phase="phase-2", to_phase="phase-3"). Pass the user's specified temperature/frequencies; preserve their geometry, heating and calculation parameters. This verified v242 VOF Lee adapter enables energy, uses a fixed official TUI journal and verifies the phase pair, constant saturation temperature, both frequencies and Lee model by an independent case snapshot. It does not initialize or advance the simulation. Do not say this feature is unavailable because direct TUI is forbidden; use the adapter. fluentagi.inspect_phase_change(directory=task_directory) returns actual phases and mass transfer settings, refreshing a unique case snapshot. Do not replace existing unrelated mechanisms. This adapter supports one Lee mass transfer pair, not Eulerian wall boiling, semi-mechanistic wall boiling, pressure-dependent saturation tables or UDFs. Do not claim a complete validated boiling simulation from successful setup alone. initialize_air is a TWO-PHASE adapter; do not use it for three-phase cases. Use verified settings initialization and phase-aware patching only for requested new calculations.
The runtime provides fluentagi.assign_phase_materials(primary="air", secondary="water-liquid", directory=task_directory), fluentagi.inspect_phases(), and fluentagi.export_results(directory=task_directory, fields=["pressure", "velocity-magnitude"]). For requested animation of an already initialized transient solution use fluentagi.record_animation(directory=task_directory, field="velocity-magnitude", frames=10, steps_per_frame=1, max_iter_per_step=20); it advances the solution and creates PNG frames and GIF. Never initialize or advance an existing solution without the user requesting calculation. These are executable verified adapters, not prose instructions. Use the phase adapter when asked to assign materials; do not ask the user to click the phase dialog. Print returned results. For postprocessing use export_results and assess its errors; never claim missing images were saved. Only import math/json/itertools/functools/collections/dataclasses/typing; datetime/os/pathlib imports are unavailable. Check is_active() before querying model-dependent settings on an empty mesh.
For NEW planar geometry and meshing use mesh = fluentagi.build_planar(directory=task_directory, points=[[x,y],...], inlet_edges=[0], outlet_edges=[2], size=0.001). Coordinates and size are in METERS; polygon vertices ordered around its boundary; edge i joins point i to point (i+1)%N. This creates real STEP CAD and converts first-order triangular Gmsh cells into a genuine Fluent mesh with inlet/outlet/walls. Then solver.settings.file.read_mesh(file_name=mesh["mesh_file"]), solver.settings.mesh.check(), configure physics, initialize, iterate, and export_results. Save current case/data before replacing loaded geometry. Do not reuse a model from previous successful construction during a repair; use its mesh_file from feedback. For curved planar CAD, use fluentagi.geometry_mesh(directory=task_directory,code=gmsh_script_string); the worker has gmsh,math,output_dir already, no imports; create OCC geometry and physical line groups named inlet,outlet,walls, export STEP, generate first-order triangular or quadrilateral mesh(2). Returned mesh_file is Fluent format; gmsh-native.msh is NOT Fluent format. 3D modeling and volume mesh conversion are now implemented. fluentagi.build_volume(directory=task_directory, shape="box",length=0.1,width=0.02,height=0.02,size=0.005,mesh_type="tet") creates tetrahedra; mesh_type="hex" creates a structured all-hexahedron box. shape="cylinder",radius=0.01 supports tetrahedra with axis along +X. Inlet is X=0 and outlet X=length. fluentagi.build_extruded(directory=task_directory,points=[[x,y],...],inlet_edges=[0],outlet_edges=[2],depth=0.01,size=0.002,mesh_type="tet") extrudes a planar profile, naming lateral inlet/outlet faces; front/back faces are walls. mesh_type="hex-dominant" uses recombined extruded mesh and MAY include prisms: assess returned cell_types, never call mixed cells pure hex. geometry_mesh supports arbitrary OCC volumes (boolean unions/cuts), physical SURFACE groups inlet/outlet/walls, and mesh.generate(3), first-order tet/hex/prism/pyramid. Imported STEP is not currently supported by the restricted worker. build_planar mesh_type="quad" produces mapped pure quadrilaterals for valid four-sided rectangles; complex polygons can be quad/tri mixed. 2D uses triangles/quads, 3D uses tet/hex. The runtime starts or safely backs up its owned solver before switching dimension according to explicit user words. Do not request user-supplied 3D mesh for supported geometry. Save backups before replacing any loaded mesh. For 3D postprocessing create useful cut planes/isosurfaces using verified settings APIs; boundary-only contours are not an interior volume visualization. For an entire new analysis, carry out all stages rather than only inspection; collect real residual/convergence evidence and exports.
For water-air transient filling, call fluentagi.configure_water_air(directory=task_directory,velocity=0.05,time_step=0.001,gravity_y=-9.81,inlet="inlet",outlet="outlet"). This backs up and sets laminar VOF, materials, phase-aware inlet/outlet, gravity and timestep; does NOT initialize or erase existing solution. For requested NEW filling use fluentagi.initialize_air(directory=task_directory), which saves a backup, hybrid initializes and patches phase-2 volume fraction to zero across all fluid cell zones. Never initialize_air on existing results without an explicit restart request. Fluent v242 contour fields are phase-2-vof (water, only after confirming phase-2=water-liquid) and phase-1-vof (air); do not confuse them. Query real contour field.allowed_values for VOF fields. For 3D interior contours/animation use section=fluentagi.create_section(axis="z",position=depth/2), then export_results(...,surfaces=[section["surface"]]) or record_animation(...,surfaces=[section["surface"]]). A plane section is not full volumetric rendering; report it accurately. Frames are 2..60. Each frame after the first advances steps_per_frame real time steps; final time is initial time+(frames-1)*steps_per_frame*time_step. Do not claim the pipe fills if the simulated duration is too short. Normalize typos like "二维四面体" by explaining 2D triangular equivalent; if depth/3D was explicitly requested, use volume tools.
For UNSTEADY dust motion use the separate transient DPM adapters, never track_particles (steady replay). build_dust_box(directory=task_directory) creates a 3D 40mm box with a top cylindrical nozzle (axis Y, inlet at top blowing DOWN with positive normal inlet speed) and an upper side pressure vent. Save existing case before reading its mesh_file. geometry parameters are SI and can be passed as named arguments. Choose suitable air physics; configure a real pressure outlet, do not create a sealed box with uncompensated inflow. configure_transient_dust(directory=task_directory,region_min=[.012,.003,.012],region_max=[.028,.004,.028],counts=[2,2,2],release_time=.02,release_duration=.0005,total_mass=1e-8,diameter=[1e-5,5e-5]*4,density=2500,initial_velocity=[0,0,0],gravity=[0,-9.81,0],time_step=.004,wall_behavior="trap") enables actual unsteady air and one-way unsteady DPM. It creates one short native injection pulse for each seed; total_mass kg is distributed across weighted parcels. It accepts explicit points instead of a region. The entire release pulse must fit inside one physical dt. Does NOT initialize. For requested NEW cases only, initialize_transient_dust(directory=task_directory) refuses any existing valid solution. Then advance_transient_dust(directory=task_directory,until_time=.2,max_iter_per_step=200,residual_tolerance=.001) advances at most 60 actual steps per call, preferring an ABSOLUTE end time; read returned final_time and call again until target. Already reached until_time does not advance again. The small demonstration explicitly uses normalized residual tolerance .001; honor stricter user requirements and never silently relax them. The default adapter tolerance is 1e-5, which the coarse benchmark did NOT meet on its initial step. Failed per-step convergence/air mass balance/particle accounting stops with needs_review and a checkpoint; never claim success. read_transient_dust(directory=task_directory) reads actual current native particle positions, fates, masses and physical time without advancement. resume_transient_dust(directory=task_directory,checkpoint="latest-checkpoint.json") backs up current case, validates hashes, restores native Case/Data including particles, and verifies actual state; never initializes. read_transient_dust_results(directory=task_directory) reads saved files offline. On continuation reuse the ORIGINAL batch directory from execution feedback for read/resume/advance; do not create another configuration merely because the desktop has a new task directory. Native output remains with the original case, while preview PNG/GIF/CSV are mirrored into the current desktop task for real-time display. Every frame is a snapshot of native transient particles, not a steady trajectory interpolation. Report deposited/trapped, escaped, in-domain, incomplete, aborted and not-yet-released parcels and actual mass budget. Caption all runs "预先释放悬浮颗粒，非积尘再悬浮". Particle seeds/markers represent weighted parcels, not physical particle counts or true point size. Laminar transport shows resolved advection/settling; do not claim stochastic turbulent diffusion is modeled. No verified deposited-dust detachment/adhesion/UDF resuspension adapter exists. Never add an upward initial velocity and call it resuspension. Preserve steady DPM as a distinct path.
For EXPLICITLY STEADY dilute solid dust ONLY use the verified v242 one-way STEADY DPM adapters, not VOF. First inspect_dpm(). On a single-phase carrier first create_dust_injection with the required density (default 2500 kg/m3) to activate actual inert materials, THEN configure_dpm(directory=task_directory,density=2500,material="agi-dust",max_steps=10000) verifies the inert material density and sets tracking limit; never use solid CAD material. The v242 inert material container has an unreliable active flag/get_state; adapters enumerate named material children and read those real states instead. Never query the entire inert material container. create_dust_injection(directory=task_directory,name="dust",start=[0.00001,0.003,0.01],end=[0.00001,0.017,0.01],streams=12,diameter=0.00005,mass_flow=0.0000001,velocity=[0.5,0,0],material="agi-dust") creates a real group injection. Replace positions with points just INSIDE the actual inlet; SI meters, diameter meters, mass_flow TOTAL kg/s (adapter divides over streams). streams=1 creates a single injection; group uses a release line between start/end. Do not use surface injection; its v242 settings readback failed validation. set_particle_boundaries(directory=task_directory,boundaries={"inlet":"escape","outlet":"escape","walls":"trap"}) also supports reflect with existing restitution settings; always inspect readback. Never silently change an existing multiphase or coupled DPM model. For a requested NEW analysis, configure and solve the AIR carrier first (laminar only for suitable low Reynolds), then track_particles(directory=task_directory,injections=["dust"],frames=30). This tracks native DPM trajectories, exports tracks.csv/json, native summary text, statistics and PNG/GIF. It does NOT initialize or advance the carrier. Animation is a residence-time replay of native STEADY particle tracks with simultaneous release, not a transient fluid/DPM calculation. Never use air pathlines or a continuous-phase contour as dust motion. Returned counts refer to particle streams, not physical dust counts; rates use reported mass flow. Report incomplete/aborted streams, mass/count balance and carrier convergence separately. A successful track/image is not validated collection efficiency; require mesh/physics validation for engineering conclusions. Preserve results; use a new injection name if its parameters change.
End with <final_answer>Chinese explanation of the intended changes, without claiming execution success</final_answer>.
If essential input or an incompatible session prevents a valid script, return only <question>the specific missing input in Chinese</question>.
After the desktop returns execution results, either provide a corrected script or return only <final_answer>a Chinese assessment supported by those results</final_answer>. Do not execute the same successful script again. Successful execution alone does not prove convergence.

Previous conversation and execution context (reference only; do not repeat successful scripts):
[{"user": "好的"}, {"assistant": "已确认采用30 m/s来流、1.2 m总宽、0.1 m离地高度和移动地面。但当前几何适配器仅声明支持 inlet、outlet、walls 三类边界，尚未确认能将前翼、地面和远场分别分组；这关系到移动地面设置及单独统计前翼升阻力。能否提供运行端支持独立壁面分组的能力反馈？否则无法可靠生成满足这些要求的完整脚本。", "run_directory": "C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142517-f253e1"}, {"user": "所有参数都是你来设计。"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_MODEL_ACTIVE False\\nREPAIRED_FRONT_WING_MESH {'files': ['C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\cad-d1bc89e9\\\\\\\\fluent.msh', 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\cad-d1bc89e9\\\\\\\\front-wing.step'], 'log': 'lane, Frontal-Delaunay)\\\\nInfo    : Done meshing 2D (Wall 0.31698s, CPU 0s)\\\\nInfo    : Meshing 3D...\\\\nInfo    : 3D Meshing 1 vol\n…中间日志已省略，完整日志保存在任务目录…\nS list_1 []\\nREPORT_drag_ARGUMENTS list_properties_1 ['object_name']\\nREPORT_drag_ARGUMENTS make_a_copy ['from_', 'to']\\nGRAPHICS_ACTIVE True\\nGRAPHICS_CHILDREN ['mesh', 'contour', 'vector', 'pathline', 'particle_track', 'lic', 'olic', 'volumes', 'contours', 'particle_tracks', 'colors', 'lighting', 'picture', 'views', 'windows', 'raytracing_options', 'pulse', 'periodic_instancing']\\nGRAPHICS_COMMANDS []\\nGRAPHICS_QUERIES []\\nGRAPHICS_pathline_ACTIVE False\\nGRAPHICS_pathline_CHILDREN []\\nGRAPHICS_pathline_COMMANDS ['delete', 'rename', 'list_1', 'list_properties_1', 'make_a_copy', 'display', 'copy', 'add_to_graphics', 'clear_history']\\nGRAPHICS_pathline_QUERIES []\\nGRAPHICS_pathline_ARGUMENTS delete ['name_list']\\nGRAPHICS_pathline_ARGUMENTS rename ['new', 'old']\\nGRAPHICS_pathline_ARGUMENTS list_1 []\\nGRAPHICS_pathline_ARGUMENTS list_properties_1 ['object_name']\\nGRAPHICS_pathline_ARGUMENTS make_a_copy ['from_', 'to']\\nGRAPHICS_pathline_ARGUMENTS display ['object_name']\\nGRAPHICS_pathline_ARGUMENTS copy ['from_name', 'new_name']\\nGRAPHICS_pathline_ARGUMENTS add_to_graphics ['object_name']\\nGRAPHICS_pathline_ARGUMENTS clear_history ['object_name']\\nDESIGN {'velocity': 30.0, 'span': 1.2, 'main_chord': 0.32, 'flap_chord': 0.14, 'main_angle': 8.0, 'flap_angle': 20.0, 'endplate_clearance': 0.1, 'maximum_volume_cells': 180000}\\nSTAGE mesh_repair_and_native_interface_readback\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"SOLVER_STATE {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'steady'}\\nWALL_ZONES ['walls']\\nINLET_ZONES ['inlet']\\nOUTLET_ZONES ['outlet']\\nMESH_CHILDREN ['adapt', 'anisotropic_adaption', 'check_before_solve', 'check_verbosity', 'enhanced_orthogonal_quality', 'matching_tolerance', 'modify_zones', 'show_periodic_shadow_zones', 'reorder', 'repair_improve', 'surface_mesh', 'polyhedra', 'wall_distance_method']\\nMESH_COMMANDS ['adjacency', 'c\n…中间日志已省略，完整日志保存在任务目录…\n-kl-w', 'transition-sst', 'reynolds-stress', 'scale-adaptive-simulation', 'detached-eddy-simulation', 'large-eddy-simulation']\\nVISCOUS_CHILDREN ['model', 'spalart_allmaras_production', 'k_epsilon_model', 'k_omega_model', 'k_omega_options', 'geko_options', 'rng_options', 'near_wall_treatment', 'reynolds_stress_model', 'subgrid_scale_model', 'les_model_options', 'reynolds_stress_options', 'rans_model', 'des_options', 'transition_module', 'hybrid_rans_les', 'sbes_options', 'user_defined_transition', 'options', 'multiphase_turbulence', 'turbulence_expert', 'transition_model_options', 'transition_sst_option', 'user_defined', 'sa_enhanced_wall_treatment', 'sa_damping']\\nRUN_CALCULATION_STATE {'pseudo_time_settings': {'verbosity': 0, 'time_step_method': {'time_step_method': 'automatic', 'length_scale_methods': 'conservative', 'time_step_size_scale_factor': 1.0}}, 'iter_count': 0, 'reporting_interval': 1, 'profile_update_interval': 1, 'data_sampling': {'enabled': False}}\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_boundary_force_interface.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,     4 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE boundary_separation_and_force_field_readback\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"WALL_ZONES ['walls']\\nITERATION_COUNT 0\\nMODIFY_ZONE_CHILDREN []\\nSEPARATION_COMMAND_NAMES ['sep_cell_zone_mark', 'sep_cell_zone_region', 'sep_face_zone_angle', 'sep_face_zone_face', 'sep_face_zone_mark', 'sep_face_zone_region']\\nSEPARATION_COMMAND sep_cell_zone_mark ['cell_zone_name', 'register', 'move_faces']\\nSEPARATION_ARGUMENT sep_cell_zone_mark cell_zone_name []\\nSEPARATION_ARGUMENT sep_cell_zone_mark register []\\nSEPARATION_ARGUMENT sep_cell_zone_mark mov\n…中间日志已省略，完整日志保存在任务目录…\nGUMENT sep_face_zone_mark face_zone_name []\\nSEPARATION_ARGUMENT sep_face_zone_mark register_name []\\nSEPARATION_ARGUMENT sep_face_zone_mark move_faces []\\nSEPARATION_COMMAND sep_face_zone_region ['face_zone_name', 'move_faces']\\nSEPARATION_ARGUMENT sep_face_zone_region face_zone_name []\\nSEPARATION_ARGUMENT sep_face_zone_region move_faces []\\nFORCE_DEFINITION front_wing_drag_interface {'name': 'front_wing_drag_interface', 'force_vector': [1, 0, 0], 'reference_frame': 'global', 'zones': None, 'per_zone': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nFORCE_DEFINITION front_wing_lift_interface {'name': 'front_wing_lift_interface', 'force_vector': [0.0, 1.0, 0.0], 'reference_frame': 'global', 'zones': None, 'per_zone': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nMOVING_WALL_FIELDS ['wall_motion', 'speed', 'rotation_speed', 'rotation_axis_direction', 'direction', 'velocity_components']\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_separation_arguments.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,     4 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE targeted_boundary_separation_arguments\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_WALL_ZONES ['walls']\\nCURRENT_ITERATIONS 0\\nCURRENT_MODELS {'model': 'k-omega', 'k_omega_model': 'sst', 'k_omega_options': {'kw_low_re_correction': False}, 'near_wall_treatment': {'wall_omega_treatment': 'correlation'}, 'transition_module': 'none', 'options': {'curvature_correction': False, 'corner_flow_correction': False, 'production_kato_launder_enabled': False, 'production_limiter': {'enabled': True, 'clip_factor': 10.0}}, 'turbulence_expert': {'turb_\n…中间日志已省略，完整日志保存在任务目录…\n-vertexavg', 'surface-vertexmax', 'surface-vertexmin', 'surface-volumeflowrate']\\nCOORDINATE_REPORT_OPTIONS surface_names ['walls:011', 'walls:012', 'walls:013', 'walls:014', 'walls:015', 'walls:016', 'walls:017', 'walls:018', 'walls:019', 'walls:020', 'walls:021', 'walls:022', 'walls:023', 'walls:024', 'walls:025', 'walls:007:008', 'walls:007:009', 'walls:007:010', 'walls:007', 'inlet', 'outlet', 'walls']\\nWALL_MOTION_OPTIONS ['Stationary Wall', 'Moving Wall']\\nWALL_MOMENTUM_FIELDS ['wall_motion', 'moving', 'relative', 'rotating', 'components', 'speed', 'rotation_speed', 'rotation_axis_origin', 'rotation_axis_direction', 'direction', 'velocity_components', 'shear_condition', 'fsi_interface', 'periodic_displacement', 'periodic_imaginary_displacement', 'frequency', 'amplitude', 'nodal_diam', 'passage_number', 'fwd', 'aero', 'cmplx', 'norm', 'method', 'shear_stress', 'fslip', 'eslip', 'surface_tension_gradient', 'specified_shear', 'specularity_coeff', 'mom_accommodation_coeff']\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_partitioned_air_setup.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,    23 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE native_wall_partition_and_air_setup\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_STATE {'walls': ['walls:011', 'walls:012', 'walls:013', 'walls:014', 'walls:015', 'walls:016', 'walls:017', 'walls:018', 'walls:019', 'walls:020', 'walls:021', 'walls:022', 'walls:023', 'walls:024', 'walls:025', 'walls:007:008', 'walls:007:009', 'walls:007:010', 'walls:007', 'walls'], 'iterations': 0, 'solver': {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'steady'}, 'compute_active': False}\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\1397\n…中间日志已省略，完整日志保存在任务目录…\nsymbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}]}}\\nSTREAMLINE_FIELDS ['name', 'uid', 'options', 'range', 'style_attribute', 'accuracy_control', 'plot', 'step', 'skip', 'coarsen', 'onzone', 'onphysics', 'field', 'release_from_surfaces', 'velocity_domain', 'color_map', 'draw_mesh', 'mesh_object', 'display_state_name', 'physics', 'geometry', 'surfaces', 'axes', 'curves']\\n\\nTranscript closed.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_repaired_flow_checkpoint.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,    23 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_repaired_flow_checkpoint.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\nDone.\\nREFERENCE_AREA 0.552\\nVALIDATION_PENDING ['all_step_convergence', 'force_stability', 'mesh_independence', 'near_wall_resolution', 'streamline_export']\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
Runtime capabilities:
{"protocol": "FluentAGI-capabilities-v1", "session": {"connected": true, "mode": "launch"}, "geometry": {"worker": "gmsh isolated process", "imports": [], "builtins": ["range", "len", "int", "float", "str", "list", "tuple", "enumerate", "zip", "min", "max", "abs", "round", "RuntimeError", "ValueError", "print", "set", "sum", "sorted", "bool", "all", "any"], "physical_groups": ["inlet", "outlet", "walls"], "cell_types": ["triangle", "quadrilateral", "tetrahedron", "hexahedron", "prism", "pyramid"]}, "script": {"imports": ["math", "json", "itertools", "functools", "collections", "dataclasses", "typing"], "adapters": ["build_dust_box", "configure_transient_dust", "initialize_transient_dust", "read_transient_dust", "advance_transient_dust", "resume_transient_dust", "read_transient_dust_results", "inspect_dpm", "configure_dpm", "create_dust_injection", "set_particle_boundaries", "track_particles", "build_planar", "build_volume", "build_extruded", "geometry_mesh", "configure_water_air", "initialize_air", "record_animation", "export_results", "assign_phase_materials", "assign_multiphase_materials", "configure_three_phase_materials", "audit_multiphase_interfaces", "configure_evaporation_condensation", "inspect_phase_change", "configure_surface_tension", "inspect_surface_tension"]}, "generated_at": 1792304747.7744308, "phase_change": {"version": "v242", "model": "Lee", "adapter_multiphase_models": ["vof"], "mixture_officially_available": true, "mixture_adapter_validated": false, "two_phase_2d_correction_runtime_validation": "pending", "automatic_model_switch": false, "phases": [2, 3], "saturation": "constant K", "frequencies": "positive finite 1/s", "mass_transfer_pairs": 1, "internal_official_tui": true, "generated_direct_tui": false, "readback": "unique case snapshot", "initializes": false}, "surface_tension": {"version": "v242/v252", "runtime_validation": {"v242": "previous native validation", "v252": "official command and generated SDK checked; customer runtime readback required"}, "model": "VOF", "coefficient": "nonnegative finite N/m", "preserves_other_pairs": true, "readback": "unique case snapshot", "initializes": false}, "transient_dpm": {"version": "v242", "model": "unsteady single-phase carrier + transient one-way inert DPM", "release": "one short native pulse per explicit point / region grid, max 64 weighted parcels", "chunk_steps": 60, "positions": "native current positions at actual physical time; never steady replay", "checkpoint": "unique Case/Data plus SHA256 and particle-state readback", "acceptance": "each-step residuals, native air mass flux, particle mass/count fate closure", "default_residual_tolerance": 1e-05, "benchmark_residual_tolerance": 0.001, "strict_1e_5_initial_step_validated": false, "resuspension_validated": false, "stochastic_turbulent_dispersion_validated": false}, "dpm": {"version": "v242", "carrier": "single phase, one-way, steady inert dust", "injection_types": ["single", "group"], "surface_injection_validated": false, "boundary_types": ["reflect", "trap", "escape"], "trajectory_source": "native GetParticleTracksField RPC", "animation": "steady DPM trajectory residence-time replay, no carrier advance", "transient_dpm_validated": false, "two_way_validated": false, "readback": true, "active": false}, "fluent_version": "Ansys Fluent 2024 R2", "model_active": false}
Current session:
{"connected": true, "dimension": 3, "mode": "solver", "owned": true, "continuation": true}
Task directory:
C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261018-142547-90d0a4
Current request:
所有参数都是你来设计。
Desktop execution feedback:
[{"action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\nimport math\n\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142547-90d0a4\"\ns = solver.settings\n\ndef checked(label, result):\n    print(label, result)\n    if isinstance(result, dict):\n        if result.get(\"status\") in (\"error\", \"failed\", \"needs_review\"):\n            raise RuntimeError(str(result))\n        if result.get(\"error\") or result.get(\"errors\"):\n            raise RuntimeError(str(result))\n    return result\n\ndef numbers(value):\n    if isinstance(value, bool):\n        return []\n    if isinstance(value, (int, float)):\n        return [float(value)]\n    if isinstance(value, dict):\n        return [number for child in value.values() for number in numbers(child)]\n    if isinstance(value, (list, tuple)):\n        return [number for child in value for number in numbers(child)]\n    return []\n\ndef report_value(result, name):\n    if isinstance(result, dict):\n        if name in result:\n            values = numbers(result[name])\n            if values and math.isfinite(values[0]):\n                return values[0]\n        children = result.values()\n    elif isinstance(result, (list, tuple)):\n        children = result\n    else:\n        children = []\n    for child in children:\n        try:\n            return report_value(child, name)\n        except ValueError:\n            pass\n    raise ValueError(\"无法提取报告值：\" + name + \"；返回：\" + str(result))\n\ndef scalar(setting, value):\n    state = setting.get_state()\n    if isinstance(state, dict):\n        if \"value\" not in state:\n            raise RuntimeError(\"无法识别数值字段：\" + str(state))\n        update = {\"value\": value}\n        if \"option\" in state:\n            update[\"option\"] = \"value\"\n        setting.set_state(update)\n    else:\n        setting.set_state(value)\n\ndef vector(setting, values):\n    state = setting.get_state()\n    if isinstance(state, (list, tuple)):\n        setting.set_state(values)\n        return\n    if isinstance(state, dict):\n        for keys in [\n            [\"x\", \"y\", \"z\"],\n            [\"x_component\", \"y_component\", \"z_component\"],\n            [\"i\", \"j\", \"k\"],\n        ]:\n            if all(key in state for key in keys):\n                for key, value in zip(keys, values):\n                    scalar(getattr(setting, key), value)\n                return\n    raise RuntimeError(\"无法识别矢量字段：\" + str(state))\n\nif not s.setup.models.is_active():\n    raise RuntimeError(\"当前网格未激活。\")\n\nbc = s.setup.boundary_conditions\nreports = s.solution.report_definitions\nwall_names = bc.wall.get_object_names()\ninitial_iteration = s.solution.run_calculation.iter_count.get_state()\nprint(\"CURRENT_STATE\", {\n    \"walls\": wall_names,\n    \"iterations\": initial_iteration,\n    \"solver\": s.setup.general.solver.get_state(),\n    \"compute_active\": reports.compute.is_active(),\n})\ns.file.write_case(\n    file_name=task_directory + r\"\\before_report_activation_repair.cas.h5\"\n)\n\nif not reports.compute.is_active():\n    if initial_iteration != 0:\n        raise RuntimeError(\"已有迭代但报告不可用，停止以保护结果。\")\n    s.solution.initialization.hybrid_initialize()\n    print(\"INITIALIZATION_PERFORMED\", True)\nelse:\n    print(\"EXISTING_INITIALIZED_STATE_PRESERVED\", True)\n\nif not reports.compute.is_active():\n    raise RuntimeError(\"初始化后报告计算仍不可用。\")\n\nsurface_reports = reports.surface\nprobe_names = []\nfor axis in [\"x\", \"y\", \"z\"]:\n    for suffix, kind in [\n        (\"min\", \"surface-vertexmin\"),\n        (\"max\", \"surface-vertexmax\"),\n    ]:\n        name = \"fw_bound_\" + axis + \"_\" + suffix\n        if name not in surface_reports.get_object_names():\n            surface_reports[name] = {}\n        report = surface_reports[name]\n        report.report_type = kind\n        field = axis + \"-coordinate\"\n        if field not in report.field.allowed_values():\n            raise RuntimeError(\"坐标字段不可用：\" + field)\n        report.field = field\n        probe_names.append(name)\n\nbounds = {}\nfor zone in wall_names:\n    for name in probe_names:\n        surface_reports[name].surface_names = [zone]\n    result = reports.compute(report_defs=probe_names)\n    bounds[zone] = [report_value(result, name) for name in probe_names]\n    print(\"WALL_BOUNDS\", zone, bounds[zone])\n\nwing, ground, farfield = [], [], []\nfor zone, bound in bounds.items():\n    xmin, xmax, ymin, ymax, zmin, zmax = bound\n    if max(abs(ymin), abs(ymax)) < 1e-5:\n        ground.append(zone)\n    elif (\n        xmin > -0.031 and xmax < 0.491\n        and ymin > 0.089 and ymax < 0.351\n        and zmin > -0.619 and zmax < 0.619\n    ):\n        wing.append(zone)\n    else:\n        farfield.append(zone)\n\nprint(\"CLASSIFICATION\", {\"wing\": wing, \"ground\": ground, \"farfield\": farfield})\nif not wing or len(ground) != 1 or len(farfield) != 3:\n    raise RuntimeError(\"边界分类与设计不符。\")\n\nfor zone in wing + ground:\n    momentum = bc.wall[zone].momentum\n    momentum.shear_condition = \"No Slip\"\n    momentum.wall_motion = \"Stationary Wall\"\n\nmomentum = bc.wall[ground[0]].momentum\nmomentum.wall_motion = \"Moving Wall\"\nfor name in [\"relative\", \"rotating\", \"components\"]:\n    child = getattr(momentum, name)\n    if child.is_active():\n        child.set_state(False)\nscalar(momentum.speed, 30.0)\nvector(momentum.direction, [1.0, 0.0, 0.0])\nprint(\"GROUND_READBACK\", momentum.get_state())\n\nfor zone in farfield:\n    momentum = bc.wall[zone].momentum\n    momentum.wall_motion = \"Stationary Wall\"\n    momentum.shear_condition = \"Specified Shear\"\n    print(\"OUTER_WALL_READBACK\", zone, momentum.get_state())\n\ninlet = bc.velocity_inlet[\"inlet\"]\noutlet = bc.pressure_outlet[\"outlet\"]\nscalar(inlet.momentum.velocity, 30.0)\nscalar(outlet.momentum.gauge_pressure, 0.0)\ninlet.turbulence.turbulence_specification = \"Intensity and Viscosity Ratio\"\nscalar(inlet.turbulence.turbulent_intensity, 0.01)\nscalar(inlet.turbulence.turbulent_viscosity_ratio, 10.0)\n\nforce_names = []\nfor name, direction in [\n    (\"front_wing_drag_interface\", [1.0, 0.0, 0.0]),\n    (\"front_wing_lift_interface\", [0.0, 1.0, 0.0]),\n]:\n    if name not in reports.force.get_object_names():\n        reports.force[name] = {}\n    report = reports.force[name]\n    report.force_vector = direction\n    report.zones = wing\n    force_names.append(name)\n    print(\"FORCE_SCOPE\", name, report.get_state())\n\nmass_names = []\nfor name, zone in [(\"fw_inlet_mass\", \"inlet\"), (\"fw_outlet_mass\", \"outlet\")]:\n    if name not in surface_reports.get_object_names():\n        surface_reports[name] = {}\n    surface_reports[name].report_type = \"surface-massflowrate\"\n    surface_reports[name].surface_names = [zone]\n    mass_names.append(name)\n\ns.file.write_case_data(\n    file_name=task_directory + r\"\\front_wing_boundary_repair_ready.cas.h5\"\n)\nif initial_iteration != 0:\n    raise RuntimeError(\"检测到已有求解结果，已保留；不重复本轮首次求解流程。\")\n\nprint(\"RESIDUAL_SETTINGS\", s.solution.monitor.residual.get_state())\ns.setup.general.solver.time = \"steady\"\ns.file.start_transcript(\n    file_name=task_directory + r\"\\front_wing_repaired_flow.trn\"\n)\ntry:\n    for block in range(6):\n        s.solution.run_calculation.iterate(iter_count=50)\n        result = reports.compute(report_defs=force_names)\n        drag = report_value(result, force_names[0])\n        lift = report_value(result, force_names[1])\n        denominator = 0.5 * 1.225 * 30.0**2 * 0.552\n        print(\"FORCE_HISTORY\", {\n            \"iteration\": s.solution.run_calculation.iter_count.get_state(),\n            \"drag\": drag,\n            \"lift\": lift,\n            \"downforce\": -lift,\n            \"CD\": drag / denominator,\n            \"CL\": lift / denominator,\n        })\n    s.file.write_case_data(\n        file_name=task_directory + r\"\\front_wing_repaired_steady.cas.h5\"\n    )\n    section = checked(\n        \"CENTRAL_SECTION\",\n        fluentagi.create_section(axis=\"z\", position=0.0),\n    )\n    s.setup.general.solver.time = \"unsteady-2nd-order\"\n    s.solution.run_calculation.transient_controls.time_step_size = 0.0005\n    checked(\n        \"VELOCITY_SECTION_ANIMATION\",\n        fluentagi.record_animation(\n            directory=task_directory,\n            field=\"velocity-magnitude\",\n            frames=41,\n            steps_per_frame=5,\n            max_iter_per_step=40,\n            surfaces=[section[\"surface\"]],\n        ),\n    )\n    print(\"FINAL_FORCES\", reports.compute(report_defs=force_names))\n    mass_result = reports.compute(report_defs=mass_names)\n    print(\"MASS_FLOW_READBACK\", mass_result)\n    mass_values = [report_value(mass_result, name) for name in mass_names]\n    scale = max(abs(value) for value in mass_values)\n    print(\"RELATIVE_MASS_IMBALANCE\", abs(sum(mass_values)) / max(scale, 1e-20))\n    checked(\n        \"FINAL_SECTION_EXPORT\",\n        fluentagi.export_results(\n            directory=task_directory,\n            fields=[\"pressure\", \"velocity-magnitude\"],\n            surfaces=[section[\"surface\"]],\n        ),\n    )\n    paths = s.results.graphics.pathline\n    if paths.is_active():\n        name = \"front_wing_streamlines\"\n        if name not in paths.get_object_names():\n            paths[name] = {}\n        print(\"STREAMLINE_STATE\", paths[name].get_state())\n        print(\"STREAMLINE_FIELDS\", getattr(paths[name], \"child_names\", []))\nfinally:\n    s.file.stop_transcript()\n    s.file.write_case_data(\n        file_name=task_directory + r\"\\front_wing_repaired_flow_checkpoint.cas.h5\"\n    )\n\nprint(\"REFERENCE_AREA\", 0.552)\nprint(\"VALIDATION_PENDING\", [\n    \"all_step_convergence\",\n    \"force_stability\",\n    \"mesh_independence\",\n    \"near_wall_resolution\",\n    \"streamline_export\",\n])"}}, "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_STATE {'walls': ['walls:011', 'walls:012', 'walls:013', 'walls:014', 'walls:015', 'walls:016', 'walls:017', 'walls:018', 'walls:019', 'walls:020', 'walls:021', 'walls:022', 'walls:023', 'walls:024', 'walls:025', 'walls:007:008', 'walls:007:009', 'walls:007:010', 'walls:007', 'walls'], 'iterations': 0, 'solver': {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'steady'}, 'compute_active': False}\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\before_report_activation_repair.cas.h5\\\"\n…中间日志已省略，完整日志保存在任务目录…\n'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}]}}\\nSTREAMLINE_FIELDS ['name', 'uid', 'options', 'range', 'style_attribute', 'accuracy_control', 'plot', 'step', 'skip', 'coarsen', 'onzone', 'onphysics', 'field', 'release_from_surfaces', 'velocity_domain', 'color_map', 'draw_mesh', 'mesh_object', 'display_state_name', 'physics', 'geometry', 'surfaces', 'axes', 'curves']\\n\\nTranscript closed.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_repaired_flow_checkpoint.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,    23 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_repaired_flow_checkpoint.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\nDone.\\nREFERENCE_AREA 0.552\\nVALIDATION_PENDING ['all_step_convergence', 'force_stability', 'mesh_independence', 'near_wall_resolution', 'streamline_export']\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"failed_action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\nimport math\n\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142547-90d0a4\"\ns = solver.settings\n\ndef checked(label, result):\n    print(label, result)\n    if isinstance(result, dict):\n        if result.get(\"status\") in (\"error\", \"failed\", \"needs_review\"):\n            raise RuntimeError(str(result))\n        if result.get(\"error\") or result.get(\"errors\"):\n            raise RuntimeError(str(result))\n    return result\n\ndef numbers(value):\n    if isinstance(value, bool):\n        return []\n    if isinstance(value, (int, float)):\n        return [float(value)]\n    if isinstance(value, dict):\n        return [number for child in value.values() for number in numbers(child)]\n    if isinstance(value, (list, tuple)):\n        return [number for child in value for number in numbers(child)]\n    return []\n\ndef value_of(result, name):\n    if isinstance(result, dict):\n        if name in result:\n            values = numbers(result[name])\n            if values and math.isfinite(values[0]):\n                return values[0]\n        children = result.values()\n    elif isinstance(result, (list, tuple)):\n        children = result\n    else:\n        children = []\n    for child in children:\n        try:\n            return value_of(child, name)\n        except ValueError:\n            pass\n    raise ValueError(\"无法提取报告：\" + name + \"；返回：\" + str(result))\n\nif not s.setup.models.is_active():\n    raise RuntimeError(\"当前网格未激活。\")\n\nreports = s.solution.report_definitions\nif not reports.compute.is_active():\n    raise RuntimeError(\"当前解的报告不可用；停止，不执行初始化。\")\n\nprint(\"CURRENT_SOLVER\", s.setup.general.solver.get_state())\nprint(\"CURRENT_ITERATION\", s.solution.run_calculation.iter_count.get_state())\nprint(\n    \"CURRENT_TRANSIENT_CONTROLS\",\n    s.solution.run_calculation.transient_controls.get_state(),\n)\n\nforce_names = [\"front_wing_drag_interface\", \"front_wing_lift_interface\"]\nfor name in force_names:\n    if name not in reports.force.get_object_names():\n        raise RuntimeError(\"缺少已配置的前翼受力报告：\" + name)\n\nwing_zones = reports.force[force_names[0]].zones.get_state()\nlift_zones = reports.force[force_names[1]].zones.get_state()\nif not wing_zones or set(wing_zones) != set(lift_zones):\n    raise RuntimeError(\"升阻力统计区域为空或不一致。\")\nprint(\"WING_FORCE_ZONES\", wing_zones)\n\nforce_result = reports.compute(report_defs=force_names)\ndrag, lift = [value_of(force_result, name) for name in force_names]\nreference_area = 0.552\ndenominator = 0.5 * 1.225 * 30.0**2 * reference_area\nprint(\"AERODYNAMIC_READBACK\", {\n    \"drag\": drag,\n    \"lift\": lift,\n    \"downforce\": -lift,\n    \"CD\": drag / denominator,\n    \"CL\": lift / denominator,\n    \"reference_area\": reference_area,\n})\n\nmass_names = [\"fw_inlet_mass\", \"fw_outlet_mass\"]\nif all(name in reports.surface.get_object_names() for name in mass_names):\n    mass_result = reports.compute(report_defs=mass_names)\n    mass_values = [value_of(mass_result, name) for name in mass_names]\n    imbalance = abs(sum(mass_values)) / max(\n        max(abs(value) for value in mass_values), 1e-20\n    )\n    print(\"MASS_BALANCE_READBACK\", {\n        \"inlet\": mass_values[0],\n        \"outlet\": mass_values[1],\n        \"relative_imbalance\": imbalance,\n    })\n\ntime_reports = reports.time\ntime_name = \"front_wing_actual_flow_time\"\nif name not in []:\n    if time_name not in time_reports.get_object_names():\n        time_reports[time_name] = {}\ntime_report = time_reports[time_name]\nif \"report_type\" in getattr(time_report, \"child_names\", []):\n    options = time_report.report_type.allowed_values()\n    selected = [\n        option for option in options\n        if option in [\"flow-time\", \"flow_time\", \"time-flow-time\"]\n    ]\n    if selected:\n        time_report.report_type = selected[0]\n        print(\n            \"ACTUAL_FLOW_TIME\",\n            reports.compute(report_defs=[time_name]),\n        )\n    else:\n        print(\"TIME_REPORT_OPTIONS\", options)\nelse:\n    print(\"TIME_REPORT_STATE\", time_report.get_state())\n\npaths = s.results.graphics.pathline\nif not paths.is_active():\n    raise RuntimeError(\"当前解的原生流线对象不可用。\")\n\npath_name = \"front_wing_streamlines\"\nif path_name not in paths.get_object_names():\n    paths[path_name] = {}\npath = paths[path_name]\nif \"velocity-magnitude\" not in path.field.allowed_values():\n    raise RuntimeError(\"流线着色字段不可用。\")\npath.field = \"velocity-magnitude\"\npath.release_from_surfaces = [\"inlet\"]\nprint(\"STREAMLINE_CONFIGURATION\", {\n    \"field\": path.field.get_state(),\n    \"release_from_surfaces\": path.release_from_surfaces.get_state(),\n    \"step\": path.step.get_state(),\n    \"skip\": path.skip.get_state(),\n})\nfor name in [\"options\", \"accuracy_control\"]:\n    child = getattr(path, name)\n    if child.is_active():\n        print(\"STREAMLINE_CONTROL\", name, child.get_state())\n\nviews = s.results.graphics.views\nviews.restore_view(view_name=\"isometric\")\nviews.auto_scale()\npaths.display(object_name=path_name)\nviews.auto_scale()\n\npicture = s.results.graphics.picture\ncommands = getattr(picture, \"command_names\", [])\nif \"save_picture\" not in commands:\n    raise RuntimeError(\"当前原生图片保存命令不可用。\")\ncommand = picture.save_picture\nif \"file_name\" not in getattr(command, \"argument_names\", []):\n    raise RuntimeError(\"图片保存命令参数不匹配。\")\nstreamline_file = task_directory + r\"\\front_wing_streamlines.png\"\nprint(\"STREAMLINE_PICTURE_RESULT\", command(file_name=streamline_file))\nprint(\"STREAMLINE_PICTURE_REQUESTED\", streamline_file)\n\nchecked(\n    \"WING_SURFACE_EXPORT\",\n    fluentagi.export_results(\n        directory=task_directory,\n        fields=[\"pressure\", \"velocity-magnitude\"],\n        surfaces=wing_zones,\n    ),\n)\n\ns.file.write_case_data(\n    file_name=task_directory + r\"\\front_wing_postprocessed_checkpoint.cas.h5\"\n)\nprint(\"POSTPROCESSING_SCOPE\", {\n    \"initialized\": False,\n    \"advanced_time_steps\": 0,\n    \"streamlines\": \"instantaneous_velocity_field\",\n    \"force_stability_verified\": False,\n    \"all_step_convergence_verified\": False,\n    \"mesh_independence_verified\": False,\n})"}}, "error": "{\"status\": \"error\", \"stdout\": \"CURRENT_SOLVER {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'unsteady-2nd-order'}\\n\\nError: api-get-var: the object is not active\\nError Object: \\\"solution/run-calculation/iter-count\\\"\\n\", \"stderr\": \"\\nTraceback (most recent call last):\\n  File \\\"ansys\\\\fluent\\\\mcp\\\\solve\\\\backends\\\\pyfluent.py\\\", line 2793, in _do\\n    exec(  # noqa: S102  # nosec B102\\n  File \\\"<mcp>\\\", line 53, in <module>\\n  File \\\"ansys\\\\fluent\\\\core\\\\solver\\\\flobject.py\\\", line 847, in get_state\\n    return self.to_python_keys(self.flproxy.get_var(self.path))\\n                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n  File \\\"ansys\\\\fluent\\\\core\\\\services\\\\settings.py\\\", line 146, in _fn\\n    return fn(self, *args, **kwds)\\n           ^^^^^^^^^^^^^^^^^^^^^^^\\n  File \\\"ansys\\\\fluent\\\\core\\\\services\\\\settings.py\\\", line 222, in get_var\\n    response = self._service_impl.get_var(request)\\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n  File \\\"ansys\\\\fluent\\\\core\\\\services\\\\settings.py\\\", line 65, in get_var\\n    return self.__stub.GetVar(request, metadata=self.__metadata)\\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n  File \\\"grpc\\\\_interceptor.py\\\", line 276, in __call__\\n  File \\\"grpc\\\\_interceptor.py\\\", line 328, in _with_call\\nRuntimeError: api-get-var: the object is not active\\nError Object: solution/run-calculation/iter-count\\n\", \"return_value\": null, \"message\": \"api-get-var: the object is not active\\nError Object: solution/run-calculation/iter-count\", \"error_code\": \"execution_error\", \"warnings\": []}", "note": "可能有部分操作已生效，请先检查实时状态，修复后继续。"}]
【ChatGPT 回复】
ChatGPT 说：

当前为瞬态模式，定常迭代计数字段已失活。本次修复活动状态检查，沿用当前解完成气动力读回、流线显示和图片导出，不推进计算。

<fluent_code>
```python
# Use the existing connected PyFluent variable solver.
import math

task_directory = r"C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261018-142547-90d0a4"
s = solver.settings

def checked(label, result):
    print(label, result)
    if isinstance(result, dict):
        if result.get("status") in ("error", "failed", "needs_review"):
            raise RuntimeError(str(result))
        if result.get("error") or result.get("errors"):
            raise RuntimeError(str(result))
    return result

def numbers(value):
    if isinstance(value, bool):
        return []
    if isinstance(value, (int, float)):
        return [float(value)]
    if isinstance(value, dict):
        return [number for child in value.values() for number in numbers(child)]
    if isinstance(value, (list, tuple)):
        return [number for child in value for number in numbers(child)]
    return []

def value_of(result, name):
    if isinstance(result, dict):
        if name in result:
            values = numbers(result[name])
            if values and math.isfinite(values[0]):
                return values[0]
        children = result.values()
    elif isinstance(result, (list, tuple)):
        children = result
    else:
        children = []
    for child in children:
        try:
            return value_of(child, name)
        except ValueError:
            pass
    raise ValueError("无法提取报告：" + name + "；返回：" + str(result))

if not s.setup.models.is_active():
    raise RuntimeError("当前网格未激活。")

reports = s.solution.report_definitions
if not reports.compute.is_active():
    raise RuntimeError("当前解报告不可用，停止并保留现有结果。")

print("CURRENT_SOLVER", s.setup.general.solver.get_state())
run = s.solution.run_calculation
if run.iter_count.is_active():
    print("CURRENT_ITERATION", run.iter_count.get_state())
if run.transient_controls.is_active():
    print("TRANSIENT_CONTROLS", run.transient_controls.get_state())

force_names = ["front_wing_drag_interface", "front_wing_lift_interface"]
for name in force_names:
    if name not in reports.force.get_object_names():
        raise RuntimeError("缺少受力报告：" + name)

wing_zones = reports.force[force_names[0]].zones.get_state()
lift_zones = reports.force[force_names[1]].zones.get_state()
if not wing_zones or set(wing_zones) != set(lift_zones):
    raise RuntimeError("升阻力统计区域为空或不一致。")
print("WING_FORCE_ZONES", wing_zones)

force_result = reports.compute(report_defs=force_names)
drag, lift = [value_of(force_result, name) for name in force_names]
reference_area = 0.552
denominator = 0.5 * 1.225 * 30.0**2 * reference_area
print("AERODYNAMIC_READBACK", {
    "drag": drag,
    "lift": lift,
    "downforce": -lift,
    "CD": drag / denominator,
    "CL": lift / denominator,
    "reference_area": reference_area,
})

mass_names = ["fw_inlet_mass", "fw_outlet_mass"]
if all(name in reports.surface.get_object_names() for name in mass_names):
    mass_result = reports.compute(report_defs=mass_names)
    mass_values = [value_of(mass_result, name) for name in mass_names]
    scale = max(max(abs(value) for value in mass_values), 1e-20)
    print("MASS_BALANCE_READBACK", {
        "inlet": mass_values[0],
        "outlet": mass_values[1],
        "relative_imbalance": abs(sum(mass_values)) / scale,
    })

time_reports = reports.time
time_name = "front_wing_actual_flow_time"
if time_name not in time_reports.get_object_names():
    time_reports[time_name] = {}
time_report = time_reports[time_name]
if "report_type" in getattr(time_report, "child_names", []):
    if time_report.report_type.is_active():
        options = time_report.report_type.allowed_values()
        candidates = [
            option for option in options
            if option in ["flow-time", "flow_time", "time-flow-time"]
        ]
        if candidates:
            time_report.report_type = candidates[0]
            print("ACTUAL_FLOW_TIME", reports.compute(report_defs=[time_name]))
        else:
            print("TIME_REPORT_OPTIONS", options)

paths = s.results.graphics.pathline
if not paths.is_active():
    raise RuntimeError("当前原生流线对象不可用。")

path_name = "front_wing_streamlines"
if path_name not in paths.get_object_names():
    paths[path_name] = {}
path = paths[path_name]
if not path.field.is_active():
    raise RuntimeError("流线着色字段未激活。")
if "velocity-magnitude" not in path.field.allowed_values():
    raise RuntimeError("流线速度着色字段不可用。")
path.field = "velocity-magnitude"
path.release_from_surfaces = ["inlet"]
print("STREAMLINE_CONFIGURATION", {
    "field": path.field.get_state(),
    "release_from_surfaces": path.release_from_surfaces.get_state(),
})
for name in ["step", "skip", "options", "accuracy_control"]:
    child = getattr(path, name)
    if child.is_active():
        print("STREAMLINE_CONTROL", name, child.get_state())

views = s.results.graphics.views
views.restore_view(view_name="isometric")
paths.display(object_name=path_name)
views.auto_scale()

picture = s.results.graphics.picture
if "save_picture" not in getattr(picture, "command_names", []):
    raise RuntimeError("原生图片保存命令不可用。")
command = picture.save_picture
if "file_name" not in getattr(command, "argument_names", []):
    raise RuntimeError("图片保存参数不匹配。")
streamline_file = task_directory + r"\front_wing_streamlines.png"
print("STREAMLINE_SAVE_RESULT", command(file_name=streamline_file))
print("STREAMLINE_SAVE_PATH", streamline_file)

checked(
    "WING_SURFACE_EXPORT",
    fluentagi.export_results(
        directory=task_directory,
        fields=["pressure", "velocity-magnitude"],
        surfaces=wing_zones,
    ),
)

s.file.write_case_data(
    file_name=task_directory + r"\front_wing_postprocessed_checkpoint.cas.h5"
)
print("POSTPROCESSING_SCOPE", {
    "initialized": False,
    "advanced_time_steps": 0,
    "streamlines": "instantaneous_velocity_field",
    "all_step_convergence_verified": False,
    "force_stability_verified": False,
    "mesh_independence_verified": False,
})
```
</fluent_code>

<final_answer>本脚本修复瞬态模式下读取失活迭代字段的问题，保留已有计算结果，补充流线出图及升阻力、质量平衡读回。是否成功保存图片、实际气动力数值及收敛情况，均以执行反馈为准。</final_answer>

round-10
【发送给 ChatGPT】
You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout:

<fluent_code>

```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.
```

</fluent_code>

Put a newline before and after each tag and each fence. Put no prose, headings, units, or explanations inside the fenced Python block. Do not place ```python and Python statements on the same line. Keep the script under 280 lines. Use loops instead of repeating similar statements. Never truncate a string, parenthesis, or code fence; always close </fluent_code>.
Use the existing solver session and compatible PyFluent APIs. A completed conversation turn does not close the session. For continuation requests reuse the loaded mesh and solution, inspect relevant current settings, and continue from actual flow time. Never launch, disconnect, remesh or initialize merely because a new desktop task directory was created. Do not launch or close Fluent. Do not use Abaqus APIs. Use solver.settings APIs and the provided fluentagi adapters. Direct solver.tui, execute_tui and Scheme remain rejected; the trusted v242 adapters may internally use fixed official TUI commands/journals. For mesh display use solver.settings.results.graphics.mesh and graphics.views APIs. Do not return JSON tool plans. Do not invent mesh files or API names. Only operate on the requested case and task directory. Preserve existing results. For a repair, inspect partially applied state and write a complete corrected script, not a patch or a repeated broken script.
The web AI cannot read or modify host application source. Do not claim to have searched the host disk or request uploading FluentAGI source to run simulations. Use the verified runtime adapters. Define task_directory as the absolute Task directory below before calling adapters. For VOF surface tension use fluentagi.configure_surface_tension(directory=task_directory,coefficient=0.072,phase_a="phase-1",phase_b="phase-2"); coefficient is N/m, replace the example with the requested value. This v242/v252 surface-tension adapter preserves other phase pairs, enables the surface-tension model and reads back every coefficient. inspect_surface_tension(directory=task_directory) returns actual state. Fluent 2025 R2 is accepted for this surface-tension adapter; do not ask to downgrade to 2024. Other Lee/DPM adapters retain their own version restrictions. Never claim v252 execution was validated before reading actual results. Do not ask the user to edit the plugin or click GUI dialogs for this supported operation.
Mixture and VOF both support Lee evaporation-condensation in official Fluent 2024 R2, but this runtime has NOT validated a Mixture configuration adapter. Do not silently substitute VOF for a Mixture tutorial or claim equivalent results. audit_multiphase_interfaces() is a read-only native settings probe, without TUI, Scheme or case writes. The VOF adapter uses narrowly scoped prompt profiles; unsupported dimension/phase combinations are rejected rather than guessed. For three-phase boiling setup in Fluent 2024 R2, use fluentagi.configure_three_phase_materials(directory=task_directory, materials=["air", "water-liquid", "water-vapor"]) to create actual phase-1/2/3 domains and verify material assignments. For an existing three-phase model, fluentagi.assign_multiphase_materials(materials=[...], directory=task_directory) assigns materials without changing the phase count. Then call fluentagi.configure_evaporation_condensation(directory=task_directory, saturation_temperature=T_sat_K, evaporation_frequency=from_frequency_per_second, condensation_frequency=to_frequency_per_second, from_phase="phase-2", to_phase="phase-3"). Pass the user's specified temperature/frequencies; preserve their geometry, heating and calculation parameters. This verified v242 VOF Lee adapter enables energy, uses a fixed official TUI journal and verifies the phase pair, constant saturation temperature, both frequencies and Lee model by an independent case snapshot. It does not initialize or advance the simulation. Do not say this feature is unavailable because direct TUI is forbidden; use the adapter. fluentagi.inspect_phase_change(directory=task_directory) returns actual phases and mass transfer settings, refreshing a unique case snapshot. Do not replace existing unrelated mechanisms. This adapter supports one Lee mass transfer pair, not Eulerian wall boiling, semi-mechanistic wall boiling, pressure-dependent saturation tables or UDFs. Do not claim a complete validated boiling simulation from successful setup alone. initialize_air is a TWO-PHASE adapter; do not use it for three-phase cases. Use verified settings initialization and phase-aware patching only for requested new calculations.
The runtime provides fluentagi.assign_phase_materials(primary="air", secondary="water-liquid", directory=task_directory), fluentagi.inspect_phases(), and fluentagi.export_results(directory=task_directory, fields=["pressure", "velocity-magnitude"]). For requested animation of an already initialized transient solution use fluentagi.record_animation(directory=task_directory, field="velocity-magnitude", frames=10, steps_per_frame=1, max_iter_per_step=20); it advances the solution and creates PNG frames and GIF. Never initialize or advance an existing solution without the user requesting calculation. These are executable verified adapters, not prose instructions. Use the phase adapter when asked to assign materials; do not ask the user to click the phase dialog. Print returned results. For postprocessing use export_results and assess its errors; never claim missing images were saved. Only import math/json/itertools/functools/collections/dataclasses/typing; datetime/os/pathlib imports are unavailable. Check is_active() before querying model-dependent settings on an empty mesh.
For NEW planar geometry and meshing use mesh = fluentagi.build_planar(directory=task_directory, points=[[x,y],...], inlet_edges=[0], outlet_edges=[2], size=0.001). Coordinates and size are in METERS; polygon vertices ordered around its boundary; edge i joins point i to point (i+1)%N. This creates real STEP CAD and converts first-order triangular Gmsh cells into a genuine Fluent mesh with inlet/outlet/walls. Then solver.settings.file.read_mesh(file_name=mesh["mesh_file"]), solver.settings.mesh.check(), configure physics, initialize, iterate, and export_results. Save current case/data before replacing loaded geometry. Do not reuse a model from previous successful construction during a repair; use its mesh_file from feedback. For curved planar CAD, use fluentagi.geometry_mesh(directory=task_directory,code=gmsh_script_string); the worker has gmsh,math,output_dir already, no imports; create OCC geometry and physical line groups named inlet,outlet,walls, export STEP, generate first-order triangular or quadrilateral mesh(2). Returned mesh_file is Fluent format; gmsh-native.msh is NOT Fluent format. 3D modeling and volume mesh conversion are now implemented. fluentagi.build_volume(directory=task_directory, shape="box",length=0.1,width=0.02,height=0.02,size=0.005,mesh_type="tet") creates tetrahedra; mesh_type="hex" creates a structured all-hexahedron box. shape="cylinder",radius=0.01 supports tetrahedra with axis along +X. Inlet is X=0 and outlet X=length. fluentagi.build_extruded(directory=task_directory,points=[[x,y],...],inlet_edges=[0],outlet_edges=[2],depth=0.01,size=0.002,mesh_type="tet") extrudes a planar profile, naming lateral inlet/outlet faces; front/back faces are walls. mesh_type="hex-dominant" uses recombined extruded mesh and MAY include prisms: assess returned cell_types, never call mixed cells pure hex. geometry_mesh supports arbitrary OCC volumes (boolean unions/cuts), physical SURFACE groups inlet/outlet/walls, and mesh.generate(3), first-order tet/hex/prism/pyramid. Imported STEP is not currently supported by the restricted worker. build_planar mesh_type="quad" produces mapped pure quadrilaterals for valid four-sided rectangles; complex polygons can be quad/tri mixed. 2D uses triangles/quads, 3D uses tet/hex. The runtime starts or safely backs up its owned solver before switching dimension according to explicit user words. Do not request user-supplied 3D mesh for supported geometry. Save backups before replacing any loaded mesh. For 3D postprocessing create useful cut planes/isosurfaces using verified settings APIs; boundary-only contours are not an interior volume visualization. For an entire new analysis, carry out all stages rather than only inspection; collect real residual/convergence evidence and exports.
For water-air transient filling, call fluentagi.configure_water_air(directory=task_directory,velocity=0.05,time_step=0.001,gravity_y=-9.81,inlet="inlet",outlet="outlet"). This backs up and sets laminar VOF, materials, phase-aware inlet/outlet, gravity and timestep; does NOT initialize or erase existing solution. For requested NEW filling use fluentagi.initialize_air(directory=task_directory), which saves a backup, hybrid initializes and patches phase-2 volume fraction to zero across all fluid cell zones. Never initialize_air on existing results without an explicit restart request. Fluent v242 contour fields are phase-2-vof (water, only after confirming phase-2=water-liquid) and phase-1-vof (air); do not confuse them. Query real contour field.allowed_values for VOF fields. For 3D interior contours/animation use section=fluentagi.create_section(axis="z",position=depth/2), then export_results(...,surfaces=[section["surface"]]) or record_animation(...,surfaces=[section["surface"]]). A plane section is not full volumetric rendering; report it accurately. Frames are 2..60. Each frame after the first advances steps_per_frame real time steps; final time is initial time+(frames-1)*steps_per_frame*time_step. Do not claim the pipe fills if the simulated duration is too short. Normalize typos like "二维四面体" by explaining 2D triangular equivalent; if depth/3D was explicitly requested, use volume tools.
For UNSTEADY dust motion use the separate transient DPM adapters, never track_particles (steady replay). build_dust_box(directory=task_directory) creates a 3D 40mm box with a top cylindrical nozzle (axis Y, inlet at top blowing DOWN with positive normal inlet speed) and an upper side pressure vent. Save existing case before reading its mesh_file. geometry parameters are SI and can be passed as named arguments. Choose suitable air physics; configure a real pressure outlet, do not create a sealed box with uncompensated inflow. configure_transient_dust(directory=task_directory,region_min=[.012,.003,.012],region_max=[.028,.004,.028],counts=[2,2,2],release_time=.02,release_duration=.0005,total_mass=1e-8,diameter=[1e-5,5e-5]*4,density=2500,initial_velocity=[0,0,0],gravity=[0,-9.81,0],time_step=.004,wall_behavior="trap") enables actual unsteady air and one-way unsteady DPM. It creates one short native injection pulse for each seed; total_mass kg is distributed across weighted parcels. It accepts explicit points instead of a region. The entire release pulse must fit inside one physical dt. Does NOT initialize. For requested NEW cases only, initialize_transient_dust(directory=task_directory) refuses any existing valid solution. Then advance_transient_dust(directory=task_directory,until_time=.2,max_iter_per_step=200,residual_tolerance=.001) advances at most 60 actual steps per call, preferring an ABSOLUTE end time; read returned final_time and call again until target. Already reached until_time does not advance again. The small demonstration explicitly uses normalized residual tolerance .001; honor stricter user requirements and never silently relax them. The default adapter tolerance is 1e-5, which the coarse benchmark did NOT meet on its initial step. Failed per-step convergence/air mass balance/particle accounting stops with needs_review and a checkpoint; never claim success. read_transient_dust(directory=task_directory) reads actual current native particle positions, fates, masses and physical time without advancement. resume_transient_dust(directory=task_directory,checkpoint="latest-checkpoint.json") backs up current case, validates hashes, restores native Case/Data including particles, and verifies actual state; never initializes. read_transient_dust_results(directory=task_directory) reads saved files offline. On continuation reuse the ORIGINAL batch directory from execution feedback for read/resume/advance; do not create another configuration merely because the desktop has a new task directory. Native output remains with the original case, while preview PNG/GIF/CSV are mirrored into the current desktop task for real-time display. Every frame is a snapshot of native transient particles, not a steady trajectory interpolation. Report deposited/trapped, escaped, in-domain, incomplete, aborted and not-yet-released parcels and actual mass budget. Caption all runs "预先释放悬浮颗粒，非积尘再悬浮". Particle seeds/markers represent weighted parcels, not physical particle counts or true point size. Laminar transport shows resolved advection/settling; do not claim stochastic turbulent diffusion is modeled. No verified deposited-dust detachment/adhesion/UDF resuspension adapter exists. Never add an upward initial velocity and call it resuspension. Preserve steady DPM as a distinct path.
For EXPLICITLY STEADY dilute solid dust ONLY use the verified v242 one-way STEADY DPM adapters, not VOF. First inspect_dpm(). On a single-phase carrier first create_dust_injection with the required density (default 2500 kg/m3) to activate actual inert materials, THEN configure_dpm(directory=task_directory,density=2500,material="agi-dust",max_steps=10000) verifies the inert material density and sets tracking limit; never use solid CAD material. The v242 inert material container has an unreliable active flag/get_state; adapters enumerate named material children and read those real states instead. Never query the entire inert material container. create_dust_injection(directory=task_directory,name="dust",start=[0.00001,0.003,0.01],end=[0.00001,0.017,0.01],streams=12,diameter=0.00005,mass_flow=0.0000001,velocity=[0.5,0,0],material="agi-dust") creates a real group injection. Replace positions with points just INSIDE the actual inlet; SI meters, diameter meters, mass_flow TOTAL kg/s (adapter divides over streams). streams=1 creates a single injection; group uses a release line between start/end. Do not use surface injection; its v242 settings readback failed validation. set_particle_boundaries(directory=task_directory,boundaries={"inlet":"escape","outlet":"escape","walls":"trap"}) also supports reflect with existing restitution settings; always inspect readback. Never silently change an existing multiphase or coupled DPM model. For a requested NEW analysis, configure and solve the AIR carrier first (laminar only for suitable low Reynolds), then track_particles(directory=task_directory,injections=["dust"],frames=30). This tracks native DPM trajectories, exports tracks.csv/json, native summary text, statistics and PNG/GIF. It does NOT initialize or advance the carrier. Animation is a residence-time replay of native STEADY particle tracks with simultaneous release, not a transient fluid/DPM calculation. Never use air pathlines or a continuous-phase contour as dust motion. Returned counts refer to particle streams, not physical dust counts; rates use reported mass flow. Report incomplete/aborted streams, mass/count balance and carrier convergence separately. A successful track/image is not validated collection efficiency; require mesh/physics validation for engineering conclusions. Preserve results; use a new injection name if its parameters change.
End with <final_answer>Chinese explanation of the intended changes, without claiming execution success</final_answer>.
If essential input or an incompatible session prevents a valid script, return only <question>the specific missing input in Chinese</question>.
After the desktop returns execution results, either provide a corrected script or return only <final_answer>a Chinese assessment supported by those results</final_answer>. Do not execute the same successful script again. Successful execution alone does not prove convergence.

Previous conversation and execution context (reference only; do not repeat successful scripts):
[{"user": "好的"}, {"assistant": "已确认采用30 m/s来流、1.2 m总宽、0.1 m离地高度和移动地面。但当前几何适配器仅声明支持 inlet、outlet、walls 三类边界，尚未确认能将前翼、地面和远场分别分组；这关系到移动地面设置及单独统计前翼升阻力。能否提供运行端支持独立壁面分组的能力反馈？否则无法可靠生成满足这些要求的完整脚本。", "run_directory": "C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142517-f253e1"}, {"user": "所有参数都是你来设计。"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_MODEL_ACTIVE False\\nREPAIRED_FRONT_WING_MESH {'files': ['C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\cad-d1bc89e9\\\\\\\\fluent.msh', 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\cad-d1bc89e9\\\\\\\\front-wing.step'], 'log': 'lane, Frontal-Delaunay)\\\\nInfo    : Done meshing 2D (Wall 0.31698s, CPU 0s)\\\\nInfo    : Meshing 3D...\\\\nInfo    : 3D Meshing 1 vol\n…中间日志已省略，完整日志保存在任务目录…\nS list_1 []\\nREPORT_drag_ARGUMENTS list_properties_1 ['object_name']\\nREPORT_drag_ARGUMENTS make_a_copy ['from_', 'to']\\nGRAPHICS_ACTIVE True\\nGRAPHICS_CHILDREN ['mesh', 'contour', 'vector', 'pathline', 'particle_track', 'lic', 'olic', 'volumes', 'contours', 'particle_tracks', 'colors', 'lighting', 'picture', 'views', 'windows', 'raytracing_options', 'pulse', 'periodic_instancing']\\nGRAPHICS_COMMANDS []\\nGRAPHICS_QUERIES []\\nGRAPHICS_pathline_ACTIVE False\\nGRAPHICS_pathline_CHILDREN []\\nGRAPHICS_pathline_COMMANDS ['delete', 'rename', 'list_1', 'list_properties_1', 'make_a_copy', 'display', 'copy', 'add_to_graphics', 'clear_history']\\nGRAPHICS_pathline_QUERIES []\\nGRAPHICS_pathline_ARGUMENTS delete ['name_list']\\nGRAPHICS_pathline_ARGUMENTS rename ['new', 'old']\\nGRAPHICS_pathline_ARGUMENTS list_1 []\\nGRAPHICS_pathline_ARGUMENTS list_properties_1 ['object_name']\\nGRAPHICS_pathline_ARGUMENTS make_a_copy ['from_', 'to']\\nGRAPHICS_pathline_ARGUMENTS display ['object_name']\\nGRAPHICS_pathline_ARGUMENTS copy ['from_name', 'new_name']\\nGRAPHICS_pathline_ARGUMENTS add_to_graphics ['object_name']\\nGRAPHICS_pathline_ARGUMENTS clear_history ['object_name']\\nDESIGN {'velocity': 30.0, 'span': 1.2, 'main_chord': 0.32, 'flap_chord': 0.14, 'main_angle': 8.0, 'flap_angle': 20.0, 'endplate_clearance': 0.1, 'maximum_volume_cells': 180000}\\nSTAGE mesh_repair_and_native_interface_readback\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"SOLVER_STATE {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'steady'}\\nWALL_ZONES ['walls']\\nINLET_ZONES ['inlet']\\nOUTLET_ZONES ['outlet']\\nMESH_CHILDREN ['adapt', 'anisotropic_adaption', 'check_before_solve', 'check_verbosity', 'enhanced_orthogonal_quality', 'matching_tolerance', 'modify_zones', 'show_periodic_shadow_zones', 'reorder', 'repair_improve', 'surface_mesh', 'polyhedra', 'wall_distance_method']\\nMESH_COMMANDS ['adjacency', 'c\n…中间日志已省略，完整日志保存在任务目录…\n-kl-w', 'transition-sst', 'reynolds-stress', 'scale-adaptive-simulation', 'detached-eddy-simulation', 'large-eddy-simulation']\\nVISCOUS_CHILDREN ['model', 'spalart_allmaras_production', 'k_epsilon_model', 'k_omega_model', 'k_omega_options', 'geko_options', 'rng_options', 'near_wall_treatment', 'reynolds_stress_model', 'subgrid_scale_model', 'les_model_options', 'reynolds_stress_options', 'rans_model', 'des_options', 'transition_module', 'hybrid_rans_les', 'sbes_options', 'user_defined_transition', 'options', 'multiphase_turbulence', 'turbulence_expert', 'transition_model_options', 'transition_sst_option', 'user_defined', 'sa_enhanced_wall_treatment', 'sa_damping']\\nRUN_CALCULATION_STATE {'pseudo_time_settings': {'verbosity': 0, 'time_step_method': {'time_step_method': 'automatic', 'length_scale_methods': 'conservative', 'time_step_size_scale_factor': 1.0}}, 'iter_count': 0, 'reporting_interval': 1, 'profile_update_interval': 1, 'data_sampling': {'enabled': False}}\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_boundary_force_interface.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,     4 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE boundary_separation_and_force_field_readback\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"WALL_ZONES ['walls']\\nITERATION_COUNT 0\\nMODIFY_ZONE_CHILDREN []\\nSEPARATION_COMMAND_NAMES ['sep_cell_zone_mark', 'sep_cell_zone_region', 'sep_face_zone_angle', 'sep_face_zone_face', 'sep_face_zone_mark', 'sep_face_zone_region']\\nSEPARATION_COMMAND sep_cell_zone_mark ['cell_zone_name', 'register', 'move_faces']\\nSEPARATION_ARGUMENT sep_cell_zone_mark cell_zone_name []\\nSEPARATION_ARGUMENT sep_cell_zone_mark register []\\nSEPARATION_ARGUMENT sep_cell_zone_mark mov\n…中间日志已省略，完整日志保存在任务目录…\nGUMENT sep_face_zone_mark face_zone_name []\\nSEPARATION_ARGUMENT sep_face_zone_mark register_name []\\nSEPARATION_ARGUMENT sep_face_zone_mark move_faces []\\nSEPARATION_COMMAND sep_face_zone_region ['face_zone_name', 'move_faces']\\nSEPARATION_ARGUMENT sep_face_zone_region face_zone_name []\\nSEPARATION_ARGUMENT sep_face_zone_region move_faces []\\nFORCE_DEFINITION front_wing_drag_interface {'name': 'front_wing_drag_interface', 'force_vector': [1, 0, 0], 'reference_frame': 'global', 'zones': None, 'per_zone': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nFORCE_DEFINITION front_wing_lift_interface {'name': 'front_wing_lift_interface', 'force_vector': [0.0, 1.0, 0.0], 'reference_frame': 'global', 'zones': None, 'per_zone': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nMOVING_WALL_FIELDS ['wall_motion', 'speed', 'rotation_speed', 'rotation_axis_direction', 'direction', 'velocity_components']\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_separation_arguments.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,     4 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE targeted_boundary_separation_arguments\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_WALL_ZONES ['walls']\\nCURRENT_ITERATIONS 0\\nCURRENT_MODELS {'model': 'k-omega', 'k_omega_model': 'sst', 'k_omega_options': {'kw_low_re_correction': False}, 'near_wall_treatment': {'wall_omega_treatment': 'correlation'}, 'transition_module': 'none', 'options': {'curvature_correction': False, 'corner_flow_correction': False, 'production_kato_launder_enabled': False, 'production_limiter': {'enabled': True, 'clip_factor': 10.0}}, 'turbulence_expert': {'turb_\n…中间日志已省略，完整日志保存在任务目录…\n-vertexavg', 'surface-vertexmax', 'surface-vertexmin', 'surface-volumeflowrate']\\nCOORDINATE_REPORT_OPTIONS surface_names ['walls:011', 'walls:012', 'walls:013', 'walls:014', 'walls:015', 'walls:016', 'walls:017', 'walls:018', 'walls:019', 'walls:020', 'walls:021', 'walls:022', 'walls:023', 'walls:024', 'walls:025', 'walls:007:008', 'walls:007:009', 'walls:007:010', 'walls:007', 'inlet', 'outlet', 'walls']\\nWALL_MOTION_OPTIONS ['Stationary Wall', 'Moving Wall']\\nWALL_MOMENTUM_FIELDS ['wall_motion', 'moving', 'relative', 'rotating', 'components', 'speed', 'rotation_speed', 'rotation_axis_origin', 'rotation_axis_direction', 'direction', 'velocity_components', 'shear_condition', 'fsi_interface', 'periodic_displacement', 'periodic_imaginary_displacement', 'frequency', 'amplitude', 'nodal_diam', 'passage_number', 'fwd', 'aero', 'cmplx', 'norm', 'method', 'shear_stress', 'fslip', 'eslip', 'surface_tension_gradient', 'specified_shear', 'specularity_coeff', 'mom_accommodation_coeff']\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_partitioned_air_setup.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,    23 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE native_wall_partition_and_air_setup\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_STATE {'walls': ['walls:011', 'walls:012', 'walls:013', 'walls:014', 'walls:015', 'walls:016', 'walls:017', 'walls:018', 'walls:019', 'walls:020', 'walls:021', 'walls:022', 'walls:023', 'walls:024', 'walls:025', 'walls:007:008', 'walls:007:009', 'walls:007:010', 'walls:007', 'walls'], 'iterations': 0, 'solver': {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'steady'}, 'compute_active': False}\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\1397\n…中间日志已省略，完整日志保存在任务目录…\nsymbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}]}}\\nSTREAMLINE_FIELDS ['name', 'uid', 'options', 'range', 'style_attribute', 'accuracy_control', 'plot', 'step', 'skip', 'coarsen', 'onzone', 'onphysics', 'field', 'release_from_surfaces', 'velocity_domain', 'color_map', 'draw_mesh', 'mesh_object', 'display_state_name', 'physics', 'geometry', 'surfaces', 'axes', 'curves']\\n\\nTranscript closed.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_repaired_flow_checkpoint.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,    23 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_repaired_flow_checkpoint.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\nDone.\\nREFERENCE_AREA 0.552\\nVALIDATION_PENDING ['all_step_convergence', 'force_stability', 'mesh_independence', 'near_wall_resolution', 'streamline_export']\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
Runtime capabilities:
{"protocol": "FluentAGI-capabilities-v1", "session": {"connected": true, "mode": "launch"}, "geometry": {"worker": "gmsh isolated process", "imports": [], "builtins": ["range", "len", "int", "float", "str", "list", "tuple", "enumerate", "zip", "min", "max", "abs", "round", "RuntimeError", "ValueError", "print", "set", "sum", "sorted", "bool", "all", "any"], "physical_groups": ["inlet", "outlet", "walls"], "cell_types": ["triangle", "quadrilateral", "tetrahedron", "hexahedron", "prism", "pyramid"]}, "script": {"imports": ["math", "json", "itertools", "functools", "collections", "dataclasses", "typing"], "adapters": ["build_dust_box", "configure_transient_dust", "initialize_transient_dust", "read_transient_dust", "advance_transient_dust", "resume_transient_dust", "read_transient_dust_results", "inspect_dpm", "configure_dpm", "create_dust_injection", "set_particle_boundaries", "track_particles", "build_planar", "build_volume", "build_extruded", "geometry_mesh", "configure_water_air", "initialize_air", "record_animation", "export_results", "assign_phase_materials", "assign_multiphase_materials", "configure_three_phase_materials", "audit_multiphase_interfaces", "configure_evaporation_condensation", "inspect_phase_change", "configure_surface_tension", "inspect_surface_tension"]}, "generated_at": 1792304747.7744308, "phase_change": {"version": "v242", "model": "Lee", "adapter_multiphase_models": ["vof"], "mixture_officially_available": true, "mixture_adapter_validated": false, "two_phase_2d_correction_runtime_validation": "pending", "automatic_model_switch": false, "phases": [2, 3], "saturation": "constant K", "frequencies": "positive finite 1/s", "mass_transfer_pairs": 1, "internal_official_tui": true, "generated_direct_tui": false, "readback": "unique case snapshot", "initializes": false}, "surface_tension": {"version": "v242/v252", "runtime_validation": {"v242": "previous native validation", "v252": "official command and generated SDK checked; customer runtime readback required"}, "model": "VOF", "coefficient": "nonnegative finite N/m", "preserves_other_pairs": true, "readback": "unique case snapshot", "initializes": false}, "transient_dpm": {"version": "v242", "model": "unsteady single-phase carrier + transient one-way inert DPM", "release": "one short native pulse per explicit point / region grid, max 64 weighted parcels", "chunk_steps": 60, "positions": "native current positions at actual physical time; never steady replay", "checkpoint": "unique Case/Data plus SHA256 and particle-state readback", "acceptance": "each-step residuals, native air mass flux, particle mass/count fate closure", "default_residual_tolerance": 1e-05, "benchmark_residual_tolerance": 0.001, "strict_1e_5_initial_step_validated": false, "resuspension_validated": false, "stochastic_turbulent_dispersion_validated": false}, "dpm": {"version": "v242", "carrier": "single phase, one-way, steady inert dust", "injection_types": ["single", "group"], "surface_injection_validated": false, "boundary_types": ["reflect", "trap", "escape"], "trajectory_source": "native GetParticleTracksField RPC", "animation": "steady DPM trajectory residence-time replay, no carrier advance", "transient_dpm_validated": false, "two_way_validated": false, "readback": true, "active": false}, "fluent_version": "Ansys Fluent 2024 R2", "model_active": false}
Current session:
{"connected": true, "dimension": 3, "mode": "solver", "owned": true, "continuation": true}
Task directory:
C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261018-142547-90d0a4
Current request:
所有参数都是你来设计。
Desktop execution feedback:
[{"failed_action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\nimport math\n\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142547-90d0a4\"\ns = solver.settings\n\ndef checked(label, result):\n    print(label, result)\n    if isinstance(result, dict):\n        if result.get(\"status\") in (\"error\", \"failed\", \"needs_review\"):\n            raise RuntimeError(str(result))\n        if result.get(\"error\") or result.get(\"errors\"):\n            raise RuntimeError(str(result))\n    return result\n\ndef numbers(value):\n    if isinstance(value, bool):\n        return []\n    if isinstance(value, (int, float)):\n        return [float(value)]\n    if isinstance(value, dict):\n        return [number for child in value.values() for number in numbers(child)]\n    if isinstance(value, (list, tuple)):\n        return [number for child in value for number in numbers(child)]\n    return []\n\ndef value_of(result, name):\n    if isinstance(result, dict):\n        if name in result:\n            values = numbers(result[name])\n            if values and math.isfinite(values[0]):\n                return values[0]\n        children = result.values()\n    elif isinstance(result, (list, tuple)):\n        children = result\n    else:\n        children = []\n    for child in children:\n        try:\n            return value_of(child, name)\n        except ValueError:\n            pass\n    raise ValueError(\"无法提取报告：\" + name + \"；返回：\" + str(result))\n\nif not s.setup.models.is_active():\n    raise RuntimeError(\"当前网格未激活。\")\n\nreports = s.solution.report_definitions\nif not reports.compute.is_active():\n    raise RuntimeError(\"当前解的报告不可用；停止，不执行初始化。\")\n\nprint(\"CURRENT_SOLVER\", s.setup.general.solver.get_state())\nprint(\"CURRENT_ITERATION\", s.solution.run_calculation.iter_count.get_state())\nprint(\n    \"CURRENT_TRANSIENT_CONTROLS\",\n    s.solution.run_calculation.transient_controls.get_state(),\n)\n\nforce_names = [\"front_wing_drag_interface\", \"front_wing_lift_interface\"]\nfor name in force_names:\n    if name not in reports.force.get_object_names():\n        raise RuntimeError(\"缺少已配置的前翼受力报告：\" + name)\n\nwing_zones = reports.force[force_names[0]].zones.get_state()\nlift_zones = reports.force[force_names[1]].zones.get_state()\nif not wing_zones or set(wing_zones) != set(lift_zones):\n    raise RuntimeError(\"升阻力统计区域为空或不一致。\")\nprint(\"WING_FORCE_ZONES\", wing_zones)\n\nforce_result = reports.compute(report_defs=force_names)\ndrag, lift = [value_of(force_result, name) for name in force_names]\nreference_area = 0.552\ndenominator = 0.5 * 1.225 * 30.0**2 * reference_area\nprint(\"AERODYNAMIC_READBACK\", {\n    \"drag\": drag,\n    \"lift\": lift,\n    \"downforce\": -lift,\n    \"CD\": drag / denominator,\n    \"CL\": lift / denominator,\n    \"reference_area\": reference_area,\n})\n\nmass_names = [\"fw_inlet_mass\", \"fw_outlet_mass\"]\nif all(name in reports.surface.get_object_names() for name in mass_names):\n    mass_result = reports.compute(report_defs=mass_names)\n    mass_values = [value_of(mass_result, name) for name in mass_names]\n    imbalance = abs(sum(mass_values)) / max(\n        max(abs(value) for value in mass_values), 1e-20\n    )\n    print(\"MASS_BALANCE_READBACK\", {\n        \"inlet\": mass_values[0],\n        \"outlet\": mass_values[1],\n        \"relative_imbalance\": imbalance,\n    })\n\ntime_reports = reports.time\ntime_name = \"front_wing_actual_flow_time\"\nif name not in []:\n    if time_name not in time_reports.get_object_names():\n        time_reports[time_name] = {}\ntime_report = time_reports[time_name]\nif \"report_type\" in getattr(time_report, \"child_names\", []):\n    options = time_report.report_type.allowed_values()\n    selected = [\n        option for option in options\n        if option in [\"flow-time\", \"flow_time\", \"time-flow-time\"]\n    ]\n    if selected:\n        time_report.report_type = selected[0]\n        print(\n            \"ACTUAL_FLOW_TIME\",\n            reports.compute(report_defs=[time_name]),\n        )\n    else:\n        print(\"TIME_REPORT_OPTIONS\", options)\nelse:\n    print(\"TIME_REPORT_STATE\", time_report.get_state())\n\npaths = s.results.graphics.pathline\nif not paths.is_active():\n    raise RuntimeError(\"当前解的原生流线对象不可用。\")\n\npath_name = \"front_wing_streamlines\"\nif path_name not in paths.get_object_names():\n    paths[path_name] = {}\npath = paths[path_name]\nif \"velocity-magnitude\" not in path.field.allowed_values():\n    raise RuntimeError(\"流线着色字段不可用。\")\npath.field = \"velocity-magnitude\"\npath.release_from_surfaces = [\"inlet\"]\nprint(\"STREAMLINE_CONFIGURATION\", {\n    \"field\": path.field.get_state(),\n    \"release_from_surfaces\": path.release_from_surfaces.get_state(),\n    \"step\": path.step.get_state(),\n    \"skip\": path.skip.get_state(),\n})\nfor name in [\"options\", \"accuracy_control\"]:\n    child = getattr(path, name)\n    if child.is_active():\n        print(\"STREAMLINE_CONTROL\", name, child.get_state())\n\nviews = s.results.graphics.views\nviews.restore_view(view_name=\"isometric\")\nviews.auto_scale()\npaths.display(object_name=path_name)\nviews.auto_scale()\n\npicture = s.results.graphics.picture\ncommands = getattr(picture, \"command_names\", [])\nif \"save_picture\" not in commands:\n    raise RuntimeError(\"当前原生图片保存命令不可用。\")\ncommand = picture.save_picture\nif \"file_name\" not in getattr(command, \"argument_names\", []):\n    raise RuntimeError(\"图片保存命令参数不匹配。\")\nstreamline_file = task_directory + r\"\\front_wing_streamlines.png\"\nprint(\"STREAMLINE_PICTURE_RESULT\", command(file_name=streamline_file))\nprint(\"STREAMLINE_PICTURE_REQUESTED\", streamline_file)\n\nchecked(\n    \"WING_SURFACE_EXPORT\",\n    fluentagi.export_results(\n        directory=task_directory,\n        fields=[\"pressure\", \"velocity-magnitude\"],\n        surfaces=wing_zones,\n    ),\n)\n\ns.file.write_case_data(\n    file_name=task_directory + r\"\\front_wing_postprocessed_checkpoint.cas.h5\"\n)\nprint(\"POSTPROCESSING_SCOPE\", {\n    \"initialized\": False,\n    \"advanced_time_steps\": 0,\n    \"streamlines\": \"instantaneous_velocity_field\",\n    \"force_stability_verified\": False,\n    \"all_step_convergence_verified\": False,\n    \"mesh_independence_verified\": False,\n})"}}, "error": "{\"status\": \"error\", \"stdout\": \"CURRENT_SOLVER {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'unsteady-2nd-order'}\\n\\nError: api-get-var: the object is not active\\nError Object: \\\"solution/run-calculation/iter-count\\\"\\n\", \"stderr\": \"\\nTraceback (most recent call last):\\n  File \\\"ansys\\\\fluent\\\\mcp\\\\solve\\\\backends\\\\pyfluent.py\\\", line 2793, in _do\\n    exec(  # noqa: S102  # nosec B102\\n  File \\\"<mcp>\\\", line 53, in <module>\\n  File \\\"ansys\\\\fluent\\\\core\\\\solver\\\\flobject.py\\\", line 847, in get_state\\n    return self.to_python_keys(self.flproxy.get_var(self.path))\\n                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n  File \\\"ansys\\\\fluent\\\\core\\\\services\\\\settings.py\\\", line 146, in _fn\\n    return fn(self, *args, **kwds)\\n           ^^^^^^^^^^^^^^^^^^^^^^^\\n  File \\\"ansys\\\\fluent\\\\core\\\\services\\\\settings.py\\\", line 222, in get_var\\n    response = self._service_impl.get_var(request)\\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n  File \\\"ansys\\\\fluent\\\\core\\\\services\\\\settings.py\\\", line 65, in get_var\\n    return self.__stub.GetVar(request, metadata=self.__metadata)\\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n  File \\\"grpc\\\\_interceptor.py\\\", line 276, in __call__\\n  File \\\"grpc\\\\_interceptor.py\\\", line 328, in _with_call\\nRuntimeError: api-get-var: the object is not active\\nError Object: solution/run-calculation/iter-count\\n\", \"return_value\": null, \"message\": \"api-get-var: the object is not active\\nError Object: solution/run-calculation/iter-count\", \"error_code\": \"execution_error\", \"warnings\": []}", "note": "可能有部分操作已生效，请先检查实时状态，修复后继续。"}, {"failed_action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\nimport math\n\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142547-90d0a4\"\ns = solver.settings\n\ndef checked(label, result):\n    print(label, result)\n    if isinstance(result, dict):\n        if result.get(\"status\") in (\"error\", \"failed\", \"needs_review\"):\n            raise RuntimeError(str(result))\n        if result.get(\"error\") or result.get(\"errors\"):\n            raise RuntimeError(str(result))\n    return result\n\ndef numbers(value):\n    if isinstance(value, bool):\n        return []\n    if isinstance(value, (int, float)):\n        return [float(value)]\n    if isinstance(value, dict):\n        return [number for child in value.values() for number in numbers(child)]\n    if isinstance(value, (list, tuple)):\n        return [number for child in value for number in numbers(child)]\n    return []\n\ndef value_of(result, name):\n    if isinstance(result, dict):\n        if name in result:\n            values = numbers(result[name])\n            if values and math.isfinite(values[0]):\n                return values[0]\n        children = result.values()\n    elif isinstance(result, (list, tuple)):\n        children = result\n    else:\n        children = []\n    for child in children:\n        try:\n            return value_of(child, name)\n        except ValueError:\n            pass\n    raise ValueError(\"无法提取报告：\" + name + \"；返回：\" + str(result))\n\nif not s.setup.models.is_active():\n    raise RuntimeError(\"当前网格未激活。\")\n\nreports = s.solution.report_definitions\nif not reports.compute.is_active():\n    raise RuntimeError(\"当前解报告不可用，停止并保留现有结果。\")\n\nprint(\"CURRENT_SOLVER\", s.setup.general.solver.get_state())\nrun = s.solution.run_calculation\nif run.iter_count.is_active():\n    print(\"CURRENT_ITERATION\", run.iter_count.get_state())\nif run.transient_controls.is_active():\n    print(\"TRANSIENT_CONTROLS\", run.transient_controls.get_state())\n\nforce_names = [\"front_wing_drag_interface\", \"front_wing_lift_interface\"]\nfor name in force_names:\n    if name not in reports.force.get_object_names():\n        raise RuntimeError(\"缺少受力报告：\" + name)\n\nwing_zones = reports.force[force_names[0]].zones.get_state()\nlift_zones = reports.force[force_names[1]].zones.get_state()\nif not wing_zones or set(wing_zones) != set(lift_zones):\n    raise RuntimeError(\"升阻力统计区域为空或不一致。\")\nprint(\"WING_FORCE_ZONES\", wing_zones)\n\nforce_result = reports.compute(report_defs=force_names)\ndrag, lift = [value_of(force_result, name) for name in force_names]\nreference_area = 0.552\ndenominator = 0.5 * 1.225 * 30.0**2 * reference_area\nprint(\"AERODYNAMIC_READBACK\", {\n    \"drag\": drag,\n    \"lift\": lift,\n    \"downforce\": -lift,\n    \"CD\": drag / denominator,\n    \"CL\": lift / denominator,\n    \"reference_area\": reference_area,\n})\n\nmass_names = [\"fw_inlet_mass\", \"fw_outlet_mass\"]\nif all(name in reports.surface.get_object_names() for name in mass_names):\n    mass_result = reports.compute(report_defs=mass_names)\n    mass_values = [value_of(mass_result, name) for name in mass_names]\n    scale = max(max(abs(value) for value in mass_values), 1e-20)\n    print(\"MASS_BALANCE_READBACK\", {\n        \"inlet\": mass_values[0],\n        \"outlet\": mass_values[1],\n        \"relative_imbalance\": abs(sum(mass_values)) / scale,\n    })\n\ntime_reports = reports.time\ntime_name = \"front_wing_actual_flow_time\"\nif time_name not in time_reports.get_object_names():\n    time_reports[time_name] = {}\ntime_report = time_reports[time_name]\nif \"report_type\" in getattr(time_report, \"child_names\", []):\n    if time_report.report_type.is_active():\n        options = time_report.report_type.allowed_values()\n        candidates = [\n            option for option in options\n            if option in [\"flow-time\", \"flow_time\", \"time-flow-time\"]\n        ]\n        if candidates:\n            time_report.report_type = candidates[0]\n            print(\"ACTUAL_FLOW_TIME\", reports.compute(report_defs=[time_name]))\n        else:\n            print(\"TIME_REPORT_OPTIONS\", options)\n\npaths = s.results.graphics.pathline\nif not paths.is_active():\n    raise RuntimeError(\"当前原生流线对象不可用。\")\n\npath_name = \"front_wing_streamlines\"\nif path_name not in paths.get_object_names():\n    paths[path_name] = {}\npath = paths[path_name]\nif not path.field.is_active():\n    raise RuntimeError(\"流线着色字段未激活。\")\nif \"velocity-magnitude\" not in path.field.allowed_values():\n    raise RuntimeError(\"流线速度着色字段不可用。\")\npath.field = \"velocity-magnitude\"\npath.release_from_surfaces = [\"inlet\"]\nprint(\"STREAMLINE_CONFIGURATION\", {\n    \"field\": path.field.get_state(),\n    \"release_from_surfaces\": path.release_from_surfaces.get_state(),\n})\nfor name in [\"step\", \"skip\", \"options\", \"accuracy_control\"]:\n    child = getattr(path, name)\n    if child.is_active():\n        print(\"STREAMLINE_CONTROL\", name, child.get_state())\n\nviews = s.results.graphics.views\nviews.restore_view(view_name=\"isometric\")\npaths.display(object_name=path_name)\nviews.auto_scale()\n\npicture = s.results.graphics.picture\nif \"save_picture\" not in getattr(picture, \"command_names\", []):\n    raise RuntimeError(\"原生图片保存命令不可用。\")\ncommand = picture.save_picture\nif \"file_name\" not in getattr(command, \"argument_names\", []):\n    raise RuntimeError(\"图片保存参数不匹配。\")\nstreamline_file = task_directory + r\"\\front_wing_streamlines.png\"\nprint(\"STREAMLINE_SAVE_RESULT\", command(file_name=streamline_file))\nprint(\"STREAMLINE_SAVE_PATH\", streamline_file)\n\nchecked(\n    \"WING_SURFACE_EXPORT\",\n    fluentagi.export_results(\n        directory=task_directory,\n        fields=[\"pressure\", \"velocity-magnitude\"],\n        surfaces=wing_zones,\n    ),\n)\n\ns.file.write_case_data(\n    file_name=task_directory + r\"\\front_wing_postprocessed_checkpoint.cas.h5\"\n)\nprint(\"POSTPROCESSING_SCOPE\", {\n    \"initialized\": False,\n    \"advanced_time_steps\": 0,\n    \"streamlines\": \"instantaneous_velocity_field\",\n    \"all_step_convergence_verified\": False,\n    \"force_stability_verified\": False,\n    \"mesh_independence_verified\": False,\n})"}}, "error": "{\"status\": \"error\", \"stdout\": \"CURRENT_SOLVER {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'unsteady-2nd-order'}\\nTRANSIENT_CONTROLS {'type': 'Fixed', 'method': 'User-Specified', 'time_step_count': 5, 'time_step_size': 0.0005, 'max_iter_per_time_step': 40, 'solution_status': False, 'extrapolate_variables': False, 'predict_next': False, 'fixed_periodic': {'enabled': False}, 'multiphase_specific_time_constraints': {'physics_based_constraint': False}, 'solid_time_step_size': {'enable_solid_time_step': False}}\\nWING_FORCE_ZONES ['walls:011', 'walls:012', 'walls:013', 'walls:014', 'walls:015', 'walls:016', 'walls:017', 'walls:018', 'walls:019', 'walls:020', 'walls:021', 'walls:022', 'walls:023', 'walls:024', 'walls:025', 'walls']\\n\\nfront_wing_drag_interface\\n -------------------\\n                           Force                 [N]\\n-------------------------------- -------------------\\n       front_wing_drag_interface           62.393976\\n\\nfront_wing_lift_interface\\n -------------------\\nAERODYNAMIC_READBACK {'drag': 62.3939761120949, 'lift': -392.0581030224447, 'downforce': 392.0581030224447, 'CD': 0.20504773772419368, 'CL': -1.2884357127163057, 'reference_area': 0.552}\\n                           Force                 [N]\\n-------------------------------- -------------------\\n       front_wing_lift_interface           -392.0581\\n\\n       fw_inlet_mass\\n -------------------\\n                  Mass Flow Rate              [kg/s]\\n-------------------------------- -------------------\\n                           inlet              105.84\\n\\n      fw_outlet_mass\\nMASS_BALANCE_READBACK {'inlet': 105.84, 'outlet': -105.8400043669596, 'relative_imbalance': 4.126000964533605e-08}\\n -------------------\\n                  Mass Flow Rate              [kg/s]\\n-------------------------------- -------------------\\n                          outlet             -105.84\\n\\nError: api-create-obj: new objects of this type cannot be created\\nError Object: \\\"solution/report-definitions/time\\\"\\n\", \"stderr\": \"\\nTraceback (most recent call last):\\n  File \\\"ansys\\\\fluent\\\\mcp\\\\solve\\\\backends\\\\pyfluent.py\\\", line 2793, in _do\\n    exec(  # noqa: S102  # nosec B102\\n  File \\\"<mcp>\\\", line 97, in <module>\\n  File \\\"ansys\\\\fluent\\\\core\\\\solver\\\\flobject.py\\\", line 2053, in __setitem__\\n    self.flproxy.create(self.path, name)\\n  File \\\"ansys\\\\fluent\\\\core\\\\services\\\\settings.py\\\", line 146, in _fn\\n    return fn(self, *args, **kwds)\\n           ^^^^^^^^^^^^^^^^^^^^^^^\\n  File \\\"ansys\\\\fluent\\\\core\\\\services\\\\settings.py\\\", line 240, in create\\n    self._service_impl.create(request)\\n  File \\\"ansys\\\\fluent\\\\core\\\\services\\\\settings.py\\\", line 77, in create\\n    return self.__stub.Create(request, metadata=self.__metadata)\\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n  File \\\"grpc\\\\_interceptor.py\\\", line 276, in __call__\\n  File \\\"grpc\\\\_interceptor.py\\\", line 328, in _with_call\\nRuntimeError: api-create-obj: new objects of this type cannot be created\\nError Object: solution/report-definitions/time\\n\", \"return_value\": null, \"message\": \"api-create-obj: new objects of this type cannot be created\\nError Object: solution/report-definitions/time\", \"error_code\": \"execution_error\", \"warnings\": []}", "note": "可能有部分操作已生效，请先检查实时状态，修复后继续。"}]
【ChatGPT 回复】
ChatGPT 说：

已读回阻力约62.39 N、下压力约392.06 N，进出口相对质量不平衡约4.13×10⁻⁸。本次移除不支持的新建时间报告操作，继续完成流线出图，全程不推进求解。

<fluent_code>
```python
# Use the existing connected PyFluent variable solver.
import math

task_directory = r"C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261018-142547-90d0a4"
s = solver.settings

def checked(label, result):
    print(label, result)
    if isinstance(result, dict):
        if result.get("status") in ("error", "failed", "needs_review"):
            raise RuntimeError(str(result))
        if result.get("error") or result.get("errors"):
            raise RuntimeError(str(result))
    return result

def numbers(value):
    if isinstance(value, bool):
        return []
    if isinstance(value, (int, float)):
        return [float(value)]
    if isinstance(value, dict):
        return [number for child in value.values() for number in numbers(child)]
    if isinstance(value, (list, tuple)):
        return [number for child in value for number in numbers(child)]
    return []

def value_of(result, name):
    if isinstance(result, dict):
        if name in result:
            values = numbers(result[name])
            if values and math.isfinite(values[0]):
                return values[0]
        children = result.values()
    elif isinstance(result, (list, tuple)):
        children = result
    else:
        children = []
    for child in children:
        try:
            return value_of(child, name)
        except ValueError:
            pass
    raise ValueError("无法提取报告：" + name + "；返回：" + str(result))

if not s.setup.models.is_active():
    raise RuntimeError("当前网格未激活。")

reports = s.solution.report_definitions
if not reports.compute.is_active():
    raise RuntimeError("当前解报告不可用，停止并保留结果。")

print("CURRENT_SOLVER", s.setup.general.solver.get_state())
run = s.solution.run_calculation
if run.transient_controls.is_active():
    print("TRANSIENT_CONTROLS", run.transient_controls.get_state())

force_names = ["front_wing_drag_interface", "front_wing_lift_interface"]
for name in force_names:
    if name not in reports.force.get_object_names():
        raise RuntimeError("缺少已配置受力报告：" + name)

wing_zones = reports.force[force_names[0]].zones.get_state()
lift_zones = reports.force[force_names[1]].zones.get_state()
if not wing_zones or set(wing_zones) != set(lift_zones):
    raise RuntimeError("升阻力统计区域为空或不一致。")

force_result = reports.compute(report_defs=force_names)
drag, lift = [value_of(force_result, name) for name in force_names]
denominator = 0.5 * 1.225 * 30.0**2 * 0.552
print("AERODYNAMIC_READBACK", {
    "drag": drag,
    "lift": lift,
    "downforce": -lift,
    "CD": drag / denominator,
    "CL": lift / denominator,
    "reference_area": 0.552,
})

mass_names = ["fw_inlet_mass", "fw_outlet_mass"]
if all(name in reports.surface.get_object_names() for name in mass_names):
    result = reports.compute(report_defs=mass_names)
    mass_values = [value_of(result, name) for name in mass_names]
    scale = max(max(abs(value) for value in mass_values), 1e-20)
    print("MASS_BALANCE_READBACK", {
        "inlet": mass_values[0],
        "outlet": mass_values[1],
        "relative_imbalance": abs(sum(mass_values)) / scale,
    })

paths = s.results.graphics.pathline
if not paths.is_active():
    raise RuntimeError("当前原生流线对象不可用。")
path_name = "front_wing_streamlines"
if path_name not in paths.get_object_names():
    paths[path_name] = {}
path = paths[path_name]

try:
    if not path.field.is_active():
        raise RuntimeError("流线着色字段未激活。")
    if "velocity-magnitude" not in path.field.allowed_values():
        raise RuntimeError("流线速度着色字段不可用。")
    path.field = "velocity-magnitude"
    path.release_from_surfaces = ["inlet"]
    print("STREAMLINE_READBACK", {
        "field": path.field.get_state(),
        "release_from_surfaces": path.release_from_surfaces.get_state(),
    })
    for name in ["step", "skip", "options", "accuracy_control"]:
        child = getattr(path, name)
        if child.is_active():
            print("STREAMLINE_CONTROL", name, child.get_state())

    views = s.results.graphics.views
    views.restore_view(view_name="isometric")
    paths.display(object_name=path_name)
    views.auto_scale()

    picture = s.results.graphics.picture
    if "save_picture" not in getattr(picture, "command_names", []):
        raise RuntimeError("原生图片保存命令不可用。")
    command = picture.save_picture
    if "file_name" not in getattr(command, "argument_names", []):
        raise RuntimeError("图片保存命令参数不匹配。")
    file_name = task_directory + r"\front_wing_streamlines.png"
    print("STREAMLINE_SAVE_RESULT", command(file_name=file_name))
    print("STREAMLINE_SAVE_PATH", file_name)

    checked(
        "WING_SURFACE_EXPORT",
        fluentagi.export_results(
            directory=task_directory,
            fields=["pressure", "velocity-magnitude"],
            surfaces=wing_zones,
        ),
    )
finally:
    s.file.write_case_data(
        file_name=task_directory + r"\front_wing_postprocessing_repair.cas.h5"
    )

print("POSTPROCESSING_SCOPE", {
    "initialized": False,
    "advanced_time_steps": 0,
    "streamlines": "instantaneous_velocity_field",
    "all_step_convergence_verified": False,
    "force_stability_verified": False,
    "mesh_independence_verified": False,
})
```
</fluent_code>

<final_answer>本脚本修复时间报告创建失败，保留当前解并继续导出流线及前翼表面图。已读回的气动力仅代表当前时刻；质量平衡良好仍不能证明受力稳定、全部时间步收敛或网格无关。</final_answer>

round-11
【发送给 ChatGPT】
You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout:

<fluent_code>

```python
# Use the existing connected PyFluent variable solver.
# Continue with the complete executable script here.
```

</fluent_code>

Put a newline before and after each tag and each fence. Put no prose, headings, units, or explanations inside the fenced Python block. Do not place ```python and Python statements on the same line. Keep the script under 280 lines. Use loops instead of repeating similar statements. Never truncate a string, parenthesis, or code fence; always close </fluent_code>.
Use the existing solver session and compatible PyFluent APIs. A completed conversation turn does not close the session. For continuation requests reuse the loaded mesh and solution, inspect relevant current settings, and continue from actual flow time. Never launch, disconnect, remesh or initialize merely because a new desktop task directory was created. Do not launch or close Fluent. Do not use Abaqus APIs. Use solver.settings APIs and the provided fluentagi adapters. Direct solver.tui, execute_tui and Scheme remain rejected; the trusted v242 adapters may internally use fixed official TUI commands/journals. For mesh display use solver.settings.results.graphics.mesh and graphics.views APIs. Do not return JSON tool plans. Do not invent mesh files or API names. Only operate on the requested case and task directory. Preserve existing results. For a repair, inspect partially applied state and write a complete corrected script, not a patch or a repeated broken script.
The web AI cannot read or modify host application source. Do not claim to have searched the host disk or request uploading FluentAGI source to run simulations. Use the verified runtime adapters. Define task_directory as the absolute Task directory below before calling adapters. For VOF surface tension use fluentagi.configure_surface_tension(directory=task_directory,coefficient=0.072,phase_a="phase-1",phase_b="phase-2"); coefficient is N/m, replace the example with the requested value. This v242/v252 surface-tension adapter preserves other phase pairs, enables the surface-tension model and reads back every coefficient. inspect_surface_tension(directory=task_directory) returns actual state. Fluent 2025 R2 is accepted for this surface-tension adapter; do not ask to downgrade to 2024. Other Lee/DPM adapters retain their own version restrictions. Never claim v252 execution was validated before reading actual results. Do not ask the user to edit the plugin or click GUI dialogs for this supported operation.
Mixture and VOF both support Lee evaporation-condensation in official Fluent 2024 R2, but this runtime has NOT validated a Mixture configuration adapter. Do not silently substitute VOF for a Mixture tutorial or claim equivalent results. audit_multiphase_interfaces() is a read-only native settings probe, without TUI, Scheme or case writes. The VOF adapter uses narrowly scoped prompt profiles; unsupported dimension/phase combinations are rejected rather than guessed. For three-phase boiling setup in Fluent 2024 R2, use fluentagi.configure_three_phase_materials(directory=task_directory, materials=["air", "water-liquid", "water-vapor"]) to create actual phase-1/2/3 domains and verify material assignments. For an existing three-phase model, fluentagi.assign_multiphase_materials(materials=[...], directory=task_directory) assigns materials without changing the phase count. Then call fluentagi.configure_evaporation_condensation(directory=task_directory, saturation_temperature=T_sat_K, evaporation_frequency=from_frequency_per_second, condensation_frequency=to_frequency_per_second, from_phase="phase-2", to_phase="phase-3"). Pass the user's specified temperature/frequencies; preserve their geometry, heating and calculation parameters. This verified v242 VOF Lee adapter enables energy, uses a fixed official TUI journal and verifies the phase pair, constant saturation temperature, both frequencies and Lee model by an independent case snapshot. It does not initialize or advance the simulation. Do not say this feature is unavailable because direct TUI is forbidden; use the adapter. fluentagi.inspect_phase_change(directory=task_directory) returns actual phases and mass transfer settings, refreshing a unique case snapshot. Do not replace existing unrelated mechanisms. This adapter supports one Lee mass transfer pair, not Eulerian wall boiling, semi-mechanistic wall boiling, pressure-dependent saturation tables or UDFs. Do not claim a complete validated boiling simulation from successful setup alone. initialize_air is a TWO-PHASE adapter; do not use it for three-phase cases. Use verified settings initialization and phase-aware patching only for requested new calculations.
The runtime provides fluentagi.assign_phase_materials(primary="air", secondary="water-liquid", directory=task_directory), fluentagi.inspect_phases(), and fluentagi.export_results(directory=task_directory, fields=["pressure", "velocity-magnitude"]). For requested animation of an already initialized transient solution use fluentagi.record_animation(directory=task_directory, field="velocity-magnitude", frames=10, steps_per_frame=1, max_iter_per_step=20); it advances the solution and creates PNG frames and GIF. Never initialize or advance an existing solution without the user requesting calculation. These are executable verified adapters, not prose instructions. Use the phase adapter when asked to assign materials; do not ask the user to click the phase dialog. Print returned results. For postprocessing use export_results and assess its errors; never claim missing images were saved. Only import math/json/itertools/functools/collections/dataclasses/typing; datetime/os/pathlib imports are unavailable. Check is_active() before querying model-dependent settings on an empty mesh.
For NEW planar geometry and meshing use mesh = fluentagi.build_planar(directory=task_directory, points=[[x,y],...], inlet_edges=[0], outlet_edges=[2], size=0.001). Coordinates and size are in METERS; polygon vertices ordered around its boundary; edge i joins point i to point (i+1)%N. This creates real STEP CAD and converts first-order triangular Gmsh cells into a genuine Fluent mesh with inlet/outlet/walls. Then solver.settings.file.read_mesh(file_name=mesh["mesh_file"]), solver.settings.mesh.check(), configure physics, initialize, iterate, and export_results. Save current case/data before replacing loaded geometry. Do not reuse a model from previous successful construction during a repair; use its mesh_file from feedback. For curved planar CAD, use fluentagi.geometry_mesh(directory=task_directory,code=gmsh_script_string); the worker has gmsh,math,output_dir already, no imports; create OCC geometry and physical line groups named inlet,outlet,walls, export STEP, generate first-order triangular or quadrilateral mesh(2). Returned mesh_file is Fluent format; gmsh-native.msh is NOT Fluent format. 3D modeling and volume mesh conversion are now implemented. fluentagi.build_volume(directory=task_directory, shape="box",length=0.1,width=0.02,height=0.02,size=0.005,mesh_type="tet") creates tetrahedra; mesh_type="hex" creates a structured all-hexahedron box. shape="cylinder",radius=0.01 supports tetrahedra with axis along +X. Inlet is X=0 and outlet X=length. fluentagi.build_extruded(directory=task_directory,points=[[x,y],...],inlet_edges=[0],outlet_edges=[2],depth=0.01,size=0.002,mesh_type="tet") extrudes a planar profile, naming lateral inlet/outlet faces; front/back faces are walls. mesh_type="hex-dominant" uses recombined extruded mesh and MAY include prisms: assess returned cell_types, never call mixed cells pure hex. geometry_mesh supports arbitrary OCC volumes (boolean unions/cuts), physical SURFACE groups inlet/outlet/walls, and mesh.generate(3), first-order tet/hex/prism/pyramid. Imported STEP is not currently supported by the restricted worker. build_planar mesh_type="quad" produces mapped pure quadrilaterals for valid four-sided rectangles; complex polygons can be quad/tri mixed. 2D uses triangles/quads, 3D uses tet/hex. The runtime starts or safely backs up its owned solver before switching dimension according to explicit user words. Do not request user-supplied 3D mesh for supported geometry. Save backups before replacing any loaded mesh. For 3D postprocessing create useful cut planes/isosurfaces using verified settings APIs; boundary-only contours are not an interior volume visualization. For an entire new analysis, carry out all stages rather than only inspection; collect real residual/convergence evidence and exports.
For water-air transient filling, call fluentagi.configure_water_air(directory=task_directory,velocity=0.05,time_step=0.001,gravity_y=-9.81,inlet="inlet",outlet="outlet"). This backs up and sets laminar VOF, materials, phase-aware inlet/outlet, gravity and timestep; does NOT initialize or erase existing solution. For requested NEW filling use fluentagi.initialize_air(directory=task_directory), which saves a backup, hybrid initializes and patches phase-2 volume fraction to zero across all fluid cell zones. Never initialize_air on existing results without an explicit restart request. Fluent v242 contour fields are phase-2-vof (water, only after confirming phase-2=water-liquid) and phase-1-vof (air); do not confuse them. Query real contour field.allowed_values for VOF fields. For 3D interior contours/animation use section=fluentagi.create_section(axis="z",position=depth/2), then export_results(...,surfaces=[section["surface"]]) or record_animation(...,surfaces=[section["surface"]]). A plane section is not full volumetric rendering; report it accurately. Frames are 2..60. Each frame after the first advances steps_per_frame real time steps; final time is initial time+(frames-1)*steps_per_frame*time_step. Do not claim the pipe fills if the simulated duration is too short. Normalize typos like "二维四面体" by explaining 2D triangular equivalent; if depth/3D was explicitly requested, use volume tools.
For UNSTEADY dust motion use the separate transient DPM adapters, never track_particles (steady replay). build_dust_box(directory=task_directory) creates a 3D 40mm box with a top cylindrical nozzle (axis Y, inlet at top blowing DOWN with positive normal inlet speed) and an upper side pressure vent. Save existing case before reading its mesh_file. geometry parameters are SI and can be passed as named arguments. Choose suitable air physics; configure a real pressure outlet, do not create a sealed box with uncompensated inflow. configure_transient_dust(directory=task_directory,region_min=[.012,.003,.012],region_max=[.028,.004,.028],counts=[2,2,2],release_time=.02,release_duration=.0005,total_mass=1e-8,diameter=[1e-5,5e-5]*4,density=2500,initial_velocity=[0,0,0],gravity=[0,-9.81,0],time_step=.004,wall_behavior="trap") enables actual unsteady air and one-way unsteady DPM. It creates one short native injection pulse for each seed; total_mass kg is distributed across weighted parcels. It accepts explicit points instead of a region. The entire release pulse must fit inside one physical dt. Does NOT initialize. For requested NEW cases only, initialize_transient_dust(directory=task_directory) refuses any existing valid solution. Then advance_transient_dust(directory=task_directory,until_time=.2,max_iter_per_step=200,residual_tolerance=.001) advances at most 60 actual steps per call, preferring an ABSOLUTE end time; read returned final_time and call again until target. Already reached until_time does not advance again. The small demonstration explicitly uses normalized residual tolerance .001; honor stricter user requirements and never silently relax them. The default adapter tolerance is 1e-5, which the coarse benchmark did NOT meet on its initial step. Failed per-step convergence/air mass balance/particle accounting stops with needs_review and a checkpoint; never claim success. read_transient_dust(directory=task_directory) reads actual current native particle positions, fates, masses and physical time without advancement. resume_transient_dust(directory=task_directory,checkpoint="latest-checkpoint.json") backs up current case, validates hashes, restores native Case/Data including particles, and verifies actual state; never initializes. read_transient_dust_results(directory=task_directory) reads saved files offline. On continuation reuse the ORIGINAL batch directory from execution feedback for read/resume/advance; do not create another configuration merely because the desktop has a new task directory. Native output remains with the original case, while preview PNG/GIF/CSV are mirrored into the current desktop task for real-time display. Every frame is a snapshot of native transient particles, not a steady trajectory interpolation. Report deposited/trapped, escaped, in-domain, incomplete, aborted and not-yet-released parcels and actual mass budget. Caption all runs "预先释放悬浮颗粒，非积尘再悬浮". Particle seeds/markers represent weighted parcels, not physical particle counts or true point size. Laminar transport shows resolved advection/settling; do not claim stochastic turbulent diffusion is modeled. No verified deposited-dust detachment/adhesion/UDF resuspension adapter exists. Never add an upward initial velocity and call it resuspension. Preserve steady DPM as a distinct path.
For EXPLICITLY STEADY dilute solid dust ONLY use the verified v242 one-way STEADY DPM adapters, not VOF. First inspect_dpm(). On a single-phase carrier first create_dust_injection with the required density (default 2500 kg/m3) to activate actual inert materials, THEN configure_dpm(directory=task_directory,density=2500,material="agi-dust",max_steps=10000) verifies the inert material density and sets tracking limit; never use solid CAD material. The v242 inert material container has an unreliable active flag/get_state; adapters enumerate named material children and read those real states instead. Never query the entire inert material container. create_dust_injection(directory=task_directory,name="dust",start=[0.00001,0.003,0.01],end=[0.00001,0.017,0.01],streams=12,diameter=0.00005,mass_flow=0.0000001,velocity=[0.5,0,0],material="agi-dust") creates a real group injection. Replace positions with points just INSIDE the actual inlet; SI meters, diameter meters, mass_flow TOTAL kg/s (adapter divides over streams). streams=1 creates a single injection; group uses a release line between start/end. Do not use surface injection; its v242 settings readback failed validation. set_particle_boundaries(directory=task_directory,boundaries={"inlet":"escape","outlet":"escape","walls":"trap"}) also supports reflect with existing restitution settings; always inspect readback. Never silently change an existing multiphase or coupled DPM model. For a requested NEW analysis, configure and solve the AIR carrier first (laminar only for suitable low Reynolds), then track_particles(directory=task_directory,injections=["dust"],frames=30). This tracks native DPM trajectories, exports tracks.csv/json, native summary text, statistics and PNG/GIF. It does NOT initialize or advance the carrier. Animation is a residence-time replay of native STEADY particle tracks with simultaneous release, not a transient fluid/DPM calculation. Never use air pathlines or a continuous-phase contour as dust motion. Returned counts refer to particle streams, not physical dust counts; rates use reported mass flow. Report incomplete/aborted streams, mass/count balance and carrier convergence separately. A successful track/image is not validated collection efficiency; require mesh/physics validation for engineering conclusions. Preserve results; use a new injection name if its parameters change.
End with <final_answer>Chinese explanation of the intended changes, without claiming execution success</final_answer>.
If essential input or an incompatible session prevents a valid script, return only <question>the specific missing input in Chinese</question>.
After the desktop returns execution results, either provide a corrected script or return only <final_answer>a Chinese assessment supported by those results</final_answer>. Do not execute the same successful script again. Successful execution alone does not prove convergence.

Previous conversation and execution context (reference only; do not repeat successful scripts):
[{"assistant": "已确认采用30 m/s来流、1.2 m总宽、0.1 m离地高度和移动地面。但当前几何适配器仅声明支持 inlet、outlet、walls 三类边界，尚未确认能将前翼、地面和远场分别分组；这关系到移动地面设置及单独统计前翼升阻力。能否提供运行端支持独立壁面分组的能力反馈？否则无法可靠生成满足这些要求的完整脚本。", "run_directory": "C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142517-f253e1"}, {"user": "所有参数都是你来设计。"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_MODEL_ACTIVE False\\nREPAIRED_FRONT_WING_MESH {'files': ['C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\cad-d1bc89e9\\\\\\\\fluent.msh', 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\cad-d1bc89e9\\\\\\\\front-wing.step'], 'log': 'lane, Frontal-Delaunay)\\\\nInfo    : Done meshing 2D (Wall 0.31698s, CPU 0s)\\\\nInfo    : Meshing 3D...\\\\nInfo    : 3D Meshing 1 vol\n…中间日志已省略，完整日志保存在任务目录…\nS list_1 []\\nREPORT_drag_ARGUMENTS list_properties_1 ['object_name']\\nREPORT_drag_ARGUMENTS make_a_copy ['from_', 'to']\\nGRAPHICS_ACTIVE True\\nGRAPHICS_CHILDREN ['mesh', 'contour', 'vector', 'pathline', 'particle_track', 'lic', 'olic', 'volumes', 'contours', 'particle_tracks', 'colors', 'lighting', 'picture', 'views', 'windows', 'raytracing_options', 'pulse', 'periodic_instancing']\\nGRAPHICS_COMMANDS []\\nGRAPHICS_QUERIES []\\nGRAPHICS_pathline_ACTIVE False\\nGRAPHICS_pathline_CHILDREN []\\nGRAPHICS_pathline_COMMANDS ['delete', 'rename', 'list_1', 'list_properties_1', 'make_a_copy', 'display', 'copy', 'add_to_graphics', 'clear_history']\\nGRAPHICS_pathline_QUERIES []\\nGRAPHICS_pathline_ARGUMENTS delete ['name_list']\\nGRAPHICS_pathline_ARGUMENTS rename ['new', 'old']\\nGRAPHICS_pathline_ARGUMENTS list_1 []\\nGRAPHICS_pathline_ARGUMENTS list_properties_1 ['object_name']\\nGRAPHICS_pathline_ARGUMENTS make_a_copy ['from_', 'to']\\nGRAPHICS_pathline_ARGUMENTS display ['object_name']\\nGRAPHICS_pathline_ARGUMENTS copy ['from_name', 'new_name']\\nGRAPHICS_pathline_ARGUMENTS add_to_graphics ['object_name']\\nGRAPHICS_pathline_ARGUMENTS clear_history ['object_name']\\nDESIGN {'velocity': 30.0, 'span': 1.2, 'main_chord': 0.32, 'flap_chord': 0.14, 'main_angle': 8.0, 'flap_angle': 20.0, 'endplate_clearance': 0.1, 'maximum_volume_cells': 180000}\\nSTAGE mesh_repair_and_native_interface_readback\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"SOLVER_STATE {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'steady'}\\nWALL_ZONES ['walls']\\nINLET_ZONES ['inlet']\\nOUTLET_ZONES ['outlet']\\nMESH_CHILDREN ['adapt', 'anisotropic_adaption', 'check_before_solve', 'check_verbosity', 'enhanced_orthogonal_quality', 'matching_tolerance', 'modify_zones', 'show_periodic_shadow_zones', 'reorder', 'repair_improve', 'surface_mesh', 'polyhedra', 'wall_distance_method']\\nMESH_COMMANDS ['adjacency', 'c\n…中间日志已省略，完整日志保存在任务目录…\n-kl-w', 'transition-sst', 'reynolds-stress', 'scale-adaptive-simulation', 'detached-eddy-simulation', 'large-eddy-simulation']\\nVISCOUS_CHILDREN ['model', 'spalart_allmaras_production', 'k_epsilon_model', 'k_omega_model', 'k_omega_options', 'geko_options', 'rng_options', 'near_wall_treatment', 'reynolds_stress_model', 'subgrid_scale_model', 'les_model_options', 'reynolds_stress_options', 'rans_model', 'des_options', 'transition_module', 'hybrid_rans_les', 'sbes_options', 'user_defined_transition', 'options', 'multiphase_turbulence', 'turbulence_expert', 'transition_model_options', 'transition_sst_option', 'user_defined', 'sa_enhanced_wall_treatment', 'sa_damping']\\nRUN_CALCULATION_STATE {'pseudo_time_settings': {'verbosity': 0, 'time_step_method': {'time_step_method': 'automatic', 'length_scale_methods': 'conservative', 'time_step_size_scale_factor': 1.0}}, 'iter_count': 0, 'reporting_interval': 1, 'profile_update_interval': 1, 'data_sampling': {'enabled': False}}\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_boundary_force_interface.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,     4 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE boundary_separation_and_force_field_readback\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"WALL_ZONES ['walls']\\nITERATION_COUNT 0\\nMODIFY_ZONE_CHILDREN []\\nSEPARATION_COMMAND_NAMES ['sep_cell_zone_mark', 'sep_cell_zone_region', 'sep_face_zone_angle', 'sep_face_zone_face', 'sep_face_zone_mark', 'sep_face_zone_region']\\nSEPARATION_COMMAND sep_cell_zone_mark ['cell_zone_name', 'register', 'move_faces']\\nSEPARATION_ARGUMENT sep_cell_zone_mark cell_zone_name []\\nSEPARATION_ARGUMENT sep_cell_zone_mark register []\\nSEPARATION_ARGUMENT sep_cell_zone_mark mov\n…中间日志已省略，完整日志保存在任务目录…\nGUMENT sep_face_zone_mark face_zone_name []\\nSEPARATION_ARGUMENT sep_face_zone_mark register_name []\\nSEPARATION_ARGUMENT sep_face_zone_mark move_faces []\\nSEPARATION_COMMAND sep_face_zone_region ['face_zone_name', 'move_faces']\\nSEPARATION_ARGUMENT sep_face_zone_region face_zone_name []\\nSEPARATION_ARGUMENT sep_face_zone_region move_faces []\\nFORCE_DEFINITION front_wing_drag_interface {'name': 'front_wing_drag_interface', 'force_vector': [1, 0, 0], 'reference_frame': 'global', 'zones': None, 'per_zone': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nFORCE_DEFINITION front_wing_lift_interface {'name': 'front_wing_lift_interface', 'force_vector': [0.0, 1.0, 0.0], 'reference_frame': 'global', 'zones': None, 'per_zone': False, 'average_over': 1, 'retain_instantaneous_values': False, 'output_parameter': False}\\nMOVING_WALL_FIELDS ['wall_motion', 'speed', 'rotation_speed', 'rotation_axis_direction', 'direction', 'velocity_components']\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_separation_arguments.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,     4 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE targeted_boundary_separation_arguments\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_WALL_ZONES ['walls']\\nCURRENT_ITERATIONS 0\\nCURRENT_MODELS {'model': 'k-omega', 'k_omega_model': 'sst', 'k_omega_options': {'kw_low_re_correction': False}, 'near_wall_treatment': {'wall_omega_treatment': 'correlation'}, 'transition_module': 'none', 'options': {'curvature_correction': False, 'corner_flow_correction': False, 'production_kato_launder_enabled': False, 'production_limiter': {'enabled': True, 'clip_factor': 10.0}}, 'turbulence_expert': {'turb_\n…中间日志已省略，完整日志保存在任务目录…\n-vertexavg', 'surface-vertexmax', 'surface-vertexmin', 'surface-volumeflowrate']\\nCOORDINATE_REPORT_OPTIONS surface_names ['walls:011', 'walls:012', 'walls:013', 'walls:014', 'walls:015', 'walls:016', 'walls:017', 'walls:018', 'walls:019', 'walls:020', 'walls:021', 'walls:022', 'walls:023', 'walls:024', 'walls:025', 'walls:007:008', 'walls:007:009', 'walls:007:010', 'walls:007', 'inlet', 'outlet', 'walls']\\nWALL_MOTION_OPTIONS ['Stationary Wall', 'Moving Wall']\\nWALL_MOMENTUM_FIELDS ['wall_motion', 'moving', 'relative', 'rotating', 'components', 'speed', 'rotation_speed', 'rotation_axis_origin', 'rotation_axis_direction', 'direction', 'velocity_components', 'shear_condition', 'fsi_interface', 'periodic_displacement', 'periodic_imaginary_displacement', 'frequency', 'amplitude', 'nodal_diam', 'passage_number', 'fwd', 'aero', 'cmplx', 'norm', 'method', 'shear_stress', 'fslip', 'eslip', 'surface_tension_gradient', 'specified_shear', 'specularity_coeff', 'mom_accommodation_coeff']\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_partitioned_air_setup.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,    23 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\nSTAGE native_wall_partition_and_air_setup\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_STATE {'walls': ['walls:011', 'walls:012', 'walls:013', 'walls:014', 'walls:015', 'walls:016', 'walls:017', 'walls:018', 'walls:019', 'walls:020', 'walls:021', 'walls:022', 'walls:023', 'walls:024', 'walls:025', 'walls:007:008', 'walls:007:009', 'walls:007:010', 'walls:007', 'walls'], 'iterations': 0, 'solver': {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'steady'}, 'compute_active': False}\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\1397\n…中间日志已省略，完整日志保存在任务目录…\nsymbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}, {'symbol': '+', 'size': 0.3, 'color': 'foreground'}]}}\\nSTREAMLINE_FIELDS ['name', 'uid', 'options', 'range', 'style_attribute', 'accuracy_control', 'plot', 'step', 'skip', 'coarsen', 'onzone', 'onphysics', 'field', 'release_from_surfaces', 'velocity_domain', 'color_map', 'draw_mesh', 'mesh_object', 'display_state_name', 'physics', 'geometry', 'surfaces', 'axes', 'curves']\\n\\nTranscript closed.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_repaired_flow_checkpoint.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,    23 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_repaired_flow_checkpoint.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\nDone.\\nREFERENCE_AREA 0.552\\nVALIDATION_PENDING ['all_step_convergence', 'force_stability', 'mesh_independence', 'near_wall_resolution', 'streamline_export']\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_SOLVER {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'unsteady-1st-order'}\\nTRANSIENT_CONTROLS {'type': 'Fixed', 'method': 'User-Specified', 'time_step_count': 5, 'time_step_size': 0.0005, 'max_iter_per_time_step': 40, 'solution_status': False, 'extrapolate_variables': False, 'predict_next': False, 'fixed_periodic': {'enabled': False}, 'multiphase_specific_time_constraints': {'physics_based_constraint': False}, 'solid_time_step_s\n…中间日志已省略，完整日志保存在任务目录…\nne.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\post-144003-c6a1\\\\result.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\nDone.\\nWING_SURFACE_EXPORT {'status': 'ok', 'directory': 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\post-144003-c6a1', 'created': '2026-10-18T14:40:03.363196', 'files': ['mesh.png', 'pressure.png', 'residual.csv', 'result.cas.h5', 'result.dat.h5', 'velocity-magnitude.png'], 'errors': [], 'convergence_verified': False}\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_postprocessing_repair.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,    23 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_postprocessing_repair.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\nDone.\\nPOSTPROCESSING_SCOPE {'initialized': False, 'advanced_time_steps': 0, 'streamlines': 'instantaneous_velocity_field', 'all_step_convergence_verified': False, 'force_stability_verified': False, 'mesh_independence_verified': False}\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
Runtime capabilities:
{"protocol": "FluentAGI-capabilities-v1", "session": {"connected": true, "mode": "launch"}, "geometry": {"worker": "gmsh isolated process", "imports": [], "builtins": ["range", "len", "int", "float", "str", "list", "tuple", "enumerate", "zip", "min", "max", "abs", "round", "RuntimeError", "ValueError", "print", "set", "sum", "sorted", "bool", "all", "any"], "physical_groups": ["inlet", "outlet", "walls"], "cell_types": ["triangle", "quadrilateral", "tetrahedron", "hexahedron", "prism", "pyramid"]}, "script": {"imports": ["math", "json", "itertools", "functools", "collections", "dataclasses", "typing"], "adapters": ["build_dust_box", "configure_transient_dust", "initialize_transient_dust", "read_transient_dust", "advance_transient_dust", "resume_transient_dust", "read_transient_dust_results", "inspect_dpm", "configure_dpm", "create_dust_injection", "set_particle_boundaries", "track_particles", "build_planar", "build_volume", "build_extruded", "geometry_mesh", "configure_water_air", "initialize_air", "record_animation", "export_results", "assign_phase_materials", "assign_multiphase_materials", "configure_three_phase_materials", "audit_multiphase_interfaces", "configure_evaporation_condensation", "inspect_phase_change", "configure_surface_tension", "inspect_surface_tension"]}, "generated_at": 1792304747.7744308, "phase_change": {"version": "v242", "model": "Lee", "adapter_multiphase_models": ["vof"], "mixture_officially_available": true, "mixture_adapter_validated": false, "two_phase_2d_correction_runtime_validation": "pending", "automatic_model_switch": false, "phases": [2, 3], "saturation": "constant K", "frequencies": "positive finite 1/s", "mass_transfer_pairs": 1, "internal_official_tui": true, "generated_direct_tui": false, "readback": "unique case snapshot", "initializes": false}, "surface_tension": {"version": "v242/v252", "runtime_validation": {"v242": "previous native validation", "v252": "official command and generated SDK checked; customer runtime readback required"}, "model": "VOF", "coefficient": "nonnegative finite N/m", "preserves_other_pairs": true, "readback": "unique case snapshot", "initializes": false}, "transient_dpm": {"version": "v242", "model": "unsteady single-phase carrier + transient one-way inert DPM", "release": "one short native pulse per explicit point / region grid, max 64 weighted parcels", "chunk_steps": 60, "positions": "native current positions at actual physical time; never steady replay", "checkpoint": "unique Case/Data plus SHA256 and particle-state readback", "acceptance": "each-step residuals, native air mass flux, particle mass/count fate closure", "default_residual_tolerance": 1e-05, "benchmark_residual_tolerance": 0.001, "strict_1e_5_initial_step_validated": false, "resuspension_validated": false, "stochastic_turbulent_dispersion_validated": false}, "dpm": {"version": "v242", "carrier": "single phase, one-way, steady inert dust", "injection_types": ["single", "group"], "surface_injection_validated": false, "boundary_types": ["reflect", "trap", "escape"], "trajectory_source": "native GetParticleTracksField RPC", "animation": "steady DPM trajectory residence-time replay, no carrier advance", "transient_dpm_validated": false, "two_way_validated": false, "readback": true, "active": false}, "fluent_version": "Ansys Fluent 2024 R2", "model_active": false}
Current session:
{"connected": true, "dimension": 3, "mode": "solver", "owned": true, "continuation": true}
Task directory:
C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261018-142547-90d0a4
Current request:
所有参数都是你来设计。
Desktop execution feedback:
[{"failed_action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\nimport math\n\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142547-90d0a4\"\ns = solver.settings\n\ndef checked(label, result):\n    print(label, result)\n    if isinstance(result, dict):\n        if result.get(\"status\") in (\"error\", \"failed\", \"needs_review\"):\n            raise RuntimeError(str(result))\n        if result.get(\"error\") or result.get(\"errors\"):\n            raise RuntimeError(str(result))\n    return result\n\ndef numbers(value):\n    if isinstance(value, bool):\n        return []\n    if isinstance(value, (int, float)):\n        return [float(value)]\n    if isinstance(value, dict):\n        return [number for child in value.values() for number in numbers(child)]\n    if isinstance(value, (list, tuple)):\n        return [number for child in value for number in numbers(child)]\n    return []\n\ndef value_of(result, name):\n    if isinstance(result, dict):\n        if name in result:\n            values = numbers(result[name])\n            if values and math.isfinite(values[0]):\n                return values[0]\n        children = result.values()\n    elif isinstance(result, (list, tuple)):\n        children = result\n    else:\n        children = []\n    for child in children:\n        try:\n            return value_of(child, name)\n        except ValueError:\n            pass\n    raise ValueError(\"无法提取报告：\" + name + \"；返回：\" + str(result))\n\nif not s.setup.models.is_active():\n    raise RuntimeError(\"当前网格未激活。\")\n\nreports = s.solution.report_definitions\nif not reports.compute.is_active():\n    raise RuntimeError(\"当前解报告不可用，停止并保留现有结果。\")\n\nprint(\"CURRENT_SOLVER\", s.setup.general.solver.get_state())\nrun = s.solution.run_calculation\nif run.iter_count.is_active():\n    print(\"CURRENT_ITERATION\", run.iter_count.get_state())\nif run.transient_controls.is_active():\n    print(\"TRANSIENT_CONTROLS\", run.transient_controls.get_state())\n\nforce_names = [\"front_wing_drag_interface\", \"front_wing_lift_interface\"]\nfor name in force_names:\n    if name not in reports.force.get_object_names():\n        raise RuntimeError(\"缺少受力报告：\" + name)\n\nwing_zones = reports.force[force_names[0]].zones.get_state()\nlift_zones = reports.force[force_names[1]].zones.get_state()\nif not wing_zones or set(wing_zones) != set(lift_zones):\n    raise RuntimeError(\"升阻力统计区域为空或不一致。\")\nprint(\"WING_FORCE_ZONES\", wing_zones)\n\nforce_result = reports.compute(report_defs=force_names)\ndrag, lift = [value_of(force_result, name) for name in force_names]\nreference_area = 0.552\ndenominator = 0.5 * 1.225 * 30.0**2 * reference_area\nprint(\"AERODYNAMIC_READBACK\", {\n    \"drag\": drag,\n    \"lift\": lift,\n    \"downforce\": -lift,\n    \"CD\": drag / denominator,\n    \"CL\": lift / denominator,\n    \"reference_area\": reference_area,\n})\n\nmass_names = [\"fw_inlet_mass\", \"fw_outlet_mass\"]\nif all(name in reports.surface.get_object_names() for name in mass_names):\n    mass_result = reports.compute(report_defs=mass_names)\n    mass_values = [value_of(mass_result, name) for name in mass_names]\n    scale = max(max(abs(value) for value in mass_values), 1e-20)\n    print(\"MASS_BALANCE_READBACK\", {\n        \"inlet\": mass_values[0],\n        \"outlet\": mass_values[1],\n        \"relative_imbalance\": abs(sum(mass_values)) / scale,\n    })\n\ntime_reports = reports.time\ntime_name = \"front_wing_actual_flow_time\"\nif time_name not in time_reports.get_object_names():\n    time_reports[time_name] = {}\ntime_report = time_reports[time_name]\nif \"report_type\" in getattr(time_report, \"child_names\", []):\n    if time_report.report_type.is_active():\n        options = time_report.report_type.allowed_values()\n        candidates = [\n            option for option in options\n            if option in [\"flow-time\", \"flow_time\", \"time-flow-time\"]\n        ]\n        if candidates:\n            time_report.report_type = candidates[0]\n            print(\"ACTUAL_FLOW_TIME\", reports.compute(report_defs=[time_name]))\n        else:\n            print(\"TIME_REPORT_OPTIONS\", options)\n\npaths = s.results.graphics.pathline\nif not paths.is_active():\n    raise RuntimeError(\"当前原生流线对象不可用。\")\n\npath_name = \"front_wing_streamlines\"\nif path_name not in paths.get_object_names():\n    paths[path_name] = {}\npath = paths[path_name]\nif not path.field.is_active():\n    raise RuntimeError(\"流线着色字段未激活。\")\nif \"velocity-magnitude\" not in path.field.allowed_values():\n    raise RuntimeError(\"流线速度着色字段不可用。\")\npath.field = \"velocity-magnitude\"\npath.release_from_surfaces = [\"inlet\"]\nprint(\"STREAMLINE_CONFIGURATION\", {\n    \"field\": path.field.get_state(),\n    \"release_from_surfaces\": path.release_from_surfaces.get_state(),\n})\nfor name in [\"step\", \"skip\", \"options\", \"accuracy_control\"]:\n    child = getattr(path, name)\n    if child.is_active():\n        print(\"STREAMLINE_CONTROL\", name, child.get_state())\n\nviews = s.results.graphics.views\nviews.restore_view(view_name=\"isometric\")\npaths.display(object_name=path_name)\nviews.auto_scale()\n\npicture = s.results.graphics.picture\nif \"save_picture\" not in getattr(picture, \"command_names\", []):\n    raise RuntimeError(\"原生图片保存命令不可用。\")\ncommand = picture.save_picture\nif \"file_name\" not in getattr(command, \"argument_names\", []):\n    raise RuntimeError(\"图片保存参数不匹配。\")\nstreamline_file = task_directory + r\"\\front_wing_streamlines.png\"\nprint(\"STREAMLINE_SAVE_RESULT\", command(file_name=streamline_file))\nprint(\"STREAMLINE_SAVE_PATH\", streamline_file)\n\nchecked(\n    \"WING_SURFACE_EXPORT\",\n    fluentagi.export_results(\n        directory=task_directory,\n        fields=[\"pressure\", \"velocity-magnitude\"],\n        surfaces=wing_zones,\n    ),\n)\n\ns.file.write_case_data(\n    file_name=task_directory + r\"\\front_wing_postprocessed_checkpoint.cas.h5\"\n)\nprint(\"POSTPROCESSING_SCOPE\", {\n    \"initialized\": False,\n    \"advanced_time_steps\": 0,\n    \"streamlines\": \"instantaneous_velocity_field\",\n    \"all_step_convergence_verified\": False,\n    \"force_stability_verified\": False,\n    \"mesh_independence_verified\": False,\n})"}}, "error": "{\"status\": \"error\", \"stdout\": \"CURRENT_SOLVER {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'unsteady-2nd-order'}\\nTRANSIENT_CONTROLS {'type': 'Fixed', 'method': 'User-Specified', 'time_step_count': 5, 'time_step_size': 0.0005, 'max_iter_per_time_step': 40, 'solution_status': False, 'extrapolate_variables': False, 'predict_next': False, 'fixed_periodic': {'enabled': False}, 'multiphase_specific_time_constraints': {'physics_based_constraint': False}, 'solid_time_step_size': {'enable_solid_time_step': False}}\\nWING_FORCE_ZONES ['walls:011', 'walls:012', 'walls:013', 'walls:014', 'walls:015', 'walls:016', 'walls:017', 'walls:018', 'walls:019', 'walls:020', 'walls:021', 'walls:022', 'walls:023', 'walls:024', 'walls:025', 'walls']\\n\\nfront_wing_drag_interface\\n -------------------\\n                           Force                 [N]\\n-------------------------------- -------------------\\n       front_wing_drag_interface           62.393976\\n\\nfront_wing_lift_interface\\n -------------------\\nAERODYNAMIC_READBACK {'drag': 62.3939761120949, 'lift': -392.0581030224447, 'downforce': 392.0581030224447, 'CD': 0.20504773772419368, 'CL': -1.2884357127163057, 'reference_area': 0.552}\\n                           Force                 [N]\\n-------------------------------- -------------------\\n       front_wing_lift_interface           -392.0581\\n\\n       fw_inlet_mass\\n -------------------\\n                  Mass Flow Rate              [kg/s]\\n-------------------------------- -------------------\\n                           inlet              105.84\\n\\n      fw_outlet_mass\\nMASS_BALANCE_READBACK {'inlet': 105.84, 'outlet': -105.8400043669596, 'relative_imbalance': 4.126000964533605e-08}\\n -------------------\\n                  Mass Flow Rate              [kg/s]\\n-------------------------------- -------------------\\n                          outlet             -105.84\\n\\nError: api-create-obj: new objects of this type cannot be created\\nError Object: \\\"solution/report-definitions/time\\\"\\n\", \"stderr\": \"\\nTraceback (most recent call last):\\n  File \\\"ansys\\\\fluent\\\\mcp\\\\solve\\\\backends\\\\pyfluent.py\\\", line 2793, in _do\\n    exec(  # noqa: S102  # nosec B102\\n  File \\\"<mcp>\\\", line 97, in <module>\\n  File \\\"ansys\\\\fluent\\\\core\\\\solver\\\\flobject.py\\\", line 2053, in __setitem__\\n    self.flproxy.create(self.path, name)\\n  File \\\"ansys\\\\fluent\\\\core\\\\services\\\\settings.py\\\", line 146, in _fn\\n    return fn(self, *args, **kwds)\\n           ^^^^^^^^^^^^^^^^^^^^^^^\\n  File \\\"ansys\\\\fluent\\\\core\\\\services\\\\settings.py\\\", line 240, in create\\n    self._service_impl.create(request)\\n  File \\\"ansys\\\\fluent\\\\core\\\\services\\\\settings.py\\\", line 77, in create\\n    return self.__stub.Create(request, metadata=self.__metadata)\\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n  File \\\"grpc\\\\_interceptor.py\\\", line 276, in __call__\\n  File \\\"grpc\\\\_interceptor.py\\\", line 328, in _with_call\\nRuntimeError: api-create-obj: new objects of this type cannot be created\\nError Object: solution/report-definitions/time\\n\", \"return_value\": null, \"message\": \"api-create-obj: new objects of this type cannot be created\\nError Object: solution/report-definitions/time\", \"error_code\": \"execution_error\", \"warnings\": []}", "note": "可能有部分操作已生效，请先检查实时状态，修复后继续。"}, {"action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\nimport math\n\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261018-142547-90d0a4\"\ns = solver.settings\n\ndef checked(label, result):\n    print(label, result)\n    if isinstance(result, dict):\n        if result.get(\"status\") in (\"error\", \"failed\", \"needs_review\"):\n            raise RuntimeError(str(result))\n        if result.get(\"error\") or result.get(\"errors\"):\n            raise RuntimeError(str(result))\n    return result\n\ndef numbers(value):\n    if isinstance(value, bool):\n        return []\n    if isinstance(value, (int, float)):\n        return [float(value)]\n    if isinstance(value, dict):\n        return [number for child in value.values() for number in numbers(child)]\n    if isinstance(value, (list, tuple)):\n        return [number for child in value for number in numbers(child)]\n    return []\n\ndef value_of(result, name):\n    if isinstance(result, dict):\n        if name in result:\n            values = numbers(result[name])\n            if values and math.isfinite(values[0]):\n                return values[0]\n        children = result.values()\n    elif isinstance(result, (list, tuple)):\n        children = result\n    else:\n        children = []\n    for child in children:\n        try:\n            return value_of(child, name)\n        except ValueError:\n            pass\n    raise ValueError(\"无法提取报告：\" + name + \"；返回：\" + str(result))\n\nif not s.setup.models.is_active():\n    raise RuntimeError(\"当前网格未激活。\")\n\nreports = s.solution.report_definitions\nif not reports.compute.is_active():\n    raise RuntimeError(\"当前解报告不可用，停止并保留结果。\")\n\nprint(\"CURRENT_SOLVER\", s.setup.general.solver.get_state())\nrun = s.solution.run_calculation\nif run.transient_controls.is_active():\n    print(\"TRANSIENT_CONTROLS\", run.transient_controls.get_state())\n\nforce_names = [\"front_wing_drag_interface\", \"front_wing_lift_interface\"]\nfor name in force_names:\n    if name not in reports.force.get_object_names():\n        raise RuntimeError(\"缺少已配置受力报告：\" + name)\n\nwing_zones = reports.force[force_names[0]].zones.get_state()\nlift_zones = reports.force[force_names[1]].zones.get_state()\nif not wing_zones or set(wing_zones) != set(lift_zones):\n    raise RuntimeError(\"升阻力统计区域为空或不一致。\")\n\nforce_result = reports.compute(report_defs=force_names)\ndrag, lift = [value_of(force_result, name) for name in force_names]\ndenominator = 0.5 * 1.225 * 30.0**2 * 0.552\nprint(\"AERODYNAMIC_READBACK\", {\n    \"drag\": drag,\n    \"lift\": lift,\n    \"downforce\": -lift,\n    \"CD\": drag / denominator,\n    \"CL\": lift / denominator,\n    \"reference_area\": 0.552,\n})\n\nmass_names = [\"fw_inlet_mass\", \"fw_outlet_mass\"]\nif all(name in reports.surface.get_object_names() for name in mass_names):\n    result = reports.compute(report_defs=mass_names)\n    mass_values = [value_of(result, name) for name in mass_names]\n    scale = max(max(abs(value) for value in mass_values), 1e-20)\n    print(\"MASS_BALANCE_READBACK\", {\n        \"inlet\": mass_values[0],\n        \"outlet\": mass_values[1],\n        \"relative_imbalance\": abs(sum(mass_values)) / scale,\n    })\n\npaths = s.results.graphics.pathline\nif not paths.is_active():\n    raise RuntimeError(\"当前原生流线对象不可用。\")\npath_name = \"front_wing_streamlines\"\nif path_name not in paths.get_object_names():\n    paths[path_name] = {}\npath = paths[path_name]\n\ntry:\n    if not path.field.is_active():\n        raise RuntimeError(\"流线着色字段未激活。\")\n    if \"velocity-magnitude\" not in path.field.allowed_values():\n        raise RuntimeError(\"流线速度着色字段不可用。\")\n    path.field = \"velocity-magnitude\"\n    path.release_from_surfaces = [\"inlet\"]\n    print(\"STREAMLINE_READBACK\", {\n        \"field\": path.field.get_state(),\n        \"release_from_surfaces\": path.release_from_surfaces.get_state(),\n    })\n    for name in [\"step\", \"skip\", \"options\", \"accuracy_control\"]:\n        child = getattr(path, name)\n        if child.is_active():\n            print(\"STREAMLINE_CONTROL\", name, child.get_state())\n\n    views = s.results.graphics.views\n    views.restore_view(view_name=\"isometric\")\n    paths.display(object_name=path_name)\n    views.auto_scale()\n\n    picture = s.results.graphics.picture\n    if \"save_picture\" not in getattr(picture, \"command_names\", []):\n        raise RuntimeError(\"原生图片保存命令不可用。\")\n    command = picture.save_picture\n    if \"file_name\" not in getattr(command, \"argument_names\", []):\n        raise RuntimeError(\"图片保存命令参数不匹配。\")\n    file_name = task_directory + r\"\\front_wing_streamlines.png\"\n    print(\"STREAMLINE_SAVE_RESULT\", command(file_name=file_name))\n    print(\"STREAMLINE_SAVE_PATH\", file_name)\n\n    checked(\n        \"WING_SURFACE_EXPORT\",\n        fluentagi.export_results(\n            directory=task_directory,\n            fields=[\"pressure\", \"velocity-magnitude\"],\n            surfaces=wing_zones,\n        ),\n    )\nfinally:\n    s.file.write_case_data(\n        file_name=task_directory + r\"\\front_wing_postprocessing_repair.cas.h5\"\n    )\n\nprint(\"POSTPROCESSING_SCOPE\", {\n    \"initialized\": False,\n    \"advanced_time_steps\": 0,\n    \"streamlines\": \"instantaneous_velocity_field\",\n    \"all_step_convergence_verified\": False,\n    \"force_stability_verified\": False,\n    \"mesh_independence_verified\": False,\n})"}}, "result": "{\"status\": \"ok\", \"stdout\": \"CURRENT_SOLVER {'type': 'pressure-based', 'velocity_formulation': 'absolute', 'time': 'unsteady-1st-order'}\\nTRANSIENT_CONTROLS {'type': 'Fixed', 'method': 'User-Specified', 'time_step_count': 5, 'time_step_size': 0.0005, 'max_iter_per_time_step': 40, 'solution_status': False, 'extrapolate_variables': False, 'predict_next': False, 'fixed_periodic': {'enabled': False}, 'multiphase_specific_time_constraints': {'physics_based_constraint': False}, 'solid_time_step_size': {'enable_solid_time_step': False}}\\n\\nfront_wing_drag_interface\\n -------------------\\n             \n…中间日志已省略，完整日志保存在任务目录…\n------------------- -------------------\\n       front_wing_drag_interface           62.393976\\n\\nAERODYNAMIC_READBACK {'drag': 62.3939761120949, 'lift': -392.0581030224447, 'downforce': 392.0581030224447, 'CD': 0.20504773772419368, 'CL': -1.2884357127163057, 'reference_area': 0.552}\\nfront_wing_lift_interface\\n -------------------\\n                           Force                 [N]\\n-------------------------------- -------------------\\n       front_wing_lift_interface           -392.0581\\n\\n       fw_inlet_mass\\n -------------------\\n                  Mass Flow Rate              [kg/s]\\n-------------------------------- -------------------\\n                           inlet              105.84\\n\\nMASS_BALANCE_READBACK {'inlet': 105.84, 'outlet': -105.8400043669596, 'relative_imbalance': 4.126000964533605e-08}\\n      fw_outlet_mass\\n -------------------\\n                  Mass Flow Rate              [kg/s]\\n-------------------------------- -------------------\\n                          outlet             -105.84\\nSTREAMLINE_READBACK {'field': 'velocity-magnitude', 'release_from_surfaces': ['inlet']}\\nSTREAMLINE_CONTROL step 500\\nSTREAMLINE_CONTROL skip 0\\nSTREAMLINE_CONTROL options {'oil_flow': False, 'reverse': False, 'node_values': True, 'relative': True}\\nSTREAMLINE_CONTROL accuracy_control {'option': 'tolerance', 'tolerance': 0.001}\\n\\nnumber tracked = 174, escaped = 174\\nSTREAMLINE_SAVE_RESULT None\\nSTREAMLINE_SAVE_PATH C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_streamlines.png\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\post-144003-c6a1\\\\result.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,    23 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\post-144003-c6a1\\\\result.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\nDone.\\nWING_SURFACE_EXPORT {'status': 'ok', 'directory': 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261018-142547-90d0a4\\\\\\\\post-144003-c6a1', 'created': '2026-10-18T14:40:03.363196', 'files': ['mesh.png', 'pressure.png', 'residual.csv', 'result.cas.h5', 'result.dat.h5', 'velocity-magnitude.png'], 'errors': [], 'convergence_verified': False}\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_postprocessing_repair.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n       68168 cells,     1 zone  ...\\n      145981 faces,    23 zones ...\\n       16156 nodes,     1 zone  ...\\n  Done.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261018-142547-90d0a4\\\\front_wing_postprocessing_repair.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\nDone.\\nPOSTPROCESSING_SCOPE {'initialized': False, 'advanced_time_steps': 0, 'streamlines': 'instantaneous_velocity_field', 'all_step_convergence_verified': False, 'force_stability_verified': False, 'mesh_independence_verified': False}\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
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<final_answer>前翼演示计算及后处理已完成，本轮未重新初始化或推进时间。

网格：68168个单元，包含局部加密。
当前阻力：62.39 N；下压力：392.06 N。
参考面积0.552 m²：CD＝0.205，CL＝−1.288。
进出口相对质量不平衡：4.13×10⁻⁸。
原生流线追踪174条，全部离开计算域；流线图片保存命令无报错。
表面图、残差CSV及Case/Data已导出至 post-144003-c6a1，导出无报错。

实际读回为一阶瞬态，并非原计划的二阶。全部时间步收敛、受力稳定性及网格无关性尚未验证，因此上述气动力仅作为演示结果。</final_answer>