用户需求：
那你帮我来一些其他装不到动画案例

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. For a reported transport loss the DESKTOP/MCP lifecycle tool recover_session reconnects only the original process and reports actual flow_time/time_step. It is NOT a fluentagi Python adapter: never call fluentagi.recover_session or a bare recover_session in generated Python. The desktop attempts recovery automatically; if unavailable ask the user to click the sidebar recovery button. Never replay a failed mesh adaptation, initialization or calculation blindly: it may have partly completed. Do not automatically reload case/data after a recovered connection; preserve the actual live solution. A recovered connection is not proof the preceding operation succeeded. 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.
For prescribed 2D circular carrier motion in quiescent water, Fluent 2024 R2 AND 2025 R2 are accepted by the new dynamic-mesh adapters; do not ask a 2024 user to switch to 2025. Use fluentagi.prepare_moving_circle(directory=case_directory, include_target=True, body_diameter=0.06, target_diameter=0.04, speed=0.1, ramp_time=0.4, end_time=2.2, time_step=0.005, size=0.012). It creates real CAD/triangles, native motion profile, smoothing and remeshing, and three moving wall arcs at -45/0/+45 degrees; no initialization. NEW analysis may explicitly set replace_loaded_model=True after backup. Only once, initialize_moving_body(directory=case_directory); it refuses existing initialized data. Continue with read_moving_body / resume_moving_body (default no reload) and advance_moving_body(directory=case_directory, steps=50, until_time=2.2, max_iter_per_step=100). Each call advances at most 50 actual steps and never past the absolute end; repeat only after reading real feedback, stopping on needs_review. Default requires per-step residual convergence. It exports native three-patch pressure CSV, PNG/GIF and paired Case/Data checkpoints. On timeout, inspect actual time and task state first; never reinitialize or replay blindly. restore_checkpoint=True is explicit recovery after backup, not the default. For paired cases use separate with/without directories and compare_moving_pressure(directory=...,with_target_directory=...,without_target_directory=...). Reuse existing case directories from conversation context for follow-ups. The pressure patches are moving WALL arc area averages, not arbitrary moving fluid-volume probe regions; ask for a supported measurement definition if a different one is essential. Existing planar triangular wall zones can use configure_dynamic_mesh(directory=...,zones=[...],speed=0.1,ramp_time=0.4,duration=2.2,min_length=0.001,max_length=0.03,max_skew=0.85); no geometry replacement/init/advance. inspect_dynamic_mesh reads actual native configuration/time and checks saved receipt. Unsupported here: rotation, 6DOF/contact, 3D/quad remeshing, hanging-node adaptation. Do not invent support. v252 commands are SDK-checked, native verification is required in customer execution; never claim v252 native testing from v242 results. A successful dynamic setup, real displacement or exported curves does not establish physically accurate or grid-independent pressure predictions.
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.
Mesh conversion preserves independent inlet-name/outlet-name/wall-name boundary zones (for example wall-wing and wall-ground). Read the configured mesh_cell_limit from runtime capabilities; never assume a 200000-cell limit or silently coarsen user geometry. Independent wall zones do not automatically set moving-wall physics or force reports; inspect real settings before configuring those. 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 (or independent inlet-name/outlet-name/wall-name groups), 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 or independent inlet-name/outlet-name/wall-name groups, 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):
[{"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 压力切面彩色显示修复 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\n切面: agi-section-e3e1d5\\n保留已有模型、网格及瞬态计算状态。\\n当前等值线对象: ['agi-animation-1a694a', 'agi-animation-ab2d5c', 'agi-contour-9d6ed5', 'agi-contour-c8d607', 'agi-contour-d1d18e', 'agi-pressure-cut-auto-repair']\\n上一轮对象状态: {'name': 'agi-pressure-cut-auto-repair', 'field': 'pressure', 'filled': True, 'boundary_values': True, 'contour_lines': False, 'node_values': True, 's\n…中间日志已省略，完整日志保存在任务目录…\n0.54, 'width': 6.0, 'bground_transparent': True, 'bground_color': '#CCD3E2', 'title_elements': 'Variable and Object Name'}, 'display_state_name': 'None', 'deformation': False, 'deformation_scale': 1.0}\\n压力变量核验: True\\n填色核验: True\\n切面绑定核验: True\\n自动范围核验: True\\n已提交压力切面显示请求。\\n\\n=== 导出切面压力 ===\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-125541-370e\\\\result.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n        2503 cells,     1 zone  ...\\n        5548 faces,     4 zones ...\\n         711 nodes,     1 zone  ...\\n  Done.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-125541-370e\\\\result.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n导出实际返回: {'status': 'ok', 'directory': 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-124717-f33d8b\\\\\\\\post-125541-370e', 'created': '2026-10-20T12:55:41.753468', 'files': ['mesh.png', 'pressure.png', 'residual.csv', 'result.cas.h5', 'result.dat.h5'], 'errors': [], 'convergence_verified': False}\\n导出状态: ok\\n输出目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124717-f33d8b\\\\post-125541-370e\\n收敛验证: False\\n\\n=== 处理结束 ===\\n未重新初始化、重建网格或推进物理时间。\\n请依据实际状态回读与导出反馈判断结果。\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"assistant": "本轮已经完成内部切面压力云图的配置修复，并取得实际导出结果。\n\n1. 已确认完成的部分\n\n内部切面：agi-section-e3e1d5\n\n绘图变量：pressure，已通过原生状态回读核验。\n\n显示方式：填色等值线，已通过核验。\n\n切面绑定：已确认绑定到指定内部切面。\n\n色标范围：已设置为局部自动范围，避免全局范围压缩切面内部的颜色差异。\n\n导出状态：ok，已生成 pressure.png、mesh.png、residual.csv 等文件。\n\n结果目录：\n\nC:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-124717-f33d8b\\post-125541-370e\n\n2. 还有两个问题需要区分\n\n是否仍然一片蓝色： 目前已经修正了色标范围，但没有实际查看导出的 PNG 图像，因此还不能保证视觉效果已经符合要求。原生状态中的 color_map.color 仍为 field-velocity，下一步应检查实际色带和图像，而不是盲目重复创建云图。\n\n流线动画： 本轮没有生成标准流线动画，当前执行的是切面压力云图导出。\n\n3. 结果可靠性\n\n导出返回 convergence_verified=False。这说明虽然后处理文件已导出，但求解收敛性尚未得到确认，不能将当前结果直接作为可靠的工程定量结论。\n\n建议下一步先检查 pressure.png 的实际颜色效果，再针对色带进行修正；保留现有模型、网格和计算结果，不重新初始化。（未取得自动收敛判据，请查看结果与日志）", "run_directory": "C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-124717-f33d8b"}, {"user": "那你帮我只展示的一次运动轨迹gif，然后做成动画"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 单次运动轨迹GIF导出修复 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-130018-98cdb1\\n保留当前模型、网格和已有结果。\\n不重载Case/Data，不初始化，不推进连续相流场。\\n\\n--- 第1步：检查DPM状态 ---\\ninspect_dpm返回: {'version': 'Ansys Fluent 2024 R2', 'mesh_active': True, 'supported_scope': 'steady one-way inert dust, single/group injection', 'initializes': False, 'advances_carrier': False, 'surface_injection_validated': False, 'model': {'general_settings': {'interaction': {'enabled'\n…中间日志已省略，完整日志保存在任务目录…\njection_type': {'option': 'single'}, 'particle_reinjector': {'enable': false}, 'initial_values': {'reference_frame': 'global', 'times': {'start_time': 0.020000004, 'stop_time': 0.020500004}, 'location': {'x': 0.028, 'y': 0.004, 'z': 0.028}, 'mass_flow_rate': {'flow_rate': 2.5e-06}, 'velocity': {'x_velocity': 0, 'y_velocity': 0, 'z_velocity': 0}, 'particle_size': {'diameter': 5e-05}}, 'physical_models': {'particle_drag': {'option': 'spherical'}, 'turbulent_dispersion': {'enabled': false}, 'particle_rotation': {'enabled': false}, 'rough_wall_treatment_enabled': false, 'custom_laws': {'law_1': 'inert-heating', 'law_2': 'inactive', 'law_3': 'inactive', 'law_4': 'inactive', 'law_5': 'inactive', 'law_6': 'inactive', 'law_7': 'inactive', 'law_8': 'inactive', 'law_9': 'inactive', 'law_10': 'inactive', 'switch': 'default'}}, 'parcel_method': {'option': 'standard'}}}}\\nmesh_active = True\\n识别到稳态标记 = True\\n识别到瞬态标记 = False\\n存在真实注入 = True\\n计划使用的单个注入 = general_settings\\n允许调用track_particles = True\\n\\n--- 第4步：导出单次颗粒运动轨迹GIF ---\\ntrack_particles失败: ValueError('This adapter replays steady carrier DPM; transient carrier/DPM is not validated')\\n\\n--- 第5步：结果汇总 ---\\n任务目录 = C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-130018-98cdb1\\n单个注入 = general_settings\\n是否执行轨迹导出 = False\\n当前没有可确认的轨迹GIF导出结果。\\n\\n=== 脚本结束 ===\\n本轮未重新初始化、未重建网格、未推进连续相流场。\\n当前运行时没有已验证的标准流线动画适配器；本轮仅尝试单次颗粒轨迹GIF。\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 瞬态颗粒单次运动 GIF ===\\n原算例目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124257-aacdc0\\n当前任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-130018-98cdb1\\n不重载、不初始化、不重建网格。\\n使用瞬态颗粒适配器，不调用稳态 track_particles。\\n收敛阈值使用适配器默认值，不擅自放宽。\\n\\n--- 第1步：确认当前真实 DPM 模式 ---\\nFluent 版本: Ansys Fluent 2024 R2\\n网格有效: True\\n瞬态颗粒跟踪已启用: True\\n检测到的真实颗粒注入数量: 0\\n真实注入名称: []\\n\\n--- 第2步：读取原算例的真实颗粒状态 ---\\n读取原算例失败: FileNotFoundError(2, 'No such file or directory')\\n停止推进，避免误操作其他目录中的算例。\\n\\n--- 第3步：按实际物理时间生成运动动画 ---\\n\\n--- 第4步：读取最终原生状态和动画文件 ---\\n最终状态回读失败: FileNotFoundError(2, 'No such file or directory')\\n读取已保存结果失败: FileNotFoundError(2, 'No such file or directory')\\n\\n=== 最终汇总 ===\\n目标物理时间: 0.2\\n最终可核实物理时间: None\\n发现的 GIF 路径: []\\n当前任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-130018-98cdb1\\n原算例目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124257-aacdc0\\n本脚本未重新初始化或重建网格。\\n只有返回结果明确包含 GIF 路径时，才确认发现了 GIF 文件。\\n未确认的文件、收敛状态和动画效果均不作成功声明。\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 单条颗粒运动轨迹 GIF ===\\n原任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-130018-98cdb1\\n独立算例目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-130018-98cdb1\\\\single-trajectory-demo-4a33f3af\\n目标物理时间: 0.2\\n保留原有结果；不重放旧的失败操作。\\n\\n--- 三维颗粒沉降箱体网格 ---\\n{'files': ['C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-130018-98cdb1\\\\\\\\single-trajectory-demo-4a33f3af\\\\\\\\cad-cc1ad584\\\\\\\\fluent.msh', 'C:\\\\\n…中间日志已省略，完整日志保存在任务目录…\nt.h5', 'case_sha256': '2d6e0626e98f3db858a465752793a733fd9e8147a763e6d9b0e835513c5dd741', 'data_sha256': '568cc7cd8aee3115c7d107501dc3b7fe5a0dfdac98c7fedf60154e2e5242adae', 'flow_time': 0.004, 'time_step_index': 1, 'batch': 'td-a24e65fe', 'counts': {'in_fluid': 0, 'trapped': 0, 'escaped': 0, 'aborted': 0, 'incomplete': 0, 'evaporated': 0}, 'mass_kg': {'in_fluid': 0.0, 'trapped': 0.0, 'escaped': 0.0, 'aborted': 0.0, 'incomplete': 0.0, 'evaporated': 0.0}, 'particle_positions': [{'seed': 0, 'fate': 'not_released', 'xyz': []}]}}\\n\\n=== 最终核验 ===\\n实际物理时间: 0.004\\n目标物理时间: 0.2\\n发现的 GIF 路径: []\\n算例目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-130018-98cdb1\\\\single-trajectory-demo-4a33f3af\\n说明：预先释放悬浮颗粒，非积尘再悬浮。\\n单个种子对应颗粒包轨迹，不代表真实颗粒数量。\\n只有实际返回 GIF 路径时才确认动画文件已导出。\\n演示结果仍需结合残差、质量守恒和颗粒收支评估。\\n\", \"stderr\": \"ansys\\\\fluent\\\\core\\\\services\\\\field_data.py:398: PyFluentDeprecationWarning: Function 'get_surface_data' is deprecated since version v0.34.0. Use 'get_field_data' instead.\\n  return self._field_data_accessor(*args, **kwargs)\\nansys\\\\fluent\\\\core\\\\field_data_interfaces.py:635: PyFluentDeprecationWarning: Structured face connectivity output is deprecated and will be replaced by the flat format in a future release. In the current release, pass 'flatten_connectivity=True' argument while creating the 'SurfaceFieldDataRequest' to request data in the flat format.\\n  warnings.warn(\\n\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"assistant": "本次执行结果表明：单条颗粒运动轨迹 GIF 尚未生成，计算需要先修复，不能直接继续推进。\n\n已完成： 三维箱体网格已创建，瞬态 DPM 已配置，计算推进了 1 个时间步。\n\n当前状态： 实际物理时间为 0.004 s，距离目标 0.2 s 仍有差距。\n\n为什么看不到颗粒： 颗粒计划释放时间为 0.020000004 s，目前尚未到达释放时刻，因此颗粒数量仍为 0。\n\n关键故障： all_steps_converged=False、all_air_balanced=False，运行状态为 needs_review。虽然保留了检查点，但这不代表计算成功。\n\n下一步建议： 先读取现有检查点和原生求解状态，检查首步残差、空气质量平衡及颗粒释放设置，再决定如何修复。不要重新初始化，也不要盲目重复失败的计算。\n\n修复并确认计算能够正常推进后，再生成只显示一条真实颗粒运动轨迹的 GIF。当前不应把已有的单帧预览当作完整动画，也不能宣称动画已经生成。（未取得自动收敛判据，请查看结果与日志）", "run_directory": "C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-130018-98cdb1"}, {"user": "那你帮我来一些其他装不到动画案例"}]
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[-name]", "outlet[-name]", "wall[-name]", "walls"], "independent_boundary_zones": true, "mesh_cell_limit": 2000000, "geometry_timeout_seconds": 3600, "cell_types": ["triangle", "quadrilateral", "tetrahedron", "hexahedron", "prism", "pyramid"]}, "script": {"imports": ["math", "json", "itertools", "functools", "collections", "dataclasses", "typing"], "adapters": ["configure_dynamic_mesh", "inspect_dynamic_mesh", "prepare_moving_circle", "initialize_moving_body", "read_moving_body", "resume_moving_body", "advance_moving_body", "compare_moving_pressure", "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": 1792473192.3542132, "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}, "dynamic_mesh": {"versions": ["v242", "v252"], "scope": "2D planar pure triangles, prescribed +X rigid translation; smoothing + local remeshing", "v242_native_validation": "real moving geometry and pressure patches; see shipped validation log", "v252_native_validation": "not installed locally; official generated SDK checked, each customer setup requires native case readback", "motion_is_real": true, "settings_receipt": "dynamic-mesh.json and unique Case snapshot", "continuation": "actual live time first; paired SHA256 Case/Data; never automatic initialization/replay", "chunk_steps": 50, "retry_safety": "absolute until_time", "unsupported": ["6DOF", "contact/collision", "rotation", "3D/quad remeshing", "hanging-node adaptation"], "pressure_patches": "three moving wall arcs, not volumetric pressure probes"}, "connection_recovery": {"mcp_tool": "recover_session", "python_adapter": false, "desktop_button": true, "original_endpoint_only": true, "automatically_replays_failed_operations": false, "initializes": false, "progress_readback": ["flow_time", "time_step"]}, "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": true}, "fluent_version": "Ansys Fluent 2024 R2", "model_active": true}
Current session:
{"connected": true, "dimension": 3, "mode": "solver", "owned": true, "continuation": true}
Task directory:
C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261020-131312-807b38
Current request:
那你帮我来一些其他装不到动画案例
【ChatGPT 回复】
ChatGPT 说：

计划：这次先做一个更适合演示的 二维圆形物体运动压力动画，使用已提供的动态网格适配器，不再重复失败的颗粒追踪。保留现有 Case/Data 备份，创建独立算例，逐批检查真实物理时间和收敛状态。后续还可以做水箱充水、圆柱绕流、切面压力动画和稳态 DPM 单条颗粒轨迹。

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

task_directory = r"C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261020-131312-807b38"
case_directory = task_directory + r"\moving-circle-animation-demo"
backup_path = task_directory + r"\before-moving-circle-demo.cas.h5"

target_time = 2.2
max_chunks = 10
results = []

def show_result(label, result):
    print("\n--- " + label + " ---")
    print(repr(result))

def needs_review(obj):
    if isinstance(obj, dict):
        if obj.get("needs_review") is True:
            return True
        for key in ("status", "run_status"):
            if str(obj.get(key, "")).lower() in (
                "failed", "error", "aborted", "needs_review"
            ):
                return True
        if obj.get("errors"):
            return True
        if obj.get("all_steps_converged") is False:
            return True
        for value in obj.values():
            if needs_review(value):
                return True
    elif isinstance(obj, (list, tuple)):
        for value in obj:
            if needs_review(value):
                return True
    return False

def find_time(obj):
    keys = (
        "final_time",
        "flow_time",
        "physical_time",
        "current_physical_time",
        "current_time",
        "actual_time",
        "simulation_time"
    )
    if isinstance(obj, dict):
        for key in keys:
            value = obj.get(key)
            if isinstance(value, (int, float)):
                return float(value)
        for value in obj.values():
            result = find_time(value)
            if result is not None:
                return result
    elif isinstance(obj, (list, tuple)):
        for value in obj:
            result = find_time(value)
            if result is not None:
                return result
    return None

def find_gifs(obj):
    paths = []
    if isinstance(obj, str):
        if obj.lower().endswith(".gif"):
            paths.append(obj)
    elif isinstance(obj, dict):
        for value in obj.values():
            paths.extend(find_gifs(value))
    elif isinstance(obj, (list, tuple)):
        for value in obj:
            paths.extend(find_gifs(value))
    return paths

def main():
    print("=== 二维圆形物体运动动画 ===")
    print("任务目录:", task_directory)
    print("独立算例:", case_directory)
    print("目标物理时间:", target_time)
    print("保留原算例，不重复执行失败的颗粒追踪。")

    # 1. 备份当前求解器状态。
    try:
        active = solver.is_active()
        print("当前求解器 active:", active)
        if not active:
            print("求解器不活跃，停止操作。")
            return

        backup = solver.settings.file.write_case_data(
            file_name=backup_path
        )
        show_result("原算例 Case/Data 备份", backup)
        if needs_review(backup):
            print("备份返回异常，停止替换模型。")
            return
    except Exception as exc:
        print("备份失败，未继续替换模型:", repr(exc))
        return

    # 2. 创建独立的二维动态网格算例。
    try:
        setup = fluentagi.prepare_moving_circle(
            directory=case_directory,
            include_target=True,
            body_diameter=0.06,
            target_diameter=0.04,
            speed=0.1,
            ramp_time=0.4,
            end_time=target_time,
            time_step=0.005,
            size=0.012,
            replace_loaded_model=True
        )
        show_result("动态网格与运动配置", setup)
        results.append(setup)
    except Exception as exc:
        print("动态网格配置异常，不初始化:", repr(exc))
        return

    if needs_review(setup):
        print("配置状态需要复核，停止。")
        return

    # 3. 检查网格，再对新算例初始化一次。
    try:
        mesh_check = solver.settings.mesh.check()
        show_result("网格检查", mesh_check)
        if needs_review(mesh_check):
            print("网格检查返回异常，停止初始化。")
            return
    except Exception as exc:
        print("网格检查失败，停止初始化:", repr(exc))
        return

    try:
        init_result = fluentagi.initialize_moving_body(
            directory=case_directory
        )
        show_result("新算例初始化", init_result)
        results.append(init_result)
    except Exception as exc:
        print("初始化异常，不自动重试:", repr(exc))
        return

    if needs_review(init_result):
        print("初始化状态需要复核，停止推进。")
        return

    # 4. 读取实际初始时间。
    try:
        state = fluentagi.read_moving_body(
            directory=case_directory
        )
        show_result("初始原生状态", state)
        results.append(state)
    except Exception as exc:
        print("初始状态读取失败:", repr(exc))
        return

    if needs_review(state):
        print("初始状态需要复核，停止推进。")
        return

    current_time = find_time(state)
    if current_time is None:
        print("未读取到真实物理时间，停止推进。")
        return

    print("初始真实物理时间:", current_time)

    # 5. 每批最多推进 50 步；每批后回读实际时间。
    for chunk in range(max_chunks):
        if current_time >= target_time - 1e-10:
            print("已达到目标物理时间。")
            break

        print(
            "\n推进批次:", chunk + 1,
            "当前时间:", current_time,
            "目标时间:", target_time
        )

        try:
            advance = fluentagi.advance_moving_body(
                directory=case_directory,
                steps=50,
                until_time=target_time,
                max_iter_per_step=100
            )
            show_result("动态网格推进结果", advance)
            results.append(advance)
        except Exception as exc:
            print("推进异常，停止，不盲目重放:", repr(exc))
            break

        if needs_review(advance):
            print("推进结果要求复核，停止后续计算。")
            break

        try:
            state = fluentagi.read_moving_body(
                directory=case_directory
            )
            show_result("推进后原生状态", state)
            results.append(state)
        except Exception as exc:
            print("状态回读失败，停止推进:", repr(exc))
            break

        if needs_review(state):
            print("原生状态要求复核，停止后续计算。")
            break

        next_time = find_time(state)
        if next_time is None:
            print("未取得推进后的实际物理时间，停止。")
            break

        if next_time <= current_time + 1e-12:
            print("物理时间未证实前进，停止以防重复计算。")
            break

        current_time = next_time
        print("已核实物理时间:", current_time)

    # 6. 读取最终原生状态及实际返回的 GIF 路径。
    try:
        final_state = fluentagi.read_moving_body(
            directory=case_directory
        )
        show_result("最终原生状态", final_state)
        results.append(final_state)
    except Exception as exc:
        print("最终状态读取失败:", repr(exc))
        return

    gif_paths = list(dict.fromkeys(find_gifs(results)))
    final_time = find_time(final_state)

    print("\n=== 最终核验 ===")
    print("目标物理时间:", target_time)
    print("最终实际物理时间:", final_time)
    print("GIF 路径:", gif_paths)
    print("算例目录:", case_directory)
    print("运动类型: 预设速度的圆形物体平移")
    print("压力输出: 以运动壁面上的指定弧段为测量区域")
    print("物理精度和网格无关性尚需独立验证。")

    if not gif_paths:
        print("当前返回结果未包含可确认的 GIF 路径。")
    if final_time is None or final_time < target_time - 1e-8:
        print("尚未证实达到目标物理时间。")

main()
```
</fluent_code>

<escape><final_answer>
本轮脚本计划建立一个独立的二维移动圆形物体算例，输出运动过程的压力结果和 GIF 动画，并保留原算例备份。计算会按实际时间分批推进，出现 needs_review 或无法确认时间推进时立即停止。

后续可以依次制作水箱充水 VOF 动画、二维圆柱绕流动画和稳态 DPM 单颗粒轨迹动画。它们对应不同的物理模型，不能把流场动画直接当作颗粒轨迹。

当前仅提供待执行脚本，尚未确认 GIF 已生成。 执行后应根据实际返回的物理时间、收敛反馈和 GIF 路径判断结果。
</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. For a reported transport loss the DESKTOP/MCP lifecycle tool recover_session reconnects only the original process and reports actual flow_time/time_step. It is NOT a fluentagi Python adapter: never call fluentagi.recover_session or a bare recover_session in generated Python. The desktop attempts recovery automatically; if unavailable ask the user to click the sidebar recovery button. Never replay a failed mesh adaptation, initialization or calculation blindly: it may have partly completed. Do not automatically reload case/data after a recovered connection; preserve the actual live solution. A recovered connection is not proof the preceding operation succeeded. 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.
For prescribed 2D circular carrier motion in quiescent water, Fluent 2024 R2 AND 2025 R2 are accepted by the new dynamic-mesh adapters; do not ask a 2024 user to switch to 2025. Use fluentagi.prepare_moving_circle(directory=case_directory, include_target=True, body_diameter=0.06, target_diameter=0.04, speed=0.1, ramp_time=0.4, end_time=2.2, time_step=0.005, size=0.012). It creates real CAD/triangles, native motion profile, smoothing and remeshing, and three moving wall arcs at -45/0/+45 degrees; no initialization. NEW analysis may explicitly set replace_loaded_model=True after backup. Only once, initialize_moving_body(directory=case_directory); it refuses existing initialized data. Continue with read_moving_body / resume_moving_body (default no reload) and advance_moving_body(directory=case_directory, steps=50, until_time=2.2, max_iter_per_step=100). Each call advances at most 50 actual steps and never past the absolute end; repeat only after reading real feedback, stopping on needs_review. Default requires per-step residual convergence. It exports native three-patch pressure CSV, PNG/GIF and paired Case/Data checkpoints. On timeout, inspect actual time and task state first; never reinitialize or replay blindly. restore_checkpoint=True is explicit recovery after backup, not the default. For paired cases use separate with/without directories and compare_moving_pressure(directory=...,with_target_directory=...,without_target_directory=...). Reuse existing case directories from conversation context for follow-ups. The pressure patches are moving WALL arc area averages, not arbitrary moving fluid-volume probe regions; ask for a supported measurement definition if a different one is essential. Existing planar triangular wall zones can use configure_dynamic_mesh(directory=...,zones=[...],speed=0.1,ramp_time=0.4,duration=2.2,min_length=0.001,max_length=0.03,max_skew=0.85); no geometry replacement/init/advance. inspect_dynamic_mesh reads actual native configuration/time and checks saved receipt. Unsupported here: rotation, 6DOF/contact, 3D/quad remeshing, hanging-node adaptation. Do not invent support. v252 commands are SDK-checked, native verification is required in customer execution; never claim v252 native testing from v242 results. A successful dynamic setup, real displacement or exported curves does not establish physically accurate or grid-independent pressure predictions.
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.
Mesh conversion preserves independent inlet-name/outlet-name/wall-name boundary zones (for example wall-wing and wall-ground). Read the configured mesh_cell_limit from runtime capabilities; never assume a 200000-cell limit or silently coarsen user geometry. Independent wall zones do not automatically set moving-wall physics or force reports; inspect real settings before configuring those. 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 (or independent inlet-name/outlet-name/wall-name groups), 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 or independent inlet-name/outlet-name/wall-name groups, 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": "本轮已经完成内部切面压力云图的配置修复，并取得实际导出结果。\n\n1. 已确认完成的部分\n\n内部切面：agi-section-e3e1d5\n\n绘图变量：pressure，已通过原生状态回读核验。\n\n显示方式：填色等值线，已通过核验。\n\n切面绑定：已确认绑定到指定内部切面。\n\n色标范围：已设置为局部自动范围，避免全局范围压缩切面内部的颜色差异。\n\n导出状态：ok，已生成 pressure.png、mesh.png、residual.csv 等文件。\n\n结果目录：\n\nC:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-124717-f33d8b\\post-125541-370e\n\n2. 还有两个问题需要区分\n\n是否仍然一片蓝色： 目前已经修正了色标范围，但没有实际查看导出的 PNG 图像，因此还不能保证视觉效果已经符合要求。原生状态中的 color_map.color 仍为 field-velocity，下一步应检查实际色带和图像，而不是盲目重复创建云图。\n\n流线动画： 本轮没有生成标准流线动画，当前执行的是切面压力云图导出。\n\n3. 结果可靠性\n\n导出返回 convergence_verified=False。这说明虽然后处理文件已导出，但求解收敛性尚未得到确认，不能将当前结果直接作为可靠的工程定量结论。\n\n建议下一步先检查 pressure.png 的实际颜色效果，再针对色带进行修正；保留现有模型、网格和计算结果，不重新初始化。（未取得自动收敛判据，请查看结果与日志）", "run_directory": "C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-124717-f33d8b"}, {"user": "那你帮我只展示的一次运动轨迹gif，然后做成动画"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 单次运动轨迹GIF导出修复 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-130018-98cdb1\\n保留当前模型、网格和已有结果。\\n不重载Case/Data，不初始化，不推进连续相流场。\\n\\n--- 第1步：检查DPM状态 ---\\ninspect_dpm返回: {'version': 'Ansys Fluent 2024 R2', 'mesh_active': True, 'supported_scope': 'steady one-way inert dust, single/group injection', 'initializes': False, 'advances_carrier': False, 'surface_injection_validated': False, 'model': {'general_settings': {'interaction': {'enabled'\n…中间日志已省略，完整日志保存在任务目录…\njection_type': {'option': 'single'}, 'particle_reinjector': {'enable': false}, 'initial_values': {'reference_frame': 'global', 'times': {'start_time': 0.020000004, 'stop_time': 0.020500004}, 'location': {'x': 0.028, 'y': 0.004, 'z': 0.028}, 'mass_flow_rate': {'flow_rate': 2.5e-06}, 'velocity': {'x_velocity': 0, 'y_velocity': 0, 'z_velocity': 0}, 'particle_size': {'diameter': 5e-05}}, 'physical_models': {'particle_drag': {'option': 'spherical'}, 'turbulent_dispersion': {'enabled': false}, 'particle_rotation': {'enabled': false}, 'rough_wall_treatment_enabled': false, 'custom_laws': {'law_1': 'inert-heating', 'law_2': 'inactive', 'law_3': 'inactive', 'law_4': 'inactive', 'law_5': 'inactive', 'law_6': 'inactive', 'law_7': 'inactive', 'law_8': 'inactive', 'law_9': 'inactive', 'law_10': 'inactive', 'switch': 'default'}}, 'parcel_method': {'option': 'standard'}}}}\\nmesh_active = True\\n识别到稳态标记 = True\\n识别到瞬态标记 = False\\n存在真实注入 = True\\n计划使用的单个注入 = general_settings\\n允许调用track_particles = True\\n\\n--- 第4步：导出单次颗粒运动轨迹GIF ---\\ntrack_particles失败: ValueError('This adapter replays steady carrier DPM; transient carrier/DPM is not validated')\\n\\n--- 第5步：结果汇总 ---\\n任务目录 = C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-130018-98cdb1\\n单个注入 = general_settings\\n是否执行轨迹导出 = False\\n当前没有可确认的轨迹GIF导出结果。\\n\\n=== 脚本结束 ===\\n本轮未重新初始化、未重建网格、未推进连续相流场。\\n当前运行时没有已验证的标准流线动画适配器；本轮仅尝试单次颗粒轨迹GIF。\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 瞬态颗粒单次运动 GIF ===\\n原算例目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124257-aacdc0\\n当前任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-130018-98cdb1\\n不重载、不初始化、不重建网格。\\n使用瞬态颗粒适配器，不调用稳态 track_particles。\\n收敛阈值使用适配器默认值，不擅自放宽。\\n\\n--- 第1步：确认当前真实 DPM 模式 ---\\nFluent 版本: Ansys Fluent 2024 R2\\n网格有效: True\\n瞬态颗粒跟踪已启用: True\\n检测到的真实颗粒注入数量: 0\\n真实注入名称: []\\n\\n--- 第2步：读取原算例的真实颗粒状态 ---\\n读取原算例失败: FileNotFoundError(2, 'No such file or directory')\\n停止推进，避免误操作其他目录中的算例。\\n\\n--- 第3步：按实际物理时间生成运动动画 ---\\n\\n--- 第4步：读取最终原生状态和动画文件 ---\\n最终状态回读失败: FileNotFoundError(2, 'No such file or directory')\\n读取已保存结果失败: FileNotFoundError(2, 'No such file or directory')\\n\\n=== 最终汇总 ===\\n目标物理时间: 0.2\\n最终可核实物理时间: None\\n发现的 GIF 路径: []\\n当前任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-130018-98cdb1\\n原算例目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124257-aacdc0\\n本脚本未重新初始化或重建网格。\\n只有返回结果明确包含 GIF 路径时，才确认发现了 GIF 文件。\\n未确认的文件、收敛状态和动画效果均不作成功声明。\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 单条颗粒运动轨迹 GIF ===\\n原任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-130018-98cdb1\\n独立算例目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-130018-98cdb1\\\\single-trajectory-demo-4a33f3af\\n目标物理时间: 0.2\\n保留原有结果；不重放旧的失败操作。\\n\\n--- 三维颗粒沉降箱体网格 ---\\n{'files': ['C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-130018-98cdb1\\\\\\\\single-trajectory-demo-4a33f3af\\\\\\\\cad-cc1ad584\\\\\\\\fluent.msh', 'C:\\\\\n…中间日志已省略，完整日志保存在任务目录…\nt.h5', 'case_sha256': '2d6e0626e98f3db858a465752793a733fd9e8147a763e6d9b0e835513c5dd741', 'data_sha256': '568cc7cd8aee3115c7d107501dc3b7fe5a0dfdac98c7fedf60154e2e5242adae', 'flow_time': 0.004, 'time_step_index': 1, 'batch': 'td-a24e65fe', 'counts': {'in_fluid': 0, 'trapped': 0, 'escaped': 0, 'aborted': 0, 'incomplete': 0, 'evaporated': 0}, 'mass_kg': {'in_fluid': 0.0, 'trapped': 0.0, 'escaped': 0.0, 'aborted': 0.0, 'incomplete': 0.0, 'evaporated': 0.0}, 'particle_positions': [{'seed': 0, 'fate': 'not_released', 'xyz': []}]}}\\n\\n=== 最终核验 ===\\n实际物理时间: 0.004\\n目标物理时间: 0.2\\n发现的 GIF 路径: []\\n算例目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-130018-98cdb1\\\\single-trajectory-demo-4a33f3af\\n说明：预先释放悬浮颗粒，非积尘再悬浮。\\n单个种子对应颗粒包轨迹，不代表真实颗粒数量。\\n只有实际返回 GIF 路径时才确认动画文件已导出。\\n演示结果仍需结合残差、质量守恒和颗粒收支评估。\\n\", \"stderr\": \"ansys\\\\fluent\\\\core\\\\services\\\\field_data.py:398: PyFluentDeprecationWarning: Function 'get_surface_data' is deprecated since version v0.34.0. Use 'get_field_data' instead.\\n  return self._field_data_accessor(*args, **kwargs)\\nansys\\\\fluent\\\\core\\\\field_data_interfaces.py:635: PyFluentDeprecationWarning: Structured face connectivity output is deprecated and will be replaced by the flat format in a future release. In the current release, pass 'flatten_connectivity=True' argument while creating the 'SurfaceFieldDataRequest' to request data in the flat format.\\n  warnings.warn(\\n\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"assistant": "本次执行结果表明：单条颗粒运动轨迹 GIF 尚未生成，计算需要先修复，不能直接继续推进。\n\n已完成： 三维箱体网格已创建，瞬态 DPM 已配置，计算推进了 1 个时间步。\n\n当前状态： 实际物理时间为 0.004 s，距离目标 0.2 s 仍有差距。\n\n为什么看不到颗粒： 颗粒计划释放时间为 0.020000004 s，目前尚未到达释放时刻，因此颗粒数量仍为 0。\n\n关键故障： all_steps_converged=False、all_air_balanced=False，运行状态为 needs_review。虽然保留了检查点，但这不代表计算成功。\n\n下一步建议： 先读取现有检查点和原生求解状态，检查首步残差、空气质量平衡及颗粒释放设置，再决定如何修复。不要重新初始化，也不要盲目重复失败的计算。\n\n修复并确认计算能够正常推进后，再生成只显示一条真实颗粒运动轨迹的 GIF。当前不应把已有的单帧预览当作完整动画，也不能宣称动画已经生成。（未取得自动收敛判据，请查看结果与日志）", "run_directory": "C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-130018-98cdb1"}, {"user": "那你帮我来一些其他装不到动画案例"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 二维圆形物体运动动画 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\n独立算例: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\moving-circle-animation-demo\\n目标物理时间: 2.2\\n保留原算例，不重复执行失败的颗粒追踪。\\n当前求解器 active: True\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\before-moving-circle-demo.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n        2503 cells,     1 zone  ...\\n        5548 faces,     4 zones ...\\n         711 nodes,     1 zone  ...\\n  Done.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\before-moving-circle-demo.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n\\n--- 原算例 Case/Data 备份 ---\\nNone\\n动态网格配置异常，不初始化: ValueError('This adapter requires a 2D solver, not 3D or 6DOF')\\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[-name]", "outlet[-name]", "wall[-name]", "walls"], "independent_boundary_zones": true, "mesh_cell_limit": 2000000, "geometry_timeout_seconds": 3600, "cell_types": ["triangle", "quadrilateral", "tetrahedron", "hexahedron", "prism", "pyramid"]}, "script": {"imports": ["math", "json", "itertools", "functools", "collections", "dataclasses", "typing"], "adapters": ["configure_dynamic_mesh", "inspect_dynamic_mesh", "prepare_moving_circle", "initialize_moving_body", "read_moving_body", "resume_moving_body", "advance_moving_body", "compare_moving_pressure", "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": 1792473192.3542132, "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}, "dynamic_mesh": {"versions": ["v242", "v252"], "scope": "2D planar pure triangles, prescribed +X rigid translation; smoothing + local remeshing", "v242_native_validation": "real moving geometry and pressure patches; see shipped validation log", "v252_native_validation": "not installed locally; official generated SDK checked, each customer setup requires native case readback", "motion_is_real": true, "settings_receipt": "dynamic-mesh.json and unique Case snapshot", "continuation": "actual live time first; paired SHA256 Case/Data; never automatic initialization/replay", "chunk_steps": 50, "retry_safety": "absolute until_time", "unsupported": ["6DOF", "contact/collision", "rotation", "3D/quad remeshing", "hanging-node adaptation"], "pressure_patches": "three moving wall arcs, not volumetric pressure probes"}, "connection_recovery": {"mcp_tool": "recover_session", "python_adapter": false, "desktop_button": true, "original_endpoint_only": true, "automatically_replays_failed_operations": false, "initializes": false, "progress_readback": ["flow_time", "time_step"]}, "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": true}, "fluent_version": "Ansys Fluent 2024 R2", "model_active": true}
Current session:
{"connected": true, "dimension": 3, "mode": "solver", "owned": true, "continuation": true}
Task directory:
C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261020-131312-807b38
Current request:
那你帮我来一些其他装不到动画案例
Desktop execution feedback:
[{"action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\n# Continue with the complete executable script here.\n\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-131312-807b38\"\ncase_directory = task_directory + r\"\\moving-circle-animation-demo\"\nbackup_path = task_directory + r\"\\before-moving-circle-demo.cas.h5\"\n\ntarget_time = 2.2\nmax_chunks = 10\nresults = []\n\ndef show_result(label, result):\n    print(\"\\n--- \" + label + \" ---\")\n    print(repr(result))\n\ndef needs_review(obj):\n    if isinstance(obj, dict):\n        if obj.get(\"needs_review\") is True:\n            return True\n        for key in (\"status\", \"run_status\"):\n            if str(obj.get(key, \"\")).lower() in (\n                \"failed\", \"error\", \"aborted\", \"needs_review\"\n            ):\n                return True\n        if obj.get(\"errors\"):\n            return True\n        if obj.get(\"all_steps_converged\") is False:\n            return True\n        for value in obj.values():\n            if needs_review(value):\n                return True\n    elif isinstance(obj, (list, tuple)):\n        for value in obj:\n            if needs_review(value):\n                return True\n    return False\n\ndef find_time(obj):\n    keys = (\n        \"final_time\",\n        \"flow_time\",\n        \"physical_time\",\n        \"current_physical_time\",\n        \"current_time\",\n        \"actual_time\",\n        \"simulation_time\"\n    )\n    if isinstance(obj, dict):\n        for key in keys:\n            value = obj.get(key)\n            if isinstance(value, (int, float)):\n                return float(value)\n        for value in obj.values():\n            result = find_time(value)\n            if result is not None:\n                return result\n    elif isinstance(obj, (list, tuple)):\n        for value in obj:\n            result = find_time(value)\n            if result is not None:\n                return result\n    return None\n\ndef find_gifs(obj):\n    paths = []\n    if isinstance(obj, str):\n        if obj.lower().endswith(\".gif\"):\n            paths.append(obj)\n    elif isinstance(obj, dict):\n        for value in obj.values():\n            paths.extend(find_gifs(value))\n    elif isinstance(obj, (list, tuple)):\n        for value in obj:\n            paths.extend(find_gifs(value))\n    return paths\n\ndef main():\n    print(\"=== 二维圆形物体运动动画 ===\")\n    print(\"任务目录:\", task_directory)\n    print(\"独立算例:\", case_directory)\n    print(\"目标物理时间:\", target_time)\n    print(\"保留原算例，不重复执行失败的颗粒追踪。\")\n\n    # 1. 备份当前求解器状态。\n    try:\n        active = solver.is_active()\n        print(\"当前求解器 active:\", active)\n        if not active:\n            print(\"求解器不活跃，停止操作。\")\n            return\n\n        backup = solver.settings.file.write_case_data(\n            file_name=backup_path\n        )\n        show_result(\"原算例 Case/Data 备份\", backup)\n        if needs_review(backup):\n            print(\"备份返回异常，停止替换模型。\")\n            return\n    except Exception as exc:\n        print(\"备份失败，未继续替换模型:\", repr(exc))\n        return\n\n    # 2. 创建独立的二维动态网格算例。\n    try:\n        setup = fluentagi.prepare_moving_circle(\n            directory=case_directory,\n            include_target=True,\n            body_diameter=0.06,\n            target_diameter=0.04,\n            speed=0.1,\n            ramp_time=0.4,\n            end_time=target_time,\n            time_step=0.005,\n            size=0.012,\n            replace_loaded_model=True\n        )\n        show_result(\"动态网格与运动配置\", setup)\n        results.append(setup)\n    except Exception as exc:\n        print(\"动态网格配置异常，不初始化:\", repr(exc))\n        return\n\n    if needs_review(setup):\n        print(\"配置状态需要复核，停止。\")\n        return\n\n    # 3. 检查网格，再对新算例初始化一次。\n    try:\n        mesh_check = solver.settings.mesh.check()\n        show_result(\"网格检查\", mesh_check)\n        if needs_review(mesh_check):\n            print(\"网格检查返回异常，停止初始化。\")\n            return\n    except Exception as exc:\n        print(\"网格检查失败，停止初始化:\", repr(exc))\n        return\n\n    try:\n        init_result = fluentagi.initialize_moving_body(\n            directory=case_directory\n        )\n        show_result(\"新算例初始化\", init_result)\n        results.append(init_result)\n    except Exception as exc:\n        print(\"初始化异常，不自动重试:\", repr(exc))\n        return\n\n    if needs_review(init_result):\n        print(\"初始化状态需要复核，停止推进。\")\n        return\n\n    # 4. 读取实际初始时间。\n    try:\n        state = fluentagi.read_moving_body(\n            directory=case_directory\n        )\n        show_result(\"初始原生状态\", state)\n        results.append(state)\n    except Exception as exc:\n        print(\"初始状态读取失败:\", repr(exc))\n        return\n\n    if needs_review(state):\n        print(\"初始状态需要复核，停止推进。\")\n        return\n\n    current_time = find_time(state)\n    if current_time is None:\n        print(\"未读取到真实物理时间，停止推进。\")\n        return\n\n    print(\"初始真实物理时间:\", current_time)\n\n    # 5. 每批最多推进 50 步；每批后回读实际时间。\n    for chunk in range(max_chunks):\n        if current_time >= target_time - 1e-10:\n            print(\"已达到目标物理时间。\")\n            break\n\n        print(\n            \"\\n推进批次:\", chunk + 1,\n            \"当前时间:\", current_time,\n            \"目标时间:\", target_time\n        )\n\n        try:\n            advance = fluentagi.advance_moving_body(\n                directory=case_directory,\n                steps=50,\n                until_time=target_time,\n                max_iter_per_step=100\n            )\n            show_result(\"动态网格推进结果\", advance)\n            results.append(advance)\n        except Exception as exc:\n            print(\"推进异常，停止，不盲目重放:\", repr(exc))\n            break\n\n        if needs_review(advance):\n            print(\"推进结果要求复核，停止后续计算。\")\n            break\n\n        try:\n            state = fluentagi.read_moving_body(\n                directory=case_directory\n            )\n            show_result(\"推进后原生状态\", state)\n            results.append(state)\n        except Exception as exc:\n            print(\"状态回读失败，停止推进:\", repr(exc))\n            break\n\n        if needs_review(state):\n            print(\"原生状态要求复核，停止后续计算。\")\n            break\n\n        next_time = find_time(state)\n        if next_time is None:\n            print(\"未取得推进后的实际物理时间，停止。\")\n            break\n\n        if next_time <= current_time + 1e-12:\n            print(\"物理时间未证实前进，停止以防重复计算。\")\n            break\n\n        current_time = next_time\n        print(\"已核实物理时间:\", current_time)\n\n    # 6. 读取最终原生状态及实际返回的 GIF 路径。\n    try:\n        final_state = fluentagi.read_moving_body(\n            directory=case_directory\n        )\n        show_result(\"最终原生状态\", final_state)\n        results.append(final_state)\n    except Exception as exc:\n        print(\"最终状态读取失败:\", repr(exc))\n        return\n\n    gif_paths = list(dict.fromkeys(find_gifs(results)))\n    final_time = find_time(final_state)\n\n    print(\"\\n=== 最终核验 ===\")\n    print(\"目标物理时间:\", target_time)\n    print(\"最终实际物理时间:\", final_time)\n    print(\"GIF 路径:\", gif_paths)\n    print(\"算例目录:\", case_directory)\n    print(\"运动类型: 预设速度的圆形物体平移\")\n    print(\"压力输出: 以运动壁面上的指定弧段为测量区域\")\n    print(\"物理精度和网格无关性尚需独立验证。\")\n\n    if not gif_paths:\n        print(\"当前返回结果未包含可确认的 GIF 路径。\")\n    if final_time is None or final_time < target_time - 1e-8:\n        print(\"尚未证实达到目标物理时间。\")\n\nmain()"}}, "result": "{\"status\": \"ok\", \"stdout\": \"=== 二维圆形物体运动动画 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\n独立算例: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\moving-circle-animation-demo\\n目标物理时间: 2.2\\n保留原算例，不重复执行失败的颗粒追踪。\\n当前求解器 active: True\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\before-moving-circle-demo.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n        2503 cells,     1 zone  ...\\n        5548 faces,     4 zones ...\\n         711 nodes,     1 zone  ...\\n  Done.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\before-moving-circle-demo.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n\\n--- 原算例 Case/Data 备份 ---\\nNone\\n动态网格配置异常，不初始化: ValueError('This adapter requires a 2D solver, not 3D or 6DOF')\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
【ChatGPT 回复】
ChatGPT 说：

计划：上一次失败的原因已经明确：当前 Fluent 会话是三维，而圆形运动适配器要求二维，不能直接重试。这次改为三维水箱充水 VOF 动画，使用独立算例目录，先备份当前 Case/Data，再生成三维网格、核对气液相、初始化新算例并导出动画。动画目标时长为 0.29 s，展示水相体积分数；不会宣称水箱已经充满。

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

task_directory = r"C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261020-131312-807b38"
case_directory = task_directory + r"\water-air-filling-demo"
backup_path = task_directory + r"\before-water-air-filling-demo.cas.h5"

length = 0.05
width = 0.02
height = 0.02
mesh_size = 0.004
velocity = 0.05
time_step = 0.001
frames = 30
steps_per_frame = 10
max_iter_per_step = 20

results = []

def show(label, value):
    print("\n--- " + label + " ---")
    print(repr(value))

def has_failure(obj):
    if isinstance(obj, dict):
        if obj.get("needs_review") is True:
            return True
        if obj.get("all_steps_converged") is False:
            return True
        for key in ("status", "run_status"):
            if str(obj.get(key, "")).lower() in (
                "failed", "error", "aborted", "needs_review"
            ):
                return True
        if obj.get("errors"):
            return True
        for value in obj.values():
            if has_failure(value):
                return True
    elif isinstance(obj, (list, tuple)):
        for value in obj:
            if has_failure(value):
                return True
    return False

def find_value(obj, wanted_key):
    if isinstance(obj, dict):
        if wanted_key in obj and isinstance(obj[wanted_key], str):
            return obj[wanted_key]
        for value in obj.values():
            found = find_value(value, wanted_key)
            if found:
                return found
    elif isinstance(obj, (list, tuple)):
        for value in obj:
            found = find_value(value, wanted_key)
            if found:
                return found
    return None

def find_gifs(obj):
    paths = []
    if isinstance(obj, str):
        if obj.lower().endswith(".gif"):
            paths.append(obj)
    elif isinstance(obj, dict):
        for value in obj.values():
            paths.extend(find_gifs(value))
    elif isinstance(obj, (list, tuple)):
        for value in obj:
            paths.extend(find_gifs(value))
    return paths

def water_is_phase2(obj):
    if isinstance(obj, dict):
        identity = " ".join(
            str(obj.get(key, ""))
            for key in ("phase", "name", "tag", "phase_name")
        ).lower().replace("_", "-")
        material = " ".join(
            str(obj.get(key, ""))
            for key in ("material", "material_name", "assigned_material")
        ).lower()

        if "phase-2" in identity and "water-liquid" in material:
            return True

        for key, value in obj.items():
            normalized_key = str(key).lower().replace("_", "-")
            if (
                "phase-2" in normalized_key
                and "water-liquid" in str(value).lower()
            ):
                return True
            if water_is_phase2(value):
                return True

    elif isinstance(obj, (list, tuple)):
        for value in obj:
            if water_is_phase2(value):
                return True

    return False

def main():
    print("=== 三维水箱充水 VOF 动画 ===")
    print("任务目录:", task_directory)
    print("独立算例目录:", case_directory)
    print("现有求解器维度: 3D")
    print("原有结果保留；不重试二维运动适配器。")

    # 1. 检查连接并备份当前 Case/Data。
    try:
        if not solver.is_active():
            print("当前求解器不活跃，停止操作。")
            return

        backup = solver.settings.file.write_case_data(
            file_name=backup_path
        )
        show("当前 Case/Data 备份", backup)
        print("备份目标:", backup_path)

    except Exception as exc:
        print("备份失败，停止操作:", repr(exc))
        return

    # 2. 为独立算例生成真实三维四面体网格。
    try:
        mesh_result = fluentagi.build_volume(
            directory=case_directory,
            shape="box",
            length=length,
            width=width,
            height=height,
            size=mesh_size,
            mesh_type="tet"
        )
        show("三维网格生成结果", mesh_result)
        results.append(mesh_result)

    except Exception as exc:
        print("网格生成失败:", repr(exc))
        return

    if has_failure(mesh_result):
        print("网格生成结果需要复核，停止。")
        return

    mesh_file = find_value(mesh_result, "mesh_file")
    if not mesh_file:
        print("未取得明确的 Fluent 网格文件路径，停止。")
        return

    # 3. 读取新网格并执行网格检查。
    try:
        read_result = solver.settings.file.read_mesh(
            file_name=mesh_file
        )
        show("读取 Fluent 网格", read_result)

        check_result = solver.settings.mesh.check()
        show("网格检查", check_result)
        results.extend([read_result, check_result])

    except Exception as exc:
        print("读取或检查网格失败:", repr(exc))
        return

    if has_failure(check_result):
        print("网格检查异常，停止配置物理模型。")
        return

    # 4. 配置水-空气两相 VOF。
    try:
        physics = fluentagi.configure_water_air(
            directory=case_directory,
            velocity=velocity,
            time_step=time_step,
            gravity_y=-9.81,
            inlet="inlet",
            outlet="outlet"
        )
        show("水-空气 VOF 配置", physics)
        results.append(physics)

    except Exception as exc:
        print("VOF 配置失败:", repr(exc))
        return

    if has_failure(physics):
        print("VOF 配置需要复核，停止。")
        return

    # 5. 必须确认 phase-2 确实是 water-liquid。
    try:
        phase_state = fluentagi.inspect_phases()
        show("实际气液相映射", phase_state)
        results.append(phase_state)

    except Exception as exc:
        print("无法核实气液相映射，停止初始化:", repr(exc))
        return

    if not water_is_phase2(phase_state):
        print("未能确认 phase-2=water-liquid。")
        print("为避免显示错误的体积分数，不执行初始化或动画。")
        return

    # 6. 仅初始化这个新建算例，不初始化原有结果。
    try:
        init_result = fluentagi.initialize_air(
            directory=case_directory
        )
        show("新算例初始化", init_result)
        results.append(init_result)

    except Exception as exc:
        print("初始化失败，不自动重复:", repr(exc))
        return

    if has_failure(init_result):
        print("初始化状态需要复核，停止推进。")
        return

    # 7. 创建内部 Z 中截面，用水相体积分数展示充水过程。
    try:
        section = fluentagi.create_section(
            axis="z",
            position=height / 2.0
        )
        show("内部截面", section)

    except Exception as exc:
        print("创建内部截面失败，停止动画:", repr(exc))
        return

    if not isinstance(section, dict) or not section.get("surface"):
        print("未取得有效的截面名称，停止动画。")
        return

    # 8. 动画会真实推进瞬态求解；每次返回后检查状态。
    try:
        animation = fluentagi.record_animation(
            directory=case_directory,
            field="phase-2-vof",
            frames=frames,
            steps_per_frame=steps_per_frame,
            max_iter_per_step=max_iter_per_step,
            surfaces=[section["surface"]]
        )
        show("水相体积分数动画", animation)
        results.append(animation)

    except Exception as exc:
        print("动画推进或导出异常，不盲目重试:", repr(exc))
        return

    # 9. 导出截面压力和速度结果，不额外推进计算。
    try:
        export_result = fluentagi.export_results(
            directory=case_directory,
            fields=["pressure", "velocity-magnitude"],
            surfaces=[section["surface"]]
        )
        show("截面结果导出", export_result)
        results.append(export_result)

    except Exception as exc:
        print("截面结果导出失败:", repr(exc))

    # 10. 汇总实际返回的文件与状态。
    gif_paths = list(dict.fromkeys(find_gifs(results)))

    print("\n=== 最终核验 ===")
    print("算例目录:", case_directory)
    print("动画帧数:", frames)
    print("每帧间隔推进步数:", steps_per_frame)
    print("时间步长:", time_step)
    print(
        "计划动画物理时长:",
        (frames - 1) * steps_per_frame * time_step,
        "s"
    )
    print("实际返回的 GIF 路径:", gif_paths)
    print("动画返回状态需要复核:", has_failure(animation))

    if not gif_paths:
        print("尚未取得可确认的 GIF 文件路径。")

    if has_failure(animation):
        print("动画结果需要检查残差、质量守恒及原生求解状态。")

    print("截面动画仅代表 Z 中截面，不是完整三维体渲染。")
    print("当前模拟时长有限，不宣称水箱已完全充满。")

main()
```
</fluent_code>

<escape><final_answer>
本次修正采用三维水-空气 VOF 充水动画，避免再次调用仅支持二维求解器的圆形运动适配器。脚本会备份原算例，在独立目录生成网格，核对水相映射后才初始化和推进计算，并尝试导出内部截面的水相体积分数 GIF。

注意： 0.29 s 是计划的动画物理时长，不代表实际计算已经完成。最终需要检查执行日志、收敛状态、质量守恒以及实际返回的 GIF 路径；如果截面创建接口或相映射核验失败，脚本会停止，而不会把未验证的结果当作成功。
</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. For a reported transport loss the DESKTOP/MCP lifecycle tool recover_session reconnects only the original process and reports actual flow_time/time_step. It is NOT a fluentagi Python adapter: never call fluentagi.recover_session or a bare recover_session in generated Python. The desktop attempts recovery automatically; if unavailable ask the user to click the sidebar recovery button. Never replay a failed mesh adaptation, initialization or calculation blindly: it may have partly completed. Do not automatically reload case/data after a recovered connection; preserve the actual live solution. A recovered connection is not proof the preceding operation succeeded. 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.
For prescribed 2D circular carrier motion in quiescent water, Fluent 2024 R2 AND 2025 R2 are accepted by the new dynamic-mesh adapters; do not ask a 2024 user to switch to 2025. Use fluentagi.prepare_moving_circle(directory=case_directory, include_target=True, body_diameter=0.06, target_diameter=0.04, speed=0.1, ramp_time=0.4, end_time=2.2, time_step=0.005, size=0.012). It creates real CAD/triangles, native motion profile, smoothing and remeshing, and three moving wall arcs at -45/0/+45 degrees; no initialization. NEW analysis may explicitly set replace_loaded_model=True after backup. Only once, initialize_moving_body(directory=case_directory); it refuses existing initialized data. Continue with read_moving_body / resume_moving_body (default no reload) and advance_moving_body(directory=case_directory, steps=50, until_time=2.2, max_iter_per_step=100). Each call advances at most 50 actual steps and never past the absolute end; repeat only after reading real feedback, stopping on needs_review. Default requires per-step residual convergence. It exports native three-patch pressure CSV, PNG/GIF and paired Case/Data checkpoints. On timeout, inspect actual time and task state first; never reinitialize or replay blindly. restore_checkpoint=True is explicit recovery after backup, not the default. For paired cases use separate with/without directories and compare_moving_pressure(directory=...,with_target_directory=...,without_target_directory=...). Reuse existing case directories from conversation context for follow-ups. The pressure patches are moving WALL arc area averages, not arbitrary moving fluid-volume probe regions; ask for a supported measurement definition if a different one is essential. Existing planar triangular wall zones can use configure_dynamic_mesh(directory=...,zones=[...],speed=0.1,ramp_time=0.4,duration=2.2,min_length=0.001,max_length=0.03,max_skew=0.85); no geometry replacement/init/advance. inspect_dynamic_mesh reads actual native configuration/time and checks saved receipt. Unsupported here: rotation, 6DOF/contact, 3D/quad remeshing, hanging-node adaptation. Do not invent support. v252 commands are SDK-checked, native verification is required in customer execution; never claim v252 native testing from v242 results. A successful dynamic setup, real displacement or exported curves does not establish physically accurate or grid-independent pressure predictions.
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.
Mesh conversion preserves independent inlet-name/outlet-name/wall-name boundary zones (for example wall-wing and wall-ground). Read the configured mesh_cell_limit from runtime capabilities; never assume a 200000-cell limit or silently coarsen user geometry. Independent wall zones do not automatically set moving-wall physics or force reports; inspect real settings before configuring those. 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 (or independent inlet-name/outlet-name/wall-name groups), 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 or independent inlet-name/outlet-name/wall-name groups, 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": "那你帮我只展示的一次运动轨迹gif，然后做成动画"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 单次运动轨迹GIF导出修复 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-130018-98cdb1\\n保留当前模型、网格和已有结果。\\n不重载Case/Data，不初始化，不推进连续相流场。\\n\\n--- 第1步：检查DPM状态 ---\\ninspect_dpm返回: {'version': 'Ansys Fluent 2024 R2', 'mesh_active': True, 'supported_scope': 'steady one-way inert dust, single/group injection', 'initializes': False, 'advances_carrier': False, 'surface_injection_validated': False, 'model': {'general_settings': {'interaction': {'enabled'\n…中间日志已省略，完整日志保存在任务目录…\njection_type': {'option': 'single'}, 'particle_reinjector': {'enable': false}, 'initial_values': {'reference_frame': 'global', 'times': {'start_time': 0.020000004, 'stop_time': 0.020500004}, 'location': {'x': 0.028, 'y': 0.004, 'z': 0.028}, 'mass_flow_rate': {'flow_rate': 2.5e-06}, 'velocity': {'x_velocity': 0, 'y_velocity': 0, 'z_velocity': 0}, 'particle_size': {'diameter': 5e-05}}, 'physical_models': {'particle_drag': {'option': 'spherical'}, 'turbulent_dispersion': {'enabled': false}, 'particle_rotation': {'enabled': false}, 'rough_wall_treatment_enabled': false, 'custom_laws': {'law_1': 'inert-heating', 'law_2': 'inactive', 'law_3': 'inactive', 'law_4': 'inactive', 'law_5': 'inactive', 'law_6': 'inactive', 'law_7': 'inactive', 'law_8': 'inactive', 'law_9': 'inactive', 'law_10': 'inactive', 'switch': 'default'}}, 'parcel_method': {'option': 'standard'}}}}\\nmesh_active = True\\n识别到稳态标记 = True\\n识别到瞬态标记 = False\\n存在真实注入 = True\\n计划使用的单个注入 = general_settings\\n允许调用track_particles = True\\n\\n--- 第4步：导出单次颗粒运动轨迹GIF ---\\ntrack_particles失败: ValueError('This adapter replays steady carrier DPM; transient carrier/DPM is not validated')\\n\\n--- 第5步：结果汇总 ---\\n任务目录 = C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-130018-98cdb1\\n单个注入 = general_settings\\n是否执行轨迹导出 = False\\n当前没有可确认的轨迹GIF导出结果。\\n\\n=== 脚本结束 ===\\n本轮未重新初始化、未重建网格、未推进连续相流场。\\n当前运行时没有已验证的标准流线动画适配器；本轮仅尝试单次颗粒轨迹GIF。\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 瞬态颗粒单次运动 GIF ===\\n原算例目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124257-aacdc0\\n当前任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-130018-98cdb1\\n不重载、不初始化、不重建网格。\\n使用瞬态颗粒适配器，不调用稳态 track_particles。\\n收敛阈值使用适配器默认值，不擅自放宽。\\n\\n--- 第1步：确认当前真实 DPM 模式 ---\\nFluent 版本: Ansys Fluent 2024 R2\\n网格有效: True\\n瞬态颗粒跟踪已启用: True\\n检测到的真实颗粒注入数量: 0\\n真实注入名称: []\\n\\n--- 第2步：读取原算例的真实颗粒状态 ---\\n读取原算例失败: FileNotFoundError(2, 'No such file or directory')\\n停止推进，避免误操作其他目录中的算例。\\n\\n--- 第3步：按实际物理时间生成运动动画 ---\\n\\n--- 第4步：读取最终原生状态和动画文件 ---\\n最终状态回读失败: FileNotFoundError(2, 'No such file or directory')\\n读取已保存结果失败: FileNotFoundError(2, 'No such file or directory')\\n\\n=== 最终汇总 ===\\n目标物理时间: 0.2\\n最终可核实物理时间: None\\n发现的 GIF 路径: []\\n当前任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-130018-98cdb1\\n原算例目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-124257-aacdc0\\n本脚本未重新初始化或重建网格。\\n只有返回结果明确包含 GIF 路径时，才确认发现了 GIF 文件。\\n未确认的文件、收敛状态和动画效果均不作成功声明。\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 单条颗粒运动轨迹 GIF ===\\n原任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-130018-98cdb1\\n独立算例目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-130018-98cdb1\\\\single-trajectory-demo-4a33f3af\\n目标物理时间: 0.2\\n保留原有结果；不重放旧的失败操作。\\n\\n--- 三维颗粒沉降箱体网格 ---\\n{'files': ['C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-130018-98cdb1\\\\\\\\single-trajectory-demo-4a33f3af\\\\\\\\cad-cc1ad584\\\\\\\\fluent.msh', 'C:\\\\\n…中间日志已省略，完整日志保存在任务目录…\nt.h5', 'case_sha256': '2d6e0626e98f3db858a465752793a733fd9e8147a763e6d9b0e835513c5dd741', 'data_sha256': '568cc7cd8aee3115c7d107501dc3b7fe5a0dfdac98c7fedf60154e2e5242adae', 'flow_time': 0.004, 'time_step_index': 1, 'batch': 'td-a24e65fe', 'counts': {'in_fluid': 0, 'trapped': 0, 'escaped': 0, 'aborted': 0, 'incomplete': 0, 'evaporated': 0}, 'mass_kg': {'in_fluid': 0.0, 'trapped': 0.0, 'escaped': 0.0, 'aborted': 0.0, 'incomplete': 0.0, 'evaporated': 0.0}, 'particle_positions': [{'seed': 0, 'fate': 'not_released', 'xyz': []}]}}\\n\\n=== 最终核验 ===\\n实际物理时间: 0.004\\n目标物理时间: 0.2\\n发现的 GIF 路径: []\\n算例目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-130018-98cdb1\\\\single-trajectory-demo-4a33f3af\\n说明：预先释放悬浮颗粒，非积尘再悬浮。\\n单个种子对应颗粒包轨迹，不代表真实颗粒数量。\\n只有实际返回 GIF 路径时才确认动画文件已导出。\\n演示结果仍需结合残差、质量守恒和颗粒收支评估。\\n\", \"stderr\": \"ansys\\\\fluent\\\\core\\\\services\\\\field_data.py:398: PyFluentDeprecationWarning: Function 'get_surface_data' is deprecated since version v0.34.0. Use 'get_field_data' instead.\\n  return self._field_data_accessor(*args, **kwargs)\\nansys\\\\fluent\\\\core\\\\field_data_interfaces.py:635: PyFluentDeprecationWarning: Structured face connectivity output is deprecated and will be replaced by the flat format in a future release. In the current release, pass 'flatten_connectivity=True' argument while creating the 'SurfaceFieldDataRequest' to request data in the flat format.\\n  warnings.warn(\\n\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"assistant": "本次执行结果表明：单条颗粒运动轨迹 GIF 尚未生成，计算需要先修复，不能直接继续推进。\n\n已完成： 三维箱体网格已创建，瞬态 DPM 已配置，计算推进了 1 个时间步。\n\n当前状态： 实际物理时间为 0.004 s，距离目标 0.2 s 仍有差距。\n\n为什么看不到颗粒： 颗粒计划释放时间为 0.020000004 s，目前尚未到达释放时刻，因此颗粒数量仍为 0。\n\n关键故障： all_steps_converged=False、all_air_balanced=False，运行状态为 needs_review。虽然保留了检查点，但这不代表计算成功。\n\n下一步建议： 先读取现有检查点和原生求解状态，检查首步残差、空气质量平衡及颗粒释放设置，再决定如何修复。不要重新初始化，也不要盲目重复失败的计算。\n\n修复并确认计算能够正常推进后，再生成只显示一条真实颗粒运动轨迹的 GIF。当前不应把已有的单帧预览当作完整动画，也不能宣称动画已经生成。（未取得自动收敛判据，请查看结果与日志）", "run_directory": "C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-130018-98cdb1"}, {"user": "那你帮我来一些其他装不到动画案例"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 二维圆形物体运动动画 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\n独立算例: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\moving-circle-animation-demo\\n目标物理时间: 2.2\\n保留原算例，不重复执行失败的颗粒追踪。\\n当前求解器 active: True\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\before-moving-circle-demo.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n        2503 cells,     1 zone  ...\\n        5548 faces,     4 zones ...\\n         711 nodes,     1 zone  ...\\n  Done.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\before-moving-circle-demo.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n\\n--- 原算例 Case/Data 备份 ---\\nNone\\n动态网格配置异常，不初始化: ValueError('This adapter requires a 2D solver, not 3D or 6DOF')\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"tool": "run_code", "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维水箱充水 VOF 动画 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\n独立算例目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\water-air-filling-demo\\n现有求解器维度: 3D\\n原有结果保留；不重试二维运动适配器。\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\before-water-air-filling-demo.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplac\n…中间日志已省略，完整日志保存在任务目录…\n\\20261020-131312-807b38\\\\\\\\water-air-filling-demo\\\\\\\\animation-bcfd960c', 'convergence_verified': False}\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\water-air-filling-demo\\\\post-132855-7329\\\\result.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n        1844 cells,     1 zone  ...\\n        4098 faces,     4 zones ...\\n         525 nodes,     1 zone  ...\\n  Done.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\water-air-filling-demo\\\\post-132855-7329\\\\result.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\nDone.\\n\\n--- 截面结果导出 ---\\n{'status': 'ok', 'directory': 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-131312-807b38\\\\\\\\water-air-filling-demo\\\\\\\\post-132855-7329', 'created': '2026-10-20T13:28:55.810709', 'files': ['mesh.png', 'pressure.png', 'residual.csv', 'result.cas.h5', 'result.dat.h5', 'velocity-magnitude.png'], 'errors': [], 'convergence_verified': False}\\n\\n=== 最终核验 ===\\n算例目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\water-air-filling-demo\\n动画帧数: 30\\n每帧间隔推进步数: 10\\n时间步长: 0.001\\n计划动画物理时长: 0.29 s\\n实际返回的 GIF 路径: []\\n动画返回状态需要复核: False\\n尚未取得可确认的 GIF 文件路径。\\n截面动画仅代表 Z 中截面，不是完整三维体渲染。\\n当前模拟时长有限，不宣称水箱已完全充满。\\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[-name]", "outlet[-name]", "wall[-name]", "walls"], "independent_boundary_zones": true, "mesh_cell_limit": 2000000, "geometry_timeout_seconds": 3600, "cell_types": ["triangle", "quadrilateral", "tetrahedron", "hexahedron", "prism", "pyramid"]}, "script": {"imports": ["math", "json", "itertools", "functools", "collections", "dataclasses", "typing"], "adapters": ["configure_dynamic_mesh", "inspect_dynamic_mesh", "prepare_moving_circle", "initialize_moving_body", "read_moving_body", "resume_moving_body", "advance_moving_body", "compare_moving_pressure", "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": 1792473192.3542132, "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}, "dynamic_mesh": {"versions": ["v242", "v252"], "scope": "2D planar pure triangles, prescribed +X rigid translation; smoothing + local remeshing", "v242_native_validation": "real moving geometry and pressure patches; see shipped validation log", "v252_native_validation": "not installed locally; official generated SDK checked, each customer setup requires native case readback", "motion_is_real": true, "settings_receipt": "dynamic-mesh.json and unique Case snapshot", "continuation": "actual live time first; paired SHA256 Case/Data; never automatic initialization/replay", "chunk_steps": 50, "retry_safety": "absolute until_time", "unsupported": ["6DOF", "contact/collision", "rotation", "3D/quad remeshing", "hanging-node adaptation"], "pressure_patches": "three moving wall arcs, not volumetric pressure probes"}, "connection_recovery": {"mcp_tool": "recover_session", "python_adapter": false, "desktop_button": true, "original_endpoint_only": true, "automatically_replays_failed_operations": false, "initializes": false, "progress_readback": ["flow_time", "time_step"]}, "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": true}, "fluent_version": "Ansys Fluent 2024 R2", "model_active": true}
Current session:
{"connected": true, "dimension": 3, "mode": "solver", "owned": true, "continuation": true}
Task directory:
C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261020-131312-807b38
Current request:
那你帮我来一些其他装不到动画案例
Desktop execution feedback:
[{"action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\n# Continue with the complete executable script here.\n\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-131312-807b38\"\ncase_directory = task_directory + r\"\\moving-circle-animation-demo\"\nbackup_path = task_directory + r\"\\before-moving-circle-demo.cas.h5\"\n\ntarget_time = 2.2\nmax_chunks = 10\nresults = []\n\ndef show_result(label, result):\n    print(\"\\n--- \" + label + \" ---\")\n    print(repr(result))\n\ndef needs_review(obj):\n    if isinstance(obj, dict):\n        if obj.get(\"needs_review\") is True:\n            return True\n        for key in (\"status\", \"run_status\"):\n            if str(obj.get(key, \"\")).lower() in (\n                \"failed\", \"error\", \"aborted\", \"needs_review\"\n            ):\n                return True\n        if obj.get(\"errors\"):\n            return True\n        if obj.get(\"all_steps_converged\") is False:\n            return True\n        for value in obj.values():\n            if needs_review(value):\n                return True\n    elif isinstance(obj, (list, tuple)):\n        for value in obj:\n            if needs_review(value):\n                return True\n    return False\n\ndef find_time(obj):\n    keys = (\n        \"final_time\",\n        \"flow_time\",\n        \"physical_time\",\n        \"current_physical_time\",\n        \"current_time\",\n        \"actual_time\",\n        \"simulation_time\"\n    )\n    if isinstance(obj, dict):\n        for key in keys:\n            value = obj.get(key)\n            if isinstance(value, (int, float)):\n                return float(value)\n        for value in obj.values():\n            result = find_time(value)\n            if result is not None:\n                return result\n    elif isinstance(obj, (list, tuple)):\n        for value in obj:\n            result = find_time(value)\n            if result is not None:\n                return result\n    return None\n\ndef find_gifs(obj):\n    paths = []\n    if isinstance(obj, str):\n        if obj.lower().endswith(\".gif\"):\n            paths.append(obj)\n    elif isinstance(obj, dict):\n        for value in obj.values():\n            paths.extend(find_gifs(value))\n    elif isinstance(obj, (list, tuple)):\n        for value in obj:\n            paths.extend(find_gifs(value))\n    return paths\n\ndef main():\n    print(\"=== 二维圆形物体运动动画 ===\")\n    print(\"任务目录:\", task_directory)\n    print(\"独立算例:\", case_directory)\n    print(\"目标物理时间:\", target_time)\n    print(\"保留原算例，不重复执行失败的颗粒追踪。\")\n\n    # 1. 备份当前求解器状态。\n    try:\n        active = solver.is_active()\n        print(\"当前求解器 active:\", active)\n        if not active:\n            print(\"求解器不活跃，停止操作。\")\n            return\n\n        backup = solver.settings.file.write_case_data(\n            file_name=backup_path\n        )\n        show_result(\"原算例 Case/Data 备份\", backup)\n        if needs_review(backup):\n            print(\"备份返回异常，停止替换模型。\")\n            return\n    except Exception as exc:\n        print(\"备份失败，未继续替换模型:\", repr(exc))\n        return\n\n    # 2. 创建独立的二维动态网格算例。\n    try:\n        setup = fluentagi.prepare_moving_circle(\n            directory=case_directory,\n            include_target=True,\n            body_diameter=0.06,\n            target_diameter=0.04,\n            speed=0.1,\n            ramp_time=0.4,\n            end_time=target_time,\n            time_step=0.005,\n            size=0.012,\n            replace_loaded_model=True\n        )\n        show_result(\"动态网格与运动配置\", setup)\n        results.append(setup)\n    except Exception as exc:\n        print(\"动态网格配置异常，不初始化:\", repr(exc))\n        return\n\n    if needs_review(setup):\n        print(\"配置状态需要复核，停止。\")\n        return\n\n    # 3. 检查网格，再对新算例初始化一次。\n    try:\n        mesh_check = solver.settings.mesh.check()\n        show_result(\"网格检查\", mesh_check)\n        if needs_review(mesh_check):\n            print(\"网格检查返回异常，停止初始化。\")\n            return\n    except Exception as exc:\n        print(\"网格检查失败，停止初始化:\", repr(exc))\n        return\n\n    try:\n        init_result = fluentagi.initialize_moving_body(\n            directory=case_directory\n        )\n        show_result(\"新算例初始化\", init_result)\n        results.append(init_result)\n    except Exception as exc:\n        print(\"初始化异常，不自动重试:\", repr(exc))\n        return\n\n    if needs_review(init_result):\n        print(\"初始化状态需要复核，停止推进。\")\n        return\n\n    # 4. 读取实际初始时间。\n    try:\n        state = fluentagi.read_moving_body(\n            directory=case_directory\n        )\n        show_result(\"初始原生状态\", state)\n        results.append(state)\n    except Exception as exc:\n        print(\"初始状态读取失败:\", repr(exc))\n        return\n\n    if needs_review(state):\n        print(\"初始状态需要复核，停止推进。\")\n        return\n\n    current_time = find_time(state)\n    if current_time is None:\n        print(\"未读取到真实物理时间，停止推进。\")\n        return\n\n    print(\"初始真实物理时间:\", current_time)\n\n    # 5. 每批最多推进 50 步；每批后回读实际时间。\n    for chunk in range(max_chunks):\n        if current_time >= target_time - 1e-10:\n            print(\"已达到目标物理时间。\")\n            break\n\n        print(\n            \"\\n推进批次:\", chunk + 1,\n            \"当前时间:\", current_time,\n            \"目标时间:\", target_time\n        )\n\n        try:\n            advance = fluentagi.advance_moving_body(\n                directory=case_directory,\n                steps=50,\n                until_time=target_time,\n                max_iter_per_step=100\n            )\n            show_result(\"动态网格推进结果\", advance)\n            results.append(advance)\n        except Exception as exc:\n            print(\"推进异常，停止，不盲目重放:\", repr(exc))\n            break\n\n        if needs_review(advance):\n            print(\"推进结果要求复核，停止后续计算。\")\n            break\n\n        try:\n            state = fluentagi.read_moving_body(\n                directory=case_directory\n            )\n            show_result(\"推进后原生状态\", state)\n            results.append(state)\n        except Exception as exc:\n            print(\"状态回读失败，停止推进:\", repr(exc))\n            break\n\n        if needs_review(state):\n            print(\"原生状态要求复核，停止后续计算。\")\n            break\n\n        next_time = find_time(state)\n        if next_time is None:\n            print(\"未取得推进后的实际物理时间，停止。\")\n            break\n\n        if next_time <= current_time + 1e-12:\n            print(\"物理时间未证实前进，停止以防重复计算。\")\n            break\n\n        current_time = next_time\n        print(\"已核实物理时间:\", current_time)\n\n    # 6. 读取最终原生状态及实际返回的 GIF 路径。\n    try:\n        final_state = fluentagi.read_moving_body(\n            directory=case_directory\n        )\n        show_result(\"最终原生状态\", final_state)\n        results.append(final_state)\n    except Exception as exc:\n        print(\"最终状态读取失败:\", repr(exc))\n        return\n\n    gif_paths = list(dict.fromkeys(find_gifs(results)))\n    final_time = find_time(final_state)\n\n    print(\"\\n=== 最终核验 ===\")\n    print(\"目标物理时间:\", target_time)\n    print(\"最终实际物理时间:\", final_time)\n    print(\"GIF 路径:\", gif_paths)\n    print(\"算例目录:\", case_directory)\n    print(\"运动类型: 预设速度的圆形物体平移\")\n    print(\"压力输出: 以运动壁面上的指定弧段为测量区域\")\n    print(\"物理精度和网格无关性尚需独立验证。\")\n\n    if not gif_paths:\n        print(\"当前返回结果未包含可确认的 GIF 路径。\")\n    if final_time is None or final_time < target_time - 1e-8:\n        print(\"尚未证实达到目标物理时间。\")\n\nmain()"}}, "result": "{\"status\": \"ok\", \"stdout\": \"=== 二维圆形物体运动动画 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\n独立算例: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\moving-circle-animation-demo\\n目标物理时间: 2.2\\n保留原算例，不重复执行失败的颗粒追踪。\\n当前求解器 active: True\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\before-moving-circle-demo.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n        2503 cells,     1 zone  ...\\n        5548 faces,     4 zones ...\\n         711 nodes,     1 zone  ...\\n  Done.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\before-moving-circle-demo.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\n    Writing particle data.\\nDone.\\n\\n--- 原算例 Case/Data 备份 ---\\nNone\\n动态网格配置异常，不初始化: ValueError('This adapter requires a 2D solver, not 3D or 6DOF')\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}, {"action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\n# Continue with the complete executable script here.\n\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261020-131312-807b38\"\ncase_directory = task_directory + r\"\\water-air-filling-demo\"\nbackup_path = task_directory + r\"\\before-water-air-filling-demo.cas.h5\"\n\nlength = 0.05\nwidth = 0.02\nheight = 0.02\nmesh_size = 0.004\nvelocity = 0.05\ntime_step = 0.001\nframes = 30\nsteps_per_frame = 10\nmax_iter_per_step = 20\n\nresults = []\n\ndef show(label, value):\n    print(\"\\n--- \" + label + \" ---\")\n    print(repr(value))\n\ndef has_failure(obj):\n    if isinstance(obj, dict):\n        if obj.get(\"needs_review\") is True:\n            return True\n        if obj.get(\"all_steps_converged\") is False:\n            return True\n        for key in (\"status\", \"run_status\"):\n            if str(obj.get(key, \"\")).lower() in (\n                \"failed\", \"error\", \"aborted\", \"needs_review\"\n            ):\n                return True\n        if obj.get(\"errors\"):\n            return True\n        for value in obj.values():\n            if has_failure(value):\n                return True\n    elif isinstance(obj, (list, tuple)):\n        for value in obj:\n            if has_failure(value):\n                return True\n    return False\n\ndef find_value(obj, wanted_key):\n    if isinstance(obj, dict):\n        if wanted_key in obj and isinstance(obj[wanted_key], str):\n            return obj[wanted_key]\n        for value in obj.values():\n            found = find_value(value, wanted_key)\n            if found:\n                return found\n    elif isinstance(obj, (list, tuple)):\n        for value in obj:\n            found = find_value(value, wanted_key)\n            if found:\n                return found\n    return None\n\ndef find_gifs(obj):\n    paths = []\n    if isinstance(obj, str):\n        if obj.lower().endswith(\".gif\"):\n            paths.append(obj)\n    elif isinstance(obj, dict):\n        for value in obj.values():\n            paths.extend(find_gifs(value))\n    elif isinstance(obj, (list, tuple)):\n        for value in obj:\n            paths.extend(find_gifs(value))\n    return paths\n\ndef water_is_phase2(obj):\n    if isinstance(obj, dict):\n        identity = \" \".join(\n            str(obj.get(key, \"\"))\n            for key in (\"phase\", \"name\", \"tag\", \"phase_name\")\n        ).lower().replace(\"_\", \"-\")\n        material = \" \".join(\n            str(obj.get(key, \"\"))\n            for key in (\"material\", \"material_name\", \"assigned_material\")\n        ).lower()\n\n        if \"phase-2\" in identity and \"water-liquid\" in material:\n            return True\n\n        for key, value in obj.items():\n            normalized_key = str(key).lower().replace(\"_\", \"-\")\n            if (\n                \"phase-2\" in normalized_key\n                and \"water-liquid\" in str(value).lower()\n            ):\n                return True\n            if water_is_phase2(value):\n                return True\n\n    elif isinstance(obj, (list, tuple)):\n        for value in obj:\n            if water_is_phase2(value):\n                return True\n\n    return False\n\ndef main():\n    print(\"=== 三维水箱充水 VOF 动画 ===\")\n    print(\"任务目录:\", task_directory)\n    print(\"独立算例目录:\", case_directory)\n    print(\"现有求解器维度: 3D\")\n    print(\"原有结果保留；不重试二维运动适配器。\")\n\n    # 1. 检查连接并备份当前 Case/Data。\n    try:\n        if not solver.is_active():\n            print(\"当前求解器不活跃，停止操作。\")\n            return\n\n        backup = solver.settings.file.write_case_data(\n            file_name=backup_path\n        )\n        show(\"当前 Case/Data 备份\", backup)\n        print(\"备份目标:\", backup_path)\n\n    except Exception as exc:\n        print(\"备份失败，停止操作:\", repr(exc))\n        return\n\n    # 2. 为独立算例生成真实三维四面体网格。\n    try:\n        mesh_result = fluentagi.build_volume(\n            directory=case_directory,\n            shape=\"box\",\n            length=length,\n            width=width,\n            height=height,\n            size=mesh_size,\n            mesh_type=\"tet\"\n        )\n        show(\"三维网格生成结果\", mesh_result)\n        results.append(mesh_result)\n\n    except Exception as exc:\n        print(\"网格生成失败:\", repr(exc))\n        return\n\n    if has_failure(mesh_result):\n        print(\"网格生成结果需要复核，停止。\")\n        return\n\n    mesh_file = find_value(mesh_result, \"mesh_file\")\n    if not mesh_file:\n        print(\"未取得明确的 Fluent 网格文件路径，停止。\")\n        return\n\n    # 3. 读取新网格并执行网格检查。\n    try:\n        read_result = solver.settings.file.read_mesh(\n            file_name=mesh_file\n        )\n        show(\"读取 Fluent 网格\", read_result)\n\n        check_result = solver.settings.mesh.check()\n        show(\"网格检查\", check_result)\n        results.extend([read_result, check_result])\n\n    except Exception as exc:\n        print(\"读取或检查网格失败:\", repr(exc))\n        return\n\n    if has_failure(check_result):\n        print(\"网格检查异常，停止配置物理模型。\")\n        return\n\n    # 4. 配置水-空气两相 VOF。\n    try:\n        physics = fluentagi.configure_water_air(\n            directory=case_directory,\n            velocity=velocity,\n            time_step=time_step,\n            gravity_y=-9.81,\n            inlet=\"inlet\",\n            outlet=\"outlet\"\n        )\n        show(\"水-空气 VOF 配置\", physics)\n        results.append(physics)\n\n    except Exception as exc:\n        print(\"VOF 配置失败:\", repr(exc))\n        return\n\n    if has_failure(physics):\n        print(\"VOF 配置需要复核，停止。\")\n        return\n\n    # 5. 必须确认 phase-2 确实是 water-liquid。\n    try:\n        phase_state = fluentagi.inspect_phases()\n        show(\"实际气液相映射\", phase_state)\n        results.append(phase_state)\n\n    except Exception as exc:\n        print(\"无法核实气液相映射，停止初始化:\", repr(exc))\n        return\n\n    if not water_is_phase2(phase_state):\n        print(\"未能确认 phase-2=water-liquid。\")\n        print(\"为避免显示错误的体积分数，不执行初始化或动画。\")\n        return\n\n    # 6. 仅初始化这个新建算例，不初始化原有结果。\n    try:\n        init_result = fluentagi.initialize_air(\n            directory=case_directory\n        )\n        show(\"新算例初始化\", init_result)\n        results.append(init_result)\n\n    except Exception as exc:\n        print(\"初始化失败，不自动重复:\", repr(exc))\n        return\n\n    if has_failure(init_result):\n        print(\"初始化状态需要复核，停止推进。\")\n        return\n\n    # 7. 创建内部 Z 中截面，用水相体积分数展示充水过程。\n    try:\n        section = fluentagi.create_section(\n            axis=\"z\",\n            position=height / 2.0\n        )\n        show(\"内部截面\", section)\n\n    except Exception as exc:\n        print(\"创建内部截面失败，停止动画:\", repr(exc))\n        return\n\n    if not isinstance(section, dict) or not section.get(\"surface\"):\n        print(\"未取得有效的截面名称，停止动画。\")\n        return\n\n    # 8. 动画会真实推进瞬态求解；每次返回后检查状态。\n    try:\n        animation = fluentagi.record_animation(\n            directory=case_directory,\n            field=\"phase-2-vof\",\n            frames=frames,\n            steps_per_frame=steps_per_frame,\n            max_iter_per_step=max_iter_per_step,\n            surfaces=[section[\"surface\"]]\n        )\n        show(\"水相体积分数动画\", animation)\n        results.append(animation)\n\n    except Exception as exc:\n        print(\"动画推进或导出异常，不盲目重试:\", repr(exc))\n        return\n\n    # 9. 导出截面压力和速度结果，不额外推进计算。\n    try:\n        export_result = fluentagi.export_results(\n            directory=case_directory,\n            fields=[\"pressure\", \"velocity-magnitude\"],\n            surfaces=[section[\"surface\"]]\n        )\n        show(\"截面结果导出\", export_result)\n        results.append(export_result)\n\n    except Exception as exc:\n        print(\"截面结果导出失败:\", repr(exc))\n\n    # 10. 汇总实际返回的文件与状态。\n    gif_paths = list(dict.fromkeys(find_gifs(results)))\n\n    print(\"\\n=== 最终核验 ===\")\n    print(\"算例目录:\", case_directory)\n    print(\"动画帧数:\", frames)\n    print(\"每帧间隔推进步数:\", steps_per_frame)\n    print(\"时间步长:\", time_step)\n    print(\n        \"计划动画物理时长:\",\n        (frames - 1) * steps_per_frame * time_step,\n        \"s\"\n    )\n    print(\"实际返回的 GIF 路径:\", gif_paths)\n    print(\"动画返回状态需要复核:\", has_failure(animation))\n\n    if not gif_paths:\n        print(\"尚未取得可确认的 GIF 文件路径。\")\n\n    if has_failure(animation):\n        print(\"动画结果需要检查残差、质量守恒及原生求解状态。\")\n\n    print(\"截面动画仅代表 Z 中截面，不是完整三维体渲染。\")\n    print(\"当前模拟时长有限，不宣称水箱已完全充满。\")\n\nmain()"}}, "result": "{\"status\": \"ok\", \"stdout\": \"=== 三维水箱充水 VOF 动画 ===\\n任务目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\n独立算例目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\water-air-filling-demo\\n现有求解器维度: 3D\\n原有结果保留；不重试二维运动适配器。\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\before-water-air-filling-demo.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n        2503 cells,     1 zone  ...\\n        5548 faces,     4 zones ...\\n         711 no\n…中间日志已省略，完整日志保存在任务目录…\n1  7.8659e-05  5.0498e-05  6.1620e-05  0:00:00    8\\n\\n Reversed flow on 43 faces of pressure-outlet 5.\\n  5793  2.5591e-01  7.2415e-05  4.6790e-05  5.6793e-05  0:00:00    7\\n\\n Reversed flow on 43 faces of pressure-outlet 5.\\n  5794  2.4512e-01  6.6963e-05  4.5256e-05  5.2401e-05  0:00:00    6\\n\\n Reversed flow on 43 faces of pressure-outlet 5.\\n  5795  2.3615e-01  6.2535e-05  4.3878e-05  4.9001e-05  0:00:00    5\\n\\n Reversed flow on 43 faces of pressure-outlet 5.\\n  5796  2.2795e-01  5.9055e-05  4.2471e-05  4.6253e-05  0:00:00    4\\n\\n Reversed flow on 43 faces of pressure-outlet 5.\\n  5797  2.1993e-01  5.6259e-05  4.1074e-05  4.4174e-05  0:00:00    3\\n\\n Reversed flow on 43 faces of pressure-outlet 5.\\n  5798  2.1240e-01  5.3940e-05  3.9648e-05  4.2424e-05  0:00:00    2\\n\\n Reversed flow on 43 faces of pressure-outlet 5.\\n  5799  2.0499e-01  5.1757e-05  3.8037e-05  4.0971e-05  0:00:00    1\\n\\n Reversed flow on 43 faces of pressure-outlet 5.\\n  5800  1.9775e-01  4.9782e-05  3.6357e-05  3.9795e-05  0:00:00    0\\nFlow time = 0.2900000000000001s, time step = 290\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\water-air-filling-demo\\\\animation-bcfd960c\\\\after-animation.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n        1844 cells,     1 zone  ...\\n        4098 faces,     4 zones ...\\n         525 nodes,     1 zone  ...\\n  Done.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\water-air-filling-demo\\\\animation-bcfd960c\\\\after-animation.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\nDone.\\n\\n--- 水相体积分数动画 ---\\n{'status': 'ok', 'field': 'phase-2-vof', 'frames': 30, 'advanced_time_steps': 290, 'directory': 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-131312-807b38\\\\\\\\water-air-filling-demo\\\\\\\\animation-bcfd960c', 'convergence_verified': False}\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\water-air-filling-demo\\\\post-132855-7329\\\\result.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n        1844 cells,     1 zone  ...\\n        4098 faces,     4 zones ...\\n         525 nodes,     1 zone  ...\\n  Done.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\water-air-filling-demo\\\\post-132855-7329\\\\result.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n  Writing results.\\nDone.\\n\\n--- 截面结果导出 ---\\n{'status': 'ok', 'directory': 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261020-131312-807b38\\\\\\\\water-air-filling-demo\\\\\\\\post-132855-7329', 'created': '2026-10-20T13:28:55.810709', 'files': ['mesh.png', 'pressure.png', 'residual.csv', 'result.cas.h5', 'result.dat.h5', 'velocity-magnitude.png'], 'errors': [], 'convergence_verified': False}\\n\\n=== 最终核验 ===\\n算例目录: C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261020-131312-807b38\\\\water-air-filling-demo\\n动画帧数: 30\\n每帧间隔推进步数: 10\\n时间步长: 0.001\\n计划动画物理时长: 0.29 s\\n实际返回的 GIF 路径: []\\n动画返回状态需要复核: False\\n尚未取得可确认的 GIF 文件路径。\\n截面动画仅代表 Z 中截面，不是完整三维体渲染。\\n当前模拟时长有限，不宣称水箱已完全充满。\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}]
【ChatGPT 回复】
ChatGPT 说：

<final_answer>
本轮三维水箱充水动画已推进到实际物理时间 0.29 s，动画适配器返回 30 帧、推进 290 个时间步，说明瞬态计算确实执行了。

但目前还不能认定动画制作成功或计算可靠：

GIF 文件： 返回结果没有提供可确认的 GIF 文件路径，需要检查动画输出目录中的实际文件。

收敛性： convergence_verified=False，求解收敛尚未得到验证。

边界异常： 压力出口多次出现 43 个面上的逆流，需要检查出口位置、边界条件及流场。

可视化范围： 当前使用的是水箱内部 Z 中截面，不是完整三维水体渲染。

建议下一步： 保留当前 Case/Data 和动画帧，先检查动画输出目录、残差文件和出口逆流情况，不要重新初始化或重复推进已经完成的 290 个时间步。确认现有文件后，再修复导出或边界设置。

</final_answer>