用户需求： 创建长 0.2 m、高 0.02 m 的二维流道，通过 build_planar 生成 STEP 和尺寸 0.001 m 的三角形 Fluent 网格。空气层流，入口速度 0.1 m/s，出口表压 0 Pa，上下壁面无滑移。分批迭代检查收敛，保存 case/data。 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: ```python # Use the existing connected PyFluent variable solver. # Continue with the complete executable script here. ``` 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 . Use the existing solver session and compatible PyFluent APIs. Do not launch or close Fluent. Do not use Abaqus APIs. Use solver.settings APIs and the provided fluentagi adapters. Direct solver.tui, execute_tui and Scheme remain rejected; the trusted v242 adapters may internally use fixed official TUI commands/journals. For mesh display use solver.settings.results.graphics.mesh and graphics.views APIs. Do not return JSON tool plans. Do not invent mesh files or API names. Only operate on the requested case and task directory. Preserve existing results. For a repair, inspect partially applied state and write a complete corrected script, not a patch or a repeated broken script. The web AI cannot read or modify host application source. Do not claim to have searched the host disk or request uploading FluentAGI source to run simulations. Use the verified runtime adapters. Define task_directory as the absolute Task directory below before calling adapters. For VOF surface tension use fluentagi.configure_surface_tension(directory=task_directory,coefficient=0.072,phase_a="phase-1",phase_b="phase-2"); coefficient is N/m, replace the example with the requested value. This v242 adapter preserves other phase pairs, enables the surface-tension model and reads back every coefficient. inspect_surface_tension(directory=task_directory) returns verified state. Do not ask the user to edit the plugin or click GUI dialogs for this supported operation. For three-phase boiling setup in Fluent 2024 R2, use fluentagi.configure_three_phase_materials(directory=task_directory, materials=["air", "water-liquid", "water-vapor"]) to create actual phase-1/2/3 domains and verify material assignments. For an existing three-phase model, fluentagi.assign_multiphase_materials(materials=[...], directory=task_directory) assigns materials without changing the phase count. Then call fluentagi.configure_evaporation_condensation(directory=task_directory, saturation_temperature=T_sat_K, evaporation_frequency=from_frequency_per_second, condensation_frequency=to_frequency_per_second, from_phase="phase-2", to_phase="phase-3"). Pass the user's specified temperature/frequencies; preserve their geometry, heating and calculation parameters. This verified v242 VOF Lee adapter enables energy, uses a fixed official TUI journal and verifies the phase pair, constant saturation temperature, both frequencies and Lee model by an independent case snapshot. It does not initialize or advance the simulation. Do not say this feature is unavailable because direct TUI is forbidden; use the adapter. fluentagi.inspect_phase_change(directory=task_directory) returns actual phases and mass transfer settings, refreshing a unique case snapshot. Do not replace existing unrelated mechanisms. This adapter supports one Lee mass transfer pair, not Eulerian wall boiling, semi-mechanistic wall boiling, pressure-dependent saturation tables or UDFs. Do not claim a complete validated boiling simulation from successful setup alone. initialize_air is a TWO-PHASE adapter; do not use it for three-phase cases. Use verified settings initialization and phase-aware patching only for requested new calculations. The runtime provides fluentagi.assign_phase_materials(primary="air", secondary="water-liquid", directory=task_directory), fluentagi.inspect_phases(), and fluentagi.export_results(directory=task_directory, fields=["pressure", "velocity-magnitude"]). For requested animation of an already initialized transient solution use fluentagi.record_animation(directory=task_directory, field="velocity-magnitude", frames=10, steps_per_frame=1, max_iter_per_step=20); it advances the solution and creates PNG frames and GIF. Never initialize or advance an existing solution without the user requesting calculation. These are executable verified adapters, not prose instructions. Use the phase adapter when asked to assign materials; do not ask the user to click the phase dialog. Print returned results. For postprocessing use export_results and assess its errors; never claim missing images were saved. Only import math/json/itertools/functools/collections/dataclasses/typing; datetime/os/pathlib imports are unavailable. Check is_active() before querying model-dependent settings on an empty mesh. For NEW planar geometry and meshing use mesh = fluentagi.build_planar(directory=task_directory, points=[[x,y],...], inlet_edges=[0], outlet_edges=[2], size=0.001). Coordinates and size are in METERS; polygon vertices ordered around its boundary; edge i joins point i to point (i+1)%N. This creates real STEP CAD and converts first-order triangular Gmsh cells into a genuine Fluent mesh with inlet/outlet/walls. Then solver.settings.file.read_mesh(file_name=mesh["mesh_file"]), solver.settings.mesh.check(), configure physics, initialize, iterate, and export_results. Save current case/data before replacing loaded geometry. Do not reuse a model from previous successful construction during a repair; use its mesh_file from feedback. For curved planar CAD, use fluentagi.geometry_mesh(directory=task_directory,code=gmsh_script_string); the worker has gmsh,math,output_dir already, no imports; create OCC geometry and physical line groups named inlet,outlet,walls, export STEP, generate first-order triangular or quadrilateral mesh(2). Returned mesh_file is Fluent format; gmsh-native.msh is NOT Fluent format. 3D modeling and volume mesh conversion are now implemented. fluentagi.build_volume(directory=task_directory, shape="box",length=0.1,width=0.02,height=0.02,size=0.005,mesh_type="tet") creates tetrahedra; mesh_type="hex" creates a structured all-hexahedron box. shape="cylinder",radius=0.01 supports tetrahedra with axis along +X. Inlet is X=0 and outlet X=length. fluentagi.build_extruded(directory=task_directory,points=[[x,y],...],inlet_edges=[0],outlet_edges=[2],depth=0.01,size=0.002,mesh_type="tet") extrudes a planar profile, naming lateral inlet/outlet faces; front/back faces are walls. mesh_type="hex-dominant" uses recombined extruded mesh and MAY include prisms: assess returned cell_types, never call mixed cells pure hex. geometry_mesh supports arbitrary OCC volumes (boolean unions/cuts), physical SURFACE groups inlet/outlet/walls, and mesh.generate(3), first-order tet/hex/prism/pyramid. Imported STEP is not currently supported by the restricted worker. build_planar mesh_type="quad" produces mapped pure quadrilaterals for valid four-sided rectangles; complex polygons can be quad/tri mixed. 2D uses triangles/quads, 3D uses tet/hex. The runtime starts or safely backs up its owned solver before switching dimension according to explicit user words. Do not request user-supplied 3D mesh for supported geometry. Save backups before replacing any loaded mesh. For 3D postprocessing create useful cut planes/isosurfaces using verified settings APIs; boundary-only contours are not an interior volume visualization. For an entire new analysis, carry out all stages rather than only inspection; collect real residual/convergence evidence and exports. For water-air transient filling, call fluentagi.configure_water_air(directory=task_directory,velocity=0.05,time_step=0.001,gravity_y=-9.81,inlet="inlet",outlet="outlet"). This backs up and sets laminar VOF, materials, phase-aware inlet/outlet, gravity and timestep; does NOT initialize or erase existing solution. For requested NEW filling use fluentagi.initialize_air(directory=task_directory), which saves a backup, hybrid initializes and patches phase-2 volume fraction to zero across all fluid cell zones. Never initialize_air on existing results without an explicit restart request. Fluent v242 contour fields are phase-2-vof (water, only after confirming phase-2=water-liquid) and phase-1-vof (air); do not confuse them. Query real contour field.allowed_values for VOF fields. For 3D interior contours/animation use section=fluentagi.create_section(axis="z",position=depth/2), then export_results(...,surfaces=[section["surface"]]) or record_animation(...,surfaces=[section["surface"]]). A plane section is not full volumetric rendering; report it accurately. Frames are 2..60. Each frame after the first advances steps_per_frame real time steps; final time is initial time+(frames-1)*steps_per_frame*time_step. Do not claim the pipe fills if the simulated duration is too short. Normalize typos like "二维四面体" by explaining 2D triangular equivalent; if depth/3D was explicitly requested, use volume tools. End with Chinese explanation of the intended changes, without claiming execution success. If essential input or an incompatible session prevents a valid script, return only the specific missing input in Chinese. After the desktop returns execution results, either provide a corrected script or return only a Chinese assessment supported by those results. Do not execute the same successful script again. Successful execution alone does not prove convergence. Runtime capabilities: {"protocol": "FluentAGI-capabilities-v1", "session": {"connected": true, "mode": "launch"}, "geometry": {"worker": "gmsh isolated process", "imports": [], "builtins": ["range", "len", "int", "float", "str", "list", "tuple", "enumerate", "zip", "min", "max", "abs", "round", "RuntimeError", "ValueError", "print", "set", "sum", "sorted", "bool", "all", "any"], "physical_groups": ["inlet", "outlet", "walls"], "cell_types": ["triangle", "quadrilateral", "tetrahedron", "hexahedron", "prism", "pyramid"]}, "script": {"imports": ["math", "json", "itertools", "functools", "collections", "dataclasses", "typing"], "adapters": ["build_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", "configure_evaporation_condensation", "inspect_phase_change", "configure_surface_tension", "inspect_surface_tension"]}, "generated_at": 1792204684.7172294, "phase_change": {"version": "v242", "model": "VOF Lee", "phases": [2, 3], "saturation": "constant K", "frequencies": "positive finite 1/s", "mass_transfer_pairs": 1, "internal_official_tui": true, "generated_direct_tui": false, "readback": "unique case snapshot", "initializes": false}, "surface_tension": {"version": "v242", "model": "VOF", "coefficient": "nonnegative finite N/m", "preserves_other_pairs": true, "readback": "unique case snapshot", "initializes": false}, "fluent_version": "Ansys Fluent 2024 R2", "model_active": false} Current session: {"connected": true, "dimension": 2, "mode": "solver", "owned": true} Task directory: C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261017-103656-ef1aaf Current request: 创建长 0.2 m、高 0.02 m 的二维流道，通过 build_planar 生成 STEP 和尺寸 0.001 m 的三角形 Fluent 网格。空气层流，入口速度 0.1 m/s，出口表压 0 Pa，上下壁面无滑移。分批迭代检查收敛，保存 case/data。 【ChatGPT 回复】 ChatGPT 说： 建模方案：创建 0.2   m × 0.02   m 0.2m×0.02m 的二维矩形流道，采用 build_planar 生成 STEP 几何和目标尺寸为 1 mm 的三角形 Fluent 网格。随后设置空气、层流模型、入口速度 0.1 m/s、出口表压 0 Pa 和上下壁面无滑移；分批迭代并检查残差与质量守恒，最后保存 Case/Data。若收敛条件未满足，将如实记录，不把完成迭代等同于收敛。 ```python # Use the existing connected PyFluent variable solver. # Continue with the complete executable script here. import math import json task_directory = r"C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261017-103656-ef1aaf" # 1. 检查已有连接，不启动或关闭 Fluent if not fluentagi.is_active(): raise RuntimeError("Fluent 当前没有可用的活动模型，停止后续操作。") # 2. 构建二维矩形流道 # 顶点按逆时针顺序排列： # 0=(0,0), 1=(0.2,0), 2=(0.2,0.02), 3=(0,0.02) # 边0=下壁面，边1=出口，边2=上壁面，边3=入口 mesh_info = fluentagi.build_planar( directory=task_directory, points=[ [0.0, 0.0], [0.2, 0.0], [0.2, 0.02], [0.0, 0.02] ], inlet_edges=[3], outlet_edges=[1], size=0.001 ) print("几何与网格生成结果：") print(json.dumps(mesh_info, ensure_ascii=False, default=str)) if not isinstance(mesh_info, dict) or not mesh_info.get("mesh_file"): raise RuntimeError("未取得有效的 Fluent 网格文件，停止求解。") # 3. 导入真实 Fluent 网格并检查 solver.settings.file.read_mesh(file_name=mesh_info["mesh_file"]) solver.settings.mesh.check() print("Fluent 网格导入与检查完成。") # 4. 配置空气层流模型 solver.settings.setup.models.viscous.model = "laminar" # 确认网格边界名称，避免静默设置错误 boundary_conditions = solver.settings.setup.boundary_conditions velocity_inlets = boundary_conditions.velocity_inlet pressure_outlets = boundary_conditions.pressure_outlet walls = boundary_conditions.wall inlet_names = list(velocity_inlets.keys()) outlet_names = list(pressure_outlets.keys()) wall_names = list(walls.keys()) print("入口边界：", inlet_names) print("出口边界：", outlet_names) print("壁面边界：", wall_names) if "inlet" not in inlet_names: raise RuntimeError("网格中未找到 inlet，不能安全设置入口条件。") if "outlet" not in outlet_names: raise RuntimeError("网格中未找到 outlet，不能安全设置出口条件。") # 5. 设置入口速度与出口表压 velocity_inlets["inlet"].momentum.velocity.value = 0.1 pressure_outlets["outlet"].momentum.gauge_pressure.value = 0.0 # 确认上下壁面均存在并保持默认无滑移条件 if len(wall_names) < 2: raise RuntimeError("未识别到上下两个壁面，请检查网格物理分组。") for wall_name in wall_names: walls[wall_name].momentum.wall_motion = "stationary" walls[wall_name].momentum.velocity.value = 0.0 # 6. 初始化新建模型 solver.settings.solution.initialization.hybrid_initialize() # 7. 分批迭代并记录每批实际运行情况 # 采用较小批次，避免一次性长时间计算 batch_sizes = [100, 100, 100, 100, 100] batch_results = [] for batch_index, iteration_count in enumerate(batch_sizes, start=1): solver.settings.solution.run_calculation.iterate( iter_count=iteration_count ) batch_results.append({ "batch": batch_index, "iterations_requested": iteration_count }) print("迭代批次结果：") print(json.dumps(batch_results[-1], ensure_ascii=False)) # 每批保存 Case/Data，保留当前计算进度 solver.settings.file.write_case_data( file_name=task_directory + r"\channel_latest.cas.h5" ) # 8. 最终保存 solver.settings.file.write_case_data( file_name=task_directory + r"\channel_final.cas.h5" ) print("批次执行记录：") print(json.dumps(batch_results, ensure_ascii=False, indent=2)) print("已执行保存命令；请结合实际残差和质量守恒检查判断收敛性。") ``` 该脚本旨在建立二维矩形空气流道，生成 1 mm 目标尺寸的三角形网格，配置层流入口、出口和无滑移壁面，并分批计算及保存 Case/Data。 注意：当前仅提供脚本，不能据此认定已执行成功。还需核对 Fluent 实际边界名称、网格检查结果、材料赋值、残差曲线和入口出口质量流量差；如果边界条件 API 或保存路径不兼容，应依据执行反馈修正。500 次迭代只是计划次数，不代表计算已经收敛。 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: ```python # Use the existing connected PyFluent variable solver. # Continue with the complete executable script here. ``` 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 . Use the existing solver session and compatible PyFluent APIs. Do not launch or close Fluent. Do not use Abaqus APIs. Use solver.settings APIs and the provided fluentagi adapters. Direct solver.tui, execute_tui and Scheme remain rejected; the trusted v242 adapters may internally use fixed official TUI commands/journals. For mesh display use solver.settings.results.graphics.mesh and graphics.views APIs. Do not return JSON tool plans. Do not invent mesh files or API names. Only operate on the requested case and task directory. Preserve existing results. For a repair, inspect partially applied state and write a complete corrected script, not a patch or a repeated broken script. The web AI cannot read or modify host application source. Do not claim to have searched the host disk or request uploading FluentAGI source to run simulations. Use the verified runtime adapters. Define task_directory as the absolute Task directory below before calling adapters. For VOF surface tension use fluentagi.configure_surface_tension(directory=task_directory,coefficient=0.072,phase_a="phase-1",phase_b="phase-2"); coefficient is N/m, replace the example with the requested value. This v242 adapter preserves other phase pairs, enables the surface-tension model and reads back every coefficient. inspect_surface_tension(directory=task_directory) returns verified state. Do not ask the user to edit the plugin or click GUI dialogs for this supported operation. For three-phase boiling setup in Fluent 2024 R2, use fluentagi.configure_three_phase_materials(directory=task_directory, materials=["air", "water-liquid", "water-vapor"]) to create actual phase-1/2/3 domains and verify material assignments. For an existing three-phase model, fluentagi.assign_multiphase_materials(materials=[...], directory=task_directory) assigns materials without changing the phase count. Then call fluentagi.configure_evaporation_condensation(directory=task_directory, saturation_temperature=T_sat_K, evaporation_frequency=from_frequency_per_second, condensation_frequency=to_frequency_per_second, from_phase="phase-2", to_phase="phase-3"). Pass the user's specified temperature/frequencies; preserve their geometry, heating and calculation parameters. This verified v242 VOF Lee adapter enables energy, uses a fixed official TUI journal and verifies the phase pair, constant saturation temperature, both frequencies and Lee model by an independent case snapshot. It does not initialize or advance the simulation. Do not say this feature is unavailable because direct TUI is forbidden; use the adapter. fluentagi.inspect_phase_change(directory=task_directory) returns actual phases and mass transfer settings, refreshing a unique case snapshot. Do not replace existing unrelated mechanisms. This adapter supports one Lee mass transfer pair, not Eulerian wall boiling, semi-mechanistic wall boiling, pressure-dependent saturation tables or UDFs. Do not claim a complete validated boiling simulation from successful setup alone. initialize_air is a TWO-PHASE adapter; do not use it for three-phase cases. Use verified settings initialization and phase-aware patching only for requested new calculations. The runtime provides fluentagi.assign_phase_materials(primary="air", secondary="water-liquid", directory=task_directory), fluentagi.inspect_phases(), and fluentagi.export_results(directory=task_directory, fields=["pressure", "velocity-magnitude"]). For requested animation of an already initialized transient solution use fluentagi.record_animation(directory=task_directory, field="velocity-magnitude", frames=10, steps_per_frame=1, max_iter_per_step=20); it advances the solution and creates PNG frames and GIF. Never initialize or advance an existing solution without the user requesting calculation. These are executable verified adapters, not prose instructions. Use the phase adapter when asked to assign materials; do not ask the user to click the phase dialog. Print returned results. For postprocessing use export_results and assess its errors; never claim missing images were saved. Only import math/json/itertools/functools/collections/dataclasses/typing; datetime/os/pathlib imports are unavailable. Check is_active() before querying model-dependent settings on an empty mesh. For NEW planar geometry and meshing use mesh = fluentagi.build_planar(directory=task_directory, points=[[x,y],...], inlet_edges=[0], outlet_edges=[2], size=0.001). Coordinates and size are in METERS; polygon vertices ordered around its boundary; edge i joins point i to point (i+1)%N. This creates real STEP CAD and converts first-order triangular Gmsh cells into a genuine Fluent mesh with inlet/outlet/walls. Then solver.settings.file.read_mesh(file_name=mesh["mesh_file"]), solver.settings.mesh.check(), configure physics, initialize, iterate, and export_results. Save current case/data before replacing loaded geometry. Do not reuse a model from previous successful construction during a repair; use its mesh_file from feedback. For curved planar CAD, use fluentagi.geometry_mesh(directory=task_directory,code=gmsh_script_string); the worker has gmsh,math,output_dir already, no imports; create OCC geometry and physical line groups named inlet,outlet,walls, export STEP, generate first-order triangular or quadrilateral mesh(2). Returned mesh_file is Fluent format; gmsh-native.msh is NOT Fluent format. 3D modeling and volume mesh conversion are now implemented. fluentagi.build_volume(directory=task_directory, shape="box",length=0.1,width=0.02,height=0.02,size=0.005,mesh_type="tet") creates tetrahedra; mesh_type="hex" creates a structured all-hexahedron box. shape="cylinder",radius=0.01 supports tetrahedra with axis along +X. Inlet is X=0 and outlet X=length. fluentagi.build_extruded(directory=task_directory,points=[[x,y],...],inlet_edges=[0],outlet_edges=[2],depth=0.01,size=0.002,mesh_type="tet") extrudes a planar profile, naming lateral inlet/outlet faces; front/back faces are walls. mesh_type="hex-dominant" uses recombined extruded mesh and MAY include prisms: assess returned cell_types, never call mixed cells pure hex. geometry_mesh supports arbitrary OCC volumes (boolean unions/cuts), physical SURFACE groups inlet/outlet/walls, and mesh.generate(3), first-order tet/hex/prism/pyramid. Imported STEP is not currently supported by the restricted worker. build_planar mesh_type="quad" produces mapped pure quadrilaterals for valid four-sided rectangles; complex polygons can be quad/tri mixed. 2D uses triangles/quads, 3D uses tet/hex. The runtime starts or safely backs up its owned solver before switching dimension according to explicit user words. Do not request user-supplied 3D mesh for supported geometry. Save backups before replacing any loaded mesh. For 3D postprocessing create useful cut planes/isosurfaces using verified settings APIs; boundary-only contours are not an interior volume visualization. For an entire new analysis, carry out all stages rather than only inspection; collect real residual/convergence evidence and exports. For water-air transient filling, call fluentagi.configure_water_air(directory=task_directory,velocity=0.05,time_step=0.001,gravity_y=-9.81,inlet="inlet",outlet="outlet"). This backs up and sets laminar VOF, materials, phase-aware inlet/outlet, gravity and timestep; does NOT initialize or erase existing solution. For requested NEW filling use fluentagi.initialize_air(directory=task_directory), which saves a backup, hybrid initializes and patches phase-2 volume fraction to zero across all fluid cell zones. Never initialize_air on existing results without an explicit restart request. Fluent v242 contour fields are phase-2-vof (water, only after confirming phase-2=water-liquid) and phase-1-vof (air); do not confuse them. Query real contour field.allowed_values for VOF fields. For 3D interior contours/animation use section=fluentagi.create_section(axis="z",position=depth/2), then export_results(...,surfaces=[section["surface"]]) or record_animation(...,surfaces=[section["surface"]]). A plane section is not full volumetric rendering; report it accurately. Frames are 2..60. Each frame after the first advances steps_per_frame real time steps; final time is initial time+(frames-1)*steps_per_frame*time_step. Do not claim the pipe fills if the simulated duration is too short. Normalize typos like "二维四面体" by explaining 2D triangular equivalent; if depth/3D was explicitly requested, use volume tools. End with Chinese explanation of the intended changes, without claiming execution success. If essential input or an incompatible session prevents a valid script, return only the specific missing input in Chinese. After the desktop returns execution results, either provide a corrected script or return only a Chinese assessment supported by those results. Do not execute the same successful script again. Successful execution alone does not prove convergence. Runtime capabilities: {"protocol": "FluentAGI-capabilities-v1", "session": {"connected": true, "mode": "launch"}, "geometry": {"worker": "gmsh isolated process", "imports": [], "builtins": ["range", "len", "int", "float", "str", "list", "tuple", "enumerate", "zip", "min", "max", "abs", "round", "RuntimeError", "ValueError", "print", "set", "sum", "sorted", "bool", "all", "any"], "physical_groups": ["inlet", "outlet", "walls"], "cell_types": ["triangle", "quadrilateral", "tetrahedron", "hexahedron", "prism", "pyramid"]}, "script": {"imports": ["math", "json", "itertools", "functools", "collections", "dataclasses", "typing"], "adapters": ["build_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", "configure_evaporation_condensation", "inspect_phase_change", "configure_surface_tension", "inspect_surface_tension"]}, "generated_at": 1792204684.7172294, "phase_change": {"version": "v242", "model": "VOF Lee", "phases": [2, 3], "saturation": "constant K", "frequencies": "positive finite 1/s", "mass_transfer_pairs": 1, "internal_official_tui": true, "generated_direct_tui": false, "readback": "unique case snapshot", "initializes": false}, "surface_tension": {"version": "v242", "model": "VOF", "coefficient": "nonnegative finite N/m", "preserves_other_pairs": true, "readback": "unique case snapshot", "initializes": false}, "fluent_version": "Ansys Fluent 2024 R2", "model_active": false} Current session: {"connected": true, "dimension": 2, "mode": "solver", "owned": true} Task directory: C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261017-103656-ef1aaf Current request: 创建长 0.2 m、高 0.02 m 的二维流道，通过 build_planar 生成 STEP 和尺寸 0.001 m 的三角形 Fluent 网格。空气层流，入口速度 0.1 m/s，出口表压 0 Pa，上下壁面无滑移。分批迭代检查收敛，保存 case/data。 Desktop execution feedback: [{"failed_action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\n# Continue with the complete executable script here.\n\nimport math\nimport json\n\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261017-103656-ef1aaf\"\n\n# 1. 检查已有连接，不启动或关闭 Fluent\nif not fluentagi.is_active():\n raise RuntimeError(\"Fluent 当前没有可用的活动模型，停止后续操作。\")\n\n# 2. 构建二维矩形流道\n# 顶点按逆时针顺序排列：\n# 0=(0,0), 1=(0.2,0), 2=(0.2,0.02), 3=(0,0.02)\n# 边0=下壁面，边1=出口，边2=上壁面，边3=入口\nmesh_info = fluentagi.build_planar(\n directory=task_directory,\n points=[\n [0.0, 0.0],\n [0.2, 0.0],\n [0.2, 0.02],\n [0.0, 0.02]\n ],\n inlet_edges=[3],\n outlet_edges=[1],\n size=0.001\n)\nprint(\"几何与网格生成结果：\")\nprint(json.dumps(mesh_info, ensure_ascii=False, default=str))\n\nif not isinstance(mesh_info, dict) or not mesh_info.get(\"mesh_file\"):\n raise RuntimeError(\"未取得有效的 Fluent 网格文件，停止求解。\")\n\n# 3. 导入真实 Fluent 网格并检查\nsolver.settings.file.read_mesh(file_name=mesh_info[\"mesh_file\"])\nsolver.settings.mesh.check()\nprint(\"Fluent 网格导入与检查完成。\")\n\n# 4. 配置空气层流模型\nsolver.settings.setup.models.viscous.model = \"laminar\"\n\n# 确认网格边界名称，避免静默设置错误\nboundary_conditions = solver.settings.setup.boundary_conditions\nvelocity_inlets = boundary_conditions.velocity_inlet\npressure_outlets = boundary_conditions.pressure_outlet\nwalls = boundary_conditions.wall\n\ninlet_names = list(velocity_inlets.keys())\noutlet_names = list(pressure_outlets.keys())\nwall_names = list(walls.keys())\n\nprint(\"入口边界：\", inlet_names)\nprint(\"出口边界：\", outlet_names)\nprint(\"壁面边界：\", wall_names)\n\nif \"inlet\" not in inlet_names:\n raise RuntimeError(\"网格中未找到 inlet，不能安全设置入口条件。\")\nif \"outlet\" not in outlet_names:\n raise RuntimeError(\"网格中未找到 outlet，不能安全设置出口条件。\")\n\n# 5. 设置入口速度与出口表压\nvelocity_inlets[\"inlet\"].momentum.velocity.value = 0.1\npressure_outlets[\"outlet\"].momentum.gauge_pressure.value = 0.0\n\n# 确认上下壁面均存在并保持默认无滑移条件\nif len(wall_names) < 2:\n raise RuntimeError(\"未识别到上下两个壁面，请检查网格物理分组。\")\n\nfor wall_name in wall_names:\n walls[wall_name].momentum.wall_motion = \"stationary\"\n walls[wall_name].momentum.velocity.value = 0.0\n\n# 6. 初始化新建模型\nsolver.settings.solution.initialization.hybrid_initialize()\n\n# 7. 分批迭代并记录每批实际运行情况\n# 采用较小批次，避免一次性长时间计算\nbatch_sizes = [100, 100, 100, 100, 100]\nbatch_results = []\n\nfor batch_index, iteration_count in enumerate(batch_sizes, start=1):\n solver.settings.solution.run_calculation.iterate(\n iter_count=iteration_count\n )\n\n batch_results.append({\n \"batch\": batch_index,\n \"iterations_requested\": iteration_count\n })\n\n print(\"迭代批次结果：\")\n print(json.dumps(batch_results[-1], ensure_ascii=False))\n\n # 每批保存 Case/Data，保留当前计算进度\n solver.settings.file.write_case_data(\n file_name=task_directory + r\"\\channel_latest.cas.h5\"\n )\n\n# 8. 最终保存\nsolver.settings.file.write_case_data(\n file_name=task_directory + r\"\\channel_final.cas.h5\"\n)\n\nprint(\"批次执行记录：\")\nprint(json.dumps(batch_results, ensure_ascii=False, indent=2))\nprint(\"已执行保存命令；请结合实际残差和质量守恒检查判断收敛性。\")"}}, "error": "{\"status\": \"error\", \"stdout\": \"\", \"stderr\": \"\\nTraceback (most recent call last):\\n File \\\"ansys\\\\fluent\\\\mcp\\\\solve\\\\backends\\\\pyfluent.py\\\", line 2793, in _do\\n exec( # noqa: S102 # nosec B102\\n File \\\"\\\", line 10, in \\nAttributeError: 'FluentAutomation' object has no attribute 'is_active'\\n\", \"return_value\": null, \"message\": \"'FluentAutomation' object has no attribute 'is_active'\", \"error_code\": \"execution_error\", \"warnings\": []}", "note": "可能有部分操作已生效，请先检查实时状态，修复后继续。"}] 【ChatGPT 回复】 ChatGPT 说： 修复思路：删除不存在的 fluentagi.is_active() 调用；修正矩形流道的壁面识别，不再错误要求必须存在两个独立壁面区。重新生成网格、配置边界、分批迭代并保存结果。 ```python # Use the existing connected PyFluent variable solver. # Continue with the complete executable script here. import json task_directory = r"C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261017-103656-ef1aaf" # 1. 创建二维矩形流道及三角形网格 mesh_info = fluentagi.build_planar( directory=task_directory, points=[ [0.0, 0.0], [0.2, 0.0], [0.2, 0.02], [0.0, 0.02] ], inlet_edges=[3], outlet_edges=[1], size=0.001 ) print("几何和网格生成信息：") print(json.dumps(mesh_info, ensure_ascii=False, default=str, indent=2)) if not isinstance(mesh_info, dict) or not mesh_info.get("mesh_file"): raise RuntimeError("未返回有效的 Fluent 网格文件，停止后续操作。") # 2. 导入 Fluent 网格并检查 solver.settings.file.read_mesh(file_name=mesh_info["mesh_file"]) solver.settings.mesh.check() # 3. 设置空气层流 solver.settings.setup.models.viscous.model = "laminar" # 4. 读取实际边界名称 bc = solver.settings.setup.boundary_conditions inlet_zones = bc.velocity_inlet outlet_zones = bc.pressure_outlet wall_zones = bc.wall inlet_names = list(inlet_zones.keys()) outlet_names = list(outlet_zones.keys()) wall_names = list(wall_zones.keys()) print("速度入口区：", inlet_names) print("压力出口区：", outlet_names) print("壁面区：", wall_names) if "inlet" not in inlet_names: raise RuntimeError("未找到 inlet 速度入口，请根据上方实际边界名称检查网格。") if "outlet" not in outlet_names: raise RuntimeError("未找到 outlet 压力出口，请根据上方实际边界名称检查网格。") if not wall_names: raise RuntimeError("没有识别到壁面区，停止计算。") # 5. 设置入口速度和出口表压 inlet_zones["inlet"].momentum.velocity.value = 0.1 outlet_zones["outlet"].momentum.gauge_pressure.value = 0.0 # build_planar 会将未指定的边界归入 walls。 # 上下壁面默认采用静止无滑移条件，不强行设置未知字段。 for name in wall_names: print("保留静止无滑移壁面默认设置：", name) # 6. 新建模型初始化 solver.settings.solution.initialization.hybrid_initialize() # 7. 分批迭代，每批保存计算状态 batch_sizes = [50, 50, 50, 50, 50] batch_results = [] for batch_index, count in enumerate(batch_sizes, start=1): solver.settings.solution.run_calculation.iterate( iter_count=count ) solver.settings.file.write_case_data( file_name=task_directory + r"\channel_latest.cas.h5" ) record = { "batch": batch_index, "iterations_requested": count, "case_data_saved": True } batch_results.append(record) print(json.dumps(record, ensure_ascii=False)) # 8. 最终保存 solver.settings.file.write_case_data( file_name=task_directory + r"\channel_final.cas.h5" ) # 9. 导出可用的压力和速度结果 export_result = fluentagi.export_results( directory=task_directory, fields=["pressure", "velocity-magnitude"] ) print("结果导出反馈：") print(json.dumps(export_result, ensure_ascii=False, default=str, indent=2)) print("计算批次记录：") print(json.dumps(batch_results, ensure_ascii=False, indent=2)) print("脚本执行流程结束；需要依据实际残差、质量守恒和导出反馈判断收敛。") ``` 上一次失败发生在 `is_active()` 调用处，因此尚无证据表明网格构建或求解操作已经执行。修复版移除了该调用，并将上下壁面按实际网格分组处理。 脚本计划执行 250 次迭代，并保存中间及最终 Case/Data，同时尝试导出压力和速度云图数据。**目前尚未验证这份修复脚本的实际执行结果，也不能保证已收敛。** 若再次报错，请提供完整错误信息；若执行成功，请进一步检查残差曲线、入口出口质量流量差和导出文件，确认计算是否可靠。 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: ```python # Use the existing connected PyFluent variable solver. # Continue with the complete executable script here. ``` 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 . Use the existing solver session and compatible PyFluent APIs. Do not launch or close Fluent. Do not use Abaqus APIs. Use solver.settings APIs and the provided fluentagi adapters. Direct solver.tui, execute_tui and Scheme remain rejected; the trusted v242 adapters may internally use fixed official TUI commands/journals. For mesh display use solver.settings.results.graphics.mesh and graphics.views APIs. Do not return JSON tool plans. Do not invent mesh files or API names. Only operate on the requested case and task directory. Preserve existing results. For a repair, inspect partially applied state and write a complete corrected script, not a patch or a repeated broken script. The web AI cannot read or modify host application source. Do not claim to have searched the host disk or request uploading FluentAGI source to run simulations. Use the verified runtime adapters. Define task_directory as the absolute Task directory below before calling adapters. For VOF surface tension use fluentagi.configure_surface_tension(directory=task_directory,coefficient=0.072,phase_a="phase-1",phase_b="phase-2"); coefficient is N/m, replace the example with the requested value. This v242 adapter preserves other phase pairs, enables the surface-tension model and reads back every coefficient. inspect_surface_tension(directory=task_directory) returns verified state. Do not ask the user to edit the plugin or click GUI dialogs for this supported operation. For three-phase boiling setup in Fluent 2024 R2, use fluentagi.configure_three_phase_materials(directory=task_directory, materials=["air", "water-liquid", "water-vapor"]) to create actual phase-1/2/3 domains and verify material assignments. For an existing three-phase model, fluentagi.assign_multiphase_materials(materials=[...], directory=task_directory) assigns materials without changing the phase count. Then call fluentagi.configure_evaporation_condensation(directory=task_directory, saturation_temperature=T_sat_K, evaporation_frequency=from_frequency_per_second, condensation_frequency=to_frequency_per_second, from_phase="phase-2", to_phase="phase-3"). Pass the user's specified temperature/frequencies; preserve their geometry, heating and calculation parameters. This verified v242 VOF Lee adapter enables energy, uses a fixed official TUI journal and verifies the phase pair, constant saturation temperature, both frequencies and Lee model by an independent case snapshot. It does not initialize or advance the simulation. Do not say this feature is unavailable because direct TUI is forbidden; use the adapter. fluentagi.inspect_phase_change(directory=task_directory) returns actual phases and mass transfer settings, refreshing a unique case snapshot. Do not replace existing unrelated mechanisms. This adapter supports one Lee mass transfer pair, not Eulerian wall boiling, semi-mechanistic wall boiling, pressure-dependent saturation tables or UDFs. Do not claim a complete validated boiling simulation from successful setup alone. initialize_air is a TWO-PHASE adapter; do not use it for three-phase cases. Use verified settings initialization and phase-aware patching only for requested new calculations. The runtime provides fluentagi.assign_phase_materials(primary="air", secondary="water-liquid", directory=task_directory), fluentagi.inspect_phases(), and fluentagi.export_results(directory=task_directory, fields=["pressure", "velocity-magnitude"]). For requested animation of an already initialized transient solution use fluentagi.record_animation(directory=task_directory, field="velocity-magnitude", frames=10, steps_per_frame=1, max_iter_per_step=20); it advances the solution and creates PNG frames and GIF. Never initialize or advance an existing solution without the user requesting calculation. These are executable verified adapters, not prose instructions. Use the phase adapter when asked to assign materials; do not ask the user to click the phase dialog. Print returned results. For postprocessing use export_results and assess its errors; never claim missing images were saved. Only import math/json/itertools/functools/collections/dataclasses/typing; datetime/os/pathlib imports are unavailable. Check is_active() before querying model-dependent settings on an empty mesh. For NEW planar geometry and meshing use mesh = fluentagi.build_planar(directory=task_directory, points=[[x,y],...], inlet_edges=[0], outlet_edges=[2], size=0.001). Coordinates and size are in METERS; polygon vertices ordered around its boundary; edge i joins point i to point (i+1)%N. This creates real STEP CAD and converts first-order triangular Gmsh cells into a genuine Fluent mesh with inlet/outlet/walls. Then solver.settings.file.read_mesh(file_name=mesh["mesh_file"]), solver.settings.mesh.check(), configure physics, initialize, iterate, and export_results. Save current case/data before replacing loaded geometry. Do not reuse a model from previous successful construction during a repair; use its mesh_file from feedback. For curved planar CAD, use fluentagi.geometry_mesh(directory=task_directory,code=gmsh_script_string); the worker has gmsh,math,output_dir already, no imports; create OCC geometry and physical line groups named inlet,outlet,walls, export STEP, generate first-order triangular or quadrilateral mesh(2). Returned mesh_file is Fluent format; gmsh-native.msh is NOT Fluent format. 3D modeling and volume mesh conversion are now implemented. fluentagi.build_volume(directory=task_directory, shape="box",length=0.1,width=0.02,height=0.02,size=0.005,mesh_type="tet") creates tetrahedra; mesh_type="hex" creates a structured all-hexahedron box. shape="cylinder",radius=0.01 supports tetrahedra with axis along +X. Inlet is X=0 and outlet X=length. fluentagi.build_extruded(directory=task_directory,points=[[x,y],...],inlet_edges=[0],outlet_edges=[2],depth=0.01,size=0.002,mesh_type="tet") extrudes a planar profile, naming lateral inlet/outlet faces; front/back faces are walls. mesh_type="hex-dominant" uses recombined extruded mesh and MAY include prisms: assess returned cell_types, never call mixed cells pure hex. geometry_mesh supports arbitrary OCC volumes (boolean unions/cuts), physical SURFACE groups inlet/outlet/walls, and mesh.generate(3), first-order tet/hex/prism/pyramid. Imported STEP is not currently supported by the restricted worker. build_planar mesh_type="quad" produces mapped pure quadrilaterals for valid four-sided rectangles; complex polygons can be quad/tri mixed. 2D uses triangles/quads, 3D uses tet/hex. The runtime starts or safely backs up its owned solver before switching dimension according to explicit user words. Do not request user-supplied 3D mesh for supported geometry. Save backups before replacing any loaded mesh. For 3D postprocessing create useful cut planes/isosurfaces using verified settings APIs; boundary-only contours are not an interior volume visualization. For an entire new analysis, carry out all stages rather than only inspection; collect real residual/convergence evidence and exports. For water-air transient filling, call fluentagi.configure_water_air(directory=task_directory,velocity=0.05,time_step=0.001,gravity_y=-9.81,inlet="inlet",outlet="outlet"). This backs up and sets laminar VOF, materials, phase-aware inlet/outlet, gravity and timestep; does NOT initialize or erase existing solution. For requested NEW filling use fluentagi.initialize_air(directory=task_directory), which saves a backup, hybrid initializes and patches phase-2 volume fraction to zero across all fluid cell zones. Never initialize_air on existing results without an explicit restart request. Fluent v242 contour fields are phase-2-vof (water, only after confirming phase-2=water-liquid) and phase-1-vof (air); do not confuse them. Query real contour field.allowed_values for VOF fields. For 3D interior contours/animation use section=fluentagi.create_section(axis="z",position=depth/2), then export_results(...,surfaces=[section["surface"]]) or record_animation(...,surfaces=[section["surface"]]). A plane section is not full volumetric rendering; report it accurately. Frames are 2..60. Each frame after the first advances steps_per_frame real time steps; final time is initial time+(frames-1)*steps_per_frame*time_step. Do not claim the pipe fills if the simulated duration is too short. Normalize typos like "二维四面体" by explaining 2D triangular equivalent; if depth/3D was explicitly requested, use volume tools. End with Chinese explanation of the intended changes, without claiming execution success. If essential input or an incompatible session prevents a valid script, return only the specific missing input in Chinese. After the desktop returns execution results, either provide a corrected script or return only a Chinese assessment supported by those results. Do not execute the same successful script again. Successful execution alone does not prove convergence. Runtime capabilities: {"protocol": "FluentAGI-capabilities-v1", "session": {"connected": true, "mode": "launch"}, "geometry": {"worker": "gmsh isolated process", "imports": [], "builtins": ["range", "len", "int", "float", "str", "list", "tuple", "enumerate", "zip", "min", "max", "abs", "round", "RuntimeError", "ValueError", "print", "set", "sum", "sorted", "bool", "all", "any"], "physical_groups": ["inlet", "outlet", "walls"], "cell_types": ["triangle", "quadrilateral", "tetrahedron", "hexahedron", "prism", "pyramid"]}, "script": {"imports": ["math", "json", "itertools", "functools", "collections", "dataclasses", "typing"], "adapters": ["build_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", "configure_evaporation_condensation", "inspect_phase_change", "configure_surface_tension", "inspect_surface_tension"]}, "generated_at": 1792204684.7172294, "phase_change": {"version": "v242", "model": "VOF Lee", "phases": [2, 3], "saturation": "constant K", "frequencies": "positive finite 1/s", "mass_transfer_pairs": 1, "internal_official_tui": true, "generated_direct_tui": false, "readback": "unique case snapshot", "initializes": false}, "surface_tension": {"version": "v242", "model": "VOF", "coefficient": "nonnegative finite N/m", "preserves_other_pairs": true, "readback": "unique case snapshot", "initializes": false}, "fluent_version": "Ansys Fluent 2024 R2", "model_active": false} Current session: {"connected": true, "dimension": 2, "mode": "solver", "owned": true} Task directory: C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261017-103656-ef1aaf Current request: 创建长 0.2 m、高 0.02 m 的二维流道，通过 build_planar 生成 STEP 和尺寸 0.001 m 的三角形 Fluent 网格。空气层流，入口速度 0.1 m/s，出口表压 0 Pa，上下壁面无滑移。分批迭代检查收敛，保存 case/data。 Desktop execution feedback: [{"failed_action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\n# Continue with the complete executable script here.\n\nimport math\nimport json\n\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261017-103656-ef1aaf\"\n\n# 1. 检查已有连接，不启动或关闭 Fluent\nif not fluentagi.is_active():\n raise RuntimeError(\"Fluent 当前没有可用的活动模型，停止后续操作。\")\n\n# 2. 构建二维矩形流道\n# 顶点按逆时针顺序排列：\n# 0=(0,0), 1=(0.2,0), 2=(0.2,0.02), 3=(0,0.02)\n# 边0=下壁面，边1=出口，边2=上壁面，边3=入口\nmesh_info = fluentagi.build_planar(\n directory=task_directory,\n points=[\n [0.0, 0.0],\n [0.2, 0.0],\n [0.2, 0.02],\n [0.0, 0.02]\n ],\n inlet_edges=[3],\n outlet_edges=[1],\n size=0.001\n)\nprint(\"几何与网格生成结果：\")\nprint(json.dumps(mesh_info, ensure_ascii=False, default=str))\n\nif not isinstance(mesh_info, dict) or not mesh_info.get(\"mesh_file\"):\n raise RuntimeError(\"未取得有效的 Fluent 网格文件，停止求解。\")\n\n# 3. 导入真实 Fluent 网格并检查\nsolver.settings.file.read_mesh(file_name=mesh_info[\"mesh_file\"])\nsolver.settings.mesh.check()\nprint(\"Fluent 网格导入与检查完成。\")\n\n# 4. 配置空气层流模型\nsolver.settings.setup.models.viscous.model = \"laminar\"\n\n# 确认网格边界名称，避免静默设置错误\nboundary_conditions = solver.settings.setup.boundary_conditions\nvelocity_inlets = boundary_conditions.velocity_inlet\npressure_outlets = boundary_conditions.pressure_outlet\nwalls = boundary_conditions.wall\n\ninlet_names = list(velocity_inlets.keys())\noutlet_names = list(pressure_outlets.keys())\nwall_names = list(walls.keys())\n\nprint(\"入口边界：\", inlet_names)\nprint(\"出口边界：\", outlet_names)\nprint(\"壁面边界：\", wall_names)\n\nif \"inlet\" not in inlet_names:\n raise RuntimeError(\"网格中未找到 inlet，不能安全设置入口条件。\")\nif \"outlet\" not in outlet_names:\n raise RuntimeError(\"网格中未找到 outlet，不能安全设置出口条件。\")\n\n# 5. 设置入口速度与出口表压\nvelocity_inlets[\"inlet\"].momentum.velocity.value = 0.1\npressure_outlets[\"outlet\"].momentum.gauge_pressure.value = 0.0\n\n# 确认上下壁面均存在并保持默认无滑移条件\nif len(wall_names) < 2:\n raise RuntimeError(\"未识别到上下两个壁面，请检查网格物理分组。\")\n\nfor wall_name in wall_names:\n walls[wall_name].momentum.wall_motion = \"stationary\"\n walls[wall_name].momentum.velocity.value = 0.0\n\n# 6. 初始化新建模型\nsolver.settings.solution.initialization.hybrid_initialize()\n\n# 7. 分批迭代并记录每批实际运行情况\n# 采用较小批次，避免一次性长时间计算\nbatch_sizes = [100, 100, 100, 100, 100]\nbatch_results = []\n\nfor batch_index, iteration_count in enumerate(batch_sizes, start=1):\n solver.settings.solution.run_calculation.iterate(\n iter_count=iteration_count\n )\n\n batch_results.append({\n \"batch\": batch_index,\n \"iterations_requested\": iteration_count\n })\n\n print(\"迭代批次结果：\")\n print(json.dumps(batch_results[-1], ensure_ascii=False))\n\n # 每批保存 Case/Data，保留当前计算进度\n solver.settings.file.write_case_data(\n file_name=task_directory + r\"\\channel_latest.cas.h5\"\n )\n\n# 8. 最终保存\nsolver.settings.file.write_case_data(\n file_name=task_directory + r\"\\channel_final.cas.h5\"\n)\n\nprint(\"批次执行记录：\")\nprint(json.dumps(batch_results, ensure_ascii=False, indent=2))\nprint(\"已执行保存命令；请结合实际残差和质量守恒检查判断收敛性。\")"}}, "error": "{\"status\": \"error\", \"stdout\": \"\", \"stderr\": \"\\nTraceback (most recent call last):\\n File \\\"ansys\\\\fluent\\\\mcp\\\\solve\\\\backends\\\\pyfluent.py\\\", line 2793, in _do\\n exec( # noqa: S102 # nosec B102\\n File \\\"\\\", line 10, in \\nAttributeError: 'FluentAutomation' object has no attribute 'is_active'\\n\", \"return_value\": null, \"message\": \"'FluentAutomation' object has no attribute 'is_active'\", \"error_code\": \"execution_error\", \"warnings\": []}", "note": "可能有部分操作已生效，请先检查实时状态，修复后继续。"}, {"action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\n# Continue with the complete executable script here.\n\nimport json\n\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261017-103656-ef1aaf\"\n\n# 1. 创建二维矩形流道及三角形网格\nmesh_info = fluentagi.build_planar(\n directory=task_directory,\n points=[\n [0.0, 0.0],\n [0.2, 0.0],\n [0.2, 0.02],\n [0.0, 0.02]\n ],\n inlet_edges=[3],\n outlet_edges=[1],\n size=0.001\n)\n\nprint(\"几何和网格生成信息：\")\nprint(json.dumps(mesh_info, ensure_ascii=False, default=str, indent=2))\n\nif not isinstance(mesh_info, dict) or not mesh_info.get(\"mesh_file\"):\n raise RuntimeError(\"未返回有效的 Fluent 网格文件，停止后续操作。\")\n\n# 2. 导入 Fluent 网格并检查\nsolver.settings.file.read_mesh(file_name=mesh_info[\"mesh_file\"])\nsolver.settings.mesh.check()\n\n# 3. 设置空气层流\nsolver.settings.setup.models.viscous.model = \"laminar\"\n\n# 4. 读取实际边界名称\nbc = solver.settings.setup.boundary_conditions\ninlet_zones = bc.velocity_inlet\noutlet_zones = bc.pressure_outlet\nwall_zones = bc.wall\n\ninlet_names = list(inlet_zones.keys())\noutlet_names = list(outlet_zones.keys())\nwall_names = list(wall_zones.keys())\n\nprint(\"速度入口区：\", inlet_names)\nprint(\"压力出口区：\", outlet_names)\nprint(\"壁面区：\", wall_names)\n\nif \"inlet\" not in inlet_names:\n raise RuntimeError(\"未找到 inlet 速度入口，请根据上方实际边界名称检查网格。\")\n\nif \"outlet\" not in outlet_names:\n raise RuntimeError(\"未找到 outlet 压力出口，请根据上方实际边界名称检查网格。\")\n\nif not wall_names:\n raise RuntimeError(\"没有识别到壁面区，停止计算。\")\n\n# 5. 设置入口速度和出口表压\ninlet_zones[\"inlet\"].momentum.velocity.value = 0.1\noutlet_zones[\"outlet\"].momentum.gauge_pressure.value = 0.0\n\n# build_planar 会将未指定的边界归入 walls。\n# 上下壁面默认采用静止无滑移条件，不强行设置未知字段。\nfor name in wall_names:\n print(\"保留静止无滑移壁面默认设置：\", name)\n\n# 6. 新建模型初始化\nsolver.settings.solution.initialization.hybrid_initialize()\n\n# 7. 分批迭代，每批保存计算状态\nbatch_sizes = [50, 50, 50, 50, 50]\nbatch_results = []\n\nfor batch_index, count in enumerate(batch_sizes, start=1):\n solver.settings.solution.run_calculation.iterate(\n iter_count=count\n )\n\n solver.settings.file.write_case_data(\n file_name=task_directory + r\"\\channel_latest.cas.h5\"\n )\n\n record = {\n \"batch\": batch_index,\n \"iterations_requested\": count,\n \"case_data_saved\": True\n }\n batch_results.append(record)\n print(json.dumps(record, ensure_ascii=False))\n\n# 8. 最终保存\nsolver.settings.file.write_case_data(\n file_name=task_directory + r\"\\channel_final.cas.h5\"\n)\n\n# 9. 导出可用的压力和速度结果\nexport_result = fluentagi.export_results(\n directory=task_directory,\n fields=[\"pressure\", \"velocity-magnitude\"]\n)\n\nprint(\"结果导出反馈：\")\nprint(json.dumps(export_result, ensure_ascii=False, default=str, indent=2))\n\nprint(\"计算批次记录：\")\nprint(json.dumps(batch_results, ensure_ascii=False, indent=2))\n\nprint(\"脚本执行流程结束；需要依据实际残差、质量守恒和导出反馈判断收敛。\")"}}, "result": "{\"status\": \"ok\", \"stdout\": \"几何和网格生成信息：\\n{\\n \\\"mesh_file\\\": \\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261017-103656-ef1aaf\\\\\\\\model-698354c7\\\\\\\\fluent.msh\\\",\\n \\\"cells\\\": 9280,\\n \\\"nodes\\\": 4861,\\n \\\"dimension\\\": 2,\\n \\\"cell_counts\\\": {\\n \\\"triangle\\\": 9280,\\n \\\"quadrilateral\\\": 0\\n },\\n \\\"boundaries\\\": [\\n \\\"inlet\\\",\\n \\\"outlet\\\",\\n \\\"walls\\\"\\n ],\\n \\\"physical_groups\\\": [\\n \\\"inlet\\\",\\n \\\"outlet\\\",\\n \\\"walls\\\"\\n ],\\n \\\"boundary_mapping\\\": {\\n \\\"inlet\\\": \\\"inlet\\\",\\n \\\"outlet\\\": \\\"outlet\\\",\\n \\\"walls\\\": \\\"walls\\\"\\n \n…中间日志已省略，完整日志保存在任务目录…\nne ...\\n 14140 faces, 4 zones ...\\n 4861 nodes, 1 zone ...\\n Done.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261017-103656-ef1aaf\\\\channel_latest.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n Writing results.\\nDone.\\n{\\\"batch\\\": 4, \\\"iterations_requested\\\": 50, \\\"case_data_saved\\\": true}\\n\\n iter continuity x-velocity y-velocity time/iter\\n 35 5.4412e-04 5.3886e-06 2.0695e-07 0:00:00 50\\n 36 4.4084e-04 4.2330e-06 1.6294e-07 0:00:00 49\\n! 36 solution is converged\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261017-103656-ef1aaf\\\\channel_latest.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n 9280 cells, 1 zone ...\\n 14140 faces, 4 zones ...\\n 4861 nodes, 1 zone ...\\n Done.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261017-103656-ef1aaf\\\\channel_latest.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n Writing results.\\nDone.\\n{\\\"batch\\\": 5, \\\"iterations_requested\\\": 50, \\\"case_data_saved\\\": true}\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261017-103656-ef1aaf\\\\channel_final.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n 9280 cells, 1 zone ...\\n 14140 faces, 4 zones ...\\n 4861 nodes, 1 zone ...\\n Done.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261017-103656-ef1aaf\\\\channel_final.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n Writing results.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261017-103656-ef1aaf\\\\post-103916-1578\\\\result.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n 9280 cells, 1 zone ...\\n 14140 faces, 4 zones ...\\n 4861 nodes, 1 zone ...\\n Done.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261017-103656-ef1aaf\\\\post-103916-1578\\\\result.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n Writing results.\\nDone.\\nCreating zone surface for fluid zone\\n结果导出反馈：\\n{\\n \\\"status\\\": \\\"ok\\\",\\n \\\"directory\\\": \\\"C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261017-103656-ef1aaf\\\\\\\\post-103916-1578\\\",\\n \\\"created\\\": \\\"2026-10-17T10:39:16.951889\\\",\\n \\\"files\\\": [\\n \\\"mesh.png\\\",\\n \\\"pressure.png\\\",\\n \\\"residual.csv\\\",\\n \\\"result.cas.h5\\\",\\n \\\"result.dat.h5\\\",\\n \\\"velocity-magnitude.png\\\"\\n ],\\n \\\"errors\\\": [],\\n \\\"convergence_verified\\\": false\\n}\\n计算批次记录：\\n[\\n {\\n \\\"batch\\\": 1,\\n \\\"iterations_requested\\\": 50,\\n \\\"case_data_saved\\\": true\\n },\\n {\\n \\\"batch\\\": 2,\\n \\\"iterations_requested\\\": 50,\\n \\\"case_data_saved\\\": true\\n },\\n {\\n \\\"batch\\\": 3,\\n \\\"iterations_requested\\\": 50,\\n \\\"case_data_saved\\\": true\\n },\\n {\\n \\\"batch\\\": 4,\\n \\\"iterations_requested\\\": 50,\\n \\\"case_data_saved\\\": true\\n },\\n {\\n \\\"batch\\\": 5,\\n \\\"iterations_requested\\\": 50,\\n \\\"case_data_saved\\\": true\\n }\\n]\\n脚本执行流程结束；需要依据实际残差、质量守恒和导出反馈判断收敛。\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}] 【ChatGPT 回复】 ChatGPT 说： 二维流道建模与求解已成功执行，Fluent 返回无执行错误。当前结果如下： - **几何：** 长 0.2 m、高 0.02 m 的二维流道。 - **网格：** 9,280 个三角形单元、4,861 个节点；入口、出口和壁面分组已生成。 - **物理设置：** 空气层流，入口速度 0.1 m/s，出口表压 0 Pa。 - **求解：** 日志显示第 36 次迭代时 Fluent 报告 `solution is converged`，随后继续执行分批流程。 - **文件保存：** 已保存 `channel_latest.cas.h5`、`channel_final.cas.h5` 及对应数据文件。 - **后处理：** 成功导出 `mesh.png`、`pressure.png`、`velocity-magnitude.png` 和 `residual.csv`，导出反馈无错误。 需要注意：后处理接口明确返回 `convergence_verified: false`，因此虽然求解器日志报告收敛，目前仍不能认定收敛性已独立验证。建议下一步检查残差曲线及入口、出口质量流量差，并查看压力云图、速度云图是否符合预期。