diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000000000000000000000000000000000000..375b152046d19b2e79bab73e6e9c9daccdd5a1ee --- /dev/null +++ b/.gitattributes @@ -0,0 +1,3 @@ +*.png filter=lfs diff=lfs merge=lfs -text +*.jpg filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..9306e755fd244de2d86e74ca73cc1061e01c1fdb --- /dev/null +++ b/.gitignore @@ -0,0 +1,40 @@ +# Python +__pycache__/ +*.py[cod] +*$py.class +*.so +.Python +env/ +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +*.egg-info/ +.installed.cfg +*.egg +.venv +venv/ +ENV/ + +# IDEs +.idea/ +.vscode/ +*.swp +*.swo +*.iml + +# OS +Thumbs.db +desktop.ini + +# Project specific +eval_result_*.json + diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..f1ef6a1f9060e40f34ee8d48b3a8040ad223e184 --- /dev/null +++ b/README.md @@ -0,0 +1,175 @@ +--- +license: cc-by-nc-4.0 +task_categories: +- visual-question-answering +- image-to-text +language: +- en +- zh +tags: +- benchmark +- visual-reasoning +- multimodal +- structural-mechanics +- image-to-json +- visual-question-answering +- stem +size_categories: +- n<1K +--- + +# StructuralEval: 结构力学大模型视觉推理评测基准 + +**StructuralEval** 是一个专注于**结构力学**领域的垂直大模型评测基准。本项目旨在评估多模态大语言模型（LMMs）在专业工程场景下的**视觉感知**、**空间推理**以及**结构建模**能力。 + +与传统的数学或通用视觉评测不同，本基准并不要求 AI 直接输出计算结果，而是要求 AI 扮演“建模工程师”的角色，将结构图片转化为计算机可识别的标准结构定义（JSON）。 + +## 核心理念 + +**"AI 负责建模，引擎负责计算"** + +1. **视觉转译 (Visual-to-Schema)**: AI 模型输入一张包含梁 (Beam)、刚架 (Frame) 或 桁架 (Truss) 的图片，识别其中的节点坐标、构件连接关系、支座类型（铰接、固接等）以及荷载信息。 +2. **物理验证 (Physics-Based Verification)**: AI 输出的 JSON 模型会被送入内置的 **WASM 物理求解器 (FrameCalc)** 进行有限元分析。 +3. **结果对齐**: 系统通过比较 AI 模型的物理响应（支座反力、最大弯矩）与真值（Ground Truth）来判定 AI 是否真正“读懂”了结构，而非简单的文本匹配。 + +## 可视化与调试 + +本项目的 JSON 定义格式与 [FrameCalc 在线结构分析工具](https://framecalc.aeutlook.com/) 完全兼容。 + +* **可视化方法**: 您可以将 `data/raw_models/` 中的任何 JSON 文件内容复制并导入到上述网站中，进行图形化查看和结果校核。 +* **经典题目**: + * `frame_010.json`: 该题目源自 **天津大学 2021 年结构力学考研真题**，具有极高的专业难度，挑战 AI 对复杂多跨静定/超静定结构的理解。 + +## 项目特点 + +* **基于真实物理引擎**: 集成 WebAssembly (WASM) 编译的高性能结构求解器，确保评测结果的物理严谨性。 +* **多维度难度分级**: 数据集包含从简单的简支梁到复杂的超静定刚架，难度分为 1-5 级。 + * **Level 1-2**: 基础梁结构，考察基本的构件与支座识别。 + * **Level 3**: 简单桁架与刚架，考察节点连接性与多构件推理。 + * **Level 4-5**: 复杂多跨刚架与大型桁架，考察对复杂拓扑和混合荷载的全局理解。 +* **容错性解析**: 内置鲁棒的 JSON 解析机制，专注于模型内容的准确性，而非格式的微小瑕疵。 + +## 目录结构 + +```text +structural-eval-benchmark/ +├── bin/ # 物理求解器核心 (framecalc.wasm) +├── data/ +│ ├── images/ # 题目图片 (png/jpg) +│ ├── ground_truth_meta/ # 包含标准答案与难度分级的元数据 +│ └── raw_models/ # 原始建模文件 (用于生成 GT) +├── src/ # 核心源码 (加载器、评测逻辑、Prompt) +├── tools/ # 辅助工具 (生成真值、可视化等) +├── run_eval.py # 评测主程序 +└── requirements.txt # 依赖清单 +``` + +## 快速开始 + +### 1. 环境准备 + +确保安装 Python 3.8+，并安装项目依赖： + +```bash +pip install -r requirements.txt +``` + +*(注：主要依赖包括 `openai`, `tqdm`, `wasmtime` 等)* + +### 2. 运行评测 + +使用 `run_eval.py` 启动评测。您需要提供兼容 OpenAI 接口的模型 API Key。 + +```bash +# 标准评测模式 +python run_eval.py --model "gpt-4o" --api-key "sk-..." + +# 任务过滤 (按 ID 关键字筛选，例如只评测“beam”类题目) +python run_eval.py --model "gemini-3-pro-preview" --api-base https://generativelanguage.googleapis.com/v1beta/openai/ --filter "beam" + +# 指定 API Base URL ，允许模型答错后重试3次 +python run_eval.py --model "qwen-vl-plus-2025-01-25" --api-base "https://dashscope.aliyuncs.com/compatible-mode/v1" --api-key "sk-..." --max-retries 3 +``` + +### 3. 调试模式 (Debug) + +如果您想测试环境或验证 Ground Truth 数据的正确性（不调用 AI）： + +```bash +python run_eval.py --debug +``` + +## 扩展数据集 + +如果您希望添加新的测试题目，请遵循以下步骤，系统会自动计算难度并生成真值： + +1. **准备数据**: + * 将结构建模 JSON 放入 `data/raw_models/`。 + * 将对应的图片放入 `data/images/`（支持 .png 或 .jpg）。 +2. **生成真值**: + 运行以下命令，工具会自动调用求解器计算物理真值，并根据构件数量和特征自动打分（Difficulty 1-5）。 + ```bash + python tools/generate_gt.py + ``` +3. **开始评测**: 新题目将自动包含在下一次评测中。 + +## 难度评分标准 + +* **Beam (梁)**: 基础分 1 分，含铰接 +1 分。 +* **Frame (刚架)**: 根据构件数量分级 (2-5 分)。 +* **Truss (桁架)**: 根据构件数量分级 (2-4 分)。 + +## 许可证 + +本项目采用 **CC BY-NC 4.0 (署名-非商业性使用)** 许可协议： +* **禁止商用**: 未经许可，不得将本项目及其包含的数据集用于商业目的。 +* **标注来源**: 免费使用的前提是必须在您的项目说明、论文或作品中明确标注本项目来源（StructuralEval 基准）。 + +## 评分与诊断机制 (Scoring & Diagnosis) + +为了更细致地评估模型在结构分析中的思维盲区，本基准采用了一套**分级诊断评分系统**。当 AI 的答案不正确时，系统并不会直接判定为 0 分，而是通过一系列“控制变量”实验来诊断错误原因，并给予部分分数。 + +### 1. 诊断流程 (Step-by-Step Diagnosis) + +当 AI 生成的结构无法通过全量验证时，评测脚本会自动按以下顺序进行排查： + +1. **几何/拓扑检查 (Geometry Check)**: + * 将 AI 模型与真值模型的材质统一、连接方式全部改为刚接、移除原始载荷并施加统一标准载荷，同时暂时将所有支座改为固定端。 + * **判定**: 如果此时反力一致，说明**节点位置和杆件连接关系**是正确的。 + * **失败后果**: 得分 **0.0** (Structure Wrong)。 + +2. **边界条件检查 (Support Check)**: + * 在通过几何检查的基础上，恢复原始的支座定义（保留统一刚接和标准载荷）。 + * **判定**: 如果此时反力一致，说明**支座类型和位置**是正确的。 + * **失败后果**: 得分 **0.25** (Supports Wrong)。 + +3. **连接方式检查 (Connection Check)**: + * 在通过上述检查的基础上，恢复原始的构件连接定义（如铰接/刚接），但仍使用标准载荷。 + * **判定**: 如果此时反力不一致，说明**构件的 Release (铰接) 设置**有误。 + * **失败后果**: 得分 **0.50** (Connections Wrong)。 + +4. **载荷检查 (Load Check)**: + * 如果上述步骤全对，但原始模型的全量计算结果不对，则唯一剩下的变量是**原题载荷**。 + * **判定**: 结构完全正确，仅载荷参数错误。 + * **得分**: **0.75** (Loads Wrong)。 + +5. **完全正确 (Perfect)**: + * 所有物理响应与真值完全匹配。 + * **得分**: **1.00**。 + +### 2. 最终得分计算 (Weighted Accuracy) + +为了体现题目难度的差异，最终榜单采用**加权准确率**计算： + +$$ +\text{单题得分} = \text{题目难度 (1-5)} \times \text{诊断系数 (0.0 - 1.0)} +$$ + +$$ +\text{加权准确率 (Weighted Accuracy)} = \frac{\sum \text{所有单题得分}}{\sum \text{所有题目的总难度分}} \times 100\% +$$ + +例如： +* 一道难度为 **3** 的刚架题，模型结构做对了但载荷写错（系数 0.75），得分为 $3 \times 0.75 = 2.25$。 +* 一道难度为 **1** 的梁题，模型全对（系数 1.0），得分为 $1 \times 1.0 = 1.0$。 +* 总得分 3.25，满分 4.0，加权准确率为 81.25%。 diff --git a/README_EN.md b/README_EN.md new file mode 100644 index 0000000000000000000000000000000000000000..aa237c06728741badd56202655bed0e2b6352704 --- /dev/null +++ b/README_EN.md @@ -0,0 +1,148 @@ +--- +license: cc-by-nc-4.0 +task_categories: +- visual-question-answering +- image-to-text +language: +- en +- zh +tags: +- benchmark +- visual-reasoning +- multimodal +- structural-mechanics +- image-to-json +- visual-question-answering +- stem +size_categories: +- n<1K +--- + +# StructuralEval: A Visual Reasoning Benchmark for Structural Mechanics + +**StructuralEval** is a specialized benchmark designed for the field of **structural mechanics**. It evaluates the **visual perception**, **spatial reasoning**, and **structural modeling** capabilities of Multimodal Large Language Models (MLLMs). + +Unlike general visual benchmarks, StructuralEval requires AI to act as a "Modeling Engineer," converting structural diagrams into standardized JSON definitions. + +## Core Philosophy + +**"AI for Modeling, Engine for Calculation"** + +1. **Visual-to-Schema**: Given an image of a Beam, Frame, or Truss, the AI identifies node coordinates, member connectivity, support types (fixed, pinned, etc.), and loading information. +2. **Physics-Based Verification**: The AI-generated JSON is fed into the built-in **WASM Physics Solver (FrameCalc)** for finite element analysis. +3. **Result Alignment**: The system compares the physical response (support reactions, max bending moments) of the AI's model with the Ground Truth (GT). This determines if the AI truly "understands" the structure rather than just matching text patterns. + +## Visualization & Debugging + +The JSON format used in this project is fully compatible with the [FrameCalc Online Structural Analysis Tool](https://framecalc.aeutlook.com/). + +* **How to Visualize**: You can copy the content of any JSON file from `data/raw_models/` and import it into the website for graphical inspection and result verification. +* **Classic Case**: + * `frame_010.json`: This task is based on a **2021 Tianjin University Graduate Entrance Exam** problem for Structural Mechanics. It features a complex statically indeterminate structure that poses a significant challenge to AI reasoning. + +## Key Features + +* **Integrated Physics Engine**: Uses a high-performance solver compiled to WebAssembly (WASM), ensuring physical rigor in evaluations. +* **Multi-Level Difficulty**: The dataset ranges from simple beams to complex frames, with difficulty levels from 1 to 5. + * **Level 1-2**: Basic beam structures, testing basic member and support identification. + * **Level 3**: Simple trusses and frames, testing connectivity and multi-member reasoning. + * **Level 4-5**: Complex multi-span frames and large trusses, testing global understanding of complex topologies and mixed loads. +* **Fault-Tolerant Parsing**: Includes robust JSON extraction and repair mechanisms, focusing on the accuracy of the model content rather than minor formatting issues. + +## Directory Structure + +```text +structural-eval-benchmark/ +├── bin/ # Physics solver core (framecalc.wasm) +├── data/ +│ ├── images/ # Task images (png/jpg) +│ ├── ground_truth_meta/ # Metadata containing GT solutions and difficulty levels +│ └── raw_models/ # Original modeling files (used to generate GT) +├── src/ # Core source code (loaders, metrics, prompts) +├── tools/ # Helper tools (GT generation, visualization, etc.) +├── run_eval.py # Main evaluation script +└── requirements.txt # Dependency list +``` + +## Quick Start + +### 1. Installation + +Ensure you have Python 3.8+ installed, then install dependencies: + +```bash +pip install -r requirements.txt +``` + +### 2. Run Evaluation + +Use `run_eval.py` to start the evaluation. You need to provide an API key compatible with the OpenAI interface. + +```bash +# Standard evaluation +python run_eval.py --model "gpt-4o" --api-key "sk-..." + +# Filter tasks (e.g., only evaluate "beam" tasks) +python run_eval.py --model "gemini-1.5-pro" --api-base "https://..." --filter "beam" + +# Enable retries (allows the model to fix errors up to 3 times) +python run_eval.py --model "qwen-vl-max" --api-key "sk-..." --max-retries 3 +``` + +### 3. Debug Mode + +To test your environment or verify Ground Truth data without calling the AI API: + +```bash +python run_eval.py --debug +``` + +## Scoring & Diagnosis + +To precisely identify the "blind spots" in AI reasoning, we use a **Step-by-Step Diagnostic System**. If an answer is incorrect, the system performs "controlled experiments" to diagnose the root cause and awards partial credit. + +### 1. Diagnostic Workflow + +If the full verification fails, the script executes the following checks: + +1. **Geometry Check**: + * The system unifies materials, sets all connections to rigid, applies a standard downward load, and forces all supports to "Fixed". + * **Result**: If reactions match, the **Geometry (nodes and members)** is correct. + * **Failure**: Score **0.0**. + +2. **Support Check**: + * Based on a correct geometry, the system restores original support types but keeps rigid connections and standard loads. + * **Result**: If reactions match, the **Support types and locations** are correct. + * **Failure**: Score **0.25**. + +3. **Connection Check**: + * Restores original connection types (e.g., hinges/releases) but keeps standard loads. + * **Result**: If reactions do not match, the **Member releases (hinges)** are incorrect. + * **Failure**: Score **0.50**. + +4. **Load Check**: + * If all structural elements are correct but the full calculation still fails, the error must lie in the **Applied Loads**. + * **Result**: The physical structure is perfect; only load parameters are wrong. + * **Score**: **0.75**. + +5. **Perfect Match**: + * All physical responses match the ground truth. + * **Score**: **1.00**. + +### 2. Weighted Accuracy Calculation + +Final scores are weighted by the difficulty of the tasks: + +$$ +\text{Task Score} = \text{Difficulty (1-5)} \times \text{Diagnostic Ratio (0.0 - 1.0)} +$$ + +$$ +\text{Weighted Accuracy} = \frac{\sum \text{Task Scores}}{\sum \text{Total Possible Difficulty}} \times 100\% +$$ + +## License + +This project is licensed under **CC BY-NC 4.0 (Attribution-NonCommercial 4.0 International)**: +* **Non-Commercial**: You may not use this project or its dataset for commercial purposes without permission. +* **Attribution**: You must give appropriate credit to this project (StructuralEval Benchmark) in any publications or derivative works. diff --git a/bin/framecalc.wasm b/bin/framecalc.wasm new file mode 100644 index 0000000000000000000000000000000000000000..df8985d45c49c7460a41512e253290779478e5c0 --- /dev/null +++ b/bin/framecalc.wasm @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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+ "id": "L8", + "a": "P9", + "b": "P10", + "E": 80918000, + "A": 0.007853981633974483, + "Iz": 0.000004908738521234054, + "density": 7850 + }, + { + "id": "L9", + "a": "P6", + "b": "P1", + "E": 80918000, + "A": 0.007853981633974483, + "Iz": 0.000004908738521234054, + "density": 7850 + }, + { + "id": "L10", + "a": "P7", + "b": "P2", + "E": 80918000, + "A": 0.007853981633974483, + "Iz": 0.000004908738521234054, + "density": 7850 + }, + { + "id": "L11", + "a": "P3", + "b": "P12", + "E": 80918000, + "A": 0.007853981633974483, + "Iz": 0.000004908738521234054, + "density": 7850 + }, + { + "id": "L12", + "a": "P12", + "b": "P8", + "E": 80918000, + "A": 0.007853981633974483, + "Iz": 0.000004908738521234054, + "density": 7850 + }, + { + "id": "L13", + "a": "P9", + "b": "P4", + "E": 80918000, + "A": 0.007853981633974483, + "Iz": 0.000004908738521234054, + "density": 7850 + }, + { + "id": "L14", + "a": "P5", + "b": "P11", + "E": 80918000, + "A": 0.007853981633974483, + "Iz": 0.000004908738521234054, + "density": 7850 + }, + { + "id": "L15", + "a": "P11", + "b": "P10", + "E": 80918000, + "A": 0.007853981633974483, + "Iz": 0.000004908738521234054, + "density": 7850 + }, + { + "id": "L16", + "a": "P9", + "b": "P11", + "E": 80918000, + "A": 0.007853981633974483, + "Iz": 0.000004908738521234054, + "density": 7850 + }, + { + "id": "L17", + "a": "P4", + "b": "P11", + "E": 80918000, + "A": 0.007853981633974483, + "Iz": 0.000004908738521234054, + "density": 7850 + }, + { + "id": "L18", + "a": "P9", + "b": "P12", + "E": 80918000, + "A": 0.007853981633974483, + "Iz": 0.000004908738521234054, + "density": 7850 + }, + { + "id": "L19", + "a": "P12", + "b": "P2", + "E": 80918000, + "A": 0.007853981633974483, + "Iz": 0.000004908738521234054, + "density": 7850 + }, + { + "id": "L20", + "a": "P4", + "b": "P12", + "E": 80918000, + "A": 0.007853981633974483, + "Iz": 0.000004908738521234054, + "density": 7850 + }, + { + "id": "L21", + "a": "P12", + "b": "P6", + "E": 80918000, + "A": 0.007853981633974483, + "Iz": 0.000004908738521234054, + "density": 7850 + } + ], + "supports": [ + { + "id": "S1", + "at": { + "type": "point", + "id": "P1" + }, + "kind": "pin", + "angleDeg": 0 + }, + { + "id": "S2", + "at": { + "type": "point", + "id": "P5" + }, + "kind": "roller", + "angleDeg": 0 + } + ], + "loads": [ + { + "id": "LD1", + "kind": "pointLoad", + "at": { + "type": "point", + "id": "P8" + }, + "value": 60, + "angleDeg": 270, + "angleMode": "relative", + "flip": 1 + } + ] +} \ No newline at end of file diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4f421ae11686825b526e715d1cd7be1a334fa46 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,5 @@ +openai>=1.0.0 +tqdm +numpy +json_repair +wasmtime \ No newline at end of file diff --git a/run_eval.py b/run_eval.py new file mode 100644 index 0000000000000000000000000000000000000000..718d633e70eb172a3f0edf36522fd53bc126d0cd --- /dev/null +++ b/run_eval.py @@ -0,0 +1,402 @@ +import os +import re +import json +import base64 +import argparse +import mimetypes +import copy +from tqdm import tqdm +from openai import OpenAI +import traceback + +# 引入项目模块 +from src.solver_bridge import TrussSolver +from src.metrics import compute_score +from src.data_loader import BenchmarkDataLoader +from src.prompts import PROMPT_REGISTRY + +# 尝试引入 json_repair，如果没有安装则退化到 json +try: + import json_repair + + JSON_LIB = json_repair +except ImportError: + import json + + JSON_LIB = json + print( + "[Warning] 'json_repair' library not found. Installing it (pip install json_repair) is highly recommended for robust parsing.") + + +# --- 辅助函数 --- +def encode_image(image_path): + """将图片文件读取并转换为 Base64 字符串""" + if not os.path.exists(image_path): + return None + mime_type, _ = mimetypes.guess_type(image_path) + if not mime_type: + mime_type = "image/png" + with open(image_path, "rb") as image_file: + encoded_string = base64.b64encode(image_file.read()).decode('utf-8') + return f"data:{mime_type};base64,{encoded_string}" + + +def extract_json(response_text): + """从模型回复中提取 或 markdown 内容""" + # 1. 尝试找 ... + match = re.search(r'(.*?)', response_text, re.DOTALL) + if match: return match.group(1).strip() + + # 2. 尝试找 <|begin_of_box|>...<|end_of_box|> (Special token usage) + match = re.search(r'<\|begin_of_box\|>(.*?)<\|end_of_box\|>', response_text, re.DOTALL) + if match: return match.group(1).strip() + + # 3. 尝试找 Markdown ```json ... ``` + match = re.search(r'```json(.*?)```', response_text, re.DOTALL) + if match: return match.group(1).strip() + + # 4. 尝试找 ``` ... ``` + match = re.search(r'```(.*?)```', response_text, re.DOTALL) + if match: return match.group(1).strip() + + # 5. 找最外层大括号 + match = re.search(r'\{.*?\}', response_text, re.DOTALL) + if match: return match.group(0).strip() + + return None + + +def run_chat_completion(client, model_name, messages, temperature=0.2): + """封装 API 调用 (支持流式输出)""" + try: + print(f"\n[Model Output Start]:") + stream = client.chat.completions.create( + model=model_name, + messages=messages, + temperature=temperature, + max_tokens=8192, + stream=True + ) + + full_content = [] + for chunk in stream: + if chunk.choices: + delta = chunk.choices[0].delta.content + if delta: + print(delta, end="", flush=True) + full_content.append(delta) + + print(f"\n[Model Output End]\n{'-'*40}") + return "".join(full_content) + + except Exception as e: + print(f"\n[API Error] {e}") + return None + + +# --- 诊断相关函数 --- + +def apply_standard_load(model): + """ + 移除所有原有载荷，给所有杆件施加世界坐标向下的均布载荷 + """ + model["loads"] = [] + links = model.get("links", []) + for link in links: + model["loads"].append({ + "id": f"TEST_LD_{link['id']}", + "kind": "distributedLoad", + "at": {"type": "link", "id": link["id"]}, + "wStart": 10, + "wEnd": 10, + "angleDeg": 270, # 向下 + "angleMode": "global" + }) + return model + +def apply_uniform_material_and_rigid_joints(model): + """ + 统一材质截面，并将所有连接设为刚接 + """ + for link in model.get("links", []): + link["E"] = 200e9 + link["A"] = 0.01 + link["Iz"] = 0.0001 + link["density"] = 7850 + # 强制刚接 + link["endA"] = "rigid" + link["endB"] = "rigid" + return model + +def solve_and_compare_reactions(solver, model_ai, model_gt): + """ + 求解两个模型并对比支座反力 + 返回: True (match) / False (mismatch) + """ + sol_ai, err_ai = solver.solve(model_ai) + sol_gt, err_gt = solver.solve(model_gt) + + if err_ai or err_gt or not sol_ai or not sol_gt: + return False # 求解失败视为不匹配 + + # 复用 compute_score 的反力对比逻辑 (忽略弯矩) + # 构造一个伪造的 gt_solution 格式，只包含 reactions + score, details = compute_score(sol_ai, {"reactions": sol_gt["reactions"], "max_moment": 0}, tolerance=0.05) + + # 只要反力匹配即可 + return details.get("reactions_match", False) + + +def diagnose_failure(solver, ai_json, gt_json): + """ + 执行三步诊断逻辑 + 返回: (partial_score, feedback_message) + """ + # 0. 准备工作：深拷贝以防修改原数据 + ai_base = copy.deepcopy(ai_json) + gt_base = copy.deepcopy(gt_json) + + # --- Step 1: 几何/拓扑验证 --- + # 操作：统一材质、刚接、标准载荷 + # ai_s1 = apply_standard_load(apply_uniform_material_and_rigid_joints(copy.deepcopy(ai_base))) + # gt_s1 = apply_standard_load(apply_uniform_material_and_rigid_joints(copy.deepcopy(gt_base))) + + # Refined Step 1: + def modify_supports_to_fixed(model): + for sup in model.get("supports", []): + sup["kind"] = "fixed" + sup["angleDeg"] = 0 # Reset angle + return model + + ai_s1 = apply_standard_load(modify_supports_to_fixed(apply_uniform_material_and_rigid_joints(copy.deepcopy(ai_base)))) + gt_s1 = apply_standard_load(modify_supports_to_fixed(apply_uniform_material_and_rigid_joints(copy.deepcopy(gt_base)))) + + if not solve_and_compare_reactions(solver, ai_s1, gt_s1): + return 0.0, "The geometric structure is incorrect. Please check node coordinates and member connectivity." + + # --- Step 2: 约束类型验证 --- + # 操作：恢复原始约束类型，但保持刚接，标准载荷。 + ai_s2 = apply_standard_load(apply_uniform_material_and_rigid_joints(copy.deepcopy(ai_base))) + gt_s2 = apply_standard_load(apply_uniform_material_and_rigid_joints(copy.deepcopy(gt_base))) + + if not solve_and_compare_reactions(solver, ai_s2, gt_s2): + return 0.25, "The geometry is correct, but the boundary conditions (supports) are incorrect. Check support types and locations." + + # --- Step 3: 连接方式验证 --- + # 操作：恢复原始连接方式 (Hinge/Rigid)，恢复原始约束，标准载荷。 + def apply_uniform_material_only(model): + for link in model.get("links", []): + link["E"] = 200e9 + link["A"] = 0.01 + link["Iz"] = 0.0001 + link["density"] = 7850 + return model + + ai_s3 = apply_standard_load(apply_uniform_material_only(copy.deepcopy(ai_base))) + gt_s3 = apply_standard_load(apply_uniform_material_only(copy.deepcopy(gt_base))) + + if solve_and_compare_reactions(solver, ai_s3, gt_s3): + # 结果一样 -> 说明连接方式没问题，之前总算不对是因为 原题载荷(Loads) 错了 + return 0.75, "The structure, supports, and connections are correct. Only the applied loads are incorrect." + else: + # 结果不一样 -> 说明连接方式(Joints)有问题 + return 0.50, "Geometry and supports are correct, but the member connection types (hinge/rigid) are incorrect." + + +def main(): + parser = argparse.ArgumentParser(description="Structural AI Benchmark Evaluator") + parser.add_argument("--model", type=str, default="debug-mode", help="Model name") + parser.add_argument("--api-base", type=str, default="http://localhost:8000/v1", help="API URL") + parser.add_argument("--api-key", type=str, default="EMPTY", help="API Key") + parser.add_argument("--limit", type=int, default=0, help="Limit tasks") + parser.add_argument("--max-retries", type=int, default=2, help="Max retry attempts") + parser.add_argument("--debug", action="store_true", help="Run sanity check using Ground Truth JSON (No AI)") + parser.add_argument("--prompt-type", type=str, default="standard", choices=PROMPT_REGISTRY.keys()) + parser.add_argument("--filter", type=str, default=None, help="Filter tasks") + + args = parser.parse_args() + + # 1. System Prompt + current_system_prompt = PROMPT_REGISTRY.get(args.prompt_type) + print(f"Loaded Prompt Template: [{args.prompt_type}]") + + # 2. Components + loader = BenchmarkDataLoader() + solver = TrussSolver("bin/framecalc.wasm") + client = OpenAI(api_key=args.api_key, base_url=args.api_base) if not args.debug else None + + # 3. Tasks + tasks = loader.load_tasks_for_eval() + if not tasks: return + + if args.filter: + tasks = [t for t in tasks if args.filter in t['id']] + if args.limit > 0: + tasks = tasks[:args.limit] + + print(f"Starting evaluation on {len(tasks)} tasks.") + results = [] + + for task in tqdm(tasks, desc="Evaluating"): + task_id = task['id'] + gt_solution = task['gt_solution'] + if isinstance(gt_solution, list) and len(gt_solution) > 0: gt_solution = gt_solution[0] + + # Load Raw GT Model for diagnosis + gt_raw_json = loader.load_raw_model_by_id(task_id) + + best_score = 0 + final_details = {} + fail_reason = "Unknown" + attempts_used = 0 + + # --- Debug Mode --- + if args.debug: + ai_json = gt_raw_json + if not ai_json: + fail_reason = "GT JSON Missing" + else: + ai_solution, solver_error = solver.solve(ai_json) + if solver_error: + fail_reason = f"Physics Solver Crashed: {solver_error}" + else: + score, details = compute_score(ai_solution, gt_solution) + best_score = score + final_details = details + fail_reason = "Success" if score == 1.0 else "Wrong Answer" + + # --- AI Mode --- + else: + base64_image = encode_image(task['image_path']) + messages = [ + {"role": "system", "content": current_system_prompt}, + {"role": "user", "content": [ + {"type": "text", "text": "Analyze the structure in this image and output the JSON definition."}, + {"type": "image_url", "image_url": {"url": base64_image}} + ]} + ] + + for attempt in range(args.max_retries + 1): + attempts_used = attempt + 1 + current_temp = 0.1 if attempt == 0 else 0.4 + + print(f"\n[Attempt {attempts_used}] Requesting API...") + response_text = run_chat_completion(client, args.model, messages, temperature=current_temp) + + if not response_text: + fail_reason = "API Failure" + break + + json_str = extract_json(response_text) + error_feedback = "" + + if not json_str: + error_feedback = "I cannot find valid JSON. Please output standard JSON inside tags." + fail_reason = "Parse Error" + else: + try: + ai_json = JSON_LIB.loads(json_str) + ai_solution, solver_error = solver.solve(ai_json) + + if solver_error: + error_feedback = f"Solver Error: {solver_error}. Check connectivity." + fail_reason = "Solver Crashed" + elif not ai_solution: + error_feedback = "Unstable structure (empty result)." + fail_reason = "Unstable" + else: + score, details = compute_score(ai_solution, gt_solution) + + if score == 1.0: + best_score = 1.0 + final_details = details + fail_reason = "Success" + break # Perfect! + else: + # ❌ 计算结果不对，启动诊断 + fail_reason = "Wrong Answer" + final_details = details + + # 只有当存在 GT Raw Model 时才能诊断 + if gt_raw_json: + partial_score, diag_feedback = diagnose_failure(solver, ai_json, gt_raw_json) + error_feedback = f"Result incorrect. Diagnostic: {diag_feedback}" + + # 如果是最后一次尝试，记录诊断得分为最终得分 + if attempt == args.max_retries: + best_score = partial_score + fail_reason = f"Partial: {diag_feedback}" + else: + error_feedback = "Result incorrect (Reaction forces mismatch)." + + except Exception as e: + error_feedback = f"JSON Syntax Error: {e}" + fail_reason = "Syntax Error" + + # Retry Logic + if attempt < args.max_retries and error_feedback: + print(f" -> Feedback: {error_feedback}") + messages.append({"role": "assistant", "content": response_text}) + messages.append({"role": "user", "content": f"Error: {error_feedback} Fix the JSON."}) + + # Final Score Calculation: Difficulty * Ratio + final_score = best_score * task.get("difficulty", 1) + + results.append({ + "id": task_id, + "score": final_score, # Now this is weighted + "ratio": best_score, # Store the raw ratio (0.0 - 1.0) + "difficulty": task.get("difficulty", 1), + "reason": fail_reason, + "attempts_used": attempts_used, + "details": final_details + }) + + # Summary + total_score = sum(r['score'] for r in results) + total_possible = sum(r['difficulty'] for r in results) if results else 0 + + avg_ratio = (sum(r['ratio'] for r in results) / len(results)) * 100 if results else 0 + weighted_acc = (total_score / total_possible) * 100 if total_possible else 0 + + print("\n" + "=" * 60) + print(f"📊 Evaluation Report: {args.model}") + print(f"Filter: {args.filter if args.filter else 'None'} | Max Retries: {args.max_retries}") + print("-" * 60) + print(f"{'Category':<15} | {'Tasks':<8} | {'Score':<10} | {'Max Score':<10} | {'Accuracy':<10}") + print("-" * 60) + + # Breakdown by Category (Beam, Frame, Truss) + categories = {'beam': [], 'frame': [], 'truss': []} + + for r in results: + # Determine category from ID prefix (e.g., beam_001 -> beam) + cat_key = r['id'].split('_')[0].lower() + if cat_key in categories: + categories[cat_key].append(r) + else: + # Handle unknown prefixes if any + if 'other' not in categories: categories['other'] = [] + categories['other'].append(r) + + # Print rows + for cat, items in categories.items(): + if not items: continue # Skip empty categories (e.g. if filtered) + + c_score = sum(x['score'] for x in items) + c_max = sum(x['difficulty'] for x in items) + c_acc = (c_score / c_max) * 100 if c_max > 0 else 0 + + print(f"{cat.capitalize():<15} | {len(items):<8} | {c_score:<10.2f} | {c_max:<10.0f} | {c_acc:<9.2f}%") + + print("-" * 60) + print(f"{'OVERALL':<15} | {len(results):<8} | {total_score:<10.2f} | {total_possible:<10.0f} | {weighted_acc:<9.2f}%") + print("=" * 60) + + output_filename = f"eval_result_{'DEBUG' if args.debug else args.model.replace('/', '_')}.json" + with open(output_filename, "w") as f: + json.dump(results, f, indent=2) + print(f"Results saved to {output_filename}") + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/src/__init__.py b/src/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/src/data_loader.py b/src/data_loader.py new file mode 100644 index 0000000000000000000000000000000000000000..4eb92b5e627b7a571666b8d976b34c7cb3b68b68 --- /dev/null +++ b/src/data_loader.py @@ -0,0 +1,77 @@ +import json +import os +from pathlib import Path + +class BenchmarkDataLoader: + def __init__(self, data_root="data"): + self.root = Path(data_root) + self.img_dir = self.root / "images" + self.meta_dir = self.root / "ground_truth_meta" + self.raw_dir = self.root / "raw_models" + + def load_tasks_for_eval(self): + """ + 加载用于评测的任务列表 (只读 meta 和图片) + """ + tasks = [] + if not self.meta_dir.exists(): + print(f"Warning: {self.meta_dir} does not exist. Please run tools/generate_gt.py first.") + return [] + + for meta_file in self.meta_dir.glob("*.json"): + try: + with open(meta_file, 'r', encoding='utf-8') as f: + meta = json.load(f) + + # 校验图片是否存在 + img_name = meta.get("image_filename") + img_path = self.img_dir / img_name + if not img_path.exists(): + print(f"Skipping {meta_file.name}: Image not found at {img_path}") + continue + + tasks.append({ + "id": meta["id"], + "difficulty": meta.get("difficulty", 1), + "image_path": str(img_path), + "gt_solution": meta["solution"] # 里面已经存了算好的正确答案 + }) + except Exception as e: + print(f"Error loading {meta_file}: {e}") + + # 按 ID 排序，保证顺序固定 (e.g. beam_001 先于 beam_002) + tasks.sort(key=lambda x: x['id']) + + return tasks + + def load_raw_models(self): + """ + 加载原始 JSON 模型 (用于 tools/generate_gt.py 生成真值) + """ + models = [] + for json_file in self.raw_dir.glob("*.json"): + models.append({ + "id": json_file.stem, + "path": str(json_file), + "filename": json_file.name + }) + return models + + def load_raw_model_by_id(self, task_id): + """ + [Debug模式专用] 根据 Task ID 读取原始的正确 JSON 文件 + """ + # 假设文件名规则是 {task_id}.json + # 如果你的 id 是 "frame_001"，文件名也是 "frame_001.json" + json_path = self.raw_dir / f"{task_id}.json" + + if not json_path.exists(): + # 尝试做一下兼容，有时候 ID 可能不带后缀 + return None + + try: + with open(json_path, 'r', encoding='utf-8') as f: + return json.load(f) + except Exception as e: + print(f"Error reading raw model {json_path}: {e}") + return None \ No newline at end of file diff --git a/src/metrics.py b/src/metrics.py new file mode 100644 index 0000000000000000000000000000000000000000..eed45ccdd4a59554d2341cc33d6db9fee3d9ec6a --- /dev/null +++ b/src/metrics.py @@ -0,0 +1,91 @@ +import numpy as np + + +def extract_values_from_list(raw_list): + """ + 辅助函数：从求解器输出的复杂列表中提取纯数值 + 兼容两种格式： + 1. [10.5, -5.0] (纯数字) + 2. [{"value": 10.5}, {"value": -5.0}] (对象字典) + """ + values = [] + for item in raw_list: + if isinstance(item, (int, float)): + values.append(float(item)) + elif isinstance(item, dict): + # 优先找 'value' 字段，如果没有则尝试找 'force' + val = item.get("value", item.get("force", 0.0)) + values.append(float(val)) + return values + + +def compute_score(ai_solution: dict, gt_solution: dict, tolerance=0.05): + """ + 对比 AI 算出的结果和标准答案 + 返回: (score, details_dict) + score: 0 或 1 + """ + if not ai_solution or not gt_solution: + return 0, {"reason": "Solution is None"} + + # --- 1. 数据清洗与提取 --- + # 使用辅助函数提取纯数值列表 + ai_raw_list = extract_values_from_list(ai_solution.get("reactions", [])) + gt_raw_list = extract_values_from_list(gt_solution.get("reactions", [])) + + # --- Part A: 支座反力 (Reactions) --- + # 取绝对值并从大到小排序，消除顺序和正负号的影响 + ai_reacts = sorted([abs(x) for x in ai_raw_list], reverse=True) + gt_reacts = sorted([abs(x) for x in gt_raw_list], reverse=True) + + reactions_pass = False + + # 对比逻辑 + if len(ai_reacts) == len(gt_reacts): + # 转换为 numpy 数组方便计算 + ai_arr = np.array(ai_reacts) + gt_arr = np.array(gt_reacts) + + # 避免分母为 0 + denom = gt_arr.copy() + denom[denom == 0] = 1.0 + + diff = np.abs(ai_arr - gt_arr) + + # 判定标准：绝对误差 < 1e-4 或者 相对误差 < tolerance + # (这样既能处理大数，也能处理接近0的小数) + is_close = (diff < 1e-3) | (diff / denom <= tolerance) + reactions_pass = np.all(is_close) + else: + # 支座数量都不对，直接判错 + pass + + # --- Part B: 最大弯矩 (Global Max Moment) --- + # 同样要处理可能的字典格式，不过 max_moment 通常是个单值 + raw_ai_moment = ai_solution.get("max_moment", 0.0) + raw_gt_moment = gt_solution.get("max_moment", 0.0) + + # 如果是字典，提取 value + if isinstance(raw_ai_moment, dict): raw_ai_moment = raw_ai_moment.get("value", 0.0) + if isinstance(raw_gt_moment, dict): raw_gt_moment = raw_gt_moment.get("value", 0.0) + + ai_moment = abs(float(raw_ai_moment)) + gt_moment = abs(float(raw_gt_moment)) + + moment_pass = False + if gt_moment == 0: + moment_pass = ai_moment < 1e-3 + else: + moment_pass = abs(ai_moment - gt_moment) / gt_moment <= tolerance + + # --- 最终判定 --- + is_correct = reactions_pass and moment_pass + + details = { + "reactions_match": bool(reactions_pass), + "moment_match": bool(moment_pass), + "ai_reacts": ai_reacts, # 用于调试日志 + "gt_reacts": gt_reacts + } + + return (1.0 if is_correct else 0.0), details \ No newline at end of file diff --git a/src/prompts.py b/src/prompts.py new file mode 100644 index 0000000000000000000000000000000000000000..9bf7ce614b417ee5941dc2fb05ab04d68d139fcb --- /dev/null +++ b/src/prompts.py @@ -0,0 +1,193 @@ +# src/prompts.py + +# ============================================================================== +# 1. 标准模式 (Standard) +# ============================================================================== +PROMPT_STANDARD = """ +You are a structural engineering expert. +Convert the 2D image into FEA JSON. + +### JSON Output Schema + +{ + "points": [{"id": "P1", "x": 0, "y": 0}, ...], + "links": [ + { + "id": "L1", "a": "P1", "b": "P2", "endA": "rigid", "endB": "rigid", + "E": 80918000, "A": 0.00785398, "Iz": 0.00000491, "density": 7850 + } + ], + "supports": [{"id": "S1", "at": {"type": "point", "id": "P1"}, "kind": "pin", "angleDeg": 0}, ...], + "loads": [ + { + "id": "LD1", + "kind": "distributedLoad", + "at": {"type": "link", "id": "L1"}, + "wStart": 10, + "wEnd": 10, + "fromStart": 0, + "fromEnd": 0, + "angleMode": "world", + "angleDeg": 270, + "flip": 1 + } + ] +} + + +### Rules +1. **CONNECTIVITY IS MANDATORY:** + - Every Point MUST be connected to at least one Link. + - No "floating" or "orphan" nodes allowed (e.g., do not define P3 if it is not part of any Link). + - Ensure the entire structure forms a single connected graph. +2. **LINK ENDS:** + - **Default:** `rigid-rigid` (even for Trusses). + - **Hinge Circles:** If a link ends at a hinge circle, set that end to `hinge`. + - **Allowed Combinations:** `rigid-rigid`, `rigid-hinge`, `hinge-rigid`. + - **FORBIDDEN:** `hinge-hinge` is NOT allowed. +3. **JOINT LOGIC:** If N links meet at a hinge circle, set `hinge` for N-1 links (keep 1 rigid to stabilize). + - **Split Rule:** If a hinge exists along a member with a distributed load, **SPLIT** the member into two Links and **SPLIT** the load into two separate `distributedLoad` entries. +4. **NO HINGES AT SUPPORTS:** Link ends at supports MUST be `rigid`. +5. **SUPPORTS:** Allowed `kind` values are: + - `"pin"`: Pinned support (UX, UY restricted). + - `"roller"`: Roller support (UY restricted if angle is 0). + - `"fixed"`: Fixed/Cantilever support (UX, UY, RZ restricted). + - `"slider"`: Slider support (UX, RZ restricted). + - **Note:** Do NOT use `"hinge"` as a support `kind`. Use `"pin"` instead. +6. **LOADS:** + - **MUST use `kind` (NOT `type`).** IDs must start with "LD" (e.g., "LD1"). + - **Target (`at`):** Can be `{"type": "point", "id": "P1"}` or `{"type": "link", "id": "L1"}`. + - `kind: "pointLoad"`: Use `value`, `angleDeg`, `angleMode`, `flip`. + - `kind: "distributedLoad"`: Use `wStart`, `wEnd`, `fromStart`, `fromEnd`, `angleDeg`, `angleMode`, `flip`. + - `kind: "bendingMoment"`: Use `value`, `flip` (**-1: Clockwise, 1: Counter-Clockwise**). (NO angle fields). + - **Link-Specific:** If `at` is a `link`, `pointLoad` and `bendingMoment` MUST include: + - `offset` (meters) + - `offsetMode` ("length" or "percent") + - `offsetPercent` (required if `offsetMode` is "percent") + - `refEnd` ("A" or "B") + - **AngleMode:** Use "world". + - **Flip:** Must be 1 or -1. +6. **UNITS:** + - Forces: **kN** (e.g., 10, not 10000). + - Distributed Loads: **kN/m**. + - Moments: **kN·m**. +7. **Properties:** E: 80918000, A: 0.00785398, Iz: 0.00000491, density: 7850. +8. **NO COMMENTS:** Do NOT include comments (e.g., // or /* */) inside the JSON. Standard JSON only. +""" + +# ============================================================================== +# 2. 推理/高阶模式 (Reasoning/CoT) +# ============================================================================== +PROMPT_REASONING = """You are a "Structural Image → JSON" converter. + +# CORE STRATEGY: CONNECTIVITY & TOPOLOGY + +1. **NO ORPHAN NODES:** + * **Rule:** Every Point ID defined in `"points"` MUST appear as either `a` or `b` in the `"links"` array. + * **Check:** Do not create intermediate points (like P2, P3) if they are just floating in space. They must connect members. + * **Structure:** The final result must be a single coherent structure, not disjoint parts. + +2. **DEFAULT: RIGID-RIGID** + - Use `rigid-rigid` generally (including Trusses). + - **Explicit Hinges:** Use `rigid-hinge` or `hinge-rigid`. + - **Constraint:** `hinge-hinge` is **FORBIDDEN**. + - **Support Ends:** ALWAYS Rigid. + +3. **SUPPORTS:** Allowed `kind` values are: + - `"pin"`, `"roller"`, `"fixed"`, `"slider"`. + - **Do NOT use `"hinge"` as a support kind.** + +4. **LOAD SCHEMA (Strict):** + * **MUST use `kind` (NOT `type`).** IDs must start with "LD" (e.g., "LD1"). + * `kind: "pointLoad"`: Fields `id`, `kind`, `at`, `value`, `angleMode` ("world"), `angleDeg`, `flip` (1/-1). + * `kind: "distributedLoad"`: Fields `id`, `kind`, `at`, `wStart`, `wEnd`, `fromStart`, `fromEnd`, `angleMode` ("world"), `angleDeg`, `flip` (1/-1). + * `kind: "bendingMoment"`: Fields `id`, `kind`, `at`, `value`, `flip` (-1: CW, 1: CCW). + * Link Loads: Add `refEnd`, `offset`, `fromStart`, `fromEnd` as needed. + +4. **SPLIT AT HINGES:** + * If a hinge is located in the middle of a beam: + * **Split the Link:** Create two links meeting at the hinge point. + * **Split the Load:** Create two `distributedLoad` entries (one for each link). + +# DATA DEFINITIONS +- **Units:** Forces in **kN**, Distributed loads in **kN/m**, Moments in **kN·m**. Use small values (e.g., 10, not 10000). +- **Links:** Must include E: 80918000, A: 0.00785398, Iz: 0.00000491, density: 7850. +- **No Comments:** JSON must be strict. No // comments. + +# OUTPUT FORMAT + +1. **Nodes:** List coordinates. Verify every node is part of a link. +2. **Links:** Define connections. Ensure P_start to P_end connectivity. +3. **Supports/Loads:** Add boundary conditions. + + ... + + +* Nodes: P1(0,0), P2(5,0), P3(10,0). +* Connectivity Check: + - L1 connects P1-P2. + - L2 connects P2-P3. + - All nodes (P1, P2, P3) are used. Structure is continuous. +* Joint P2: Rigid continuous connection. +* Supports: P1(Pin), P3(Roller). + + + +{ + "points": [ + { "id": "P1", "x": 0, "y": 0 }, + { "id": "P2", "x": 5, "y": 0 }, + { "id": "P3", "x": 10, "y": 0 } + ], + "links": [ + { "id": "L1", "a": "P1", "b": "P2", "endA": "rigid", "endB": "rigid", "E": 80918000, "A": 0.00785398, "Iz": 0.00000491, "density": 7850 }, + { "id": "L2", "a": "P2", "b": "P3", "endA": "rigid", "endB": "rigid", "E": 80918000, "A": 0.00785398, "Iz": 0.00000491, "density": 7850 } + ], + "supports": [ + { "id": "S1", "at": { "type": "point", "id": "P1" }, "kind": "pin", "angleDeg": 0 }, + { "id": "S2", "at": { "type": "point", "id": "P3" }, "kind": "roller", "angleDeg": 0 } + ], + "loads": [] +} +""" + +# ============================================================================== +# 3. 严格模式 (Strict) +# ============================================================================== +PROMPT_STRICT = """ +Output structural JSON inside tags. + +**STRICT RULES:** +1. **CONNECTIVITY:** Every Point MUST connect to a Link. No orphan nodes. +2. **LINKS:** Default `rigid-rigid`. +3. **HINGES:** Use `rigid-hinge` or `hinge-rigid` for hinge circles. **NO `hinge-hinge`.** Split links/loads at internal hinges. +4. **SUPPORTS:** Link ends at supports MUST be `rigid`. Allowed kinds: `pin`, `roller`, `fixed`, `slider`. **NO `hinge`.** +5. **LOADS:** + - **MUST use `kind` (NOT `type`).** IDs must start with "LD". + - `kind: "pointLoad"`: Use `value`, `angleDeg`, `angleMode` ("world"), `flip` (1 or -1). + - `kind: "distributedLoad"`: Use `wStart`, `wEnd`, `fromStart`, `fromEnd`, `angleDeg`, `angleMode` ("world"), `flip` (1 or -1). + - `kind: "bendingMoment"`: Use `value`, `flip` (-1: Clockwise, 1: Counter-Clockwise). + - **Link Loads:** If `at.type` is "link", `pointLoad`/`bendingMoment` MUST have `offset`, `offsetMode` ("length" or "percent"), `refEnd` ("A"/"B"). +6. **UNITS:** Forces: **kN**, Distributed: **kN/m**, Moments: **kN·m**. +7. **PROPERTIES:** "E": 80918000, "A": 0.00785398, "Iz": 0.00000491, "density": 7850. +8. **NO COMMENTS:** Standard JSON only. No // or /* */ allowed. + + +{ + "points": [{"id": "P1", "x": 0, "y": 0}, {"id": "P2", "x": 2, "y": 0}], + "links": [{"id": "L1", "a": "P1", "b": "P2", "endA": "rigid", "endB": "rigid", "E": 80918000, "A": 0.00785398, "Iz": 0.00000491, "density": 7850}], + "supports": [{"id": "S1", "at": {"type": "point", "id": "P1"}, "kind": "fixed", "angleDeg": 0}], + "loads": [] +} + +""" + +# ============================================================================== +# Prompt 注册表 +# ============================================================================== +PROMPT_REGISTRY = { + "standard": PROMPT_STANDARD, + "reasoning": PROMPT_REASONING, + "cot": PROMPT_REASONING, + "strict": PROMPT_STRICT +} \ No newline at end of file diff --git a/src/solver_bridge.py b/src/solver_bridge.py new file mode 100644 index 0000000000000000000000000000000000000000..ab4c58977a541b062bd9f44633a36983c4c1bf98 --- /dev/null +++ b/src/solver_bridge.py @@ -0,0 +1,152 @@ +import json +import os +import tempfile +import multiprocessing +import traceback +from wasmtime import Engine, Store, Module, Linker, WasiConfig, ExitTrap, Config + +# 定义一个独立的函数用于在子进程中运行 +def _run_wasm_in_process(wasm_path, input_data, return_dict): + """ + 运行在独立子进程中的 WASM 执行逻辑。 + 结果写入 return_dict['result'] 或 return_dict['error'] + """ + try: + # 配置 WASM 引擎 (尝试降低优化等级以规避寄存器分配错误) + config = Config() + config.cranelift_opt_level = "none" # 关闭优化，牺牲速度换取稳定性 + + engine = Engine(config) + linker = Linker(engine) + linker.define_wasi() + + # 加载模块 + module = Module.from_file(engine, wasm_path) + store = Store(engine) + + input_bytes = json.dumps(input_data).encode("utf-8") + + # 使用临时文件处理 IO + with tempfile.NamedTemporaryFile(mode='wb', delete=False) as f_in, \ + tempfile.NamedTemporaryFile(mode='rb', delete=False) as f_out, \ + tempfile.NamedTemporaryFile(mode='rb', delete=False) as f_err: + + # 记录文件名以便稍后清理 (注意：子进程内 unlink 可能有权限问题，最好由父进程或最后清理) + # 但为了简单，我们尽量在 finally 清理 + temp_files = [f_in.name, f_out.name, f_err.name] + + try: + # 1. 写入输入 + f_in.write(input_bytes) + f_in.flush() + f_in.close() + + # 2. 配置 WASI + wasi = WasiConfig() + wasi.stdin_file = f_in.name + wasi.stdout_file = f_out.name + wasi.stderr_file = f_err.name + store.set_wasi(wasi) + + # 3. 实例化并运行 + instance = linker.instantiate(store, module) + start = instance.exports(store)["_start"] + start(store) + + # 4. 读取结果 + output_bytes = f_out.read() + if not output_bytes: + return_dict['error'] = "Empty Output from WASM" + else: + try: + return_dict['result'] = json.loads(output_bytes) + except json.JSONDecodeError: + return_dict['error'] = "Invalid JSON Output from WASM" + + except ExitTrap as e: + if e.code != 0: + f_err.seek(0) + log = f_err.read().decode('utf-8', errors='ignore') + return_dict['error'] = f"WASM Crashed (Code {e.code}): {log}" + else: + # Exit 0 可能是正常的，尝试读取输出 + f_out.seek(0) + output_bytes = f_out.read() + if output_bytes: + try: + return_dict['result'] = json.loads(output_bytes) + except: + return_dict['error'] = "Exit 0 but invalid JSON" + else: + return_dict['error'] = "Exit 0 with no output" + + except Exception as e: + return_dict['error'] = f"Execution Error: {str(e)}" + + finally: + # 清理文件 + try: f_out.close() + except: pass + try: f_err.close() + except: pass + + for f in temp_files: + if os.path.exists(f): + try: os.unlink(f) + except: pass + + except Exception as e: + return_dict['error'] = f"Process Init Error: {str(e)}\n{traceback.format_exc()}" + + +class TrussSolver: + def __init__(self, wasm_path="bin/framecalc.wasm"): + if not os.path.exists(wasm_path): + raise FileNotFoundError(f"WASM binary not found at: {wasm_path}") + self.wasm_path = wasm_path + + def solve(self, input_data: dict, timeout=10): + """ + 通过子进程执行计算，确保主进程安全。 + """ + manager = multiprocessing.Manager() + return_dict = manager.dict() + + # 启动子进程 + p = multiprocessing.Process( + target=_run_wasm_in_process, + args=(self.wasm_path, input_data, return_dict) + ) + + p.start() + p.join(timeout=timeout) + + if p.is_alive(): + p.terminate() + p.join() + return None, f"Timeout ({timeout}s) - Solver process killed" + + # 检查退出码 + if p.exitcode != 0: + # 如果退出码不为0，说明底层崩溃了 (例如 Rust Panic) + error_msg = return_dict.get('error', f"Process Crashed with exit code {p.exitcode}") + return None, error_msg + + # 正常退出，检查结果 + if 'error' in return_dict: + return None, return_dict['error'] + + if 'result' in return_dict: + return self._clean_floats(return_dict['result']), None + + return None, "Unknown Error (No result returned)" + + def _clean_floats(self, data, threshold=1e-9): + """清洗浮点数""" + if isinstance(data, dict): + return {k: self._clean_floats(v, threshold) for k, v in data.items()} + elif isinstance(data, list): + return [self._clean_floats(v, threshold) for v in data] + elif isinstance(data, float): + return 0.0 if abs(data) < threshold else data + return data diff --git a/tools/add_difficulty.py b/tools/add_difficulty.py new file mode 100644 index 0000000000000000000000000000000000000000..f5468693ff2ec6ba513711b29a48421baef99660 --- /dev/null +++ b/tools/add_difficulty.py @@ -0,0 +1,71 @@ +import os +import json +import glob + +RAW_DIR = "data/raw_models" +META_DIR = "data/ground_truth_meta" + +def get_difficulty(filename, data): + name = os.path.splitext(filename)[0] + + # User explicit overrides + if name == "frame_010": return 5 + if name in ["beam_003", "beam_004", "beam_005"]: return 1 + if name in ["beam_001", "beam_002"]: return 2 + + # Heuristics + links = data.get("links", []) + num_links = len(links) + + if "beam" in name: + # Check for hinges + has_hinge = False + for l in links: + if l.get("endA") == "hinge" or l.get("endB") == "hinge": + has_hinge = True + break + return 2 if has_hinge else 1 + + if "truss" in name: + if num_links > 20: return 4 + if num_links > 10: return 3 + return 2 + + if "frame" in name: + if num_links >= 14: return 5 + if num_links >= 10: return 4 + if num_links >= 5: return 3 + return 2 + + return 1 # Fallback + +def main(): + raw_files = glob.glob(os.path.join(RAW_DIR, "*.json")) + print(f"Found {len(raw_files)} raw models.") + + for raw_path in raw_files: + filename = os.path.basename(raw_path) + name = os.path.splitext(filename)[0] + + # Read raw model + with open(raw_path, 'r', encoding='utf-8') as f: + raw_data = json.load(f) + + score = get_difficulty(filename, raw_data) + print(f"[{name}] Difficulty: {score}") + + # Update meta file + meta_path = os.path.join(META_DIR, filename) + if os.path.exists(meta_path): + with open(meta_path, 'r', encoding='utf-8') as f: + meta_data = json.load(f) + + meta_data["difficulty"] = score + + with open(meta_path, 'w', encoding='utf-8') as f: + json.dump(meta_data, f, indent=2) + else: + print(f"Warning: Meta file for {name} not found.") + +if __name__ == "__main__": + main() diff --git a/tools/generate_gt.py b/tools/generate_gt.py new file mode 100644 index 0000000000000000000000000000000000000000..95b798d2a13624364e297cc2fb9d2a4a39c3424c --- /dev/null +++ b/tools/generate_gt.py @@ -0,0 +1,103 @@ +import sys +import os +import json +from pathlib import Path + +# 把项目根目录加到 path，方便 import src +sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))) + +from src.solver_bridge import TrussSolver +from src.data_loader import BenchmarkDataLoader + +def get_difficulty(filename, data): + name = os.path.splitext(filename)[0] + + # User explicit overrides (Legacy) + if name == "frame_010": return 5 + if name in ["beam_003", "beam_004", "beam_005"]: return 1 + if name in ["beam_001", "beam_002"]: return 2 + + # Heuristics for new files + links = data.get("links", []) + num_links = len(links) + + if "beam" in name: + # Check for hinges + has_hinge = False + for l in links: + if l.get("endA") == "hinge" or l.get("endB") == "hinge": + has_hinge = True + break + return 2 if has_hinge else 1 + + if "truss" in name: + if num_links > 20: return 4 + if num_links > 10: return 3 + return 2 + + if "frame" in name: + if num_links >= 14: return 5 + if num_links >= 10: return 4 + if num_links >= 5: return 3 + return 2 + + return 1 # Fallback + +def main(): + print("=== Generating Ground Truth Metadata ===") + + # 1. 初始化 + loader = BenchmarkDataLoader() + solver = TrussSolver("bin/framecalc.wasm") # 确保路径对 + + raw_models = loader.load_raw_models() + if not raw_models: + print("No raw models found in data/raw_models/") + return + + # 确保 meta 目录存在 + loader.meta_dir.mkdir(parents=True, exist_ok=True) + + count = 0 + for model_info in raw_models: + print(f"Processing {model_info['id']}...") + + # 读取 5KB 的大 JSON + with open(model_info['path'], 'r', encoding='utf-8') as f: + full_json = json.load(f) + + # 跑 Solver 算出真值 + # 注意：这里假设 raw json 的格式直接就是 solver 能吃的格式 + # 如果 raw json 包含编辑器杂质，需要这里做一次 cleaning + solution, error = solver.solve(full_json) + + if error or not solution: + print(f"❌ Failed to solve {model_info['id']}. Error: {error}") + continue + + # 智能判断图片后缀 + img_name = f"{model_info['id']}.png" + if not (loader.img_dir / img_name).exists(): + if (loader.img_dir / f"{model_info['id']}.jpg").exists(): + img_name = f"{model_info['id']}.jpg" + + # 构造 Meta 数据 + meta_data = { + "id": model_info['id'], + "difficulty": get_difficulty(model_info['filename'], full_json), + "image_filename": img_name, + "solution": solution # 缓存正确答案 + } + + # 写入 Meta 文件 + out_path = loader.meta_dir / model_info['filename'] + with open(out_path, 'w', encoding='utf-8') as f: + json.dump(meta_data, f, indent=2) + + print(f"✅ Saved meta to {out_path} (Diff: {meta_data['difficulty']})") + count += 1 + + print(f"\nDone. Generated {count} GT files.") + +if __name__ == "__main__": + main() \ No newline at end of file