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https://github.com/catlog22/Claude-Code-Workflow.git
synced 2026-03-30 20:21:09 +08:00
feat(discovery): enhance discovery index reading and issue exporting
- Improved the reading of the discovery index by adding a fallback mechanism to scan directories for discovery folders if the index.json is invalid or missing. - Added sorting of discoveries by creation time in descending order. - Enhanced the `appendToIssuesJsonl` function to include deduplication logic for issues based on ID and source finding ID. - Updated the discovery route handler to reflect the number of issues added and skipped during export. - Introduced UI elements for selecting and deselecting findings in the dashboard. - Added CSS styles for exported findings and action buttons. - Implemented search functionality for filtering findings based on title, file, and description. - Added internationalization support for new UI elements. - Created scripts for automated API extraction from various project types, including FastAPI and TypeScript. - Documented the API extraction process and library bundling instructions.
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270
.claude/skills/software-manual/scripts/extract_apis.py
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270
.claude/skills/software-manual/scripts/extract_apis.py
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#!/usr/bin/env python3
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"""
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API 文档提取脚本
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支持 FastAPI、TypeScript、Python 模块
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"""
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import subprocess
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import sys
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import json
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from pathlib import Path
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from typing import Dict, Any, Optional
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# 项目配置
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PROJECTS = {
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'backend': {
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'path': Path('D:/dongdiankaifa9/backend'),
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'type': 'fastapi',
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'entry': 'app.main:app',
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'output': 'api-docs/backend'
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},
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'frontend': {
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'path': Path('D:/dongdiankaifa9/frontend'),
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'type': 'typescript',
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'entries': ['lib', 'hooks', 'components'],
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'output': 'api-docs/frontend'
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},
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'hydro_generator_module': {
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'path': Path('D:/dongdiankaifa9/hydro_generator_module'),
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'type': 'python',
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'output': 'api-docs/hydro_generator'
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},
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'multiphysics_network': {
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'path': Path('D:/dongdiankaifa9/multiphysics_network'),
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'type': 'python',
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'output': 'api-docs/multiphysics'
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}
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}
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def extract_fastapi(name: str, config: Dict[str, Any], output_base: Path) -> bool:
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"""提取 FastAPI OpenAPI 文档"""
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path = config['path']
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output_dir = output_base / config['output']
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output_dir.mkdir(parents=True, exist_ok=True)
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# 添加路径到 sys.path
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if str(path) not in sys.path:
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sys.path.insert(0, str(path))
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try:
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# 动态导入 app
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from app.main import app
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# 获取 OpenAPI schema
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openapi_schema = app.openapi()
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# 保存 JSON
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json_path = output_dir / 'openapi.json'
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with open(json_path, 'w', encoding='utf-8') as f:
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json.dump(openapi_schema, f, indent=2, ensure_ascii=False)
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# 生成 Markdown 摘要
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md_path = output_dir / 'API_SUMMARY.md'
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generate_api_markdown(openapi_schema, md_path)
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endpoints = len(openapi_schema.get('paths', {}))
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print(f" ✓ Extracted {endpoints} endpoints → {output_dir}")
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return True
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except ImportError as e:
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print(f" ✗ Import error: {e}")
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return False
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except Exception as e:
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print(f" ✗ Error: {e}")
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return False
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def generate_api_markdown(schema: Dict, output_path: Path):
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"""从 OpenAPI schema 生成 Markdown"""
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lines = [
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f"# {schema.get('info', {}).get('title', 'API Reference')}",
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"",
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f"Version: {schema.get('info', {}).get('version', '1.0.0')}",
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"",
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"## Endpoints",
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"",
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"| Method | Path | Summary |",
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"|--------|------|---------|"
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]
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for path, methods in schema.get('paths', {}).items():
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for method, details in methods.items():
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if method in ('get', 'post', 'put', 'delete', 'patch'):
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summary = details.get('summary', details.get('operationId', '-'))
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lines.append(f"| `{method.upper()}` | `{path}` | {summary} |")
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lines.extend([
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"",
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"## Schemas",
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""
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])
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for name, schema_def in schema.get('components', {}).get('schemas', {}).items():
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lines.append(f"### {name}")
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lines.append("")
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if 'properties' in schema_def:
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lines.append("| Property | Type | Required |")
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lines.append("|----------|------|----------|")
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required = schema_def.get('required', [])
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for prop, prop_def in schema_def['properties'].items():
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prop_type = prop_def.get('type', prop_def.get('$ref', 'any'))
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is_required = '✓' if prop in required else ''
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lines.append(f"| `{prop}` | {prop_type} | {is_required} |")
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lines.append("")
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with open(output_path, 'w', encoding='utf-8') as f:
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f.write('\n'.join(lines))
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def extract_typescript(name: str, config: Dict[str, Any], output_base: Path) -> bool:
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"""提取 TypeScript 文档 (TypeDoc)"""
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path = config['path']
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output_dir = output_base / config['output']
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# 检查 TypeDoc 是否已安装
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try:
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result = subprocess.run(
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['npx', 'typedoc', '--version'],
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cwd=path,
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capture_output=True,
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text=True
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)
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if result.returncode != 0:
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print(f" ⚠ TypeDoc not installed, installing...")
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subprocess.run(
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['npm', 'install', '--save-dev', 'typedoc', 'typedoc-plugin-markdown'],
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cwd=path,
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check=True
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)
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except FileNotFoundError:
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print(f" ✗ npm/npx not found")
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return False
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# 运行 TypeDoc
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try:
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entries = config.get('entries', ['lib'])
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cmd = [
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'npx', 'typedoc',
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'--plugin', 'typedoc-plugin-markdown',
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'--out', str(output_dir),
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'--entryPointStrategy', 'expand',
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'--exclude', '**/node_modules/**',
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'--exclude', '**/*.test.*',
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'--readme', 'none'
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]
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for entry in entries:
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entry_path = path / entry
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if entry_path.exists():
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cmd.extend(['--entryPoints', str(entry_path)])
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result = subprocess.run(cmd, cwd=path, capture_output=True, text=True)
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if result.returncode == 0:
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print(f" ✓ TypeDoc generated → {output_dir}")
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return True
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else:
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print(f" ✗ TypeDoc error: {result.stderr[:200]}")
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return False
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except Exception as e:
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print(f" ✗ Error: {e}")
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return False
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def extract_python_module(name: str, config: Dict[str, Any], output_base: Path) -> bool:
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"""提取 Python 模块文档 (pdoc)"""
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path = config['path']
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output_dir = output_base / config['output']
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module_name = path.name
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# 检查 pdoc
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try:
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subprocess.run(['pdoc', '--version'], capture_output=True, check=True)
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except (FileNotFoundError, subprocess.CalledProcessError):
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print(f" ⚠ pdoc not installed, installing...")
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subprocess.run([sys.executable, '-m', 'pip', 'install', 'pdoc'], check=True)
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# 运行 pdoc
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try:
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result = subprocess.run(
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[
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'pdoc', module_name,
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'--output-dir', str(output_dir),
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'--format', 'markdown'
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],
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cwd=path.parent,
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capture_output=True,
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text=True
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)
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if result.returncode == 0:
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# 统计生成的文件
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md_files = list(output_dir.glob('**/*.md'))
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print(f" ✓ pdoc generated {len(md_files)} files → {output_dir}")
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return True
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else:
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print(f" ✗ pdoc error: {result.stderr[:200]}")
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return False
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except Exception as e:
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print(f" ✗ Error: {e}")
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return False
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EXTRACTORS = {
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'fastapi': extract_fastapi,
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'typescript': extract_typescript,
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'python': extract_python_module
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}
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def main(output_base: Optional[str] = None, projects: Optional[list] = None):
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"""主入口"""
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base = Path(output_base) if output_base else Path.cwd()
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print("=" * 50)
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print("API Documentation Extraction")
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print("=" * 50)
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results = {}
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for name, config in PROJECTS.items():
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if projects and name not in projects:
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continue
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print(f"\n[{name}] ({config['type']})")
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if not config['path'].exists():
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print(f" ✗ Path not found: {config['path']}")
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results[name] = False
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continue
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extractor = EXTRACTORS.get(config['type'])
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if extractor:
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results[name] = extractor(name, config, base)
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else:
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print(f" ✗ Unknown type: {config['type']}")
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results[name] = False
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# 汇总
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print("\n" + "=" * 50)
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print("Summary")
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print("=" * 50)
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success = sum(1 for v in results.values() if v)
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print(f"Success: {success}/{len(results)}")
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return all(results.values())
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if __name__ == '__main__':
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import argparse
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parser = argparse.ArgumentParser(description='Extract API documentation')
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parser.add_argument('--output', '-o', default='.', help='Output base directory')
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parser.add_argument('--projects', '-p', nargs='+', help='Specific projects to extract')
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args = parser.parse_args()
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success = main(args.output, args.projects)
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sys.exit(0 if success else 1)
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