78230b7b38
- Eliminated unnecessary warnings suppression related to multiprocessing resource tracking in `run.py` and `run_parallel_simulation.py`, streamlining the code and reducing potential confusion. - This change enhances clarity in logging by allowing relevant warnings to be displayed during execution, improving traceability and debugging capabilities.
61 lines
2.2 KiB
Python
61 lines
2.2 KiB
Python
"""
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MiroFish Backend 启动入口
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"""
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import os
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import sys
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# 添加项目根目录到路径
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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from app import create_app
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from app.config import Config
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def main():
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"""主函数"""
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# 验证配置
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errors = Config.validate()
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if errors:
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print("配置错误:")
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for err in errors:
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print(f" - {err}")
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print("\n请检查 .env 文件中的配置")
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sys.exit(1)
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# 创建应用
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app = create_app()
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# 获取运行配置
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host = os.environ.get('FLASK_HOST', '0.0.0.0')
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port = int(os.environ.get('FLASK_PORT', 5001))
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debug = Config.DEBUG
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# 只在 reloader 子进程中打印启动信息（避免 debug 模式下打印两次）
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# WERKZEUG_RUN_MAIN=true 表示当前是 reloader 启动的子进程
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is_reloader_process = os.environ.get('WERKZEUG_RUN_MAIN') == 'true'
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if not debug or is_reloader_process:
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print(f"""
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╔══════════════════════════════════════════════════╗
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║ MiroFish Backend Server ║
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╠══════════════════════════════════════════════════╣
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║ Running on: http://{host}:{port} ║
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║ Debug mode: {debug} ║
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║ ║
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║ API Endpoints: ║
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║ POST /api/graph/ontology/generate - 生成本体 ║
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║ POST /api/graph/build - 构建图谱 ║
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║ GET /api/graph/task/<task_id> - 查询任务 ║
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║ GET /api/graph/tasks - 列出任务 ║
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║ GET /api/graph/data/<graph_id> - 获取图数据║
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║ DELETE /api/graph/delete/<graph_id>- 删除图谱 ║
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╚══════════════════════════════════════════════════╝
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""")
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# 启动服务
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app.run(host=host, port=port, debug=debug, threaded=True)
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if __name__ == '__main__':
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main()
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