MiroFish/backend/run.py
666ghj e98da6b53e Enhance backend startup logging and API endpoint display
- Updated `run.py` to conditionally print startup information only in the reloader process to avoid duplicate logs in debug mode.
- Modified `__init__.py` to log startup and completion messages based on the reloader process condition.
- Added warnings suppression in `graph_builder.py` for Pydantic v2 regarding Field usage.
- Revised `ontology_generator.py` to enforce strict design guidelines for entity types and relationships, ensuring compliance with new requirements.
- Improved logging behavior in `logger.py` to prevent log propagation to the root logger, avoiding duplicate outputs.
2025-11-28 18:59:36 +08:00

61 lines
2.2 KiB
Python

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