036f533881
- agent_runtime: orchestrator、core/memory/schemas 调整 - agent_monitoring API、service、agent_llm_log 模型与 database 注册 - 前端 AgentDashboard、AgentConfig、Agents/MainLayout/路由与 AgentChat - 文档：(红头)项目核心文档汇总、自主AI Agent改造完成情况、AI agent改造计划 Made-with: Cursor
51 lines
1.4 KiB
Python
51 lines
1.4 KiB
Python
"""
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数据库配置
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"""
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from sqlalchemy import create_engine
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy.orm import sessionmaker
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from app.core.config import settings
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# 创建数据库引擎（MySQL）
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engine = create_engine(
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settings.DATABASE_URL,
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pool_pre_ping=True,
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pool_size=10,
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max_overflow=20,
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echo=settings.DEBUG # 开发环境显示SQL
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)
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# 创建会话工厂
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# expire_on_commit=False：commit 后仍可读取已加载标量，避免 FastAPI 在序列化 ExecutionResponse 时
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# 因会话已关闭而再次触发懒加载，从而出现「仅 HTTP 报 DATABASE_ERROR、TestClient 正常」的现象。
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SessionLocal = sessionmaker(
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autocommit=False, autoflush=False, bind=engine, expire_on_commit=False
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)
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# 创建基础模型类
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Base = declarative_base()
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def get_db():
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"""获取数据库会话"""
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db = SessionLocal()
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try:
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yield db
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finally:
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db.close()
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def init_db():
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"""初始化数据库，创建所有表"""
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# 导入所有模型，确保它们被注册
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import app.models.user
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import app.models.workflow
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import app.models.agent
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import app.models.execution
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import app.models.model_config
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import app.models.workflow_template
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import app.models.permission
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import app.models.alert_rule
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import app.models.agent_llm_log
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Base.metadata.create_all(bind=engine)
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