feat: 添加AI记忆模块和事件调度系统 - 新增AI记忆模块,支持本地记忆召回和自动写入功能 - 实现事件调度系统,支持批量处理待定事件和重试机制 - 集成心跳监控机制,跟踪API、调度器和工作节点状态 - 扩展仪表板数据统计,包含AI记忆条目和心跳概要 - 添加企业运营分析报告功能,提供财务、采购等多维度分析 - 更新配置设置,增加事件调度和AI记忆相关参数 - 优化任务队列,添加事件分发任务类型 - 扩展审计日志,记录AI记忆操作和事件调度行为 - 实现领域事件模型,支持事件持久化和状态管理 - 添加观察性服务,监控系统组件健康状况 ```
67 lines
1.9 KiB
Python
67 lines
1.9 KiB
Python
from logging.config import fileConfig
|
|
|
|
from alembic import context
|
|
from sqlalchemy import engine_from_config, pool
|
|
|
|
from app.core.config import get_settings
|
|
from app.core.db_base import Base
|
|
from app.modules.ai_memory import models as ai_memory_models
|
|
from app.modules.audit import models as audit_models
|
|
from app.modules.business import models as business_models
|
|
from app.modules.events import models as event_models
|
|
from app.modules.feishu import models as feishu_models
|
|
from app.modules.observability import models as observability_models
|
|
from app.modules.workflows import models as workflow_models
|
|
|
|
config = context.config
|
|
|
|
if config.config_file_name is not None:
|
|
fileConfig(config.config_file_name)
|
|
|
|
target_metadata = Base.metadata
|
|
settings = get_settings()
|
|
|
|
# Keep imports referenced so SQLAlchemy model classes register with Base.metadata.
|
|
_REGISTERED_MODEL_MODULES = (
|
|
ai_memory_models,
|
|
audit_models,
|
|
business_models,
|
|
event_models,
|
|
feishu_models,
|
|
observability_models,
|
|
workflow_models,
|
|
)
|
|
|
|
|
|
def run_migrations_offline() -> None:
|
|
context.configure(
|
|
url=settings.database_url,
|
|
target_metadata=target_metadata,
|
|
literal_binds=True,
|
|
dialect_opts={"paramstyle": "named"},
|
|
)
|
|
|
|
with context.begin_transaction():
|
|
context.run_migrations()
|
|
|
|
|
|
def run_migrations_online() -> None:
|
|
configuration = config.get_section(config.config_ini_section, {})
|
|
configuration["sqlalchemy.url"] = settings.database_url
|
|
connectable = engine_from_config(
|
|
configuration,
|
|
prefix="sqlalchemy.",
|
|
poolclass=pool.NullPool,
|
|
)
|
|
|
|
with connectable.connect() as connection:
|
|
context.configure(connection=connection, target_metadata=target_metadata)
|
|
with context.begin_transaction():
|
|
context.run_migrations()
|
|
|
|
|
|
if context.is_offline_mode():
|
|
run_migrations_offline()
|
|
else:
|
|
run_migrations_online()
|