Files
group_fqcd_jr/app/worker/__main__.py
T

126 lines
5.5 KiB
Python

import argparse
import asyncio
import logging
from typing import Any
from app.core.config import get_settings
from app.core.errors import RecoverableAgentError
from app.infrastructure.db import engine
from app.infrastructure.milvus_profile_projection import MilvusProfileProjection
from app.infrastructure.neo4j_profile_projection import Neo4jProfileProjection
from app.service.agent.bootstrap import get_memory_embedding_service, get_relationship_service
from app.service.model_gateway import DatabaseModelEndpointResolver
from app.service.projection_cleanup_service import ProjectionCleanupService
from app.worker.memory_sync_outbox_worker import MemorySyncOutboxWorker
from app.worker.offsite_mail_worker import OffsiteMailWorker
from app.worker.runtime import WorkerRuntime
logger = logging.getLogger(__name__)
async def serve(*, once: bool = False) -> None:
settings = get_settings()
relationships = get_relationship_service()
# 在**组装层**注入投影删除客户端:记忆失效/销户时清理图库与向量库里的派生数据。
# 放在这里而不是 runtime 内部兜底,是为了保留"未注入即显式降级并留痕"的语义
# (有单测守着这一点),也让"生产装配了什么"在入口处一眼可见。
# 该服务返回自己模块里的 ProjectionCleanupOutcome(字段与 runtime 的同名结构一致),
# 结构化契约成立但名义类型不同,故显式忽略:为此把结构体抽到共享模块会造成
# service 与 worker 两个层次互相导入,不值得。
runtime = WorkerRuntime(
settings=settings,
relationships=relationships,
projection_cleaner=ProjectionCleanupService( # type: ignore[arg-type]
relationships=relationships
),
)
# 画像投影是 MySQL 审核结果的异步派生写入;任一外部存储未配置时保持事件 pending。
neo4j_driver: Any | None = None
milvus_client: Any | None = None
memory_sync_handlers: dict[str, Any] = {}
if settings.neo4j_password:
from neo4j import AsyncGraphDatabase
neo4j_driver = AsyncGraphDatabase.driver(
settings.neo4j_uri,
auth=(settings.neo4j_username, settings.neo4j_password),
)
memory_sync_handlers["neo4j"] = Neo4jProfileProjection(neo4j_driver).upsert
else:
logger.warning("Neo4j password not configured; profile projection remains pending")
if settings.resolved_milvus_uri and settings.knowledge_embedding_endpoint_code:
from pymilvus import AsyncMilvusClient # type: ignore[import-untyped]
milvus_client = AsyncMilvusClient(
uri=settings.resolved_milvus_uri,
token=settings.milvus_token or None,
)
async def embed_profile(text: str) -> list[float]:
endpoints = await DatabaseModelEndpointResolver().resolve(
agent_type="memory_projection", task_type="embedding"
)
if not endpoints:
raise RecoverableAgentError("没有可用的 embedding 端点")
return (await get_memory_embedding_service().embed(endpoints, text)).vector
memory_sync_handlers["milvus"] = MilvusProfileProjection(
milvus_client, embed_profile
).upsert
else:
logger.warning(
"Milvus profile projection not configured; profile projection remains pending"
)
memory_sync_worker = (
MemorySyncOutboxWorker(memory_sync_handlers) if memory_sync_handlers else None
)
# 场外收件 Worker 必须与底座 Worker 同进程同入口:2026-09-11 01:45 的一次批量
# 文件覆盖把这处接线删掉了,导致邮件 Worker 完全不再运行、邮箱无人收取。
offsite_worker = OffsiteMailWorker(settings)
try:
while True:
try:
worked = await runtime.run_once()
if memory_sync_worker is not None:
for target_store in ("neo4j", "milvus"):
worked = await memory_sync_worker.run_once(
target_store=target_store
) or worked
worked = await offsite_worker.run_once() or worked
except Exception:
# 常驻 Worker 不能因为"某一轮"的异常就整体退出:数据库抖动、
# 迁移期间锁表、外部依赖瞬断都会命中这里,而 `run_once` 里的
# 裸查询没有兜底。单轮失败记录堆栈后退避重试;`--once` 模式
# 保持抛出,便于诊断一次性运行的真实问题。
logger.warning("worker round failed; retrying after backoff", exc_info=True)
if once:
raise
await asyncio.sleep(settings.worker_poll_seconds)
continue
if once:
return
if not worked:
await asyncio.sleep(settings.worker_poll_seconds)
finally:
await offsite_worker.close()
if neo4j_driver is not None:
await neo4j_driver.close()
if milvus_client is not None:
await milvus_client.close()
await engine.dispose()
def main() -> None:
parser = argparse.ArgumentParser(description="Agent 底座独立 Worker")
parser.add_argument("--once", action="store_true", help="消费一次后退出")
args = parser.parse_args()
logging.basicConfig(level=get_settings().log_level)
try:
asyncio.run(serve(once=args.once))
except KeyboardInterrupt:
pass
if __name__ == "__main__":
main()