Files
company-ai-platform/app/core/task_queue.py
JiuContinent 0cda45238a ```
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
```
2026-07-09 17:26:19 +08:00

296 lines
8.8 KiB
Python

from collections.abc import Callable
from typing import Any
from app.core.config import get_settings
from app.modules.feishu.constants import FeishuReceiveIdType
TASK_PUSH_DAILY_BRIEF = "reports.push_daily_brief"
TASK_PUSH_PROJECT_WEEKLY = "reports.push_project_weekly"
TASK_GENERATE_RISK_EVENTS = "risks.generate_events"
TASK_SYNC_LEGACY_PROJECTS = "legacy.sync_projects"
TASK_SYNC_LEGACY_TASKS = "legacy.sync_tasks"
TASK_DISPATCH_PENDING_EVENTS = "events.dispatch_pending"
def dispatch_task(
task_name: str,
kwargs: dict[str, Any],
inline: Callable[[], Any],
) -> dict[str, Any]:
"""Dispatch a task through Celery when enabled, otherwise run inline."""
settings = get_settings()
if settings.task_queue_enabled:
from app.tasks import celery_app
async_result = celery_app.signature(task_name, kwargs=kwargs).apply_async()
return {
"queued": True,
"mode": "celery",
"task_name": task_name,
"task_id": async_result.id,
}
return {
"queued": False,
"mode": "inline",
"task_name": task_name,
"result": inline(),
}
def enqueue_daily_brief_push(
receive_id: str | None = None,
receive_id_type: str = FeishuReceiveIdType.CHAT_ID,
actor: str = "scheduler",
) -> dict[str, Any]:
settings = get_settings()
if settings.task_queue_enabled:
from app.core.database import SessionLocal
from app.modules.reports.constants import ReportPushStatus, ReportTitle, ReportType
from app.modules.reports.service import ReportService
from app.tasks import celery_app
db = SessionLocal()
try:
push_run = ReportService(db).create_push_run(
report_type=ReportType.DAILY,
title=ReportTitle.DAILY_BRIEF,
receive_id=receive_id,
receive_id_type=receive_id_type,
actor=actor,
status=ReportPushStatus.QUEUED,
)
async_result = celery_app.signature(
TASK_PUSH_DAILY_BRIEF,
kwargs={
"receive_id": receive_id,
"receive_id_type": receive_id_type,
"actor": actor,
"push_run_code": push_run.code,
},
).apply_async()
ReportService(db).update_push_run(
push_run.code,
ReportPushStatus.QUEUED,
task_id=async_result.id,
)
finally:
db.close()
return {
"queued": True,
"mode": "celery",
"task_name": TASK_PUSH_DAILY_BRIEF,
"task_id": async_result.id,
"push_run_code": push_run.code,
}
def inline() -> Any:
from app.core.database import SessionLocal
from app.modules.reports.service import ReportService
db = SessionLocal()
try:
report = ReportService(db).daily_brief()
return ReportService(db).push_report(report, receive_id, receive_id_type, actor)
finally:
db.close()
return dispatch_task(
TASK_PUSH_DAILY_BRIEF,
{
"receive_id": receive_id,
"receive_id_type": receive_id_type,
"actor": actor,
},
inline,
)
def enqueue_project_weekly_push(
receive_id: str | None = None,
receive_id_type: str = FeishuReceiveIdType.CHAT_ID,
actor: str = "scheduler",
) -> dict[str, Any]:
settings = get_settings()
if settings.task_queue_enabled:
from app.core.database import SessionLocal
from app.modules.reports.constants import ReportPushStatus, ReportTitle, ReportType
from app.modules.reports.service import ReportService
from app.tasks import celery_app
db = SessionLocal()
try:
push_run = ReportService(db).create_push_run(
report_type=ReportType.WEEKLY,
title=ReportTitle.PROJECT_WEEKLY,
receive_id=receive_id,
receive_id_type=receive_id_type,
actor=actor,
status=ReportPushStatus.QUEUED,
)
async_result = celery_app.signature(
TASK_PUSH_PROJECT_WEEKLY,
kwargs={
"receive_id": receive_id,
"receive_id_type": receive_id_type,
"actor": actor,
"push_run_code": push_run.code,
},
).apply_async()
ReportService(db).update_push_run(
push_run.code,
ReportPushStatus.QUEUED,
task_id=async_result.id,
)
finally:
db.close()
return {
"queued": True,
"mode": "celery",
"task_name": TASK_PUSH_PROJECT_WEEKLY,
"task_id": async_result.id,
"push_run_code": push_run.code,
}
def inline() -> Any:
from app.core.database import SessionLocal
from app.modules.reports.service import ReportService
db = SessionLocal()
try:
report = ReportService(db).project_weekly()
return ReportService(db).push_report(report, receive_id, receive_id_type, actor)
finally:
db.close()
return dispatch_task(
TASK_PUSH_PROJECT_WEEKLY,
{
"receive_id": receive_id,
"receive_id_type": receive_id_type,
"actor": actor,
},
inline,
)
def enqueue_risk_event_generation(actor: str = "scheduler") -> dict[str, Any]:
def inline() -> Any:
from app.core.database import SessionLocal
from app.modules.risk.service import RiskService
db = SessionLocal()
try:
return RiskService(db).generate_events(actor=actor)
finally:
db.close()
return dispatch_task(
TASK_GENERATE_RISK_EVENTS,
{"actor": actor},
inline,
)
def enqueue_event_dispatch(
limit: int | None = None,
actor: str = "scheduler",
) -> dict[str, Any]:
def inline() -> Any:
from app.core.config import get_settings
from app.core.database import SessionLocal
from app.modules.events.service import EventService
db = SessionLocal()
try:
return EventService(db).dispatch_pending(
limit=limit or get_settings().event_dispatch_batch_size,
worker_id=actor,
)
finally:
db.close()
return dispatch_task(
TASK_DISPATCH_PENDING_EVENTS,
{"limit": limit, "actor": actor},
inline,
)
def enqueue_legacy_project_sync(
source_query: str | None = None,
source_query_name: str | None = None,
field_map: dict[str, str] | None = None,
limit: int = 100,
dry_run: bool = False,
actor: str = "scheduler",
) -> dict[str, Any]:
def inline() -> Any:
from app.core.database import SessionLocal
from app.modules.legacy_mysql.service import LegacyMySQLService
db = SessionLocal()
try:
return LegacyMySQLService(db).sync_projects(
source_query=source_query,
source_query_name=source_query_name,
field_map=field_map or {},
limit=limit,
dry_run=dry_run,
actor=actor,
)
finally:
db.close()
return dispatch_task(
TASK_SYNC_LEGACY_PROJECTS,
{
"source_query": source_query,
"source_query_name": source_query_name,
"field_map": field_map or {},
"limit": limit,
"dry_run": dry_run,
"actor": actor,
},
inline,
)
def enqueue_legacy_task_sync(
source_query: str | None = None,
source_query_name: str | None = None,
field_map: dict[str, str] | None = None,
limit: int = 100,
dry_run: bool = False,
actor: str = "scheduler",
) -> dict[str, Any]:
def inline() -> Any:
from app.core.database import SessionLocal
from app.modules.legacy_mysql.service import LegacyMySQLService
db = SessionLocal()
try:
return LegacyMySQLService(db).sync_tasks(
source_query=source_query,
source_query_name=source_query_name,
field_map=field_map or {},
limit=limit,
dry_run=dry_run,
actor=actor,
)
finally:
db.close()
return dispatch_task(
TASK_SYNC_LEGACY_TASKS,
{
"source_query": source_query,
"source_query_name": source_query_name,
"field_map": field_map or {},
"limit": limit,
"dry_run": dry_run,
"actor": actor,
},
inline,
)