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from __future__ import annotations
import asyncio
import logging
import os
import signal
import subprocess
import sys
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any
logger = logging.getLogger(__name__)
WORKSPACE_ROOT = Path(__file__).resolve().parents[4]
WEB_ROOT = WORKSPACE_ROOT / "web_development"
FRONTEND_DIR = WEB_ROOT / "frontend"
@dataclass
class ServiceSpec:
id: str
name: str
description: str
kind: str # embedded | process
port: int | None = None
url: str | None = None
tags: list[str] = field(default_factory=list)
@dataclass
class ServiceStatus:
id: str
name: str
description: str
kind: str
status: str # running | stopped | error | unavailable
port: int | None = None
url: str | None = None
pid: int | None = None
message: str = ""
tags: list[str] = field(default_factory=list)
def to_dict(self) -> dict[str, Any]:
return {
"id": self.id,
"name": self.name,
"description": self.description,
"kind": self.kind,
"status": self.status,
"port": self.port,
"url": self.url,
"pid": self.pid,
"message": self.message,
"tags": self.tags,
}
SERVICE_CATALOG: list[ServiceSpec] = [
ServiceSpec(
id="trading_api",
name="期货交易 API",
description="FastAPI 后端：行情、下单、持仓、期货策略回测",
kind="embedded",
port=8000,
url="http://localhost:8000/docs",
tags=["futures", "core"],
),
ServiceSpec(
id="market_data",
name="行情推送",
description="模拟/实时行情 WebSocket 与 K 线生成",
kind="embedded",
tags=["futures", "market"],
),
ServiceSpec(
id="futures_strategies",
name="期货量化策略",
description="MA/Bollinger/DualThrust 策略引擎",
kind="embedded",
tags=["futures", "strategy"],
),
ServiceSpec(
id="qlib_research",
name="Qlib 因子研究",
description="因子公式库、算子构建、单因子 IC/回测、A 股策略",
kind="embedded",
tags=["research", "qlib", "stock"],
),
ServiceSpec(
id="frontend_ui",
name="Web 可视化前端",
description="Vue3 仪表盘、K 线、交易、研究面板",
kind="process",
port=5173,
url="http://localhost:5173",
tags=["ui"],
),
]
class PlatformManager:
def __init__(self):
self._processes: dict[str, subprocess.Popen] = {}
self._qlib_research_enabled = False
self._market_data_running = False
self._futures_strategies_enabled = True
def _spec(self, service_id: str) -> ServiceSpec:
for s in SERVICE_CATALOG:
if s.id == service_id:
return s
raise KeyError(f"Unknown service: {service_id}")
def list_services(self) -> list[ServiceStatus]:
return [self.get_status(s.id) for s in SERVICE_CATALOG]
def get_status(self, service_id: str) -> ServiceStatus:
spec = self._spec(service_id)
if service_id == "trading_api":
return ServiceStatus(
id=spec.id, name=spec.name, description=spec.description, kind=spec.kind,
status="running", port=spec.port, url=spec.url, message="当前进程即 Trading API",
tags=spec.tags,
)
if service_id == "market_data":
from app.services.market_data import market_data_service
running = market_data_service._running
return ServiceStatus(
id=spec.id, name=spec.name, description=spec.description, kind=spec.kind,
status="running" if running else "stopped",
message="行情 WebSocket 推送" if running else "已停止",
tags=spec.tags,
)
if service_id == "futures_strategies":
from app.services.strategy_engine import strategy_engine
n = len(strategy_engine._tasks)
return ServiceStatus(
id=spec.id, name=spec.name, description=spec.description, kind=spec.kind,
status="running" if self._futures_strategies_enabled else "stopped",
message=f"策略引擎就绪，{n} 个策略运行中",
tags=spec.tags,
)
if service_id == "qlib_research":
return ServiceStatus(
id=spec.id, name=spec.name, description=spec.description, kind=spec.kind,
status="running" if self._qlib_research_enabled else "stopped",
url="/api/research/health",
message="Qlib 因子/策略研究模块" if self._qlib_research_enabled else "未启动（按需加载 qlib）",
tags=spec.tags,
)
if service_id == "frontend_ui":
proc = self._processes.get("frontend_ui")
if proc and proc.poll() is None:
return ServiceStatus(
id=spec.id, name=spec.name, description=spec.description, kind=spec.kind,
status="running", port=spec.port, url=spec.url, pid=proc.pid,
message="Vue dev server", tags=spec.tags,
)
return ServiceStatus(
id=spec.id, name=spec.name, description=spec.description, kind=spec.kind,
status="stopped", port=spec.port, url=spec.url,
message="前端未启动", tags=spec.tags,
)
return ServiceStatus(
id=spec.id, name=spec.name, description=spec.description, kind=spec.kind,
status="unavailable", message="Unknown service", tags=spec.tags,
)
async def start(self, service_id: str) -> ServiceStatus:
spec = self._spec(service_id)
if service_id == "trading_api":
return self.get_status(service_id)
if service_id == "market_data":
from app.services.market_data import market_data_service
if not market_data_service._running:
await market_data_service.start()
self._market_data_running = True
return self.get_status(service_id)
if service_id == "futures_strategies":
self._futures_strategies_enabled = True
return self.get_status(service_id)
if service_id == "qlib_research":
if str(WORKSPACE_ROOT) not in sys.path:
sys.path.insert(0, str(WORKSPACE_ROOT))
os.environ.setdefault("MLFLOW_ALLOW_FILE_STORE", "true")
from data_pipeline.init_qlib import init_qlib
loop = asyncio.get_event_loop()
await loop.run_in_executor(None, init_qlib)
self._qlib_research_enabled = True
logger.info("Qlib research module enabled")
return self.get_status(service_id)
if service_id == "frontend_ui":
proc = self._processes.get("frontend_ui")
if proc and proc.poll() is None:
return self.get_status(service_id)
if not FRONTEND_DIR.exists():
raise FileNotFoundError(f"Frontend not found: {FRONTEND_DIR}")
proc = subprocess.Popen(
["npm", "run", "dev", "--", "--host", "0.0.0.0", "--port", "5173"],
cwd=str(FRONTEND_DIR),
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
start_new_session=True,
)
self._processes["frontend_ui"] = proc
await asyncio.sleep(2)
return self.get_status(service_id)
raise ValueError(f"Cannot start service: {service_id}")
async def stop(self, service_id: str) -> ServiceStatus:
if service_id == "market_data":
from app.services.market_data import market_data_service
await market_data_service.stop()
self._market_data_running = False
return self.get_status(service_id)
if service_id == "futures_strategies":
from app.services.strategy_engine import strategy_engine
for sid in list(strategy_engine._tasks.keys()):
strategy_engine.stop_strategy(sid)
self._futures_strategies_enabled = False
return self.get_status(service_id)
if service_id == "qlib_research":
self._qlib_research_enabled = False
return self.get_status(service_id)
if service_id == "frontend_ui":
proc = self._processes.get("frontend_ui")
if proc and proc.poll() is None:
os.killpg(os.getpgid(proc.pid), signal.SIGTERM)
proc.wait(timeout=5)
self._processes.pop("frontend_ui", None)
return self.get_status(service_id)
if service_id == "trading_api":
return ServiceStatus(
**self.get_status(service_id).to_dict(),
message="Trading API 由 uvicorn 管理，请停止 uvicorn 进程",
)
raise ValueError(f"Cannot stop service: {service_id}")
async def start_all(self) -> list[ServiceStatus]:
results = []
for spec in SERVICE_CATALOG:
if spec.id == "trading_api":
results.append(self.get_status(spec.id))
continue
try:
results.append(await self.start(spec.id))
except Exception as exc:
st = self.get_status(spec.id)
st.status = "error"
st.message = str(exc)
results.append(st)
return results
@property
def qlib_research_enabled(self) -> bool:
return self._qlib_research_enabled
platform_manager = PlatformManager()
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