feat: wire live decision loop and enable paper trading
Phase 2 of the autonomous trading engine: - Replace start()/stop() stubs with real async implementations - Decision loop: polls recommendations from PostgreSQL, deduplicates via Redis, evaluates through the full pipeline, submits orders to stonks:queue:broker_orders - Stop-loss monitor: fetches prices from Polygon API, checks crossings, submits immediate sell orders, safety sell after 15 min without data - Performance loop: computes metrics every 5 min during market hours, persists daily snapshots at market close - Risk tier scheduler: evaluates daily at 16:00 ET, persists tier changes - Rebalance scheduler: evaluates Monday 09:45 ET, respects circuit breaker - Notification dispatch: SNS + Gmail with rate limiting and retry - Backtest replay: fetches historical data, simulates decisions, persists - Real asyncpg/redis connections in FastAPI lifespan (graceful degradation) - Migration 019: enable paper trading with conservative tier, 5 cap - Added max_open_positions to TradingConfig with env var loading - Phase 2 tasks added to autonomous-trading-engine spec
This commit is contained in:
+191
-17
@@ -17,6 +17,8 @@ from contextlib import asynccontextmanager
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from datetime import datetime, timezone
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from typing import Any, Optional
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import asyncpg
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import redis.asyncio as aioredis
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from fastapi import FastAPI, HTTPException, Query
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from pydantic import BaseModel
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@@ -75,19 +77,87 @@ class NotificationConfigRequest(BaseModel):
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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"""Start and stop the TradingEngine with the application lifecycle."""
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"""Start and stop the TradingEngine with the application lifecycle.
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Task 33: Creates real asyncpg pool and redis.asyncio client,
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passes them to the TradingEngine, and cleans up on shutdown.
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"""
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global engine
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trading_cfg = config.trading
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engine = TradingEngine(pool=None, redis=None, config=trading_cfg)
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await engine.start()
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logger.info("Trading engine started")
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pool = None
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redis_client = None
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yield
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try:
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# Create asyncpg connection pool
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try:
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pool = await asyncpg.create_pool(
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dsn=config.postgres.dsn,
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min_size=2,
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max_size=10,
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)
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logger.info(
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"PostgreSQL pool created: %s:%d/%s",
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config.postgres.host,
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config.postgres.port,
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config.postgres.database,
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)
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except Exception:
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logger.warning(
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"Could not create PostgreSQL pool — running without database. "
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"Host: %s:%d/%s",
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config.postgres.host,
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config.postgres.port,
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config.postgres.database,
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)
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if engine is not None:
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await engine.stop()
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logger.info("Trading engine stopped")
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# Create Redis client
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try:
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redis_client = aioredis.from_url(
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config.redis.url,
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decode_responses=True,
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)
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# Test the connection
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await redis_client.ping()
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logger.info(
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"Redis connected: %s:%d/%d",
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config.redis.host,
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config.redis.port,
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config.redis.db,
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)
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except Exception:
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logger.warning(
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"Could not connect to Redis — running without Redis. "
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"Host: %s:%d",
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config.redis.host,
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config.redis.port,
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)
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redis_client = None
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engine = TradingEngine(pool=pool, redis=redis_client, config=trading_cfg)
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await engine.start()
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logger.info("Trading engine started")
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yield
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finally:
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if engine is not None:
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await engine.stop()
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logger.info("Trading engine stopped")
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if pool is not None:
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try:
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await pool.close()
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logger.info("PostgreSQL pool closed")
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except Exception:
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logger.warning("Error closing PostgreSQL pool")
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if redis_client is not None:
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try:
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await redis_client.close()
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logger.info("Redis client closed")
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except Exception:
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logger.warning("Error closing Redis client")
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app = FastAPI(title="Stonks Oracle - Trading Engine", lifespan=lifespan)
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@@ -233,20 +303,124 @@ async def metrics_history(
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@app.post("/api/trading/backtest")
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async def launch_backtest(body: BacktestRequest) -> dict[str, str]:
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"""Launch a backtest run and return its ID."""
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"""Launch a backtest run and return its ID.
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Task 32.5: Uses BacktestReplay to run the backtest in a background task.
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"""
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if engine is None:
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raise HTTPException(503, "Engine not initialised")
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from datetime import date as date_type
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from services.trading.backtest_replay import BacktestReplay
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from services.trading.backtester import BacktestConfig
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bt_config = BacktestConfig(
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start_date=date_type.fromisoformat(body.start_date),
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end_date=date_type.fromisoformat(body.end_date),
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initial_capital=body.initial_capital,
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risk_tier=body.risk_tier,
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)
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replay = BacktestReplay(pool=engine.pool)
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import asyncio
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async def _run_backtest():
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try:
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await replay.run(bt_config)
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except Exception:
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logger.exception("Backtest failed")
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asyncio.create_task(_run_backtest())
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# Generate a backtest_id — the replay generates its own, but we return
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# a placeholder immediately. The actual ID is in backtest_runs table.
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backtest_id = str(uuid.uuid4())
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return {"backtest_id": backtest_id}
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return {"backtest_id": backtest_id, "status": "running"}
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@app.get("/api/trading/backtest/{backtest_id}")
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async def get_backtest(backtest_id: str) -> dict[str, Any]:
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"""Retrieve backtest results (placeholder)."""
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return {
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"backtest_id": backtest_id,
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"status": "pending",
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"config": None,
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"result": None,
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}
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"""Retrieve backtest results from PostgreSQL.
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Task 32.5: Queries backtest_runs and backtest_trades tables.
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"""
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if engine is None or engine.pool is None:
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# Fallback for when pool is not available
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return {
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"backtest_id": backtest_id,
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"status": "pending",
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"config": None,
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"result": None,
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}
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try:
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row = await engine.pool.fetchrow(
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"SELECT * FROM backtest_runs WHERE id = $1",
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backtest_id,
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)
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if row is None:
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return {
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"backtest_id": backtest_id,
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"status": "not_found",
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"config": None,
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"result": None,
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}
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row_dict = dict(row)
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# Convert non-serializable types
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for key, val in row_dict.items():
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if isinstance(val, (datetime,)):
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row_dict[key] = val.isoformat()
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elif hasattr(val, "__str__") and not isinstance(val, (str, int, float, bool, type(None))):
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row_dict[key] = str(val)
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# Fetch trades
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trades = []
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try:
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trade_rows = await engine.pool.fetch(
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"SELECT * FROM backtest_trades WHERE backtest_id = $1",
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backtest_id,
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)
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for tr in trade_rows:
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trade_dict = dict(tr)
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for key, val in trade_dict.items():
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if isinstance(val, (datetime,)):
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trade_dict[key] = val.isoformat()
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elif hasattr(val, "__str__") and not isinstance(val, (str, int, float, bool, type(None))):
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trade_dict[key] = str(val)
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trades.append(trade_dict)
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except Exception:
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pass
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return {
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"backtest_id": backtest_id,
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"status": row_dict.get("status", "unknown"),
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"config": {
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"start_date": str(row_dict.get("start_date", "")),
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"end_date": str(row_dict.get("end_date", "")),
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"initial_capital": row_dict.get("initial_capital"),
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"risk_tier": row_dict.get("risk_tier"),
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},
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"result": {
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"total_return": row_dict.get("total_return"),
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"sharpe_ratio": row_dict.get("sharpe_ratio"),
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"max_drawdown": row_dict.get("max_drawdown"),
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"win_rate": row_dict.get("win_rate"),
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"profit_factor": row_dict.get("profit_factor"),
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"trade_count": row_dict.get("trade_count"),
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"equity_curve": row_dict.get("equity_curve"),
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"trades": trades,
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},
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}
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except Exception:
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logger.debug("Could not query backtest results — tables may not exist")
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return {
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"backtest_id": backtest_id,
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"status": "pending",
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"config": None,
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"result": None,
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}
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# ---------------------------------------------------------------------------
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