trading/services/api_gateway/routes/backtest.py

"""Backtest endpoints — run backtests and retrieve results."""

from __future__ import annotations

import asyncio
import json
import logging
import uuid
from datetime import datetime, timezone

from fastapi import APIRouter, Depends, HTTPException, Query, Request, status
from pydantic import BaseModel, Field

from services.api_gateway.auth.middleware import get_current_user

logger = logging.getLogger(__name__)

router = APIRouter(prefix="/api/backtest", tags=["backtest"])


class BacktestRequest(BaseModel):
    """Request body for starting a new backtest."""

    start_date: datetime
    end_date: datetime
    initial_capital: float = Field(default=100_000.0, gt=0)
    commission_per_trade: float = Field(default=0.0, ge=0)
    slippage_pct: float = Field(default=0.001, ge=0)
    strategy_weights: dict[str, float] = Field(default_factory=dict)
    max_position_pct: float = Field(default=0.05, gt=0, le=1.0)
    signal_threshold: float = Field(default=0.3, ge=0, le=1.0)


@router.post("/run")
async def run_backtest(
    body: BacktestRequest,
    request: Request,
    _user: dict = Depends(get_current_user),
) -> dict:
    """Start a backtest with the given configuration.

    Returns a ``run_id`` immediately.  The backtest runs in a background
    task and its results can be retrieved via ``GET /api/backtest/{run_id}``.
    """
    run_id = str(uuid.uuid4())
    redis = request.app.state.redis

    # Store initial status
    await redis.setex(
        f"backtest:{run_id}",
        86400,  # 24h TTL
        json.dumps({
            "status": "running",
            "config": body.model_dump(mode="json"),
            "started_at": datetime.now(tz=timezone.utc).isoformat(),
        }),
    )

    # Launch background task
    asyncio.create_task(_run_backtest_task(run_id, body, redis))

    return {"run_id": run_id, "status": "running"}


async def _run_backtest_task(
    run_id: str,
    config: BacktestRequest,
    redis,
) -> None:
    """Execute the backtest in the background and store results in Redis."""
    try:
        from backtester.config import BacktestConfig
        from backtester.engine import BacktestEngine
        from shared.strategies.momentum import MomentumStrategy
        from shared.strategies.mean_reversion import MeanReversionStrategy
        from shared.strategies.news_driven import NewsDrivenStrategy

        bt_config = BacktestConfig(
            start_date=config.start_date,
            end_date=config.end_date,
            initial_capital=config.initial_capital,
            commission_per_trade=config.commission_per_trade,
            slippage_pct=config.slippage_pct,
            strategy_weights=config.strategy_weights,
            max_position_pct=config.max_position_pct,
            signal_threshold=config.signal_threshold,
        )

        strategies = [
            MomentumStrategy(),
            MeanReversionStrategy(),
            NewsDrivenStrategy(),
        ]

        engine = BacktestEngine(config=bt_config, strategies=strategies)

        # Use an empty data loader for now; a full implementation
        # would load historical bars from TimescaleDB.
        from backtester.data_loader import BacktestDataLoader

        data_loader = BacktestDataLoader(bars=[], sentiments=[])

        result = await engine.run(data_loader)

        await redis.setex(
            f"backtest:{run_id}",
            86400,
            json.dumps({
                "status": "completed",
                "config": config.model_dump(mode="json"),
                "result": {
                    "total_return": result.total_return,
                    "annualized_return": result.annualized_return,
                    "sharpe_ratio": result.sharpe_ratio,
                    "sortino_ratio": result.sortino_ratio,
                    "max_drawdown_pct": result.max_drawdown_pct,
                    "max_drawdown_duration_days": result.max_drawdown_duration_days,
                    "win_rate": result.win_rate,
                    "avg_win_loss_ratio": result.avg_win_loss_ratio,
                    "trade_count": result.trade_count,
                    "avg_hold_duration_seconds": result.avg_hold_duration.total_seconds(),
                },
                "completed_at": datetime.now(tz=timezone.utc).isoformat(),
            }),
        )
    except Exception as exc:
        logger.exception("Backtest %s failed", run_id)
        await redis.setex(
            f"backtest:{run_id}",
            86400,
            json.dumps({
                "status": "failed",
                "error": str(exc),
            }),
        )


@router.get("/{run_id}")
async def get_backtest(
    run_id: str,
    request: Request,
    _user: dict = Depends(get_current_user),
) -> dict:
    """Get backtest results by run ID."""
    redis = request.app.state.redis
    raw = await redis.get(f"backtest:{run_id}")
    if raw is None:
        raise HTTPException(
            status_code=status.HTTP_404_NOT_FOUND,
            detail="Backtest run not found",
        )
    return json.loads(raw)