trading/services/api_gateway/routes/trades.py
Viktor Barzin d36ae40df1
feat: productionize local service — fix signal pipeline, lower thresholds, add company-name ticker extraction
- Point Ollama to local instance via host.docker.internal, use gemma3 model
- Remove Docker Ollama service (using host's Ollama instead)
- Add company-name-to-ticker mapping (Apple→AAPL, Tesla→TSLA, etc.) for RSS articles
- Lower signal thresholds for faster feedback with paper trading:
  - FinBERT confidence: 0.6→0.4, signal strength: 0.3→0.15
  - News strategy: article_count 2→1, confidence 0.5→0.3, score ±0.3→±0.15
- Fix market data BarSet access bug (BarSet.__contains__ returns False incorrectly)
- Fix market data SIP feed error by switching to IEX feed for free Alpaca accounts
- Fix nginx proxy routing for /api/auth/* to api-gateway /auth/*
- Add seed_sample_data script
- Update tests for new thresholds and alpaca mock modules
2026-02-22 22:17:26 +00:00

137 lines
5.1 KiB
Python

"""Trade endpoints — paginated trade history and detail."""
from __future__ import annotations
from datetime import datetime
from uuid import UUID
from fastapi import APIRouter, Depends, HTTPException, Query, Request, status
from services.api_gateway.auth.middleware import get_current_user
from sqlalchemy import select, desc, func
router = APIRouter(prefix="/api/trades", tags=["trades"])
@router.get("")
async def list_trades(
request: Request,
_user: dict = Depends(get_current_user),
ticker: str | None = Query(default=None),
start_date: datetime | None = Query(default=None),
end_date: datetime | None = Query(default=None),
date_from: datetime | None = Query(default=None),
date_to: datetime | None = Query(default=None),
strategy: str | None = Query(default=None),
profitable: bool | None = Query(default=None),
page: int = Query(default=1, ge=1),
per_page: int = Query(default=20, ge=1, le=100),
page_size: int | None = Query(default=None, ge=1, le=100),
) -> dict:
"""Paginated trade history with optional filters."""
from shared.models.trading import Trade, Strategy
# Accept both parameter naming conventions
effective_per_page = page_size if page_size is not None else per_page
effective_start = start_date or date_from
effective_end = end_date or date_to
db = request.app.state.db_session_factory
async with db() as session:
query = (
select(Trade, Strategy.name.label("strategy_name"))
.outerjoin(Strategy, Trade.strategy_id == Strategy.id)
.order_by(desc(Trade.created_at))
)
count_query = select(func.count()).select_from(Trade)
# Apply filters
if ticker:
query = query.where(Trade.ticker == ticker.upper())
count_query = count_query.where(Trade.ticker == ticker.upper())
if effective_start:
query = query.where(Trade.created_at >= effective_start)
count_query = count_query.where(Trade.created_at >= effective_start)
if effective_end:
query = query.where(Trade.created_at <= effective_end)
count_query = count_query.where(Trade.created_at <= effective_end)
if strategy:
# Filter by strategy name (already joined)
query = query.where(Strategy.name == strategy)
count_query = count_query.join(
Strategy, Trade.strategy_id == Strategy.id
).where(Strategy.name == strategy)
if profitable is not None:
if profitable:
query = query.where(Trade.pnl > 0)
count_query = count_query.where(Trade.pnl > 0)
else:
query = query.where(Trade.pnl <= 0)
count_query = count_query.where(Trade.pnl <= 0)
# Pagination
total = (await session.execute(count_query)).scalar() or 0
offset = (page - 1) * effective_per_page
query = query.offset(offset).limit(effective_per_page)
result = await session.execute(query)
rows = result.all()
return {
"trades": [
{
"id": str(t.id),
"ticker": t.ticker,
"side": t.side.value,
"qty": t.qty,
"price": t.price,
"status": t.status.value,
"pnl": t.pnl,
"strategy_id": str(t.strategy_id) if t.strategy_id else None,
"strategy_name": strategy_name,
"signal_id": str(t.signal_id) if t.signal_id else None,
"created_at": t.created_at.isoformat() if t.created_at else None,
}
for t, strategy_name in rows
],
"total": total,
"page": page,
"page_size": effective_per_page,
"per_page": effective_per_page,
"pages": (total + effective_per_page - 1) // effective_per_page if effective_per_page else 0,
}
@router.get("/{trade_id}")
async def get_trade(
trade_id: UUID,
request: Request,
_user: dict = Depends(get_current_user),
) -> dict:
"""Single trade detail with linked signal and outcome."""
from shared.models.trading import Trade
db = request.app.state.db_session_factory
async with db() as session:
trade = (
await session.execute(select(Trade).where(Trade.id == trade_id))
).scalar_one_or_none()
if trade is None:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Trade not found",
)
return {
"id": str(trade.id),
"ticker": trade.ticker,
"side": trade.side.value,
"qty": trade.qty,
"price": trade.price,
"status": trade.status.value,
"pnl": trade.pnl,
"strategy_id": str(trade.strategy_id) if trade.strategy_id else None,
"signal_id": str(trade.signal_id) if trade.signal_id else None,
"created_at": trade.created_at.isoformat() if trade.created_at else None,
}