Jonathan
79b565cfb6
- Store daily BTC OHLC candles in SQLite to avoid hitting CoinGecko on every load - Seed with 30 days of daily candles on first boot (free tier gives daily granularity for days<=30) - Auto-detect and replace coarse legacy candle data on startup - Daily refresh adds new candles on each container restart - New GET /candles endpoint (supports ?days=365 and ?days=all) - Switch BTCHistoryChart to BTCCandlestickChart using lightweight-charts (TradingView) - Purchase markers with nearest-candle matching and multi-purchase merging - Fullscreen mode showing all stored candles - Fix frontend port to 3001 and pass REACT_APP_API_URL as build arg Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
54 lines
1.4 KiB
Python
54 lines
1.4 KiB
Python
from fastapi import APIRouter, Depends, Query
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from sqlalchemy.orm import Session
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from ..database import get_db
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from .. import models
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from ..dependencies import get_current_user
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router = APIRouter()
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@router.get("/candles")
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def get_candles(
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days: str = Query(default="365"),
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db: Session = Depends(get_db),
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current_user: models.User = Depends(get_current_user),
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):
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query = db.query(models.OHLCCandle).order_by(models.OHLCCandle.date.asc())
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if days != "all":
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try:
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limit = int(days)
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except ValueError:
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limit = 365
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# Fetch the most recent `limit` rows
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total = query.count()
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if total > limit:
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query = query.offset(total - limit)
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candles_db = query.all()
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candles = [
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{
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"date": c.date,
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"open": round(c.open, 2),
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"high": round(c.high, 2),
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"low": round(c.low, 2),
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"close": round(c.close, 2),
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}
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for c in candles_db
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]
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purchases_db = db.query(models.Purchase).filter(
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models.Purchase.user_id == current_user.id
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).all()
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purchases = [
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{
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"date": p.created_at.strftime("%Y-%m-%d"),
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"amount_eur": round(p.amount_eur, 2),
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"price_eur": round(p.price_eur, 2),
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}
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for p in purchases_db
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]
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return {"candles": candles, "purchases": purchases}
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