Add BTC candlestick chart with local OHLC storage
- 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>
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@@ -1,4 +1,5 @@
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import requests
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from datetime import datetime, timezone
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def get_btc_history_eur() -> list:
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@@ -14,6 +15,40 @@ def get_btc_history_eur() -> list:
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return []
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def get_btc_ohlc_eur(days: int) -> list:
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"""Fetch OHLC candles from CoinGecko. Returns [[ts_ms, open, high, low, close], ...]."""
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try:
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resp = requests.get(
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"https://api.coingecko.com/api/v3/coins/bitcoin/ohlc",
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params={"vs_currency": "eur", "days": str(days)},
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timeout=20,
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)
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resp.raise_for_status()
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return resp.json() # [[timestamp_ms, open, high, low, close], ...]
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except Exception:
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return []
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def aggregate_to_daily(raw: list) -> dict:
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"""Collapse intraday OHLC rows into one candle per UTC calendar date.
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Returns {date_str: {open, high, low, close}} using first open, max high,
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min low, last close per day.
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"""
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by_date: dict = {}
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for row in raw:
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ts_ms, o, h, l, c = row
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date = datetime.fromtimestamp(ts_ms / 1000, tz=timezone.utc).strftime("%Y-%m-%d")
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if date not in by_date:
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by_date[date] = {"open": o, "high": h, "low": l, "close": c}
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else:
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existing = by_date[date]
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existing["high"] = max(existing["high"], h)
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existing["low"] = min(existing["low"], l)
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existing["close"] = c # last close wins
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return by_date
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def get_btc_price_eur() -> float:
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try:
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resp = requests.get(
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@@ -0,0 +1,73 @@
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import logging
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from datetime import datetime, timezone, date as dt_date
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from sqlalchemy.orm import Session
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from ..models import OHLCCandle
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from .btc import get_btc_ohlc_eur, aggregate_to_daily
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logger = logging.getLogger(__name__)
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def seed_candles(db: Session) -> None:
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"""Fetch 30 days of daily OHLC candles from CoinGecko and store them.
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Free tier gives 4-hour bars for days<=30, which aggregate cleanly to daily candles.
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days>30 drops to 4-day granularity (unusable for a daily chart).
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"""
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raw = get_btc_ohlc_eur(days=30)
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if not raw:
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logger.warning("Candle seed: CoinGecko returned no data — will retry on next startup.")
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return
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daily = aggregate_to_daily(raw)
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rows = [
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OHLCCandle(date=date, open=v["open"], high=v["high"], low=v["low"], close=v["close"])
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for date, v in sorted(daily.items())
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]
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for row in rows:
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db.merge(row)
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db.commit()
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logger.info("Candle seed: stored %d daily candles (%s → %s).", len(rows), min(daily.keys()), max(daily.keys()))
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def refresh_latest_candles(db: Session) -> None:
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"""Add any missing candles up to today. Seeds the DB if empty.
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Also detects and replaces coarse (>2-day gap) legacy data from a previous days=365 seed.
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"""
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# Sparse-data detection: if existing candles have >2-day gaps, wipe and re-seed
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first_two = db.query(OHLCCandle).order_by(OHLCCandle.date.asc()).limit(2).all()
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if len(first_two) == 2:
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d1 = dt_date.fromisoformat(first_two[0].date)
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d2 = dt_date.fromisoformat(first_two[1].date)
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if (d2 - d1).days > 2:
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logger.warning("Candle refresh: detected coarse candle data (gap=%d days). Wiping and re-seeding with daily candles.", (d2 - d1).days)
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db.query(OHLCCandle).delete()
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db.commit()
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seed_candles(db)
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return
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latest = db.query(OHLCCandle).order_by(OHLCCandle.date.desc()).first()
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if latest is None:
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seed_candles(db)
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return
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today = datetime.now(tz=timezone.utc).strftime("%Y-%m-%d")
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if latest.date >= today:
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return # Already up to date
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raw = get_btc_ohlc_eur(days=7)
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if not raw:
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logger.warning("Candle refresh: CoinGecko returned no data.")
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return
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daily = aggregate_to_daily(raw)
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new_dates = [d for d in daily if d > latest.date]
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if not new_dates:
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return
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for date in new_dates:
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v = daily[date]
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db.merge(OHLCCandle(date=date, open=v["open"], high=v["high"], low=v["low"], close=v["close"]))
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db.commit()
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logger.info("Candle refresh: upserted %d candle(s) up to %s.", len(new_dates), max(new_dates))
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