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>
63 lines
2.0 KiB
Python
63 lines
2.0 KiB
Python
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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try:
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resp = requests.get(
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"https://api.coingecko.com/api/v3/coins/bitcoin/market_chart",
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params={"vs_currency": "eur", "days": "365", "interval": "daily"},
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timeout=15,
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)
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resp.raise_for_status()
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return resp.json().get("prices", []) # [[timestamp_ms, price], ...]
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except Exception:
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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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"https://api.coingecko.com/api/v3/simple/price",
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params={"ids": "bitcoin", "vs_currencies": "eur"},
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timeout=10,
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)
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resp.raise_for_status()
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return float(resp.json()["bitcoin"]["eur"])
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except Exception:
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return 0.0
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