Files
Jonathan 59f833d7fd Fix candle chart staleness and show live price on today's candle
- Refresh candles on every /candles request instead of only at startup
- Patch today's candle close/high/low with the live BTC price intraday
- Synthesise today's candle from live price if CoinGecko hasn't published it yet
- Display current BTC price next to the chart title

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-14 19:55:01 +02:00

80 lines
2.5 KiB
Python

from fastapi import APIRouter, Depends, Query
from sqlalchemy.orm import Session
from datetime import datetime, timezone
from ..database import get_db
from .. import models
from ..dependencies import get_current_user
from ..services.candles import refresh_latest_candles
from ..services.btc import get_btc_price_eur
router = APIRouter()
@router.get("/candles")
def get_candles(
days: str = Query(default="365"),
db: Session = Depends(get_db),
current_user: models.User = Depends(get_current_user),
):
# Refresh candles on every request (no-op if DB is already current)
refresh_latest_candles(db)
query = db.query(models.OHLCCandle).order_by(models.OHLCCandle.date.asc())
if days != "all":
try:
limit = int(days)
except ValueError:
limit = 365
# Fetch the most recent `limit` rows
total = query.count()
if total > limit:
query = query.offset(total - limit)
candles_db = query.all()
candles = [
{
"date": c.date,
"open": round(c.open, 2),
"high": round(c.high, 2),
"low": round(c.low, 2),
"close": round(c.close, 2),
}
for c in candles_db
]
# Patch today's candle with the live price so it tracks intraday movement
today = datetime.now(tz=timezone.utc).strftime("%Y-%m-%d")
live_price, _ = get_btc_price_eur()
if live_price and candles:
last = candles[-1]
if last["date"] == today:
last["close"] = round(live_price, 2)
last["high"] = round(max(last["high"], live_price), 2)
last["low"] = round(min(last["low"], live_price), 2)
elif last["date"] < today:
# No candle for today yet — create a synthetic one from live price
prev_close = last["close"]
candles.append({
"date": today,
"open": prev_close,
"high": round(max(prev_close, live_price), 2),
"low": round(min(prev_close, live_price), 2),
"close": round(live_price, 2),
})
purchases_db = db.query(models.Purchase).filter(
models.Purchase.user_id == current_user.id
).all()
purchases = [
{
"date": p.created_at.strftime("%Y-%m-%d"),
"amount_eur": round(p.amount_eur, 2),
"price_eur": round(p.price_eur, 2),
}
for p in purchases_db
]
return {"candles": candles, "purchases": purchases}