feat: instrument analysis
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@@ -75,6 +75,32 @@ def update_instrument_drivers(instrument_id: str, drivers: List[Dict]) -> None:
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logger.info(f"[instrument_service] Updated drivers for {uid} ({len(drivers)} drivers)")
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def update_instrument_saxo_link(instrument_id: str, saxo_symbol: Optional[str]) -> None:
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"""Persist the Saxo quote-symbol link to instruments.json and refresh in-memory config.
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saxo_symbol=None clears the link (falls back to yfinance)."""
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global _configs
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if _configs is None:
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_load_configs()
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uid = instrument_id.upper()
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if uid not in _configs:
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raise ValueError(f"Instrument {uid} not found")
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with open(CONFIG_PATH, "r", encoding="utf-8") as f:
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raw = json.load(f)
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for inst in raw["instruments"]:
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if inst["id"] == uid:
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inst["saxo_quote_symbol"] = saxo_symbol
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break
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with open(CONFIG_PATH, "w", encoding="utf-8") as f:
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json.dump(raw, f, ensure_ascii=False, indent=2)
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_configs[uid]["saxo_quote_symbol"] = saxo_symbol
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logger.info(f"[instrument_service] Updated Saxo link for {uid}: {saxo_symbol}")
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# ── DataFrame helpers ──────────────────────────────────────────────────────────
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def _ohlcv_to_df(records: List[Dict]) -> pd.DataFrame:
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@@ -653,6 +679,46 @@ def _get_relevant_events(
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# ── Main snapshot ──────────────────────────────────────────────────────────────
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# Approximate calendar-day span of each yfinance-style period string — used to size the
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# Saxo `days` fetch window (Saxo's Chart API is day-count based, not period-string based).
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# Same values as routers/wavelet.py's _PERIOD_TO_DAYS; duplicated locally since it's a
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# tiny, stable lookup table not worth sharing across modules.
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_PERIOD_TO_DAYS = {
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"5d": 5, "1mo": 30, "3mo": 90, "6mo": 182,
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"1y": 365, "2y": 730, "5y": 1825, "10y": 3650, "max": 3650,
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}
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def _fetch_ohlcv(config: Dict[str, Any], instrument_id: str, period: str, interval: str) -> Tuple[List[Dict], str]:
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"""Fetch OHLCV records for the snapshot — Saxo-first when the instrument has a
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saxo_quote_symbol linked, yfinance otherwise (or as a silent fallback on any Saxo
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failure). Returns (records, source)."""
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saxo_symbol = config.get("saxo_quote_symbol")
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if saxo_symbol:
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try:
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from services.database import get_saxo_catalog_by_symbol
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from services.saxo_client import get_price_history
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entry = get_saxo_catalog_by_symbol(saxo_symbol)
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asset_type = entry["asset_type"] if entry else "FxSpot"
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days = _PERIOD_TO_DAYS.get(period, 365)
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bars = get_price_history(saxo_symbol, asset_type, days=days)
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records = [{"date": b["date"], "open": b.get("open"), "high": b.get("high"),
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"low": b.get("low"), "close": b.get("close"), "volume": b.get("volume")}
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for b in bars]
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return records, "saxo"
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except Exception as e:
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logger.warning(f"[instrument_service] Saxo fetch failed for {instrument_id} ({saxo_symbol}), falling back to yfinance: {e}")
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yf_ticker = config.get("yf_ticker", instrument_id)
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try:
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from services.data_fetcher import get_historical
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records = get_historical(yf_ticker, period=period, interval=interval)
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except Exception as e:
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logger.error(f"[instrument_service] Data fetch failed for {instrument_id}: {e}")
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records = []
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return records, "yfinance"
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async def get_snapshot(
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instrument_id: str,
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period: str = "1y",
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@@ -666,16 +732,7 @@ async def get_snapshot(
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if not config:
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return {"error": f"Unknown instrument: {instrument_id}"}
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yf_ticker = config.get("yf_ticker", instrument_id)
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# Fetch OHLCV
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try:
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from services.data_fetcher import get_historical
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records = get_historical(yf_ticker, period=period, interval=interval)
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except Exception as e:
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logger.error(f"[instrument_service] Data fetch failed for {instrument_id}: {e}")
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records = []
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records, source = _fetch_ohlcv(config, instrument_id, period, interval)
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df = _ohlcv_to_df(records)
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# Compute everything
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@@ -752,6 +809,7 @@ async def get_snapshot(
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"change_pct": change_pct,
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"change_abs": change_abs,
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"period": period,
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"source": source,
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}
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@@ -249,7 +249,9 @@ def get_price_history(symbol: str, asset_type: str = "FxSpot", days: int = 90) -
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Callers should treat any failure here (entitlement gap, still-wrong field names for
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some other asset type, etc.) as routine and fall back to another source, not surface
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it as a hard error.
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Returns oldest-first [{"date": "YYYY-MM-DD", "close": float}, ...].
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Returns oldest-first [{"date": "YYYY-MM-DD", "close": float, "open": float|None,
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"high": float|None, "low": float|None, "volume": float|None}, ...] — open/high/low/volume
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are None when the raw bar doesn't carry them (e.g. FX Spot has no traded volume).
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"""
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instrument = resolve_instrument(symbol, asset_types=asset_type)
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data = _get("/chart/v3/charts", {
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@@ -271,7 +273,14 @@ def get_price_history(symbol: str, asset_type: str = "FxSpot", days: int = 90) -
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close = (bar["CloseBid"] + bar["CloseAsk"]) / 2
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if close is None or not time_str:
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continue
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out.append({"date": str(time_str)[:10], "close": float(close)})
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out.append({
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"date": str(time_str)[:10],
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"close": float(close),
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"open": float(bar["Open"]) if bar.get("Open") is not None else None,
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"high": float(bar["High"]) if bar.get("High") is not None else None,
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"low": float(bar["Low"]) if bar.get("Low") is not None else None,
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"volume": float(bar["Volume"]) if bar.get("Volume") is not None else None,
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})
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if not out:
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raise ValueError(f"Chart data for '{symbol}' had no usable Close/CloseMid/CloseBid+CloseAsk/Time fields — raw bar keys: {list(bars[0].keys()) if bars else []}")
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return out
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