feat: instrument model
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@@ -37,6 +37,7 @@ class VirtualEvent(BaseModel):
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class WhatIfBody(BaseModel):
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period: str = "1y"
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virtual_events: List[VirtualEvent] = []
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start_date: Optional[str] = None
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class CalibrateBody(BaseModel):
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@@ -192,10 +193,26 @@ def get_price_history(
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conn.close()
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def _ph_period(start_date: Optional[str], fallback_period: str) -> str:
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"""Compute the price-history period string needed to cover start_date → today."""
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if not start_date:
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return fallback_period
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try:
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from datetime import datetime as _dt
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days = (_dt.utcnow().date() - _dt.fromisoformat(start_date[:10]).date()).days + 10
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for p, d in [("5d", 7), ("1mo", 35), ("3mo", 95), ("6mo", 190), ("1y", 370), ("2y", 740)]:
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if days <= d:
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return p
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return "2y"
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except Exception:
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return fallback_period
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@router.get("/{instrument}/timeline")
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def get_instrument_timeline(
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instrument: str,
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period: str = Query("1y", description="5d|1mo|3mo|6mo|1y|2y"),
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period: str = Query("1y", description="5d|1mo|3mo|6mo|1y|2y"),
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start_date: Optional[str] = Query(None, description="Date de début ISO (override period)"),
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) -> List[Dict[str, Any]]:
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"""Simulation jour par jour de tous les nœuds du modèle sur la période."""
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from services.database import get_conn
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@@ -203,9 +220,8 @@ def get_instrument_timeline(
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from services.price_history import get_price_history
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conn = get_conn()
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try:
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# Pré-peupler le cache prix pour que l'auto-anchor ait les données disponibles
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get_price_history(conn, instrument.upper(), period)
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data = simulate_timeline(conn, instrument.upper(), period)
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get_price_history(conn, instrument.upper(), _ph_period(start_date, period))
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data = simulate_timeline(conn, instrument.upper(), period, start_date=start_date)
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if not data:
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raise HTTPException(status_code=404, detail=f"Modèle introuvable pour {instrument.upper()}")
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return data
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@@ -224,10 +240,12 @@ def timeline_whatif(
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from services.price_history import get_price_history
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conn = get_conn()
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try:
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# Garantir que le cache prix est disponible pour l'auto-anchor
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get_price_history(conn, instrument.upper(), body.period)
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get_price_history(conn, instrument.upper(), _ph_period(body.start_date, body.period))
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ve_list = [ve.dict() for ve in body.virtual_events]
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data = simulate_timeline(conn, instrument.upper(), body.period, virtual_events=ve_list)
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data = simulate_timeline(
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conn, instrument.upper(), body.period,
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virtual_events=ve_list, start_date=body.start_date
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)
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if not data:
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raise HTTPException(status_code=404, detail=f"Modèle introuvable pour {instrument.upper()}")
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return data
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