454 lines
15 KiB
Python
454 lines
15 KiB
Python
import math
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import asyncio
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import json
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from typing import List, Optional, Dict, Any
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from fastapi import APIRouter, HTTPException
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from fastapi.responses import StreamingResponse
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from DbKit.Db import Db
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from Config.Config import DB_URL
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from Util.LlmUtil import get_llm_response
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from Model.YltAnalyticsModel import (
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StationBase,
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CompetitorStation,
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GeoCompetitionResponse,
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GeoCompetitionSummary,
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PriceSeries,
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PriceComparisonResponse,
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PriceComparisonSummary,
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)
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router = APIRouter()
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db = Db(db_url=DB_URL)
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async def init_db():
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await db.init_db()
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async def close_db():
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await db.close()
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@router.get("/api/ylt/stations", response_model=List[StationBase])
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async def list_ylt_stations(q: Optional[str] = None):
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base_sql = """
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SELECT
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p.station_hash,
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p.operator,
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p.station_name,
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p.address,
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p.coord_x,
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p.coord_y,
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s.current_price
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FROM t_station_profile_scd p
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LEFT JOIN t_station_status_scd s
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ON p.station_hash = s.station_hash AND s.is_current = 1
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WHERE p.is_current = 1
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AND p.operator = '驿来特'
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"""
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params: Dict[str, Any] = {}
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if q:
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base_sql += " AND (p.station_name LIKE :kw OR p.address LIKE :kw)"
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params["kw"] = f"%{q}%"
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base_sql += " ORDER BY p.station_name"
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rows = await db.find(base_sql, params)
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result: List[StationBase] = []
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for r in rows:
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result.append(
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StationBase(
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station_hash=r.get("station_hash"),
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operator=r.get("operator"),
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station_name=r.get("station_name"),
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address=r.get("address"),
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coord_x=r.get("coord_x"),
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coord_y=r.get("coord_y"),
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current_price=r.get("current_price"),
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)
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)
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return result
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def haversine_km(lon1: float, lat1: float, lon2: float, lat2: float) -> float:
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r = 6371.0
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phi1 = math.radians(lat1)
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phi2 = math.radians(lat2)
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d_phi = math.radians(lat2 - lat1)
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d_lambda = math.radians(lon2 - lon1)
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a = math.sin(d_phi / 2) ** 2 + math.cos(phi1) * math.cos(phi2) * math.sin(d_lambda / 2) ** 2
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c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
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return r * c
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async def fetch_current_stations() -> List[dict]:
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sql = """
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SELECT
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p.station_hash,
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p.operator,
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p.station_name,
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p.address,
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p.coord_x,
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p.coord_y,
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s.current_price
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FROM t_station_profile_scd p
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LEFT JOIN t_station_status_scd s
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ON p.station_hash = s.station_hash AND s.is_current = 1
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WHERE p.is_current = 1
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"""
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return await db.find(sql, {})
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async def build_geo_competition(station_hash: str, radius_km: float = 3.0) -> GeoCompetitionResponse:
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rows = await fetch_current_stations()
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if not rows:
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raise HTTPException(status_code=404, detail="no station data")
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base_row = None
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for r in rows:
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if r.get("station_hash") == station_hash and r.get("operator") == "驿来特":
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base_row = r
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break
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if base_row is None:
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raise HTTPException(status_code=404, detail="base station not found for 驿来特")
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base_lon = base_row.get("coord_x")
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base_lat = base_row.get("coord_y")
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if base_lon is None or base_lat is None:
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raise HTTPException(status_code=400, detail="base station has no coordinates")
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competitors: List[CompetitorStation] = []
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ylt_price = base_row.get("current_price")
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cheaper = 0
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same = 0
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more_expensive = 0
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min_price: Optional[float] = None
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max_price: Optional[float] = None
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for r in rows:
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if r.get("operator") == "驿来特":
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continue
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lon = r.get("coord_x")
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lat = r.get("coord_y")
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if lon is None or lat is None:
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continue
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dist = haversine_km(base_lon, base_lat, lon, lat)
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if dist > radius_km:
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continue
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price = r.get("current_price")
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competitors.append(
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CompetitorStation(
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station_hash=r.get("station_hash"),
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operator=r.get("operator"),
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station_name=r.get("station_name"),
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distance_km=round(dist, 3),
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current_price=price,
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)
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)
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if price is not None:
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if min_price is None or price < min_price:
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min_price = price
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if max_price is None or price > max_price:
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max_price = price
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if ylt_price is not None:
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if price < ylt_price:
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cheaper += 1
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elif price > ylt_price:
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more_expensive += 1
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else:
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same += 1
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base_station = StationBase(
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station_hash=base_row.get("station_hash"),
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operator=base_row.get("operator"),
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station_name=base_row.get("station_name"),
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address=base_row.get("address"),
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coord_x=base_lon,
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coord_y=base_lat,
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current_price=ylt_price,
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)
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return GeoCompetitionResponse(
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base_station=base_station,
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competitors=competitors,
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ylt_price=ylt_price,
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min_competitor_price=min_price,
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max_competitor_price=max_price,
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cheaper_count=cheaper,
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same_count=same,
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more_expensive_count=more_expensive,
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)
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async def fetch_station_schedule_json(station_hash: str) -> Optional[str]:
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sql = """
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SELECT schedule_json
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FROM t_station_price_schedule_scd
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WHERE station_hash = :h AND is_current = 1
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ORDER BY valid_start_time DESC
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LIMIT 1
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"""
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rows = await db.find(sql, {"h": station_hash})
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if not rows:
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return None
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value = rows[0].get("schedule_json")
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if value is None:
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return None
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if isinstance(value, str):
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return value
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try:
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return json.dumps(value, ensure_ascii=False)
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except Exception:
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return None
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def extract_price_from_item(item: Dict[str, Any]) -> Optional[float]:
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if not isinstance(item, dict):
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return None
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for key in ("price", "price_kwh", "priceKwh", "total_price", "totalPrice"):
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v = item.get(key)
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if isinstance(v, (int, float)):
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return float(v)
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elec = item.get("elec_price")
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service = item.get("service_price")
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if isinstance(elec, (int, float)) and isinstance(service, (int, float)):
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return float(elec) + float(service)
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elec2 = item.get("electric_fee_kwh")
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service2 = item.get("service_fee_kwh")
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if isinstance(elec2, (int, float)) and isinstance(service2, (int, float)):
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return float(elec2) + float(service2)
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elec3 = item.get("ele_fee")
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service3 = item.get("ser_fee")
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if isinstance(elec3, (int, float)) and isinstance(service3, (int, float)):
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return float(elec3) + float(service3)
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return None
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def parse_hour_from_item(item: Dict[str, Any], default_index: int) -> Optional[int]:
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start = item.get("start")
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if isinstance(start, str) and ":" in start:
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parts = start.split(":")
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try:
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h = int(parts[0])
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if 0 <= h <= 23:
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return h
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except Exception:
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pass
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end = item.get("end")
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if isinstance(end, str) and ":" in end:
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parts = end.split(":")
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try:
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h2 = int(parts[0])
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if 0 < h2 <= 24:
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return h2 - 1
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except Exception:
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pass
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if 0 <= default_index <= 23:
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return default_index
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return None
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def extract_hourly_prices(schedule_json_str: str) -> List[Optional[float]]:
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series: List[Optional[float]] = [None] * 24
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if not schedule_json_str:
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return series
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try:
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data = json.loads(schedule_json_str)
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except Exception:
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return series
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if not isinstance(data, list):
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return series
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for idx, item in enumerate(data):
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price = extract_price_from_item(item)
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if price is None:
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continue
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hour_idx = parse_hour_from_item(item, idx)
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if hour_idx is None or not (0 <= hour_idx < 24):
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continue
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series[hour_idx] = float(price)
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return series
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async def build_price_comparison(station_hash: str) -> PriceComparisonResponse:
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geo = await build_geo_competition(station_hash)
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base_station = geo.base_station
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base_schedule_str = await fetch_station_schedule_json(base_station.station_hash)
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if base_schedule_str is None:
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raise HTTPException(status_code=404, detail="no price schedule for YLT station")
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ylt_series = extract_hourly_prices(base_schedule_str)
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hours = list(range(24))
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operator_series_sum: Dict[str, List[float]] = {}
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operator_series_count: Dict[str, List[int]] = {}
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for comp in geo.competitors:
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schedule_str = await fetch_station_schedule_json(comp.station_hash)
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if not schedule_str:
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continue
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series = extract_hourly_prices(schedule_str)
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op = comp.operator
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if op not in operator_series_sum:
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operator_series_sum[op] = [0.0] * 24
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operator_series_count[op] = [0] * 24
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sums = operator_series_sum[op]
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counts = operator_series_count[op]
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for i in range(24):
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v = series[i]
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if v is None:
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continue
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sums[i] += v
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counts[i] += 1
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competitors_series: List[PriceSeries] = []
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for op, sums in operator_series_sum.items():
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counts = operator_series_count[op]
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avg_series: List[Optional[float]] = []
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for i in range(24):
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c = counts[i]
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if c > 0:
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avg_series.append(sums[i] / c)
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else:
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avg_series.append(None)
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competitors_series.append(PriceSeries(operator=op, series=avg_series))
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diffs: List[float] = []
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for i in range(24):
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y = ylt_series[i]
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if y is None:
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continue
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competitor_prices: List[float] = []
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for s in competitors_series:
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v = s.series[i]
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if v is not None:
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competitor_prices.append(float(v))
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if not competitor_prices:
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continue
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min_comp = min(competitor_prices)
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diffs.append(y - min_comp)
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min_diff = min(diffs) if diffs else None
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max_diff = max(diffs) if diffs else None
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avg_diff = sum(diffs) / len(diffs) if diffs else None
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ylt_price_series = PriceSeries(operator=base_station.operator, series=ylt_series)
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return PriceComparisonResponse(
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hours=hours,
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ylt=ylt_price_series,
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competitors=competitors_series,
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min_diff=min_diff,
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max_diff=max_diff,
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avg_diff=avg_diff,
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)
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@router.get("/health")
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async def health():
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return {"status": "ok"}
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@router.get("/api/ylt/geo/competitors/{station_hash}", response_model=GeoCompetitionResponse)
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async def get_geo_competitors(station_hash: str):
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return await build_geo_competition(station_hash)
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@router.get("/api/ylt/geo/competitors/{station_hash}/summary", response_model=GeoCompetitionSummary)
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async def get_geo_competitors_summary(station_hash: str):
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data = await build_geo_competition(station_hash)
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base = data.base_station
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total_comp = len(data.competitors)
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cheaper = data.cheaper_count
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same = data.same_count
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more_expensive = data.more_expensive_count
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ylt_price = data.ylt_price
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min_price = data.min_competitor_price
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max_price = data.max_competitor_price
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summary_input = {
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"station_name": base.station_name,
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"operator": base.operator,
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"ylt_price": ylt_price,
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"competitor_count": total_comp,
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"cheaper_count": cheaper,
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"same_count": same,
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"more_expensive_count": more_expensive,
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"min_competitor_price": min_price,
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"max_competitor_price": max_price,
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}
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text = (
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"请作为驿来特价格策略分析顾问，用简明中文解释当前场站在3公里范围内的价格竞争情况，"
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"给出可操作的价格调整或产品策略建议，控制在300字以内。以下是结构化数据：\n"
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f"{summary_input}"
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)
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chunks: List[str] = []
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async for chunk in get_llm_response(
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text,
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stream=False,
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system_prompt="你是驿来特电价和选址策略顾问。",
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):
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chunks.append(chunk)
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summary_text = "".join(chunks)
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return GeoCompetitionSummary(summary=summary_text)
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@router.get("/api/ylt/pricing/comparison/{station_hash}", response_model=PriceComparisonResponse)
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async def get_price_comparison(station_hash: str):
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return await build_price_comparison(station_hash)
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@router.get("/api/ylt/pricing/comparison/{station_hash}/summary", response_model=PriceComparisonSummary)
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async def get_price_comparison_summary(station_hash: str):
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data = await build_price_comparison(station_hash)
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ylt_series = data.ylt.series
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text_data = {
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"hours": data.hours,
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"ylt_prices": ylt_series,
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"competitors": [
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{"operator": s.operator, "series": s.series} for s in data.competitors
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],
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"min_diff": data.min_diff,
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"max_diff": data.max_diff,
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"avg_diff": data.avg_diff,
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}
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text = (
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"请作为驿来特价格策略分析顾问，对下列分时电价数据进行比较分析：\n"
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"1) 解释驿来特与三家竞品在一天24小时内的价格差距特征；\n"
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"2) 指出在哪些时间段我们明显偏贵、在哪些时间段有优势；\n"
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"3) 给出2到3条可执行的调价或营销策略建议；\n"
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"控制在400字以内。数据如下：\n"
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f"{text_data}"
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)
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chunks: List[str] = []
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async for chunk in get_llm_response(
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text,
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stream=False,
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system_prompt="你是驿来特电价策略分析顾问。",
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):
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chunks.append(chunk)
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summary_text = "".join(chunks)
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return PriceComparisonSummary(summary=summary_text)
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@router.get("/api/ylt/pricing/comparison/{station_hash}/sse")
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async def stream_price_comparison_summary(station_hash: str):
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data = await build_price_comparison(station_hash)
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text_data = {
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"hours": data.hours,
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"ylt_prices": data.ylt.series,
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"competitors": [
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{"operator": s.operator, "series": s.series} for s in data.competitors
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],
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"min_diff": data.min_diff,
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"max_diff": data.max_diff,
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"avg_diff": data.avg_diff,
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}
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text = (
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"请作为驿来特价格策略分析顾问，对下列分时电价数据进行比较分析：\n"
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"1) 解释驿来特与三家竞品在一天24小时内的价格差距特征；\n"
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"2) 指出在哪些时间段我们明显偏贵、在哪些时间段有优势；\n"
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"3) 给出2到3条可执行的调价或营销策略建议；\n"
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"控制在400字以内。数据如下：\n"
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f"{text_data}"
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)
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async def event_generator():
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async for chunk in get_llm_response(
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text,
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stream=True,
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system_prompt="你是驿来特电价策略分析顾问。",
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):
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if chunk is None:
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continue
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yield f"data: {chunk}\n\n"
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yield "event: end\ndata: [DONE]\n\n"
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return StreamingResponse(event_generator(), media_type="text/event-stream")
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