aiData/Controller/YltAnalyticsController.py

import math
import asyncio
import json
from typing import List, Optional, Dict, Any

from fastapi import APIRouter, HTTPException
from fastapi.responses import StreamingResponse

from DbKit.Db import Db
from Config.Config import DB_URL
from Util.LlmUtil import get_llm_response
from Model.YltAnalyticsModel import (
    StationBase,
    CompetitorStation,
    GeoCompetitionResponse,
    GeoCompetitionSummary,
    PriceSeries,
    PriceComparisonResponse,
    PriceComparisonSummary,
)


router = APIRouter()

db = Db(db_url=DB_URL)


async def init_db():
    await db.init_db()


async def close_db():
    await db.close()


@router.get("/api/ylt/stations", response_model=List[StationBase])
async def list_ylt_stations(q: Optional[str] = None):
    base_sql = """
    SELECT
        p.station_hash,
        p.operator,
        p.station_name,
        p.address,
        p.coord_x,
        p.coord_y,
        s.current_price
    FROM t_station_profile_scd p
    LEFT JOIN t_station_status_scd s
        ON p.station_hash = s.station_hash AND s.is_current = 1
    WHERE p.is_current = 1
      AND p.operator = '驿来特'
    """
    params: Dict[str, Any] = {}
    if q:
        base_sql += " AND (p.station_name LIKE :kw OR p.address LIKE :kw)"
        params["kw"] = f"%{q}%"
    base_sql += " ORDER BY p.station_name"
    rows = await db.find(base_sql, params)
    result: List[StationBase] = []
    for r in rows:
        result.append(
            StationBase(
                station_hash=r.get("station_hash"),
                operator=r.get("operator"),
                station_name=r.get("station_name"),
                address=r.get("address"),
                coord_x=r.get("coord_x"),
                coord_y=r.get("coord_y"),
                current_price=r.get("current_price"),
            )
        )
    return result


def haversine_km(lon1: float, lat1: float, lon2: float, lat2: float) -> float:
    r = 6371.0
    phi1 = math.radians(lat1)
    phi2 = math.radians(lat2)
    d_phi = math.radians(lat2 - lat1)
    d_lambda = math.radians(lon2 - lon1)
    a = math.sin(d_phi / 2) ** 2 + math.cos(phi1) * math.cos(phi2) * math.sin(d_lambda / 2) ** 2
    c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
    return r * c


async def fetch_current_stations() -> List[dict]:
    sql = """
    SELECT
        p.station_hash,
        p.operator,
        p.station_name,
        p.address,
        p.coord_x,
        p.coord_y,
        s.current_price
    FROM t_station_profile_scd p
    LEFT JOIN t_station_status_scd s
        ON p.station_hash = s.station_hash AND s.is_current = 1
    WHERE p.is_current = 1
    """
    return await db.find(sql, {})


async def build_geo_competition(station_hash: str, radius_km: float = 3.0) -> GeoCompetitionResponse:
    rows = await fetch_current_stations()
    if not rows:
        raise HTTPException(status_code=404, detail="no station data")
    base_row = None
    for r in rows:
        if r.get("station_hash") == station_hash and r.get("operator") == "驿来特":
            base_row = r
            break
    if base_row is None:
        raise HTTPException(status_code=404, detail="base station not found for 驿来特")
    base_lon = base_row.get("coord_x")
    base_lat = base_row.get("coord_y")
    if base_lon is None or base_lat is None:
        raise HTTPException(status_code=400, detail="base station has no coordinates")
    competitors: List[CompetitorStation] = []
    ylt_price = base_row.get("current_price")
    cheaper = 0
    same = 0
    more_expensive = 0
    min_price: Optional[float] = None
    max_price: Optional[float] = None
    for r in rows:
        if r.get("operator") == "驿来特":
            continue
        lon = r.get("coord_x")
        lat = r.get("coord_y")
        if lon is None or lat is None:
            continue
        dist = haversine_km(base_lon, base_lat, lon, lat)
        if dist > radius_km:
            continue
        price = r.get("current_price")
        competitors.append(
            CompetitorStation(
                station_hash=r.get("station_hash"),
                operator=r.get("operator"),
                station_name=r.get("station_name"),
                distance_km=round(dist, 3),
                current_price=price,
            )
        )
        if price is not None:
            if min_price is None or price < min_price:
                min_price = price
            if max_price is None or price > max_price:
                max_price = price
            if ylt_price is not None:
                if price < ylt_price:
                    cheaper += 1
                elif price > ylt_price:
                    more_expensive += 1
                else:
                    same += 1
    base_station = StationBase(
        station_hash=base_row.get("station_hash"),
        operator=base_row.get("operator"),
        station_name=base_row.get("station_name"),
        address=base_row.get("address"),
        coord_x=base_lon,
        coord_y=base_lat,
        current_price=ylt_price,
    )
    return GeoCompetitionResponse(
        base_station=base_station,
        competitors=competitors,
        ylt_price=ylt_price,
        min_competitor_price=min_price,
        max_competitor_price=max_price,
        cheaper_count=cheaper,
        same_count=same,
        more_expensive_count=more_expensive,
    )


async def fetch_station_schedule_json(station_hash: str) -> Optional[str]:
    sql = """
    SELECT schedule_json
    FROM t_station_price_schedule_scd
    WHERE station_hash = :h AND is_current = 1
    ORDER BY valid_start_time DESC
    LIMIT 1
    """
    rows = await db.find(sql, {"h": station_hash})
    if not rows:
        return None
    value = rows[0].get("schedule_json")
    if value is None:
        return None
    if isinstance(value, str):
        return value
    try:
        return json.dumps(value, ensure_ascii=False)
    except Exception:
        return None


def extract_price_from_item(item: Dict[str, Any]) -> Optional[float]:
    if not isinstance(item, dict):
        return None
    for key in ("price", "price_kwh", "priceKwh", "total_price", "totalPrice"):
        v = item.get(key)
        if isinstance(v, (int, float)):
            return float(v)
    elec = item.get("elec_price")
    service = item.get("service_price")
    if isinstance(elec, (int, float)) and isinstance(service, (int, float)):
        return float(elec) + float(service)
    elec2 = item.get("electric_fee_kwh")
    service2 = item.get("service_fee_kwh")
    if isinstance(elec2, (int, float)) and isinstance(service2, (int, float)):
        return float(elec2) + float(service2)
    elec3 = item.get("ele_fee")
    service3 = item.get("ser_fee")
    if isinstance(elec3, (int, float)) and isinstance(service3, (int, float)):
        return float(elec3) + float(service3)
    return None


def parse_hour_from_item(item: Dict[str, Any], default_index: int) -> Optional[int]:
    start = item.get("start")
    if isinstance(start, str) and ":" in start:
        parts = start.split(":")
        try:
            h = int(parts[0])
            if 0 <= h <= 23:
                return h
        except Exception:
            pass
    end = item.get("end")
    if isinstance(end, str) and ":" in end:
        parts = end.split(":")
        try:
            h2 = int(parts[0])
            if 0 < h2 <= 24:
                return h2 - 1
        except Exception:
            pass
    if 0 <= default_index <= 23:
        return default_index
    return None


def extract_hourly_prices(schedule_json_str: str) -> List[Optional[float]]:
    series: List[Optional[float]] = [None] * 24
    if not schedule_json_str:
        return series
    try:
        data = json.loads(schedule_json_str)
    except Exception:
        return series
    if not isinstance(data, list):
        return series
    for idx, item in enumerate(data):
        price = extract_price_from_item(item)
        if price is None:
            continue
        hour_idx = parse_hour_from_item(item, idx)
        if hour_idx is None or not (0 <= hour_idx < 24):
            continue
        series[hour_idx] = float(price)
    return series


async def build_price_comparison(station_hash: str) -> PriceComparisonResponse:
    geo = await build_geo_competition(station_hash)
    base_station = geo.base_station
    base_schedule_str = await fetch_station_schedule_json(base_station.station_hash)
    if base_schedule_str is None:
        raise HTTPException(status_code=404, detail="no price schedule for YLT station")
    ylt_series = extract_hourly_prices(base_schedule_str)
    hours = list(range(24))
    operator_series_sum: Dict[str, List[float]] = {}
    operator_series_count: Dict[str, List[int]] = {}
    for comp in geo.competitors:
        schedule_str = await fetch_station_schedule_json(comp.station_hash)
        if not schedule_str:
            continue
        series = extract_hourly_prices(schedule_str)
        op = comp.operator
        if op not in operator_series_sum:
            operator_series_sum[op] = [0.0] * 24
            operator_series_count[op] = [0] * 24
        sums = operator_series_sum[op]
        counts = operator_series_count[op]
        for i in range(24):
            v = series[i]
            if v is None:
                continue
            sums[i] += v
            counts[i] += 1
    competitors_series: List[PriceSeries] = []
    for op, sums in operator_series_sum.items():
        counts = operator_series_count[op]
        avg_series: List[Optional[float]] = []
        for i in range(24):
            c = counts[i]
            if c > 0:
                avg_series.append(sums[i] / c)
            else:
                avg_series.append(None)
        competitors_series.append(PriceSeries(operator=op, series=avg_series))
    diffs: List[float] = []
    for i in range(24):
        y = ylt_series[i]
        if y is None:
            continue
        competitor_prices: List[float] = []
        for s in competitors_series:
            v = s.series[i]
            if v is not None:
                competitor_prices.append(float(v))
        if not competitor_prices:
            continue
        min_comp = min(competitor_prices)
        diffs.append(y - min_comp)
    min_diff = min(diffs) if diffs else None
    max_diff = max(diffs) if diffs else None
    avg_diff = sum(diffs) / len(diffs) if diffs else None
    ylt_price_series = PriceSeries(operator=base_station.operator, series=ylt_series)
    return PriceComparisonResponse(
        hours=hours,
        ylt=ylt_price_series,
        competitors=competitors_series,
        min_diff=min_diff,
        max_diff=max_diff,
        avg_diff=avg_diff,
    )


@router.get("/health")
async def health():
    return {"status": "ok"}


@router.get("/api/ylt/geo/competitors/{station_hash}", response_model=GeoCompetitionResponse)
async def get_geo_competitors(station_hash: str):
    return await build_geo_competition(station_hash)


@router.get("/api/ylt/geo/competitors/{station_hash}/summary", response_model=GeoCompetitionSummary)
async def get_geo_competitors_summary(station_hash: str):
    data = await build_geo_competition(station_hash)
    base = data.base_station
    total_comp = len(data.competitors)
    cheaper = data.cheaper_count
    same = data.same_count
    more_expensive = data.more_expensive_count
    ylt_price = data.ylt_price
    min_price = data.min_competitor_price
    max_price = data.max_competitor_price
    summary_input = {
        "station_name": base.station_name,
        "operator": base.operator,
        "ylt_price": ylt_price,
        "competitor_count": total_comp,
        "cheaper_count": cheaper,
        "same_count": same,
        "more_expensive_count": more_expensive,
        "min_competitor_price": min_price,
        "max_competitor_price": max_price,
    }
    text = (
        "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，"
        "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"
        f"{summary_input}"
    )
    chunks: List[str] = []
    async for chunk in get_llm_response(
        text,
        stream=False,
        system_prompt="你是驿来特电价和选址策略顾问。",
    ):
        chunks.append(chunk)
    summary_text = "".join(chunks)
    return GeoCompetitionSummary(summary=summary_text)


@router.get("/api/ylt/pricing/comparison/{station_hash}", response_model=PriceComparisonResponse)
async def get_price_comparison(station_hash: str):
    return await build_price_comparison(station_hash)


@router.get("/api/ylt/pricing/comparison/{station_hash}/summary", response_model=PriceComparisonSummary)
async def get_price_comparison_summary(station_hash: str):
    data = await build_price_comparison(station_hash)
    ylt_series = data.ylt.series
    text_data = {
        "hours": data.hours,
        "ylt_prices": ylt_series,
        "competitors": [
            {"operator": s.operator, "series": s.series} for s in data.competitors
        ],
        "min_diff": data.min_diff,
        "max_diff": data.max_diff,
        "avg_diff": data.avg_diff,
    }
    text = (
        "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"
        "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"
        "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"
        "3) 给出2到3条可执行的调价或营销策略建议；\n"
        "控制在400字以内。数据如下：\n"
        f"{text_data}"
    )
    chunks: List[str] = []
    async for chunk in get_llm_response(
        text,
        stream=False,
        system_prompt="你是驿来特电价策略分析顾问。",
    ):
        chunks.append(chunk)
    summary_text = "".join(chunks)
    return PriceComparisonSummary(summary=summary_text)


@router.get("/api/ylt/pricing/comparison/{station_hash}/sse")
async def stream_price_comparison_summary(station_hash: str):
    data = await build_price_comparison(station_hash)
    text_data = {
        "hours": data.hours,
        "ylt_prices": data.ylt.series,
        "competitors": [
            {"operator": s.operator, "series": s.series} for s in data.competitors
        ],
        "min_diff": data.min_diff,
        "max_diff": data.max_diff,
        "avg_diff": data.avg_diff,
    }
    text = (
        "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"
        "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"
        "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"
        "3) 给出2到3条可执行的调价或营销策略建议；\n"
        "控制在400字以内。数据如下：\n"
        f"{text_data}"
    )

    async def event_generator():
        async for chunk in get_llm_response(
            text,
            stream=True,
            system_prompt="你是驿来特电价策略分析顾问。",
        ):
            if chunk is None:
                continue
            yield f"data: {chunk}\n\n"
        yield "event: end\ndata: [DONE]\n\n"

    return StreamingResponse(event_generator(), media_type="text/event-stream")