'commit'

Controller/YltAnalyticsController.py

@@ -0,0 +1,453 @@
+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")

Model/YltAnalyticsModel.py

@@ -0,0 +1,55 @@
+from typing import List, Optional
+
+from pydantic import BaseModel
+
+
+class StationBase(BaseModel):
+    station_hash: str
+    operator: str
+    station_name: str
+    address: Optional[str]
+    coord_x: Optional[float]
+    coord_y: Optional[float]
+    current_price: Optional[float]
+
+
+class CompetitorStation(BaseModel):
+    station_hash: str
+    operator: str
+    station_name: str
+    distance_km: float
+    current_price: Optional[float]
+
+
+class GeoCompetitionResponse(BaseModel):
+    base_station: StationBase
+    competitors: List[CompetitorStation]
+    ylt_price: Optional[float]
+    min_competitor_price: Optional[float]
+    max_competitor_price: Optional[float]
+    cheaper_count: int
+    same_count: int
+    more_expensive_count: int
+
+
+class GeoCompetitionSummary(BaseModel):
+    summary: str
+
+
+class PriceSeries(BaseModel):
+    operator: str
+    series: List[Optional[float]]
+
+
+class PriceComparisonResponse(BaseModel):
+    hours: List[int]
+    ylt: PriceSeries
+    competitors: List[PriceSeries]
+    min_diff: Optional[float]
+    max_diff: Optional[float]
+    avg_diff: Optional[float]
+
+
+class PriceComparisonSummary(BaseModel):
+    summary: str
+

YLT_Analytics_Api.py

@@ -1,222 +1,63 @@
-import math
-import asyncio
-from typing import List, Optional
-
 import os
 import sys
+import logging
+from contextlib import asynccontextmanager
 
-from fastapi import FastAPI, HTTPException
-from pydantic import BaseModel
+from fastapi import FastAPI
+from fastapi.staticfiles import StaticFiles
 
 project_root = os.path.dirname(os.path.abspath(__file__))
 if project_root not in sys.path:
     sys.path.append(project_root)
 
-from DbKit.Db import Db
-from Config.Config import DB_URL
-from Util.LlmUtil import get_llm_response
+
+def setup_api_logger():
+    logger = logging.getLogger("YLT_Analytics_Api")
+    logger.setLevel(logging.INFO)
+    logger.propagate = False
+    if logger.handlers:
+        return logger
+    log_dir = os.path.join(project_root, "Logs")
+    os.makedirs(log_dir, exist_ok=True)
+    log_file = os.path.join(log_dir, "YLT_Analytics_Api.log")
+    file_handler = logging.FileHandler(log_file, encoding="utf-8")
+    formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
+    file_handler.setFormatter(formatter)
+    logger.addHandler(file_handler)
+    console_handler = logging.StreamHandler()
+    console_handler.setFormatter(formatter)
+    logger.addHandler(console_handler)
+    return logger
 
 
-class StationBase(BaseModel):
-    station_hash: str
-    operator: str
-    station_name: str
-    address: Optional[str]
-    coord_x: Optional[float]
-    coord_y: Optional[float]
-    current_price: Optional[float]
+logger = setup_api_logger()
+logger.info("YLT_Analytics_Api module imported")
+
+from Controller.YltAnalyticsController import router, init_db, close_db
 
 
-class CompetitorStation(BaseModel):
-    station_hash: str
-    operator: str
-    station_name: str
-    distance_km: float
-    current_price: Optional[float]
-
-
-class GeoCompetitionResponse(BaseModel):
-    base_station: StationBase
-    competitors: List[CompetitorStation]
-    ylt_price: Optional[float]
-    min_competitor_price: Optional[float]
-    max_competitor_price: Optional[float]
-    cheaper_count: int
-    same_count: int
-    more_expensive_count: int
-
-
-class GeoCompetitionSummary(BaseModel):
-    summary: str
-
-
-app = FastAPI(title="YLT Analytics API")
-
-db = Db(db_url=DB_URL)
-
-
-async def init_db():
-    await db.init_db()
-
-
-async def close_db():
-    await db.close()
-
-
-@app.on_event("startup")
-async def on_startup():
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    logger.info("YLT Analytics API startup")
     await init_db()
+    try:
+        yield
+    finally:
+        logger.info("YLT Analytics API shutdown")
+        await close_db()
 
 
-@app.on_event("shutdown")
-async def on_shutdown():
-    await close_db()
+app = FastAPI(title="YLT Analytics API", lifespan=lifespan)
+
+static_dir = os.path.join(project_root, "static")
+app.mount("/static", StaticFiles(directory=static_dir), name="static")
 
 
-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
+app.include_router(router)
 
 
-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 = None
-    max_price = 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,
-    )
-
-
-@app.get("/health")
-async def health():
-    return {"status": "ok"}
-
-
-@app.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)
-
-
-@app.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 = []
-    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)
+if __name__ == "__main__":
+    logger.info("Starting YLT Analytics API with uvicorn on http://0.0.0.0:8000")
+    import uvicorn
 
+    uvicorn.run(app, host="0.0.0.0", port=8000)

static/index.html

@@ -0,0 +1,235 @@
+<!DOCTYPE html>
+<html>
+<head>
+<meta charset="utf-8">
+<title>驿来特价格分析大屏</title>
+<style>
+body{margin:0;font-family:system-ui,-apple-system,BlinkMacSystemFont,"Segoe UI",sans-serif;background:#050816;color:#e5e7eb;}
+#app{display:flex;flex-direction:row;height:100vh;}
+.left-panel{flex:3;padding:16px;box-sizing:border-box;display:flex;flex-direction:column;gap:12px;}
+.right-panel{flex:2;padding:16px;box-sizing:border-box;border-left:1px solid #111827;background:#020617;}
+.controls{display:flex;flex-wrap:wrap;gap:8px;margin-bottom:4px;align-items:center;}
+.controls input{padding:6px 8px;border-radius:4px;border:1px solid #374151;background:#020617;color:#e5e7eb;}
+.controls button{padding:6px 12px;border-radius:4px;border:none;background:#2563eb;color:#f9fafb;cursor:pointer;}
+.controls button:disabled{opacity:.5;cursor:not-allowed;}
+.controls-spacer{flex:1;}
+.station-list{flex:0 0 220px;border:1px solid #111827;border-radius:8px;background:#020617;overflow:hidden;display:flex;flex-direction:column;}
+.station-list-header{padding:8px 12px;border-bottom:1px solid #111827;font-size:14px;background:#020617;}
+.station-table{width:100%;border-collapse:collapse;font-size:13px;}
+.station-table th,.station-table td{padding:6px 8px;border-bottom:1px solid #111827;}
+.station-table th{background:#020617;color:#9ca3af;text-align:left;}
+.station-row{cursor:pointer;}
+.station-row:hover{background:#111827;}
+.station-row.active{background:#1d283a;}
+#chart{flex:1;border:1px solid #111827;border-radius:8px;background:#0b1120;}
+.price-table{flex:0 0 260px;border:1px solid #111827;border-radius:8px;background:#020617;padding:8px;box-sizing:border-box;overflow:auto;}
+.price-table-title{font-size:14px;margin-bottom:4px;}
+.price-table-inner{width:100%;border-collapse:collapse;font-size:12px;}
+.price-table-inner th,.price-table-inner td{padding:4px 6px;border-bottom:1px solid #111827;}
+.price-table-inner th{background:#020617;color:#9ca3af;text-align:right;}
+.price-table-inner th:first-child,.price-table-inner td:first-child{text-align:left;}
+.ai-title{font-size:16px;margin-bottom:8px;}
+.ai-box{height:calc(100% - 40px);border-radius:8px;border:1px solid #111827;background:#020617;padding:12px;box-sizing:border-box;white-space:pre-wrap;overflow:auto;font-size:14px;line-height:1.6;}
+.label{font-size:14px;margin-right:8px;}
+</style>
+</head>
+<body>
+<div id="app">
+<div class="left-panel">
+<div class="controls">
+<span class="label">API</span>
+<input v-model="apiBase" style="min-width:220px;">
+<span class="label">搜索驿来特场站</span>
+<input v-model="searchKeyword" placeholder="输入名称或地址关键字" style="min-width:220px;">
+<button @click="loadStations">查询场站</button>
+<div class="controls-spacer"></div>
+<span class="label">当前场站：{{ selectedStation ? selectedStation.station_name : "未选择" }}</span>
+<button @click="startAiStream" :disabled="!selectedStation || aiLoading">AI价差分析</button>
+</div>
+<div class="station-list">
+<div class="station-list-header">驿来特场站列表</div>
+<table class="station-table">
+<thead>
+<tr>
+<th style="width:32%;">场站名称</th>
+<th style="width:48%;">地址</th>
+<th style="width:10%;">当前价</th>
+<th style="width:10%;">操作</th>
+</tr>
+</thead>
+<tbody>
+<tr v-for="s in stations" :key="s.station_hash" class="station-row" :class="{active:selectedStation && selectedStation.station_hash===s.station_hash}" @click="selectStation(s)">
+<td>{{ s.station_name }}</td>
+<td>{{ s.address }}</td>
+<td>{{ formatCell(s.current_price) }}</td>
+<td><button @click.stop="selectStation(s)" :disabled="loading">查看价差</button></td>
+</tr>
+<tr v-if="stations.length===0">
+<td colspan="4">暂无数据，请先查询场站</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div id="chart"></div>
+<div class="price-table" v-if="priceTableColumns.length">
+<div class="price-table-title">24 小时分时电价表（元/度）</div>
+<table class="price-table-inner">
+<thead>
+<tr>
+<th v-for="col in priceTableColumns" :key="col">{{ col }}</th>
+</tr>
+</thead>
+<tbody>
+<tr v-for="(row,idx) in priceTableRows" :key="idx">
+<td v-for="(cell,j) in row" :key="j">{{ formatCell(cell) }}</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="right-panel">
+<div class="ai-title">AI 辅助分析</div>
+<div class="ai-box">{{ aiText || placeholder }}</div>
+</div>
+</div>
+<script src="https://unpkg.com/vue@3/dist/vue.global.prod.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/axios/dist/axios.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/echarts@5/dist/echarts.min.js"></script>
+<script>
+const {createApp,onMounted,ref} = Vue
+createApp({
+setup(){
+const apiBase = ref(window.location.origin || "http://localhost:8000")
+const stationHash = ref("")
+const aiText = ref("")
+const placeholder = ref("在左侧列表中选择驿来特场站，点击“查看价差”加载24小时分时电价与竞品对比，再点击“AI价差分析”获取模型给出的策略建议。")
+const loading = ref(false)
+const aiLoading = ref(false)
+const stations = ref([])
+const searchKeyword = ref("")
+const selectedStation = ref(null)
+const priceTableColumns = ref([])
+const priceTableRows = ref([])
+let chartInstance = null
+let es = null
+const initChart = () => {
+const dom = document.getElementById("chart")
+if (dom && !chartInstance) {
+chartInstance = echarts.init(dom)
+}
+}
+const loadStations = async () => {
+try{
+const url = apiBase.value + "/api/ylt/stations"
+const params = searchKeyword.value ? {params:{q:searchKeyword.value}} : {}
+const res = await axios.get(url,params)
+stations.value = Array.isArray(res.data) ? res.data : []
+if (!selectedStation.value && stations.value.length > 0) {
+selectStation(stations.value[0])
+}
+}catch(e){
+console.error(e)
+}
+}
+const buildPriceTable = data => {
+const cols = []
+cols.push("时段")
+cols.push("驿来特")
+data.competitors.forEach(c => {
+cols.push(c.operator)
+})
+priceTableColumns.value = cols
+const rows = []
+for (let i = 0; i < data.hours.length; i++) {
+const row = []
+row.push(data.hours[i] + ":00")
+row.push(data.ylt.series[i])
+data.competitors.forEach(c => {
+row.push(c.series[i])
+})
+rows.push(row)
+}
+priceTableRows.value = rows
+}
+const loadComparison = async () => {
+if (!stationHash.value) return
+loading.value = true
+try{
+const url = apiBase.value + "/api/ylt/pricing/comparison/" + stationHash.value
+const res = await axios.get(url)
+const data = res.data
+const hours = data.hours.map(h => h + ":00")
+const series = []
+series.push({
+name:"驿来特",
+type:"line",
+smooth:true,
+data:data.ylt.series
+})
+data.competitors.forEach(c=>{
+series.push({
+name:c.operator,
+type:"line",
+smooth:true,
+data:c.series
+})
+})
+buildPriceTable(data)
+const option = {
+tooltip:{trigger:"axis"},
+legend:{data:series.map(s=>s.name),textStyle:{color:"#e5e7eb"}},
+xAxis:{type:"category",data:hours,axisLine:{lineStyle:{color:"#4b5563"}},axisLabel:{color:"#9ca3af"}},
+yAxis:{type:"value",name:"元/度",axisLine:{lineStyle:{color:"#4b5563"}},axisLabel:{color:"#9ca3af"},splitLine:{lineStyle:{color:"#111827"}}},
+grid:{left:40,right:20,top:30,bottom:30},
+series:series
+}
+initChart()
+chartInstance.setOption(option)
+}finally{
+loading.value = false
+}
+}
+const selectStation = s => {
+selectedStation.value = s
+stationHash.value = s.station_hash
+loadComparison()
+}
+const startAiStream = () => {
+if (!selectedStation.value || !stationHash.value) return
+if (es) {
+es.close()
+es = null
+}
+aiText.value = ""
+aiLoading.value = true
+const url = apiBase.value + "/api/ylt/pricing/comparison/" + stationHash.value + "/sse"
+es = new EventSource(url)
+es.onmessage = ev => {
+aiText.value += ev.data
+}
+es.onerror = () => {
+aiLoading.value = false
+if (es) {
+es.close()
+es = null
+}
+}
+}
+onMounted(()=>{
+initChart()
+loadStations()
+})
+const formatCell = v => {
+if (v === null || v === undefined || v === "") return "-"
+if (typeof v === "number") {
+if (Number.isNaN(v)) return "-"
+return v.toFixed(2)
+}
+return v
+}
+return {apiBase,stationHash,aiText,placeholder,loading,aiLoading,stations,searchKeyword,selectedStation,priceTableColumns,priceTableRows,loadStations,loadComparison,selectStation,startAiStream,formatCell}
+}
+}).mount("#app")
+</script>
+</body>
+</html>