69 lines
2.3 KiB
Python
69 lines
2.3 KiB
Python
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"""价格路由"""
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from fastapi import APIRouter, Query
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from typing import Optional
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from datetime import datetime
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from api.models.response import PriceHistoryResponse
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from api.middleware.response import ApiResponse, PaginatedData
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from database import db
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router = APIRouter(prefix="/api/v1/prices", tags=["prices"])
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@router.get("/latest", response_model=ApiResponse)
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async def get_latest_prices(
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category: Optional[str] = Query(None, description="品类筛选"),
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source: Optional[str] = Query(None, description="来源筛选"),
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limit: int = Query(50, ge=1, le=200, description="返回数量")
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):
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"""获取最新价格记录"""
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with db.get_cursor() as cursor:
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sql = """
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SELECT ph.*, c.name as collection_name, c.category, c.serial_number
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FROM price_history ph
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LEFT JOIN collections c ON ph.collection_id = c.id
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"""
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params = []
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where_clauses = []
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if category:
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where_clauses.append("c.category = %s")
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params.append(category)
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if source:
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where_clauses.append("ph.source = %s")
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params.append(source)
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if where_clauses:
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sql += " WHERE " + " AND ".join(where_clauses)
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sql += " ORDER BY ph.crawled_at DESC LIMIT %s"
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params.append(limit)
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cursor.execute(sql, params)
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items = cursor.fetchall()
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return ApiResponse.success(items)
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@router.get("/trend", response_model=ApiResponse)
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async def get_price_trend(
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collection_id: int = Query(..., description="藏品ID"),
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days: int = Query(30, ge=1, le=365, description="统计天数")
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):
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"""获取价格趋势（按天统计）"""
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with db.get_cursor() as cursor:
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cursor.execute("""
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SELECT
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DATE(ph.crawled_at) as date,
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AVG(ph.price) as avg_price,
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MIN(ph.price) as min_price,
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MAX(ph.price) as max_price,
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COUNT(*) as record_count
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FROM price_history ph
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WHERE ph.collection_id = %s
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AND ph.crawled_at >= DATE_SUB(NOW(), INTERVAL %s DAY)
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GROUP BY DATE(ph.crawled_at)
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ORDER BY date ASC
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""", (collection_id, days))
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items = cursor.fetchall()
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return ApiResponse.success(items)
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