添加降雨量与持续时间接口
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@@ -28,6 +28,7 @@ class RainfallRepository:
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SELECT max(id) as max_id
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FROM xian_meteorology
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WHERE datetime BETWEEN %s AND %s
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AND is_delete = 0
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"""
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result = db_helper.execute_query_one(sql, (start_time, end_time))
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@@ -58,6 +59,7 @@ class RainfallRepository:
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CAST(rainfall_1h AS DOUBLE PRECISION) as rainfall_1h
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FROM xian_meteorology
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WHERE datetime BETWEEN %s AND %s
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AND is_delete = 0
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ORDER BY lon, lat, datetime DESC
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"""
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@@ -100,5 +102,100 @@ class RainfallRepository:
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return station_data
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def get_district_rainfall_summary(self, query_time, region_code: Optional[str] = None) -> List[Dict[str, Any]]:
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"""
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按行政区聚合降雨统计(取区内最大站点值)
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Args:
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query_time: 查询时间
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region_code: 行政区划代码,不传则返回所有区
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Returns:
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[{district_name, district_code, rainfall, duration_hours}, ...]
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"""
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start_time, end_time = time_converter.to_db_time_range(query_time, hours=72)
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# 一次查询:area_code + lon + lat + rainfall_1h
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sql = """
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SELECT area_code, lon, lat, datetime,
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CAST(rainfall_1h AS DOUBLE PRECISION) as rainfall_1h
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FROM xian_meteorology
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WHERE datetime BETWEEN %s AND %s
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AND is_delete = 0
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ORDER BY area_code, lon, lat, datetime DESC
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"""
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rows = db_helper.execute_query(sql, (start_time, end_time))
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if not rows:
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return []
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# 按站点分组,计算 accum_rain + duration_hours(复用现有算法)
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from itertools import groupby
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station_stats: Dict[tuple, Dict[str, Any]] = {} # (area_code, lon, lat) → stats
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for (area_code, lon, lat), group in groupby(rows,
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key=lambda r: (r['area_code'], r['lon'], r['lat'])):
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accum_rain = 0.0
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duration_hours = 0
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consecutive_no_rain = 0
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for row in group:
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rainfall = float(row['rainfall_1h']) if row['rainfall_1h'] else 0.0
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if rainfall > 0:
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accum_rain += rainfall
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duration_hours += 1
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consecutive_no_rain = 0
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else:
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consecutive_no_rain += 1
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if consecutive_no_rain >= 3:
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break
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if accum_rain > 0:
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duration_hours += 1
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key = (area_code, lon, lat)
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station_stats[key] = {
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'area_code': area_code,
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'accum_rain': accum_rain,
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'duration_hours': duration_hours
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}
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# 按 area_code 聚合:取区内最大降雨站点
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district_max: Dict[str, Dict[str, Any]] = {}
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for key, stats in station_stats.items():
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code = stats['area_code']
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if region_code and code != region_code:
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continue
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if code not in district_max or stats['accum_rain'] > district_max[code]['rainfall']:
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district_max[code] = {
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'district_code': code,
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'rainfall': round(stats['accum_rain'], 1),
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'duration_hours': stats['duration_hours']
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}
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if not district_max:
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return []
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# 查 xian_district 获取名称
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codes = list(district_max.keys())
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placeholders = ', '.join(['%s'] * len(codes))
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sql = f"SELECT code, name FROM xian_district WHERE code IN ({placeholders}) AND is_delete = 0"
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district_rows = db_helper.execute_query(sql, tuple(codes))
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code_to_name = {r['code']: r['name'] for r in district_rows}
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result = []
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for code, info in district_max.items():
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name = code_to_name.get(code)
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if name is None:
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continue # 跳过 xian_district 中不存在的代码
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result.append({
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'district_name': name,
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'district_code': code,
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'rainfall': info['rainfall'],
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'duration_hours': info['duration_hours']
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})
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# 按名称排序
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result.sort(key=lambda x: x['district_name'])
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return result
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# 创建全局实例
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rainfall_repository = RainfallRepository()
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