from configs.path_config import TEXT_PATH from typing import List from pathlib import Path from utils.http_utils import AsyncHttpx import ujson as json china_city = Path(TEXT_PATH) / "china_city.json" data = {} url = "https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5" async def get_yiqing_data(area: str): """ 查看疫情数据 :param area: 省份/城市 """ global data province = None city = None province_type = "省" if area == "中国": province = area province_type = "" elif area[-1] == '省' or (area in data.keys() and area[-1] != "市"): province = area if area[-1] != "省" else area[:-1] if len(data[province]) == 1: province_type = "市" city = "" else: area = area[:-1] if area[-1] == "市" else area for p in data.keys(): if area in data[p]: province = p city = area epidemic_data = json.loads((await AsyncHttpx.get(url)).json()["data"]) last_update_time = epidemic_data["lastUpdateTime"] if area == "中国": data_ = epidemic_data["areaTree"][0] else: data_ = [ x for x in epidemic_data["areaTree"][0]["children"] if x["name"] == province ][0] if city: try: data_ = [x for x in data_["children"] if x["name"] == city][0] except IndexError: return "未查询到..." confirm = data_["total"]["confirm"] # 累计确诊 heal = data_["total"]["heal"] # 累计治愈 dead = data_["total"]["dead"] # 累计死亡 dead_rate = data_["total"]["deadRate"] # 死亡率 heal_rate = data_["total"]["healRate"] # 治愈率 now_confirm = data_["total"]["nowConfirm"] # 目前确诊 suspect = data_["total"]["suspect"] # 疑似 add_confirm = data_["today"]["confirm"] # 新增确诊 x = f"{city}市" if city else f"{province}{province_type}" return ( f"{x} 疫情数据:\n" f"\t目前确诊:\n" f"\t\t确诊人数:{now_confirm}(+{add_confirm})\n" f"\t\t疑似人数:{suspect}\n" f"==================\n" f"\t累计数据:\n" f"\t\t确诊人数:{confirm}\n" f"\t\t治愈人数:{heal}\n" f"\t\t死亡人数:{dead}\n" f"\t治愈率:{heal_rate}%\n" f"\t死亡率:{dead_rate}%\n" f"更新日期:{last_update_time}" ) def get_city_and_province_list() -> List[str]: """ 获取城市省份列表 """ global data if not data: try: with open(china_city, "r", encoding="utf8") as f: data = json.load(f) except FileNotFoundError: data = {} city_list = ["中国"] for p in data.keys(): for c in data[p]: city_list.append(c) city_list.append(p) return city_list