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71 lines
2.5 KiB
Python
71 lines
2.5 KiB
Python
# python3
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# -*- coding: utf-8 -*-
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# @Time : 2021/12/23 23:04
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# @Author : yzyyz
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# @Email : youzyyz1384@qq.com
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# @File : other_than.py
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# @Software: PyCharm
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from utils.http_utils import AsyncHttpx
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from typing import Optional
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from services.log import logger
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import re
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import json
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__doc__ = """爬虫实现国外疫情数据（找不到好接口）"""
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def intcomma(value) -> str:
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"""
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数字格式化
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"""
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orig = str(value)
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new = re.sub(r"^(-?\d+)(\d{3})", r"\g<1>,\g<2>", orig)
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return new if orig == new else intcomma(new)
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async def get_other_data(place: str) -> Optional[str]:
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"""
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:param place: 地名
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:return: 格式化字符串
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"""
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try:
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html = (
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(await AsyncHttpx.get("https://news.ifeng.com/c/special/7uLj4F83Cqm"))
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.text.replace("\n", "")
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.replace(" ", "")
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)
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except Exception as e:
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logger.error(f"疫情查询发生错误 {type(e)}：{e}")
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return None
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find_data = re.compile(r"varallData=(.*?);</script>")
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sum_ = re.findall(find_data, html)[0]
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sum_ = json.loads(sum_)
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other_country = sum_["yiqing_v2"]["dataList"][29]["child"]
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for country in other_country:
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if place == country["name2"]:
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return (
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f"{place} 疫情数据：\n"
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"——————————————\n"
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f"新增病例：{intcomma(country['quezhen_add'])}\n"
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f"现有确诊：{intcomma(country['quezhen_xianyou'])}\n"
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f"累计确诊：{intcomma(country['quezhen'])}\n"
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f"累计治愈：{intcomma(country['zhiyu'])}\n"
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f"死亡：{intcomma(country['siwang'])}\n"
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"——————————————"
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# f"更新时间：{country['sys_publishDateTime']}"
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# 时间无法精确到分钟，网页用了js我暂时找不到
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)
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else:
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for city in country["child"]:
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if place == city["name3"]:
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return (
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f"{place} 疫情数据：\n"
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"——————————————\n"
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f"新增病例：{intcomma(city['quezhen_add'])}\n"
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f"累计确诊：{intcomma(city['quezhen'])}\n"
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f"累计治愈：{intcomma(city['zhiyu'])}\n"
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f"死亡：{intcomma(city['siwang'])}\n"
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"——————————————"
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)
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return None
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