from scihub import SciHub

sh = SciHub()

# 第一个参数输入论文的网站地址
# path: 文件保存路径
result = sh.download('https://ieeexplore.ieee.org/document/26502', path='paper.pdf')

from scihub import SciHub
sh = SciHub()
result = sh.download('10.1016/j.compeleceng.2020.106640', path='paper2.pdf')

from scihub import SciHub

sh = SciHub()

# 搜索词
keywords = "quant"

# 搜索该关键词相关的论文，limit为篇数
result = sh.search(keywords, limit=10)

print(result)

for index, paper in enumerate(result.get("papers", [])):
    # 批量下载这些论文
    sh.download(paper["doi"], path=f"files/{keywords.replace(' ', '_')}_{index}.pdf")

from scihub import SciHub

sh = SciHub()

# 搜索词
keywords = "quant"

# 搜索该关键词相关的论文，limit为篇数
result = sh.search_by_science_direct(keywords, cookie="你的cookie", limit=10)

print(result)

for index, paper in enumerate(result.get("papers", [])):
    # 批量下载这些论文
    sh.download(paper["doi"], path=f"files/{keywords.replace(' ', '_')}_{index}.pdf")

from scihub import SciHub

sh = SciHub()

# 搜索词
keywords = "quant"

# 搜索该关键词相关的论文，limit为篇数
result = sh.search_by_publons(keywords, limit=10)

print(result)

for index, paper in enumerate(result.get("papers", [])):
    # 批量下载这些论文
    sh.download(paper["doi"], path=f"files/{keywords.replace(' ', '_')}_{index}.pdf")

    async def async_get_direct_url(self, identifier):
        """
        异步获取scihub直链
        """
        async with aiohttp.ClientSession() as sess:
            async with sess.get(self.base_url + identifier) as res:
                logger.info(f"获取 {self.base_url + identifier} 中...")
                # await 等待任务完成
                html = await res.text(encoding='utf-8')
                s = self._get_soup(html)
                frame = s.find('iframe') or s.find('embed')
                if frame:
                    return frame.get('src') if not frame.get('src').startswith('//') \
                        else 'http:' + frame.get('src')
                else:
                    logger.error("Error: 可能是 Scihub 上没有收录该文章, 请直接访问上述页面看是否正常。")
                    return html

def search(keywords: str, limit: int):
    """
    搜索相关论文并下载

    Args:
        keywords (str): 关键词
        limit (int): 篇数
    """

    sh = SciHub()
    result = sh.search(keywords, limit=limit)
    print(result)

    loop = asyncio.get_event_loop()
    # 获取所有需要下载的scihub直链
    tasks = [sh.async_get_direct_url(paper["doi"]) for paper in result.get("papers", [])]
    all_direct_urls = loop.run_until_complete(asyncio.gather(*tasks))
    print(all_direct_urls)

async def job(self, session, url, destination='', path=None):
    """
    异步下载文件
    """
    if not url:
        return
    file_name = url.split("/")[-1].split("#")[0]
    logger.info(f"正在读取并写入 {file_name} 中...")
    # 异步读取内容
    try:
        url_handler = await session.get(url)
        content = await url_handler.read()
    except Exception as e:
        logger.error(f"获取源文件出错: {e}，大概率是下载超时，请检查")
        return str(url)
    with open(os.path.join(destination, path + file_name), 'wb') as f:
        # 写入至文件
        f.write(content)
    return str(url)

async def async_download(self, loop, urls, destination='', path=None):
    """
    触发异步下载任务
    如果你要增加超时时间，请修改 total=300
    """
    async with aiohttp.ClientSession(timeout=aiohttp.ClientTimeout(total=300)) as session:
        # 建立会话session
        tasks = [loop.create_task(self.job(session, url, destination, path)) for url in urls]
        # 建立所有任务
        finished, unfinished = await asyncio.wait(tasks)
        # 触发await，等待任务完成
        [r.result() for r in finished]

import asyncio
from scihub import SciHub


def search(keywords: str, limit: int):
    """
    搜索相关论文并下载

    Args:
        keywords (str): 关键词
        limit (int): 篇数
    """

    sh = SciHub()
    result = sh.search(keywords, limit=limit)
    print(result)

    loop = asyncio.get_event_loop()
    # 获取所有需要下载的scihub直链
    tasks = [sh.async_get_direct_url(paper["doi"]) for paper in result.get("papers", [])]
    all_direct_urls = loop.run_until_complete(asyncio.gather(*tasks))
    print(all_direct_urls)

    # 下载所有论文
    loop.run_until_complete(sh.async_download(loop, all_direct_urls, path=f"files/"))
    loop.close()


if __name__ == '__main__':
    search("quant", 10)

import asyncio
from scihub import SciHub


def fetch_by_doi(dois: list, path: str):
    """
    根据 doi 获取文档
    Args:
        dois: 文献DOI号列表
        path: 存储文件夹
    """

    sh = SciHub()
    loop = asyncio.get_event_loop()
    # 获取所有需要下载的scihub直链
    tasks = [sh.async_get_direct_url(doi) for doi in dois]
    all_direct_urls = loop.run_until_complete(asyncio.gather(*tasks))
    print(all_direct_urls)

    # 下载所有论文
    loop.run_until_complete(sh.async_download(loop, all_direct_urls, path=path))
    loop.close()

if __name__ == '__main__':
    fetch_by_doi(["10.1088/1751-8113/42/50/504005"], f"files/")

pip install Astral

# sun_rise_down.py
import datetime
import astral
location_XiChong = astral.Location(('XiChong', 'China',  22.484786,114.549965, 'Asia/Shanghai', 0))
# 记录西冲地点，注意先经度后维度 
sunrise=location_XiChong.sunrise(date=datetime.date.today(),local=True)
# 计算今天的日出时间
time_sunrise_new = str(sunrise)
print(time_sunrise_new)

python  sun_rise_down.py 

sunrise = location_XiChong.sunrise(date=datetime.date.today(),local=True)

sunrise = location_XiChong.sunrise(date=datetime.date(2019, 8, 17),local=True) 

sunset = location_XiChong.sunset(date=datetime.date(2019, 8, 17), local=True)
time_sunset_new = str(sunset)
print(time_sunset_new)

# sun_rise_down.py 
import datetime
import astral

location_XiChong = astral.Location(('XiChong', 'China',  22.484786,114.549965, 'Asia/Shanghai', 0))
# 记录西冲地点，注意先经度后维度
sunrise = location_XiChong.sunrise(date=datetime.date(2019, 8, 17),local=True)
# 计算相应时间的日出
sunrise_new = str(sunrise)
print(sunrise_new)

sunset = location_XiChong.sunset(date=datetime.date(2019, 8, 17),local=True)
# 计算相应时间的日落
sunset_new = str(sunset)
print(sunset_new) 

python sun_rise_down.py