117 lines
4.7 KiB
Python
117 lines
4.7 KiB
Python
import os
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import Download_AOD as Daod
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import datetime as dt
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today = dt.date(2022, 8, 1)
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print(today)
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_yearNum = today.year
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_monNum = today.month
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_dayNum = today.day
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_yearStr = ""
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_monStr = ""
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_dayStr = ""
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_hourStr = [f"0{x}"if x < 10 else str(x) for x in range(23)]
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if __name__ == "__main__":
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# 传入IP地址
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# 传入的YesdayNum在下载日数据时（昨天的）会需要
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ftp = Daod.myFTP(host='ftp.ptree.jaxa.jp', YesdayNum=_dayNum - 1)
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# 传入用户名和密码，可以自行注册并修改
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ftp.Login('jh_zhao_asagi.waseda.jp', 'SP+wari8')
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# 从目标路径ftp_filePath将文件下载至本地路径dst_filePath
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dst_filePath = './data'
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dst_filePath = dst_filePath + "/" + dt.datetime.strftime(today, '%Y-%m-%d')
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if not os.path.exists(dst_filePath):
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os.makedirs(dst_filePath)
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'''
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下载小时数据和日数据时，前置路径都是：/pub/himawari/L3/ARP/031(20-22年)
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下载每10分钟数据时，前置路径是：/pub/himawari/L2/ARP/030(20-22年)
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下载日数据时，示例路径：/pub/himawari/L3/ARP/031/202008/daily/
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下载小时数据时，示例路径：/pub/himawari/L3/ARP/031/202008/19/
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下载10分钟数据时，示例路径：/pub/himawari/L2/ARP/030/202210/10/
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'''
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print("请选择要下载的数据：")
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_choice = int(input("1.AOD小时数据（当天所有） 2.AOD日均数据（昨天） 3.PAR分钟数据（当天所有）\n"))
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# Download_Path用于存储下载的原始数据
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Download_Path = ""
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# Analysis_Path用于存储处理后的数据（即转为TIFF后的数据）的文件夹
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Analysis_Path = ""
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# 如果选择为AOD小时数据
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if _choice == 1:
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_yearStr, _monStr, _dayStr = Daod.getDateStr(_yearNum, _monNum, _dayNum)
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ftp_filePath = "/pub/himawari/L3/ARP/031" + "/" + _yearStr + _monStr + "/" + _dayStr + "/"
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Download_Path = dst_filePath + "/AOD_Hourly_Download"
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if not os.path.exists(Download_Path):
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os.makedirs(Download_Path)
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Daod.deleteFile(Download_Path) # 删除存储路径中的临时文件（也就是上次未下载完整的文件）
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Analysis_Path = dst_filePath + "/AOD_Hourly_Analysis"
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if not os.path.exists(Analysis_Path):
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os.makedirs(Analysis_Path)
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ftp.DownLoadFileTree(Download_Path, ftp_filePath, _choice)
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# 如果选择为AOD日数据（昨天的）
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elif _choice == 2:
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_yearNum, _monNum, _dayNum = Daod.getYesterday(_yearNum, _monNum, _dayNum)
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_yearStr, _monStr, _dayStr = Daod.getDateStr(_yearNum, _monNum, _dayNum)
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ftp_filePath = "/pub/himawari/L3/ARP/030" + "/" + _yearStr + _monStr + "/" + "daily" + "/"
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Download_Path = dst_filePath + "/AOD_Daily_Download"
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if not os.path.exists(Download_Path):
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os.makedirs(Download_Path)
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Daod.deleteFile(Download_Path) # 删除存储路径中的临时文件（也就是上次未下载完整的文件）
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Analysis_Path = dst_filePath + "/AOD_Daily_Analysis"
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if not os.path.exists(Analysis_Path):
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os.makedirs(Analysis_Path)
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ftp.DownLoadFileTree(Download_Path, ftp_filePath, _choice)
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elif _choice == 3:
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while today <= dt.date.today():
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_yearNum = today.year
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_monNum = today.month
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_dayNum = today.day
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_yearStr = ""
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_monStr = ""
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_dayStr = ""
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_hourStr = [f"0{x}" if x < 10 else str(x) for x in range(23)]
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_yearStr, _monStr, _dayStr = Daod.getDateStr(_yearNum, _monNum, _dayNum)
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ftp_filePath = "/pub/himawari/L2/PAR/020" + "/" + _yearStr + _monStr + "/" + _dayStr + "/"
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Download_Path = dst_filePath + "/PAR_Minutes_Download"
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if not os.path.exists(Download_Path):
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os.makedirs(Download_Path)
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Daod.deleteFile(Download_Path) # 删除存储路径中的临时文件（也就是上次未下载完整的文件）
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for hour in _hourStr:
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print(f"{ftp_filePath}{hour}/")
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ftp.DownLoadFileTree(Download_Path, f"{ftp_filePath}{hour}/", _choice)
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# Analysis_Path = dst_filePath + "/PAR_Minutes_Analysis"
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# if not os.path.exists(Analysis_Path):
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# os.makedirs(Analysis_Path)
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today = today + dt.timedelta(days=1)
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else:
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print("选择错误！")
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# 下载结束
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ftp.close()
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print("下载完成！")
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# 下面开始数据处理
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# 读取所有nc数据
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# data_list = glob.glob(Download_Path + "\\*.nc")
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# # for循环完成解析
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# for i in range(len(data_list)):
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# data = data_list[i]
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# trans.NC_to_tiffs(data, Analysis_Path)
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# print(data + "-----转tif成功")
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print("----转换结束----")
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