Linux | 安装 lb-toolkits

最近又需要下载葵花的数据，之前分享过一次代码。今天发现之前的环境不小心被我删了，而运行相关的代码需要安装lb-toolkits这个库，今天正好记录了一下安装lb-toolkits的过程。

这里安装的版本是1.2.4，别问为什么是这个版本，因为只安到了这个版本才成功。

• https://pypi.org/project/lb-toolkits/1.2.4/#files

本来是直接通过

pip install lb-toolkits==1.2.4

命令直接安装的，但是发现一直报错。

安装过程

下面记录一下成功安装的过程

安装python版本

这里先安装python=3.11的版本

 conda create -n py311  python=3.11 

安装相关依赖

由于lb-toolkits需要相关的依赖环境

库名	版本	库名	版本	库名	版本
numpy	1.2.0	pyhdf	0.10.0	h5py	1.0.0
netcdf4	1.0.0	tqdm	4.0.0	gdal	2.0.0
pillow	7.0.0	paramiko	2.10.0	cdsapi	0.5.0

所以在安装之前先安装他的依赖

conda install conda-forge::pyhdf h5py netcdf4 tqdm gdal pillow paramiko cdsapi

安装lb-toolkits 1.2.4

依赖环境安装完了，然后再使用pip 安装具体的版本

pip install lb-toolkits==1.2.4

安装成功了

测试脚本

运行相关脚本前需要再装一个库

conda install bs4

运行相关脚本，下载2023年8月和9月的数据：

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Apr  6 14:25:52 2023@author: jianpu"""
import os
import sys
import datetime
import timefrom lb_toolkits.tools import ftppro
#from lb_toolkits.tools import writejsonclass downloadH8(object):def __init__(self, username, password):self.ftp = ftppro(FTPHOST, username, password)def search_ahi8_l1_netcdf(self, starttime, endtime=None, pattern=None, skip=False):'''下载葵花8号卫星L1 NetCDF数据文件Parameters----------starttime : datetime下载所需数据的起始时间endtime : datetime下载所需数据的起始时间pattern: list, optional模糊匹配参数Returns-------list下载的文件列表'''if endtime is None :endtime = starttimedownfilelist = []nowdate = starttimewhile nowdate <= endtime :# 拼接H8 ftp 目录sourceRoot = os.path.join('/jma/netcdf', nowdate.strftime("%Y%m"), nowdate.strftime("%d"))sourceRoot = sourceRoot.replace('\\','/')# 获取文件列表filelist = self.GetFileList(starttime, endtime, sourceRoot, pattern)# filelist = [f for f in filelist if f.startswith('NC_H08_') and f.endswith('.06001_06001.nc')]if len(filelist) == 0 :nowdate += datetime.timedelta(days=1)print('未匹配当前时间【%s】的文件' %(nowdate.strftime('%Y-%m-%d')))continuenowdate += datetime.timedelta(days=1)downfilelist.extend(filelist)return downfilelistdef GetFileList(self, starttime, endtime, srcpath, pattern=None):''' 根据输入时间，匹配获取H8 L1数据文件名  '''downfiles = []srcpath = srcpath.replace('\\', '/')filelist = self.ftp.listdir(srcpath)filelist.sort()for filename in filelist :namelist = filename.split('_')nowdate = datetime.datetime.strptime('%s %s' %(namelist[2], namelist[3]), '%Y%m%d %H%M')if (nowdate < starttime) | (nowdate > endtime) :continuedownflag = True# 根据传入的匹配参数，匹配文件名中是否包含相应的字符串if pattern is not None :if isinstance(pattern, list) :for item in pattern :if item in filename :downflag = True# breakelse:downflag = Falsebreakelif isinstance(pattern, str) :if pattern in filename :downflag = Trueelse:downflag = Falseif downflag :srcname = os.path.join(srcpath, filename)srcname = srcname.replace('\\','/')downfiles.append(srcname)return downfilesdef download(self, outdir, srcfile, blocksize=1*1024, skip=False):"""通过ftp接口下载H8 L1数据文件"""if not os.path.exists(outdir):os.makedirs(outdir)print('成功创建路径：%s' %(outdir))if isinstance(srcfile, list) :count = len(srcfile)for srcname in srcfile:count -= 1self._download(outdir, srcname, blocksize=blocksize, skip=skip, count=count+1)elif isinstance(srcfile, str) :self._download(outdir, srcfile, blocksize=blocksize, skip=skip)def _download(self, outdir, srcname, blocksize=1*1024, skip=False, count=1):print('='*100)basename = os.path.basename(srcname)dstname = os.path.join(outdir, basename)if skip :return srcnameif os.path.isfile(dstname) :print('文件已存在，跳过下载>>【%s】' %(dstname))return srcnamestime = time.time()print(datetime.datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S'),'开始下载文件【%d】: %s'%(count, srcname))if self.ftp.downloadFile(srcname, outdir, blocksize=blocksize):print(datetime.datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S'),'成功下载文件【%s】:%s' %(count, dstname))else:print(datetime.datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S'),'下载文件失败【%s】:%s' %(count, dstname))etime = time.time()print('下载文件共用%.2f秒' %(etime - stime))return srcnamedef check_data_completeness(file_list, start_time, end_time):expected_num_files = (end_time - start_time).days *48 + 48  # 48 show 30min/time; 144 show 10min/timeactual_num_files = len(file_list)if actual_num_files == expected_num_files:print("已经下载了全部数据。")else:print("有 %d 个数据文件缺失。" % (expected_num_files - actual_num_files))expected_file_names = []actual_file_names = []for i in range(expected_num_files):file_time = start_time + datetime.timedelta(minutes=i * 30)file_name = "NC_H08_%s_R21_FLDK.06001_06001.nc" % (file_time.strftime("%Y%m%d_%H%M"))expected_file_names.append(file_name)for file_path in file_list:file_name = os.path.basename(file_path)actual_file_names.append(file_name)missing_file_names = set(expected_file_names) - set(actual_file_names)for missing_file_name in missing_file_names:print("缺失文件：%s" % missing_file_name)FTPHOST='ftp.ptree.jaxa.jp'# create an instance of the downloadH8 class
h8_downloader = downloadH8('xxx', 'xxx')
## 2016 1440\0240   loss
# search for H8 files for a specific date
start_time = datetime.datetime(2023, 8, 27)
end_time = datetime.datetime(2023, 9,7,23, 59, 59)
file_list = h8_downloader.search_ahi8_l1_netcdf(start_time, end_time,pattern=['R21','02401_02401'])# 选取每30分钟的数据文件名
selected_files = []
for file in file_list:if file.endswith(".nc"):if file[40:42] in ["00", "30"]:selected_files.append(file)# 打印选取的文件名
print(selected_files)check_data_completeness(selected_files,start_time, end_time)from tqdm import tqdm for file in tqdm(selected_files):h8_downloader.download('/DatadiskExt/down_h8_code/', file)

使用nohup将脚本提交到后台，

nohup python down_kuihua8_30min.py  > down_H8-2023-08_09-15.log 2>&1 & 

并使用tail命令查看相关下载的日志：

 tail -f down_H8-2023-08_09-15.log 

可以发现数据正在后台下载