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⛺️ A Set of Tools to Simplify Your Python Code.

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mountains

travis-ci Coverage Status pypi package

在开发Python的过程中经常会有一些常用的方法和工具类,因此将这些代码集成在一起,在开发新东西的时候就能直接调用,加速开发。

安装

pip install mountains

功能

  1. Python 2-3 兼容,大部分代码都尽可能做了兼容
  2. 日期转换,各种日期、字符串、时间戳直接的转换
  3. SSHClient
  4. Tornado 的异步请求
  5. Random HTTP User Agent
  6. 文件、Excel、json 读写
  7. ...

日期转换

datetime、time、时间戳、日期字符串之间的转换

import time
from datetime import datetime
from mountains.datetime import converter

date_str = '2016-10-30 12:30:30'
dt = datetime(year=2016, month=10, day=30, hour=12, minute=30, second=30)
t = dt.timetuple()
ts = int(time.mktime(t))
ts_ms = int(time.mktime(t) * 1000)

# 字符串转 datetime
dt = converter.str2datetime(date_str)
# 字符串转 time
converter.str2time(date_str)
# 日期字符串转时间戳,结果为秒
converter.str2timestamp(date_str)
# 日期字符串转时间戳,结果为毫秒
converter.str2timestamp(date_str, millisecond=True)
# datetime 转字符串,默认格式 %Y-%m-%d %H:%M:%S
converter.datetime2str(dt)
# datetime 转字符串,指定格式
converter.datetime2str(dt, '%Y-%m-%d')

日志功能

对原生的 logging 进行了封装,使用起来更简单

from mountains import logging
from mountains.logging import StreamHandler, FileHandler, RotatingFileHandler, TimedRotatingFileHandler

# 配置日志,输出到控制台、保存到文件、日志级别、输出格式等,文件默认保存到 log.txt
logging.init_log(StreamHandler(format=logging.FORMAT_SIMPLE), FileHandler(format=logging.FORMAT_VERBOSE, level=logging.DEBUG))
# RotatingFileHandler 按文件大小分割日志文件
logging.init_log(StreamHandler(format=logging.FORMAT_SIMPLE), RotatingFileHandler(format=logging.FORMAT_VERBOSE, level=logging.DEBUG))
# TimedRotatingFileHandler 按时间分割日志文件
logging.init_log(StreamHandler(format=logging.FORMAT_SIMPLE), TimedRotatingFileHandler(format=logging.FORMAT_VERBOSE, level=logging.DEBUG))

# 使用方法与原生的 logging 一样
logger = logging.getLogger(__name__)
logger.debug('hello')

Excel 读写

from mountains.file.excel import read_excel, write_excel, edit_excel
# 读 Excel 文件
data = read_excel('filename.xlsx')

# 写新的 Excel
excel_data = [
    {
        'col1': '123',
        'col2': '456'
    },
    {
        'col1': '123',
        'col2': '456'
    },
]

headers = ['col1', 'col2']
write_excel(headers, excel_data, 'filename.xlsx')

# 编辑 Excel,打开已有的 Excel,往里面填充数据
edit_data = {
    'I2': '123'
}
edit_excel('test.xlsx', sheet_index=0, data=edit_data, output_filename='new_test.xlsx')

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