Metadata-Version: 2.0
Name: WeRoBot
Version: 1.2.0
Summary: WeRoBot: writing WeChat Offical Account Robots with fun
Home-page: https://github.com/whtsky/WeRoBot
Author: whtsky
Author-email: whtsky@me.com
License: MIT License
Keywords: wechat weixin werobot
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: MacOS
Classifier: Operating System :: POSIX
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Utilities
Requires-Dist: bottle
Requires-Dist: requests
Requires-Dist: six
Requires-Dist: xmltodict
Provides-Extra: crypto
Requires-Dist: cryptography; extra == 'crypto'

====================================
WeRoBot
====================================

.. image:: https://img.shields.io/travis/whtsky/WeRoBot/master.svg?maxAge=3600&label=macOS
    :target: https://travis-ci.org/whtsky/WeRoBot
.. image:: https://img.shields.io/appveyor/ci/whtsky/WeRoBot/master.svg?maxAge=3600&label=Windows
    :target: https://ci.appveyor.com/project/whtsky/WeRoBot
.. image:: https://semaphoreci.com/api/v1/whtsky/werobot/branches/master/shields_badge.svg
    :target: https://semaphoreci.com/whtsky/werobot
.. image:: https://codecov.io/gh/whtsky/WeRoBot/branch/master/graph/badge.svg
  :target: https://codecov.io/gh/whtsky/WeRoBot
.. image:: https://img.shields.io/badge/QQ%20Group-283206829-brightgreen.svg?logo=data%3Aimage%2Fsvg%2Bxml%3Bbase64%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%2BPC9zdmc%2B
    :target: https://jq.qq.com/?_wv=1027&k=449sXsV


.. image:: http://werobot-slack.whtsky.com/badge.svg
    :target: http://werobot-slack.whtsky.com

WeRoBot 是一个微信公众号开发框架，采用MIT协议发布。

文档在这里： https://werobot.readthedocs.org/zh_CN/v1.2.0/

安装
========

推荐使用 pip 进行安装 ::

    pip install werobot

如果你没有安装 pip 而且正在使用一台 OS X / Linux 电脑，那么你应该运行 ::

    curl http://peak.telecommunity.com/dist/ez_setup.py | python
    curl https://raw.github.com/pypa/pip/master/contrib/get-pip.py | python

如果你是 Windows 用户， 那么下载 http://peak.telecommunity.com/dist/ez_setup.py 和 https://raw.github.com/pypa/pip/master/contrib/get-pip.py 这两个文件，双击运行。

Hello World
=============

一个非常简单的 Hello World 微信公众号，会对收到的所有文本消息回复 Hello World ::

    import werobot

    robot = werobot.WeRoBot(token='tokenhere')

    @robot.text
    def hello_world():
        return 'Hello World!'

    robot.run()

Session
===========

WeRoBot 在 0.4.0 版本中开始支持 Session ， Session 可以用来方便的记录用户数据 ::

    import werobot

    robot = werobot.WeRoBot(token='tokenhere')

    @robot.text
    def session(message, session):
        last = session.get("last", None)
        if last:
            return last
        session["last"] = message.content
        return '这是你第一次和我说话'

    robot.run()



