Metadata-Version: 2.1
Name: meesee
Version: 0.9.4
Summary: Task queue, Long lived workers process parallelization, with Redis as backend
Home-page: https://github.com/Attumm/meesee
Author: Melvin Bijman
Author-email: bijman.m.m@gmail.com
License: MIT
Description: # Meesee
        [![Build Status](https://travis-ci.org/Attumm/meesee.svg?branch=master)](https://travis-ci.org/Attumm/meesee)
        
        Task queue, Long lived workers process parallelization, with Redis as backend.
        The project is still used in production and has to knowlegde been used in 3 companies in production setting.
        
        ## Examples
        
        Create my_func that will 
        1. print starting message.
        2. Sleep 1 second.
        3. print a ending message.
        
        Let's start 10 of those.
        
        
        ```python
        import time
        from meesee import startapp
        
        def my_func(item, worker_id):
            print("hello, look at me")
            time.sleep(1)
            print('finished item', locals())
        
        
        startapp(my_func, workers=10)
        ```
        
        Open another terminal, Let's produce some tasks
        ```python
        from meesee import RedisQueue, config
        
        def produce(items):
            r = RedisQueue(**config)
            for i in range(items):
                r.send(i)
        
        produce(10)
        
        ```
        
        Great, the placement of both scripts can be on any machine with connectivity to the redis instance.
        
        ### Prerequisites
        
        #### Redis
        
        For Debian, Ubuntu
        ```
        sudo apt-get install redis-server
        ```
        For Centos, Red Hat
        ```
        sudo yum install redis
        ```
        
        ### Installing
        
        Create a virtualenv for your project.
        Install meesee:
        
        ```
        $ . /path/to/virtualenv/bin/activate
        $  pip install meesee
        ```
        
        ## Authors
        
        * **Melvin Bijman** 
        * **Mark Moes**
        
        ## License
        
        This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details
        
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Database
Classifier: Topic :: System :: Distributed Computing
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
