Metadata-Version: 2.1
Name: Flask-Executor
Version: 0.1.4
Summary: An easy to use Flask wrapper for concurrent.futures
Home-page: https://github.com/dchevell/flask-executor
Author: Dave Chevell
Author-email: chevell@gmail.com
License: MIT
Description: Flask-Executor
        ==============
        
        [![Build Status](https://travis-ci.org/dchevell/flask-executor.svg?branch=master)](https://travis-ci.org/dchevell/flask-executor)
        [![PyPI Version](https://img.shields.io/pypi/v/Flask-Executor.svg)](https://pypi.python.org/pypi/Flask-Executor)
        [![GitHub license](https://img.shields.io/github/license/dchevell/flask-executor.svg)](https://github.com/dchevell/flask-executor/blob/master/LICENSE)
        
        Sometimes you need a simple task queue without the overhead of separate worker processes or powerful-but-complex libraries beyond your requirements. Flask-Executor is an easy to use wrapper for the `concurrent.futures` module that lets you initialise and configure executors via common Flask application patterns. It's a great way to get up and running fast with a lightweight in-process task queue.
        
        
        Setup
        -----
        
        Flask-Executor is available on PyPI and can be installed with:
        
            pip install flask-executor
        
        The Executor extension can either be initialized directly:
        
        ```python
        from flask import Flask
        from flask_executor import Executor
        
        app = Flask(__name__)
        
        executor = Executor(app)
        ```
        
        Or through the factory method:
        
        ```python
        executor = Executor()
        
        executor.init_app(app)
        ```
        
        
        Configuration
        -----
        
        ```python
        app.config['EXECUTOR_TYPE']
        ```
        Specify which kind of executor to initialise. Valid values are `'thread'` (default) to initialise a `concurrent.futures.ThreadPoolExecutor`, or `'process'` to initialise a `concurrent.futures.ProcessPoolExecutor`.
        
        ```python
        app.config['EXECUTOR_MAX_WORKERS'] = 5
        ```
        Define the number of worker threads for a `ThreadPoolExecutor` or the number of worker processes for a `ProcessPoolExecutor`. Valid values are any integer or `None` (default) to let the `concurrent.futures` module pick defaults for you.
        
        
        Usage
        -----
        
        You can submit examples to the executor just as you would expect:
        
        ```python
        from flask import Flask
        from flask_executor import Executor
        
        app = Flask(__name__)
        executor = Executor(app)
        
        def fib(n):
            if n <= 2:
                return 1
            else:
                return fib(n-1) + fib(n-2)
        
        @app.route('/example1')
        def example1():
            executor.submit(fib, 5)
            return 'OK'
        ```
        
        Submitting examples to the executor returns standard `concurrent.futures.Future` objects that you can work with:
        
        ```python
        import concurrent.futures
        from flask import Response
        
        @app.route('/example2')
        def example2():
            future = executor.submit(fib, 5)
            return str(future.result())
        
        @app.route('/job3')
        def job3():
            futures = [executor.submit(fib, i) for i in range(1, 40)]
            def generate():
                for future in concurrent.futures.as_completed(futures):
                    yield str(future.result()) + '\n'
            return Response(generate(), mimetype='text/text')
        ```
        
Keywords: flask,concurrent.futures
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.3.0
Description-Content-Type: text/markdown
