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        "author": "Dave Chevell",
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        "description": "Flask-Executor\n==============\n\n[![Build Status](https://travis-ci.org/dchevell/flask-executor.svg?branch=master)](https://travis-ci.org/dchevell/flask-executor)\n[![Coverage Status](https://coveralls.io/repos/github/dchevell/flask-executor/badge.svg)](https://coveralls.io/github/dchevell/flask-executor)\n[![PyPI Version](https://img.shields.io/pypi/v/Flask-Executor.svg)](https://pypi.python.org/pypi/Flask-Executor)\n[![GitHub license](https://img.shields.io/github/license/dchevell/flask-executor.svg)](https://github.com/dchevell/flask-executor/blob/master/LICENSE)\n\nSometimes 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.\n\nInstallation\n------------\n\nFlask-Executor is available on PyPI and can be installed with:\n\n    pip install flask-executor\n\n\nQuick start\n-----------\n\nHere's a quick example of using Flask-Executor inside your Flask application:\n\n```python\nfrom flask import Flask\nfrom flask_executor import Executor\n\napp = Flask(__name__)\n\nexecutor = Executor(app)\n\n\ndef send_email(recipient, subject, body):\n    # Magic to send an email\n    return True\n\n\n@app.route('/signup')\ndef signup():\n    # Do signup form\n    executor.submit(send_email, recipient, subject, body)\n```\n\n\nContexts\n--------\n\nWhen calling `submit()` or `map()` Flask-Executor will wrap `ThreadPoolExecutor` callables with a\ncopy of both the current application context and current request context. Code that must be run in\nthese contexts or that depends on information or configuration stored in `flask.current_app`,\n`flask.request` or `flask.g` can be submitted to the executor without modification.\n\nNote: due to limitations in Python's default object serialisation and a lack of shared memory space between subprocesses, contexts cannot be pushed to `ProcessPoolExecutor()` workers. \n\n\nFutures\n-------\n\nYou may want to preserve access to Futures returned from the executor, so that you can retrieve the\nresults in a different part of your application. Flask-Executor allows Futures to be stored within\nthe executor itself and provides methods for querying and returning them in different parts of your\napp::\n\n```python\n@app.route('/start-task')\ndef start_task():\n    executor.submit_stored('calc_power', pow, 323, 1235)\n    return jsonify({'result':'success'})\n\n@app.route('/get-result')\ndef get_result():\n    if not executor.futures.done('calc_power'):\n        return jsonify({'status': executor.futures._state('calc_power')})\n    future = executor.futures.pop('calc_power')\n    return jsonify({'status': done, 'result': future.result()})\n```\n\n\nDecoration\n----------\n\nFlask-Executor lets you decorate methods in the same style as distributed task queues like\nCelery:\n\n```python\n@executor.job\ndef fib(n):\n    if n <= 2:\n        return 1\n    else:\n        return fib(n-1) + fib(n-2)\n\n@app.route('/decorate_fib')\ndef decorate_fib():\n    fib.submit(5)\n    fib.submit_stored('fibonacci', 5)\n    fib.map(range(1, 6))\n    return 'OK'\n```\n\n\nDefault Callbacks\n-----------------\n\nFuture objects can have callbacks attached by using `Future.add_done_callback`. Flask-Executor\nlets you specify default callbacks that will be applied to all new futures created by the executor:\n\n```python\ndef some_callback(future):\n    # do something with future\n\nexecutor.add_default_done_callback(some_callback)\n\n# Callback will be added to the below task automatically\nexecutor.submit(pow, 323, 1235)\n```\n\n\nPropagate Exceptions\n--------------------\n\nNormally any exceptions thrown by background threads or processes will be swallowed unless explicitly\nchecked for. To instead surface all exceptions thrown by background tasks, Flask-Executor can add\na special default callback that raises any exceptions thrown by tasks submitted to the executor::\n\n```python\napp.config['EXECUTOR_PROPAGATE_EXCEPTIONS'] = True \n```\n\n\nDocumentation\n-------------\n\nCheck out the full documentation at [flask-executor.readthedocs.io](https://flask-executor.readthedocs.io)!\n\n\n",
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