Flask-Executor 0.1.5

An easy to use Flask wrapper for concurrent.futures

Flask-Executor

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:

from flask import Flask
from flask_executor import Executor

app = Flask(__name__)

executor = Executor(app)

Or through the factory method:

executor = Executor()

executor.init_app(app)

Configuration

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.

app.config['EXECUTOR_MAX_WORKERS']

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:

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:

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')