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@arshpreetsingh
Created October 3, 2017 12:52
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run flask in parallel using thread pool executor
from flask import Flask
from time import sleep
from concurrent.futures import ThreadPoolExecutor
# DOCS https://docs.python.org/3/library/concurrent.futures.html#concurrent.futures.ThreadPoolExecutor
executor = ThreadPoolExecutor(2)
app = Flask(__name__)
@app.route('/jobs')
def run_jobs():
executor.submit(some_long_task1)
executor.submit(some_long_task2, 'hello', 123)
return 'Two jobs was launched in background!'
def some_long_task1():
print("Task #1 started!")
sleep(10)
print("Task #1 is done!")
def some_long_task2(arg1, arg2):
print("Task #2 started with args: %s %s!" % (arg1, arg2))
sleep(5)
print("Task #2 is done!")
if __name__ == '__main__':
app.run()
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