mirror of
https://github.com/caronc/apprise-api.git
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68 lines
2.2 KiB
Python
68 lines
2.2 KiB
Python
# -*- coding: utf-8 -*-
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#
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# Copyright (C) 2023 Chris Caron <lead2gold@gmail.com>
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# All rights reserved.
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#
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# This code is licensed under the MIT License.
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#
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# Permission is hereby granted, free of charge, to any person obtaining a copy
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# of this software and associated documentation files(the "Software"), to deal
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# in the Software without restriction, including without limitation the rights
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# to use, copy, modify, merge, publish, distribute, sublicense, and / or sell
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# copies of the Software, and to permit persons to whom the Software is
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# furnished to do so, subject to the following conditions :
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#
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# The above copyright notice and this permission notice shall be included in
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# all copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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# THE SOFTWARE.
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import os
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import multiprocessing
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# This file is launched with the call:
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# gunicorn --config <this file> core.wsgi:application
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raw_env = [
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'LANG={}'.format(os.environ.get('LANG', 'en_US.UTF-8')),
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'DJANGO_SETTINGS_MODULE=core.settings',
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]
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# This is the path as prepared in the docker compose
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pythonpath = '/opt/apprise/webapp'
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# bind to port 8000
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bind = [
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# ipv4
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'0.0.0.0:8000',
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# ipv6
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'[::]:8000'
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]
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# Workers are relative to the number of CPU's provided by hosting server
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workers = int(os.environ.get(
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'APPRISE_WORKER_COUNT', multiprocessing.cpu_count() * 2 + 1))
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# Increase worker timeout value to give upstream services time to
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# respond.
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timeout = int(os.environ.get('APPRISE_WORKER_TIMEOUT', 300))
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# Our worker type to use; over-ride the default `sync`
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worker_class = 'gevent'
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# Get workers memory consumption under control by leveraging gunicorn
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# worker recycling timeout
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max_requests = 1000
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max_requests_jitter = 50
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# Logging
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# '-' means log to stdout.
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errorlog = '-'
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accesslog = '-'
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loglevel = 'warn'
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