gunicorn

Flask测试与部署

由 感情迁移 提交于 2020-01-29 11:20:37
1. 蓝图 之前的学习都是在单个文件中定义数据模型类、表单模型类、视图函数、路由等，但是对于大型项目来说将所有代码放在一个文件会让代码可读性变差且难以维护。 真正的项目应根据具体不同的功能，划分成不同的模块，降低各功能模块之间的耦合度 使用模块导入解决耦合问题： - 即模型类和主程序放在一个模块内、视图函数放在一个模块内（导入app对象）：可以降低耦合度，但是不能解决路由映射问题 - 模块导入出现循环导入问题（死锁）----》推迟一方的导入，让另一方先完成导入 - 使用app.route()返回装饰器解决：视图函数只定义不进行路由绑定，在主程序导入视图函数后使用app.route()进行路由绑定 蓝图：用于实现单个应用的视图、模板、静态文件的集合，是一个模块化处理的类（类似于Django中的一个应用模块的所有内容） 简单来说，蓝图就是一个独立模块的抽象代表，可以用来保存在应用对象上执行的操作，主要用来实现客户端请求和URL相互关联的功能 蓝图使用步骤： 1. 创建蓝图对象：必须指定两个参数：蓝图的名字及蓝图所在的模块（蓝图对象用来在视图函数中注册路由使用；蓝图名字指向当前模块） 2. 使用蓝图注册路由绑定视图函数：蓝图对象.route(rules, **args)（暂时存储在蓝图对象的defered_functions列表中） 3. 在主程序app对象上注册蓝图

gunicorn.socket: Failed with result 'service-start-limit-hit'

由 隐身守侯 提交于 2020-01-24 11:22:52
问题 I was deploying a django app and it failed because for some reason the gunicorn.socket file was not created even though before adding nginx it worked perfectly fine so I searched the internet and found this answer where the guy says that the reason for this is the virtual environment but I'm sure there must be a way around it using venv right? the log I get from nginx: connect() to unix:/run/gunicorn.sock failed (11 1: Connection refused) while connecting to upstream, error from gunicorn:

gunicorn.socket: Failed with result 'service-start-limit-hit'

由 笑着哭i 提交于 2020-01-24 11:22:08
问题 I was deploying a django app and it failed because for some reason the gunicorn.socket file was not created even though before adding nginx it worked perfectly fine so I searched the internet and found this answer where the guy says that the reason for this is the virtual environment but I'm sure there must be a way around it using venv right? the log I get from nginx: connect() to unix:/run/gunicorn.sock failed (11 1: Connection refused) while connecting to upstream, error from gunicorn:

How to use the logging module in Python with gunicorn

由 ∥☆過路亽．° 提交于 2020-01-24 08:35:08
问题 I have a flask-based app. When I run it locally, I run it from the command line, but when I deploy it, I start it with gunicorn with multiple workers. I want to use the logging module to log to a file. The docs I've found for this are https://docs.python.org/3/library/logging.html and https://docs.python.org/3/howto/logging-cookbook.html . I am confused over the correct way to use logging when my app may be launched with gunicorn. The docs address threading but assume I have control of the

CRITICAL WORKER TIMEOUT error on gunicorn django

由 自作多情 提交于 2020-01-24 03:46:12
问题 I am trying to tarined word2vec model and save it and then create some cluster based on that modal, it run locally fine but when I create the docker image and run with gunicorn, It always giving me timeout error, I tried the described solutions here but it didn't workout for me I am using python 3.5 gunicorn 19.7.1 gevent 1.2.2 eventlet 0.21.0 here is my gunicorn.conf file #!/bin/bash # Start Gunicorn processes echo Starting Gunicorn. exec gunicorn ReviewsAI.wsgi:application \ --bind 0.0.0.0

airflow systemd fails due to gunicorn

由 余生长醉 提交于 2020-01-23 01:49:05
问题 I am unable to start the airflow webserver using systemd even though it starts and functions properly outside of systemd like so: export AIRFLOW_HOME=/path/to/my/airflow/home ; airflow webserver -p 8080 The systemd log leads me to believe that the issue comes from gunicorn, even though gunicorn starts without issue when I run the above command (i.e. it's only an issue in systemd). I have configured the following systemd files according to the airflow docs (running Ubuntu 16). /etc/default

How to get a concurrency of 1000 requests with Flask and Gunicorn [closed]

由 孤者浪人 提交于 2020-01-22 15:21:31
问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 3 years ago . I have 4 machine learning models of size 2GB each, i.e. 8GB in total. I am getting requests around 100 requests at a time. Each request is taking around 1sec . I have a machine having 15GB RAM . Now if I increase the number of workers in Gunicorn, total memory consumption go high.

How to get a concurrency of 1000 requests with Flask and Gunicorn [closed]

由 删除回忆录丶 提交于 2020-01-22 15:21:04
问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 3 years ago . I have 4 machine learning models of size 2GB each, i.e. 8GB in total. I am getting requests around 100 requests at a time. Each request is taking around 1sec . I have a machine having 15GB RAM . Now if I increase the number of workers in Gunicorn, total memory consumption go high.

gunicorn not starting workers

由 三世轮回 提交于 2020-01-22 12:45:57
问题 When i run this command [jenia@arch app]../bin/gunicorn zones.wsgi:application --bind localht:8000 The gunicorn server runs at localhost:8000. It doesnt return anything to the console as I assume it should. Just runs silently. When I run my script in bin/gunicorn_start the server still runs silently and features odd behaviour. If I input an address that django can't resolve it gives me internal server error and that's it. no stack trace no nothing. This is the bin/gunicorn_start script: #!

gunicorn not starting workers

由 折月煮酒 提交于 2020-01-22 12:45:05
问题 When i run this command [jenia@arch app]../bin/gunicorn zones.wsgi:application --bind localht:8000 The gunicorn server runs at localhost:8000. It doesnt return anything to the console as I assume it should. Just runs silently. When I run my script in bin/gunicorn_start the server still runs silently and features odd behaviour. If I input an address that django can't resolve it gives me internal server error and that's it. no stack trace no nothing. This is the bin/gunicorn_start script: #!
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