Flask with create_app, SQLAlchemy and Celery
I'm really struggling to the get the proper setup for Flask, SQLAlchemy and Celery. I have searched extensively and tried different approaches, nothing really seems to work. Either I missed the application context or can't run the workers or there are some other problems. The structure is very general so that I can build a bigger application. I'm using: Flask 0.10.1, SQLAlchemy 1.0, Celery 3.1.13,
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celerydã®ãƒ¡ã‚¤ãƒ³ãƒ—ãƒã‚»ã‚¹ã¯ã€ã‚¿ã‚¹ã‚¯ã®ãƒ¡ãƒƒã‚»ãƒ¼ã‚¸ã‚’ブãƒãƒ¼ã‚«ãƒ¼ã‹ã‚‰å—ã‘å–ã£ãŸå¾Œã€ãƒ¯ãƒ¼ã‚«ãƒ¼ãƒ—ãƒã‚»ã‚¹ã«å‡¦ç†ã‚’実行ã•ã›ã‚‹ã€‚ メッセージをブãƒãƒ¼ã‚«ãƒ¼ã‹ã‚‰å—ã‘å–ã‚‹éš›ã€å®Ÿè¡Œä¸ã®ã‚‚ã®ã¨ã¯åˆ¥ã«ã€äº‹å‰ã«ãƒ¡ãƒƒã‚»ãƒ¼ã‚¸ã‚’å–å¾—(プリフェッãƒ)ã™ã‚‹ã‚ˆã†ã«ãªã£ã¦ã„る。 å…¨ã¦ã®ãƒ¯ãƒ¼ã‚«ãƒ¼ãƒ—ãƒã‚»ã‚¹ãŒå‡¦ç†ä¸ã§ã‚ã£ã¦ã‚‚プリフェッãƒã¯è¡Œã‚れる。 ãã‚Œãžã‚Œã®ã‚¿ã‚¹ã‚¯ã®å‡¦ç†ã«é•·ã„時間ãŒã‹ã‹ã‚‹å ´åˆã€è¤‡æ•°ã®ãƒžã‚·ãƒ³ã§celerydã‚’å‹•ã‹ã—ã¦ã„ã¦ã‚‚ã€ã“ã®ãƒ—リフェッãƒã«ã‚ˆã£ã¦ã‚¿ã‚¹ã‚¯ãŒå¾…ã¡çŠ¶æ…‹ã«ãªã£ã¦ã—ã¾ã†çŠ¶æ³ãŒç™ºç”Ÿã™ã‚‹ã€‚ ã“ã®ãƒ—リフェッãƒæ•°ã¯ CELERYD_PREFETCH_MULTIPLIER ã®å€¤ã‚’è¨å®šã™ã‚‹ã“ã¨ã§å¤‰æ›´ã§ãる。デフォルト値ã¯4。ã“ã‚Œã¯1ワーカーã”ã¨ã®å€¤ã¨ãªã‚‹ã€‚(例: concurrencyã‚’3ã«è¨å®šã—ãŸå ´åˆã¯12) http://docs.celeryproject.org/en/latest/configuration.h
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2ã¤ä»¥ä¸Šã®ãƒ›ã‚¹ãƒˆã§celerydã‚’èµ·å‹•ã—ã€ã‚¿ã‚¹ã‚¯ã‚’処ç†ã•ã›ã‚‹ãƒ›ã‚¹ãƒˆã‚’明示的ã«æŒ‡å®šã—ãŸã„å ´åˆã«ã¯ã€ã‚ューåを指定ã™ã‚‹ã“ã¨ã§å®Ÿç¾ã§ãる。 Routing Tasks — Celery 3.1.23 documentation 試ã—ãŸãƒãƒ¼ã‚¸ãƒ§ãƒ³ã¯ã€Python 2.7ã€Celery 3.1.8ã€Brokerã¯RabbitMQ。 ワーカーã®ãƒ—ãƒã‚»ã‚¹IDã‚’è¿”ã™ã‚¿ã‚¹ã‚¯ã®ä½œæˆ 指定ã—ãŸãƒ—ãƒã‚»ã‚¹ã§å®Ÿè¡Œã•ã‚ŒãŸã‹ã‚’確èªã—ã‚„ã™ã„よã†ã«ã€ãƒ—ãƒã‚»ã‚¹IDã‚’è¿”ã™ã ã‘ã®ã‚¿ã‚¹ã‚¯ã‚’作æˆã™ã‚‹ã€‚ spam.py import os from celery import Celery app = Celery('spam', backend='amqp', broker='amqp://guest@localhost//') @app.task def hello(): return os.getpid() ã‚ューåã¯taskデコ
Using Celery with Pyramid
This one falls under: “I knew there has to be an easy way!†While there’s pyramid_celery, last time I checked it had several shortcomings (back then I couldn’t configure celerybeat) and I felt in general that it shouldn’t be necessary to add another dependency that may or may not lag behind pyramid’s and celery’s latest releases. I also don’t really care for configuring celery inside of an .ini fi
Tailing Celery Task Output to a Browser Using gevent-socketio and Redis Pub/Sub
February 13, 2013 Tailing Celery Task Output to a Browser Using gevent-socketio and Redis Pub/Sub While working on a project at work I wanted to add a feature that displayed the output of a long running task in the browser in near real-time. This features was inspired by travis-ci.org. If you're unfamiliar with Travis, the browser client displays the build log output as it is happening. After some
Background Tasks with Celery — Flask Documentation (3.0.x)
Background Tasks with Celery¶ If your application has a long running task, such as processing some uploaded data or sending email, you don’t want to wait for it to finish during a request. Instead, use a task queue to send the necessary data to another process that will run the task in the background while the request returns immediately. Celery is a powerful task queue that can be used for simple
task.delayã‹ã‚‰ã¸ã‚“ã˜ãŒãªã„。ãŸã ã®ã—ã‹ã°ãã®ã‚ˆã†ã (Celery+RabbitMQ) - Study08.net 対シンãƒã‚·æ®²æ»…用人型機動兵器
ã¨ã‚る開発環境ã§Celery + RabbitMQã‚’å‹•ã‹ã—ã¦ãŸã‚‰ã€ã„ã¤ã®ã¾ã«ã‹task.delay()ãŒæ¯ã‚’ã—ã¦ãªã„ã¨ã„ã†ã‹ãƒãƒ³ã‚°ã‚¢ãƒƒãƒ—ã—ã¦ã‚‹æ„Ÿã˜ã«ãªã£ãŸæ™‚ã®èª¿æŸ»ã¨å¯¾å‡¦ã®ãƒ¡ãƒ¢ 環境 Debian squeeze RabbitMQ 3.1.3 (apt-getã§install) ç¾è±¡ Djangoアプリã‹ã‚‰Celelyã®task.delayã§ã‚¸ãƒ§ãƒ–を実行ã—ã¦ã‚‹ã‘ã©å‡¦ç†ã•ã‚ŒãŸæ°—é…ãŒãªã„ 特ã«ã‚¢ãƒ—リã€Celeryã€RabbitMQã§ç›®ç«‹ã£ãŸã‚¨ãƒ©ãƒ¼ã¯å‡ºã¦ã„ãªã„ Celery起動時ã«RabbitMQã®æŽ¥ç¶šã¯å‡ºæ¥ã¦ã‚‹ã¨ã„ã†ãƒã‚°ã¯å‡ºã¦ã‚‹ [2013-07-25 16:08:55,270: WARNING/MainProcess] celery@hogehoge ready. [2013-07-25 16:08:55,284: INFO/MainProcess] consumer: Connected t
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http://docs.celeryproject.org/en/master/whatsnew-4.0.html
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