workspace stringclasses 1
value | channel stringclasses 1
value | sentences stringlengths 1 3.93k | ts stringlengths 26 26 | user stringlengths 2 11 | sentence_id stringlengths 44 53 | timestamp float64 1.5B 1.56B | __index_level_0__ int64 0 106k |
|---|---|---|---|---|---|---|---|
pythondev | help | makes sense.
what I do is each django app’s celery tasks are integrated with the exposed api for that app | 2017-12-11T11:02:06.000950 | Meg | pythondev_help_Meg_2017-12-11T11:02:06.000950 | 1,512,990,126.00095 | 103,103 |
pythondev | help | where some POST requests explicitly trigger one or many tasks | 2017-12-11T11:02:23.000357 | Meg | pythondev_help_Meg_2017-12-11T11:02:23.000357 | 1,512,990,143.000357 | 103,104 |
pythondev | help | ok, but what if I do not have django but just a stand alone backend application | 2017-12-11T11:02:52.000633 | Jacki | pythondev_help_Jacki_2017-12-11T11:02:52.000633 | 1,512,990,172.000633 | 103,105 |
pythondev | help | that just does one job | 2017-12-11T11:03:01.000574 | Jacki | pythondev_help_Jacki_2017-12-11T11:03:01.000574 | 1,512,990,181.000574 | 103,106 |
pythondev | help | just follow the regular celery documentation | 2017-12-11T11:03:06.000632 | Meg | pythondev_help_Meg_2017-12-11T11:03:06.000632 | 1,512,990,186.000632 | 103,107 |
pythondev | help | should be the same | 2017-12-11T11:03:09.000189 | Meg | pythondev_help_Meg_2017-12-11T11:03:09.000189 | 1,512,990,189.000189 | 103,108 |
pythondev | help | that would handle executing tasks | 2017-12-11T11:03:30.000098 | Meg | pythondev_help_Meg_2017-12-11T11:03:30.000098 | 1,512,990,210.000098 | 103,109 |
pythondev | help | oh well, is what I am doing, but still something it’s not that clear | 2017-12-11T11:03:38.000047 | Jacki | pythondev_help_Jacki_2017-12-11T11:03:38.000047 | 1,512,990,218.000047 | 103,110 |
pythondev | help | what do you mean? | 2017-12-11T11:03:46.000196 | Meg | pythondev_help_Meg_2017-12-11T11:03:46.000196 | 1,512,990,226.000196 | 103,111 |
pythondev | help | moreover, I have to put that application into a docker container, so | 2017-12-11T11:03:55.000399 | Jacki | pythondev_help_Jacki_2017-12-11T11:03:55.000399 | 1,512,990,235.000399 | 103,112 |
pythondev | help | I need to communicate with that service | 2017-12-11T11:04:07.000622 | Jacki | pythondev_help_Jacki_2017-12-11T11:04:07.000622 | 1,512,990,247.000622 | 103,113 |
pythondev | help | uhm, I think you’re not entirely understanding of what celery is | 2017-12-11T11:04:59.000400 | Meg | pythondev_help_Meg_2017-12-11T11:04:59.000400 | 1,512,990,299.0004 | 103,114 |
pythondev | help | i am pretty new to Celery, but this is my structure | 2017-12-11T11:05:23.000806 | Jacki | pythondev_help_Jacki_2017-12-11T11:05:23.000806 | 1,512,990,323.000806 | 103,115 |
pythondev | help | ‘’’json | 2017-12-11T11:05:27.000328 | Jacki | pythondev_help_Jacki_2017-12-11T11:05:27.000328 | 1,512,990,327.000328 | 103,116 |
pythondev | help | docker-cluster-with-celery-and-rabbitmq
-- test_celery
-- __init__.py
-- celery.py
-- tasks.py
-- run_tasks.py
-- docker-compose.yml
-- dockerfile
-- requirements.txt | 2017-12-11T11:05:29.000720 | Jacki | pythondev_help_Jacki_2017-12-11T11:05:29.000720 | 1,512,990,329.00072 | 103,117 |
pythondev | help | so, I am able to run tasks, such as sending emails | 2017-12-11T11:05:57.000258 | Jacki | pythondev_help_Jacki_2017-12-11T11:05:57.000258 | 1,512,990,357.000258 | 103,118 |
pythondev | help | but, my question is, do I need to integrate Celery with django or I can use it | 2017-12-11T11:06:23.000271 | Jacki | pythondev_help_Jacki_2017-12-11T11:06:23.000271 | 1,512,990,383.000271 | 103,119 |
pythondev | help | in a stand alone application adding a layer of communication | 2017-12-11T11:06:35.000122 | Jacki | pythondev_help_Jacki_2017-12-11T11:06:35.000122 | 1,512,990,395.000122 | 103,120 |
pythondev | help | like, RPC or REST or whatever | 2017-12-11T11:06:46.000467 | Jacki | pythondev_help_Jacki_2017-12-11T11:06:46.000467 | 1,512,990,406.000467 | 103,121 |
pythondev | help | and use it just as a distributed task Q | 2017-12-11T11:07:45.000108 | Jacki | pythondev_help_Jacki_2017-12-11T11:07:45.000108 | 1,512,990,465.000108 | 103,122 |
pythondev | help | hmm, ok. So to be clear, celery consists of three parts:
worker, broker and task | 2017-12-11T11:07:52.000136 | Meg | pythondev_help_Meg_2017-12-11T11:07:52.000136 | 1,512,990,472.000136 | 103,123 |
pythondev | help | you’ve already written up the tasks | 2017-12-11T11:08:01.000356 | Meg | pythondev_help_Meg_2017-12-11T11:08:01.000356 | 1,512,990,481.000356 | 103,124 |
pythondev | help | and you apparently already use rabbit to handle the task queueing | 2017-12-11T11:08:22.000051 | Meg | pythondev_help_Meg_2017-12-11T11:08:22.000051 | 1,512,990,502.000051 | 103,125 |
pythondev | help | Can anyone recommend a library for grabbing an address from coordinates? | 2017-12-11T11:08:41.000192 | Myong | pythondev_help_Myong_2017-12-11T11:08:41.000192 | 1,512,990,521.000192 | 103,126 |
pythondev | help | the worer is completely de-coupled from everything, and just listens to messages from the broker | 2017-12-11T11:08:45.000562 | Meg | pythondev_help_Meg_2017-12-11T11:08:45.000562 | 1,512,990,525.000562 | 103,127 |
pythondev | help | geocoding? | 2017-12-11T11:08:53.000664 | Meg | pythondev_help_Meg_2017-12-11T11:08:53.000664 | 1,512,990,533.000664 | 103,128 |
pythondev | help | so you have that cluster and communication, <@Jacki> | 2017-12-11T11:09:19.000548 | Meg | pythondev_help_Meg_2017-12-11T11:09:19.000548 | 1,512,990,559.000548 | 103,129 |
pythondev | help | thing is, tasks are highly specific, are they not? | 2017-12-11T11:09:33.000548 | Meg | pythondev_help_Meg_2017-12-11T11:09:33.000548 | 1,512,990,573.000548 | 103,130 |
pythondev | help | you can use OOP and task classes to create levels of inheritance, but in the end, a task is highly specific to the thing it is supposed to do | 2017-12-11T11:10:20.000373 | Meg | pythondev_help_Meg_2017-12-11T11:10:20.000373 | 1,512,990,620.000373 | 103,131 |
pythondev | help | <@Myong> <http://geocoder.readthedocs.io/api.html#reverse-geocoding> | 2017-12-11T11:10:30.000494 | Patty | pythondev_help_Patty_2017-12-11T11:10:30.000494 | 1,512,990,630.000494 | 103,132 |
pythondev | help | True | 2017-12-11T11:10:34.000436 | Jacki | pythondev_help_Jacki_2017-12-11T11:10:34.000436 | 1,512,990,634.000436 | 103,133 |
pythondev | help | but still, if i have to send 100 email to 100 users | 2017-12-11T11:10:51.000120 | Jacki | pythondev_help_Jacki_2017-12-11T11:10:51.000120 | 1,512,990,651.00012 | 103,134 |
pythondev | help | I have to communicate the array of those 100 email addresses | 2017-12-11T11:11:05.000266 | Jacki | pythondev_help_Jacki_2017-12-11T11:11:05.000266 | 1,512,990,665.000266 | 103,135 |
pythondev | help | no | 2017-12-11T11:11:09.000298 | Meg | pythondev_help_Meg_2017-12-11T11:11:09.000298 | 1,512,990,669.000298 | 103,136 |
pythondev | help | oh, | 2017-12-11T11:11:17.000385 | Jacki | pythondev_help_Jacki_2017-12-11T11:11:17.000385 | 1,512,990,677.000385 | 103,137 |
pythondev | help | well, yeah. but not exactly | 2017-12-11T11:11:22.000090 | Meg | pythondev_help_Meg_2017-12-11T11:11:22.000090 | 1,512,990,682.00009 | 103,138 |
pythondev | help | you have the data from your backend service | 2017-12-11T11:11:36.000663 | Meg | pythondev_help_Meg_2017-12-11T11:11:36.000663 | 1,512,990,696.000663 | 103,139 |
pythondev | help | you post it to your rabbit broker | 2017-12-11T11:11:43.000354 | Meg | pythondev_help_Meg_2017-12-11T11:11:43.000354 | 1,512,990,703.000354 | 103,140 |
pythondev | help | and the workers pick it up | 2017-12-11T11:11:48.000165 | Meg | pythondev_help_Meg_2017-12-11T11:11:48.000165 | 1,512,990,708.000165 | 103,141 |
pythondev | help | <@Jacki> do you _want_ to handle sending emails to users? that can be a mess and end up with your email server running into all kinds of problems when it starts getting blacklisted. if youre looking to move this up to production-level i’d integrate with an external mailing service | 2017-12-11T11:12:29.000556 | Patty | pythondev_help_Patty_2017-12-11T11:12:29.000556 | 1,512,990,749.000556 | 103,142 |
pythondev | help | and I suppose it’s the same with Redis | 2017-12-11T11:12:42.000043 | Jacki | pythondev_help_Jacki_2017-12-11T11:12:42.000043 | 1,512,990,762.000043 | 103,143 |
pythondev | help | <@Patty>, yes I already have an external mailing service where all the stuff | 2017-12-11T11:13:28.000321 | Jacki | pythondev_help_Jacki_2017-12-11T11:13:28.000321 | 1,512,990,808.000321 | 103,144 |
pythondev | help | and basically yes I have to send email mgs as result of some actions | 2017-12-11T11:13:50.000006 | Jacki | pythondev_help_Jacki_2017-12-11T11:13:50.000006 | 1,512,990,830.000006 | 103,145 |
pythondev | help | so, long story short, you can indeed make a service layer of sorts to handle the task calling and execution | 2017-12-11T11:14:08.000395 | Meg | pythondev_help_Meg_2017-12-11T11:14:08.000395 | 1,512,990,848.000395 | 103,146 |
pythondev | help | question is, does having this explicit layer make sense in your overall application and project structure? | 2017-12-11T11:14:27.000539 | Meg | pythondev_help_Meg_2017-12-11T11:14:27.000539 | 1,512,990,867.000539 | 103,147 |
pythondev | help | well, yes because I can only send a payload to a serviceA | 2017-12-11T11:14:52.000810 | Jacki | pythondev_help_Jacki_2017-12-11T11:14:52.000810 | 1,512,990,892.00081 | 103,148 |
pythondev | help | and I don’t have to take care of broker | 2017-12-11T11:15:08.000538 | Jacki | pythondev_help_Jacki_2017-12-11T11:15:08.000538 | 1,512,990,908.000538 | 103,149 |
pythondev | help | or other technology stack | 2017-12-11T11:15:13.000714 | Jacki | pythondev_help_Jacki_2017-12-11T11:15:13.000714 | 1,512,990,913.000714 | 103,150 |
pythondev | help | uhm you _do_ | 2017-12-11T11:15:18.000763 | Meg | pythondev_help_Meg_2017-12-11T11:15:18.000763 | 1,512,990,918.000763 | 103,151 |
pythondev | help | serviceA will be in charge of | 2017-12-11T11:15:22.000829 | Jacki | pythondev_help_Jacki_2017-12-11T11:15:22.000829 | 1,512,990,922.000829 | 103,152 |
pythondev | help | because you need that for celery | 2017-12-11T11:15:29.000176 | Meg | pythondev_help_Meg_2017-12-11T11:15:29.000176 | 1,512,990,929.000176 | 103,153 |
pythondev | help | do whatever he wants to do | 2017-12-11T11:15:32.000306 | Jacki | pythondev_help_Jacki_2017-12-11T11:15:32.000306 | 1,512,990,932.000306 | 103,154 |
pythondev | help | or for any kind of asynchronous task queue | 2017-12-11T11:15:39.000259 | Meg | pythondev_help_Meg_2017-12-11T11:15:39.000259 | 1,512,990,939.000259 | 103,155 |
pythondev | help | oh yes, serviceA has celery and use Redis in my example | 2017-12-11T11:15:47.000575 | Jacki | pythondev_help_Jacki_2017-12-11T11:15:47.000575 | 1,512,990,947.000575 | 103,156 |
pythondev | help | and he has a public endpoint | 2017-12-11T11:16:02.000614 | Jacki | pythondev_help_Jacki_2017-12-11T11:16:02.000614 | 1,512,990,962.000614 | 103,157 |
pythondev | help | just to receive the work to perform | 2017-12-11T11:16:16.000066 | Jacki | pythondev_help_Jacki_2017-12-11T11:16:16.000066 | 1,512,990,976.000066 | 103,158 |
pythondev | help | is that make sense? | 2017-12-11T11:16:43.000070 | Jacki | pythondev_help_Jacki_2017-12-11T11:16:43.000070 | 1,512,991,003.00007 | 103,159 |
pythondev | help | What I get from you is Service A is a backend service, and you need it to pass off async tasks to celery workers. | 2017-12-11T11:17:46.000042 | Meg | pythondev_help_Meg_2017-12-11T11:17:46.000042 | 1,512,991,066.000042 | 103,160 |
pythondev | help | @http(‘POST’, ‘/api/email_dispatcher’)
task = tasks.send_email.delay(payload_to_send,url_to_call) | 2017-12-11T11:18:40.000078 | Jacki | pythondev_help_Jacki_2017-12-11T11:18:40.000078 | 1,512,991,120.000078 | 103,161 |
pythondev | help | <@Ciera> question about slack api. I have two application credentials 1. real slack 2. test slack. I got my application to work using the test slack and now i want to go back and get the `xoxb-` token for real slack. Problem is when I try and use the real slack token it's apparently connected only to the test slack. | 2017-12-11T11:18:41.000819 | Glinda | pythondev_help_Glinda_2017-12-11T11:18:41.000819 | 1,512,991,121.000819 | 103,162 |
pythondev | help | something like that | 2017-12-11T11:18:45.000068 | Jacki | pythondev_help_Jacki_2017-12-11T11:18:45.000068 | 1,512,991,125.000068 | 103,163 |
pythondev | help | why not import the task module in Service A and execute it there via
```task = SomeTask()
task.apply_async(args = [arg1, arg2], queue = 'specific_queue')
``` | 2017-12-11T11:18:49.000470 | Meg | pythondev_help_Meg_2017-12-11T11:18:49.000470 | 1,512,991,129.00047 | 103,164 |
pythondev | help | Is there a universal way to query an API to ask for entries where keys dont exist? | 2017-12-11T11:19:39.000456 | Myong | pythondev_help_Myong_2017-12-11T11:19:39.000456 | 1,512,991,179.000456 | 103,165 |
pythondev | help | yes is what I did | 2017-12-11T11:19:44.000436 | Jacki | pythondev_help_Jacki_2017-12-11T11:19:44.000436 | 1,512,991,184.000436 | 103,166 |
pythondev | help | but, | 2017-12-11T11:20:03.000354 | Jacki | pythondev_help_Jacki_2017-12-11T11:20:03.000354 | 1,512,991,203.000354 | 103,167 |
pythondev | help | in my local env | 2017-12-11T11:20:08.000279 | Jacki | pythondev_help_Jacki_2017-12-11T11:20:08.000279 | 1,512,991,208.000279 | 103,168 |
pythondev | help | I have one console with the celery worker runs | 2017-12-11T11:20:19.000293 | Jacki | pythondev_help_Jacki_2017-12-11T11:20:19.000293 | 1,512,991,219.000293 | 103,169 |
pythondev | help | and another one where I run the serviceA | 2017-12-11T11:20:38.000123 | Jacki | pythondev_help_Jacki_2017-12-11T11:20:38.000123 | 1,512,991,238.000123 | 103,170 |
pythondev | help | in order to expose the APIs | 2017-12-11T11:20:46.000308 | Jacki | pythondev_help_Jacki_2017-12-11T11:20:46.000308 | 1,512,991,246.000308 | 103,171 |
pythondev | help | <@Myong> no, this is something that would only be available if the API implemented it | 2017-12-11T11:20:54.000069 | Patty | pythondev_help_Patty_2017-12-11T11:20:54.000069 | 1,512,991,254.000069 | 103,172 |
pythondev | help | figured as much | 2017-12-11T11:21:04.000140 | Myong | pythondev_help_Myong_2017-12-11T11:21:04.000140 | 1,512,991,264.00014 | 103,173 |
pythondev | help | but I don’t know how to put those guys into docker containers and then into production | 2017-12-11T11:21:15.000167 | Jacki | pythondev_help_Jacki_2017-12-11T11:21:15.000167 | 1,512,991,275.000167 | 103,174 |
pythondev | help | I don’t think you should dockerize celery in prod | 2017-12-11T11:21:33.000015 | Meg | pythondev_help_Meg_2017-12-11T11:21:33.000015 | 1,512,991,293.000015 | 103,175 |
pythondev | help | since the workers are running as daemons, anway | 2017-12-11T11:21:40.000226 | Meg | pythondev_help_Meg_2017-12-11T11:21:40.000226 | 1,512,991,300.000226 | 103,176 |
pythondev | help | at least, they should | 2017-12-11T11:21:44.000095 | Meg | pythondev_help_Meg_2017-12-11T11:21:44.000095 | 1,512,991,304.000095 | 103,177 |
pythondev | help | so, docker really doesn’t apply here, IMO | 2017-12-11T11:21:52.000112 | Meg | pythondev_help_Meg_2017-12-11T11:21:52.000112 | 1,512,991,312.000112 | 103,178 |
pythondev | help | <@Glinda> are you sure you haven't mixed up your tokens ? :smile: A token is link to a slack team | 2017-12-11T11:21:57.000593 | Ciera | pythondev_help_Ciera_2017-12-11T11:21:57.000593 | 1,512,991,317.000593 | 103,179 |
pythondev | help | Pretty certain | 2017-12-11T11:22:22.000770 | Glinda | pythondev_help_Glinda_2017-12-11T11:22:22.000770 | 1,512,991,342.00077 | 103,180 |
pythondev | help | uhmm | 2017-12-11T11:22:26.000896 | Jacki | pythondev_help_Jacki_2017-12-11T11:22:26.000896 | 1,512,991,346.000896 | 103,181 |
pythondev | help | but from an architectural point of view | 2017-12-11T11:22:38.000929 | Jacki | pythondev_help_Jacki_2017-12-11T11:22:38.000929 | 1,512,991,358.000929 | 103,182 |
pythondev | help | I tried it a few times last night, and even reinstalled application | 2017-12-11T11:22:42.000966 | Glinda | pythondev_help_Glinda_2017-12-11T11:22:42.000966 | 1,512,991,362.000966 | 103,183 |
pythondev | help | <@Jacki> <http://docs.celeryproject.org/en/latest/userguide/daemonizing.html> | 2017-12-11T11:22:55.000548 | Meg | pythondev_help_Meg_2017-12-11T11:22:55.000548 | 1,512,991,375.000548 | 103,184 |
pythondev | help | I'm trying to use the RTM api and I'm wondering if it's a cache issue. | 2017-12-11T11:23:02.000049 | Glinda | pythondev_help_Glinda_2017-12-11T11:23:02.000049 | 1,512,991,382.000049 | 103,185 |
pythondev | help | does it make sense to have a serviceA with a public APIs and Celery? | 2017-12-11T11:23:07.000259 | Jacki | pythondev_help_Jacki_2017-12-11T11:23:07.000259 | 1,512,991,387.000259 | 103,186 |
pythondev | help | uhm, yes | 2017-12-11T11:23:24.000272 | Meg | pythondev_help_Meg_2017-12-11T11:23:24.000272 | 1,512,991,404.000272 | 103,187 |
pythondev | help | oh ok, but I think you can put it into a container | 2017-12-11T11:23:49.000134 | Jacki | pythondev_help_Jacki_2017-12-11T11:23:49.000134 | 1,512,991,429.000134 | 103,188 |
pythondev | help | but | 2017-12-11T11:25:04.000420 | Jacki | pythondev_help_Jacki_2017-12-11T11:25:04.000420 | 1,512,991,504.00042 | 103,189 |
pythondev | help | oh, for development certainly | 2017-12-11T11:25:11.000471 | Meg | pythondev_help_Meg_2017-12-11T11:25:11.000471 | 1,512,991,511.000471 | 103,190 |
pythondev | help | if I can have a serviceA with public API and Celery inside | 2017-12-11T11:25:22.000244 | Jacki | pythondev_help_Jacki_2017-12-11T11:25:22.000244 | 1,512,991,522.000244 | 103,191 |
pythondev | help | but production? | 2017-12-11T11:25:23.000974 | Meg | pythondev_help_Meg_2017-12-11T11:25:23.000974 | 1,512,991,523.000974 | 103,192 |
pythondev | help | I should have to run the serviceA with python service.py and at the same time | 2017-12-11T11:26:23.000876 | Jacki | pythondev_help_Jacki_2017-12-11T11:26:23.000876 | 1,512,991,583.000876 | 103,193 |
pythondev | help | the celery worker | 2017-12-11T11:26:27.000409 | Jacki | pythondev_help_Jacki_2017-12-11T11:26:27.000409 | 1,512,991,587.000409 | 103,194 |
pythondev | help | am I right? | 2017-12-11T11:26:31.000629 | Jacki | pythondev_help_Jacki_2017-12-11T11:26:31.000629 | 1,512,991,591.000629 | 103,195 |
pythondev | help | correct | 2017-12-11T11:26:38.000338 | Meg | pythondev_help_Meg_2017-12-11T11:26:38.000338 | 1,512,991,598.000338 | 103,196 |
pythondev | help | so, in the end, Can Celery be used as a standalone distributed task management? | 2017-12-11T11:27:10.000968 | Jacki | pythondev_help_Jacki_2017-12-11T11:27:10.000968 | 1,512,991,630.000968 | 103,197 |
pythondev | help | @dd2 thanks a lot for helping me. | 2017-12-11T11:27:44.000522 | Jacki | pythondev_help_Jacki_2017-12-11T11:27:44.000522 | 1,512,991,664.000522 | 103,198 |
pythondev | help | @dd2 <https://nickjanetakis.com/blog/dockerize-a-flask-celery-and-redis-application-with-docker-compose> | 2017-12-11T11:28:20.000679 | Jacki | pythondev_help_Jacki_2017-12-11T11:28:20.000679 | 1,512,991,700.000679 | 103,199 |
pythondev | help | yeah, I’ve seen that before, and have talked with Ken Cochrane at Docker about this very thing | 2017-12-11T11:28:50.000835 | Meg | pythondev_help_Meg_2017-12-11T11:28:50.000835 | 1,512,991,730.000835 | 103,200 |
pythondev | help | FWIW, I like that setup for development | 2017-12-11T11:29:09.000005 | Meg | pythondev_help_Meg_2017-12-11T11:29:09.000005 | 1,512,991,749.000005 | 103,201 |
pythondev | help | production, no | 2017-12-11T11:29:12.000110 | Meg | pythondev_help_Meg_2017-12-11T11:29:12.000110 | 1,512,991,752.00011 | 103,202 |
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