Import from Bugzilla to Redmine - redmine

I have a Redmine instance that is used for projects management. In addition, I have a Bugzilla instance which holds bugs/features/tickets.
Is there a way to import selected bugs from BZ to Redmine? I need this to be a repeatable task, running few times a day.

Proper modification to some import script should do the trick.
I used https://github.com/ralli/migrate_from_bugzilla for one time import from Bugzilla to Redmine. And even though I never saw ruby before I was able to make some specific changes for our installation.

Related

Django, how to trigger functions at a specific time? [duplicate]

I've been working on a web app using Django, and I'm curious if there is a way to schedule a job to run periodically.
Basically I just want to run through the database and make some calculations/updates on an automatic, regular basis, but I can't seem to find any documentation on doing this.
Does anyone know how to set this up?
To clarify: I know I can set up a cron job to do this, but I'm curious if there is some feature in Django that provides this functionality. I'd like people to be able to deploy this app themselves without having to do much config (preferably zero).
I've considered triggering these actions "retroactively" by simply checking if a job should have been run since the last time a request was sent to the site, but I'm hoping for something a bit cleaner.
One solution that I have employed is to do this:
1) Create a custom management command, e.g.
python manage.py my_cool_command
2) Use cron (on Linux) or at (on Windows) to run my command at the required times.
This is a simple solution that doesn't require installing a heavy AMQP stack. However there are nice advantages to using something like Celery, mentioned in the other answers. In particular, with Celery it is nice to not have to spread your application logic out into crontab files. However the cron solution works quite nicely for a small to medium sized application and where you don't want a lot of external dependencies.
EDIT:
In later version of windows the at command is deprecated for Windows 8, Server 2012 and above. You can use schtasks.exe for same use.
**** UPDATE ****
This the new link of django doc for writing the custom management command
Celery is a distributed task queue, built on AMQP (RabbitMQ). It also handles periodic tasks in a cron-like fashion (see periodic tasks). Depending on your app, it might be worth a gander.
Celery is pretty easy to set up with django (docs), and periodic tasks will actually skip missed tasks in case of a downtime. Celery also has built-in retry mechanisms, in case a task fails.
We've open-sourced what I think is a structured app. that Brian's solution above alludes too. We would love any / all feedback!
https://github.com/tivix/django-cron
It comes with one management command:
./manage.py runcrons
That does the job. Each cron is modeled as a class (so its all OO) and each cron runs at a different frequency and we make sure the same cron type doesn't run in parallel (in case crons themselves take longer time to run than their frequency!)
If you're using a standard POSIX OS, you use cron.
If you're using Windows, you use at.
Write a Django management command to
Figure out what platform they're on.
Either execute the appropriate "AT" command for your users, or update the crontab for your users.
Interesting new pluggable Django app: django-chronograph
You only have to add one cron entry which acts as a timer, and you have a very nice Django admin interface into the scripts to run.
Look at Django Poor Man's Cron which is a Django app that makes use of spambots, search engine indexing robots and alike to run scheduled tasks in approximately regular intervals
See: http://code.google.com/p/django-poormanscron/
I had exactly the same requirement a while ago, and ended up solving it using APScheduler (User Guide)
It makes scheduling jobs super simple, and keeps it independent for from request-based execution of some code. Following is a simple example.
from apscheduler.schedulers.background import BackgroundScheduler
scheduler = BackgroundScheduler()
job = None
def tick():
print('One tick!')\
def start_job():
global job
job = scheduler.add_job(tick, 'interval', seconds=3600)
try:
scheduler.start()
except:
pass
Hope this helps somebody!
Django APScheduler for Scheduler Jobs. Advanced Python Scheduler (APScheduler) is a Python library that lets you schedule your Python code to be executed later, either just once or periodically. You can add new jobs or remove old ones on the fly as you please.
note: I'm the author of this library
Install APScheduler
pip install apscheduler
View file function to call
file name: scheduler_jobs.py
def FirstCronTest():
print("")
print("I am executed..!")
Configuring the scheduler
make execute.py file and add the below codes
from apscheduler.schedulers.background import BackgroundScheduler
scheduler = BackgroundScheduler()
Your written functions Here, the scheduler functions are written in scheduler_jobs
import scheduler_jobs
scheduler.add_job(scheduler_jobs.FirstCronTest, 'interval', seconds=10)
scheduler.start()
Link the File for Execution
Now, add the below line in the bottom of Url file
import execute
You can check the full code by executing
[Click here]
https://github.com/devchandansh/django-apscheduler
Brian Neal's suggestion of running management commands via cron works well, but if you're looking for something a little more robust (yet not as elaborate as Celery) I'd look into a library like Kronos:
# app/cron.py
import kronos
#kronos.register('0 * * * *')
def task():
pass
RabbitMQ and Celery have more features and task handling capabilities than Cron. If task failure isn't an issue, and you think you will handle broken tasks in the next call, then Cron is sufficient.
Celery & AMQP will let you handle the broken task, and it will get executed again by another worker (Celery workers listen for the next task to work on), until the task's max_retries attribute is reached. You can even invoke tasks on failure, like logging the failure, or sending an email to the admin once the max_retries has been reached.
And you can distribute Celery and AMQP servers when you need to scale your application.
I personally use cron, but the Jobs Scheduling parts of django-extensions looks interesting.
Although not part of Django, Airflow is a more recent project (as of 2016) that is useful for task management.
Airflow is a workflow automation and scheduling system that can be used to author and manage data pipelines. A web-based UI provides the developer with a range of options for managing and viewing these pipelines.
Airflow is written in Python and is built using Flask.
Airflow was created by Maxime Beauchemin at Airbnb and open sourced in the spring of 2015. It joined the Apache Software Foundation’s incubation program in the winter of 2016. Here is the Git project page and some addition background information.
Put the following at the top of your cron.py file:
#!/usr/bin/python
import os, sys
sys.path.append('/path/to/') # the parent directory of the project
sys.path.append('/path/to/project') # these lines only needed if not on path
os.environ['DJANGO_SETTINGS_MODULE'] = 'myproj.settings'
# imports and code below
I just thought about this rather simple solution:
Define a view function do_work(req, param) like you would with any other view, with URL mapping, return a HttpResponse and so on.
Set up a cron job with your timing preferences (or using AT or Scheduled Tasks in Windows) which runs curl http://localhost/your/mapped/url?param=value.
You can add parameters but just adding parameters to the URL.
Tell me what you guys think.
[Update] I'm now using runjob command from django-extensions instead of curl.
My cron looks something like this:
#hourly python /path/to/project/manage.py runjobs hourly
... and so on for daily, monthly, etc'. You can also set it up to run a specific job.
I find it more managable and a cleaner. Doesn't require mapping a URL to a view. Just define your job class and crontab and you're set.
after the part of code,I can write anything just like my views.py :)
#######################################
import os,sys
sys.path.append('/home/administrator/development/store')
os.environ['DJANGO_SETTINGS_MODULE']='store.settings'
from django.core.management impor setup_environ
from store import settings
setup_environ(settings)
#######################################
from
http://www.cotellese.net/2007/09/27/running-external-scripts-against-django-models/
You should definitely check out django-q!
It requires no additional configuration and has quite possibly everything needed to handle any production issues on commercial projects.
It's actively developed and integrates very well with django, django ORM, mongo, redis. Here is my configuration:
# django-q
# -------------------------------------------------------------------------
# See: http://django-q.readthedocs.io/en/latest/configure.html
Q_CLUSTER = {
# Match recommended settings from docs.
'name': 'DjangoORM',
'workers': 4,
'queue_limit': 50,
'bulk': 10,
'orm': 'default',
# Custom Settings
# ---------------
# Limit the amount of successful tasks saved to Django.
'save_limit': 10000,
# See https://github.com/Koed00/django-q/issues/110.
'catch_up': False,
# Number of seconds a worker can spend on a task before it's terminated.
'timeout': 60 * 5,
# Number of seconds a broker will wait for a cluster to finish a task before presenting it again. This needs to be
# longer than `timeout`, otherwise the same task will be processed multiple times.
'retry': 60 * 6,
# Whether to force all async() calls to be run with sync=True (making them synchronous).
'sync': False,
# Redirect worker exceptions directly to Sentry error reporter.
'error_reporter': {
'sentry': RAVEN_CONFIG,
},
}
Yes, the method above is so great. And I tried some of them. At last, I found a method like this:
from threading import Timer
def sync():
do something...
sync_timer = Timer(self.interval, sync, ())
sync_timer.start()
Just like Recursive.
Ok, I hope this method can meet your requirement. :)
A more modern solution (compared to Celery) is Django Q:
https://django-q.readthedocs.io/en/latest/index.html
It has great documentation and is easy to grok. Windows support is lacking, because Windows does not support process forking. But it works fine if you create your dev environment using the Windows for Linux Subsystem.
I had something similar with your problem today.
I didn't wanted to have it handled by the server trhough cron (and most of the libs were just cron helpers in the end).
So i've created a scheduling module and attached it to the init .
It's not the best approach, but it helps me to have all the code in a single place and with its execution related to the main app.
I use celery to create my periodical tasks. First you need to install it as follows:
pip install django-celery
Don't forget to register django-celery in your settings and then you could do something like this:
from celery import task
from celery.decorators import periodic_task
from celery.task.schedules import crontab
from celery.utils.log import get_task_logger
#periodic_task(run_every=crontab(minute="0", hour="23"))
def do_every_midnight():
#your code
I am not sure will this be useful for anyone, since I had to provide other users of the system to schedule the jobs, without giving them access to the actual server(windows) Task Scheduler, I created this reusable app.
Please note users have access to one shared folder on server where they can create required command/task/.bat file. This task then can be scheduled using this app.
App name is Django_Windows_Scheduler
ScreenShot:
If you want something more reliable than Celery, try TaskHawk which is built on top of AWS SQS/SNS.
Refer: http://taskhawk.readthedocs.io
For simple dockerized projects, I could not really see any existing answer fit.
So I wrote a very barebones solution without the need of external libraries or triggers, which runs on its own. No external os-cron needed, should work in every environment.
It works by adding a middleware: middleware.py
import threading
def should_run(name, seconds_interval):
from application.models import CronJob
from django.utils.timezone import now
try:
c = CronJob.objects.get(name=name)
except CronJob.DoesNotExist:
CronJob(name=name, last_ran=now()).save()
return True
if (now() - c.last_ran).total_seconds() >= seconds_interval:
c.last_ran = now()
c.save()
return True
return False
class CronTask:
def __init__(self, name, seconds_interval, function):
self.name = name
self.seconds_interval = seconds_interval
self.function = function
def cron_worker(*_):
if not should_run("main", 60):
return
# customize this part:
from application.models import Event
tasks = [
CronTask("events", 60 * 30, Event.clean_stale_objects),
# ...
]
for task in tasks:
if should_run(task.name, task.seconds_interval):
task.function()
def cron_middleware(get_response):
def middleware(request):
response = get_response(request)
threading.Thread(target=cron_worker).start()
return response
return middleware
models/cron.py:
from django.db import models
class CronJob(models.Model):
name = models.CharField(max_length=10, primary_key=True)
last_ran = models.DateTimeField()
settings.py:
MIDDLEWARE = [
...
'application.middleware.cron_middleware',
...
]
Simple way is to write a custom shell command see Django Documentation and execute it using a cronjob on linux. However i would highly recommend using a message broker like RabbitMQ coupled with celery. Maybe you can have a look at
this Tutorial
One alternative is to use Rocketry:
from rocketry import Rocketry
from rocketry.conds import daily, after_success
app = Rocketry()
#app.task(daily.at("10:00"))
def do_daily():
...
#app.task(after_success(do_daily))
def do_after_another():
...
if __name__ == "__main__":
app.run()
It also supports custom conditions:
from pathlib import Path
#app.cond()
def file_exists(file):
return Path(file).exists()
#app.task(daily & file_exists("myfile.csv"))
def do_custom():
...
And it also supports Cron:
from rocketry.conds import cron
#app.task(cron('*/2 12-18 * Oct Fri'))
def do_cron():
...
It can be integrated quite nicely with FastAPI and I think it could be integrated with Django as well as Rocketry is essentially just a sophisticated loop that can spawn, async tasks, threads and processes.
Disclaimer: I'm the author.
Another option, similar to Brian Neal's answer it to use RunScripts
Then you don't need to set up commands. This has the advantage of more flexible or cleaner folder structures.
This file must implement a run() function. This is what gets called when you run the script. You can import any models or other parts of your django project to use in these scripts.
And then, just
python manage.py runscript path.to.script

django-concurrency is doing nothing

I am testing my app for concurrency
I am using django-concurrency
For every model added
from concurrency.fields import IntegerVersionField
version = IntegerVersionField( )
So i open with 2 browser windows my app. log with 2 different users and the edit with both same record . Save with one then I save with second one and always second one just overwrites the first one . Basically does nothing .
Expected to get an error on my second save.
What could be the issue ?
I have never used Django concurrency and I would run a mile if I run across apps that offer to abstract concurrency, transaction management etc. Based on general concepts of concurrency. This behaviour seems right. There's no error here.
django-concurrency is an optimistic lock [1] implementation for
Django.
Supported Django versions: 1.8.x, 1.9.x, 1.10.x., 1.11.x
It prevents users from doing concurrent editing in Django both from UI
and from a django command.
What this actually means is that two users cannot modify the same instance at the same time. In adhoc two browser testing of the sort that's just tried out, such a situation can never be produced! What usually happens is that one or the other transaction usually runs to completion because when testing on small databases on localhost, there is no latency and everything happens instantly.
The proper way to test this is to open up to separate change shells, open up the same instance and edit as outlined in the django concurrency guide. Or test with a multi threaded client.

Send Weekly Email Notifications to Users regarding any changes in data

What are ways to send automatic weekly email notifications to users upon any update or changes in the data in a django project ?
I'll describe the simplest solution I'm aware of. There are also much, much more sophisticated approaches to this problem.
Fundamentally, you need three things:
A task runner (I recommend configuring cron jobs with django-kronos)
An SMTP provider (I recommend Mailgun, which is super simple to set up with Django and gives you some test credits out of the box).
Email templates (write yourself & render to string w/ Django -- Mailgun has some good open source templates as well on their blog)
Example: django-kronos provides decorators for registering functions as cron jobs (this assumes your web server is Linux-based). These jobs can be installed as part of your deploy process from the command line:
./manage.py installtasks
For kronos to find tasks, they must be located in cron.py files inside of your apps.
# myapp/cron.py
import kronos
from django.contrib.auth.models import user
from myapp.services import check_for_changes, notify_user_of_change
# Register cron job to run once a week (every Sunday) at midnight
#kronos.register('0 0 * * 0')
def notify_about_changes():
"""Sets up a cron job and runs this service function once a day.
Installed With:
``./manage.py installtasks``
"""
all_my_users = User.objects.all()
for user in all_my_users:
changes = check_for_changes(user)
for change in changes:
notify_user_of_change(user, change)
Note that it's a good practice to keep your task function as "thin" as possible. In your case, you're (a) checking for changes, then (b) notifying about each change. These could each be a function that accepts a user instance as a param, or they could be model methods. In any case, the hard work should be handled elsewhere.
This is a very broad question, so unfortunately the answer is going to be broad as well. The general workflow you're looking for probably starts off with a Signal which you can set up to be activated on update of data.
That signal would then store data about the changes and then use one of many different email options to send email. You could use either built-in Django emails, or use a 3rd party API such as django-mailchimp.
Hopefully this gets you headed in the right direction.

Django custom management commands from admin interface

I asked a previous question getting a django command to run on a schedule. I got a solution for that question, but I still want to get my commands to run from the admin interface. The obstacle I'm hitting is that my custom management commands aren't getting recognized once I get to the admin interface.
I traced this back to the __init__.py file of the django/core/management utility. There seems to be some strange behavior going on. When the server first comes up, a dictionary variable _commands is populated with the core commands (from django/core/management/commands). Custom management commands from all of the installed apps are also pushed into the _commands variable for an overall dictionary of all management commands.
Somehow, though between when the server starts and when django-chronograph goes to run the job from the admin interface, the _commands variable loses the custom commands; the only commands in the dictionary are the core commands. I'm not sure why this is. Could it be a path issue? Am I missing some setting? Is it a django-chronograph specific problem? So forget scheduling. How might I run a custom management command from the django admin graphical interface to prove that it can indeed be done? Or rather, how can I make sure that custom management commands available from said interface?
I'm also using django-chronograph
and for me it works fine. I did also run once into the problem that my custom commands were not regognized by the auto-discovery feature. I think the first reason was because the custom command had an error in it. Thus it might be an idea to check whether your custom commands run without problems from the command line.
The second reason was indeed some strange path issue. I might check back with my hosting provider to provide you with a solution. Will post back to you in a few days..
i am the "unix-guy" mentioned above by tom tom.
as far as i remember there were some issues in the cronograph code itself, so it would be a good idea to use the code tom tom posted in the comments.
where on the filesystem is django-cronograph stored (in you app-folder, in an extra "lib-folder" or in your site-packages?
when you have it in site-packages or another folder that is in your "global pythonpath" pathing should be no issue.
the cron-process itself DOES NOT USE THE SAME pythonpath, as your django app. remember: you start the cron-process via your crontab - right? so there are 2 different process who do not "know" each other: the cron-process AND the django-process (initialized by the webserver) so i would suggest to call the following script via crontab and export pythonpath again:
#!/bin/bash
PYTHONPATH=/path/to/libs:/path/to/project_root:/path/to/other/libs/used/in/project
export PYTHONPATH
python /path/to/project/manage.py cron
so the cron-started-process has the same pythonpath-information as your project.
greez from vienna/austria
berni

haystack's RealTimeSearchIndex causes django to hang on data entry

I'm using django-haystack and a xapian backend with real time indexing (haystack.indexes.RealTimeSearchIndexing) of model data and it works fine on my Ubuntu server. However, it causes django to hang upon data entry when I deployed the app on a RHEL5 server.
Everything is hunky dory if I switch to a standard SearchIndex.
Running ./manage.py rebuild_index manually works fine too.
The major differences between the two setups would be the versions of Python (2.4.3 vs 2.6.4) and the xapian (1.0.4-1 vs 1.0.15).
Any suggestions on what may be the problem?
Nothing interesting appears in the logs, and I've tried different databases (mysql, sqlite3) and deployment methods (mod_python, wsgi) with no luck yet.
I have noted the warning on the haystack docs stating that RealTimeSearchIndex is only handled gracefully with a Solr backend, however I'm running a very low traffic site with only occasional writes so I'm fine with some CPU overheads on writes.
Installing xapian-core and xapian-bindings from source solved the problem.
I initially used the RPM packages provided here.
Please note this from the author of xapian-haystack:
Because Xapian does not support simultaneous WritableDatabase connections, it is strongly recommended that users take care when using RealTimeSearchIndex to either set WSGIDaemonProcess processes=1 or use some other way of ensuring that there are not multiple attempts to write to the indexes. Alternatively, use SearchIndex and a cronjob to reindex content at set time intervals (sample cronjob can be found here http://gist.github.com/216247) or derive your own SearchIndex to implement some other form of keeping your indexes up to date.