django-import-export-celery-edx-copy 0.dev20220611232732

Process long running django imports and exports in celery

django-import-export-celery: process slow django imports and exports in celery

django-import-export-celery helps you process long running imports and exports in celery.

Basic installation

1. Set up celery to work with your project.

2. Add 'import_export_celery' to your INSTALLED_APPS settings variable

3. Add 'author.middlewares.AuthorDefaultBackendMiddleware' to your MIDDLEWARE_CLASSES

4. Configure the location of your celery module setup

   IMPORT_EXPORT_CELERY_INIT_MODULE = "projectname.celery"

Setting up imports with celery

A fully configured example project can be found in the example directory of this repository.

1. Perform the basic setup procedure described above.

2. Configure the IMPORT_EXPORT_CELERY_MODELS variable.

   def resource():  # Optional
       from myapp.models import WinnerResource
       return WinnerResource
   
   
   IMPORT_EXPORT_CELERY_MODELS = {
       "Winner": {
           'app_label': 'winners',
           'model_name': 'Winner',
           'resource': resource,  # Optional
       }
   }

   The available parameters are app_label, model_name, and resource. ‘resource’ should be a function which returns a django-import-export Resource.

3. Done

Preforming an import

You will find an example django application that uses django-import-export-celery for importing data. There are instructions for running the example application in the example directory’s README file. Once you have it running, you can perform an import with the following steps.

1. Navigate to the example applications admin page:

   

2. Navigate to the ImportJobs table:

   

3. Create a new import job. There is an example import CSV file in the example/example-data directory. Select that file. Select csv as the file format. We’ll be importing to the Winner’s model table.

   

4. Select “Save and continue editing” to save the import job and refresh until you see that a “Summary of changes made by this import” file has been created.

   

5. You can view the summary if you want. Your import has NOT BEEN PERFORMED YET!

   

6. Return to the import-jobs table, select the import job we just created, and select the “Perform import” action from the actions drop down.

   

7. In a short time, your imported Winner object should show up in your Winners table.

   

Setting up exports

As with imports, a fully configured example project can be found in the example directory.

1. Add a export_resource_classes classmethod to the model you want to export.

   @classmethod
   def export_resource_classes(cls):
       return {
           'winners': ('Winners resource', WinnersResource),
           'winners_all_caps': ('Winners with all caps column resource', WinnersWithAllCapsResource),
       }

   This should return a dictionary of tuples. The keys should be unique unchanging strings, the tuples should consist of a resource and a human friendly description of that resource.

2. Add the create_export_job_action to the model’s ModelAdmin.

   from django.contrib import admin
   from import_export_celery.admin_actions import create_export_job_action
   
   from . import models
   
   
   @admin.register(models.Winner)
   class WinnerAdmin(admin.ModelAdmin):
       list_display = (
           'name',
       )
   
       actions = (
           create_export_job_action,
       )

3. To customise export queryset you need to add get_export_queryset to the ModelResource.

   class WinnersResource(ModelResource):
       class Meta:
           model = Winner
   
       def get_export_queryset(self):
           """To customise the queryset of the model resource with annotation override"""
           return self.Meta.model.objects.annotate(device_type=Subquery(FCMDevice.objects.filter(
                   user=OuterRef("pk")).values("type")[:1])

4. Done!

Performing exports with celery

1. Perform the basic setup procedure described in the first section.

2. Open up the object list for your model in django admin, select the objects you wish to export, and select the Export with celery admin action.

3. Select the file format and resource you want to use to export the data.

4. Save the model

5. You will receive an email when the export is done, click on the link in the email

6. Click on the link near the bottom of the page titled Exported file.

For developers of this library

You can enter a preconfigured dev environment by first running make and then launching ./develop.sh to get into a docker compose environment packed with redis, celery, postgres and everything you need to run and test django-import-export-celery.

Before submitting a PR please run flake8 and (in the examples directory) python3 manange.py test.

Please note, that you need to restart celery for changes to propogate to the workers. Do this with docker-compose down celery, docker-compose up celery.

Credits

django-import-export-celery was developed by the Czech non-profit auto*mat z.s..