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django-salesforce 0.2.1.2

a Salesforce backend for Django's ORM

Latest Version: 0.5

This library allows you to load and edit the objects in any Salesforce instance using Django models. The integration is fairly complete, and generally seamless for most uses. It works by integrating with the Django ORM, allowing access to the objects in your SFDC instance as if they were “local” databases.

Quick Start

  1. Install django-salesforce: pip install django-salesforce

  2. Add the salesforce app to your INSTALLED_APPS setting:

    INSTALLED_APPS = {
        "django.contrib.auth",
        "django.contrib.contenttypes",
        ...
        ...
        "salesforce"
    }
    
  3. Add a salesforce connection to your DATABASES setting:

    'salesforce': {
        'ENGINE': 'salesforce.backend',
        "CONSUMER_KEY" : '',
        "CONSUMER_SECRET" : '',
        'USER': '',
        'PASSWORD': '',
        'HOST': 'https://test.salesforce.com',
    }
    
  4. (optional) To override the default REST timeout of 3 seconds, define SALESFORCE_QUERY_TIMEOUT in your settings file:

    SALESFORCE_QUERY_TIMEOUT = 3
    
  5. (optional) If you want to use another name for your Salesforce DB connection, define SALESFORCE_DB_ALIAS in your settings file:

    SALESFORCE_DB_ALIAS = 'salesforce'
    
  6. Add salesforce.router.ModelRouter to your DATABASE_ROUTERS setting:

    DATABASE_ROUTERS = [
        "salesforce.router.ModelRouter"
        ]
    
  7. Define a model that extends salesforce.models.SalesforceModel

  8. If you want to use the model in the Django admin interface, use a ModelAdmin that extends salesforce.admin.RoutedModelAdmin

  9. You’re all done! Just use your model like a normal Django model.

Caveats

This package is in continuous development, and the ultimate goal is to support all reasonable features of the Salesforce platform, but for now here are the potential pitfalls and unimplemented operations:

  • Large Objects — Since the entire result set needs to be transferred over HTTP, and since it’s common to have extremely high column counts on full object queries, it’s assumed that users will create models that are specific to their individual applications’ needs. Models that have been included with this library are for example and documentation purposes.
  • Custom Object Names — Custom Salesforce tables and columns (and a couple of other SF concepts) are indicated with a double-underscore in the name, and will need to have their Django field name overridden (using ‘db_column’), so as not to interfere with the double-underscore syntax used in Django query filters.
  • Inheritence — All models for object types on Salesforce must extend salesforce.models.SalesforceModel. The model router checks for this to determine which models to handle through the Salesforce connection.
  • Multiple Salesforce Connections — Creating more than one salesforce connection entry in DATABASES will probably fail in unpredictable ways. ;-)
  • Multiple Updates — Multiple update support is not yet implemented.
  • Multiple Deletes — Multiple delete support is not yet implemented.
  • Database Sync — There is no plan to support DB creation for the forseeable future.

Troubleshooting

  • Slow Unit Tests - Running tests which use the Django TestCase class can run significantly slower when a salesforce backend Database is configured in the DATABASES setting. This occurs regardless of whether the salesforce DB router is configured.

    https://github.com/freelancersunion/django-salesforce/issues/28

    One possible solution can be to remove the applications with salesforce models from some tests or test cases by explicitely defining TransactionTestCase.available_apps. Other solution can be to temporary remove salesforce database from DATABASES for some tests or for complete testcases by override_settings.

    Both optimizations are possible only with knowledge of what will be tested, therefore it can not be done by django-salesforce.

 
File Type Py Version Uploaded on Size
django-salesforce-0.2.1.2.tar.gz (md5) Source 2014-03-25 37KB
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