Metadata-Version: 2.1
Name: django-multitenant
Version: 3.1.1
Summary: Django Library to Implement Multi-tenant databases
Home-page: https://github.com/citusdata/django-multitenant
Author: Louise Grandjonc
Author-email: louise.grandjonc@microsoft.com
Keywords: citus django multi tenantdjango postgres multi-tenant
Classifier: Development Status :: 5 - Production/Stable 
Classifier: Topic :: Database
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3 :: Only
Description-Content-Type: text/markdown
License-File: LICENSE

# django-multitenant <br>[![Build Status](https://github.com/citusdata/django-multitenant/actions/workflows/django-multitenant-tests.yml/badge.svg)](https://github.com/citusdata/django-multitenant/actions/workflows/django-multitenant-tests.yml) [![Latest Documentation Status](https://readthedocs.org/projects/django-multitenant/badge/?version=latest)](https://django-multitenant.readthedocs.io/en/latest/?badge=latest)  [![Coverage Status](https://codecov.io/gh/citusdata/django-multitenant/branch/main/graph/badge.svg?token=taRgoSgHUw)](https://codecov.io/gh/citusdata/django-multitenant) [![PyPI Version](https://badge.fury.io/py/django-multitenant.svg)](https://badge.fury.io/py/django-multitenant)

Python/Django support for distributed multi-tenant databases like Postgres+Citus

Enables easy scale-out by adding the tenant context to your queries, enabling the database (e.g. Citus) to efficiently route queries to the right database node.

There are architecures for building multi-tenant databases viz. **Create one database per tenant**, **Create one schema per tenant** and **Have all tenants share the same table(s)**. This library is based on the 3rd design i.e **Have all tenants share the same table(s)**, it assumes that all the tenant relates models/tables have a tenant_id column for representing a tenant.

The following link talks more about the trade-offs on when and how to choose the right architecture for your multi-tenat database:

https://www.citusdata.com/blog/2016/10/03/designing-your-saas-database-for-high-scalability/

**Other useful links on multi-tenancy**:
1. https://www.citusdata.com/blog/2017/03/09/multi-tenant-sharding-tutorial/
1. https://www.citusdata.com/blog/2017/06/02/scaling-complex-sql-transactions/


## Installation:
1. `pip install  --no-cache-dir django_multitenant`

## Supported Django versions/Pre-requisites.

| Python                | Django        |Citus          |
| ----------------------| --------------|---------------|
| 3.7                   | 3.2           | 10  11        |
| 3.8 3.9 3.10 3.11     | 4.0           | 10  11        |
| 3.8 3.9 3.10 3.11     | 4.1           | 11            |



## Usage:

In order to use this library you can either use Mixins or have your models inherit from our custom model class.


### Changes in Models:
1. In whichever files you want to use the library import it:
   ```python
   from django_multitenant.fields import *
   from django_multitenant.models import *
   ```
2. All models should inherit the TenantModel class.
   `Ex: class Product(TenantModel):`
3. Define a static variable named tenant_id and specify the tenant column using this variable.You can define tenant_id in three ways. Any of them is acceptavle 
   * Using TenantMeta.tenant_field_name variable
   * Using TenantMeta.tenant_id variable
   * Using tenant_id field
   <br>


   > **Warning**
   > Using  tenant_id field directly in the class is not suggested since it may cause collision if class has a field named with 'tenant'
   <br>

4. All foreign keys to TenantModel subclasses should use TenantForeignKey in place of
   models.ForeignKey
5. A sample model implementing the above 2 steps:
   ```python
   class Store(TenantModel):
     name =  models.CharField(max_length=50)
     address = models.CharField(max_length=255)
     email = models.CharField(max_length=50)
     class TenantMeta:
       tenant_field_name = "id"
 
   class Product(TenantModel):
     store = models.ForeignKey(Store)
     name = models.CharField(max_length=255)
     description = models.TextField()
     class Meta:
       unique_together = ["id", "store"]
     class TenantMeta:
       tenant_field_name = "store_id"
   class Purchase(TenantModel):
     store = models.ForeignKey(Store)
     product_purchased = TenantForeignKey(Product)
     class TenantMeta:
       tenant_field_name = "store_id"
   ```


### Changes in Models using mixins:
1. In whichever files you want to use the library import it by just saying 
   ```python
   from django_multitenant.mixins import *
   ```
1. All models should use the `TenantModelMixin` and the django `models.Model` or your customer Model class
   `Ex: class Product(TenantModelMixin, models.Model):`
1. Define a static variable named tenant_id and specify the tenant column using this variable.
   `Ex: tenant_id='store_id'`
1. All foreign keys to TenantModel subclasses should use TenantForeignKey in place of
   models.ForeignKey
1. Referenced table in TenenatForeignKey should include a unique key including tenant_id and primary key
   ```
   Ex:       
   class Meta:
        unique_together = ["id", "store"]
   ```
1. A sample model implementing the above 3 steps:
   ```python

   class ProductManager(TenantManagerMixin, models.Manager):
     pass
 
   class Product(TenantModelMixin, models.Model):
     store = models.ForeignKey(Store)
     tenant_id='store_id'
     name = models.CharField(max_length=255)
     description = models.TextField()
 
     objects = ProductManager()
 
     class Meta:
       unique_together = ["id", "store"]
 
   class PurchaseManager(TenantManagerMixin, models.Manager):
     pass
 
   class Purchase(TenantModelMixin, models.Model):
     store = models.ForeignKey(Store)
     tenant_id='store_id'
     product_purchased = TenantForeignKey(Product)
 
     objects = PurchaseManager()
   ```



### Automating composite foreign keys at db layer:
1. Creating foreign keys between tenant related models using TenantForeignKey would automate adding tenant_id to reference queries (ex. product.purchases) and join queries (ex. product__name). If you want to ensure to create composite foreign keys (with tenant_id) at the db layer, you should change the database ENGINE in the settings.py to `django_multitenant.backends.postgresql`.
  ```python
    'default': {
        'ENGINE': 'django_multitenant.backends.postgresql',
        ......
        ......
        ......
  }
  ```
### Where to Set the Tenant?
1. Write authentication logic using a middleware which also sets/unsets a tenant for each session/request. This way developers need not worry about setting a tenant on a per view basis. Just set it while authentication and the library would ensure the rest (adding tenant_id filters to the queries). A sample implementation of the above is as follows:
   ```python
       from django_multitenant.utils import set_current_tenant
       
       class MultitenantMiddleware:
           def __init__(self, get_response):
               self.get_response = get_response

           def __call__(self, request):
               if request.user and not request.user.is_anonymous:
                   set_current_tenant(request.user.employee.company)
               return self.get_response(request)
   ```
   
   In your settings, you will need to update the `MIDDLEWARE` setting to include the one you created.
   ```python
      MIDDLEWARE = [
          # ...
          # existing items
          # ...
          'appname.middleware.MultitenantMiddleware'
      ]
   ```
2. Set the tenant using set_current_tenant(t) api in all the views which you want to be scoped based on tenant. This would scope all the django API calls automatically(without specifying explicit filters) to a single tenant. If the current_tenant is not set, then the default/native API  without tenant scoping is used.
   ```python
    def application_function:
      # current_tenant can be stored as a SESSION variable when a user logs in.
      # This should be done by the app
      t = current_tenant
      #set the tenant
      set_current_tenant(t);
      #Django ORM API calls;
      #Command 1;
      #Command 2;
      #Command 3;
      #Command 4;
      #Command 5;
   ```

## Supported APIs:
1. Most of the APIs under Model.objects.*.
1. Model.save() injects tenant_id for tenant inherited models.
   ```python
   s=Store.objects.all()[0]
   set_current_tenant(s)
   
   #All the below API calls would add suitable tenant filters.
   #Simple get_queryset()
   Product.objects.get_queryset()
   
   #Simple join
   Purchase.objects.filter(id=1).filter(store__name='The Awesome Store').filter(product__description='All products are awesome')
   
   #Update
   Purchase.objects.filter(id=1).update(id=1)
   
   #Save
   p=Product(8,1,'Awesome Shoe','These shoes are awesome')
   p.save()
   
   #Simple aggregates
   Product.objects.count()
   Product.objects.filter(store__name='The Awesome Store').count()
   
   #Subqueries
   Product.objects.filter(name='Awesome Shoe');
   Purchase.objects.filter(product__in=p);

   ```

## Credits

This library uses similar logic of setting/getting tenant object as in [django-simple-multitenant](https://github.com/pombredanne/django-simple-multitenant). We thank the authors for their efforts.

## License

Copyright (C) 2018, Citus Data
Licensed under the MIT license, see LICENSE file for details.
