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Django Introspection REST API.

Project description


Django app that exposes some internals through a REST API. Intended for development tools comsumption.

The first objective is writing an emacs plugin that helps developing django apps.


To install from pypi just run pip install djira.

To install de development version clone the git repo:

git clone

From a virtualenv (recommended), install the package in development mode:

cd djira
python develop


Add djira to INSTALLED_APPS in your project’s config and include djira URLs in your root url definition:

urlpatterns = [
    url(r"^__djira__/", include("djira.urls")),

In order to test the installation start the development server and point a browser to http://localhost:8000/__djira__/__ping__/, this should display a pong response.

Calling an endpoint

As seen in the previous section, calling an endpoint is just a matter of executing a GET request on some URL.

Warning: djira provides a read-only API so it only accepts GET and HEAD requests.

In order to improve readability the output from the following examples has been prettyfied. Depending on the plugins you have enabled the output may be different.

$ curl http://localhost:8000/__djira__/__ping__/

If you get no output make sure you have included the trailing slash in the URL.

The API can be queried to get details about the endpoints. The __list__ endpoint returns info about the registered endpoints:

$ curl http://localhost:8000/__djira__/__list__/
    "name": "__list__",
    "description": "List available endpoints.",
    "parameters": {}
    "name": "__ping__",
    "description": "Test service availability.",
    "parameters": {}
    "name": "__version__",
    "description": "Get djira API version.",
    "parameters": {}
    "name": "get_model_info",
    "description": "Return a dict with info about the given model.",
    "parameters": {
      "description": "",
      "type": "schema",
      "extra": {
        "model_id": {
          "description": "Model name.",
          "type": "string",
          "required": true
    "name": "get_models_names",
    "description": "Return a list with the models names.",
    "parameters": {}

If the endpoint is omitted it is assumed to be __list__.

Arguments are passed in the query string:

$ curl http://localhost:8000/__djira__/get_model_info/?model_id=FooBarModel
  "name": [
  "verbose_name": "Some descriptive text",
  "fields": [
      "name": "my_field",
      "type": "int"

Available endpoints

Only the __list__, __ping__ and __version__ endpoints are guaranteed to be available, the remaining endpoints (including those provided by djira itself) are implemented as plugins and can be replaced or removed on a per project basis.


I want djira to be easily extensible so you can add your own endpoints to the API without getting a headache.

djira uses pluggy in order to manage the plugins.

Writing plugins

Take a look at the module to see what the current specification of the plugin API is.

Take a look at the module for an example.

Take a look at the pluggy docs for extra details.

Warning: endpoints with dunder names are reserved for internal usage.

Loading plugins

In order to discover and load plugins djira implements two plugin loaders:

  • entry_points: loads all plugins declared in a djira entry point. Load order is undefined. This is the default loader.

  • django_config: loads all plugins listed in the enabled_plugins configuracion option. This loader gives finer control on what plugins are loaded on what order at the expense of increased verbosity.

The plugin loader is configured in

    "plugin_loader": "djira.plugin_loader.django_config",
    "enabled_plugins": ["djira.demo"],

This example enables the djira.demo plugin.

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