Skip to main content

Django app to easily track and store views request and responses

Project description

REST_Tracker

Django app to easily track and store views request and responses

Requirements

python3.7+
Celery backend for task management

How To

Step 1: Pip install the rest-tracker library (this will install django, django-rest-framework, celery, redis, and psycopg2)

pip3 install rest-tracker 

Step 2: Add the rest-tracker django app to the installed apps in settings.py

INSTALLED_APPS = [
    'django.contrib.admin',
    ...
    'rest_framework',
    'rest_tracker'
]

Step 3: Add the tracker decorator to any Django View.

In this example, the /testing route is going to be tracked by rest-tracker

from rest_framework import viewsets
from rest_framework.response import Response
from rest_framework.decorators import action

from rest_tracker.decorators import tracker

# Create your views here.

class TestView(viewsets.GenericViewSet):

    @tracker
    @action(detail=False, methods=['get'])
    def testing(self, request):
        return Response({'testing': 'ok'}, status=200)

Step 4: Add the rest-tracker urls to start viewing the tracked data

from django.contrib import admin
from django.urls import path, include

urlpatterns = [
    path('admin/', admin.site.urls),
    ...
    path('', include('rest_tracker.urls'))
]

Captured Data

The rest-track currently collects the following data per Request/Response

Request: Method, Scheme, Host, Path, Raw URI, and User Agent
Response: Status Code, Content Size

The following is an example of collected data from the test route

route /rest_tracker, method GET

[
    {
        "id": 1,
        "created": "2020-08-17T00:44:02.050329Z",
        "method": "GET",
        "scheme": "http",
        "url": {
            "host": "127.0.0.1:8000",
            "path": "/test/testing",
            "raw": "http://127.0.0.1:8000/test/testing"
        },
        "user_agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.105 Safari/537.36",
        "responses": [
            {
                "created": "2020-08-17T00:51:23.059319Z",
                "status_code": 200,
                "content_size": 5952
            },
            {
                "created": "2020-08-17T00:51:35.809836Z",
                "status_code": 200,
                "content_size": 5956
            },
            {
                "created": "2020-08-17T01:15:36.772500Z",
                "status_code": 200,
                "content_size": 5956
            }
        ]
    },
    {
        "id": 2,
        "created": "2020-08-17T01:16:19.968399Z",
        "method": "POST",
        "scheme": "http",
        "url": {
            "host": "127.0.0.1:8000",
            "path": "/test/testing_post",
            "raw": "http://127.0.0.1:8000/test/testing_post"
        },
        "user_agent": "curl/7.54.0",
        "responses": [
            {
                "created": "2020-08-17T01:16:19.993153Z",
                "status_code": 200,
                "content_size": 16
            }
        ]
    }
]

The next example is the rest-tracker route for collecting counts based on these data points.

route /rest_tracker/counts, method GET

{
    "methods": {
        "GET": 1,
        "POST": 1
    },
    "schemes": {
        "http": 2
    },
    "user_agents": {
        "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.105 Safari/537.36": 1,
        "curl/7.54.0": 1
    },
    "hosts": {
        "127.0.0.1:8000": 2
    },
    "requests": 4
}

Elasticsearch (optional)

If you have Elasticsearch and Kibana in your cluster you can easily use rest_tracker to write to an index for easy dashboards and reporting. To create the index:

POST    /rest_tracker/init_es       This will create the Elasticsearch index

Then all request/response tracked will be sent to the ES index as well as stored in the database.

Rest-Tracker Routes

GET     /rest_tracker               Raw data from collected request and responses
GET     /rest_tracker/counts        Counts based on collected request and responses
GET     /rest_tracker/methods       Counts for methods collected from request
GET     /rest_tracker/schemes       Counts for schemes collected from request
GET     /rest_tracker/hosts         Counts for hosts collected from request
GET     /rest_tracker/user_agents   Counts for user agents collected from request
GET     /rest_tracker/requests      Overall count of requests that have been collected
POST    /rest_tracker/init_es       Create Elasticsearch index and also write to ES cluster

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rest_tracker-0.2.7.tar.gz (7.3 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page