arpith-kp/CampaignAnalytics

Analytics project

This is sample project to show how to do analytics on Ad Campaigns

Tech Stack

• Python
• Druid
• Imply
• Django

Setup

• We need to setup Druid which is used for analytics, once Druid/Imply to setup, install requirements specified in requirements.txt in an virtualenv.
• Once setup is complete, start Imply bin/supervise -c conf/supervise/quickstart.conf. You need to be in imply-2.2.3 folder
• Start REST server python manage.py runserver. You need to be in analytics(src code) folder.

Usage

• You can use Pivot to do visual analysis on the data.
• You can also use Rest API to get similar data.

Rest API's

Metrics

URL

• <api/v1/metrics/campaign/(campaign_id)>

• Method:

  <GET>

• URL Params

  <campaign_id>

  Required:

  campaign_id=[integer]

• Success Response:

  • Code: 200
    Content: json [{"event": {"adId": "AdID","impressions": IMPRESSION,"interactions": INTERACTIONS,"swipes": SWIPES}, timestamp": "TIMESTAMP","version": "v1"}]

• Error Response:

  • Code: 500
    Content: { error : "Internal server Error" }

• Sample Call:

  <_http GET http://localhost:8000/api/v1/metrics/campaign/105._>

URL

• <api/v1/api/v1/metrics/last_week>

• Method:

  <GET>

• Success Response:

  • Code: 200
    Content: json [ { "event": { "adId": "AdId", "impressions": IMPRESSIONS, "user": USER }, "timestamp": "TIMESTAMP", "version": "v1" }]

• Error Response:

  • Code: 500
    Content: { error : "Internal server Error" }

• Sample Call:

  <_http GET http://localhost:8000/api/v1/metrics/last_week_>