Pocket Data with Elastic Stack & Docker

This repository will retrieve data from Pocket API, prep data for ingest into the Elastic Stack (Elasticsearch, Logstash, Kibana) using Elastic's official docker images.

Instead of this

Wouldn't this be better!

Get the most our your Pocket Data!!

• Date Added
• Unique URLs
• Unique Given Domain
• Unique Resolved Domain
• Tag Cloud

As you can see, I've been a long time user of Pocket even before it was rebranded from Read It Later.

Tested Versions

Example has been tested in following versions:

• Python 3.8
• Elasticsearch 7.8.0
• Filebeat 7.8.0
• Kibana 7.8.0
• Docker 19.03.8
• Docker Compose 1.25.5

Requirements Pocket App

Assumption is that you already have created a Pocket App with credentials.

If you have an account, but do not have an App, following instructions:

• Pocket Developer Site
• Create New App
• Authenticate

If you do not have an Pocket Account, jump down to Launch Containers, Ingest Data

Getting Started - Data Prep

1. Update Credentials Update config-example.py with Pocket App credentials then save as config.py

2. Retrieve and Prep Pocket Data

   retrieve-prep-pocket-data.py will retrieve and prep data from the Pocket API. The default parameter is one day back.

   • Removes images and videos
   • Creates list for tags and authors while removing item_id
   • Dumps JSON lines to log file ready for Logstash

   Usage:

   usage: retrieve-prep-pocket-data.py [-h] [-d DAYS_BACK]
   
   Pass number of days back to start from
   
   optional arguments:
   -h, --help            show this help message and exit
   -d DAYS_BACK, --days_back DAYS_BACK
   						Number of days back
   

   Example:

    ``` 
    cd scripts
    python retrieve-prep-pocket-data.py -d 10
    ```
   

Launch Stack to Ingest Data

1. Launch Containers and Test Connections

   Docker Compose Ingest will launch Elasticsearch, Logstash and Kibana official Elastic images.

   docker-compose -f docker-compose-ingest.yml up

   • Elasticsearch (http://localhost:9200)
   • Logstash (http://localhost:9600)
   • Kibana (http://localhost:5601)

2. Ingest Data with Logstash

   • Logstash will Ingest *.logs in ./data/logs
   • Creates fields based on uri for given_domain and resolved_domain
   • Transforms UNIX Timestamps to ISO Dates for time_added and time_updated
   • Outputs to Elasticsearch to Pocket Index while setting document_id to item_id

3. Import Visualizations

   • Launch Kibana from browser: http://localhost:5601
   • From Side Navigation Bar
     • Select Stack Management
     • Under Kibana select Saved Objects
     • Select Import
     • Navigate to local repo then elastic-stack/config/kibana/Kibana780-pocket-dashboards.ndjson
     • Select Import
     • Select Confirm Changes
     • Select Done
   • From Side Navigation Bar
     • Select Dashboard
     • Select Pocket Overview

4. Shutdown Stack You can stop the Stack without loosing data. The ingested data will persist until you remove the volume.

   docker-compose -f docker-compose-ingest.yml down

Launch Stack to Review Data

You can start the Stack with only Elasticsearch and Kibana to view existing data.

Start: `docker-compose -f docker-compose.yml up`
Stop: `docker-compose -f docker-compose.yml down`