Skip to main content
This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (
Help us improve Python packaging - Donate today!

Pulls data from agile systems and analyzes it.

Project Description

# jira-agile-extractor

[![Build Status](](
[![Coverage Status](](
[![Stories in Ready](](

Extract data about items from JIRA, output raw data and interesting reports

## Architecture

The agile extractor is composed of several different components. Fetchers gather data, which is fed to one or more analyzer/reporters/writer combos.

### Components

#### Fetchers

Fetchers are responsible for getting raw data about tickets from agile data sources (JIRA, Trello, etc.)

They depend on fetcher specific configuration including things like API end points, credentials and search criteria.

They produce a set of AgileTicket objects with a known interface.

#### Analyzers

Analyzers take in a set of AgileTicket objects and an analysis configuration and return a set of AnalyzedTicket objects that contain the original AgileTicket as well as additional data calculated in light of the analysis context.

For example, a CycleTime analyzer would look for a start_state and an end_state in the configuration, and calculate the days between those and store it as cycle_time on the AnalyzedTicket object.

#### Reporters

Reporters take in a set of AnalyzedTicket objects and a report configuration and return a Report object. It has two standard attributes:
* Table - A representation of the report as a 2 dimensional table, provides column headers, row labels, and values for each row/column combo
* Summary - A key/value store of report specific data

#### Writers

Writers take in a Report and a WriterConfig can write it out a particular source. Examples:
* CSV to standout
* CSV to a file
* Google spreadsheet
* Plotly

### Diagram

+-----------> Reporter: Distribution
| title=Cycle Time Distribution
| start_date=1/1/2015
| end_date=3/31/2015
| field=cycle_time
+-----------> Reporter: Throughput
| title=Weekly Throughput
| start_date=1/1/2015
| end_date=3/31/2015
| period=weekly
+-----------------> Analyzer: Cycle Time +
| start_state=Backlog
| end_state=Deployed
| issue_types=Story
Fetcher | +-----------> Reporter: Throughput
source=JIRA +----------------> Analyzer: Defect + title=Escaped Defects
filter=1111 | defect_types=Bug,Incident start_date=1/1/2015
auth=user,pass | end_date=3/31/2015
+----------------> Analyzer: Cycle Time +-----------> Reporter: Throughput
start_state=Analysis title=Weekly Analysis Throughput
end_state=Dev start_date=1/1/2015

Release History

History Node


History Node


History Node


This version
History Node


History Node


History Node


History Node


History Node


History Node


History Node


History Node


History Node


History Node


History Node


History Node


History Node


History Node


Download Files

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

Filename, Size & Hash SHA256 Hash Help File Type Python Version Upload Date
(11.4 kB) Copy SHA256 Hash SHA256
Source None Feb 3, 2017

Supported By

Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Google Google Cloud Servers DreamHost DreamHost Log Hosting