agile-analytics
Readme
Extract data about items from JIRA, output raw data and interesting reports
The agile extractor is composed of several different components. Fetchers gather data, which is fed to one or more analyzer/reporters/writer combos.
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 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 take in a set of AnalyzedTicket objects and a report configuration and return a Report object. It has two standard attributes:
Writers take in a Report and a WriterConfig can write it out a particular source. Examples:
+-----------> 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
end_date=3/31/2015
period=weekly
FAQs
Pulls data from agile systems and analyzes it.
We found that agile-analytics demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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