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Extract cycle time analytics data from JIRA

Project description

This utility helps extract data from JIRA for processing with the ActionableAgile™ Analytics tool (https://www.actionableagile.com/analytics-tools/), as well as ad-hoc analysis using Excel.

It will produce a CSV file with one row for each JIRA issue matching a set of filter criteria, containing basic information about the issue as well as the date the issue entered each step in the main cycle workflow.

This data can be used to produce a Cumulative Flow Diagram, a cycle time scatterplot, a cycle time histogram, and other analytics based on cycle time.

To make it easier to draw these diagrams, the tool can also be used to output CSV files with pre-calculated values for charting in e.g. Excel.

Installation

Install Python 2.7 and pip. See http://pip.readthedocs.org/en/stable/installing/.

Install using pip:

$ pip install jira-cycle-extract

If you get errors, try to install numpy and pandas separately first:

$ pip install numpy pandas
$ pip install jira-cycle-extract

This will install a binary called jira-cycle-extract. You can test that it was correctly installed using:

$ jira-cycle-extract -h

If this doesn’t work, check the output of pip install jira-cycle-extract to see where it may have installed the binary.

Configuration

Write a YAML configuration file like so, calling it e.g. config.yaml:

# How to connect to JIRA?
Connection:
    Domain: https://myserver.atlassian.net
    Username: myusername # If missing, you will be prompted at runtime
    Password: secret     # If missing, you will be prompted at runtime

# What to search for?
Criteria:
    Project: ABC # JIRA project key to search
    Issue types: # Which issue types to include
        - Story
        - Defect
    Valid resolutions: # Which resolution statuses to include (unresolved is always included)
        - Done
        - Closed
    JQL: labels != "Spike" # Additional filter as raw JQL, optional

# Describe the workflow. Each step can be mapped to either a single JIRA
# status, or a list of statuses that will be treated as equivalent
Workflow:
    Open: Open
    Analysis IP: Analysis in Progress
    Analysis Done: Analysis Done
    Development IP: Development in Progress
    Development Done: Development Done
    Test IP: Test in Progress
    Test Done: Test Done
    Done:
        - Closed
        - Done

# Map field names to additional attributes to extract
Attributes:
    Components: Component/s
    Priority: Priority
    Release: Fix version/s

If you are unfamiliar with YAML, remember that:

  • Comments start with #

  • Sections are defined with a name followed by a colon, and then an indented block underneath. Connection, Criteria, Workflow and Attributes area all sections in the example above.

  • Indentation has to use spaces, not tabs!

  • Single values can be set using Key: value pairs. For example, Project: ABC above sets the key Project to the value ABC.

  • Lists of values can be set by indenting a new block and placing a - in front of each list value. In the example above, the Issue types list contains the values Story and Defect.

The sections for Connection, Criteria and Workflow are required.

Under Conection, only Domain is required. If not specified, the script will prompt for both or either of username and password when run.

Under Criteria, all fields are technically optional, but you should specify at least some of them to avoid an unbounded query. Issue types and Valid resolutions can be set to either single values or lists.

Under Workflow, at least two steps are required. Specify the steps in order. You may either specify a single workflow value or a list (as shown for Done above), in which case multiple JIRA statuses will be collapsed into a single state for analytics purposes.

The file, and values for things like workflow statuses and attributes, are case insensitive.

When specifying attributes, use the name of the field (as rendered on screen in JIRA), not its id (as you might do in JQL), so e.g. use Component/s not components.

The attributes Type (issue type), Status and Resolution are always included.

When specifying fields like Component/s or Fix version/s that may have lists of values, only the first value set will be used.

Running

To produce the basic cycle time data, run jira-cycle-extract passing the name of the YAML configuration file and the name of the output CSV file:

$ jira-cycle-extract config.yaml data.csv

This will extract a CSV file called data.csv with cycle data based on the configuration in config.yaml.

Use the -v option to print more information during the extract process.

Use the -n option to limit the number of items fetched from JIRA, based on the most recently updated issues. This is useful for testing the Configuration without waiting for long downloads:

$ jira-cycle-extract -v -n 10 config.yaml data.csv

To produce Cumulative Flow Diagram statistics, use the –cfd option:

$ jira-cycle-extract --cfd cfd.csv config.yaml data.csv

This will yield a cfd.csv file with one row for each date, one column for each step in the workflow, and a count of the number of issues in that workflow state on that day. To plot a CFD, chart this data as a (non-stacked) area chart. You should technically exclude the series in the first column if it represents the backlog!

To produce cycle time scatter plot statistics, use the –scatterplot option:

$ jira-cycle-extract --scatterplot scatterplot.csv config.yaml data.csv

This will yield a scatterplot.csv file with one row for each item that was completed (i.e. it reached the last workflow state), with columns giving the completion date and the number of days elapsed from the item entering the first active state (i.e. the second step in the workflow, on the basis that the first item represents a backlog or intake queue) to the item entering the completed state. These two columns can be plotted as an X/Y scatter plot. Further columns contain the dates of entry into each workflow state and the various issue metadata to allow further filtering.

To be able to easily draw a histogram of the cycle time values, use the –histogram option:

$ jira-cycle-extract --histogram histogram.csv config.yaml data.csv

This will yield a histogram.csv file with two columns: bin ranges and the number of items with cycle times falling within each bin. These can be charted as a column or bar chart.

To find out the 30th, 50th, 70th, 85th and 95th percentile cycle time values, pass the –percentiles option:

$ jira-cycle-extract --scatterplot scatterplot.csv --percentiles config.yaml data.csv

These will be printed to the console.

Troubleshooting

  • If Excel complains about a SYLK format error, ignore it. Click OK. See https://support.microsoft.com/en-us/kb/215591.

  • JIRA error messages may be printed out as HTML in the console. The error is in there somewhere, but may be difficult to see. Most likely, this is either an authentication failure (incorrect username/password or blocked account), or an error in the Criteria section resulting in invalid JQL.

  • If you aren’t getting the issues you expected to see, use the -v option to see the JQL being sent to JIRA. Paste this into the JIRA issue filter search box (“Advanced mode”) to see how JIRA evaluates it.

  • Old workflow states can still be part of an issue’s history after a workflow has been modified. Use the -v option to find out about workflow states that haven’t been mapped.

  • Excel sometimes picks funny formats for data in CSV files.

Changelog

0.3 - October 11 2015
  • Add proper support for –cfd, –scatterplot, –percentiles and –histogram

  • Fix some typing issues with the main cycle data extract.

0.2 - October 10 2015
  • Fix documentation errors

0.1 - October 10 2015
  • Initial release

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