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Issue Metrics Action

CodeQL Docker Image CI Python package

This is a GitHub Action that searches for pull requests/issues/discussions in a repository and measures the time to first response for each one. It then calculates the average time to first response and writes the issues/pull requests/discussions with their metrics to a Markdown file. The issues/pull requests/discussions to search for can be filtered by using a search query.

This action was developed by the GitHub OSPO for our own use and developed in a way that we could open source it that it might be useful to you as well! If you want to know more about how we use it, reach out in an issue in this repository.

To find syntax for search queries, check out the documentation on searching issues and pull requests or the documentation on searching discussions.

Example use cases

  • As a maintainer, I want to see metrics for issues and pull requests on the repository I maintain in order to ensure I am giving them the proper amount of attention.
  • As a first responder on a repository, I want to ensure that users are getting contact from me in a reasonable amount of time.
  • As an OSPO, I want to see how many open source repository requests are open/closed, and metrics for how long it takes to get through the open source process.
  • As a product development team, I want to see metrics around how long pull request reviews are taking, so that we can reflect on that data during retrospectives.

Support

If you need support using this project or have questions about it, please open up an issue in this repository. Requests made directly to GitHub staff or support team will be redirected here to open an issue. GitHub SLA's and support/services contracts do not apply to this repository.

Use as a GitHub Action

  1. Create a repository to host this GitHub Action or select an existing repository.
  2. Create the env values from the sample workflow below (GH_TOKEN, SEARCH_QUERY) with your information as repository secrets. More info on creating secrets can be found here. Note: Your GitHub token will need to have read access to the repository in the organization that you want evaluated
  3. Copy the below example workflow to your repository and put it in the .github/workflows/ directory with the file extension .yml (ie. .github/workflows/issue-metrics.yml)

Configuration

Below are the allowed configuration options:

field required default description
GH_TOKEN True The GitHub Token used to scan the repository. Must have read access to all repository you are interested in scanning.
SEARCH_QUERY True The query by which you can filter issues/prs which must contain a repo: entry or an org: entry. For discussions, include type:discussions in the query.
HIDE_TIME_TO_FIRST_RESPONSE False False If set to true, the time to first response will not be displayed in the generated markdown file.
HIDE_TIME_TO_CLOSE False False If set to true, the time to close will not be displayed in the generated markdown file.
HIDE_TIME_TO_ANSWER False False If set to true, the time to answer a discussion will not be displayed in the generated markdown file.

Example workflows

Calculated Time Example

This workflow searches for the issues created last month, and generates an issue with metrics.

name: Monthly issue metrics
on:
  workflow_dispatch:
  schedule:
    - cron: '3 2 1 * *'

jobs:
  build:
    name: issue metrics
    runs-on: ubuntu-latest
    
    steps:

    - name: Get dates for last month
      shell: bash
      run: |
        # Get the current date
        current_date=$(date +'%Y-%m-%d')

        # Calculate the previous month
        previous_date=$(date -d "$current_date -1 month" +'%Y-%m-%d')

        # Extract the year and month from the previous date
        previous_year=$(date -d "$previous_date" +'%Y')
        previous_month=$(date -d "$previous_date" +'%m')

        # Calculate the first day of the previous month
        first_day=$(date -d "$previous_year-$previous_month-01" +'%Y-%m-%d')

        # Calculate the last day of the previous month
        last_day=$(date -d "$first_day +1 month -1 day" +'%Y-%m-%d')

        echo "$first_day..$last_day"
        echo "last_month=$first_day..$last_day" >> "$GITHUB_ENV"

    - name: Run issue-metrics tool
      uses: github/issue-metrics@v2
      env:
        GH_TOKEN: ${{ secrets.GH_TOKEN }}
        SEARCH_QUERY: 'repo:owner/repo is:issue created:${{ env.last_month }} -reason:"not planned"'

    - name: Create issue
      uses: peter-evans/create-issue-from-file@v4
      with:
        title: Monthly issue metrics report
        content-filepath: ./issue_metrics.md
        assignees: <YOUR_GITHUB_HANDLE_HERE>

Fixed Time Example

This workflow searches for the issues created between 2023-05-01..2023-05-31, and generates an issue with metrics.

name: Monthly issue metrics
on:
  workflow_dispatch:

jobs:
  build:
    name: issue metrics
    runs-on: ubuntu-latest
    
    steps:

    - name: Run issue-metrics tool
      uses: github/issue-metrics@v2
      env:
        GH_TOKEN: ${{ secrets.GH_TOKEN }}
        SEARCH_QUERY: 'repo:owner/repo is:issue created:2023-05-01..2023-05-31 -reason:"not planned"'

    - name: Create issue
      uses: peter-evans/create-issue-from-file@v4
      with:
        title: Monthly issue metrics report
        content-filepath: ./issue_metrics.md
        assignees: <YOUR_GITHUB_HANDLE_HERE>

SEARCH_QUERY: Issues or Pull Requests? Open or closed?

This action can be configured to run metrics on discussions, pull requests and/or issues. It is also configurable by whether they were open or closed in the specified time window. Further query options are listed in the documentation on searching issues and pull requests or the documentation on searching discussions. Here are some search query examples:

Issues opened in May 2023:

  • repo:owner/repo is:issue created:2023-05-01..2023-05-31

Issues closed in May 2023 (may have been open in May or earlier):

  • repo:owner/repo is:issue closed:2023-05-01..2023-05-31

Pull requests opened in May 2023:

  • repo:owner/repo is:pr created:2023-05-01..2023-05-31

Pull requests closed in May 2023 (may have been open in May or earlier):

  • repo:owner/repo is:pr closed:2023-05-01..2023-05-31

Discussions opened in May 2023:

  • repo:owner/repo type:discussions created:2023-05-01..2023-05-31

Discussions opened in May 2023 with category of engineering and label of question:

  • repo:owner/repo type:discussions created:2023-05-01..2023-05-31 category:engineering label:"question"

Both issues and pull requests opened in May 2023:

  • repo:owner/repo created:2023-05-01..2023-05-31

Both issues and pull requests closed in May 2023 (may have been open in May or earlier):

  • repo:owner/repo closed:2023-05-01..2023-05-31

OK, but what if I want both open or closed issues and pull requests? Due to limitations in issue search (no ability for OR logic), you will need to run the action twice, once for opened and once for closed. Here is an example workflow that does this:

name: Monthly issue metrics
on:
  workflow_dispatch:
  schedule:
    - cron: '3 2 1 * *'

jobs:
  build:
    name: issue metrics
    runs-on: ubuntu-latest

    steps:
    
    - name: Run issue-metrics tool for issues and prs opened in May 2023
      uses: github/issue-metrics:v2
      env:
        GH_TOKEN: ${{ secrets.GH_TOKEN }}
        SEARCH_QUERY: 'repo:owner/repo created:2023-05-01..2023-05-31 -reason:"not planned"'

    - name: Create issue for opened issues and prs
      uses: peter-evans/create-issue-from-file@v4
      with:
        title: Monthly issue metrics report  for opened issues and prs
        content-filepath: ./issue_metrics.md
        assignees: <YOUR_GITHUB_HANDLE_HERE>
    
    - name: Run issue-metrics tool for issues and prs closed in May 2023
      uses: github/issue-metrics:v2
      env:
        GH_TOKEN: ${{ secrets.GH_TOKEN }}
        SEARCH_QUERY: 'repo:owner/repo closed:2023-05-01..2023-05-31 -reason:"not planned"'

    - name: Create issue for closed issues and prs
      uses: peter-evans/create-issue-from-file@v4
      with:
        title: Monthly issue metrics report for closed issues and prs
        content-filepath: ./issue_metrics.md
        assignees: <YOUR_GITHUB_HANDLE_HERE>

Example issue_metrics.md output

Here is the output with no hidden columns:

# Issue Metrics

| Metric | Value |
| --- | ---: |
| Average time to first response | 0:50:44.666667 |
| Average time to close | 6 days, 7:08:52 |
| Average time to answer | 1 day |
| Number of items that remain open | 2 |
| Number of items closed | 1 |
| Total number of items created | 3 |

| Title | URL | Time to first response | Time to close | Time to answer |
| --- | --- | --- | --- | --- |
| Discussion Title 1 | https://github.com/user/repo/discussions/1 | 0:00:41 | 6 days, 7:08:52 | 1 day |
| Pull Request Title 2 | https://github.com/user/repo/pulls/2 | 0:05:26 | None | None |
| Issue Title 3 | https://github.com/user/repo/issues/3 | 2:26:07 | None | None |

Here is the output with all hidable columns hidden:

# Issue Metrics

| Metric | Value |
| --- | ---: |
| Number of items that remain open | 2 |
| Number of items closed | 1 |
| Total number of items created | 3 |

| Title | URL |
| --- | --- |
| Discussion Title 1 | https://github.com/user/repo/discussions/1 |
| Pull Request Title 2 | https://github.com/user/repo/pulls/2 |
| Issue Title 3 | https://github.com/user/repo/issues/3 | 2:26:07 |

Example using the JSON output instead of the markdown output

There is JSON output available as well. You could use it for any number of possibilities, but here is one example that demonstrates retreiving the JSON output and then printing it out.

name: Monthly issue metrics
on:
  workflow_dispatch:
  schedule:
    - cron: '3 2 1 * *'

jobs:
  build:
    name: issue metrics
    runs-on: ubuntu-latest

    steps:
    - name: Run issue-metrics tool
      id: issue-metrics
      uses: github/issue-metrics@v2
      env:
        GH_TOKEN: ${{ secrets.GH_TOKEN }}
        SEARCH_QUERY: 'repo:owner/repo is:issue created:2023-05-01..2023-05-31 -reason:"not planned"'

    - name: Print output of issue metrics tool
      run: echo "${{ steps.issue-metrics.outputs.metrics }}"

Local usage without Docker

  1. Copy .env-example to .env
  2. Fill out the .env file with a token from a user that has access to the organization to scan (listed below). Tokens should have admin:org or read:org access.
  3. Fill out the .env file with the search_query to filter issues by
  4. pip install -r requirements.txt
  5. Run python3 ./issue_metrics.py, which will output issue metrics data

License

MIT