GitHub Action
dupliket
Dupliket is a GitHub action that helps repository maintainers to triage issues and discussions efficiently by finding duplicates and reference them directly in the newly created issue or discussion. It is powered by LLM provided by OpenAI to process issues and calculate their similarites.
You can integrate Dupliket in your GitHub workflow by creating a new workflow file, for example:
on:
issues:
types: [opened]
jobs:
dupliket:
runs-on: ubuntu-latest
steps:
- name: Find possible duplicates
uses: Namchee/dupliket@<version>
with:
access_token: ${{ secrets.GITHUB_TOKEN }}
api_key: ${{ secrets.API_KEY }}
Dupliket supports the following workflow events:
Event | Types | Description |
---|---|---|
issues |
created |
Fired whenever a new issue is created. |
discussion |
opened |
Fired whenever a new discussion is created. |
Please refer to the workflow events reference for more information about the supported events.
Since GitHub includes pull request on
issues
events, it is recommended to filter pull request events when listening toissues
events. You can filter pull request using job conditions in your workflow file. For example:on: issues: types: [opened] jobs: dupliket: runs-on: ubuntu-latest if: ${{ !github.event.issue.pull_request }} # Do not listen to pull request events steps: - name: Find possible duplicates uses: Namchee/dupliket@<version> with: access_token: ${{ secrets.GITHUB_TOKEN }} api_key: ${{ secrets.API_KEY }}
Dupliket accepts the following input that can be filled in jobs.with
section:
Name | Required? | Default Value | Description |
---|---|---|---|
access_token |
true |
This field is required | GitHub's access token. Used to interact with GitHub API for managing knowledge and creating comments. Note: Ensure that your token have permissions to read and write code and issues |
api_key |
true |
This field is required | OpenAI's API key. You can get it by signing up for an OpenAI account |
model |
false |
text-embedding-ada-002 |
Language model to be used when searching and calculating issue and discussion similarity. |
max_issues |
false |
3 |
Maximum number of possibly similar issues and discussions to be displayed |
min_similarity |
false |
0.9 |
Minimum similarity for an issue or discussion to be considered as similar. Must be a floating point between 0.0 and 1.0 |
show_similarity |
false |
false |
Include similarity percentage as footnote |
discussions |
false |
true |
Include discussions when searching for similar references |
label |
false |
Label to be applied when an issue or discussion has duplicates. Fill with an empty string to not apply any labels | |
template |
false |
Apply a custom message when an issue or discussion has duplicates. See section customizing message for more detailed information on how to use this field. |
By default, dupliket
will create a message containing references existing issues and discussions when an issue or discussion is created and has potential duplicates. While this is good enough for normal use-cases, you might want to change the message to suit your needs or want to change the formatting instead.
You can customize the message by providing a mustache template to template
option in the workflow file. Markdown formatting is supported.
Below are the list of replacable values that you can use in your custom message:
Name | Description |
---|---|
user |
Username that triggers the event |
count |
Number of similar issues and discussions |
references |
List of issue and discussion links |
For example, given the below template:
Hi {{ user }},
Thanks for reporting an issue! However, it seems like there are {{ count }} issue(s) that are similar to yours:
{{ references }}
the action may reply with the following comment
Hi @Namchee,
Thanks for reporting an issue! However, it seems like there are 3 issue(s) that are similar to yours:
- https://github.com/Namchee/dupliket/issues/49
- https://github.com/Namchee/dupliket/issues/48
This project is licensed under the MIT License