Review feedback & other tweaks
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name: Release actions
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on:
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release:
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types: released
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jobs:
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comment:
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runs-on: ubuntu-latest
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steps:
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- name: "Tag review replyers in closed issues with 'Needs: Review reply' label"
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uses: actions/github-script@v7
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with:
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script: |
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const issue_number = context.issue.number;
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const { data: issues } = await github.rest.issues.listForRepo({
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owner: context.repo.owner,
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repo: context.repo.repo,
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state: 'closed',
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labels: ['Needs: Review reply']
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});
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if (issues.length > 0) {
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for (const issue of issues) {
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await github.rest.issues.createComment({
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owner: context.repo.owner,
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repo: context.repo.repo,
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issue_number: issue.number,
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body: 'This feature or fix is now released! @AntennaPod/review-replyers, time to inform relevant reviews in Google Play console (please see links in one or more of the comments above).'
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});
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}
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} else {
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console.log('No closed issues with label "Needs: Review reply" found.');
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}
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@ -1,4 +1,11 @@
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#!/usr/bin/env python3
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# TODO:
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# Make it possible to run the script through workflow file, completely headless, with only base_ref and head_ref as input
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# Make it possible to run the part of the script that creates a list of PRs that need review replies in a workflow file (which posts a comment for each of the relevant PRs/issues when creating a release)
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# i.e. define two headless states: "get_changelog_CSV" and "get_PRs_that_need_review_replies"
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# However, the former should already be possibe by running the script with only base_ref and head_ref as input
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try:
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from graphqlclient import GraphQLClient
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import json
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@ -19,15 +26,11 @@ except ModuleNotFoundError as e:
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# Define variables
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owner = os.getenv('OWNER', "AntennaPod") # The owner (organisation or user) of the repository
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repo = os.getenv('REPO', "AntennaPod") # The repository name
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token = os.getenv('GITHUB_API_TOKEN') # The GitHub API token [evnironment variable, otherwise user input]
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base_ref = os.getenv('BASE') # The base reference (release code or branch); point of reference [user input]
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head_ref = os.getenv('HEAD') # The head reference (release code or branch); environment containing the changes [user input]
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max_associatedPRs = 5 # The maximum number of pull requests that the script will fetch per commit
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token = os.getenv('GITHUB_API_TOKEN') # The GitHub API token
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base_ref = os.getenv('BASE') # The base reference (release code or branch); point of reference
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head_ref = os.getenv('HEAD') # The head reference (release code or branch); environment containing the changes
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needs_review_reply_label = os.getenv('NEED_REVIEW_REPLY_LABEL', "Needs: Review reply") # The name or ID of the label that indicates that we should reply to a (Google Play) review when the issue or PR that has this label iss addressed or released
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client = GraphQLClient('https://api.github.com/graphql')
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filename = None
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def set_filename(base_ref, head_ref):
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global filename
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filename = f'{base_ref} - {head_ref} changelog.csv'
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# Function: Handle exceptions
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def handle_exception(error_message: str, data: dict, error_introduction="Error"):
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@ -265,9 +268,6 @@ try: # Catch KeyboardInterrupt
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animation_thread = threading.Thread(target=display_processing_animation, args=(animation_state,))
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animation_thread.start()
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# Set filename
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set_filename(base_ref, head_ref)
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# Get list of commits & associated PRs, comparing base & head
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animation_state['text'] = "Get list of commits & PRs"
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query = '''
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@ -301,6 +301,7 @@ try: # Catch KeyboardInterrupt
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has_next_page = True
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cursor = None
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commits = [] # Create commit list
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max_associatedPRs = 5 # The maximum number of pull requests that the script will fetch per commit
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while has_next_page:
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variables = {"cursor": cursor, "owner": owner, "repo": repo, "baseRef": base_ref, "headRef": head_ref, "maxPRs": max_associatedPRs}
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result = client.execute(query, variables)
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@ -419,14 +420,15 @@ try: # Catch KeyboardInterrupt
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unique_labels_string += " and more (probably)"
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# Create string with issue & PR number(s) that need review replies
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if needs_review_reply_label:
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numbers = []
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maximum_hit = False
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if any(label['id'] == 'LA_kwDOAFAGHc8AAAABoGK6aw' for label in prdata['labels']['nodes']):
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if any(label['id'] == 'needs_review_reply_label' or label['name'] == 'needs_review_reply_label' for label in prdata['labels']['nodes']): # TODO: move this to a variable
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numbers.append(pr_number)
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if prdata['closingIssuesReferences']['totalCount'] > 10 or prdata['labels']['totalCount'] > 10:
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maximum_hit = True
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for relatedIssue in prdata['closingIssuesReferences']['nodes']:
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if any(label['id'] == 'LA_kwDOAFAGHc8AAAABoGK6aw' for label in relatedIssue['labels']['nodes']):
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if any(label['id'] == 'needs_review_reply_label' for label in relatedIssue['labels']['nodes']):
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numbers.append(relatedIssue['number'])
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if relatedIssue['labels']['totalCount'] > 10:
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maximum_hit = True
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'author': prdata['author']['login'],
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'relatedIssues': related_issues_string,
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'labels': unique_labels_string,
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})
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if needs_review_reply_label:
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prs_for_csv.append({
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'needsReviewReplies': needs_review_reply_string,
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})
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# Create a list of dictionaries with commits for in CSV file
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# /// NOTE maybe it's better to move this up to before the PR list generation (but after the list of unique PRs has been created) as it clears some of the memory used
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# Create a list of dictionaries with commits for in the CSV file
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animation_state['text'] = "Clean up commit list"
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## Filter list with commit dictionaries so only ones without any associated PRs are left
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commits = [commit for commit in commits if commit['pr_count'] == 0]
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## Expand list with commit dictionaries to contain commit metadata
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animation_state['text'] = "Get commit metadata"
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### Loop through commits to construct GraphQL query
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### Loop through commits to construct GraphQL query
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query = f'''
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query ($owner: String!, $repo: String!) {{
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repository (name: $repo, owner: $owner) {{
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result = client.execute(query, variables)
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data = json.loads(result)
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## Parse response and expand commit data
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## Parse response and add commit metadata to the list of commit dictionaries
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animation_state['text'] = "Parse commit metadata"
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for n, commit in enumerate(commits):
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commit_data = data['data']['repository'][f'commit{n}']
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('empty2', 'Functionality group'),
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('relatedIssues', 'Related issue(s)'),
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('labels', 'Related label(s)'),
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('needsReviewReplies', 'Needs review replies?'),
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]
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if needs_review_reply_label:
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fields.append(('needsReviewReplies', 'Needs review replies?'))
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# Create an OrderedDict from the fields
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fieldnames = OrderedDict(fields)
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header = dict(zip(fieldnames.keys(), fieldnames.values()))
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# Set filename
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filename = f'{base_ref} - {head_ref} changelog.csv'
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with open(f'{filename}', 'w', newline='') as outputFile:
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# Use the OrderedDict as the fieldnames argument
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writer = csv.DictWriter(outputFile, fieldnames=fieldnames)
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