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Make duplicate issue detection more strict (#146633)

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Franck Nijhof 2025-06-12 13:55:26 +02:00 committed by GitHub
parent 9dfbccf0cb
commit e19f178864
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1 changed files with 25 additions and 14 deletions
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39
.github/workflows/detect-duplicate-issues.yml vendored
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@ -133,12 +133,18 @@ jobs:
// Build search query for issues with any of the current integration labels
const labelQueries = integrationLabels.map(label => `label:"${label}"`);
// Calculate date 6 months ago
const sixMonthsAgo = new Date();
sixMonthsAgo.setMonth(sixMonthsAgo.getMonth() - 6);
const dateFilter = `created:>=${sixMonthsAgo.toISOString().split('T')[0]}`;
let searchQuery;
if (labelQueries.length === 1) {
searchQuery = `repo:${context.repo.owner}/${context.repo.repo} is:issue ${labelQueries[0]}`;
searchQuery = `repo:${context.repo.owner}/${context.repo.repo} is:issue ${labelQueries[0]} ${dateFilter}`;
} else {
searchQuery = `repo:${context.repo.owner}/${context.repo.repo} is:issue (${labelQueries.join(' OR ')})`;
searchQuery = `repo:${context.repo.owner}/${context.repo.repo} is:issue (${labelQueries.join(' OR ')}) ${dateFilter}`;
}
console.log(`Search query: ${searchQuery}`);
@ -227,29 +233,34 @@ jobs:
if: steps.extract.outputs.should_continue == 'true' && steps.fetch_similar.outputs.has_similar == 'true'
uses: actions/ai-inference@v1.1.0
with:
model: openai/gpt-4o-mini
model: openai/gpt-4o
system-prompt: |
You are a Home Assistant issue duplicate detector. Your task is to identify potential duplicate issues based on their content.
You are a Home Assistant issue duplicate detector. Your task is to identify TRUE DUPLICATES - issues that report the EXACT SAME problem, not just similar or related issues.
CRITICAL: An issue is ONLY a duplicate if:
- It describes the SAME problem with the SAME root cause
- Issues about the same integration but different problems are NOT duplicates
- Issues with similar symptoms but different causes are NOT duplicates
Important considerations:
- Open issues are more relevant than closed ones for duplicate detection
- Recently updated issues may indicate ongoing work or discussion
- Issues with more comments are generally more relevant and active
- Higher comment count often indicates community engagement and importance
- Older closed issues might be resolved differently than newer approaches
- Consider the time between issues - very old issues may have different contexts
Rules:
1. Compare the current issue with the provided similar issues
1. ONLY mark as duplicate if the issues describe IDENTICAL problems
2. Look for issues that report the same problem or request the same functionality
3. Consider different wording but same underlying issue as duplicates
3. Different error messages = NOT a duplicate (even if same integration)
4. For CLOSED issues, only mark as duplicate if they describe the EXACT same problem
5. For OPEN issues, use a lower threshold (70%+ similarity)
5. For OPEN issues, use a lower threshold (90%+ similarity)
6. Prioritize issues with higher comment counts as they indicate more activity/relevance
7. Return ONLY a JSON array of issue numbers that are potential duplicates
8. If no duplicates are found, return an empty array: []
9. Maximum 5 potential duplicates, prioritize open issues with comments
10. Consider the age of issues - prefer recent duplicates over very old ones
7. When in doubt, do NOT mark as duplicate
8. Return ONLY a JSON array of issue numbers that are duplicates
9. If no duplicates are found, return an empty array: []
10. Maximum 5 potential duplicates, prioritize open issues with comments
11. Consider the age of issues - prefer recent duplicates over very old ones
Example response format:
[1234, 5678, 9012]
@ -259,10 +270,10 @@ jobs:
Title: ${{ steps.extract.outputs.current_title }}
Body: ${{ steps.extract.outputs.current_body }}
Similar issues to compare against (each includes state, creation date, last update, and comment count):
Other issues to compare against (each includes state, creation date, last update, and comment count):
${{ steps.fetch_similar.outputs.similar_issues }}
Analyze these issues and identify which ones are potential duplicates of the current issue. Consider their state (open/closed), how recently they were updated, and their comment count (higher = more relevant).
Analyze these issues and identify which ones describe IDENTICAL problems and thus are duplicates of the current issue. When sorting them, consider their state (open/closed), how recently they were updated, and their comment count (higher = more relevant).
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