name: Identify potential duplicates among new bug/crash reports

on:
  issues:
    types: [opened]
  workflow_dispatch:
    inputs:
      issue_number:
        description: "Issue number to analyze (for testing)"
        required: true
        type: number

concurrency:
  group: potential-duplicate-check-${{ github.event.issue.number || inputs.issue_number }}
  # let's not overspend tokens on multiple parallel checks of the same issue
  cancel-in-progress: true

jobs:
  identify-duplicates:
    if: github.repository == 'zed-industries/zed'
    runs-on: ubuntu-latest

    permissions:
      contents: read
      issues: read
      id-token: write

    steps:
      - name: Get github app token
        id: get-app-token
        uses: actions/create-github-app-token@bef1eaf1c0ac2b148ee2a0a74c65fbe6db0631f1 # v2.1.4
        with:
          app-id: ${{ secrets.ZED_COMMUNITY_BOT_APP_ID }}
          private-key: ${{ secrets.ZED_COMMUNITY_BOT_PRIVATE_KEY }}
          owner: zed-industries

      - name: Check issue type
        id: check-type
        uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7.0.1
        with:
          github-token: ${{ steps.get-app-token.outputs.token }}
          script: |
            const issueNumber = context.payload.issue?.number || ${{ inputs.issue_number || 0 }};
            if (!issueNumber) {
              core.setFailed('No issue number provided');
              return;
            }

            const { data: issue } = await github.rest.issues.get({
              owner: context.repo.owner,
              repo: context.repo.repo,
              issue_number: issueNumber
            });

            const typeName = issue.type?.name;
            const isTargetType = typeName === 'Bug' || typeName === 'Crash';

            console.log(`Issue #${issueNumber}: "${issue.title}"`);
            console.log(`Issue type: ${typeName || '(none)'}`);
            console.log(`Is target type (Bug/Crash): ${isTargetType}`);

            core.setOutput('issue_number', issueNumber);
            core.setOutput('issue_author', issue.user?.login || '');
            core.setOutput('is_target_type', isTargetType);

            if (!isTargetType) {
              console.log('::notice::Skipping - issue type is not Bug or Crash');
            }

      - name: Check if author is staff
        if: steps.check-type.outputs.is_target_type == 'true'
        id: check-staff
        uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7.0.1
        with:
          github-token: ${{ steps.get-app-token.outputs.token }}
          script: |
            const author = process.env.ISSUE_AUTHOR || '';
            if (!author) {
              console.log('Could not determine issue author, proceeding with check');
              core.setOutput('is_staff', 'false');
              return;
            }

            try {
              const response = await github.rest.teams.getMembershipForUserInOrg({
                org: 'zed-industries',
                team_slug: 'staff',
                username: author
              });
              const isStaff = response.data.state === 'active';
              core.setOutput('is_staff', String(isStaff));
              if (isStaff) {
                console.log(`::notice::Skipping - author @${author} is a staff member`);
              }
            } catch (error) {
              if (error.status === 404) {
                core.setOutput('is_staff', 'false');
              } else {
                throw error;
              }
            }
        env:
          ISSUE_AUTHOR: ${{ steps.check-type.outputs.issue_author }}

      - name: Checkout repository
        if: |
          steps.check-type.outputs.is_target_type == 'true' &&
          steps.check-staff.outputs.is_staff == 'false'
        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
        with:
          fetch-depth: 1

      - name: Analyze for potential duplicates (DRY RUN)
        if: |
          steps.check-type.outputs.is_target_type == 'true' &&
          steps.check-staff.outputs.is_staff == 'false'
        id: analyze
        # let's not overspend tokens on checks that went too deep into the rabbit hole
        timeout-minutes: 5
        uses: anthropics/claude-code-action@231bd75b7196d48291c1498f1c6d277c2810d9a3 # v1
        with:
          anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY_ISSUE_DEDUP }}
          github_token: ${{ steps.get-app-token.outputs.token }}
          # this is automatic analysis, not user-invoked, and Claude only has read-only tools, so should be safe
          allowed_non_write_users: "*"

          prompt: |
            You are analyzing issue #${{ steps.check-type.outputs.issue_number }} in the zed-industries/zed repository to determine if it might be a duplicate of an existing issue.

            THIS IS A DRY RUN - do not post any comments or modify anything. Only analyze and return your findings.

            ## Instructions

            1. Use mcp__github__get_issue to fetch the full details of issue #${{ steps.check-type.outputs.issue_number }}

            2. Extract key identifying information:
               - Error messages (exact text)
               - Stack traces or panic messages
               - Affected features/components
               - Steps to reproduce
               - Platform/OS information

            3. Search for potential duplicates using mcp__github__search_issues with:
               - Key error messages or panic text (most reliable signal)
               - Specific feature names or components mentioned
               - Limit search to repo:zed-industries/zed and recent issues (last 90 days)
               - Search both open AND closed issues (duplicates may have been closed)

            4. For each potential match, evaluate similarity:
               - SAME error message or stack trace = high confidence
               - SAME steps to reproduce with same outcome = high confidence
               - Similar description but different error/context = low confidence
               - Vaguely related topic = NOT a duplicate

            ## Critical Guidelines

            - Be VERY conservative. When in doubt, conclude it is NOT a duplicate.
            - Only flag as potential duplicate if you have HIGH confidence (same error, same repro steps, same root cause).
            - "Similar topic" or "related feature" is NOT sufficient - the issues must describe the SAME bug.
            - False positives are worse than false negatives. Users finding their legitimate issue incorrectly flagged as duplicate is a poor experience.

            ## Output

            Return your analysis as JSON with this exact structure. Do not include any other text outside the JSON.

          claude_args: |
            --max-turns 3
            --allowedTools mcp__github__get_issue,mcp__github__search_issues,mcp__github__list_issues
            --json-schema {"type":"object","properties":{"issue_number":{"type":"integer"},"issue_title":{"type":"string"},"is_potential_duplicate":{"type":"boolean"},"confidence":{"type":"string","enum":["high","medium","low","none"]},"potential_duplicates":{"type":"array","items":{"type":"object","properties":{"number":{"type":"integer"},"title":{"type":"string"},"similarity_reason":{"type":"string"}},"required":["number","title","similarity_reason"]}},"analysis_summary":{"type":"string"},"recommendation":{"type":"string","enum":["flag_as_duplicate","needs_human_review","not_a_duplicate"]}},"required":["issue_number","is_potential_duplicate","confidence","potential_duplicates","analysis_summary","recommendation"]}

      - name: Log analysis results
        if: |
          steps.check-type.outputs.is_target_type == 'true' &&
          steps.check-staff.outputs.is_staff == 'false' &&
          !cancelled()
        uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7.0.1
        with:
          script: |
            const output = process.env.ANALYSIS_OUTPUT || '';

            console.log('='.repeat(60));
            console.log('DRY RUN ANALYSIS RESULTS');
            console.log('='.repeat(60));

            if (!output || output === '') {
              console.log('No structured output received from analysis');
              core.summary.addHeading('⚠️ Analysis did not produce output', 2);
              core.summary.addRaw('The duplicate detection analysis did not return structured output. Check the workflow logs for details.');
              await core.summary.write();
              return;
            }

            try {
              const analysis = JSON.parse(output);

              console.log(`\nIssue: #${analysis.issue_number} - ${analysis.issue_title || 'N/A'}`);
              console.log(`Is Potential Duplicate: ${analysis.is_potential_duplicate}`);
              console.log(`Confidence: ${analysis.confidence}`);
              console.log(`Recommendation: ${analysis.recommendation}`);
              console.log(`\nAnalysis Summary:\n${analysis.analysis_summary}`);

              if (analysis.potential_duplicates.length > 0) {
                console.log(`\nPotential Duplicates Found: ${analysis.potential_duplicates.length}`);
                for (const dup of analysis.potential_duplicates) {
                  console.log(`  - #${dup.number}: ${dup.title}`);
                  console.log(`    Reason: ${dup.similarity_reason}`);
                }
              } else {
                console.log('\nNo potential duplicates identified.');
              }

              console.log('\n' + '='.repeat(60));

              // set summary for workflow run
              const summaryIcon = analysis.is_potential_duplicate ? '⚠️' : '✅';
              const summaryText = analysis.is_potential_duplicate
                ? `Potential duplicate detected (${analysis.confidence} confidence)`
                : 'No likely duplicates found';

              core.summary.addHeading(`${summaryIcon} Issue #${analysis.issue_number}: ${summaryText}`, 2);
              core.summary.addRaw(`\n**Recommendation:** ${analysis.recommendation}\n\n`);
              core.summary.addRaw(`**Summary:** ${analysis.analysis_summary}\n\n`);

              if (analysis.potential_duplicates.length > 0) {
                core.summary.addHeading('Potential Duplicates', 3);
                const rows = analysis.potential_duplicates.map(d => [
                  `#${d.number}`,
                  d.title,
                  d.similarity_reason
                ]);
                core.summary.addTable([
                  [{data: 'Issue', header: true}, {data: 'Title', header: true}, {data: 'Similarity Reason', header: true}],
                  ...rows
                ]);
              }

              await core.summary.write();

            } catch (e) {
              console.log('Failed to parse analysis output:', e.message);
              console.log('Raw output:', output);
              core.summary.addHeading('⚠️ Failed to parse analysis output', 2);
              core.summary.addRaw(`Error: ${e.message}\n\nRaw output:\n\`\`\`\n${output}\n\`\`\``);
              await core.summary.write();
            }
        env:
          ANALYSIS_OUTPUT: ${{ steps.analyze.outputs.structured_output }}