API-based version of duplicates bot (#48041)
This is still only a debugging/evaluation version (which is why it has e.g. hardcoded stuff). It successfully ran a few times triggered manually, so we're replacing the broken version on `main` with this to see how it fares on incoming issues. Release Notes: - N/A
This commit is contained in:
1 parent
f8758a3abc
commit
fbb5100995
1 file changed
+550
-105
@@ -12,18 +12,18 @@ on:
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concurrency:
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group: potential-duplicate-check-${{ github.event.issue.number || inputs.issue_number }}
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# let's not overspend tokens on multiple parallel checks of the same issue
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cancel-in-progress: true
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jobs:
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identify-duplicates:
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if: github.repository == 'zed-industries/zed'
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# For manual testing, allow running on any branch; for automatic runs, only on main repo
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if: github.event_name == 'workflow_dispatch' || github.repository == 'zed-industries/zed'
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runs-on: ubuntu-latest
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timeout-minutes: 5
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permissions:
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contents: read
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issues: read
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id-token: write
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steps:
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- name: Get github app token
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@@ -34,8 +34,8 @@ jobs:
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private-key: ${{ secrets.ZED_COMMUNITY_BOT_PRIVATE_KEY }}
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owner: zed-industries
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- name: Check issue type
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id: check-type
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- name: Fetch issue and check eligibility
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id: fetch-issue
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uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7.0.1
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with:
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github-token: ${{ steps.get-app-token.outputs.token }}
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@@ -59,173 +59,616 @@ jobs:
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console.log(`Issue type: ${typeName || '(none)'}`);
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console.log(`Is target type (Bug/Crash): ${isTargetType}`);
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// Set default outputs for all paths
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core.setOutput('issue_number', issueNumber);
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core.setOutput('issue_author', issue.user?.login || '');
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core.setOutput('is_target_type', isTargetType);
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core.setOutput('issue_title', issue.title);
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core.setOutput('issue_body', (issue.body || '').slice(0, 6000));
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core.setOutput('is_target_type', String(isTargetType));
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core.setOutput('is_staff', 'false');
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core.setOutput('should_continue', 'false');
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if (!isTargetType) {
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console.log('::notice::Skipping - issue type is not Bug or Crash');
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return;
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}
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- name: Check if author is staff
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if: steps.check-type.outputs.is_target_type == 'true'
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id: check-staff
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// Check if author is staff (skip if so - they know what they're doing)
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const author = issue.user?.login || '';
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let isStaff = false;
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if (author) {
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try {
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const response = await github.rest.teams.getMembershipForUserInOrg({
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org: 'zed-industries',
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team_slug: 'staff',
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username: author
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});
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isStaff = response.data.state === 'active';
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} catch (error) {
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if (error.status !== 404) throw error;
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}
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}
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core.setOutput('is_staff', String(isStaff));
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if (isStaff) {
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console.log(`::notice::Skipping - author @${author} is a staff member`);
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return;
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}
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core.setOutput('should_continue', 'true');
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# ========================================================================
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# PASS 1: Detect areas using Claude with the full area taxonomy
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# ========================================================================
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- name: "Pass 1: Detect areas with Claude"
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if: steps.fetch-issue.outputs.should_continue == 'true'
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id: detect-areas
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env:
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ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY_ISSUE_DEDUP }}
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ISSUE_TITLE: ${{ steps.fetch-issue.outputs.issue_title }}
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ISSUE_BODY: ${{ steps.fetch-issue.outputs.issue_body }}
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run: |
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# shellcheck disable=SC2016
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cat > /tmp/area_prompt.txt << 'PROMPT_EOF'
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You are classifying a GitHub issue for the Zed code editor into area categories.
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## Issue Title
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ISSUE_TITLE_PLACEHOLDER
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## Issue Body
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ISSUE_BODY_PLACEHOLDER
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## Available Area Labels
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(descriptions provided only where the label name isn't self-explanatory)
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accessibility
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ai, ai/acp (Agent Communication Protocol), ai/agent thread, ai/anthropic, ai/assistant, ai/bedrock, ai/codex, ai/copilot, ai/deepseek, ai/edit prediction, ai/gemini, ai/inline assistant, ai/lmstudio, ai/mcp (Model Context Protocol), ai/mistral, ai/ollama, ai/openai, ai/openai compatible, ai/openrouter, ai/qwen, ai/supermaven, ai/text thread, ai/zeta
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auth
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autocompletions
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billing
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cli
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code actions
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code folding
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collab - real-time collaboration with other Zed users (screen sharing, shared editing). NOT for remote development over SSH.
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collab/audio, collab/chat
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command palette
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controls/ime, controls/keybinds, controls/mouse
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debugger, debugger/dap/CodeLLDB, debugger/dap/debugpy, debugger/dap/gdb, debugger/dap/javascript
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design papercut - small UI/UX polish issues
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dev containers - Docker-based development environments
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diagnostics - LSP errors/warnings display
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discoverability
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editor, editor/brackets, editor/linked edits
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extensions/infrastructure
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file finder - fuzzy file search (Cmd/Ctrl+P)
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gpui - Zed's internal UI rendering framework
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inlay hints - inline hints from LSP (type annotations, parameter names)
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installer-updater
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integrations/environment - shell environment, PATH, env vars
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integrations/git, integrations/git/blame, integrations/terminal
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internationalization, internationalization/rtl support
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keymap editor
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language server, language server/server failure
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languages/* - language-specific syntax, grammar, or LSP issues (e.g., languages/python, languages/rust, languages/typescript)
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legal
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logging
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multi-buffer - viewing multiple files or search results in a single editor pane
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multi-cursor
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navigation - go to definition, find references, symbol search
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network - proxy settings, connectivity, SSL certificates. NOT for collab.
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onboarding
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outline - document symbols/structure sidebar
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parity/* - feature parity requests comparing to other editors (parity/vscode, parity/vim, parity/emacs, parity/jetbrains, parity/helix)
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performance, performance/memory leak
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permissions
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popovers - hover cards, tooltips, autocomplete dropdowns
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preview/images, preview/markdown
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project panel - file tree sidebar
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release notes
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repl
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search - project-wide search, find/replace
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security & privacy, security & privacy/workspace trust
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serialization - saving/restoring workspace state, undo history, folding state across restarts
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settings, settings/ui
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snippets
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status bar
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tasks - task runner integration
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telemetry
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tooling/* - external tool integrations (tooling/emmet, tooling/eslint, tooling/prettier, tooling/flatpak, tooling/nix)
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tree-sitter - syntax parsing and highlighting engine
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ui/animations, ui/dock, ui/file icons, ui/font, ui/menus, ui/minimap, ui/panel, ui/scaling, ui/scrolling, ui/tabs, ui/themes
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workspace - window management, pane layout, project handling
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zed account
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zed.dev
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## Your Task
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Based on the issue title and body, identify which areas this issue relates to.
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- Select 1-5 areas that best match the issue
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- Prefer more specific sub-areas when applicable (e.g., "ai/gemini" over just "ai")
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- Only select areas that are clearly relevant
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## Response Format
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Return ONLY a JSON object (no markdown fences, no explanation):
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{
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"areas": ["area1", "area2"],
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"reasoning": "Brief explanation of why these areas were selected"
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}
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PROMPT_EOF
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# Single quotes are intentional to prevent bash expansion; node reads env vars via process.env
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# shellcheck disable=SC2016
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node << 'SCRIPT_EOF'
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const fs = require('fs');
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let prompt = fs.readFileSync('/tmp/area_prompt.txt', 'utf8');
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prompt = prompt.replace('ISSUE_TITLE_PLACEHOLDER', process.env.ISSUE_TITLE || '');
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prompt = prompt.replace('ISSUE_BODY_PLACEHOLDER', process.env.ISSUE_BODY || '');
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fs.writeFileSync('/tmp/area_prompt_final.txt', prompt);
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SCRIPT_EOF
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HTTP_CODE=$(curl -s -w "%{http_code}" -o /tmp/area_response.json -X POST "https://api.anthropic.com/v1/messages" \
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-H "Content-Type: application/json" \
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-H "x-api-key: $ANTHROPIC_API_KEY" \
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-H "anthropic-version: 2023-06-01" \
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--data-binary @- << EOF
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{
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"model": "claude-sonnet-4-5-20250929",
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"max_tokens": 256,
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"messages": [{"role": "user", "content": $(jq -Rs . < /tmp/area_prompt_final.txt)}]
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}
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EOF
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)
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RESPONSE=$(< /tmp/area_response.json)
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if [ "$HTTP_CODE" -lt 200 ] || [ "$HTTP_CODE" -ge 300 ]; then
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echo "HTTP Error: $HTTP_CODE"
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echo "$RESPONSE" | jq . 2>/dev/null || echo "$RESPONSE"
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exit 1
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fi
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if echo "$RESPONSE" | jq -e '.error' > /dev/null 2>&1; then
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echo "API Error:"
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echo "$RESPONSE" | jq .
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exit 1
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fi
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AREA_RESULT=$(echo "$RESPONSE" | jq -r '.content[0].text // empty')
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if [ -z "$AREA_RESULT" ]; then
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echo "Error: No response from Claude for area detection"
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echo "$RESPONSE" | jq .
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exit 1
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fi
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echo "Area detection result: $AREA_RESULT"
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# Extract just the areas array, handling potential markdown fences
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# shellcheck disable=SC2016
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CLEAN_JSON=$(echo "$AREA_RESULT" | sed 's/^```json//; s/^```//; s/```$//' | tr -d '\n')
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AREAS=$(echo "$CLEAN_JSON" | jq -r '.areas // [] | join(",")')
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echo "Detected areas: $AREAS"
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echo "detected_areas=$AREAS" >> "$GITHUB_OUTPUT"
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INPUT_TOKENS=$(echo "$RESPONSE" | jq -r '.usage.input_tokens')
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OUTPUT_TOKENS=$(echo "$RESPONSE" | jq -r '.usage.output_tokens')
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echo "Pass 1 token usage - Input: $INPUT_TOKENS, Output: $OUTPUT_TOKENS"
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# ========================================================================
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# Use detected areas to filter magnets and search for candidates
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# ========================================================================
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- name: Filter magnets and search for candidates
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if: steps.fetch-issue.outputs.should_continue == 'true'
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id: gather-candidates
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uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7.0.1
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with:
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github-token: ${{ steps.get-app-token.outputs.token }}
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script: |
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const author = process.env.ISSUE_AUTHOR || '';
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if (!author) {
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console.log('Could not determine issue author, proceeding with check');
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core.setOutput('is_staff', 'false');
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return;
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// ============================================================
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// KNOWN DUPLICATE MAGNETS (from #46355)
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// ============================================================
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const DUPLICATE_MAGNETS = [
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{ number: 37074, title: "Support history with external ACP agents", areas: ["ai", "ai/gemini", "ai/acp"] },
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{ number: 35780, title: "Zed consumes a lot of memory and CPU when opening ~/ or other large file trees", areas: ["workspace", "performance", "performance/memory leak", "integrations/git"] },
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{ number: 16965, title: "Support for non UTF-8 text encodings", areas: ["editor", "internationalization"] },
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{ number: 38109, title: "Zed out of sync with changes made outside of editor", areas: ["workspace"] },
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{ number: 16727, title: "Select text in markdown preview", areas: ["preview/markdown", "languages/markdown"] },
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{ number: 31102, title: "RTL Right-to-Left Text Input/Rendering Support", areas: ["internationalization"] },
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{ number: 7371, title: "Restarts should be non-destructive on workspace restore/reload", areas: ["workspace", "serialization"] },
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{ number: 7992, title: "Font rendering on LoDPI displays", areas: ["ui/font"] },
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{ number: 40018, title: "Windows Beta: Terminal overwrites text when resized and window overflow", areas: ["integrations/terminal"] },
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{ number: 29962, title: "Agent Panel: Cannot access zed hosted models (via Cloudflare HKG)", areas: ["ai", "network"] },
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{ number: 15097, title: "Serialize undo history (local and remote projects)", areas: ["workspace", "serialization"] },
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{ number: 29846, title: "Collapsed code blocks are not restored properly", areas: ["editor", "serialization", "code folding"] },
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{ number: 38799, title: "Poor search performance in large repositories", areas: ["performance", "search"] },
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{ number: 27283, title: "Inefficient memory use when opening large file in Zed", areas: ["performance"] },
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{ number: 39806, title: "Raspberry Pi OS (Trixie) Zed 0.207.3 Video Memory Corruption on Start", areas: ["gpui"] },
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{ number: 29970, title: "Unable to download any extensions (due to potential DigitalOcean IP block or ISP block)", areas: ["network"] },
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{ number: 29026, title: "Ability to copy/paste files from the system file manager", areas: ["workspace"] },
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{ number: 7940, title: "Zed is sometimes unresponsive when the OS awakes from sleep", areas: ["workspace"] },
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{ number: 37025, title: "Failed to generate thread summary", areas: ["ai"] },
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{ number: 16156, title: "Support for project settings to enable/disable/control AI features", areas: ["ai", "settings"] },
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{ number: 24752, title: "Extra horizontal scrolling when inline blame is enabled with soft wrapping", areas: ["editor"] },
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{ number: 20970, title: "Excessive memory consumption on project search with large files present", areas: ["performance/memory leak", "search", "multi-buffer"] },
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{ number: 12176, title: "Only some ligatures are being applied", areas: ["ui/font", "settings"] },
|
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{ number: 13564, title: "blade: Text is rendered either too thick or too thin", areas: ["ui/font"] },
|
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{ number: 38901, title: "Terminal freezes in Linux session when Ctrl+C is pressed before exit", areas: ["controls/keybinds", "integrations/terminal"] },
|
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{ number: 20167, title: "Support unsetting default keybindings", areas: ["controls/keybinds"] },
|
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{ number: 25469, title: "Tracking - Linux non-QWERTY keyboard support", areas: ["controls/keybinds"] },
|
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{ number: 29598, title: "Manual refresh on unsupported filesystems (nfs, fuse, exfat) without inotify/fsevents", areas: ["project panel"] },
|
||||
{ number: 14428, title: "Ordering of search tokens in file finder fuzzy match", areas: ["file finder"] },
|
||||
{ number: 20771, title: "Workspace: Reload to respect the desktop/workspace Zed windows were in after reload", areas: ["workspace", "serialization"] },
|
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{ number: 7465, title: "Lines with RTL text aren't rendered correctly", areas: ["editor", "internationalization/rtl support", "parity/vscode"] },
|
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{ number: 16120, title: "Large files without newlines (all on one line) cause Zed to hang/crash", areas: ["editor"] },
|
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{ number: 22703, title: "Syntax aware folding (folds.scm support)", areas: ["editor", "tree-sitter"] },
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{ number: 38927, title: "Find & Replace memory leak on large files", areas: ["performance", "performance/memory leak"] },
|
||||
{ number: 4560, title: "Improve streaming search speed", areas: ["performance", "search"] },
|
||||
{ number: 14053, title: "Linux Shortcuts don't work with non-latin / international keyboard layouts", areas: ["internationalization", "controls/keybinds"] },
|
||||
{ number: 31637, title: "High memory consumption in Project Search with large codebases", areas: ["performance/memory leak", "search"] },
|
||||
{ number: 11744, title: "Incorrect spacing of terminal font", areas: ["ui/font", "integrations/terminal"] },
|
||||
{ number: 4746, title: "Terminal Nerd Font rendering incorrect line height", areas: ["ui/font", "integrations/terminal"] },
|
||||
{ number: 10647, title: "User configurable mouse bindings (like keymap for key+mouse)", areas: ["controls/keybinds", "controls/mouse", "accessibility"] },
|
||||
{ number: 34865, title: "ctrl-w with pane::CloseActiveItem binding closes the project panel instead of the active pane", areas: ["controls/keybinds", "ui/panel"] },
|
||||
{ number: 12163, title: "Cannot see list of installed extensions when offline / disconnected", areas: ["network"] },
|
||||
{ number: 44630, title: "Tables do not render all columns in markdown preview", areas: ["preview/markdown"] },
|
||||
{ number: 39435, title: "Windows: Low fps in many cases", areas: ["gpui"] },
|
||||
{ number: 36227, title: "Zed becomes unresponsive when closing", areas: ["workspace"] },
|
||||
{ number: 44962, title: "Can not open file in zed if filename includes (1)", areas: ["workspace"] },
|
||||
{ number: 32318, title: "Zed hangs after exiting sleep mode in Linux", areas: ["workspace"] },
|
||||
{ number: 5120, title: "Add options to hide title and status bar", areas: ["settings", "status bar"] },
|
||||
{ number: 29323, title: "uv: Failed to detect Python venv correctly", areas: ["language server", "languages/python", "integrations/environment"] },
|
||||
{ number: 7450, title: "Support LSP Semantic Tokens", areas: ["language server", "languages", "ui/themes"] },
|
||||
{ number: 31846, title: "LSP: triggerCharacters for signature help declared by servers do not seem to be respected", areas: ["language server"] },
|
||||
{ number: 32792, title: "[SWAY] Zed window flashes rapidly on Sway/wlroots", areas: ["gpui"] },
|
||||
{ number: 28398, title: "Stale buffers should be removed from search multibuffer", areas: ["search", "multi-buffer"] },
|
||||
{ number: 35011, title: "Delete Key against remote Hosts Doesn't Delete Folders", areas: ["project panel"] },
|
||||
{ number: 8626, title: "Palette File Navigation - Preview File Content", areas: ["file finder"] },
|
||||
{ number: 31468, title: "Certain LSP features are not activated till you trigger them manually when working with a remote project", areas: ["language server/server failure", "autocompletions"] },
|
||||
{ number: 9789, title: "Zed checks for LSP updates when offline and disables LSPs irreversibly in the process", areas: ["language server/server failure"] },
|
||||
{ number: 21403, title: "Completions and code actions should not use uniform lists", areas: ["autocompletions", "popovers", "diagnostics"] },
|
||||
{ number: 15196, title: "Remote Project REPL support", areas: ["repl"] },
|
||||
];
|
||||
|
||||
const MAX_SEARCHES = 5;
|
||||
|
||||
const issueNumber = parseInt('${{ steps.fetch-issue.outputs.issue_number }}', 10);
|
||||
const title = process.env.ISSUE_TITLE || '';
|
||||
const body = process.env.ISSUE_BODY || '';
|
||||
const detectedAreasStr = '${{ steps.detect-areas.outputs.detected_areas }}';
|
||||
const detectedAreas = new Set(detectedAreasStr.split(',').filter(a => a.trim()));
|
||||
|
||||
console.log(`Detected areas from Claude: ${[...detectedAreas].join(', ') || '(none)'}`);
|
||||
|
||||
// Helper: check if two areas match (handles hierarchy like "ai" matching "ai/gemini")
|
||||
function areasMatch(detected, magnetArea) {
|
||||
if (detected === magnetArea) return true;
|
||||
if (magnetArea.startsWith(detected + '/')) return true;
|
||||
if (detected.startsWith(magnetArea + '/')) return true;
|
||||
return false;
|
||||
}
|
||||
|
||||
try {
|
||||
const response = await github.rest.teams.getMembershipForUserInOrg({
|
||||
org: 'zed-industries',
|
||||
team_slug: 'staff',
|
||||
username: author
|
||||
// Filter magnets based on detected areas
|
||||
const relevantMagnets = DUPLICATE_MAGNETS.filter(magnet => {
|
||||
if (detectedAreas.size === 0) return true;
|
||||
return magnet.areas.some(magnetArea =>
|
||||
[...detectedAreas].some(detected => areasMatch(detected, magnetArea))
|
||||
);
|
||||
}).slice(0, 20);
|
||||
|
||||
console.log(`Relevant duplicate magnets: ${relevantMagnets.length}`);
|
||||
|
||||
// Build search queries
|
||||
const searchQueries = [];
|
||||
const thirtyDaysAgo = new Date(Date.now() - 30 * 24 * 60 * 60 * 1000).toISOString().split('T')[0];
|
||||
|
||||
// 1. Keyword search from title
|
||||
const stopwords = ['with', 'that', 'this', 'from', 'have', 'been', 'were', 'what', 'when',
|
||||
'where', 'which', 'while', 'does', 'doesn', 'should', 'would', 'could',
|
||||
'about', 'after', 'before', 'between', 'into', 'through', 'during',
|
||||
'above', 'below', 'under', 'again', 'further', 'then', 'once', 'here',
|
||||
'there', 'some', 'such', 'only', 'same', 'than', 'very', 'just', 'also',
|
||||
'work', 'working', 'works', 'issue', 'problem', 'error', 'bug', 'zed'];
|
||||
const titleKeywords = title
|
||||
.toLowerCase()
|
||||
.replace(/[^\w\s]/g, ' ')
|
||||
.split(/\s+/)
|
||||
.filter(w => w.length >= 3 && !stopwords.includes(w))
|
||||
.slice(0, 5);
|
||||
|
||||
if (titleKeywords.length >= 2) {
|
||||
searchQueries.push({
|
||||
type: 'keyword',
|
||||
query: `repo:zed-industries/zed is:issue created:>${thirtyDaysAgo} ${titleKeywords.join(' ')}`
|
||||
});
|
||||
const isStaff = response.data.state === 'active';
|
||||
core.setOutput('is_staff', String(isStaff));
|
||||
if (isStaff) {
|
||||
console.log(`::notice::Skipping - author @${author} is a staff member`);
|
||||
}
|
||||
} catch (error) {
|
||||
if (error.status === 404) {
|
||||
core.setOutput('is_staff', 'false');
|
||||
} else {
|
||||
throw error;
|
||||
}
|
||||
|
||||
// 2. Area-based searches (using Claude-detected areas)
|
||||
for (const area of [...detectedAreas].slice(0, 3)) {
|
||||
searchQueries.push({
|
||||
type: 'area',
|
||||
query: `repo:zed-industries/zed is:issue is:open label:"area:${area}" created:>${thirtyDaysAgo}`
|
||||
});
|
||||
}
|
||||
|
||||
// 3. Look for error patterns in the body
|
||||
const errorPatterns = body.match(/(?:error|panic|crash|failed|exception)[:\s]+[^\n]{10,100}/gi) || [];
|
||||
if (errorPatterns.length > 0) {
|
||||
const errorSnippet = errorPatterns[0]
|
||||
.slice(0, 60)
|
||||
.replace(/[^\w\s]/g, ' ')
|
||||
.replace(/\s+/g, ' ')
|
||||
.trim();
|
||||
if (errorSnippet.length > 15) {
|
||||
searchQueries.push({
|
||||
type: 'error',
|
||||
query: `repo:zed-industries/zed is:issue "${errorSnippet.slice(0, 40)}"`
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// Execute searches and collect candidates
|
||||
const candidates = [];
|
||||
const seenIssues = new Set([issueNumber]);
|
||||
|
||||
for (const { type, query } of searchQueries.slice(0, MAX_SEARCHES)) {
|
||||
try {
|
||||
console.log(`Search (${type}): ${query}`);
|
||||
const { data: results } = await github.rest.search.issuesAndPullRequests({
|
||||
q: query,
|
||||
sort: 'created',
|
||||
order: 'desc',
|
||||
per_page: 10
|
||||
});
|
||||
|
||||
for (const item of results.items) {
|
||||
if (!seenIssues.has(item.number) && !item.pull_request) {
|
||||
seenIssues.add(item.number);
|
||||
candidates.push({
|
||||
number: item.number,
|
||||
title: item.title,
|
||||
state: item.state,
|
||||
created_at: item.created_at,
|
||||
body_preview: (item.body || '').slice(0, 800),
|
||||
source: type
|
||||
});
|
||||
}
|
||||
}
|
||||
} catch (error) {
|
||||
console.log(`Search failed (${type}): ${error.message}`);
|
||||
}
|
||||
}
|
||||
|
||||
console.log(`Found ${candidates.length} candidates from searches`);
|
||||
|
||||
// Prepare issue data for Claude
|
||||
const issueData = {
|
||||
number: issueNumber,
|
||||
title: title,
|
||||
body: body.slice(0, 4000),
|
||||
};
|
||||
|
||||
// Prepare output
|
||||
core.setOutput('issue_data', JSON.stringify(issueData));
|
||||
core.setOutput('duplicate_magnets', JSON.stringify(relevantMagnets));
|
||||
core.setOutput('candidates', JSON.stringify(candidates.slice(0, 12)));
|
||||
core.setOutput('detected_areas', [...detectedAreas].join(', '));
|
||||
core.setOutput('should_analyze', (relevantMagnets.length > 0 || candidates.length > 0) ? 'true' : 'false');
|
||||
env:
|
||||
ISSUE_AUTHOR: ${{ steps.check-type.outputs.issue_author }}
|
||||
ISSUE_TITLE: ${{ steps.fetch-issue.outputs.issue_title }}
|
||||
ISSUE_BODY: ${{ steps.fetch-issue.outputs.issue_body }}
|
||||
|
||||
- name: Checkout repository
|
||||
# ========================================================================
|
||||
# PASS 2: Analyze duplicates with Claude
|
||||
# ========================================================================
|
||||
- name: "Pass 2: Analyze duplicates with Claude"
|
||||
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'
|
||||
steps.fetch-issue.outputs.should_continue == 'true' &&
|
||||
steps.gather-candidates.outputs.should_analyze == 'true'
|
||||
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: "*"
|
||||
env:
|
||||
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY_ISSUE_DEDUP }}
|
||||
ISSUE_DATA: ${{ steps.gather-candidates.outputs.issue_data }}
|
||||
DUPLICATE_MAGNETS: ${{ steps.gather-candidates.outputs.duplicate_magnets }}
|
||||
CANDIDATES: ${{ steps.gather-candidates.outputs.candidates }}
|
||||
run: |
|
||||
# shellcheck disable=SC2016
|
||||
cat > /tmp/prompt.txt << 'PROMPT_EOF'
|
||||
You are analyzing a GitHub issue to determine if it might be a duplicate of an existing issue.
|
||||
|
||||
prompt: |
|
||||
You are analyzing issue #${{ steps.check-type.outputs.issue_number }} in the zed-industries/zed repository to determine if it might be a duplicate of an existing issue.
|
||||
## New Issue Being Analyzed
|
||||
ISSUE_DATA_PLACEHOLDER
|
||||
|
||||
THIS IS A DRY RUN - do not post any comments or modify anything. Only analyze and return your findings.
|
||||
## Known Frequently-Duplicated Issues (High Priority)
|
||||
These issues have historically received many duplicate reports. Check these first.
|
||||
DUPLICATE_MAGNETS_PLACEHOLDER
|
||||
|
||||
## Instructions
|
||||
## Recent Similar Issues Found by Search
|
||||
CANDIDATES_PLACEHOLDER
|
||||
|
||||
1. Use mcp__github__get_issue to fetch the full details of issue #${{ steps.check-type.outputs.issue_number }}
|
||||
## Your Task
|
||||
|
||||
2. Extract key identifying information:
|
||||
- Error messages (exact text)
|
||||
- Stack traces or panic messages
|
||||
- Affected features/components
|
||||
- Steps to reproduce
|
||||
- Platform/OS information
|
||||
1. First, understand what the new issue is about:
|
||||
- What specific bug or problem is being reported?
|
||||
- What error messages, stack traces, or specific behaviors are mentioned?
|
||||
- What component/feature is affected?
|
||||
|
||||
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)
|
||||
2. Check against the frequently-duplicated issues first (high priority):
|
||||
- These are known "duplicate magnets" that often get re-reported
|
||||
- If the new issue describes the same problem, it's likely a duplicate
|
||||
|
||||
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
|
||||
3. Then check the recent similar issues:
|
||||
- Look for issues describing the SAME bug, not just related topics
|
||||
|
||||
## Critical Guidelines
|
||||
## Duplicate Criteria (be strict!)
|
||||
|
||||
- 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.
|
||||
An issue IS a duplicate if:
|
||||
- It describes the EXACT same bug with the same root cause
|
||||
- It has the same error message or stack trace
|
||||
- It has the same reproduction steps leading to the same outcome
|
||||
|
||||
## Output
|
||||
An issue is NOT a duplicate if:
|
||||
- It's merely related to the same feature/area
|
||||
- It has similar symptoms but potentially different causes
|
||||
- It mentions similar things but describes a different problem
|
||||
|
||||
Return your analysis as JSON with this exact structure. Do not include any other text outside the JSON.
|
||||
Be VERY conservative. It's better to miss a duplicate than to incorrectly flag a unique issue.
|
||||
|
||||
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"]}
|
||||
## Response Format
|
||||
|
||||
Return ONLY a JSON object (no markdown fences, no explanation before or after):
|
||||
{
|
||||
"is_potential_duplicate": boolean,
|
||||
"confidence": "high" | "medium" | "low" | "none",
|
||||
"potential_duplicates": [
|
||||
{"number": integer, "title": "string", "similarity_reason": "string explaining why this might be the same bug"}
|
||||
],
|
||||
"analysis_summary": "Brief explanation of what the new issue is about and your conclusion",
|
||||
"recommendation": "flag_as_duplicate" | "needs_human_review" | "not_a_duplicate"
|
||||
}
|
||||
PROMPT_EOF
|
||||
|
||||
# Single quotes are intentional to prevent bash expansion; node reads env vars via process.env
|
||||
# shellcheck disable=SC2016
|
||||
node << 'SCRIPT_EOF'
|
||||
const fs = require('fs');
|
||||
|
||||
let prompt = fs.readFileSync('/tmp/prompt.txt', 'utf8');
|
||||
prompt = prompt.replace('ISSUE_DATA_PLACEHOLDER', process.env.ISSUE_DATA);
|
||||
prompt = prompt.replace('DUPLICATE_MAGNETS_PLACEHOLDER', process.env.DUPLICATE_MAGNETS);
|
||||
prompt = prompt.replace('CANDIDATES_PLACEHOLDER', process.env.CANDIDATES);
|
||||
|
||||
fs.writeFileSync('/tmp/prompt_final.txt', prompt);
|
||||
SCRIPT_EOF
|
||||
|
||||
HTTP_CODE=$(curl -s -w "%{http_code}" -o /tmp/response.json -X POST "https://api.anthropic.com/v1/messages" \
|
||||
-H "Content-Type: application/json" \
|
||||
-H "x-api-key: $ANTHROPIC_API_KEY" \
|
||||
-H "anthropic-version: 2023-06-01" \
|
||||
--data-binary @- << EOF
|
||||
{
|
||||
"model": "claude-sonnet-4-5-20250929",
|
||||
"max_tokens": 1024,
|
||||
"messages": [{"role": "user", "content": $(jq -Rs . < /tmp/prompt_final.txt)}]
|
||||
}
|
||||
EOF
|
||||
)
|
||||
|
||||
RESPONSE=$(< /tmp/response.json)
|
||||
|
||||
if [ "$HTTP_CODE" -lt 200 ] || [ "$HTTP_CODE" -ge 300 ]; then
|
||||
echo "HTTP Error: $HTTP_CODE"
|
||||
echo "$RESPONSE" | jq . 2>/dev/null || echo "$RESPONSE"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
if echo "$RESPONSE" | jq -e '.error' > /dev/null 2>&1; then
|
||||
echo "API Error:"
|
||||
echo "$RESPONSE" | jq .
|
||||
exit 1
|
||||
fi
|
||||
|
||||
ANALYSIS=$(echo "$RESPONSE" | jq -r '.content[0].text // empty')
|
||||
|
||||
if [ -z "$ANALYSIS" ]; then
|
||||
echo "Error: No response from Claude"
|
||||
echo "$RESPONSE" | jq .
|
||||
exit 1
|
||||
fi
|
||||
|
||||
{
|
||||
echo "analysis<<ANALYSIS_EOF"
|
||||
echo "$ANALYSIS"
|
||||
echo "ANALYSIS_EOF"
|
||||
} >> "$GITHUB_OUTPUT"
|
||||
|
||||
INPUT_TOKENS=$(echo "$RESPONSE" | jq -r '.usage.input_tokens')
|
||||
OUTPUT_TOKENS=$(echo "$RESPONSE" | jq -r '.usage.output_tokens')
|
||||
echo "Pass 2 token usage - Input: $INPUT_TOKENS, Output: $OUTPUT_TOKENS"
|
||||
|
||||
# ========================================================================
|
||||
# Log results
|
||||
# ========================================================================
|
||||
- name: Log analysis results
|
||||
if: |
|
||||
steps.check-type.outputs.is_target_type == 'true' &&
|
||||
steps.check-staff.outputs.is_staff == 'false' &&
|
||||
steps.fetch-issue.outputs.should_continue == 'true' &&
|
||||
!cancelled()
|
||||
uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7.0.1
|
||||
with:
|
||||
script: |
|
||||
const output = process.env.ANALYSIS_OUTPUT || '';
|
||||
const issueNumber = parseInt('${{ steps.fetch-issue.outputs.issue_number }}', 10) || 0;
|
||||
const issueTitle = process.env.ISSUE_TITLE || '';
|
||||
const detectedAreas = '${{ steps.gather-candidates.outputs.detected_areas }}' || '(none)';
|
||||
const shouldAnalyze = '${{ steps.gather-candidates.outputs.should_analyze }}' === 'true';
|
||||
const analysisRaw = process.env.ANALYSIS_OUTPUT || '';
|
||||
|
||||
console.log('='.repeat(60));
|
||||
console.log('DRY RUN ANALYSIS RESULTS');
|
||||
console.log('DUPLICATE DETECTION RESULTS (TWO-PASS)');
|
||||
console.log('='.repeat(60));
|
||||
console.log(`Issue: #${issueNumber} - ${issueTitle}`);
|
||||
console.log(`URL: https://github.com/zed-industries/zed/issues/${issueNumber}`);
|
||||
console.log(`Detected Areas: ${detectedAreas}`);
|
||||
|
||||
if (!output || output === '') {
|
||||
console.log('No structured output received from analysis');
|
||||
core.summary.addHeading('⚠️ Analysis did not produce output', 2);
|
||||
core.summary.addRaw('The duplicate detection analysis did not return structured output. Check the workflow logs for details.');
|
||||
if (!shouldAnalyze) {
|
||||
console.log('\nNo duplicate magnets or candidates found - skipping analysis');
|
||||
core.summary.addHeading(`✅ Issue #${issueNumber}: No similar issues found`, 2);
|
||||
core.summary.addRaw(`\n**Title:** ${issueTitle}\n\n`);
|
||||
core.summary.addRaw(`**Detected Areas:** ${detectedAreas}\n\n`);
|
||||
core.summary.addRaw('No potential duplicates were found by search or in the known duplicate magnets list.\n');
|
||||
await core.summary.write();
|
||||
return;
|
||||
}
|
||||
|
||||
if (!analysisRaw) {
|
||||
console.log('\nNo analysis output received');
|
||||
core.summary.addHeading(`⚠️ Issue #${issueNumber}: Analysis incomplete`, 2);
|
||||
core.summary.addRaw(`**Detected Areas:** ${detectedAreas}\n\n`);
|
||||
core.summary.addRaw('The Claude analysis step did not produce output. Check workflow logs.\n');
|
||||
await core.summary.write();
|
||||
return;
|
||||
}
|
||||
|
||||
try {
|
||||
const analysis = JSON.parse(output);
|
||||
let cleanJson = analysisRaw.trim();
|
||||
if (cleanJson.startsWith('```')) {
|
||||
cleanJson = cleanJson.replace(/^```(?:json)?\n?/, '').replace(/\n?```$/, '');
|
||||
}
|
||||
|
||||
console.log(`\nIssue: #${analysis.issue_number} - ${analysis.issue_title || 'N/A'}`);
|
||||
console.log(`Is Potential Duplicate: ${analysis.is_potential_duplicate}`);
|
||||
const analysis = JSON.parse(cleanJson);
|
||||
|
||||
console.log(`\nIs 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) {
|
||||
if (analysis.potential_duplicates && 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: ${dup.similarity_reason}`);
|
||||
}
|
||||
} else {
|
||||
console.log('\nNo potential duplicates identified.');
|
||||
console.log('\nNo potential duplicates identified by analysis.');
|
||||
}
|
||||
|
||||
console.log('\n' + '='.repeat(60));
|
||||
|
||||
// set summary for workflow run
|
||||
const summaryIcon = analysis.is_potential_duplicate ? '⚠️' : '✅';
|
||||
const summaryText = analysis.is_potential_duplicate
|
||||
? `Potential duplicate detected (${analysis.confidence} confidence)`
|
||||
: 'No likely duplicates found';
|
||||
|
||||
core.summary.addHeading(`${summaryIcon} Issue #${analysis.issue_number}: ${summaryText}`, 2);
|
||||
core.summary.addRaw(`\n**Recommendation:** ${analysis.recommendation}\n\n`);
|
||||
core.summary.addHeading(`${summaryIcon} Issue #${issueNumber}: ${summaryText}`, 2);
|
||||
core.summary.addRaw(`\n**Title:** ${issueTitle}\n\n`);
|
||||
core.summary.addRaw(`**Detected Areas:** ${detectedAreas}\n\n`);
|
||||
core.summary.addRaw(`**Recommendation:** \`${analysis.recommendation}\`\n\n`);
|
||||
core.summary.addRaw(`**Summary:** ${analysis.analysis_summary}\n\n`);
|
||||
|
||||
if (analysis.potential_duplicates.length > 0) {
|
||||
if (analysis.potential_duplicates && analysis.potential_duplicates.length > 0) {
|
||||
core.summary.addHeading('Potential Duplicates', 3);
|
||||
const rows = analysis.potential_duplicates.map(d => [
|
||||
`#${d.number}`,
|
||||
d.title,
|
||||
`[#${d.number}](https://github.com/zed-industries/zed/issues/${d.number})`,
|
||||
d.title.slice(0, 60) + (d.title.length > 60 ? '...' : ''),
|
||||
d.similarity_reason
|
||||
]);
|
||||
core.summary.addTable([
|
||||
@@ -238,10 +681,12 @@ jobs:
|
||||
|
||||
} 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\`\`\``);
|
||||
console.log('Raw output:', analysisRaw);
|
||||
core.summary.addHeading(`⚠️ Issue #${issueNumber}: Failed to parse analysis`, 2);
|
||||
core.summary.addRaw(`**Detected Areas:** ${detectedAreas}\n\n`);
|
||||
core.summary.addRaw(`Error: ${e.message}\n\nRaw output:\n\`\`\`\n${analysisRaw.slice(0, 1000)}\n\`\`\``);
|
||||
await core.summary.write();
|
||||
}
|
||||
env:
|
||||
ANALYSIS_OUTPUT: ${{ steps.analyze.outputs.structured_output }}
|
||||
ISSUE_TITLE: ${{ steps.fetch-issue.outputs.issue_title }}
|
||||
ANALYSIS_OUTPUT: ${{ steps.analyze.outputs.analysis }}
|
||||
Reference in new issue
Block a user