mirror of
https://github.com/catlog22/Claude-Code-Workflow.git
synced 2026-02-12 02:37:45 +08:00
feat(issue-plan): enhance conflict detection and resolution process with semantic grouping and user clarifications
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@@ -128,40 +128,46 @@ if (flags.allPending) {
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}
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}
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// Intelligent grouping by similarity (tags → title keywords)
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function groupBySimilarity(issues, maxSize) {
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const batches = [];
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const used = new Set();
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// Semantic grouping via Gemini CLI (max 6 issues per group)
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async function groupBySimilarityGemini(issues) {
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const issueSummaries = issues.map(i => ({
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id: i.id, title: i.title, tags: i.tags
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}));
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for (const issue of issues) {
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if (used.has(issue.id)) continue;
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const prompt = `
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PURPOSE: Group similar issues by semantic similarity for batch processing; maximize within-group coherence; max 6 issues per group
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TASK: • Analyze issue titles/tags semantically • Identify functional/architectural clusters • Assign each issue to one group
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MODE: analysis
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CONTEXT: Issue metadata only
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EXPECTED: JSON with groups array, each containing max 6 issue_ids, theme, rationale
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RULES: $(cat ~/.claude/workflows/cli-templates/protocols/analysis-protocol.md) | Each issue in exactly one group | Max 6 issues per group | Balance group sizes
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const batch = [issue];
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used.add(issue.id);
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const issueTags = new Set(issue.tags);
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const issueWords = new Set(issue.title.toLowerCase().split(/\s+/));
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INPUT:
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${JSON.stringify(issueSummaries, null, 2)}
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// Find similar issues
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for (const other of issues) {
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if (used.has(other.id) || batch.length >= maxSize) continue;
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OUTPUT FORMAT:
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{"groups":[{"group_id":1,"theme":"...","issue_ids":["..."],"rationale":"..."}],"ungrouped":[]}
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`;
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// Similarity: shared tags or shared title keywords
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const sharedTags = other.tags.filter(t => issueTags.has(t)).length;
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const otherWords = other.title.toLowerCase().split(/\s+/);
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const sharedWords = otherWords.filter(w => issueWords.has(w) && w.length > 3).length;
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const taskId = Bash({
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command: `ccw cli -p "${prompt}" --tool gemini --mode analysis`,
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run_in_background: true, timeout: 600000
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});
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const output = TaskOutput({ task_id: taskId, block: true });
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if (sharedTags > 0 || sharedWords >= 2) {
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batch.push(other);
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used.add(other.id);
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}
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}
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batches.push(batch);
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// Extract JSON from potential markdown code blocks
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function extractJsonFromMarkdown(text) {
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const jsonMatch = text.match(/```json\s*\n([\s\S]*?)\n```/) ||
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text.match(/```\s*\n([\s\S]*?)\n```/);
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return jsonMatch ? jsonMatch[1] : text;
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}
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return batches;
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const result = JSON.parse(extractJsonFromMarkdown(output));
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return result.groups.map(g => g.issue_ids.map(id => issues.find(i => i.id === id)));
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}
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const batches = groupBySimilarity(issues, batchSize);
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console.log(`Processing ${issues.length} issues in ${batches.length} batch(es) (grouped by similarity)`);
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const batches = await groupBySimilarityGemini(issues);
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console.log(`Processing ${issues.length} issues in ${batches.length} batch(es) (Gemini semantic grouping, max 6 issues/agent)`);
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TodoWrite({
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todos: batches.map((_, i) => ({
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@@ -177,6 +183,7 @@ TodoWrite({
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```javascript
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Bash(`mkdir -p .workflow/issues/solutions`);
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const pendingSelections = []; // Collect multi-solution issues for user selection
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const agentResults = []; // Collect all agent results for conflict aggregation
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// Build prompts for all batches
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const agentTasks = batches.map((batch, batchIndex) => {
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@@ -248,6 +255,7 @@ for (let i = 0; i < agentTasks.length; i += MAX_PARALLEL) {
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for (const { taskId, batchIndex } of taskIds) {
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const result = TaskOutput(task_id=taskId, block=true);
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const summary = JSON.parse(result);
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agentResults.push(summary); // Store for Phase 3 conflict aggregation
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for (const item of summary.bound || []) {
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console.log(`✓ ${item.issue_id}: ${item.solution_id} (${item.task_count} tasks)`);
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@@ -258,17 +266,55 @@ for (let i = 0; i < agentTasks.length; i += MAX_PARALLEL) {
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pendingSelections.push(pending);
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}
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if (summary.conflicts?.length > 0) {
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console.log(`⚠ Conflicts: ${summary.conflicts.map(c => c.file).join(', ')}`);
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console.log(`⚠ Conflicts: ${summary.conflicts.length} detected (will resolve in Phase 3)`);
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}
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updateTodo(`Plan batch ${batchIndex + 1}`, 'completed');
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}
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}
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```
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### Phase 3: Multi-Solution Selection (MANDATORY when pendingSelections > 0)
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### Phase 3: Conflict Resolution & Solution Selection
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```javascript
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// MUST trigger user selection when multiple solutions exist
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// Phase 3a: Aggregate and resolve conflicts from all agents
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const allConflicts = [];
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for (const result of agentResults) {
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if (result.conflicts?.length > 0) {
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allConflicts.push(...result.conflicts);
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}
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}
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if (allConflicts.length > 0) {
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console.log(`\n## Resolving ${allConflicts.length} conflict(s) detected by agents\n`);
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// ALWAYS confirm high-severity conflicts (per user preference)
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const highSeverity = allConflicts.filter(c => c.severity === 'high');
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const lowMedium = allConflicts.filter(c => c.severity !== 'high');
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// Auto-resolve low/medium severity
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for (const conflict of lowMedium) {
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console.log(` Auto-resolved: ${conflict.summary} → ${conflict.recommended_resolution}`);
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}
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// ALWAYS require user confirmation for high severity
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if (highSeverity.length > 0) {
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const conflictAnswer = AskUserQuestion({
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questions: highSeverity.slice(0, 4).map(conflict => ({
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question: `${conflict.type}: ${conflict.summary}. How to resolve?`,
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header: conflict.type.replace('_conflict', ''),
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multiSelect: false,
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options: conflict.resolution_options.map(opt => ({
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label: opt.strategy,
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description: opt.rationale
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}))
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}))
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});
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// Apply user-selected resolutions
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console.log('Applied user-selected conflict resolutions');
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}
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}
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// Phase 3b: Multi-Solution Selection (MANDATORY when pendingSelections > 0)
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if (pendingSelections.length > 0) {
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console.log(`\n## User Selection Required: ${pendingSelections.length} issue(s) have multiple solutions\n`);
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