fix(issue-plan-agent): Update acceptance criteria terminology and enhance issue loading process with metadata

This commit is contained in:
catlog22
2025-12-27 23:51:30 +08:00
parent 0992d27523
commit a061fc1428
3 changed files with 96 additions and 31 deletions

View File

@@ -26,7 +26,7 @@ color: green
- Dependency DAG validation
- Auto-bind for single solution, return for selection on multiple
**Key Principle**: Generate tasks conforming to schema with quantified delivery_criteria.
**Key Principle**: Generate tasks conforming to schema with quantified acceptance criteria.
---
@@ -71,11 +71,17 @@ function analyzeIssue(issue) {
issue_id: issue.id,
requirements: extractRequirements(issue.description),
scope: inferScope(issue.title, issue.description),
complexity: determineComplexity(issue) // Low | Medium | High
complexity: determineComplexity(issue), // Low | Medium | High
lifecycle: issue.lifecycle_requirements // User preferences for test/commit
}
}
```
**Step 3**: Apply lifecycle requirements to tasks
- `lifecycle.test_strategy` → Configure `test.unit`, `test.commands`
- `lifecycle.commit_strategy` → Configure `commit.type`, `commit.scope`
- `lifecycle.regression_scope` → Configure `regression` array
**Complexity Rules**:
| Complexity | Files | Tasks |
|------------|-------|-------|
@@ -147,18 +153,29 @@ Generate multiple candidate solutions when:
```javascript
function decomposeTasks(issue, exploration) {
return groups.map(group => ({
id: `TASK-${String(taskId++).padStart(3, '0')}`,
id: `T${taskId++}`, // Pattern: ^T[0-9]+$
title: group.title,
type: inferType(group), // feature | bug | refactor | test | chore | docs
scope: inferScope(group), // Module path
action: inferAction(group), // Create | Update | Implement | ...
description: group.description,
file_context: group.files,
modification_points: mapModificationPoints(group),
implementation: generateSteps(group), // Step-by-step guide
test: {
unit: generateUnitTests(group),
commands: ['npm test']
},
acceptance: {
criteria: generateCriteria(group), // Quantified checklist
verification: generateVerification(group)
},
commit: {
type: inferCommitType(group), // feat | fix | refactor | ...
scope: inferScope(group),
message_template: generateCommitMsg(group)
},
depends_on: inferDependencies(group, tasks),
delivery_criteria: generateDeliveryCriteria(group), // Quantified checklist
pause_criteria: identifyBlockers(group),
status: 'pending',
current_phase: 'analyze',
executor: inferExecutor(group),
priority: calculatePriority(group)
priority: calculatePriority(group) // 1-5 (1=highest)
}))
}
```

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@@ -126,6 +126,16 @@ function detectConflicts(fileModifications, graph) {
### 2.4 Semantic Priority
**Base Priority Mapping** (task.priority 1-5 → base score):
| task.priority | Base Score | Meaning |
|---------------|------------|---------|
| 1 | 0.8 | Highest |
| 2 | 0.65 | High |
| 3 | 0.5 | Medium |
| 4 | 0.35 | Low |
| 5 | 0.2 | Lowest |
**Action-based Boost** (applied to base score):
| Factor | Boost |
|--------|-------|
| Create action | +0.2 |
@@ -138,6 +148,8 @@ function detectConflicts(fileModifications, graph) {
| Test action | -0.1 |
| Delete action | -0.15 |
**Formula**: `semantic_priority = clamp(baseScore + sum(boosts), 0.0, 1.0)`
### 2.5 Group Assignment
- **Parallel (P*)**: Tasks with no dependencies or conflicts between them

View File

@@ -70,9 +70,9 @@ Unified planning command using **issue-plan-agent** that combines exploration an
```
Phase 1: Issue Loading
├─ Parse input (single, comma-separated, or --all-pending)
├─ Load issues from .workflow/issues/issues.jsonl
├─ Fetch issue metadata (ID, title, tags)
├─ Validate issues exist (create if needed)
└─ Group into batches (max 3 per batch)
└─ Group by similarity (shared tags or title keywords, max 3 per batch)
Phase 2: Unified Explore + Plan (issue-plan-agent)
├─ Launch issue-plan-agent per batch
@@ -97,41 +97,71 @@ Phase 4: Summary
## Implementation
### Phase 1: Issue Loading (IDs Only)
### Phase 1: Issue Loading (ID + Title + Tags)
```javascript
const batchSize = flags.batchSize || 3;
let issueIds = [];
let issues = []; // {id, title, tags}
if (flags.allPending) {
// Get pending issue IDs directly via CLI
const ids = Bash(`ccw issue list --status pending,registered --ids`).trim();
issueIds = ids ? ids.split('\n').filter(Boolean) : [];
// Get pending issues with metadata via CLI (JSON output)
const result = Bash(`ccw issue list --status pending,registered --json`).trim();
const parsed = result ? JSON.parse(result) : [];
issues = parsed.map(i => ({ id: i.id, title: i.title || '', tags: i.tags || [] }));
if (issueIds.length === 0) {
if (issues.length === 0) {
console.log('No pending issues found.');
return;
}
console.log(`Found ${issueIds.length} pending issues`);
console.log(`Found ${issues.length} pending issues`);
} else {
// Parse comma-separated issue IDs
issueIds = userInput.includes(',')
// Parse comma-separated issue IDs, fetch metadata
const ids = userInput.includes(',')
? userInput.split(',').map(s => s.trim())
: [userInput.trim()];
// Create if not exists
for (const id of issueIds) {
for (const id of ids) {
Bash(`ccw issue init ${id} --title "Issue ${id}" 2>/dev/null || true`);
const info = Bash(`ccw issue status ${id} --json`).trim();
const parsed = info ? JSON.parse(info) : {};
issues.push({ id, title: parsed.title || '', tags: parsed.tags || [] });
}
}
// Group into batches
const batches = [];
for (let i = 0; i < issueIds.length; i += batchSize) {
batches.push(issueIds.slice(i, i + batchSize));
// Intelligent grouping by similarity (tags → title keywords)
function groupBySimilarity(issues, maxSize) {
const batches = [];
const used = new Set();
for (const issue of issues) {
if (used.has(issue.id)) continue;
const batch = [issue];
used.add(issue.id);
const issueTags = new Set(issue.tags);
const issueWords = new Set(issue.title.toLowerCase().split(/\s+/));
// Find similar issues
for (const other of issues) {
if (used.has(other.id) || batch.length >= maxSize) continue;
// Similarity: shared tags or shared title keywords
const sharedTags = other.tags.filter(t => issueTags.has(t)).length;
const otherWords = other.title.toLowerCase().split(/\s+/);
const sharedWords = otherWords.filter(w => issueWords.has(w) && w.length > 3).length;
if (sharedTags > 0 || sharedWords >= 2) {
batch.push(other);
used.add(other.id);
}
}
batches.push(batch);
}
return batches;
}
console.log(`Processing ${issueIds.length} issues in ${batches.length} batch(es)`);
const batches = groupBySimilarity(issues, batchSize);
console.log(`Processing ${issues.length} issues in ${batches.length} batch(es) (grouped by similarity)`);
TodoWrite({
todos: batches.map((_, i) => ({
@@ -151,11 +181,16 @@ const pendingSelections = []; // Collect multi-solution issues for user selecti
for (const [batchIndex, batch] of batches.entries()) {
updateTodo(`Plan batch ${batchIndex + 1}`, 'in_progress');
// Build issue list with metadata for agent context
const issueList = batch.map(i => `- ${i.id}: ${i.title}${i.tags.length ? ` [${i.tags.join(', ')}]` : ''}`).join('\n');
// Build minimal prompt - agent handles exploration, planning, and binding
const issuePrompt = `
## Plan Issues
**Issue IDs**: ${batch.join(', ')}
**Issues** (grouped by similarity):
${issueList}
**Project Root**: ${process.cwd()}
### Steps
@@ -181,10 +216,11 @@ for (const [batchIndex, batch] of batches.entries()) {
`;
// Launch issue-plan-agent - agent writes solutions directly
const batchIds = batch.map(i => i.id);
const result = Task(
subagent_type="issue-plan-agent",
run_in_background=false,
description=`Explore & plan ${batch.length} issues`,
description=`Explore & plan ${batch.length} issues: ${batchIds.join(', ')}`,
prompt=issuePrompt
);
@@ -244,7 +280,7 @@ const plannedIds = Bash(`ccw issue list --status planned --ids`).trim();
const plannedCount = plannedIds ? plannedIds.split('\n').length : 0;
console.log(`
## Done: ${issueIds.length} issues → ${plannedCount} planned
## Done: ${issues.length} issues → ${plannedCount} planned
Next: \`/issue:queue\`\`/issue:execute\`
`);