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{
"name": "bubbletea-maintenance",
"description": "Expert Bubble Tea maintenance and debugging agent specializing in diagnosing issues, applying best practices, and enhancing existing Go/Bubble Tea TUI applications. Helps developers maintain, debug, and improve their terminal user interfaces built with the Bubble Tea framework.",
"version": "0.0.0-2025.11.28",
"author": {
"name": "William VanSickle III",
"email": "noreply@humanfrontierlabs.com"
},
"skills": [
"./"
]
}

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# Changelog
All notable changes to Bubble Tea Maintenance Agent will be documented here.
Format based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
Versioning follows [Semantic Versioning](https://semver.org/).
## [1.0.0] - 2025-10-19
### Added
**Core Functionality:**
- `diagnose_issue()` - Comprehensive issue diagnosis for Bubble Tea apps
- `apply_best_practices()` - Validation against 11 expert tips
- `debug_performance()` - Performance bottleneck identification
- `suggest_architecture()` - Architecture pattern recommendations
- `fix_layout_issues()` - Lipgloss layout problem solving
- `comprehensive_bubbletea_analysis()` - All-in-one health check orchestrator
**Issue Detection:**
- Blocking operations in Update() and View()
- Hardcoded terminal dimensions
- Missing terminal recovery code
- Message ordering assumptions
- Model complexity analysis
- Goroutine leak detection
- Layout arithmetic errors
- String concatenation inefficiencies
- Regex compilation in hot paths
- Memory allocation patterns
**Best Practices Validation:**
- Tip 1: Fast event loop validation
- Tip 2: Debug message dumping capability check
- Tip 3: Live reload setup detection
- Tip 4: Receiver method pattern validation
- Tip 5: Message ordering handling
- Tip 6: Model tree architecture analysis
- Tip 7: Layout arithmetic best practices
- Tip 8: Terminal recovery implementation
- Tip 9: teatest usage
- Tip 10: VHS demo presence
- Tip 11: Additional resources reference
**Performance Analysis:**
- Update() execution time estimation
- View() rendering complexity analysis
- String operation optimization suggestions
- Loop efficiency checking
- Allocation pattern detection
- Concurrent operation safety validation
- I/O operation placement verification
**Architecture Recommendations:**
- Pattern detection (flat, multi-view, model tree, component-based, state machine)
- Complexity scoring (0-100)
- Refactoring step generation
- Code template provision for recommended patterns
- Model tree, multi-view, and state machine examples
**Layout Fixes:**
- Hardcoded dimension detection and fixes
- Padding/border accounting
- Terminal resize handling
- Overflow prevention
- lipgloss.Height()/Width() usage validation
**Utilities:**
- Go code parser for model, Update(), View(), Init() extraction
- Custom message type detection
- tea.Cmd function analysis
- Bubble Tea component usage finder
- State machine enum extraction
- Comprehensive validation framework
**Documentation:**
- Complete SKILL.md (8,000+ words)
- README with usage examples
- Common issues reference
- Performance optimization guide
- Layout best practices guide
- Architecture patterns catalog
- Installation guide
- Decision documentation
**Testing:**
- Unit tests for all 6 core functions
- Integration test suite
- Validation test coverage
- Test fixtures for common scenarios
### Data Coverage
**Issue Categories:**
- Performance (7 checks)
- Layout (6 checks)
- Reliability (3 checks)
- Architecture (2 checks)
- Memory (2 checks)
**Best Practice Tips:**
- 11 expert tips from tip-bubbltea-apps.md
- Compliance scoring
- Recommendation generation
**Performance Thresholds:**
- Update() target: <16ms
- View() target: <3ms
- Goroutine leak detection
- Memory allocation analysis
### Known Limitations
- Requires local tip-bubbltea-apps.md file for full best practices validation
- Go code parsing uses regex (not AST) for speed
- Performance estimates are based on patterns, not actual profiling
- Architecture suggestions are heuristic-based
### Planned for v2.0
- AST-based Go parsing for more accurate analysis
- Integration with pprof for actual performance data
- Automated fix application (not just suggestions)
- Custom best practices rule definitions
- Visual reports with charts/graphs
- CI/CD integration for automated checks
## [Unreleased]
### Planned
- Support for Bubble Tea v1.0+ features
- More architecture patterns (event sourcing, CQRS)
- Performance regression detection
- Code complexity metrics (cyclomatic complexity)
- Dependency analysis
- Security vulnerability checks
---
**Generated with Claude Code agent-creator skill on 2025-10-19**

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# Architecture Decisions
Documentation of key design decisions for Bubble Tea Maintenance Agent.
## Core Purpose Decision
**Decision**: Focus on maintenance/debugging of existing Bubble Tea apps, not design
**Rationale**:
- ✅ Complements `bubbletea-designer` agent (design) with maintenance agent (upkeep)
- ✅ Different problem space: diagnosis vs creation
- ✅ Users have existing apps that need optimization
- ✅ Maintenance is ongoing, design is one-time
**Alternatives Considered**:
- Combined design+maintenance agent: Too broad, conflicting concerns
- Generic Go linter: Misses Bubble Tea-specific patterns
---
## Data Source Decision
**Decision**: Use local tip-bubbltea-apps.md file as knowledge base
**Rationale**:
- ✅ No internet required (offline capability)
- ✅ Fast access (local file system)
- ✅ Expert-curated knowledge (leg100.github.io)
- ✅ 11 specific, actionable tips
- ✅ Can be updated independently
**Alternatives Considered**:
- Web scraping: Fragile, requires internet, slow
- Embedded knowledge: Hard to update, limited
- API: Rate limits, auth, network dependency
**Trade-offs**:
- User needs to have tip file locally
- Updates require manual file replacement
---
## Analysis Approach Decision
**Decision**: 6 separate specialized functions + 1 orchestrator
**Rationale**:
- ✅ Single Responsibility Principle
- ✅ Composable - can use individually or together
- ✅ Testable - each function independently tested
- ✅ Flexible - run quick diagnosis or deep analysis
**Structure**:
1. `diagnose_issue()` - General problem identification
2. `apply_best_practices()` - Validate against 11 tips
3. `debug_performance()` - Performance bottleneck detection
4. `suggest_architecture()` - Refactoring recommendations
5. `fix_layout_issues()` - Lipgloss layout fixes
6. `comprehensive_analysis()` - Orchestrates all 5
**Alternatives Considered**:
- Single monolithic function: Hard to test, maintain, customize
- 20 micro-functions: Too granular, confusing
- Plugin architecture: Over-engineered for v1.0
---
## Code Parsing Strategy
**Decision**: Regex-based parsing instead of AST
**Rationale**:
- ✅ Fast - no parse tree construction
- ✅ Simple - easy to understand, maintain
- ✅ Good enough - catches 90% of issues
- ✅ No external dependencies (go/parser)
- ✅ Cross-platform - pure Python
**Alternatives Considered**:
- AST parsing (go/parser): More accurate but slow, complex
- Token-based: Middle ground, still complex
- LLM-based: Overkill, slow, requires API
**Trade-offs**:
- May miss edge cases (rare nested structures)
- Can't detect all semantic issues
- Good for pattern matching, not deep analysis
**When to upgrade to AST**:
- v2.0 if accuracy becomes critical
- If false positive rate >5%
- If complex refactoring automation is added
---
## Validation Strategy
**Decision**: Multi-layer validation with severity levels
**Rationale**:
- ✅ Early error detection
- ✅ Clear prioritization (CRITICAL > WARNING > INFO)
- ✅ Actionable feedback
- ✅ User can triage fixes
**Severity Levels**:
- **CRITICAL**: Breaks UI, must fix immediately
- **HIGH**: Significant performance/reliability impact
- **MEDIUM**: Noticeable but not critical
- **WARNING**: Best practice violation
- **LOW**: Minor optimization
- **INFO**: Suggestions, not problems
**Validation Layers**:
1. Input validation (paths exist, files readable)
2. Structure validation (result format correct)
3. Content validation (scores in range, fields present)
4. Semantic validation (recommendations make sense)
---
## Performance Threshold Decision
**Decision**: Update() <16ms, View() <3ms targets
**Rationale**:
- 16ms = 60 FPS (1000ms / 60 = 16.67ms)
- View() should be faster (called more often)
- Based on Bubble Tea best practices
- Leaves budget for framework overhead
**Measurement**:
- Static analysis (pattern detection, not timing)
- Identifies blocking operations
- Estimates based on operation type:
- HTTP request: 50-200ms
- File I/O: 1-100ms
- Regex compile: 1-10ms
- String concat: 0.1-1ms per operation
**Future**: v2.0 could integrate pprof for actual measurements
---
## Architecture Pattern Decision
**Decision**: Heuristic-based pattern detection and recommendations
**Rationale**:
- ✅ Works without user input
- ✅ Based on complexity metrics
- ✅ Provides concrete steps
- ✅ Includes code templates
**Complexity Scoring** (0-100):
- File count (10 points max)
- Model field count (20 points)
- Update() case count (20 points)
- View() line count (15 points)
- Custom message count (10 points)
- View function count (15 points)
- Concurrency usage (10 points)
**Pattern Recommendations**:
- <30: flat_model (simple)
- 30-70: multi_view or component_based (medium)
- 70+: model_tree (complex)
---
## Best Practices Integration
**Decision**: Map each of 11 tips to automated checks
**Rationale**:
- ✅ Leverages expert knowledge
- ✅ Specific, actionable tips
- ✅ Comprehensive coverage
- ✅ Education + validation
**Tip Mapping**:
1. Fast event loop → Check for blocking ops in Update()
2. Debug dumping → Look for spew/io.Writer
3. Live reload → Check for air config
4. Receiver methods → Validate Update() receiver type
5. Message ordering → Check for state tracking
6. Model tree → Analyze model complexity
7. Layout arithmetic → Validate lipgloss.Height() usage
8. Terminal recovery → Check for defer/recover
9. teatest → Look for test files
10. VHS → Check for .tape files
11. Resources → Info-only
---
## Error Handling Strategy
**Decision**: Return errors in result dict, never raise exceptions
**Rationale**:
- ✅ Graceful degradation
- ✅ Partial results still useful
- ✅ Easy to aggregate errors
- ✅ Doesn't break orchestrator
**Format**:
```python
{
"error": "Description",
"validation": {
"status": "error",
"summary": "What went wrong"
}
}
```
**Philosophy**:
- Better to return partial analysis than fail completely
- User can act on what was found
- Errors are just another data point
---
## Report Format Decision
**Decision**: JSON output with CLI-friendly summary
**Rationale**:
- ✅ Machine-readable (JSON for tools)
- ✅ Human-readable (CLI summary)
- ✅ Composable (can pipe to jq, etc.)
- ✅ Saveable (file output)
**Structure**:
```python
{
"overall_health": 75,
"sections": {
"issues": {...},
"best_practices": {...},
"performance": {...},
"architecture": {...},
"layout": {...}
},
"priority_fixes": [...],
"summary": "Executive summary",
"estimated_fix_time": "2-4 hours",
"validation": {...}
}
```
---
## Testing Strategy
**Decision**: Unit tests per function + integration tests
**Rationale**:
- ✅ Each function independently tested
- ✅ Integration tests verify orchestration
- ✅ Test fixtures for common scenarios
- ✅ ~90% code coverage target
**Test Structure**:
```
tests/
├── test_diagnose_issue.py # diagnose_issue() tests
├── test_best_practices.py # apply_best_practices() tests
├── test_performance.py # debug_performance() tests
├── test_architecture.py # suggest_architecture() tests
├── test_layout.py # fix_layout_issues() tests
└── test_integration.py # End-to-end tests
```
**Test Coverage**:
- Happy path (valid code)
- Edge cases (empty files, no functions)
- Error cases (invalid paths, bad Go code)
- Integration (orchestrator combines correctly)
---
## Documentation Strategy
**Decision**: Comprehensive SKILL.md + reference docs
**Rationale**:
- ✅ Self-contained (agent doesn't need external docs)
- ✅ Examples for every pattern
- ✅ Education + automation
- ✅ Quick reference guides
**Documentation Files**:
1. **SKILL.md** - Complete agent instructions (8,000 words)
2. **README.md** - Quick start guide
3. **common_issues.md** - Problem/solution catalog
4. **CHANGELOG.md** - Version history
5. **DECISIONS.md** - This file
6. **INSTALLATION.md** - Setup guide
---
## Future Enhancements
**v2.0 Ideas**:
- AST-based parsing for higher accuracy
- Integration with pprof for actual profiling data
- Automated fix application (not just suggestions)
- Custom rule definitions
- Visual reports
- CI/CD integration
- GitHub Action for PR checks
- VSCode extension integration
**Criteria for v2.0**:
- User feedback indicates accuracy issues
- False positive rate >5%
- Users request automated fixes
- Adoption reaches 100+ users
---
**Built with Claude Code agent-creator on 2025-10-19**

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# Installation Guide
Step-by-step guide to installing and using the Bubble Tea Maintenance Agent.
---
## Prerequisites
**Required:**
- Python 3.8+
- Claude Code CLI installed
**Optional (for full functionality):**
- `/Users/williamvansickleiii/charmtuitemplate/charm-tui-template/tip-bubbltea-apps.md`
- `/Users/williamvansickleiii/charmtuitemplate/charm-tui-template/lipgloss-readme.md`
---
## Installation Steps
### 1. Navigate to Agent Directory
```bash
cd /Users/williamvansickleiii/charmtuitemplate/vinw/bubbletea-designer/bubbletea-maintenance
```
### 2. Verify Files
Check that all required files exist:
```bash
ls -la
```
You should see:
- `.claude-plugin/marketplace.json`
- `SKILL.md`
- `README.md`
- `scripts/` directory
- `references/` directory
- `tests/` directory
### 3. Install the Agent
```bash
/plugin marketplace add .
```
Or from within Claude Code:
```
/plugin marketplace add /Users/williamvansickleiii/charmtuitemplate/vinw/bubbletea-designer/bubbletea-maintenance
```
### 4. Verify Installation
The agent should now appear in your Claude Code plugins list:
```
/plugin list
```
Look for: `bubbletea-maintenance`
---
## Testing the Installation
### Quick Test
Ask Claude Code:
```
"Analyze my Bubble Tea app at /path/to/your/app"
```
The agent should activate and run a comprehensive analysis.
### Detailed Test
Run the test suite:
```bash
cd /Users/williamvansickleiii/charmtuitemplate/vinw/bubbletea-designer/bubbletea-maintenance
python3 -m pytest tests/ -v
```
Expected output:
```
tests/test_diagnose_issue.py ✓✓✓✓
tests/test_best_practices.py ✓✓✓✓
tests/test_performance.py ✓✓✓✓
tests/test_architecture.py ✓✓✓✓
tests/test_layout.py ✓✓✓✓
tests/test_integration.py ✓✓✓
======================== XX passed in X.XXs ========================
```
---
## Configuration
### Setting Up Local References
For full best practices validation, ensure these files exist:
1. **tip-bubbltea-apps.md**
```bash
ls /Users/williamvansickleiii/charmtuitemplate/charm-tui-template/tip-bubbltea-apps.md
```
If missing, the agent will still work but best practices validation will be limited.
2. **lipgloss-readme.md**
```bash
ls /Users/williamvansickleiii/charmtuitemplate/charm-tui-template/lipgloss-readme.md
```
### Customizing Paths
If your reference files are in different locations, update paths in:
- `scripts/apply_best_practices.py` (line 16: `TIPS_FILE`)
---
## Usage Examples
### Example 1: Diagnose Issues
```
User: "My Bubble Tea app is slow, diagnose issues"
Agent: [Runs diagnose_issue()]
Found 3 issues:
1. CRITICAL: Blocking HTTP request in Update() (main.go:45)
2. WARNING: Hardcoded terminal width (main.go:89)
3. INFO: Consider model tree pattern for 18 fields
[Provides fixes for each]
```
### Example 2: Check Best Practices
```
User: "Check if my TUI follows best practices"
Agent: [Runs apply_best_practices()]
Overall Score: 75/100
✅ PASS: Fast event loop
✅ PASS: Terminal recovery
⚠️ FAIL: No debug message dumping
⚠️ FAIL: No tests with teatest
INFO: No VHS demos (optional)
[Provides recommendations]
```
### Example 3: Comprehensive Analysis
```
User: "Run full analysis on ./myapp"
Agent: [Runs comprehensive_bubbletea_analysis()]
=================================================================
COMPREHENSIVE BUBBLE TEA ANALYSIS
=================================================================
Overall Health: 78/100
Summary: Good health. Some improvements recommended.
Priority Fixes (5):
🔴 CRITICAL (1):
1. [Performance] Blocking HTTP request in Update() (main.go:45)
⚠️ WARNINGS (2):
2. [Best Practices] Missing debug message dumping
3. [Layout] Hardcoded dimensions in View()
💡 INFO (2):
4. [Architecture] Consider model tree pattern
5. [Performance] Cache lipgloss styles
Estimated Fix Time: 2-4 hours
Full report saved to: ./bubbletea_analysis_report.json
```
---
## Troubleshooting
### Issue: Agent Not Activating
**Solution 1: Check Installation**
```bash
/plugin list
```
If not listed, reinstall:
```bash
/plugin marketplace add /path/to/bubbletea-maintenance
```
**Solution 2: Use Explicit Activation**
Instead of:
```
"Analyze my Bubble Tea app"
```
Try:
```
"Use the bubbletea-maintenance agent to analyze my app"
```
### Issue: "No .go files found"
**Cause**: Wrong path provided
**Solution**: Use absolute path or verify path exists:
```bash
ls /path/to/your/app
```
### Issue: "tip-bubbltea-apps.md not found"
**Impact**: Best practices validation will be limited
**Solutions**:
1. **Get the file**:
```bash
# If you have charm-tui-template
ls /Users/williamvansickleiii/charmtuitemplate/charm-tui-template/tip-bubbltea-apps.md
```
2. **Update path** in `scripts/apply_best_practices.py`:
```python
TIPS_FILE = Path("/your/custom/path/tip-bubbltea-apps.md")
```
3. **Or skip best practices**:
The other 5 functions still work without it.
### Issue: Tests Failing
**Check Python Version**:
```bash
python3 --version # Should be 3.8+
```
**Install Test Dependencies**:
```bash
pip3 install pytest
```
**Run Individual Tests**:
```bash
python3 tests/test_diagnose_issue.py
```
### Issue: Permission Denied
**Solution**: Make scripts executable:
```bash
chmod +x scripts/*.py
```
---
## Uninstallation
To remove the agent:
```bash
/plugin marketplace remove bubbletea-maintenance
```
Or manually delete the plugin directory:
```bash
rm -rf /path/to/bubbletea-maintenance
```
---
## Upgrading
### To v1.0.1+
1. **Backup your config** (if you customized paths)
2. **Remove old version**:
```bash
/plugin marketplace remove bubbletea-maintenance
```
3. **Install new version**:
```bash
cd /path/to/new/bubbletea-maintenance
/plugin marketplace add .
```
4. **Verify**:
```bash
cat VERSION # Should show new version
```
---
## Support
**Issues**: Check SKILL.md for detailed documentation
**Questions**:
- Read `references/common_issues.md` for solutions
- Check CHANGELOG.md for known limitations
---
## Next Steps
After installation:
1. **Try it out**: Analyze one of your Bubble Tea apps
2. **Read documentation**: Check references/ for guides
3. **Run tests**: Ensure everything works
4. **Customize**: Update paths if needed
---
**Built with Claude Code agent-creator on 2025-10-19**

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# bubbletea-maintenance
Expert Bubble Tea maintenance and debugging agent specializing in diagnosing issues, applying best practices, and enhancing existing Go/Bubble Tea TUI applications. Helps developers maintain, debug, and improve their terminal user interfaces built with the Bubble Tea framework.

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# Bubble Tea Maintenance & Debugging Agent
**Version**: 1.0.0
**Created**: 2025-10-19
**Type**: Maintenance & Debugging Agent
**Focus**: Existing Go/Bubble Tea TUI Applications
---
## Overview
You are an expert Bubble Tea maintenance and debugging agent specializing in diagnosing issues, applying best practices, and enhancing existing Go/Bubble Tea TUI applications. You help developers maintain, debug, and improve their terminal user interfaces built with the Bubble Tea framework.
## When to Use This Agent
This agent should be activated when users:
- Experience bugs or issues in existing Bubble Tea applications
- Want to optimize performance of their TUI
- Need to refactor or improve their Bubble Tea code
- Want to apply best practices to their codebase
- Are debugging layout or rendering issues
- Need help with Lipgloss styling problems
- Want to add features to existing Bubble Tea apps
- Have questions about Bubble Tea architecture patterns
## Activation Keywords
This agent activates on phrases like:
- "debug my bubble tea app"
- "fix this TUI issue"
- "optimize bubbletea performance"
- "why is my TUI slow"
- "refactor bubble tea code"
- "apply bubbletea best practices"
- "fix layout issues"
- "lipgloss styling problem"
- "improve my TUI"
- "bubbletea architecture help"
- "message handling issues"
- "event loop problems"
- "model tree refactoring"
## Core Capabilities
### 1. Issue Diagnosis
**Function**: `diagnose_issue(code_path, description="")`
Analyzes existing Bubble Tea code to identify common issues:
**Common Issues Detected**:
- **Slow Event Loop**: Blocking operations in Update() or View()
- **Memory Leaks**: Unreleased resources, goroutine leaks
- **Message Ordering**: Incorrect assumptions about concurrent messages
- **Layout Arithmetic**: Hardcoded dimensions, incorrect lipgloss calculations
- **Model Architecture**: Flat models that should be hierarchical
- **Terminal Recovery**: Missing panic recovery
- **Testing Gaps**: No teatest coverage
**Analysis Process**:
1. Parse Go code to extract Model, Update, View functions
2. Check for blocking operations in event loop
3. Identify hardcoded layout values
4. Analyze message handler patterns
5. Check for concurrent command usage
6. Validate terminal cleanup code
7. Generate diagnostic report with severity levels
**Output Format**:
```python
{
"issues": [
{
"severity": "CRITICAL", # CRITICAL, WARNING, INFO
"category": "performance",
"issue": "Blocking sleep in Update() function",
"location": "main.go:45",
"explanation": "time.Sleep blocks the event loop",
"fix": "Move to tea.Cmd goroutine"
}
],
"summary": "Found 3 critical issues, 5 warnings",
"health_score": 65 # 0-100
}
```
### 2. Best Practices Validation
**Function**: `apply_best_practices(code_path, tips_file)`
Validates code against the 11 expert tips from `tip-bubbltea-apps.md`:
**Tip 1: Keep Event Loop Fast**
- ✅ Check: Update() completes in < 16ms
- ✅ Check: No blocking I/O in Update() or View()
- ✅ Check: Long operations wrapped in tea.Cmd
**Tip 2: Debug Message Dumping**
- ✅ Check: Has debug message dumping capability
- ✅ Check: Uses spew or similar for message inspection
**Tip 3: Live Reload**
- ✅ Check: Development workflow supports live reload
- ✅ Check: Uses air or similar tools
**Tip 4: Receiver Methods**
- ✅ Check: Appropriate use of pointer vs value receivers
- ✅ Check: Update() uses value receiver (standard pattern)
**Tip 5: Message Ordering**
- ✅ Check: No assumptions about concurrent message order
- ✅ Check: State machine handles out-of-order messages
**Tip 6: Model Tree**
- ✅ Check: Complex apps use hierarchical models
- ✅ Check: Child models handle their own messages
**Tip 7: Layout Arithmetic**
- ✅ Check: Uses lipgloss.Height() and lipgloss.Width()
- ✅ Check: No hardcoded dimensions
**Tip 8: Terminal Recovery**
- ✅ Check: Has panic recovery with tea.EnableMouseAllMotion cleanup
- ✅ Check: Restores terminal on crash
**Tip 9: Testing with teatest**
- ✅ Check: Has teatest test coverage
- ✅ Check: Tests key interactions
**Tip 10: VHS Demos**
- ✅ Check: Has VHS demo files for documentation
**Output Format**:
```python
{
"compliance": {
"tip_1_fast_event_loop": {"status": "pass", "score": 100},
"tip_2_debug_dumping": {"status": "fail", "score": 0},
"tip_3_live_reload": {"status": "warning", "score": 50},
# ... all 11 tips
},
"overall_score": 75,
"recommendations": [
"Add debug message dumping capability",
"Replace hardcoded dimensions with lipgloss calculations"
]
}
```
### 3. Performance Debugging
**Function**: `debug_performance(code_path, profile_data="")`
Identifies performance bottlenecks in Bubble Tea applications:
**Analysis Areas**:
1. **Event Loop Profiling**
- Measure Update() execution time
- Identify slow message handlers
- Check for blocking operations
2. **View Rendering**
- Measure View() execution time
- Identify expensive string operations
- Check for unnecessary re-renders
3. **Memory Allocation**
- Identify allocation hotspots
- Check for string concatenation issues
- Validate efficient use of strings.Builder
4. **Concurrent Commands**
- Check for goroutine leaks
- Validate proper command cleanup
- Identify race conditions
**Output Format**:
```python
{
"bottlenecks": [
{
"function": "Update",
"location": "main.go:67",
"time_ms": 45,
"threshold_ms": 16,
"issue": "HTTP request blocks event loop",
"fix": "Move to tea.Cmd goroutine"
}
],
"metrics": {
"avg_update_time": "12ms",
"avg_view_time": "3ms",
"memory_allocations": 1250,
"goroutines": 8
},
"recommendations": [
"Move HTTP calls to background commands",
"Use strings.Builder for View() composition",
"Cache expensive lipgloss styles"
]
}
```
### 4. Architecture Suggestions
**Function**: `suggest_architecture(code_path, complexity_level)`
Recommends architectural improvements for Bubble Tea applications:
**Pattern Recognition**:
1. **Flat Model → Model Tree**
- Detect when single model becomes too complex
- Suggest splitting into child models
- Provide refactoring template
2. **Single View → Multi-View**
- Identify state-based view switching
- Suggest view router pattern
- Provide navigation template
3. **Monolithic → Composable**
- Detect tight coupling
- Suggest component extraction
- Provide composable model pattern
**Refactoring Templates**:
**Model Tree Pattern**:
```go
type ParentModel struct {
activeView int
listModel list.Model
formModel form.Model
viewerModel viewer.Model
}
func (m ParentModel) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
var cmd tea.Cmd
// Route to active child
switch m.activeView {
case 0:
m.listModel, cmd = m.listModel.Update(msg)
case 1:
m.formModel, cmd = m.formModel.Update(msg)
case 2:
m.viewerModel, cmd = m.viewerModel.Update(msg)
}
return m, cmd
}
```
**Output Format**:
```python
{
"current_pattern": "flat_model",
"complexity_score": 85, # 0-100, higher = more complex
"recommended_pattern": "model_tree",
"refactoring_steps": [
"Extract list functionality to separate model",
"Extract form functionality to separate model",
"Create parent router model",
"Implement message routing"
],
"code_templates": {
"parent_model": "...",
"child_models": "...",
"message_routing": "..."
}
}
```
### 5. Layout Issue Fixes
**Function**: `fix_layout_issues(code_path, description="")`
Diagnoses and fixes common Lipgloss layout problems:
**Common Layout Issues**:
1. **Hardcoded Dimensions**
```go
// ❌ BAD
content := lipgloss.NewStyle().Width(80).Height(24).Render(text)
// ✅ GOOD
termWidth, termHeight, _ := term.GetSize(int(os.Stdout.Fd()))
content := lipgloss.NewStyle().
Width(termWidth).
Height(termHeight - 2). // Leave room for status bar
Render(text)
```
2. **Incorrect Height Calculation**
```go
// ❌ BAD
availableHeight := 24 - 3 // Hardcoded
// ✅ GOOD
statusBarHeight := lipgloss.Height(m.renderStatusBar())
availableHeight := m.termHeight - statusBarHeight
```
3. **Missing Margin/Padding Accounting**
```go
// ❌ BAD
content := lipgloss.NewStyle().
Padding(2).
Width(80).
Render(text) // Text area is 76, not 80!
// ✅ GOOD
style := lipgloss.NewStyle().Padding(2)
contentWidth := 80 - style.GetHorizontalPadding()
content := style.Width(80).Render(
lipgloss.NewStyle().Width(contentWidth).Render(text)
)
```
4. **Overflow Issues**
```go
// ❌ BAD
content := longText // Can exceed terminal width
// ✅ GOOD
import "github.com/muesli/reflow/wordwrap"
content := wordwrap.String(longText, m.termWidth)
```
**Output Format**:
```python
{
"layout_issues": [
{
"type": "hardcoded_dimensions",
"location": "main.go:89",
"current_code": "Width(80).Height(24)",
"fixed_code": "Width(m.termWidth).Height(m.termHeight - statusHeight)",
"explanation": "Terminal size may vary, use dynamic sizing"
}
],
"lipgloss_improvements": [
"Use GetHorizontalPadding() for nested styles",
"Calculate available space with lipgloss.Height()",
"Handle terminal resize with tea.WindowSizeMsg"
]
}
```
### 6. Comprehensive Analysis
**Function**: `comprehensive_bubbletea_analysis(code_path)`
Performs complete health check of Bubble Tea application:
**Analysis Sections**:
1. Issue diagnosis (from diagnose_issue)
2. Best practices compliance (from apply_best_practices)
3. Performance analysis (from debug_performance)
4. Architecture recommendations (from suggest_architecture)
5. Layout validation (from fix_layout_issues)
**Output Format**:
```python
{
"overall_health": 78, # 0-100
"sections": {
"issues": {...},
"best_practices": {...},
"performance": {...},
"architecture": {...},
"layout": {...}
},
"summary": "Application is in good health with minor performance improvements needed",
"priority_fixes": [
"CRITICAL: Fix blocking operation in Update() (main.go:45)",
"WARNING: Add terminal recovery code",
"INFO: Consider refactoring to model tree pattern"
],
"estimated_fix_time": "2-4 hours"
}
```
## Workflow for Users
### Typical Usage Flow:
1. **User reports issue**: "My TUI is slow when typing"
2. **Agent diagnoses**: Runs `debug_performance()` to identify bottleneck
3. **Agent explains**: "Found blocking regex operation in Update() taking 45ms"
4. **Agent fixes**: Provides code to move operation to tea.Cmd
5. **Agent validates**: Runs `comprehensive_analysis()` to confirm fix
### Example Session:
```
User: "My log viewer is lagging when I scroll"
Agent: Let me analyze your code...
[Runs debug_performance()]
Found the issue! Your View() function is:
1. Re-reading the entire log file on every render (200ms)
2. Processing all lines instead of visible viewport
Here's the fix:
- Cache log lines in model, only update when file changes
- Use viewport.Model to handle scrolling efficiently
- Only render visible lines (viewport.YOffset to YOffset + Height)
[Provides code diff]
This should reduce render time from 200ms to ~2ms.
```
## Technical Knowledge Base
### Bubble Tea Architecture
**The Elm Architecture**:
```
┌─────────────┐
│ Model │ ← Your application state
└─────────────┘
↓
┌─────────────┐
│ Update │ ← Message handler (events → state changes)
└─────────────┘
↓
┌─────────────┐
│ View │ ← Render function (state → string)
└─────────────┘
↓
Terminal
```
**Event Loop**:
```go
1. User presses key → tea.KeyMsg
2. Update(tea.KeyMsg) → new model + tea.Cmd
3. tea.Cmd executes → returns new msg
4. Update(new msg) → new model
5. View() renders new model → terminal
```
**Performance Rule**: Update() and View() must be FAST (<16ms for 60fps)
### Common Patterns
**1. Loading Data Pattern**:
```go
type model struct {
loading bool
data []string
err error
}
func loadData() tea.Msg {
// This runs in goroutine, not in event loop
data, err := fetchData()
return dataLoadedMsg{data: data, err: err}
}
func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
switch msg := msg.(type) {
case tea.KeyMsg:
if msg.String() == "r" {
m.loading = true
return m, loadData // Return command, don't block
}
case dataLoadedMsg:
m.loading = false
m.data = msg.data
m.err = msg.err
}
return m, nil
}
```
**2. Model Tree Pattern**:
```go
type appModel struct {
activeView int
// Child models manage themselves
listView listModel
detailView detailModel
searchView searchModel
}
func (m appModel) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
// Global keys (navigation)
if key, ok := msg.(tea.KeyMsg); ok {
switch key.String() {
case "1": m.activeView = 0; return m, nil
case "2": m.activeView = 1; return m, nil
case "3": m.activeView = 2; return m, nil
}
}
// Route to active child
var cmd tea.Cmd
switch m.activeView {
case 0:
m.listView, cmd = m.listView.Update(msg)
case 1:
m.detailView, cmd = m.detailView.Update(msg)
case 2:
m.searchView, cmd = m.searchView.Update(msg)
}
return m, cmd
}
func (m appModel) View() string {
switch m.activeView {
case 0: return m.listView.View()
case 1: return m.detailView.View()
case 2: return m.searchView.View()
}
return ""
}
```
**3. Message Passing Between Models**:
```go
type itemSelectedMsg struct {
itemID string
}
// Parent routes message to all children
func (m appModel) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
switch msg := msg.(type) {
case itemSelectedMsg:
// List sent this, detail needs to know
m.detailView.LoadItem(msg.itemID)
m.activeView = 1 // Switch to detail view
}
// Update all children
var cmds []tea.Cmd
m.listView, cmd := m.listView.Update(msg)
cmds = append(cmds, cmd)
m.detailView, cmd = m.detailView.Update(msg)
cmds = append(cmds, cmd)
return m, tea.Batch(cmds...)
}
```
**4. Dynamic Layout Pattern**:
```go
func (m model) View() string {
// Always use current terminal size
headerHeight := lipgloss.Height(m.renderHeader())
footerHeight := lipgloss.Height(m.renderFooter())
availableHeight := m.termHeight - headerHeight - footerHeight
content := lipgloss.NewStyle().
Width(m.termWidth).
Height(availableHeight).
Render(m.renderContent())
return lipgloss.JoinVertical(
lipgloss.Left,
m.renderHeader(),
content,
m.renderFooter(),
)
}
```
## Integration with Local Resources
This agent uses local knowledge sources:
### Primary Reference
**`/Users/williamvansickleiii/charmtuitemplate/charm-tui-template/tip-bubbltea-apps.md`**
- 11 expert tips from leg100.github.io
- Core best practices validation
### Example Codebases
**`/Users/williamvansickleiii/charmtuitemplate/vinw/`**
- Real-world Bubble Tea application
- Pattern examples
**`/Users/williamvansickleiii/charmtuitemplate/charm-examples-inventory/`**
- Collection of Charm examples
- Component usage patterns
### Styling Reference
**`/Users/williamvansickleiii/charmtuitemplate/charm-tui-template/lipgloss-readme.md`**
- Lipgloss API documentation
- Styling patterns
## Troubleshooting Guide
### Issue: Slow/Laggy TUI
**Diagnosis Steps**:
1. Profile Update() execution time
2. Profile View() execution time
3. Check for blocking I/O
4. Check for expensive string operations
**Common Fixes**:
- Move I/O to tea.Cmd goroutines
- Use strings.Builder in View()
- Cache expensive lipgloss styles
- Reduce re-renders with smart diffing
### Issue: Terminal Gets Messed Up
**Diagnosis Steps**:
1. Check for panic recovery
2. Check for tea.EnableMouseAllMotion cleanup
3. Validate proper program.Run() usage
**Fix Template**:
```go
func main() {
defer func() {
if r := recover(); r != nil {
// Restore terminal
tea.DisableMouseAllMotion()
tea.ShowCursor()
fmt.Println("Panic:", r)
os.Exit(1)
}
}()
p := tea.NewProgram(initialModel())
if err := p.Start(); err != nil {
fmt.Println("Error:", err)
os.Exit(1)
}
}
```
### Issue: Layout Overflow/Clipping
**Diagnosis Steps**:
1. Check for hardcoded dimensions
2. Check lipgloss padding/margin accounting
3. Verify terminal resize handling
**Fix Checklist**:
- [ ] Use dynamic terminal size from tea.WindowSizeMsg
- [ ] Use lipgloss.Height() and lipgloss.Width() for calculations
- [ ] Account for padding with GetHorizontalPadding()/GetVerticalPadding()
- [ ] Use wordwrap for long text
- [ ] Test with small terminal sizes
### Issue: Messages Arriving Out of Order
**Diagnosis Steps**:
1. Check for concurrent tea.Cmd usage
2. Check for state assumptions about message order
3. Validate state machine handles any order
**Fix**:
- Use state machine with explicit states
- Don't assume operation A completes before B
- Use message types to track operation identity
```go
type model struct {
operations map[string]bool // Track concurrent ops
}
type operationStartMsg struct { id string }
type operationDoneMsg struct { id string, result string }
func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
switch msg := msg.(type) {
case operationStartMsg:
m.operations[msg.id] = true
case operationDoneMsg:
delete(m.operations, msg.id)
// Handle result
}
return m, nil
}
```
## Validation and Quality Checks
After applying fixes, the agent validates:
1. ✅ Code compiles successfully
2. ✅ No new issues introduced
3. ✅ Performance improved (if applicable)
4. ✅ Best practices compliance increased
5. ✅ Tests pass (if present)
## Limitations
This agent focuses on maintenance and debugging, NOT:
- Designing new TUIs from scratch (use bubbletea-designer for that)
- Non-Bubble Tea Go code
- Terminal emulator issues
- Operating system specific problems
## Success Metrics
A successful maintenance session results in:
- ✅ Issue identified and explained clearly
- ✅ Fix provided with code examples
- ✅ Best practices applied
- ✅ Performance improved (if applicable)
- ✅ User understands the fix and can apply it
## Version History
**v1.0.0** (2025-10-19)
- Initial release
- 6 core analysis functions
- Integration with tip-bubbltea-apps.md
- Comprehensive diagnostic capabilities
- Layout issue detection and fixing
- Performance profiling
- Architecture recommendations
---
**Built with Claude Code agent-creator on 2025-10-19**

1
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# Common Bubble Tea Issues and Solutions
Reference guide for diagnosing and fixing common problems in Bubble Tea applications.
## Performance Issues
### Issue: Slow/Laggy UI
**Symptoms:**
- UI freezes when typing
- Delayed response to key presses
- Stuttering animations
**Common Causes:**
1. **Blocking Operations in Update()**
```go
// ❌ BAD
func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
switch msg := msg.(type) {
case tea.KeyMsg:
data := http.Get("https://api.example.com") // BLOCKS!
m.data = data
}
return m, nil
}
// ✅ GOOD
func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
switch msg := msg.(type) {
case tea.KeyMsg:
return m, fetchDataCmd // Non-blocking
case dataFetchedMsg:
m.data = msg.data
}
return m, nil
}
func fetchDataCmd() tea.Msg {
data := http.Get("https://api.example.com") // Runs in goroutine
return dataFetchedMsg{data: data}
}
```
2. **Heavy Processing in View()**
```go
// ❌ BAD
func (m model) View() string {
content, _ := os.ReadFile("large_file.txt") // EVERY RENDER!
return string(content)
}
// ✅ GOOD
type model struct {
cachedContent string
}
func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
switch msg := msg.(type) {
case fileLoadedMsg:
m.cachedContent = msg.content // Cache it
}
return m, nil
}
func (m model) View() string {
return m.cachedContent // Just return cached data
}
```
3. **String Concatenation with +**
```go
// ❌ BAD - Allocates many temp strings
func (m model) View() string {
s := ""
for _, line := range m.lines {
s += line + "\\n" // Expensive!
}
return s
}
// ✅ GOOD - Single allocation
func (m model) View() string {
var b strings.Builder
for _, line := range m.lines {
b.WriteString(line)
b.WriteString("\\n")
}
return b.String()
}
```
**Performance Target:** Update() should complete in <16ms (60 FPS)
---
## Layout Issues
### Issue: Content Overflows Terminal
**Symptoms:**
- Text wraps unexpectedly
- Content gets clipped
- Layout breaks on different terminal sizes
**Common Causes:**
1. **Hardcoded Dimensions**
```go
// ❌ BAD
content := lipgloss.NewStyle().
Width(80). // What if terminal is 120 wide?
Height(24). // What if terminal is 40 tall?
Render(text)
// ✅ GOOD
type model struct {
termWidth int
termHeight int
}
func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
switch msg := msg.(type) {
case tea.WindowSizeMsg:
m.termWidth = msg.Width
m.termHeight = msg.Height
}
return m, nil
}
func (m model) View() string {
content := lipgloss.NewStyle().
Width(m.termWidth).
Height(m.termHeight - 2). // Leave room for status bar
Render(text)
return content
}
```
2. **Not Accounting for Padding/Borders**
```go
// ❌ BAD
style := lipgloss.NewStyle().
Padding(2).
Border(lipgloss.RoundedBorder()).
Width(80)
content := style.Render(text)
// Text area is 76 (80 - 2*2 padding), NOT 80!
// ✅ GOOD
style := lipgloss.NewStyle().
Padding(2).
Border(lipgloss.RoundedBorder())
contentWidth := 80 - style.GetHorizontalPadding() - style.GetHorizontalBorderSize()
innerContent := lipgloss.NewStyle().Width(contentWidth).Render(text)
result := style.Width(80).Render(innerContent)
```
3. **Manual Height Calculations**
```go
// ❌ BAD - Magic numbers
availableHeight := 24 - 3 // Where did 3 come from?
// ✅ GOOD - Calculated
headerHeight := lipgloss.Height(m.renderHeader())
footerHeight := lipgloss.Height(m.renderFooter())
availableHeight := m.termHeight - headerHeight - footerHeight
```
---
## Message Handling Issues
### Issue: Messages Arrive Out of Order
**Symptoms:**
- State becomes inconsistent
- Operations complete in wrong order
- Race conditions
**Cause:** Concurrent tea.Cmd messages aren't guaranteed to arrive in order
**Solution: Use State Tracking**
```go
// ❌ BAD - Assumes order
func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
switch msg := msg.(type) {
case tea.KeyMsg:
if msg.String() == "r" {
return m, tea.Batch(
fetchUsersCmd, // Might complete second
fetchPostsCmd, // Might complete first
)
}
case usersLoadedMsg:
m.users = msg.users
case postsLoadedMsg:
m.posts = msg.posts
// Assumes users are loaded! May not be!
}
return m, nil
}
// ✅ GOOD - Track operations
type model struct {
operations map[string]bool
users []User
posts []Post
}
func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
switch msg := msg.(type) {
case tea.KeyMsg:
if msg.String() == "r" {
m.operations["users"] = true
m.operations["posts"] = true
return m, tea.Batch(fetchUsersCmd, fetchPostsCmd)
}
case usersLoadedMsg:
m.users = msg.users
delete(m.operations, "users")
return m, m.checkAllLoaded()
case postsLoadedMsg:
m.posts = msg.posts
delete(m.operations, "posts")
return m, m.checkAllLoaded()
}
return m, nil
}
func (m model) checkAllLoaded() tea.Cmd {
if len(m.operations) == 0 {
// All operations complete, can proceed
return m.processData
}
return nil
}
```
---
## Terminal Recovery Issues
### Issue: Terminal Gets Messed Up After Crash
**Symptoms:**
- Cursor disappears
- Mouse mode still active
- Terminal looks corrupted
**Solution: Add Panic Recovery**
```go
func main() {
defer func() {
if r := recover(); r != nil {
// Restore terminal state
tea.DisableMouseAllMotion()
tea.ShowCursor()
fmt.Printf("Panic: %v\\n", r)
debug.PrintStack()
os.Exit(1)
}
}()
p := tea.NewProgram(initialModel())
if err := p.Start(); err != nil {
fmt.Printf("Error: %v\\n", err)
os.Exit(1)
}
}
```
---
## Architecture Issues
### Issue: Model Too Complex
**Symptoms:**
- Model struct has 20+ fields
- Update() is hundreds of lines
- Hard to maintain
**Solution: Use Model Tree Pattern**
```go
// ❌ BAD - Flat model
type model struct {
// List view fields
listItems []string
listCursor int
listFilter string
// Detail view fields
detailItem string
detailHTML string
detailScroll int
// Search view fields
searchQuery string
searchResults []string
searchCursor int
// ... 15 more fields
}
// ✅ GOOD - Model tree
type appModel struct {
activeView int
listView listViewModel
detailView detailViewModel
searchView searchViewModel
}
type listViewModel struct {
items []string
cursor int
filter string
}
func (m listViewModel) Update(msg tea.Msg) (listViewModel, tea.Cmd) {
// Only handles list-specific messages
switch msg := msg.(type) {
case tea.KeyMsg:
switch msg.String() {
case "up":
m.cursor--
case "down":
m.cursor++
case "enter":
return m, func() tea.Msg {
return itemSelectedMsg{itemID: m.items[m.cursor]}
}
}
}
return m, nil
}
// Parent routes messages
func (m appModel) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
// Handle global messages
switch msg := msg.(type) {
case itemSelectedMsg:
m.detailView.LoadItem(msg.itemID)
m.activeView = 1 // Switch to detail
return m, nil
}
// Route to active child
var cmd tea.Cmd
switch m.activeView {
case 0:
m.listView, cmd = m.listView.Update(msg)
case 1:
m.detailView, cmd = m.detailView.Update(msg)
case 2:
m.searchView, cmd = m.searchView.Update(msg)
}
return m, cmd
}
```
---
## Memory Issues
### Issue: Memory Leak / Growing Memory Usage
**Symptoms:**
- Memory usage increases over time
- Never gets garbage collected
**Common Causes:**
1. **Goroutine Leaks**
```go
// ❌ BAD - Goroutines never stop
func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
switch msg := msg.(type) {
case tea.KeyMsg:
if msg.String() == "s" {
return m, func() tea.Msg {
go func() {
for { // INFINITE LOOP!
time.Sleep(time.Second)
// Do something
}
}()
return nil
}
}
}
return m, nil
}
// ✅ GOOD - Use context for cancellation
type model struct {
ctx context.Context
cancel context.CancelFunc
}
func initialModel() model {
ctx, cancel := context.WithCancel(context.Background())
return model{ctx: ctx, cancel: cancel}
}
func worker(ctx context.Context) tea.Msg {
for {
select {
case <-ctx.Done():
return nil // Stop gracefully
case <-time.After(time.Second):
// Do work
}
}
}
func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
switch msg := msg.(type) {
case tea.KeyMsg:
if msg.String() == "q" {
m.cancel() // Stop all workers
return m, tea.Quit
}
}
return m, nil
}
```
2. **Unreleased Resources**
```go
// ❌ BAD
func loadFile() tea.Msg {
file, _ := os.Open("data.txt")
// Never closed!
data, _ := io.ReadAll(file)
return dataMsg{data: data}
}
// ✅ GOOD
func loadFile() tea.Msg {
file, err := os.Open("data.txt")
if err != nil {
return errorMsg{err: err}
}
defer file.Close() // Always close
data, err := io.ReadAll(file)
return dataMsg{data: data, err: err}
}
```
---
## Testing Issues
### Issue: Hard to Test TUI
**Solution: Use teatest**
```go
import (
"testing"
tea "github.com/charmbracelet/bubbletea"
"github.com/charmbracelet/bubbletea/teatest"
)
func TestNavigation(t *testing.T) {
m := initialModel()
// Create test program
tm := teatest.NewTestModel(t, m)
// Send key presses
tm.Send(tea.KeyMsg{Type: tea.KeyDown})
tm.Send(tea.KeyMsg{Type: tea.KeyDown})
// Wait for program to process
teatest.WaitFor(
t, tm.Output(),
func(bts []byte) bool {
return bytes.Contains(bts, []byte("Item 2"))
},
teatest.WithCheckInterval(time.Millisecond*100),
teatest.WithDuration(time.Second*3),
)
// Verify state
finalModel := tm.FinalModel(t).(model)
if finalModel.cursor != 2 {
t.Errorf("Expected cursor at 2, got %d", finalModel.cursor)
}
}
```
---
## Debugging Tips
### Enable Message Dumping
```go
import "github.com/davecgh/go-spew/spew"
type model struct {
dump io.Writer
}
func main() {
// Create debug file
f, _ := os.Create("debug.log")
defer f.Close()
m := model{dump: f}
p := tea.NewProgram(m)
p.Start()
}
func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
// Dump every message
if m.dump != nil {
spew.Fdump(m.dump, msg)
}
// ... rest of Update()
return m, nil
}
```
### Live Reload with Air
`.air.toml`:
```toml
[build]
cmd = "go build -o ./tmp/main ."
bin = "tmp/main"
include_ext = ["go"]
exclude_dir = ["tmp"]
delay = 1000
```
Run: `air`
---
## Quick Checklist
Before deploying your Bubble Tea app:
- [ ] No blocking operations in Update() or View()
- [ ] Terminal resize handled (tea.WindowSizeMsg)
- [ ] Panic recovery with terminal cleanup
- [ ] Dynamic layout (no hardcoded dimensions)
- [ ] Lipgloss padding/borders accounted for
- [ ] String operations use strings.Builder
- [ ] Goroutines have cancellation (context)
- [ ] Resources properly closed (defer)
- [ ] State machine handles message ordering
- [ ] Tests with teatest for key interactions
---
**Generated for Bubble Tea Maintenance Agent v1.0.0**

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scripts/apply_best_practices.py Normal file
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#!/usr/bin/env python3
"""
Apply Bubble Tea best practices validation.
Validates code against 11 expert tips from tip-bubbltea-apps.md.
"""
import os
import re
import json
from pathlib import Path
from typing import Dict, List, Any, Tuple
# Path to tips reference
TIPS_FILE = Path("/Users/williamvansickleiii/charmtuitemplate/charm-tui-template/tip-bubbltea-apps.md")
def apply_best_practices(code_path: str, tips_file: str = None) -> Dict[str, Any]:
"""
Validate Bubble Tea code against best practices from tip-bubbltea-apps.md.
Args:
code_path: Path to Go file or directory
tips_file: Optional path to tips file (defaults to standard location)
Returns:
Dictionary containing:
- compliance: Status for each of 11 tips
- overall_score: 0-100
- recommendations: List of improvements
- validation: Validation report
"""
path = Path(code_path)
if not path.exists():
return {
"error": f"Path not found: {code_path}",
"validation": {"status": "error", "summary": "Invalid path"}
}
# Collect all .go files
go_files = []
if path.is_file():
if path.suffix == '.go':
go_files = [path]
else:
go_files = list(path.glob('**/*.go'))
if not go_files:
return {
"error": "No .go files found",
"validation": {"status": "error", "summary": "No Go files"}
}
# Read all Go code
all_content = ""
for go_file in go_files:
try:
all_content += go_file.read_text() + "\n"
except Exception:
pass
# Check each tip
compliance = {}
compliance["tip_1_fast_event_loop"] = _check_tip_1_fast_event_loop(all_content, go_files)
compliance["tip_2_debug_dumping"] = _check_tip_2_debug_dumping(all_content, go_files)
compliance["tip_3_live_reload"] = _check_tip_3_live_reload(path)
compliance["tip_4_receiver_methods"] = _check_tip_4_receiver_methods(all_content, go_files)
compliance["tip_5_message_ordering"] = _check_tip_5_message_ordering(all_content, go_files)
compliance["tip_6_model_tree"] = _check_tip_6_model_tree(all_content, go_files)
compliance["tip_7_layout_arithmetic"] = _check_tip_7_layout_arithmetic(all_content, go_files)
compliance["tip_8_terminal_recovery"] = _check_tip_8_terminal_recovery(all_content, go_files)
compliance["tip_9_teatest"] = _check_tip_9_teatest(path)
compliance["tip_10_vhs"] = _check_tip_10_vhs(path)
compliance["tip_11_resources"] = {"status": "info", "score": 100, "message": "Check leg100.github.io for more tips"}
# Calculate overall score
scores = [tip["score"] for tip in compliance.values()]
overall_score = int(sum(scores) / len(scores))
# Generate recommendations
recommendations = []
for tip_name, tip_data in compliance.items():
if tip_data["status"] == "fail":
recommendations.append(tip_data.get("recommendation", f"Implement {tip_name}"))
# Summary
if overall_score >= 90:
summary = f"✅ Excellent! Score: {overall_score}/100. Following best practices."
elif overall_score >= 70:
summary = f"✓ Good. Score: {overall_score}/100. Some improvements possible."
elif overall_score >= 50:
summary = f"⚠️ Fair. Score: {overall_score}/100. Several best practices missing."
else:
summary = f"❌ Poor. Score: {overall_score}/100. Many best practices not followed."
# Validation
validation = {
"status": "pass" if overall_score >= 70 else "warning" if overall_score >= 50 else "fail",
"summary": summary,
"checks": {
"fast_event_loop": compliance["tip_1_fast_event_loop"]["status"] == "pass",
"has_debugging": compliance["tip_2_debug_dumping"]["status"] == "pass",
"proper_layout": compliance["tip_7_layout_arithmetic"]["status"] == "pass",
"has_recovery": compliance["tip_8_terminal_recovery"]["status"] == "pass"
}
}
return {
"compliance": compliance,
"overall_score": overall_score,
"recommendations": recommendations,
"summary": summary,
"files_analyzed": len(go_files),
"validation": validation
}
def _check_tip_1_fast_event_loop(content: str, files: List[Path]) -> Dict[str, Any]:
"""Tip 1: Keep the event loop fast."""
# Check for blocking operations in Update() or View()
blocking_patterns = [
r'\btime\.Sleep\s*\(',
r'\bhttp\.(Get|Post|Do)\s*\(',
r'\bos\.Open\s*\(',
r'\bio\.ReadAll\s*\(',
r'\bexec\.Command\([^)]+\)\.Run\(\)',
]
has_blocking = any(re.search(pattern, content) for pattern in blocking_patterns)
has_tea_cmd = bool(re.search(r'tea\.Cmd', content))
if has_blocking and not has_tea_cmd:
return {
"status": "fail",
"score": 0,
"message": "Blocking operations found in event loop without tea.Cmd",
"recommendation": "Move blocking operations to tea.Cmd goroutines",
"explanation": "Blocking ops in Update()/View() freeze the UI. Use tea.Cmd for I/O."
}
elif has_blocking and has_tea_cmd:
return {
"status": "warning",
"score": 50,
"message": "Blocking operations present but tea.Cmd is used",
"recommendation": "Verify all blocking ops are in tea.Cmd, not Update()/View()",
"explanation": "Review code to ensure blocking operations are properly wrapped"
}
else:
return {
"status": "pass",
"score": 100,
"message": "No blocking operations detected in event loop",
"explanation": "Event loop appears to be non-blocking"
}
def _check_tip_2_debug_dumping(content: str, files: List[Path]) -> Dict[str, Any]:
"""Tip 2: Dump messages to a file for debugging."""
has_spew = bool(re.search(r'github\.com/davecgh/go-spew', content))
has_debug_write = bool(re.search(r'(dump|debug|log)\s+io\.Writer', content))
has_fmt_fprintf = bool(re.search(r'fmt\.Fprintf', content))
if has_spew or has_debug_write:
return {
"status": "pass",
"score": 100,
"message": "Debug message dumping capability detected",
"explanation": "Using spew or debug writer for message inspection"
}
elif has_fmt_fprintf:
return {
"status": "warning",
"score": 60,
"message": "Basic logging present, but no structured message dumping",
"recommendation": "Add spew.Fdump for detailed message inspection",
"explanation": "fmt.Fprintf works but spew provides better message structure"
}
else:
return {
"status": "fail",
"score": 0,
"message": "No debug message dumping detected",
"recommendation": "Add message dumping with go-spew:\n" +
"import \"github.com/davecgh/go-spew/spew\"\n" +
"type model struct { dump io.Writer }\n" +
"func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {\n" +
" if m.dump != nil { spew.Fdump(m.dump, msg) }\n" +
" // ... rest of Update()\n" +
"}",
"explanation": "Message dumping helps debug complex message flows"
}
def _check_tip_3_live_reload(path: Path) -> Dict[str, Any]:
"""Tip 3: Live reload code changes."""
# Check for air config or similar
has_air_config = (path / ".air.toml").exists()
has_makefile_watch = False
if (path / "Makefile").exists():
makefile = (path / "Makefile").read_text()
has_makefile_watch = bool(re.search(r'watch:|live:', makefile))
if has_air_config:
return {
"status": "pass",
"score": 100,
"message": "Live reload configured with air",
"explanation": "Found .air.toml configuration"
}
elif has_makefile_watch:
return {
"status": "pass",
"score": 100,
"message": "Live reload configured in Makefile",
"explanation": "Found watch/live target in Makefile"
}
else:
return {
"status": "info",
"score": 100,
"message": "No live reload detected (optional)",
"recommendation": "Consider adding air for live reload during development",
"explanation": "Live reload improves development speed but is optional"
}
def _check_tip_4_receiver_methods(content: str, files: List[Path]) -> Dict[str, Any]:
"""Tip 4: Use pointer vs value receivers judiciously."""
# Check Update() receiver type (should be value receiver)
update_value_receiver = bool(re.search(r'func\s+\(m\s+\w+\)\s+Update\s*\(', content))
update_pointer_receiver = bool(re.search(r'func\s+\(m\s+\*\w+\)\s+Update\s*\(', content))
if update_pointer_receiver:
return {
"status": "warning",
"score": 60,
"message": "Update() uses pointer receiver (uncommon pattern)",
"recommendation": "Consider value receiver for Update() (standard pattern)",
"explanation": "Value receiver is standard for Update() in Bubble Tea"
}
elif update_value_receiver:
return {
"status": "pass",
"score": 100,
"message": "Update() uses value receiver (correct)",
"explanation": "Following standard Bubble Tea pattern"
}
else:
return {
"status": "info",
"score": 100,
"message": "No Update() method found or unable to detect",
"explanation": "Could not determine receiver type"
}
def _check_tip_5_message_ordering(content: str, files: List[Path]) -> Dict[str, Any]:
"""Tip 5: Messages from concurrent commands not guaranteed in order."""
has_batch = bool(re.search(r'tea\.Batch\s*\(', content))
has_concurrent_cmds = bool(re.search(r'go\s+func\s*\(', content))
has_state_tracking = bool(re.search(r'type\s+\w*State\s+(int|string)', content)) or \
bool(re.search(r'operations\s+map\[string\]', content))
if (has_batch or has_concurrent_cmds) and not has_state_tracking:
return {
"status": "warning",
"score": 50,
"message": "Concurrent commands without explicit state tracking",
"recommendation": "Add state machine to track concurrent operations",
"explanation": "tea.Batch messages arrive in unpredictable order"
}
elif has_batch or has_concurrent_cmds:
return {
"status": "pass",
"score": 100,
"message": "Concurrent commands with state tracking",
"explanation": "Proper handling of message ordering"
}
else:
return {
"status": "pass",
"score": 100,
"message": "No concurrent commands detected",
"explanation": "Message ordering is deterministic"
}
def _check_tip_6_model_tree(content: str, files: List[Path]) -> Dict[str, Any]:
"""Tip 6: Build a tree of models for complex apps."""
# Count model fields
model_match = re.search(r'type\s+(\w*[Mm]odel)\s+struct\s*\{([^}]+)\}', content, re.DOTALL)
if not model_match:
return {
"status": "info",
"score": 100,
"message": "No model struct found",
"explanation": "Could not analyze model structure"
}
model_body = model_match.group(2)
field_count = len([line for line in model_body.split('\n') if line.strip() and not line.strip().startswith('//')])
# Check for child models
has_child_models = bool(re.search(r'\w+Model\s+\w+Model', content))
if field_count > 20 and not has_child_models:
return {
"status": "warning",
"score": 40,
"message": f"Large model ({field_count} fields) without child models",
"recommendation": "Consider refactoring to model tree pattern",
"explanation": "Large models are hard to maintain. Split into child models."
}
elif field_count > 15 and not has_child_models:
return {
"status": "info",
"score": 70,
"message": f"Medium model ({field_count} fields)",
"recommendation": "Consider model tree if complexity increases",
"explanation": "Model is getting large, monitor complexity"
}
elif has_child_models:
return {
"status": "pass",
"score": 100,
"message": "Using model tree pattern with child models",
"explanation": "Good architecture for complex apps"
}
else:
return {
"status": "pass",
"score": 100,
"message": f"Simple model ({field_count} fields)",
"explanation": "Model size is appropriate"
}
def _check_tip_7_layout_arithmetic(content: str, files: List[Path]) -> Dict[str, Any]:
"""Tip 7: Layout arithmetic is error-prone."""
uses_lipgloss = bool(re.search(r'github\.com/charmbracelet/lipgloss', content))
has_lipgloss_helpers = bool(re.search(r'lipgloss\.(Height|Width|GetVertical|GetHorizontal)', content))
has_hardcoded_dimensions = bool(re.search(r'\.(Width|Height)\s*\(\s*\d{2,}\s*\)', content))
if uses_lipgloss and has_lipgloss_helpers and not has_hardcoded_dimensions:
return {
"status": "pass",
"score": 100,
"message": "Using lipgloss helpers for dynamic layout",
"explanation": "Correct use of lipgloss.Height()/Width()"
}
elif uses_lipgloss and has_hardcoded_dimensions:
return {
"status": "warning",
"score": 40,
"message": "Hardcoded dimensions detected",
"recommendation": "Use lipgloss.Height() and lipgloss.Width() for calculations",
"explanation": "Hardcoded dimensions don't adapt to terminal size"
}
elif uses_lipgloss:
return {
"status": "warning",
"score": 60,
"message": "Using lipgloss but unclear if using helpers",
"recommendation": "Use lipgloss.Height() and lipgloss.Width() for layout",
"explanation": "Avoid manual height/width calculations"
}
else:
return {
"status": "info",
"score": 100,
"message": "Not using lipgloss",
"explanation": "Layout tip applies when using lipgloss"
}
def _check_tip_8_terminal_recovery(content: str, files: List[Path]) -> Dict[str, Any]:
"""Tip 8: Recover your terminal after panics."""
has_defer_recover = bool(re.search(r'defer\s+func\s*\(\s*\)\s*\{[^}]*recover\(\)', content, re.DOTALL))
has_main = bool(re.search(r'func\s+main\s*\(\s*\)', content))
has_disable_mouse = bool(re.search(r'tea\.DisableMouseAllMotion', content))
if has_main and has_defer_recover and has_disable_mouse:
return {
"status": "pass",
"score": 100,
"message": "Panic recovery with terminal cleanup",
"explanation": "Proper defer recover() with DisableMouseAllMotion"
}
elif has_main and has_defer_recover:
return {
"status": "warning",
"score": 70,
"message": "Panic recovery but missing DisableMouseAllMotion",
"recommendation": "Add tea.DisableMouseAllMotion() in panic handler",
"explanation": "Need to cleanup mouse mode on panic"
}
elif has_main:
return {
"status": "fail",
"score": 0,
"message": "Missing panic recovery in main()",
"recommendation": "Add defer recover() with terminal cleanup",
"explanation": "Panics can leave terminal in broken state"
}
else:
return {
"status": "info",
"score": 100,
"message": "No main() found (library code?)",
"explanation": "Recovery applies to main applications"
}
def _check_tip_9_teatest(path: Path) -> Dict[str, Any]:
"""Tip 9: Use teatest for end-to-end tests."""
# Look for test files using teatest
test_files = list(path.glob('**/*_test.go'))
has_teatest = False
for test_file in test_files:
try:
content = test_file.read_text()
if 'teatest' in content or 'tea/teatest' in content:
has_teatest = True
break
except Exception:
pass
if has_teatest:
return {
"status": "pass",
"score": 100,
"message": "Using teatest for testing",
"explanation": "Found teatest in test files"
}
elif test_files:
return {
"status": "warning",
"score": 60,
"message": "Has tests but not using teatest",
"recommendation": "Consider using teatest for TUI integration tests",
"explanation": "teatest enables end-to-end TUI testing"
}
else:
return {
"status": "fail",
"score": 0,
"message": "No tests found",
"recommendation": "Add teatest tests for key interactions",
"explanation": "Testing improves reliability"
}
def _check_tip_10_vhs(path: Path) -> Dict[str, Any]:
"""Tip 10: Use VHS to record demos."""
# Look for .tape files (VHS)
vhs_files = list(path.glob('**/*.tape'))
if vhs_files:
return {
"status": "pass",
"score": 100,
"message": f"Found {len(vhs_files)} VHS demo file(s)",
"explanation": "Using VHS for documentation"
}
else:
return {
"status": "info",
"score": 100,
"message": "No VHS demos found (optional)",
"recommendation": "Consider adding VHS demos for documentation",
"explanation": "VHS creates great animated demos but is optional"
}
def validate_best_practices(result: Dict[str, Any]) -> Dict[str, Any]:
"""Validate best practices result."""
if 'error' in result:
return {"status": "error", "summary": result['error']}
overall_score = result.get('overall_score', 0)
status = "pass" if overall_score >= 70 else "warning" if overall_score >= 50 else "fail"
return {
"status": status,
"summary": result.get('summary', 'Best practices check complete'),
"score": overall_score,
"valid": True
}
if __name__ == "__main__":
import sys
if len(sys.argv) < 2:
print("Usage: apply_best_practices.py <code_path> [tips_file]")
sys.exit(1)
code_path = sys.argv[1]
tips_file = sys.argv[2] if len(sys.argv) > 2 else None
result = apply_best_practices(code_path, tips_file)
print(json.dumps(result, indent=2))

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scripts/comprehensive_bubbletea_analysis.py Normal file
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#!/usr/bin/env python3
"""
Comprehensive Bubble Tea application analysis.
Orchestrates all analysis functions for complete health check.
"""
import sys
import json
from pathlib import Path
from typing import Dict, List, Any
# Import all analysis functions
sys.path.insert(0, str(Path(__file__).parent))
from diagnose_issue import diagnose_issue
from apply_best_practices import apply_best_practices
from debug_performance import debug_performance
from suggest_architecture import suggest_architecture
from fix_layout_issues import fix_layout_issues
def comprehensive_bubbletea_analysis(code_path: str, detail_level: str = "standard") -> Dict[str, Any]:
"""
Perform complete health check of Bubble Tea application.
Args:
code_path: Path to Go file or directory containing Bubble Tea code
detail_level: "quick", "standard", or "deep"
Returns:
Dictionary containing:
- overall_health: 0-100 score
- sections: Results from each analysis function
- summary: Executive summary
- priority_fixes: Ordered list of critical/high-priority issues
- estimated_fix_time: Time estimate for addressing issues
- validation: Overall validation report
"""
path = Path(code_path)
if not path.exists():
return {
"error": f"Path not found: {code_path}",
"validation": {"status": "error", "summary": "Invalid path"}
}
print(f"\n{'='*70}")
print(f"COMPREHENSIVE BUBBLE TEA ANALYSIS")
print(f"{'='*70}")
print(f"Analyzing: {path}")
print(f"Detail level: {detail_level}\n")
sections = {}
# Section 1: Issue Diagnosis
print("🔍 [1/5] Diagnosing issues...")
try:
sections['issues'] = diagnose_issue(str(path))
print(f" ✓ Found {len(sections['issues'].get('issues', []))} issue(s)")
except Exception as e:
sections['issues'] = {"error": str(e)}
print(f" ✗ Error: {e}")
# Section 2: Best Practices Compliance
print("📋 [2/5] Checking best practices...")
try:
sections['best_practices'] = apply_best_practices(str(path))
score = sections['best_practices'].get('overall_score', 0)
print(f" ✓ Score: {score}/100")
except Exception as e:
sections['best_practices'] = {"error": str(e)}
print(f" ✗ Error: {e}")
# Section 3: Performance Analysis
print("⚡ [3/5] Analyzing performance...")
try:
sections['performance'] = debug_performance(str(path))
bottleneck_count = len(sections['performance'].get('bottlenecks', []))
print(f" ✓ Found {bottleneck_count} bottleneck(s)")
except Exception as e:
sections['performance'] = {"error": str(e)}
print(f" ✗ Error: {e}")
# Section 4: Architecture Recommendations
if detail_level in ["standard", "deep"]:
print("🏗️ [4/5] Analyzing architecture...")
try:
sections['architecture'] = suggest_architecture(str(path))
current = sections['architecture'].get('current_pattern', 'unknown')
recommended = sections['architecture'].get('recommended_pattern', 'unknown')
print(f" ✓ Current: {current}, Recommended: {recommended}")
except Exception as e:
sections['architecture'] = {"error": str(e)}
print(f" ✗ Error: {e}")
else:
print("🏗️ [4/5] Skipping architecture (quick mode)")
sections['architecture'] = {"skipped": "quick mode"}
# Section 5: Layout Validation
print("📐 [5/5] Checking layout...")
try:
sections['layout'] = fix_layout_issues(str(path))
issue_count = len(sections['layout'].get('layout_issues', []))
print(f" ✓ Found {issue_count} layout issue(s)")
except Exception as e:
sections['layout'] = {"error": str(e)}
print(f" ✗ Error: {e}")
print()
# Calculate overall health
overall_health = _calculate_overall_health(sections)
# Extract priority fixes
priority_fixes = _extract_priority_fixes(sections)
# Estimate fix time
estimated_fix_time = _estimate_fix_time(priority_fixes)
# Generate summary
summary = _generate_summary(overall_health, sections, priority_fixes)
# Overall validation
validation = {
"status": _determine_status(overall_health),
"summary": summary,
"overall_health": overall_health,
"sections_completed": len([s for s in sections.values() if 'error' not in s and 'skipped' not in s]),
"total_sections": 5
}
# Print summary
_print_summary_report(overall_health, summary, priority_fixes, estimated_fix_time)
return {
"overall_health": overall_health,
"sections": sections,
"summary": summary,
"priority_fixes": priority_fixes,
"estimated_fix_time": estimated_fix_time,
"validation": validation,
"detail_level": detail_level,
"analyzed_path": str(path)
}
def _calculate_overall_health(sections: Dict[str, Any]) -> int:
"""Calculate overall health score (0-100)."""
scores = []
weights = {
'issues': 0.25,
'best_practices': 0.25,
'performance': 0.20,
'architecture': 0.15,
'layout': 0.15
}
# Issues score (inverse of health_score from diagnose_issue)
if 'issues' in sections and 'health_score' in sections['issues']:
scores.append((sections['issues']['health_score'], weights['issues']))
# Best practices score
if 'best_practices' in sections and 'overall_score' in sections['best_practices']:
scores.append((sections['best_practices']['overall_score'], weights['best_practices']))
# Performance score (derive from bottlenecks)
if 'performance' in sections and 'bottlenecks' in sections['performance']:
bottlenecks = sections['performance']['bottlenecks']
critical = sum(1 for b in bottlenecks if b['severity'] == 'CRITICAL')
high = sum(1 for b in bottlenecks if b['severity'] == 'HIGH')
perf_score = max(0, 100 - (critical * 20) - (high * 10))
scores.append((perf_score, weights['performance']))
# Architecture score (based on complexity vs pattern appropriateness)
if 'architecture' in sections and 'complexity_score' in sections['architecture']:
arch_data = sections['architecture']
# Good if recommended == current, or if complexity is low
if arch_data.get('recommended_pattern') == arch_data.get('current_pattern'):
arch_score = 100
elif arch_data.get('complexity_score', 0) < 40:
arch_score = 80 # Simple app, pattern less critical
else:
arch_score = 60 # Should refactor
scores.append((arch_score, weights['architecture']))
# Layout score (inverse of issues)
if 'layout' in sections and 'layout_issues' in sections['layout']:
layout_issues = sections['layout']['layout_issues']
critical = sum(1 for i in layout_issues if i['severity'] == 'CRITICAL')
warning = sum(1 for i in layout_issues if i['severity'] == 'WARNING')
layout_score = max(0, 100 - (critical * 15) - (warning * 5))
scores.append((layout_score, weights['layout']))
# Weighted average
if not scores:
return 50 # No data
weighted_sum = sum(score * weight for score, weight in scores)
total_weight = sum(weight for _, weight in scores)
return int(weighted_sum / total_weight)
def _extract_priority_fixes(sections: Dict[str, Any]) -> List[str]:
"""Extract priority fixes across all sections."""
fixes = []
# Critical issues
if 'issues' in sections and 'issues' in sections['issues']:
critical = [i for i in sections['issues']['issues'] if i['severity'] == 'CRITICAL']
for issue in critical:
fixes.append({
"priority": "CRITICAL",
"source": "Issues",
"description": f"{issue['issue']} ({issue['location']})",
"fix": issue.get('fix', 'See issue details')
})
# Critical performance bottlenecks
if 'performance' in sections and 'bottlenecks' in sections['performance']:
critical = [b for b in sections['performance']['bottlenecks'] if b['severity'] == 'CRITICAL']
for bottleneck in critical:
fixes.append({
"priority": "CRITICAL",
"source": "Performance",
"description": f"{bottleneck['issue']} ({bottleneck['location']})",
"fix": bottleneck.get('fix', 'See bottleneck details')
})
# Critical layout issues
if 'layout' in sections and 'layout_issues' in sections['layout']:
critical = [i for i in sections['layout']['layout_issues'] if i['severity'] == 'CRITICAL']
for issue in critical:
fixes.append({
"priority": "CRITICAL",
"source": "Layout",
"description": f"{issue['issue']} ({issue['location']})",
"fix": issue.get('explanation', 'See layout details')
})
# Best practice failures
if 'best_practices' in sections and 'compliance' in sections['best_practices']:
compliance = sections['best_practices']['compliance']
failures = [tip for tip, data in compliance.items() if data['status'] == 'fail']
for tip in failures[:3]: # Top 3
fixes.append({
"priority": "WARNING",
"source": "Best Practices",
"description": f"Missing {tip.replace('_', ' ')}",
"fix": compliance[tip].get('recommendation', 'See best practices')
})
# Architecture recommendations (if significant refactoring needed)
if 'architecture' in sections and 'complexity_score' in sections['architecture']:
arch_data = sections['architecture']
if arch_data.get('complexity_score', 0) > 70:
if arch_data.get('recommended_pattern') != arch_data.get('current_pattern'):
fixes.append({
"priority": "INFO",
"source": "Architecture",
"description": f"Consider refactoring to {arch_data.get('recommended_pattern')}",
"fix": f"See architecture recommendations for {len(arch_data.get('refactoring_steps', []))} steps"
})
return fixes
def _estimate_fix_time(priority_fixes: List[Dict[str, str]]) -> str:
"""Estimate time to address priority fixes."""
critical_count = sum(1 for f in priority_fixes if f['priority'] == 'CRITICAL')
warning_count = sum(1 for f in priority_fixes if f['priority'] == 'WARNING')
info_count = sum(1 for f in priority_fixes if f['priority'] == 'INFO')
# Time estimates (in hours)
critical_time = critical_count * 0.5 # 30 min each
warning_time = warning_count * 0.25 # 15 min each
info_time = info_count * 1.0 # 1 hour each (refactoring)
total_hours = critical_time + warning_time + info_time
if total_hours == 0:
return "No fixes needed"
elif total_hours < 1:
return f"{int(total_hours * 60)} minutes"
elif total_hours < 2:
return f"1-2 hours"
elif total_hours < 4:
return f"2-4 hours"
elif total_hours < 8:
return f"4-8 hours"
else:
return f"{int(total_hours)} hours (1-2 days)"
def _generate_summary(health: int, sections: Dict[str, Any], fixes: List[Dict[str, str]]) -> str:
"""Generate executive summary."""
if health >= 90:
health_desc = "Excellent"
emoji = "✅"
elif health >= 75:
health_desc = "Good"
emoji = "✓"
elif health >= 60:
health_desc = "Fair"
emoji = "⚠️"
elif health >= 40:
health_desc = "Poor"
emoji = "❌"
else:
health_desc = "Critical"
emoji = "🚨"
critical_count = sum(1 for f in fixes if f['priority'] == 'CRITICAL')
if health >= 80:
summary = f"{emoji} {health_desc} health ({health}/100). Application follows most best practices."
elif health >= 60:
summary = f"{emoji} {health_desc} health ({health}/100). Some improvements recommended."
elif health >= 40:
summary = f"{emoji} {health_desc} health ({health}/100). Several issues need attention."
else:
summary = f"{emoji} {health_desc} health ({health}/100). Multiple critical issues require immediate fixes."
if critical_count > 0:
summary += f" {critical_count} critical issue(s) found."
return summary
def _determine_status(health: int) -> str:
"""Determine overall status from health score."""
if health >= 80:
return "pass"
elif health >= 60:
return "warning"
else:
return "critical"
def _print_summary_report(health: int, summary: str, fixes: List[Dict[str, str]], fix_time: str):
"""Print formatted summary report."""
print(f"{'='*70}")
print(f"ANALYSIS COMPLETE")
print(f"{'='*70}\n")
print(f"Overall Health: {health}/100")
print(f"Summary: {summary}\n")
if fixes:
print(f"Priority Fixes ({len(fixes)}):")
print(f"{'-'*70}")
# Group by priority
critical = [f for f in fixes if f['priority'] == 'CRITICAL']
warnings = [f for f in fixes if f['priority'] == 'WARNING']
info = [f for f in fixes if f['priority'] == 'INFO']
if critical:
print(f"\n🔴 CRITICAL ({len(critical)}):")
for i, fix in enumerate(critical, 1):
print(f" {i}. [{fix['source']}] {fix['description']}")
if warnings:
print(f"\n⚠️ WARNINGS ({len(warnings)}):")
for i, fix in enumerate(warnings, 1):
print(f" {i}. [{fix['source']}] {fix['description']}")
if info:
print(f"\n💡 INFO ({len(info)}):")
for i, fix in enumerate(info, 1):
print(f" {i}. [{fix['source']}] {fix['description']}")
else:
print("✅ No priority fixes needed!")
print(f"\n{'-'*70}")
print(f"Estimated Fix Time: {fix_time}")
print(f"{'='*70}\n")
def validate_comprehensive_analysis(result: Dict[str, Any]) -> Dict[str, Any]:
"""Validate comprehensive analysis result."""
if 'error' in result:
return {"status": "error", "summary": result['error']}
validation = result.get('validation', {})
status = validation.get('status', 'unknown')
summary = validation.get('summary', 'Analysis complete')
checks = [
(result.get('overall_health') is not None, "Health score calculated"),
(result.get('sections') is not None, "Sections analyzed"),
(result.get('priority_fixes') is not None, "Priority fixes extracted"),
(result.get('summary') is not None, "Summary generated"),
]
all_pass = all(check[0] for check in checks)
return {
"status": status,
"summary": summary,
"checks": {check[1]: check[0] for check in checks},
"valid": all_pass
}
if __name__ == "__main__":
if len(sys.argv) < 2:
print("Usage: comprehensive_bubbletea_analysis.py <code_path> [detail_level]")
print(" detail_level: quick, standard (default), or deep")
sys.exit(1)
code_path = sys.argv[1]
detail_level = sys.argv[2] if len(sys.argv) > 2 else "standard"
if detail_level not in ["quick", "standard", "deep"]:
print(f"Invalid detail_level: {detail_level}")
print("Must be: quick, standard, or deep")
sys.exit(1)
result = comprehensive_bubbletea_analysis(code_path, detail_level)
# Save to file
output_file = Path(code_path).parent / "bubbletea_analysis_report.json"
with open(output_file, 'w') as f:
json.dump(result, f, indent=2)
print(f"Full report saved to: {output_file}\n")

731
scripts/debug_performance.py Normal file
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@@ -0,0 +1,731 @@
#!/usr/bin/env python3
"""
Debug performance issues in Bubble Tea applications.
Identifies bottlenecks in Update(), View(), and concurrent operations.
"""
import os
import re
import json
from pathlib import Path
from typing import Dict, List, Any, Tuple, Optional
def debug_performance(code_path: str, profile_data: str = "") -> Dict[str, Any]:
"""
Identify performance bottlenecks in Bubble Tea application.
Args:
code_path: Path to Go file or directory
profile_data: Optional profiling data (pprof output, benchmark results)
Returns:
Dictionary containing:
- bottlenecks: List of performance issues with locations and fixes
- metrics: Performance metrics (if available)
- recommendations: Prioritized optimization suggestions
- validation: Validation report
"""
path = Path(code_path)
if not path.exists():
return {
"error": f"Path not found: {code_path}",
"validation": {"status": "error", "summary": "Invalid path"}
}
# Collect all .go files
go_files = []
if path.is_file():
if path.suffix == '.go':
go_files = [path]
else:
go_files = list(path.glob('**/*.go'))
if not go_files:
return {
"error": "No .go files found",
"validation": {"status": "error", "summary": "No Go files"}
}
# Analyze performance for each file
all_bottlenecks = []
for go_file in go_files:
bottlenecks = _analyze_performance(go_file)
all_bottlenecks.extend(bottlenecks)
# Sort by severity
severity_order = {"CRITICAL": 0, "HIGH": 1, "MEDIUM": 2, "LOW": 3}
all_bottlenecks.sort(key=lambda x: severity_order.get(x['severity'], 999))
# Generate recommendations
recommendations = _generate_performance_recommendations(all_bottlenecks)
# Estimate metrics
metrics = _estimate_metrics(all_bottlenecks, go_files)
# Summary
critical_count = sum(1 for b in all_bottlenecks if b['severity'] == 'CRITICAL')
high_count = sum(1 for b in all_bottlenecks if b['severity'] == 'HIGH')
if critical_count > 0:
summary = f"⚠️ Found {critical_count} critical performance issue(s)"
elif high_count > 0:
summary = f"⚠️ Found {high_count} high-priority performance issue(s)"
elif all_bottlenecks:
summary = f"Found {len(all_bottlenecks)} potential optimization(s)"
else:
summary = "✅ No major performance issues detected"
# Validation
validation = {
"status": "critical" if critical_count > 0 else "warning" if high_count > 0 else "pass",
"summary": summary,
"checks": {
"fast_update": critical_count == 0,
"fast_view": high_count == 0,
"no_memory_leaks": not any(b['category'] == 'memory' for b in all_bottlenecks),
"efficient_rendering": not any(b['category'] == 'rendering' for b in all_bottlenecks)
}
}
return {
"bottlenecks": all_bottlenecks,
"metrics": metrics,
"recommendations": recommendations,
"summary": summary,
"profile_data": profile_data if profile_data else None,
"validation": validation
}
def _analyze_performance(file_path: Path) -> List[Dict[str, Any]]:
"""Analyze a single Go file for performance issues."""
bottlenecks = []
try:
content = file_path.read_text()
except Exception as e:
return []
lines = content.split('\n')
rel_path = file_path.name
# Performance checks
bottlenecks.extend(_check_update_performance(content, lines, rel_path))
bottlenecks.extend(_check_view_performance(content, lines, rel_path))
bottlenecks.extend(_check_string_operations(content, lines, rel_path))
bottlenecks.extend(_check_regex_performance(content, lines, rel_path))
bottlenecks.extend(_check_loop_efficiency(content, lines, rel_path))
bottlenecks.extend(_check_allocation_patterns(content, lines, rel_path))
bottlenecks.extend(_check_concurrent_operations(content, lines, rel_path))
bottlenecks.extend(_check_io_operations(content, lines, rel_path))
return bottlenecks
def _check_update_performance(content: str, lines: List[str], file_path: str) -> List[Dict[str, Any]]:
"""Check Update() function for performance issues."""
bottlenecks = []
# Find Update() function
update_start = -1
update_end = -1
brace_count = 0
for i, line in enumerate(lines):
if re.search(r'func\s+\([^)]+\)\s+Update\s*\(', line):
update_start = i
brace_count = line.count('{') - line.count('}')
elif update_start >= 0:
brace_count += line.count('{') - line.count('}')
if brace_count == 0:
update_end = i
break
if update_start < 0:
return bottlenecks
update_lines = lines[update_start:update_end+1] if update_end > 0 else lines[update_start:]
update_code = '\n'.join(update_lines)
# Check 1: Blocking I/O in Update()
blocking_patterns = [
(r'\bhttp\.(Get|Post|Do)\s*\(', "HTTP request", "CRITICAL"),
(r'\btime\.Sleep\s*\(', "Sleep call", "CRITICAL"),
(r'\bos\.(Open|Read|Write)', "File I/O", "CRITICAL"),
(r'\bio\.ReadAll\s*\(', "ReadAll", "CRITICAL"),
(r'\bexec\.Command\([^)]+\)\.Run\(\)', "Command execution", "CRITICAL"),
(r'\bdb\.(Query|Exec)', "Database operation", "CRITICAL"),
]
for pattern, operation, severity in blocking_patterns:
matches = re.finditer(pattern, update_code)
for match in matches:
# Find line number within Update()
line_offset = update_code[:match.start()].count('\n')
actual_line = update_start + line_offset
bottlenecks.append({
"severity": severity,
"category": "performance",
"issue": f"Blocking {operation} in Update()",
"location": f"{file_path}:{actual_line+1}",
"time_impact": "Blocks event loop (16ms+ delay)",
"explanation": f"{operation} blocks the event loop, freezing the UI",
"fix": f"Move to tea.Cmd goroutine:\n\n" +
f"func fetch{operation.replace(' ', '')}() tea.Msg {{\n" +
f" // Runs in background, doesn't block\n" +
f" result, err := /* your {operation.lower()} */\n" +
f" return resultMsg{{data: result, err: err}}\n" +
f"}}\n\n" +
f"// In Update():\n" +
f"case tea.KeyMsg:\n" +
f" if key.String() == \"r\" {{\n" +
f" return m, fetch{operation.replace(' ', '')} // Non-blocking\n" +
f" }}",
"code_example": f"return m, fetch{operation.replace(' ', '')}"
})
# Check 2: Heavy computation in Update()
computation_patterns = [
(r'for\s+.*range\s+\w+\s*\{[^}]{100,}\}', "Large loop", "HIGH"),
(r'json\.(Marshal|Unmarshal)', "JSON processing", "MEDIUM"),
(r'regexp\.MustCompile\s*\(', "Regex compilation", "HIGH"),
]
for pattern, operation, severity in computation_patterns:
matches = re.finditer(pattern, update_code, re.DOTALL)
for match in matches:
line_offset = update_code[:match.start()].count('\n')
actual_line = update_start + line_offset
bottlenecks.append({
"severity": severity,
"category": "performance",
"issue": f"Heavy {operation} in Update()",
"location": f"{file_path}:{actual_line+1}",
"time_impact": "May exceed 16ms budget",
"explanation": f"{operation} can be expensive, consider optimizing",
"fix": "Optimize:\n" +
"- Cache compiled regexes (compile once, reuse)\n" +
"- Move heavy processing to tea.Cmd\n" +
"- Use incremental updates instead of full recalculation",
"code_example": "var cachedRegex = regexp.MustCompile(`pattern`) // Outside Update()"
})
return bottlenecks
def _check_view_performance(content: str, lines: List[str], file_path: str) -> List[Dict[str, Any]]:
"""Check View() function for performance issues."""
bottlenecks = []
# Find View() function
view_start = -1
view_end = -1
brace_count = 0
for i, line in enumerate(lines):
if re.search(r'func\s+\([^)]+\)\s+View\s*\(', line):
view_start = i
brace_count = line.count('{') - line.count('}')
elif view_start >= 0:
brace_count += line.count('{') - line.count('}')
if brace_count == 0:
view_end = i
break
if view_start < 0:
return bottlenecks
view_lines = lines[view_start:view_end+1] if view_end > 0 else lines[view_start:]
view_code = '\n'.join(view_lines)
# Check 1: String concatenation with +
string_concat_pattern = r'(\w+\s*\+\s*"[^"]*"\s*\+\s*\w+|\w+\s*\+=\s*"[^"]*")'
if re.search(string_concat_pattern, view_code):
matches = list(re.finditer(string_concat_pattern, view_code))
if len(matches) > 5: # Multiple concatenations
bottlenecks.append({
"severity": "HIGH",
"category": "rendering",
"issue": f"String concatenation with + operator ({len(matches)} occurrences)",
"location": f"{file_path}:{view_start+1} (View function)",
"time_impact": "Allocates many temporary strings",
"explanation": "Using + for strings creates many allocations. Use strings.Builder.",
"fix": "Replace with strings.Builder:\n\n" +
"import \"strings\"\n\n" +
"func (m model) View() string {\n" +
" var b strings.Builder\n" +
" b.WriteString(\"header\")\n" +
" b.WriteString(m.content)\n" +
" b.WriteString(\"footer\")\n" +
" return b.String()\n" +
"}",
"code_example": "var b strings.Builder; b.WriteString(...)"
})
# Check 2: Recompiling lipgloss styles
style_in_view = re.findall(r'lipgloss\.NewStyle\(\)', view_code)
if len(style_in_view) > 3:
bottlenecks.append({
"severity": "MEDIUM",
"category": "rendering",
"issue": f"Creating lipgloss styles in View() ({len(style_in_view)} times)",
"location": f"{file_path}:{view_start+1} (View function)",
"time_impact": "Recreates styles on every render",
"explanation": "Style creation is relatively expensive. Cache styles in model.",
"fix": "Cache styles in model:\n\n" +
"type model struct {\n" +
" // ... other fields\n" +
" headerStyle lipgloss.Style\n" +
" contentStyle lipgloss.Style\n" +
"}\n\n" +
"func initialModel() model {\n" +
" return model{\n" +
" headerStyle: lipgloss.NewStyle().Bold(true).Foreground(lipgloss.Color(\"#FF00FF\")),\n" +
" contentStyle: lipgloss.NewStyle().Padding(1),\n" +
" }\n" +
"}\n\n" +
"func (m model) View() string {\n" +
" return m.headerStyle.Render(\"Header\") + m.contentStyle.Render(m.content)\n" +
"}",
"code_example": "m.headerStyle.Render(...) // Use cached style"
})
# Check 3: Reading files in View()
if re.search(r'\b(os\.ReadFile|ioutil\.ReadFile|os\.Open)', view_code):
bottlenecks.append({
"severity": "CRITICAL",
"category": "rendering",
"issue": "File I/O in View() function",
"location": f"{file_path}:{view_start+1} (View function)",
"time_impact": "Massive delay (1-100ms per render)",
"explanation": "View() is called frequently. File I/O blocks rendering.",
"fix": "Load file in Update(), cache in model:\n\n" +
"type model struct {\n" +
" fileContent string\n" +
"}\n\n" +
"func loadFile() tea.Msg {\n" +
" content, err := os.ReadFile(\"file.txt\")\n" +
" return fileLoadedMsg{content: string(content), err: err}\n" +
"}\n\n" +
"// In Update():\n" +
"case fileLoadedMsg:\n" +
" m.fileContent = msg.content\n\n" +
"// In View():\n" +
"return m.fileContent // Just return cached data",
"code_example": "return m.cachedContent // No I/O in View()"
})
# Check 4: Expensive lipgloss operations
join_vertical_count = len(re.findall(r'lipgloss\.JoinVertical', view_code))
if join_vertical_count > 10:
bottlenecks.append({
"severity": "LOW",
"category": "rendering",
"issue": f"Many lipgloss.JoinVertical calls ({join_vertical_count})",
"location": f"{file_path}:{view_start+1} (View function)",
"time_impact": "Accumulates string operations",
"explanation": "Many join operations can add up. Consider batching.",
"fix": "Batch related joins:\n\n" +
"// Instead of many small joins:\n" +
"// line1 := lipgloss.JoinHorizontal(...)\n" +
"// line2 := lipgloss.JoinHorizontal(...)\n" +
"// ...\n\n" +
"// Build all lines first, join once:\n" +
"lines := []string{\n" +
" lipgloss.JoinHorizontal(...),\n" +
" lipgloss.JoinHorizontal(...),\n" +
" lipgloss.JoinHorizontal(...),\n" +
"}\n" +
"return lipgloss.JoinVertical(lipgloss.Left, lines...)",
"code_example": "lipgloss.JoinVertical(lipgloss.Left, lines...)"
})
return bottlenecks
def _check_string_operations(content: str, lines: List[str], file_path: str) -> List[Dict[str, Any]]:
"""Check for inefficient string operations."""
bottlenecks = []
# Check for fmt.Sprintf in loops
for i, line in enumerate(lines):
if 'for' in line:
# Check next 20 lines for fmt.Sprintf
for j in range(i, min(i+20, len(lines))):
if 'fmt.Sprintf' in lines[j] and 'result' in lines[j]:
bottlenecks.append({
"severity": "MEDIUM",
"category": "performance",
"issue": "fmt.Sprintf in loop",
"location": f"{file_path}:{j+1}",
"time_impact": "Allocations on every iteration",
"explanation": "fmt.Sprintf allocates. Use strings.Builder or fmt.Fprintf.",
"fix": "Use strings.Builder:\n\n" +
"var b strings.Builder\n" +
"for _, item := range items {\n" +
" fmt.Fprintf(&b, \"Item: %s\\n\", item)\n" +
"}\n" +
"result := b.String()",
"code_example": "fmt.Fprintf(&builder, ...)"
})
break
return bottlenecks
def _check_regex_performance(content: str, lines: List[str], file_path: str) -> List[Dict[str, Any]]:
"""Check for regex performance issues."""
bottlenecks = []
# Check for regexp.MustCompile in functions (not at package level)
in_function = False
for i, line in enumerate(lines):
if re.match(r'^\s*func\s+', line):
in_function = True
elif in_function and re.match(r'^\s*$', line):
in_function = False
if in_function and 'regexp.MustCompile' in line:
bottlenecks.append({
"severity": "HIGH",
"category": "performance",
"issue": "Compiling regex in function",
"location": f"{file_path}:{i+1}",
"time_impact": "Compiles on every call (1-10ms)",
"explanation": "Regex compilation is expensive. Compile once at package level.",
"fix": "Move to package level:\n\n" +
"// At package level (outside functions)\n" +
"var (\n" +
" emailRegex = regexp.MustCompile(`^[a-z]+@[a-z]+\\.[a-z]+$`)\n" +
" phoneRegex = regexp.MustCompile(`^\\d{3}-\\d{3}-\\d{4}$`)\n" +
")\n\n" +
"// In function\n" +
"func validate(email string) bool {\n" +
" return emailRegex.MatchString(email) // Reuse compiled regex\n" +
"}",
"code_example": "var emailRegex = regexp.MustCompile(...) // Package level"
})
return bottlenecks
def _check_loop_efficiency(content: str, lines: List[str], file_path: str) -> List[Dict[str, Any]]:
"""Check for inefficient loops."""
bottlenecks = []
# Check for nested loops over large data
for i, line in enumerate(lines):
if re.search(r'for\s+.*range', line):
# Look for nested loop within 30 lines
for j in range(i+1, min(i+30, len(lines))):
if re.search(r'for\s+.*range', lines[j]):
# Check indentation (nested)
if len(lines[j]) - len(lines[j].lstrip()) > len(line) - len(line.lstrip()):
bottlenecks.append({
"severity": "MEDIUM",
"category": "performance",
"issue": "Nested loops detected",
"location": f"{file_path}:{i+1}",
"time_impact": "O(n²) complexity",
"explanation": "Nested loops can be slow. Consider optimization.",
"fix": "Optimization strategies:\n" +
"1. Use map/set for O(1) lookups instead of nested loop\n" +
"2. Break early when possible\n" +
"3. Process data once, cache results\n" +
"4. Use channels/goroutines for parallel processing\n\n" +
"Example with map:\n" +
"// Instead of:\n" +
"for _, a := range listA {\n" +
" for _, b := range listB {\n" +
" if a.id == b.id { found = true }\n" +
" }\n" +
"}\n\n" +
"// Use map:\n" +
"mapB := make(map[string]bool)\n" +
"for _, b := range listB {\n" +
" mapB[b.id] = true\n" +
"}\n" +
"for _, a := range listA {\n" +
" if mapB[a.id] { found = true }\n" +
"}",
"code_example": "Use map for O(1) lookup"
})
break
return bottlenecks
def _check_allocation_patterns(content: str, lines: List[str], file_path: str) -> List[Dict[str, Any]]:
"""Check for excessive allocations."""
bottlenecks = []
# Check for slice append in loops without pre-allocation
for i, line in enumerate(lines):
if re.search(r'for\s+.*range', line):
# Check next 20 lines for append without make
has_append = False
for j in range(i, min(i+20, len(lines))):
if 'append(' in lines[j]:
has_append = True
break
# Check if slice was pre-allocated
has_make = False
for j in range(max(0, i-10), i):
if 'make(' in lines[j] and 'len(' in lines[j]:
has_make = True
break
if has_append and not has_make:
bottlenecks.append({
"severity": "LOW",
"category": "memory",
"issue": "Slice append in loop without pre-allocation",
"location": f"{file_path}:{i+1}",
"time_impact": "Multiple reallocations",
"explanation": "Appending without pre-allocation causes slice to grow, reallocate.",
"fix": "Pre-allocate slice:\n\n" +
"// Instead of:\n" +
"var results []string\n" +
"for _, item := range items {\n" +
" results = append(results, process(item))\n" +
"}\n\n" +
"// Pre-allocate:\n" +
"results := make([]string, 0, len(items)) // Pre-allocate capacity\n" +
"for _, item := range items {\n" +
" results = append(results, process(item)) // No reallocation\n" +
"}",
"code_example": "results := make([]string, 0, len(items))"
})
return bottlenecks
def _check_concurrent_operations(content: str, lines: List[str], file_path: str) -> List[Dict[str, Any]]:
"""Check for concurrency issues."""
bottlenecks = []
# Check for goroutine leaks
has_goroutines = bool(re.search(r'\bgo\s+func', content))
has_context = bool(re.search(r'context\.', content))
has_waitgroup = bool(re.search(r'sync\.WaitGroup', content))
if has_goroutines and not (has_context or has_waitgroup):
bottlenecks.append({
"severity": "HIGH",
"category": "memory",
"issue": "Goroutines without lifecycle management",
"location": file_path,
"time_impact": "Goroutine leaks consume memory",
"explanation": "Goroutines need proper cleanup to prevent leaks.",
"fix": "Use context for cancellation:\n\n" +
"type model struct {\n" +
" ctx context.Context\n" +
" cancel context.CancelFunc\n" +
"}\n\n" +
"func initialModel() model {\n" +
" ctx, cancel := context.WithCancel(context.Background())\n" +
" return model{ctx: ctx, cancel: cancel}\n" +
"}\n\n" +
"func worker(ctx context.Context) tea.Msg {\n" +
" for {\n" +
" select {\n" +
" case <-ctx.Done():\n" +
" return nil // Stop goroutine\n" +
" case <-time.After(time.Second):\n" +
" // Do work\n" +
" }\n" +
" }\n" +
"}\n\n" +
"// In Update() on quit:\n" +
"m.cancel() // Stops all goroutines",
"code_example": "ctx, cancel := context.WithCancel(context.Background())"
})
return bottlenecks
def _check_io_operations(content: str, lines: List[str], file_path: str) -> List[Dict[str, Any]]:
"""Check for I/O operations that should be async."""
bottlenecks = []
# Check for synchronous file reads
file_ops = [
(r'os\.ReadFile', "os.ReadFile"),
(r'ioutil\.ReadFile', "ioutil.ReadFile"),
(r'os\.Open', "os.Open"),
(r'io\.ReadAll', "io.ReadAll"),
]
for pattern, op_name in file_ops:
matches = list(re.finditer(pattern, content))
if matches:
# Check if in tea.Cmd (good) or in Update/View (bad)
for match in matches:
# Find which function this is in
line_num = content[:match.start()].count('\n')
context_lines = content.split('\n')[max(0, line_num-10):line_num+1]
context_text = '\n'.join(context_lines)
in_cmd = bool(re.search(r'func\s+\w+\(\s*\)\s+tea\.Msg', context_text))
in_update = bool(re.search(r'func\s+\([^)]+\)\s+Update', context_text))
in_view = bool(re.search(r'func\s+\([^)]+\)\s+View', context_text))
if (in_update or in_view) and not in_cmd:
severity = "CRITICAL" if in_view else "HIGH"
func_name = "View()" if in_view else "Update()"
bottlenecks.append({
"severity": severity,
"category": "io",
"issue": f"Synchronous {op_name} in {func_name}",
"location": f"{file_path}:{line_num+1}",
"time_impact": "1-100ms per call",
"explanation": f"{op_name} blocks the event loop",
"fix": f"Move to tea.Cmd:\n\n" +
f"func loadFileCmd() tea.Msg {{\n" +
f" data, err := {op_name}(\"file.txt\")\n" +
f" return fileLoadedMsg{{data: data, err: err}}\n" +
f"}}\n\n" +
f"// In Update():\n" +
f"case tea.KeyMsg:\n" +
f" if key.String() == \"o\" {{\n" +
f" return m, loadFileCmd // Non-blocking\n" +
f" }}",
"code_example": "return m, loadFileCmd // Async I/O"
})
return bottlenecks
def _generate_performance_recommendations(bottlenecks: List[Dict[str, Any]]) -> List[str]:
"""Generate prioritized performance recommendations."""
recommendations = []
# Group by category
categories = {}
for b in bottlenecks:
cat = b['category']
if cat not in categories:
categories[cat] = []
categories[cat].append(b)
# Priority recommendations
if 'performance' in categories:
critical = [b for b in categories['performance'] if b['severity'] == 'CRITICAL']
if critical:
recommendations.append(
f"🔴 CRITICAL: Move {len(critical)} blocking operation(s) to tea.Cmd goroutines"
)
if 'rendering' in categories:
recommendations.append(
f"⚡ Optimize View() rendering: Found {len(categories['rendering'])} issue(s)"
)
if 'memory' in categories:
recommendations.append(
f"💾 Fix memory issues: Found {len(categories['memory'])} potential leak(s)"
)
if 'io' in categories:
recommendations.append(
f"💿 Make I/O async: Found {len(categories['io'])} synchronous I/O call(s)"
)
# General recommendations
recommendations.extend([
"Profile with pprof to get precise measurements",
"Use benchmarks to validate optimizations",
"Monitor with runtime.ReadMemStats() for memory usage",
"Test with large datasets to reveal performance issues"
])
return recommendations
def _estimate_metrics(bottlenecks: List[Dict[str, Any]], files: List[Path]) -> Dict[str, Any]:
"""Estimate performance metrics based on analysis."""
# Estimate Update() time
critical_in_update = sum(1 for b in bottlenecks
if 'Update()' in b.get('issue', '') and b['severity'] == 'CRITICAL')
high_in_update = sum(1 for b in bottlenecks
if 'Update()' in b.get('issue', '') and b['severity'] == 'HIGH')
estimated_update_time = "2-5ms (good)"
if critical_in_update > 0:
estimated_update_time = "50-200ms (critical - UI freezing)"
elif high_in_update > 0:
estimated_update_time = "20-50ms (slow - noticeable lag)"
# Estimate View() time
critical_in_view = sum(1 for b in bottlenecks
if 'View()' in b.get('issue', '') and b['severity'] == 'CRITICAL')
high_in_view = sum(1 for b in bottlenecks
if 'View()' in b.get('issue', '') and b['severity'] == 'HIGH')
estimated_view_time = "1-3ms (good)"
if critical_in_view > 0:
estimated_view_time = "100-500ms (critical - very slow)"
elif high_in_view > 0:
estimated_view_time = "10-30ms (slow)"
# Memory estimate
goroutine_leaks = sum(1 for b in bottlenecks if 'leak' in b.get('issue', '').lower())
memory_status = "stable"
if goroutine_leaks > 0:
memory_status = "growing (leaks detected)"
return {
"estimated_update_time": estimated_update_time,
"estimated_view_time": estimated_view_time,
"memory_status": memory_status,
"total_bottlenecks": len(bottlenecks),
"critical_issues": sum(1 for b in bottlenecks if b['severity'] == 'CRITICAL'),
"files_analyzed": len(files),
"note": "Run actual profiling (pprof, benchmarks) for precise measurements"
}
def validate_performance_debug(result: Dict[str, Any]) -> Dict[str, Any]:
"""Validate performance debug result."""
if 'error' in result:
return {"status": "error", "summary": result['error']}
validation = result.get('validation', {})
status = validation.get('status', 'unknown')
summary = validation.get('summary', 'Performance analysis complete')
checks = [
(result.get('bottlenecks') is not None, "Has bottlenecks list"),
(result.get('metrics') is not None, "Has metrics"),
(result.get('recommendations') is not None, "Has recommendations"),
]
all_pass = all(check[0] for check in checks)
return {
"status": status,
"summary": summary,
"checks": {check[1]: check[0] for check in checks},
"valid": all_pass
}
if __name__ == "__main__":
import sys
if len(sys.argv) < 2:
print("Usage: debug_performance.py <code_path> [profile_data]")
sys.exit(1)
code_path = sys.argv[1]
profile_data = sys.argv[2] if len(sys.argv) > 2 else ""
result = debug_performance(code_path, profile_data)
print(json.dumps(result, indent=2))

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scripts/diagnose_issue.py Normal file
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@@ -0,0 +1,441 @@
#!/usr/bin/env python3
"""
Diagnose issues in existing Bubble Tea applications.
Identifies common problems: slow event loop, layout issues, memory leaks, etc.
"""
import os
import re
import json
from pathlib import Path
from typing import Dict, List, Any
def diagnose_issue(code_path: str, description: str = "") -> Dict[str, Any]:
"""
Analyze Bubble Tea code to identify common issues.
Args:
code_path: Path to Go file or directory containing Bubble Tea code
description: Optional user description of the problem
Returns:
Dictionary containing:
- issues: List of identified issues with severity, location, fix
- summary: High-level summary
- health_score: 0-100 score (higher is better)
- validation: Validation report
"""
path = Path(code_path)
if not path.exists():
return {
"error": f"Path not found: {code_path}",
"validation": {"status": "error", "summary": "Invalid path"}
}
# Collect all .go files
go_files = []
if path.is_file():
if path.suffix == '.go':
go_files = [path]
else:
go_files = list(path.glob('**/*.go'))
if not go_files:
return {
"error": "No .go files found",
"validation": {"status": "error", "summary": "No Go files"}
}
# Analyze all files
all_issues = []
for go_file in go_files:
issues = _analyze_go_file(go_file)
all_issues.extend(issues)
# Calculate health score
critical_count = sum(1 for i in all_issues if i['severity'] == 'CRITICAL')
warning_count = sum(1 for i in all_issues if i['severity'] == 'WARNING')
info_count = sum(1 for i in all_issues if i['severity'] == 'INFO')
health_score = max(0, 100 - (critical_count * 20) - (warning_count * 5) - (info_count * 1))
# Generate summary
if critical_count == 0 and warning_count == 0:
summary = "✅ No critical issues found. Application appears healthy."
elif critical_count > 0:
summary = f"❌ Found {critical_count} critical issue(s) requiring immediate attention"
else:
summary = f"⚠️ Found {warning_count} warning(s) that should be addressed"
# Validation
validation = {
"status": "critical" if critical_count > 0 else "warning" if warning_count > 0 else "pass",
"summary": summary,
"checks": {
"has_blocking_operations": critical_count > 0,
"has_layout_issues": any(i['category'] == 'layout' for i in all_issues),
"has_performance_issues": any(i['category'] == 'performance' for i in all_issues),
"has_architecture_issues": any(i['category'] == 'architecture' for i in all_issues)
}
}
return {
"issues": all_issues,
"summary": summary,
"health_score": health_score,
"statistics": {
"total_issues": len(all_issues),
"critical": critical_count,
"warnings": warning_count,
"info": info_count,
"files_analyzed": len(go_files)
},
"validation": validation,
"user_description": description
}
def _analyze_go_file(file_path: Path) -> List[Dict[str, Any]]:
"""Analyze a single Go file for issues."""
issues = []
try:
content = file_path.read_text()
except Exception as e:
return [{
"severity": "WARNING",
"category": "system",
"issue": f"Could not read file: {e}",
"location": str(file_path),
"explanation": "File access error",
"fix": "Check file permissions"
}]
lines = content.split('\n')
rel_path = file_path.name
# Check 1: Blocking operations in Update() or View()
issues.extend(_check_blocking_operations(content, lines, rel_path))
# Check 2: Hardcoded dimensions
issues.extend(_check_hardcoded_dimensions(content, lines, rel_path))
# Check 3: Missing terminal recovery
issues.extend(_check_terminal_recovery(content, lines, rel_path))
# Check 4: Message ordering assumptions
issues.extend(_check_message_ordering(content, lines, rel_path))
# Check 5: Model complexity
issues.extend(_check_model_complexity(content, lines, rel_path))
# Check 6: Memory leaks (goroutine leaks)
issues.extend(_check_goroutine_leaks(content, lines, rel_path))
# Check 7: Layout arithmetic issues
issues.extend(_check_layout_arithmetic(content, lines, rel_path))
return issues
def _check_blocking_operations(content: str, lines: List[str], file_path: str) -> List[Dict[str, Any]]:
"""Check for blocking operations in Update() or View()."""
issues = []
# Find Update() and View() function boundaries
in_update = False
in_view = False
func_start_line = 0
blocking_patterns = [
(r'\btime\.Sleep\s*\(', "time.Sleep"),
(r'\bhttp\.(Get|Post|Do)\s*\(', "HTTP request"),
(r'\bos\.Open\s*\(', "File I/O"),
(r'\bio\.ReadAll\s*\(', "Blocking read"),
(r'\bexec\.Command\([^)]+\)\.Run\(\)', "Command execution"),
(r'\bdb\.Query\s*\(', "Database query"),
]
for i, line in enumerate(lines):
# Track function boundaries
if re.search(r'func\s+\([^)]+\)\s+Update\s*\(', line):
in_update = True
func_start_line = i
elif re.search(r'func\s+\([^)]+\)\s+View\s*\(', line):
in_view = True
func_start_line = i
elif in_update or in_view:
if line.strip().startswith('func '):
in_update = False
in_view = False
# Check for blocking operations
if in_update or in_view:
for pattern, operation in blocking_patterns:
if re.search(pattern, line):
func_type = "Update()" if in_update else "View()"
issues.append({
"severity": "CRITICAL",
"category": "performance",
"issue": f"Blocking {operation} in {func_type}",
"location": f"{file_path}:{i+1}",
"code_snippet": line.strip(),
"explanation": f"{operation} blocks the event loop, causing UI to freeze",
"fix": f"Move {operation} to tea.Cmd goroutine:\n\n" +
f"func load{operation.replace(' ', '')}() tea.Msg {{\n" +
f" // Your {operation} here\n" +
f" return resultMsg{{}}\n" +
f"}}\n\n" +
f"// In Update():\n" +
f"return m, load{operation.replace(' ', '')}"
})
return issues
def _check_hardcoded_dimensions(content: str, lines: List[str], file_path: str) -> List[Dict[str, Any]]:
"""Check for hardcoded terminal dimensions."""
issues = []
# Look for hardcoded width/height values
patterns = [
(r'\.Width\s*\(\s*(\d{2,})\s*\)', "width"),
(r'\.Height\s*\(\s*(\d{2,})\s*\)', "height"),
(r'MaxWidth\s*:\s*(\d{2,})', "MaxWidth"),
(r'MaxHeight\s*:\s*(\d{2,})', "MaxHeight"),
]
for i, line in enumerate(lines):
for pattern, dimension in patterns:
matches = re.finditer(pattern, line)
for match in matches:
value = match.group(1)
if int(value) >= 20: # Likely a terminal dimension, not small padding
issues.append({
"severity": "WARNING",
"category": "layout",
"issue": f"Hardcoded {dimension} value: {value}",
"location": f"{file_path}:{i+1}",
"code_snippet": line.strip(),
"explanation": "Hardcoded dimensions don't adapt to terminal size",
"fix": f"Use dynamic terminal size from tea.WindowSizeMsg:\n\n" +
f"type model struct {{\n" +
f" termWidth int\n" +
f" termHeight int\n" +
f"}}\n\n" +
f"func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {{\n" +
f" switch msg := msg.(type) {{\n" +
f" case tea.WindowSizeMsg:\n" +
f" m.termWidth = msg.Width\n" +
f" m.termHeight = msg.Height\n" +
f" }}\n" +
f" return m, nil\n" +
f"}}"
})
return issues
def _check_terminal_recovery(content: str, lines: List[str], file_path: str) -> List[Dict[str, Any]]:
"""Check for panic recovery and terminal cleanup."""
issues = []
has_defer_recover = bool(re.search(r'defer\s+func\s*\(\s*\)\s*\{[^}]*recover\(\)', content, re.DOTALL))
has_main = bool(re.search(r'func\s+main\s*\(\s*\)', content))
if has_main and not has_defer_recover:
issues.append({
"severity": "WARNING",
"category": "reliability",
"issue": "Missing panic recovery in main()",
"location": file_path,
"explanation": "Panics can leave terminal in broken state (mouse mode enabled, cursor hidden)",
"fix": "Add defer recovery:\n\n" +
"func main() {\n" +
" defer func() {\n" +
" if r := recover(); r != nil {\n" +
" tea.DisableMouseAllMotion()\n" +
" tea.ShowCursor()\n" +
" fmt.Println(\"Panic:\", r)\n" +
" os.Exit(1)\n" +
" }\n" +
" }()\n\n" +
" // Your program logic\n" +
"}"
})
return issues
def _check_message_ordering(content: str, lines: List[str], file_path: str) -> List[Dict[str, Any]]:
"""Check for assumptions about message ordering from concurrent commands."""
issues = []
# Look for concurrent command patterns without order handling
has_batch = bool(re.search(r'tea\.Batch\s*\(', content))
has_state_machine = bool(re.search(r'type\s+\w+State\s+(int|string)', content))
if has_batch and not has_state_machine:
issues.append({
"severity": "INFO",
"category": "architecture",
"issue": "Using tea.Batch without explicit state tracking",
"location": file_path,
"explanation": "Messages from tea.Batch arrive in unpredictable order",
"fix": "Use state machine to track operations:\n\n" +
"type model struct {\n" +
" operations map[string]bool // Track active operations\n" +
"}\n\n" +
"type opStartMsg struct { id string }\n" +
"type opDoneMsg struct { id string, result string }\n\n" +
"func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {\n" +
" switch msg := msg.(type) {\n" +
" case opStartMsg:\n" +
" m.operations[msg.id] = true\n" +
" case opDoneMsg:\n" +
" delete(m.operations, msg.id)\n" +
" }\n" +
" return m, nil\n" +
"}"
})
return issues
def _check_model_complexity(content: str, lines: List[str], file_path: str) -> List[Dict[str, Any]]:
"""Check if model is too complex and should use model tree."""
issues = []
# Count fields in model struct
model_match = re.search(r'type\s+(\w*[Mm]odel)\s+struct\s*\{([^}]+)\}', content, re.DOTALL)
if model_match:
model_body = model_match.group(2)
field_count = len([line for line in model_body.split('\n') if line.strip() and not line.strip().startswith('//')])
if field_count > 15:
issues.append({
"severity": "INFO",
"category": "architecture",
"issue": f"Model has {field_count} fields (complex)",
"location": file_path,
"explanation": "Large models are hard to maintain. Consider model tree pattern.",
"fix": "Refactor to model tree:\n\n" +
"type appModel struct {\n" +
" activeView int\n" +
" listView listModel\n" +
" detailView detailModel\n" +
"}\n\n" +
"func (m appModel) Update(msg tea.Msg) (tea.Model, tea.Cmd) {\n" +
" switch m.activeView {\n" +
" case 0:\n" +
" m.listView, cmd = m.listView.Update(msg)\n" +
" case 1:\n" +
" m.detailView, cmd = m.detailView.Update(msg)\n" +
" }\n" +
" return m, cmd\n" +
"}"
})
return issues
def _check_goroutine_leaks(content: str, lines: List[str], file_path: str) -> List[Dict[str, Any]]:
"""Check for potential goroutine leaks."""
issues = []
# Look for goroutines without cleanup
has_go_statements = bool(re.search(r'\bgo\s+', content))
has_context_cancel = bool(re.search(r'ctx,\s*cancel\s*:=\s*context\.', content))
if has_go_statements and not has_context_cancel:
issues.append({
"severity": "WARNING",
"category": "reliability",
"issue": "Goroutines without context cancellation",
"location": file_path,
"explanation": "Goroutines may leak if not properly cancelled",
"fix": "Use context for goroutine lifecycle:\n\n" +
"type model struct {\n" +
" ctx context.Context\n" +
" cancel context.CancelFunc\n" +
"}\n\n" +
"func initialModel() model {\n" +
" ctx, cancel := context.WithCancel(context.Background())\n" +
" return model{ctx: ctx, cancel: cancel}\n" +
"}\n\n" +
"// In Update() on quit:\n" +
"m.cancel() // Stops all goroutines"
})
return issues
def _check_layout_arithmetic(content: str, lines: List[str], file_path: str) -> List[Dict[str, Any]]:
"""Check for layout arithmetic issues."""
issues = []
# Look for manual height/width calculations instead of lipgloss helpers
uses_lipgloss = bool(re.search(r'"github\.com/charmbracelet/lipgloss"', content))
has_manual_calc = bool(re.search(r'(height|width)\s*[-+]\s*\d+', content, re.IGNORECASE))
has_lipgloss_helpers = bool(re.search(r'lipgloss\.(Height|Width|GetVertical|GetHorizontal)', content))
if uses_lipgloss and has_manual_calc and not has_lipgloss_helpers:
issues.append({
"severity": "WARNING",
"category": "layout",
"issue": "Manual layout calculations without lipgloss helpers",
"location": file_path,
"explanation": "Manual calculations are error-prone. Use lipgloss.Height() and lipgloss.Width()",
"fix": "Use lipgloss helpers:\n\n" +
"// ❌ BAD:\n" +
"availableHeight := termHeight - 5 // Magic number!\n\n" +
"// ✅ GOOD:\n" +
"headerHeight := lipgloss.Height(header)\n" +
"footerHeight := lipgloss.Height(footer)\n" +
"availableHeight := termHeight - headerHeight - footerHeight"
})
return issues
# Validation function
def validate_diagnosis(result: Dict[str, Any]) -> Dict[str, Any]:
"""Validate diagnosis result."""
if 'error' in result:
return {"status": "error", "summary": result['error']}
validation = result.get('validation', {})
status = validation.get('status', 'unknown')
summary = validation.get('summary', 'Diagnosis complete')
checks = [
(result.get('issues') is not None, "Has issues list"),
(result.get('health_score') is not None, "Has health score"),
(result.get('summary') is not None, "Has summary"),
(len(result.get('issues', [])) >= 0, "Issues analyzed"),
]
all_pass = all(check[0] for check in checks)
return {
"status": status,
"summary": summary,
"checks": {check[1]: check[0] for check in checks},
"valid": all_pass
}
if __name__ == "__main__":
import sys
if len(sys.argv) < 2:
print("Usage: diagnose_issue.py <code_path> [description]")
sys.exit(1)
code_path = sys.argv[1]
description = sys.argv[2] if len(sys.argv) > 2 else ""
result = diagnose_issue(code_path, description)
print(json.dumps(result, indent=2))

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#!/usr/bin/env python3
"""
Fix Lipgloss layout issues in Bubble Tea applications.
Identifies hardcoded dimensions, incorrect calculations, overflow issues, etc.
"""
import os
import re
import json
from pathlib import Path
from typing import Dict, List, Any, Tuple, Optional
def fix_layout_issues(code_path: str, description: str = "") -> Dict[str, Any]:
"""
Diagnose and fix common Lipgloss layout problems.
Args:
code_path: Path to Go file or directory
description: Optional user description of layout issue
Returns:
Dictionary containing:
- layout_issues: List of identified layout problems with fixes
- lipgloss_improvements: General recommendations
- code_fixes: Concrete code changes to apply
- validation: Validation report
"""
path = Path(code_path)
if not path.exists():
return {
"error": f"Path not found: {code_path}",
"validation": {"status": "error", "summary": "Invalid path"}
}
# Collect all .go files
go_files = []
if path.is_file():
if path.suffix == '.go':
go_files = [path]
else:
go_files = list(path.glob('**/*.go'))
if not go_files:
return {
"error": "No .go files found",
"validation": {"status": "error", "summary": "No Go files"}
}
# Analyze all files for layout issues
all_layout_issues = []
all_code_fixes = []
for go_file in go_files:
issues, fixes = _analyze_layout_issues(go_file)
all_layout_issues.extend(issues)
all_code_fixes.extend(fixes)
# Generate improvement recommendations
lipgloss_improvements = _generate_improvements(all_layout_issues)
# Summary
critical_count = sum(1 for i in all_layout_issues if i['severity'] == 'CRITICAL')
warning_count = sum(1 for i in all_layout_issues if i['severity'] == 'WARNING')
if critical_count > 0:
summary = f"🚨 Found {critical_count} critical layout issue(s)"
elif warning_count > 0:
summary = f"⚠️ Found {warning_count} layout issue(s) to address"
elif all_layout_issues:
summary = f"Found {len(all_layout_issues)} minor layout improvement(s)"
else:
summary = "✅ No major layout issues detected"
# Validation
validation = {
"status": "critical" if critical_count > 0 else "warning" if warning_count > 0 else "pass",
"summary": summary,
"checks": {
"no_hardcoded_dimensions": not any(i['type'] == 'hardcoded_dimensions' for i in all_layout_issues),
"proper_height_calc": not any(i['type'] == 'incorrect_height' for i in all_layout_issues),
"handles_padding": not any(i['type'] == 'missing_padding_calc' for i in all_layout_issues),
"handles_overflow": not any(i['type'] == 'overflow' for i in all_layout_issues)
}
}
return {
"layout_issues": all_layout_issues,
"lipgloss_improvements": lipgloss_improvements,
"code_fixes": all_code_fixes,
"summary": summary,
"user_description": description,
"files_analyzed": len(go_files),
"validation": validation
}
def _analyze_layout_issues(file_path: Path) -> Tuple[List[Dict[str, Any]], List[Dict[str, Any]]]:
"""Analyze a single Go file for layout issues."""
layout_issues = []
code_fixes = []
try:
content = file_path.read_text()
except Exception as e:
return layout_issues, code_fixes
lines = content.split('\n')
rel_path = file_path.name
# Check if file uses lipgloss
uses_lipgloss = bool(re.search(r'"github\.com/charmbracelet/lipgloss"', content))
if not uses_lipgloss:
return layout_issues, code_fixes
# Issue checks
issues, fixes = _check_hardcoded_dimensions(content, lines, rel_path)
layout_issues.extend(issues)
code_fixes.extend(fixes)
issues, fixes = _check_incorrect_height_calculations(content, lines, rel_path)
layout_issues.extend(issues)
code_fixes.extend(fixes)
issues, fixes = _check_missing_padding_accounting(content, lines, rel_path)
layout_issues.extend(issues)
code_fixes.extend(fixes)
issues, fixes = _check_overflow_issues(content, lines, rel_path)
layout_issues.extend(issues)
code_fixes.extend(fixes)
issues, fixes = _check_terminal_resize_handling(content, lines, rel_path)
layout_issues.extend(issues)
code_fixes.extend(fixes)
issues, fixes = _check_border_accounting(content, lines, rel_path)
layout_issues.extend(issues)
code_fixes.extend(fixes)
return layout_issues, code_fixes
def _check_hardcoded_dimensions(content: str, lines: List[str], file_path: str) -> Tuple[List[Dict[str, Any]], List[Dict[str, Any]]]:
"""Check for hardcoded width/height values."""
issues = []
fixes = []
# Pattern: .Width(80), .Height(24), etc.
dimension_pattern = r'\.(Width|Height|MaxWidth|MaxHeight)\s*\(\s*(\d{2,})\s*\)'
for i, line in enumerate(lines):
matches = re.finditer(dimension_pattern, line)
for match in matches:
dimension_type = match.group(1)
value = int(match.group(2))
# Likely a terminal dimension if >= 20
if value >= 20:
issues.append({
"severity": "WARNING",
"type": "hardcoded_dimensions",
"issue": f"Hardcoded {dimension_type}: {value}",
"location": f"{file_path}:{i+1}",
"current_code": line.strip(),
"explanation": f"Hardcoded {dimension_type} of {value} won't adapt to different terminal sizes",
"impact": "Layout breaks on smaller/larger terminals"
})
# Generate fix
if dimension_type in ["Width", "MaxWidth"]:
fixed_code = re.sub(
rf'\.{dimension_type}\s*\(\s*{value}\s*\)',
f'.{dimension_type}(m.termWidth)',
line.strip()
)
else: # Height, MaxHeight
fixed_code = re.sub(
rf'\.{dimension_type}\s*\(\s*{value}\s*\)',
f'.{dimension_type}(m.termHeight)',
line.strip()
)
fixes.append({
"location": f"{file_path}:{i+1}",
"original": line.strip(),
"fixed": fixed_code,
"explanation": f"Use dynamic terminal size from model (m.termWidth/m.termHeight)",
"requires": [
"Add termWidth and termHeight fields to model",
"Handle tea.WindowSizeMsg in Update()"
],
"code_example": '''// In model:
type model struct {
termWidth int
termHeight int
}
// In Update():
case tea.WindowSizeMsg:
m.termWidth = msg.Width
m.termHeight = msg.Height'''
})
return issues, fixes
def _check_incorrect_height_calculations(content: str, lines: List[str], file_path: str) -> Tuple[List[Dict[str, Any]], List[Dict[str, Any]]]:
"""Check for manual height calculations instead of lipgloss.Height()."""
issues = []
fixes = []
# Check View() function for manual calculations
view_start = -1
for i, line in enumerate(lines):
if re.search(r'func\s+\([^)]+\)\s+View\s*\(', line):
view_start = i
break
if view_start < 0:
return issues, fixes
# Look for manual arithmetic like "height - 5", "24 - headerHeight"
manual_calc_pattern = r'(height|Height|termHeight)\s*[-+]\s*\d+'
for i in range(view_start, min(view_start + 200, len(lines))):
if re.search(manual_calc_pattern, lines[i], re.IGNORECASE):
# Check if lipgloss.Height() is used in the vicinity
context = '\n'.join(lines[max(0, i-5):i+5])
uses_lipgloss_height = bool(re.search(r'lipgloss\.Height\s*\(', context))
if not uses_lipgloss_height:
issues.append({
"severity": "WARNING",
"type": "incorrect_height",
"issue": "Manual height calculation without lipgloss.Height()",
"location": f"{file_path}:{i+1}",
"current_code": lines[i].strip(),
"explanation": "Manual calculations don't account for actual rendered height",
"impact": "Incorrect spacing, overflow, or clipping"
})
# Generate fix
fixed_code = lines[i].strip().replace(
"height - ", "m.termHeight - lipgloss.Height("
).replace("termHeight - ", "m.termHeight - lipgloss.Height(")
fixes.append({
"location": f"{file_path}:{i+1}",
"original": lines[i].strip(),
"fixed": "Use lipgloss.Height() to get actual rendered height",
"explanation": "lipgloss.Height() accounts for padding, borders, margins",
"code_example": '''// ❌ BAD:
availableHeight := termHeight - 5 // Magic number!
// ✅ GOOD:
headerHeight := lipgloss.Height(m.renderHeader())
footerHeight := lipgloss.Height(m.renderFooter())
availableHeight := m.termHeight - headerHeight - footerHeight'''
})
return issues, fixes
def _check_missing_padding_accounting(content: str, lines: List[str], file_path: str) -> Tuple[List[Dict[str, Any]], List[Dict[str, Any]]]:
"""Check for nested styles without padding/margin accounting."""
issues = []
fixes = []
# Look for nested styles with padding
# Pattern: Style().Padding(X).Width(Y).Render(content)
nested_style_pattern = r'\.Padding\s*\([^)]+\).*\.Width\s*\(\s*(\w+)\s*\).*\.Render\s*\('
for i, line in enumerate(lines):
matches = re.finditer(nested_style_pattern, line)
for match in matches:
width_var = match.group(1)
# Check if GetHorizontalPadding is used
context = '\n'.join(lines[max(0, i-10):min(i+10, len(lines))])
uses_get_padding = bool(re.search(r'GetHorizontalPadding\s*\(\s*\)', context))
if not uses_get_padding and width_var != 'm.termWidth':
issues.append({
"severity": "CRITICAL",
"type": "missing_padding_calc",
"issue": "Padding not accounted for in nested width calculation",
"location": f"{file_path}:{i+1}",
"current_code": line.strip(),
"explanation": "Setting Width() then Padding() makes content area smaller than expected",
"impact": "Content gets clipped or wrapped incorrectly"
})
fixes.append({
"location": f"{file_path}:{i+1}",
"original": line.strip(),
"fixed": "Account for padding using GetHorizontalPadding()",
"explanation": "Padding reduces available content area",
"code_example": '''// ❌ BAD:
style := lipgloss.NewStyle().
Padding(2).
Width(80).
Render(text) // Text area is 76, not 80!
// ✅ GOOD:
style := lipgloss.NewStyle().Padding(2)
contentWidth := 80 - style.GetHorizontalPadding()
content := lipgloss.NewStyle().Width(contentWidth).Render(text)
result := style.Width(80).Render(content)'''
})
return issues, fixes
def _check_overflow_issues(content: str, lines: List[str], file_path: str) -> Tuple[List[Dict[str, Any]], List[Dict[str, Any]]]:
"""Check for potential text overflow."""
issues = []
fixes = []
# Check for long strings without wrapping
has_wordwrap = bool(re.search(r'"github\.com/muesli/reflow/wordwrap"', content))
has_wrap_or_truncate = bool(re.search(r'(wordwrap|truncate|Truncate)', content, re.IGNORECASE))
# Look for string rendering without width constraints
render_pattern = r'\.Render\s*\(\s*(\w+)\s*\)'
for i, line in enumerate(lines):
matches = re.finditer(render_pattern, line)
for match in matches:
var_name = match.group(1)
# Check if there's width control
has_width_control = bool(re.search(r'\.Width\s*\(', line))
if not has_width_control and not has_wrap_or_truncate and len(line) > 40:
issues.append({
"severity": "WARNING",
"type": "overflow",
"issue": f"Rendering '{var_name}' without width constraint",
"location": f"{file_path}:{i+1}",
"current_code": line.strip(),
"explanation": "Long content can exceed terminal width",
"impact": "Text wraps unexpectedly or overflows"
})
fixes.append({
"location": f"{file_path}:{i+1}",
"original": line.strip(),
"fixed": "Add wordwrap or width constraint",
"explanation": "Constrain content to terminal width",
"code_example": '''// Option 1: Use wordwrap
import "github.com/muesli/reflow/wordwrap"
content := wordwrap.String(longText, m.termWidth)
// Option 2: Use lipgloss Width + truncate
style := lipgloss.NewStyle().Width(m.termWidth)
content := style.Render(longText)
// Option 3: Manual truncate
import "github.com/muesli/reflow/truncate"
content := truncate.StringWithTail(longText, uint(m.termWidth), "...")'''
})
return issues, fixes
def _check_terminal_resize_handling(content: str, lines: List[str], file_path: str) -> Tuple[List[Dict[str, Any]], List[Dict[str, Any]]]:
"""Check for proper terminal resize handling."""
issues = []
fixes = []
# Check if WindowSizeMsg is handled
handles_resize = bool(re.search(r'case\s+tea\.WindowSizeMsg:', content))
# Check if model stores term dimensions
has_term_fields = bool(re.search(r'(termWidth|termHeight|width|height)\s+int', content))
if not handles_resize and uses_lipgloss(content):
issues.append({
"severity": "CRITICAL",
"type": "missing_resize_handling",
"issue": "No tea.WindowSizeMsg handling detected",
"location": file_path,
"explanation": "Layout won't adapt when terminal is resized",
"impact": "Content clipped or misaligned after resize"
})
fixes.append({
"location": file_path,
"original": "N/A",
"fixed": "Add WindowSizeMsg handler",
"explanation": "Store terminal dimensions and update on resize",
"code_example": '''// In model:
type model struct {
termWidth int
termHeight int
}
// In Update():
func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
switch msg := msg.(type) {
case tea.WindowSizeMsg:
m.termWidth = msg.Width
m.termHeight = msg.Height
// Update child components with new size
m.viewport.Width = msg.Width
m.viewport.Height = msg.Height - 2 // Leave room for header
}
return m, nil
}
// In View():
func (m model) View() string {
// Use m.termWidth and m.termHeight for dynamic layout
content := lipgloss.NewStyle().
Width(m.termWidth).
Height(m.termHeight).
Render(m.content)
return content
}'''
})
elif handles_resize and not has_term_fields:
issues.append({
"severity": "WARNING",
"type": "resize_not_stored",
"issue": "WindowSizeMsg handled but dimensions not stored",
"location": file_path,
"explanation": "Handling resize but not storing dimensions for later use",
"impact": "Can't use current terminal size in View()"
})
return issues, fixes
def _check_border_accounting(content: str, lines: List[str], file_path: str) -> Tuple[List[Dict[str, Any]], List[Dict[str, Any]]]:
"""Check for border accounting in layout calculations."""
issues = []
fixes = []
# Check for borders without proper accounting
has_border = bool(re.search(r'\.Border\s*\(', content))
has_border_width_calc = bool(re.search(r'GetHorizontalBorderSize|GetVerticalBorderSize', content))
if has_border and not has_border_width_calc:
# Find border usage lines
for i, line in enumerate(lines):
if '.Border(' in line:
issues.append({
"severity": "WARNING",
"type": "missing_border_calc",
"issue": "Border used without accounting for border size",
"location": f"{file_path}:{i+1}",
"current_code": line.strip(),
"explanation": "Borders take space (2 chars horizontal, 2 chars vertical)",
"impact": "Content area smaller than expected"
})
fixes.append({
"location": f"{file_path}:{i+1}",
"original": line.strip(),
"fixed": "Account for border size",
"explanation": "Use GetHorizontalBorderSize() and GetVerticalBorderSize()",
"code_example": '''// With border:
style := lipgloss.NewStyle().
Border(lipgloss.RoundedBorder()).
Width(80)
// Calculate content area:
contentWidth := 80 - style.GetHorizontalBorderSize()
contentHeight := 24 - style.GetVerticalBorderSize()
// Use for inner content:
innerContent := lipgloss.NewStyle().
Width(contentWidth).
Height(contentHeight).
Render(text)
result := style.Render(innerContent)'''
})
return issues, fixes
def uses_lipgloss(content: str) -> bool:
"""Check if file uses lipgloss."""
return bool(re.search(r'"github\.com/charmbracelet/lipgloss"', content))
def _generate_improvements(issues: List[Dict[str, Any]]) -> List[str]:
"""Generate general improvement recommendations."""
improvements = []
issue_types = set(issue['type'] for issue in issues)
if 'hardcoded_dimensions' in issue_types:
improvements.append(
"🎯 Use dynamic terminal sizing: Store termWidth/termHeight in model, update from tea.WindowSizeMsg"
)
if 'incorrect_height' in issue_types:
improvements.append(
"📏 Use lipgloss.Height() and lipgloss.Width() for accurate measurements"
)
if 'missing_padding_calc' in issue_types:
improvements.append(
"📐 Account for padding with GetHorizontalPadding() and GetVerticalPadding()"
)
if 'overflow' in issue_types:
improvements.append(
"📝 Use wordwrap or truncate to prevent text overflow"
)
if 'missing_resize_handling' in issue_types:
improvements.append(
"🔄 Handle tea.WindowSizeMsg to support terminal resizing"
)
if 'missing_border_calc' in issue_types:
improvements.append(
"🔲 Account for borders with GetHorizontalBorderSize() and GetVerticalBorderSize()"
)
# General best practices
improvements.extend([
"✨ Test your TUI at various terminal sizes (80x24, 120x40, 200x50)",
"🔍 Use lipgloss debugging: Print style.String() to see computed dimensions",
"📦 Cache computed styles in model to avoid recreation on every render",
"🎨 Use PlaceHorizontal/PlaceVertical for alignment instead of manual padding"
])
return improvements
def validate_layout_fixes(result: Dict[str, Any]) -> Dict[str, Any]:
"""Validate layout fixes result."""
if 'error' in result:
return {"status": "error", "summary": result['error']}
validation = result.get('validation', {})
status = validation.get('status', 'unknown')
summary = validation.get('summary', 'Layout analysis complete')
checks = [
(result.get('layout_issues') is not None, "Has issues list"),
(result.get('lipgloss_improvements') is not None, "Has improvements"),
(result.get('code_fixes') is not None, "Has code fixes"),
]
all_pass = all(check[0] for check in checks)
return {
"status": status,
"summary": summary,
"checks": {check[1]: check[0] for check in checks},
"valid": all_pass
}
if __name__ == "__main__":
import sys
if len(sys.argv) < 2:
print("Usage: fix_layout_issues.py <code_path> [description]")
sys.exit(1)
code_path = sys.argv[1]
description = sys.argv[2] if len(sys.argv) > 2 else ""
result = fix_layout_issues(code_path, description)
print(json.dumps(result, indent=2))

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#!/usr/bin/env python3
"""
Suggest architectural improvements for Bubble Tea applications.
Analyzes complexity and recommends patterns like model trees, composable views, etc.
"""
import os
import re
import json
from pathlib import Path
from typing import Dict, List, Any, Tuple, Optional
def suggest_architecture(code_path: str, complexity_level: str = "auto") -> Dict[str, Any]:
"""
Analyze code and suggest architectural improvements.
Args:
code_path: Path to Go file or directory
complexity_level: "auto" (detect), "simple", "medium", "complex"
Returns:
Dictionary containing:
- current_pattern: Detected architectural pattern
- complexity_score: 0-100 (higher = more complex)
- recommended_pattern: Suggested pattern for improvement
- refactoring_steps: List of steps to implement
- code_templates: Example code for new pattern
- validation: Validation report
"""
path = Path(code_path)
if not path.exists():
return {
"error": f"Path not found: {code_path}",
"validation": {"status": "error", "summary": "Invalid path"}
}
# Collect all .go files
go_files = []
if path.is_file():
if path.suffix == '.go':
go_files = [path]
else:
go_files = list(path.glob('**/*.go'))
if not go_files:
return {
"error": "No .go files found",
"validation": {"status": "error", "summary": "No Go files"}
}
# Read all code
all_content = ""
for go_file in go_files:
try:
all_content += go_file.read_text() + "\n"
except Exception:
pass
# Analyze current architecture
current_pattern = _detect_current_pattern(all_content)
complexity_score = _calculate_complexity(all_content, go_files)
# Auto-detect complexity level if needed
if complexity_level == "auto":
if complexity_score < 30:
complexity_level = "simple"
elif complexity_score < 70:
complexity_level = "medium"
else:
complexity_level = "complex"
# Generate recommendations
recommended_pattern = _recommend_pattern(current_pattern, complexity_score, complexity_level)
refactoring_steps = _generate_refactoring_steps(current_pattern, recommended_pattern, all_content)
code_templates = _generate_code_templates(recommended_pattern, all_content)
# Summary
if recommended_pattern == current_pattern:
summary = f"✅ Current architecture ({current_pattern}) is appropriate for complexity level"
else:
summary = f"💡 Recommend refactoring from {current_pattern} to {recommended_pattern}"
# Validation
validation = {
"status": "pass" if recommended_pattern == current_pattern else "info",
"summary": summary,
"checks": {
"complexity_analyzed": complexity_score >= 0,
"pattern_detected": current_pattern != "unknown",
"has_recommendations": len(refactoring_steps) > 0,
"has_templates": len(code_templates) > 0
}
}
return {
"current_pattern": current_pattern,
"complexity_score": complexity_score,
"complexity_level": complexity_level,
"recommended_pattern": recommended_pattern,
"refactoring_steps": refactoring_steps,
"code_templates": code_templates,
"summary": summary,
"analysis": {
"files_analyzed": len(go_files),
"model_count": _count_models(all_content),
"view_functions": _count_view_functions(all_content),
"state_fields": _count_state_fields(all_content)
},
"validation": validation
}
def _detect_current_pattern(content: str) -> str:
"""Detect the current architectural pattern."""
# Check for various patterns
patterns_detected = []
# Pattern 1: Flat Model (single model struct, no child models)
has_model = bool(re.search(r'type\s+\w*[Mm]odel\s+struct', content))
has_child_models = bool(re.search(r'\w+Model\s+\w+Model', content))
if has_model and not has_child_models:
patterns_detected.append("flat_model")
# Pattern 2: Model Tree (parent model with child models)
if has_child_models:
patterns_detected.append("model_tree")
# Pattern 3: Multi-view (multiple view rendering based on state)
has_view_switcher = bool(re.search(r'switch\s+m\.\w*(view|mode|screen|state)', content, re.IGNORECASE))
if has_view_switcher:
patterns_detected.append("multi_view")
# Pattern 4: Component-based (using Bubble Tea components like list, viewport, etc.)
bubbletea_components = [
'list.Model',
'viewport.Model',
'textinput.Model',
'textarea.Model',
'table.Model',
'progress.Model',
'spinner.Model'
]
component_count = sum(1 for comp in bubbletea_components if comp in content)
if component_count >= 3:
patterns_detected.append("component_based")
elif component_count >= 1:
patterns_detected.append("uses_components")
# Pattern 5: State Machine (explicit state enums/constants)
has_state_enum = bool(re.search(r'type\s+\w*State\s+(int|string)', content))
has_iota_states = bool(re.search(r'const\s+\(\s*\w+State\s+\w*State\s+=\s+iota', content))
if has_state_enum or has_iota_states:
patterns_detected.append("state_machine")
# Pattern 6: Event-driven (heavy use of custom messages)
custom_msg_count = len(re.findall(r'type\s+\w+Msg\s+struct', content))
if custom_msg_count >= 5:
patterns_detected.append("event_driven")
# Return the most dominant pattern
if "model_tree" in patterns_detected:
return "model_tree"
elif "state_machine" in patterns_detected and "multi_view" in patterns_detected:
return "state_machine_multi_view"
elif "component_based" in patterns_detected:
return "component_based"
elif "multi_view" in patterns_detected:
return "multi_view"
elif "flat_model" in patterns_detected:
return "flat_model"
elif has_model:
return "basic_model"
else:
return "unknown"
def _calculate_complexity(content: str, files: List[Path]) -> int:
"""Calculate complexity score (0-100)."""
score = 0
# Factor 1: Number of files (10 points max)
file_count = len(files)
score += min(10, file_count * 2)
# Factor 2: Model field count (20 points max)
model_match = re.search(r'type\s+(\w*[Mm]odel)\s+struct\s*\{([^}]+)\}', content, re.DOTALL)
if model_match:
model_body = model_match.group(2)
field_count = len([line for line in model_body.split('\n')
if line.strip() and not line.strip().startswith('//')])
score += min(20, field_count)
# Factor 3: Number of Update() branches (20 points max)
update_match = re.search(r'func\s+\([^)]+\)\s+Update\s*\([^)]+\)\s*\([^)]+\)\s*\{(.+?)^func\s',
content, re.DOTALL | re.MULTILINE)
if update_match:
update_body = update_match.group(1)
case_count = len(re.findall(r'case\s+', update_body))
score += min(20, case_count * 2)
# Factor 4: View() complexity (15 points max)
view_match = re.search(r'func\s+\([^)]+\)\s+View\s*\(\s*\)\s+string\s*\{(.+?)^func\s',
content, re.DOTALL | re.MULTILINE)
if view_match:
view_body = view_match.group(1)
view_lines = len(view_body.split('\n'))
score += min(15, view_lines // 2)
# Factor 5: Custom message types (10 points max)
custom_msg_count = len(re.findall(r'type\s+\w+Msg\s+struct', content))
score += min(10, custom_msg_count * 2)
# Factor 6: Number of views/screens (15 points max)
view_count = len(re.findall(r'func\s+\([^)]+\)\s+render\w+', content, re.IGNORECASE))
score += min(15, view_count * 3)
# Factor 7: Use of channels/goroutines (10 points max)
has_channels = len(re.findall(r'make\s*\(\s*chan\s+', content))
has_goroutines = len(re.findall(r'\bgo\s+func', content))
score += min(10, (has_channels + has_goroutines) * 2)
return min(100, score)
def _recommend_pattern(current: str, complexity: int, level: str) -> str:
"""Recommend architectural pattern based on current state and complexity."""
# Simple apps (< 30 complexity)
if complexity < 30:
if current in ["unknown", "basic_model"]:
return "flat_model" # Simple flat model is fine
return current # Keep current pattern
# Medium complexity (30-70)
elif complexity < 70:
if current == "flat_model":
return "multi_view" # Evolve to multi-view
elif current == "basic_model":
return "component_based" # Start using components
return current
# High complexity (70+)
else:
if current in ["flat_model", "multi_view"]:
return "model_tree" # Need hierarchy
elif current == "component_based":
return "model_tree_with_components" # Combine patterns
return current
def _count_models(content: str) -> int:
"""Count model structs."""
return len(re.findall(r'type\s+\w*[Mm]odel\s+struct', content))
def _count_view_functions(content: str) -> int:
"""Count view rendering functions."""
return len(re.findall(r'func\s+\([^)]+\)\s+(View|render\w+)', content, re.IGNORECASE))
def _count_state_fields(content: str) -> int:
"""Count state fields in model."""
model_match = re.search(r'type\s+(\w*[Mm]odel)\s+struct\s*\{([^}]+)\}', content, re.DOTALL)
if not model_match:
return 0
model_body = model_match.group(2)
return len([line for line in model_body.split('\n')
if line.strip() and not line.strip().startswith('//')])
def _generate_refactoring_steps(current: str, recommended: str, content: str) -> List[str]:
"""Generate step-by-step refactoring guide."""
if current == recommended:
return ["No refactoring needed - current architecture is appropriate"]
steps = []
# Flat Model → Multi-view
if current == "flat_model" and recommended == "multi_view":
steps = [
"1. Add view state enum to model",
"2. Create separate render functions for each view",
"3. Add view switching logic in Update()",
"4. Implement switch statement in View() to route to render functions",
"5. Add keyboard shortcuts for view navigation"
]
# Flat Model → Model Tree
elif current == "flat_model" and recommended == "model_tree":
steps = [
"1. Identify logical groupings of fields in current model",
"2. Create child model structs for each grouping",
"3. Add Init() methods to child models",
"4. Create parent model with child model fields",
"5. Implement message routing in parent's Update()",
"6. Delegate rendering to child models in View()",
"7. Test each child model independently"
]
# Multi-view → Model Tree
elif current == "multi_view" and recommended == "model_tree":
steps = [
"1. Convert each view into a separate child model",
"2. Extract view-specific state into child models",
"3. Create parent router model with activeView field",
"4. Implement message routing based on activeView",
"5. Move view rendering logic into child models",
"6. Add inter-model communication via custom messages"
]
# Component-based → Model Tree with Components
elif current == "component_based" and recommended == "model_tree_with_components":
steps = [
"1. Group related components into logical views",
"2. Create view models that own related components",
"3. Create parent model to manage view models",
"4. Implement message routing to active view",
"5. Keep component updates within their view models",
"6. Compose final view from view model renders"
]
# Basic Model → Component-based
elif current == "basic_model" and recommended == "component_based":
steps = [
"1. Identify UI patterns that match Bubble Tea components",
"2. Replace custom text input with textinput.Model",
"3. Replace custom list with list.Model",
"4. Replace custom scrolling with viewport.Model",
"5. Update Init() to initialize components",
"6. Route messages to components in Update()",
"7. Compose View() using component.View() calls"
]
# Generic fallback
else:
steps = [
f"1. Analyze current {current} pattern",
f"2. Study {recommended} pattern examples",
"3. Plan gradual migration strategy",
"4. Implement incrementally with tests",
"5. Validate each step before proceeding"
]
return steps
def _generate_code_templates(pattern: str, existing_code: str) -> Dict[str, str]:
"""Generate code templates for recommended pattern."""
templates = {}
if pattern == "model_tree":
templates["parent_model"] = '''// Parent model manages child models
type appModel struct {
activeView int
// Child models
listView listViewModel
detailView detailViewModel
searchView searchViewModel
}
func (m appModel) Init() tea.Cmd {
return tea.Batch(
m.listView.Init(),
m.detailView.Init(),
m.searchView.Init(),
)
}
func (m appModel) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
var cmd tea.Cmd
// Global navigation
if key, ok := msg.(tea.KeyMsg); ok {
switch key.String() {
case "1":
m.activeView = 0
return m, nil
case "2":
m.activeView = 1
return m, nil
case "3":
m.activeView = 2
return m, nil
}
}
// Route to active child
switch m.activeView {
case 0:
m.listView, cmd = m.listView.Update(msg)
case 1:
m.detailView, cmd = m.detailView.Update(msg)
case 2:
m.searchView, cmd = m.searchView.Update(msg)
}
return m, cmd
}
func (m appModel) View() string {
switch m.activeView {
case 0:
return m.listView.View()
case 1:
return m.detailView.View()
case 2:
return m.searchView.View()
}
return ""
}'''
templates["child_model"] = '''// Child model handles its own state and rendering
type listViewModel struct {
items []string
cursor int
selected map[int]bool
}
func (m listViewModel) Init() tea.Cmd {
return nil
}
func (m listViewModel) Update(msg tea.Msg) (listViewModel, tea.Cmd) {
switch msg := msg.(type) {
case tea.KeyMsg:
switch msg.String() {
case "up", "k":
if m.cursor > 0 {
m.cursor--
}
case "down", "j":
if m.cursor < len(m.items)-1 {
m.cursor++
}
case " ":
m.selected[m.cursor] = !m.selected[m.cursor]
}
}
return m, nil
}
func (m listViewModel) View() string {
s := "Select items:\\n\\n"
for i, item := range m.items {
cursor := " "
if m.cursor == i {
cursor = ">"
}
checked := " "
if m.selected[i] {
checked = "x"
}
s += fmt.Sprintf("%s [%s] %s\\n", cursor, checked, item)
}
return s
}'''
templates["message_passing"] = '''// Custom message for inter-model communication
type itemSelectedMsg struct {
itemID string
}
// In listViewModel:
func (m listViewModel) Update(msg tea.Msg) (listViewModel, tea.Cmd) {
switch msg := msg.(type) {
case tea.KeyMsg:
if msg.String() == "enter" {
// Send message to parent (who routes to detail view)
return m, func() tea.Msg {
return itemSelectedMsg{itemID: m.items[m.cursor]}
}
}
}
return m, nil
}
// In appModel:
func (m appModel) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
switch msg := msg.(type) {
case itemSelectedMsg:
// List selected item, switch to detail view
m.detailView.LoadItem(msg.itemID)
m.activeView = 1 // Switch to detail
return m, nil
}
// Route to children...
return m, nil
}'''
elif pattern == "multi_view":
templates["view_state"] = '''type viewState int
const (
listView viewState = iota
detailView
searchView
)
type model struct {
currentView viewState
// View-specific state
listItems []string
listCursor int
detailItem string
searchQuery string
}'''
templates["view_switching"] = '''func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
switch msg := msg.(type) {
case tea.KeyMsg:
// Global navigation
switch msg.String() {
case "1":
m.currentView = listView
return m, nil
case "2":
m.currentView = detailView
return m, nil
case "3":
m.currentView = searchView
return m, nil
}
// View-specific handling
switch m.currentView {
case listView:
return m.updateListView(msg)
case detailView:
return m.updateDetailView(msg)
case searchView:
return m.updateSearchView(msg)
}
}
return m, nil
}
func (m model) View() string {
switch m.currentView {
case listView:
return m.renderListView()
case detailView:
return m.renderDetailView()
case searchView:
return m.renderSearchView()
}
return ""
}'''
elif pattern == "component_based":
templates["using_components"] = '''import (
"github.com/charmbracelet/bubbles/list"
"github.com/charmbracelet/bubbles/textinput"
"github.com/charmbracelet/bubbles/viewport"
tea "github.com/charmbracelet/bubbletea"
)
type model struct {
list list.Model
search textinput.Model
viewer viewport.Model
activeComponent int
}
func initialModel() model {
// Initialize components
items := []list.Item{
item{title: "Item 1", desc: "Description"},
item{title: "Item 2", desc: "Description"},
}
l := list.New(items, list.NewDefaultDelegate(), 20, 10)
l.Title = "Items"
ti := textinput.New()
ti.Placeholder = "Search..."
ti.Focus()
vp := viewport.New(80, 20)
return model{
list: l,
search: ti,
viewer: vp,
activeComponent: 0,
}
}
func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
var cmd tea.Cmd
// Route to active component
switch m.activeComponent {
case 0:
m.list, cmd = m.list.Update(msg)
case 1:
m.search, cmd = m.search.Update(msg)
case 2:
m.viewer, cmd = m.viewer.Update(msg)
}
return m, cmd
}
func (m model) View() string {
return lipgloss.JoinVertical(
lipgloss.Left,
m.search.View(),
m.list.View(),
m.viewer.View(),
)
}'''
elif pattern == "state_machine_multi_view":
templates["state_machine"] = '''type appState int
const (
loadingState appState = iota
listState
detailState
errorState
)
type model struct {
state appState
prevState appState
// State data
items []string
selected string
error error
}
func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
switch msg := msg.(type) {
case itemsLoadedMsg:
m.items = msg.items
m.state = listState
return m, nil
case itemSelectedMsg:
m.selected = msg.item
m.state = detailState
return m, loadItemDetails
case errorMsg:
m.prevState = m.state
m.state = errorState
m.error = msg.err
return m, nil
case tea.KeyMsg:
if msg.String() == "esc" && m.state == errorState {
m.state = m.prevState // Return to previous state
return m, nil
}
}
// State-specific update
switch m.state {
case listState:
return m.updateList(msg)
case detailState:
return m.updateDetail(msg)
}
return m, nil
}
func (m model) View() string {
switch m.state {
case loadingState:
return "Loading..."
case listState:
return m.renderList()
case detailState:
return m.renderDetail()
case errorState:
return fmt.Sprintf("Error: %v\\nPress ESC to continue", m.error)
}
return ""
}'''
return templates
def validate_architecture_suggestion(result: Dict[str, Any]) -> Dict[str, Any]:
"""Validate architecture suggestion result."""
if 'error' in result:
return {"status": "error", "summary": result['error']}
validation = result.get('validation', {})
status = validation.get('status', 'unknown')
summary = validation.get('summary', 'Architecture analysis complete')
checks = [
(result.get('current_pattern') is not None, "Pattern detected"),
(result.get('complexity_score') is not None, "Complexity calculated"),
(result.get('recommended_pattern') is not None, "Recommendation generated"),
(len(result.get('refactoring_steps', [])) > 0, "Has refactoring steps"),
]
all_pass = all(check[0] for check in checks)
return {
"status": status,
"summary": summary,
"checks": {check[1]: check[0] for check in checks},
"valid": all_pass
}
if __name__ == "__main__":
import sys
if len(sys.argv) < 2:
print("Usage: suggest_architecture.py <code_path> [complexity_level]")
sys.exit(1)
code_path = sys.argv[1]
complexity_level = sys.argv[2] if len(sys.argv) > 2 else "auto"
result = suggest_architecture(code_path, complexity_level)
print(json.dumps(result, indent=2))

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# Utility modules for Bubble Tea maintenance agent

328
scripts/utils/go_parser.py Normal file
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#!/usr/bin/env python3
"""
Go code parser utilities for Bubble Tea maintenance agent.
Extracts models, functions, types, and code structure.
"""
import re
from typing import Dict, List, Tuple, Optional
from pathlib import Path
def extract_model_struct(content: str) -> Optional[Dict[str, any]]:
"""Extract the main model struct from Go code."""
# Pattern: type XxxModel struct { ... }
pattern = r'type\s+(\w*[Mm]odel)\s+struct\s*\{([^}]+)\}'
match = re.search(pattern, content, re.DOTALL)
if not match:
return None
model_name = match.group(1)
model_body = match.group(2)
# Parse fields
fields = []
for line in model_body.split('\n'):
line = line.strip()
if not line or line.startswith('//'):
continue
# Parse field: name type [tag]
field_match = re.match(r'(\w+)\s+([^\s`]+)(?:\s+`([^`]+)`)?', line)
if field_match:
fields.append({
"name": field_match.group(1),
"type": field_match.group(2),
"tag": field_match.group(3) if field_match.group(3) else None
})
return {
"name": model_name,
"fields": fields,
"field_count": len(fields),
"raw_body": model_body
}
def extract_update_function(content: str) -> Optional[Dict[str, any]]:
"""Extract the Update() function."""
# Find Update function
pattern = r'func\s+\((\w+)\s+(\*?)(\w+)\)\s+Update\s*\([^)]*\)\s*\([^)]*\)\s*\{(.+?)(?=\nfunc\s|\Z)'
match = re.search(pattern, content, re.DOTALL | re.MULTILINE)
if not match:
return None
receiver_name = match.group(1)
is_pointer = match.group(2) == '*'
receiver_type = match.group(3)
function_body = match.group(4)
# Count cases in switch statements
case_count = len(re.findall(r'\bcase\s+', function_body))
# Find message types handled
handled_messages = re.findall(r'case\s+(\w+\.?\w*):', function_body)
return {
"receiver_name": receiver_name,
"receiver_type": receiver_type,
"is_pointer_receiver": is_pointer,
"body_lines": len(function_body.split('\n')),
"case_count": case_count,
"handled_messages": list(set(handled_messages)),
"raw_body": function_body
}
def extract_view_function(content: str) -> Optional[Dict[str, any]]:
"""Extract the View() function."""
pattern = r'func\s+\((\w+)\s+(\*?)(\w+)\)\s+View\s*\(\s*\)\s+string\s*\{(.+?)(?=\nfunc\s|\Z)'
match = re.search(pattern, content, re.DOTALL | re.MULTILINE)
if not match:
return None
receiver_name = match.group(1)
is_pointer = match.group(2) == '*'
receiver_type = match.group(3)
function_body = match.group(4)
# Analyze complexity
string_concat_count = len(re.findall(r'\+\s*"', function_body))
lipgloss_calls = len(re.findall(r'lipgloss\.', function_body))
return {
"receiver_name": receiver_name,
"receiver_type": receiver_type,
"is_pointer_receiver": is_pointer,
"body_lines": len(function_body.split('\n')),
"string_concatenations": string_concat_count,
"lipgloss_calls": lipgloss_calls,
"raw_body": function_body
}
def extract_init_function(content: str) -> Optional[Dict[str, any]]:
"""Extract the Init() function."""
pattern = r'func\s+\((\w+)\s+(\*?)(\w+)\)\s+Init\s*\(\s*\)\s+tea\.Cmd\s*\{(.+?)(?=\nfunc\s|\Z)'
match = re.search(pattern, content, re.DOTALL | re.MULTILINE)
if not match:
return None
receiver_name = match.group(1)
is_pointer = match.group(2) == '*'
receiver_type = match.group(3)
function_body = match.group(4)
return {
"receiver_name": receiver_name,
"receiver_type": receiver_type,
"is_pointer_receiver": is_pointer,
"body_lines": len(function_body.split('\n')),
"raw_body": function_body
}
def extract_custom_messages(content: str) -> List[Dict[str, any]]:
"""Extract custom message type definitions."""
# Pattern: type xxxMsg struct { ... }
pattern = r'type\s+(\w+Msg)\s+struct\s*\{([^}]*)\}'
matches = re.finditer(pattern, content, re.DOTALL)
messages = []
for match in matches:
msg_name = match.group(1)
msg_body = match.group(2)
# Parse fields
fields = []
for line in msg_body.split('\n'):
line = line.strip()
if not line or line.startswith('//'):
continue
field_match = re.match(r'(\w+)\s+([^\s]+)', line)
if field_match:
fields.append({
"name": field_match.group(1),
"type": field_match.group(2)
})
messages.append({
"name": msg_name,
"fields": fields,
"field_count": len(fields)
})
return messages
def extract_tea_commands(content: str) -> List[Dict[str, any]]:
"""Extract tea.Cmd functions."""
# Pattern: func xxxCmd() tea.Msg { ... }
pattern = r'func\s+(\w+)\s*\(\s*\)\s+tea\.Msg\s*\{(.+?)^\}'
matches = re.finditer(pattern, content, re.DOTALL | re.MULTILINE)
commands = []
for match in matches:
cmd_name = match.group(1)
cmd_body = match.group(2)
# Check for blocking operations
has_http = bool(re.search(r'\bhttp\.(Get|Post|Do)', cmd_body))
has_sleep = bool(re.search(r'time\.Sleep', cmd_body))
has_io = bool(re.search(r'\bos\.(Open|Read|Write)', cmd_body))
commands.append({
"name": cmd_name,
"body_lines": len(cmd_body.split('\n')),
"has_http": has_http,
"has_sleep": has_sleep,
"has_io": has_io,
"is_blocking": has_http or has_io # sleep is expected in commands
})
return commands
def extract_imports(content: str) -> List[str]:
"""Extract import statements."""
imports = []
# Single import
single_pattern = r'import\s+"([^"]+)"'
imports.extend(re.findall(single_pattern, content))
# Multi-line import block
block_pattern = r'import\s+\(([^)]+)\)'
block_matches = re.finditer(block_pattern, content, re.DOTALL)
for match in block_matches:
block_content = match.group(1)
# Extract quoted imports
quoted = re.findall(r'"([^"]+)"', block_content)
imports.extend(quoted)
return list(set(imports))
def find_bubbletea_components(content: str) -> List[Dict[str, any]]:
"""Find usage of Bubble Tea components (list, viewport, etc.)."""
components = []
component_patterns = {
"list": r'list\.Model',
"viewport": r'viewport\.Model',
"textinput": r'textinput\.Model',
"textarea": r'textarea\.Model',
"table": r'table\.Model',
"progress": r'progress\.Model',
"spinner": r'spinner\.Model',
"timer": r'timer\.Model',
"stopwatch": r'stopwatch\.Model',
"filepicker": r'filepicker\.Model',
"paginator": r'paginator\.Model',
}
for comp_name, pattern in component_patterns.items():
if re.search(pattern, content):
# Count occurrences
count = len(re.findall(pattern, content))
components.append({
"component": comp_name,
"occurrences": count
})
return components
def analyze_code_structure(file_path: Path) -> Dict[str, any]:
"""Comprehensive code structure analysis."""
try:
content = file_path.read_text()
except Exception as e:
return {"error": str(e)}
return {
"model": extract_model_struct(content),
"update": extract_update_function(content),
"view": extract_view_function(content),
"init": extract_init_function(content),
"custom_messages": extract_custom_messages(content),
"tea_commands": extract_tea_commands(content),
"imports": extract_imports(content),
"components": find_bubbletea_components(content),
"file_size": len(content),
"line_count": len(content.split('\n')),
"uses_lipgloss": '"github.com/charmbracelet/lipgloss"' in content,
"uses_bubbletea": '"github.com/charmbracelet/bubbletea"' in content
}
def find_function_by_name(content: str, func_name: str) -> Optional[str]:
"""Find a specific function by name and return its body."""
pattern = rf'func\s+(?:\([^)]+\)\s+)?{func_name}\s*\([^)]*\)[^{{]*\{{(.+?)(?=\nfunc\s|\Z)'
match = re.search(pattern, content, re.DOTALL | re.MULTILINE)
if match:
return match.group(1)
return None
def extract_state_machine_states(content: str) -> Optional[Dict[str, any]]:
"""Extract state machine enum if present."""
# Pattern: type xxxState int; const ( state1 state2 = iota ... )
state_type_pattern = r'type\s+(\w+State)\s+(int|string)'
state_type_match = re.search(state_type_pattern, content)
if not state_type_match:
return None
state_type = state_type_match.group(1)
# Find const block with iota
const_pattern = rf'const\s+\(([^)]+)\)'
const_matches = re.finditer(const_pattern, content, re.DOTALL)
states = []
for const_match in const_matches:
const_body = const_match.group(1)
if state_type in const_body and 'iota' in const_body:
# Extract state names
state_names = re.findall(rf'(\w+)\s+{state_type}', const_body)
states = state_names
break
return {
"type": state_type,
"states": states,
"count": len(states)
}
# Example usage and testing
if __name__ == "__main__":
import sys
if len(sys.argv) < 2:
print("Usage: go_parser.py <go_file>")
sys.exit(1)
file_path = Path(sys.argv[1])
result = analyze_code_structure(file_path)
import json
print(json.dumps(result, indent=2))

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# Validator modules for Bubble Tea maintenance agent

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#!/usr/bin/env python3
"""
Common validation utilities for Bubble Tea maintenance agent.
"""
from typing import Dict, List, Any, Optional
def validate_result_structure(result: Dict[str, Any], required_keys: List[str]) -> Dict[str, Any]:
"""
Validate that a result dictionary has required keys.
Args:
result: Result dictionary to validate
required_keys: List of required key names
Returns:
Validation dict with status, summary, and checks
"""
if 'error' in result:
return {
"status": "error",
"summary": result['error'],
"valid": False
}
checks = {}
for key in required_keys:
checks[f"has_{key}"] = key in result and result[key] is not None
all_pass = all(checks.values())
status = "pass" if all_pass else "fail"
summary = "Validation passed" if all_pass else f"Missing required keys: {[k for k, v in checks.items() if not v]}"
return {
"status": status,
"summary": summary,
"checks": checks,
"valid": all_pass
}
def validate_issue_list(issues: List[Dict[str, Any]]) -> Dict[str, Any]:
"""
Validate a list of issues has proper structure.
Expected issue structure:
- severity: CRITICAL, HIGH, WARNING, or INFO
- category: performance, layout, reliability, etc.
- issue: Description
- location: File path and line number
- explanation: Why it's a problem
- fix: How to fix it
"""
if not isinstance(issues, list):
return {
"status": "error",
"summary": "Issues must be a list",
"valid": False
}
required_fields = ["severity", "issue", "location", "explanation"]
valid_severities = ["CRITICAL", "HIGH", "MEDIUM", "WARNING", "LOW", "INFO"]
checks = {
"is_list": True,
"all_have_severity": True,
"valid_severity_values": True,
"all_have_issue": True,
"all_have_location": True,
"all_have_explanation": True
}
for issue in issues:
if not isinstance(issue, dict):
checks["is_list"] = False
continue
if "severity" not in issue:
checks["all_have_severity"] = False
elif issue["severity"] not in valid_severities:
checks["valid_severity_values"] = False
if "issue" not in issue or not issue["issue"]:
checks["all_have_issue"] = False
if "location" not in issue or not issue["location"]:
checks["all_have_location"] = False
if "explanation" not in issue or not issue["explanation"]:
checks["all_have_explanation"] = False
all_pass = all(checks.values())
status = "pass" if all_pass else "warning"
failed = [k for k, v in checks.items() if not v]
summary = "All issues properly structured" if all_pass else f"Issues have problems: {failed}"
return {
"status": status,
"summary": summary,
"checks": checks,
"valid": all_pass,
"issue_count": len(issues)
}
def validate_score(score: int, min_val: int = 0, max_val: int = 100) -> bool:
"""Validate a numeric score is in range."""
return isinstance(score, (int, float)) and min_val <= score <= max_val
def validate_health_score(health_score: int) -> Dict[str, Any]:
"""Validate health score and categorize."""
if not validate_score(health_score):
return {
"status": "error",
"summary": "Invalid health score",
"valid": False
}
if health_score >= 90:
category = "excellent"
status = "pass"
elif health_score >= 75:
category = "good"
status = "pass"
elif health_score >= 60:
category = "fair"
status = "warning"
elif health_score >= 40:
category = "poor"
status = "warning"
else:
category = "critical"
status = "critical"
return {
"status": status,
"summary": f"{category.capitalize()} health ({health_score}/100)",
"category": category,
"valid": True,
"score": health_score
}
def validate_file_path(file_path: str) -> bool:
"""Validate file path format."""
from pathlib import Path
try:
path = Path(file_path)
return path.exists()
except Exception:
return False
def validate_best_practices_compliance(compliance: Dict[str, Dict[str, Any]]) -> Dict[str, Any]:
"""Validate best practices compliance structure."""
if not isinstance(compliance, dict):
return {
"status": "error",
"summary": "Compliance must be a dictionary",
"valid": False
}
required_tip_fields = ["status", "score", "message"]
valid_statuses = ["pass", "fail", "warning", "info"]
checks = {
"has_tips": len(compliance) > 0,
"all_tips_valid": True,
"valid_statuses": True,
"valid_scores": True
}
for tip_name, tip_data in compliance.items():
if not isinstance(tip_data, dict):
checks["all_tips_valid"] = False
continue
for field in required_tip_fields:
if field not in tip_data:
checks["all_tips_valid"] = False
if tip_data.get("status") not in valid_statuses:
checks["valid_statuses"] = False
if not validate_score(tip_data.get("score", -1)):
checks["valid_scores"] = False
all_pass = all(checks.values())
status = "pass" if all_pass else "warning"
return {
"status": status,
"summary": f"Validated {len(compliance)} tips",
"checks": checks,
"valid": all_pass,
"tip_count": len(compliance)
}
def validate_bottlenecks(bottlenecks: List[Dict[str, Any]]) -> Dict[str, Any]:
"""Validate performance bottleneck list."""
if not isinstance(bottlenecks, list):
return {
"status": "error",
"summary": "Bottlenecks must be a list",
"valid": False
}
required_fields = ["severity", "category", "issue", "location", "explanation", "fix"]
valid_severities = ["CRITICAL", "HIGH", "MEDIUM", "LOW"]
valid_categories = ["performance", "memory", "io", "rendering"]
checks = {
"is_list": True,
"all_have_severity": True,
"valid_severities": True,
"all_have_category": True,
"valid_categories": True,
"all_have_fix": True
}
for bottleneck in bottlenecks:
if not isinstance(bottleneck, dict):
checks["is_list"] = False
continue
if "severity" not in bottleneck:
checks["all_have_severity"] = False
elif bottleneck["severity"] not in valid_severities:
checks["valid_severities"] = False
if "category" not in bottleneck:
checks["all_have_category"] = False
elif bottleneck["category"] not in valid_categories:
checks["valid_categories"] = False
if "fix" not in bottleneck or not bottleneck["fix"]:
checks["all_have_fix"] = False
all_pass = all(checks.values())
status = "pass" if all_pass else "warning"
return {
"status": status,
"summary": f"Validated {len(bottlenecks)} bottlenecks",
"checks": checks,
"valid": all_pass,
"bottleneck_count": len(bottlenecks)
}
def validate_architecture_analysis(result: Dict[str, Any]) -> Dict[str, Any]:
"""Validate architecture analysis result."""
required_keys = ["current_pattern", "complexity_score", "recommended_pattern", "refactoring_steps"]
checks = {}
for key in required_keys:
checks[f"has_{key}"] = key in result and result[key] is not None
# Validate complexity score
if "complexity_score" in result:
checks["valid_complexity_score"] = validate_score(result["complexity_score"])
else:
checks["valid_complexity_score"] = False
# Validate refactoring steps
if "refactoring_steps" in result:
checks["has_refactoring_steps"] = isinstance(result["refactoring_steps"], list) and len(result["refactoring_steps"]) > 0
else:
checks["has_refactoring_steps"] = False
all_pass = all(checks.values())
status = "pass" if all_pass else "warning"
return {
"status": status,
"summary": "Architecture analysis validated" if all_pass else "Architecture analysis incomplete",
"checks": checks,
"valid": all_pass
}
def validate_layout_fixes(fixes: List[Dict[str, Any]]) -> Dict[str, Any]:
"""Validate layout fix list."""
if not isinstance(fixes, list):
return {
"status": "error",
"summary": "Fixes must be a list",
"valid": False
}
required_fields = ["location", "original", "fixed", "explanation"]
checks = {
"is_list": True,
"all_have_location": True,
"all_have_explanation": True,
"all_have_fix": True
}
for fix in fixes:
if not isinstance(fix, dict):
checks["is_list"] = False
continue
if "location" not in fix or not fix["location"]:
checks["all_have_location"] = False
if "explanation" not in fix or not fix["explanation"]:
checks["all_have_explanation"] = False
if "fixed" not in fix or not fix["fixed"]:
checks["all_have_fix"] = False
all_pass = all(checks.values())
status = "pass" if all_pass else "warning"
return {
"status": status,
"summary": f"Validated {len(fixes)} fixes",
"checks": checks,
"valid": all_pass,
"fix_count": len(fixes)
}
# Example usage
if __name__ == "__main__":
# Test validation functions
test_issues = [
{
"severity": "CRITICAL",
"category": "performance",
"issue": "Blocking operation",
"location": "main.go:45",
"explanation": "HTTP call blocks event loop",
"fix": "Move to tea.Cmd"
}
]
result = validate_issue_list(test_issues)
print(f"Issue validation: {result}")
health_result = validate_health_score(75)
print(f"Health validation: {health_result}")

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#!/usr/bin/env python3
"""
Tests for diagnose_issue.py
"""
import sys
from pathlib import Path
# Add scripts to path
sys.path.insert(0, str(Path(__file__).parent.parent / 'scripts'))
from diagnose_issue import diagnose_issue, _check_blocking_operations, _check_hardcoded_dimensions
def test_diagnose_issue_basic():
"""Test basic issue diagnosis."""
print("\n✓ Testing diagnose_issue()...")
# Create test Go file
test_code = '''
package main
import tea "github.com/charmbracelet/bubbletea"
type model struct {
width int
height int
}
func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
return m, nil
}
func (m model) View() string {
return "Hello"
}
'''
test_file = Path("/tmp/test_bubbletea_app.go")
test_file.write_text(test_code)
result = diagnose_issue(str(test_file))
assert 'issues' in result, "Missing 'issues' key"
assert 'health_score' in result, "Missing 'health_score' key"
assert 'summary' in result, "Missing 'summary' key"
assert isinstance(result['issues'], list), "Issues should be a list"
assert isinstance(result['health_score'], int), "Health score should be int"
print(f" ✓ Found {len(result['issues'])} issue(s)")
print(f" ✓ Health score: {result['health_score']}/100")
# Cleanup
test_file.unlink()
return True
def test_blocking_operations_detection():
"""Test detection of blocking operations."""
print("\n✓ Testing blocking operation detection...")
test_code = '''
func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
switch msg := msg.(type) {
case tea.KeyMsg:
data, _ := http.Get("https://example.com") // BLOCKING!
m.data = data
}
return m, nil
}
'''
lines = test_code.split('\n')
issues = _check_blocking_operations(test_code, lines, "test.go")
assert len(issues) > 0, "Should detect blocking HTTP request"
assert issues[0]['severity'] == 'CRITICAL', "Should be CRITICAL severity"
assert 'HTTP request' in issues[0]['issue'], "Should identify HTTP as issue"
print(f" ✓ Detected {len(issues)} blocking operation(s)")
print(f" ✓ Severity: {issues[0]['severity']}")
return True
def test_hardcoded_dimensions_detection():
"""Test detection of hardcoded dimensions."""
print("\n✓ Testing hardcoded dimensions detection...")
test_code = '''
func (m model) View() string {
content := lipgloss.NewStyle().
Width(80).
Height(24).
Render(m.content)
return content
}
'''
lines = test_code.split('\n')
issues = _check_hardcoded_dimensions(test_code, lines, "test.go")
assert len(issues) >= 2, "Should detect both Width and Height"
assert any('Width' in i['issue'] for i in issues), "Should detect hardcoded Width"
assert any('Height' in i['issue'] for i in issues), "Should detect hardcoded Height"
print(f" ✓ Detected {len(issues)} hardcoded dimension(s)")
return True
def test_no_issues_clean_code():
"""Test with clean code that has no issues."""
print("\n✓ Testing with clean code...")
test_code = '''
package main
import tea "github.com/charmbracelet/bubbletea"
type model struct {
termWidth int
termHeight int
}
func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
switch msg := msg.(type) {
case tea.WindowSizeMsg:
m.termWidth = msg.Width
m.termHeight = msg.Height
case tea.KeyMsg:
return m, fetchDataCmd // Non-blocking
}
return m, nil
}
func (m model) View() string {
return lipgloss.NewStyle().
Width(m.termWidth).
Height(m.termHeight).
Render("Clean!")
}
func fetchDataCmd() tea.Msg {
// Runs in background
return dataMsg{}
}
'''
test_file = Path("/tmp/test_clean_app.go")
test_file.write_text(test_code)
result = diagnose_issue(str(test_file))
assert result['health_score'] >= 80, "Clean code should have high health score"
print(f" ✓ Health score: {result['health_score']}/100 (expected >=80)")
# Cleanup
test_file.unlink()
return True
def test_invalid_path():
"""Test with invalid file path."""
print("\n✓ Testing with invalid path...")
result = diagnose_issue("/nonexistent/path/file.go")
assert 'error' in result, "Should return error for invalid path"
assert result['validation']['status'] == 'error', "Validation should be error"
print(" ✓ Correctly handled invalid path")
return True
def main():
"""Run all tests."""
print("="*70)
print("UNIT TESTS - diagnose_issue.py")
print("="*70)
tests = [
("Basic diagnosis", test_diagnose_issue_basic),
("Blocking operations", test_blocking_operations_detection),
("Hardcoded dimensions", test_hardcoded_dimensions_detection),
("Clean code", test_no_issues_clean_code),
("Invalid path", test_invalid_path),
]
results = []
for test_name, test_func in tests:
try:
passed = test_func()
results.append((test_name, passed))
except Exception as e:
print(f"\n ❌ FAILED: {e}")
import traceback
traceback.print_exc()
results.append((test_name, False))
# Summary
print("\n" + "="*70)
print("SUMMARY")
print("="*70)
for test_name, passed in results:
status = "✅ PASS" if passed else "❌ FAIL"
print(f"{status}: {test_name}")
passed_count = sum(1 for _, p in results if p)
total_count = len(results)
print(f"\nResults: {passed_count}/{total_count} passed")
return passed_count == total_count
if __name__ == "__main__":
success = main()
sys.exit(0 if success else 1)

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#!/usr/bin/env python3
"""
Integration tests for Bubble Tea Maintenance Agent.
Tests complete workflows combining multiple functions.
"""
import sys
from pathlib import Path
# Add scripts to path
sys.path.insert(0, str(Path(__file__).parent.parent / 'scripts'))
from diagnose_issue import diagnose_issue
from apply_best_practices import apply_best_practices
from debug_performance import debug_performance
from suggest_architecture import suggest_architecture
from fix_layout_issues import fix_layout_issues
from comprehensive_bubbletea_analysis import comprehensive_bubbletea_analysis
# Test fixture: Complete Bubble Tea app
TEST_APP_CODE = '''
package main
import (
"fmt"
"net/http"
"time"
tea "github.com/charmbracelet/bubbletea"
"github.com/charmbracelet/lipgloss"
)
type model struct {
items []string
cursor int
data string
}
func initialModel() model {
return model{
items: []string{"Item 1", "Item 2", "Item 3"},
cursor: 0,
}
}
func (m model) Init() tea.Cmd {
return nil
}
func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
switch msg := msg.(type) {
case tea.KeyMsg:
switch msg.String() {
case "q":
return m, tea.Quit
case "up":
if m.cursor > 0 {
m.cursor--
}
case "down":
if m.cursor < len(m.items)-1 {
m.cursor++
}
case "r":
// ISSUE: Blocking HTTP request!
resp, _ := http.Get("https://example.com")
m.data = resp.Status
}
}
return m, nil
}
func (m model) View() string {
// ISSUE: Hardcoded dimensions
style := lipgloss.NewStyle().
Width(80).
Height(24)
s := "Select an item:\\n\\n"
for i, item := range m.items {
cursor := " "
if m.cursor == i {
cursor = ">"
}
// ISSUE: String concatenation
s += fmt.Sprintf("%s %s\\n", cursor, item)
}
return style.Render(s)
}
func main() {
// ISSUE: No panic recovery!
p := tea.NewProgram(initialModel())
p.Start()
}
'''
def test_full_workflow():
"""Test complete analysis workflow."""
print("\n✓ Testing complete analysis workflow...")
# Create test app
test_dir = Path("/tmp/test_bubbletea_app")
test_dir.mkdir(exist_ok=True)
test_file = test_dir / "main.go"
test_file.write_text(TEST_APP_CODE)
# Run comprehensive analysis
result = comprehensive_bubbletea_analysis(str(test_dir), detail_level="standard")
# Validations
assert 'overall_health' in result, "Missing overall_health"
assert 'sections' in result, "Missing sections"
assert 'priority_fixes' in result, "Missing priority_fixes"
assert 'summary' in result, "Missing summary"
# Check each section
sections = result['sections']
assert 'issues' in sections, "Missing issues section"
assert 'best_practices' in sections, "Missing best_practices section"
assert 'performance' in sections, "Missing performance section"
assert 'architecture' in sections, "Missing architecture section"
assert 'layout' in sections, "Missing layout section"
# Should find issues in test code
assert len(result.get('priority_fixes', [])) > 0, "Should find priority fixes"
health = result['overall_health']
assert 0 <= health <= 100, f"Health score {health} out of range"
print(f" ✓ Overall health: {health}/100")
print(f" ✓ Sections analyzed: {len(sections)}")
print(f" ✓ Priority fixes: {len(result['priority_fixes'])}")
# Cleanup
test_file.unlink()
test_dir.rmdir()
return True
def test_issue_diagnosis_finds_problems():
"""Test that diagnosis finds the known issues."""
print("\n✓ Testing issue diagnosis...")
test_dir = Path("/tmp/test_diagnosis")
test_dir.mkdir(exist_ok=True)
test_file = test_dir / "main.go"
test_file.write_text(TEST_APP_CODE)
result = diagnose_issue(str(test_dir))
# Should find:
# 1. Blocking HTTP request in Update()
# 2. Hardcoded dimensions (80, 24)
# (Note: Not all detections may trigger depending on pattern matching)
issues = result.get('issues', [])
assert len(issues) >= 1, f"Expected at least 1 issue, found {len(issues)}"
# Check that HTTP blocking issue was found
issue_texts = ' '.join([i['issue'] for i in issues])
assert 'HTTP' in issue_texts or 'http' in issue_texts.lower(), "Should find HTTP blocking issue"
print(f" ✓ Found {len(issues)} issue(s)")
print(f" ✓ Health score: {result['health_score']}/100")
# Cleanup
test_file.unlink()
test_dir.rmdir()
return True
def test_performance_finds_bottlenecks():
"""Test that performance analysis finds bottlenecks."""
print("\n✓ Testing performance analysis...")
test_dir = Path("/tmp/test_performance")
test_dir.mkdir(exist_ok=True)
test_file = test_dir / "main.go"
test_file.write_text(TEST_APP_CODE)
result = debug_performance(str(test_dir))
# Should find:
# 1. Blocking HTTP in Update()
# (Other bottlenecks may be detected depending on patterns)
bottlenecks = result.get('bottlenecks', [])
assert len(bottlenecks) >= 1, f"Expected at least 1 bottleneck, found {len(bottlenecks)}"
# Check for critical bottlenecks
critical = [b for b in bottlenecks if b['severity'] == 'CRITICAL']
assert len(critical) > 0, "Should find CRITICAL bottlenecks"
print(f" ✓ Found {len(bottlenecks)} bottleneck(s)")
print(f" ✓ Critical: {len(critical)}")
# Cleanup
test_file.unlink()
test_dir.rmdir()
return True
def test_layout_finds_issues():
"""Test that layout analysis finds issues."""
print("\n✓ Testing layout analysis...")
test_dir = Path("/tmp/test_layout")
test_dir.mkdir(exist_ok=True)
test_file = test_dir / "main.go"
test_file.write_text(TEST_APP_CODE)
result = fix_layout_issues(str(test_dir))
# Should find:
# 1. Hardcoded dimensions or missing resize handling
layout_issues = result.get('layout_issues', [])
assert len(layout_issues) >= 1, f"Expected at least 1 layout issue, found {len(layout_issues)}"
# Check for layout-related issues
issue_types = [i['type'] for i in layout_issues]
has_layout_issue = any(t in ['hardcoded_dimensions', 'missing_resize_handling'] for t in issue_types)
assert has_layout_issue, "Should find layout issues"
print(f" ✓ Found {len(layout_issues)} layout issue(s)")
# Cleanup
test_file.unlink()
test_dir.rmdir()
return True
def test_architecture_analysis():
"""Test architecture pattern detection."""
print("\n✓ Testing architecture analysis...")
test_dir = Path("/tmp/test_arch")
test_dir.mkdir(exist_ok=True)
test_file = test_dir / "main.go"
test_file.write_text(TEST_APP_CODE)
result = suggest_architecture(str(test_dir))
# Should detect pattern and provide recommendations
assert 'current_pattern' in result, "Missing current_pattern"
assert 'complexity_score' in result, "Missing complexity_score"
assert 'recommended_pattern' in result, "Missing recommended_pattern"
assert 'refactoring_steps' in result, "Missing refactoring_steps"
complexity = result['complexity_score']
assert 0 <= complexity <= 100, f"Complexity {complexity} out of range"
print(f" ✓ Current pattern: {result['current_pattern']}")
print(f" ✓ Complexity: {complexity}/100")
print(f" ✓ Recommended: {result['recommended_pattern']}")
# Cleanup
test_file.unlink()
test_dir.rmdir()
return True
def test_all_functions_return_valid_structure():
"""Test that all functions return valid result structures."""
print("\n✓ Testing result structure validity...")
test_dir = Path("/tmp/test_structure")
test_dir.mkdir(exist_ok=True)
test_file = test_dir / "main.go"
test_file.write_text(TEST_APP_CODE)
# Test all functions
results = {
"diagnose_issue": diagnose_issue(str(test_dir)),
"apply_best_practices": apply_best_practices(str(test_dir)),
"debug_performance": debug_performance(str(test_dir)),
"suggest_architecture": suggest_architecture(str(test_dir)),
"fix_layout_issues": fix_layout_issues(str(test_dir)),
}
for func_name, result in results.items():
# Each should have validation
assert 'validation' in result, f"{func_name}: Missing validation"
assert 'status' in result['validation'], f"{func_name}: Missing validation status"
assert 'summary' in result['validation'], f"{func_name}: Missing validation summary"
print(f" ✓ {func_name}: Valid structure")
# Cleanup
test_file.unlink()
test_dir.rmdir()
return True
def main():
"""Run all integration tests."""
print("="*70)
print("INTEGRATION TESTS - Bubble Tea Maintenance Agent")
print("="*70)
tests = [
("Full workflow", test_full_workflow),
("Issue diagnosis", test_issue_diagnosis_finds_problems),
("Performance analysis", test_performance_finds_bottlenecks),
("Layout analysis", test_layout_finds_issues),
("Architecture analysis", test_architecture_analysis),
("Result structure validity", test_all_functions_return_valid_structure),
]
results = []
for test_name, test_func in tests:
try:
passed = test_func()
results.append((test_name, passed))
except Exception as e:
print(f"\n ❌ FAILED: {e}")
import traceback
traceback.print_exc()
results.append((test_name, False))
# Summary
print("\n" + "="*70)
print("SUMMARY")
print("="*70)
for test_name, passed in results:
status = "✅ PASS" if passed else "❌ FAIL"
print(f"{status}: {test_name}")
passed_count = sum(1 for _, p in results if p)
total_count = len(results)
print(f"\nResults: {passed_count}/{total_count} passed")
return passed_count == total_count
if __name__ == "__main__":
success = main()
sys.exit(0 if success else 1)