# Week 3 Implementation Plan - v0.13.0 Proactive Intelligence

**Date Started**: October 27, 2025
**Status**: 🚀 In Progress
**Target Completion**: November 2, 2025 (7 days)

---

## 📋 Overview

Week 3 completes the Proactive Intelligence feature with advanced context awareness, integration testing, and release preparation.

---

## 🎯 Goals

1. **Context Intelligence**: Work session tracking, next action prediction
2. **MCP Tools**: 3 new context-aware MCP tools
3. **Integration**: Comprehensive end-to-end testing
4. **Documentation**: User guides and API reference
5. **Release**: v0.13.0 production-ready release

---

## 📅 Day-by-Day Plan

### Day 1-2 (Oct 27-28): Context Intelligence Implementation

**Goal**: Enhanced context awareness with session tracking and action prediction

#### Tasks

##### 1. Extend ProjectContext Model ✅
**File**: `clauxton/proactive/context_manager.py`

Add new fields:
```python
class ProjectContext(BaseModel):
    # ... existing fields ...

    # NEW: Session analysis
    session_duration_minutes: Optional[int] = None
    focus_score: Optional[float] = None  # 0.0-1.0
    breaks_detected: int = 0

    # NEW: Prediction
    predicted_next_action: Optional[Dict[str, Any]] = None

    # NEW: Git stats
    uncommitted_changes: int = 0
    diff_stats: Optional[Dict[str, int]] = None  # {"additions": X, "deletions": Y}
```

##### 2. Implement analyze_work_session()
**File**: `clauxton/proactive/context_manager.py`

```python
def analyze_work_session(self) -> Dict[str, Any]:
    """
    Analyze current work session.

    Returns:
        {
            "duration_minutes": int,
            "focus_score": float,  # 0.0-1.0
            "breaks": List[Dict],
            "file_switches": int,
            "active_periods": List[Dict]
        }
    """
```

**Algorithm**:
- Duration: `now - work_session_start`
- Focus score: Based on file switch frequency (fewer switches = higher focus)
  - High focus (0.8-1.0): <5 file switches per hour
  - Medium focus (0.5-0.8): 5-15 switches per hour
  - Low focus (0.0-0.5): >15 switches per hour
- Breaks: Periods of >15min with no file changes

##### 3. Implement predict_next_action()
**File**: `clauxton/proactive/context_manager.py`

```python
def predict_next_action(self) -> Dict[str, Any]:
    """
    Predict likely next action based on context.

    Returns:
        {
            "action": str,  # "task_completion", "test_writing", "documentation", etc.
            "task_id": Optional[str],
            "confidence": float,  # 0.0-1.0
            "reasoning": str
        }
    """
```

**Prediction Logic**:
1. **Recent file changes**:
   - If editing test file → predict "run_tests"
   - If editing implementation file → predict "test_writing"
   - If editing docs → predict "documentation_review"

2. **Time context**:
   - Morning (6-12) → predict "planning" or "code_review"
   - Afternoon (12-17) → predict "implementation"
   - Evening (17-22) → predict "documentation" or "code_review"

3. **Git context**:
   - Uncommitted changes >10 files → predict "commit_preparation"
   - Feature branch + many changes → predict "pr_creation"

4. **Pattern matching**:
   - If user typically commits after 5-10 file changes → predict "commit"

##### 4. Enhance Git Context
**File**: `clauxton/proactive/context_manager.py`

```python
def _get_git_diff_stats(self) -> Dict[str, int]:
    """Get uncommitted changes statistics."""
    # git diff --stat
    # Returns: {"additions": X, "deletions": Y, "files_changed": Z}
```

#### Tests (22+ tests)

**File**: `tests/proactive/test_context_week3.py` (NEW)

1. **Session Analysis** (8 tests):
   - test_session_duration_calculation
   - test_focus_score_high (few file switches)
   - test_focus_score_low (many file switches)
   - test_break_detection (15min gaps)
   - test_no_breaks_continuous_work
   - test_multiple_breaks_detected
   - test_session_with_no_start_time
   - test_active_periods_calculation

2. **Action Prediction** (8 tests):
   - test_predict_run_tests (test file edited)
   - test_predict_test_writing (impl file edited)
   - test_predict_commit (many uncommitted)
   - test_predict_pr_creation (feature branch + changes)
   - test_predict_morning_planning
   - test_predict_afternoon_implementation
   - test_predict_with_no_context
   - test_prediction_confidence_scoring

3. **Git Stats** (6 tests):
   - test_get_diff_stats_with_changes
   - test_get_diff_stats_clean_repo
   - test_uncommitted_changes_count
   - test_diff_stats_large_changes
   - test_git_stats_caching
   - test_git_not_available_fallback

**Deliverable (Day 1-2)**: Enhanced context manager with 22+ tests ✅

---

### Day 3 (Oct 29): MCP Tools - Context

**Goal**: Expose new context features via MCP tools

#### Tasks

##### 1. Implement analyze_work_session MCP Tool
**File**: `clauxton/mcp/server.py`

```python
@server.call_tool()
async def analyze_work_session() -> dict:
    """
    Analyze current work session.

    Returns:
        {
            "status": "success",
            "session": {
                "duration_minutes": int,
                "focus_score": float,
                "breaks": List[Dict],
                "patterns": List[str]
            }
        }
    """
```

##### 2. Implement predict_next_action MCP Tool
**File**: `clauxton/mcp/server.py`

```python
@server.call_tool()
async def predict_next_action() -> dict:
    """
    Predict likely next action based on context.

    Returns:
        {
            "status": "success",
            "prediction": {
                "action": str,
                "task_id": Optional[str],
                "confidence": float,
                "reasoning": str
            }
        }
    """
```

##### 3. Enhance get_current_context MCP Tool
**File**: `clauxton/mcp/server.py`

Update existing tool to include new fields:
- session_duration_minutes
- focus_score
- predicted_next_action
- diff_stats

#### Tests (15+ tests)

**File**: `tests/proactive/test_mcp_context.py` (NEW)

1. **analyze_work_session** (6 tests):
   - test_analyze_work_session_basic
   - test_analyze_work_session_with_breaks
   - test_analyze_work_session_high_focus
   - test_analyze_work_session_low_focus
   - test_analyze_work_session_no_session
   - test_analyze_work_session_error_handling

2. **predict_next_action** (6 tests):
   - test_predict_next_action_run_tests
   - test_predict_next_action_commit
   - test_predict_next_action_pr_creation
   - test_predict_next_action_morning_context
   - test_predict_next_action_no_context
   - test_predict_next_action_low_confidence

3. **get_current_context** (3 tests):
   - test_get_current_context_with_new_fields
   - test_get_current_context_caching
   - test_get_current_context_integration

**Deliverable (Day 3)**: 3 MCP tools with 15+ tests ✅

---

### Day 4-5 (Oct 30-31): Integration & Documentation

**Goal**: Comprehensive testing and complete documentation

#### Day 4: Integration Testing

##### End-to-End Integration Tests (20+ tests)

**File**: `tests/proactive/test_integration_week3.py` (NEW)

**Test Scenarios**:

1. **Full Development Workflow** (5 tests):
   - test_morning_workflow (planning → task selection)
   - test_implementation_workflow (code → test → commit)
   - test_review_workflow (PR creation → review)
   - test_afternoon_coding_session (sustained focus)
   - test_context_switch_workflow (multiple tasks)

2. **Session Tracking** (5 tests):
   - test_session_start_to_break_to_resume
   - test_long_session_with_multiple_breaks
   - test_short_focused_session
   - test_fragmented_low_focus_session
   - test_session_across_multiple_days

3. **Prediction Accuracy** (5 tests):
   - test_predict_commit_after_many_changes
   - test_predict_pr_after_feature_complete
   - test_predict_test_after_implementation
   - test_predict_doc_after_evening_time
   - test_prediction_confidence_calibration

4. **MCP Tool Chaining** (5 tests):
   - test_watch_changes_then_analyze_session
   - test_suggest_kb_then_predict_action
   - test_detect_anomaly_then_context_analysis
   - test_full_proactive_workflow
   - test_concurrent_mcp_tool_calls

**Performance Tests** (additional):
- test_session_analysis_performance (<50ms)
- test_prediction_performance (<100ms)
- test_context_caching_effectiveness
- test_memory_usage_under_load

#### Day 5: Documentation

##### 1. Claude Code Integration Guide
**File**: `docs/CLAUDE_CODE_INTEGRATION_v0.13.0.md` (NEW)

**Contents**:
- Overview: How Clauxton enhances Claude Code
- Real-world examples:
  - File monitoring → automatic suggestions
  - Session analysis → focus optimization
  - Next action prediction → proactive help
- MCP tool reference (all 42 tools)
- Best practices for Claude Code users
- Troubleshooting

##### 2. Configuration Guide
**File**: `docs/CONFIGURATION_v0.13.0.md` (NEW)

**Contents**:
- Monitoring configuration (watchdog, debounce, ignore patterns)
- Suggestion thresholds
- Learning settings
- Context analysis settings
- Example configurations for different workflows

##### 3. Update MCP Server Documentation
**File**: `docs/mcp-server.md` (UPDATE)

Add documentation for 3 new MCP tools:
- `analyze_work_session()`
- `predict_next_action()`
- Enhanced `get_current_context()`

##### 4. Update README
**File**: `README.md` (UPDATE)

- Add v0.13.0 feature highlights
- Update MCP tool count (32 → 42... wait, need to recount)
- Add Proactive Intelligence section
- Update success metrics

**Deliverable (Day 4-5)**: 20+ integration tests + complete documentation ✅

---

### Day 6-7 (Nov 1-2): Release Preparation

**Goal**: Production-ready v0.13.0 release

#### Day 6: Quality Validation

##### 1. Run Full Test Suite
```bash
pytest
# Target: 1,750+ tests passing (current: 1,637 + ~130 new)
```

##### 2. Coverage Analysis
```bash
pytest --cov=clauxton --cov-report=html --cov-report=term
# Target: >85% overall coverage
```

##### 3. Lint & Type Check
```bash
ruff check clauxton tests
mypy clauxton --strict
# Target: 0 errors
```

##### 4. Performance Validation

**Benchmarks**:
- File monitoring latency: <10ms (p95)
- Suggestion generation: <100ms (p95)
- Session analysis: <50ms (p95)
- Action prediction: <100ms (p95)
- Background CPU: <5% average
- Memory overhead: <50MB

##### 5. Manual Testing Checklist

- [ ] Enable/disable file monitoring
- [ ] File changes trigger suggestions
- [ ] Accept/reject suggestions updates learning
- [ ] Context switches detected correctly
- [ ] Session analysis accurate
- [ ] Next action predictions reasonable
- [ ] All MCP tools callable from Claude Code
- [ ] Documentation accurate and complete

#### Day 7: Release

##### 1. Version Bump
**Files to update**:
- `clauxton/__version__.py`: `0.12.0` → `0.13.0`
- `pyproject.toml`: version = `"0.13.0"`

##### 2. CHANGELOG Update
**File**: `CHANGELOG.md`

```markdown
## [0.13.0] - 2025-11-02

### Added - Proactive Intelligence 🚀

**File Monitoring**:
- Real-time file watching with watchdog integration
- Intelligent change detection and pattern recognition
- Debouncing for performance (500ms default)
- MCP tools: `watch_project_changes()`, `get_recent_changes()`

**Proactive Suggestions**:
- Context-aware KB entry and task suggestions
- Anomaly detection (unusual patterns, late-night work)
- Relevance scoring (semantic + temporal + behavioral)
- MCP tools: `suggest_kb_updates()`, `detect_anomalies()`

**Behavioral Learning**:
- User interaction tracking (accept/reject suggestions)
- Preference learning (category preferences, active hours)
- Confidence adjustment based on acceptance rate
- 100% local, privacy-preserving
- MCP tools: `record_interaction()`, `get_user_preferences()`

**Context Intelligence** (Week 3):
- Work session analysis (duration, focus score, breaks)
- Next action prediction based on patterns
- Enhanced git context (diff stats, uncommitted changes)
- MCP tools: `analyze_work_session()`, `predict_next_action()`

**MCP Integration**:
- 10 new MCP tools (32 → 42 total)
- Full integration with Claude Code
- Async support for background operations

### Performance
- File monitoring: <10ms latency (p95)
- Suggestion generation: <100ms (p95)
- Background CPU: <5% average
- Memory overhead: <50MB

### Testing
- 130+ new tests
- Total: 1,750+ tests (from 1,637)
- Coverage: 86%+ overall, 91-100% for proactive module

### Documentation
- Proactive Monitoring Guide
- Claude Code Integration Guide
- Configuration Guide
- MCP Server Reference (updated)

### Dependencies
- Added: `watchdog>=3.0.0` (file system monitoring)

### Breaking Changes
- None

## [0.12.0] - 2025-10-15 (previous release)
...
```

##### 3. Build Package
```bash
python -m build
twine check dist/*
```

##### 4. Create Git Tag
```bash
git tag -a v0.13.0 -m "Release v0.13.0 - Proactive Intelligence"
git push origin v0.13.0
```

##### 5. PyPI Upload
```bash
twine upload dist/*
```

##### 6. GitHub Release
- Create release notes from CHANGELOG
- Highlight key features
- Add installation instructions
- Link to documentation

**Deliverable (Day 6-7)**: v0.13.0 released to PyPI 🎉

---

## 📊 Success Metrics

### Testing
- [x] Total tests: 1,750+ (target)
- [ ] Pass rate: 100%
- [ ] Coverage: >85%
- [ ] Lint errors: 0
- [ ] Type errors: 0

### Performance
- [ ] File monitoring: <10ms latency
- [ ] Suggestions: <100ms generation
- [ ] Session analysis: <50ms
- [ ] Background CPU: <5%
- [ ] Memory: <50MB overhead

### Documentation
- [ ] Claude Code Integration Guide
- [ ] Configuration Guide
- [ ] MCP Server Reference updated
- [ ] README updated
- [ ] CHANGELOG complete

### Release
- [ ] Version bumped (v0.13.0)
- [ ] Git tag created
- [ ] PyPI package uploaded
- [ ] GitHub release published

---

## 🚀 Current Status

**Day 1 (Oct 27)**: In Progress
- [x] Week 2 improvements committed
- [ ] ProjectContext model extended
- [ ] analyze_work_session() implemented
- [ ] predict_next_action() implemented
- [ ] Git stats enhancement
- [ ] Tests (22+ tests)

---

**Next Steps**: Extend ProjectContext model and implement session analysis.
