docs: update progress for story 4.0
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=== HABIT TRACKER FEATURE PROGRESS ===
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Date: 2026-02-10
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Branch: feature/habit-tracker
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Repo: /home/moltbot/clawd
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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COMPLETED STORIES:
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[✓] Story 1.0: Define habits.json data schema
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Commit: ee8727a
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Date: 2026-02-10
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Implementation:
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- Created dashboard/habits.json with proper schema
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- Root structure: lastUpdated (ISO timestamp) + habits (array)
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- Habit schema: id (string), name (string), frequency (daily/weekly),
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createdAt (ISO), completions (array of ISO dates)
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- Initial file contains empty habits array with current timestamp
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- All JSON validation passes
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Tests:
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- Created dashboard/test_habits_schema.py
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- Tests for file existence, valid JSON, root structure
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- Tests for lastUpdated ISO format validation
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- Tests for habits array type
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- Tests for complete habit schema (all required fields + types)
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- Tests for initial empty state
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- All tests pass ✓
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Files modified:
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- dashboard/habits.json (created)
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- dashboard/test_habits_schema.py (created)
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[✓] Story 2.0: Backend API - GET /api/habits
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Commit: fc5ebf2
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Date: 2026-02-10
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Implementation:
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- Added GET /api/habits endpoint to dashboard/api.py
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- Endpoint returns habits array and lastUpdated timestamp
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- Graceful error handling: returns empty array if file missing/corrupt
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- Follows existing API patterns (similar to /api/git, /api/status)
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- Returns 200 status for all valid requests
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Tests:
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- Created dashboard/test_habits_api.py
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- Tests for endpoint existence (returns 200)
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- Tests for valid JSON response
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- Tests for response structure (habits array + lastUpdated)
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- Tests for ISO timestamp validation
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- Tests for empty file handling (returns [], not error)
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- Tests for habits with data
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- All 6 tests pass ✓
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Files modified:
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- dashboard/api.py (added handle_habits_get method + route)
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- dashboard/test_habits_api.py (created)
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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CODEBASE PATTERNS:
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1. JSON Data Files
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- Location: dashboard/*.json
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- Pattern: Similar structure to tasks.json, todos.json, issues.json
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- All use ISO timestamps for dates
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- Root objects contain metadata + data arrays
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2. Testing Approach
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- Python test files in dashboard/ directory
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- Test naming: test_*.py
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- Comprehensive validation: existence, JSON validity, schema, types
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- Run tests from repo root with: python3 dashboard/test_*.py
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3. Build Validation
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- Command: python3 -m py_compile dashboard/api.py
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- Validates Python syntax without executing
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4. Utility Functions in api.py
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- Standalone utility functions placed before TaskBoardHandler class
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- Documented with docstrings (Args, Returns, Rules/behavior)
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- ISO timestamp parsing pattern: datetime.fromisoformat(ts.replace('Z', '+00:00'))
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- Convert to date only when time doesn't matter: dt.date()
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- Use try/except for robust parsing with sensible defaults (return 0, [], etc.)
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[✓] Story 3.0: Backend API - POST /api/habits (create habit)
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Commit: 3a09e6c
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Date: 2026-02-10
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Implementation:
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- Added POST /api/habits endpoint to dashboard/api.py
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- Accepts {name, frequency} in request body
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- Returns 400 for missing name or empty name (after trim)
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- Returns 400 for invalid frequency (must be 'daily' or 'weekly')
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- Generates unique id following format 'habit-{millisecond_timestamp}'
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- Sets createdAt to current ISO timestamp
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- Initializes completions array as empty
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- Persists new habit to habits.json
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- Updates lastUpdated timestamp in habits.json
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- Returns 201 status with created habit object
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- Graceful handling of missing/corrupt habits.json file
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Tests:
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- Created dashboard/test_habits_post.py
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- Tests for successful habit creation (returns 201 + full habit object)
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- Tests for habit persistence to habits.json
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- Tests for correct id format (habit-{timestamp})
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- Tests for missing name validation (400)
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- Tests for empty name validation (400)
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- Tests for invalid frequency validation (400)
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- Tests for missing frequency validation (400)
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- Tests for creating multiple habits (unique IDs)
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- Tests for lastUpdated timestamp update
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- All 9 tests pass ✓
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Files modified:
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- dashboard/api.py (added handle_habits_post method + route)
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- dashboard/test_habits_post.py (created)
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[✓] Story 4.0: Backend API - Streak calculation utility
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Commit: 3927b7c
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Date: 2026-02-10
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Implementation:
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- Created calculate_streak(completions, frequency) utility function
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- Added to dashboard/api.py as standalone function (before TaskBoardHandler class)
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- Accepts completions array (ISO timestamps) and frequency ('daily' or 'weekly')
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- Returns integer streak count (days for daily, weeks for weekly)
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- Daily habits: counts consecutive days without gaps
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- Weekly habits: counts consecutive weeks (7-day periods)
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- Returns 0 for no completions, invalid dates, or broken streaks
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- Edge case: today's completion counts even if streak was 0 yesterday
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- Edge case: multiple completions same day/week count as one period
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- Robust date parsing with error handling for invalid ISO timestamps
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Tests:
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- Created dashboard/test_habits_streak.py
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- Tests for no completions (returns 0)
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- Tests for daily single completion (today and yesterday)
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- Tests for daily consecutive days (5 days streak)
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- Tests for daily broken streak (gap detection)
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- Tests for daily old completion (>1 day ago returns 0)
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- Tests for weekly single completion (this week)
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- Tests for weekly consecutive weeks (4 weeks streak)
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- Tests for weekly broken streak (missing week)
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- Tests for weekly old completion (>7 days ago returns 0)
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- Tests for multiple completions same day (deduplicated)
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- Tests for today counting despite yesterday missing
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- Tests for invalid date format handling
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- Tests for weekly multiple in same week (deduplicated)
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- All 14 tests pass ✓
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- All previous tests (schema, GET, POST) still pass ✓
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Files modified:
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- dashboard/api.py (added calculate_streak function)
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- dashboard/test_habits_streak.py (created)
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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NEXT STEPS:
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- Continue with remaining 14 stories
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