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GOOGLE_API_STATUS.md

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Google API Integration Status

✅ WORKING - Real Data Being Used

Google Calendar API

  • Status: WORKING
  • Real Data: Yes - retrieving actual calendar events
  • Example: "ADHD Focus Time" event detected
  • Used in: State gathering for upcoming events

Google Tasks API

  • Status: WORKING
  • Real Data: Yes - 32 tasks retrieved
  • Urgent Tasks: "Call Hobart ADHD", "Prepare Statement for Lawyer"
  • High Priority: "Meds (9am)", "Nicotine Patch!", "Meds (Midday)"
  • Used in: Claude receives these in the prompt for decision-making

Google Fit API

  • Status: WORKING
  • Real Data: Yes - 709 steps today
  • Movement Detection: Correctly identifies "needs movement"
  • Used in: Physical state assessment

⚠️ Hardcoded Values Still Present

These values in claude_cognitive_engine_v2.py are still hardcoded but SHOULD be dynamic:

Currently Hardcoded:

  1. Sitting duration (line 465): Returns fixed 30 minutes
  2. Last hydration (line 468): Returns fixed 45 minutes
  3. Medication times (lines 506-509): Fixed "8:00 AM" / "8:00 PM"
  4. Crash times (line 521): Fixed ["3:00 PM", "8:00 PM"]
  5. Hyperfocus triggers (line 524): Fixed ["coding", "research", "gaming"]
  6. Success rate (line 527): Fixed 0.65
  7. Last nudge/break times (lines 530-533): Fixed strings
  8. Ambient noise (line 495): Returns "moderate"
  9. Distractions (line 501): Returns empty list

Should Be Dynamic From:

  • Sitting/hydration: Track via Redis timestamps or movement sensors
  • Medication: User preferences or calendar reminders
  • Crash times: Learn from user patterns over time
  • Hyperfocus triggers: Learn from task history
  • Success rate: Calculate from completed vs planned tasks
  • Ambient noise: Environment sensors or user input
  • Distractions: Calendar conflicts, notification counts

📊 Data Flow to Claude

Despite some hardcoded values, Claude IS receiving:

  • ✅ Real calendar events
  • ✅ Real task lists with priorities
  • ✅ Real step counts and movement data
  • ✅ Actual device availability (Nest speakers)
  • ✅ Current time and temporal context

Impact Assessment

The hardcoded values are not critical because:

  1. Most important data (tasks, calendar, fitness) is real
  2. Hardcoded values provide reasonable defaults
  3. System still makes intelligent decisions based on real data
  4. Can be improved incrementally without breaking functionality

Recommendations

  1. Priority 1: Keep using real Google data (working well!)
  2. Priority 2: Track sitting/hydration via Redis timestamps
  3. Priority 3: Learn patterns over time to replace hardcoded crash times
  4. Future: Add environment sensors for ambient data