     1→"""
     2→Pydantic models for daily health metrics.
     3→
     4→Includes models for steps, heart rate, sleep, stress, body battery, and more.
     5→"""
     6→
     7→from datetime import date as date_type, time as time_type
     8→from typing import Optional, List, Dict, Any
     9→from pydantic import BaseModel, Field
    10→
    11→
    12→class StepsData(BaseModel):
    13→    """Daily step count and related metrics."""
    14→
    15→    date: date_type = Field(..., description="Date of the data")
    16→    total_steps: Optional[int] = Field(default=None, description="Total steps taken")
    17→    total_distance_meters: Optional[float] = Field(
    18→        default=None, description="Total distance in meters"
    19→    )
    20→    calories_burned: Optional[int] = Field(
    21→        default=None, description="Calories burned from steps"
    22→    )
    23→    step_goal: Optional[int] = Field(default=None, description="Daily step goal")
    24→    raw_data: Optional[Dict[str, Any]] = Field(
    25→        default=None, description="Raw API response"
    26→    )
    27→
    28→
    29→class HeartRateData(BaseModel):
    30→    """Daily heart rate metrics."""
    31→
    32→    date: date_type = Field(..., description="Date of the data")
    33→    resting_heart_rate: Optional[int] = Field(
    34→        default=None, description="Resting heart rate in bpm"
    35→    )
    36→    min_heart_rate: Optional[int] = Field(
    37→        default=None, description="Minimum heart rate in bpm"
    38→    )
    39→    max_heart_rate: Optional[int] = Field(
    40→        default=None, description="Maximum heart rate in bpm"
    41→    )
    42→    average_heart_rate: Optional[int] = Field(
    43→        default=None, description="Average heart rate in bpm"
    44→    )
    45→    heart_rate_zones: Optional[Dict[str, int]] = Field(
    46→        default=None, description="Time in each heart rate zone (minutes)"
    47→    )
    48→    raw_data: Optional[Dict[str, Any]] = Field(
    49→        default=None, description="Raw API response"
    50→    )
    51→
    52→
    53→class SleepData(BaseModel):
    54→    """Daily sleep metrics."""
    55→
    56→    date: date_type = Field(..., description="Date of the sleep (night)")
    57→    total_sleep_seconds: Optional[int] = Field(
    58→        default=None, description="Total sleep time in seconds"
    59→    )
    60→    deep_sleep_seconds: Optional[int] = Field(
    61→        default=None, description="Deep sleep time in seconds"
    62→    )
    63→    light_sleep_seconds: Optional[int] = Field(
    64→        default=None, description="Light sleep time in seconds"
    65→    )
    66→    rem_sleep_seconds: Optional[int] = Field(
    67→        default=None, description="REM sleep time in seconds"
    68→    )
    69→    awake_seconds: Optional[int] = Field(
    70→        default=None, description="Time awake in seconds"
    71→    )
    72→    sleep_score: Optional[int] = Field(
    73→        default=None, description="Overall sleep quality score (0-100)"
    74→    )
    75→    sleep_start_time: Optional[time_type] = Field(
    76→        default=None, description="Sleep start time"
    77→    )
    78→    sleep_end_time: Optional[time_type] = Field(default=None, description="Sleep end time")
    79→    sleep_levels: Optional[List[Dict[str, Any]]] = Field(
    80→        default=None, description="Detailed sleep level timeline"
    81→    )
    82→    raw_data: Optional[Dict[str, Any]] = Field(
    83→        default=None, description="Raw API response"
    84→    )
    85→
    86→
    87→class StressData(BaseModel):
    88→    """Daily stress level metrics."""
    89→
    90→    date: date_type = Field(..., description="Date of the data")
    91→    average_stress_level: Optional[int] = Field(
    92→        default=None, description="Average stress level (0-100)"
    93→    )
    94→    max_stress_level: Optional[int] = Field(
    95→        default=None, description="Maximum stress level (0-100)"
    96→    )
    97→    rest_stress_duration_seconds: Optional[int] = Field(
    98→        default=None, description="Time in rest/low stress state"
    99→    )
   100→    activity_stress_duration_seconds: Optional[int] = Field(
   101→        default=None, description="Time in activity stress state"
   102→    )
   103→    low_stress_duration_seconds: Optional[int] = Field(
   104→        default=None, description="Time in low stress state"
   105→    )
   106→    medium_stress_duration_seconds: Optional[int] = Field(
   107→        default=None, description="Time in medium stress state"
   108→    )
   109→    high_stress_duration_seconds: Optional[int] = Field(
   110→        default=None, description="Time in high stress state"
   111→    )
   112→    stress_timeline: Optional[List[Any]] = Field(
   113→        default=None, description="Detailed stress timeline (list of [timestamp, value] pairs)"
   114→    )
   115→    raw_data: Optional[Dict[str, Any]] = Field(
   116→        default=None, description="Raw API response"
   117→    )
   118→
   119→
   120→class BodyBatteryData(BaseModel):
   121→    """Daily Body Battery metrics."""
   122→
   123→    date: date_type = Field(..., description="Date of the data")
   124→    charged: Optional[int] = Field(
   125→        default=None, description="Total Body Battery charged"
   126→    )
   127→    drained: Optional[int] = Field(
   128→        default=None, description="Total Body Battery drained"
   129→    )
   130→    highest_value: Optional[int] = Field(
   131→        default=None, description="Highest Body Battery value (0-100)"
   132→    )
   133→    lowest_value: Optional[int] = Field(
   134→        default=None, description="Lowest Body Battery value (0-100)"
   135→    )
   136→    most_recent_value: Optional[int] = Field(
   137→        default=None, description="Most recent Body Battery value"
   138→    )
   139→    timeline: Optional[List[Any]] = Field(
   140→        default=None, description="Detailed Body Battery timeline (list of [timestamp, value] pairs)"
   141→    )
   142→    raw_data: Optional[Dict[str, Any]] = Field(
   143→        default=None, description="Raw API response"
   144→    )
   145→
   146→
   147→class SpO2Data(BaseModel):
   148→    """Daily blood oxygen saturation metrics."""
   149→
   150→    date: date_type = Field(..., description="Date of the data")
   151→    average_spo2: Optional[float] = Field(
   152→        default=None, description="Average SpO2 percentage"
   153→    )
   154→    min_spo2: Optional[float] = Field(
   155→        default=None, description="Minimum SpO2 percentage"
   156→    )
   157→    max_spo2: Optional[float] = Field(
   158→        default=None, description="Maximum SpO2 percentage"
   159→    )
   160→    readings: Optional[List[Dict[str, Any]]] = Field(
   161→        default=None, description="Individual SpO2 readings"
   162→    )
   163→    raw_data: Optional[Dict[str, Any]] = Field(
   164→        default=None, description="Raw API response"
   165→    )
   166→
   167→
   168→class RespirationData(BaseModel):
   169→    """Daily respiration rate metrics."""
   170→
   171→    date: date_type = Field(..., description="Date of the data")
   172→    average_respiration_rate: Optional[float] = Field(
   173→        default=None, description="Average breaths per minute"
   174→    )
   175→    min_respiration_rate: Optional[float] = Field(
   176→        default=None, description="Minimum breaths per minute"
   177→    )
   178→    max_respiration_rate: Optional[float] = Field(
   179→        default=None, description="Maximum breaths per minute"
   180→    )
   181→    raw_data: Optional[Dict[str, Any]] = Field(
   182→        default=None, description="Raw API response"
   183→    )
   184→
   185→
   186→class HydrationData(BaseModel):
   187→    """Daily hydration tracking."""
   188→
   189→    date: date_type = Field(..., description="Date of the data")
   190→    total_intake_ml: Optional[int] = Field(
   191→        default=None, description="Total water intake in milliliters"
   192→    )
   193→    goal_ml: Optional[int] = Field(default=None, description="Daily hydration goal")
   194→    raw_data: Optional[Dict[str, Any]] = Field(
   195→        default=None, description="Raw API response"
   196→    )
   197→
   198→
   199→class FloorsData(BaseModel):
   200→    """Daily floors climbed."""
   201→
   202→    date: date_type = Field(..., description="Date of the data")
   203→    floors_climbed: Optional[int] = Field(
   204→        default=None, description="Number of floors climbed"
   205→    )
   206→    floors_descended: Optional[int] = Field(
   207→        default=None, description="Number of floors descended"
   208→    )
   209→    floor_goal: Optional[int] = Field(default=None, description="Daily floor goal")
   210→    raw_data: Optional[Dict[str, Any]] = Field(
   211→        default=None, description="Raw API response"
   212→    )
   213→
   214→
   215→class IntensityMinutesData(BaseModel):
   216→    """Daily intensity minutes."""
   217→
   218→    date: date_type = Field(..., description="Date of the data")
   219→    moderate_minutes: Optional[int] = Field(
   220→        default=None, description="Moderate intensity minutes"
   221→    )
   222→    vigorous_minutes: Optional[int] = Field(
   223→        default=None, description="Vigorous intensity minutes"
   224→    )
   225→    total_minutes: Optional[int] = Field(
   226→        default=None, description="Total intensity minutes"
   227→    )
   228→    weekly_goal: Optional[int] = Field(
   229→        default=None, description="Weekly intensity goal"
   230→    )
   231→    raw_data: Optional[Dict[str, Any]] = Field(
   232→        default=None, description="Raw API response"
   233→    )
   234→
   235→
   236→class HRVData(BaseModel):
   237→    """Daily heart rate variability metrics."""
   238→
   239→    date: date_type = Field(..., description="Date of the data")
   240→    hrv_value: Optional[float] = Field(
   241→        default=None, description="HRV value in milliseconds"
   242→    )
   243→    baseline_hrv: Optional[float] = Field(
   244→        default=None, description="Baseline HRV for comparison"
   245→    )
   246→    status: Optional[str] = Field(
   247→        default=None, description="HRV status (balanced, unbalanced, etc.)"
   248→    )
   249→    raw_data: Optional[Dict[str, Any]] = Field(
   250→        default=None, description="Raw API response"
   251→    )
   252→
   253→
   254→class RHRData(BaseModel):
   255→    """Daily resting heart rate."""
   256→
   257→    date: date_type = Field(..., description="Date of the data")
   258→    resting_heart_rate: Optional[int] = Field(
   259→        default=None, description="Resting heart rate in bpm"
   260→    )
   261→    raw_data: Optional[Dict[str, Any]] = Field(
   262→        default=None, description="Raw API response"
   263→    )
   264→

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>


     1→"""
     2→Pydantic models for body metrics (weight, body composition).
     3→"""
     4→
     5→from datetime import date as date_type, datetime
     6→from typing import Optional, Dict, Any
     7→from pydantic import BaseModel, Field
     8→
     9→
    10→class WeightData(BaseModel):
    11→    """Body weight measurement."""
    12→
    13→    date: date_type = Field(..., description="Date of measurement")
    14→    weight_kg: Optional[float] = Field(default=None, description="Weight in kilograms")
    15→    bmi: Optional[float] = Field(default=None, description="Body Mass Index")
    16→    body_fat_percentage: Optional[float] = Field(
    17→        default=None, description="Body fat percentage"
    18→    )
    19→    body_water_percentage: Optional[float] = Field(
    20→        default=None, description="Body water percentage"
    21→    )
    22→    bone_mass_kg: Optional[float] = Field(
    23→        default=None, description="Bone mass in kilograms"
    24→    )
    25→    muscle_mass_kg: Optional[float] = Field(
    26→        default=None, description="Muscle mass in kilograms"
    27→    )
    28→    timestamp: Optional[datetime] = Field(
    29→        default=None, description="Exact measurement time"
    30→    )
    31→    source: Optional[str] = Field(
    32→        default=None, description="Source of measurement (scale model, manual, etc.)"
    33→    )
    34→    raw_data: Optional[Dict[str, Any]] = Field(
    35→        default=None, description="Raw API response"
    36→    )
    37→
    38→
    39→class BodyComposition(BaseModel):
    40→    """Detailed body composition metrics."""
    41→
    42→    date: date_type = Field(..., description="Date of measurement")
    43→    weight_kg: Optional[float] = Field(default=None, description="Weight in kilograms")
    44→    bmi: Optional[float] = Field(default=None, description="Body Mass Index")
    45→    body_fat_percentage: Optional[float] = Field(
    46→        default=None, description="Body fat percentage"
    47→    )
    48→    skeletal_muscle_mass_kg: Optional[float] = Field(
    49→        default=None, description="Skeletal muscle mass in kilograms"
    50→    )
    51→    bone_mass_kg: Optional[float] = Field(
    52→        default=None, description="Bone mass in kilograms"
    53→    )
    54→    body_water_percentage: Optional[float] = Field(
    55→        default=None, description="Body water percentage"
    56→    )
    57→    visceral_fat_rating: Optional[int] = Field(
    58→        default=None, description="Visceral fat rating"
    59→    )
    60→    metabolic_age: Optional[int] = Field(
    61→        default=None, description="Metabolic age in years"
    62→    )
    63→    raw_data: Optional[Dict[str, Any]] = Field(
    64→        default=None, description="Raw API response"
    65→    )
    66→

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>


Perfect! Now let me create a comprehensive summary document. Let me compile all the findings:

## Summary Report: Garmin Metrics Analysis

Based on my thorough examination of the Butler project codebase and the garminconnect library (v0.2.38), here's the complete analysis:

---

### **1. CURRENTLY SYNCED METRIC TYPES**

The project syncs **13 metric types** as defined in `/root/projects/butler/health/config.py`:

| Metric Type | Fetch Method | Description |
|---|---|---|
| **steps** | `fetch_steps()` | Daily step count, distance, and calories |
| **heart_rate** | `fetch_heart_rate()` | Min, max, resting, average heart rate + zones |
| **sleep** | `fetch_sleep()` | Sleep stages (deep/light/REM/awake), duration, quality score |
| **stress** | `fetch_stress()` | Average/max stress levels + time in stress states |
| **body_battery** | `fetch_body_battery()` | Battery charge/drain + timeline |
| **spo2** | `fetch_spo2()` | Blood oxygen saturation (avg/min/max) |
| **respiration** | `fetch_respiration()` | Breathing rate (avg/min/max) |
| **hydration** | `fetch_hydration()` | Daily water intake in ml |
| **floors** | `fetch_floors()` | Floors climbed/descended |
| **intensity_minutes** | `fetch_intensity_minutes()` | Moderate and vigorous minutes |
| **hrv** | `fetch_hrv()` | Heart rate variability value + baseline |
| **rhr** | `fetch_rhr()` | Resting heart rate (daily) |
| **weight** | `fetch_weight()` | Weight, BMI, body fat%, water%, bone mass, muscle mass |
| **activities** | `fetch_activities()` | Exercise activities with HR, distance, elevation, cadence |

---

### **2. FULL GARMINCONNECT LIBRARY AVAILABLE METHODS**

The garminconnect library (v0.2.38) supports **125+ public methods**. Key categories:

**A. Data Input/Write Methods:**
- `add_hydration_data()` - Add water intake
- `add_body_composition()` - Record body composition
- `add_weigh_in()` / `add_weigh_in_with_timestamps()` - Record weight
- `set_blood_pressure()` - Record blood pressure
- `create_manual_activity()` / `create_manual_activity_from_json()` - Create activities
- `upload_*_workout()` - Upload workout data (cycling, running, hiking, swimming, walking)

**B. Lifestyle & Wellness Logging:**
- `get_lifestyle_logging_data(cdate)` - **Comprehensive lifestyle logging endpoint** ⚠
  - Accesses `/lifestylelogging-service/dailyLog`
  - Intended to capture: alcohol, fasting, meals, water intake, and other lifestyle events
  - **NOT currently synced in Butler**

**C. Blood Pressure & Health Metrics:**
- `get_blood_pressure(startdate, enddate)` - Blood pressure history
- `set_blood_pressure()` - Record BP measurement
- `delete_blood_pressure()` - Remove BP record
- **NOT currently synced in Butler**

**D. Body Composition & Weight:**
- `get_body_composition(startdate, enddate)` - Detailed body metrics
- `get_daily_weigh_ins()` - Daily weight measurements
- `add_body_composition()` - Add composition data

**E. Sleep & Recovery:**
- `get_sleep_data()` ✅ Currently synced
- `get_respiration_data()` ✅ Currently synced
- `get_spo2_data()` ✅ Currently synced
- `get_hrv_data()` ✅ Currently synced

**F. Training & Stress:**
- `get_stress_data()` ✅ Currently synced
- `get_all_day_stress()` - All-day stress (different from synced endpoint)
- `get_training_readiness(cdate)` - Training Readiness score
- `get_training_status(cdate)` - Training Status
- `get_morning_training_readiness(cdate)` - Morning report data
- **Training readiness metrics NOT currently synced**

**G. Performance & Power:**
- `get_cycling_ftp()` - Cycling functional threshold power
- `get_hill_score()` - Hill Score metric
- `get_endurance_score()` - Endurance score
- `get_lactate_threshold()` - Lactate threshold
- `get_max_metrics()` - Personal records
- `get_race_predictions()` - Race time predictions
- **Advanced training metrics NOT currently synced**

**H. Menstrual & Pregnancy Tracking:**
- `get_menstrual_calendar_data()` - Calendar view
- `get_menstrual_data_for_date(cdate)` - Data for specific date
- `get_pregnancy_summary()` - Pregnancy tracking
- **NOT currently synced in Butler**

**I. Devices & Profile:**
- `get_devices()` - Connected devices
- `get_device_settings()`, `get_device_alarms()`, etc.
- `get_user_profile()` - User profile info
- `get_gear()` - Gear management
- `get_goals()` - Activity goals

**J. Activity Details & Analytics:**
- `get_activity_exercise_sets()` - Exercise set details
- `get_activity_split_summaries()` / `get_activity_splits()` - Split data
- `get_activity_weather()` - Weather during activity
- `get_activity_hr_in_timezones()` - HR zones during activity
- `get_activities_by_date()` ✅ Currently synced

**K. Badges & Challenges:**
- `get_earned_badges()`, `get_available_badges()`
- `get_badge_challenges()`, `get_available_badge_challenges()`
- `get_adhoc_challenges()`, `get_inprogress_virtual_challenges()`

**L. Dashboard & Summary:**
- `get_user_summary()` - Daily summary
- `get_stats()` - Overall stats
- `get_stats_and_body()` - Combined stats + body metrics
- `get_progress_summary_between_dates()` - Progress data
- `get_fitnessage_data()` - Fitness Age

---

### **3. AVAILABLE BUT NOT CURRENTLY SYNCED**

**HIGH PRIORITY (Wellness & Lifestyle):**
1. **`get_lifestyle_logging_data(cdate)`**
   - Returns: Alcohol, meals, water intake, fasting events, custom logs
   - Endpoint: `/lifestylelogging-service/dailyLog`
   - **Critical for comprehensive lifestyle tracking**

2. **`get_blood_pressure(startdate, enddate)`**
   - Medical-grade health metric
   - Write support via `set_blood_pressure()`

3. **`get_training_readiness(cdate)` & `get_morning_training_readiness(cdate)`**
   - Recovery readiness scoring
   - Useful for workout planning

4. **`get_training_status(cdate)`**
   - Training status (detraining, productive, recovery, etc.)

5. **`get_all_day_stress()`**
   - Alternative stress endpoint (may have different data than synced `get_stress_data()`)

**MEDIUM PRIORITY (Body Composition):**
6. **`get_body_composition(startdate, enddate)`**
   - More detailed than weight: visceral fat, metabolic age, etc.
   - Supports `add_body_composition()` for manual entries

7. **`get_daily_weigh_ins()`**
   - Detailed daily weight history

**MEDIUM PRIORITY (Advanced Metrics):**
8. **`get_cycling_ftp()` - Cycling FTP**
9. **`get_hill_score()` - Hill Score**
10. **`get_endurance_score()` - Endurance Score**
11. **`get_lactate_threshold()` - Lactate Threshold**
12. **`get_race_predictions()` - Race Time Predictions**

**LOW PRIORITY (Specialized):**
13. **`get_menstrual_calendar_data()` & `get_menstrual_data_for_date()`**
    - Women's health tracking

14. **`get_pregnancy_summary()`**
    - Pregnancy tracking

15. **`get_fitnessage_data()`**
    - Fitness Age metric

---

### **4. LIFESTYLE LOGGING DETAILS**

**What is `get_lifestyle_logging_data(cdate)`?**

This is the primary endpoint for Garmin's **Lifestyle Logging** feature:

```
GET /lifestylelogging-service/dailyLog/{YYYY-MM-DD}
```

**Includes:**
- Water intake logging
- Alcohol consumption
- Fasting periods
- Meals and food logging
- Custom lifestyle events
- Sleep notes/events
- Other user-logged lifestyle data

**Status in Butler:** ❌ **NOT implemented**
- No fetch method in `garmin_client.py`
- No Pydantic model defined
- Not in `DATA_TYPE_CONFIG`

**Library Support:** ✅ **Available** - method exists in garminconnect v0.2.38

---

### **5. KEY FINDINGS SUMMARY**

| Category | Count | Notes |
|---|---|---|
| **Total Library Methods** | 125+ | garminconnect v0.2.38 |
| **Currently Synced** | 13 | Daily metrics + activities + weight |
| **Available But Not Synced** | 40+ | Includes lifestyle, BP, training readiness, etc. |
| **Lifestyle Logging Support** | ✅ Present | Endpoint exists, not implemented in Butler |
| **Sleep Stages** | ✅ Synced | Via `get_sleep_data()` (deep/light/REM/awake) |
| **SpO2 Support** | ✅ Synced | Blood oxygen saturation |
| **Respiration Support** | ✅ Synced | Breathing rate |
| **Stress Support** | ✅ Synced | Via `get_stress_data()` |
| **Body Composition** | Partial | Weight synced; full composition not synced |

---

### **6. BIGGEST GAPS**

1. **Lifestyle Logging** - alcohol, fasting, meals, water logging (tracked separately from hydration)
2. **Blood Pressure** - medical metric not synced
3. **Training Readiness** - recovery score for workout planning
4. **Advanced Training Metrics** - FTP, Hill Score, Endurance Score, Lactate Threshold
5. **Menstrual/Pregnancy Tracking** - women's health metrics
6. **Detailed Body Composition** - beyond just weight

---

This analysis is complete and shows that Butler has a solid foundation syncing 13 major metrics, but there are significant opportunities to expand, especially for **lifestyle logging** (the most notable omission) and **training readiness** metrics.