"""
Data Layer - Pure Data Retrieval & Calculation Logic

This module provides structured data functions for all metrics.
NO FORMATTING. NO STRINGS WITH UNITS. Only structured data.

Usage:
    from data_layer.body_metrics import get_weight_trend_data

    data = get_weight_trend_data(profile_id="123", days=28)
    # Returns: {"slope_28d": 0.23, "confidence": "high", ...}

Modules:
    - body_metrics: Weight, body fat, lean mass, circumferences
    - nutrition_metrics: Calories, protein, macros, adherence
    - activity_metrics: Training volume, quality, abilities
    - recovery_metrics: Sleep, RHR, HRV, recovery score
    - health_metrics: Blood pressure, VO2Max, health stability
    - goals: Active goals, progress, projections
    - correlations: Lag-analysis, plateau detection
    - utils: Shared functions (confidence, baseline, outliers)

Phase 0c: Multi-Layer Architecture
Version: 1.0
Created: 2026-03-28
"""

# Core utilities
from .utils import *

# Metric modules
from .body_metrics import *
from .nutrition_metrics import *
from .activity_metrics import *
from .recovery_metrics import *
from .health_metrics import *

# Future imports (will be added as modules are created):
# from .goals import *
# from .correlations import *

__all__ = [
    # Utils
    'calculate_confidence',
    'serialize_dates',

    # Body Metrics (Basic)
    'get_latest_weight_data',
    'get_weight_trend_data',
    'get_body_composition_data',
    'get_circumference_summary_data',

    # Body Metrics (Calculated)
    'calculate_weight_7d_median',
    'calculate_weight_28d_slope',
    'calculate_weight_90d_slope',
    'calculate_goal_projection_date',
    'calculate_goal_progress_pct',
    'calculate_fm_28d_change',
    'calculate_lbm_28d_change',
    'calculate_waist_28d_delta',
    'calculate_hip_28d_delta',
    'calculate_chest_28d_delta',
    'calculate_arm_28d_delta',
    'calculate_thigh_28d_delta',
    'calculate_waist_hip_ratio',
    'calculate_recomposition_quadrant',
    'calculate_body_progress_score',
    'calculate_body_data_quality',

    # Nutrition Metrics (Basic)
    'get_nutrition_average_data',
    'get_nutrition_days_data',
    'get_protein_targets_data',
    'get_energy_balance_data',
    'get_protein_adequacy_data',
    'get_macro_consistency_data',

    # Nutrition Metrics (Calculated)
    'calculate_energy_balance_7d',
    'calculate_energy_deficit_surplus',
    'calculate_protein_g_per_kg',
    'calculate_protein_days_in_target',
    'calculate_protein_adequacy_28d',
    'calculate_macro_consistency_score',
    'calculate_intake_volatility',
    'calculate_nutrition_score',
    'calculate_energy_availability_warning',
    'calculate_fiber_avg_7d',
    'calculate_sugar_avg_7d',
    'calculate_nutrition_data_quality',

    # Activity Metrics (Basic)
    'get_activity_summary_data',
    'get_activity_detail_data',
    'get_training_type_distribution_data',

    # Activity Metrics (Calculated)
    'calculate_training_minutes_week',
    'calculate_training_frequency_7d',
    'calculate_quality_sessions_pct',
    'calculate_intensity_proxy_distribution',
    'calculate_ability_balance',
    'calculate_ability_balance_strength',
    'calculate_ability_balance_endurance',
    'calculate_ability_balance_mental',
    'calculate_ability_balance_coordination',
    'calculate_ability_balance_mobility',
    'calculate_proxy_internal_load_7d',
    'calculate_monotony_score',
    'calculate_strain_score',
    'calculate_activity_score',
    'calculate_rest_day_compliance',
    'calculate_vo2max_trend_28d',
    'calculate_activity_data_quality',

    # Recovery Metrics
    'get_sleep_duration_data',
    'get_sleep_quality_data',
    'get_rest_days_data',

    # Health Metrics
    'get_resting_heart_rate_data',
    'get_heart_rate_variability_data',
    'get_vo2_max_data',
]