mitai-jinkendo/backend/data_layer/__init__.py

"""
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 *

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

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

    # Body Metrics
    'get_weight_trend_data',
    'get_body_composition_data',
    'get_circumference_summary_data',

    # Nutrition Metrics
    'get_nutrition_average_data',
    'get_nutrition_days_data',
    'get_protein_targets_data',
    'get_energy_balance_data',
    'get_protein_adequacy_data',
    'get_macro_consistency_data',
]