# Model Datasheet: WellnessModel

## General Information
- **Model Name:** WellnessModel
- **Current Version:** v1.0
- **Model file extension:** No extension provided.
- **Datasource:**
  - **Wellness:**
    - `athleteId`
    - `surveyDate`
    - `sleepQuality`
    - `sleepHours`
    - `fatigueLevel`
    - `muscleSoreness`
    - `stressLevel`
    - `mood`
    - `notes`
    - `motivationLevel`
    - `currentlyMenstruating`
    - `loadCapacityToday`
- **Training Required:** False

### Description
Wellness test model that computes a 0-100% Ready-to-Train (RTT) Readiness Score to evaluate an athlete's physical and mental preparedness. It processes 1-10 scaled subjective indicators, automatically inverting negative metrics (fatigueLevel, muscleSoreness, stressLevel) and combining them with positive states (sleepQuality, mood, motivationLevel) to output actionable Green, Yellow, or Red training load zones.

## Execution Profile
This model operates using static or constant calculation layers. No dynamic training pipeline is required for this configuration.