"""Seed data for RTSport Coach Dashboard demo.

Preble High School (schl_001) Football athletes with realistic
injury/recovery data for the Coach Dashboard Status & Messages tabs.

Run: python seed_coach_data.py
"""

import json
import sys
import os

# Paths
BUILD_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
BACKEND_DIR = os.path.join(BUILD_DIR, "backend")

# The actual data lives in rtsport_coach_api.py as inline mock data.
# This file exists for documentation and future database seeding.

ATHLETE_SUMMARY = {
    "school": "Preble High School",
    "school_id": "schl_001",
    "sport": "Football",
    "total_athletes": 50,
    "athletes_with_cases": [
        {
            "id": "ath_001",
            "name": "Jake Larson",
            "status": "out",
            "position": "QB",
            "grade": 12,
            "body_part": "Ankle - Right",
        },
        {
            "id": "ath_002",
            "name": "Marcus Johnson",
            "status": "out",
            "position": "LB",
            "grade": 11,
            "body_part": "Knee - Left (ACL)",
        },
        {
            "id": "ath_003",
            "name": "Tyler Wilson",
            "status": "modified",
            "position": "WR",
            "grade": 10,
            "body_part": "Knee",
        },
        {
            "id": "ath_004",
            "name": "Derek Lee",
            "status": "modified",
            "position": "RB",
            "grade": 11,
            "body_part": "Shoulder - Left",
        },
        {
            "id": "ath_005",
            "name": "Cameron Davis",
            "status": "out",
            "position": "OL",
            "grade": 12,
            "body_part": "Hamstring - Right",
        },
        {
            "id": "ath_006",
            "name": "Ethan Brooks",
            "status": "cleared",
            "position": "DB",
            "grade": 11,
            "body_part": "Concussion",
        },
    ],
}

if __name__ == "__main__":
    output_path = os.path.join(BACKEND_DIR, "seed_data.json")
    with open(output_path, "w") as f:
        json.dump(ATHLETE_SUMMARY, f, indent=2)
    print(f"Seed data written to {output_path}")
    print(f"  School: {ATHLETE_SUMMARY['school']}")
    print(f"  Sport: {ATHLETE_SUMMARY['sport']}")
    print(f"  Athletes with cases: {len(ATHLETE_SUMMARY['athletes_with_cases'])}")