[Unit]
Description=Elizabeth Model Promotion Service %I
After=elizabeth-eval@%i.service
Requires=elizabeth-eval@%i.service
ConditionPathExists=/data/adaptai/eval_results/elizabeth-${%I}.json

[Service]
Type=oneshot
User=root
WorkingDirectory=/data/adaptai
Environment=PYTHONPATH=/data/adaptai/aiml/datascience
ExecStart=/usr/bin/python3 -c "
import json
import shutil
from pathlib import Path

# Load evaluation results
eval_file = Path('/data/adaptai/eval_results/elizabeth-${%I}.json')
if eval_file.exists():
    with open(eval_file, 'r') as f:
        results = json.load(f)
    
    # Check if all gates passed
    if results.get('all_gates_pass', False):
        print('✅ All evaluation gates passed - promoting model')
        # Promote checkpoint to production
        src = Path('/data/adaptai/checkpoints/elizabeth-${%I}')
        dest = Path('/workspace/models/elizabeth-production')
        if src.exists():
            if dest.exists():
                shutil.rmtree(dest)
            shutil.copytree(src, dest)
            print(f'🎉 Model promoted to {dest}')
        else:
            print('❌ Checkpoint not found')
    else:
        print('❌ Evaluation gates failed - not promoting')
        print(f'Failed metrics: {results.get(\"failed_metrics\", [])}')
else:
    print('❌ Evaluation results not found')
"

# Security
NoNewPrivileges=yes
ProtectSystem=strict
ProtectHome=yes
PrivateTmp=yes

[Install]
WantedBy=multi-user.target