docker-entrypoint.sh

#!/bin/bash
set -e

echo "============================================="
echo "  Fragmenta — Docker Edition"
echo "============================================="

# Use environment variables with sensible defaults
HOST="${FLASK_HOST:-0.0.0.0}"
PORT="${FLASK_PORT:-5001}"

echo "Host:  ${HOST}"
echo "Port:  ${PORT}"
echo "============================================="

cd /app

# ---- Ensure runtime directories exist (may be empty volume mounts) ----
mkdir -p /app/models/pretrained /app/models/fine_tuned /app/models/config \
         /app/data /app/output /app/logs /app/config 2>/dev/null || true

# ---- Diagnostics (helps debug failures on new machines) ----
echo "[startup] Python: $(python --version 2>&1)"
echo "[startup] Working dir: $(pwd)"
echo "[startup] User: $(whoami) (uid=$(id -u))"

# Smoke-test: verify core imports and detect GPU
echo "[startup] Checking core Python imports and GPU…"
python -c "
import flask, flask_cors, torch, torchaudio, soundfile
print(f'  Flask {flask.__version__}  |  torch {torch.__version__}')
print(f'  CUDA build: {torch.version.cuda or \"none\"}')
if torch.cuda.is_available():
    name = torch.cuda.get_device_name(0)
    vram = torch.cuda.get_device_properties(0).total_memory / 1024**3
    print(f'  GPU: {name} ({vram:.1f} GB VRAM) — CUDA ready')
else:
    print('  No CUDA GPU detected — will run on CPU')
    print('  If you have an NVIDIA GPU, check:')
    print('    1. Run \"docker compose up\" (not \"docker-compose up\")')
    print('    2. Docker Desktop is using the WSL2 backend')
    print('    3. \"nvidia-smi\" works on the host')
" || {
    echo "ERROR: Core Python imports failed. Check requirements."
    exit 1
}

# Ensure model config files exist (they may be missing if /app/models is
# an empty volume mount).  Fallback copies are baked into the image under
# /opt/fragmenta-defaults/models/config/ during the Docker build.
if [ -d /opt/fragmenta-defaults/models/config ]; then
    for f in /opt/fragmenta-defaults/models/config/*; do
        fname=$(basename "$f")
        if [ ! -f "/app/models/config/${fname}" ]; then
            echo "[startup] Restoring default config: ${fname}"
            cp "$f" "/app/models/config/${fname}" 2>/dev/null || true
        fi
    done
fi

echo "[startup] Starting Fragmenta on ${HOST}:${PORT}"
echo "Open http://localhost:${PORT} in your browser"
echo "============================================="

# Run Flask directly via Python (same way the desktop app does it)
exec python -c "
import os, sys
sys.path.insert(0, '/app')
os.environ['FLASK_HOST'] = '${HOST}'
os.environ['FLASK_PORT'] = '${PORT}'

from app.backend.app import app, QuietWSGIRequestHandler

print('[server] Flask app imported — starting…', flush=True)

app.run(
    host='${HOST}',
    port=int('${PORT}'),
    debug=False,
    use_reloader=False,
    request_handler=QuietWSGIRequestHandler,
    threaded=True
)
"