entrypoint.sh

#!/bin/bash

# Ensure we are in the app directory
cd /app

# 1. Initialize local structure
python3 hf_sync.py init

# 2. Setup symlinks immediately so the app can boot before the initial sync finishes
# ... (rest of symlink setup)
# Remove existing if any
rm -rf database.db output processed uploads

# Ensure data_repo has what we need
mkdir -p data_repo/output data_repo/processed data_repo/uploads

# Create symlinks
ln -sf data_repo/database.db database.db
ln -sf data_repo/output output
ln -sf data_repo/processed processed
ln -sf data_repo/uploads uploads

# 3. Start the initial dataset download in the background
echo "Starting initial Hugging Face sync in background..."
python3 hf_sync.py download &

# 4. Start periodic background upload
if [ -n "$HF_TOKEN" ]; then
    (
        while true; do
            sleep 120 # Every 2 minutes
            if [[ "${RPT_DEBUG,,}" == "true" || "${RPT_DEBUG}" == "1" || "${RPT_DEBUG,,}" == "t" ]]; then
                echo "[DEBUG] Simulating scheduled backup to HF Datasets..."
            else
                echo "Performing scheduled backup to HF Datasets..."
            fi
            # REPO_ID defaults to Jaimodiji/Report-Generator-Data in hf_sync.py
            # hf_sync.py also respects RPT_DEBUG internally
            python3 hf_sync.py upload
        done
    ) &
else
    echo "HF_TOKEN not set, periodic backup disabled."
fi

# 5. Start the application
echo "Starting application on port 7680..."
# Using gunicorn with eventlet for SocketIO support if needed, 
# otherwise standard gunicorn. Since eventlet isn't in requirements.txt, 
# we'll try to install it or use threads.
exec gunicorn --bind 0.0.0.0:7680 --worker-class eventlet -w 1 app:app