Report-Generator / entrypoint.sh
root
feat: implement codebase and data management system with HF integration
7d4bbcc
#!/bin/bash
# Ensure we are in the app directory
cd /app
# 1. Initialize local structure
python3 hf_sync.py init
# 2. Try to download existing data
# REPO_ID defaults to Jaimodiji/Report-Generator-Data in hf_sync.py
python3 hf_sync.py download
# 3. Setup symlinks
# ... (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
# 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