deploy.sh

# Create and activate a virtual environment
python3 -m venv venv
source venv/bin/activate

# Install Python dependencies
pip install -r requirements.txt

# install the custom private prompt generation tool # TODO: needs to be moved to requirements once it becomes public
pip install git+https://${GH_TOKEN}@github.com/zaidalyafeai/templator.git

# Navigate to the project directory
cd promptlab

# set production settings as env variable
export DJANGO_SETTINGS_MODULE=promptlab.production_settings

# migrate django sites first
python manage.py migrate sites

# Run Django management commands
python manage.py migrate

# create superusers
python manage.py import_superusers admins.yml

# setup allauth
python manage.py setup_allauth

# sync with hf
# python manage.py sync_with_hf \
#     --sheet_id 1kIDS-fwO5l6sH2ZBDCepOJeNyOh2j7Wb-w3W0JChi2k \
#     --sheet_name final-list \
#     --is_single_classification_column is_single_classification \
#     --target_column target_column \
#     --clear_datasets False \
#     --default_subset_column dataset_default_subset \
#     --subsets_column dataset_subsets_to_download
    # --example_template_column example_template \
    # --example_template_created_by_column example_template_created_by \
    # --example_template_subset_column subset \
    # --example_template_tags_column example_template_tags \
    # --answer_choices_column answer_choices \

# collect static
python manage.py collectstatic --noinput

# install gunicorn
pip install gunicorn

# run celery worker
# celery -A promptlab worker -l info --pool solo &

# run celery beat
celery -A promptlab beat -l info --scheduler django_celery_beat.schedulers:DatabaseScheduler &

# Start the Gunicorn server in the background
# gunicorn promptlab.wsgi --workers 2 --thread 4 --bind 0.0.0.0:8080 --max-requests 4 --max-requests-jitter 10 --preload --timeout 150
gunicorn promptlab.wsgi --workers 2 --thread 2 --max-requests 4 --bind 0.0.0.0:8080 --timeout 150