Prerequisite
- Python 3.11
- Poetry
- Clone the repo and cd into src directory
- Run cmd ->
poetry config virtualenvs.in-project true - To install the project dependencies and create the virtual env run ->
poetry install - To activate the env ->
poetry shell - Create logs dir -> mkdir logs
- Now you can run the main script by running -> python src/auto_etl.py -t query-builder -m tests/Auto_ETL_Metadata_Mapping_V1.xlsx -c tests/sample_config.json