Auto-ETL

Prerequisite

• Python 3.11
• Poetry

Steps to configure the repo locally

• 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