Within a virtual enviornment run the following command:
pip install {path to sfl_assignment}
Replace {path to sfl_assignment} with the path to sfl_assignment on your machine.
The default database used in this assignment is sqlite. Run the following command to setup the database:
create_database sqlite
This command will create a .sfl_assignment directory in your home directory and a users.db file will be created in
the newly created directory.
Later, you can clean up the .sfl_assignment directory and its contents by running the following command:
remove_database sqlite
Once the database has been created, run the following command to execute the etl pipeline:
run_etl_pipeline {path to the data file}
Replace {path to the data file} with the path to the data file to be processed on your machine
To view the records in the database run the following command:
show_records