First you must follow the instructions on where to create the environment variables in the .env.example file.
Contact repository administrators to get environment variable values.
With the environment configured, run the following command:
docker-compose up -d --build
To remove all data, run the following command:
docker-compose down --volumes
The Python environment should be configured with the following commands:
python -m venv env .\env\Scripts\activate pip install -r .\requirements.txt
The ETL pipeline can be run with the following commands:
python .\main.py --step {0} --store {1}:- step:
- 0 (default): run all the pipeline;
- 1: extract data;
- 2: transform data;
- 3: execute clustering;
- 4: load data into PostgreSQL;
- 5: upsert data into PostgreSQL;
- 6: load data into Elasticsearch.
- store: the id of the store to execute, executes for all stores if nothing is passed
- step:
- You can only run steps 4, 5 and 6 to test the search results.
The frontend can be run with the following commands:
npx expo start
- http://localhost:3000 - PostgREST API.