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+This is the ETL ppipeline to read elements from a CSV file, parsing/cleaning
+them up and inserting into a PostgreSQL
+It has been tested only with DirectRunner, but it could be moved to run on
+DataFlow easily.
+
+## Running
+
+This is intended to be scheduled by Airflow but it the necessary packages are
+available it can also be run manually with:
+
+```sh
+python3 /etl/main.py \
+    --runner=DirectRunner \
+    --input="$CSV_INPUT_FILE" \
+    --pg_hostname="$PG_HOSTNAME" \
+    --pg_port="$PG_PORT" \
+    --pg_username="$PG_USERNAME" \
+    --pg_password="$PG_PASSWORD" \
+    --pg_database="$PG_DATABASE" \
+    --pg_table="$PG_TABLE"
+```
+
+## Testing and linting
+
+To help with development and testing a `Dockerfile`, a `Makefile` and
+`justfile` files are also provided.
+
+The `Makefile` provides a mechanism to
+
+* automate the generation of `dev-requirements.txt` and `requirements.txt` out
+  of `pyproject.toml`
+* automate the creation of a python virtual environment which contains the
+  right python version (installed by pyenv) and the packages defined in `pyproject.toml`
+* automate the building of an OCI image with the necessary dependencies
+
+The provided `Dockerfile` is used to build an image with the necessary packages
+to run `pytest` and `pylint`.
+
+The provided `justfile` provides the commands to run `pytest` and `pylint` from
+a container.
+
+If [`just`](https://github.com/casey/just) is installed, `pytest` and `pylint` can be run like so:
+
+```sh
+just test
+just lint
+```