rapids/docs/usage/quick_rule.rst

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.. _minimal-working-example:
Minimal Working Example
========================
This is a quick guide for creating and running a simple pipeline to extract call features for daily and night epochs of one participant monitored on the US East coast.
#. Make sure your database connection credentials in ``.env`` are correct. See step 1 of :ref:`Usage Section <db-configuration>`.
#. Create at least one participant file ``p01`` under ``data/external/``. See step 2 of :ref:`Usage Section <db-configuration>`.
#. Make sure your Conda (python) environment is active. See step 6 of :ref:`install-page`.
#. Modify the following settings in the ``config.yaml`` file with the values shown below (leave all other settings as they are)
::
PIDS: [p01]
DAY_SEGMENTS: &day_segments
[daily, night]
TIMEZONE: &timezone
America/New_York
DATABASE_GROUP: &database_group
MY_GROUP (change this if you added your DB credentials to .env with a different label)
CALLS:
COMPUTE: True
DB_TABLE: calls (only change DB_TABLE if your database calls table has a different name)
For more information on the ``calls`` sensor see :ref:`call-sensor-doc`
#. Run the following command to execute RAPIDS
::
snakemake -j1
#. Daily and night call metrics will be found in files under the ``data/processed/p01/`` directory.