garf-executors 0.0.8.post0

Executes queries against API and writes data to local/remote storage.

garf-executors - One stop-shop for interacting with Reporting APIs.

garf-executors is responsible for orchestrating process of fetching from API and storing data in a storage.

Currently the following executors are supports:

• ApiExecutor - fetching data from reporting API and saves it to a requested destination.
• BigQueryExecutor - executes SQL code in BigQuery.
• SqlExecutor - executes SQL code in a SqlAlchemy supported DB.

Installation

pip install garf-executors

Usage

After garf-executors is installed you can use garf utility to perform fetching.

garf <QUERIES> --source <API_SOURCE> \
  --output <OUTPUT_TYPE> \
  --source.params1=<VALUE>

where

• <QUERIES>- local or remote path(s) to files with queries.
• <API_SOURCE>- type of API to use. Based on that the appropriate report fetcher will be initialized.
• <OUTPUT_TYPE> - output supported by garf-io library.

If your report fetcher requires additional parameters you can pass them via key value pairs under --source. argument, i.e.--source.regionCode='US' - to get data only from US.

Concrete --source parameters are dependent on a particular report fetcher and should be looked up in a documentation for this fetcher.