Executes queries against API and writes data to local/remote storage.
Project description
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 bygarf-iolibrary.
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
--sourceparameters are dependent on a particular report fetcher and should be looked up in a documentation for this fetcher.
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