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.source- type of API to use. Based on that the appropriate report fetcher will be initialized. Explore supported APIs hereoutput- 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.
Documentation
Explore full documentation working with garf-executors
2 maintainers
Metadata
2 maintainers
Release files for garf-executors 1.7.0.post1
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Source distribution (sdist)
| File | Size | Uploaded | |
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|---|---|---|---|---|
| garf_executors-1.7.0.post1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 117.8 kB
Release files / garf_executors-1.7.0.post1.tar.gz
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| Download URL | garf_executors-1.7.0.post1-py3-none-any.whl |
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| Size | 73.9 kB |
| Tags | Python 3 |
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