viadot 0.1.9

A simple data ingestion library to guide data flows from some places to other places

Viadot

A simple data ingestion library to guide data flows from some places to other places

Getting Data from a Source

viadot supports few sources. For instance, the UK Carbon Intensity API does not require credentials.

from viadot.sources.uk_carbon_intensity import UKCarbonIntensity
ukci = UKCarbonIntensity()
ukci.query("/intensity")
ukci.to_df()

The above code pulls the UK Carbon Insentity data from the external API to the local Pandas dataframe (df).

Loading Data to a Source

TODO

Running tests

run.sh
docker exec -it viadot_testing bash
cd tests/ && pytest .

Running flows locally

run.sh
poetry shell
FLOW_NAME=supermetrics_to_azure_sql; python -m viadot.flows.$FLOW_NAME

Uploading pkg to PyPi

Generate the requirements.txt file from poetry.

poetry export -f requirements.txt --output requirements.txt --with-credentials --dev

And then publish with poetry.

poetry update
poetry publish --build