semvec/pypi-packages huggingface dataset:
tableau-to-sqlite 0.2.1
Fetch data from Tableau into a SQLite database
License: Apache License, Version 2.0
Requires Python: >=3.6

# tableau-to-sqlite

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Fetch data from Tableau into a SQLite database. A wrapper around [TableauScraper](https://github.com/bertrandmartel/tableau-scraping/).

## Installation

Install this tool using `pip`:

    $ pip install tableau-to-sqlite

## Usage

If you have the URL to a Tableau dashboard like this:

https://results.mo.gov/t/COVID19/views/VaccinationsDashboard/Vaccinations

You can pass that directly to the tool:

    tableau-to-sqlite tableau.db \
      https://results.mo.gov/t/COVID19/views/VaccinationsDashboard/Vaccinations

This will create a SQLite database called `tableau.db` containing one table for each of the worksheets in that dashboard.

If the dashboard is hosted on https://public.tableau.com/ you can instead provide the view name. This will be two strings separated by a `/` symbol - something like this:

    OregonCOVID-19VaccineProviderEnrollment/COVID-19VaccineProviderEnrollment

Now run the tool like this:

    tableau-to-sqlite tableau.db \
        OregonCOVID-19VaccineProviderEnrollment/COVID-19VaccineProviderEnrollment

## Get the data as JSON or CSV

If you're building a [git scraper](https://simonwillison.net/2020/Oct/9/git-scraping/) you may want to convert the data gathered by this tool to CSV or JSON to check into your repository.

You can do that using [sqlite-utils](https://sqlite-utils.datasette.io/). Install it using `pip`:

    pip install sqlite-utils

You can dump out a table as JSON like so:

    sqlite-utils rows tableau.db \
       'Admin Site and County Map Site No Info' > tableau.json

Or as CSV like this:

    sqlite-utils rows tableau.db --csv \
       'Admin Site and County Map Site No Info' > tableau.csv

## Development

To contribute to this tool, first checkout the code. Then create a new virtual environment:

    cd tableau-to-sqlite
    python -mvenv venv
    source venv/bin/activate

Or if you are using `pipenv`:

    pipenv shell

Now install the dependencies and tests:

    pip install -e '.[test]'

To run the tests:

    pytest