id,node_id,name,full_name,private,owner,html_url,description,fork,created_at,updated_at,pushed_at,homepage,size,stargazers_count,watchers_count,language,has_issues,has_projects,has_downloads,has_wiki,has_pages,forks_count,archived,disabled,open_issues_count,license,topics,forks,open_issues,watchers,default_branch,permissions,temp_clone_token,organization,network_count,subscribers_count,readme,readme_html,allow_forking,visibility,is_template,template_repository,web_commit_signoff_required,has_discussions 242260583,MDEwOlJlcG9zaXRvcnkyNDIyNjA1ODM=,datasette-mask-columns,simonw/datasette-mask-columns,0,9599,https://github.com/simonw/datasette-mask-columns,Datasette plugin that masks specified database columns,0,2020-02-22T01:29:16Z,2021-06-10T19:50:37Z,2021-06-10T19:51:02Z,https://datasette.io/plugins/datasette-mask-columns,15,2,2,Python,1,1,1,1,0,0,0,0,0,apache-2.0,"[""datasette"", ""datasette-plugin"", ""datasette-io""]",0,0,2,main,"{""admin"": false, ""push"": false, ""pull"": false}",,,0,1,"# datasette-mask-columns [![PyPI](https://img.shields.io/pypi/v/datasette-mask-columns.svg)](https://pypi.org/project/datasette-mask-columns/) [![Changelog](https://img.shields.io/github/v/release/simonw/datasette-mask-columns?include_prereleases&label=changelog)](https://github.com/simonw/datasette-mask-columns/releases) [![Tests](https://github.com/simonw/datasette-mask-columns/workflows/Test/badge.svg)](https://github.com/simonw/datasette-mask-columns/actions?query=workflow%3ATest) [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/datasette-mask-columns/blob/main/LICENSE) Datasette plugin that masks specified database columns ## Installation pip install datasette-mask-columns This depends on plugin hook changes in a not-yet released branch of Datasette. See [issue #678](https://github.com/simonw/datasette/issues/678) for details. ## Usage In your `metadata.json` file add a section like this describing the database and table in which you wish to mask columns: ```json { ""databases"": { ""my-database"": { ""plugins"": { ""datasette-mask-columns"": { ""users"": [""password""] } } } } } ``` All SQL queries against the `users` table in `my-database.db` will now return `null` for the `password` column, no matter what value that column actually holds. The table page for `users` will display the text `REDACTED` in the masked column. This visual hint will only be available on the table page; it will not display his text for arbitrary queries against the table. ","

datasette-mask-columns

Datasette plugin that masks specified database columns

Installation

pip install datasette-mask-columns

This depends on plugin hook changes in a not-yet released branch of Datasette. See issue #678 for details.

Usage

In your metadata.json file add a section like this describing the database and table in which you wish to mask columns:

{
    ""databases"": {
        ""my-database"": {
            ""plugins"": {
                ""datasette-mask-columns"": {
                    ""users"": [""password""]
                }
            }
        }
    }
}

All SQL queries against the users table in my-database.db will now return null for the password column, no matter what value that column actually holds.

The table page for users will display the text REDACTED in the masked column. This visual hint will only be available on the table page; it will not display his text for arbitrary queries against the table.

",,,,,, 346597557,MDEwOlJlcG9zaXRvcnkzNDY1OTc1NTc=,tableau-to-sqlite,simonw/tableau-to-sqlite,0,9599,https://github.com/simonw/tableau-to-sqlite,Fetch data from Tableau into a SQLite database,0,2021-03-11T06:12:02Z,2021-06-10T04:40:44Z,2021-04-29T16:11:03Z,,212,8,8,Python,1,1,1,1,0,2,0,0,2,apache-2.0,"[""datasette-io"", ""datasette-tool""]",2,2,8,main,"{""admin"": false, ""push"": false, ""pull"": false}",,,2,1,"# tableau-to-sqlite [![PyPI](https://img.shields.io/pypi/v/tableau-to-sqlite.svg)](https://pypi.org/project/tableau-to-sqlite/) [![Changelog](https://img.shields.io/github/v/release/simonw/tableau-to-sqlite?include_prereleases&label=changelog)](https://github.com/simonw/tableau-to-sqlite/releases) [![Tests](https://github.com/simonw/tableau-to-sqlite/workflows/Test/badge.svg)](https://github.com/simonw/tableau-to-sqlite/actions?query=workflow%3ATest) [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/tableau-to-sqlite/blob/master/LICENSE) 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 ","

tableau-to-sqlite

Fetch data from Tableau into a SQLite database. A wrapper around TableauScraper.

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 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. 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
",,,,,, 375546675,MDEwOlJlcG9zaXRvcnkzNzU1NDY2NzU=,datasette-placekey,simonw/datasette-placekey,0,9599,https://github.com/simonw/datasette-placekey,SQL functions for working with placekeys,0,2021-06-10T02:31:27Z,2021-06-10T02:33:22Z,2021-06-10T02:32:42Z,https://datasette.io/plugins/datasette-placekey,3,0,0,Python,1,1,1,1,0,0,0,0,1,,"[""datasette"", ""datasette-plugin"", ""datasette-io"", ""placekey""]",0,1,0,main,"{""admin"": false, ""push"": false, ""pull"": false}",,,0,1,"# datasette-placekey [![PyPI](https://img.shields.io/pypi/v/datasette-placekey.svg)](https://pypi.org/project/datasette-placekey/) [![Changelog](https://img.shields.io/github/v/release/simonw/datasette-placekey?include_prereleases&label=changelog)](https://github.com/simonw/datasette-placekey/releases) [![Tests](https://github.com/simonw/datasette-placekey/workflows/Test/badge.svg)](https://github.com/simonw/datasette-placekey/actions?query=workflow%3ATest) [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/datasette-placekey/blob/main/LICENSE) SQL functions for working with [placekeys](https://www.placekey.io/). ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-placekey ## Usage The following SQL functions are exposed - [documentation here](https://placekey.github.io/placekey-py/placekey.html#module-placekey.placekey). ```sql select geo_to_placekey(33.0896104,129.7900839), placekey_to_geo('@6nh-nhh-kvf'), placekey_to_geo_latitude('@6nh-nhh-kvf'), placekey_to_geo_longitude('@6nh-nhh-kvf'), placekey_to_h3('@6nh-nhh-kvf'), h3_to_placekey('8a30d94e4c87fff'), placekey_to_geojson('@6nh-nhh-kvf'), placekey_to_wkt('@6nh-nhh-kvf'), placekey_format_is_valid('@6nh-nhh-kvf'); ``` ## Development To set up this plugin locally, first checkout the code. Then create a new virtual environment: cd datasette-placekey python3 -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 ","

datasette-placekey

SQL functions for working with placekeys.

Installation

Install this plugin in the same environment as Datasette.

$ datasette install datasette-placekey

Usage

The following SQL functions are exposed - documentation here.

select
  geo_to_placekey(33.0896104,129.7900839),
  placekey_to_geo('@6nh-nhh-kvf'),
  placekey_to_geo_latitude('@6nh-nhh-kvf'),
  placekey_to_geo_longitude('@6nh-nhh-kvf'),
  placekey_to_h3('@6nh-nhh-kvf'),
  h3_to_placekey('8a30d94e4c87fff'),
  placekey_to_geojson('@6nh-nhh-kvf'),
  placekey_to_wkt('@6nh-nhh-kvf'),
  placekey_format_is_valid('@6nh-nhh-kvf');

Development

To set up this plugin locally, first checkout the code. Then create a new virtual environment:

cd datasette-placekey
python3 -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
",,,,,,