https://github.com/datasette/datasette-import

Tools for importing data into Datasette
https://github.com/datasette/datasette-import

Last synced: about 2 months ago
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Tools for importing data into Datasette

• Host: GitHub
• URL: https://github.com/datasette/datasette-import
• Owner: datasette
• License: apache-2.0
• Created: 2024-04-06T15:57:38.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-09-04T05:38:05.000Z (4 months ago)
• Last Synced: 2024-10-04T06:48:42.566Z (3 months ago)
• Language: HTML
• Homepage:
• Size: 21.5 KB
• Stars: 10
• Watchers: 1
• Forks: 0
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# datasette-import

[![PyPI](https://img.shields.io/pypi/v/datasette-import.svg)](https://pypi.org/project/datasette-import/)

[![Changelog](https://img.shields.io/github/v/release/datasette/datasette-import?include_prereleases&label=changelog)](https://github.com/datasette/datasette-import/releases)

[![Tests](https://github.com/datasette/datasette-import/actions/workflows/test.yml/badge.svg)](https://github.com/datasette/datasette-import/actions/workflows/test.yml)

[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/datasette/datasette-import/blob/main/LICENSE)

Tools for importing data into Datasette

## Installation

Install this plugin in the same environment as Datasette.

```bash

datasette install datasette-import

```

## Usage

This plugin adds a database action item called "Create table with imported data".

This action is available to users with the `create-table` permission.

It links to a page that allows users to upload files or paste in CSV, TSV or JSON data, and then use that to create and populate a new table in Datasette.

CSV and TSV data must have headers on the first row.

JSON data must be an array of objects with the same keys, or a container object object where one of the keys is an array of objects.

## Credits

The CSV and TSV parsing is performed using [Papa Parse](https://www.papaparse.com/), an MIT licensed JavaScript library that is bundled with this plugin.

## Development

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

```bash

cd datasette-import

python3 -m venv venv

source venv/bin/activate

```

Now install the dependencies and test dependencies:

```bash

pip install -e '.[test]'

```

To run the tests:

```bash

pytest

```