Metadata-Version: 2.1
Name: datasette-insert-api
Version: 0.2a0
Summary: Datasette plugin providing an API for inserting and updating data
Home-page: https://github.com/simonw/datasette-insert-api
Author: Simon Willison
License: Apache License, Version 2.0
Project-URL: Issues, https://github.com/simonw/datasette-insert-api/issues
Project-URL: CI, https://github.com/simonw/datasette-insert-api/actions
Project-URL: Changelog, https://github.com/simonw/datasette-insert-api/releases
Description: # datasette-insert-api
        
        [![PyPI](https://img.shields.io/pypi/v/datasette-insert-api.svg)](https://pypi.org/project/datasette-insert-api/)
        [![Changelog](https://img.shields.io/github/v/release/simonw/datasette-insert-api?label=changelog)](https://github.com/simonw/datasette-insert-api/releases)
        [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/datasette-insert-api/blob/master/LICENSE)
        
        Datasette plugin providing an API for inserting and updating data
        
        ## Installation
        
        Install this plugin in the same environment as Datasette.
        
            $ pip install datasette-insert-api
        
        ## Usage
        
        Having installed the plugin, data can be inserted or updated and tables can be created by POSTing JSON data to the following URL:
        
            /-/insert/name-of-database/name-of-table
        
        The JSON should look like this:
        
        ```json
        [
            {
                "id": 1,
                "name": "Cleopaws",
                "age": 5
            },
            {
                "id": 2,
                "name": "Pancakes",
                "age": 5
            }
        ]
        ```
        
        The first time data is posted to the URL a table of that name will be created if it does not aready exist, with the desired columns.
        
        You can specify which column should be used as the primary key using the `?pk=` URL argument.
        
        Here's how to POST to a database and create a new table using the Python `requests` library:
        
        ```python
        import requests
        
        requests.post("http://localhost:8001/-/insert/unsafe/dogs?pk=id", json=[
            {
                "id": 1,
                "name": "Cleopaws",
                "age": 5
            },
            {
                "id": 2,
                "name": "Pancakes",
                "age": 4
            }
        ])
        ```
        And here's how to do the same thing using `curl`:
        
        ```
        curl --request POST \
          --data '[
              {
                "id": 1,
                "name": "Cleopaws",
                "age": 5
              },
              {
                "id": 2,
                "name": "Pancakes",
                "age": 4
              }
            ]' \
            'http://localhost:8001/-/insert/unsafe/dogs?pk=id'
        ```
        
        ### Automatically adding new columns
        
        If you send data to an existing table with keys that are not reflected by the existing columns, you will get an HTTP 400 error with a JSON response like this:
        
        ```json
        {
            "status": 400,
            "error": "Unknown keys: 'foo'",
            "error_code": "unknown_keys"
        }
        ```
        
        If you add `?alter=1` to the URL you are posting to any missing columns will be automatically added:
        
        ```
        curl --request POST \
          --data '[
              {
                "id": 3,
                "name": "Boris",
                "age": 1,
                "breed": "Husky"
              }
            ]' \
            'http://localhost:8001/-/insert/unsafe/dogs?alter=1'
        ```
        
        ## Development
        
        To set up this plugin locally, first checkout the code. Then create a new virtual environment:
        
            cd datasette-insert-api
            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
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
Provides-Extra: test
