Periodically refresh Datasette metadata from a remote URL
Project description
datasette-remote-metadata
Periodically refresh Datasette metadata from a remote URL
Installation
Install this plugin in the same environment as Datasette.
datasette install datasette-remote-metadata
The alpha version of this plugin requires Datasette 1.0a14 or higher.
Usage
Add the following to your datasette.yml
:
plugins:
datasette-remote-metadata:
url: "https://example.com/remote-metadata.yml"
Then start Datasette like this:
datasette mydatabase.db -c datasette.yml
The plugin will fetch the specified metadata from that URL at startup and combine it with any existing metadata. You can use a URL to either a JSON file or a YAML file.
It will periodically refresh that metadata - by default every 30 seconds, unless you specify an alternative "ttl"
value in the plugin configuration.
You can also use the datasette -s
option to configure the plugin without a configuration file:
datasette \
-s plugins.datasette-remote-metadata.url 'https://example.com/remote-metadata.yml' \
-s plugins.datasette-remote-metadata.ttl 2 \
mydatabase.db
Configuration
Available configuration options are as follows:
"url"
- the URL to retrieve remote metadata from. Can link to a JSON or a YAML file."ttl"
- integer value in secords: how frequently should the script check for fresh metadata. Defaults to 30 seconds."headers"
- a dictionary of additional request headers to send."cachebust"
- if true, a random?0.29508
value will be added to the query string of the remote metadata to bust any intermediary caches.
This example datasette.yml
configuration refreshes every 10 seconds, uses cache busting and sends an Authorization: Bearer xyz
header with the request:
plugins:
datasette-remote-metadata:
url: "https://example.com/remote-metadata.yml"
ttl: 10
cachebust: true
headers:
Authorization: "Bearer xyz"
This example if you are using datasette.json
for configuration:
{
"plugins": {
"datasette-remote-metadata": {
"url": "https://example.com/remote-metadata.yml",
"ttl": 10,
"cachebust": true,
"headers": {
"Authorization": "Bearer xyz"
}
}
}
}
Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
cd datasette-remote-metadata
python3 -mvenv venv
source venv/bin/activate
Or if you are using pipenv
:
pipenv shell
Now install the dependencies and test dependencies:
pip install -e '.[test]'
To run the tests:
pytest
Project details
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