datasette-ripgrep 0.8.2

Web interface for searching your code using ripgrep, built as a Datasette plugin

datasette-ripgrep

Web interface for searching your code using ripgrep, built as a Datasette plugin

For background on this project see datasette-ripgrep: deploy a regular expression search engine for your source code.

Demo

Try this plugin out at https://ripgrep.datasette.io/-/ripgrep - where you can run regular expression searches across the source code of Datasette and all of the datasette-* plugins belonging to the simonw GitHub user.

Some example searches:

• with.*AsyncClient - regular expression search for with.*AsyncClient
• .plugin_config, literal=on - a non-regular expression search for .plugin_config(
• with.*AsyncClient glob=datasette/** - search for that pattern only within the datasette/ top folder
• "sqlite-utils[">] glob=setup.py - a regular expression search for packages that depend on either sqlite-utils or sqlite-utils>=some-version
• test glob=!*.html - search for the string test but exclude results in HTML files

Installation

Install this plugin in the same environment as Datasette.

$ datasette install datasette-ripgrep

The rg executable needs to be installed such that it can be run by this tool.

Usage

This plugin requires configuration: it needs to a path setting so that it knows where to run searches.

Create a metadata.json file that looks like this:

{
    "plugins": {
        "datasette-ripgrep": {
            "path": "/path/to/your/files"
        }
    }
}

Now run Datasette using datasette -m metadata.json. The plugin will add an interface at /-/ripgrep for running searches.

Plugin configuration

The "path" configuration is required. Optional extra configuration options are:

• time_limit - floating point number. The rg process will be terminated if it takes longer than this limit. The default is one second, 1.0.
• max_lines - integer. The rg process will be terminated if it returns more than this number of lines. The default is 2000.

Development

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

cd datasette-ripgrep
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