mondigy 1.0.1

A small wrapper for connecting MongoDB collections to Prodigy

mondigy

Mondigy is a small library for using a Mongodb database as a data loader for Prodigy annotation applications.

Motivation

Prodigy naviely supports loading text data from files and dataset objects, but annotating data that is stored in a MongoDB database requires a custom data loader. With mondigy you can simply write a small config file with your database config and have an easy way to get data from Mongo to Prodigy.

Features

• Annotate text data from MongoDB
• Pipe data directly from your MongoDB database to your Prodigy application

Code Example

Let's define a db connection and start annotating data from our MongoDB database!

Step 1. Create a config file. For this example, we'll call it my_db_config.json. This config gets the first 1000 entries that are in_stock from the products collection of our database, in order of decreasing date_added.

my_db_config.json

{
  "host": "my.database.com",
  "user": "mongo_user",
  "password": "mongo_pass",
  "database": "my_db",
  "auth_source": "admin",
  "collection": "products",
  "text_field": "description",
  "other_fields": ["product_name", "product_id"],
  "sort": ["date_added", -1],
  "query": {"in_stock": true},
  "limit": 1000
}

Step 2. Start your Prodigy server and let mondigy point your MongoDB collection at it by supplying the paths of your config file and the Mondigy loader.

prodigy mongo-loader my_db_config.json -F mondigy/loader.py | prodigy ner.manual ner_test en_core_web_sm - --label FEATURE,KEYWORD

Step 3. Annotate!

Installation & Setup

To install Mondigy, simply clone this repo via git clone https://github.com/jdagdelen/mondigy.git.

Mondigy will set up the collections it requires in your mongo database. They are named with a _p.<collection> convention. Don't delete these collections or manually edit any of the documents in them.

License

MIT © John Dagdelen