README

Features

• Uses LSI model to search for similar sentences
• Index is updated in background by separate worker
• Index is updated on every new text addition
• Robust caching on client side
• GraphQL API
• If tests pass docker images are built automatically by GithHub action and uploaded to Docker Hub

Limitations

• The whole index is stored in RAM, so this will not work for big datasets
• Currently only one instance of background worker is supported
• Index is updated on every new text addition, this will not work for high-load (in real world scenario I would update it let’s say every 10 minutes)

Architecture and Stack

Client

• TypeScript / React
• Apollo Client for querying GraphQL and caching

Server

• AIOHTTP as HTTP server
• Tartiflette for GraphQL (schema can be found here)
• Mongo as DB
• Gensim for LSI model
• Spacy to split text on sentences
• MongoDB tailable cursor and capped collection for PubSub

Running

To run production build try the following. This will fetch pre-built images from docker hub.

docker-compose up

For development (this will build docker images from source, which may take some time):

docker-compose -f docker-compose.dev.yml up

Environment Variables

Server

SIMTXT_DB_URI	URI for Mongo database (default: mongodb://localhost:27017)
SIMTXT_INDEX_MIN_SCORE	If similarity score is more than this value we are including sentence to the list of similar sentences (default: 0.1)
SIMTXT_LSI_NUM_TOPIC	Number of topics for LSI model (default: 100)

If you have small dataset and not getting any similar sentences try to change SIMTXT_INDEX_MIN_SCORE to 0, for example SIMTXT_INDEX_MIN_SCORE=0 docker-compose up

Client

REACT_APP_GRAPHQL_URI

URI for GraphQL API (default: http://localhost:8080/graphql)

Tests & Linting

Server

pytest
pylint simtxt
mypy simtxt

Client

yarn test --watchAll=false
npx eslint src