Code Monkey home page Code Monkey logo

rumors-api's Introduction

rumors-api

Build Status Coverage Status

GraphQL API server for clients like rumors-site and rumors-line-bot

Configuration

For development, copy .env.sample to .env and make necessary changes.

For production via rumors-deploy, do setups in docker-compose.yml.

Development

Prerequisite

First-time setup

After cloning this repository & cd into project directory, then install the dependencies.

$ git clone --recursive [email protected]:MrOrz/rumors-api.git # --recursive for the submodules
$ cd rumors-api
$ npm i

If you want to test OAuth2 authentication, you will need to fill in login credentials in .env. Please apply for the keys in Facebook, Twitter and Github respectively.

Start development servers

$ mkdir esdata # For elasticsearch DB
$ docker-compose up

This will:

  • rumors-api server on http://localhost:5000. It will be re-started when you update anyfile.
  • Kibana on http://localhost:6222.
  • ElasticSearch DB on http://localhost:62222.
  • URL resolver on http://localhost:4000

To stop the servers, just ctrl-c and all docker containers will be stopped.

Populate ElasticSearch with data

Ask a team member to send you nodes directory, then put the nodes directory right inside the esdata directory created in the previous step, then restart the database using:

$ docker-compose restart db

Detached mode & Logs

If you do not want a console occupied by docker-compose, you may use detached mode:

$ docker-compose up -d

Access the logs using:

$ docker-compose logs api     # `api' can also be `db', `kibana'.
$ docker-compose logs -f api  # Tail mode

About test/rumors-db

This directory is managed by git submodule. Use the following command to update:

$ npm run rumors-db:pull

Lint

# Please check lint before you pull request
$ npm run lint
# Automatically fixes format error
$ npm run lint:fix

Test

To prepare test DB, first start an elastic search server on port 62223:

$ docker run -d -p "62223:9200" --name "rumors-test-db" docker.elastic.co/elasticsearch/elasticsearch-oss:6.3.2
# If it says 'The name "rumors-test-db" is already in use',
# Just run:
$ docker start rumors-test-db

Then run this to start testing:

$ npm t

If you get "Elasticsearch ERROR : DELETE http://localhost:62223/replies => socket hang up", please check if test database is running. It takes some time for elasticsearch to boot.

If you want to run test on a specific file (ex: src/xxx/__tests__/ooo.js), run:

$ npm t -- src/xxx/__tests__/ooo.js

When you want to update jest snapshot, run:

$ npm t -- -u

Deploy

Build docker image. The following are basically the same, but with different docker tags.

# Production build
$ npm run build

# Staging build
$ npm run build:staging

Run the docker image on local machine, then visit http://localhost:5000. (To test functions involving DB, ElasticSearch DB must work as .env specified.)

$ docker run --rm -it -p 5000:5000 mrorz/rumors-api

Push to dockerhub

# Production
$ docker push mrorz/rumors-api:latest

# Staging
$ docker push mrorz/rumors-api:staging

Other scripts

Fill in urls index and hyperlinks field for all articles & replies

First, make sure .env is configured so that the correct DB is specified. Then at project root, run:

$ node_modules/.bin/babel-node src/scripts/fillAllHyperlinks.js

This script would scan for all articles & replies to fill in their hyperlinks field, also populates urls index. The urls index is used as cache. If an URL already exists in urls, it will not trigger HTTP request.

Clean up old urls entries that are not referenced by any article & reply

The urls index serves as a cache of URL scrapper and will enlarge as ListArticle is invoked with URLs. The following script cleans up those urls that no article & reply currently uses.

$ docker-compose exec api node_modules/.bin/babel-node src/scripts/cleanupUrls.js

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.