mongoke 0.0.6

mongoke

mongoke

Instantly serve your MongoDb database via graphql

Features

• Powerful Queries: Pagination, filtering, relation, relay-style connections built-in and generated in a bunch of seconds
• Works with existing databases: Point it to an existing MongoDb database to instantly get a ready-to-use GraphQL API
• Authorization via Jwt: Every collection can be protected based on jwt payload and document fields
• Horizontally Scalable: The service is completely stateless and can be replicated on demand
• Apollo Federation: The service can be easily glued with other graphql servers to handle writes and more complicated logic.
• Resilient Idempotent Configuration: One YAML Configuration as the only source of truth, relations, authorization and types in one file

Quickstart:

Docker compose

The fastest way to try Mongoke is via docker-compose.

1. Write the configuration to serve a blog database via graphql

   # ./mongoke.yml
   skema: |
       User:
           _id: ObjectId
           username: Str
           email: Str
       BlogPost:
           _id: ObjectId
           title: Str
           author_id: ObjectId
           content: Str
   types:
       User:
           collection: users
       BlogPost:
           collection: posts
   relations:
       -   field: posts
           from: User
           to: BlogPost
           where:
               author_id: ${{ parent['_id'] }}
   

2. Run the mongoke image with the above configuration via docker-compose up

   # docker-compose.yml
   version: '3'
   
   services:
       mongoke:
           ports:
               - 4000:80
           image: mongoke/mongoke
           environment: 
               PYTHONUNBUFFERED: '1'
               DB_URL: mongodb://mongo:27017/db
           volumes: 
               - ./mongoke.yml:/conf.yml  
       mongo:
           image: mongo
           logging: 
               driver: none
   

3. Query the generated service via graphql or go to http://localhost:4000 to open graphiql

   {
       user(where: {name: {eq: "jhon"}) {
           _id
           name
           email
           posts {
               nodes {
                   title
               }
           }
       }
   
       blogPosts(first: 10, after: "Post 1", cursorField: title) {
           nodes {
               title
               content
           }
           pageInfo {
               endCursor
               hasNextPage
           }
       }
   }
   

---

Usage

Mongoke serve your mongodb database via a declarative, idempotent configuration that describes the shape of the types in the database and their relations. To get started first describe the shape of your types inside the database via the skema language, then write a configuration for every type to connect it to the associated collection and add authorization guards. Then you can add relations between types, describing what field will lead to the related types and if the relation is of type to_one or to_many.

Here is an example:

# example.yml

db_url: mongodb://mongo:27017/db

skema: |
    Article:
        content: Str
        autorId: ObjectId
        createdAt: DateTime
    User:
        _id: ObjectId
        name: Str
        surname: Str
        aricleIds: [ObjectId]
    ObjectId: Any
    DateTime: Any

types:
    User:
        collection: users
    Article:
        collection: articles

relations:
    -   from: User
        to: Article
        relation_type: to_many
        field: articles
        where:
            autorId: ${{ parent['_id'] }}

Then generate the server code and serve it with the mongoke docker image

version: '3'

services:
    server:
        image: mongoke/mongoke:latest
        command: /conf.yml
        volumes: 
            - ./example.yml:/conf.yml
    mongo:
        image: mongo
        logging: 
            driver: none

Then you can query the database from your graphql app as you like

{
  author(where: {name: "Joseph"}) {
    name
    articles {
      nodes {
        content
      }
    }
  }
}

{
  articles(first: 5, after: "22/09/1999", cursorField: createdAt) {
    nodes {
      content
    }
    pageInfo {
      endCursor
    }
  }
}

Todo:

• publish the docker image (after tartiflette devs fix extend type issue)
• resolve issue connection nodes must all have an _id field because it is default cursor field
• integration tests for all the resolver types
• integration tests for the relations
• cursor must be obfuscated in connection, (also after and before are string so it is a must)
• add pipelines feature to all resolvers (adding a custom find and find_one made with aggregate)
• add the $ to the where input fields inside resolvers (in must be $in, ...)
• remove strip_nones after asserting v1 works

Low priority

• required config field, add verify the jwt with the secret if provided
• add schema validation to the configuration
• add subscriptions
• add edges to make connection type be relay compliant
• better performance of connection_resolver removing the $skip and $count
• add a dataloader for single connections