graphql-anywhere

What is graphql-anywhere?

The graphql-anywhere package is a flexible utility for running GraphQL queries against any arbitrary data structure. It allows you to execute GraphQL queries on client-side data, making it useful for scenarios where you need to filter or transform data based on a GraphQL query.

What are graphql-anywhere's main functionalities?

Executing GraphQL queries on client-side data

This feature allows you to execute GraphQL queries on client-side data. The code sample demonstrates how to filter a data object based on a GraphQL query, returning only the fields specified in the query.

const { graphql } = require('graphql-anywhere');
const { filter } = require('graphql-anywhere/lib/async');

const query = `{
  user {
    name
    age
  }
}`;

const resolver = (fieldName, root, args, context, info) => {
  return root[fieldName];
};

const data = {
  user: {
    name: 'John Doe',
    age: 30,
    email: '[e-mail]'
  }
};

filter(resolver, query, data).then(result => {
  console.log(result);
  // Output: { user: { name: 'John Doe', age: 30 } }
});

Custom resolvers for handling data

This feature allows you to define custom resolvers to handle data in a specific way. The code sample shows how to use a custom resolver to modify the 'age' field before returning the result.

const { graphql } = require('graphql-anywhere');
const { filter } = require('graphql-anywhere/lib/async');

const query = `{
  user {
    name
    age
  }
}`;

const customResolver = (fieldName, root, args, context, info) => {
  if (fieldName === 'age') {
    return root[fieldName] + 1; // Custom logic to modify the age
  }
  return root[fieldName];
};

const data = {
  user: {
    name: 'John Doe',
    age: 30,
    email: '[e-mail]'
  }
};

filter(customResolver, query, data).then(result => {
  console.log(result);
  // Output: { user: { name: 'John Doe', age: 31 } }
});

Other packages similar to graphql-anywhere

graphql-tools

The graphql-tools package provides a set of utilities to build and manipulate GraphQL schemas in JavaScript. It includes features for schema stitching, mocking, and more. While graphql-tools focuses on schema creation and manipulation, graphql-anywhere is more about executing queries on arbitrary data structures.

apollo-client

Apollo Client is a comprehensive state management library for JavaScript that enables you to manage both local and remote data with GraphQL. It includes features for caching, query batching, and more. While Apollo Client is a full-fledged GraphQL client, graphql-anywhere is a lightweight utility for executing queries on arbitrary data.

README

graphql-anywhere

Run a GraphQL query anywhere, without a GraphQL server or a schema. Just pass in one resolver. Use it together with graphql-tag.

npm install graphql-anywhere graphql-tag

I think there are a lot of potentially exciting use cases for a completely standalone and schema-less GraphQL execution engine. We use it in Apollo Client to read data from a Redux store with GraphQL.

Let's come up with some more ideas - below are some use cases to get you started!

API

import graphql from 'graphql-anywhere'

graphql(resolver, document, rootValue?, context?, variables?, options?)

• resolver: A single resolver, called for every field on the query.
  • Signature is: (fieldName, rootValue, args, context, info) => any
• document: A GraphQL document, as generated by the template literal from graphql-tag
• rootValue: The root value passed to the resolver when executing the root fields
• context: A context object passed to the resolver for every field
• variables: A dictionary of variables for the query
• options: Options for execution

Options

The last argument to the graphql function is a set of graphql-anywhere-specific options.

• resultMapper: Transform field results after execution.
  • Signature is: (resultFields, resultRoot) => any
• fragmentMatcher: Decide whether to execute a fragment. Default is to always execute all fragments.
  • Signature is: (rootValue, typeCondition, context) => boolean

Resolver info

info, the 5th argument to the resolver, is an object with supplementary information about execution. Send a PR or open an issue if you need additional information here.

• isLeaf: A boolean that is true if this resolver is for a leaf field of the query, i.e. one that doesn't have a sub-selection.

Supported GraphQL features

Why do you even need a library for this? Well, running a GraphQL query isn't as simple as just traversing the AST, since there are some pretty neat features that make the language a bit more complex to execute.

• Arguments
• Variables
• Aliases
• Fragments, both named and inline
• @skip and @include directives

If you come across a GraphQL feature not supported here, please file an issue.

Example: Filter a nested object

import gql from 'graphql-tag';
import graphql from 'graphql-anywhere';

// I don't need all this stuff!
const gitHubAPIResponse = {
  "url": "https://api.github.com/repos/octocat/Hello-World/issues/1347",
  "title": "Found a bug",
  "body": "I'm having a problem with this.",
  "user": {
    "login": "octocat",
    "avatar_url": "https://github.com/images/error/octocat_happy.gif",
    "url": "https://api.github.com/users/octocat",
  },
  "labels": [
    {
      "url": "https://api.github.com/repos/octocat/Hello-World/labels/bug",
      "name": "bug",
      "color": "f29513"
    }
  ],
};

// Write a query that gets just the fields we want
const query = gql`
  {
    title
    user {
      login
    }
    labels {
      name
    }
  }
`;

// Define a resolver that just returns a property
const resolver = (fieldName, root) => root[fieldName];

// Filter the data!
const result = graphql(
  resolver,
  query,
  gitHubAPIResponse
);

assert.deepEqual(result, {
  "title": "Found a bug",
  "user": {
    "login": "octocat",
  },
  "labels": [
    {
      "name": "bug",
    }
  ],
});

Example: Generate mock data

// Write a query where the fields are types, but we alias them
const query = gql`
  {
    author {
      name: string
      age: int
      address {
        state: string
      }
    }
  }
`;

// Define a resolver that uses the field name to determine the type
// Note that we get the actual name, not the alias, but the alias
// is used to determine the location in the response
const resolver = (fieldName) => ({
  string: 'This is a string',
  int: 5,
}[fieldName] || 'continue');

// Generate the object!
const result = graphql(
  resolver,
  query
);

assert.deepEqual(result, {
  author: {
    name: 'This is a string',
    age: 5,
    address: {
      state: 'This is a string',
    },
  },
});

Example: Read from a Redux store generated with Normalizr

const data = {
  result: [1, 2],
  entities: {
    articles: {
      1: { id: 1, title: 'Some Article', author: 1 },
      2: { id: 2, title: 'Other Article', author: 1 },
    },
    users: {
      1: { id: 1, name: 'Dan' },
    },
  },
};

const query = gql`
  {
    result {
      title
      author {
        name
      }
    }
  }
`;

const schema = {
  articles: {
    author: 'users',
  },
};

// This resolver is a bit more complex than others, since it has to
// correctly handle the root object, values by ID, and scalar leafs.
const resolver = (fieldName, rootValue, args, context): any => {
  if (!rootValue) {
    return context.result.map((id) => assign({}, context.entities.articles[id], {
      __typename: 'articles',
    }));
  }

  const typename = rootValue.__typename;
  // If this field is a reference according to the schema
  if (typename && schema[typename] && schema[typename][fieldName]) {
    // Get the target type, and get it from entities by ID
    const targetType: string = schema[typename][fieldName];
    return assign({}, context.entities[targetType][rootValue[fieldName]], {
      __typename: targetType,
    });
  }

  // This field is just a scalar
  return rootValue[fieldName];
};

const result = graphql(
  resolver,
  query,
  null,
  data // pass data as context since we have to access it all the time
);

// This is the non-normalized data, with only the fields we asked for in our query!
assert.deepEqual(result, {
  result: [
    {
      title: 'Some Article',
      author: {
        name: 'Dan',
      },
    },
    {
      title: 'Other Article',
      author: {
        name: 'Dan',
      },
    },
  ],
});

Example: Generate React components

You can use the resultMapper option to convert your results into anything you like. In this case, we convert the result fields into children for a React component:

const resolver = (fieldName, root, args) => {
  if (fieldName === 'text') {
    return args.value;
  }

  return createElement(fieldName, args);
};

const reactMapper = (childObj, root) => {
  const reactChildren = Object.keys(childObj).map(key => childObj[key]);

  if (root) {
    return cloneElement(root, root.props, ...reactChildren);
  }

  return reactChildren[0];
};

function gqlToReact(query): any {
  return graphql(
    resolver,
    query,
    '',
    null,
    null,
    { resultMapper: reactMapper },
  );
}

const query = gql`
  {
    div {
      s1: span(id: "my-id") {
        text(value: "This is text")
      }
      s2: span
    }
  }
`;

assert.equal(
  renderToStaticMarkup(gqlToReact(query)),
  '<div><span id="my-id">This is text</span><span></span></div>'
);