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A stand-alone GraphQL client for Dart, bringing all the features from a modern GraphQL client to one easy to use package.

MIT License All Contributors PRs Welcome

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GraphQL Client #

graphql/client.dart is a GraphQL client for dart modeled on the apollo client, and is currently the most popular GraphQL client for dart. It is co-developed alongside graphql_flutter on github, where you can find more in-depth examples. We also have a lively community alongside the rest of the GraphQL Dart community on discord.

As of v4, it is built on foundational libraries from the gql-dart project, including gql, gql_link, and normalize. We also depend on hive for persistence via HiveStore.

Useful API Docs:

Installation #

First, depend on this package:

dependencies:
  graphql: ^4.0.0-beta

And then import it inside your dart code:

import 'package:graphql/client.dart';

Migration Guide #

Find the migration from version 3 to version 4 here.

Basic Usage #

To connect to a GraphQL Server, we first need to create a GraphQLClient. A GraphQLClient requires both a cache and a link to be initialized.

In our example below, we will be using the Github Public API. we are going to use HttpLink which we will concatenate with AuthLink so as to attach our github access token. For the cache, we are going to use GraphQLCache.

// ...

final _httpLink = HttpLink(
  'https://api.github.com/graphql',
);

final _authLink = AuthLink(
  getToken: () async => 'Bearer $YOUR_PERSONAL_ACCESS_TOKEN',
);

Link _link = _authLink.concat(_httpLink);

/// subscriptions must be split otherwise `HttpLink` will. swallow them
if (websocketEndpoint != null){
  final _wsLink = WebSocketLink(websockeEndpoint);
  _link = Link.split((request) => request.isSubscription, _wsLink, _link);
}

final GraphQLClient client = GraphQLClient(
  /// **NOTE** The default store is the InMemoryStore, which does NOT persist to disk
  cache: GraphQLCache(),
  link: _link,
);

// ...

Persistence #

In v4, GraphQLCache is decoupled from persistence, which is managed (or not) by its store argument. We provide a HiveStore for easily using hive boxes as storage, which requires a few changes to the above:

NB: This is different in graphql_flutter, which provides await initHiveForFlutter() for initialization in main

GraphQL getClient() async {
  ...
  /// initialize Hive and wrap the default box in a HiveStore
  final store = await HiveStore.open(path: 'my/cache/path');
  return GraphQLClient(
      /// pass the store to the cache for persistence
      cache: GraphQLCache(store: store),
      link: _link,
  );
}

Once you have initialized a client, you can run queries and mutations.

Options #

All graphql methods accept a corresponding *Options object for configuring behavior. These options all include policies with which to override defaults, an optimisticResult for snappy client-side interactions, gql_exec Context with which to make requests, and of course a document to be requested.

Internally they are converted to gql_exec Requests with .asRequest for execution via links, and thus can also be used with the direct cache access api.

Query #

Creating a query is as simple as creating a multiline string:

const String readRepositories = r'''
  query ReadRepositories($nRepositories: Int!) {
    viewer {
      repositories(last: $nRepositories) {
        nodes {
          __typename
          id
          name
          viewerHasStarred
        }
      }
    }
  }
''';

Then create a QueryOptions object:

NB: for document - Use our built-in help function - gql(query) to convert your document string to ASTs document.

In our case, we need to pass nRepositories variable and the document name is readRepositories.


const int nRepositories = 50;

final QueryOptions options = QueryOptions(
  document: gql(readRepositories),
  variables: <String, dynamic>{
    'nRepositories': nRepositories,
  },
);

And finally you can send the query to the server and await the response:

// ...

final QueryResult result = await client.query(options);

if (result.hasException) {
  print(result.exception.toString());
}

final List<dynamic> repositories =
    result.data['viewer']['repositories']['nodes'] as List<dynamic>;

// ...

Mutations #

Creating a mutation is similar to creating a query, with a small difference. First, start with a multiline string:

const String addStar = r'''
  mutation AddStar($starrableId: ID!) {
    action: addStar(input: {starrableId: $starrableId}) {
      starrable {
        viewerHasStarred
      }
    }
  }
''';

Then instead of the QueryOptions, for mutations we will MutationOptions, which is where we pass our mutation and id of the repository we are starring.

// ...

final MutationOptions options = MutationOptions(
  document: gql(addStar),
  variables: <String, dynamic>{
    'starrableId': repositoryID,
  },
);

// ...

And finally you can send the mutation to the server and await the response:

// ...

final QueryResult result = await client.mutate(options);

if (result.hasException) {
  print(result.exception.toString());
  return;
}

final bool isStarred =
    result.data['action']['starrable']['viewerHasStarred'] as bool;

if (isStarred) {
  print('Thanks for your star!');
  return;
}

// ...

GraphQL Upload

gql_http_link provides support for the GraphQL Upload spec as proposed at https://github.com/jaydenseric/graphql-multipart-request-spec

mutation($files: [Upload!]!) {
  multipleUpload(files: $files) {
    id
    filename
    mimetype
    path
  }
}
import "package:http/http.dart" show Multipartfile;

// ...

final myFile = MultipartFile.fromString(
  "",
  "just plain text",
  filename: "sample_upload.txt",
  contentType: MediaType("text", "plain"),
);

final result = await graphQLClient.mutate(
  MutationOptions(
    document: gql(uploadMutation),
    variables: {
      'files': [myFile],
    },
  )
);

Subscriptions #

To use subscriptions, a subscription-consuming link must be split from your HttpLink or other terminating link route:

link = Link.split((request) => request.isSubscription, websocketLink, link);

Then you can subscribe to any subscriptions provided by your server schema:

final subscriptionDocument = gql(
  r'''
    subscription reviewAdded {
      reviewAdded {
        stars, commentary, episode
      }
    }
  ''',
);
// graphql/client.dart usage
subscription = client.subscribe(
  SubscriptionOptions(
    document: subscriptionDocument
  ),
);
subscription.listen(reactToAddedReview)

client.watchQuery and ObservableQuery #

client.watchQuery can be used to execute both queries and mutations, then reactively listen to changes to the underlying data in the cache. It is used in the Query and Mutation widgets of graphql_flutter:

final observableQuery = client.watchQuery(
  WatchQueryOptions(
    document: gql(
      r'''
      query HeroForEpisode($ep: Episode!) {
        hero(episode: $ep) {
          name
        }
      }
      ''',
    ),
    variables: {'ep': 'NEWHOPE'},
  ),
);

/// Listen to the stream of results. This will include:
/// * `options.optimisitcResult` if passed
/// * The result from the server (if `options.fetchPolicy` includes networking)
/// * rebroadcast results from edits to the cache
observableQuery.stream.listen((QueryResult result) {
  if (!result.isLoading && result.data != null) {
    if (result.hasException) {
      print(result.exception);
      return;
    }
    if (result.isLoading) {
      print('loading');
      return;
    }
    doSomethingWithMyQueryResult(myCustomParser(result.data));
  }
});
// ... cleanup:
observableQuery.close();

ObservableQuery is a bit of a kitchen sink for reactive operation logic – consider looking at the API docs if you'd like to develop a deeper understanding.

NB: watchQuery and ObservableQuery currently don't have a nice APIs for update onCompleted and onError callbacks, but you can have a look at how graphql_flutter registers them through onData in Mutation.runMutation.

Direct Cache Access API #

The GraphQLCache leverages normalize to give us a fairly apollo-ish direct cache access API, which is also available on GraphQLClient. This means we can do local state management in a similar fashion as well.

The cache access methods are available on any cache proxy, which includes the GraphQLCache the OptimisticProxy passed to update in the graphql_flutter Mutation widget, and the client itself.

NB counter-intuitively, you likely never want to use use direct cache access methods directly on the cache, as they will not be rebroadcast automatically.
Prefer client.writeQuery and client.writeFragment to those on the client.cache for automatic rebroadcasting

In addition to this overview, a complete and well-commented rundown of can be found in the GraphQLDataProxy API docs.

Request, readQuery, and writeQuery #

The query-based direct cache access methods readQuery and writeQuery leverage gql_exec Requests used internally in the link system. These can be retrieved from options.asRequest available on all *Options objects, or constructed manually:

const int nRepositories = 50;

final QueryOptions options = QueryOptions(
  document: gql(readRepositories),
  variables: {
    'nRepositories': nRepositories,
  },
);

var queryRequest = Request(
  operation: Operation(
    document: gql(readRepositories),
  ),
  variables: {
    'nRepositories': nRepositories,
  },
);

/// experimental convenience api
queryRequest = Operation(document: gql(readRepositories)).asRequest(
  variables: {
    'nRepositories': nRepositories,
  },
);

print(queryRequest == options.asRequest);

final data = client.readQuery(queryRequest);
client.writeQuery(queryRequest, data);

The cache access methods are available on any cache proxy, which includes the GraphQLCache the OptimisticProxy passed to update in the graphql_flutter Mutation widget, and the client itself.

NB counter-intuitively, you likely never want to use use direct cache access methods on the cache cache.readQuery(queryRequest); client.readQuery(queryRequest); //

FragmentRequest, readFragment, and writeFragment #

FragmentRequest has almost the same api as Request, but is provided directly from graphql for consistency. It is used to access readFragment and writeFragment. The main differences are that they cannot be retreived from options, and that FragmentRequests require idFields to find their cooresponding entities:


final fragmentDoc = gql(
  r'''
    fragment mySmallSubset on MyType {
      myField,
      someNewField
    }
  ''',
);

var fragmentRequest = FragmentRequest(
  fragment: Fragment(
    document: fragmentDoc,
  ),
  idFields: {'__typename': 'MyType', 'id': 1},
);

/// same as experimental convenience api
fragmentRequest = Fragment(document: fragmentDoc).asRequest(
  idFields: {'__typename': 'MyType', 'id': 1},
);

final data = client.readFragment(fragmentRequest);
client.writeFragment(fragmentRequest, data);

NB You likely want to call the cache access API from your client for automatic broadcasting support.

Policies #

Policies are used to configure execution and error behavior for a given request. The client's default policies can also be set for each method via the defaultPolicies option.

FetchPolicy: determines where the client may return a result from.
Possible options:

  • cacheFirst (default): return result from cache. Only fetch from network if cached result is not available.
  • cacheAndNetwork: return result from cache first (if it exists), then return network result once it's available.
  • cacheOnly: return result from cache if available, fail otherwise.
  • noCache: return result from network, fail if network call doesn't succeed, don't save to cache.
  • networkOnly: return result from network, fail if network call doesn't succeed, save to cache.

ErrorPolicy: determines the level of events for errors in the execution result.
Possible options:

  • none (default): Any GraphQL Errors are treated the same as network errors and any data is ignored from the response.
  • ignore: Ignore allows you to read any data that is returned alongside GraphQL Errors, but doesn't save the errors or report them to your UI.
  • all: Using the all policy is the best way to notify your users of potential issues while still showing as much data as possible from your server. It saves both data and errors into the Apollo Cache so your UI can use them.

Exceptions #

If there were problems encountered during a query or mutation, the QueryResult will have an OperationException in the exception field:

/// Container for both [graphqlErrors] returned from the server
/// and any [linkException] that caused a failure.
class OperationException implements Exception {
  /// Any graphql errors returned from the operation
  List<GraphQLError> graphqlErrors = [];

  /// Errors encountered during execution such as network or cache errors
  LinkException linkException;
}

Example usage:

if (result.hasException) {
  if (result.exception.linkException is NetworkException) {
    // handle network issues, maybe
  }
  return Text(result.exception.toString())
}

graphql and graphql_flutter now use the gql_link system, re-exporting gql_http_link, gql_error_link, gql_dedupe_link, and the api from gql_link, as well as our own custom WebSocketLink and AuthLink.

This makes all link development coordinated across the ecosystem, so that we can leverage existing links like gql_dio_link, and all link-based clients benefit from new link development (such as ferry).

NB: WebSocketLink and other "terminating links" must be used with split when there are multiple terminating links.

The gql_link systm has a well-specified routing system: link diagram

a rundown of the composition api:

// kitchen sink:
Link.from([
  // common links run before every request
  DedupeLink(), // dedupe requests
  ErrorLink(onException: reportClientException),
]).split( // split terminating links, or they will break
  (request) => request.isSubscription,
  MyCustomSubscriptionAuthLink().concat(
    WebSocketLink(mySubscriptionEndpoint),
  ), // MyCustomSubscriptionAuthLink is only applied to subscriptions
  AuthLink(getToken: httpAuthenticator).concat(
    HttpLink(myAppEndpoint),
  )
);
// adding links after here would be pointless, as they would never be accessed

/// both `Link.from` and `link.concat` can be used to chain links:
final Link _link = _authLink.concat(_httpLink);
final Link _link = Link.from([_authLink, _httpLink]);

/// `Link.split` and `link.split` route requests to the left or right based on some condition
/// for instance, if you do `authLink.concat(httpLink).concat(websocketLink)`,
/// `websocketLink` won't see any `subscriptions`
link = Link.split((request) => request.isSubscription, websocketLink, link);

When combining links, it isimportant to note that:

  • Terminating links like HttpLink and WebsocketLink must come at the end of a route, and will not call links following them.
  • Link order is very important. In HttpLink(myEndpoint).concat(AuthLink(getToken: authenticate)), the AuthLink will never be called.

AWS AppSync Support #

Cognito Pools

To use with an AppSync GraphQL API that is authorized with AWS Cognito User Pools, simply pass the JWT token for your Cognito user session in to the AuthLink:

// Where `session` is a CognitorUserSession
// from amazon_cognito_identity_dart_2
final token = session.getAccessToken().getJwtToken();

final AuthLink authLink = AuthLink(
  getToken: () => token,
);

See more: Issue #209

Other Authorization Types

API key, IAM, and Federated provider authorization could be accomplished through custom links, but it is not known to be supported. Anyone wanting to implement this can reference AWS' JS SDK AuthLink implementation.

Parsing ASTs at build-time #

All document arguments are DocumentNodes from gql/ast. We supply a gql helper for parsing, them, but you can also parse documents at build-time use ast_builder from package:gql_code_gen:

dev_dependencies:
  gql_code_gen: ^0.1.5

add_star.graphql:

mutation AddStar($starrableId: ID!) {
  action: addStar(input: { starrableId: $starrableId }) {
    starrable {
      viewerHasStarred
    }
  }
}
import 'package:gql/add_star.ast.g.dart' as add_star;

// ...

final MutationOptions options = MutationOptions(
  document: add_star.document,
  variables: <String, dynamic>{
    'starrableId': repositoryID,
  },
);

// ...

NOTE: There is a PR for migrating the v3 PersistedQueriesLink, and it works, but requires more consideration. It will be fixed before v4 stable is published

To improve performance you can make use of a concept introduced by apollo called Automatic persisted queries (or short "APQ") to send smaller requests and even enabled CDN caching for your GraphQL API.

ATTENTION: This also requires you to have a GraphQL server that supports APQ, like Apollo's GraphQL Server and will only work for queries (but not for mutations or subscriptions).

You can than use it simply by prepending a PersistedQueriesLink to your normal HttpLink:

final PersistedQueriesLink _apqLink = PersistedQueriesLink(
  // To enable GET queries for the first load to allow for CDN caching
  useGETForHashedQueries: true,
);

final HttpLink _httpLink = HttpLink(
  'https://api.url/graphql',
);

final Link _link = _apqLink.concat(_httpLink);
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A stand-alone GraphQL client for Dart, bringing all the features from a modern GraphQL client to one easy to use package.

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Dependencies

collection, gql, gql_dedupe_link, gql_error_link, gql_exec, gql_http_link, gql_link, gql_transform_link, hive, http, meta, normalize, path, rxdart, uuid_enhanced, websocket

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