Light-weight RPC package for creating RESTful server-side Dart APIs. The package supports the Google Discovery Document format for message encoding and HTTP REST for routing of requests.
The discovery documents for the API are automatically generated and are compatible with existing Discovery Document client stub generators (see the "Calling the API" section below for more details). This makes it easy to create a server side API that can be called by any client language for which there is a Discovery Document client stub generator.
Getting started is simple! The example below gives a quick overview of how to create an API and in the following sections a more elaborate description follows of how to build the API and setup an API server.
@ApiClass(version: 'v1')
class Cloud {
@ApiMethod(method: 'GET', path: 'resource/{name}')
ResourceMessage getResource(String name) {
... find resource of name {resourceName} ...
return new ResourceMessage()
..id = resource.id
..name = resource.name
..capacity = resource.capacity;
}
@ApiMethod(method: 'POST', path: 'resource/{name}/update')
VoidMessage updateResource(String name, UpdateMessage request) {
... process request, throw on error ...
}
}
class ResourceMessage {
int id;
String name;
int capacity;
}
class UpdateMessage {
int newCapacity;
}
Two complete examples using respectively dart:io
and shelf
can be found at
Example.
We use the following concepts below when describing how to build your API.
- Top-level class - This is the API entry-point. It describes the API name and
version. The top-level class is defined via the
ApiClass
annotation. - Resource - Resources are used to group methods together for a cleaner API
structure. Class fields annotated with
@ApiResource
are exposed as resources. - Method - Methods are what can be invoked. Only methods annotated with @ApiMethod are exposed as remotely accessible methods.
- Schema - Schemas are used to describe response and the request messages passed in the body of the HTTP request.
- Properties - A schema contains properties. Each property can optionally be
further restricted by the
ApiProperty
annotation.
Defining an API starts with annotating a class with the @ApiClass
annotation.
It must specify at least the version
field. The API name can optionally be
specified via the name
field and will default to the class name in camel-case
if omitted.
@ApiClass(
name: 'cloud', // Optional (default is 'cloud' since class name is Cloud).
version: 'v1',
description: 'My Dart server side API' // optional
)
class Cloud {
(...)
}
The above API would be available at the path /cloud/v1
. E.g. if the server
was serving on http://localhost:8080
the API base url would be
http://localhost:8080/cloud/v1
.
Inside of your API class you can define public methods that will correspond to methods that can be called on your API.
For a method to be exposed as a remote API method it must be annotated with
the @ApiMethod
annotation specifying a unique path used for routing requests
to the method.
The @ApiMethod
annotation also supports specifying the HTTP method used to
invoke the method. The method
field is used for this. If omitted the HTTP
method defaults to GET
.
A description of the method can also be specified using the description
field. If omitted it defaults to the empty string.
A method must always return a response. The response can be either an instance of a class or a future of the instance. In the case where a method has no response the predefined VoidMessage class should be returned.
Example method returning nothing:
@ApiMethod(path: 'voidMethod')
VoidMessage myVoidMethod() {
...
return null;
}
Example method returning class:
class MyResponse {
String result;
}
@ApiMethod(path: 'someMethod')
MyResponse myMethod() {
...
return new MyResponse();
}
Example method returning a future:
@ApiMethod(path: 'futureMethod')
Future<MyResponse> myFutureMethod() {
...
completer.complete(new MyResponse();
...
return completer.future;
}
The MyResponse
class must be a non-abstract class with an unnamed
constructor taking no required parameters. The RPC backend will automatically
serialize all public fields of the the MyResponse
instance into JSON
corresponding to the generated Discovery Document schema.
Method parameters can be passed in three different ways.
- As a path parameter in the method path (supported on all HTTP methods)
- As a query string parameter (supported for GET and DELETE)
- As the request body (supported for POST and PUT)
Path parameters and the request body parameter are required. The query string parameters are optional named parameters.
Example of a method using POST with both path parameters and a request body:
@ApiMethod(
method: 'POST',
path: 'resource/{name}/type/{type}')
MyResponse myMethod(String name, String type, MyRequest request) {
...
return new MyResponse();
}
The curly brackets specify path parameters and must appear as positional parameters in the same order as on the method signature. The request body parameter is always specified as the last parameter.
Assuming the above method was part of the Cloud class defined above the url to the method would be:
http://localhost:8080/cloud/v1/resource/foo/type/storage
where the first parameter name
would get the value foo
and the type
parameter would get the value storage
.
The MyRequest
class must be a non-abstract class with an unnamed constructor
taking no arguments. The RPC backend will automatically create an instance of
the MyRequest
class, decode the JSON request body, and set the class
instance's fields to the values found in the decoded request body.
If the request body is not needed it is possible to use the VoidMessage class or change it to use the GET HTTP method. If using GET the method signature would instead become.
@ApiMethod(path: '/resource/{name}/type/{type}')
MyResponse myMethod(String name, String type) {
...
return new MyResponse();
}
When using GET it is possible to use optional named parameters as below.
@ApiMethod(path: '/resource/{name}/type/{type}')
MyResponse myMethod(String name, String type, {String filter}) {
...
return new MyResponse();
}
in which case the caller can pass the filter as part of the query string. E.g.
http://localhost:8080/cloud/v1/resource/foo/type/storage?filter=fast
The data sent either as a request (using HTTP POST and PUT) or as a response body corresponds to a non-abstract class as described above.
The RPC backend will automatically decode HTTP request bodies into class instances and encode method results into an HTTP response's body. This is done according to the generated Discovery Document schemas.
Only the public fields of the classes are encoded/decoded. Currently supported
types for the public fields are int
, double
, bool
, String
,
DateTime
, List, Map<String, SomeType>, and another message class.
A field can be further annotated using the @ApiProperty
annotation to
specify default values, format of an int
or double
specifying how to
handle it in the backend, min/max value of an int
property, and whether a
property is required.
For int
properties the format
field is used to specify the size of the
integer. It can take the values int32
, uint32
, int64
or uint64
.
The 64-bit variants will be represented as String
in the JSON objects.
For int
properties the minValue
and maxValue
fields can be used to
specify the min and max value of the integer.
For double
properties the format
parameter can take the value
double
or float
.
The defaultValue
field is used to specify a default value. The required
fields is used to specify whether a field is required.
Example schema:
class MyRequest {
@ApiProperty(
format: 'uint32',
defaultValue: 40,
minValue: 0,
maxValue: 150)
int age;
@ApiProperty(format: 'float')
double averageAge;
}
Resources can be used to provide structure to your API by grouping certain API
methods together under a resource. To create an API resource you will add a
field to the class annotated with the @ApiClass
annotation. The field must
point to another class (the resource) containing the methods that should be
exposed together for this resource. The field must be annotated with the
@ApiResource
annotation. By default the name of the resource will be the
field name in camel-case. If another name is desired the name
field can be
used in the @ApiResource
annotation.
Example resource API:
@ApiClass(version: 'v1')
class Cloud {
@ApiResource(name: 'myResource')
MyResource aResource = new MyResource();
...
}
class MyResource {
@ApiMethod(path: 'someMethod')
MyResponse myResourceMethod() { return new MyResponse(); }
}
Notice the @ApiResource annotation is on the field rather than the resource class. This allows for a resource class to be used in multiple places (e.g. different versions) of the API.
Also notice the path of the MyResource.myResourceMethod
method is
independent from the resource. E.g. if MyResource was used in the previous
mentioned Cloud API the method would be exposed at the url
http://<server ip>:<port>/cloud/v1/someMethod
.
When having annotated your classes, resources, and methods you must create an
ApiServer
to route the HTTP requests to your methods.
Creating a RPC API server is done by first creating an instance of the
ApiServer
class and calling the addApi method with an instance of the class
annotated with the @ApiClass
annotation.
You can choose to use any web server framework you prefer for serving HTTP
requests. The rpc-examples github repository
(https://github.com/dart-lang/rpc-examples) includes examples for both the
standard dart:io
HttpServer
as well as an example using the shelf
middleware.
E.g. to use dart:io
you would do something like:
final ApiServer _apiServer = new ApiServer();
main() async {
_apiServer.addApi(new Cloud());
HttpServer server = await HttpServer.bind(InternetAddress.ANY_IP_V4, 8080);
server.listen(_apiServer.httpRequestHandler);
}
The above example uses the default provided ApiServer
HTTP request handler
which converts the HttpRequest
to a HttpApiRequest
and forwards it
along. A custom HTTP request handler doing the conversion to the
HttpApiRequest
class and calling the ApiServer.handleHttpApiRequest
method itself can also be used if more flexibility is needed.
Notice that the ApiServer
is agnostic of the HTTP server framework being
used by the application. The RPC package does provide a request handler for the
standard dart:io
HttpRequest
class. There is also a shelf_rpc
package
which provides the equivalent for shelf (see the example for how this is done).
However as the RPC ApiServer
is using its own HttpApiRequest
class any
framework can be used as long as it converts the HTTP request to a corresponding
HttpApiRequest
and calls the ApiServer.handleHttpApiRequest
method.
The result of calling the handleHttpApiRequest
method is returned as an
HttpApiResponse
which contains a stream with the encoded response or in the
case of an error it contains the encoded JSON error as well as the exception
thrown internally.
There are a couple of predefined error classes that can be used to return an error from the server to the client. They are:
- any
RpcError(HTTP status code,
Error name,
Any message)
- 400
BadRequestError('You sent some data we don't understand.')
- 404
NotFoundError('We didn't find the api or method you are looking for.')
- 500
ApplicationError('The invoked method failed with an exception.')
- 500
Some internal exception occurred and it was not due to a method invocation.
If one of the above exceptions are thrown by the server API implementation it
will be sent back as a serialized json response as described below. Any other
exception thrown will be wrapped in the ApplicationError
exception
containing the toString()
version of the internal exception as the method.
The JSON format for errors is:
{
"error": {
"code": <http status code>,
"message": <error message>
}
}
In addition to the basic way of returning an http status code and an error
message, you can attach RpcErrorDetail
objects to your RpcError
(as
specified in the Google JSON style guide):
throw new RpcError(403, 'InvalidUser', 'User does not exist')
..errors.add(new RpcErrorDetail(reason: 'UserDoesNotExist'));
This will return the JSON:
{
"error": {
"code": 403,
"message": "User does not exist",
"errors": [
{"reason": "UserDoesNotExist"}
]
}
}
Once your server API is written you can generate a Discovery Document describing the API and use it to generate a client stub library to call the server from your client.
There are two ways to generate a Discovery Document from your server API.
- Use the rpc:generate script to generate it from the commandline
- Retrieve it from a running server instance
Using the rpc:generate script you can generate a Discovery Document by running the script on the file where you put the class annotated with @ApiClass. Assuming your @ApiClass class is in a file 'lib/server/cloudapi.dart' you would write:
pub global activate rpc
cd <your package directory>
mkdir json
pub global run rpc:generate discovery -i lib/server/cloudapi.dart > json/cloud.json
In order for the rpc:generate script to work the API class (@ApiClass class) must have a default constructor taking no required arguments.
The other way to retrive a Discovery Document if from a running server instance.
This requires the Discovery Service to be enabled. This is done by calling the
ApiServer.enableDiscoveryApi()
method on the ApiServer, see Example.
for details.
After enabling the Discovery Service deploy the server and download the Discovery Document. For example if we have the 'cloud' API from the above example the Discovery Document can be retrieved from the deployed server by:
URL='https://your_app_server/discovery/v1/apis/cloud/v1/rest'
mkdir json
curl -o json/cloud.json $URL
Once you have the Discovery Document you can generate a client stub library using a Discovery Document client API generator. For Dart we have the Discovery API Client Generator. Discovery Document generators for other languages can also be used to call your API from e.g Python or Java.
If you want to generate a standalone client library for calling your server do:
pub global activate discoveryapis_generator
pub global run discoveryapis_generator:generate package -i json -o client
This will create a new Dart package with generated client stubs for calling each of your API methods. The generated library can be used like any of the other Google Client API libraries, some samples here.
If you want to generate a client stub code that should be integrated into an existing client you can instead do:
pub global activate discoveryapis_generator
pub global run discoveryapis_generator:generate files -i json -o <path to existing client package>
This will just generate a file in the directory specified by the '-o' option. NOTE: you might have to modify the existing client's pubspec.yaml file to include the packages required by the generated client stub code.