grpcc
grpcc
is a flexible command-line client for any gRPC server for quick and easy testing of APIs. grpcc
is written in nodejs but can talk to a gRPC service written in any language.
This is an example of using grpcc
with the Skizze database's gPRC .proto
file:
Features
- Easy to create flexible connections to gRPC services for testing
- Supports auto-reconnect via the standard gRPC backoff-retries
- Use Javascript objects to mimic protobuf
Message
objects - In-built, simple to use pretty-printing callbacks:
printReply
to print unary method call repliesstreamReply
to print stream call.on('data'...
repliesprintMetadata
to parse and print metadata using call.on('metadata', pm)
- Support for adding gRPC metadata via
createMetadata
- Parsing of error-metadata to json
- Full support for streams (client, server, and bi-directional)
- Flexibilty of a full nodejs environment that can be as simple or complex as required
- eval support allows using grpcc like curl, fire off a request and have JSON printed to the console
- exec support allows executing pre-existing scripts with results being outputted to stdout
- Connect with ssl, custom ssl certs, or insecurely
- Socket connection support via
--address "unix:/path/to/sockfile
Installation
npm install -g grpcc
Getting Started
To use it, you only need the service's .proto
file, which describes the RPC service, and the address (host:port) of the service. grpcc
can talk to local or remote services:
$ grpcc --proto ./service/myservice.proto --address 127.0.0.1:3466
By default, grpcc
will attempt to make a secure connection to the service. If you need an insecure connection, you can pass in the -i
flag.
Once grpcc
has connected, it will print out usage instructions for the configured service. It does this by reading the parsed values from the protobuf file. After printing the instructions, it will start a nodejs REPL with the following globals available:
client
- this is the gRPC client connection to your service. The usage instructions will show the available methods, as will using tab completion by typing client.<tab>
printReply
- a convenience callback for printing the response of an RPC call (nicer than console.log
) (alias: pr
)streamReply
- a convenience callback for printing the response of an stream's 'data'
event (nicer than console.log
) (alias: cr
)createMetadata
- a convenience function for converting plain javascript objects to gRPC metadata (alias: cm
)printMetadata
- a convenience callback for printing the metadata of an RPC call (nicer than console.log
) (alias: pm
)
The REPL environment uses node's repl
module, so feel free to use any of the in-built features such as save/restore history etc.
Arguments, Callbacks, & Streaming
Depending on whether your method is a simple call or a streaming call, you'll have to do different things:
- All calls require an argument matching the spec, so if you have an empty message type in your proto for some calls, you'll be sending in
{}
as the first argument to those calls - Remember that Protobuf.js will camelCase class and property names
- Unary calls can take a callback as the second argument which has the signature
function(err, reply)
. reply
will be an object matching the message type as per your proto - For streaming calls, you'll want to use the
EventEmitter
object that is returned when the call is made and connect to the appropriate events. Note the grpc nodejs docs are out of date, check out the examples to see how to work with streams.
--eval & --exec
The --eval
and --exec
options allow running scripts against gRPC servers without the grpcc
repl being activated. The output of the script is sent to stdout so it's possible to use these modes as part of your own scripts/tests/etc:
--eval
$ grpc -i -p foo.proto -a localhost:9090 --eval 'client.getPerson({ id: 1 }, printReply)'
{
"name": "Neil Jagdish Patel",
"location": "London",
"country": "United Kingdom",
}
--exec
$ cat myscript.js
var call = client.add({}, pr);
let i = 0;
let id = setInterval(() => {
if (i > 5) {
clearInterval(id);
return call.end();
}
i++;
call.write({ data: i });
}, 100);
$ grpc -i -p foo.proto -a localhost:9090 --exec myscript.js
{
"sum": 15
}
Examples
There are some example scripts you can run in the examples directory. To test them out, do the following:
Start the example gRPC server
# do this in another terminal tab/window as it has to be running in the background (and will print a lot of information)
$ npm run example-server
Run the example scripts
$ ./bin/grpcc.js --insecure --proto ./test/test.proto --address localhost:8099 --exec ./examples/unary.js
> outputs result of TestService.sayHello()
$ ./bin/grpcc.js -i -p ./test/test.proto -a localhost:8099 -x ./examples/client-stream.js
> script will send 5 'hellos' to server, then end the stream. Server will reply with all five hellos
$ ./bin/grpcc.js -i -p ./test/test.proto -a localhost:8099 -x ./examples/server-stream.js
> script print streamed data from the server until server ends the stream
$ ./bin/grpcc.js -i -p ./test/test.proto -a localhost:8099 -x ./examples/bidirectional-stream.js
> script streams data to server, while server streams data back to client. Either side can end the stream.
You can see the server's output in the other terminal. The unary example also shows how to send and receive metadata
.
Usage
Usage: grpcc [options]
Options:
-V, --version output the version number
-p, --proto <path> path to a protobuf file describing the service (required)
-d, --directory <path> path to a protobuf file directory
-a, --address <host:port> the address of the service to connect to (required)
-s, --service <name> the name of the service to connect to (optional)
-i, --insecure use an insecure connection (default=false)
-e, --eval <string> evaluate script and print result (optional)
-x, --exec <path> execute a script file and print the results (optional)
--root_cert <path> specify root certificate path for secure connections (optional)
--private_key <path> specify private key path for secure connections (optional)
--cert_chain <path> specify certificate chain path for secure connections (optional)
-h, --help output usage information
Todo
Check out the project
License
MIT
Contact
Neil Jagdish Patel
Github Twitter Blog