Lile is a application generator (think create-react-app
, rails new
or django startproject
) for gRPC services in Go and a set of tools/libraries.
The primary focus of Lile is to remove the boilerplate when creating new services by creating a basic structure, test examples, Dockerfile, Makefile etc.
Lile comes with basic pre setup with pluggable options for things like...
- Metrics (e.g. Prometheus)
- Tracing (e.g. Zipkin)
- PubSub (e.g. Google PubSub)
- Service Discovery
Installation
Installing Lile is easy, using go get
you can install the cmd line app to generate new services and the required libraries. First you'll need Google's Protocol Buffers installed.
$ brew install protobuf
$ go get -u github.com/lileio/lile/...
Getting Started
To generate a new service, run lile new
with a short folder path.
$ lile new lileio/users
Guide
- Creating a Service
- Service Definition
- Generating RPC Methods
- Running and Writing Tests
- Using the Generated cmds
- Adding your own cmds
Creating a Service
Lile comes with a 'generator' to quickly generate new Lile services.
Lile follows Go's conventions around $GOPATH
(see How to Write Go) and is smart enough to parse your new service's name to create the service in the right place.
If your Github username was lileio
and you wanted to create a new service for posting to Slack you might use the following command.
lile new lileio/slack
This will create a project in $GOPATH/src/github.com/lileio/slack
Service Definitions
Lile creates gRPC and therefore uses protocol buffers as the language for describing the service methods, the requests and responses.
I highly recommend reading the Google API Design docs for good advice around general naming of RPC methods and messages and how they might translate to REST/JSON, via the gRPC gateway
An example of a service definition can be found in the Lile example project account_service
service AccountService {
rpc List (ListAccountsRequest) returns (ListAccountsResponse) {}
rpc GetById (GetByIdRequest) returns (Account) {}
rpc GetByEmail (GetByEmailRequest) returns (Account) {}
rpc AuthenticateByEmail (AuthenticateByEmailRequest) returns (Account) {}
rpc GeneratePasswordToken (GeneratePasswordTokenRequest) returns (GeneratePasswordTokenResponse) {}
rpc ResetPassword (ResetPasswordRequest) returns (Account) {}
rpc ConfirmAccount (ConfirmAccountRequest) returns (Account) {}
rpc Create (CreateAccountRequest) returns (Account) {}
rpc Update (UpdateAccountRequest) returns (Account) {}
rpc Delete (DeleteAccountRequest) returns (google.protobuf.Empty) {}
}
Generating RPC Methods
By default Lile will create a example RPC method and a simple message for request and response.
syntax = "proto3";
option go_package = "github.com/lileio/slack";
package slack;
message Request {
string id = 1;
}
message Response {
string id = 1;
}
service Slack {
rpc Read (Request) returns (Response) {}
}
Let's modify this to be a real service and add our own method.
We're going to create an Announce
method that will announce a message to a Slack room.
We're assuming that the Slack team and authentication is already handled by the services configuration, so a user of our service only needs to provide a room
and their message
. The service is going to send the special Empty
response, since we only need to know if an error occurred and don't need to know anything else.
Our proto
file now looks like this...
syntax = "proto3";
option go_package = "github.com/lileio/slack";
import "google/protobuf/empty.proto";
package slack;
message AnnounceRequest {
string channel = 1;
string msg = 2;
}
service Slack {
rpc Announce (AnnounceRequest) returns (google.protobuf.Empty) {}
}
We now run the protoc
tool with our file and the Lile method generator plugin.
protoc -I . slack.proto --lile-server_out=. --go_out=plugins=grpc:$GOPATH/src
Handily, Lile provides a Makefile
with each project that has a proto
build step already configured. So we can just run that.
make proto
We can see that Lile will create two files for us in the server
directory.
$ make proto
protoc -I . slack.proto --lile-server_out=. --go_out=plugins=grpc:$GOPATH/src
2017/07/12 15:44:01 [Creating] server/announce.go
2017/07/12 15:44:01 [Creating test] server/announce_test.go
Let's take a look at the announce.go
file that's created for us.
package server
import (
"errors"
"github.com/golang/protobuf/ptypes/empty"
"github.com/lileio/slack"
context "golang.org/x/net/context"
)
func (s SlackServer) Announce(ctx context.Context, r *slack.AnnounceRequest) (*empty.Empty, error) {
return nil, errors.New("not yet implemented")
}
We can now fill in this generated method with the correct implementation. But let's start with a test!
Running & Writing Tests
When you generate an RPC method with Lile a counterpart test file is also created. For example, given our announce.go
file, Lile will create announce_test.go
in the same directory.
This should look something like the following..
package server
import (
"testing"
"github.com/lileio/slack"
"github.com/stretchr/testify/assert"
context "golang.org/x/net/context"
)
func TestAnnounce(t *testing.T) {
ctx := context.Background()
req := &slack.AnnounceRequest{}
res, err := cli.Announce(ctx, req)
assert.Nil(t, err)
assert.NotNil(t, res)
}
You can now run the tests using the Makefile
and running make test
...
$ make test
=== RUN TestAnnounce
--- FAIL: TestAnnounce (0.00s)
Error Trace: announce_test.go:16
Error: Expected nil, but got: &status.statusError{Code:2, Message:"not yet implemented", Details:[]*any.Any(nil)}
Error Trace: announce_test.go:17
Error: Expected value not to be nil.
FAIL
coverage: 100.0% of statements
FAIL github.com/lileio/slack/server 0.011s
make: *** [test] Error 2
Our test failed because we haven't implemented our method, at the moment we're returning an error of "unimplemented" in our method.
Let's implement the Announce
method in announce.go
, here's an example using nlopes
' slack library.
package server
import (
"os"
"google.golang.org/grpc/codes"
"google.golang.org/grpc/status"
"github.com/golang/protobuf/ptypes/empty"
"github.com/lileio/slack"
sl "github.com/nlopes/slack"
context "golang.org/x/net/context"
)
var api = sl.New(os.Getenv("SLACK_TOKEN"))
func (s SlackServer) Announce(ctx context.Context, r *slack.AnnounceRequest) (*empty.Empty, error) {
_, _, err := api.PostMessage(r.Channel, r.Msg, sl.PostMessageParameters{})
if err != nil {
return nil, status.Errorf(codes.Internal, err.Error())
}
return &empty.Empty{}, nil
}
Let's fill out our testing request and then run our tests again...
package server
import (
"testing"
"github.com/lileio/slack"
"github.com/stretchr/testify/assert"
context "golang.org/x/net/context"
)
func TestAnnounce(t *testing.T) {
ctx := context.Background()
req := &slack.AnnounceRequest{
Channel: "@alex",
Msg: "hellooo",
}
res, err := cli.Announce(ctx, req)
assert.Nil(t, err)
assert.NotNil(t, res)
}
Now if I run the tests with my Slack token as an ENV
variable, I should see a passing test!
$ alex@slack: SLACK_TOKEN=zbxkkausdkasugdk make test
go test -v ./... -cover
? github.com/lileio/slack [no test files]
=== RUN TestAnnounce
--- PASS: TestAnnounce (0.32s)
PASS
coverage: 75.0% of statements
ok github.com/lileio/slack/server 0.331s coverage: 75.0% of statements
? github.com/lileio/slack/slack [no test files]
? github.com/lileio/slack/slack/cmd [no test files]
? github.com/lileio/slack/subscribers [no test files]
Using the Generated cmds
Lile generates a cmd line application based on cobra when you generate your service. You can extend the app with your own cmds or use the built-in cmds to run the service.
Running the cmd line app without any arguments will print the generated help.
For example go run orders/main.go
up
Running up
will run both the RPC server and the pubsub subscribers.
go run orders/main.go
Adding your own cmds
To add your own cmd, you can use the built in generator from cobra which powers Lile's cmds
$ cd orders
$ cobra add import
You can now edit the file generated to create your cmd, cobra
will automatically add the cmd's name to the help.