@waves/protobuf-serialization

Generated types and methods for encoding and decoding protobuf messages as well as working with gRPC services.

Usage no npm install needed!

<script type="module">
  import wavesProtobufSerialization from 'https://cdn.skypack.dev/@waves/protobuf-serialization';
</script>

README

About

Waves protobuf schemas repository

How to use

Java

Add dependency to your pom.xml

<dependency>
    <groupId>com.wavesplatform</groupId>
    <artifactId>protobuf-schemas</artifactId>
    <version>{version}</version>
</dependency>

ScalaPB

  1. Add dependency to your build.sbt:
libraryDependencies += "com.wavesplatform" % "protobuf-schemas" % "{version}" % "protobuf-src" intransitive()
  1. Configure ScalaPB to compile external schemas with:
inConfig(Compile)(Seq(
   PB.protoSources in Compile := Seq(PB.externalIncludePath.value),
   includeFilter in PB.generate := new SimpleFileFilter((f: File) => f.getName.endsWith(".proto") && f.getParent.endsWith("waves")),
   PB.targets += scalapb.gen(flatPackage = true) -> sourceManaged.value
 ))
  1. If you use SNAPSHOT version, add this line
resolvers += Resolver.sonatypeRepo("snapshots")

See ScalaPB docs for more info.

JavaScript

Npm package: @waves/protobuf-serialization.

It contains generated JavaScript classes, TypeScript definitions as well as raw proto files. The default build uses CommonJS and includes all of the proto files. We used pbjs to build JavaScript and pbts to build TypeScript definitions.

You could also make your own custom build from raw .proto files, for example, if you want to use only a subset of proto schemas or gRPC services. They can be found in @waves/protobuf-serialization/proto directory.

long.js is used for 64-bit integers: int64, uint64, etc.

Example:

  1. npm install --save @waves/protobuf-serialization
  2. Default build usage
import { waves } from '@waves/protobuf-serialization';

const block = new waves.Block();
block.header = // ... set necessary fields

const buffer = waves.Block.encode(block);

const blockDecoded = waves.Block.decode(buffer);

C

  1. Add App.config, packages.config to your C# solution
  2. Add
  <ItemGroup>
    <Protobuf Include="proto\waves\*.proto" OutputDir="waves\%(RelativePath)" GrpcServices="None" />
    <Protobuf Include="proto\waves\events\*.proto" OutputDir="waves\events\%(RelativePath)" GrpcServices="None" />
    <Protobuf Include="proto\waves\node\grpc\*.proto" OutputDir="waves\node\grpc\%(RelativePath)" GrpcServices="Both" />
  </ItemGroup>

to your .csproj file. After this just build your project.

or as alternative you can use util protoc, for example: protoc --csharp_out=RelativePath --proto_path=RelativePathToProtoDir RelativePathToProtoFile

Also there is a NuGet package WavesPlatform.ProtobufSchema with this project.

Rust

Add dependency to your Cargo.toml

[dependencies]
waves-protobuf-schemas = { git = "https://github.com/wavesplatform/protobuf-schemas" }

How to generate sources locally

Java

Use mvn package to create JAR artifacts:

  1. protobuf-schemas-{version}-protobuf-src.jar - raw .proto files
  2. protobuf-schemas-{version}.jar - protoc-generated Java classes

Python

Generating python sources requires python 3 or later. Run the following commands from the root of this repository to generate python sources in /target/python:

python3 -m venv .venv
. .venv/bin/activate
pip install grpcio grpcio-tools
python -m grpc_tools.protoc --proto_path=./proto  --python_out=./target/python  `find ./proto -type f`

Tweak --python_out parameter to generate files elsewhere. Target path should likely be absolute.