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Test Pursuit

PureScript library and code generator for Google Protocol Buffers version 3.

This library operates on ArrayBuffer, so it will run both in Node.js and in browser environments.


We aim to support binary-encoded (not JSON-encoded) syntax = "proto3"; descriptor files.

Many syntax = "proto2"; descriptor files will also work, as long as they don't use "proto2" features, especially groups, which we do not support.

We do not support extensions.

We do not support services.

Conformance and Testing

In this version, we pass all 651 of the Google conformance tests of binary-wire-format proto3 for Protocol Buffers v3.15.8. See the conformance/ in this repository for details.

We also have our own unit tests, see test/ in this repository.

Code Generation

The shell.nix environment provides

  • The PureScript toolchain: purs, spago, and node.
  • The protoc compiler
  • The protoc-gen-purescript executable plugin for protoc on the PATH so that protoc can find it.
$ nix-shell

PureScript Protobuf development environment.
libprotoc 3.15.8
purs 0.14.3

To build the protoc compiler plugin, run:

    npm install
    spago -x spago-plugin.dhall build

To generate PureScript .purs files from .proto files, run:

    protoc --purescript_out=path_to_output *.proto

If you don't want to use Nix, then install the PureScript toolchain and protoc, and add the executable script bin/protoc-gen-purescript to your PATH.

Writing programs with the generated code

The code generator will use the package import statement in the .proto file and the base .proto file name as the PureScript module name for that file.

A message in a shapes.proto descriptor file declared as

syntax = "proto3";
package interproc;

message Rectangle {
  double width = 1;
  double height = 2;

will export these four names from module Interproc.Shapes in a generated shapes.Interproc.purs file.

  1. A message data type

    newtype Rectangle = Rectangle { width :: Maybe Number, height :: Maybe Number }

    The message data type will also include an __unknown_fields array field for holding received fields which were not in the descriptor .proto file. We can ignore __unknown_fields if we want to.

  2. A message maker which constructs a message from a Record with some message fields

    mkRectangle :: forall r. Record r -> Rectangle

    All message fields are optional, and can be omitted when making a message. There are some extra type constraints, not shown here, which will cause a compiler error if we try to add a field which is not in the message data type.

    If we want the compiler to check that we've explicitly supplied all the fields, then we can use the ordinary message data type constructor Rectangle.

  3. A message encoder which works with purescript-arraybuffer-builder

    putRectangle :: forall m. MonadEffect m => Rectangle -> PutM m Unit
  4. A message decoder which works with purescript-parsing-dataview

    parseRectangle :: forall m. MonadEffect m => ByteLength -> ParserT DataView m Rectangle

    The message decoder needs an argument which tells it the length of the message which it’s about to decode, because “the Protocol Buffer wire format is not self-delimiting.”

In our program, our imports will look something like this. The only module from this package which we will import into our program will be the Protobuf.Library module. We'll import the message modules from the generated .purs files. We'll also import modules for reading and writing ArrayBuffers.

import Protobuf.Library (Bytes(..), parseMaybe)
import Interproc.Shapes (Rectangle, mkRectangle, putRectangle, parseRectangle)
import Text.Parsing.Parser (runParserT, ParseError)
import Data.ArrayBuffer.Builder (execPutM)
import Data.ArrayBuffer.DataView (whole)
import Data.ArrayBuffer.ArrayBuffer (byteLength)
import Data.Tuple (Tuple)
import Data.Newtype (unwrap)

This is how we serialize a Rectangle to an ArrayBuffer. We must be in a MonadEffect.

    arraybuffer <- execPutM $ putRectangle $ mkRectangle
        { width: Just 3.0
        , height: Just 4.0

Next we'll deserialize Rectangle from the ArrayBuffer that we just made.

    result :: Either ParseError (Tuple Number Number)
      <- runParserT (whole arraybuffer) $ do

        rectangle :: Rectangle <- parseRectangle (byteLength arraybuffer)

At this point we've consumed all of the parser input and constructed our Rectangle message, but we're not finished parsing. We want to “validate” the Rectangle message to make sure it has all of the fields that we require, because in proto3, all fields are optional.

Fortunately we are already in the ParserT monad, so we can do better than to “validate”: Parse, don't validate.

We will construct a Tuple Number Number with the width and height of the Rectangle. If the width or height are missing from the Rectangle message, then we will fail in the ParserT monad.

For this validation step, pattern matching on the Rectangle message type works well, so we could validate this way:

        case rectangle of
            Rectangle { width: Just width, height: Just height } ->
                pure $ Tuple width height
            _ -> fail "Missing required width or height"

Or we might want to use parseMaybe, one of the convenience parsing functions exported by Protobuf.Library, for more fine-grained validation:

        width <- parseMaybe "Missing required width" (unwrap rectangle).width
        height <- parseMaybe "Missing required height" (unwrap rectangle).height
        pure $ Tuple width height

And now the result is either a parsing error or a fully validated rectangle.


The generated code modules will import modules from this package.

The generated code depends on packages which are all in package-sets.

The generated code also depends on the Javascript package long.

Generated message instances

All of the generated message types have instances of Eq, Show, Generic, NewType.

Usage Examples

The purescript-protobuf repository contains three executable Node.js programs which use code generated by purescript-protobuf. Refer to these for further examples of how to use the generated code.

  1. The protoc compiler plugin. The code generator imports generated code. Trippy, right? This program literally writes itself.
  2. The unit test suite
  3. The Google conformance test program

The Protobuf Decoder Explainer shows an example of how to use this library to parse binary protobuf when we don’t have access to the .proto descriptor schema file and can’t generate message-reading code.

Presence Discipline

This is how field presence works in our implementation.

When deserializing

A message field will always be Just when a field is present on the wire. A message field will always be Nothing when a field is not present on the wire, even if it’s a no presence field. If we want interpret a missing no presence field as a default value then we have the Protobuf.Library.toDefault function for that.

When serializing

The no presence fields will not be serialized when they are Nothing or Just their default value.

The explicit presence (optional) fields will not be serialized when they are Nothing. They will be serialized when they are Just their default value.

Interpreting invalid encoding parse failures

When the decode parser encounters an invalid encoding in the protobuf input stream then it will fail to parse.

When Text.Parsing.Parser.ParserT fails it will return a ParseError String (Position {line::Int,column::Int}).

The byte offset at which the parse failure occured is given by the formula column - 1.

The path to the protobuf definition which failed to parse will be included in the ParseError String and delimited by '/', something like "Message1 / string_field_1 / Invalid UTF8 encoding.".

Protobuf Imports

The Protobuf import statement allows Protobuf messages to have fields consisting of Protobuf messages imported from another file, and qualified by the package name in that file. In order to generate the correct PureScript module name qualifier on the types of imported message fields, the code generator must be able to lookup the package name statement in the imported file.

For that reason, we can only use top-level (not nested) message and enum types from a Protobuf import.

PureScript Imports

The generated PureScript code will usually have module imports which cause the purs compiler to emit redundant import warnings. Sorry. If this causes trouble then the imports can be fixed automatically in a precompiling pass with the command-line tool purescript-suggest.

Nix derivation

If we want to run the .proto.purs generation step as part of a pure Nix derivation, then import the top-level default.nix from this repository as a nativeBuildInput.

Then protoc --purescript_out=path_to_output file.proto will be runnable in our derivation phases.

See the nix/demo.nix file for an example.


Pull requests welcome.

Other References