* Add binary conformance test for default repeated fields
1) Both packed and unpacked encoding should be accepted for parsing.
2) Encode should follow the default way for the syntax.
* Uncomment test
* Remove is_primitive
* Add failed tests to failure lists.
* Add failed test to failure list
* Use binary format to specify expected value
Text format cannot distinguish whether repeated field is packed or not.
* Change method name from ToHexString to ToOctString
* Add failed test to failure list
* Add failed test to php's failure list
* Fix comments
* Add csharp compatibility tests for 3.7.0
* Add compatibility test between last major version with current for C#
* Update last version number
* compatibility tests between last released and the current version
* fix typo
* Add binary conformance test for message type.
* Add test case for merge repeated scalar message field
* Add failed tests to failure list
* Add failed test to php's failure list
* Remove successful tests from php c's failure list
* Fix binary compatibility in FieldCodec factory messages
* Make default value parameter for current factories required
* Route old methods through default value overloads
Currently, if you access a ListValue from a Struct and attempted to
assign it to another Struct, you would get an exception:
> s1 = spb.Struct()
> s1['a'] = [1]
> s2 = spb.Struct()
> s2['a'] = s1['a']
ValueError: Unexpected type
This fixes that case.
I'm not exactly sure why, but this fixes the failing Bazel presubmit
test. Using the most recent version seems like a good idea anyway so
that we can make sure we're compatible with any new Bazel changes.
Since true for objc is external, changes should always start on the github
side, so the fact that something got pushed out is a sign something was
broken in the process.
google/protobuf/testing/zcgzip.cc:61:25: error: unknown type name 'STDOUT_FILENO'
FileOutputStream fout(STDOUT_FILENO);
^
google/protobuf/testing/zcgzip.cc:61:24: warning: parentheses were disambiguated as a function declaration [-Wvexing-parse]
FileOutputStream fout(STDOUT_FILENO);
^~~~~~~~~~~~~~~
google/protobuf/testing/zcgzip.cc:61:25: note: add a pair of parentheses to declare a variable
FileOutputStream fout(STDOUT_FILENO);
^
(
google/protobuf/testing/zcgzip.cc:75:20: error: use of undeclared identifier 'STDIN_FILENO'
readlen = read(STDIN_FILENO, outptr, outlen);
^
1 warning and 2 errors generated.
gmake[3]: *** [Makefile:4009: google/protobuf/testing/zcgzip.o] Error 1
google/protobuf/testing/zcgunzip.cc:62:23: error: unknown type name 'STDIN_FILENO'
FileInputStream fin(STDIN_FILENO);
^
google/protobuf/testing/zcgunzip.cc:62:22: warning: parentheses were disambiguated as a function declaration [-Wvexing-parse]
FileInputStream fin(STDIN_FILENO);
^~~~~~~~~~~~~~
google/protobuf/testing/zcgunzip.cc:62:23: note: add a pair of parentheses to declare a variable
FileInputStream fin(STDIN_FILENO);
^
(
google/protobuf/testing/zcgunzip.cc:74:23: error: use of undeclared identifier 'STDOUT_FILENO'
int err = write(STDOUT_FILENO, inptr, inlen);
^
1 warning and 2 errors generated.
gmake[3]: *** [Makefile:4009: google/protobuf/testing/zcgunzip.o] Error 1
Reference: https://bugs.FreeBSD.org/bugzilla/show_bug.cgi?id=215346https://svnweb.FreeBSD.org/changeset/ports/428734
This changes to_time to use Ruby's built in Time.at with nanos support
rather than calculating a float and passing it to Time.at. The new
version runs about 3 times faster than the original version and
allocates fewer objects.
Warming up --------------------------------------
protobuf#to_time 57.296k i/100ms
faster#to_time 133.229k i/100ms
Calculating -------------------------------------
protobuf#to_time 635.361k (± 2.1%) i/s - 3.209M in 5.052169s
faster#to_time 1.873M (± 3.3%) i/s - 9.459M in 5.055169s
Comparison:
faster#to_time: 1873368.8 i/s
protobuf#to_time: 635361.4 i/s - 2.95x slower
Calculating -------------------------------------
protobuf#to_time 326.000 memsize ( 126.000 retained)
7.000 objects ( 2.000 retained)
0.000 strings ( 0.000 retained)
faster#to_time 86.000 memsize ( 0.000 retained)
1.000 objects ( 0.000 retained)
0.000 strings ( 0.000 retained)
Comparison:
faster#to_time: 86 allocated
protobuf#to_time: 326 allocated - 3.79x more
This library supports an idiomatic proto3 protobuf generator for kotlin.
The library will be open sourced by Toast Inc under the Apache2 license, and is currently used in production at Toast.
The following is the readme.md that will be released with the code by the end of Q4 2019.
Supports only the Protocol Buffers language version 3.
#### Features
- Clean data class generation
- Oneof types handled as sealed classes
- JavaDoc comments on generated code
- Deprecation option pass-through to Kotlin's `@Deprecated` annotation
- Protokt-specific options: non-null types, wrapper types, interface implementation,
and more
- Tight integration with Protobuf's Java library: compatibility with its well-known
types and usage of CodedInputStream and CodedOutputStream for best performance
#### Not yet implemented
- Kotlin native support
- Kotlin JS support
- Support for gRPC service generation
- Protobuf JSON support
See examples in [protokt-testing](https://github.com/toasttab/protokt/tree/master/protokt-testing).
### Generated Code
Generated code is placed in `<buildDir>/generated-sources/main/protokt`.
A simple example:
```proto
syntax = "proto3";
package com.protokt.sample;
message Sample {
string sample_field = 1;
}
```
will produce:
```kotlin
/*
* Generated by protokt. Do not modify.
*/
package com.protokt.sample
import com.toasttab.protokt.rt.*
data class Sample(
val sampleField: String,
val unknown: Map<Int, Unknown> = emptyMap()
) : KtMessage {
@Suppress("UNUSED")
constructor(
sampleField: String = ""
) : this(
sampleField,
emptyMap()
)
override val messageSize by lazy { sizeof() }
override fun serialize(serializer: KtMessageSerializer) {
if (sampleField.isNotEmpty()) {
serializer.write(Tag(10)).write(sampleField)
}
if (unknown.isNotEmpty()) {
serializer.writeUnknown(unknown)
}
}
private fun sizeof(): Int {
var res = 0
if (sampleField.isNotEmpty()) {
res += sizeof(Tag(1)) + sizeof(sampleField)
}
res += unknown.entries.sumBy { it.value.sizeof() }
return res
}
companion object Deserializer : KtDeserializer<Sample> {
override fun deserialize(deserializer: KtMessageDeserializer): Sample {
var sampleField = ""
val unknown = mutableMapOf<Int, Unknown>()
while (true) {
when (deserializer.readTag()) {
0 ->
return Sample(
sampleField,
unknown
)
10 -> sampleField = deserializer.readString()
else -> {
val unk = deserializer.readUnknown()
unknown[unk.fieldNum] = unknown[unk.fieldNum].let {
when (it) {
null -> unk
else ->
when (val v = it.value) {
is ListVal ->
Unknown(unk.fieldNum, ListVal(v.value + unk.value))
else ->
Unknown(unk.fieldNum, ListVal(listOf(v, unk.value)))
}
}
}
}
}
}
}
}
}
```
#### Runtime Notes
##### Package
The Kotlin package of a generated file can be overridden from protobuf package with the `(protokt).package` option:
```proto
syntax = "proto3";
import "protokt.proto";
package com.example;
option (protokt).package = "com.package";
```
##### Message
Each protokt message implements the `KtMessage` interface. `KtMessage` defines the `serialize()`
method and its overloads which can serialize to a byte array, a `KtMessageSerializer`, or on the JVM,
an `OutputStream`.
Each protokt message has a companion object `Deserializer` that implements the `KtDeserializer`
interface, which provides the `deserialize()` method and its overloads to construct an
instance of the message from a byte array, a Java InputStream, or others.
In order to enjoy the full benefits of Kotlin data classes, byte arrays are wrapped in the
protokt `Bytes` class, which provides appropriate `equals()` and `hashCode()` implementations.
##### Enums
Enum fields are generated as data classes with a single integer field. Kotlin enum classes are
closed and cannot retain unknown values, and protobuf requires that unknown enum values are
preserved for reserialization. This compromise exposes a constructor taking an integer, but the
`from(value: Int)` on an enum's `Deserializer` should be preferred as it avoids instantiation
when possible.
Other notes:
- `optimize_for` is ignored.
- `repeated` fields are deserialized to Lists.
- `map` fields are deserialized to Maps.
- `oneof` fields are represented as data class subtypes of a sealed base class with a single property.
### Extensions
See examples of each option in the [protokt-options](https://github.com/toasttab/protokt/tree/master/protokt-testing/protokt-options/src/main/proto)
module. All protokt-specific options require importing `protokt.proto` in the protocol file.
#### Wrapper Types
Sometimes a field on a protobuf message corresponds to a concrete nonprimitive type. In
standard protobuf the user would be responsible for this extra transformation, but the
protokt wrapper type option allows specification of a converter that will automatically
encode and decode custom types to protobuf primitives and well-known types. Some standard
types are implemented in
[protokt-extensions](https://github.com/toasttab/protokt/tree/master/protokt-extensions/src/main/kotlin/com/toasttab/protokt/ext).
Wrap a field by invoking the `(protokt_property).wrap` option:
```proto
message DateWrapperMessage {
int64 date = 1 [
(protokt_property).wrap = "java.util.Date"
];
}
```
Converters implement the `Converter` interface:
```kotlin
interface Converter<S: Any, T: Any> {
val wrapper: KClass<S>
fun wrap(unwrapped: T): S
fun unwrap(wrapped: S): T
}
```
and protokt will reference the converter's methods to wrap and unwrap from protobuf primitives:
```kotlin
object DateConverter : Converter<Date, Long> {
override val wrapper = Date::class
override fun wrap(unwrapped: Long) =
Date(unwrapped)
override fun unwrap(wrapped: Date) =
wrapped.time
}
```
```kotlin
data class WrapperModel(
val date: java.util.Date,
...
) : KtMessage {
...
override fun serialize(serializer: KtMessageSerializer) {
serializer.write(Tag(10)).write(Int64(DateConverter.unwrap(date)))
...
}
override fun deserialize(deserializer: KtMessageDeserializer): WrapperModel {
var date = 0L
while (true) {
when (deserializer.readTag()) {
0 ->
return WrapperModel(
DateConverter.wrap(date),
...
)
...
}
}
}
}
```
Converters can also implement the `OptimizedSizeofConverter` interface adding `sizeof()`,
which allows them to optimize the calculation of the wrapper's size rather than unwrap
the object twice. For example, a UUID is always 16 bytes:
```kotlin
object UuidConverter : OptimizedSizeofConverter<UUID, ByteArray> {
override val wrapper = UUID::class
private val sizeofProxy = ByteArray(16)
override fun sizeof(wrapped: UUID) =
sizeof(sizeofProxy)
override fun wrap(unwrapped: ByteArray): UUID {
require(unwrapped.size == 16) {
"input must have size 16; had ${unwrapped.size}"
}
return ByteBuffer.wrap(unwrapped)
.run { UUID(long, long) }
}
override fun unwrap(wrapped: UUID) =
ByteBuffer.allocate(16)
.putLong(wrapped.mostSignificantBits)
.putLong(wrapped.leastSignificantBits)
.array()
}
```
Rather than convert a UUID to a byte array both for size calculation and for serialization
(which is what a naïve implementation would do), UuidConverter always returns the size of a
constant 16-byte array.
If the wrapper type is in the same package as the generated protobuf message, then it
does not need a fully-qualified name. Custom wrapper type converters can be in the same module as
protobuf types that reference them. In order to use any wrapper type defined in
`protokt-extensions`, the module must be included as a dependency:
```groovy
dependencies {
implementation 'com.toasttab.protokt:protokt-extensions:0.0.3'
}
```
#### Interface implementation
To avoid the need to create domain-specific objects from protobuf messages you can declare
that a protobuf message implements a custom interface with properties and default methods.
```kotlin
package com.protokt.sample
interface Model {
val id: String
}
```
```proto
package com.protokt.sample;
message ImplementsSampleMessage {
option (protokt_class).implements = "Model";
string id = 1;
}
```
If the wrapper interface is in the same package as the generated protobuf message, then it
does not need a fully-qualified name. Wrapper interfaces cannot be used by protobuf messages
in the same module that defines them; the dependency must be declared with`protoktExtensions`
in `build.gradle`:
```groovy
dependencies {
protoktExtensions project(':api-module')
}
```
#### Nonnull fields
If there is a message that has no meaning whatsoever when a particular field is missing, you
can emulate proto2's `required` key word by using the `(protokt_oneof).non_null` option:
```proto
message Sample {
}
message NonNullSampleMessage {
Sample non_null_sample = 1 [
(protokt_property).non_null = true
];
}
```
Generated code will not have a nullable type so the field can be referenced without using
Kotlin's `!!`.
Oneof fields can also be declared non-null:
```proto
message NonNullSampleMessage {
oneof non_null_oneof {
option (protokt_oneof).non_null = true;
string message = 2;
}
}
```
Note that deserialization of a message with a non-nullable field will fail if the
message being decoded does not contain an instance of the required field.
#### BytesSlice
When reading messages that contain other serialized messages as `bytes` fields, protokt can
keep a reference to the originating byte array to prevent a large copy operation on
deserialization. This can be desirable when the wrapping message is a thin metadata shim and
doesn't include much memory overhead:
```proto
message SliceModel {
int64 version = 1;
bytes encoded_message = 2 [
(protokt_property).bytes_slice = true
];
}
```
### Usage
#### Gradle
```groovy
buildscript {
dependencies {
classpath "com.toasttab.protokt:protokt-gradle-plugin:0.0.3"
}
}
apply plugin: 'com.toasttab.protokt'
```
This will automatically download and install protokt, apply the Google protobuf plugin,
and configure all the necessary boilerplate. By default it will also add `protokt-runtime`
to the api scope of the project, and `protobuf-java` to the implementation scope.
If your project is pure Kotlin you may run into the following error:
```
Execution failed for task ':compileJava'.
> error: no source files
```
To work around it, disable all `JavaCompile` tasks in the project:
```groovy
tasks.withType(JavaCompile) {
enabled = false
}
```
or:
```groovy
compileJava.enabled = false
```
#### Command line code generation
```bash
protokt-codegen$ ./gradlew assemble [OR ./gradlew installDist]
protokt-codegen$ ./run-protokt.sh -h
protokt-codegen$ ./run-protokt.sh \
-out=../kotlin \
-pkg=com.toasttab.protokt.conformance \
-file=conformance.proto \
-cp=../build/libs/protokt-codegen-0.0.3-SNAPSHOT-all.jar \
-plugin=../bin/protokt.sh
```
### Contribution
To enable rapid development of the code generator, the protobuf conformance tests have been
compiled and included in the protokt-testing project. They run on Mac OS 10.14+ and Ubuntu
16.04 x86-64.
Publish the plugin to the integration repository:
```bash
protokt$ ./gradlew publishToIntegrationRepository
```
Then run the tests from `protokt-testing`:
```bash
protokt-testing$ ./gradlew protokt-conformance-tests:test
```
All integration tests can be run with:
```
protokt-testing$ ./gradlew test
```
Laszlo Csomor
Andrei Shevtsov
Paul Yang
Jie Luo
Joe Bolinger
Lian Duan
Josh Humphries
Yannic Bonenberger
rmstar
Wang Kirin
Sydney Acksman
Leon Barrett
Adam Cozzette
Thomas Van Lenten
Adam Liddell
Po-Chuan Hsieh
Seth Greenstein
Hao Nguyen
Chris Gaffney
Ben Gordon
Ben Bader
Yilun Chong