A tool to dynamically create protobuf message classes from JSON Typedef
Project description
JTD To Proto
This library holds utilities for converting JSON Typedef to Protobuf.
Why?
The protobuf
langauge is a powerful tool for defining language-agnostic, composable datastructures. JSON Typedef
(JTD
) is also a powerful tool to accomplish the same task. Both have advantages and disadvantages that make each fit better for certain use cases. For example:
Protobuf
:- Advantages
- Compact serialization
- Auto-generated
grpc
client and service libraries - Client libraries can be used from different programming languages
- Disadvantages
- Learning curve to understand the full ecosystem
- Not a familiar tool outside of service engineering
- Static compilation step required to use in code
- Advantages
JTD
:- Advantages
- Can be learned in 5 minutes
- Can be written inline in the programming language of choice (e.g. as a
dict
inpython
)
- Disadvantages
- No optimized serialization beyond
json
- No automated service implementations
- Static
jtd-codegen
step needed to generate native structures
- No optimized serialization beyond
- Advantages
This project aims to bring them together so that a given project can take advantage of the best of both:
- Define your structures in
JTD
for simplicity - Dynamically create
google.protobuf.Descriptor
objects to allow forprotobuf
serialization and deserialization - Reverse render a
.proto
file from the generatedDescriptor
so that stubs can be generated in other languages - No static compiliation needed!
Usage
The usage of this library can be best understood with a simple example:
import jtd_to_proto
# Declare the Foo protobuf message class
Foo = jtd_to_proto.descriptor_to_message_class(
jtd_to_proto.jtd_to_proto(
name="Foo",
package="foobar",
jtd_def={
"properties": {
# Bool field
"foo": {
"type": "boolean",
},
# Array of nested enum values
"bar": {
"elements": {
"enum": ["EXAM", "JOKE_SETTING"],
}
}
}
},
)
)
def write_foo_proto(filename: str):
"""Write out the .proto file for Foo to the given filename"""
with open(filename, "w") as handle:
handle.write(Foo.to_proto_file())
Similar Projects
There are a number of similar projects in this space that offer slightly diferent value:
jtd-codegen
: This project focuses on statically generating language-native code (includingpython
) to represent the JTD schema.py-json-to-proto
: This project aims to deduce a schema from an instance of ajson
object.pure-protobuf
: This project has a very similar aim tojtd-to-proto
, but it skips the intermediatedescriptor
representation and thus is not able to produce nativemessage.Message
classes.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
Hashes for jtd_to_proto-0.1.0-py310-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d050ec6604cc5e9b1000ea5a888326e5b2dacc3a140a4bda2cd43e1eccbaf42f |
|
MD5 | eadb269015663a63eeaf2578a6704626 |
|
BLAKE2b-256 | 082de192e1b8b09f4633d8dc733cd18e3eeb13c49f063da88faf66c67a6cbfac |
Hashes for jtd_to_proto-0.1.0-py39-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e40d285e21df745edd733f082db221138456a3d27fda2750ba244877c026680e |
|
MD5 | b796f86b3d4c3c749c8de6be003502bf |
|
BLAKE2b-256 | a4cafa08d6a266f13a103e0e4271ce4911bf4c171fcaab7749ef2fccbbc6bbf4 |
Hashes for jtd_to_proto-0.1.0-py38-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5ca530a5ca1eeffdb3dffbca35488dcd071c059fdf7e2aba8cfe7838331fa1f7 |
|
MD5 | 16d85de77439178827a9c661935b705e |
|
BLAKE2b-256 | 7428e6724d1b79e8880780c9d8dee0994aa60ef366df332e8aa3270c91959de3 |
Hashes for jtd_to_proto-0.1.0-py37-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f4a1647b2ed3797beb59f1739e02b68d3b25a0e2c23f4f6e676db540c41ef782 |
|
MD5 | 975d4501af77d1f0d839c698b9d8300b |
|
BLAKE2b-256 | ed77cbad1ca7e879f065c8874631b050f626957614f1b9989f04b88f3c118abf |