protobuf.js | Protocol Buffers for JavaScript | Serialization library
kandi X-RAY | protobuf.js Summary
kandi X-RAY | protobuf.js Summary
Protocol Buffers are a language-neutral, platform-neutral, extensible way of serializing structured data for use in communications protocols, data storage, and more, originally designed at Google (see).
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Top functions reviewed by kandi - BETA
- Parse source node .
- Split a string into an array of tokens .
- Build a JSDoc type definition .
- Updates the f32 data
- A field type
- Generates a decoder for the given field .
- Get the next comment token .
- call scriptdoc
- Build a function .
- Builds a service .
protobuf.js Key Features
protobuf.js Examples and Code Snippets
License : Strong Copyleft (CC BY-SA 4.0)
Copyconst protobufjs = require('protobufjs');
// load proto files once. Note v1 below: if you use speech.v1p1beta1, use it in the path
const root = protobuf.loadSync([ // note: synchronous file read - use .load() to use callback API
'./nodeconst path = require("path");
const protobufjs = require("protobufjs");
const definition = path.join(__dirname, "../../../public/escrow/ui.proto");
const proto = protobufjs.loadSync(definition);
module.exports = {
Status: proto.lookupTypnpm install @vue/cli -g --ignore-scripts
npm install protobufjs -g --ignore-scripts
node ~/n/lib/node_modules/protobufjs/bin/scripts/postinstall.js
Community Discussions
Trending Discussions on protobuf.js
QUESTION
I am using Google Ads API SDK for Python. I want to get some Ads data and put them into a Dataframe to transform a bit. I made a call with the code below:
...ANSWER
Answered 2021-May-16 at 14:38Sorry for bothering, but I found this question and got the answer for my question.
I changed my code to below (add ._pb to the response):
QUESTION
I'm trying to figure out if a protobuf descriptor or object can be converted to JSON/Dict Python object from a pb2 file generated by prototool. This is what I have done so far:
- I wrote a
config.protofile withTopConfigas my message. - I ran
prototool generate config.prototo generateconfig_pb2.py. - Now I want to generate a JSON/Dict object in Python with default values for
TopConfig
ANSWER
Answered 2021-Apr-01 at 20:58Ok, so I figured it out on my own.
My mistake was that my TopConfig only had other messages nested within it but didn't have other data fields. MessageToDict will only work with unnested messages, and it will not show enum and oneof data as well.
QUESTION
I am trying to use GRPC with TypeScript, and I am trying to make sure I have all the types set (rather than just adding my own mapping or using any.
I've gotten as far as with problems I am experiencing noted in the comments.
...ANSWER
Answered 2020-Dec-16 at 18:54There's 3 main tools you can use:
I'd recommend either @grpc/proto-loader or ts-protoc-gen. grpc_tools_node_protoc_ts takes a different approach and requires you to use @ts-ignore for the server type (really not ideal).
If you want to use the proto-loader to generate the types, you'll need to use the pre-release version (at time of writing):
QUESTION
I am working with the google speech to text API. It returns an object of type google.cloud.speech_v1.types.RecognizeResponse. I have found this almost unusable in Python as I cannot iterate over it to get the multiple text strings returned.
After much searching for solutions to make this usable in Python I found a solution in Stack Overflow to use from google.protobuf.json_format.MessageToJson(). However when I run the below function...
...ANSWER
Answered 2020-Dec-02 at 11:59The MessageToJson converts the RecognizeResponse from protobuf message to JSON format but in a form of string.
You can work directly with the RecognizeResponse in the following way:
QUESTION
I am trying to use google cloud natural language API for analyzing entity sentiments.
...ANSWER
Answered 2020-Oct-22 at 20:53As part of google-cloud-language 2.0.0 migration, response messages are provided by proto-plus, which wraps the raw protobuf messages. ParseDict and MessageToDict are methods provided by protobuf and since proto-plus wraps the proto messages those protobuf methods can no longer be used directly.
Replace
QUESTION
I'm having issues with the face detection model from the Google Video Intelligence API.
I'm using Python 3.6.5, and google-cloud-videointelligence==1.15.0.
Occasionally I will receive a mangled response from the face detection model. I am parsing the response from the API by converting it into a dictionary using google.protobuf.json_format.MessageToDict(). I expect one of two behaviours to occur:
A. If faces are present in the video, I expect the results to be under the key 'FaceDetectionAnnotations', and take the form of a dictionary of dictionaries; with the keys of the outer dictionary being the 'segment number' (an integer), and the inner dictionaries looking something like this:
ANSWER
Answered 2020-Oct-21 at 09:58Currently, there is an open issue regarding your concern, here. There engineering team is looking into it, you can keep track of its progress by following the thread linked above.
QUESTION
I am new to protocol buffer and I am trying to decode data from an api response.
I get encoded data from the api response and I have a .proto file to decode the data, how do I decode the data in nodeJS. I have tried using protobuf.js but I am very confused, I have spent hours trying to solve my problem looking at resources but I cannot find a solution.
...ANSWER
Answered 2020-Sep-28 at 07:54Protobufjs allows us to encode and decode protobuf messages to and from binary data, based on .proto files.
Here's a simple example of encoding and then decoding a test message using this module:
QUESTION
I am creating an ApolloExpressServer using TypeScript. The code runs fine when running in development mode using
...ANSWER
Answered 2020-Sep-14 at 13:43I found the issue. it was in happening because of the moduleAlias in my package.json. I had created a module aliases like
QUESTION
I'm encountering a weird bug while using Protobuf in my TypeScript frontend. I'm using Axios to make calls to my REST API and the protobuf.js package to handle Protobuf in my frontend. I'm new to protobuf, and the issue may stem from my lack of knowledge.
The problem arises when I'm making multiple calls to my API with a payload.
For example, I want to post 3 objects: object_1, object_2, and object_3. Hence, I'm making three post requests. The first request is always correctly handled—object_1 is added to the backend. However, the following ones, to post object_2 and object_3, are posting object_1 again. I've investigated the issue and found that my protobuf is appended to the payload. Meaning that I've got object_1, and object_2 in the second request's payload and object_1, object_2, and object_3 in the third request's payload. My API only reads the first protobuf, i.e., object_1 and adds three times object_1.
I'm using the protobuf.js package as stated in the documentation:
...ANSWER
Answered 2020-Sep-07 at 14:32The Writer object of protobufjs uses a shared array buffer.
But axios post doesn't look for the byteOffset and byteLength properties and uses the entire shared buffer, not just the bytes you want.
You can extract the relevant bytes like this:
QUESTION
I'm new to protobuf, so I don't know how to frame the question correctly.
Anyways, I'm using this Model Config proto file. I converted it into python using this command protoc -I=. --python_out=. ./model_server_config.proto from Protocol Buffer page. Now I have some python files which I can import and work on. My objective is to create a file (for running the TensorFlow model server with multiple models) which should look like the following:
ANSWER
Answered 2020-Jul-28 at 19:35I don't know anything about what system will be reading your file, so I can't say anything about how you should write it to a file. It really depends on how the Model Server expects to read it.
That said, I don't see anything wrong with how you're creating the message, or any of the serialization methods you've shown.
- The
printmethod shows a "text format" proto, which is good for debugging and is sometimes used for storing configuration files. It's not very compact (field names are present in the file) and doesn't have all the backwards- and forwards-compatible features of the binary representation. It's actually funcionally the same as what you've said it "should look like": the colons and commas are actually optional. - The
SerializeToString()method uses the binary serialization format. This is arguably what Protocol Buffers were built to do. It's a compact representation and provides backwards and forwards compatibility, but it's not very human-readable. - As the name suggests, the
json_formatmodule provides a JSON representation of the message. That's perfectly good if the system you're interacting with expects a JSON, but it's not exactly common.
Appendix: instead of using print(), the google.protobuf.text_format module has utilities better suited to using the text format programmatically. To write to a file, you could use:
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