Security News
Input Validation Vulnerabilities Dominate MITRE's 2024 CWE Top 25 List
MITRE's 2024 CWE Top 25 highlights critical software vulnerabilities like XSS, SQL Injection, and CSRF, reflecting shifts due to a refined ranking methodology.
gRPC client that let's you manipulate the response objects and returns promises or observables for streams.
npm install grpc-mod
Consider the following .proto
file
syntax = "proto3";
package test;
message GetRequest {}
message GetOneRequest {
string id = 1;
}
message GetPageRequest {
int32 from = 1;
int32 count = 2;
}
message SaveTodoRequest {
string label = 1;
}
message TodoResponse {
string id = 1;
string label = 2;
int64 created = 3;
int64 completed = 4;
}
message TodoListResponse {
repeated TodoResponse todos = 1;
}
service TestService {
rpc getTodo (GetOneRequest) returns (TodoResponse) {}
rpc getAllTodos (GetRequest) returns (stream TodoResponse) {}
rpc saveTodos (stream SaveTodoRequest) returns (TodoListResponse) {}
rpc getTodoPages (stream GetPageRequest) returns (stream TodoListResponse) {}
}
There are two ways to enhance the client
const client = new GRPCModClient(config)
mod(client)
new GRPCModClient(config: { protoPath, packageName, serviceName, serverAddress, credentials [, options] } [, options])
config: required - the configuration object containing information for instantiating the client. it takes the following props:
protoPath
: required - path to the .proto
filepackageName
: required - name of the packageserviceName
: required - name of the service we want to instantiate the client fromserverAddress
: required - address of the server we want our client to connect tocredentials
: required - credentials needed for connecting to the serveroptions
: optional - options to apply to channel creationoptions: optional - the GRPCMod client options
noDefaults
: boolean: Nullifies the default values added to the response object (default is false
) - examplenoNilProps
: boolean: Removes null
or undefined
values from the response object (default is false
) - exampleenforceNumber
: boolean: Turns all int64
types into numbers (default is false
) - examplemods
: function | [function] : one or a list of custom modsconst path = require('path')
const { credentials, } = require('grpc')
const { GRPCModClient, } = require('grpc-mod')
const PROTO_PATH = path.resolve(__dirname, '../pb/messages.proto')
const client = new GRPCModClient({
protoPath: PROTO_PATH,
packageName: 'test',
serviceName: 'TestService',
serverAddress: 'localhost:8080',
credentials: credentials.createInsecure(),
})
mod(client [, schema] [, options])
const path = require('path')
const { load, credentials, } = require('grpc')
const { mod, } = require('grpc-mod')
const PROTO_PATH = path.resolve(__dirname, '../pb/messages.proto')
const proto = load(PROTO_PATH).test
const client = new proto.TestService('localhost:8080', credentials.createInsecure())
mod(client)
The mod method is most useful when you only want to make use of promises and observables. If you want to write mods that need to know about the type of any of the properties, you would need a schema. GRPCModClient takes care of generating a schema for you, but if you really want to just use mod, for whatever reason, and still write mods that depend on a schema, you'd have to provide one yourself. You can either use protocol-buffers-schema or just write it yourself but it has to resemble the model that protocol-buffers-schema returns
NOTE: Some of the provided mods also depend on a schema and if you're using the mod method to enhance your client and activate one of those mods without providing a schema, the method will throw an error.
// Simple promise
let doc
client
.getTodo({ id: '5a54caf61bec98000f59dcbe' })
.then(response => {
doc = response
})
.catch(err => {
console.log(err)
})
// Async/await
let doc
try {
doc = await client.getTodo({ id: '5a54caf61bec98000f59dcbe' })
} catch (err) {
console.log(err)
}
// Using observables
const observable = client.getAllTodos({})
observable.subscribe({
next: (data) => console.log(data),
error: (err) => console.log(err),
complete: () => console.log('complete')
})
// Converting to Promise
const docs = await client.getAllTodos({}).toPromise()
// docs will be an array containing all the responses
const todosToAdd = [...]
const stream = client.saveTodos()
// the stream has a getPromise method which you can use to listen for the response
const promise = stream.getPromise()
for(const label in todosToAdd) {
sream.write({ label })
}
stream.end()
const docs = await promise // list of the added todos maybe?
const stream = client.getTodoPages()
// the stream has a getObservable method
const observable = stream.getObservable()
observable.subscribe({
next: data => renderTable(data.todos),
err: err => console.log(err)
})
function onPaginationSelect(from, count) {
stream.write({from, count })
}
You can manipulate the response by providing a configuration object as the second argument when creating or enhancing a client. You have access to a few mods provided by the library but you can always add your own. Keep in mind that when activating any of the provided mods, they will be executed before those you provide.
gRPC will add a default value for any of the props that are not present on the response object. In a client environment you might not expect a completed
prop on a todo object that is not completed, but gRPC will actually set it to 0
. Find out more about default values here.
The noDefaults
flag will turn all the default values to null. You can further remove these props completely with noNilProps
...
const client = new GRPCModClient({
protoPath: PROTO_PATH,
packageName: 'test',
serviceName: 'TestService',
serverAddress: 'localhost:8080',
credentials: credentials.createInsecure(),
}, {
noDefaults: true
})
const doc = await client.getTodo({id: '5a54caf61bec98000f59dcbe'})
// noDefaults: false =>
// {
// id: '5a54caf61bec98000f59dcbe',
// label: 'Do something',
// created: '1515862405277',
// completed: 0
// }
// noDefaults: true =>
// {
// id: '5a54caf61bec98000f59dcbe',
// label: 'Do something',
// created: '1515862405277',
// completed: null
// }
Following the noDefaults
example, we can add noNilProps: true
to our configuration to remove the null/undefined props completely.
...
const client = new GRPCModClient({
...
}, {
noDefaults: true,
noNilProps: true
})
const doc = await client.getTodo({id: '5a54caf61bec98000f59dcbe'})
// noDefaults: true, noNilProps: true =>
// {
// id: '5a54caf61bec98000f59dcbe',
// label: 'Do something',
// created: '1515862405277'
// }
NOTE: You need to first turn the defaults to null with
noDefaults
so they will get excluded bynoNilProps
*
You might have noticed in the previous examples that created
is a string. We asked for int64 and it should be a Long object but what we ultimately want is a number. Read about this design here
The enforceNumber
flag will turn all int64 values to numbers. There might be more "issues" like this, but this is the one I bumped into and I seriously have no idea about any other data-types not suported by JS.
...
const client = new GRPCModClient({
...
}, {
noDefaults: true,
noNilProps: true,
enforceNumber: true
})
const doc = await client.getTodo({id: '5a54caf61bec98000f59dcbe'})
// noDefaults: true, noNilProps: true =>
// {
// id: '5a54caf61bec98000f59dcbe',
// label: 'Do something',
// created: 1515862405277
// }
The configuration object accepts a 'mods' prop where you can specify one or a list of mods that you build.
...
const client = new GRPCModClient({
...
}, {
noDefaults: true,
noNilProps: true,
enforceNumber: true,
mods: myMod // or a list: [myMod2, myMod1]
})
Custom mods get applied from right to left. So, if myMod2
expects a response type returned by myMod1
, you'd have to list them in the right order [myMod2, myMod1]
. Also, any of the provided mods will run before yours.
Mods are simple functions that take 2 arguments: the response
object and a schema
object. The response
object is exactly what it says, the response you get from the server. The schema
object is not the entire schema generated from the .proto
file, but only the part relevant to the response and only the top level. E.g.:
function myMod(response, schema) {
console.log(reponse)
// {
// id: '5a54caf61bec98000f59dcbe',
// label: 'Do something',
// created: 1515862405277
// }
console.log(schema)
// { id:
// { name: 'id',
// type: 'string',
// tag: 1,
// map: null,
// oneof: null,
// required: false,
// repeated: false,
// options: {}, },
// label:
// { name: 'label',
// type: 'string',
// tag: 2,
// map: null,
// oneof: null,
// required: false,
// repeated: false,
// options: {}, },
// created:
// { name: 'created',
// type: 'int64',
// tag: 3,
// map: null,
// oneof: null,
// required: false,
// repeated: false,
// options: {}, },
// completed:
// { name: 'completed',
// type: 'int64',
// tag: 4,
// map: null,
// oneof: null,
// required: false,
// repeated: false,
// options: {},
// },
// }
}
The schema is generated from the .proto
file with protocol-buffers-schema and is only relevant to the top level of the response object, meaning that if you have property of a custom type, the schema of that type will not be available. This prevents the need of generating deeply nested schemas and eventual circular dependencies, like in the case of a User
type that has a field called friends
being a repeated User
type. Those friends would also be of type User
and also have friends of their own and so on.
Our saveTodos
method is a client-stream request ant it resolves with a TodoListResponse
. The TodoListResponse
is an object with a todos
property of type repeated TodoResponse
(an array of todos).
function myMod(response, schema) {
console.log(schema)
// { todos:
// { name: 'todos',
// type: 'TodoResponse',
// tag: 1,
// map: null,
// oneof: null,
// required: false,
// repeated: true,
// options: {},
// },
// }
}
If we want to modify all the todos in that list, we'd have to map
over data
. This is pretty trivial if we don't need to check the type of the todo's properties, but if we want to manipulate a value based on the type of that property, we'd need access to the TodoResponse
schema.
There is, however, a method to retrieve the schema of a property's type, getTypeSchema
. This method is part of the schema object of every type and we'll see how it works by exploring how you'd implement a mod similar to enforceNumber.
function enforceNumber(response, schema){
// response is { todos: [{...}, {...}, {...}] }
const todoSchema = schema['todos'].getTypeSchema()
const moddedList = response.todos.map(todo => {
// reduce the todo entries and create a new object
return Object.entries(todo).reduce((acc, [key, value]) => {
// if the current property is of type `int64` we parse it into a number
return {
...acc,
[key]: todoSchema[key].type === 'int64' ? parseInt(value) : value
}
}, {})
})
// Return the modified response object,
// or you can just return the list, but I recommend you stick with the contract
return { todos: moddedList }
}
NOTE: This is not how
enforceNumber
is written. The actual implementation recursively handles nested response objects and are partially applied with theschema
argument. You can read through the source if you're interested how it all works.
deepApplyMod(response [, schema], transformFn [, predicate])
This is a helper function, provided by 'grpc-mod' which you can use to apply mods to nested response objects.
Let's say that we want to transform created
and completed
props from unix to date strings.
function unixToDateString(response) {
return {
...response,
created: new Date(response.created).toString(),
completed: new Date(response.completed).toString()
}
}
And then we add this function to the mods. Easy, right? This is enough if we only ever get a TodoResponse
, but in the case of a TodoListResponse
, it won't get applied. Remember, TodoListResponse
looks like:
{ data: [TodoResponse, TodoResponse, TodoResponse, ...]}
so there will be no 'created' or 'completed' props. In fact, with the above mod, those would get added alongside data
.
We'll use deepApplyMod
to solve this issue, providing a transformation function and a predicate to only apply it to the created
and completed
keys.
The transformation function takes a single argument, and it's the value of the currently iterated property. The predicate is optional (default true
), and it's a function that takes 2 arguments, the key
and the value
of the property.
import { deepApplyMod } from 'grpc-mod'
// This is the transformation function that will get applied to the properties
const convertToDateString =(value) => new Date(value).toString()
// We want to also provide a predicate to apply that transformation only to the `created` and `completed` keys
const isDateProp = (key, value) => ['created', 'completed'].includes(key)
function unixToDateString(response, schema) {
return deepApplyMod(response, null, convertToDateString, isDateProp)
}
FAQs
GRPC Client that mods requests/response and more
We found that grpc-mod demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
MITRE's 2024 CWE Top 25 highlights critical software vulnerabilities like XSS, SQL Injection, and CSRF, reflecting shifts due to a refined ranking methodology.
Security News
In this segment of the Risky Business podcast, Feross Aboukhadijeh and Patrick Gray discuss the challenges of tracking malware discovered in open source softare.
Research
Security News
A threat actor's playbook for exploiting the npm ecosystem was exposed on the dark web, detailing how to build a blockchain-powered botnet.