Passing array from Python as method argument to NodeJs package
This article shows how to pass array as an argument.
Javonet allows you to reference and use modules or packages written in (Java/Kotlin/Groovy/Clojure, C#/VB.NET, Ruby, Perl, Python, JavaScript/TypeScript) like they were created in your technology. If have not yet created your first project check Javonet overview and quick start guides for your technology.
Custom NodeJs package with method accepting array
With Javonet it is possible to reference any custom NodeJs package and interact with arrays declared on types defined within that module almost the same as with any other Python library.
Snippet below represents the sample code from NodeJs package that has methods which return or process the arrays:
get1DArray() {
return ["one", "two", "three", "four", "five"]
}
get2DArray() {
return [["S00", "S01"], ["S10", "S11"]]
}
addArrayElementsAndMultiply(myArray, myValue) {
return myArray.reduce((accumulator, currentValue) => accumulator + currentValue) * myValue
}
With Javonet SDK it is possible to pass array as an argument to one of this method.
Passing Python array
# use activate only once in your app
Javonet.activate("your-license-key")
# create called runtime context
called_runtime = Javonet.in_memory().nodejs()
# set up variables
library_path = resources_directory + '/TestClass.js'
class_name = 'TestClass'
# load custom library
called_runtime.load_library(library_path)
# get type from the runtime
called_runtime_type = called_runtime.get_type(class_name).execute()
# create type's instance
instance = called_runtime_type.create_instance().execute()
# invoke instance's method
response = instance.invoke_instance_method("addArrayElementsAndMultiply",
[12.22, 98.22, -10.44],
9.99).execute()
# get value from response
result = response.get_value()
# write result to console
print(result)
In the snippet above, addArrayElementsAndMultiply method needs array to be the first argument. Depending on called technology, the array may need to have a specific type, f. e. array of doubles. In this case, proper cast is needed before passing the array from Python.
The same operation can be performed remotely by just changing the new Runtime Context invocation from in memory to tcp that will create and interact with your NodeJs package objects on any remote node, container or service that hosts Javonet Code Gateway. This way you can preserve the same logic in your application and instantly switch between monolithic and microservices architecture without the need to implement the integration layer based on web services or other remote invocation methods.
Read more about use cases and software architecture scenarios where Javonet runtime bridging technology can support your development process.
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