Index operator []

This article shows usage of [] operator for arrays and collections. In Javonet, every array or collection from called technology is treated as a reference.

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.

With Javonet you can interact with arrays from Python package like they were available in Ruby but invocation must be performed through Javonet SDK API.

Custom Python package with arrays handling

With Javonet it is possible to reference any custom Python package and interact with arrays declared on types defined within that module almost the same as with any other Ruby library.

Snippet below represents the sample code from Python package that has methods which return or process the arrays:

def get_1d_array(self):
	return ["one", "two", "three", "four", "five"]

def get_2d_array(self):
	return [["S00", "S01"], ["S10","S11"]]

def add_array_elements_and_multiply(self, my_array, my_value):
	return sum(my_array) * my_value

Each array or collection from Python package returns as InvocationContext which contains reference to the target data. Javonet SDK implements [] operator on InvocationContext to interact with complex data objects in Ruby:

Get element from Python package in Ruby

# use activate only once in your app
Javonet.activate('your-license-key')

# create called runtime context
called_runtime = Javonet.in_memory.python

# set up variables
library_path = resources_directory
class_name = 'TestClass.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(0, 1).execute

# invoke instance's method
array = instance.invoke_instance_method('get_1d_array').execute

# invoke method on array's element
response = array[2].invoke_instance_method('upper').execute

# get value from response
result = response.get_value

# write result to console
puts result

In the snippet above, get1DArray method is used to get reference to 1D array from Python package. Operator [] is used to get element from the array.

Set element from Python package in Ruby

# use activate only once in your app
Javonet.activate('your-license-key')

# create called runtime context
called_runtime = Javonet.in_memory.python

# set up variables
library_path = resources_directory
class_name = 'TestClass.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(0, 1).execute

# invoke instance's method
array = instance.invoke_instance_method('get_1d_array').execute

# set array's element
array[2] = 'seven'

# invoke method on array's element
response = array[2].invoke_instance_method('upper').execute

# get value from response
result = response.get_value

# write result to console
puts result

In the snippet above, get1DArray method is used to get reference to 1D array from Python package. Operator [] is used to set element of the 1D array.

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 Python 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.