Importing Objects from Python Scripts

Python allows classes, objects, and functions to be imported from one module into another with the “import” statement, similarly to how other programming languages make use of external libraries.

The fundamental unit of organization of Python code is the module. A module can contain multiple classes and functions, so importing a module can differ somewhat from Java, where classes are the primary unit of organization which are imported into different file. Another property of Python imports is that they are loaded and imported dynamically at compile time, a significant difference from a compiled language.

Although Iotellect offers the flexibility to interact with the platform via scripting, please note that the recommended way of utilizing the platform is through the use of standard Iotellect plugins, drivers, and low code development tools.

Create the following script which will contain a function to be exported. Open the context menu for the Scripts context and click Create. In the Script Properties menu, enter the following values and click OK.

def get_string():
  return "Hello World"

Check the scripts/python/ director in your Iotellect installation to find the script. It should have been created as utils_PyScript.

The key detail when importing a Python script into another Python script via the Iotellect Scripts context, the module name will be the Iotellect name of the script concatenated with the string _PyScript.

The previous script is named utils, which created a file utils_PyScript on the server. In order to import the module, the import statement must reference utils_PyScript.

# Import pandas for working with the DataFrame class
import pandas

# Import the get_string function from the utils script
from utils_PyScript import get_string

# This DataFrame will contain any input to the script. In this example it's unused
dataSetDataFrameInput # Input Argument (pandas.DataFrame)

#Structure a DataFrame with the value from the imported function
innerStrList = list()
innerStrList.append(get_string())
pythonList = list()
pythonList.append(1)
pythonList.append(innerStrList)

# Set the python nested list to a DataFrame
df = pandas.DataFrame(pythonList)

# Output the list
dataSetDataFrameOutput = df # Output Argument (pandas.DataFrame)

Open the context menu of the Test Import script and click Execute, or simply click on the script in system tree. The Script Execution Result should display the following table:

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