Run Python code

You can write custom Python code to interact with components and queries. To do that, you need to create a new query and select Run Python code from the available data sources.

Using Python Code to Trigger Component Specific Actions

• Drag a Text component onto the canvas. We will set the text on the Text component using the Python query.
• Create a query and select Run Python code from the available data sources
• Paste the below code in the code editor and save the query:

class Person:
    def __init__(self, name, age):
        self.name = name
        self.age = age
        
    def myfunc(self):
        return "Hello my name is " + self.name

p1 = Person(tj_globals.currentUser.firstName, 36)

components.text1.setText(p1.myfunc())

• The above code has a function myfunc which returns a string and we are using a Component Specific Action to set the Text Component's value from the Python query.

tip

• As of now, Run Python code only supports the Python standard library.
• Check RunPy Limitations to go through the limitations with using Python code

Trigger Queries

To trigger queries in Python, you can use the below functions:

actions.runQuery('getSalesData')
#replace getSalesData with your query name

queries.getSalesData.run()
#replace getSalesData with your query name

Get Query Data

To immediately access the data returned by a query in Run Python code, you can use the below functions:

Trigger a query and retrieve its data:

await queries.getSalesData.run()
#replace getSalesData with your query name

value = queries.getSalesData.getData()
#replace getSalesData with your query name

Trigger a query and retrieve its raw data:

await queries.getCustomerData.run()
#replace getCustomerData with your query name

value = queries.getCustomerData.getRawData()
#replace getCustomerData with your query name

Trigger a query and retrieve its loading state:

await queries.getTodos.run()
#replace getTodos with your query name

value = queries.getTodos.getLoadingState()
#replace getTodos with your query name

Get Variables

To immediately access a variable or page variable after setting it in the Run Python code, you can use the below functions:

Set and retrieve a variable:

actions.setVariable('mode','dark')
#replace mode with your desired variable name

actions.getVariable('mode')
#replace mode with your desired variable name

Set and retrieve a page-specific variable:

actions.setPageVariable('number',1)
#replace number with your desired variable name

actions.getPageVariable('number')
#replace number with your desired variable name

Using Transformations With Python

Run Python code can be used to transform the data that is fetched in the queries. To test transformations using Python, create a new REST API query, leave the method as GET and enter the below url under the URL property.

https://dummyjson.com/products

Click on the Run button and check the preview of the returned data, below is the data structure of the response:

products_data = {
    "products": [
        {"title": "iPhone 9", ...},
        {"title": "iPhone X", ...},
        # Additional products...
    ]
}

Filter the titles from the response

To extract a list of product titles from the given data structure, we iterate through the products list and collect each product's title using the below code. Enable Transformations in the Query Editor and use the below code:

return [product["title"] for product in data["products"]]

Filtering Products by Category

To filter products by a specific category, such as "smartphones", and extract their titles. Enable Transformations in the Query Editor and use the below code:

return [product["title"] for product in data["products"] if product["category"] == "smartphones"]

Calculating Average Price of a Category

To calculate the average price of products within the "laptops" category. Enable Transformations in the Query Editor and use the below code:

return sum(product["price"] for product in data["products"] if product["category"] == "laptops") / len([product for product in data["products"] if product["category"] == "laptops"]) if len([product for product in data["products"] if product["category"] == "laptops"]) > 0 else 0

info

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