Revolutionize Web Automation: Unleashing the Power of Dynamic Method Generation from Excel Data

In web automation, it is often necessary to interact with various fields on a webpage, such as textboxes, dropdowns, and buttons. Manually creating methods for each field can be time-consuming and repetitive. In this blog post, we will explore how to dynamically generate methods based on Excel data, allowing for efficient and scalable web automation scripts.requisites

Before we begin, ensure you have the following:

Python installed on your system
openpyxl library installed (pip install openpyxl)
re library installed (pip install re)
Visual Studio Code (VS Code) or any other preferred code editor

The Approach

Our approach involves reading field information from an Excel file and generating methods accordingly. The OpenPyXl library allows us to work with Excel files, while Python provides the flexibility to dynamically create methods. Let’s dive into the code!

Step-by-Step Description:

Import the necessary modules:
- ‘re‘ module for working with regular expressions.
- ‘openpyxl‘ module for interacting with Excel files.
- ‘os' module for handling file and directory operations.
Retrieve the current directory using os.getcwd() and print it to confirm the location.
Construct the file path for the Excel file:
- Combine the current directory and the filename using os.path.join().
Load the Excel file:
- Use openpyxl.load_workbook() to load the Excel file and assign it to the workbook variable.
Select the worksheet:
- Identify and select the desired worksheet from the loaded workbook using workbook["worksheet_name"].
Determine the size of the worksheet:
- Retrieve the last row and last column of the worksheet using worksheet.max_row and worksheet.max_column.
Iterate over each row in the worksheet:
- Use a loop to iterate over the rows, starting from the second row (excluding the header row).
Extract relevant data from each row:
- Retrieve the field name, field variable, and field type from the respective cells in the current row.
Generate the method name:
- Prepend “Set_” to the field name to create a method name that reflects the purpose of the method.
Define method templates:
- Define method templates for different field types, such as text boxes, dropdowns, or buttons.
- Each template is a multi-line string that includes placeholders for the method name, field name, and field variable.
Generate method code:
- Based on the field type, select the appropriate method template.
- Substitute the placeholders in the method template with the corresponding values using the format() method.
- The generated code represents a method that interacts with the web element associated with the field.
Print the generated method code:
- Output the generated method code to the console or write it to a file for further use.

import re
import openpyxl
import os


# Get the current directory
current_directory = os.getcwd()

# Construct the file path for method.xlsx in the current directory
file_path = os.path.join(current_directory, "method.xlsx")


# Load the Excel file
workbook = openpyxl.load_workbook(file_path)

# Select the desired worksheet
worksheet = workbook["method"]

last_row = worksheet.max_row
last_column = worksheet.max_column


# Method generation for each field name
for row in worksheet.iter_rows(min_row=2, max_row=last_row):
    field_name = row[0].value
    field_variable = row[1].value
    field_type = row[2].value

    print(field_name)
    print(field_variable)
    print(field_type)

    method_name = "Set_" + field_name
    method_template = """"""
    if field_type.strip().lower() == "textbox":
        method_template = """
        public void {method_name}(String {field_name}) throws IOException {{
            waithelper.WaitForElement(Prop.LoadProperties("Credit_Management", "{field_name}"), 30);
            WebElement {field_variable}= driver.findElement(By.name(Prop.LoadProperties("Credit_Management"{field_name}")));
            {field_variable}.clear();
            {field_variable}.sendKeys({field_name});
        }}
        """
    elif field_type.strip().lower() == "dropdown":
        method_template = """
        public void {method_name}(String {field_name}) throws IOException {{
            waithelper.WaitForElement(Prop.LoadProperties("Credit_Management", "{field_name}"), 30);
            WebElement {field_variable}= driver.findElement(By.name(Prop.LoadProperties("Credit_Management", "{field_name}")));
            Select s = new Select({field_variable});
            if(isNumberic.isNumber({field_name})){{
                s.selectByIndex(Integer.parseInt({field_name}));
            }}else{{
                s.selectByVisibleText({field_name});
            }}
        }}
        """
    else:
        method_template = """
        public void {method_name}() throws IOException {{
            waithelper.WaitForElement(Prop.LoadProperties("Credit_Management", "{field_name}"), 30);
            WebElement {field_variable}= driver.findElement(By.name(Prop.LoadProperties("Credit_Management", "{field_name}")));
            {field_variable}.click();
        }}
        """

    method_code = method_template.format(method_name=method_name, field_name=field_name, field_variable=field_variable)

    print(method_code)

# Closing the workbook
workbook.close()

Conclusion:

By leveraging the power of Excel data and dynamic method generation, we can simplify the process of web automation. The approach described in this blog post allows for flexible and efficient creation of methods tailored to specific web elements. With this technique, developers can easily adapt their automation scripts to various scenarios, improving productivity and reducing maintenance efforts.

Note: The provided code assumes the existence of additional variables and classes (waithelper, Prop, isNumberic, etc.) that are not defined in the code snippet. Ensure that these variables and classes are defined or adapted according to your specific implementation.

To download, unzip, and drag and drop the project inside VS Code, follow the steps below:

Download the Project:
- Access the download link provided: Pattern.zip.
- Click on the link to initiate the download.
- Save the zip file to your desired location on your computer.
Unzip the Project:
- Locate the downloaded zip file on your computer.
- Right-click on the zip file.
- Choose the “Extract” or “Extract Here” option to unzip the contents.
- A new folder will be created with the extracted files.
Open VS Code:
- Launch Visual Studio Code on your computer.
Drag and Drop the Project:
- Open the folder where you extracted the project files.
- In VS Code, drag the entire project folder and drop it onto the VS Code window.
- VS Code will automatically load the project and display its contents in the Explorer panel.

By following these steps, you can download the project, unzip it, and easily open it in VS Code for further development or exploration.

Please note that the provided instructions are for informational purposes and may vary depending on your specific operating system and software configurations

The Approach

Leave a Comment Cancel Reply