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Robot Framework Automation with AI Integration (Beginner to Advanced)

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Course highlights

    • Training Mode: Online Zoom Session

    • Duration: 1 Month

    • Recorded sessions are available

    • Daily 1 hr sessions from Monday to Friday.

    • Instructor Name: Deepesh Yadav

Course Content

Module 1: Introduction to Robot Framework

    • Overview of Test Automation

    • Features and Advantages of Robot Framework

    • Installation and Setup (Python, PIP, Robot Framework, IDEs)

    • Directory Structure and Test Suite Organization

    • Writing the First Test Case

    • Executing Tests via Command Line and IDE


Module 2: Core Syntax and Test Structures

    • Test Cases, Keywords, and Variables

    • Settings, Variables, Test Cases, and Keywords Sections

    • Built-In Libraries Overview (String, Collections, DateTime, etc.)

    • Using Tags, Documentation, and Metadata

    • Logging and Reporting


Module 3: Working with SeleniumLibrary

    • Installing and Importing SeleniumLibrary

    • Browser Interaction (Open Browser, Click Element, Input Text, etc.)

    • Locators and XPath Strategies

    • Waits, Timeouts, and Synchronization

    • Handling Alerts, Windows, and Frames

    • Taking Screenshots and Validating UI Elements

    • Cross-Browser Testing


Module 4: API Automation with Robot Framework

    • Introduction to API Testing

    • Working with RequestsLibrary

    • GET, POST, PUT, DELETE Methods

    • Handling Authentication (Basic, Bearer Tokens)

    • Validating JSON/XML Responses

    • Schema Validation

    • Integrating with External Data (CSV, Excel, JSON)


Module 5: AI Integration

    • Overview of AI in Test Automation

    • Integration of ChatGPT, Copilot, and Cursor for Intelligent Test Generation

    • Using AI to Auto-Generate Test Cases and Keywords

    • AI-driven Code Suggestions in PyCharm and VS Code

    • Automating Test Documentation with AI

    • Integrating AI Chatbots with Robot Framework

    • Smart Error Analysis using AI Models


Module 6: GitHub and Version Control Integration

    • Git Basics and Repository Setup

    • Pushing and Pulling Robot Test Projects

    • Branching, Merging, and Conflict Resolution

    • Integrating GitHub Actions with Robot Framework

    • CI/CD Pipeline Overview


Module 7: PyCharm Integration

    • Installing and Configuring PyCharm for Robot Framework

    • Plugins and Run Configurations

    • Debugging Robot Tests in PyCharm

    • Code Completion and Keyword Assistance

    • Integrating AI Tools (Copilot, Cursor, ChatGPT in PyCharm)


Module 8: Data-Driven and Keyword-Driven Frameworks

    • Creating Reusable Custom Keywords

    • Working with Resource Files

    • Using Variables and Dynamic Test Data

    • Reading Data from Excel, CSV, JSON

    • Implementing Keyword-Driven Frameworks

    • Parameterized and Loop-Driven Test Cases


Module 9: Advanced Framework Design

    • Designing Scalable Automation Frameworks

    • Modular Test Architecture

    • Error Handling and Retry Logic

    • Parallel Test Execution (Pabot Integration)

    • Custom Library Development in Python

    • Integrating Database Testing

    • Working with API + UI Combined Tests


Module 10: CI/CD and Jenkins Integration

    • Jenkins Overview and Setup

    • Creating Jenkins Pipeline for Robot Tests

    • Running Tests from GitHub via Jenkins

    • Generating HTML Reports in Jenkins

    • Automated Notifications (Slack/Email Integration)

    • Using Docker Containers for Test Execution


Module 11: Reporting and Analytics

    • Default Robot Framework Reports and Logs

    • Generating Custom HTML Reports

    • Integrating with Allure Reports

    • Visualizing Test Metrics

    • AI-based Test Report Analysis


Module 12: Real-World Projects

    • End-to-End Web Application Automation

    • REST API + UI Automation Combined Framework

    • Continuous Integration Pipeline Project

    • AI-Assisted Automation Project using ChatGPT API


Module 13: Best Practices and Interview Preparation

    • Framework Design Best Practices

    • Common Interview Questions for Robot Framework and Python Automation

    • Industry Use Cases and Portfolio Building

    • Live Project to automate end-to-end Scenarios and Integration with CI/CD Pipeline.

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Data Type Conversion in Python

Datatype Conversion:

Below is a table that demonstrates the conversion of various Python data types into other data types. Each entry in the table includes the original data type, the target data type, a code snippet to perform the conversion, and an example output.

Integer(int) : Convert int Data Type to all other Data Type.

Data TypeTarget Data TypeCodeOutput


int

floatnum_int = 10  

num_float = float(num_int)
10.0


int

strnum_int = 42

num_str = str(num_int)
’42’


int

complexnum_int = 5  

num_complex = complex(num_int)
(5+0j)


int

listnum_int = 123  

num_list = list(num_int)
TypeError: ‘int’ object is not iterable  
Conversion is not possible


int

dictnum_int = 1  

num_dict = dict(num_int)
TypeError: ‘int’ object is not iterable
Conversion is not possible


int

tuplenum_int = 7  

num_tuple = tuple(num_int)
TypeError: ‘int’ object is not iterable
Conversion is not possible
intboolnum_int = 0
num_bool = bool(num_int)
print(num_bool)  

num_int1 = 123
num_bool1 = bool(num_int1)
print(num_bool1)
False


True


Float: Convert Float Data Type to all other Data Type.

Data Type Target Data Type Code Output
floatintnum_float = 10.5  

num_int = int(num_float)
10
float

str

num_float = 3.14  

num_str = str(num_float)
‘3.14’
float

complex

num_float = 3.0  
num_complex = complex(num_float,4.5)
(3+4.5j)
float
list

num_float = 3.14  
num_list = list(num_float)
TypeError: ‘int’ object is not iterable   Conversion is not possible
float
dict

num_float = 2.5  
num_dict = dict(num_float)
TypeError: ‘int’ object is not iterable   Conversion is not possible
floattuple
num_float = 1.5  
num_tuple = float(num_float)
TypeError: ‘int’ object is not iterable   Conversion is not possible
floatboolnum_int = 0
num_bool = bool(num_int)
print(num_bool)  

num_int1 = 12.3
num_bool1 = bool(num_int1)
print(num_bool1)
False


True

Complex : Convert complex data type to all other data type.

Data Type Target Data TypeCodeOutput
complexintnum_complex = complex(3, 4)
 
num_int = int(num_complex)

TypeError: int() argument must be a string, a bytes-like object or a real number, not ‘complex’   Conversion is not possible.
complexfloat
i).
num_complex = complex(3, 4)
num_float = float(num_complex)


ii).
num_complex = complex(3, 4)
num_float = float(num_complex.real)
i).TypeError: float() argument must be a string or a real number, not ‘complex’   Conversion is not possible.



ii).  3
complexstr

num_complex = complex(1, 2)<br>num_str = str(num_complex)

‘(1+2j)’
complexlist
num_complex = complex(2, 3)

num_list = [num_complex.real, num_complex.imag]
[2.0, 3.0]
complexdict
num_complex = complex(2, 1)  

num_dict = {‘real’: num_complex.real, ‘imag’: num_complex.imag}
{‘real’: 2.0, ‘imag’: 1.0}
complextuple
num_complex = complex(4, 5)

num_tuple = (num_complex.real, num_complex.imag)
(4.0, 5.0)
complexbool
num_complex = complex(0, 0)  

num_bool = bool(num_complex)
False

String(str) : Convert str data type to all other data type.

Data TypeTarget Data TypeCodeOutput

str
int
num_str = ‘987’  

num_int = int(num_str)
987

str
float
num_str = ‘2.71’  

num_float = float(num_str)
2.71

str
complex
num_str = ‘1+2j’  

num_complex = complex(num_str)
(1+2j)

str
list
str_val = ‘hello’  

list_val = list(str_val)
[‘h’, ‘e’, ‘l’, ‘l’, ‘o’]

str
dict
str_val = ‘hello’  

dict_val = {str_val: len(str_val)}
{‘hello’: 5}

str
tuple
str_val = ‘abc’  

tuple_val = tuple(str_val)
(‘a’, ‘b’, ‘c’)

str
bool
str_val = ‘True’  

bool_val = bool(str_val)
True

List(list) : Convert list data type to all other data type.

Data TypeTarget Data Type CodeOutput
listint
num_list = [1, 2, 3]  

num_int = int(”.join(map(str, num_list)))
123
listfloat
num_list = [3, 1, 4]  

num_float = float(”.join(map(str, num_list)))
314.0
liststr
num_list = [10, 20, 30]  

num_str = ‘, ‘.join(map(str, num_list))
’10, 20, 30′
listcomplex
num_list = [2, 3]  

num_complex = complex(num_list[0], num_list[1])
(2+3j)
listdict
num_list = [1, 2]  

num_dict = dict(zip(num_list, [‘one’, ‘two’]))
{1: ‘one’, 2: ‘two’}
listtuple
num_list = [7, 8, 9]  

num_tuple = tuple(num_list)
(7, 8, 9)
listbool
num_list = [0, 1, 0]  

num_bool = any(num_list)
True

Tuple(tuple) : Convert tuple data type to all other data type.

Data Type Target Data Type Code Output
tupleint
num_tuple = (4, 5, 6)  

num_int = int(”.join(map(str, num_tuple)))
456
tuplefloat
num_tuple = (1, 2)  

num_float = float(‘.’.join(map(str, num_tuple)))
1.2
tuplestr
num_tuple = (7, 8, 9)  

num_str = ‘, ‘.join(map(str, num_tuple))
‘7, 8, 9’
tuplecomplex
num_tuple = (3, 4)  

num_complex = complex(num_tuple[0], num_tuple[1])
(3+4j)
tuplelist
num_tuple = (10, 20)  

num_list = list(num_tuple)
[10, 20]
tupledict
num_tuple = (‘x’, 1)  

num_dict = dict([num_tuple])
{‘x’: 1}
tuplebool
num_tuple = (0, 0)  

num_bool = any(num_tuple)
False

Dictionary(dict) : Convert dict data type to all other data type.

Data Type Target Data Type Code Output
ictint
num_dict = {‘a’: 1}  

num_int = int(list(num_dict.keys())[0])
97
dictfloat
num_dict = {‘pi’: 3.14}  

num_float = float(list(num_dict.values())[0])
3.14
dictstr
num_dict = {1: ‘one’}  

num_str = str(list(num_dict.keys())[0])
‘1’
dictcomplex
num_dict = {3: 5}
 
num_complex = complex(list(num_dict.keys())[0], list(num_dict.values())[0])
(3+5j)
dictlist
num_dict = {‘a’: 1, ‘b’: 2}  

num_list = list(num_dict.items())
[(‘a’, 1), (‘b’, 2)]
dicttuple
num_dict = {‘x’: 10, ‘y’: 20}  

num_tuple = tuple(num_dict.items())
((‘x’, 10), (‘y’, 20))
dictbool
num_dict = {‘flag’: True}  

num_bool = bool(list(num_dict.values())[0])
True

Set : Convert set data type to all other data type.

Data Type Target Data Type CodeOutput
setint
num_set = {1, 2, 3}  

num_int = int(”.join(map(str, num_set)))
123
setfloat
num_set = {3, 1, 4}  

num_float = float(”.join(map(str, num_set)))
314.0
setstr
num_set = {10, 20, 30}  

num_str = ‘, ‘.join(map(str, num_set))
’10, 20, 30′
setcomplex
num_set = {2, 3}  

num_complex = complex(list(num_set)[0], list(num_set)[1])
(2+3j)
setlist
num_set = {1, 2, 3}  

num_list = list(num_set)
[1, 2, 3]
setdict
num_set = {1, 2, 3}  

num_dict = dict.fromkeys(num_set, ‘value’)
{1: ‘value’, 2: ‘value’, 3: ‘value’}
settuple
num_set = {7, 8, 9)  

num_tuple = tuple(num_set)
(8, 9, 7)
setbool
num_set = set()  

num_bool = bool(num_set)
False

Boolean(bool) : Convert bool data type to all other data type.

Data TypeTarget Data Type CodeOutput
boolint
num_bool = False  

num_int = int(num_bool)
0
boolfloat
num_bool = True  

num_float = float(num_bool)
1.0
boolstr
num_bool = True  

num_str = str(num_bool)
‘True
boolcomplex
num_bool = True  

num_complex = complex(int(num_bool), 0)
(1+0j)
boollist
num_bool = False  

num_list = [int(num_bool)]
[0]
booldict
num_bool = True  

num_dict = {str(num_bool): ‘boolean’}
{‘True’: ‘boolean’}
booltuple
num_bool = False  

num_tuple = (int(num_bool),)
(0,)

Keyboard Action in Python Selenium

Introduction to Keyboard Actions in Selenium

When automating web applications with Python Selenium, handling keyboard interactions is crucial for testing scenarios like filling forms, simulating keypresses, and navigating applications. Selenium provides robust functionalities to simulate user interactions with a keyboard using the ActionChains class and send_keys method.

Import Required Modules

from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.action_chains import ActionChains

Using send_keys to Simulate Typing

The send_keys method allows us to send keyboard inputs to elements like text fields.

Example: Entering Text in a Textbox

# Launch browser
driver = webdriver.Chrome()
driver.get("https://facebook.com")

# Locate the input field
input_field = driver.find_element("name", "username")

# Simulate typing
input_field.send_keys("TestUser")

Keyboard Shortcuts Using Keys Class

Selenium provides the Keys class to simulate keyboard shortcuts like CTRL+C, CTRL+V, ENTER, and more.

Example: Pressing ENTER Key

input_field.send_keys(Keys.ENTER)

Example: Copy-Paste Using Keyboard Shortcuts

input_field.send_keys("Test")
input_field.send_keys(Keys.CONTROL, 'a')  # Select all
input_field.send_keys(Keys.CONTROL, 'c')  # Copy
input_field.send_keys(Keys.TAB)  # Move to next field
input_field.send_keys(Keys.CONTROL, 'v')  # Paste

Using ActionChains for Complex Keyboard Actions

ActionChains helps perform multiple actions, including pressing and releasing keys.

Example: Using ActionChains for Keyboard Events

# Create ActionChains instance
actions = ActionChains(driver)

# Locate element
element = driver.find_element("id", "search")

# Perform actions
actions.click(element)
actions.send_keys("Selenium Automation")
actions.send_keys(Keys.RETURN)
actions.perform()

Handling Special Keys

Some keys like BACKSPACE, DELETE, ESC, F1-F12, SHIFT, ALT, CONTROL are essential in automation.

Example: Using Special Keys

input_field.send_keys(Keys.BACKSPACE)  # Deletes last character
input_field.send_keys(Keys.ESCAPE)  # Simulates ESC key

Pressing and Holding Keys

Pressing and holding keys like SHIFT allows us to capitalize text or perform shortcuts.

Example: Holding SHIFT Key

actions.key_down(Keys.SHIFT).send_keys("selenium").key_up(Keys.SHIFT).perform()

Using send_keys_to_element Method

Instead of sending keys directly, send_keys_to_element allows targeted input.

Example: Sending Keys to Specific Element

from selenium.webdriver.common.actions.action_builder import ActionBuilder

action = ActionBuilder(driver)
action.send_keys_to_element(input_field, "Automated Text").perform()

Automating Login Forms Using Keyboard Actions

Example: Automating Login with Keyboard Inputs

driver.get("https://facebook.com/login")

# Locate fields
username = driver.find_element("name", "username")
password = driver.find_element("name", "password")

# Type credentials
username.send_keys("testuser")
password.send_keys("securepassword")
password.send_keys(Keys.RETURN) # Press Enter

Handling Alerts and Popups Using Keyboard Keys

Example: Closing an Alert Using ESC

alert = driver.switch_to.alert
actions.send_keys(Keys.ESCAPE).perform()

Chrome Options in Python Selenium

Introduction to Chrome Options in Selenium

Chrome options in Python Selenium play a crucial role in configuring and customizing the Chrome browser for automation tasks. By utilizing ChromeOptions, testers and developers can enhance their browser automation scripts by enabling or disabling certain features, managing extensions, controlling headless browsing, and much more.

Setting Up ChromeOptions in Selenium

To begin using ChromeOptions, we must import the required modules and instantiate the WebDriver with custom options. Below is a basic implementation:

from selenium import webdriver
from selenium.webdriver.chrome.options import Options

# Instantiate ChromeOptions
chrome_options = Options()

# Initialize WebDriver with options
driver = webdriver.Chrome(options=chrome_options)

This code initializes the Chrome browser with default settings. However, we can add multiple options to configure the browser according to our needs.

Commonly Used ChromeOptions in Selenium

1. Running Chrome in Headless Mode

Headless mode runs Chrome without a visible UI, making tests faster and more efficient:

chrome_options.add_argument("--headless")
driver = webdriver.Chrome(options=chrome_options)

This is particularly useful for continuous integration (CI) pipelines where a graphical interface is unnecessary.

2. Disabling Browser Notifications

To prevent pop-up notifications from interrupting automation tests:

chrome_options.add_argument("--disable-notifications")

3. Running Selenium in Incognito Mode

To launch Chrome in incognito mode for testing privacy-related functionalities:

chrome_options.add_argument("--incognito")

4. Disabling GPU Acceleration

In some cases, GPU acceleration may cause issues. We can disable it as follows:

chrome_options.add_argument("--disable-gpu")

5. Maximizing the Browser Window

To start Chrome with a maximized window:

chrome_options.add_argument("--start-maximized")

6. Running Chrome with a Custom User-Agent

To simulate different browsers and devices, we can set a custom User-Agent:

user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36"
chrome_options.add_argument(f"--user-agent={user_agent}")

7. Using a Specific Proxy

To route browser traffic through a proxy:

proxy = "http://your.proxy.server:port"
chrome_options.add_argument(f"--proxy-server={proxy}")

8. Disabling Extensions

To launch Chrome without loading any installed extensions:

chrome_options.add_argument("--disable-extensions")

Advanced ChromeOptions Configurations

1. Adding Experimental Options

Chrome provides experimental options that can be enabled via ChromeOptions:

prefs = {"profile.default_content_setting_values.cookies": 2}  # Block cookies
chrome_options.add_experimental_option("prefs", prefs)

2. Using Prefers Reduced Motion Setting

To disable animations for improved performance:

chrome_options.add_experimental_option("prefs", {"profile.managed_default_content_settings.images": 2})

3. Specifying the Chrome Binary Path

If Chrome is installed in a non-standard location:

chrome_options.binary_location = "/path/to/chrome"

4. Capturing Browser Console Logs

For debugging JavaScript errors, we can enable logging:

from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
capabilities = DesiredCapabilities.CHROME.copy()
capabilities["goog:loggingPrefs"] = {"browser": "ALL"}
driver = webdriver.Chrome(desired_capabilities=capabilities, options=chrome_options)

Integrating ChromeOptions with Selenium WebDriver

Here’s a complete example demonstrating multiple ChromeOptions:
from selenium import webdriver
from selenium.webdriver.chrome.options import Options

chrome_options = Options()
chrome_options.add_argument("--headless")
chrome_options.add_argument("--disable-gpu")
chrome_options.add_argument("--window-size=1920x1080")
chrome_options.add_argument("--disable-notifications")
chrome_options.add_argument("--no-sandbox")

# Initialize WebDriver
driver = webdriver.Chrome(options=chrome_options)
driver.get("https://www.facebook.com")

print(driver.title)
driver.quit()

Headless Mode Execution in Python Selenium

Introduction to Headless Mode in Selenium

While Selenium can execute scripts with a visible browser window, headless execution allows tests to run in the background, significantly improving performance and efficiency.

Headless mode is particularly useful for environments where GUI is not required, such as server-side automation, continuous integration (CI/CD) pipelines, and web scraping. This article provides a comprehensive guide on how to execute Selenium scripts in headless mode using Python.

Why Use Headless Mode in Selenium?

There are several benefits to using headless mode in Selenium:

  • Increased Performance: Without rendering a UI, execution is faster and consumes fewer system resources.
  • Automation in Non-GUI Environments: Essential for running tests on headless servers.
  • Enhanced Stability in CI/CD Pipelines: Minimizes issues related to UI rendering.
  • Faster Web Scraping: Extracts data from websites efficiently without opening a visible browser window.

Setting Up Selenium for Headless Execution

Before running Selenium in headless mode, ensure you have the following installed:

Headless Mode Execution with Chrome

Google Chrome supports headless execution natively. Below is how you can configure Selenium with Chrome in headless mode:

from selenium import webdriver
from selenium.webdriver.chrome.options import Options

# Set up Chrome options
chrome_options = Options()
chrome_options.add_argument("--headless") # Enable headless mode
chrome_options.add_argument("--disable-gpu") # Recommended for Windows OS
chrome_options.add_argument("--window-size=1920x1080") # Set window size

driver = webdriver.Chrome(options=chrome_options)

# Open a website
driver.get("https://www.facebook.com")
print(driver.title)

# Close the browser
driver.quit()

Headless Mode Execution with Firefox (GeckoDriver)

For Mozilla Firefox, you need to set the headless argument:

from selenium import webdriver
from selenium.webdriver.firefox.options import Options

# Set up Firefox options
firefox_options = Options()
firefox_options.add_argument("--headless")

driver = webdriver.Firefox(options=firefox_options)

# Open a website
driver.get("https://www.facebook.com")
print(driver.title)

# Close the browser
driver.quit()

Running Selenium in Headless Mode with Different Browsers

Apart from Chrome and Firefox, Selenium also supports headless execution with other browsers like Edge and Opera. Here’s how you can configure them:

Microsoft Edge (Chromium-based)

from selenium import webdriver
from selenium.webdriver.edge.options import Options

edge_options = Options()
edge_options.add_argument("--headless")
driver = webdriver.Edge(options=edge_options)

# Open a website
driver.get("https://www.facebook.com")
print(driver.title)

# Close the browser
driver.quit()

Taking Screenshots in Headless Mode

Even though the browser is running in headless mode, you can still capture screenshots:

Best Practices for Running Selenium in Headless Mode

  • Always set a window size: Some elements may not load correctly without a defined viewport.
  • Use explicit waits: JavaScript-heavy pages require WebDriverWait.
  • Handle exceptions: Use try-except to manage errors efficiently.
  • Use logging: Monitor script behavior with logging.
  • Update drivers: Ensure compatibility with the latest browser versions.