What is Flaky test? Steps to resolve Test Flakiness

A flaky test 

• An automated test in a software testing environment that may produce inconsistent results, sometimes passing and sometimes failing, even when applied to the same version of the software under the same conditions. 

• Flaky tests are problematic because they undermine the reliability and effectiveness of automated testing.

Factors contribute to test flakiness

• Timing Issues

• Concurrency and Parallelism

• Environment Dependencies

• Order of Test Execution

• Synchronization Issues

• Data Setup and Cleanup

Steps to implement effective solutions

Isolate the Flaky Test	Helps to identify, if the issue is specific to the test or if it's influenced by other tests or external factors
Check for Environment Issues	Ensure there are no network issues, server problems, or other external dependencies affecting test execution
Review Test Dependencies	result from inconsistent or unreliable dependencies, such as data setup, configurations, or external services Test environment is properly set up before test execution.
Randomize Test Execution Order	Run the entire test suite with a randomized execution order If the flakiness disappears or changes, it might indicate dependencies between tests or order-specific issues.
Increase Wait Times and Retries	Increasing wait times or adding retries may stabilize the test execution
Logging and Debugging	Introduce detailed logging and debugging mechanisms in the test scripts  Capture information about the test environment, steps executed, & any error messages Analyze the logs to identify patterns or inconsistencies.
Parallel Execution Issues	Check if there are any shared resources or conflicts causing problems. Adjust the parallel execution strategy to minimize contention.
Review Application Code and Test Code	Examine both the application code and the test code, Look for race conditions, concurrency problems, or synchronization issues
Update Dependencies	Can be resolved by updating libraries, frameworks, and tools to newer versions that address known issues
Collaborate with Development Teams	Work closely with the development teams to get insights into recent changes & To identify potential issues in the application code

Retrieve data from a JSON file

To retrieve data from a JSON file using Java and Selenium, you can use a library like Gson or Jackson for handling JSON parsing.

{

  "username": "Tester1",

  "password": "Test1234",

  "url": "https://demoqa.com/"

}

package com.seleniumExamples2024;

import java.io.FileReader;
import java.io.Reader;
import com.google.gson.Gson;
import com.google.gson.JsonObject;

public class RetrievDataFromJson {
	public static void main(String[] args) {
		try {
 // Specify the path to your JSON file
            String jsonFilePath = ".//Userdata.json";
 // Create a FileReader to read the JSON file
            Reader reader = new FileReader(jsonFilePath);
  // Use Gson to parse the JSON content
            Gson gson = new Gson();
 JsonObject jsonObject = gson.fromJson(reader, JsonObject.class);
    // Retrieve data from the JsonObject
            String username = jsonObject.get("username").getAsString();
            String password = jsonObject.get("password").getAsString();
            String url = jsonObject.get("url").getAsString();
   // Print the retrieved data
            System.out.println("Username: " + username);
            System.out.println("Password: " + password);
            System.out.println("URL: " + url);
    // Close the reader
            reader.close();
        } catch (Exception e) {
            e.printStackTrace();
        }
	}

Use Python

import json

# Specify the path to your JSON file
json_file_path = "./Tester.json"

# Read the JSON file
with open(json_file_path, 'r') as file:
    # Load the JSON content
    data = json.load(file)

# Access and print specific values from the loaded data
print("Name:", data["name"])
print("Age:", data["age"])
print("City:", data["city"])
print("Is Student:", data["isStudent"])
print("Skills:", data["skills"])

JSON file Example

{
 "employees": {
  "employee": [{
  "name": "John Doe",
  "age": 20,
  "city": "New York",
  "isStudent": true,
  "skills": ["Java", "C#", "Python", "JavaScript"]
},
{
  "name": "John Smith",
  "age": 30,
  "city": "Raleigh",
  "isStudent": false,
  "skills": ["Java", "Python", "JavaScript", "Ruby"]
},
{
  "name": "Kattie josh",
  "age": 23,
  "city": "Ellicott city",
  "isStudent": true,
  "skills": ["Java", "Python", "JavaScript"]
}
 ]
 }
}

package com.seleniumExamples2024;

import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Paths;
import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;

public class EmployeeDataFromJson2 {

	public static void main(String[] args) {

		try {
    // Specify the path to your JSON file
			String jsonFilePath = "Employees.json";

	// Read the JSON file as a string
			String jsonContent = new String(Files.readAllBytes(Paths.get(jsonFilePath)));

    // Parse the JSON content using Jackson
	ObjectMapper objectMapper = new ObjectMapper();
	JsonNode rootNode = objectMapper.readTree(jsonContent);

    // Retrieve the "employees" JSON array
			JsonNode employeesArray = rootNode.get("employees").get("employee");

   // Iterate over each employee object
			for (JsonNode employee : employeesArray) {
				String name = employee.get("name").asText();
				int age = employee.get("age").asInt();
				String city = employee.get("city").asText();
				boolean isStudent = employee.get("isStudent").asBoolean();
				JsonNode skillsArray = employee.get("skills");

	// Print employee information
				System.out.println("\nName: " + name);
				System.out.println("Age: " + age);
				System.out.println("City: " + city);
				System.out.println("Is Student: " + isStudent);
				System.out.print("Skills: ");
				for (JsonNode skill : skillsArray) {
					System.out.print(skill.asText());
		if (skill != skillsArray.get(skillsArray.size() - 1)) {
						System.out.print(", ");
					}
				}
				System.out.println();
			}
		} catch (IOException e) {
			e.printStackTrace();
		}
	}
}

Python MySQL Database Operations Example with mysql.connector

import mysql.connector

try:
    # Establish a connection to the MySQL database
    con = mysql.connector.connect(host="localhost", port=3306, user="username", password="password", database="Education")

    # Create a cursor to execute SQL queries
    cursor = con.cursor()

    # Insert records into the "student" table
    cursor.execute("INSERT INTO student VALUES('Eliza', 104)")
    cursor.execute("INSERT INTO student VALUES('Kattie', 105)")
    cursor.execute("INSERT INTO student VALUES('Jack', 106)")

    # Execute a SELECT query to retrieve all records from the "student" table
    cursor.execute("SELECT * FROM student")

    # Print the results of the SELECT query
    for r in cursor:
        print(r[0], r[1])

    # Commit the changes to the database
    con.commit()

except mysql.connector.Error as e:
    print("Connection Unsuccessful:", e)

finally:
    # Close the cursor and connection in the finally block to ensure proper cleanup
    cursor.close()
    con.close()