MuleSoft Meetup Roma - Processi di Automazione su CloudHubAlfonso Martino
The document summarizes an event held by the Rome MuleSoft Meetup Group to discuss automation of processes on CloudHub using MuleSoft's Anypoint Platform. The agenda included presentations on using infrastructure as code to automate CloudHub setup, managing API proxies, and a Q&A session. A tool called the CloudHub Automation Tool was demonstrated, which uses Terraform and other open source tools to automate CloudHub configuration and setup of environments, users, and other resources through code. The document also provided information on migrating APIs from a legacy system to the Anypoint Platform at scale.
Introducing Playwright's New Test RunnerApplitools
Playwright Test is a new test runner built from scratch by the Playwright team specifically to accommodate end-to-end testing needs. Join Principal Engineer, Andrey Lushinkov as he demonstrates how to use Playwright Test to author new tests, how to migrate existing tests, how to deploy them on CI, and debug them if something goes wrong.
PyCon AU 2012 - Debugging Live Python Web ApplicationsGraham Dumpleton
Monitoring tools record the result of what happened to your web application when a problem arises, but for some classes of problems, monitoring systems are only a starting point. Sometimes it is necessary to take more intrusive steps to plan for the unexpected by embedding mechanisms that will allow you to interact with a live deployed web application and extract even more detailed information.
Getting Started with Playwright: A Beginner-Friendly Introduction & Setup GuideShubham Joshi
This is perfect for those new to Playwright. It introduces the powerful open-source automation tool developed by Microsoft, highlighting its cross-browser capabilities and robust support for modern web app testing. The guide also walks users through installing Playwright step-by-step on various platforms, ensuring a smooth start for any tester or developer
API First Workflow: How could we have better API Docs through DevOps pipelinePronovix
API Documentation plays an important role in improving the customer’s experience with APIs, which is always a struggle for most of the company. The way to accomplish this is to transition API development culture from “Code First” to “Design First”, here in SAS we call it “API First”. For better API designing and documentation, we have built an API First CI/CD workflow which brings many open-sourced API tools together and involves developers, product managers, documentation writers, and testers to synchronously work together to develop APIs in a “Design First” approach, the industry standard.
In the talk, we will discuss how the API-first Workflow could enable better collaboration between teams which could help in many aspects especially writing the openAPI documentation, keeping it up to date and sync with your code. We will take a deep look at one example, the Linting tool from API First workflow, which helps to make sure the API documentation follows the company standard from the start. With openSource linting tools like Spectral, it’s easy for teams to define their own linting rules which includes company standards. When your API specifications go through the linter in the CI/CD pipeline, the linter will throw errors and warnings as you write your spec. This will help ensure your specification is following proper guidelines and that’s all automatic.
Leveraging Playwright for API Testing.pdfSteve Wortham
API helps to build the core of any application in the modern software architecture. They facilitate communication between different systems and services over the network. Due to their utmost importance, it becomes very important to ensure that they work as expected and efficiently handle the different scenarios without breaking.
This document provides tips for bug bounty hunting. It discusses bug bounty platforms, reconnaissance techniques like subdomain enumeration and fuzzing, testing for hidden parameters, response manipulation, and automating tasks. Tips include using a VPS, saving BurpSuite files, checking JavaScript files for API calls, and searching online for similar reports and proof of concepts. References are provided for additional learning resources.
How to Improve the Observability of Apache Cassandra and Kafka applications...Paul Brebner
As distributed cloud applications grow more complex, dynamic, and massively scalable, “observability” becomes more critical.
Observability is the practice of using metrics, monitoring and distributed tracing to understand how a system works.
We’ll explore two complementary Open Source technologies:
Prometheus for monitoring application metrics, and
OpenTracing and Jaeger for distributed tracing.
We’ll discover how they improve the observability of
an Anomaly Detection application, deployed on AWS Kubernetes, and using Instaclustr managed Apache Cassandra and Kafka clusters.
Streamlining End-to-End Testing Automation with Azure DevOps Build & Release Pipelines
Automating end-to-end (e2e) test for Android and iOS native apps, and web apps, within Azure build and release pipelines, poses several challenges. This session dives into the key challenges and the repeatable solutions implemented across multiple teams at a leading Indian telecom disruptor, renowned for its affordable 4G/5G services, digital platforms, and broadband connectivity.
Challenge #1. Ensuring Test Environment Consistency: Establishing a standardized test execution environment across hundreds of Azure DevOps agents is crucial for achieving dependable testing results. This uniformity must seamlessly span from Build pipelines to various stages of the Release pipeline.
Challenge #2. Coordinated Test Execution Across Environments: Executing distinct subsets of tests using the same automation framework across diverse environments, such as the build pipeline and specific stages of the Release Pipeline, demands flexible and cohesive approaches.
Challenge #3. Testing on Linux-based Azure DevOps Agents: Conducting tests, particularly for web and native apps, on Azure DevOps Linux agents lacking browser or device connectivity presents specific challenges in attaining thorough testing coverage.
This session delves into how these challenges were addressed through:
1. Automate the setup of essential dependencies to ensure a consistent testing environment.
2. Create standardized templates for executing API tests, API workflow tests, and end-to-end tests in the Build pipeline, streamlining the testing process.
3. Implement task groups in Release pipeline stages to facilitate the execution of tests, ensuring consistency and efficiency across deployment phases.
4. Deploy browsers within Docker containers for web application testing, enhancing portability and scalability of testing environments.
5. Leverage diverse device farms dedicated to Android, iOS, and browser testing to cover a wide range of platforms and devices.
6. Integrate AI technology, such as Applitools Visual AI and Ultrafast Grid, to automate test execution and validation, improving accuracy and efficiency.
7. Utilize AI/ML-powered central test automation reporting server through platforms like reportportal.io, providing consolidated and real-time insights into test performance and issues.
These solutions not only facilitate comprehensive testing across platforms but also promote the principles of shift-left testing, enabling early feedback, implementing quality gates, and ensuring repeatability. By adopting these techniques, teams can effectively automate and execute tests, accelerating software delivery while upholding high-quality standards across Android, iOS, and web applications.
A quick start guide to start working with Robot Framework.
End to End flow form installation to test case automation to verifying result, using both GUI and Command Prompt options.
How do you tame a big ball of mud? One test at a time.Matt Eland
A broad and high level overview of .NET unit test libraries that will help you write better tests. Discussions around Scientist .NET, Bogus, AutoFixture, Snapper, and others.
The document provides an overview of automation testing concepts using QuickTest Professional (QTP) 9.2. It discusses what automation testing is, its benefits, and the automation life cycle. It also covers topics like supported technologies, add-ins, recording and run modes, and the main QTP window. Sample script snippets demonstrate commonly used QTP functions.
The document discusses test automation concepts and introduces QuickTest Professional (QTP) 9.2. It covers the benefits of automation, the automation life cycle, supported technologies and browsers, the object repository, recording and run modes, options, and basic VBScript concepts used in QTP.
The document discusses test automation concepts and introduces QuickTest Professional (QTP) 9.2. It covers the benefits of automation, the automation life cycle, supported technologies, record and run modes, main tools and features in QTP, and key areas like script structure, parameterization, checkpoints, and exception handling.
ApacheCon2019 Talk: Improving the Observability of Cassandra, Kafka and Kuber...Paul Brebner
As distributed applications grow more complex, dynamic, and massively scalable, “observability” becomes more critical. Observability is the practice of using metrics, monitoring and distributed tracing to understand how a system works. In this presentation we’ll explore two complementary Open Source technologies: Prometheus for monitoring application metrics; and OpenTracing and Jaeger for distributed tracing. We’ll discover how they improve the observability of a massively scalable Anomaly Detection system - an application which is built around Apache Cassandra and Apache Kafka for the data layers, and dynamically deployed and scaled on Kubernetes, a container orchestration technology. We will give an overview of Prometheus and OpenTracing/Jaeger, explain how the application is instrumented, and describe how Prometheus and OpenTracing are deployed and configured in a production environment running Kubernetes, to dynamically monitor the application at scale. We conclude by exploring the benefits of monitoring and tracing technologies for understanding, debugging and tuning complex dynamic distributed systems built on Kafka, Cassandra and Kubernetes, and introduce a new use case to enable Cassandra Elastic Autoscaling, by combining Prometheus alerts, Instaclustr’s Provisioning API for Dynamic Resizing, and the new Prometheus monitoring API.
stackconf 2021 | Embracing change: Policy-as-code for Kubernetes with OPA and...NETWAYS
As more enterprises migrate to cloud native environments like Kubernetes the need for more scalable ways to define and enforce fine-grained policies increases: how can I limit the number of replicas of a pod for certain users? how can I ensure that all images come from trusted registries? Gatekeeper, a CNCF project, allows to define policy as Kubernetes objects, making it easier to adopt policy-as-code practices in Kubernetes environments and sharing reusable policy templates. In this talk we will demo Gatekeeper for Kubernetes environments. You will learn how to adopt policy-as-code techniques and how you can integrate Gatekeeper with your existing tools.
This document summarizes a workshop on quality of life through unit testing in Python 3. The workshop aims to:
1) Understand how unit testing can improve quality of life by ensuring quality code.
2) Practice unit testing in Python 3 by writing and running tests.
3) Integrate unit testing into the development workflow as part of continuous integration.
The document provides an introduction to unit testing concepts and best practices. It also demonstrates unit testing in Python 3 through examples and tricks for writing, importing, and automatically running tests. Finally, it discusses integrating unit testing into development and continuous integration workflows.
Creating a Smooth Development Workflow for High-Quality Modular Open-Source P...Pantheon
Greg Anderson's slide deck from BADCamp 2016.
Having a fine-tuned continuous integration environment is extremely valuable, even for small projects. Today, there is a wide variety of standalone projects and online Software-As-A-Service offerings that can super-streamline your everyday development tasks that can help you get your projects up and running like a pro. In this session, we'll look at how you can get the most out of:
- GitHub source code repository
- Packagist package manager for Composer
- Travis CI continuous integration service
- Coveralls code coverage service
- Scrutinizer static analysis service
- Box2 phar builder
- PhpDocumentor api documentation generator
- ReadTheDocs online documentation reader service
- Composer scripts and projects for running local tests and builds
The document discusses various techniques for testing large, distributed systems beyond traditional unit testing. It recommends embracing virtualization to simulate production environments and deploying applications and tests across multiple virtual machines. Various tools are presented to help with distributed, automated testing including Cactus for in-container testing, Selenium and jsUnit for browser testing, and SmartFrog as a framework for describing, deploying and managing distributed service components and tests. The document calls for a focus on system-level tests that simulate the full production environment and integrate testing across distributed systems.
This document discusses the need for improved testing of real-time communication (RTC) features like WebRTC across different browsers, operating systems, and platforms. It introduces KITE (Karoshi Interoperability Testing Engine), a framework to automate interoperability testing of RTC by running tests in parallel across multiple browser and OS combinations. KITE uses the Selenium grid for browser automation and is configurable to support desktop and mobile browsers, native apps, IoT devices, and videoconferencing use cases beyond one-to-one calls. It aims to make RTC testing easier to set up and maintain.
- What are Internal Developer Portal (IDP) and Platform Engineering?
- What is Backstage?
- How Backstage can help dev to build developer portal to make their job easier
Jirayut Nimsaeng
Founder & CEO
Opsta (Thailand) Co., Ltd.
Youtube Record: https://youtu.be/u_nLbgWDwsA?t=850
Dev Mountain Tech Festival @ Chiang Mai
November 12, 2022
The document is a project report submitted to Bharati Vidyapeeth University by Akash Raj guru. It contains information on three web development frameworks - Django, QT, and Web2py. For the Django framework section, it provides an introduction to Django including what it is, its prerequisites, downloading and installing Django, creating projects and applications in Django, and building Django applications. It also includes project snapshots and source code for a Django project.
Automated Low Level Requirements Testing for DO-178CQA Systems
This presentation shares expertise and insight on Automated Low Level Requirements Testing for DO-178C:
• DO-178C SW Verification Process
• Software Testing Activities
• Software Testing Stages
• Test Coverage Analysis
• Software Testing Activities
• Structural Coverage Analysis
• Requirements Based Test Selection
• Manual Test Generation
• So…How to Automate?
• Generation from Requirements
• Generation from Code
• AutoTest & Trace for DO-178C
• AutoTest Generation
• AutoTest Process
• AutoTest DO-178C Use Cases
For more information, please refer to: https://www.qa-systems.com/
Using Groovy to empower WebRTC Network Systemsantonry
This workshop introduces to WebRTC and how you can utilize its open API to develop Rich Communication services in your web applications. It describes a general Java gateway to allow the translation of WebRTC to SIP, the protocol used internally in the majority of VoIP networks and how Groovy is used to empower the process. In the end of the workshop, the assistants will be able to develop and deploy a basic webpage and they will have the knowledge to customize the example and develop more complex features, adding audio, video or data to HTML5, iOS or Android applications.
Python For Tester - Understand Python fundamentals and their application in t...Arshad QA
Python for Tester
1. Understand Python fundamentals and their application in test automation
2. Write efficient, clean, and readable Python code for testing
3. Work with popular Python testing frameworks like Pytest
4. Integrate Python scripts with test management tools and CI/CD pipelines
Automation Framework Setup Guide for AutomatorsArshad QA
Setting up an automation framework within an organization involves a systematic approach to establish a foundation for efficient, scalable, and maintainable test automation.
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As distributed cloud applications grow more complex, dynamic, and massively scalable, “observability” becomes more critical.
Observability is the practice of using metrics, monitoring and distributed tracing to understand how a system works.
We’ll explore two complementary Open Source technologies:
Prometheus for monitoring application metrics, and
OpenTracing and Jaeger for distributed tracing.
We’ll discover how they improve the observability of
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Challenge #1. Ensuring Test Environment Consistency: Establishing a standardized test execution environment across hundreds of Azure DevOps agents is crucial for achieving dependable testing results. This uniformity must seamlessly span from Build pipelines to various stages of the Release pipeline.
Challenge #2. Coordinated Test Execution Across Environments: Executing distinct subsets of tests using the same automation framework across diverse environments, such as the build pipeline and specific stages of the Release Pipeline, demands flexible and cohesive approaches.
Challenge #3. Testing on Linux-based Azure DevOps Agents: Conducting tests, particularly for web and native apps, on Azure DevOps Linux agents lacking browser or device connectivity presents specific challenges in attaining thorough testing coverage.
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1. Automate the setup of essential dependencies to ensure a consistent testing environment.
2. Create standardized templates for executing API tests, API workflow tests, and end-to-end tests in the Build pipeline, streamlining the testing process.
3. Implement task groups in Release pipeline stages to facilitate the execution of tests, ensuring consistency and efficiency across deployment phases.
4. Deploy browsers within Docker containers for web application testing, enhancing portability and scalability of testing environments.
5. Leverage diverse device farms dedicated to Android, iOS, and browser testing to cover a wide range of platforms and devices.
6. Integrate AI technology, such as Applitools Visual AI and Ultrafast Grid, to automate test execution and validation, improving accuracy and efficiency.
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A quick start guide to start working with Robot Framework.
End to End flow form installation to test case automation to verifying result, using both GUI and Command Prompt options.
How do you tame a big ball of mud? One test at a time.Matt Eland
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The document provides an overview of automation testing concepts using QuickTest Professional (QTP) 9.2. It discusses what automation testing is, its benefits, and the automation life cycle. It also covers topics like supported technologies, add-ins, recording and run modes, and the main QTP window. Sample script snippets demonstrate commonly used QTP functions.
The document discusses test automation concepts and introduces QuickTest Professional (QTP) 9.2. It covers the benefits of automation, the automation life cycle, supported technologies and browsers, the object repository, recording and run modes, options, and basic VBScript concepts used in QTP.
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As distributed applications grow more complex, dynamic, and massively scalable, “observability” becomes more critical. Observability is the practice of using metrics, monitoring and distributed tracing to understand how a system works. In this presentation we’ll explore two complementary Open Source technologies: Prometheus for monitoring application metrics; and OpenTracing and Jaeger for distributed tracing. We’ll discover how they improve the observability of a massively scalable Anomaly Detection system - an application which is built around Apache Cassandra and Apache Kafka for the data layers, and dynamically deployed and scaled on Kubernetes, a container orchestration technology. We will give an overview of Prometheus and OpenTracing/Jaeger, explain how the application is instrumented, and describe how Prometheus and OpenTracing are deployed and configured in a production environment running Kubernetes, to dynamically monitor the application at scale. We conclude by exploring the benefits of monitoring and tracing technologies for understanding, debugging and tuning complex dynamic distributed systems built on Kafka, Cassandra and Kubernetes, and introduce a new use case to enable Cassandra Elastic Autoscaling, by combining Prometheus alerts, Instaclustr’s Provisioning API for Dynamic Resizing, and the new Prometheus monitoring API.
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As more enterprises migrate to cloud native environments like Kubernetes the need for more scalable ways to define and enforce fine-grained policies increases: how can I limit the number of replicas of a pod for certain users? how can I ensure that all images come from trusted registries? Gatekeeper, a CNCF project, allows to define policy as Kubernetes objects, making it easier to adopt policy-as-code practices in Kubernetes environments and sharing reusable policy templates. In this talk we will demo Gatekeeper for Kubernetes environments. You will learn how to adopt policy-as-code techniques and how you can integrate Gatekeeper with your existing tools.
This document summarizes a workshop on quality of life through unit testing in Python 3. The workshop aims to:
1) Understand how unit testing can improve quality of life by ensuring quality code.
2) Practice unit testing in Python 3 by writing and running tests.
3) Integrate unit testing into the development workflow as part of continuous integration.
The document provides an introduction to unit testing concepts and best practices. It also demonstrates unit testing in Python 3 through examples and tricks for writing, importing, and automatically running tests. Finally, it discusses integrating unit testing into development and continuous integration workflows.
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Greg Anderson's slide deck from BADCamp 2016.
Having a fine-tuned continuous integration environment is extremely valuable, even for small projects. Today, there is a wide variety of standalone projects and online Software-As-A-Service offerings that can super-streamline your everyday development tasks that can help you get your projects up and running like a pro. In this session, we'll look at how you can get the most out of:
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This presentation shares expertise and insight on Automated Low Level Requirements Testing for DO-178C:
• DO-178C SW Verification Process
• Software Testing Activities
• Software Testing Stages
• Test Coverage Analysis
• Software Testing Activities
• Structural Coverage Analysis
• Requirements Based Test Selection
• Manual Test Generation
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• Generation from Code
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• AutoTest Generation
• AutoTest Process
• AutoTest DO-178C Use Cases
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Download Wondershare Filmora Crack [2025] With Latesttahirabibi60507
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Maxon Cinema 4D 2025 is the latest version of the Maxon's 3D software, released in September 2024, and it builds upon previous versions with new tools for procedural modeling and animation, as well as enhancements to particle, Pyro, and rigid body simulations. CG Channel also mentions that Cinema 4D 2025.2, released in April 2025, focuses on spline tools and unified simulation enhancements.
Key improvements and features of Cinema 4D 2025 include:
Procedural Modeling: New tools and workflows for creating models procedurally, including fabric weave and constellation generators.
Procedural Animation: Field Driver tag for procedural animation.
Simulation Enhancements: Improved particle, Pyro, and rigid body simulations.
Spline Tools: Enhanced spline tools for motion graphics and animation, including spline modifiers from Rocket Lasso now included for all subscribers.
Unified Simulation & Particles: Refined physics-based effects and improved particle systems.
Boolean System: Modernized boolean system for precise 3D modeling.
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If we were building a GenAI stack today, we'd start with one question: Can your retrieval system handle multi-hop logic?
Trick question, b/c most can’t. They treat retrieval as nearest-neighbor search.
Today, we discussed scaling #GraphRAG at AWS DevOps Day, and the takeaway is clear: VectorRAG is naive, lacks domain awareness, and can’t handle full dataset retrieval.
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TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest (MSR...Andre Hora
Unittest and pytest are the most popular testing frameworks in Python. Overall, pytest provides some advantages, including simpler assertion, reuse of fixtures, and interoperability. Due to such benefits, multiple projects in the Python ecosystem have migrated from unittest to pytest. To facilitate the migration, pytest can also run unittest tests, thus, the migration can happen gradually over time. However, the migration can be timeconsuming and take a long time to conclude. In this context, projects would benefit from automated solutions to support the migration process. In this paper, we propose TestMigrationsInPy, a dataset of test migrations from unittest to pytest. TestMigrationsInPy contains 923 real-world migrations performed by developers. Future research proposing novel solutions to migrate frameworks in Python can rely on TestMigrationsInPy as a ground truth. Moreover, as TestMigrationsInPy includes information about the migration type (e.g., changes in assertions or fixtures), our dataset enables novel solutions to be verified effectively, for instance, from simpler assertion migrations to more complex fixture migrations. TestMigrationsInPy is publicly available at: https://github.com/altinoalvesjunior/TestMigrationsInPy.
Join Ajay Sarpal and Miray Vu to learn about key Marketo Engage enhancements. Discover improved in-app Salesforce CRM connector statistics for easy monitoring of sync health and throughput. Explore new Salesforce CRM Synch Dashboards providing up-to-date insights into weekly activity usage, thresholds, and limits with drill-down capabilities. Learn about proactive notifications for both Salesforce CRM sync and product usage overages. Get an update on improved Salesforce CRM synch scale and reliability coming in Q2 2025.
Key Takeaways:
Improved Salesforce CRM User Experience: Learn how self-service visibility enhances satisfaction.
Utilize Salesforce CRM Synch Dashboards: Explore real-time weekly activity data.
Monitor Performance Against Limits: See threshold limits for each product level.
Get Usage Over-Limit Alerts: Receive notifications for exceeding thresholds.
Learn About Improved Salesforce CRM Scale: Understand upcoming cloud-based incremental sync.
Societal challenges of AI: biases, multilinguism and sustainabilityJordi Cabot
Towards a fairer, inclusive and sustainable AI that works for everybody.
Reviewing the state of the art on these challenges and what we're doing at LIST to test current LLMs and help you select the one that works best for you
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Minitab is a statistical software package designed for data analysis, quality improvement, and Six Sigma applications. It's used by businesses, universities, and individuals to analyze data, identify patterns, and make data-driven decisions.
How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...Egor Kaleynik
This case study explores how we partnered with a mid-sized U.S. healthcare SaaS provider to help them scale from a successful pilot phase to supporting over 10,000 users—while meeting strict HIPAA compliance requirements.
Faced with slow, manual testing cycles, frequent regression bugs, and looming audit risks, their growth was at risk. Their existing QA processes couldn’t keep up with the complexity of real-time biometric data handling, and earlier automation attempts had failed due to unreliable tools and fragmented workflows.
We stepped in to deliver a full QA and DevOps transformation. Our team replaced their fragile legacy tests with Testim’s self-healing automation, integrated Postman and OWASP ZAP into Jenkins pipelines for continuous API and security validation, and leveraged AWS Device Farm for real-device, region-specific compliance testing. Custom deployment scripts gave them control over rollouts without relying on heavy CI/CD infrastructure.
The result? Test cycle times were reduced from 3 days to just 8 hours, regression bugs dropped by 40%, and they passed their first HIPAA audit without issue—unlocking faster contract signings and enabling them to expand confidently. More than just a technical upgrade, this project embedded compliance into every phase of development, proving that SaaS providers in regulated industries can scale fast and stay secure.
Discover why Wi-Fi 7 is set to transform wireless networking and how Router Architects is leading the way with next-gen router designs built for speed, reliability, and innovation.
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Adobe Illustrator is a vector graphics editor and design software, developed and marketed by Adobe, used for creating logos, icons, illustrations, and other graphics that can be scaled without loss of quality. It's a powerful tool for graphic designers, web designers, and artists who need to create crisp, scalable artwork for various applications like print, web, and mobile.
Revitalizing a high-volume, underperforming Salesforce environment requires a structured, phased plan. The objective for company is to stabilize, scale, and future-proof the platform.
Here presenting various improvement techniques that i learned over a decade of experience
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Adobe Illustrator is a powerful, professional-grade vector graphics software used for creating a wide range of designs, including logos, icons, illustrations, and more. Unlike raster graphics (like photos), which are made of pixels, vector graphics in Illustrator are defined by mathematical equations, allowing them to be scaled up or down infinitely without losing quality.
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Meet the Agents: How AI Is Learning to Think, Plan, and CollaborateMaxim Salnikov
Imagine if apps could think, plan, and team up like humans. Welcome to the world of AI agents and agentic user interfaces (UI)! In this session, we'll explore how AI agents make decisions, collaborate with each other, and create more natural and powerful experiences for users.
Explaining GitHub Actions Failures with Large Language Models Challenges, In...ssuserb14185
GitHub Actions (GA) has become the de facto tool that developers use to automate software workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts development, causing delays and driving up costs. Diagnosing failures becomes especially challenging because error logs are often long, complex and unstructured. Given these difficulties, this study explores the potential of large language models (LLMs) to generate correct, clear, concise, and actionable contextual descriptions (or summaries) for GA failures, focusing on developers’ perceptions of their feasibility and usefulness. Our results show that over 80% of developers rated LLM explanations positively in terms of correctness for simpler/small logs. Overall, our findings suggest that LLMs can feasibly assist developers in understanding common GA errors, thus, potentially reducing manual analysis. However, we also found that improved reasoning abilities are needed to support more complex CI/CD scenarios. For instance, less experienced developers tend to be more positive on the described context, while seasoned developers prefer concise summaries. Overall, our work offers key insights for researchers enhancing LLM reasoning, particularly in adapting explanations to user expertise.
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Who Watches the Watchmen (SciFiDevCon 2025)Allon Mureinik
Tests, especially unit tests, are the developers’ superheroes. They allow us to mess around with our code and keep us safe.
We often trust them with the safety of our codebase, but how do we know that we should? How do we know that this trust is well-deserved?
Enter mutation testing – by intentionally injecting harmful mutations into our code and seeing if they are caught by the tests, we can evaluate the quality of the safety net they provide. By watching the watchmen, we can make sure our tests really protect us, and we aren’t just green-washing our IDEs to a false sense of security.
Talk from SciFiDevCon 2025
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19. Framework Includes
Playwright: For browser automation.
Playwright: For browser automation.
pytest-html: For generating HTML reports.
Logging: For detailed logging of test executions.
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Setting Up a Playwright Project
Step 1: Install Playwright
First, install Playwright along with its dependencies:
pip install playwright pytest pytest-html
21. www.arshadqa.com
Setting Up a Playwright Project
Install Python and pip
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22. www.arshadqa.com
Setting Up a Playwright Project
If Python is installed, this command will display the version number.
24. Running the Test in command Line
cd "C:UsersArshad MehmoodOneDrive - Riphah International UniversityDesktop
ArshadMgr“
Note: Run in Powershell
pytest MPOPlayWright/tests/test_example.py
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Setting Up a Playwright Project
Once Node.js is installed, you can install Playwright using npm (Node Package
Manager). Open your terminal or command prompt and run:
34. www.arshadqa.com
Setting Up a Playwright Project
To ensure Playwright is installed correctly, you can check the version. In the
terminal or command prompt, run:
35. www.arshadqa.com
Setting Up a Playwright Project
Now you should be able to run Playwright commands using npx. For
example:
36. www.arshadqa.com
Setting Up a Playwright Project
Create Missing Directory:
Ensure that the C:UsersArshad MehmoodAppDataRoamingnpm directory
exists. You can create it manually if it doesn't exist:
•Open File Explorer.
•Navigate to C:UsersArshad MehmoodAppDataRoaming.
•Create a new folder named npm.
37. Setting Up a Playwright Project
Ensure PATH includes C:UsersArshad MehmoodAppDataRoamingnpm
and
C:Program Filesnodejs.
38. www.arshadqa.com
PyCharm for Playwright Test Automation
Step 1: Install PyCharm
1.Download and install PyCharm from the JetBrains website.
2.Choose the Professional edition for full features, or the Community edition for a
free, open-source version.
39. PyCharm for Playwright Test Automation
Step 2: Create a New Project
1.Open PyCharm and create a new project.
2.Set the project interpreter to the Python version you have installed on your
machine.
40. PyCharm for Playwright Test Automation
Step 3: Install Required Packages
1.Open the terminal within PyCharm (View > Tool Windows > Terminal).
2.Install the necessary packages using pip:
pip install playwright pytest pytest-html
After installing Playwright, install the necessary browser binaries:
playwright install npm install -g playwright
67. Data validation through Open AI and
Regular Expression library
Data Validation through Open AI
Data Validation through Regular
expression helper functions
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70. Data Driven Testing
Data-Driven Testing (DDT)
is a software testing methodology where test data is
driven by external data sources such as Excel files,
CSV files, databases, JSON, or XML files. It enables
the execution of test scripts multiple times with
different sets of data to validate application
functionality against various inputs and scenarios. This
approach helps increase test coverage and identify
edge cases.
71. Key Benefits
of Data-
Driven
Testing
Reusability: Test scripts are reusable with multiple
datasets.
Scalability: New test cases can be added by simply
modifying or adding data to the external data
source.
Efficiency: Reduces the number of test scripts
needed by combining similar tests into a single
script.
Flexibility: Easily integrates with different types of
data sources.
Improved Coverage: Validates the application
across a broad range of inputs.
72. Components
of Data-
Driven
Testing
Data Source: The external file or
database containing input data.
Data Provider: A mechanism to
fetch data from the data source
and feed it into the test script
Test Script: The main code that
performs the test
73. Steps for Coding
Here are the steps for getting the test data from excel file
Precondition: Create a excel file and place in project
Step1: import openpyxl, Note: The openpyxl library is used to load and read the Excel file.
Step2: Copy the absolute path where excel is located in project
# Path to the Excel file: excel_file_path = "C:/Users/Arshad
Mehmood/OneDrive/Desktop/ArshadMgr/Payload/testData/StudentProfile.xlsx“
Step3: Function to read test data from the Excel file
Step4: Fill the page fields using data from Excel
Step6: Run the test case
86. Playwright with Python | PyTest framework with Playwright Part 3 |
marker skip & xfail
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87. Playwright with Python | PyTest framework with Playwright Part 4 |
Custom markers
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88. Playwright with Python | PyTest framework with Playwright Part 5| Useful
CLI commands
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89. Playwright with Python | PyTest
framework with Playwright Part 6|
Fixture| Setup and Teardown
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90. Playwright with Python | PyTest framework with Playwright Part 7| page
Fixture
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91. Playwright with Python | PyTest framework with Playwright Part 8| Playwright CLI commands
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92. Playwright with Python | PyTest framework with Playwright Part 9| Run in iPhone| Emulate Device
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93. Playwright with Python | PyTest framework with Playwright Part 10|Take Screenshot
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94. Playwright with Python | PyTest with
Playwright Part11 Video Recording
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95. Playwright with Python | PyTest framework with Playwright Part12| Configure base-url
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96. Playwright with Python | PyTest with Playwright Part13| page fixture vs browser fixture
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97. Playwright with Python | PyTest with Playwright Part14| Tracing for debugging| --tracing
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98. Playwright with Python | Parallel Execution| PyTest with Playwright Part15
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99. Playwright with Python | HTML Report Generation| PyTest with Playwright Part16
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100. Playwright with Python | Maximize/Full Screen browser in Playwright - Part 1
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101. Playwright with Python | Parametrize
Fixture| PyTest with Playwright Part17
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102. Playwright with Python | open vs codegen| Emulate Geolocation| Explore button PW Inspector
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103. Playwright with Python | Navigate Back| Navigate Forward| Click Operation
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104. Playwright with Python | fill vs type method| Key Press| How to clear text input in Playwright
How to enter text in input box?
How to clear text?
How to use press key from keyboard?
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105. Playwright with Python |How to get
Text of an Element| inner_text vs
text_content
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106. Playwright with Python |How to get value from an input field | Get attribute value
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107. Playwright with Python | Reuse authenticated state using Browser Context
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108. Playwright with Python | Reuse
authenticated state using storage file
How to automate logging in?
How to re-use authenticated state using browser context?
How to use authenticated state using storage file?
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109. Playwright with Python | Browser not
opening issue with Reuse
authenticated state | Resolved
How to automate Loggin in?
How to re-use authenticated state using browser context?
How to use authenticated state using storage file?
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111. Playwright with python| How to check and uncheck any checkbox in Playwright
How to check and uncheck?
How to uncheck an checkbox?
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112. Playwright with Python| Select radio button| Verify radio button is selected in Playwright
How to select a radio button?
How to verify a radio button is selected?
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113. Playwright with Python | Select single select dropdown in Playwright
How to select single select list by value?
How to select a single select list by visible text?
How to select a single select list by value?
How to deselect a single select list?
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116. Playwright with Python | Get selected value from single Select dropdown| Assert dropdown value
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117. Playwright with Python | Assert selected values in Multi Select Dropdown
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118. Playwright with Python | Handle multiple elements/locators in Playwright
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119. Playwright with Python | How to handle Dynamic dropdown using Playwright
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120. Playwright with Python | Setup Playwright from scratch using pipenv
What is pipenv?
How to install pipenv?
How to setup playwright from scratch using pipenv?
How to run tests using pipenv?
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121. Playwright with Python| Selecting Element Based on Other Element| Augmenting Existing Locator
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123. Playwright with Python | Handle Submenu after Hover over | Pause Debugger in Chrome Dev tool
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124. Playwright with Python | Handle non select type Autocomplete/Autosuggestion dropdown
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125. Playwright with Python | How to Handle iframe by ID and by frame locator
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126. Playwright with Python | Handle iframe or frame by name | Handle iframe or frame by index
Difference between frame and iframe?
How to identify the iframe on webpage?
Get all iframe/frame name
How to handle iframe/frame by name?
How to handle a iframe/frame by index
How to create a generic method and pass index to get frames?
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127. Playwright with Python| Handle
Nested iframe or frame using
Playwright
How to work nested frame or iframe?
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128. Playwright with Python | Window and Tab Handling using Playwright
Browser context Vs page
How to handle new tab/window which is opening when user clicks on a
link?
How to handle multiple new windows/tabs using index of windows or tabs?
How to activate a tab or bring back to front?
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129. Playwright with Python | Handle Javascript Alert Popup using Playwright
How to handle Javascript alert popup?
How to accept and dismiss alert popup?
How to enter something on alert prompt?
How to get the message from alert prompt?
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130. Playwright with Python | Handle Sweet Alert popup using Playwright
How to handle sweet alert popup?
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131. Playwright with Python | Handle Angular Dropdown with no Select tag using Playwright
How to select value from angular reactive form dropdown without select
and option tags?
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132. Playwright with Python | Auto wait Functionality| Handle dynamic loading | AJAX Loading
What is auto wait in Playwright?
What if we need to wait explicit till a element is visible?
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133. Playwright with Python | Handle Basic Auth | Handle Digest Auth using Playwright
How to handle Basic Authentication?
How to handle Digest Authentication?
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134. Playwright with Python | View Page
Source
View Page Source(CLRL+U)
How to see page source using playwright?
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135. Playwright with Python | Assertions-Part1 | Verify Page title, URL, field value, text content
Assertion in Playwright
Expect(page).to_have_url(‘https://www.amazon.in/’, timeout=15000)
Expect(dropdown).to_have_value(‘Label2’)
Expect(page.locator(“//select[@name=‘country’]”)).to_have_value(‘IN’)
Expect(page).to_have_title(‘The Internet’)
Expect(new_window_txt).to_have_text(‘New Window’)
Expect(new_window_txt).not_to_have_text(‘Old Window’)
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136. Playwright with Python | Assertions-
Part2 | Verify checkbox is checked or
unchecked
Verify that checkbox is checked
Verify that checkbox is unchecked
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137. Playwright with Python| Assertions -Part3 | Verify button is enabled or disabled
How to verify that if a button is disabled using Playwright?
How to verify if a button is enabled using Playwright?
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138. Playwright with Python | Run on Chromium, Webkit, FF, Chrome, Edge browsers | CLI Commands
How to run in Chromium, Webkit, FF, Chrome(local), Edge(local), chrome-
beta, Edge-beta and Edge-dev
Do we need any binaries to run on local chrome and Edge?
What is FFMEPG in ms-playwright folder?
How to download binaries for only chromium or webkit?
How to set custom folder path for downloading Playwright browser
binaries?
What is executable_path in launch method
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139. Playwright with Python| Handle Dynamic Web Table (Angular) | Augmenting existing locator| Part 1
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Click on checkbox by customer name
Get the balance of a customer
Print all data from table
https://www.w3schools.com/html/html_tables.asp (html)
Print all data from table
How to get a particular cell data for a company
How to get all data for a particular column from web table
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140. Playwright with Python| Handle Dynamic Web Table (HTML) | Augmenting existing locator| Part 2
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141. Playwright with Python | Verify Read only| Editable field | Assertions - Part 4|
Verify that field is displayed as Read Only
Verify that field is editable
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142. Playwright with Python |Verify attribute value and text content |Select by Id |Assertions -Part5
Verify a particular phrase contains in text message
How to select element by ID
Verify attribute value of an element
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143. Playwright with Python| Drag and Drop using Playwright
How to do drag and drop using Playwright
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144. Playwright with Python | How to wait for loading Icon to disappear | Dynamic Control
How to wait for load icon to disapper
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146. Playwright with Python | Open browser in Non Incognito mode
How to open chromium browser in non incognito mode
How to open edge browser in non incognito mode
How to open chrome browser in non incognito mode
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147. Playwright with Python | Maximize/Full Screen browser in Playwright - Part 2
How to maximize browser window
How to launch browser in full screen mode
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148. Playwright with Python | How to perform double click | Assertion - Part 6| to_have_class()
How to perform double click?
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149. Playwright with Python | How to handle tooltip message using Playwright
How to handle tooltip message using playwright?
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150. Playwright with Python | Horizontal Slider | Price Slider automation using Playwright
How to automate horizontal slider using playwright?
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151. Playwright with Python | Handle toast message using Playwright
How to handle toast message?
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152. Playwright with Python | Upload single file or multiple files using Playwright
How to upload single or multiple file using playwright?
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153. Playwright with Python | How to download file using Playwright
How to download file using Playwright and Python?
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154. Playwright with Python | Handle Shadowdom using Playwright
How to handle shadowdom using playwright?
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155. Playwright with Python | File Upload without input type="file" element using Playwright
How to upload file where there is no input tag and there is no type=“file” in
the page
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156. Playwright with Python | Attach Screenshot in Pytest HTML Report on Failure with Playwright
How to attach screenshot in Pytest HTML report on Failure?
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157. Run Playwright Script in Interactive Mode using Python Shell| Playwright with Python
How to run Playwright script in Interactive mode?
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158. Save Screenshots and Videos in user defined custom folder| Playwright with Python| | --output
How to save screenshots and videos in a user defined custom folder(not
default test-results folder)
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159. Implement Data Provider with Playwright | Parametrize Pytest Test | Playwright with Python
How to implement data provider concept in playwright using Pytest-
Parameterizing tests
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160. Automate Slide to submit | Slide to verify using Playwright | Playwright with Python
How to automate slide to submit scenario?
How to automation slide to verify?
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161. Soft Assertion in Playwright | Playwright with Python
How to use soft assertion in Playwright with Python?
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162. How to Upgrade Playwright | Install a specific Playwright version| Playwright with Python
How to upgrade Playwright to latest version?
How to change Playwright version to a specific version?
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164. Live locator in Playwright Codegen | Playwright v1.28 with Python
Inspect and find GET_BY_LOCATOR
Using explore button in Playwright Inspector
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165. Remove focus from element using locator.blur(**kwargs) |
Playwright v1.28 with Python
How to remove focus from element using locator.blue()
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166. Clear input field using new locator.clear() API | Playwright v1.28 with
Python
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167. POM Framework - Part 1 | Playwright with Python and Pytest | Page Object Model Design Pattern
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168. How to do Drag and drop manually in Playwright with Python
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169. POM Framework - Part 2 | Playwright with Python and Pytest | Page Object Model Design Pattern
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170. POM Framework - Part 3 | Playwright with Python and Pytest | Page Object Model Design Pattern
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171. POM Framework - Part 4 | Playwright with Python and Pytest | Page
Object Model Design Pattern
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172. POM Framework - Part 5 | Playwright with Python and Pytest | Page Object Model Design Pattern
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173. POM Framework - Part 6 | Playwright with Python and Pytest | Page
Object Model Design Pattern
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174. How to handle Graph having SVG tag | Playwright with Python | Handle Svg elements
How to automate graph having Svg tag in DOM?
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175. Convert HTML page to PDF using Playwright | Generate PDF
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176. Inspect Network traffic log using Playwright and Python | Chrome Dev Tools
How to extract network responses and status code using Playwright and
Python?
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177. Verify CSS Properties using Playwright & Python |Element color, text-align, font style, size
Assertion-Verify CSS Property Value
How to verify color of an element?
How to verify if element text is aligned correctly?
How to verify the font style and fond size of element text?
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178. Get Height and Width of element using Playwright and Python
How to get height and width of element?
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179. Playwright with Python | Issue- Why two tabs open in Non-Incognito mode?
Why do we get two tabs when try to run non incognito mode?
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180. Pytest-How to use multiple fixture in single
test | Playwright with Python
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181. Select first and last element from Multi Select Dropdown using Playwright and Python
Select First Element
Select Last Element
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182. How do I stop my browser from closing in Playwright with Python | Add breakpoint | Pause script
How to I stop my browser from closing in Playwright?
Page.pause()
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184. Framework Components
Framework follows a modular approach, ensuring better maintainability
and scalability. Here’s a breakdown of each component
1. Test Cases:
Contains actual test scripts using Pytest.
Calls functions from Page Objects for actions.
2. Page Objects:
Implements the Page Object Model (POM) to encapsulate UI elements and
actions.
Enhances reusability and maintainability.
185. Framework Components
3. Utils (config.py, logger.py)
config.py: Stores environment variables and configurations.
logger.py: Implements logging for debugging and reporting.
4. Test Data (JSON, Excel)
Manages test data separately for data-driven testing.
Use pytest parameterization or Faker library for dynamic data.
186. Framework Components
5. Pytest
Runs test cases and integrates with Page Objects.
Supports parallel execution (pytest-xdist).
Generates logs, screenshots, and reports.
6. Reports, Screenshots, Logs
HTML Reports: Use pytest-html for detail test reports
Screenshots: Capture failures for debugging.
Logs: Track test execution details.
187. Framework Components
7. CI/CD Integration
Automates test execution in CI/CD pipelines.
Integrates with Jenkins, GitHub Actions, or GitLab CI.
8. Git & GitHub
Version control for the framework.
Supports code reviews, branching, and collaboration.