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Local to Global: A Journey with Co-op Translator to Share Learning Resources Worldwide","conversation":{"__ref":"Conversation:conversation:4280741"},"id":"message:4280741","revisionNum":24,"uid":4280741,"depth":0,"board":{"__ref":"Blog:board:EducatorDeveloperBlog"},"author":{"__ref":"User:user:2204790"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" \n I used the Co-op Translator to translate my English presentation materials from an MLSA session into Punjabi (pa) and Hindi (hi), allowing students to access content in their preferred languages. You can view the translated results in my GitHub repository. This guide covers how I integrated Azure services to provide multilingual support, configuring the project environment, and using the Co-op Translator Python package to handle both markdown and image translation. \n \n \n ","introduction":"","metrics":{"__typename":"MessageMetrics","views":222},"postTime":"2024-11-07T00:00:00.024-08:00","lastPublishTime":"2024-11-07T00:00:00.024-08:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Introduction \n \n Co-op Translator is an innovative Python package developed to streamline the translation of project documentation into various languages. By harnessing the capabilities of advanced Large Language Models (LLMs) and Azure AI Services, Co-op Translator provides a robust solution for developers and organizations seeking \n enhance their global outreach and collaboration. \n \n A Journey with Co-op Translator to Share Learning Resources Worldwide \n \n In this blog, we will walk you through setting up and using Co-op Translator, a powerful tool that automates the translation of markdown files and images. I used it to translate my English presentation materials from an MLSA session into Punjabi (pa) and Hindi (hi), allowing students to access content in their preferred languages. You can view the translated results in my GitHub repository. This guide covers how I integrated Azure services to provide multilingual support, configuring the project environment, and using the Co-op Translator Python package to handle both markdown and image translation. \n \n Here's an example from my GitHub documentation project, showing my presentation materials translated into Hindi. \n \n \n What is a Co-Op Translator? \n \n Co-Op Translator is an open-source tool designed to automate translating Markdown files and images containing embedded text into multiple languages. Powered by Azure AI Services, it streamlines the traditionally time-consuming translation process, allowing you to make your projects globally accessible with minimal manual effort. \n \n \n \n Key features \n \n \n Translates both Markdown files and text files \n Supports multiple languages simultaneously. \n Leverages Azure Computer Vision and Azure OpenAI for high-quality translations. \n It can be easily integrated into your existing workflows. \n \n \n Purpose of Translating the Repository \n \n Translating the repository's primary purpose is to democratize project documentation access. By making information available in multiple languages, Co-op Translator aims to facilitate collaboration among developers, educators, and students from diverse linguistic backgrounds. This initiative not only improves accessibility but also fosters an inclusive environment for learning and development. \n \n Overview of the Repository \n \n The Co-op Translator repository serves as a comprehensive resource for users interested in implementing automated translation solutions. It includes: \n \n Source Code: The core functionality of the translation tool. \n Documentation: Guides and tutorials for setting up and using the translator. \n Examples: Sample projects demonstrating how to integrate translation features into existing applications. \n Tools: Utilities for managing translations and analyzing costs. \n \n Description of the Repository’s Purpose \n \n The repository is designed to empower developers with the tools necessary to automate the translation of their documentation. This includes not only the translation process itself but also best practices for maintaining high-quality translations and managing multilingual content effectively. \n \n Target Audience: Students and Educators \n \n Co-op Translator is particularly beneficial for students and educators who often require access to multilingual documentation for their studies and projects. By providing translated resources, the repository supports educational initiatives and promotes inclusiveness in learning environments. \n \n Setting Up Azure Resources \n \n First, I created the necessary Azure resources for the Co-op Translator: \n \n Azure OpenAI \n Azure Computer Vision \n \n \n Creating an Azure Account \n \n If you don't already have an Azure account, you'll need to create one. \n \n Navigate to the Azure Sign Up page. \n Select Try Azure for free or Pay as you go. \n Follow the on-screen instructions to create your account. \n Provide your details and contact information. \n Verification: You'll need to verify your identity using a credit card or phone number. \n \n Creating an Azure Computer Vision Resource \n \n \n \n Sign in to the Azure Portal. \n \n \n Type computer vision in the search bar at the top of the portal page and select Computer vision from the options that appear. \n \n \n \n \n Select + Create from the navigation menu. \n \n \n \n \n \n Perform the following tasks: \n \n Select your Azure Subscription. \n Select the Resource group to use (create a new one if needed). \n Select the Region you'd like to use. \n Enter Name. It must be a unique value. \n Select the Pricing tier you'd like to use. \n \n \n \n \n \n \n Select Review + Create. \n \n \n Select Create. \n \n \n \n Creating an Azure OpenAI Resource \n \n \n \n Type azure openai in the search bar at the top of the portal page and select Azure OpenAI from the options that appear. \n \n \n \n \n \n Select + Create from the navigation menu. \n \n \n \n \n Perform the following tasks: \n \n Select your Azure Subscription. \n Select the Resource group to use (create a new one if needed). \n Select the Region you'd like to use. \n Enter Name. It must be a unique value. \n Select the Pricing tier you'd like to use. \n \n \n \n \n \n \n Select Next to move to the Network page. \n \n \n Select a network security Type you'd like to use. \n \n \n \n \n \n Select Next to move to the Tags page. \n \n \n Select Next to move to the Review + submit page. \n \n \n Select Create. \n \n \n \n \n \n Deploying Azure OpenAI Models \n \n \n \n Navigate to the Azure OpenAI resource that you created. \n \n \n Select Go to Azure OpenAI Studio from the navigation menu. \n \n \n \n \n \n \n Inside Azure OpenAI Studio, select Deployments from the left side tab. \n \n \n Select + Deploy model from the navigation menu. \n \n \n Select Deploy base model from the navigation menu to create a new gpt-4o deployment. \n \n \n \n \n \n Perform the following tasks: \n \n Inside Select a model page, select gpt-4o. \n Select Confirm to navigate to the Deploy model gpt-4o page. \n Inside Deploy model gpt-4o page, enter Deployment name. It must be a unique value. For example, gpt-4o. \n Inside Deploy model gpt-4o page, select the Deployment type you'd like to use. \n \n \n \n Select Deploy. \n \n \n \n Creating the .env File in the Root Directory \n \n Then, I created a .env file in the root directory of my project to store my Azure credentials and other environment variables. \n In this section, we will guide you through setting up your environment variables for Azure services using a .env file. Environment variables allow you to securely manage sensitive credentials, such as API keys, without hard-coding them into your codebase. \n \n Creating the .env File \n \n In the root directory of your project, create a file named .env. This file will store all your environment variables in a simple format. \n \n Warning \n \n Do not commit your .env file to version control systems like Git. Add .env to your .gitignore file to prevent accidental commits. \n \n \n \n \n Navigate to the root directory of your project. \n \n \n Create an .env file in the root directory of your project. \n \n \n \n \n \n Open the .env file and paste the following template: \n # Azure Credentials\nAZURE_SUBSCRIPTION_KEY=\"your_azure_subscription_key\"\nAZURE_AI_SERVICE_ENDPOINT=\"https://your_azure_ai_service_endpoint\"\n\n# Azure OpenAI Credentials\nAZURE_OPENAI_API_KEY=\"your_azure_openai_api_key\"\nAZURE_OPENAI_ENDPOINT=\"https://your_azure_openai_endpoint\"\nAZURE_OPENAI_MODEL_NAME=\"your_model_name\"\nAZURE_OPENAI_CHAT_DEPLOYMENT_NAME=\"your_deployment_name\"\nAZURE_OPENAI_API_VERSION=\"your_api_version\"\n \n \n \n Gathering Your Azure Credentials \n You will need the following Azure credentials on hand to configure the environment: \n \n \n For Azure AI Service: \n \n Azure Subscription Key: Your Azure subscription key, which allows you to access the Azure AI services. \n Azure AI Service Endpoint: The endpoint URL for your specific Azure AI service. \n \n \n \n For Azure OpenAI Service: \n \n Azure OpenAI API Key: The API key for accessing Azure OpenAI services. \n Azure OpenAI Endpoint: The endpoint URL for your Azure OpenAI service. \n Azure OpenAI Model Name: The name of the model you will be interacting with. \n Azure OpenAI Deployment Name: The name of your deployment for Azure OpenAI models. \n Azure OpenAI API Version: The version of the Azure OpenAI API you are using. \n \n \n \n \n Adding Azure Environment Variables \n \n \n \n Perform the following tasks to add the Azure Subscription key and Azure AI Services Endpoint: \n \n Type computer vision in the search bar at the top of the portal page and select Computer vision from the options that appear. \n Navigate the Azure Computer Vision resource that you are currently using. \n Copy and paste your Subscription key and Endpoint into the .env file. \n \n \n \n \n \n \n \n Perform the following tasks to add the Azure OpenAI API Key and Endpoint: \n \n Type azure openai in the search bar at the top of the portal page and select Azure OpenAI from the options that appear. \n \n \n Navigate the Azure OpenAI resource that you are currently using. \n Select Keys and Endpoint from the left side tab. \n Copy and paste your Azure OpenAI API Key and Endpoint into the .env file. \n \n \n \n \n \n \n \n Perform the following tasks to add the Azure OpenAI Deployment Name and Version: \n \n \n Navigate to the Azure OpenAI resource that you created. \n \n \n Select Go to Azure OpenAI Studio from the navigation menu. \n \n \n \n \n \n Inside Azure OpenAI Studio, select Deployments from the left side tab. \n \n \n Copy and paste your Azure OpenAI Name and model Version into the .env file. \n \n \n \n \n \n \n \n Save the .env file. \n \n \n Now, you can access these environment variables to use Co-op Translator with your Azure services. \n \n \n Creating a .gitignore File \n \n To ensure sensitive information is not shared in version control, I created a .gitignore file in the root of my project and add the .env file to it: \n # Ignore environment files\n.env\n \n \n Adding Multilingual Support Table in README.md \n \n Next, I added a multilingual support section to my README.md file to display the available translations. Here's how I set it up: \n \n \n## 🌐 Multi-Language Support\n\n> **Note:**\n> These translations were automatically generated using the open-source [co-op-translator](https://github.com/Azure/co-op-translator) and may contain errors or inaccuracies. For critical information, it is recommended to refer to the original or consult a professional human translation. If you'd like to add or update a translation, please refer to the [co-op-translator](https://github.com/Azure/co-op-translator) repository, where you can easily contribute using simple commands.\n\n| Language | Code | Link to Translated README | Last Updated |\n|----------------------|------|---------------------------------------------------------|--------------|\n| Punjabi (Gurmukhi) | pa | [Punjabi Translation](./translations/pa/README.md) | 2024-10-25 |\n| Hindi | hi | [Hindi Translation](./translations/hi/README.md) | 2024-10-25 |\n\n \n \n Installing and Using the Co-op Translator \n \n \n \n I created a virtual environment for the project to keep dependencies isolated: \n python -m venv .venv\n \n \n \n Then, I activated the virtual environment: \n .venv\\Scripts\\activate.bat \n \n \n Note \n Your terminal should now show the virtual environment is active, for example: \n (.venv) C:\\Users\\sms79\\dev\\24-07-22-tech-writing> \n \n \n \n With the environment activated, I installed the Co-op Translator using pip: \n pip install co-op-translator\n \n \n \n \n Step-by-Step Translation Process \n \n Once installation is complete, translating your project into your desired languages with Co-op Translator is straightforward. From the root directory of your project, simply run the following command: \n translate -l \"language_codes\" \n \n \n For example, to translate the markdown files and images into both Punjabi and Hindi, you would use: \n translate -l \"hi pa\"\n \n \n \n After running this command, Co-op Translator will begin the translation process, with output similar to the following: \n (.venv) C:\\Users\\sms79\\dev\\PowerPlatformsession>translate -l \"hi pa\" \nTranslating images: 100%|█████████████████████████████████████████████████████████████| 32/32 [07:45<00:00, 14.54s/it]\nTranslating markdown files: 100%|███████████████████████████████████████████████████████| 4/4 [04:15<00:00, 63.75s/it]\n \n \n \n This process efficiently translates both images and markdown files, allowing your content to reach a wider audience in multiple languages. \n \n Appendices \n \n Appendix 1: Original README (English) \n \n \n \n Appendix 2: Translated README (Punjabi) \n \n \n \n Appendix 3: Translated README (Hindi) \n \n \n \n Observations on Translation Quality \n \n The markdown translations were completed smoothly without any issues. However, with image translations, I noticed that densely packed sentences occasionally shrank or stretched excessively after translation, making them challenging to read. \n \n Benefits of Multilingual Content for Students \n \n Using Co-op Translator to Provide multilingual content significantly enhances accessibility for students who speak different languages. It enables non-English speakers to engage fully with the material, breaking down language barriers. This is especially valuable in the MLSA program, which spans diverse regions globally and includes many participants whose first language is not English. \n \n \n Translation Cost Analysis \n \n \n Translation Time and Cost \n \n \n Translation Time \n \n \n For this translation process, we translated into Hindi (hi) and Punjabi (pa). The following time was recorded: \n \n Images: 32 images translated in 7 minutes and 45 seconds \n Markdown Files: 4 markdown files translated in 4 minutes and 15 seconds \n \n \n \n Translation Cost \n \n Using Azure Cost Management, I reviewed the translation costs for both images and markdown files. Note that the Images section includes the cost for extracting and translating text within each image. Here is the detailed breakdown: \n \n Images (with Text Extraction): 32 images processed, totaling $0.05 \n Markdown Files: 4 markdown files translated (includes extracted image text), totaling $0.29 \n \n \n Total Estimated Translation Cost \n \n The total estimated cost for this translation process is $0.34. \n \n \n \n \n Accessing Cost Management \n \n To verify and monitor these costs, follow these steps to access Azure Cost Management: \n \n \n Go to the Azure Portal and log in with your Azure account. \n \n \n Type subscriptions in the search bar at the top of the portal page and select Subscriptions from the options that appear. \n \n \n \n \n Select the subscription you'd like to use. \n \n \n \n \n Select Cost analysis from the left side menu to view a detailed breakdown of your costs. \n \n \n Perform the following tasks to monitor translation costs effectively: \n \n Select the calendar icon to adjust the date range, aligning it with the timeframe of your translation project. \n Select +Add filter \n Select Filter items to Resource.\n \n If all translation resources are organized within a single resource group, choose Resource Group to view the cumulative cost at the group level. \n To analyze individual costs per service, select Resource for a detailed breakdown by specific resource usage. \n \n \n Select Resources you'd like to analyze, such as Azure Computer Vision and Azure OpenAI, which are used for translation tasks. \n \n \n \n \n \n \n \n Understanding Translation Costs in Azure Portal \n \n Azure provides a suite of cost-management tools that help users monitor and manage their spending on translation services. To effectively navigate these tools: \n \n Access the Azure Portal: Log into your Azure account and navigate to the Cost Management + Billing section. \n Review Cost Analysis: Use the cost analysis feature to track your spending over time, filter by resource type, and identify trends in usage. \n Set Budgets: Create budgets for your translation services to ensure you stay within financial limits. \n \n \n \n \n Analyzing the Cost of Translation by Content Type \n \n Costs associated with translation services can vary significantly based on the type of content being translated. For instance: \n \n Textual Content: Generally, it incurs lower costs compared to multimedia content. \n Images and Graphics: This may require additional processing and thus higher costs. \n Complex Formats: Documents with complex formatting or technical jargon may also lead to increased translation costs. \n \n To analyze costs effectively, users should categorize their content types and estimate translation expenses accordingly. \n \n \n \n Tips for Managing and Minimizing Costs \n \n \n Choose the Right Azure Resources: Select the most cost-effective services based on your needs. Consider using lower-tier translation services for less critical documents. \n Monitor Usage Regularly: Set up alerts in Azure to notify you when you approach your budget limits. Regular monitoring helps avoid unexpected charges. \n Optimize Content: Reduce the volume of content needed by summarizing information or providing key excerpts. This can significantly lower costs. \n Leverage Azure’s Free Tier: If applicable, take advantage of Azure’s free tier offerings for translation services to minimize costs during initial trials or small projects. \n \n Utilizing Translated Content for Students \n \n How Students Can Access and Use the Translated Repository \n \n Students can easily access translated versions of project documentation through the repository. Key steps include: \n Navigating the Repository: Visit the Co-op Translator GitHub repository and look for sections dedicated to translated documents. \n Using Translated Resources: Students can download or clone the repository to access translated documentation, which can be utilized for their projects, assignments, or collaborative work. \n \n Enabling Global Access for Student Ambassadors and Language-Specific Content \n \n Student Ambassadors: Encourage student ambassadors to promote the use of translated content within their networks, ensuring that resources reach a wider audience. \n Language-Specific Content: Create dedicated sections in the repository for language-specific resources, allowing users to easily find and utilize materials in their preferred language. \n \n Conclusion \n \n Co-op Translator represents a significant advance in making multilingual project documentation. Automating the translation process, not only saves time and resources but also promotes inclusivity and collaboration across linguistic barriers. The benefits extend to developers, educators, and students, enabling them to work together more effectively in a globalized environment. \n \n References \n \n \n https://github.com/Azure/co-op-translator \n https://learn.microsoft.com/azure/ai-services/ \n https://learn.microsoft.com/azure/ai-services/openai/ \n \n 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VSCode extension allows you to produce interactive guides, assessments and tutorials.","conversation":{"__ref":"Conversation:conversation:1274297"},"id":"message:1274297","revisionNum":3,"uid":1274297,"depth":0,"board":{"__ref":"Blog:board:EducatorDeveloperBlog"},"author":{"__ref":"User:user:210546"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" VS Code extension that allows you to record and playback guided tours of codebases, directly within the editor perfect for building interactive tutorials within Visual Studio Code. ","introduction":"","metrics":{"__typename":"MessageMetrics","views":11665},"postTime":"2020-04-02T02:16:40.718-07:00","lastPublishTime":"2020-04-02T08:01:12.906-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" CodeTour is a Visual Studio Code extension, which allows you to record and playback guided walkthroughs of your codebases. It's like a step by step guide or table of contents of activities to undertake. \n \n CodeTour is perfect for the development of walkthrough, tutorials and interactive hands on lesson and guides or for use when you want to on board new teaching, learning or research partners. CodeTour will make it easier to produce interactive step by step and walkthroughs for tutorials and lesson. \n \n \n \n CodeTour is perfect for bringing students up to speed on projects and code bases or providing guided tutorials or assessments. The CodeTour extensions allows you to highlight and visualize bug reports, understand the context of a code review/PR change or simply complete a step of guide tasks to complete an assessment or assignment. \n A \"code tour\" is simply a series of interactive steps, each of which are associated with a specific file/line, and include a description of the respective code. This allows developers to clone a repo, and then immediately start learning it, without needing to refer to a CONTRIBUTING.md or tutorial instructions.md file and/or rely on help from others. Tours can either be checked into a repo, to enable sharing with other contributors, or exported to a \"tour file\", which allows anyone to replay the same tour, without having to clone any code to do it! \n \n Starting on developing your first CodeTour \n In order to start a tour, simply open up a codebase that has one or more tours. If this is the first time you've ever opened this codebase, you'll be presented with a toast notification asking if you'd like to take a tour of it. \n \n Otherwise, you can manually start a tour via any of the following methods: \n \n \n Clicking the > Start CodeTour button in the status bar \n \n \n Selecting a tour (or specific step) in the CodeTour view in the Explorer activity tab \n \n \n \n \n Running the CodeTour: Start Tour command, and selecting the tour you'd like to take \n \n \n If the current workspace only has a single code tour, then any of the above actions will automatically start that tour. Otherwise, you'll be presented with a list of tours to select from. \n \n Guide for opening a tour students interaction \n In addition to taking tours that are part of the currently open workspace, you can also open a tour file that someone else sent you and/or you created yourself. Simply run the CodeTour: Open Tour File... command and/or click the folder icon in the title bar of the CodeTour tree view. \n \n \n Note: The CodeTour tree view only appears if the currently opened workspace has any tours and/or you're currently taking a tour. \n \n \n CodeTour markers (Visual Icon in the gutter on Visual Studio Code IDE) \n As you explore a codebase, you might encounter a \"tour marker\", which displays the CodeTour icon in the file gutter. \n \n This indicates that a line of code participates in a tour for the open workspace, which makes it easier to discover tours that might be relevant to what you're currently working on or been assigned. When you see a marker, simply hover over the line and click the Start Tour link in the hover tooltip. This will start the tour that's associated with this line of code, at the specific step. \n \n \n \n If you want to disable tour markers, you can perform one of the following actions: \n \n Run the CodeTour: Hide Tour Markers command \n Click the \"eye icon\" in the title bar of the CodeTour tree view \n Set the codetour.showMarkers configuration setting to false . Note that the above two actions do this for you automatically. \n \n \n Navigating a tour (Students View) \n Once a student has started a tour, the comment UI will guide you, and includes navigation actions that allow you to perform the following: \n \n \n Move Previous - Navigate to the previous step in the current tour. This command is visible for step #2 and later. \n Move Next - Navigate to the next step in the current tour. This command is visible for all steps but the last one in a tour. \n Edit Tour - Begin editing the current tour (see authoring for details). Note that not all tours are editable, so depending on how you started the tour, you may or may not see this action. \n End Tour - End the current tour and remove the comment UI. \n \n Additionally, you can use the ctrl+right / ctrl+left (Windows/Linux) and cmd+right / cmd+left (macOS) keyboard shortcuts to move forwards and backwards in the tour. The CodeTour tree view and status bar is also kept in sync with your current tour/step, to help the developer easily understand where they're at in the context of the broader tour. \n \n \n \n If you navigate away from the current step and need to resume, you can do that via any of the following actions: \n \n Right-clicking the active tour in the CodeTour tree and selecting Resume Tour \n Clicking the CodeTour status bar item \n Running the CodeTour: Resume Tour command in the command palette \n \n At any time, you can end the current code tour by means of one of the following actions: \n \n Click the stop button (the red square) in the current step comment \n Click the stop button next to the active tour in the CodeTour tree \n Running the CodeTour: End Tour command in the command palette \n \n \n Educators and Teaching Assistants How to Author your first tours \n If you'd like to create a code tour for your codebase, assessment, assignments or labs, your first need to install the CodeTour Visual Studio Code extension. vscode:extension/vsls-contrib.codetour https://marketplace.visualstudio.com/items?itemName=vsls-contrib.codetour \n \n Getting Started \n You can simply click the + button in the CodeTour tree view (if it's visible) and/or run the CodeTour: Record Tour command. This will start the \"tour recorder\", which allows you to begin opening files, clicking the \"comment bar\" for the line you want to annotate, and then adding the respective description (including markdown!). Add as many steps as you want, and then when done, simply click the stop tour action (the red square button). \n While you're recording, the CodeTour tree view will display the currently recorded tour, and it's current set of steps. You can tell which tour is being recorded because it will have a microphone icon to the left of its name. \n \n \n \n If you need to edit or delete a step while recording, click the ... menu next to the step's description, and select the appropriate action. \n \n \n \n Creating Steps within your Tour and adding titles \n By default, the CodeTour tree displays each tour step using the following display name format: #<stepNumber> - <filePath> . However, if you'd like to give the step a more friendly name, you can edit the step's description and add a markdown heading to the top of it, using whichever heading level you prefer (e.g. # , ## , etc.). For example, if you add a step whose description starts with ### Activation , the step and tree view would look like the following: \n \n \n \n While you can any heading level for the step title, we'd recommend using ### or \"lower\" (e.g. #### ), since that provides a nice look within the step's comment UI. \n \n If you'd like to add step titles to a tour, but don't want to add markdown headings to their descriptions, you can manually set the title property for each step in the tour's underlying JSON file (which can be found in the .vscode/tours directory). See tour schema for more detials. \n \n \n Recording text selection \n By default, each step is associated with the line of code you created the comment on (i.e. the line you clicked the + on the comment bar for). However, if you want to call out a specific span of code as part of the step, simply highlight the code before you add the step (clicking the Add Tour to Step button), and the selection will be captured as part of the step. \n \n \n \n If you need to tweak the selection that's associated with a step, simply edit the step, reset the selection and then save it. \n \n Re-arranging steps within your code your \n While you're recording a tour, each new step that you add will be appended to the end of the tour. However, you can move existing steps up and down in the order by performing one of the following actions: \n \n Hover over the step in the CodeTour tree and click the up/down arrow icon \n Right-click the step in the CodeTour tree and select the Move Up or Move Down menu items \n Click the ... menu in the step comment UI and select Move Up or Move Down \n \n Additionally, if you want to add a new step in the middle of a tour, simply navigate to the step that you want to insert a new step after, and then create the new step. \n \n Deleting steps within your CodeTour \n If you no longer need a specific step in a tour, you can delete it by means of one of the following actions: \n \n Right-clicking the step in the CodeTour tree and selecting Delete Step \n Navigating to the step in the replay/comment UI, selecting the ... menu next to the comment description and selecting Delete Step \n \n \n Editing a CodeTour \n If you want to edit an existing tour, simply right-click the tour in the CodeTour tree and select Edit Tour . Alternatively, you can edit a tour you're actively viewing by clicking the pencil icon in the current step's comment bar, or running the CodeTour: Edit Tour command. \n At any time, you can right-click a tour in the CodeTour tree and change it's title, description or git ref, by selecting the Change Title , Change Description or Change Git Ref menu items. Additionally, you can delete a tour by right-clicking it in the CodeTour tree and seelcting Delete Tour . \n \n Versioning of your CodeTours \n When you record a tour, you'll be asked which git \"ref\" to associate it with. This allows you to define how resilient you want the tour to be, as changes are made to the respective codebase. This is perfect if want CodeTour for specific classes, cohort or year study groups. \n \n \n \n You can choose to associate with the tour with the following ref types: \n \n None - The tour isn't associated with any ref, and therefore, the file/line numbers in the tour might get out of sync over time. The benefit of this option is that it enables the code to be edited as part of the tour, since the tour will walk the user through whichever branch/commit they have checked out. \n Current Branch - The tour is restricted to the current branch. This can have the same resiliency challenges as None , but, it allows you to maintain a special branch for your tours that can be versioned seperately. If the end-user has the associated branch checked out, then the tour will enable them to make edits to files as its taken. Otherwise, the tour will replay with read-only files. \n Current Commit - The tour is restricted to the current commit, and therefore, will never get out of sync. If the end-user's HEAD points at the specified commit, then the tour will enable them to make edits to files as its taken. Otherwise, the tour will replay with read-only files. \n Tags - The tour is restricted to the selected tag, and therefore, will never get out of sync. The repo's entire list of tags will be displayed, which allows you to easily select one. \n \n At any time, you can edit the tour's ref by right-clicking it in the CodeTour tree and selecting Change Git Ref . This let's you \"rebase\" a tour to a tag/commit as you change/update your code and/or codebase. \n \n Format and content of the CodeTour Files \n Behind the scenes, the tour will be written as a JSON file to the .vscode/tours directory of the current workspace. This file is pretty simple and can be hand-edited if you'd like. Additionally, you can manually create tour files, by following the tour schema. You can then store these files to the .vscode/tours directory, or you can also create a tour at any of the following locations: \n \n codetour.json \n tour.json \n .vscode/codetour.json \n .vscode/tour.json \n \n \n Exporting CodeTours \n By default, when you record a tour, it is written to the currently open workspace. This makes it easy to check-in the tour and share it with the rest of the team. However, there may be times where you want to record a tour for yourself, or a tour to help explain a one-off to someone, and in those situations, you might not want to check the tour into the repo. \n So support this, after you finish recording a tour, you can right-click it in the CodeTour tree and select Export Tour . This will allow you to save the tour to a new location, and then you can delete the tour file from your repo. Furthermore, when you export a tour, the tour file itself will embed the contents of all files needed by the tour, which ensures that someone can play it back, regardless if the have the respective code available locally. This enables a powerful form of collaboration. \n \n CodeTour JSON Schema \n Within the tour file, you need to specify the following required properties: \n \n title - The display name of the tour, which will be shown in the CodeTour tree view, quick pick, etc. \n description - An optional description for the tour, which will be shown as the tooltip for the tour in the CodeTour tree view \n ref - An optional \"git ref\" (branch/tag/commit) that this tour applies to. See versioning tours for more details. \n steps - An array of tour steps\n \n file - The file path (relative to the workspace root) that this step is associated with \n uri - An absolute URI that this step is associated with. Note that uri and file are mutually exclusive, so only set one per step \n line - The 1-based line number that this step is associated with \n title - An optional title, which will be displayed as the step name in the CodeTour tree view. \n description - The text which explains the current file/line number, and can include plain text and markdown syntax \n \n \n \n For an example, refer to the .vscode/tour.json file of this repository. \n \n Tree View \n If the currently opened workspace has any code tours, or you're actively taking/recording a tour, you'll see a new tree view called CodeTour , that's added to the Explorer tab. This view simply lists the set of available code tours, along with their title and number of steps. If you select a tour it will start it, and therefore, this is simply a more convenient alternative to running the CodeTour: Start Tour command. However, you can also expand a tour and start it at a specific step, edit/delete steps, re-order steps, and change the tour's description/title/git ref. \n \n \n Additionally, the tree view will display the tour currently being recorded, which makes it easy to track your status while in the process of creating a new tour. \n \n \n The tree view is automatically kept up-to-date, as you add/edit/delete tours within the current workspace. So feel free to record and/or edit tours, and then navigate them when done. \n \n Status Bar \n In addition to the CodeTour tree view, the CodeTour extension also contributes a new status bar item called Start CodeTour to your status bar. It's only visible when the current workspace has one or more tours, and when clicked, it allows you to select a tour and then begin navigating it. \n \n While you're within a tour, the status bar will update to show the title and step of the current tour. When clicked, it will open the file/line of the current tour step, which allows you to open other files while taking a tour, and then resume the tour when ready. Once you end the current tour, the status bar will transition back to displaying the Start CodeTour button. \n \n \n If you don't want to display the status bar item, simply right-click it and select Hide CodeTour (Extension) . \n \n Contributed Commands \n In addition to the CodeTour tree view and the status bar item, the CodeTour extension also contributes the following commands to the command palette: \n \n \n CodeTour: Open Tour File... - Allows you to select a tour file that was previously exported. \n \n \n CodeTour: Record Tour - Starts the tour recorder, which allows you to create a new tour by creating a sequence of steps. \n \n \n \n \n CodeTour: Start Tour - Starts a tour for the currently opened workspace. This command is only visible if the current workspace has one or more code tours. \n \n \n CodeTour: Refresh Tours - Refreshes the CodeTour view, which can be handy if you'd created/modified/deleted tour files on disk. This command is only visible if the current workspace has one or more code tours. \n \n \n CodeTour: Hide Tour Markers - Hides tour markers. This command is only visible if the current workspace has one or more code tours, and tour markers are currently visible. \n \n \n CodeTour: Show Tour Markers - Shows tour markers. This command is only visible if the current workspace has one or more code tours, and tour markers are currently hidden. \n \n \n \n \n CodeTour: Edit Tour - Puts the currently active tour into edit more. This command is only visible while you're actively playing a tour, that you're not already editing. \n \n \n CodeTour: End Tour - Ends the currently active tour. This command is only visible while you're actively recording/playing a tour. \n \n \n CodeTour: Resume Current Tour - Resumse the current tour by navigating to the file/line number that's associated with the current step. This command is only visible while you're actively recording/playing a tour. \n \n \n \n Configuration Settings \n The CodeTour extension contributes the following settings: \n \n codetour.showMarkers - Specifies whether or not to show tour markers. Defaults to true . \n \n CodeTour Keybindings \n In addition to the available commands, the Code Tour extension also contributes the following commands, which are active while you're currently taking a tour: \n \n ctrl+right (Windows/Linux), cmd+right (macOS) - Move to the next step in the tour \n ctrl+left (Windows/Linux) cmd+left (macOS) - Move to the previous step in the tour \n \n \n CodeTour Extension API (Experimental) \n In order to enable other extensions to contribute/manage their own code tours, the CodeTour extension exposes an API with the following methods: \n \n \n startTour(tour: CodeTour, stepNumber: number, workspaceRoot: Uri, startInEditMode: boolean = false, canEditTour: boolean): void - Starts the specified tour, at a specific step, and using a specific workspace root to resolve relative file paths. Additionally, you can specify whether the tour should be started in edit/record mode or not, as well as whether the tour should be editable. Once the tour has been started, the end-user can use the status bar, command palette, key bindings and comment UI to navigate and edit the tour, just like a \"normal\" tour. \n \n \n endCurrentTour(): void - Ends the currently running tour (if there is one). Note that this is simply a programatic way to end the tour, and the end-user can also choose to end the tour using either the command palette (running the CodeTour: End Tour command) or comment UI (clicking the red square, stop icon) as usual. \n \n ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"20542","kudosSumWeight":3,"repliesCount":2,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMjc0Mjk3LTE4MTUzNWk4QzU2ODZFMjYyNURGNkZB?revision=3\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDI","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMjc0Mjk3LTE4MTUzN2lBMzI0MTRBQjVEMzY3MDhG?revision=3\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDM","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMjc0Mjk3LTE4MTU0MWlDOUIyQUNFMTU4NDRBNjNG?revision=3\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDQ","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMjc0Mjk3LTE4MTU0NGk5QTE5RjRCQjYwMkUxQzk4?revision=3\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDU","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMjc0Mjk3LTE4MTU0NWkxOUNBREE1QTdBOUE5NTI4?revision=3\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDY","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMjc0Mjk3LTE4MTU0NmkxQjBCNjIxMkRDNzQwNkNB?revision=3\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDc","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMjc0Mjk3LTE4MTU0N2kyMzI1RkE3MDZDMUVFMkFG?revision=3\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDg","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMjc0Mjk3LTE4MTU0OGkwQThDOUY3NjA5QUZENUFE?revision=3\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDk","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMjc0Mjk3LTE4MTU0OWk5QUVCNDZBMEQyMDBEODUz?revision=3\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDEw","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMjc0Mjk3LTE4MTU1MWk1MEIyMTkzNjM0MUEzRDFB?revision=3\"}"}}],"totalCount":10,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":null,"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:3855955":{"__typename":"Conversation","id":"conversation:3855955","topic":{"__typename":"BlogTopicMessage","uid":3855955},"lastPostingActivityTime":"2023-06-27T08:03:40.690-07:00","solved":false},"User:user:1506677":{"__typename":"User","uid":1506677,"login":"Neha_Hafeez","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/dS0xNTA2Njc3LTQ4Mjg2NGkxMUY3QkFDOUYxQzFFNzEx"},"id":"user:1506677"},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zODU1OTU1LTQ4Mjg2M2lEQjcwM0I2QjI1NjJCQUE3?revision=4\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zODU1OTU1LTQ4Mjg2M2lEQjcwM0I2QjI1NjJCQUE3?revision=4","title":"A Beginner's Guide for Developers.png","associationType":"TEASER","width":1920,"height":1080,"altText":null},"BlogTopicMessage:message:3855955":{"__typename":"BlogTopicMessage","subject":"Getting Started with API Management: A Beginner's Guide for Developers","conversation":{"__ref":"Conversation:conversation:3855955"},"id":"message:3855955","revisionNum":4,"uid":3855955,"depth":0,"board":{"__ref":"Blog:board:EducatorDeveloperBlog"},"author":{"__ref":"User:user:1506677"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" Discover the essentials of API management in this beginner's guide, empowering developers to streamline integration and scale their applications effectively. ","introduction":"","metrics":{"__typename":"MessageMetrics","views":14916},"postTime":"2023-06-27T00:00:00.021-07:00","lastPublishTime":"2023-06-27T00:00:00.021-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" The Role of APIs in Modern Software Development \n In the world of software development, APIs (Application Programming Interfaces) have become essential for connecting different applications and systems. They make it possible for these applications to seamlessly share data and functionality with each other. As more software projects rely on APIs, developers face the task of managing and integrating these APIs into their own applications. It may seem daunting, but with the right approach, it can be simplified and made easier to handle.API management services come to the rescue by providing developers with the tools, practices, and platforms needed to streamline the entire lifecycle of APIs. From design and development to deployment and maintenance, API management offers a centralized solution that simplifies the management process. To effectively leverage the advantages of API management, developers must have a clear understanding of the key components, best practices, and available platforms. This blog will guide developers through the process of getting started with API management, focusing on the essential aspects from a developer's perspective. \n \n Understanding API \n What is API? API Management is like having a reliable system of practices, tools, and platforms that help organizations effectively manage, secure, and optimize their APIs (Application Programming Interfaces). APIs serve as the essential connectors between different software applications, allowing them to communicate and share information seamlessly. It involves the entire lifecycle of APIs, from design and development to deployment and monitoring. API management platforms typically consist of several core components, including an API gateway, developer portal, analytics, security features, and monitoring capabilities. These components work together to streamline API usage, enhance developer experience, and enable seamless integration between systems. \n \n The significance of API management for developers can be summarized in the following points: \n \n Simplifies development by offering standardized methods and rules for integrating APIs. \n Enhances efficiency by providing well-documented APIs, code samples, and tools for faster development. \n Enables scalability, allowing applications to handle increased traffic and user demands. \n Ensures robust security through authentication, authorization, and encryption measures. \n Improves the developer experience with comprehensive API documentation and interactive sandboxes. \n Offers analytics and insights for optimizing API performance and making data-driven decisions. \n \n \n Core Components of API Management: \n API management comprises several key components that work together to provide a comprehensive solution. Let's take a closer look at each component and understand how they contribute to API management. \n \n The API Gateway acts as the entrance point for API requests, functioning like a traffic cop for incoming and outgoing API calls. It handles important tasks such as authentication, request routing, rate limiting, caching, and even protocol transformation. Think of it as a reliable gatekeeper that ensures secure and efficient communication between clients and APIs. By managing the flow of API traffic, the gateway simplifies the management of API interactions, making it easier to control and optimize their performance. \n \n The Developer Portal serves as a centralized hub where developers can access all the essential resources they need to work with APIs. It's like a one-stop shop for API documentation, code samples, and interactive tools. The developer portal empowers developers to understand and learn APIs, providing them with the necessary knowledge and tools to effectively utilize APIs in their applications. By promoting collaboration and offering a self-service environment, the developer portal enhances the developer experience and accelerates the onboarding process. \n \n Analytics and Monitoring components track and measure the usage, performance, and behavior of APIs. These components provide valuable insights into how APIs are performing, including metrics like response times, error rates, and resource utilization. With analytics and monitoring, organizations can proactively identify and address issues, optimize API performance, and make data-driven decisions. It's like having a bird's-eye view of the APIs' health, allowing teams to ensure their APIs are functioning at their best. \n \n Security components are critical in API management as they protect APIs and the sensitive data they handle. They encompass various security measures, including authentication, authorization, and encryption mechanisms. These components safeguard APIs from unauthorized access, mitigate security threats, and ensure the privacy of data transmitted through APIs. Just like a strong security system protects valuable assets, API security components play a vital role in ensuring the integrity and confidentiality of API interactions. \n \n Lifecycle Management components govern the entire lifecycle of APIs, from design to retirement. They support important activities such as versioning, deployment, and change management of APIs. With lifecycle management components, organizations can effectively manage different versions of APIs, maintain backward compatibility, and seamlessly introduce updates or retire outdated APIs. These components ensure a smooth experience for API consumers, allowing them to adapt to changes without disruptions. \n \n Choosing and Evaluating an API Management Platform \n When it comes to choosing an API management platform, it's important to carefully evaluate the available options. Let's take a closer look at three major cloud platforms - Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure - and compare their API management offerings. The table below provides a detailed comparison of key features and capabilities: \n \n \n \n \n \n \n API Service \n \n \n Performance and Scalability \n \n \n Ease of Use and Configuration \n \n \n Security and Compliance \n \n \n Pricing and Cost Considerations \n \n \n Strengths and Weaknesses \n \n \n \n \n AWS \n \n \n Excels in high availability and global reach, ensuring reliable performance \n \n \n Provides extensive documentation and developer resources for straightforward implementation \n \n \n Offers a variety of security mechanisms, including authentication and authorization options \n \n \n Offers modular pricing models, which can sometimes lead to complex pricing calculations \n \n \n Excels in scalability and global reach but may require more technical expertise for advanced configurations \n \n \n \n \n GCP \n \n \n Demonstrates robust capabilities with high throughput and low latency \n \n \n Offers a user-friendly interface and seamless integration with other GCP services, making it easy to configure and manage APIs \n \n \n Emphasizes strong security measures, including encryption and identity and access management features \n \n \n May have complex pricing structures, which may not be cost-effective for certain use cases \n \n \n Known for performance and developer-friendly features but may have complex pricing structures \n \n \n \n \n Azure \n \n \n Provides strong performance and scalability with global distribution and built-in caching capabilities \n \n \n Offers an intuitive user interface and seamless integration with other Azure services, simplifying API configuration and management \n \n \n Focuses on robust security measures, such as access control, threat protection, and compliance certifications \n \n \n Provides transparent pricing models and cost management tools, making it easier to estimate and control expenses \n \n \n Offers a user-friendly interface and robust security features but may have a steeper learning curve compared to other platforms \n \n \n \n \n \n During the evaluation process, consider factors such as ease of use, quality of documentation, community support, pricing models, and integration capabilities with other services. These aspects will help you determine which platform aligns best with your development goals. \n Selecting the right API management platform is a crucial decision as it lays the groundwork for managing and scaling your APIs effectively. Make out some time and seek help from your team and experts. Their insights will contribute to making an informed decision that suits your specific requirements. \n \n By carefully evaluating these platforms and considering your organization's needs, you can choose an API management platform that sets you up for success in effectively managing and scaling your APIs. \n \n Designing and Developing APIs for Manageability \n When designing and developing APIs, it's important to follow best practices to ensure their manageability. Adhering to REST principles, using descriptive resource naming, and striving for simplicity and consistency are key considerations in API design. These practices facilitate easier understanding, maintenance, and scalability of APIs. In terms of authentication and authorization, there are various methods to ensure secure access control. API keys, OAuth, and JWT (JSON Web Tokens) are commonly used authentication mechanisms. Proper authorization mechanisms should also be implemented to grant appropriate access privileges to users or applications interacting with the APIs. \n \n Securing and Protecting APIs \n Securing APIs is of paramount importance to protect against common security threats. Unauthorized access, injection attacks, and data breaches are some of the risks that need to be mitigated. Implementing security measures such as rate limiting, IP whitelisting and encryption can enhance API security and protect sensitive data. Secure communication is vital when transmitting data through APIs. HTTPS should be used to establish a secure channel, and SSL/TLS encryption should be enforced to protect data integrity and confidentiality. Proper certificate management ensures the authenticity and security of the communication channels. \n \n Documenting and Versioning APIs \n Comprehensive API documentation is crucial for developers to understand and effectively utilize APIs. Documentation should include essential elements such as endpoints, request/response examples, parameters, and error codes. Popular documentation tools like Swagger, OpenAPI, and API Blueprint can assist in creating clear and informative API documentation. API versioning and lifecycle management are essential to manage changes and maintain compatibility. Different versioning approaches, such as URL versioning, version headers, and semantic versioning, can be adopted. It's important to deprecate old versions while ensuring backward compatibility to ensure a smooth transition for API consumers. \n \n Monitoring and Analytics \n Monitoring tools play a vital role in tracking API performance, including response times, error rates, and resource utilization. By setting up alerts and notifications, issues can be identified and addressed promptly, ensuring optimal API performance and availability. API analytics provide valuable insights into usage patterns, user behavior, and performance optimization opportunities. Leveraging analytics data allows for capacity planning and data-driven decision-making, ultimately improving the overall API ecosystem. \n \n Conclusion: \n By implementing these practices, you now have the knowledge and tools to enhance your development process through efficient API management. You can confidently choose the right API management platform, design APIs for easy management, ensure their security, and create comprehensive documentation. Monitoring and analytics will help you optimize performance and provide exceptional user experiences. Remember to keep exploring and refining your API management skills as you continue your journey in software development. Implementing these practices will open up new possibilities and enable you to deliver software experiences that meet the needs of your users. Stay curious, stay motivated, and enjoy the process of mastering API management. Each step you take will bring you closer to innovation and success in your development endeavors. \n \n Additional References \n API authentication and authorization - Overview - Azure API Management | Microsoft Learn \n Azure API Center (preview) - Overview | Microsoft Learn \n API gateways - Azure Architecture Center | Microsoft Learn \n API Management documentation | Microsoft Learn \n \n \n \n \n Written by \n Neha Hafeez, Pakistan \n Gold Microsoft Learn Student Ambassador \n Software Engineering Student Fatima Jinnah Women University 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