Specif-ai MCP Server

{ "features": [ { "id": "US1", "name": "Search Videos by Keywords, Channels, or Tags", "description": "Ability to search for videos using keywords, channel names, or tags. In order to quickly find relevant videos or creators. As a user, I want to use a search bar to input my query and get precise relevant results. Acceptance Criteria: The search bar must allow free text input with a visible placeholder indicating 'Search by keywords, channels, or tags.' The system should initiate a search when the user submits their query by pressing 'Enter' or clicking a 'Search' button. Search results must be displayed in a paginated or scrollable format sorted by relevance. If no results are found, the system should display a message saying 'No results found for [query].' Invalid or empty inputs must trigger appropriate error notifications.", "tasks": [ { "list": "Implement Angular search bar with free text input and placeholder", "acceptance": "Create a search bar component in Angular that allows users to enter free text input. Set the placeholder text to 'Search by keywords, channels, or tags.' Ensure the component detects input changes. Acceptance Criteria: The search bar displays properly and includes the specified placeholder text. Free text input is possible, and keystrokes are captured without errors.", "id": "TASK1" }, { "list": "Add search trigger on 'Enter' key or 'Search' button click", "acceptance": "Add an event listener to the search bar component for the 'Enter' key. Add a 'Search' button adjacent to the input field. Define and trigger a search function in the component when either the key is pressed or the button is clicked. Acceptance Criteria: Search function is triggered on pressing 'Enter' or clicking the 'Search' button. Event listeners operate without errors.", "id": "TASK2" }, { "list": "Create a backend API endpoint to handle search queries", "acceptance": "Develop a Rust-based backend API endpoint (e.g., `GET /search?q=[]`) that receives the query string and identifies whether it corresponds to keywords, channel names, or tags. Validate the input for empty or invalid values before processing. Acceptance Criteria: The endpoint properly handles query strings with validations. It returns relevant data or an error response when inputs are empty or invalid.", "id": "TASK3" }, { "list": "Create filtering logic in the backend for search by keywords, channels, and tags", "acceptance": "Implement logic in the Rust backend to process the search query. Match against keywords, channel names, and tags to fetch relevant video results from the database or existing storage. Sort results by relevance. Acceptance Criteria: Backend filtering logic successfully retrieves and sorts results relevant to the query. Ensures no results are returned for unmatched queries.", "id": "TASK4" }, { "list": "Implement pagination or scrollable response for search results", "acceptance": "Add pagination or infinite scrolling for results returned by the Rust backend. Ensure the number of results per page or batch is configurable. Include necessary query parameters, such as offset or page index. Acceptance Criteria: Paginated or scrollable results are returned with corresponding metadata (e.g., current page, total pages). Backend handles pagination parameters without failing.", "id": "TASK5" }, { "list": "Display search results in Angular frontend", "acceptance": "Parse the paginated results from the backend API and render them in a results view. Format each entry with thumbnail, title, and relevant metadata. Acceptance Criteria: Results appear in the UI in the correct format. Pagination or scrolling works as expected, with new data loaded from the backend on user interaction.", "id": "TASK6" }, { "list": "Handle 'No results found' message on both frontend and backend", "acceptance": "Update the Rust backend to return an empty array and a message ('No results found for [query]') when no matching results are found. Update the Angular UI to interpret this message and display it to the user. Acceptance Criteria: The user sees a 'No results found for [query]' message when the query produces no results. Both backend and frontend handle this scenario without errors.", "id": "TASK7" }, { "list": "Implement error notification for invalid or empty inputs", "acceptance": "Add input validation in the Angular component to detect and block empty or invalid inputs (e.g., special characters only). Update Rust backend to validate inputs and return appropriate error codes (e.g., 400 Bad Request). Display error messages on the UI. Acceptance Criteria: Invalid or empty input triggers a validation error message without initiating the search. Errors are properly handled on the backend and conveyed to the UI.", "id": "TASK8" }, { "list": "Optimize relevance-based sorting logic in the backend", "acceptance": "Enhance the sorting algorithm in the Rust backend to prioritize more relevant videos based on predefined factors (e.g., keyword frequency, channel priority, tag match accuracy). Acceptance Criteria: Results returned by the backend are sorted in order of relevance. Sorting performance meets expected latency thresholds for typical query loads.", "id": "TASK9" }, { "list": "Write unit and integration tests for Angular search functionality", "acceptance": "Develop unit tests for the Angular search component to verify input validation, event triggering, and result display logic. Create integration tests to validate that results are fetched and rendered correctly from the backend. Acceptance Criteria: All unit and integration tests pass. Tests confirm that the search functionality works end-to-end.", "id": "TASK10" }, { "list": "Write unit and integration tests for Rust backend search API", "acceptance": "Write unit tests for the Rust query handling and filtering logic. Write integration tests to ensure correct communication between the frontend and backend APIs, covering all search scenarios (valid query, no results, invalid input). Acceptance Criteria: Tests pass for all valid and invalid search scenarios. API behavior is correctly validated under different input conditions.", "id": "TASK11" } ] }, { "id": "US2", "name": "Display Predictive Suggestions in Search Bar", "description": "Ability to dynamically display predictive suggestions as the user types. In order to enhance search efficiency and provide relevant search recommendations. As a user, I want to see suggestions for videos, channels, or tags matching my input in the search bar. Acceptance Criteria: Predictive suggestions must appear in a dropdown below the search bar as the user types. Suggestions should dynamically update in real-time, showing a mix of matching video titles, channel names, and popular tags. Clicking on a suggestion should auto-fill the search bar and initiate the search. Suggestions should prioritize popular or trending matches alongside relevance. The dropdown should display 'No suggestions available' if none match.", "tasks": [ { "list": "Implement backend API to fetch predictive suggestions based on user input", "acceptance": "Develop a Rust-based API endpoint to dynamically fetch video titles, channel names, and popular tags matching the input search string in real-time. Acceptance Criteria: The API must accept the user search query as input, prioritize popular/trending matches alongside relevance, and return a JSON response containing suggestions or an empty list if no matches are found.", "id": "TASK1" }, { "list": "Add real-time search query change listener in Angular component", "acceptance": "Implement a listener in the Angular search bar component to detect changes in the input field. Acceptance Criteria: The listener must capture every keystroke and emit the input value for processing in real-time without delays.", "id": "TASK2" }, { "list": "Integrate search bar component with predictive suggestions API", "acceptance": "Send the captured search input from the Angular search bar listener to the Rust backend API and handle the response. Acceptance Criteria: Ensure proper API integration, with error handling for network or server-side issues. Validate that the response is parsed correctly and is ready for the dropdown component.", "id": "TASK3" }, { "list": "Create dropdown UI component to display predictive suggestions", "acceptance": "Design and implement an Angular dropdown component that displays video titles, channel names, and popular tags based on the API response. Acceptance Criteria: Ensure entries are properly formatted, dynamically updated in real-time, and display 'No suggestions available' if the response contains an empty list.", "id": "TASK4" }, { "list": "Implement ranking logic for sorting suggestions in dropdown", "acceptance": "Apply ranking logic on the API response in Angular to prioritize popular or trending matches alongside relevance. Acceptance Criteria: Verify that suggestions are displayed in the correct order (popular matches first, followed by relevant matches).", "id": "TASK5" }, { "list": "Handle dropdown interaction to populate search bar on suggestion click", "acceptance": "Implement click-handling logic to auto-fill the search bar with the selected suggestion from the dropdown and initiate a search query. Acceptance Criteria: Verify that the selected suggestion replaces the current input value, and verify a subsequent search API call is triggered.", "id": "TASK6" }, { "list": "Optimize API calls to limit redundant requests", "acceptance": "Debounce user keystroke inputs in Angular to avoid unnecessary frequent API requests. Acceptance Criteria: Ensure API requests are sent only after a specified delay when the user stops typing and cancel pending requests for faster inputs.", "id": "TASK7" }, { "list": "Test predictive suggestions for edge cases and error scenarios", "acceptance": "Write unit and integration tests to validate the end-to-end functionality of the predictive suggestions feature. Acceptance Criteria: Ensure tests cover edge cases such as empty input, no matching suggestions, API errors, rapidly changing inputs, and verify dropdown rendering integrity for all cases.", "id": "TASK8" } ] }, { "id": "US3", "name": "Rank and Filter Search Results", "description": "Ability to rank search results by relevance and provide filtering options. In order to streamline finding the most suitable content. As a user, I want search results to prioritize the most relevant videos for my query and have options to refine the results. Acceptance Criteria: Results should display video thumbnails, titles, descriptions, and channel names and be ranked by query match, recency, view count, and engagement metrics. Users must have filters to refine results based on upload date, view count, or channel. Sorting options for results should include alphabetical, by recency, or by popularity. The interface must show filtering and sorting options visibly and ensure an initial load time of only a few seconds.", "tasks": [ { "list": "Implement backend Rust functionality to retrieve and rank search results", "acceptance": "Create a Rust function to retrieve video search results and rank them based on query match, recency, view count, and engagement metrics. Use a predefined ranking algorithm for this purpose. Ensure the function can take a user query as input and return a list of video metadata (thumbnails, titles, descriptions, channel names, rank score). Acceptance Criteria: Search results are ranked correctly based on the specified metrics; output contains all required metadata fields.", "id": "TASK1" }, { "list": "Implement backend filtering functionality for search results in Rust", "acceptance": "Develop a Rust function to filter the search results based on upload date, view count, or channel. The function should take filtering parameters as input and apply them to the ranked search results from TASK1. Acceptance Criteria: Filtering options (upload date, view count, channel) work as expected; only results meeting filter criteria are returned.", "id": "TASK2" }, { "list": "Implement sorting functionality for search results in Rust", "acceptance": "Develop a Rust function to sort the search results based on alphabetical order, recency, or popularity. The function should accept sorting criteria and restructure the results accordingly. Acceptance Criteria: Sorting options (alphabetical, by recency, popularity) correctly reorder the results; output adheres to the sorting criteria provided by the user.", "id": "TASK3" }, { "list": "Design and implement Angular UI to display search results", "acceptance": "Create an Angular component to display video search results with their thumbnails, titles, descriptions, and channel names in a responsive grid layout. Results are visually ranked. Include pagination for large result sets. Acceptance Criteria: Results display correctly with all required metadata; UI renders responsively; ranked results are distinguishable by ordering.", "id": "TASK4" }, { "list": "Create Angular UI components for filtering options", "acceptance": "Develop Angular UI components to provide filtering options (upload date, view count, channel) on the search results page. Filtering components should be prominently placed and update displayed results dynamically as filters are applied. Acceptance Criteria: Users can easily apply filtering options; filtered results are reflected without page reload.", "id": "TASK5" }, { "list": "Create Angular UI components for sorting options", "acceptance": "Develop Angular UI components to provide sorting options (alphabetical, by recency, popularity) on the search results page. Sorting components should dynamically update the results display based on user selection. Acceptance Criteria: Users can apply sorting options easily; results are rearranged immediately based on the selected sort order.", "id": "TASK6" }, { "list": "Integrate backend search functionality with Angular frontend", "acceptance": "Connect the Angular search interface with the Rust backend endpoints. Ensure that queries, sorting, and filtering options are sent as parameters to the backend and the results are dynamically updated on the frontend. Acceptance Criteria: Query, sorting, and filtering actions from the frontend correctly call the relevant backend Rust functions and display results on the UI.", "id": "TASK7" }, { "list": "Optimize Rust backend for search performance and initial load time", "acceptance": "Optimize Rust backend processes to ensure search results are fetched and ranked within a few seconds. Include caching mechanisms for high-demand queries and precompute frequently used ranking/filters if needed. Acceptance Criteria: Initial search load time meets the performance requirement of only a few seconds.", "id": "TASK8" }, { "list": "Validate and handle user input for search, filtering, and sorting", "acceptance": "Ensure that all user inputs (query, filter criteria, sorting criteria) are properly validated in the Rust backend. Handle errors for invalid or malformed inputs gracefully and return meaningful error messages to the frontend. Acceptance Criteria: Invalid inputs are handled securely and do not crash the system; appropriate error messages are returned to the frontend.", "id": "TASK9" }, { "list": "Implement feature-specific unit and integration tests for backend", "acceptance": "Develop unit tests in Rust to verify the functionality of search result ranking, filtering, and sorting functions. Create integration tests to ensure correct interactions between these components. Acceptance Criteria: All test cases for ranking, filtering, and sorting logic pass successfully; integration tests validate correct end-to-end behavior.", "id": "TASK10" }, { "list": "Implement feature-specific unit tests for Angular components", "acceptance": "Develop unit tests for Angular components related to displaying search results, filters, and sorting options. Ensure test coverage includes UI rendering and user interaction scenarios. Acceptance Criteria: All test cases for UI components pass successfully; required functionality of components is verified.", "id": "TASK11" }, { "list": "Conduct performance testing and fine-tune for scalability", "acceptance": "Run performance tests for the combined Rust backend and Angular frontend to ensure the system handles high query loads efficiently. Identify bottlenecks and optimize as needed. Acceptance Criteria: Search operations remain performant under load; filtering, sorting, and ranking adhere to acceptable response times even with large datasets.", "id": "TASK12" } ] }, { "id": "US4", "name": "Present Search Results in a Discoverable Layout", "description": "Ability to display results in an intuitive, visually accessible layout. In order to browse and explore content quickly. As a user, I want a user-friendly interface to view search results and navigate them easily. Acceptance Criteria: Results must be organized visually in a grid or list format with pagination or infinite scrolling for seamless navigation. Each result should feature clickable elements like video thumbnails and titles. Metadata such as duration, views, and likes should be visible and accessible. The screen must offer a clearly visible option to refine the search or return to the search bar for new queries. Clicking on any item should navigate users seamlessly to the appropriate video details.", "tasks": [ { "list": "Create a Grid and List Layout Component for Search Results", "acceptance": "Develop an Angular component to display search results in a switchable grid and list format. Ensure the layout is visually accessible. Acceptance Criteria: The component must render results in both grid and list formats based on a toggle. Each result should feature a clickable thumbnail, title, and metadata. Metadata must include duration, views, and likes displayed appropriately.", "id": "TASK1" }, { "list": "Implement Pagination or Infinite Scroll Feature", "acceptance": "Develop functionality within the Angular component to support either pagination or infinite scrolling for search results. Acceptance Criteria: Pagination buttons or infinite scroll behavior must appear based on the search results count. The component must load additional results seamlessly when navigating pages or scrolling. Ensure the design is visually consistent and intuitive.", "id": "TASK2" }, { "list": "Create Backend API for Paginated Search Results", "acceptance": "Write a Rust API endpoint to return paginated search results, including video thumbnails, titles, duration, views, and likes. Acceptance Criteria: Endpoint must support query parameters for pagination (e.g., `page` and `page_size`). It must return JSON data with metadata for each video (duration, views, likes). It should handle errors gracefully, such as invalid pagination parameters.", "id": "TASK3" }, { "list": "Integrate Backend Search Results API with Frontend", "acceptance": "Connect the Angular frontend to the Rust backend API to fetch search results. Acceptance Criteria: The frontend must send appropriate pagination parameters to the backend API and render the results retrieved. Handle errors such as network failures gracefully by displaying appropriate error messages to the user.", "id": "TASK4" }, { "list": "Add Clickable Navigation to Video Details Page", "acceptance": "Implement navigation functionality to the video details page when clicking on any result's thumbnail or title. Acceptance Criteria: Clicking on a video should navigate to the video details page with the correct video ID passed as a route parameter. Ensure smooth transitions and no page reloads.", "id": "TASK5" }, { "list": "Display Search Refinement Options", "acceptance": "Develop Angular UI elements for search refinement, allowing users to refine their queries or return to the search bar. Acceptance Criteria: A clearly visible search bar and refinement options must appear on the results screen. Submitting a new query or modifying filters must trigger a new backend request to fetch updated results.", "id": "TASK6" }, { "list": "Optimize Search Metadata Accessibility", "acceptance": "Ensure that metadata (duration, views, and likes) on each search result is accessible via both visual and assistive technologies. Acceptance Criteria: Metadata elements must include appropriate ARIA attributes and semantic HTML structures. Verify that screen readers correctly interpret the information.", "id": "TASK7" }, { "list": "Test Grid/List Layout Component and API Integration", "acceptance": "Write unit and integration tests to verify the proper rendering of search results in grid and list formats and validate API communication. Acceptance Criteria: Tests must cover the rendering of clickable elements, display of metadata, and pagination/infinite scrolling functionality. Verify that API responses are correctly rendered on the frontend.", "id": "TASK8" } ] }, { "id": "US5", "name": "Navigate to Linked Channels or Tags from Results", "description": "Ability to explore channels or tags directly from the search results. In order to discover related content quickly. As a user, I want to click on associated channels or tags in the results to navigate to relevant content. Acceptance Criteria: Each search result must include clickable channel names or icons that link to the channel's page. Tags displayed in results must be clickable, leading to a new search filtered by the tag. Results relevant to the clicked tag or channel should load consistently with minimal delay. If a channel or tag has no content, the system must display a 'No content available' message.", "tasks": [ { "list": "Add clickable channel links in search result template", "acceptance": "Modify the Angular search result template to include channel names/icons as clickable links. Ensure that the channel links are dynamically generated and point to each channel’s respective page based on the channel ID. Acceptance Criteria: Each search result must display a clickable channel name or icon. Clicking the channel link must navigate to the corresponding channel page.", "id": "TASK1" }, { "list": "Add clickable tags in search result template", "acceptance": "Modify the Angular search result template to include clickable tags. Ensure that each tag dynamically links to a search page filtered by the respective tag name. Acceptance Criteria: Each search result must display clickable tags. Clicking a tag must trigger a new search filtered by the clicked tag.", "id": "TASK2" }, { "list": "Implement navigation to channel page in Angular routing", "acceptance": "Update the Angular routing configuration to handle navigation to channel-specific pages based on channel ID. Implement and test routing logic to display the correct channel content on navigation. Acceptance Criteria: Clicking a channel link must dynamically navigate to the channel’s specific page. The URL path must follow the appropriate format for channel pages, e.g., '/channel/:id'.", "id": "TASK3" }, { "list": "Implement tag-based filtered search logic in Rust backend", "acceptance": "Add a new endpoint or extend existing ones in the Rust backend to support tag-based filtering for search results. Ensure that the API returns results filtered by the clicked tag. Acceptance Criteria: On clicking a tag, a filtered search query should be sent to the backend. The Rust backend must handle the request and return the corresponding filtered results for the clicked tag.", "id": "TASK4" }, { "list": "Display filtered results for tags in Angular search results page", "acceptance": "Update the Angular search results page to handle tag-filtered responses from the backend. Ensure that clicking a tag updates the displayed results dynamically without breaking other functionalities. Acceptance Criteria: When navigating a tag, the Angular frontend must display search results filtered by the clicked tag. The new results must render dynamically with no page reloads.", "id": "TASK5" }, { "list": "Error handling for channels or tags with no content in Angular", "acceptance": "Update the Angular templates to display a 'No content available' message when navigation to a channel or tag with no results occurs. Ensure the message dynamically replaces the results section if no data is present. Acceptance Criteria: When a user navigates to a channel or tag with no content, a 'No content available' message must display in the results section.", "id": "TASK6" }, { "list": "Add backend validation for empty channel or tag results in Rust", "acceptance": "Update the Rust backend API to validate content availability for the requested channel page or tag-filtered search. Return a specific status/message when no results are found. Acceptance Criteria: If a channel or tag query returns no results, the API must return a 'No content available' status/message. The response must integrate with the Angular frontend to display the message appropriately.", "id": "TASK7" }, { "list": "Optimize backend API for minimal delay with filtered results in Rust", "acceptance": "Analyze and optimize the Rust backend API's search endpoint to ensure minimal delays when returning results for clicked tags or navigation to specific channels. Validate changes with performance benchmarks. Acceptance Criteria: The backend must deliver search results for tags or channels consistently with minimal delay. Performance benchmarks must confirm acceptable latency limits.", "id": "TASK8" }, { "list": "Unit test clickable links and navigation behavior in Angular", "acceptance": "Implement unit tests for the Angular components responsible for clickable links (channels and tags) and navigation behavior. Test that valid links trigger the correct navigation, and verify error handling for invalid links. Acceptance Criteria: All automated unit tests for clickable links and navigation behavior must pass, including navigation scenarios for valid/invalid channels and tags.", "id": "TASK9" }, { "list": "Unit test tag filtering and validation in Rust backend", "acceptance": "Write unit tests for the Rust backend search functionality to validate tag-based filtering and error handling for scenarios with no results. Acceptance Criteria: All automated unit tests for tag-filtered search functionality must pass, including validations for empty results and proper API responses for valid/invalid queries.", "id": "TASK10" } ] } ] }