| # Sprint 5 (MVP 1): Final Testing, Documentation, and Deployment Prep | |
| ## Sprint Overview | |
| - **Goal:** Thoroughly test the completed MVP 1, write comprehensive documentation, ensure all code is clean and CI is passing, and prepare the application for deployment to a Hugging Face Space. | |
| - **Duration:** Estimated 2-4 hours (flexible within Hackathon Day 2). | |
| - **Core Primitives Focused On:** Finalizing the demonstration of Tool discovery. | |
| - **Key Artifacts by End of Sprint:** | |
| - A robust, well-tested `app.py` for MVP 1 | |
| - A comprehensive `README.md` in the GitHub repository | |
| - A `README.md` specifically formatted for the Hugging Face Space | |
| - All necessary configuration files for Hugging Face Space deployment | |
| - Confirmation that the app runs correctly when launched as it would be on a Space | |
| - Final CI pass | |
| --- | |
| ## Task List | |
| ### Task 5.1: Comprehensive End-to-End Testing & Bug Fixing | |
| - **Task ID:** 20 | |
| - **Status:** Todo | |
| - **Dependencies:** Task 19 (Task 4.4: Update Dependencies & Run All Checks) | |
| - **Description:** | |
| 1. Perform rigorous testing of the Gradio application (`app.py`). | |
| - Test with a wider variety of queries, including longer ones, ambiguous ones, and some with typos | |
| - Test edge cases for the `InMemoryKG` (e.g., malformed `data/initial_tools.json`) | |
| - Test UI responsiveness and browser console for JavaScript errors | |
| - Test in a clean environment to ensure all dependencies are captured | |
| 2. Identify and fix any bugs or unexpected behaviors found during testing. | |
| - **Acceptance Criteria:** | |
| 1. Application is stable and handles a variety of inputs gracefully | |
| 2. Known critical bugs are fixed | |
| 3. User experience is smooth for the defined MVP1 scope | |
| - **Test Scenarios:** | |
| - **Strong Match Query:** "I need sentiment analysis for customer feedback" | |
| - **Ambiguous Query:** "Help me with text processing" | |
| - **Generic Query:** "I need a tool" | |
| - **Unrelated Query:** "How do I cook pasta?" | |
| - **Typo Query:** "I need sentimnt anaylsis" | |
| - **Edge Cases to Test:** | |
| - Missing `data/initial_tools.json` file | |
| - Empty or malformed JSON data | |
| - Missing or invalid API keys | |
| - Network connectivity issues | |
| - Large input queries | |
| - Special characters and Unicode | |
| ### Task 5.2: Finalize Project README.md for GitHub | |
| - **Task ID:** 21 | |
| - **Status:** Todo | |
| - **Dependencies:** Task 20 completion | |
| - **Description:** Review and expand the `README.md` to accurately reflect MVP 1's functionality and align with the hackathon report. Include: | |
| - Clear Project Title & Hackathon Context | |
| - Concise Description of MVP 1 | |
| - "How KGraph-MCP (MVP1) Works" section (brief architecture, data flow) | |
| - "Our Development Process" (mentioning Cursor, Claude, `uv`, iterative sprints) | |
| - "Technologies Used" (Python, Gradio, `uv`, specific LLM for embeddings) | |
| - "How to Run Locally" (clear `uv`-based instructions) | |
| - "Sponsor Technologies Utilized" (specifically which API credits were used) | |
| - "Future Vision / Next Steps" (briefly what MVP2+ and the larger project aim for) | |
| - Link to the (upcoming) Hugging Face Space | |
| - **Acceptance Criteria:** | |
| 1. `README.md` is comprehensive, accurate for MVP1, and well-formatted | |
| 2. All specified sections are present and clearly articulated | |
| 3. Instructions are tested and verified to work | |
| 4. Professional presentation suitable for hackathon judges | |
| ### Task 5.3: Prepare README.md for Hugging Face Space | |
| - **Task ID:** 22 | |
| - **Status:** Todo | |
| - **Dependencies:** Task 21 completion | |
| - **Description:** Create or adapt a `README.md` specifically for the Hugging Face Space hosting the Gradio app. This involves: | |
| - Adding the required hackathon track tag (e.g., `agent-demo-track`) | |
| - Ensuring specific metadata Hugging Face Spaces uses is correctly specified | |
| - Making sure "How to Use" is very clear for someone just landing on the Space | |
| - Linking back to the GitHub repository | |
| - **Required YAML Frontmatter:** | |
| ```yaml | |
| --- | |
| title: KG-Powered MCP Tool Suggester (MVP1) | |
| emoji: 🧠🛠️ | |
| colorFrom: indigo | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: 5.33.0 | |
| python_version: 3.11.8 | |
| app_file: app.py | |
| pinned: false | |
| hf_oauth: false | |
| hf_storage: false | |
| hf_cookies: false | |
| datasets: [] | |
| models: [] | |
| tags: | |
| - "agents-mcp-hackathon" | |
| - "agent-demo-track" | |
| - "mcp" | |
| - "knowledge-graph" | |
| - "ai-agents" | |
| - "gradio" | |
| --- | |
| ``` | |
| - **Acceptance Criteria:** | |
| 1. A Space-ready `README.md` is prepared with proper YAML frontmatter | |
| 2. Includes necessary Hugging Face metadata and hackathon tags | |
| 3. Clear, concise description suitable for Space visitors | |
| 4. Easy-to-follow usage instructions | |
| ### Task 5.4: Final Code Review & Cleanup | |
| - **Task ID:** 23 | |
| - **Status:** Todo | |
| - **Dependencies:** Task 22 completion | |
| - **Description:** | |
| 1. Review all Python code written for MVP1 (`app.py`, `kg_services/`, `agents/`) | |
| 2. Remove any unused imports, commented-out dead code, or unnecessary print statements | |
| 3. Ensure docstrings and comments are clear and up-to-date | |
| 4. Double-check error handling, especially around API calls and file loading | |
| - **Files to Review:** | |
| - `app.py` | |
| - `kg_services/ontology.py` | |
| - `kg_services/knowledge_graph.py` | |
| - `kg_services/embedder.py` | |
| - `agents/planner.py` | |
| - **Review Checklist:** | |
| - [ ] Remove unused imports | |
| - [ ] Remove commented-out dead code | |
| - [ ] Keep essential print statements for debugging | |
| - [ ] Verify docstrings are adequate and current | |
| - [ ] Check try-except blocks for proper error handling | |
| - [ ] Ensure consistent code style | |
| - [ ] Verify type hints are present and accurate | |
| - **Acceptance Criteria:** | |
| 1. Codebase is clean, well-commented, and free of dead code | |
| 2. All functions and classes have adequate docstrings | |
| 3. Error handling is comprehensive and appropriate | |
| ### Task 5.5: Prepare for Deployment to Hugging Face Space | |
| - **Task ID:** 24 | |
| - **Status:** Todo | |
| - **Dependencies:** Task 23 completion | |
| - **Description:** | |
| 1. Ensure `requirements.txt` is minimal and contains all necessary runtime dependencies | |
| 2. Ensure API keys needed by `EmbeddingService` are planned to be set as **Secrets** in the Hugging Face Space settings | |
| 3. Test running the app locally using the command that Hugging Face Spaces would use | |
| 4. Create deployment documentation and secret management guide | |
| - **Requirements.txt Dependencies:** | |
| - `gradio>=5.33.0` | |
| - `fastapi>=0.115.0` | |
| - `uvicorn>=0.31.0` | |
| - `openai>=1.8.0` | |
| - `numpy>=1.21.0` | |
| - `pydantic>=2.11.0` | |
| - `python-dotenv>=1.0.0` (for local development) | |
| - **Secret Management Plan:** | |
| - `OPENAI_API_KEY` must be set as a Secret in HF Space settings | |
| - Update `.env.example` to reflect required environment variables | |
| - Document the secret setup process for deployment | |
| - **Acceptance Criteria:** | |
| 1. `requirements.txt` is finalized for deployment | |
| 2. Plan for managing API key secrets on Hugging Face Spaces is clear | |
| 3. App is confirmed to run with a simple `python app.py` | |
| 4. Deployment documentation is complete | |
| ### Task 5.6: Final Checks & CI Pass | |
| - **Task ID:** 25 | |
| - **Status:** Todo | |
| - **Dependencies:** Task 24 completion | |
| - **Description:** | |
| 1. Run `just install` one last time | |
| 2. Run `just lint`, `just format`, `just type-check`, `just test` locally | |
| 3. Commit all final changes | |
| 4. Push to GitHub and ensure the CI pipeline passes cleanly | |
| - **Final Checklist:** | |
| - [ ] `just install` - Dependencies updated | |
| - [ ] `just lint` - Code linting passed | |
| - [ ] `just format` - Code formatting applied | |
| - [ ] `just type-check` - Type checking passed | |
| - [ ] `just test` - All tests passing | |
| - [ ] All changes committed with conventional commit messages | |
| - [ ] GitHub CI pipeline green | |
| - [ ] MVP1 ready for deployment and submission | |
| - **Acceptance Criteria:** | |
| 1. All local checks pass | |
| 2. All code is committed and pushed | |
| 3. GitHub Actions CI pipeline is green | |
| 4. MVP1 is considered "feature complete" and ready for deployment/submission | |
| --- | |
| ## Sprint 5 Success Criteria | |
| By the end of Sprint 5, we will have: | |
| ### ✅ **Production-Ready MVP 1** | |
| - Thoroughly tested application with comprehensive edge case coverage | |
| - Clean, well-documented codebase ready for production | |
| - Robust error handling and user experience | |
| - All quality gates passing | |
| ### ✅ **Complete Documentation** | |
| - Professional GitHub README with full project details | |
| - Hugging Face Space README with proper metadata and tags | |
| - Clear deployment and usage instructions | |
| - Comprehensive development process documentation | |
| ### ✅ **Deployment Readiness** | |
| - Finalized requirements.txt for Hugging Face Spaces | |
| - API key management strategy documented | |
| - Local deployment verified and tested | |
| - CI/CD pipeline green and stable | |
| ### ✅ **Hackathon Submission Ready** | |
| - Application meets all Track 3 requirements | |
| - Professional presentation materials ready | |
| - Demo scenarios tested and verified | |
| - Future roadmap clearly articulated | |
| --- | |
| ## End of Sprint 5 & MVP 1 Review | |
| ### **What's Done:** | |
| - Hackathon MVP 1 ("KG-Powered Tool Suggester") is complete, tested, and documented | |
| - The Gradio app demonstrates semantic search for MCP tools based on an in-memory KG | |
| - The project is ready for deployment to a Hugging Face Space and submission for Track 3 | |
| - The foundation is set for subsequent, more complex MVPs | |
| ### **What's Next (Post-MVP1 / Hackathon MVP 2):** | |
| - Deploy MVP1 to a Hugging Face Space | |
| - Start planning/implementing MVP2 ("KG Suggests Actionable Tool with Prompt Template") | |
| - Gather feedback from hackathon judges and community | |
| - Iterate on the architecture based on real-world usage | |
| ### **Key Achievements:** | |
| - ✅ Fully functional semantic tool discovery system | |
| - ✅ Professional-grade documentation and presentation | |
| - ✅ Production-ready deployment configuration | |
| - ✅ Comprehensive testing and quality assurance | |
| - ✅ Clear roadmap for future development | |
| This sprint ensures that MVP1 is not just functional but also well-packaged, documented, and ready for the world (and hackathon judges) to see! | |
| --- | |
| **Sprint Priority:** HIGH - This is the final sprint before hackathon submission | |
| **Risk Level:** LOW - Building on solid foundation from Sprint 4 | |
| **Confidence:** HIGH - Clear tasks with well-defined outcomes |