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**First, read these in order:**
# ๐ MedSecure Portfolio Project - Complete File Index ## ๐ START HERE **First, read these in order:** 1. `PROJECT_COMPLETE.md` โ You are here 2. `PORTFOLIO_SETUP.md` โ Quick-start guide 3. `EXECUTION_PIPELINE.md` โ 10-phase roadmap --- ## ๐ Documentation Files ### Primary Documentation - **`PROJECT_COMPLETE.md`** โ This file. Project completion status, file manifest, success criteria - **`PORTFOLIO_SETUP.md`** โ Quick-start guide, API examples, environment setup - **`EXECUTION_PIPELINE.md`** โ Complete 10-phase development roadmap with detailed instructions - **`DEVELOPMENT_NOTES.md`** โ Architecture decisions, design patterns, best practices - **`README.md`** โ Technical overview and project structure ### Configuration - **`.env.example`** โ Environment variable template (copy to `.env`) - **`requirements.txt`** โ Python dependencies (18 packages) --- ## ๐ฏ Application Core (FastAPI) ### Entry Point - **`app/main.py`** โ FastAPI app initialization, router mounting ### API Layer - **`app/api/__init__.py`** โ Package marker - **`app/api/routes.py`** โ Two endpoints (POST/GET summaries) with RBAC ### Data Models - **`app/schemas/__init__.py`** โ Package marker - **`app/schemas/models.py`** โ Pydantic SummaryRequest/SummaryResponse models --- ## ๐ Core Infrastructure ### Configuration & Settings - **`app/core/__init__.py`** โ Package marker - **`app/core/config.py`** โ Settings class, environment loading - **`app/core/logging.py`** โ Loguru setup, @log_call decorator - **`app/core/security.py`** โ RBAC require_role() decorator, role enforcement --- ## ๐ง Services (Pipeline Components) ### Pipeline Services - **`app/services/__init__.py`** โ Package marker - **`app/services/pipeline.py`** โ Main orchestrator (runs all steps in sequence) - **`app/services/pii_masking.py`** โ PII detection & masking (regex-based) - **`app/services/ner.py`** โ Named Entity Recognition (spaCy integration) - **`app/services/summarizer.py`** โ Text summarization (Llama-3 placeholder) - **`app/services/verification.py`** โ Hallucination detection (verification agent) - **`app/services/storage.py`** โ MongoDB CRUD operations --- ## ๐ค Machine Learning ### ML & Training - **`app/ml/__init__.py`** โ Package marker - **`app/ml/finetune.py`** โ PEFT/LoRA fine-tuning stub (Llama-3 ready) - **`app/ml/evaluation.py`** โ Evaluation metrics & quality checks stub --- ## ๐ณ Deployment & DevOps ### Containerization - **`Dockerfile`** โ Docker image build (Python 3.11 slim + dependencies) - **`docker-compose.yml`** โ Local dev stack (API + MongoDB volumes) ### CI/CD - **`.github/workflows/ci.yml`** โ GitHub Actions (Bandit + pip-audit + pytest) ### Infrastructure - **`infra/README.md`** โ Azure ML integration notes & deployment placeholders --- ## ๐งช Testing ### Test Suite - **`tests/__init__.py`** โ Package marker (auto-created) - **`tests/test_masking.py`** โ Unit test for PII masking --- ## โ๏ธ VS Code Integration ### Development Environment - **`.vscode/tasks.json`** โ Three tasks: 1. "Run MedSecure API" (Ctrl+Shift+B) โ Start dev server 2. "Run Tests" โ pytest execution 3. "Security Scan" โ Bandit security check ### GitHub Copilot - **`.github/copilot-instructions.md`** โ Workspace-specific Copilot instructions --- ## ๐ง Utilities ### Setup & Validation - **`quickstart.py`** โ Environment validation script - Checks dependencies - Verifies MongoDB - Runs pipeline test - Prompts to start API --- ## ๐ File Statistics | Category | Count | Files | |----------|-------|-------| | Documentation | 6 | `.md` files + `.env.example` | | Application Code | 12 | Core FastAPI app | | ML/Infrastructure | 4 | Services + training stubs | | DevOps | 4 | Docker + GitHub Actions + tasks | | Testing | 2 | Test suite | | Utilities | 1 | quickstart.py | | **TOTAL** | **29** | Files | ### Lines of Code - **Core App:** ~300 LOC - **Documentation:** ~1500 LOC - **Configuration:** ~50 LOC - **Tests:** ~20 LOC --- ## ๐ฏ How to Use This Index ### For Understanding Architecture 1. Read `PORTFOLIO_SETUP.md` (overview) 2. Read `app/services/pipeline.py` (core flow) 3. Read `app/api/routes.py` (endpoints) 4. Read `DEVELOPMENT_NOTES.md` (design decisions) ### For Development 1. Check `EXECUTION_PIPELINE.md` (which phase?) 2. Find relevant service file in `app/services/` 3. Update code 4. Run tests: `pytest -v tests/` 5. Security check: `bandit -r app` ### For Deployment 1. Read `docker-compose.yml` (local testing) 2. Read `Dockerfile` (container build) 3. Read `infra/README.md` (Azure deployment) 4. Read `.github/workflows/ci.yml` (CI/CD setup) ### For Portfolio 1. Share GitHub repo link 2. Point to `README.md` (overview) 3. Show `EXECUTION_PIPELINE.md` (10-phase roadmap) 4. Explain `DEVELOPMENT_NOTES.md` (architecture) --- ## ๐ Quick Navigation ### "How do I..." | Question | File | |----------|------| | Start the API? | See `PORTFOLIO_SETUP.md` ยง Quick Start | | Understand the architecture? | Read `DEVELOPMENT_NOTES.md` ยง Architecture Overview | | See the phases? | Check `EXECUTION_PIPELINE.md` (phases 1-10) | | Run tests? | Use VS Code task or run `pytest -v tests/` | | Deploy to Docker? | Follow `EXECUTION_PIPELINE.md` ยง Phase 8 | | Build Phase 1? | Read `EXECUTION_PIPELINE.md` ยง Phase 2.1 | | Check security? | Run Bandit: `bandit -r app` | | Validate setup? | Run `python quickstart.py` | | Configure environment? | Copy `.env.example` to `.env` | | Understand RBAC? | Read `app/core/security.py` | | See all endpoints? | Visit http://localhost:8000/docs (after starting API) | --- ## ๐ฆ Project Dependencies See `requirements.txt` for full list. Key packages: - **FastAPI** โ REST framework - **Uvicorn** โ ASGI server - **Pydantic** โ Data validation - **PyMongo** โ MongoDB driver - **Transformers** โ HuggingFace models - **spaCy** โ NLP library - **PEFT** โ LoRA fine-tuning - **Loguru** โ Structured logging - **Bandit** โ Security scanning - **pytest** โ Testing framework --- ## โ Verification Checklist - [x] All files created and syntactically valid - [x] Python imports verified (no circular dependencies) - [x] Docker files ready for build - [x] GitHub Actions CI/CD configured - [x] Documentation complete and linked - [x] Environment configuration templated - [x] VS Code tasks set up - [x] Tests framework ready - [x] Quick-start script working - [x] Project structure clean and organized --- ## ๐ Portfolio Talking Points When showcasing this project: 1. **"Architecture"** โ Explain the 7-step pipeline (masking โ NER โ summarization โ verification โ storage โ RBAC) 2. **"Security"** โ Highlight RBAC, encryption hooks, CI/CD scanning 3. **"NLP/ML"** โ Discuss NER integration, PEFT/LoRA fine-tuning approach, hallucination detection 4. **"DevOps"** โ Show Docker setup, GitHub Actions, environment management 5. **"Code Quality"** โ Point out decorators, type hints, structured logging --- ## ๐ Getting Help If you get stuck: 1. Check `PORTFOLIO_SETUP.md` ยง Troubleshooting 2. Run `python quickstart.py` to diagnose issues 3. Read relevant section in `DEVELOPMENT_NOTES.md` 4. Check file syntax: `python -m pytest tests/ -v` --- ## ๐ You're Ready! **Next Steps:** 1. โ You have the complete project (this file) 2. ๐ Read `PORTFOLIO_SETUP.md` 3. ๐งช Run `python quickstart.py` 4. ๐ Start `uvicorn app.main:app --reload` 5. ๐ฏ Begin Phase 1 (EXECUTION_PIPELINE.md) --- **Status:** โ Project Complete and Ready for Development **Version:** 1.0 **Last Updated:** February 2026
Full-stack web application for the University of Guelph Rocketry Club featuring AI-powered chatbot, member management, project showcases, and sponsor integration.
Reactory Data (`reactory-data`) is the data, assets, and CDN repository for the Reactory platform. It provides baseline directory structures, fonts, themes, internationalization files, client plugin source code and runtime bundles, email templates, workflow schedules, database backups, AI learning resources, and static content.
globs: src/app/**/*.tsx src/components/**/*.tsx src/hooks/**/*.ts src/lib/**/*.ts
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