# Files Created - FastAPI + HTML Canvas Setup **Date**: June 19, 2026 **Status**: ✅ Ready to run --- ## 📁 Complete File List ### Core Application Files #### ✅ server.py **Purpose**: Main FastAPI application **Features**: - File upload endpoint (`/api/analyze`) - CSV export integration - Results retrieval - ZIP download support - Mock analysis function (ready to replace) **Location**: `C:\Users\ruchy\OneDrive\Documents\hvac_project\server.py` --- #### ✅ modules/models.py **Purpose**: Pydantic data models **Contains**: - `Unit` - Individual HVAC unit - `Floor` - Floor with multiple units - `AnalysisResult` - Complete analysis output - `ScheduleUpload` - Schedule data model **Location**: `C:\Users\ruchy\OneDrive\Documents\hvac_project\modules\models.py` --- #### ✅ modules/csv_exporter.py **Purpose**: CSV generation **Exports**: - `hvac_floors_units.csv` - Floor-by-floor unit breakdown - `hvac_equipment_schedule.csv` - Equipment details - `hvac_reconciliation.csv` - Issue tracking **Location**: `C:\Users\ruchy\OneDrive\Documents\hvac_project\modules\csv_exporter.py` --- ### Frontend Files #### ✅ public/index.html **Purpose**: Main UI page **Features**: - File upload area (drag & drop) - Model selection (Gemini vs OpenAI) - Schedule mode toggle - 4 tabs: Summary, Floors & Units, Floor Plan, Downloads - Download buttons for CSVs **Location**: `C:\Users\ruchy\OneDrive\Documents\hvac_project\public\index.html` --- #### ✅ public/style.css **Purpose**: Styling **Features**: - Professional gradient design - Responsive layout - Dark/light text colors - Tab styling - Mobile-friendly **Location**: `C:\Users\ruchy\OneDrive\Documents\hvac_project\public\style.css` --- #### ✅ public/script.js **Purpose**: Frontend logic **Features**: - File upload handling (drag & drop) - API calls to backend - Table population - Canvas floor plan drawing - Download triggers - Error handling **Location**: `C:\Users\ruchy\OneDrive\Documents\hvac_project\public\script.js` --- ### Configuration Files #### ✅ requirements.txt **Purpose**: Python dependencies **Updated with**: - fastapi, uvicorn - pydantic - pandas - aiofiles - google-generativeai - openai - + all your existing dependencies **Location**: `C:\Users\ruchy\OneDrive\Documents\hvac_project\requirements.txt` --- #### ✅ .env **Purpose**: Environment variables **Contains**: - GEMINI_API_KEY - OPENAI_API_KEY - DEBUG setting - HOST/PORT config **Location**: `C:\Users\ruchy\OneDrive\Documents\hvac_project\.env` --- #### ✅ Procfile **Purpose**: Railway/Heroku deployment **Command**: `uvicorn server:app --host 0.0.0.0 --port $PORT` **Location**: `C:\Users\ruchy\OneDrive\Documents\hvac_project\Procfile` --- ### Documentation Files #### ✅ QUICK_START.md **Purpose**: Get running in 5 minutes **Covers**: - Installation steps - Running the server - What you can do - API endpoints - Troubleshooting **Location**: `C:\Users\ruchy\OneDrive\Documents\hvac_project\QUICK_START.md` --- #### ✅ PRODUCTION_CHECKLIST.md **Purpose**: Complete production requirements **Covers**: - 11 phases from feature completion to production - 5 test plans - FastAPI deployment - Testing strategy - Security & compliance **Location**: `C:\Users\ruchy\OneDrive\Documents\hvac_project\PRODUCTION_CHECKLIST.md` --- #### ✅ OUTPUT_GENERATOR_GUI_GUIDE.md **Purpose**: CSV output & GUI options **Covers**: - CSV format specifications - GUI implementation options - Streamlit vs React vs HTML - PDF report generation **Location**: `C:\Users\ruchy\OneDrive\Documents\hvac_project\OUTPUT_GENERATOR_GUI_GUIDE.md` --- #### ✅ FASTAPI_HTML_CANVAS_1DAY_GUIDE.md **Purpose**: Complete 1-day build guide **Covers**: - 6-hour timeline - Step-by-step instructions - All code ready to copy/paste - Testing & deployment **Location**: `C:\Users\ruchy\OneDrive\Documents\hvac_project\FASTAPI_HTML_CANVAS_1DAY_GUIDE.md` --- #### ✅ RAILWAY_DEPLOYMENT_GUIDE.md **Purpose**: Deploy to Railway in 5 minutes **Covers**: - Why Railway - Step-by-step setup - Environment variables - Troubleshooting - Cost breakdown **Location**: `C:\Users\ruchy\OneDrive\Documents\hvac_project\RAILWAY_DEPLOYMENT_GUIDE.md` --- #### ✅ FILES_CREATED.md **Purpose**: This file - inventory of all files **Location**: `C:\Users\ruchy\OneDrive\Documents\hvac_project\FILES_CREATED.md` --- ## 📊 File Count Summary | Category | Count | Files | |----------|-------|-------| | Core App | 3 | server.py, models.py, csv_exporter.py | | Frontend | 3 | index.html, style.css, script.js | | Config | 3 | requirements.txt, .env, Procfile | | Documentation | 7 | QUICK_START, PRODUCTION_CHECKLIST, etc. | | **Total** | **16** | **Ready to use** | --- ## 🚀 To Get Started ```bash cd C:\Users\ruchy\OneDrive\Documents\hvac_project # 1. Activate virtual environment venv\Scripts\activate # 2. Install dependencies pip install -r requirements.txt # 3. Run the server python server.py # 4. Open in browser # http://127.0.0.1:8000 ``` --- ## ✅ What's Ready - ✅ **FastAPI backend** - All endpoints working - ✅ **HTML/Canvas UI** - Professional interface - ✅ **CSV export** - 3 file types generated automatically - ✅ **File upload** - Drag & drop support - ✅ **Floor plan visualization** - Canvas drawing - ✅ **Mock analysis** - Ready to replace with real code - ✅ **Error handling** - User-friendly messages - ✅ **Responsive design** - Works on mobile too --- ## 🔧 What You Need to Do 1. **Replace mock analysis** in `server.py` - Import your real HVAC analyzer - Connect Gemini/OpenAI APIs - Test with real PDFs 2. **Deploy to Railway** (optional but recommended) - See `RAILWAY_DEPLOYMENT_GUIDE.md` - Live URL in 5 minutes 3. **Customize as needed** - Adjust colors in `style.css` - Add more API endpoints - Modify CSV columns --- ## 📞 File Quick Reference **Need to...** - Get it running? → Read `QUICK_START.md` - Deploy to cloud? → Read `RAILWAY_DEPLOYMENT_GUIDE.md` - Understand full scope? → Read `PRODUCTION_CHECKLIST.md` - Change UI appearance? → Edit `public/style.css` - Connect your analysis code? → Edit `server.py` (find TODO) - Customize CSV output? → Edit `modules/csv_exporter.py` --- ## 📦 Directory Structure ``` hvac_project/ ├── server.py ✅ Main app ├── requirements.txt ✅ Dependencies ├── .env ✅ Config ├── Procfile ✅ Deployment ├── modules/ │ ├── __init__.py (optional) │ ├── models.py ✅ Data models │ └── csv_exporter.py ✅ CSV export ├── public/ │ ├── index.html ✅ UI │ ├── style.css ✅ Styling │ └── script.js ✅ Frontend logic ├── uploads/ (auto-created) ├── outputs/ (auto-created) └── [Documentation files] ✅ Guides ``` --- ## 🎯 Success Criteria ✅ **Everything works if:** 1. You can start the server without errors 2. Browser opens to http://127.0.0.1:8000 3. You can upload a PDF 4. You see mock results 5. You can download CSVs **If any of these fail:** Check `QUICK_START.md` troubleshooting section --- ## 🚀 Next Phase Once mock analysis is working: 1. Connect real HVAC analyzer 2. Test with actual blueprints 3. Verify CSV output quality 4. Deploy to Railway 5. Share live demo link **Timeline: 1-2 weeks to full production** --- **All files are ready to use! Start with QUICK_START.md** 🎉