# 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** 🎉