# Primary School Compass 🧒📚

A modern web application for comparing **primary school (KS2)** performance data in **Wandsworth and Merton** over the last 5 years. Built with FastAPI and vanilla JavaScript with Chart.js visualizations.

![Python](https://img.shields.io/badge/Python-3.9+-blue)
![FastAPI](https://img.shields.io/badge/FastAPI-0.109-green)
![License](https://img.shields.io/badge/License-MIT-yellow)

## Features

- 📊 **Interactive Charts** - Visualize KS2 performance trends over time
- 🔍 **Smart Search** - Find primary schools by name in Wandsworth & Merton
- ⚖️ **Side-by-Side Comparison** - Compare up to 5 schools simultaneously
- 🏆 **Rankings** - View top-performing primary schools by various KS2 metrics
- 📱 **Responsive Design** - Works beautifully on desktop and mobile

## Key Metrics (KS2)

The application tracks these Key Stage 2 performance indicators:

| Metric | Description |
|--------|-------------|
| **Reading Progress** | Progress in reading from KS1 to KS2 |
| **Writing Progress** | Progress in writing from KS1 to KS2 |
| **Maths Progress** | Progress in maths from KS1 to KS2 |
| **Reading Expected %** | Percentage meeting expected standard in reading |
| **Writing Expected %** | Percentage meeting expected standard in writing |
| **Maths Expected %** | Percentage meeting expected standard in maths |
| **RWM Combined %** | Percentage meeting expected standard in all three subjects |

## Quick Start

### 1. Clone and Setup

```bash
cd school_results

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt
```

### 2. Run the Application

```bash
# Start the server
python -m uvicorn backend.app:app --reload --port 8000
```

Then open http://localhost:8000 in your browser.

The app will run with **sample data** by default, showing **110 primary schools** (66 in Wandsworth, 44 in Merton) with 5 years of KS2 performance data.

### 3. (Optional) Use Real Data

To use real UK school performance data:

1. Visit [Compare School Performance - Download Data](https://www.compare-school-performance.service.gov.uk/download-data)

2. Download **Key Stage 2** data for the years you want (2019-2024)
   - Select "Key Stage 2" as the data type

3. Place the CSV files in the `data/` folder

4. Restart the server - it will automatically load and filter to Wandsworth & Merton schools

**Note:** The app only displays schools in Wandsworth and Merton. Data from other areas will be filtered out.

See the helper script for more details:
```bash
python scripts/download_data.py
```

## Project Structure

```
school_results/
├── backend/
│   └── app.py           # FastAPI application with all API endpoints
├── frontend/
│   ├── index.html       # Main HTML page
│   ├── styles.css       # Styling (warm, editorial design)
│   └── app.js           # Frontend JavaScript
├── data/
│   └── .gitkeep         # Place CSV data files here
├── scripts/
│   └── download_data.py # Helper for downloading/processing data
├── requirements.txt     # Python dependencies
└── README.md
```

## API Endpoints

| Endpoint | Description |
|----------|-------------|
| `GET /api/schools` | List schools with optional search/filter |
| `GET /api/schools/{urn}` | Get detailed data for a specific school |
| `GET /api/compare?urns=...` | Compare multiple schools |
| `GET /api/rankings` | Get school rankings by metric |
| `GET /api/filters` | Get available filter options |
| `GET /api/metrics` | Get available performance metrics |

### Example API Usage

```bash
# Search for schools
curl "http://localhost:8000/api/schools?search=academy"

# Get school details
curl "http://localhost:8000/api/schools/100001"

# Compare schools
curl "http://localhost:8000/api/compare?urns=100001,100002,100003"

# Get rankings
curl "http://localhost:8000/api/rankings?metric=rwm_expected_pct&year=2024"
```

## Data Format

If using your own CSV data, ensure it includes these columns (or similar):

| Column | Type | Description |
|--------|------|-------------|
| URN | Integer | Unique Reference Number |
| SCHNAME | String | School name |
| LA | String | Local Authority (must be Wandsworth or Merton) |
| READPROG | Float | Reading progress score |
| WRITPROG | Float | Writing progress score |
| MATPROG | Float | Maths progress score |
| PTRWM_EXP | Float | % meeting expected standard in RWM |
| PTREAD_EXP | Float | % meeting expected standard in reading |
| PTWRIT_EXP | Float | % meeting expected standard in writing |
| PTMAT_EXP | Float | % meeting expected standard in maths |

The application normalizes column names automatically and filters to only show Wandsworth and Merton schools.

## Technology Stack

- **Backend**: FastAPI (Python) - High-performance async API framework
- **Frontend**: Vanilla JavaScript with Chart.js
- **Styling**: Custom CSS with CSS variables for theming
- **Data**: Pandas for CSV processing

## Design Philosophy

The UI features a warm, editorial design inspired by quality publications:
- **Typography**: DM Sans for body text, Playfair Display for headings
- **Color Palette**: Warm cream background with coral and teal accents
- **Interactions**: Smooth animations and hover effects
- **Charts**: Clean, readable data visualizations

## Development

```bash
# Run with auto-reload
python -m uvicorn backend.app:app --reload --port 8000

# Or run directly
python backend/app.py
```

## Coverage

This application is specifically designed for:

- **School Phase**: Primary schools only (Key Stage 2)
- **Geographic Area**: Wandsworth and Merton (London boroughs)
- **Time Period**: Last 5 years of data (2020-2024)

Note: 2021 data shows as unavailable because SATs were cancelled due to COVID-19.

## Data Source

Data is sourced from the UK Government's [Compare School Performance](https://www.compare-school-performance.service.gov.uk/) service, which provides official school performance data for England.

**Important**: When using real data, please comply with the [terms of use](https://www.compare-school-performance.service.gov.uk/download-data) and data protection regulations.

## Scheduled Jobs

### Geocoding Schools (Cron Job)

School postcodes are geocoded by a scheduled job, not on-demand. This improves performance and reduces API calls.

**Setup the cron job** (runs weekly on Sunday at 2am):

```bash
# Edit crontab
crontab -e

# Add this line (adjust paths as needed):
0 2 * * 0 cd /path/to/school_compare && /path/to/venv/bin/python scripts/geocode_schools.py >> /var/log/geocode_schools.log 2>&1
```

**Manual run:**
```bash
# Geocode only schools missing coordinates
python scripts/geocode_schools.py

# Force re-geocode all schools
python scripts/geocode_schools.py --force
```

## License

MIT License - feel free to use this project for educational purposes.

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Built with ❤️ for Wandsworth & Merton families