# Python (Flask JSON Guide)

# Python Flask JSON Integration Guide

This project demonstrates how to handle JSON data in a Python Flask application. It includes examples of importing and processing JSON data, and generating outputs based on the processed data.

## Code Example

```python
from drawscape_factorio import create as createFactorio
from drawscape_factorio import importFUE5

# Load JSON data from a file
with open('/path/to/exported-entities.json', 'r') as file:
    json_data = json.load(file)

# Process the JSON data
data = importFUE5(json_data)

# Create a Factorio map with specified options
result = createFactorio(data, {
    'theme_name': 'default',
    'color_scheme': 'main',
    'show_layers': ['assets', 'belts', 'walls', 'rails', 'electrical', 'spaceship']
})

# Write the output to a file
with open(output_file_name, 'w') as f:
    f.write(result['svg_string'])
```

## Environment Setup

Here is the `environment.yml` file used to set up the project environment:

```yaml
name: drawscape_api
channels:
  - defaults
  - conda-forge
dependencies:
  - python=3.8
  - flask
  - pandas
  - numpy
  - requests
```

This setup ensures all necessary dependencies are installed for running the Flask application and handling JSON data efficiently.