# JSON to OpenAPI Generator

A Python CLI tool that analyzes JSON data files and automatically generates valid OpenAPI 3.0 specification files. It infers data types, detects nested structures, and produces specs ready for Swagger UI and code generators.

## Features

- **Automatic Type Inference**: Infers OpenAPI schema types (string, number, integer, boolean, null, array, object) from JSON data
- **Nested Object Detection**: Recursively detects nested objects and arrays to build complete schema trees
- **Format Detection**: Automatically detects date, datetime, email, URI, UUID, and byte formats
- **Batch Processing**: Process multiple JSON files in a single command
- **Interactive Customization**: Interactive CLI prompts to customize endpoint names, paths, HTTP methods, and descriptions
- **OpenAPI 3.0 Output**: Generates valid OpenAPI 3.0 YAML/JSON output compatible with Swagger UI, ReDoc, and code generators
- **Validation**: Built-in validation of generated OpenAPI specs

## Installation

### From Source

```bash
pip install -e .
```

### Using pip

```bash
pip install json-to-openapi
```

## Usage

### Basic Conversion

Convert a single JSON file to OpenAPI specification:

```bash
json-to-openapi convert input.json -o output.yaml
```

### With Custom Options

```bash
json-to-openapi convert input.json \
    -o output.yaml \
    -t "My API" \
    -v "1.0.0" \
    -d "API description" \
    -f yaml
```

### Interactive Mode

Interactive mode for customizing the OpenAPI specification:

```bash
json-to-openapi interactive
```

### Batch Processing

Process multiple JSON files:

```bash
json-to-openapi batch "*.json" -o ./openapi_specs/
```

Generate a combined OpenAPI spec:

```bash
json-to-openapi batch "*.json" -c -o combined.yaml
```

### Validation

Validate an existing OpenAPI specification:

```bash
json-to-openapi validate openapi.yaml
```

### Options

#### Global Options

| Option | Description |
|--------|-------------|
| `-v, --verbose` | Enable verbose output |
| `-q, --quiet` | Suppress all output except errors |

#### Convert Command

| Option | Description |
|--------|-------------|
| `input_file` | Path to input JSON file |
| `-o, --output` | Output file path |
| `-f, --format` | Output format (yaml or json, default: yaml) |
| `-t, --title` | API title (default: "My API") |
| `-v, --version` | API version (default: "1.0.0") |
| `-d, --description` | API description |

#### Batch Command

| Option | Description |
|--------|-------------|
| `input_pattern` | File glob pattern (e.g., "*.json" or "data/**/*.json") |
| `-o, --output-dir` | Output directory |
| `-f, --format` | Output format (yaml or json, default: yaml) |
| `-t, --title` | API title (default: "My API") |
| `-v, --version` | API version (default: "1.0.0") |
| `-c, --combined` | Generate combined OpenAPI spec |
| `-p, --parallel` | Process files in parallel |

## Examples

### Simple Object

Input JSON:
```json
{
  "name": "John",
  "age": 30,
  "active": true
}
```

Generated OpenAPI:
```yaml
openapi: 3.0.3
info:
  title: My API
  version: 1.0.0
paths:
  /:
    get:
      summary: Get My API
      operationId: getMyAPI
      responses:
        '200':
          description: Successful response
          content:
            application/json:
              schema:
                type: object
                properties:
                  name:
                    type: string
                  age:
                    type: integer
                  active:
                    type: boolean
```

### Nested Structure

Input JSON:
```json
{
  "user": {
    "id": 1,
    "profile": {
      "name": "Alice",
      "email": "alice@example.com"
    }
  }
}
```

### Array with Objects

Input JSON:
```json
{
  "users": [
    {"id": 1, "name": "Alice"},
    {"id": 2, "name": "Bob"}
  ]
}
```

## API Reference

### Python API

```python
from json_to_openapi.schema_generator import OpenAPIGenerator, EndpointInfo

# Create generator
generator = OpenAPIGenerator(title="My API", version="1.0.0")

# Generate spec from JSON data
data = {"name": "Test", "value": 42}
spec = generator.generate(data)

# Generate spec with custom endpoint
endpoint = EndpointInfo(
    path="/items",
    method="get",
    summary="Get Items",
    description="Retrieve all items",
    tags=["items"]
)
spec = generator.generate(data, endpoint=endpoint)

# Save to file
generator.save_spec(spec, "output.yaml", format="yaml")
```

### Type Inference

The analyzer automatically detects:

- **Basic Types**: string, number, integer, boolean, null
- **String Formats**: date, date-time, email, uri, uuid, byte
- **Complex Types**: objects with properties, arrays with items
- **Required Fields**: All object properties are marked as required

## Error Handling

The tool handles common errors gracefully:

- **Invalid JSON**: Provides helpful error messages with line numbers
- **Empty JSON**: Validates input has valid structure
- **Invalid Output Path**: Checks path permissions and parent directory existence
- **Batch Processing**: Continues processing remaining files and reports summary at end

## Development

### Running Tests

```bash
pytest tests/ -v
```

### Installing Development Dependencies

```bash
pip install -e ".[dev]"
```

## License

MIT License