"""Extract API schema and split into smaller subsections.""" import argparse import os import textwrap import yaml OUTPUT_DIR = './docs/api/schema/' # General path GENERAL_PATH = 'general' # List of special paths we want to split out SPECIAL_PATHS = { 'auth': 'Authorization and Authentication', 'background-task': 'Background Task Management', 'barcode': 'Barcode Scanning', 'bom': 'Bill of Materials', 'build': 'Build Order Management', 'company': 'Company Management', 'label': 'Label Printing', 'order': 'External Order Management', 'part': 'Parts and Part Categories', 'plugins': 'Plugin Functionality', 'report': 'Report Generation', 'settings': 'Settings Management', 'stock': 'Stock and Stock Locations', 'user': 'User Management', } def top_level_path(path: str) -> str: """Return the top level path of the input path.""" path = path.strip() if path.startswith('/'): path = path[1:] if path.endswith('/'): path = path[:-1] path = path.strip() key = path.split('/')[1] if key in SPECIAL_PATHS.keys(): return key return GENERAL_PATH def generate_index_file(version: str): """Generate the index file for the API schema.""" output = f""" --- title: InvenTree API Schema --- The InvenTree API is implemented using the [Django REST framework](https://www.django-rest-framework.org). The API schema as documented below is generated using the [drf-spectactular](https://github.com/tfranzel/drf-spectacular/) extension. ## API Version This documentation is for API version: `{version}` ## API Schema File The API schema file is available for download, and can be used for generating client libraries, or for testing API endpoints. ## API Schema Documentation API schema documentation is split into the following categories: | Category | Description | | --- | --- | """ output = textwrap.dedent(output).strip() + '\n' for key, value in SPECIAL_PATHS.items(): output += f'| [{value}](./schema/{key}.md) | {value} |\n' output += '| [General](./schema/general.md) | General API endpoints |\n' output += '\n' output_file = os.path.join(os.path.dirname(__file__), OUTPUT_DIR, '..', 'schema.md') print('Writing index file to:', output_file) with open(output_file, 'w') as f: f.write(output) def parse_api_file(filename: str): """Parse the input API file, and split into smaller sections. The intent is to make the API schema easier to peruse on the documentation. """ with open(filename, 'r') as f: data = yaml.safe_load(f) paths = data['paths'] top_level_paths = {} for path, methods in paths.items(): tlp = top_level_path(path) if tlp not in top_level_paths: top_level_paths[tlp] = {} top_level_paths[tlp][path] = methods # Generate output files for key, value in top_level_paths.items(): output_file = os.path.join(os.path.dirname(__file__), OUTPUT_DIR, f'{key}.yml') output = {} output['paths'] = value for k, v in data.items(): if k != 'paths': output[k] = v print(f'Writing schema file to {output_file}...') output_file = os.path.abspath(output_file) with open(output_file, 'w') as f: yaml.dump(output, f) # Finally, generate an index file for the API schema generate_index_file(data['info']['version']) if __name__ == '__main__': parser = argparse.ArgumentParser(description=__doc__) parser.add_argument('input', help='Input API schema file (.yml)') args = parser.parse_args() parse_api_file(args.input)