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| sdk: gradio | |
| # API Data Connector and Client | |
| This project contains two main Python scripts: | |
| 1. `app.py`: A Gradio-based web application for selecting API endpoints from a specification and generating schema files (`_datasource_plugin_meta.json` and `_default_schema.orx`). | |
| 2. `dynamic_api_client.py`: A command-line tool to interactively call API endpoints based on an OpenAPI specification. | |
| ## `dynamic_api_client.py` - Standalone API Client | |
| This script allows you to dynamically connect to and call APIs defined by an OpenAPI (Swagger) specification. | |
| ### Features | |
| * Parses local or remote OpenAPI (JSON or YAML) specification files. | |
| * Automatically detects server URLs. | |
| * Determines API security requirements (API Key, HTTP Basic/Bearer, OAuth2 Client Credentials). | |
| * Prompts the user for necessary credentials. | |
| * Lists available API endpoints for user selection. | |
| * Prompts for required parameters (path, query, header, request body). | |
| * Makes API calls using the `requests` library. | |
| * Displays API responses. | |
| * Includes a fallback minimal parser if `api_schema_generatorV5.py` is not found (for basic functionality). | |
| ### Prerequisites | |
| * Python 3.7+ | |
| * `requests` library (`pip install requests`) | |
| * `PyYAML` library (`pip install pyyaml`) | |
| * (Optional but recommended) `api_schema_generatorV5.py` in the same directory or Python path for full parsing capabilities. | |
| ### Usage | |
| 1. **Run from the command line:** | |
| ```bash | |
| python dynamic_api_client.py <path_or_url_to_api_spec> | |
| ``` | |
| Replace `<path_or_url_to_api_spec>` with the actual file path or URL to your OpenAPI specification file (e.g., `openapi.json`, `swagger.yaml`, `https://api.example.com/openapi.json`). | |
| 2. **Follow the prompts:** | |
| * If the base URL cannot be determined, you'll be asked to enter it. | |
| * The script will identify the required authentication method. Enter your credentials when prompted. | |
| * A list of available endpoints will be displayed. Enter the numbers of the endpoints you wish to call, separated by commas. | |
| * For each selected endpoint, provide values for any required parameters. | |
| * The script will then make the API calls and display the responses. | |
| ### Example | |
| ```bash | |
| python dynamic_api_client.py ./my_api_spec.yaml | |
| ``` | |
| ### Notes | |
| * **OAuth2 Support:** Currently, only the Client Credentials flow is implemented for OAuth2. The script will attempt to fetch the token automatically. | |
| * **Parameter Handling:** The script prompts for path, query, and header parameters. For request bodies, it currently supports raw JSON input and URL-encoded form data. | |
| * **$ref Resolution:** | |
| * If `api_schema_generatorV5.py` is available and the spec is a local file, it will be used for more robust parsing, including some `$ref` resolutions within its capabilities. | |
| * The built-in minimal parser has limited `$ref` resolution (primarily for top-level components like security schemes). Complex nested `$ref`s, especially within parameters or request bodies, might not be fully resolved by the minimal parser. | |
| * **Security:** Be cautious when entering sensitive credentials. The script uses `input()` for passwords, which might be visible on screen or in shell history depending on your terminal configuration. | |
| ## `app.py` - API Schema Generator UI | |
| This Gradio application provides a user interface to: | |
| * Load API specifications (Okta, SailPoint IdentityNow, SailPoint IIQ, or custom URLs). | |
| * Browse and select API endpoints (GET, POST, or ALL). | |
| * Generate `_datasource_plugin_meta.json` and `_default_schema.orx` files based on selected endpoints. | |
| * Download the generated files as a ZIP archive. | |
| Refer to the comments and structure within `app.py` for details on its operation with Gradio. | |
| ### Running `app.py` | |
| ```bash | |
| python app.py | |
| ``` | |
| This will typically launch a web server, and you can access the UI in your browser (usually at `http://127.0.0.1:7860`). | |
| ## Potential Integration of `dynamic_api_client.py` with `app.py` | |
| While `dynamic_api_client.py` is currently a standalone CLI tool, its core logic for parsing API specifications, handling authentication, and making API calls could be integrated into `app.py` or a similar Gradio application to provide a UI for direct API interaction. | |
| Here are some conceptual ideas for integration: | |
| 1. **Add an "API Call" Tab/Section to `app.py`:** | |
| * After loading an API specification and selecting endpoints (as `app.py` already does for schema generation), a new section could allow the user to trigger calls to these selected endpoints. | |
| * The UI would need to: | |
| * Dynamically generate input fields for required authentication details based on the parsed `securitySchemes` (similar to how `dynamic_api_client.py` prompts for them). | |
| * For each selected endpoint, dynamically generate input fields for its parameters (path, query, header, body). | |
| * A "Call API" button would trigger the request. | |
| * Display the API response (status code, headers, body) in the UI. | |
| 2. **Refactor Core Logic into Reusable Functions/Classes:** | |
| * The API parsing, authentication handling, parameter collection, and request-making logic from `dynamic_api_client.py` could be refactored into functions or classes within a utility module (e.g., `api_interaction_utils.py`). | |
| * Both `dynamic_api_client.py` (for CLI use) and `app.py` (for UI use) could then import and use this shared module. This promotes code reuse and consistency. | |
| 3. **State Management in Gradio:** | |
| * Gradio's `gr.State` would be crucial for managing API specification data, authentication credentials (securely, if possible, though browser-based storage has limitations), selected endpoints, and parameter values across interactions. | |
| 4. **Workflow:** | |
| * User loads API spec in `app.py`. | |
| * `app.py` parses the spec (potentially using `ApiSchemaGeneratorV5` or the refactored utility module). | |
| * User navigates to an "API Interaction" or "Test Endpoint" section. | |
| * UI prompts for authentication based on the spec. | |
| * User selects an endpoint. | |
| * UI prompts for parameters for that endpoint. | |
| * User clicks "Send Request". | |
| * The backend (Gradio event handler) uses the refactored logic to construct and send the API request. | |
| * The response is displayed in the UI. | |
| ### Challenges and Considerations for Integration: | |
| * **Security of Credentials:** Handling API keys, passwords, and tokens in a web UI requires careful consideration. Storing them in `gr.State` might be acceptable for local development, but for a deployed application, more secure methods would be needed (e.g., backend secrets management, temporary session storage). | |
| * **Asynchronous Operations:** API calls can take time. Gradio's handling of long-running operations and providing feedback (loading indicators) would be important. | |
| * **Complex Request Bodies:** Building a UI to dynamically construct complex JSON or XML request bodies based on a schema can be challenging but powerful. | |
| * **Error Handling:** Robust error handling and clear feedback to the user in the UI are essential. | |
| This integration would transform `app.py` from just a schema generator into a more comprehensive API development and testing tool. | |