# IvoryOS client ## Description [IvoryOS](https://gitlab.com/heingroup/ivoryos) client automates the generation of client-side APIs based on server-defined robotic control script. It mirrors the control Python code features but sending command through HTTP request to the IvoryOS backend (where the actual robotic communication are happening) that receives the info and execute the actual control methods. ## Installation ```bash pip install ivoryos-client ``` ## Quick Start ```python from ivoryos_client import IvoryosClient # Initialize client client = IvoryosClient( url="http://localhost:8000/ivoryos", username="admin", password="admin" ) # Or use as context manager with IvoryosClient(url="http://localhost:8000/ivoryos", username="admin", password="admin") as client: # Get platform info info = client.get_platform_info() print(info) # Check execution status status = client.get_execution_status() print(status) # Execute a task result = client.execute_task("sdl", "dose_solid", {"amount_in_mg": "5"}) print(result) ``` You can also check out examples in [community/examples](community/examples) ## Features - **Task Execution**: Execute robot tasks with parameters - **Workflow Management**: Submit, load, and manage workflow scripts - **Workflow Execution**: Run workflows with different strategies (repeat, kwargs, campaign) - **Data Management**: List and load workflow execution data - **Status Monitoring**: Check workflow execution status - **Error Handling**: Comprehensive exception handling with specific error types ## API Reference ### Client Initialization ```python IvoryosClient(url, username, password, timeout=30.0) ``` ### Task Operations - `get_platform_info()` - Get platform information and available functions - `execute_task(component, method, kwargs=None)` - Execute a task - `get_execution_status()` - Get current execution status - `get_task_status(task_id)` - Get task execution output by task ID ### Workflow Script Operations - `list_workflow_scripts(search_key='', deck_name='')` - List available scripts - `load_workflow_script(workflow_name)` - Load a specific script - `submit_workflow_script(workflow_name, main_script='', cleanup_script='', prep_script='')` - Submit a script ### Workflow Execution - `run_workflow_repeat(repeat_time=None, batch_size=None)` - Run workflow with simple repeat - `run_workflow_kwargs(kwargs_list=None, batch_size=1)` - Run workflow with parameter sets - `run_workflow_campaign(optimizer_type, parameters, objectives, repeat=25, batch_size=1, steps={}, parameter_constraints=None, existing_data=None)` - Run optimization campaign - `get_queue()` - Get workflow queue ### Workflow Control - `pause_and_resume()` - Toggle workflow pause/resume - `abort_pending_workflow()` - Abort pending executions - `stop_current_workflow()` - Stop current execution ### Data Operations - `list_workflow_data(workflow_name='')` - List workflow execution data - `get_last_workflow_run_id(workflow_name='')` - Get the most recent workflow run ID - `load_workflow_data(workflow_id)` - Load specific workflow data ## Exception Handling The client provides specific exception types: - `IvoryosError` - Base exception - `AuthenticationError` - Authentication failures - `ConnectionError` - Connection issues - `WorkflowError` - Workflow operation failures - `TaskError` - Task execution failures ```python from ivoryos_client import IvoryosClient, AuthenticationError, WorkflowError try: with IvoryosClient(url="http://localhost:8000/ivoryos", username="admin", password="admin") as client: result = client.execute_task("sdl", "dose_solid", {"amount_in_mg": "5"}) except AuthenticationError: print("Authentication failed") except WorkflowError as e: print(f"Workflow error: {e}") ``` ## Development ### Setup Development Environment ```bash git clone https://gitlab.com/heingroup/ivoryos-suite/ivoryos-client cd ivoryos-client pip install -e ".[dev]" ``` ## License MIT License ## Contributing 1. Fork the repository 2. Create a feature branch 3. Make your changes 4. Add tests 5. Run the test suite 6. Submit a pull request