diff --git a/CHANGELOG.md b/CHANGELOG.md index afe79a0..01a8fce 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,26 @@ # Changelog +## [0.11.0](https://github.com/runpod/tetra-rp/compare/v0.10.0...v0.11.0) (2025-08-19) + + +### Features + +* Add download acceleration for dependencies and HuggingFace models ([#83](https://github.com/runpod/tetra-rp/issues/83)) ([e47c9e3](https://github.com/runpod/tetra-rp/commit/e47c9e37030ead1831893dd70a1322421befbaad)) + +## [0.10.0](https://github.com/runpod/tetra-rp/compare/v0.9.0...v0.10.0) (2025-08-07) + + +### Features + +* Add idempotent network volume deployment ([#79](https://github.com/runpod/tetra-rp/issues/79)) ([289d333](https://github.com/runpod/tetra-rp/commit/289d333aaaf48e00bfdad2a5f6356bdfc6bcf286)) + +## [0.9.0](https://github.com/runpod/tetra-rp/compare/v0.8.0...v0.9.0) (2025-08-04) + + +### Features + +* AE-961 Add class serialization caching for remote execution ([#76](https://github.com/runpod/tetra-rp/issues/76)) ([95f9eed](https://github.com/runpod/tetra-rp/commit/95f9eed1810e6a623091348c326e2ea571c6dddf)) + ## [0.8.0](https://github.com/runpod/tetra-rp/compare/v0.7.0...v0.8.0) (2025-07-22) diff --git a/Makefile b/Makefile index 6b7227e..de27dc7 100644 --- a/Makefile +++ b/Makefile @@ -15,6 +15,10 @@ help: # Show this help menu dev: # Install development dependencies uv sync --all-groups +update: + uv sync --upgrade --all-groups + uv lock --upgrade + proto: # TODO: auto-generate proto files @echo "TODO" diff --git a/README.md b/README.md index dfa3e05..edfa7ae 100644 --- a/README.md +++ b/README.md @@ -785,6 +785,6 @@ def fetch_data(url): This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

- Tetra ā€¢ + Tetra ā€¢ Runpod

\ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index ab86d3e..10c3723 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "tetra_rp" -version = "0.8.0" +version = "0.11.0" description = "A Python library for distributed inference and serving of machine learning models" authors = [ { name = "Marut Pandya", email = "pandyamarut@gmail.com" }, @@ -21,6 +21,8 @@ dependencies = [ "cloudpickle>=3.1.1", "runpod", "python-dotenv>=1.0.0", + "aiohttp>=3.9.0", + "pydantic>=2.11.4", ] [dependency-groups] diff --git a/simple_deployment_runtime_example.py b/simple_deployment_runtime_example.py new file mode 100644 index 0000000..ba5a10d --- /dev/null +++ b/simple_deployment_runtime_example.py @@ -0,0 +1,69 @@ +""" +Simple LoadBalancerSls Example + +Shows basic usage of LoadBalancerSls with LoadBalancerSlsResource +""" + +import asyncio +import logging + +# Add tetra-rp to Python path +# sys.path.insert(0, "/Users/marut/tetra/tetra-rp/src") + +from tetra_rp import remote, LoadBalancerSlsResource, endpoint + +# Reduce logging noise +logging.getLogger("tetra_rp").setLevel(logging.WARNING) + +# Configure LoadBalancerSls resource +lb_config = LoadBalancerSlsResource(name="loadbalancer-sls-test") + + +# Define class outside main function +@remote( + resource_config=lb_config, # Clean resource-based approach + dependencies=["numpy"], +) +class MLModel: + def __init__(self): + self.counter = 0 + + @endpoint(methods=["POST"]) + def predict(self, text): + self.counter += 1 + return {"input": text, "result": f"Processed: {text}", "count": self.counter} + + def compute(self, x, y): + self.counter += 1 + return {"sum": x + y, "count": self.counter} + + +async def main(): + print("šŸš€ LoadBalancerSls Test") + print("=" * 25) + + # Create model (health check happens automatically) + print("\nšŸ“¦ Creating model...") + model = MLModel() + + # Test remote execution + print("\nšŸ”„ Remote execution...") + try: + result = await model.compute(10, 5) + print(f"āœ… Sum: {result['sum']}, Count: {result['count']}") + except Exception as e: + print(f"āŒ Remote failed: {e}") + + # Test HTTP endpoint + print("\nšŸŒ HTTP endpoint...") + try: + result = await model.predict("hello") + print(f"āœ… Result: {result['result']}, Count: {result['count']}") + except Exception as e: + print(f"āŒ HTTP failed: {e}") + + print("\nšŸŽ‰ Test completed!") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/src/tetra_rp/__init__.py b/src/tetra_rp/__init__.py index a8bca51..776823f 100644 --- a/src/tetra_rp/__init__.py +++ b/src/tetra_rp/__init__.py @@ -14,14 +14,18 @@ CpuServerlessEndpoint, CpuInstanceType, CudaVersion, + DataCenter, GpuGroup, LiveServerless, + LoadBalancerSlsResource, PodTemplate, ResourceManager, + ServerlessResource, ServerlessEndpoint, runpod, NetworkVolume, ) +from .core.resources.load_balancer_sls import LoadBalancerSls, endpoint # noqa: E402 __all__ = [ @@ -29,11 +33,16 @@ "CpuServerlessEndpoint", "CpuInstanceType", "CudaVersion", + "DataCenter", "GpuGroup", - "LiveServerless", + "LiveServerless", + "LoadBalancerSlsResource", "PodTemplate", "ResourceManager", + "ServerlessResource", "ServerlessEndpoint", "runpod", "NetworkVolume", + "LoadBalancerSls", + "endpoint", ] diff --git a/src/tetra_rp/client.py b/src/tetra_rp/client.py index dd086a7..98cc68f 100644 --- a/src/tetra_rp/client.py +++ b/src/tetra_rp/client.py @@ -3,8 +3,9 @@ from functools import wraps from typing import List, Optional -from .core.resources import ResourceManager, ServerlessResource +from .core.resources import ResourceManager, ServerlessResource, LoadBalancerSlsResource from .execute_class import create_remote_class +from .core.resources.load_balancer_sls.integration import create_load_balancer_sls_class from .stubs import stub_resource log = logging.getLogger(__name__) @@ -14,6 +15,8 @@ def remote( resource_config: ServerlessResource, dependencies: Optional[List[str]] = None, system_dependencies: Optional[List[str]] = None, + accelerate_downloads: bool = True, + hf_models_to_cache: Optional[List[str]] = None, **extra, ): """ @@ -22,10 +25,17 @@ def remote( This decorator allows a function to be executed in a remote serverless environment, with support for dynamic resource provisioning and installation of required dependencies. + Args: resource_config (ServerlessResource): Configuration object specifying the serverless resource - to be provisioned or used. + to be provisioned or used. Set resource_config.type="LB" for LoadBalancerSls mode. dependencies (List[str], optional): A list of pip package names to be installed in the remote environment before executing the function. Defaults to None. + system_dependencies (List[str], optional): A list of system packages to be installed in the remote + environment before executing the function. Defaults to None. + accelerate_downloads (bool, optional): Enable download acceleration for dependencies and models. + Defaults to True. + hf_models_to_cache (List[str], optional): List of HuggingFace model IDs to pre-cache using + download acceleration. Defaults to None. extra (dict, optional): Additional parameters for the execution of the resource. Defaults to an empty dict. Returns: @@ -34,25 +44,63 @@ def remote( Example: ```python + # Traditional serverless execution @remote( resource_config=my_resource_config, dependencies=["numpy", "pandas"], - sync=True # Optional, to run synchronously + accelerate_downloads=True, + hf_models_to_cache=["gpt2", "bert-base-uncased"] ) async def my_function(data): # Function logic here pass + + # LoadBalancerSls execution (Load Balancer mode) + @remote( + resource_config=my_resource_config, + type="LB", + dependencies=["torch", "transformers"] + ) + class MLModel: + @endpoint(methods=['POST']) + def predict(self, data): + return result ``` """ def decorator(func_or_class): if inspect.isclass(func_or_class): # Handle class decoration - return create_remote_class( - func_or_class, resource_config, dependencies, system_dependencies, extra - ) + if isinstance(resource_config, LoadBalancerSlsResource): + # Use LoadBalancerSls (Load Balancer) mode + log.info( + f"Using LoadBalancerSls mode for class {func_or_class.__name__}" + ) + return create_load_balancer_sls_class( + func_or_class, + resource_config, + dependencies, + system_dependencies, + extra, + ) + else: + # Use traditional serverless execution + return create_remote_class( + func_or_class, + resource_config, + dependencies, + system_dependencies, + accelerate_downloads, + hf_models_to_cache, + extra, + ) else: # Handle function decoration (unchanged) + if isinstance(resource_config, LoadBalancerSlsResource): + raise ValueError( + "LoadBalancerSlsResource can only be used with classes, not functions" + ) + @wraps(func_or_class) async def wrapper(*args, **kwargs): resource_manager = ResourceManager() @@ -62,7 +110,13 @@ async def wrapper(*args, **kwargs): stub = stub_resource(remote_resource, **extra) return await stub( - func_or_class, dependencies, system_dependencies, *args, **kwargs + func_or_class, + dependencies, + system_dependencies, + accelerate_downloads, + hf_models_to_cache, + *args, + **kwargs, ) return wrapper diff --git a/src/tetra_rp/core/api/runpod.py b/src/tetra_rp/core/api/runpod.py index 7524e62..af1754d 100644 --- a/src/tetra_rp/core/api/runpod.py +++ b/src/tetra_rp/core/api/runpod.py @@ -281,6 +281,30 @@ async def create_network_volume(self, payload: Dict[str, Any]) -> Dict[str, Any] return result + async def list_network_volumes(self) -> Dict[str, Any]: + """ + List all network volumes in Runpod. + + Returns: + List of network volume objects or dict containing networkVolumes key. + The API may return either format depending on version. + """ + log.debug("Listing network volumes") + + result = await self._execute_rest( + "GET", f"{RUNPOD_REST_API_URL}/networkvolumes" + ) + + # Handle both list and dict responses + if isinstance(result, list): + volume_count = len(result) + else: + volume_count = len(result.get("networkVolumes", [])) + + log.debug(f"Listed {volume_count} network volumes") + + return result + async def close(self): """Close the HTTP session.""" if self.session and not self.session.closed: diff --git a/src/tetra_rp/core/resources/__init__.py b/src/tetra_rp/core/resources/__init__.py index 4f14974..8657b6b 100644 --- a/src/tetra_rp/core/resources/__init__.py +++ b/src/tetra_rp/core/resources/__init__.py @@ -4,6 +4,7 @@ from .gpu import GpuGroup, GpuType, GpuTypeDetail from .resource_manager import ResourceManager from .live_serverless import LiveServerless +from .load_balancer_sls_resource import LoadBalancerSlsResource from .serverless import ( CpuServerlessEndpoint, ServerlessResource, @@ -12,7 +13,7 @@ CudaVersion, ) from .template import PodTemplate -from .network_volume import NetworkVolume +from .network_volume import NetworkVolume, DataCenter __all__ = [ @@ -21,12 +22,14 @@ "CpuInstanceType", "CpuServerlessEndpoint", "CudaVersion", + "DataCenter", "DeployableResource", "GpuGroup", "GpuType", "GpuTypeDetail", "JobOutput", "LiveServerless", + "LoadBalancerSlsResource", "ResourceManager", "ServerlessResource", "ServerlessEndpoint", diff --git a/src/tetra_rp/core/resources/load_balancer_sls/__init__.py b/src/tetra_rp/core/resources/load_balancer_sls/__init__.py new file mode 100644 index 0000000..c639aa8 --- /dev/null +++ b/src/tetra_rp/core/resources/load_balancer_sls/__init__.py @@ -0,0 +1,26 @@ +""" +LoadBalancerSls Package + +This package provides LoadBalancerSls functionality for dual-capability remote execution, +supporting both HTTP endpoints and remote execution through a unified interface. +""" + +from .client import LoadBalancerSls +from .endpoint import endpoint +from .exceptions import ( + LoadBalancerSlsError, + LoadBalancerSlsConnectionError, + LoadBalancerSlsAuthenticationError, + LoadBalancerSlsExecutionError, + LoadBalancerSlsConfigurationError, +) + +__all__ = [ + "LoadBalancerSls", + "endpoint", + "LoadBalancerSlsError", + "LoadBalancerSlsConnectionError", + "LoadBalancerSlsAuthenticationError", + "LoadBalancerSlsExecutionError", + "LoadBalancerSlsConfigurationError", +] diff --git a/src/tetra_rp/core/resources/load_balancer_sls/client.py b/src/tetra_rp/core/resources/load_balancer_sls/client.py new file mode 100644 index 0000000..c9cec83 --- /dev/null +++ b/src/tetra_rp/core/resources/load_balancer_sls/client.py @@ -0,0 +1,516 @@ +""" +LoadBalancerSls Client + +This provides a way to work with LoadBalancerSls functionality by: +1. Supporting manual endpoint deployment +2. Providing dual-capability functionality (HTTP endpoints + remote execution) +3. Maintaining the core implementation that's already working +""" + +import inspect +import logging +import asyncio +import aiohttp +from typing import List, Optional, Dict, Any + +from .endpoint import scan_endpoint_methods +from tetra_rp.protos.remote_execution import FunctionRequest +from .serialization import SerializationUtils +from .exceptions import ( + LoadBalancerSlsError, + LoadBalancerSlsConnectionError, + LoadBalancerSlsAuthenticationError, + LoadBalancerSlsExecutionError, + LoadBalancerSlsConfigurationError, +) + +log = logging.getLogger(__name__) + + +class LoadBalancerSls: + """ + LoadBalancerSls client for dual-capability remote execution. + + Usage: + # After manually deploying LoadBalancerSls container + runtime = LoadBalancerSls("https://your-deployed-endpoint.com") + + @runtime.remote_class + class MLModel: + @endpoint(methods=['POST']) + def predict(self, data): + return result + """ + + def __init__( + self, + endpoint_url: Optional[str] = None, + api_key: Optional[str] = None, + timeout: float = 300.0, + max_retries: int = 3, + retry_delay: float = 1.0, + **kwargs, + ): + """ + Initialize LoadBalancerSls client. + + Args: + endpoint_url: Base URL of deployed LoadBalancerSls container + e.g. "https://abc123-def456.rp.runpod.ai" + If None, will be loaded from config or environment + api_key: RunPod API key for authentication (or set RUNPOD_API_KEY env var) + **kwargs: Additional configuration parameters (timeout, max_retries, etc.) + """ + import os + + # Simple initialization without complex config system + self.endpoint_url = endpoint_url.rstrip("/") if endpoint_url else None + self.api_key = api_key or os.getenv("RUNPOD_API_KEY") + self.timeout = timeout + self.max_retries = max_retries + self.retry_delay = retry_delay + + if not self.endpoint_url: + raise LoadBalancerSlsConfigurationError("endpoint_url is required") + + self._session = None + self._health_checked = False + self._health_check_retries = 3 + + if not self.api_key: + log.warning( + "No API key provided. Set RUNPOD_API_KEY env var or pass api_key parameter." + ) + + log.info(f"LoadBalancerSls initialized with endpoint: {self.endpoint_url}") + + async def _get_session(self) -> aiohttp.ClientSession: + """Get or create HTTP session with authentication headers.""" + if self._session is None or self._session.closed: + headers = {"Content-Type": "application/json"} + if self.api_key: + headers["Authorization"] = f"Bearer {self.api_key}" + + # Simple timeout configuration like the original + timeout = aiohttp.ClientTimeout(total=self.timeout) + + self._session = aiohttp.ClientSession(headers=headers, timeout=timeout) + return self._session + + async def _make_request_with_retry( + self, + method: str, + url: str, + operation_name: str, + json_data: Optional[Dict[str, Any]] = None, + ) -> Dict[str, Any]: + """Make HTTP request with retry logic and proper error handling.""" + session = await self._get_session() + last_exception = None + + for attempt in range(self.max_retries + 1): + try: + if method.upper() == "GET": + async with session.get(url) as response: + return await self._handle_response(response, operation_name) + else: + async with session.post(url, json=json_data) as response: + return await self._handle_response(response, operation_name) + + except (aiohttp.ClientError, asyncio.TimeoutError) as e: + last_exception = e + if attempt == self.max_retries: + break + + wait_time = self.retry_delay * (2**attempt) # Exponential backoff + log.warning( + f"Request failed (attempt {attempt + 1}/{self.max_retries + 1}), retrying in {wait_time}s: {e}" + ) + await asyncio.sleep(wait_time) + + # If we get here, all retries failed + raise LoadBalancerSlsConnectionError( + self.endpoint_url, + f"Failed after {self.max_retries + 1} attempts: {last_exception}", + {"operation": operation_name, "last_error": str(last_exception)}, + ) + + async def _handle_response( + self, response: aiohttp.ClientResponse, operation_name: str + ) -> Dict[str, Any]: + """Handle HTTP response with proper error checking.""" + try: + if response.status == 401: + raise LoadBalancerSlsAuthenticationError( + "Invalid API key or authentication failed" + ) + elif response.status == 404: + raise LoadBalancerSlsConnectionError( + self.endpoint_url, + "Endpoint not found - check your endpoint URL", + {"status_code": response.status, "operation": operation_name}, + ) + elif response.status >= 400: + error_text = await response.text() + raise LoadBalancerSlsConnectionError( + self.endpoint_url, + f"HTTP {response.status}: {error_text}", + {"status_code": response.status, "operation": operation_name}, + ) + + response.raise_for_status() + return await response.json() + + except aiohttp.ContentTypeError as e: + raise LoadBalancerSlsConnectionError( + self.endpoint_url, + f"Invalid JSON response: {e}", + {"operation": operation_name}, + ) + except Exception as e: + if isinstance( + e, + ( + LoadBalancerSlsAuthenticationError, + LoadBalancerSlsConnectionError, + ), + ): + raise + raise LoadBalancerSlsConnectionError( + self.endpoint_url, + f"Unexpected error handling response: {e}", + {"operation": operation_name}, + ) + + def remote_class( + self, + dependencies: Optional[List[str]] = None, + system_dependencies: Optional[List[str]] = None, + ): + """ + Decorator for LoadBalancerSls classes. + + Args: + dependencies: Python packages to install + system_dependencies: System packages to install + """ + + def decorator(cls): + return DeploymentClassWrapper( + cls=cls, + runtime=self, + dependencies=dependencies or [], + system_dependencies=system_dependencies or [], + ) + + return decorator + + async def call_remote_method(self, request: FunctionRequest) -> Any: + """Call remote method via /execute endpoint.""" + try: + # Ensure endpoint is healthy before making the request + await self._ensure_healthy() + + url = f"{self.endpoint_url}/execute" + payload = {"input": request.model_dump(exclude_none=True)} + + log.debug(f"Remote call to {url} for method: {request.method_name}") + + result = await self._make_request_with_retry( + "POST", url, f"remote_execution_{request.method_name}", payload + ) + + if not result.get("success"): + error_msg = result.get("error", "Unknown execution error") + raise LoadBalancerSlsExecutionError( + request.method_name, error_msg, {"result": result} + ) + + # Deserialize result + if result.get("result"): + try: + return SerializationUtils.deserialize_result(result["result"]) + except Exception as e: + raise LoadBalancerSlsError( + f"Failed to deserialize result from {request.method_name}: {e}", + {"serialization_error": str(e)}, + ) + return None + + except ( + LoadBalancerSlsConnectionError, + LoadBalancerSlsExecutionError, + LoadBalancerSlsError, + ): + raise + except Exception as e: + raise LoadBalancerSlsError( + f"Unexpected error in remote method call: {e}", + {"method_name": request.method_name, "error": str(e)}, + ) + + async def call_http_endpoint(self, method_name: str, data: Dict[str, Any]) -> Any: + """Call HTTP endpoint directly.""" + try: + # Ensure endpoint is healthy before making the request + await self._ensure_healthy() + + url = f"{self.endpoint_url}/{method_name}" + + log.debug(f"HTTP call to {url} for method: {method_name}") + + result = await self._make_request_with_retry( + "POST", url, f"http_endpoint_{method_name}", data + ) + + return result + + except LoadBalancerSlsConnectionError: + raise + except Exception as e: + raise LoadBalancerSlsError( + f"Unexpected error in HTTP endpoint call: {e}", + {"method_name": method_name, "error": str(e)}, + ) + + async def _ensure_healthy(self) -> None: + """Ensure the endpoint is healthy before making requests.""" + if self._health_checked: + return + + log.debug("Performing automatic health check...") + + for attempt in range(self._health_check_retries): + try: + await self._perform_health_check() + self._health_checked = True + log.debug(f"Health check successful on attempt {attempt + 1}") + return + except Exception as e: + if attempt == self._health_check_retries - 1: + log.error(f"Health check failed after {self._health_check_retries} attempts: {e}") + raise LoadBalancerSlsConnectionError( + self.endpoint_url, + f"Endpoint health check failed after {self._health_check_retries} attempts: {e}", + {'attempts': self._health_check_retries, 'last_error': str(e)} + ) + else: + log.warning(f"Health check attempt {attempt + 1} failed, retrying...") + await asyncio.sleep(1.0 * (attempt + 1)) # Progressive backoff + + async def _perform_health_check(self) -> Dict[str, Any]: + """Perform a single health check.""" + url = f"{self.endpoint_url}/health" + log.debug(f"Health check: {url}") + return await self._make_request_with_retry("GET", url, "health_check") + + async def health_check(self) -> Dict[str, Any]: + """Check LoadBalancerSls health (public method).""" + try: + return await self._perform_health_check() + except LoadBalancerSlsConnectionError: + raise + except Exception as e: + raise LoadBalancerSlsError( + f"Unexpected error during health check: {e}", {"error": str(e)} + ) + + async def close(self): + """Close HTTP session.""" + if self._session and not self._session.closed: + await self._session.close() + + +class DeploymentClassWrapper: + """Class wrapper for LoadBalancerSls.""" + + def __init__( + self, + cls, + runtime: LoadBalancerSls, + dependencies: List[str], + system_dependencies: List[str], + ): + self._original_class = cls + self._runtime = runtime + self._dependencies = dependencies + self._system_dependencies = system_dependencies + + # Scan for @endpoint methods + self._endpoint_methods = scan_endpoint_methods(cls) + + log.info(f"Created deployment wrapper for {cls.__name__}") + log.info( + f"Found {len(self._endpoint_methods)} endpoint methods: {list(self._endpoint_methods.keys())}" + ) + + def __call__(self, *args, **kwargs): + """Create instance wrapper when class is instantiated.""" + return DeploymentInstanceWrapper( + wrapper=self, constructor_args=args, constructor_kwargs=kwargs + ) + + +class DeploymentInstanceWrapper: + """Instance wrapper for method calls.""" + + def __init__( + self, + wrapper: DeploymentClassWrapper, + constructor_args: tuple, + constructor_kwargs: dict, + ): + self._wrapper = wrapper + self._constructor_args = constructor_args + self._constructor_kwargs = constructor_kwargs + self._instance_id = f"{wrapper._original_class.__name__}_deployment" + + def __getattr__(self, name: str): + """Route method calls to appropriate interface.""" + + if name in self._wrapper._endpoint_methods: + # HTTP endpoint method + return self._create_http_proxy(name) + else: + # Remote execution method + return self._create_remote_proxy(name) + + def _create_http_proxy(self, method_name: str): + """Create HTTP method proxy.""" + + async def http_proxy(*args, **kwargs): + try: + # Convert args to kwargs + if args: + method_sig = inspect.signature( + getattr(self._wrapper._original_class, method_name) + ) + param_names = list(method_sig.parameters.keys())[1:] # Skip 'self' + for i, arg in enumerate(args): + if i < len(param_names): + kwargs[param_names[i]] = arg + + return await self._wrapper._runtime.call_http_endpoint( + method_name, kwargs + ) + + except Exception as e: + if isinstance(e, LoadBalancerSlsError): + raise + raise LoadBalancerSlsError( + f"Error in HTTP proxy for {method_name}: {e}", + { + "method_name": method_name, + "args": str(args), + "kwargs": str(kwargs), + }, + ) + + return http_proxy + + def _create_remote_proxy(self, method_name: str): + """Create remote execution proxy.""" + + async def remote_proxy(*args, **kwargs): + try: + # Create class execution request + request = self._create_function_request(method_name, args, kwargs) + return await self._wrapper._runtime.call_remote_method(request) + + except Exception as e: + if isinstance(e, LoadBalancerSlsError): + raise + raise LoadBalancerSlsError( + f"Error in remote proxy for {method_name}: {e}", + { + "method_name": method_name, + "args": str(args), + "kwargs": str(kwargs), + }, + ) + + return remote_proxy + + def _create_function_request( + self, method_name: str, args: tuple, kwargs: dict + ) -> FunctionRequest: + """Create FunctionRequest for remote execution.""" + try: + import textwrap + + # Get class source and clean it + class_source = inspect.getsource(self._wrapper._original_class) + clean_class_code = textwrap.dedent(class_source) + + # Remove @remote and @runtime.remote_class decorator lines + lines = clean_class_code.split("\n") + cleaned_lines = [] + skip_next = False + + for line in lines: + stripped = line.strip() + # Skip @remote(...) and @runtime.remote_class decorators + if stripped.startswith("@") and ( + "remote_class" in stripped + or stripped.startswith("@remote(") + or stripped == "@remote" + ): + skip_next = True + continue + elif skip_next and stripped == "": + skip_next = False + continue + elif skip_next and stripped.startswith("class"): + skip_next = False + cleaned_lines.append(line) + elif not skip_next: + cleaned_lines.append(line) + + clean_class_code = "\n".join(cleaned_lines) + + # Serialize arguments with error handling + try: + serialized_args = [ + SerializationUtils.serialize_result(arg) for arg in args + ] + serialized_kwargs = { + k: SerializationUtils.serialize_result(v) for k, v in kwargs.items() + } + + # Serialize constructor arguments + constructor_args = [ + SerializationUtils.serialize_result(arg) + for arg in self._constructor_args + ] + constructor_kwargs = { + k: SerializationUtils.serialize_result(v) + for k, v in self._constructor_kwargs.items() + } + except Exception as e: + raise LoadBalancerSlsError( + f"Failed to serialize arguments for {method_name}: {e}", + {"method_name": method_name, "serialization_error": str(e)}, + ) + + return FunctionRequest( + execution_type="class", + class_name=self._wrapper._original_class.__name__, + class_code=clean_class_code, + method_name=method_name, + args=serialized_args, + kwargs=serialized_kwargs, + constructor_args=constructor_args, + constructor_kwargs=constructor_kwargs, + dependencies=self._wrapper._dependencies, + system_dependencies=self._wrapper._system_dependencies, + instance_id=self._instance_id, + create_new_instance=True, + ) + + except Exception as e: + if isinstance(e, LoadBalancerSlsError): + raise + raise LoadBalancerSlsError( + f"Failed to create function request for {method_name}: {e}", + {"method_name": method_name, "error": str(e)}, + ) diff --git a/src/tetra_rp/core/resources/load_balancer_sls/endpoint.py b/src/tetra_rp/core/resources/load_balancer_sls/endpoint.py new file mode 100644 index 0000000..922da99 --- /dev/null +++ b/src/tetra_rp/core/resources/load_balancer_sls/endpoint.py @@ -0,0 +1,110 @@ +""" +HTTP Endpoint decorator for Runtime Two + +This module provides the @endpoint decorator that marks class methods +for HTTP endpoint exposure in Runtime Two. +""" + +from typing import List, Optional, Dict, Any, Callable +from functools import wraps + + +def endpoint(methods: List[str] = ["POST"], route: Optional[str] = None) -> Callable: + """ + Decorator to mark class methods as HTTP endpoints in LoadBalancerSls. + + Args: + methods: List of HTTP methods supported (GET, POST, PUT, DELETE, etc.) + route: Custom route path. If None, uses "/{method_name}" + + Raises: + ValueError: If methods is empty or contains invalid HTTP methods + TypeError: If methods is not a list or route is not a string + + Example: + @endpoint(methods=['GET', 'POST']) + def predict(self, data): + return self.model.predict(data) + + @endpoint(methods=['GET'], route='/health-check') + def health(self): + return {"status": "healthy"} + """ + # Input validation + if not isinstance(methods, list): + raise TypeError("methods must be a list") + + if not methods: + raise ValueError("methods cannot be empty") + + if route is not None and not isinstance(route, str): + raise TypeError("route must be a string or None") + + # Validate HTTP methods + valid_methods = {"GET", "POST", "PUT", "DELETE", "PATCH", "HEAD", "OPTIONS"} + invalid_methods = [m for m in methods if m.upper() not in valid_methods] + if invalid_methods: + raise ValueError( + f"Invalid HTTP methods: {invalid_methods}. Valid methods: {valid_methods}" + ) + + def decorator(func: Callable) -> Callable: + if not callable(func): + raise TypeError( + "endpoint decorator can only be applied to callable objects" + ) + + # Attach endpoint configuration to the method + func._endpoint_config = { + "methods": [m.upper() for m in methods], # Normalize to uppercase + "route": route or f"/{func.__name__}", + } + + @wraps(func) + def wrapper(*args, **kwargs): + return func(*args, **kwargs) + + # Copy the endpoint config to the wrapper + wrapper._endpoint_config = func._endpoint_config + + return wrapper + + return decorator + + +def scan_endpoint_methods(cls) -> Dict[str, Dict[str, Any]]: + """ + Scan a class for methods decorated with @endpoint. + + Args: + cls: Class to scan + + Returns: + Dict mapping method names to their endpoint configurations + + Raises: + TypeError: If cls is not a class + """ + import inspect + + if not inspect.isclass(cls): + raise TypeError("cls must be a class") + + endpoint_methods: Dict[str, Dict[str, Any]] = {} + + # Scan both functions and methods (bound and unbound) + for name, method in inspect.getmembers( + cls, predicate=lambda x: inspect.isfunction(x) or inspect.ismethod(x) + ): + if hasattr(method, "_endpoint_config"): + config = method._endpoint_config + # Validate configuration structure + if ( + not isinstance(config, dict) + or "methods" not in config + or "route" not in config + ): + continue + endpoint_methods[name] = config + + return endpoint_methods diff --git a/src/tetra_rp/core/resources/load_balancer_sls/exceptions.py b/src/tetra_rp/core/resources/load_balancer_sls/exceptions.py new file mode 100644 index 0000000..af487c5 --- /dev/null +++ b/src/tetra_rp/core/resources/load_balancer_sls/exceptions.py @@ -0,0 +1,48 @@ +""" +Custom exceptions for LoadBalancerSls functionality. + +This module defines specific exception types for different error conditions +that can occur during LoadBalancerSls operations. +""" + +from typing import Optional, Dict, Any + + +class LoadBalancerSlsError(Exception): + """Base exception for all LoadBalancerSls related errors.""" + + def __init__(self, message: str, details: Optional[Dict[str, Any]] = None): + super().__init__(message) + self.details = details or {} + + +class LoadBalancerSlsConnectionError(LoadBalancerSlsError): + """Raised when connection to LoadBalancerSls endpoint fails.""" + + def __init__( + self, endpoint_url: str, message: str, details: Optional[Dict[str, Any]] = None + ): + self.endpoint_url = endpoint_url + super().__init__(f"Connection failed to {endpoint_url}: {message}", details) + + +class LoadBalancerSlsAuthenticationError(LoadBalancerSlsError): + """Raised when authentication with LoadBalancerSls fails.""" + + pass + + +class LoadBalancerSlsExecutionError(LoadBalancerSlsError): + """Raised when remote execution fails.""" + + def __init__( + self, method_name: str, message: str, details: Optional[Dict[str, Any]] = None + ): + self.method_name = method_name + super().__init__(f"Execution failed for {method_name}: {message}", details) + + +class LoadBalancerSlsConfigurationError(LoadBalancerSlsError): + """Raised when configuration is invalid.""" + + pass diff --git a/src/tetra_rp/core/resources/load_balancer_sls/integration.py b/src/tetra_rp/core/resources/load_balancer_sls/integration.py new file mode 100644 index 0000000..69bd4c2 --- /dev/null +++ b/src/tetra_rp/core/resources/load_balancer_sls/integration.py @@ -0,0 +1,117 @@ +""" +LoadBalancerSls class execution handler. + +This module provides the functionality to handle class decoration and execution +for LoadBalancerSls (Load Balancer) mode, following the same design patterns +as the existing execute_class module. +""" + +import logging +from typing import List, Optional + +from tetra_rp.core.resources import ServerlessResource, ResourceManager +from .client import LoadBalancerSls + +log = logging.getLogger(__name__) + + +def create_load_balancer_sls_class( + cls, + resource_config: ServerlessResource, + dependencies: Optional[List[str]] = None, + system_dependencies: Optional[List[str]] = None, + extra: Optional[dict] = None, +): + """ + Create a LoadBalancerSls-enabled class following existing deployment patterns. + + This function creates a wrapper that deploys the LoadBalancerSls endpoint dynamically + using GraphQL and uses the deployed endpoint URL for LoadBalancerSls execution. + + Args: + cls: The class to be wrapped for LoadBalancerSls execution + resource_config: Configuration object specifying the serverless resource (with type="LB") + dependencies: List of pip packages to install + system_dependencies: List of system packages to install + extra: Additional parameters for execution + + Returns: + Wrapped class that uses LoadBalancerSls for execution + """ + extra = extra or {} + + # Follow the same deployment pattern as existing system + log.info(f"Creating LoadBalancerSls class for {cls.__name__}") + + # Verify this is a LoadBalancer resource + if getattr(resource_config, 'type', None) != 'LB': + raise ValueError(f"Expected LoadBalancer resource with type='LB', got type='{getattr(resource_config, 'type', None)}'") + + # Create a deployment wrapper that handles async deployment + class LoadBalancerSlsClassWrapper: + def __init__(self): + self._deployed_endpoint_url = None + self._deployment_lock = None + + async def _ensure_deployed(self): + """Ensure the endpoint is deployed and get the URL.""" + if self._deployed_endpoint_url: + return self._deployed_endpoint_url + + # Use ResourceManager to handle caching properly + resource_manager = ResourceManager() + deployed_resource = await resource_manager.get_or_deploy_resource(resource_config) + + # Construct the endpoint URL from the deployed endpoint ID + # Format: https://ENDPOINT_ID.api.runpod.ai + self._deployed_endpoint_url = f"https://{deployed_resource.id}.api.runpod.ai" + + log.info(f"LoadBalancerSls endpoint ready: {self._deployed_endpoint_url}") + return self._deployed_endpoint_url + + def __call__(self, *args, **kwargs): + """Create an instance that handles dynamic deployment.""" + return LoadBalancerSlsInstanceWrapper( + cls, self, dependencies, system_dependencies, args, kwargs + ) + + return LoadBalancerSlsClassWrapper() + + +class LoadBalancerSlsInstanceWrapper: + """Instance wrapper that handles async deployment and method routing.""" + + def __init__(self, original_cls, class_wrapper, dependencies, system_dependencies, args, kwargs): + self._original_cls = original_cls + self._class_wrapper = class_wrapper + self._dependencies = dependencies + self._system_dependencies = system_dependencies + self._args = args + self._kwargs = kwargs + self._runtime = None + + async def _get_runtime(self): + """Get or create the LoadBalancerSls runtime with deployed endpoint.""" + if not self._runtime: + endpoint_url = await self._class_wrapper._ensure_deployed() + self._runtime = LoadBalancerSls(endpoint_url=endpoint_url) + + # Apply the remote_class decorator + self._wrapped_class = self._runtime.remote_class( + dependencies=self._dependencies, + system_dependencies=self._system_dependencies + )(self._original_cls) + + # Create the actual instance + self._instance = self._wrapped_class(*self._args, **self._kwargs) + + return self._runtime, self._instance + + def __getattr__(self, name): + """Route method calls through the deployed runtime.""" + async def async_method_wrapper(*args, **kwargs): + runtime, instance = await self._get_runtime() + method = getattr(instance, name) + return await method(*args, **kwargs) + + return async_method_wrapper diff --git a/src/tetra_rp/core/resources/load_balancer_sls/serialization.py b/src/tetra_rp/core/resources/load_balancer_sls/serialization.py new file mode 100644 index 0000000..2042fb4 --- /dev/null +++ b/src/tetra_rp/core/resources/load_balancer_sls/serialization.py @@ -0,0 +1,146 @@ +import base64 +import cloudpickle +from typing import Any, List, Dict +import logging + +log = logging.getLogger(__name__) + + +class SerializationUtils: + """Utilities for serializing and deserializing function arguments and results. + + This class provides static methods for safe serialization/deserialization + using cloudpickle and base64 encoding. + """ + + @staticmethod + def serialize_result(result: Any) -> str: + """Serialize a result using cloudpickle and base64 encoding. + + Args: + result: The object to serialize + + Returns: + Base64-encoded string representation of the serialized object + + Raises: + SerializationError: If serialization fails + """ + try: + pickled_data = cloudpickle.dumps(result) + return base64.b64encode(pickled_data).decode("utf-8") + except Exception as e: + from .exceptions import LoadBalancerSlsError + + log.error(f"Failed to serialize result: {e}") + raise LoadBalancerSlsError( + f"Serialization failed: {e}", + {"error_type": type(e).__name__, "result_type": type(result).__name__}, + ) + + @staticmethod + def deserialize_result(encoded_result: str) -> Any: + """Deserialize a result from base64-encoded cloudpickle. + + Args: + encoded_result: Base64-encoded string to deserialize + + Returns: + The deserialized object + + Raises: + SerializationError: If deserialization fails + TypeError: If encoded_result is not a string + """ + if not isinstance(encoded_result, str): + raise TypeError( + f"encoded_result must be a string, got {type(encoded_result)}" + ) + + try: + decoded_data = base64.b64decode(encoded_result) + return cloudpickle.loads(decoded_data) + except Exception as e: + from .exceptions import LoadBalancerSlsError + + log.error(f"Failed to deserialize result: {e}") + raise LoadBalancerSlsError( + f"Deserialization failed: {e}", + {"error_type": type(e).__name__, "encoded_length": len(encoded_result)}, + ) + + @staticmethod + def deserialize_args(args: List[str]) -> List[Any]: + """Deserialize function arguments from base64-encoded cloudpickle. + + Args: + args: List of base64-encoded strings to deserialize + + Returns: + List of deserialized objects + + Raises: + SerializationError: If deserialization fails + TypeError: If args is not a list or contains non-strings + """ + if not isinstance(args, list): + raise TypeError(f"args must be a list, got {type(args)}") + + try: + result = [] + for i, arg in enumerate(args): + if not isinstance(arg, str): + raise TypeError(f"args[{i}] must be a string, got {type(arg)}") + result.append(SerializationUtils.deserialize_result(arg)) + return result + except Exception as e: + from .exceptions import LoadBalancerSlsError + + if isinstance(e, LoadBalancerSlsError): + raise + log.error(f"Failed to deserialize args: {e}") + raise LoadBalancerSlsError( + f"Failed to deserialize function arguments: {e}", + {"error_type": type(e).__name__, "args_count": len(args)}, + ) + + @staticmethod + def deserialize_kwargs(kwargs: Dict[str, str]) -> Dict[str, Any]: + """Deserialize function keyword arguments from base64-encoded cloudpickle. + + Args: + kwargs: Dict mapping parameter names to base64-encoded strings + + Returns: + Dict mapping parameter names to deserialized objects + + Raises: + SerializationError: If deserialization fails + TypeError: If kwargs is not a dict or contains invalid types + """ + if not isinstance(kwargs, dict): + raise TypeError(f"kwargs must be a dict, got {type(kwargs)}") + + try: + result = {} + for key, value in kwargs.items(): + if not isinstance(key, str): + raise TypeError( + f"kwargs key '{key}' must be a string, got {type(key)}" + ) + if not isinstance(value, str): + raise TypeError( + f"kwargs value for '{key}' must be a string, got {type(value)}" + ) + result[key] = SerializationUtils.deserialize_result(value) + return result + except Exception as e: + from .exceptions import LoadBalancerSlsError + + if isinstance(e, LoadBalancerSlsError): + raise + log.error(f"Failed to deserialize kwargs: {e}") + raise LoadBalancerSlsError( + f"Failed to deserialize keyword arguments: {e}", + {"error_type": type(e).__name__, "kwargs_keys": list(kwargs.keys())}, + ) diff --git a/src/tetra_rp/core/resources/load_balancer_sls_resource.py b/src/tetra_rp/core/resources/load_balancer_sls_resource.py new file mode 100644 index 0000000..2970b90 --- /dev/null +++ b/src/tetra_rp/core/resources/load_balancer_sls_resource.py @@ -0,0 +1,82 @@ +""" +LoadBalancerSls Resource Configuration + +This module provides the LoadBalancerSlsResource class for configuring +Load Balancer serverless endpoints with dual HTTP/remote execution capabilities. +""" + +import os +from pydantic import model_validator +from .serverless import ServerlessResource +from .template import PodTemplate, KeyValuePair +from .serverless import get_env_vars + +TETRA_IMAGE_TAG = os.environ.get("TETRA_IMAGE_TAG", "latest") +TETRA_GPU_IMAGE = os.environ.get( + "TETRA_GPU_IMAGE", f"runpod/tetra-rp:{TETRA_IMAGE_TAG}" +) +TETRA_CPU_IMAGE = os.environ.get( + "TETRA_CPU_IMAGE", f"runpod/tetra-rp-cpu:{TETRA_IMAGE_TAG}" +) + + +class LoadBalancerSlsResource(ServerlessResource): + """ + LoadBalancerSls resource configuration for dual-capability endpoints. + + This class extends ServerlessResource to provide Load Balancer functionality + that supports both HTTP endpoints (@endpoint methods) and remote execution. + """ + + @model_validator(mode="before") + @classmethod + def set_load_balancer_defaults(cls, data: dict): + """Set default configuration for LoadBalancerSls resources.""" + # Always set type to LB for Load Balancer mode + data["type"] = "LB" + + # Set default image based on instanceIds presence + # This ensures imageName is available for template creation + if not data.get("imageName"): + data["imageName"] = ( + TETRA_CPU_IMAGE if data.get("instanceIds") else TETRA_GPU_IMAGE + ) + + return data + + @property + def imageName(self): + """Lock imageName to always reflect instanceIds.""" + return ( + TETRA_CPU_IMAGE if getattr(self, "instanceIds", None) else TETRA_GPU_IMAGE + ) + + @property + def type(self): + """Always return 'LB' for LoadBalancerSls resources.""" + return "LB" + + @model_validator(mode="after") + def ensure_template_creation(self): + """Ensure template is created for LoadBalancerSls deployment.""" + # Call the parent class template creation logic + if not self.templateId and not self.template and self.imageName: + self.template = PodTemplate( + name=self.resource_id, + imageName=self.imageName, + env=KeyValuePair.from_dict(self.env or get_env_vars()), + ) + elif self.template: + self.template.name = f"{self.resource_id}__{self.template.resource_id}" + if self.imageName: + self.template.imageName = self.imageName + if self.env: + self.template.env = KeyValuePair.from_dict(self.env) + + return self + + def model_dump(self, **kwargs): + """Override model_dump to ensure type='LB' is included.""" + data = super().model_dump(**kwargs) + data["type"] = "LB" # Ensure type is always included in serialization + return data \ No newline at end of file diff --git a/src/tetra_rp/core/resources/network_volume.py b/src/tetra_rp/core/resources/network_volume.py index 1b2f728..240fa58 100644 --- a/src/tetra_rp/core/resources/network_volume.py +++ b/src/tetra_rp/core/resources/network_volume.py @@ -1,3 +1,4 @@ +import hashlib import logging from enum import Enum from typing import Optional @@ -25,10 +26,11 @@ class DataCenter(str, Enum): class NetworkVolume(DeployableResource): """ - NetworkVolume resource for creating and managing Runpod netowrk volumes. + NetworkVolume resource for creating and managing Runpod network volumes. This class handles the creation, deployment, and management of network volumes - that can be attached to serverless resources. + that can be attached to serverless resources. Supports idempotent deployment + where multiple volumes with the same name will reuse existing volumes. """ @@ -36,12 +38,21 @@ class NetworkVolume(DeployableResource): dataCenterId: DataCenter = Field(default=DataCenter.EU_RO_1, frozen=True) id: Optional[str] = Field(default=None) - name: Optional[str] = None - size: Optional[int] = Field(default=10, gt=0) # Size in GB + name: str + size: Optional[int] = Field(default=100, gt=0) # Size in GB def __str__(self) -> str: return f"{self.__class__.__name__}:{self.id}" + @property + def resource_id(self) -> str: + """Unique resource ID based on name and datacenter for idempotent behavior.""" + # Use name + datacenter to ensure idempotence + resource_type = self.__class__.__name__ + config_key = f"{self.name}:{self.dataCenterId.value}" + hash_obj = hashlib.md5(f"{resource_type}:{config_key}".encode()) + return f"{resource_type}_{hash_obj.hexdigest()}" + @field_serializer("dataCenterId") def serialize_data_center_id(self, value: Optional[DataCenter]) -> Optional[str]: """Convert DataCenter enum to string.""" @@ -61,24 +72,57 @@ def url(self) -> str: raise ValueError("Network volume ID is not set") return f"{CONSOLE_BASE_URL}/user/storage" - async def create_network_volume(self) -> str: + def is_deployed(self) -> bool: """ - Creates a network volume using the provided configuration. - Returns the volume ID. + Checks if the network volume resource is deployed and available. """ - async with RunpodRestClient() as client: - # Create the network volume - payload = self.model_dump(exclude_none=True) - result = await client.create_network_volume(payload) + return self.id is not None + + def _normalize_volumes_response(self, volumes_response) -> list: + """Normalize API response to list format.""" + if isinstance(volumes_response, list): + return volumes_response + return volumes_response.get("networkVolumes", []) + + def _find_matching_volume(self, existing_volumes: list) -> Optional[dict]: + """Find existing volume matching name and datacenter.""" + for volume_data in existing_volumes: + if ( + volume_data.get("name") == self.name + and volume_data.get("dataCenterId") == self.dataCenterId.value + ): + return volume_data + return None + + async def _find_existing_volume(self, client) -> Optional["NetworkVolume"]: + """Check for existing volume with same name and datacenter.""" + if not self.name: + return None + + log.debug(f"Checking for existing network volume with name: {self.name}") + volumes_response = await client.list_network_volumes() + existing_volumes = self._normalize_volumes_response(volumes_response) + + if matching_volume := self._find_matching_volume(existing_volumes): + log.info( + f"Found existing network volume: {matching_volume.get('id')} with name '{self.name}'" + ) + # Update our instance with the existing volume's ID + self.id = matching_volume.get("id") + return self + + return None + + async def _create_new_volume(self, client) -> "NetworkVolume": + """Create a new network volume.""" + log.debug(f"Creating new network volume: {self.name or 'unnamed'}") + payload = self.model_dump(exclude_none=True) + result = await client.create_network_volume(payload) if volume := self.__class__(**result): return volume - def is_deployed(self) -> bool: - """ - Checks if the network volume resource is deployed and available. - """ - return self.id is not None + raise ValueError("Deployment failed, no volume was created.") async def deploy(self) -> "DeployableResource": """ @@ -91,16 +135,13 @@ async def deploy(self) -> "DeployableResource": log.debug(f"{self} exists") return self - # Create the network volume async with RunpodRestClient() as client: - # Create the network volume - payload = self.model_dump(exclude_none=True) - result = await client.create_network_volume(payload) - - if volume := self.__class__(**result): - return volume + # Check for existing volume first + if existing_volume := await self._find_existing_volume(client): + return existing_volume - raise ValueError("Deployment failed, no volume was created.") + # No existing volume found, create a new one + return await self._create_new_volume(client) except Exception as e: log.error(f"{self} failed to deploy: {e}") diff --git a/src/tetra_rp/core/resources/serverless.py b/src/tetra_rp/core/resources/serverless.py index 75c2868..4fc1bfa 100644 --- a/src/tetra_rp/core/resources/serverless.py +++ b/src/tetra_rp/core/resources/serverless.py @@ -20,7 +20,7 @@ from .cpu import CpuInstanceType from .environment import EnvironmentVars from .gpu import GpuGroup -from .network_volume import NetworkVolume +from .network_volume import NetworkVolume, DataCenter from .template import KeyValuePair, PodTemplate @@ -65,6 +65,7 @@ class ServerlessResource(DeployableResource): _input_only = { "id", "cudaVersions", + "datacenter", "env", "gpus", "flashboot", @@ -78,8 +79,8 @@ class ServerlessResource(DeployableResource): flashboot: Optional[bool] = True gpus: Optional[List[GpuGroup]] = [GpuGroup.ANY] # for gpuIds imageName: Optional[str] = "" # for template.imageName - networkVolume: Optional[NetworkVolume] = None + datacenter: DataCenter = Field(default=DataCenter.EU_RO_1) # === Input Fields === executionTimeoutMs: Optional[int] = None @@ -134,8 +135,12 @@ def serialize_scaler_type( return value.value if value is not None else None @field_serializer("instanceIds") - def serialize_instance_ids(self, value: List[CpuInstanceType]) -> List[str]: + def serialize_instance_ids( + self, value: Optional[List[CpuInstanceType]] + ) -> Optional[List[str]]: """Convert CpuInstanceType enums to strings.""" + if value is None: + return None return [item.value if hasattr(item, "value") else str(item) for item in value] @field_validator("gpus") @@ -152,6 +157,17 @@ def sync_input_fields(self): if self.flashboot: self.name += "-fb" + # Sync datacenter to locations field for API + if not self.locations: + self.locations = self.datacenter.value + + # Validate datacenter consistency between endpoint and network volume + if self.networkVolume and self.networkVolume.dataCenterId != self.datacenter: + raise ValueError( + f"Network volume datacenter ({self.networkVolume.dataCenterId.value}) " + f"must match endpoint datacenter ({self.datacenter.value})" + ) + if self.networkVolume and self.networkVolume.is_created: # Volume already exists, use its ID self.networkVolumeId = self.networkVolume.id @@ -193,17 +209,14 @@ def _sync_input_fields_cpu(self): async def _ensure_network_volume_deployed(self) -> None: """ - Ensures network volume is deployed and ready. + Ensures network volume is deployed and ready if one is specified. Updates networkVolumeId with the deployed volume ID. """ if self.networkVolumeId: return - if not self.networkVolume: - log.info(f"{self.name} requires a default network volume") - self.networkVolume = NetworkVolume(name=f"{self.name}-volume") - - if deployedNetworkVolume := await self.networkVolume.deploy(): + if self.networkVolume: + deployedNetworkVolume = await self.networkVolume.deploy() self.networkVolumeId = deployedNetworkVolume.id def is_deployed(self) -> bool: @@ -247,62 +260,6 @@ async def deploy(self) -> "DeployableResource": log.error(f"{self} failed to deploy: {e}") raise - async def is_ready_for_requests(self, give_up_threshold=10) -> bool: - """ - Asynchronously checks if the serverless resource is ready to handle - requests by polling its health endpoint. - - Args: - give_up_threshold (int, optional): The maximum number of polling - attempts before giving up and raising an error. Defaults to 10. - - Returns: - bool: True if the serverless resource is ready for requests. - - Raises: - ValueError: If the serverless resource is not deployed. - RuntimeError: If the health status is THROTTLED, UNHEALTHY, or UNKNOWN - after exceeding the give_up_threshold. - """ - if not self.is_deployed(): - raise ValueError("Serverless is not deployed") - - log.debug(f"{self} | API /health") - - current_pace = 0 - attempt = 0 - - # Poll for health status - while True: - await asyncio.sleep(current_pace) - - health = await asyncio.to_thread(self.endpoint.health) - health = ServerlessHealth(**health) - - if health.is_ready: - return True - else: - # nothing changed, increase the gap - attempt += 1 - indicator = "." * (attempt // 2) if attempt % 2 == 0 else "" - if indicator: - log.info(f"{self} | {indicator}") - - status = health.workers.status - if status in [ - Status.THROTTLED, - Status.UNHEALTHY, - Status.UNKNOWN, - ]: - log.debug(f"{self} | Health {status.value}") - - if attempt >= give_up_threshold: - # Give up - raise RuntimeError(f"Health {status.value}") - - # Adjust polling pace appropriately - current_pace = get_backoff_delay(attempt) - async def run_sync(self, payload: Dict[str, Any]) -> "JobOutput": """ Executes a serverless endpoint request with the payload. @@ -319,9 +276,6 @@ def _fetch_job(): try: # log.debug(f"[{log_group}] Payload: {payload}") - # Poll until requests can be sent - await self.is_ready_for_requests() - log.info(f"{self} | API /run_sync") response = await asyncio.to_thread(_fetch_job) return JobOutput(**response) @@ -346,9 +300,6 @@ async def run(self, payload: Dict[str, Any]) -> "JobOutput": try: # log.debug(f"[{self}] Payload: {payload}") - # Poll until requests can be sent - await self.is_ready_for_requests() - # Create a job using the endpoint log.info(f"{self} | API /run") job = await asyncio.to_thread(self.endpoint.run, request_input=payload) @@ -366,9 +317,8 @@ async def run(self, payload: Dict[str, Any]) -> "JobOutput": while True: await asyncio.sleep(current_pace) - if await self.is_ready_for_requests(): - # Check job status - job_status = await asyncio.to_thread(job.status) + # Check job status + job_status = await asyncio.to_thread(job.status) if last_status == job_status: # nothing changed, increase the gap diff --git a/src/tetra_rp/core/resources/template.py b/src/tetra_rp/core/resources/template.py index 966db74..a4c0a25 100644 --- a/src/tetra_rp/core/resources/template.py +++ b/src/tetra_rp/core/resources/template.py @@ -22,7 +22,7 @@ def from_dict(cls, data: Dict[str, str]) -> "List[KeyValuePair]": class PodTemplate(BaseResource): advancedStart: Optional[bool] = False config: Optional[Dict[str, Any]] = {} - containerDiskInGb: Optional[int] = 10 + containerDiskInGb: Optional[int] = 64 containerRegistryAuthId: Optional[str] = "" dockerArgs: Optional[str] = "" env: Optional[List[KeyValuePair]] = [] diff --git a/src/tetra_rp/core/utils/constants.py b/src/tetra_rp/core/utils/constants.py new file mode 100644 index 0000000..bd27e89 --- /dev/null +++ b/src/tetra_rp/core/utils/constants.py @@ -0,0 +1,10 @@ +""" +Constants for utility modules and caching configurations. + +This module contains configurable constants used across the tetra-rp codebase +to ensure consistency and easy maintenance. +""" + +# Cache key generation constants +HASH_TRUNCATE_LENGTH = 16 # Length to truncate hash values for cache keys +UUID_FALLBACK_LENGTH = 8 # Length to truncate UUID values for fallback keys diff --git a/src/tetra_rp/core/utils/lru_cache.py b/src/tetra_rp/core/utils/lru_cache.py new file mode 100644 index 0000000..3a0eeb4 --- /dev/null +++ b/src/tetra_rp/core/utils/lru_cache.py @@ -0,0 +1,75 @@ +""" +LRU Cache implementation using OrderedDict for memory-efficient caching with automatic eviction. + +This module provides a Least Recently Used (LRU) cache implementation that automatically +manages memory by evicting the least recently used items when the cache exceeds its +maximum size limit. It maintains O(1) access time and provides a dict-like interface. +Thread-safe for concurrent access. +""" + +import threading +from collections import OrderedDict +from typing import Any, Dict, Optional + + +class LRUCache: + """ + A Least Recently Used (LRU) cache implementation using OrderedDict. + + Automatically evicts the least recently used items when the cache exceeds + the maximum size limit. Provides dict-like interface with O(1) operations. + Thread-safe for concurrent access using RLock. + + Args: + max_size: Maximum number of items to store in cache (default: 1000) + """ + + def __init__(self, max_size: int = 1000): + self.max_size = max_size + self.cache = OrderedDict() + self._lock = threading.RLock() + + def get(self, key: str) -> Optional[Dict[str, Any]]: + """Get item from cache, moving it to end (most recent) if found.""" + with self._lock: + if key in self.cache: + self.cache.move_to_end(key) + return self.cache[key] + return None + + def set(self, key: str, value: Dict[str, Any]) -> None: + """Set item in cache, evicting oldest if at capacity.""" + with self._lock: + if key in self.cache: + self.cache.move_to_end(key) + else: + if len(self.cache) >= self.max_size: + self.cache.popitem(last=False) # Remove oldest + self.cache[key] = value + + def clear(self) -> None: + """Clear all items from cache.""" + with self._lock: + self.cache.clear() + + def __contains__(self, key: str) -> bool: + """Check if key exists in cache.""" + with self._lock: + return key in self.cache + + def __len__(self) -> int: + """Return number of items in cache.""" + with self._lock: + return len(self.cache) + + def __getitem__(self, key: str) -> Dict[str, Any]: + """Get item using bracket notation, moving to end if found.""" + with self._lock: + if key in self.cache: + self.cache.move_to_end(key) + return self.cache[key] + raise KeyError(key) + + def __setitem__(self, key: str, value: Dict[str, Any]) -> None: + """Set item using bracket notation.""" + self.set(key, value) diff --git a/src/tetra_rp/execute_class.py b/src/tetra_rp/execute_class.py index 9830c1b..6ffa484 100644 --- a/src/tetra_rp/execute_class.py +++ b/src/tetra_rp/execute_class.py @@ -1,18 +1,97 @@ +""" +Class execution module for remote class instantiation and method calls. + +This module provides functionality to create and execute remote class instances, +with automatic caching of class serialization data to improve performance and +prevent memory leaks through LRU eviction. +""" + import base64 +import hashlib import inspect import logging import textwrap import uuid -from typing import List, Type, Optional +from typing import List, Optional, Type import cloudpickle from .core.resources import ResourceManager, ServerlessResource +from .core.utils.constants import HASH_TRUNCATE_LENGTH, UUID_FALLBACK_LENGTH +from .core.utils.lru_cache import LRUCache from .protos.remote_execution import FunctionRequest from .stubs import stub_resource log = logging.getLogger(__name__) +# Global in-memory cache for serialized class data with LRU eviction +_SERIALIZED_CLASS_CACHE = LRUCache(max_size=1000) + + +def serialize_constructor_args(args, kwargs): + """Serialize constructor arguments for caching.""" + serialized_args = [ + base64.b64encode(cloudpickle.dumps(arg)).decode("utf-8") for arg in args + ] + serialized_kwargs = { + k: base64.b64encode(cloudpickle.dumps(v)).decode("utf-8") + for k, v in kwargs.items() + } + return serialized_args, serialized_kwargs + + +def get_or_cache_class_data( + cls: Type, args: tuple, kwargs: dict, cache_key: str +) -> str: + """Get class code from cache or extract and cache it.""" + if cache_key not in _SERIALIZED_CLASS_CACHE: + # Cache miss - extract and cache class code + clean_class_code = extract_class_code_simple(cls) + + try: + serialized_args, serialized_kwargs = serialize_constructor_args( + args, kwargs + ) + + # Cache the serialized data + _SERIALIZED_CLASS_CACHE.set( + cache_key, + { + "class_code": clean_class_code, + "constructor_args": serialized_args, + "constructor_kwargs": serialized_kwargs, + }, + ) + + log.debug(f"Cached class data for {cls.__name__} with key: {cache_key}") + + except (TypeError, AttributeError, OSError) as e: + log.warning( + f"Could not serialize constructor arguments for {cls.__name__}: {e}" + ) + log.warning( + f"Skipping constructor argument caching for {cls.__name__} due to unserializable arguments" + ) + + # Store minimal cache entry to avoid repeated attempts + _SERIALIZED_CLASS_CACHE.set( + cache_key, + { + "class_code": clean_class_code, + "constructor_args": None, # Signal that args couldn't be cached + "constructor_kwargs": None, + }, + ) + + return clean_class_code + else: + # Cache hit - retrieve cached data + cached_data = _SERIALIZED_CLASS_CACHE.get(cache_key) + log.debug( + f"Retrieved cached class data for {cls.__name__} with key: {cache_key}" + ) + return cached_data["class_code"] + def extract_class_code_simple(cls: Type) -> str: """Extract clean class code without decorators and proper indentation""" @@ -78,11 +157,53 @@ def __init__(self, *args, **kwargs): return fallback_code +def get_class_cache_key( + cls: Type, constructor_args: tuple, constructor_kwargs: dict +) -> str: + """Generate a cache key for class serialization based on class source and constructor args. + + Args: + cls: The class type to generate a key for + constructor_args: Positional arguments passed to class constructor + constructor_kwargs: Keyword arguments passed to class constructor + + Returns: + A unique cache key string, or a UUID-based fallback if serialization fails + + Note: + Falls back to UUID-based key if constructor arguments cannot be serialized, + which disables caching benefits but maintains functionality. + """ + try: + # Get class source code for hashing + class_source = extract_class_code_simple(cls) + + # Create hash of class source + class_hash = hashlib.sha256(class_source.encode()).hexdigest() + + # Create hash of constructor arguments + args_data = cloudpickle.dumps((constructor_args, constructor_kwargs)) + args_hash = hashlib.sha256(args_data).hexdigest() + + # Combine hashes for final cache key + cache_key = f"{cls.__name__}_{class_hash[:HASH_TRUNCATE_LENGTH]}_{args_hash[:HASH_TRUNCATE_LENGTH]}" + + log.debug(f"Generated cache key for {cls.__name__}: {cache_key}") + return cache_key + + except (TypeError, AttributeError, OSError) as e: + log.warning(f"Could not generate cache key for {cls.__name__}: {e}") + # Fallback to basic key without caching benefits + return f"{cls.__name__}_{uuid.uuid4().hex[:UUID_FALLBACK_LENGTH]}" + + def create_remote_class( cls: Type, resource_config: ServerlessResource, dependencies: Optional[List[str]], system_dependencies: Optional[List[str]], + accelerate_downloads: bool, + hf_models_to_cache: Optional[List[str]], extra: dict, ): """ @@ -100,13 +221,21 @@ def __init__(self, *args, **kwargs): self._resource_config = resource_config self._dependencies = dependencies or [] self._system_dependencies = system_dependencies or [] + self._accelerate_downloads = accelerate_downloads + self._hf_models_to_cache = hf_models_to_cache self._extra = extra self._constructor_args = args self._constructor_kwargs = kwargs - self._instance_id = f"{cls.__name__}_{uuid.uuid4().hex[:8]}" + self._instance_id = ( + f"{cls.__name__}_{uuid.uuid4().hex[:UUID_FALLBACK_LENGTH]}" + ) self._initialized = False - self._clean_class_code = extract_class_code_simple(cls) + # Generate cache key and get class code + self._cache_key = get_class_cache_key(cls, args, kwargs) + self._clean_class_code = get_or_cache_class_data( + cls, args, kwargs, self._cache_key + ) log.debug(f"Created remote class wrapper for {cls.__name__}") @@ -136,34 +265,49 @@ def __getattr__(self, name): async def method_proxy(*args, **kwargs): await self._ensure_initialized() - # Create class method request - - # class_code = inspect.getsource(self._class_type) - class_code = self._clean_class_code + # Get cached data + cached_data = _SERIALIZED_CLASS_CACHE.get(self._cache_key) + + # Serialize method arguments (these change per call, so no caching) + method_args = [ + base64.b64encode(cloudpickle.dumps(arg)).decode("utf-8") + for arg in args + ] + method_kwargs = { + k: base64.b64encode(cloudpickle.dumps(v)).decode("utf-8") + for k, v in kwargs.items() + } + + # Handle constructor args - use cached if available, else serialize fresh + if cached_data["constructor_args"] is not None: + # Use cached constructor args + constructor_args = cached_data["constructor_args"] + constructor_kwargs = cached_data["constructor_kwargs"] + else: + # Constructor args couldn't be cached due to serialization issues + # Serialize them fresh for each method call (fallback behavior) + constructor_args = [ + base64.b64encode(cloudpickle.dumps(arg)).decode("utf-8") + for arg in self._constructor_args + ] + constructor_kwargs = { + k: base64.b64encode(cloudpickle.dumps(v)).decode("utf-8") + for k, v in self._constructor_kwargs.items() + } request = FunctionRequest( execution_type="class", class_name=self._class_type.__name__, - class_code=class_code, + class_code=cached_data["class_code"], method_name=name, - args=[ - base64.b64encode(cloudpickle.dumps(arg)).decode("utf-8") - for arg in args - ], - kwargs={ - k: base64.b64encode(cloudpickle.dumps(v)).decode("utf-8") - for k, v in kwargs.items() - }, - constructor_args=[ - base64.b64encode(cloudpickle.dumps(arg)).decode("utf-8") - for arg in self._constructor_args - ], - constructor_kwargs={ - k: base64.b64encode(cloudpickle.dumps(v)).decode("utf-8") - for k, v in self._constructor_kwargs.items() - }, + args=method_args, + kwargs=method_kwargs, + constructor_args=constructor_args, + constructor_kwargs=constructor_kwargs, dependencies=self._dependencies, system_dependencies=self._system_dependencies, + accelerate_downloads=self._accelerate_downloads, + hf_models_to_cache=self._hf_models_to_cache, instance_id=self._instance_id, create_new_instance=not hasattr( self, "_stub" diff --git a/src/tetra_rp/protos/remote_execution.proto b/src/tetra_rp/protos/remote_execution.proto index 39341de..c328576 100644 --- a/src/tetra_rp/protos/remote_execution.proto +++ b/src/tetra_rp/protos/remote_execution.proto @@ -25,6 +25,10 @@ message FunctionRequest { string method_name = 12; // Name of the method to call on the class instance (default: "__call__") optional string instance_id = 13; // Unique identifier for the class instance (for persistence) bool create_new_instance = 14; // Whether to create a new instance or reuse existing one + + // Download acceleration fields + optional bool accelerate_downloads = 19; // Enable download acceleration for dependencies and models (default: true) + repeated string hf_models_to_cache = 20; // List of HuggingFace model IDs to pre-cache using acceleration } // The response message containing the execution result or error diff --git a/src/tetra_rp/protos/remote_execution.py b/src/tetra_rp/protos/remote_execution.py index 6fc80dd..3226faf 100644 --- a/src/tetra_rp/protos/remote_execution.py +++ b/src/tetra_rp/protos/remote_execution.py @@ -1,11 +1,22 @@ -# TODO: generate using betterproto +"""Remote execution protocol definitions using Pydantic models. + +This module defines the request/response protocol for remote function and class execution. +The models align with the protobuf schema for communication with remote workers. +""" + from abc import ABC, abstractmethod -from typing import Dict, List, Optional +from typing import Any, Dict, List, Optional from pydantic import BaseModel, Field, model_validator class FunctionRequest(BaseModel): + """Request model for remote function or class execution. + + Supports both function-based execution and class instantiation with method calls. + All serialized data (args, kwargs, etc.) are base64-encoded cloudpickle strings. + """ + # MADE OPTIONAL - can be None for class-only execution function_name: Optional[str] = Field( default=None, @@ -15,19 +26,19 @@ class FunctionRequest(BaseModel): default=None, description="Source code of the function to execute", ) - args: List = Field( + args: List[str] = Field( default_factory=list, description="List of base64-encoded cloudpickle-serialized arguments", ) - kwargs: Dict = Field( + kwargs: Dict[str, str] = Field( default_factory=dict, description="Dictionary of base64-encoded cloudpickle-serialized keyword arguments", ) - dependencies: Optional[List] = Field( + dependencies: Optional[List[str]] = Field( default=None, description="Optional list of pip packages to install before executing the function", ) - system_dependencies: Optional[List] = Field( + system_dependencies: Optional[List[str]] = Field( default=None, description="Optional list of system dependencies to install before executing the function", ) @@ -44,11 +55,11 @@ class FunctionRequest(BaseModel): default=None, description="Source code of the class to instantiate (for class execution)", ) - constructor_args: Optional[List] = Field( + constructor_args: List[str] = Field( default_factory=list, description="List of base64-encoded cloudpickle-serialized constructor arguments", ) - constructor_kwargs: Optional[Dict] = Field( + constructor_kwargs: Dict[str, str] = Field( default_factory=dict, description="Dictionary of base64-encoded cloudpickle-serialized constructor keyword arguments", ) @@ -65,6 +76,16 @@ class FunctionRequest(BaseModel): description="Whether to create a new instance or reuse existing one", ) + # Download acceleration fields + accelerate_downloads: bool = Field( + default=True, + description="Enable download acceleration for dependencies and models", + ) + hf_models_to_cache: Optional[List[str]] = Field( + default=None, + description="List of HuggingFace model IDs to pre-cache using acceleration", + ) + @model_validator(mode="after") def validate_execution_requirements(self) -> "FunctionRequest": """Validate that required fields are provided based on execution_type""" @@ -92,7 +113,12 @@ def validate_execution_requirements(self) -> "FunctionRequest": class FunctionResponse(BaseModel): - # EXISTING FIELDS (unchanged) + """Response model for remote function or class execution results. + + Contains execution results, error information, and metadata about class instances + when applicable. The result field contains base64-encoded cloudpickle data. + """ + success: bool = Field( description="Indicates if the function execution was successful", ) @@ -108,12 +134,10 @@ class FunctionResponse(BaseModel): default=None, description="Captured standard output from the function execution", ) - - # NEW FIELDS FOR CLASS SUPPORT instance_id: Optional[str] = Field( default=None, description="ID of the class instance that was used/created" ) - instance_info: Optional[Dict] = Field( + instance_info: Optional[Dict[str, Any]] = Field( default=None, description="Metadata about the class instance (creation time, call count, etc.)", ) diff --git a/src/tetra_rp/stubs/live_serverless.py b/src/tetra_rp/stubs/live_serverless.py index c8bbf67..1705530 100644 --- a/src/tetra_rp/stubs/live_serverless.py +++ b/src/tetra_rp/stubs/live_serverless.py @@ -60,13 +60,24 @@ class LiveServerlessStub(RemoteExecutorStub): def __init__(self, server: LiveServerless): self.server = server - def prepare_request(self, func, dependencies, system_dependencies, *args, **kwargs): + def prepare_request( + self, + func, + dependencies, + system_dependencies, + accelerate_downloads, + hf_models_to_cache, + *args, + **kwargs, + ): source, src_hash = get_function_source(func) request = { "function_name": func.__name__, "dependencies": dependencies, "system_dependencies": system_dependencies, + "accelerate_downloads": accelerate_downloads, + "hf_models_to_cache": hf_models_to_cache, } # check if the function is already cached diff --git a/src/tetra_rp/stubs/registry.py b/src/tetra_rp/stubs/registry.py index 778ea3d..273b2bf 100644 --- a/src/tetra_rp/stubs/registry.py +++ b/src/tetra_rp/stubs/registry.py @@ -26,13 +26,25 @@ def _(resource, **extra): # Function execution async def stubbed_resource( - func, dependencies, system_dependencies, *args, **kwargs + func, + dependencies, + system_dependencies, + accelerate_downloads, + hf_models_to_cache, + *args, + **kwargs, ) -> dict: if args == (None,): args = [] request = stub.prepare_request( - func, dependencies, system_dependencies, *args, **kwargs + func, + dependencies, + system_dependencies, + accelerate_downloads, + hf_models_to_cache, + *args, + **kwargs, ) response = await stub.ExecuteFunction(request) return stub.handle_response(response) @@ -51,12 +63,14 @@ async def execute_class_method(request): @stub_resource.register(ServerlessEndpoint) def _(resource, **extra): async def stubbed_resource( - func, dependencies, system_dependencies, *args, **kwargs + func, + dependencies, + system_dependencies, + accelerate_downloads, + hf_models_to_cache, + *args, + **kwargs, ) -> dict: - if args == (None,): - # cleanup: when the function is called with no args - args = [] - if dependencies or system_dependencies: log.warning( "Dependencies are not supported for ServerlessEndpoint. " @@ -74,12 +88,14 @@ async def stubbed_resource( @stub_resource.register(CpuServerlessEndpoint) def _(resource, **extra): async def stubbed_resource( - func, dependencies, system_dependencies, *args, **kwargs + func, + dependencies, + system_dependencies, + accelerate_downloads, + hf_models_to_cache, + *args, + **kwargs, ) -> dict: - if args == (None,): - # cleanup: when the function is called with no args - args = [] - if dependencies or system_dependencies: log.warning( "Dependencies are not supported for CpuServerlessEndpoint. " diff --git a/tests/integration/test_class_execution_integration.py b/tests/integration/test_class_execution_integration.py index 545e892..93b3052 100644 --- a/tests/integration/test_class_execution_integration.py +++ b/tests/integration/test_class_execution_integration.py @@ -204,7 +204,7 @@ def get_state(self): } RemoteCounter = create_remote_class( - StatefulCounter, self.mock_resource_config, [], [], {} + StatefulCounter, self.mock_resource_config, [], [], True, None, {} ) counter = RemoteCounter(5) @@ -276,7 +276,7 @@ def get_completed_count(self): return self.tasks_completed RemoteWorker = create_remote_class( - AsyncWorker, self.mock_resource_config, [], [], {} + AsyncWorker, self.mock_resource_config, [], [], True, None, {} ) worker = RemoteWorker() @@ -374,8 +374,10 @@ def process_with_config(self, input_data): ConfigurableModel, self.mock_resource_config, ["scikit-learn", "pandas"], - [], - {}, + [], # system_dependencies + True, # accelerate_downloads + None, # hf_models_to_cache + {}, # extra ) model = RemoteModel( @@ -476,7 +478,7 @@ def get_service_info(self): api_keys = ["key1", "key2", "key3"] RemoteDataService = create_remote_class( - DataService, self.mock_resource_config, ["psycopg2"], [], {} + DataService, self.mock_resource_config, ["psycopg2"], [], True, None, {} ) service = RemoteDataService(db_conn, cache_conf, api_keys=api_keys) @@ -547,7 +549,7 @@ def safe_method(self): return "This always works" RemoteErrorProneClass = create_remote_class( - ErrorProneClass, self.mock_resource_config, [], [], {} + ErrorProneClass, self.mock_resource_config, [], [], True, None, {} ) error_instance = RemoteErrorProneClass(should_fail=True) @@ -583,7 +585,7 @@ def simple_method(self): return "hello" RemoteSimpleClass = create_remote_class( - SimpleClass, self.mock_resource_config, [], [], {} + SimpleClass, self.mock_resource_config, [], [], True, None, {} ) instance = RemoteSimpleClass() @@ -619,7 +621,7 @@ def process_file(self): with tempfile.NamedTemporaryFile() as temp_file: RemoteUnserializableClass = create_remote_class( - UnserializableClass, self.mock_resource_config, [], [], {} + UnserializableClass, self.mock_resource_config, [], [], True, None, {} ) # This should not fail during initialization (lazy serialization) @@ -666,6 +668,8 @@ def slow_method(self, duration): self.mock_resource_config, [], [], + True, + None, {"timeout": 5}, # 5 second timeout ) @@ -700,6 +704,8 @@ def test_invalid_class_type_error(self): self.mock_resource_config, [], [], + True, + None, {}, ) @@ -708,7 +714,9 @@ def not_a_class(): pass with pytest.raises(TypeError, match="Expected a class"): - create_remote_class(not_a_class, self.mock_resource_config, [], [], {}) + create_remote_class( + not_a_class, self.mock_resource_config, [], [], True, None, {} + ) # Note: Testing class without __name__ is not practically possible # since Python classes always have __name__ attribute @@ -729,6 +737,8 @@ def use_dependency(self): self.mock_resource_config, ["nonexistent-package==999.999.999"], # Invalid package [], + True, + None, {}, ) diff --git a/tests/unit/resources/test_network_volume.py b/tests/unit/resources/test_network_volume.py new file mode 100644 index 0000000..a935022 --- /dev/null +++ b/tests/unit/resources/test_network_volume.py @@ -0,0 +1,154 @@ +""" +Unit tests for NetworkVolume idempotent behavior. +""" + +from unittest.mock import AsyncMock, patch +import pytest + +from tetra_rp.core.resources.network_volume import NetworkVolume, DataCenter + + +class TestNetworkVolumeIdempotent: + """Test NetworkVolume idempotent deployment behavior.""" + + @pytest.fixture + def mock_runpod_client(self): + """Mock RunpodRestClient.""" + client = AsyncMock() + # Mock both methods we need + client.list_network_volumes = AsyncMock() + client.create_network_volume = AsyncMock() + return client + + @pytest.fixture + def sample_volume_data(self): + """Sample volume data as returned by API.""" + return { + "id": "vol-123456", + "name": "deanq", + "dataCenterId": "EU-RO-1", + "size": 50, + } + + @pytest.mark.asyncio + async def test_deploy_creates_new_volume_when_none_exists( + self, mock_runpod_client, sample_volume_data + ): + """Test that deploy creates a new volume when none with the same name exists.""" + # Arrange + volume = NetworkVolume(name="deanq", size=50) + + # Mock no existing volumes + mock_runpod_client.list_network_volumes.return_value = [] + mock_runpod_client.create_network_volume.return_value = sample_volume_data + + with patch( + "tetra_rp.core.resources.network_volume.RunpodRestClient" + ) as mock_client_class: + mock_client_class.return_value.__aenter__.return_value = mock_runpod_client + mock_client_class.return_value.__aexit__ = AsyncMock() + # Act + result = await volume.deploy() + + # Assert + mock_runpod_client.list_network_volumes.assert_called_once() + mock_runpod_client.create_network_volume.assert_called_once() + assert result.id == "vol-123456" + assert result.name == "deanq" + + @pytest.mark.asyncio + async def test_deploy_reuses_existing_volume_with_same_name( + self, mock_runpod_client, sample_volume_data + ): + """Test that deploy reuses an existing volume with the same name.""" + # Arrange + volume = NetworkVolume(name="deanq", size=50) + + # Mock existing volume with same name + mock_runpod_client.list_network_volumes.return_value = [sample_volume_data] + + with patch( + "tetra_rp.core.resources.network_volume.RunpodRestClient" + ) as mock_client_class: + mock_client_class.return_value.__aenter__.return_value = mock_runpod_client + mock_client_class.return_value.__aexit__ = AsyncMock() + # Act + result = await volume.deploy() + + # Assert + mock_runpod_client.list_network_volumes.assert_called_once() + mock_runpod_client.create_network_volume.assert_not_called() # Should not create new volume + assert result.id == "vol-123456" + assert result.name == "deanq" + + @pytest.mark.asyncio + async def test_deploy_creates_new_when_existing_has_different_datacenter( + self, mock_runpod_client, sample_volume_data + ): + """Test that deploy creates new volume when existing has different datacenter.""" + # Arrange + volume = NetworkVolume(name="deanq", size=50, dataCenterId=DataCenter.EU_RO_1) + + # Mock existing volume with same name but different datacenter + existing_volume_data = { + **sample_volume_data, + "dataCenterId": "US-WEST-1", # Different datacenter + } + mock_runpod_client.list_network_volumes.return_value = [existing_volume_data] + mock_runpod_client.create_network_volume.return_value = sample_volume_data + + with patch( + "tetra_rp.core.resources.network_volume.RunpodRestClient" + ) as mock_client_class: + mock_client_class.return_value.__aenter__.return_value = mock_runpod_client + mock_client_class.return_value.__aexit__ = AsyncMock() + # Act + result = await volume.deploy() + + # Assert + mock_runpod_client.list_network_volumes.assert_called_once() + mock_runpod_client.create_network_volume.assert_called_once() # Should create new volume + assert result.id == "vol-123456" + + @pytest.mark.asyncio + async def test_deploy_multiple_times_same_name_is_idempotent( + self, mock_runpod_client, sample_volume_data + ): + """Test that multiple deployments with same name are idempotent.""" + # Arrange + volume1 = NetworkVolume(name="deanq", size=50) + volume2 = NetworkVolume(name="deanq", size=50) + + # First call returns no existing volumes, second call returns the created volume + mock_runpod_client.list_network_volumes.side_effect = [ + [], # First call: no existing + [sample_volume_data], # Second call: volume exists + ] + mock_runpod_client.create_network_volume.return_value = sample_volume_data + + with patch( + "tetra_rp.core.resources.network_volume.RunpodRestClient" + ) as mock_client_class: + mock_client_class.return_value.__aenter__.return_value = mock_runpod_client + mock_client_class.return_value.__aexit__ = AsyncMock() + # Act + result1 = await volume1.deploy() + result2 = await volume2.deploy() + + # Assert + assert mock_runpod_client.list_network_volumes.call_count == 2 + assert ( + mock_runpod_client.create_network_volume.call_count == 1 + ) # Only called once + assert result1.id == result2.id == "vol-123456" + + def test_resource_id_based_on_name_and_datacenter(self): + """Test that resource_id is based on name and datacenter for named volumes.""" + # Arrange & Act + volume1 = NetworkVolume(name="deanq", dataCenterId=DataCenter.EU_RO_1) + volume2 = NetworkVolume(name="deanq", dataCenterId=DataCenter.EU_RO_1) + volume3 = NetworkVolume(name="different", dataCenterId=DataCenter.EU_RO_1) + + # Assert + assert volume1.resource_id == volume2.resource_id # Same name + datacenter + assert volume1.resource_id != volume3.resource_id # Different name diff --git a/tests/unit/resources/test_serverless.py b/tests/unit/resources/test_serverless.py new file mode 100644 index 0000000..8306ae6 --- /dev/null +++ b/tests/unit/resources/test_serverless.py @@ -0,0 +1,880 @@ +""" +Unit tests for ServerlessResource and related classes. +""" + +import pytest +from unittest.mock import AsyncMock, MagicMock, patch +from typing import Any, Dict + +from tetra_rp.core.resources.serverless import ( + ServerlessResource, + ServerlessEndpoint, + CpuServerlessEndpoint, + ServerlessScalerType, + CudaVersion, + JobOutput, + WorkersHealth, + JobsHealth, + ServerlessHealth, + Status, +) +from tetra_rp.core.resources.gpu import GpuGroup +from tetra_rp.core.resources.cpu import CpuInstanceType +from tetra_rp.core.resources.network_volume import NetworkVolume, DataCenter + + +class TestServerlessResource: + """Test ServerlessResource base class functionality.""" + + @pytest.fixture + def basic_serverless_config(self) -> Dict[str, Any]: + """Basic serverless configuration for testing.""" + return { + "name": "test-serverless", + "gpuCount": 1, + "workersMax": 3, + "workersMin": 0, + } + + @pytest.fixture + def mock_runpod_client(self): + """Mock RunpodGraphQLClient.""" + client = AsyncMock() + client.create_endpoint = AsyncMock() + return client + + def test_serverless_resource_initialization(self, basic_serverless_config): + """Test basic initialization of ServerlessResource.""" + serverless = ServerlessResource(**basic_serverless_config) + + # Name gets "-fb" appended because flashboot defaults to True + assert serverless.name == "test-serverless-fb" + assert serverless.gpuCount == 1 + assert serverless.workersMax == 3 + assert serverless.workersMin == 0 + assert serverless.scalerType == ServerlessScalerType.QUEUE_DELAY + assert serverless.scalerValue == 4 + assert serverless.flashboot is True + + def test_str_representation(self, basic_serverless_config): + """Test string representation of ServerlessResource.""" + serverless = ServerlessResource(**basic_serverless_config) + serverless.id = "test-id-123" + + assert str(serverless) == "ServerlessResource:test-id-123" + + def test_url_property_with_id(self, basic_serverless_config): + """Test URL property when ID is set.""" + serverless = ServerlessResource(**basic_serverless_config) + serverless.id = "test-id-123" + + assert "test-id-123" in serverless.url + + def test_url_property_without_id_raises_error(self, basic_serverless_config): + """Test URL property raises error when ID is not set.""" + serverless = ServerlessResource(**basic_serverless_config) + + with pytest.raises(ValueError, match="Missing self.id"): + _ = serverless.url + + def test_endpoint_property_with_id(self, basic_serverless_config): + """Test endpoint property when ID is set.""" + serverless = ServerlessResource(**basic_serverless_config) + serverless.id = "test-id-123" + + with patch("tetra_rp.core.resources.cloud.runpod.api_key", "test-api-key"): + endpoint = serverless.endpoint + assert endpoint is not None + + def test_endpoint_property_without_id_raises_error(self, basic_serverless_config): + """Test endpoint property raises error when ID is not set.""" + serverless = ServerlessResource(**basic_serverless_config) + + with pytest.raises(ValueError, match="Missing self.id"): + _ = serverless.endpoint + + +class TestServerlessResourceNetworkVolume: + """Test network volume integration in ServerlessResource.""" + + @pytest.fixture + def serverless_with_volume(self): + """ServerlessResource with a network volume.""" + volume = NetworkVolume(name="test-volume", size=50) + return ServerlessResource( + name="test-serverless", + networkVolume=volume, + ) + + @pytest.fixture + def mock_network_volume(self): + """Mock NetworkVolume for testing.""" + volume = AsyncMock(spec=NetworkVolume) + volume.deploy = AsyncMock() + volume.is_created = False + volume.id = None + return volume + + def test_sync_input_fields_with_created_volume(self): + """Test sync_input_fields sets networkVolumeId when volume is created.""" + volume = NetworkVolume(name="test-volume", size=50) + volume.id = "vol-123" + # Use the actual property that checks is_created + with patch.object( + type(volume), "is_created", new_callable=lambda: property(lambda self: True) + ): + serverless = ServerlessResource( + name="test-serverless", + networkVolume=volume, + ) + + # The model validator should have set the networkVolumeId + assert serverless.networkVolumeId == "vol-123" + + @pytest.mark.asyncio + async def test_ensure_network_volume_deployed_with_existing_id(self): + """Test _ensure_network_volume_deployed returns early if networkVolumeId exists.""" + serverless = ServerlessResource( + name="test-serverless", + networkVolumeId="vol-existing-123", + ) + + await serverless._ensure_network_volume_deployed() + + # Should return early, no volume creation + assert serverless.networkVolumeId == "vol-existing-123" + + @pytest.mark.asyncio + async def test_ensure_network_volume_deployed_no_volume_does_nothing(self): + """Test _ensure_network_volume_deployed does nothing when no volume provided.""" + serverless = ServerlessResource(name="test-serverless") + + await serverless._ensure_network_volume_deployed() + + # Should not set any network volume ID since no volume was provided + assert serverless.networkVolumeId is None + assert serverless.networkVolume is None + + @pytest.mark.asyncio + async def test_ensure_network_volume_deployed_uses_existing_volume(self): + """Test _ensure_network_volume_deployed uses existing volume.""" + volume = NetworkVolume(name="existing-volume", size=50) + serverless = ServerlessResource( + name="test-serverless", + networkVolume=volume, + ) + + with patch.object(NetworkVolume, "deploy") as mock_deploy: + deployed_volume = NetworkVolume(name="existing-volume", size=50) + deployed_volume.id = "vol-existing-456" + mock_deploy.return_value = deployed_volume + + await serverless._ensure_network_volume_deployed() + + assert serverless.networkVolumeId == "vol-existing-456" + mock_deploy.assert_called_once() + + +class TestServerlessResourceValidation: + """Test field validation and serialization.""" + + def test_scaler_type_serialization(self): + """Test ServerlessScalerType enum serialization.""" + serverless = ServerlessResource( + name="test", + scalerType=ServerlessScalerType.REQUEST_COUNT, + ) + + # Test the field serializer + serialized = serverless.model_dump() + assert serialized["scalerType"] == "REQUEST_COUNT" + + def test_instance_ids_serialization(self): + """Test CpuInstanceType serialization.""" + serverless = ServerlessResource( + name="test", + instanceIds=[CpuInstanceType.CPU3G_2_8, CpuInstanceType.CPU3G_4_16], + ) + + # Test the field serializer + serialized = serverless.model_dump() + assert "cpu3g-2-8" in serialized["instanceIds"] + assert "cpu3g-4-16" in serialized["instanceIds"] + + def test_gpus_validation_with_any(self): + """Test GPU validation expands ANY to all GPU groups.""" + serverless = ServerlessResource( + name="test", + gpus=[GpuGroup.ANY], + ) + + # The validator should expand ANY to all GPU groups + assert serverless.gpus is not None + assert len(serverless.gpus) > 1 + assert GpuGroup.ANY not in serverless.gpus + + def test_gpus_validation_with_specific_gpus(self): + """Test GPU validation preserves specific GPU selections.""" + specific_gpus = [GpuGroup.AMPERE_48, GpuGroup.AMPERE_24] + serverless = ServerlessResource( + name="test", + gpus=specific_gpus, + ) + + assert serverless.gpus == specific_gpus + + def test_flashboot_appends_to_name(self): + """Test flashboot=True appends '-fb' to name.""" + serverless = ServerlessResource( + name="test-serverless", + flashboot=True, + ) + + assert serverless.name == "test-serverless-fb" + + def test_datacenter_defaults_to_eu_ro_1(self): + """Test datacenter defaults to EU_RO_1.""" + serverless = ServerlessResource(name="test") + + assert serverless.datacenter == DataCenter.EU_RO_1 + + def test_datacenter_can_be_overridden(self): + """Test datacenter can be overridden by user.""" + # This would work if we had other datacenters defined + serverless = ServerlessResource(name="test", datacenter=DataCenter.EU_RO_1) + + assert serverless.datacenter == DataCenter.EU_RO_1 + + def test_locations_synced_from_datacenter(self): + """Test locations field gets synced from datacenter.""" + serverless = ServerlessResource(name="test") + + # Should automatically set locations from datacenter + assert serverless.locations == "EU-RO-1" + + def test_explicit_locations_not_overridden(self): + """Test explicit locations field is not overridden.""" + serverless = ServerlessResource(name="test", locations="US-WEST-1") + + # Explicit locations should not be overridden + assert serverless.locations == "US-WEST-1" + + def test_datacenter_validation_matching_datacenters(self): + """Test that matching datacenters between endpoint and volume work.""" + volume = NetworkVolume(name="test-volume", dataCenterId=DataCenter.EU_RO_1) + serverless = ServerlessResource( + name="test", datacenter=DataCenter.EU_RO_1, networkVolume=volume + ) + + # Should not raise any validation error + assert serverless.datacenter == DataCenter.EU_RO_1 + assert serverless.networkVolume.dataCenterId == DataCenter.EU_RO_1 + + def test_datacenter_validation_logic_exists(self): + """Test that datacenter validation logic exists in sync_input_fields.""" + # Test by examining the validation code directly + # Since we can't easily mock frozen fields, we'll test the logic exists + volume = NetworkVolume(name="test-volume", dataCenterId=DataCenter.EU_RO_1) + _ = ServerlessResource( + name="test", datacenter=DataCenter.EU_RO_1, networkVolume=volume + ) + + # Create a mock volume with mismatched datacenter for direct validation test + mock_volume = MagicMock() + mock_volume.dataCenterId.value = "US-WEST-1" + mock_datacenter = MagicMock() + mock_datacenter.value = "EU-RO-1" + + # Test the validation logic directly + with pytest.raises( + ValueError, + match="Network volume datacenter.*must match endpoint datacenter", + ): + # Simulate the validation check + if mock_volume.dataCenterId != mock_datacenter: + raise ValueError( + f"Network volume datacenter ({mock_volume.dataCenterId.value}) " + f"must match endpoint datacenter ({mock_datacenter.value})" + ) + + def test_no_flashboot_keeps_name(self): + """Test flashboot=False keeps original name.""" + serverless = ServerlessResource( + name="test-serverless", + flashboot=False, + ) + + assert serverless.name == "test-serverless" + + +class TestServerlessResourceSyncFields: + """Test model validator sync_input_fields method.""" + + def test_sync_input_fields_gpu_mode(self): + """Test sync_input_fields in GPU mode.""" + serverless = ServerlessResource( + name="test", + gpus=[GpuGroup.AMPERE_48, GpuGroup.AMPERE_24], + cudaVersions=[CudaVersion.V12_1, CudaVersion.V11_8], + ) + + # Check GPU fields are properly set + assert serverless.gpuIds is not None + assert "AMPERE_48" in serverless.gpuIds + assert "AMPERE_24" in serverless.gpuIds + assert serverless.allowedCudaVersions is not None + assert "12.1" in serverless.allowedCudaVersions + assert "11.8" in serverless.allowedCudaVersions + + def test_sync_input_fields_cpu_mode(self): + """Test sync_input_fields in CPU mode.""" + serverless = ServerlessResource( + name="test", + instanceIds=[CpuInstanceType.CPU3G_2_8], + ) + + # Check CPU mode overrides GPU fields + assert serverless.gpuCount == 0 + assert serverless.allowedCudaVersions == "" + assert serverless.gpuIds == "" + + def test_reverse_sync_gpuids_to_gpus(self): + """Test reverse sync from gpuIds string to gpus list.""" + serverless = ServerlessResource( + name="test", + gpuIds="AMPERE_48,AMPERE_24", + ) + + # Should convert gpuIds string back to gpus list + assert serverless.gpus is not None + assert GpuGroup.AMPERE_48 in serverless.gpus + assert GpuGroup.AMPERE_24 in serverless.gpus + + def test_reverse_sync_cuda_versions(self): + """Test reverse sync from allowedCudaVersions string to cudaVersions list.""" + serverless = ServerlessResource( + name="test", + allowedCudaVersions="12.1,11.8", + ) + + # Should convert allowedCudaVersions string back to cudaVersions list + assert serverless.cudaVersions is not None + assert CudaVersion.V12_1 in serverless.cudaVersions + assert CudaVersion.V11_8 in serverless.cudaVersions + + +class TestJobOutput: + """Test JobOutput model.""" + + @pytest.fixture + def job_output_data(self): + """Sample job output data.""" + return { + "id": "job-123", + "workerId": "worker-456", + "status": "COMPLETED", + "delayTime": 1500, + "executionTime": 3000, + "output": {"result": "success"}, + "error": "", + } + + def test_job_output_initialization(self, job_output_data): + """Test JobOutput initialization.""" + job_output = JobOutput(**job_output_data) + + assert job_output.id == "job-123" + assert job_output.workerId == "worker-456" + assert job_output.status == "COMPLETED" + assert job_output.delayTime == 1500 + assert job_output.executionTime == 3000 + assert job_output.output == {"result": "success"} + assert job_output.error == "" + + def test_job_output_with_error(self): + """Test JobOutput with error.""" + job_output = JobOutput( + id="job-123", + workerId="worker-456", + status="FAILED", + delayTime=1000, + executionTime=500, + error="Something went wrong", + ) + + assert job_output.status == "FAILED" + assert job_output.error == "Something went wrong" + assert job_output.output is None + + +class TestServerlessResourceDeployment: + """Test deployment and execution workflows.""" + + @pytest.fixture + def mock_runpod_client(self): + """Mock RunpodGraphQLClient.""" + client = AsyncMock() + client.create_endpoint = AsyncMock() + return client + + @pytest.fixture + def deployment_response(self): + """Mock deployment response from RunPod API.""" + return { + "id": "endpoint-123", + "name": "test-serverless-fb", + "gpuIds": "RTX4090", + "allowedCudaVersions": "12.1", + "networkVolumeId": "vol-456", + } + + def test_is_deployed_false_when_no_id(self): + """Test is_deployed returns False when no ID is set.""" + serverless = ServerlessResource(name="test") + + assert serverless.is_deployed() is False + + @pytest.mark.asyncio + async def test_deploy_already_deployed(self): + """Test deploy returns early when already deployed.""" + serverless = ServerlessResource(name="test") + serverless.id = "existing-123" + + with patch.object(ServerlessResource, "is_deployed", return_value=True): + result = await serverless.deploy() + + assert result == serverless + + @pytest.mark.asyncio + async def test_deploy_success_with_network_volume( + self, mock_runpod_client, deployment_response + ): + """Test successful deployment with network volume integration.""" + serverless = ServerlessResource( + name="test-serverless", + gpus=[GpuGroup.AMPERE_48], + cudaVersions=[CudaVersion.V12_1], + ) + + mock_runpod_client.create_endpoint.return_value = deployment_response + + with patch( + "tetra_rp.core.resources.serverless.RunpodGraphQLClient" + ) as mock_client_class: + mock_client_class.return_value.__aenter__.return_value = mock_runpod_client + mock_client_class.return_value.__aexit__.return_value = None + + with patch.object( + ServerlessResource, "_ensure_network_volume_deployed" + ) as mock_ensure_volume: + with patch.object( + ServerlessResource, "is_deployed", return_value=False + ): + result = await serverless.deploy() + + # Should call network volume deployment + mock_ensure_volume.assert_called_once() + + # Should call create_endpoint + mock_runpod_client.create_endpoint.assert_called_once() + + # Should return new instance with deployment data + assert result.id == "endpoint-123" + # The returned object gets the name from the API response, which gets processed again + # result is a DeployableResource, so we need to cast it + assert hasattr(result, "name") and result.name == "test-serverless-fb-fb" + # Verify locations was set from datacenter + assert hasattr(result, "locations") and result.locations == "EU-RO-1" + + @pytest.mark.asyncio + async def test_deploy_failure_raises_exception(self, mock_runpod_client): + """Test deployment failure raises exception.""" + serverless = ServerlessResource(name="test") + + mock_runpod_client.create_endpoint.side_effect = Exception("API Error") + + with patch( + "tetra_rp.core.resources.serverless.RunpodGraphQLClient" + ) as mock_client_class: + mock_client_class.return_value.__aenter__.return_value = mock_runpod_client + mock_client_class.return_value.__aexit__.return_value = None + + with patch.object(ServerlessResource, "is_deployed", return_value=False): + with patch.object( + ServerlessResource, "_ensure_network_volume_deployed" + ): + with patch.dict("os.environ", {"RUNPOD_API_KEY": "test-api-key"}): + with pytest.raises(Exception, match="API Error"): + await serverless.deploy() + + @pytest.mark.asyncio + async def test_run_sync_success(self): + """Test run_sync successful execution.""" + serverless = ServerlessResource(name="test") + serverless.id = "endpoint-123" + + mock_endpoint = MagicMock() + mock_endpoint.rp_client.post.return_value = { + "id": "job-123", + "workerId": "worker-456", + "status": "COMPLETED", + "delayTime": 1000, + "executionTime": 2000, + "output": {"result": "success"}, + } + + payload = {"input": "test data"} + + with patch.object( + type(serverless), + "endpoint", + new_callable=lambda: property(lambda self: mock_endpoint), + ): + result = await serverless.run_sync(payload) + + assert isinstance(result, JobOutput) + assert result.id == "job-123" + assert result.status == "COMPLETED" + mock_endpoint.rp_client.post.assert_called_once_with( + "endpoint-123/runsync", payload, timeout=60 + ) + + @pytest.mark.asyncio + async def test_run_sync_no_id_raises_error(self): + """Test run_sync raises error when no ID is set.""" + serverless = ServerlessResource(name="test") + + with pytest.raises(ValueError, match="Serverless is not deployed"): + await serverless.run_sync({"input": "test"}) + + @pytest.mark.asyncio + async def test_run_async_success(self): + """Test run async execution success.""" + serverless = ServerlessResource(name="test") + serverless.id = "endpoint-123" + + mock_job = MagicMock() + mock_job.job_id = "job-123" + mock_job.status.side_effect = ["IN_QUEUE", "IN_PROGRESS", "COMPLETED"] + mock_job._fetch_job.return_value = { + "id": "job-123", + "workerId": "worker-456", + "status": "COMPLETED", + "delayTime": 1000, + "executionTime": 2000, + "output": {"result": "success"}, + } + + mock_endpoint = MagicMock() + mock_endpoint.run.return_value = mock_job + + payload = {"input": "test data"} + + with patch.object( + type(serverless), + "endpoint", + new_callable=lambda: property(lambda self: mock_endpoint), + ): + with patch("asyncio.sleep"): # Mock sleep to speed up test + result = await serverless.run(payload) + + assert isinstance(result, JobOutput) + assert result.id == "job-123" + assert result.status == "COMPLETED" + + @pytest.mark.asyncio + async def test_run_async_failure_cancels_job(self): + """Test run async cancels job on exception.""" + serverless = ServerlessResource(name="test") + serverless.id = "endpoint-123" + + mock_job = MagicMock() + mock_job.job_id = "job-123" + mock_job.status.side_effect = Exception("Job failed") + mock_job.cancel.return_value = None + + mock_endpoint = MagicMock() + mock_endpoint.run.return_value = mock_job + + with patch.object( + type(serverless), + "endpoint", + new_callable=lambda: property(lambda self: mock_endpoint), + ): + with pytest.raises(Exception, match="Job failed"): + await serverless.run({"input": "test"}) + + mock_job.cancel.assert_called_once() + + +class TestServerlessEndpoint: + """Test ServerlessEndpoint class.""" + + def test_serverless_endpoint_requires_image_template_or_id(self): + """Test ServerlessEndpoint validation requires image, template, or templateId.""" + with pytest.raises( + ValueError, + match="Either imageName, template, or templateId must be provided", + ): + ServerlessEndpoint(name="test") + + def test_serverless_endpoint_with_image_name(self): + """Test ServerlessEndpoint creates template from imageName.""" + endpoint = ServerlessEndpoint( + name="test-endpoint", + imageName="test/image:latest", + ) + + assert endpoint.template is not None + assert endpoint.template.imageName == "test/image:latest" + # Template name will be generated based on resource IDs + assert endpoint.template.name is not None + assert "ServerlessEndpoint" in endpoint.template.name + assert "PodTemplate" in endpoint.template.name + + def test_serverless_endpoint_with_template_id(self): + """Test ServerlessEndpoint works with templateId.""" + endpoint = ServerlessEndpoint( + name="test-endpoint", + templateId="template-123", + ) + + assert endpoint.templateId == "template-123" + assert endpoint.template is None + + def test_serverless_endpoint_with_existing_template(self): + """Test ServerlessEndpoint with existing template.""" + from tetra_rp.core.resources.template import PodTemplate + + template = PodTemplate(name="existing-template", imageName="test/image:v1") + endpoint = ServerlessEndpoint( + name="test-endpoint", + template=template, + ) + + assert endpoint.template is not None + # Template name will be generated with resource IDs + assert endpoint.template.name is not None + assert "ServerlessEndpoint" in endpoint.template.name + assert "PodTemplate" in endpoint.template.name + assert endpoint.template.imageName == "test/image:v1" + + def test_serverless_endpoint_template_env_override(self): + """Test ServerlessEndpoint overrides template env vars.""" + from tetra_rp.core.resources.template import PodTemplate, KeyValuePair + + template = PodTemplate( + name="existing-template", + imageName="test/image:v1", + env=[KeyValuePair(key="OLD_VAR", value="old_value")], + ) + endpoint = ServerlessEndpoint( + name="test-endpoint", + template=template, + env={"NEW_VAR": "new_value"}, + ) + + # Check that template and env are properly set + assert endpoint.template is not None + assert endpoint.template.env is not None + assert len(endpoint.template.env) == 1 + assert endpoint.template.env[0].key == "NEW_VAR" + assert endpoint.template.env[0].value == "new_value" + + +class TestCpuServerlessEndpoint: + """Test CpuServerlessEndpoint class.""" + + def test_cpu_serverless_endpoint_defaults(self): + """Test CpuServerlessEndpoint has CPU instance defaults.""" + endpoint = CpuServerlessEndpoint( + name="test-cpu-endpoint", + imageName="test/cpu-image:latest", + ) + + assert endpoint.instanceIds == [CpuInstanceType.CPU3G_2_8] + # Should trigger CPU mode in sync_input_fields + assert endpoint.gpuCount == 0 + assert endpoint.allowedCudaVersions == "" + assert endpoint.gpuIds == "" + + def test_cpu_serverless_endpoint_custom_instance_types(self): + """Test CpuServerlessEndpoint with custom instance types.""" + # Use valid CPU instance types from the enum + endpoint = CpuServerlessEndpoint( + name="test-cpu-endpoint", + imageName="test/cpu-image:latest", + instanceIds=[CpuInstanceType.CPU3G_4_16, CpuInstanceType.CPU3C_8_16], + ) + + assert endpoint.instanceIds is not None + assert len(endpoint.instanceIds) == 2 + assert CpuInstanceType.CPU3G_4_16 in endpoint.instanceIds + assert CpuInstanceType.CPU3C_8_16 in endpoint.instanceIds + + +class TestServerlessResourceEdgeCases: + """Test edge cases and error scenarios.""" + + def test_is_deployed_with_exception(self): + """Test is_deployed handles endpoint exceptions.""" + serverless = ServerlessResource(name="test") + serverless.id = "test-id-123" + + mock_endpoint = MagicMock() + mock_endpoint.health.side_effect = Exception("Connection error") + + with patch.object( + type(serverless), + "endpoint", + new_callable=lambda: property(lambda self: mock_endpoint), + ): + result = serverless.is_deployed() + + assert result is False + + def test_reverse_sync_from_backend_response(self): + """Test reverse sync when receiving backend response with gpuIds.""" + # This tests the lines 173-176 which convert gpuIds back to gpus list + serverless = ServerlessResource( + name="test", + gpuIds="AMPERE_48,AMPERE_24,INVALID_GPU", # Include invalid GPU to test error handling + ) + + # Should have parsed valid GPUs and skipped invalid ones + assert serverless.gpus is not None + valid_gpus = [ + gpu + for gpu in serverless.gpus + if gpu in [GpuGroup.AMPERE_48, GpuGroup.AMPERE_24] + ] + assert len(valid_gpus) >= 2 + + @pytest.mark.asyncio + async def test_run_sync_with_exception_logs_health(self): + """Test run_sync exception handling logs health status.""" + serverless = ServerlessResource(name="test") + serverless.id = "endpoint-123" + + mock_endpoint = MagicMock() + mock_endpoint.rp_client.post.side_effect = Exception("Request failed") + mock_endpoint.health.return_value = { + "workers": { + "idle": 0, + "initializing": 0, + "ready": 0, + "running": 0, + "throttled": 1, + "unhealthy": 0, + }, + "jobs": { + "completed": 0, + "failed": 0, + "inProgress": 0, + "inQueue": 0, + "retried": 0, + }, + } + + with patch.object( + type(serverless), + "endpoint", + new_callable=lambda: property(lambda self: mock_endpoint), + ): + with pytest.raises(Exception, match="Request failed"): + await serverless.run_sync({"input": "test"}) + + +class TestHealthModels: + """Test health-related models.""" + + def test_workers_health_status_ready(self): + """Test WorkersHealth status when workers are ready.""" + health = WorkersHealth( + idle=2, + initializing=0, + ready=1, + running=1, + throttled=0, + unhealthy=0, + ) + + assert health.status == Status.READY + + def test_workers_health_status_initializing(self): + """Test WorkersHealth status when workers are initializing.""" + health = WorkersHealth( + idle=0, + initializing=2, + ready=0, + running=0, + throttled=0, + unhealthy=0, + ) + + assert health.status == Status.INITIALIZING + + def test_workers_health_status_throttled(self): + """Test WorkersHealth status when workers are throttled.""" + health = WorkersHealth( + idle=0, + initializing=0, + ready=0, + running=0, + throttled=2, + unhealthy=0, + ) + + assert health.status == Status.THROTTLED + + def test_workers_health_status_unhealthy(self): + """Test WorkersHealth status when workers are unhealthy.""" + health = WorkersHealth( + idle=0, + initializing=0, + ready=0, + running=0, + throttled=0, + unhealthy=2, + ) + + assert health.status == Status.UNHEALTHY + + def test_workers_health_status_unknown(self): + """Test WorkersHealth status when all workers are zero.""" + health = WorkersHealth( + idle=0, + initializing=0, + ready=0, + running=0, + throttled=0, + unhealthy=0, + ) + + assert health.status == Status.UNKNOWN + + def test_serverless_health_is_ready_true(self): + """Test ServerlessHealth is_ready property when ready.""" + workers_health = WorkersHealth( + idle=1, initializing=0, ready=1, running=0, throttled=0, unhealthy=0 + ) + jobs_health = JobsHealth( + completed=5, failed=0, inProgress=1, inQueue=2, retried=0 + ) + + health = ServerlessHealth(workers=workers_health, jobs=jobs_health) + + assert health.is_ready is True + + def test_serverless_health_is_ready_false(self): + """Test ServerlessHealth is_ready property when not ready.""" + workers_health = WorkersHealth( + idle=0, initializing=2, ready=0, running=0, throttled=0, unhealthy=0 + ) + jobs_health = JobsHealth( + completed=5, failed=0, inProgress=1, inQueue=2, retried=0 + ) + + health = ServerlessHealth(workers=workers_health, jobs=jobs_health) + + assert health.is_ready is False diff --git a/tests/unit/test_class_caching.py b/tests/unit/test_class_caching.py new file mode 100644 index 0000000..920bb90 --- /dev/null +++ b/tests/unit/test_class_caching.py @@ -0,0 +1,415 @@ +""" +Unit tests for class serialization caching functionality. + +These tests verify the caching behavior of remote class execution including: +- Cache key generation +- Cache hit/miss scenarios +- Error handling for unserializable arguments +""" + +import tempfile +from unittest.mock import patch + +from tetra_rp.core.resources import ServerlessResource +from tetra_rp.execute_class import ( + _SERIALIZED_CLASS_CACHE, + create_remote_class, + get_class_cache_key, +) + + +class TestGetClassCacheKey: + """Test cache key generation functionality.""" + + def setup_method(self): + """Clear cache before each test.""" + _SERIALIZED_CLASS_CACHE.clear() + + def test_cache_key_generation_basic(self): + """Test basic cache key generation.""" + + class SimpleClass: + def __init__(self, value): + self.value = value + + cache_key = get_class_cache_key(SimpleClass, (42,), {}) + # Extract class code separately for verification + from tetra_rp.execute_class import extract_class_code_simple + + class_code = extract_class_code_simple(SimpleClass) + + assert cache_key.startswith("SimpleClass_") + assert len(cache_key.split("_")) == 3 # class_name_class_hash_args_hash + assert "class SimpleClass:" in class_code + assert len(class_code) > 0 + + def test_cache_key_consistency(self): + """Test that same inputs produce same cache key.""" + + class TestClass: + def __init__(self, x, y=None): + self.x = x + self.y = y + + key1 = get_class_cache_key(TestClass, (1, 2), {"y": 3}) + key2 = get_class_cache_key(TestClass, (1, 2), {"y": 3}) + + assert key1 == key2 + + def test_cache_key_different_for_different_args(self): + """Test that different args produce different cache keys.""" + + class TestClass: + def __init__(self, value): + self.value = value + + key1 = get_class_cache_key(TestClass, (42,), {}) + key2 = get_class_cache_key(TestClass, (99,), {}) + + assert key1 != key2 + + def test_cache_key_different_for_different_class(self): + """Test that different classes produce different cache keys.""" + + class ClassA: + def __init__(self, value): + self.value = value + + class ClassB: + def __init__(self, value): + self.value = value + + key1 = get_class_cache_key(ClassA, (42,), {}) + key2 = get_class_cache_key(ClassB, (42,), {}) + + assert key1 != key2 + assert key1.startswith("ClassA_") + assert key2.startswith("ClassB_") + + def test_cache_key_fallback_on_unserializable_args(self): + """Test fallback to UUID when args can't be serialized.""" + + class TestClass: + def __init__(self, file_handle): + self.file_handle = file_handle + + with tempfile.NamedTemporaryFile() as temp_file: + # This should trigger the fallback due to unserializable file handle + key1 = get_class_cache_key(TestClass, (temp_file,), {}) + key2 = get_class_cache_key(TestClass, (temp_file,), {}) + + # Keys should be different (UUID-based) + assert key1 != key2 + assert key1.startswith("TestClass_") + assert key2.startswith("TestClass_") + + def test_cache_key_with_complex_args(self): + """Test cache key generation with complex constructor arguments.""" + + class ComplexClass: + def __init__(self, data, config=None, **kwargs): + self.data = data + self.config = config + self.kwargs = kwargs + + complex_data = {"nested": {"list": [1, 2, 3]}, "string": "test"} + config = {"setting1": True, "setting2": 42} + + key = get_class_cache_key( + ComplexClass, (complex_data,), {"config": config, "extra": "value"} + ) + + assert key.startswith("ComplexClass_") + + +class TestClassCaching: + """Test end-to-end class caching functionality.""" + + def setup_method(self): + """Set up test fixtures.""" + _SERIALIZED_CLASS_CACHE.clear() + self.mock_resource_config = ServerlessResource( + name="cache-test-resource", + image="python:3.9-slim", + cpu=1, + memory=512, + ) + + def test_cache_miss_and_hit(self): + """Test cache miss on first instance, hit on second.""" + + class CacheTestClass: + def __init__(self, value): + self.value = value + + RemoteCacheTestClass = create_remote_class( + CacheTestClass, self.mock_resource_config, [], [], True, None, {} + ) + + # First instance - should be cache miss + assert len(_SERIALIZED_CLASS_CACHE) == 0 + instance1 = RemoteCacheTestClass(42) + assert len(_SERIALIZED_CLASS_CACHE) == 1 + + # Get the cache key from the instance + cache_key = instance1._cache_key + assert cache_key in _SERIALIZED_CLASS_CACHE + + # Verify cache contents + cached_data = _SERIALIZED_CLASS_CACHE[cache_key] + assert "class_code" in cached_data + assert "constructor_args" in cached_data + assert "constructor_kwargs" in cached_data + assert cached_data["constructor_args"] is not None + assert cached_data["constructor_kwargs"] is not None + + # Second instance with same args - should be cache hit + instance2 = RemoteCacheTestClass(42) + assert len(_SERIALIZED_CLASS_CACHE) == 1 # No new entry + assert instance2._cache_key == cache_key # Same cache key + + def test_cache_different_args_create_different_entries(self): + """Test that different constructor args create separate cache entries.""" + + class MultiArgClass: + def __init__(self, x, y=None): + self.x = x + self.y = y + + RemoteMultiArgClass = create_remote_class( + MultiArgClass, self.mock_resource_config, [], [], True, None, {} + ) + + # Different args should create different cache entries + instance1 = RemoteMultiArgClass(1, y=2) + instance2 = RemoteMultiArgClass(3, y=4) + instance3 = RemoteMultiArgClass(1, y=2) # Same as instance1 + + assert len(_SERIALIZED_CLASS_CACHE) == 2 # Two unique combinations + assert instance1._cache_key == instance3._cache_key # Same args + assert instance1._cache_key != instance2._cache_key # Different args + + def test_cache_with_unserializable_args(self): + """Test graceful handling of unserializable constructor arguments.""" + + class FileHandlerClass: + def __init__(self, file_handle, name="default"): + self.file_handle = file_handle + self.name = name + + RemoteFileHandlerClass = create_remote_class( + FileHandlerClass, self.mock_resource_config, [], [], True, None, {} + ) + + with tempfile.NamedTemporaryFile() as temp_file: + # This should not crash, but fall back to no constructor arg caching + instance = RemoteFileHandlerClass(temp_file, name="test") + + assert len(_SERIALIZED_CLASS_CACHE) == 1 + cached_data = _SERIALIZED_CLASS_CACHE[instance._cache_key] + + # Class code should still be cached + assert cached_data["class_code"] is not None + assert "class FileHandlerClass:" in cached_data["class_code"] + + # But constructor args should be None (couldn't serialize) + assert cached_data["constructor_args"] is None + assert cached_data["constructor_kwargs"] is None + + def test_cache_class_code_extraction_called_appropriately(self): + """Test that class code extraction is called for cache operations.""" + + class OptimizationTestClass: + def __init__(self, value): + self.value = value + + RemoteOptimizationTestClass = create_remote_class( + OptimizationTestClass, self.mock_resource_config, [], [], True, None, {} + ) + + with patch("tetra_rp.execute_class.extract_class_code_simple") as mock_extract: + mock_extract.return_value = "class OptimizationTestClass:\n pass" + + # Create instance - should call extract_class_code_simple for caching + instance = RemoteOptimizationTestClass(42) + + # Should be called at least once for cache operations + assert mock_extract.call_count >= 1 + assert ( + instance._clean_class_code == "class OptimizationTestClass:\n pass" + ) + + def test_cache_preserves_class_code_across_instances(self): + """Test that cached class code is consistent across instances.""" + + class ConsistencyTestClass: + def __init__(self, value): + self.value = value + + def get_value(self): + return self.value + + RemoteConsistencyTestClass = create_remote_class( + ConsistencyTestClass, self.mock_resource_config, [], [], True, None, {} + ) + + instance1 = RemoteConsistencyTestClass(1) + instance2 = RemoteConsistencyTestClass(1) # Same args - cache hit + instance3 = RemoteConsistencyTestClass(2) # Different args - cache miss + + # All instances should have the same class code + assert instance1._clean_class_code == instance2._clean_class_code + assert instance1._clean_class_code == instance3._clean_class_code + + # Verify the class code contains expected content + assert "class ConsistencyTestClass:" in instance1._clean_class_code + assert "def get_value(self):" in instance1._clean_class_code + + def test_cache_key_uuid_fallback_different_each_time(self): + """Test that UUID fallback produces different keys each time.""" + + class UUIDFallbackClass: + def __init__(self, file_handle): + self.file_handle = file_handle + + RemoteUUIDFallbackClass = create_remote_class( + UUIDFallbackClass, self.mock_resource_config, [], [], True, None, {} + ) + + with ( + tempfile.NamedTemporaryFile() as temp_file1, + tempfile.NamedTemporaryFile() as temp_file2, + ): + instance1 = RemoteUUIDFallbackClass(temp_file1) + instance2 = RemoteUUIDFallbackClass(temp_file2) + + # Should create separate cache entries due to UUID fallback + assert len(_SERIALIZED_CLASS_CACHE) == 2 + assert instance1._cache_key != instance2._cache_key + + # But both should start with class name + assert instance1._cache_key.startswith("UUIDFallbackClass_") + assert instance2._cache_key.startswith("UUIDFallbackClass_") + + def test_cache_memory_efficiency(self): + """Test that cache doesn't grow unnecessarily.""" + + class MemoryTestClass: + def __init__(self, value): + self.value = value + + RemoteMemoryTestClass = create_remote_class( + MemoryTestClass, self.mock_resource_config, [], [], True, None, {} + ) + + # Create many instances with same args - should only create one cache entry + instances = [RemoteMemoryTestClass(42) for _ in range(10)] + + assert len(_SERIALIZED_CLASS_CACHE) == 1 + + # All instances should share the same cache key + cache_keys = [instance._cache_key for instance in instances] + assert all(key == cache_keys[0] for key in cache_keys) + + def test_cache_different_classes_separate_entries(self): + """Test that different classes create separate cache entries.""" + + class ClassTypeA: + def __init__(self, value): + self.value = value + + class ClassTypeB: + def __init__(self, value): + self.value = value + + RemoteClassTypeA = create_remote_class( + ClassTypeA, self.mock_resource_config, [], [], True, None, {} + ) + RemoteClassTypeB = create_remote_class( + ClassTypeB, self.mock_resource_config, [], [], True, None, {} + ) + + instanceA = RemoteClassTypeA(42) + instanceB = RemoteClassTypeB(42) # Same args, different class + + assert len(_SERIALIZED_CLASS_CACHE) == 2 + assert instanceA._cache_key != instanceB._cache_key + assert instanceA._cache_key.startswith("ClassTypeA_") + assert instanceB._cache_key.startswith("ClassTypeB_") + + +class TestCacheDataStructure: + """Test the structure and content of cached data.""" + + def setup_method(self): + """Clear cache before each test.""" + _SERIALIZED_CLASS_CACHE.clear() + + def test_cached_data_structure(self): + """Test that cached data has the expected structure.""" + + class StructureTestClass: + def __init__(self, value, config=None): + self.value = value + self.config = config + + resource_config = ServerlessResource( + name="structure-test", image="python:3.9-slim" + ) + + RemoteStructureTestClass = create_remote_class( + StructureTestClass, resource_config, [], [], True, None, {} + ) + + instance = RemoteStructureTestClass(42, config={"key": "value"}) + cached_data = _SERIALIZED_CLASS_CACHE[instance._cache_key] + + # Verify structure + assert isinstance(cached_data, dict) + assert set(cached_data.keys()) == { + "class_code", + "constructor_args", + "constructor_kwargs", + } + + # Verify class_code + assert isinstance(cached_data["class_code"], str) + assert "class StructureTestClass:" in cached_data["class_code"] + + # Verify constructor_args (should be base64-encoded strings) + assert isinstance(cached_data["constructor_args"], list) + assert len(cached_data["constructor_args"]) == 1 + assert isinstance(cached_data["constructor_args"][0], str) + + # Verify constructor_kwargs + assert isinstance(cached_data["constructor_kwargs"], dict) + assert "config" in cached_data["constructor_kwargs"] + assert isinstance(cached_data["constructor_kwargs"]["config"], str) + + def test_cached_data_serialization_format(self): + """Test that cached data is properly base64-encoded.""" + import base64 + + import cloudpickle + + class SerializationTestClass: + def __init__(self, data): + self.data = data + + resource_config = ServerlessResource( + name="serialization-test", image="python:3.9-slim" + ) + + RemoteSerializationTestClass = create_remote_class( + SerializationTestClass, resource_config, [], [], True, None, {} + ) + + test_data = {"test": [1, 2, 3]} + instance = RemoteSerializationTestClass(test_data) + cached_data = _SERIALIZED_CLASS_CACHE[instance._cache_key] + + # Verify we can decode the cached constructor args + encoded_arg = cached_data["constructor_args"][0] + decoded_arg = cloudpickle.loads(base64.b64decode(encoded_arg)) + + assert decoded_arg == test_data diff --git a/tests/unit/test_execute_class.py b/tests/unit/test_execute_class.py index 9e28711..5c0bbe8 100644 --- a/tests/unit/test_execute_class.py +++ b/tests/unit/test_execute_class.py @@ -243,6 +243,8 @@ def get_value(self): self.mock_resource_config, self.dependencies, self.system_dependencies, + True, + None, self.extra, ) @@ -263,6 +265,8 @@ def __init__(self, value, name="default"): self.mock_resource_config, self.dependencies, self.system_dependencies, + True, + None, self.extra, ) @@ -290,6 +294,8 @@ class TestClass: self.mock_resource_config, None, # dependencies None, # system_dependencies + True, # accelerate_downloads + None, # hf_models_to_cache self.extra, ) @@ -312,6 +318,8 @@ class TestClass: self.mock_resource_config, self.dependencies, self.system_dependencies, + True, + None, self.extra, ) @@ -347,6 +355,8 @@ class TestClass: self.mock_resource_config, self.dependencies, self.system_dependencies, + True, + None, self.extra, ) @@ -387,6 +397,8 @@ class TestClass: self.mock_resource_config, self.dependencies, self.system_dependencies, + True, + None, self.extra, ) @@ -417,6 +429,8 @@ def add(self, x, y=10): self.mock_resource_config, self.dependencies, self.system_dependencies, + True, + None, self.extra, ) @@ -481,6 +495,8 @@ def method2(self): self.mock_resource_config, self.dependencies, self.system_dependencies, + True, + None, self.extra, ) @@ -520,7 +536,7 @@ def simple_method(self): return "simple" RemoteWrapper = create_remote_class( - TestClass, self.mock_resource_config, [], [], {} + TestClass, self.mock_resource_config, [], [], True, None, {} ) instance = RemoteWrapper() @@ -562,6 +578,8 @@ def test_method(self): self.mock_resource_config, self.dependencies, self.system_dependencies, + True, + None, self.extra, ) @@ -586,6 +604,8 @@ class TestClass: self.mock_resource_config, self.dependencies, self.system_dependencies, + True, + None, self.extra, ) @@ -632,7 +652,7 @@ def get_value(self): ) RemoteCalculator = create_remote_class( - CalculatorClass, resource_config, ["numpy"], [], {"timeout": 60} + CalculatorClass, resource_config, ["numpy"], [], True, None, {"timeout": 60} ) calculator = RemoteCalculator(10) @@ -680,9 +700,11 @@ def complex_method( RemoteWrapper = create_remote_class( ComplexClass, ServerlessResource(name="test", image="test:latest", cpu=1, memory=256), - [], - [], - {}, + [], # dependencies + [], # system_dependencies + True, # accelerate_downloads + None, # hf_models_to_cache + {}, # extra ) instance = RemoteWrapper("test", extra_arg=True) diff --git a/tetra-examples b/tetra-examples index 98fb64b..673bd3b 160000 --- a/tetra-examples +++ b/tetra-examples @@ -1 +1 @@ -Subproject commit 98fb64bf195cbf56a77e03335de623b98b01c4f9 +Subproject commit 673bd3b2df19fee6aacff4115ca6c23b7ff5aac6 diff --git a/uv.lock b/uv.lock index c4a0ea0..48943cf 100644 --- a/uv.lock +++ b/uv.lock @@ -8,14 +8,14 @@ resolution-markers = [ [[package]] name = "aiodns" -version = "3.4.0" +version = "3.5.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "pycares" }, ] -sdist = { 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