ITEP-32484 - Implement GET project_configuration endpoint

interactive_ai/services/director/app/communication/controllers/project_configuration_controller.py

@@ -0,0 +1,31 @@
+# Copyright (C) 2022-2025 Intel Corporation
+# LIMITED EDGE SOFTWARE DISTRIBUTION LICENSE
+
+from typing import Any
+
+from geti_configuration_tools.project_configuration import NullProjectConfiguration
+
+from communication.views.project_configuration_rest_views import ProjectConfigurationRESTViews
+from storage.repos.project_configuration_repo import ProjectConfigurationRepo
+
+from geti_fastapi_tools.exceptions import ProjectNotFoundException
+from geti_telemetry_tools import unified_tracing
+from geti_types import ProjectIdentifier
+
+
+class ProjectConfigurationRESTController:
+    @staticmethod
+    @unified_tracing
+    def get_configuration(
+        project_identifier: ProjectIdentifier,
+    ) -> dict[str, Any]:
+        """
+        Retrieves configuration related to a specific project.
+
+        :param project_identifier: Identifier for the project (containing organization_id, workspace_id, and project_id)
+        :return: Dictionary representation of the project configuration
+        """
+        project_config = ProjectConfigurationRepo(project_identifier).get_project_configuration()
+        if isinstance(project_config, NullProjectConfiguration):
+            raise ProjectNotFoundException(project_identifier.project_id)
+        return ProjectConfigurationRESTViews.project_configuration_to_rest(project_config)

interactive_ai/services/director/app/communication/endpoints/project_configuration_endpoints.py

@@ -0,0 +1,40 @@
+# Copyright (C) 2022-2025 Intel Corporation
+# LIMITED EDGE SOFTWARE DISTRIBUTION LICENSE
+
+import logging
+from http import HTTPStatus
+from typing import Annotated, Any
+
+from fastapi import APIRouter, Depends
+
+from communication.controllers.project_configuration_controller import ProjectConfigurationRESTController
+from features.feature_flag_provider import FeatureFlag, FeatureFlagProvider
+
+from geti_fastapi_tools.dependencies import get_project_identifier, setup_session_fastapi
+from geti_fastapi_tools.exceptions import GetiBaseException
+from geti_types import ProjectIdentifier
+
+logger = logging.getLogger(__name__)
+
+project_configuration_prefix_url = (
+    "/api/v1/organizations/{organization_id}/workspaces/{workspace_id}/projects/{project_id}"
+)
+project_configuration_router = APIRouter(
+    prefix=project_configuration_prefix_url,
+    tags=["Configuration"],
+    dependencies=[Depends(setup_session_fastapi)],
+)
+
+
+@project_configuration_router.get("/project_configuration")
+def get_project_configuration(
+    project_identifier: Annotated[ProjectIdentifier, Depends(get_project_identifier)],
+) -> dict[str, Any]:
+    """Retrieve the configuration for a specific project."""
+    if not FeatureFlagProvider.is_enabled(FeatureFlag.FEATURE_FLAG_NEW_CONFIGURABLE_PARAMETERS):
+        raise GetiBaseException(
+            message="Feature not available",
+            error_code="feature_not_available",
+            http_status=HTTPStatus.FORBIDDEN,
+        )
+    return ProjectConfigurationRESTController().get_configuration(project_identifier=project_identifier)

interactive_ai/services/director/app/communication/main.py

@@ -24,6 +24,7 @@
 from communication.endpoints.model_tests_endpoints import model_test_router
 from communication.endpoints.optimization_endpoints import optimization_router
 from communication.endpoints.prediction_endpoints import prediction_router
+from communication.endpoints.project_configuration_endpoints import project_configuration_router
 from communication.endpoints.status_endpoints import status_router
 from communication.endpoints.supported_algorithms_endpoints import supported_algorithms_router
 from communication.endpoints.training_endpoints import training_router
@@ -85,6 +86,7 @@ async def lifespan(app: FastAPI):  # type: ignore # noqa: ANN201
 app.include_router(status_router)
 app.include_router(training_router)
 app.include_router(supported_algorithms_router)
+app.include_router(project_configuration_router)
 
 base_dir = os.path.dirname(__file__) + "/../../../api/schemas/"
 mongo_id_schema = RestApiValidator().load_schema_file_as_dict(base_dir + "mongo_id.yaml")

interactive_ai/services/director/app/communication/views/configurable_parameters_to_rest.py

@@ -0,0 +1,94 @@
+# Copyright (C) 2022-2025 Intel Corporation
+# LIMITED EDGE SOFTWARE DISTRIBUTION LICENSE
+
+from typing import Any
+
+from pydantic import BaseModel
+
+PYDANTIC_TYPES_MAPPING = {
+    "integer": "int",
+    "number": "float",
+    "boolean": "bool",
+    "string": "str",
+}
+
+
+class ConfigurableParametersRESTViews:
+    """
+    Base class for converting configurable parameters to REST views.
+
+    This class provides methods to transform Pydantic models and their fields
+    into REST-compatible dictionary representations.
+    """
+
+    @staticmethod
+    def _parameter_to_rest(key: str, value: float | str | bool, json_schema: dict) -> dict[str, Any]:
+        """
+        Convert a single parameter to its REST representation.
+
+        :param key: The parameter name/key
+        :param value: The parameter value (int, float, string, or boolean)
+        :param json_schema: The JSON schema for the parameter from the Pydantic model
+        :return: Dictionary containing the REST representation of the parameter
+        """
+        rest_view = {
+            "key": key,
+            "name": json_schema.get("title"),
+            "description": json_schema.get("description"),
+            "value": value,
+            "default_value": json_schema.get("default"),
+        }
+        # optional parameter may contain `'anyOf': [{'exclusiveMinimum': 0, 'type': 'integer'}, {'type': 'null'}]`
+        type_any_of = json_schema.get("anyOf", [{}])[0]
+        rest_view["type"] = PYDANTIC_TYPES_MAPPING.get(json_schema.get("type", type_any_of.get("type")))
+        if rest_view["type"] in ["int", "float"]:
+            rest_view["min_value"] = json_schema.get("minimum", type_any_of.get("exclusiveMinimum"))
+            rest_view["max_value"] = json_schema.get("maximum", type_any_of.get("exclusiveMaximum"))
+        return rest_view
+
+    @classmethod
+    def configurable_parameters_to_rest(
+        cls, configurable_parameters: BaseModel
+    ) -> dict[str, Any] | list[dict[str, Any]]:
+        """
+        Convert a Pydantic model of configurable parameters to its REST representation.
+
+        This method processes a Pydantic model containing configuration parameters and transforms it
+        into a REST view. It handles both simple fields and nested models:
+
+        - Simple fields (int, float, str, bool) are converted to a list of dictionaries with metadata
+            including key, name, description, value, type, and constraints
+        - Nested Pydantic models are processed recursively and maintained as nested structures
+
+        The return format depends on the content:
+        - If only simple parameters exist: returns a list of parameter dictionaries
+        - If only nested models exist: returns a dictionary mapping nested model names to their contents
+        - If both exist: returns a list containing parameter dictionaries and nested model dictionary
+
+        :param configurable_parameters: Pydantic model containing configurable parameters
+        :return: REST representation as either a dictionary of nested models,
+            a list of parameter dictionaries, or a combined list of both
+        """
+        nested_params: dict[str, Any] = {}
+        list_params: list[dict[str, Any]] = []
+
+        for field_name in configurable_parameters.model_fields:
+            field = getattr(configurable_parameters, field_name)
+            if isinstance(field, BaseModel):
+                # If the field is a nested Pydantic model, process it recursively
+                nested_params[field_name] = cls.configurable_parameters_to_rest(field)
+            else:
+                # If the field is a simple type, convert directly to REST view
+                json_model = configurable_parameters.model_json_schema()
+                list_params.append(
+                    cls._parameter_to_rest(
+                        key=field_name,
+                        value=field,
+                        json_schema=json_model["properties"][field_name],
+                    )
+                )
+
+        # Return combined or individual results based on content
+        if nested_params and list_params:
+            return [*list_params, nested_params]
+        return list_params or nested_params

interactive_ai/services/director/app/communication/views/project_configuration_rest_views.py

@@ -0,0 +1,40 @@
+# Copyright (C) 2022-2025 Intel Corporation
+# LIMITED EDGE SOFTWARE DISTRIBUTION LICENSE
+
+from geti_configuration_tools.project_configuration import ProjectConfiguration, TaskConfig
+
+from communication.views.configurable_parameters_to_rest import ConfigurableParametersRESTViews
+
+
+class ProjectConfigurationRESTViews(ConfigurableParametersRESTViews):
+    """
+    Converters between ProjectConfiguration models and their corresponding REST views
+    """
+
+    @classmethod
+    def task_config_to_rest(cls, task_config: TaskConfig) -> dict:
+        """
+        Get the REST view of a task configuration
+
+        :param task_config: Task configuration object
+        :return: REST view of the task configuration
+        """
+        return {
+            "task_id": task_config.task_id,
+            "training": cls.configurable_parameters_to_rest(task_config.training),
+            "auto_training": cls.configurable_parameters_to_rest(task_config.auto_training),
+        }
+
+    @classmethod
+    def project_configuration_to_rest(cls, project_configuration: ProjectConfiguration) -> dict:
+        """
+        Get the REST view of a project configuration
+
+        :param project_configuration: Project configuration object
+        :return: REST view of the project configuration
+        """
+        return {
+            "task_configs": [
+                cls.task_config_to_rest(task_config) for task_config in project_configuration.task_configs
+            ],
+        }

interactive_ai/services/director/chart/templates/http_route.yaml

@@ -42,6 +42,9 @@ spec:
         - path:
             type: RegularExpression
             value: /api/v(.*)/organizations/([^/]*)/workspaces/(.*)/projects/.*/supported_algorithms
+        - path:
+            type: RegularExpression
+            value: /api/v(.*)/organizations/([^/]*)/workspaces/(.*)/projects/.*/project_configuration
       backendRefs:
         - name: {{ .Release.Namespace }}-{{ .Chart.Name }}
           port: {{ .Values.service.ports.director.port }}

interactive_ai/services/director/chart/values.yaml

@@ -35,6 +35,7 @@ ingress:
   - /api/v(.*)/organizations/([^/]*)/workspaces/(.*)/projects/(.*):train
   - /api/v(.*)/organizations/([^/]*)/workspaces/(.*)/projects/(.*)/model_groups/(.*)/models/(.*):optimize
   - /api/v(.*)/organizations/([^/]*)/workspaces/(.*)/projects/(.*)/supported_algorithms
+  - /api/v(.*)/organizations/([^/]*)/workspaces/(.*)/projects/(.*)/project_configuration
 
 serviceAccount:
   create: true

interactive_ai/services/director/tests/fixtures/project_configuration.py

@@ -36,3 +36,65 @@ def fxt_project_configuration(fxt_project_identifier):
             ),
         ],
     )
+
+
+@pytest.fixture
+def fxt_project_configuration_rest_view(fxt_project_configuration):
+    tasks_rest_view = []
+    for task_config in fxt_project_configuration.task_configs:
+        min_images_per_label_schema = task_config.training.constraints.model_json_schema()["properties"][
+            "min_images_per_label"
+        ]
+        auto_training_schema = task_config.auto_training.model_json_schema()
+        tasks_rest_view.append(
+            {
+                "task_id": task_config.task_id,
+                "training": {
+                    "constraints": [
+                        {
+                            "key": "min_images_per_label",
+                            "name": min_images_per_label_schema["title"],
+                            "description": min_images_per_label_schema["description"],
+                            "type": "int",
+                            "value": task_config.training.constraints.min_images_per_label,
+                            "default_value": min_images_per_label_schema["default"],
+                            "max_value": min_images_per_label_schema.get("maximum"),
+                            "min_value": min_images_per_label_schema.get("minimum"),
+                        }
+                    ]
+                },
+                "auto_training": [
+                    {
+                        "key": "enable",
+                        "name": auto_training_schema["properties"]["enable"]["title"],
+                        "description": auto_training_schema["properties"]["enable"]["description"],
+                        "type": "bool",
+                        "value": task_config.auto_training.enable,
+                        "default_value": auto_training_schema["properties"]["enable"]["default"],
+                    },
+                    {
+                        "key": "enable_dynamic_required_annotations",
+                        "name": auto_training_schema["properties"]["enable_dynamic_required_annotations"]["title"],
+                        "description": (
+                            auto_training_schema["properties"]["enable_dynamic_required_annotations"]["description"]
+                        ),
+                        "type": "bool",
+                        "value": task_config.auto_training.enable_dynamic_required_annotations,
+                        "default_value": (
+                            auto_training_schema["properties"]["enable_dynamic_required_annotations"]["default"]
+                        ),
+                    },
+                    {
+                        "key": "min_images_per_label",
+                        "name": auto_training_schema["properties"]["min_images_per_label"]["title"],
+                        "description": auto_training_schema["properties"]["min_images_per_label"]["description"],
+                        "type": "int",
+                        "value": task_config.auto_training.min_images_per_label,
+                        "default_value": auto_training_schema["properties"]["min_images_per_label"]["default"],
+                        "max_value": None,
+                        "min_value": 0,
+                    },
+                ],
+            }
+        )
+    yield {"task_configs": tasks_rest_view}

interactive_ai/services/director/tests/unit/communication/rest_controllers/test_project_configuration_controller.py

@@ -0,0 +1,45 @@
+# Copyright (C) 2022-2025 Intel Corporation
+# LIMITED EDGE SOFTWARE DISTRIBUTION LICENSE
+
+import pytest
+from testfixtures import compare
+
+from communication.controllers.project_configuration_controller import ProjectConfigurationRESTController
+from storage.repos.project_configuration_repo import ProjectConfigurationRepo
+
+from geti_fastapi_tools.exceptions import ProjectNotFoundException
+from geti_types import ID, ProjectIdentifier
+
+
+@pytest.fixture
+def project_configuration_controller():
+    return ProjectConfigurationRESTController()
+
+
+class TestProjectConfigurationRESTController:
+    def test_get_configuration(
+        self,
+        request,
+        fxt_project_identifier,
+        project_configuration_controller,
+        fxt_project_configuration,
+        fxt_project_configuration_rest_view,
+    ) -> None:
+        # Arrange
+        repo = ProjectConfigurationRepo(fxt_project_identifier)
+        request.addfinalizer(lambda: repo.delete_all())
+        repo.save(fxt_project_configuration)
+
+        # Act
+        result = project_configuration_controller.get_configuration(project_identifier=fxt_project_identifier)
+
+        # Convert to dict to compare with expected output
+        compare(result, fxt_project_configuration_rest_view, ignore_eq=True)
+
+    def test_get_configuration_not_found(self, project_configuration_controller) -> None:
+        project_id = ID("dummy_project_id")
+        workspace_id = ID("dummy_workspace_id")
+        project_identifier = ProjectIdentifier(workspace_id=workspace_id, project_id=project_id)
+
+        with pytest.raises(ProjectNotFoundException):
+            project_configuration_controller.get_configuration(project_identifier=project_identifier)