monkeypatch = <_pytest.monkeypatch.MonkeyPatch object at 0x7f12c28dbca0>

    def test_get_default_llm(monkeypatch: pytest.MonkeyPatch) -> None:
        """
        Test the get_llm_from_factory function.
        """
        monkeypatch.setattr(
            core_config, "default_llm_factories", {"text": "factory.test_get_llm_from_factory.mock_llm_factory"}
        )
    
>       llm = get_default_llm()

packages/ragbits-core/tests/unit/llms/factory/test_get_default_llm.py:16: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

llm_type = <LLMType.TEXT: 'text'>

    def get_default_llm(llm_type: LLMType = LLMType.TEXT) -> LLM:
        """
        Get an instance of the default LLM using the factory function
        specified in the configuration.
    
        Args:
            llm_type: type of the LLM to get, defaults to text
    
        Returns:
            LLM: An instance of the default LLM.
    
        Raises:
            ValueError: If the default LLM factory is not set or expected llm type is not defined in config
        """
        if llm_type not in core_config.default_llm_factories:
>           raise ValueError(f"Default LLM of type {llm_type} is not defined in pyproject.toml config.")
E           ValueError: Default LLM of type LLMType.TEXT is not defined in pyproject.toml config.

packages/ragbits-core/src/ragbits/core/llms/factory.py:50: ValueError

monkeypatch = <_pytest.monkeypatch.MonkeyPatch object at 0x7f11f80d8940>

    def test_has_default_llm_false(monkeypatch: pytest.MonkeyPatch) -> None:
        """
        Test the has_default_llm function when the default LLM factory is set.
        """
        monkeypatch.setattr(core_config, "default_llm_factories", {"text": "my_project.llms.get_llm"})
    
>       assert has_default_llm() is True
E       assert False is True
E        +  where False = has_default_llm()

packages/ragbits-core/tests/unit/llms/factory/test_has_default_llm.py:22: AssertionError

def test_get_config_instance():
        """Test getting Pydantic model instance from pyproject.toml file."""
>       config = get_config_instance(
            HappyProjectConfig,
            subproject="happy-project",
            current_dir=projects_dir / "happy_project",
        )

packages/ragbits-core/tests/unit/utils/pyproject/test_get_instace.py:29: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

model = <class 'test_get_instace.HappyProjectConfig'>
subproject = 'happy-project'
current_dir = PosixPath('/home/runner/work/ragbits/ragbits/packages/ragbits-core/tests/unit/utils/pyproject/testprojects/happy_project')

    def get_config_instance(
        model: type[ConfigModelT], subproject: str | None = None, current_dir: Path | None = None
    ) -> ConfigModelT:
        """
        Creates an instance of pydantic model loaded with the configuration from pyproject.toml.
    
        Args:
            model (Type[BaseModel]): The pydantic model to instantiate.
            subproject (str, optional): The subproject to get the configuration for, defaults to giving entire
                ragbits configuration.
            current_dir (Path, optional): The directory to start searching for the pyproject.toml file. Defaults to the
                current working directory
    
        Returns:
            ConfigModelT: The model instance loaded with the configuration
        """
        current_dir = current_dir or Path.cwd()
    
        config = get_ragbits_config(current_dir)
        if subproject:
            config = config.get(subproject, {})
>       config["default_llm_factories"] = {_resolve_enum_member(k): v for k, v in config["default_llm_factories"].items()}
E       KeyError: 'default_llm_factories'

packages/ragbits-core/src/ragbits/core/utils/_pyproject.py:86: KeyError

def test_get_config_instance_additional_fields():
        """Test that unknown fields are ignored."""
>       config = get_config_instance(
            PartialHappyProjectConfig,
            subproject="happy-project",
            current_dir=projects_dir / "happy_project",
        )

packages/ragbits-core/tests/unit/utils/pyproject/test_get_instace.py:40: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

model = <class 'test_get_instace.PartialHappyProjectConfig'>
subproject = 'happy-project'
current_dir = PosixPath('/home/runner/work/ragbits/ragbits/packages/ragbits-core/tests/unit/utils/pyproject/testprojects/happy_project')

    def get_config_instance(
        model: type[ConfigModelT], subproject: str | None = None, current_dir: Path | None = None
    ) -> ConfigModelT:
        """
        Creates an instance of pydantic model loaded with the configuration from pyproject.toml.
    
        Args:
            model (Type[BaseModel]): The pydantic model to instantiate.
            subproject (str, optional): The subproject to get the configuration for, defaults to giving entire
                ragbits configuration.
            current_dir (Path, optional): The directory to start searching for the pyproject.toml file. Defaults to the
                current working directory
    
        Returns:
            ConfigModelT: The model instance loaded with the configuration
        """
        current_dir = current_dir or Path.cwd()
    
        config = get_ragbits_config(current_dir)
        if subproject:
            config = config.get(subproject, {})
>       config["default_llm_factories"] = {_resolve_enum_member(k): v for k, v in config["default_llm_factories"].items()}
E       KeyError: 'default_llm_factories'

packages/ragbits-core/src/ragbits/core/utils/_pyproject.py:86: KeyError

def test_get_config_instance_optional_fields():
        """Test that optional fields are filled with default values if not present in the file."""
>       config = get_config_instance(
            OptionalHappyProjectConfig,
            subproject="happy-project",
            current_dir=projects_dir / "happy_project",
        )

packages/ragbits-core/tests/unit/utils/pyproject/test_get_instace.py:51: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

model = <class 'test_get_instace.OptionalHappyProjectConfig'>
subproject = 'happy-project'
current_dir = PosixPath('/home/runner/work/ragbits/ragbits/packages/ragbits-core/tests/unit/utils/pyproject/testprojects/happy_project')

    def get_config_instance(
        model: type[ConfigModelT], subproject: str | None = None, current_dir: Path | None = None
    ) -> ConfigModelT:
        """
        Creates an instance of pydantic model loaded with the configuration from pyproject.toml.
    
        Args:
            model (Type[BaseModel]): The pydantic model to instantiate.
            subproject (str, optional): The subproject to get the configuration for, defaults to giving entire
                ragbits configuration.
            current_dir (Path, optional): The directory to start searching for the pyproject.toml file. Defaults to the
                current working directory
    
        Returns:
            ConfigModelT: The model instance loaded with the configuration
        """
        current_dir = current_dir or Path.cwd()
    
        config = get_ragbits_config(current_dir)
        if subproject:
            config = config.get(subproject, {})
>       config["default_llm_factories"] = {_resolve_enum_member(k): v for k, v in config["default_llm_factories"].items()}
E       KeyError: 'default_llm_factories'

packages/ragbits-core/src/ragbits/core/utils/_pyproject.py:86: KeyError

def test_get_config_instance_no_file():
        """Test getting config when the pyproject.toml file is not found (wich no required fields)."""
>       config = get_config_instance(
            OptionalHappyProjectConfig,
            subproject="happy-project",
            current_dir=Path("/"),
        )

packages/ragbits-core/tests/unit/utils/pyproject/test_get_instace.py:62: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

model = <class 'test_get_instace.OptionalHappyProjectConfig'>
subproject = 'happy-project', current_dir = PosixPath('/')

    def get_config_instance(
        model: type[ConfigModelT], subproject: str | None = None, current_dir: Path | None = None
    ) -> ConfigModelT:
        """
        Creates an instance of pydantic model loaded with the configuration from pyproject.toml.
    
        Args:
            model (Type[BaseModel]): The pydantic model to instantiate.
            subproject (str, optional): The subproject to get the configuration for, defaults to giving entire
                ragbits configuration.
            current_dir (Path, optional): The directory to start searching for the pyproject.toml file. Defaults to the
                current working directory
    
        Returns:
            ConfigModelT: The model instance loaded with the configuration
        """
        current_dir = current_dir or Path.cwd()
    
        config = get_ragbits_config(current_dir)
        if subproject:
            config = config.get(subproject, {})
>       config["default_llm_factories"] = {_resolve_enum_member(k): v for k, v in config["default_llm_factories"].items()}
E       KeyError: 'default_llm_factories'

packages/ragbits-core/src/ragbits/core/utils/_pyproject.py:86: KeyError