feat(cli): better error when no instance configured

packages/ragbits-cli/src/ragbits/cli/_utils.py

@@ -0,0 +1,51 @@
+from pathlib import Path
+from typing import TypeVar
+
+import typer
+from pydantic.alias_generators import to_snake
+from rich.console import Console
+
+from ragbits.core.config import core_config
+from ragbits.core.utils.config_handling import InvalidConfigError, NoDefaultConfigError, WithConstructionConfig
+
+WithConstructionConfigT = TypeVar("WithConstructionConfigT", bound=WithConstructionConfig)
+
+
+def get_instance_or_exit(
+    cls: type[WithConstructionConfigT],
+    type_name: str | None = None,
+    yaml_path: Path | None = None,
+    factory_path: str | None = None,
+    yaml_path_argument_name: str = "--yaml-path",
+    factory_path_argument_name: str = "--factory-path",
+) -> WithConstructionConfigT:
+    """
+    Returns an instance of the provided class, initialized using its `subclass_from_defaults` method.
+    If the instance can't be created, prints an error message and exits the program.
+
+    Args:
+        cls: The class to create an instance of.
+        type_name: The name to use in error messages. If None, inferred from the class name.
+        yaml_path: Path to a YAML configuration file to use for initialization.
+        factory_path: Python path to a factory function to use for initialization.
+        yaml_path_argument_name: The name of the argument to use in error messages for the YAML path.
+        factory_path_argument_name: The name of the argument to use in error messages for the factory path.
+    """
+    type_name = type_name or to_snake(cls.__name__).replace("_", " ")
+    try:
+        return cls.subclass_from_defaults(
+            core_config,
+            factory_path_override=factory_path,
+            yaml_path_override=yaml_path,
+        )
+    except NoDefaultConfigError as e:
+        Console(
+            stderr=True
+        ).print(f"""You need to provide the [b]{type_name}[/b] instance be used. You can do this by either:
+- providing a path to a YAML configuration file with the [b]{yaml_path_argument_name}[/b] option
+- providing a Python path to a function that creates a vector store with the [b]{factory_path_argument_name}[/b] option
+- setting the default configuration or factory function in your project's [b]pyproject.toml[/b] file""")
+        raise typer.Exit(1) from e
+    except InvalidConfigError as e:
+        Console(stderr=True).print(e)
+        raise typer.Exit(1) from e

packages/ragbits-core/src/ragbits/core/utils/config_handling.py

@@ -21,6 +21,12 @@ class InvalidConfigError(Exception):
     """
 
 
+class NoDefaultConfigError(InvalidConfigError):
+    """
+    An exception to be raised when no falling back to default configuration is not possible.
+    """
+
+
 def import_by_path(path: str, default_module: ModuleType | None) -> Any:  # noqa: ANN401
     """
     Retrieves and returns an object based on the string in the format of "module.submodule:object_name".
@@ -155,7 +161,7 @@ def subclass_from_defaults(
         if default_config := defaults.default_instances_config.get(cls.configuration_key):
             return cls.subclass_from_config(ObjectContructionConfig.model_validate(default_config))
 
-        raise InvalidConfigError(f"Could not find default factory or configuration for {cls.configuration_key}")
+        raise NoDefaultConfigError(f"Could not find default factory or configuration for {cls.configuration_key}")
 
     @classmethod
     def from_config(cls, config: dict) -> Self:

packages/ragbits-core/src/ragbits/core/vector_stores/_cli.py

@@ -4,13 +4,11 @@
 
 import typer
 from pydantic import BaseModel
-from rich.console import Console
 
 from ragbits.cli import cli_state, print_output
+from ragbits.cli._utils import get_instance_or_exit
 from ragbits.cli.state import OutputType
-from ragbits.core.config import core_config
 from ragbits.core.embeddings.base import Embeddings
-from ragbits.core.utils.config_handling import InvalidConfigError
 from ragbits.core.vector_stores.base import VectorStore, VectorStoreOptions
 
 vector_stores_app = typer.Typer(no_args_is_help=True)
@@ -27,17 +25,13 @@ class CLIState:
 @vector_stores_app.callback()
 def common_args(
     factory_path: str | None = None,
-    yaml_path: str | None = None,
+    yaml_path: Path | None = None,
 ) -> None:
-    try:
-        state.vector_store = VectorStore.subclass_from_defaults(
-            core_config,
-            factory_path_override=factory_path,
-            yaml_path_override=Path.cwd() / yaml_path if yaml_path else None,
-        )
-    except InvalidConfigError as e:
-        Console(stderr=True).print(e)
-        raise typer.Exit(1) from e
+    state.vector_store = get_instance_or_exit(
+        VectorStore,
+        factory_path=factory_path,
+        yaml_path=yaml_path,
+    )
 
 
 @vector_stores_app.command(name="list")
@@ -85,7 +79,7 @@ def query(
     k: int = 5,
     max_distance: float | None = None,
     embedder_factory_path: str | None = None,
-    embedder_yaml_path: str | None = None,
+    embedder_yaml_path: Path | None = None,
 ) -> None:
     """
     Query the chosen vector store.
@@ -95,16 +89,14 @@ async def run() -> None:
         if state.vector_store is None:
             raise ValueError("Vector store not initialized")
 
-        try:
-            embedder = Embeddings.subclass_from_defaults(
-                core_config,
-                factory_path_override=embedder_factory_path,
-                yaml_path_override=Path.cwd() / embedder_yaml_path if embedder_yaml_path else None,
-            )
-        except InvalidConfigError as e:
-            Console(stderr=True).print(e)
-            raise typer.Exit(1) from e
-
+        embedder = get_instance_or_exit(
+            Embeddings,
+            factory_path=embedder_factory_path,
+            yaml_path=embedder_yaml_path,
+            factory_path_argument_name="--embedder_factory_path",
+            yaml_path_argument_name="--embedder_yaml_path",
+            type_name="embedder",
+        )
         search_vector = await embedder.embed_text([text])
 
         options = VectorStoreOptions(k=k, max_distance=max_distance)