tidy(mm): remove extraneous dependencies in model search

- `config` is unused
- `stats` is created on instantiation
- `logger` uses the app logger

invokeai/app/services/model_install/model_install_default.py

@@ -334,7 +334,7 @@ class ModelInstallService(ModelInstallServiceBase):
     def scan_directory(self, scan_dir: Path, install: bool = False) -> List[str]:  # noqa D102
         self._cached_model_paths = {Path(x.path).absolute() for x in self.record_store.all_models()}
         callback = self._scan_install if install else self._scan_register
-        search = ModelSearch(on_model_found=callback, config=self._app_config)
+        search = ModelSearch(on_model_found=callback)
         self._models_installed.clear()
         search.search(scan_dir)
         return list(self._models_installed)

invokeai/backend/model_manager/search.py

@@ -22,15 +22,11 @@ Example usage:
 
 import os
 from dataclasses import dataclass
-from logging import Logger
 from pathlib import Path
 from typing import Callable, Optional, Set, Union
 
-from invokeai.app.services.config import InvokeAIAppConfig
 from invokeai.backend.util.logging import InvokeAILogger
 
-default_logger: Logger = InvokeAILogger.get_logger()
-
 
 @dataclass
 class SearchStats:
@@ -59,12 +55,9 @@ class ModelSearch:
 
     def __init__(
         self,
-        stats: Optional[SearchStats] = None,
-        logger: Optional[Logger] = None,
         on_search_started: Optional[Callable[[Path], None]] = None,
         on_model_found: Optional[Callable[[Path], bool]] = None,
         on_search_completed: Optional[Callable[[Set[Path]], None]] = None,
-        config: Optional[InvokeAIAppConfig] = None,
     ) -> None:
         """Create a new ModelSearch object.
 
@@ -77,13 +70,12 @@ class ModelSearch:
             on_search_completed: callback to be invoked when the search is completed
             config: configuration object
         """
-        self.stats = stats or SearchStats()
-        self.logger = logger or default_logger
+        self.stats = SearchStats()
+        self.logger = InvokeAILogger.get_logger()
         self.on_search_started = on_search_started
         self.on_model_found = on_model_found
         self.on_search_completed = on_search_completed
         self.models_found: set[Path] = set()
-        self.config = config or InvokeAIAppConfig.get_config()
 
     def search_started(self) -> None:
         self.models_found = set()