Francwa
9ca31e45e0
- Fix circular dependencies in agent/tools - Migrate from custom JSON to OpenAI tool calls format - Add async streaming (step_stream, complete_stream) - Simplify prompt system and remove token counting - Add 5 new API endpoints (/health, /v1/models, /api/memory/*) - Add 3 new tools (get_torrent_by_index, add_torrent_by_index, set_language) - Fix all 500 tests and add coverage config (80% threshold) - Add comprehensive docs (README, pytest guide) BREAKING: LLM interface changed, memory injection via get_memory()
53 lines
1.4 KiB
Python
53 lines
1.4 KiB
Python
"""List folder use case."""
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import logging
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from infrastructure.filesystem import FileManager
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from .dto import ListFolderResponse
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logger = logging.getLogger(__name__)
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class ListFolderUseCase:
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"""
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Use case for listing folder contents.
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This orchestrates the FileManager to list folders.
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"""
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def __init__(self, file_manager: FileManager):
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"""
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Initialize use case.
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Args:
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file_manager: FileManager instance
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"""
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self.file_manager = file_manager
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def execute(self, folder_type: str, path: str = ".") -> ListFolderResponse:
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"""
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List contents of a folder.
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Args:
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folder_type: Type of folder to list (download, tvshow, movie, torrent)
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path: Relative path within the folder (default: ".")
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Returns:
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ListFolderResponse with folder contents or error information
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"""
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result = self.file_manager.list_folder(folder_type, path)
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if result.get("status") == "ok":
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return ListFolderResponse(
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status="ok",
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folder_type=result.get("folder_type"),
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path=result.get("path"),
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entries=result.get("entries"),
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count=result.get("count"),
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)
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else:
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return ListFolderResponse(
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status="error", error=result.get("error"), message=result.get("message")
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)
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