- 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()
62 lines
1.6 KiB
Python
62 lines
1.6 KiB
Python
"""Filesystem application DTOs."""
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from dataclasses import dataclass
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@dataclass
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class SetFolderPathResponse:
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"""Response from setting a folder path."""
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status: str
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folder_name: str | None = None
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path: str | None = None
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error: str | None = None
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message: str | None = None
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def to_dict(self):
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"""Convert to dict for agent compatibility."""
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result = {"status": self.status}
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if self.error:
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result["error"] = self.error
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result["message"] = self.message
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else:
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if self.folder_name:
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result["folder_name"] = self.folder_name
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if self.path:
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result["path"] = self.path
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return result
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@dataclass
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class ListFolderResponse:
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"""Response from listing a folder."""
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status: str
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folder_type: str | None = None
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path: str | None = None
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entries: list[str] | None = None
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count: int | None = None
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error: str | None = None
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message: str | None = None
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def to_dict(self):
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"""Convert to dict for agent compatibility."""
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result = {"status": self.status}
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if self.error:
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result["error"] = self.error
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result["message"] = self.message
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else:
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if self.folder_type:
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result["folder_type"] = self.folder_type
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if self.path:
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result["path"] = self.path
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if self.entries is not None:
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result["entries"] = self.entries
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if self.count is not None:
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result["count"] = self.count
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return result
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