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()
45 lines
1.3 KiB
Python
45 lines
1.3 KiB
Python
"""Movie application DTOs."""
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from dataclasses import dataclass
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@dataclass
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class SearchMovieResponse:
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"""Response from searching for a movie."""
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status: str
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imdb_id: str | None = None
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title: str | None = None
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media_type: str | None = None
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tmdb_id: int | None = None
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overview: str | None = None
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release_date: str | None = None
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vote_average: float | 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.imdb_id:
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result["imdb_id"] = self.imdb_id
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if self.title:
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result["title"] = self.title
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if self.media_type:
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result["media_type"] = self.media_type
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if self.tmdb_id:
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result["tmdb_id"] = self.tmdb_id
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if self.overview:
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result["overview"] = self.overview
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if self.release_date:
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result["release_date"] = self.release_date
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if self.vote_average:
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result["vote_average"] = self.vote_average
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return result
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