mirror of
https://github.com/MODSetter/SurfSense.git
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33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
"""Configurable inputs for the brief-planning graph."""
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from __future__ import annotations
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from dataclasses import dataclass, field, fields
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from langchain_core.runnables import RunnableConfig
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from app.podcasts.duration_limits import (
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DEFAULT_MAX_SECONDS,
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DEFAULT_MIN_SECONDS,
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)
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# Sensible defaults for a fresh brief; the user adjusts the range at the gate.
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DEFAULT_SPEAKER_COUNT = 2
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@dataclass(kw_only=True)
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class BriefConfig:
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"""Signals used to propose a brief; everything here is non-LLM context."""
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speaker_count: int = DEFAULT_SPEAKER_COUNT
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min_seconds: int = DEFAULT_MIN_SECONDS
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max_seconds: int = DEFAULT_MAX_SECONDS
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focus: str | None = None
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last_used_language: str | None = None
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last_used_voices: list[str] = field(default_factory=list)
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@classmethod
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def from_runnable_config(cls, config: RunnableConfig | None = None) -> BriefConfig:
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configurable = (config.get("configurable") or {}) if config else {}
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names = {f.name for f in fields(cls) if f.init}
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return cls(**{k: v for k, v in configurable.items() if k in names})
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