charles
2363cde160
Move contextual information handling from noise filtering to extraction and centralize LLM call logic. Wrap blocking transcription and state update calls in asyncio.to_thread to prevent event loop blocking. Update transcriber model size to base.
85 lines
2.7 KiB
Python
85 lines
2.7 KiB
Python
from typing import List, Optional
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from pydantic import BaseModel, Field
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class LoreUpdate(BaseModel):
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category: str = Field(
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...,
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description="Category of lore: 'NPC', 'Location', 'WorldBuilding', or 'Plot'",
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)
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entity_name: Optional[str] = Field(
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None, description="The name of the NPC, Location, or entity being updated"
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)
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content: str = Field(..., description="The actual lore fact or update")
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context: Optional[str] = Field(
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None, description="Brief context from the conversation that led to this update"
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)
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class InventoryChange(BaseModel):
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item: str = Field(..., description="Name of the item")
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quantity: int = Field(1, description="Quantity of the item")
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action: str = Field(..., description="Either 'added' or 'removed'")
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class CharacterStateUpdate(BaseModel):
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character_name: str = Field(
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..., description="Name of the character whose state is changing"
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)
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hp_change: Optional[int] = Field(
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None, description="Change in HP (negative for damage, positive for healing)"
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)
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status_effects_added: List[str] = Field(
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default_factory=list,
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description="List of status effects applied to the character",
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)
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status_effects_removed: List[str] = Field(
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default_factory=list,
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description="List of status effects removed from the character",
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)
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inventory_changes: List[InventoryChange] = Field(
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default_factory=list,
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description="List of items added or removed from inventory",
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)
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class ContextUpdate(BaseModel):
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query: str = Field(..., description="The search query used to retrieve the context")
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snippet: str = Field(
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..., description="The relevant text snippet retrieved from the source"
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)
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source: str = Field(
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..., description="The source of the snippet (e.g., 'PHB p. 12')"
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)
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class FilterResult(BaseModel):
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filtered_text: str = Field(
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..., description="Cleaned transcript used for structured data extraction"
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)
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class ExtractionResult(BaseModel):
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lore_updates: List[LoreUpdate] = Field(
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default_factory=list, description="List of discovered lore facts", alias="lore"
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)
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character_updates: List[CharacterStateUpdate] = Field(
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default_factory=list,
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description="List of character state changes",
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alias="character_state",
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)
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significant_events: List[str] = Field(
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default_factory=list,
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description="List of significant plot points or events",
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alias="events",
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)
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context_updates: List[ContextUpdate] = Field(
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default_factory=list,
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description="List of context updates",
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alias="context",
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)
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class Config:
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populate_by_name = True
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