85 lines
2.7 KiB
Python
85 lines
2.7 KiB
Python
import asyncio
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from dataclasses import dataclass
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from typing import TYPE_CHECKING
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from pydantic import BaseModel, Field
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from haiku.rag.client import HaikuRAG
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from haiku.rag.graph.research.dependencies import ResearchContext
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from haiku.rag.graph.research.models import (
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EvaluationResult,
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InsightAnalysis,
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ResearchReport,
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)
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if TYPE_CHECKING:
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from haiku.rag.config.models import AppConfig
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from haiku.rag.graph.agui.emitter import AGUIEmitter
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@dataclass
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class ResearchDeps:
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"""Dependencies for research graph execution."""
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client: HaikuRAG
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agui_emitter: "AGUIEmitter[ResearchState, ResearchReport] | None" = None
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semaphore: asyncio.Semaphore | None = None
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def emit_log(self, message: str, state: "ResearchState | None" = None) -> None:
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"""Emit a log message through AG-UI events.
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Args:
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message: The message to log
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state: Optional state to include in state update
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"""
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if self.agui_emitter:
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self.agui_emitter.log(message)
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if state:
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self.agui_emitter.update_state(state)
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class ResearchState(BaseModel):
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"""Research graph state model.
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Fully JSON-serializable Pydantic model suitable for AG-UI state synchronization.
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"""
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model_config = {"arbitrary_types_allowed": True}
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context: ResearchContext = Field(
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description="Shared research context with questions, insights, and gaps"
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)
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iterations: int = Field(default=0, description="Current iteration number")
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max_iterations: int = Field(default=3, description="Maximum allowed iterations")
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confidence_threshold: float = Field(
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default=0.8, description="Confidence threshold for completion", ge=0.0, le=1.0
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)
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max_concurrency: int = Field(
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default=1, description="Maximum concurrent search operations", ge=1
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)
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last_eval: EvaluationResult | None = Field(
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default=None, description="Last evaluation result"
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)
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last_analysis: InsightAnalysis | None = Field(
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default=None, description="Last insight analysis"
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)
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@classmethod
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def from_config(
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cls, context: ResearchContext, config: "AppConfig"
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) -> "ResearchState":
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"""Create a ResearchState from an AppConfig.
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Args:
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context: The ResearchContext containing the question and settings
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config: The AppConfig object (uses config.research for state parameters)
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Returns:
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A configured ResearchState instance
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"""
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return cls(
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context=context,
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max_iterations=config.research.max_iterations,
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confidence_threshold=config.research.confidence_threshold,
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max_concurrency=config.research.max_concurrency,
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)
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