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chore(graph): Relocate QueryAnalysis schema and update existing tests for Orchestrator architecture

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Yunxiao Xu
2026-02-23 05:58:58 -08:00
parent ad7845cc6a
commit f4d09c07c4
7 changed files with 199 additions and 227 deletions
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10
backend/src/ea_chatbot/graph/nodes/query_analyzer.py
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@@ -1,18 +1,10 @@
from typing import List, Literal
from pydantic import BaseModel, Field
from ea_chatbot.graph.state import AgentState
from ea_chatbot.config import Settings
from ea_chatbot.utils.llm_factory import get_llm_model
from ea_chatbot.utils.logging import get_logger, LangChainLoggingHandler
from ea_chatbot.graph.prompts.query_analyzer import QUERY_ANALYZER_PROMPT
class QueryAnalysis(BaseModel):
"""Analysis of the user's query."""
data_required: List[str] = Field(description="List of data points or entities mentioned (e.g., ['2024 results', 'Florida']).")
unknowns: List[str] = Field(description="List of target information the user wants to know or needed for final answer (e.g., 'who won', 'total votes').")
ambiguities: List[str] = Field(description="List of CRITICAL missing details that prevent ANY analysis. Do NOT include database names or plot types if defaults can be used.")
conditions: List[str] = Field(description="List of any filters or constraints (e.g., ['year=2024', 'state=Florida']). Include context resolved from history.")
next_action: Literal["plan", "clarify", "research"] = Field(description="The next action to take. 'plan' for data analysis (even with defaults), 'research' for general knowledge, or 'clarify' ONLY for critical ambiguities.")
from ea_chatbot.schemas import QueryAnalysis
def query_analyzer_node(state: AgentState) -> dict:
"""Analyze the user's question and determine the next course of action."""

10
backend/src/ea_chatbot/schemas.py
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@@ -1,7 +1,15 @@
from pydantic import BaseModel, Field, computed_field
from typing import Sequence, Optional, List, Dict, Any
from typing import Sequence, Optional, List, Dict, Any, Literal
import re
class QueryAnalysis(BaseModel):
"""Analysis of the user's query."""
data_required: List[str] = Field(description="List of data points or entities mentioned (e.g., ['2024 results', 'Florida']).")
unknowns: List[str] = Field(description="List of target information the user wants to know or needed for final answer (e.g., 'who won', 'total votes').")
ambiguities: List[str] = Field(description="List of CRITICAL missing details that prevent ANY analysis. Do NOT include database names or plot types if defaults can be used.")
conditions: List[str] = Field(description="List of any filters or constraints (e.g., ['year=2024', 'state=Florida']). Include context resolved from history.")
next_action: Literal["plan", "clarify", "research"] = Field(description="The next action to take. 'plan' for data analysis (even with defaults), 'research' for general knowledge, or 'clarify' ONLY for critical ambiguities.")
class TaskPlanContext(BaseModel):
'''Background context relevant to the task plan'''
initial_context: str = Field(