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https://github.com/lfnovo/open-notebook.git
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46 lines
1.3 KiB
Python
46 lines
1.3 KiB
Python
import os
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from langchain_core.runnables import (
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RunnableConfig,
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)
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from langgraph.graph import END, START, StateGraph
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from typing_extensions import TypedDict
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from open_notebook.domain import Note, Notebook, Source
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from open_notebook.graphs.utils import run_pattern
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class DocQueryState(TypedDict):
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doc_id: str
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doc_content: str
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question: str
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answer: str
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notebook: Notebook
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def call_model(state: dict, config: RunnableConfig) -> dict:
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model_name = config.get("configurable", {}).get(
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"model_name", os.environ.get("RETRIEVAL_MODEL")
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)
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return {"answer": run_pattern("doc_query", model_name, state)}
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# todo: there is probably a better way to do this and avoid repetition
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def get_content(state: DocQueryState) -> dict:
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doc_id = state["doc_id"]
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if "note:" in doc_id:
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doc: Note = Note.get(id=doc_id)
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elif "source:" in doc_id:
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doc: Source = Source.get(id=doc_id)
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doc_content = doc.get_context("long") if doc else None
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return {"doc_content": doc_content}
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agent_state = StateGraph(DocQueryState)
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agent_state.add_node("get_content", get_content)
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agent_state.add_node("agent", call_model)
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agent_state.add_edge(START, "get_content")
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agent_state.add_edge("get_content", "agent")
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agent_state.add_edge("agent", END)
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graph = agent_state.compile()
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