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111 lines
4.0 KiB
Python
111 lines
4.0 KiB
Python
"""Session turn analysis from user messages via LLM."""
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from cognee.infrastructure.llm.LLMGateway import LLMGateway
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from cognee.infrastructure.llm.prompts import read_query_prompt
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from cognee.infrastructure.session.feedback_models import SessionTurnAnalysis
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from cognee.shared.logging_utils import get_logger
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logger = get_logger("feedback_detection")
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def _render_served_context(served_context) -> str:
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"""Render served session-context entries as an ``id: content`` block.
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Accepts a pre-rendered string (returned as-is) or a list of dicts/objects exposing
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``id``/``entry_id`` and ``content`` fields. Never raises: malformed items are skipped.
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"""
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if served_context is None:
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return ""
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if isinstance(served_context, str):
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return served_context.strip()
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lines = []
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try:
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for item in served_context:
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if isinstance(item, dict):
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entry_id = item.get("id") or item.get("entry_id")
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content = item.get("content")
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else:
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entry_id = getattr(item, "id", None) or getattr(item, "entry_id", None)
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content = getattr(item, "content", None)
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if entry_id is None or content is None:
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continue
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lines.append(f"{str(entry_id).strip()}: {str(content).strip()}")
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except Exception:
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return ""
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return "\n".join(lines)
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def _append_optional_section(text_input: str, title: str, content: str | None) -> str:
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if not content or not str(content).strip():
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return text_input
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return text_input + f"\n\n{title}:\n" + str(content).strip()
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async def analyze_turn_for_session_context(
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user_message: str,
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*,
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previous_question: str | None = None,
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previous_answer: str | None = None,
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served_context: list | str | None = None,
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) -> SessionTurnAnalysis:
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"""
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Analyze a user message for answer routing and session-context updates.
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When ``served_context`` is provided (a pre-rendered string or a list of session-context
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entries served to the previous answer), it is appended to the LLM input so the single
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turn-analysis call can additionally produce ``served_context_ratings`` and
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``candidate_context_updates``. This adds no extra LLM call.
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Returns a SessionTurnAnalysis. On LLM failure or timeout, returns an empty analysis so
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the main completion flow is never blocked.
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"""
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if not (user_message and str(user_message).strip()):
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return SessionTurnAnalysis()
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try:
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system_prompt = read_query_prompt("feedback_detection_system.txt")
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if not system_prompt:
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logger.warning("Feedback detection: system prompt not found, skipping")
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return SessionTurnAnalysis()
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text_input = "CURRENT USER MESSAGE:\n" + user_message.strip()
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text_input = _append_optional_section(
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text_input,
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"PREVIOUS QUESTION",
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previous_question,
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)
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text_input = _append_optional_section(
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text_input,
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"PREVIOUS ANSWER",
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previous_answer,
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)
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rendered_context = _render_served_context(served_context)
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if rendered_context:
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text_input = (
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text_input
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+ "\n\nSESSION CONTEXT ENTRIES SERVED TO THE PREVIOUS ANSWER (id: content):\n"
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+ rendered_context
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)
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result = await LLMGateway.acreate_structured_output(
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text_input=text_input,
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system_prompt=system_prompt,
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response_model=SessionTurnAnalysis,
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)
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return result
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except Exception as e:
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logger.warning(
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"Session turn analysis failed, proceeding with empty analysis: %s",
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e,
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exc_info=False,
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)
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return SessionTurnAnalysis()
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async def detect_feedback(
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user_message: str, served_context: list | str | None = None
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) -> SessionTurnAnalysis:
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"""Compatibility wrapper for older call sites."""
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return await analyze_turn_for_session_context(user_message, served_context=served_context)
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