feat: adds userfeedback sentiment calculation to feedback search type

cognee/modules/retrieval/user_qa_feedback.py

@@ -2,10 +2,12 @@ from typing import Any, Optional
 
 from uuid import NAMESPACE_OID, uuid5, UUID
 from cognee.infrastructure.databases.graph import get_graph_engine
+from cognee.infrastructure.llm.get_llm_client import get_llm_client
 from cognee.modules.engine.models import NodeSet
 from cognee.shared.logging_utils import get_logger
 from cognee.modules.retrieval.base_feedback import BaseFeedback
 from cognee.modules.retrieval.utils.models import CogneeUserFeedback
+from cognee.modules.retrieval.utils.models import UserFeedbackEvaluation
 from cognee.tasks.storage import add_data_points
 
 logger = get_logger("CompletionRetriever")
@@ -25,10 +27,15 @@ class UserQAFeedback(BaseFeedback):
         self.last_k = last_k
 
     async def add_feedback(self, feedback_text: str) -> Any:
-        graph_engine = await get_graph_engine()
+        llm_client = get_llm_client()
+        feedback_sentiment = await llm_client.acreate_structured_output(
+            feedback_text,
+            "You are a sentiment analysis assistant. For each piece of user feedback you receive, return exactly one of: Positive, Negative, or Neutral classification",
+            UserFeedbackEvaluation,
+        )
 
+        graph_engine = await get_graph_engine()
         last_interaction_ids = await graph_engine.get_last_user_interaction_ids(limit=self.last_k)
-        print()
 
         nodeset_name = "UserQAFeedbacks"
         feedbacks_node_set = NodeSet(id=uuid5(NAMESPACE_OID, name=nodeset_name), name=nodeset_name)
@@ -37,6 +44,7 @@ class UserQAFeedback(BaseFeedback):
         cognee_user_feedback = CogneeUserFeedback(
             id=feedback_id,
             feedback=feedback_text,
+            sentiment=feedback_sentiment.evaluation.value,
             belongs_to_set=feedbacks_node_set,
         )
 

cognee/modules/retrieval/utils/models.py

@@ -1,6 +1,8 @@
 from typing import Optional
 from cognee.infrastructure.engine.models.DataPoint import DataPoint
 from cognee.modules.engine.models.node_set import NodeSet
+from enum import Enum
+from pydantic import BaseModel, ValidationError
 
 
 class CogneeUserInteraction(DataPoint):
@@ -16,4 +18,15 @@ class CogneeUserFeedback(DataPoint):
     """User - Cognee Feedback"""
 
     feedback: str
+    sentiment: str
     belongs_to_set: Optional[NodeSet] = None
+
+
+class UserFeedbackSentiment(str, Enum):
+    positive = "positive"
+    negative = "negative"
+    neutral = "neutral"
+
+
+class UserFeedbackEvaluation(BaseModel):
+    evaluation: UserFeedbackSentiment