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Feedback API Routes
Endpoints for collecting user feedback on search results.
"""
from fastapi import APIRouter, HTTPException, Depends
from pydantic import BaseModel, Field
from typing import Optional, Dict, Any
import logging
from src.infrastructure.adapters.feedback_tracker import feedback_tracker
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/feedback", tags=["feedback"])
# ═══════════════════════════════════════════════════════════════════════════
# REQUEST MODELS
# ═══════════════════════════════════════════════════════════════════════════
class ThumbsFeedback(BaseModel):
"""Thumbs up/down feedback"""
session_id: str = Field(..., description="User session ID")
query: str = Field(..., description="Original query")
thumbs_up: bool = Field(..., description="True for thumbs up, False for thumbs down")
comment: Optional[str] = Field(None, description="Optional comment")
query_metadata: Dict[str, Any] = Field(..., description="Query metadata from response")
class SourceRating(BaseModel):
"""Rating for a specific source"""
session_id: str = Field(..., description="User session ID")
query: str = Field(..., description="Original query")
source_name: str = Field(..., description="Source name")
rating: int = Field(..., ge=1, le=5, description="Rating from 1-5")
comment: Optional[str] = Field(None, description="Optional comment")
query_metadata: Dict[str, Any] = Field(..., description="Query metadata from response")
class IntentCorrection(BaseModel):
"""Correction for intent classification"""
session_id: str = Field(..., description="User session ID")
query: str = Field(..., description="Original query")
classified_intent: str = Field(..., description="Intent that was classified")
correct_intent: str = Field(..., description="Correct intent")
comment: Optional[str] = Field(None, description="Optional comment")
query_metadata: Dict[str, Any] = Field(..., description="Query metadata from response")
# ═══════════════════════════════════════════════════════════════════════════
# ENDPOINTS
# ═══════════════════════════════════════════════════════════════════════════
@router.post("/thumbs")
async def submit_thumbs_feedback(feedback: ThumbsFeedback):
"""
Submit thumbs up/down feedback on search results.
This helps us understand which results are helpful and which aren't.
"""
try:
if not feedback_tracker:
raise HTTPException(status_code=503, detail="Feedback system not available")
feedback_tracker.record_feedback(
session_id=feedback.session_id,
query=feedback.query,
feedback_type="thumbs_up" if feedback.thumbs_up else "thumbs_down",
feedback_value=feedback.thumbs_up,
query_metadata=feedback.query_metadata,
feedback_comment=feedback.comment
)
return {
"status": "success",
"message": "Thank you for your feedback!",
"feedback_type": "thumbs_up" if feedback.thumbs_up else "thumbs_down"
}
except Exception as e:
logger.error(f"Failed to submit thumbs feedback: {e}")
raise HTTPException(status_code=500, detail=str(e))
@router.post("/source-rating")
async def submit_source_rating(rating: SourceRating):
"""
Submit rating for a specific source.
This helps us understand which sources provide the best information.
"""
try:
if not feedback_tracker:
raise HTTPException(status_code=503, detail="Feedback system not available")
feedback_tracker.record_feedback(
session_id=rating.session_id,
query=rating.query,
feedback_type="source_rating",
feedback_value={"source": rating.source_name, "rating": rating.rating},
query_metadata=rating.query_metadata,
feedback_comment=rating.comment
)
return {
"status": "success",
"message": f"Thank you for rating {rating.source_name}!",
"source": rating.source_name,
"rating": rating.rating
}
except Exception as e:
logger.error(f"Failed to submit source rating: {e}")
raise HTTPException(status_code=500, detail=str(e))
@router.post("/intent-correction")
async def submit_intent_correction(correction: IntentCorrection):
"""
Submit correction for intent classification.
This helps us improve our understanding of what users are looking for.
"""
try:
if not feedback_tracker:
raise HTTPException(status_code=503, detail="Feedback system not available")
feedback_tracker.record_feedback(
session_id=correction.session_id,
query=correction.query,
feedback_type="intent_correction",
feedback_value={
"classified": correction.classified_intent,
"correct": correction.correct_intent
},
query_metadata=correction.query_metadata,
feedback_comment=correction.comment
)
return {
"status": "success",
"message": "Thank you for the correction!",
"classified_intent": correction.classified_intent,
"correct_intent": correction.correct_intent
}
except Exception as e:
logger.error(f"Failed to submit intent correction: {e}")
raise HTTPException(status_code=500, detail=str(e))
@router.get("/stats")
async def get_feedback_stats(days: int = 7):
"""
Get feedback statistics for the last N days.
Args:
days: Number of days to analyze (default: 7)
Returns:
Feedback statistics including counts, averages, and accuracy metrics
"""
try:
if not feedback_tracker:
raise HTTPException(status_code=503, detail="Feedback system not available")
stats = feedback_tracker.get_feedback_stats(days=days)
accuracy = feedback_tracker.get_intent_accuracy(days=days)
return {
"status": "success",
"feedback_stats": stats,
"intent_accuracy": accuracy
}
except Exception as e:
logger.error(f"Failed to get feedback stats: {e}")
raise HTTPException(status_code=500, detail=str(e))
@router.get("/low-confidence-queries")
async def get_low_confidence_queries(threshold: float = 0.7, limit: int = 100):
"""
Get queries with low intent classification confidence.
Args:
threshold: Confidence threshold (default: 0.7)
limit: Maximum number of queries (default: 100)
Returns:
List of low-confidence queries for review
"""
try:
if not feedback_tracker:
raise HTTPException(status_code=503, detail="Feedback system not available")
queries = feedback_tracker.get_low_confidence_queries(
threshold=threshold,
limit=limit
)
return {
"status": "success",
"threshold": threshold,
"count": len(queries),
"queries": queries
}
except Exception as e:
logger.error(f"Failed to get low confidence queries: {e}")
raise HTTPException(status_code=500, detail=str(e))
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