File size: 2,007 Bytes
a7d7463 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 | """User Feedback Handler"""
import time
from typing import Optional, Dict
from enum import Enum
class FeedbackType(Enum):
"""Types of user feedback"""
POSITIVE = "positive"
NEGATIVE = "negative"
NEUTRAL = "neutral"
class FeedbackHandler:
"""Handle user feedback"""
def __init__(self):
self.feedback_history: list[Dict] = []
def collect_feedback(
self, response_id: str, helpful: bool, comment: Optional[str] = None
):
"""Collect user feedback"""
feedback = {
"response_id": response_id,
"helpful": helpful,
"comment": comment,
"timestamp": time.time(),
}
self.feedback_history.append(feedback)
return feedback
def get_average_rating(self) -> float:
"""Calculate average feedback rating"""
if not self.feedback_history:
return 0.0
positive = sum(1 for f in self.feedback_history if f["helpful"])
return positive / len(self.feedback_history)
def show_feedback_prompt(self):
"""Show feedback prompt"""
print("\n[bold cyan]Was this response helpful?[/bold cyan]")
print(" [green]1.[/green] Yes 👍")
print(" [red]2.[/red] No 👎")
print(" [yellow]3.[/yellow] Skip ⏭️")
def process_quick_feedback(self, rating: int) -> Dict:
"""Process quick feedback"""
feedback_map = {
1: (True, "positive"),
2: (False, "negative"),
3: (None, "neutral"),
}
helpful, ftype = feedback_map.get(rating, (None, "neutral"))
if helpful is not None:
return self.collect_feedback(
f"response_{int(time.time())}", helpful=helpful
)
return {"type": "skipped"}
def quick_feedback_prompt():
"""Quick feedback prompt"""
print("\n📊 Quick Feedback:")
print(" 👍 This helped!")
print(" 👎 Needs improvement")
print(" ⏭️ Skip")
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