"""Feedback system for continuous learning from user interactions.

Provides logging, storage, and analysis of corrections, low-confidence
validations, and conversation gaps to feed back into the training pipeline.
Includes adaptive prompting based on user interaction patterns.
"""

from .adaptive_prompt import AdaptivePromptBuilder, build_adaptive_prompt
from .analyzer import CorrectionPattern, FeedbackAnalyzer, KnowledgeGap
from .logger import (
    CorrectionEvent,
    FeedbackLogger,
    SearchEvent,
    ValidationEvent,
)
from .storage import FeedbackStorage, get_default_storage_path
from .user_stats import CorrectionStats, TopicStats, UserStats, UserStatsTracker

__all__ = [
    # Logging
    "CorrectionEvent",
    "FeedbackLogger",
    "SearchEvent",
    "ValidationEvent",
    # Storage
    "FeedbackStorage",
    "get_default_storage_path",
    # Analysis
    "CorrectionPattern",
    "FeedbackAnalyzer",
    "KnowledgeGap",
    # User Stats
    "CorrectionStats",
    "TopicStats",
    "UserStats",
    "UserStatsTracker",
    # Adaptive Prompting
    "AdaptivePromptBuilder",
    "build_adaptive_prompt",
]