from .text_preprocessor import TextPreprocessor
from .emotion_classifier import EmotionClassifier
from .shift_detector import ShiftDetector
from .explanation_engine import ExplanationEngine

class EmotionShiftPipeline:
    def __init__(self):
        self.p = TextPreprocessor(); self.c = EmotionClassifier()
        self.d = ShiftDetector(); self.e = ExplanationEngine()
    def __call__(self, conv):
        emotions = [self.c.classify(self.p.clean(t)) for t in conv]
        shifts = self.d.detect(emotions)
        return {'emotions': emotions, 'shifts': shifts, 'explanations': [self.e.explain(s) for s in shifts]}