sentiment_analyzer / models.py
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Create models.py
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from sqlalchemy import Boolean, Column, ForeignKey, Integer, String,DateTime,Float
from datetime import datetime
import database
class SentimentResult(database.Base):
__tablename__ = "sentiment_results"
id = Column(Integer, primary_key=True, index=True)
text_id = Column(Integer, ForeignKey("textinputs.id"))
positive_score = Column(Float)
negative_score = Column(Float)
neutral_score = Column(Float)
created_at = Column(DateTime, default=datetime.utcnow)