mxr612
319844e55c
- Implemented a new endpoint to download scale results as a CSV file. - The endpoint retrieves responses based on the scale ID and formats the data, including question IDs and subscale scores, into a CSV format. - Updated database URL to remove the public directory reference for better file access.
38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
from sqlalchemy import create_engine, Column, Integer, String, Float, DateTime, ForeignKey, JSON
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy.orm import sessionmaker, relationship
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import json
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SQLALCHEMY_DATABASE_URL = "sqlite:///./psychoscales.db"
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engine = create_engine(
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SQLALCHEMY_DATABASE_URL,
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connect_args={"check_same_thread": False},
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json_serializer=lambda obj: json.dumps(obj, ensure_ascii=False)
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)
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SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
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Base = declarative_base()
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class ScaleResult(Base):
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__tablename__ = "responses"
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id = Column(Integer, primary_key=True, index=True)
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scale_id = Column(String, index=True)
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user_agent = Column(String)
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ip_address = Column(String)
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location = Column(JSON)
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raw_response = Column(JSON)
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sum_response = Column(JSON)
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avg_response = Column(JSON)
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created_at = Column(DateTime)
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# Create tables
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Base.metadata.create_all(bind=engine)
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# Dependency
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def get_db():
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db = SessionLocal()
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try:
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yield db
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finally:
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db.close() |