yangy
90aec37461
- Created .env.example for environment variable configuration. - Added docker-compose.yml for service orchestration. - Implemented frequency response extraction in extract_frequency_response.py and convert_to_frequency_db.py. - Generated output files: frequency_response_detailed.json, frequency_response_points.json, frequency_response.csv, and frequency_response_curve.png. - Included sample measurement data for FiiO FA19 in CSV format.
42 lines
1.2 KiB
Python
42 lines
1.2 KiB
Python
from sqlalchemy import create_engine
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy.orm import sessionmaker
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import os
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from dotenv import load_dotenv
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# Load environment variables
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load_dotenv()
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# Database configuration
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DATABASE_HOST = os.getenv("DATABASE_HOST", "localhost")
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DATABASE_PORT = os.getenv("DATABASE_PORT", "3306")
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DATABASE_NAME = os.getenv("DATABASE_NAME", "audio")
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DATABASE_USER = os.getenv("DATABASE_USER", "root")
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DATABASE_PASSWORD = os.getenv("DATABASE_PASSWORD", "root123")
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# Create database URL (only charset parameter)
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DATABASE_URL = f"mysql+pymysql://{DATABASE_USER}:{DATABASE_PASSWORD}@{DATABASE_HOST}:{DATABASE_PORT}/{DATABASE_NAME}?charset=utf8mb4"
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# Create engine with additional connection arguments
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# Use connect_args for parameters that shouldn't be in the URL
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engine = create_engine(
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DATABASE_URL,
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echo=os.getenv("DEBUG", "False") == "True",
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connect_args={}
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)
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# Create session factory
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SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
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# Base class for models
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Base = declarative_base()
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def get_db():
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"""Database session dependency"""
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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()
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