"""Add new fields to Song model Revision ID: a7cb4e9f8d21 Revises: previous_revision_id Create Date: 2023-06-10 12:34:56.789012 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = 'a7cb4e9f8d21' down_revision = 'previous_revision_id' # replace with your previous migration id branch_labels = None depends_on = None def upgrade(): # Add new columns to the song table op.add_column('song', sa.Column('isrc', sa.String(50), nullable=True)) op.add_column('song', sa.Column('album_name', sa.String(100), nullable=True)) op.add_column('song', sa.Column('metadata_sources', sa.String(100), nullable=True)) op.add_column('song', sa.Column('import_date', sa.DateTime, nullable=True)) # Create index for ISRC op.create_index(op.f('ix_song_isrc'), 'song', ['isrc'], unique=False) # Increase length of existing URL columns op.alter_column('song', 'preview_url', type_=sa.String(255)) op.alter_column('song', 'cover_url', type_=sa.String(255)) def downgrade(): # Remove the new columns op.drop_index(op.f('ix_song_isrc'), table_name='song') op.drop_column('song', 'isrc') op.drop_column('song', 'album_name') op.drop_column('song', 'metadata_sources') op.drop_column('song', 'import_date') # Restore original column lengths op.alter_column('song', 'preview_url', type_=sa.String(200)) op.alter_column('song', 'cover_url', type_=sa.String(200)) def run_migration(): """ Add additional song fields to the song table if they don't exist. """ import sqlite3 import os import logging logger = logging.getLogger(__name__) logger.info("Running migration: add_song_fields") # Try to get the database path from Flask config first try: from flask import current_app if current_app and current_app.config.get('SQLALCHEMY_DATABASE_URI'): # Extract path from URI db_uri = current_app.config['SQLALCHEMY_DATABASE_URI'] if db_uri.startswith('sqlite:///'): db_path = db_uri[10:] # Remove 'sqlite:///' logger.info(f"Got database path from Flask config: {db_path}") else: # Use DATABASE_PATH if available db_path = current_app.config.get('DATABASE_PATH', '/data/song_data.db') logger.info(f"Using DATABASE_PATH: {db_path}") else: # If Flask isn't running, try Docker standard path db_path = '/data/song_data.db' logger.info(f"Flask not available, using default path: {db_path}") except Exception as e: # Fallbacks in case Flask isn't available logger.warning(f"Could not get path from Flask: {str(e)}") # Try environment variable db_path = os.environ.get('DATABASE_PATH', '/data/song_data.db') logger.info(f"Using DATABASE_PATH from environment: {db_path}") if not os.path.exists(db_path): logger.warning(f"Database not found at {db_path}") return False try: # Connect to the database logger.info(f"Connecting to database at: {db_path}") conn = sqlite3.connect(db_path) cursor = conn.cursor() # Get existing columns cursor.execute("PRAGMA table_info(song)") columns = [column[1] for column in cursor.fetchall()] # Define the new columns to add new_columns = [ ("album_name", "VARCHAR(200)"), ("metadata_sources", "VARCHAR(500)"), ("import_date", "DATETIME"), ("source", "VARCHAR(20)") ] # Add each column if it doesn't exist for column_name, column_type in new_columns: if column_name not in columns: sql = f"ALTER TABLE song ADD COLUMN {column_name} {column_type}" cursor.execute(sql) logger.info(f"Added column: {column_name} {column_type}") else: logger.info(f"Column already exists: {column_name}") # Commit changes and close connection conn.commit() conn.close() logger.info("Migration add_song_fields completed successfully") return True except Exception as e: logger.error(f"Migration add_song_fields failed: {str(e)}") return False if __name__ == "__main__": # Set up logging when run directly import logging logging.basicConfig(level=logging.INFO) run_migration()