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feat: add daily model statistics aggregation with stats_daily_model table
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"""add stats_daily_model table and rename provider_model_aliases
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Revision ID: a1b2c3d4e5f6
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Revises: f30f9936f6a2
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Create Date: 2025-12-20 12:00:00.000000+00:00
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"""
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from alembic import op
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import sqlalchemy as sa
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from sqlalchemy import inspect
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# revision identifiers, used by Alembic.
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revision = 'a1b2c3d4e5f6'
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down_revision = 'f30f9936f6a2'
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branch_labels = None
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depends_on = None
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def table_exists(table_name: str) -> bool:
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"""检查表是否存在"""
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bind = op.get_bind()
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inspector = inspect(bind)
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return table_name in inspector.get_table_names()
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def column_exists(table_name: str, column_name: str) -> bool:
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"""检查列是否存在"""
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bind = op.get_bind()
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inspector = inspect(bind)
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columns = [col['name'] for col in inspector.get_columns(table_name)]
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return column_name in columns
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def upgrade() -> None:
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"""创建 stats_daily_model 表,重命名 provider_model_aliases 为 provider_model_mappings"""
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# 1. 创建 stats_daily_model 表
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if not table_exists('stats_daily_model'):
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op.create_table(
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'stats_daily_model',
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sa.Column('id', sa.String(36), primary_key=True),
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sa.Column('date', sa.DateTime(timezone=True), nullable=False),
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sa.Column('model', sa.String(100), nullable=False),
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sa.Column('total_requests', sa.Integer(), nullable=False, default=0),
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sa.Column('input_tokens', sa.BigInteger(), nullable=False, default=0),
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sa.Column('output_tokens', sa.BigInteger(), nullable=False, default=0),
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sa.Column('cache_creation_tokens', sa.BigInteger(), nullable=False, default=0),
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sa.Column('cache_read_tokens', sa.BigInteger(), nullable=False, default=0),
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sa.Column('total_cost', sa.Float(), nullable=False, default=0.0),
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sa.Column('avg_response_time_ms', sa.Float(), nullable=False, default=0.0),
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sa.Column('created_at', sa.DateTime(timezone=True), nullable=False,
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server_default=sa.func.now()),
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sa.Column('updated_at', sa.DateTime(timezone=True), nullable=False,
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server_default=sa.func.now(), onupdate=sa.func.now()),
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sa.UniqueConstraint('date', 'model', name='uq_stats_daily_model'),
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)
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# 创建索引
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op.create_index('idx_stats_daily_model_date', 'stats_daily_model', ['date'])
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op.create_index('idx_stats_daily_model_date_model', 'stats_daily_model', ['date', 'model'])
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# 2. 重命名 models 表的 provider_model_aliases 为 provider_model_mappings
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if column_exists('models', 'provider_model_aliases') and not column_exists('models', 'provider_model_mappings'):
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op.alter_column('models', 'provider_model_aliases', new_column_name='provider_model_mappings')
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def index_exists(table_name: str, index_name: str) -> bool:
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"""检查索引是否存在"""
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bind = op.get_bind()
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inspector = inspect(bind)
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indexes = [idx['name'] for idx in inspector.get_indexes(table_name)]
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return index_name in indexes
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def downgrade() -> None:
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"""删除 stats_daily_model 表,恢复 provider_model_aliases 列名"""
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# 恢复列名
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if column_exists('models', 'provider_model_mappings') and not column_exists('models', 'provider_model_aliases'):
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op.alter_column('models', 'provider_model_mappings', new_column_name='provider_model_aliases')
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# 删除表
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if table_exists('stats_daily_model'):
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if index_exists('stats_daily_model', 'idx_stats_daily_model_date_model'):
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op.drop_index('idx_stats_daily_model_date_model', table_name='stats_daily_model')
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if index_exists('stats_daily_model', 'idx_stats_daily_model_date'):
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op.drop_index('idx_stats_daily_model_date', table_name='stats_daily_model')
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op.drop_table('stats_daily_model')
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