79 lines
3.9 KiB
Python
79 lines
3.9 KiB
Python
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"""Initial schema for training service
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Revision ID: 0001
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Revises:
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Create Date: 2025-09-30 18:00:00.0000
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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.dialects import postgresql
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# revision identifiers, used by Alembic.
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revision = '00001'
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down_revision = None
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branch_labels = None
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depends_on = None
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def upgrade() -> None:
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op.create_table('training_jobs',
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sa.Column('id', sa.UUID(), nullable=False),
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sa.Column('tenant_id', sa.UUID(), nullable=False),
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sa.Column('model_id', sa.UUID(), nullable=False),
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sa.Column('job_name', sa.String(255), nullable=False),
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sa.Column('job_type', sa.String(100), nullable=False),
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sa.Column('status', sa.String(50), nullable=True),
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sa.Column('progress', sa.Float(), nullable=True),
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sa.Column('parameters', postgresql.JSON(astext_type=sa.Text()), nullable=True),
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sa.Column('metrics', postgresql.JSON(astext_type=sa.Text()), nullable=True),
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sa.Column('training_data_path', sa.String(500), nullable=True),
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sa.Column('model_path', sa.String(500), nullable=True),
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sa.Column('started_at', sa.DateTime(), nullable=True),
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sa.Column('completed_at', sa.DateTime(), nullable=True),
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sa.Column('created_at', sa.DateTime(), server_default=sa.text('now()'), nullable=True),
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sa.Column('updated_at', sa.DateTime(), nullable=True),
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sa.PrimaryKeyConstraint('id')
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)
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op.create_index(op.f('ix_training_jobs_tenant_id'), 'training_jobs', ['tenant_id'], unique=False)
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op.create_index(op.f('ix_training_jobs_model_id'), 'training_jobs', ['model_id'], unique=False)
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op.create_index(op.f('ix_training_jobs_status'), 'training_jobs', ['status'], unique=False)
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op.create_index(op.f('ix_training_jobs_job_type'), 'training_jobs', ['job_type'], unique=False)
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op.create_table('ml_models',
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sa.Column('id', sa.UUID(), nullable=False),
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sa.Column('tenant_id', sa.UUID(), nullable=False),
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sa.Column('name', sa.String(255), nullable=False),
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sa.Column('version', sa.String(50), nullable=False),
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sa.Column('model_type', sa.String(100), nullable=False),
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sa.Column('description', sa.Text(), nullable=True),
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sa.Column('status', sa.String(50), nullable=True),
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sa.Column('accuracy', sa.Float(), nullable=True),
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sa.Column('f1_score', sa.Float(), nullable=True),
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sa.Column('precision', sa.Float(), nullable=True),
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sa.Column('recall', sa.Float(), nullable=True),
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sa.Column('model_path', sa.String(500), nullable=True),
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sa.Column('hyperparameters', postgresql.JSON(astext_type=sa.Text()), nullable=True),
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sa.Column('training_data_info', postgresql.JSON(astext_type=sa.Text()), nullable=True),
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sa.Column('created_at', sa.DateTime(), server_default=sa.text('now()'), nullable=True),
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sa.Column('updated_at', sa.DateTime(), nullable=True),
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sa.PrimaryKeyConstraint('id')
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)
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op.create_index(op.f('ix_ml_models_tenant_id'), 'ml_models', ['tenant_id'], unique=False)
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op.create_index(op.f('ix_ml_models_name'), 'ml_models', ['name'], unique=False)
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op.create_index(op.f('ix_ml_models_version'), 'ml_models', ['version'], unique=False)
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op.create_index(op.f('ix_ml_models_status'), 'ml_models', ['status'], unique=False)
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def downgrade() -> None:
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op.drop_index(op.f('ix_ml_models_status'), table_name='ml_models')
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op.drop_index(op.f('ix_ml_models_version'), table_name='ml_models')
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op.drop_index(op.f('ix_ml_models_name'), table_name='ml_models')
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op.drop_index(op.f('ix_ml_models_tenant_id'), table_name='ml_models')
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op.drop_table('ml_models')
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op.drop_index(op.f('ix_training_jobs_job_type'), table_name='training_jobs')
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op.drop_index(op.f('ix_training_jobs_status'), table_name='training_jobs')
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op.drop_index(op.f('ix_training_jobs_model_id'), table_name='training_jobs')
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op.drop_index(op.f('ix_training_jobs_tenant_id'), table_name='training_jobs')
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op.drop_table('training_jobs')
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