105 lines
4.0 KiB
Python
105 lines
4.0 KiB
Python
from __future__ import annotations
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import importlib.util
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from pathlib import Path
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import sqlalchemy as sa
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from alembic.migration import MigrationContext
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from alembic.operations import Operations
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def _load_migration_module():
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path = (
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Path(__file__).resolve().parents[1]
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/ "alembic"
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/ "versions"
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/ "20260327_add_reply_iteration_training_tables.py"
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)
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spec = importlib.util.spec_from_file_location("reply_iteration_training_tables_migration", path)
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module = importlib.util.module_from_spec(spec)
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assert spec is not None
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assert spec.loader is not None
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spec.loader.exec_module(module)
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return module
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def _create_base_tables(metadata: sa.MetaData) -> None:
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sa.Table(
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"feedback_center_records",
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metadata,
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sa.Column("id", sa.Integer(), primary_key=True, autoincrement=True),
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sa.Column("tenant_id", sa.BigInteger(), nullable=False),
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sa.Column("created_at", sa.TIMESTAMP(), nullable=False),
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sa.Column("updated_at", sa.TIMESTAMP(), nullable=False),
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)
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sa.Table(
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"qa_records",
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metadata,
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sa.Column("id", sa.Integer(), primary_key=True, autoincrement=True),
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sa.Column("tenant_id", sa.BigInteger(), nullable=False),
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sa.Column("created_at", sa.TIMESTAMP(), nullable=False),
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sa.Column("updated_at", sa.TIMESTAMP(), nullable=False),
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)
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sa.Table(
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"experiments",
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metadata,
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sa.Column("id", sa.Integer(), primary_key=True, autoincrement=True),
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sa.Column("tenant_id", sa.BigInteger(), nullable=False),
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sa.Column("created_at", sa.TIMESTAMP(), nullable=False),
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sa.Column("updated_at", sa.TIMESTAMP(), nullable=False),
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sa.Column("title", sa.String(length=255), nullable=True),
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sa.Column("hypothesis", sa.Text(), nullable=True),
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sa.Column("status", sa.String(length=50), nullable=False),
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sa.Column("target_metric", sa.String(length=50), nullable=True),
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sa.Column("current_score", sa.Float(), nullable=True),
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sa.Column("linked_context_nodes", sa.JSON(), nullable=True),
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sa.Column("project_id", sa.BigInteger(), nullable=True),
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)
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def test_reply_iteration_training_migration_adds_tables_and_experiment_columns() -> None:
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migration = _load_migration_module()
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engine = sa.create_engine("sqlite:///:memory:")
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metadata = sa.MetaData()
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_create_base_tables(metadata)
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metadata.create_all(engine)
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with engine.begin() as conn:
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context = MigrationContext.configure(conn)
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migration.op = Operations(context)
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migration.upgrade()
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inspector = sa.inspect(conn)
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tables = set(inspector.get_table_names())
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experiment_columns = {column["name"] for column in inspector.get_columns("experiments")}
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assert "quality_assets" in tables
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assert "quality_asset_pairs" in tables
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assert "judge_runs" in tables
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assert "optimizer_candidates" in tables
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assert "prompt_releases" in tables
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assert "training_datasets" in tables
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assert "training_dataset_items" in tables
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assert "training_jobs" in tables
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assert "training_job_runs" in tables
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assert "training_evaluations" in tables
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assert "trained_model_artifacts" in tables
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assert "trained_model_deployments" in tables
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assert "experiment_type" in experiment_columns
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assert "baseline_release_id" in experiment_columns
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assert "candidate_release_id" in experiment_columns
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assert "scope_json" in experiment_columns
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assert "result_summary" in experiment_columns
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assert "decision" in experiment_columns
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migration.downgrade()
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inspector = sa.inspect(conn)
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tables = set(inspector.get_table_names())
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experiment_columns = {column["name"] for column in inspector.get_columns("experiments")}
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assert "quality_assets" not in tables
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assert "training_jobs" not in tables
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assert "experiment_type" not in experiment_columns
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assert "baseline_release_id" not in experiment_columns
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