85 lines
3.8 KiB
Python
85 lines
3.8 KiB
Python
"""add context memory lifecycle status fields
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Revision ID: 20260520_context_memory_status_gate
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Revises: 20260519_add_pmflow_ai_context_memories
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Create Date: 2026-05-20
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"""
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from __future__ import annotations
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from alembic import op
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import sqlalchemy as sa
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revision = "20260520_context_memory_status_gate"
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down_revision = "20260519_add_pmflow_ai_context_memories"
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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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return sa.inspect(op.get_bind()).has_table(table_name)
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def _column_exists(table_name: str, column_name: str) -> bool:
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if not _table_exists(table_name):
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return False
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inspector = sa.inspect(op.get_bind())
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return any(item.get("name") == column_name for item in inspector.get_columns(table_name))
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def _index_exists(table_name: str, index_name: str) -> bool:
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if not _table_exists(table_name):
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return False
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inspector = sa.inspect(op.get_bind())
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return any(item.get("name") == index_name for item in inspector.get_indexes(table_name))
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def _create_index_once(index_name: str, table_name: str, columns: list[str]) -> None:
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if _table_exists(table_name) and not _index_exists(table_name, index_name):
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op.create_index(index_name, table_name, columns)
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def upgrade() -> None:
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if not _table_exists("pmflow_ai_context_memories"):
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return
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if not _column_exists("pmflow_ai_context_memories", "status"):
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op.add_column("pmflow_ai_context_memories", sa.Column("status", sa.String(length=32), nullable=False, server_default="active"))
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if not _column_exists("pmflow_ai_context_memories", "confidence_score"):
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op.add_column("pmflow_ai_context_memories", sa.Column("confidence_score", sa.Float(), nullable=False, server_default="0.6"))
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if not _column_exists("pmflow_ai_context_memories", "supersedes_memory_id"):
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op.add_column("pmflow_ai_context_memories", sa.Column("supersedes_memory_id", sa.BigInteger(), nullable=True))
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op.create_foreign_key(
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"fk_pmflow_ai_context_memories_supersedes",
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"pmflow_ai_context_memories",
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"pmflow_ai_context_memories",
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["supersedes_memory_id"],
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["id"],
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ondelete="SET NULL",
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)
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if not _column_exists("pmflow_ai_context_memories", "invalidation_reason"):
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op.add_column("pmflow_ai_context_memories", sa.Column("invalidation_reason", sa.Text(), nullable=True))
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if not _column_exists("pmflow_ai_context_memories", "last_validated_at"):
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op.add_column("pmflow_ai_context_memories", sa.Column("last_validated_at", sa.TIMESTAMP(), nullable=True))
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_create_index_once("ix_pmflow_ai_context_memories_status", "pmflow_ai_context_memories", ["status"])
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_create_index_once("ix_pmflow_ai_context_memories_confidence_score", "pmflow_ai_context_memories", ["confidence_score"])
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_create_index_once("ix_pmflow_ai_context_memories_supersedes_memory_id", "pmflow_ai_context_memories", ["supersedes_memory_id"])
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_create_index_once("ix_pmflow_ai_context_memories_last_validated_at", "pmflow_ai_context_memories", ["last_validated_at"])
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def downgrade() -> None:
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if not _table_exists("pmflow_ai_context_memories"):
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return
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for index_name in (
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"ix_pmflow_ai_context_memories_last_validated_at",
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"ix_pmflow_ai_context_memories_supersedes_memory_id",
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"ix_pmflow_ai_context_memories_confidence_score",
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"ix_pmflow_ai_context_memories_status",
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):
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if _index_exists("pmflow_ai_context_memories", index_name):
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op.drop_index(index_name, table_name="pmflow_ai_context_memories")
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for column_name in ("last_validated_at", "invalidation_reason", "supersedes_memory_id", "confidence_score", "status"):
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if _column_exists("pmflow_ai_context_memories", column_name):
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op.drop_column("pmflow_ai_context_memories", column_name)
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