Доавление векторного поиска и репликации

migrations/script.py.mako

@@ -9,7 +9,7 @@ from typing import Sequence, Union
 
 from alembic import op
 import sqlalchemy as sa
-import sqlmodel
+import sqlmodel, pgvector
 ${imports if imports else ""}
 
 # revision identifiers, used by Alembic.

migrations/versions/6c616cc9d1f0_book_vector_search.py

@@ -0,0 +1,38 @@
+"""Book vector search
+
+Revision ID: 6c616cc9d1f0
+Revises: c5dfc16bdc66
+Create Date: 2026-01-27 22:37:48.077761
+
+"""
+
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+import sqlmodel, pgvector
+
+
+# revision identifiers, used by Alembic.
+revision: str = "6c616cc9d1f0"
+down_revision: Union[str, None] = "c5dfc16bdc66"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    op.execute("CREATE EXTENSION IF NOT EXISTS vector")
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.add_column(
+        "book",
+        sa.Column(
+            "embedding", pgvector.sqlalchemy.vector.VECTOR(dim=1024), nullable=True
+        ),
+    )
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_column("book", "embedding")
+    # ### end Alembic commands ###