"""clear note_embeddings for fastembed swap

Revision ID: 0052
Revises: 0051
Create Date: 2026-05-26

Embeddings stored in `note_embeddings.embedding` (JSONB) were generated by
Ollama's nomic-embed-text model (768-dim). The fastembed swap uses
BAAI/bge-small-en-v1.5 (384-dim). Mixed-dim vectors would break the
Python-side cosine similarity (length mismatch), so we wipe the table.

The startup hook `services.embeddings.backfill_note_embeddings` regenerates
everything at the new dimension on next boot. There's no column-type change
because the column is JSONB — dimensionless on the storage side.

Downgrade is the same operation: a fresh deployment of the prior code would
backfill with the old model. No data is lost that the next boot won't restore.
"""
from alembic import op


revision = "0052"
down_revision = "0051"
branch_labels = None
depends_on = None


def upgrade() -> None:
    op.execute("DELETE FROM note_embeddings")


def downgrade() -> None:
    op.execute("DELETE FROM note_embeddings")