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simplify
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@ -9,26 +9,22 @@ export class AddFaceSearchRelation1718486162779 implements MigrationInterface {
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await queryRunner.query(`SET vectors.pgvector_compatibility=on`);
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}
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await queryRunner.query(`ALTER TABLE asset_faces ADD COLUMN IF NOT EXISTS embedding vector(512)`);
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await queryRunner.query(`ALTER TABLE smart_search ADD COLUMN IF NOT EXISTS embedding vector(512) NOT NULL`);
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await queryRunner.query(`
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CREATE TABLE face_search (
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"faceId" uuid PRIMARY KEY REFERENCES asset_faces(id) ON DELETE CASCADE,
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embedding vector(512) NOT NULL )`);
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await queryRunner.query(`ALTER TABLE face_search ALTER COLUMN embedding SET STORAGE EXTERNAL`);
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await queryRunner.query(`ALTER TABLE smart_search ADD COLUMN IF NOT EXISTS embedding vector(512)`);
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await queryRunner.query(`ALTER TABLE smart_search ALTER COLUMN embedding SET STORAGE EXTERNAL`);
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const assetFacesColumns = await queryRunner.query(
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`SELECT column_name as name
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FROM information_schema.columns
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WHERE table_name = 'asset_faces'`);
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const hasFaceEmbeddings = assetFacesColumns.some((column: { name: string }) => column.name === 'embedding');
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if (hasFaceEmbeddings) {
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await queryRunner.query(`
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INSERT INTO face_search("faceId", embedding)
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SELECT id, embedding
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FROM asset_faces faces`);
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}
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await queryRunner.query(`
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INSERT INTO face_search("faceId", embedding)
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SELECT id, embedding
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FROM asset_faces faces
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WHERE faces.embedding IS NOT NULL`);
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await queryRunner.query(`ALTER TABLE asset_faces DROP COLUMN IF EXISTS embedding`);
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