Blend taste profile with text-embedded mood descriptions (e.g. "chill ambient lo-fi") using pre-blended vector search against the existing HNSW index. New optional `vibe` and `alpha` params on playlist generate and recommendations endpoints. Backward compatible — no vibe = pure taste profile (alpha=1.0). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
27 lines
636 B
Python
27 lines
636 B
Python
"""Add vibe and alpha columns to playlists
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Revision ID: 002
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Revises: 001
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Create Date: 2026-02-22
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"""
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from typing import Sequence, Union
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import sqlalchemy as sa
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from alembic import op
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revision: str = "002"
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down_revision: Union[str, None] = "001"
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branch_labels: Union[str, Sequence[str], None] = None
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depends_on: Union[str, Sequence[str], None] = None
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def upgrade() -> None:
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op.add_column("playlists", sa.Column("vibe", sa.Text, nullable=True))
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op.add_column("playlists", sa.Column("alpha", sa.REAL, nullable=True))
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def downgrade() -> None:
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op.drop_column("playlists", "alpha")
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op.drop_column("playlists", "vibe")
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