Thomas Hallock
7ff69449d6
Full music recommendation pipeline: listening history capture via webhook, Last.fm candidate discovery, iTunes preview download, CLAP audio embeddings (512-dim), pgvector cosine similarity recommendations, playlist generation with known/new track interleaving, and Music Assistant playback via HA. Includes: FastAPI app, SQLAlchemy models, Alembic migrations, Docker Compose with pgvector/pg17, status dashboard, and all API endpoints. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
27 lines
635 B
Mako
27 lines
635 B
Mako
"""${message}
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Revision ID: ${up_revision}
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Revises: ${down_revision | comma,n}
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Create Date: ${create_date}
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"""
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from typing import Sequence, Union
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from alembic import op
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import sqlalchemy as sa
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${imports if imports else ""}
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# revision identifiers, used by Alembic.
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revision: str = ${repr(up_revision)}
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down_revision: Union[str, None] = ${repr(down_revision)}
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branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)}
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depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}
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def upgrade() -> None:
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${upgrades if upgrades else "pass"}
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def downgrade() -> None:
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${downgrades if downgrades else "pass"}
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