chore(profile): drop dead curator columns from UserProfile
Drift-audit Group 7: learned_summary, observations_raw, and observations_updated_at were populated by the curator/LLM-profile machinery removed in the Phase-8 pivot. Nothing has written them since and the profile API returned permanently-empty fields. Remove them from the model + to_dict and drop the columns (migration 0062). Verified zero frontend/backend/test consumers. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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"""drop dead UserProfile curator columns
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Revision ID: 0062
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Revises: 0061
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Create Date: 2026-06-02
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learned_summary, observations_raw, and observations_updated_at were written by
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the curator/LLM-profile machinery removed in the Phase-8 MCP pivot. Nothing has
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populated them since; the profile API returned permanently-empty fields. Drop
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the columns.
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"""
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from alembic import op
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import sqlalchemy as sa
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from sqlalchemy.dialects import postgresql
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revision = "0062"
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down_revision = "0061"
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branch_labels = None
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depends_on = None
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def upgrade() -> None:
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op.drop_column("user_profiles", "learned_summary")
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op.drop_column("user_profiles", "observations_raw")
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op.drop_column("user_profiles", "observations_updated_at")
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def downgrade() -> None:
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op.add_column(
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"user_profiles",
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sa.Column("observations_updated_at", sa.DateTime(timezone=True), nullable=True),
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)
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op.add_column(
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"user_profiles",
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sa.Column("observations_raw", postgresql.JSONB(), nullable=True),
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)
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op.add_column(
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"user_profiles",
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sa.Column("learned_summary", sa.Text(), nullable=True),
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)
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@@ -1,6 +1,4 @@
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from datetime import datetime
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from sqlalchemy import DateTime, ForeignKey, Integer, Text
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from sqlalchemy import ForeignKey, Integer, Text
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from sqlalchemy.dialects.postgresql import ARRAY, JSONB
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from sqlalchemy.orm import Mapped, mapped_column
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@@ -27,13 +25,6 @@ class UserProfile(Base, TimestampMixin):
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interests: Mapped[list[str] | None] = mapped_column(ARRAY(Text), nullable=True)
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# {days: ["Mon","Tue",...], start: "09:00", end: "17:00"}
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work_schedule: Mapped[dict | None] = mapped_column(JSONB, nullable=True)
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# LLM-consolidated summary of learned preferences
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learned_summary: Mapped[str | None] = mapped_column(Text, nullable=True)
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# [{date: "YYYY-MM-DD", bullets: "..."}, ...]
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observations_raw: Mapped[list | None] = mapped_column(JSONB, nullable=True)
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observations_updated_at: Mapped[datetime | None] = mapped_column(
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DateTime(timezone=True), nullable=True
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)
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def to_dict(self) -> dict:
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return {
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@@ -45,11 +36,4 @@ class UserProfile(Base, TimestampMixin):
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"tone": self.tone or "casual",
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"interests": self.interests or [],
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"work_schedule": self.work_schedule or {},
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"learned_summary": self.learned_summary or "",
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"observations_count": len(self.observations_raw or []),
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"observations_updated_at": (
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self.observations_updated_at.isoformat()
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if self.observations_updated_at
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else None
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),
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}
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