bvandeusen
dba41879ed
Replaces the freeform briefing-profile note with a DB-backed user_profiles table. Users can edit job/industry/expertise/response preferences/interests/ work schedule via a new Settings → Profile tab. The LLM appends nightly observations; at 14+ entries they are auto-consolidated into a learned_summary. Profile context is injected into both briefing and chat system prompts. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
54 lines
1.8 KiB
Python
54 lines
1.8 KiB
Python
"""Add user_profiles table for structured per-user preferences."""
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import sqlalchemy as sa
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from alembic import op
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from sqlalchemy.dialects.postgresql import ARRAY, JSONB
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revision = "0034"
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down_revision = "0033"
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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.create_table(
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"user_profiles",
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sa.Column("id", sa.Integer(), primary_key=True),
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sa.Column(
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"user_id",
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sa.Integer(),
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sa.ForeignKey("users.id", ondelete="CASCADE"),
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nullable=False,
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unique=True,
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),
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sa.Column("display_name", sa.Text(), nullable=True),
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sa.Column("job_title", sa.Text(), nullable=True),
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sa.Column("industry", sa.Text(), nullable=True),
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sa.Column("expertise_level", sa.Text(), nullable=True),
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sa.Column("response_style", sa.Text(), nullable=True),
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sa.Column("tone", sa.Text(), nullable=True),
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sa.Column("interests", ARRAY(sa.Text()), nullable=True),
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sa.Column("work_schedule", JSONB(), nullable=True),
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sa.Column("learned_summary", sa.Text(), nullable=True),
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sa.Column("observations_raw", JSONB(), nullable=True),
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sa.Column("observations_updated_at", sa.DateTime(timezone=True), nullable=True),
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sa.Column(
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"created_at",
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sa.DateTime(timezone=True),
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server_default=sa.func.now(),
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nullable=False,
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),
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sa.Column(
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"updated_at",
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sa.DateTime(timezone=True),
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server_default=sa.func.now(),
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nullable=False,
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),
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)
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op.create_index("ix_user_profiles_user_id", "user_profiles", ["user_id"], unique=True)
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def downgrade() -> None:
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op.drop_index("ix_user_profiles_user_id", table_name="user_profiles")
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op.drop_table("user_profiles")
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