Files
FabledScribe/src/fabledassistant/models/user_profile.py
T
bvandeusenandClaude Opus 4.8 cf4962d7e8
CI & Build / Python lint (push) Successful in 2s
CI & Build / TypeScript typecheck (push) Successful in 38s
CI & Build / Python tests (push) Successful in 1m1s
CI & Build / Build & push image (push) Successful in 58s
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>
2026-06-02 19:48:37 -04:00

40 lines
1.8 KiB
Python

from sqlalchemy import ForeignKey, Integer, Text
from sqlalchemy.dialects.postgresql import ARRAY, JSONB
from sqlalchemy.orm import Mapped, mapped_column
from fabledassistant.models import Base
from fabledassistant.models.base import TimestampMixin
class UserProfile(Base, TimestampMixin):
__tablename__ = "user_profiles"
id: Mapped[int] = mapped_column(primary_key=True)
user_id: Mapped[int] = mapped_column(
Integer, ForeignKey("users.id", ondelete="CASCADE"), nullable=False, unique=True
)
display_name: Mapped[str | None] = mapped_column(Text, nullable=True)
job_title: Mapped[str | None] = mapped_column(Text, nullable=True)
industry: Mapped[str | None] = mapped_column(Text, nullable=True)
# novice / intermediate / expert — calibrates explanation depth
expertise_level: Mapped[str | None] = mapped_column(Text, nullable=True)
# concise / balanced / detailed
response_style: Mapped[str | None] = mapped_column(Text, nullable=True)
# casual / professional / technical
tone: Mapped[str | None] = mapped_column(Text, nullable=True)
interests: Mapped[list[str] | None] = mapped_column(ARRAY(Text), nullable=True)
# {days: ["Mon","Tue",...], start: "09:00", end: "17:00"}
work_schedule: Mapped[dict | None] = mapped_column(JSONB, nullable=True)
def to_dict(self) -> dict:
return {
"display_name": self.display_name or "",
"job_title": self.job_title or "",
"industry": self.industry or "",
"expertise_level": self.expertise_level or "intermediate",
"response_style": self.response_style or "balanced",
"tone": self.tone or "casual",
"interests": self.interests or [],
"work_schedule": self.work_schedule or {},
}