Files
FabledScribe/src/fabledassistant/models/project.py
T
bvandeusen ebc79b34f9 feat(rag): RAG scoping and context isolation controls
- Migration 0030: add conversations.rag_project_id (NULL=orphan-only,
  -1=all notes, positive=project), projects.auto_summary and
  projects.summary_updated_at
- Three-value scope semantics thread from build_context() → semantic
  search and keyword fallback via orphan_only + effective_project_id
- Project summarization background job (generate_project_summary,
  backfill_project_summaries) called via Ollama; triggered on project
  update and note saves (debounced 1h); runs at startup
- New LLM tools: search_projects (SequenceMatcher scoring on
  title+description+auto_summary) and set_rag_scope (persists to DB,
  workspace-guarded, emits new_rag_scope in SSE done event)
- execute_tool() accepts conv_id + workspace_project_id; generation_task
  passes both and captures scope changes for SSE done enrichment
- Frontend: Conversation type gets rag_project_id; chat store adds
  ragProjectId computed + updateRagScope(); SSE done handler syncs scope
- ChatView: replace sidebar ProjectSelector with a scope chip pill above
  the input bar, animated dropdown, pulse on model-driven scope change

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-25 17:44:39 -04:00

40 lines
1.5 KiB
Python

import enum
from datetime import datetime
from sqlalchemy import DateTime, ForeignKey, Integer, Text
from sqlalchemy.orm import Mapped, mapped_column
from fabledassistant.models import Base
from fabledassistant.models.base import TimestampMixin
class ProjectStatus(str, enum.Enum):
active = "active"
completed = "completed"
archived = "archived"
class Project(Base, TimestampMixin):
__tablename__ = "projects"
id: Mapped[int] = mapped_column(primary_key=True)
user_id: Mapped[int | None] = mapped_column(Integer, ForeignKey("users.id", ondelete="CASCADE"), nullable=True)
title: Mapped[str] = mapped_column(Text, default="")
description: Mapped[str] = mapped_column(Text, default="")
goal: Mapped[str] = mapped_column(Text, default="")
status: Mapped[str] = mapped_column(Text, default="active")
color: Mapped[str | None] = mapped_column(Text, nullable=True) # hex color
auto_summary: Mapped[str | None] = mapped_column(Text, nullable=True, default=None)
summary_updated_at: Mapped[datetime | None] = mapped_column(
DateTime(timezone=True), nullable=True, default=None
)
def to_dict(self) -> dict:
return {
"id": self.id,
"title": self.title,
"description": self.description,
"goal": self.goal,
"status": self.status,
"color": self.color,
"created_at": self.created_at.isoformat(),
"updated_at": self.updated_at.isoformat(),
}