Pablan, as it stands
Self-hosted knowledge management for SMEs: a split-screen Markdown editor whose sections an LLM refines while you write, and RAG question answering over the documents that result. FastAPI + Postgres/pgvector on the back, SvelteKit on the front, everything OpenAI-compatible and self-hostable. Squashed into a single commit; the development history stays local. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CA43ZJda8Rbp2hKXNy8f6b
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from datetime import datetime
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from typing import Any
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from sqlalchemy import DateTime, Enum, Index, String, Text, func
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from sqlalchemy.dialects.postgresql import JSONB
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from sqlalchemy.orm import Mapped, mapped_column
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from app.models.base import Base, TimestampMixin, UUIDPrimaryKeyMixin
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from app.models.enums import JobStatus
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class Job(UUIDPrimaryKeyMixin, TimestampMixin, Base):
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"""Postgres-backed background queue, claimed via FOR UPDATE SKIP LOCKED."""
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__tablename__ = "jobs"
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__table_args__ = (Index("ix_jobs_status_run_after", "status", "run_after"),)
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type: Mapped[str] = mapped_column(String(100))
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payload: Mapped[dict[str, Any]] = mapped_column(JSONB, default=dict)
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status: Mapped[JobStatus] = mapped_column(
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Enum(JobStatus, native_enum=False, length=32), default=JobStatus.pending
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)
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run_after: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), server_default=func.now()
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)
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attempts: Mapped[int] = mapped_column(default=0)
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last_error: Mapped[str | None] = mapped_column(Text)
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