ProfessorNovaandClaude Opus 5
784b76baf7
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
44 lines
1.5 KiB
Python
44 lines
1.5 KiB
Python
"""Rows to API shapes.
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A conversation has no title column: the first message is the title, derived
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here so the list and the detail can never disagree about what a conversation
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is called.
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"""
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from app.api.conversations.schemas import MessageOut, MessageSource
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from app.models import Message
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from app.modes.query import excerpt as clean_excerpt
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TITLE_LENGTH = 80
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def title(first_message: str | None) -> str | None:
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if not first_message:
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return None
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flattened = " ".join(first_message.split())
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if len(flattened) <= TITLE_LENGTH:
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return flattened
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return flattened[: TITLE_LENGTH - 1] + "…"
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def message_out(message: Message) -> MessageOut:
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"""Message + its citation snapshot from `meta` (assistant turns only).
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The excerpt is re-cleaned on the way out, not just on the way in. It is
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a presentation detail frozen at answer time, so an improvement to the
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cleaning would otherwise only reach conversations created afterwards,
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and every existing citation would keep showing raw Markdown forever.
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Cleaning is idempotent, so text stored by a newer backend passes
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through untouched.
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"""
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meta = message.meta or {}
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sources = [
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MessageSource.model_validate(item).model_copy(
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update={"excerpt": clean_excerpt(item.get("excerpt", ""))}
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)
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for item in meta.get("sources", [])
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]
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return MessageOut.model_validate(message).model_copy(
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update={"sources": sources, "fallback": meta.get("fallback")}
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)
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