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
53 lines
1.6 KiB
Python
53 lines
1.6 KiB
Python
"""llm settings field provenance
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Revision ID: a71e3c92fd45
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Revises: 9f4a71c60d38
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Create Date: 2026-07-20 18:07:44.902113
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"""
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from typing import Sequence, Union
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import sqlalchemy as sa
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from alembic import op
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# revision identifiers, used by Alembic.
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revision: str = "a71e3c92fd45"
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down_revision: Union[str, Sequence[str], None] = "9f4a71c60d38"
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branch_labels: Union[str, Sequence[str], None] = None
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depends_on: Union[str, Sequence[str], None] = None
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_FIELDS = ("base_url", "model", "api_key")
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def upgrade() -> None:
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"""Upgrade schema."""
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# The table changed meaning: it used to hold sparse per-field overrides
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# on top of the environment, and now holds the full configuration,
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# seeded from the environment once at first start.
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for field in _FIELDS:
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op.add_column(
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"llm_settings",
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sa.Column(
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f"{field}_from_env",
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sa.Boolean(),
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server_default=sa.false(),
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nullable=False,
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),
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)
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# The table changed meaning: it used to hold sparse per-field overrides
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# on top of the environment, and now holds the full configuration,
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# seeded from the environment at startup. Pre-existing rows are dev
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# leftovers — nothing is in production yet, so they are dropped rather
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# than translated, and `bootstrap_llm_settings()` recreates them from
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# `.env` on the next start.
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op.execute("DELETE FROM llm_settings")
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def downgrade() -> None:
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"""Downgrade schema."""
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for field in _FIELDS:
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op.drop_column("llm_settings", f"{field}_from_env")
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