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docsgpt/core/settings.py had grown to 258 fields in one 600-line class, touched by about two commits a week, with related settings scattered (GitHub ingest caps inside the embeddings block, API keys in four places, the OpenAI Responses knobs 100 lines from the other OpenAI fields). It is now a package: one module per domain (auth, llm, embeddings, retrieval, vectorstores, database, workers, ingestion, ocr, storage, connectors, server, events, agents, guardrails, scheduler, sandbox, speech), each a SettingsGroup owning its fields and validators, composed by multiple inheritance into the same flat Settings class. Every attribute name, type, default, alias and constraint is unchanged, so settings.NAME reads, .env files and test monkeypatches all keep working; the import path docsgpt.core.settings is the package. Settings.normalize_api_key is kept as a classmethod for callers that reuse it. The comment above or beside each field became its Field(description=...), so the definitions are visible to tooling; the next commit generates the docs reference from them. Pitfall recorded for future groups: pydantic collects validators by method name across the MRO, so two groups naming a validator the same would silently keep only one. Each group's validator has a unique name.
37 lines
1.3 KiB
Python
37 lines
1.3 KiB
Python
"""User-data Postgres and schema management at startup."""
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from __future__ import annotations
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from typing import Optional
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from pydantic import Field, field_validator
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from docsgpt.core.db_uri import normalize_postgres_uri
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from docsgpt.core.settings._shared import SettingsGroup
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class DatabaseSettings(SettingsGroup):
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"""The Postgres database holding users, conversations and sources, and what startup may do to it."""
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POSTGRES_URI: Optional[str] = Field(default=None, description="User-data Postgres connection URI.")
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AUTO_MIGRATE: bool = Field(
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default=True,
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description="On startup, apply pending Alembic migrations. Disable if you manage schema out-of-band.",
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)
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AUTO_CREATE_DB: bool = Field(
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default=True,
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description="On startup, create the target Postgres database if missing (needs CREATEDB privilege).",
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)
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AUTO_VECTOR_SCHEMA: bool = Field(
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default=True,
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description=(
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"On startup, create the pgvector/graph tables and verify the embedding dimension. No Alembic "
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"migration covers the vector DB (it may be a separate cluster); set False to manage it yourself."
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),
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)
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@field_validator("POSTGRES_URI", mode="before")
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@classmethod
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def _normalize_postgres_uri(cls, v):
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return normalize_postgres_uri(v)
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