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brain-of-reese/tests/unit/test_config.py
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ducoterra 022da8e2bc feat: scaffold Brain of Reese — FastAPI RAG chat over Postgres 17 + pgvector
Foundation (phase 01, verified):
- FastAPI app: /api/health, /api/suggestions, /api/chat (placeholder),
  static frontend served locally (no CDN)
- Postgres 17 + pgvector via db/Containerfile + compose.yaml
  (podman compose up -d db), Alembic initial migration (documents,
  chunks with vector(768), query_log)
- LLM client targeting https://aipi.reeseapps.com/v1 (turbo/embed);
  scripts/llm_probe.py verified models + 768-dim embeddings live
- Conditional debugpy: imported only when DEBUGPY=1 (attach on demand,
  :5678); logging config for clean single-line logs
- Frontend shell: mobile-first chat + Sources pages, tokens, a11y baselines
- Tests: 24 unit+integration (99% coverage on app/), ruff + pyright clean,
  Playwright smoke E2E (3 tests) against a deterministic mock LLM
- Planning: .agent/PLAN.md (architecture + LOCKED decisions), AGENTS.md,
  6 user stories, 7 phase files (one story / one phase / one Playwright
  suite each)
2026-08-21 13:42:21 -04:00

43 lines
1.3 KiB
Python

"""Unit tests: settings defaults & env overrides."""
from __future__ import annotations
from typing import Any
from app.config import Settings
def _settings(**kwargs: Any) -> Settings:
"""Build Settings without reading a .env file (deterministic tests)."""
kwargs.setdefault("_env_file", None)
return Settings(**kwargs) # pyright: ignore[reportCallIssue] (kwarg exists at runtime)
def test_defaults_match_locked_decisions() -> None:
s = _settings()
assert s.llm_chat_model == "turbo"
assert s.llm_embed_model == "embed"
assert s.embedding_dim == 768
assert s.llm_base_url.endswith("/v1")
assert 0 < s.relevance_threshold < 1
assert s.top_k_chunks >= 1
assert s.top_n_docs >= 1
assert len(s.suggestions) >= 3
def test_env_override(monkeypatch) -> None:
monkeypatch.setenv("BOR_RELEVANCE_THRESHOLD", "0.42")
monkeypatch.setenv("BOR_LLM_CHAT_MODEL", "juggernaut")
s = _settings()
assert s.relevance_threshold == 0.42
assert s.llm_chat_model == "juggernaut"
def test_effective_api_key_fallback(monkeypatch) -> None:
monkeypatch.delenv("AIPI_KEY", raising=False)
s = _settings()
assert s.effective_api_key == "not-needed"
monkeypatch.setenv("AIPI_KEY", "sk-from-env")
s2 = _settings()
assert s2.effective_api_key == "sk-from-env"