"""Unit tests: settings defaults & env overrides."""
from __future__ import annotations

import json
from typing import Any

import pytest
from pydantic import ValidationError
from pydantic_settings import SettingsError

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(monkeypatch: pytest.MonkeyPatch) -> None:
    # The test process sets BOR_RELEVANCE_THRESHOLD=0.30 for the mock-
    # calibrated in-process suites (see tests/conftest.py) — the *default*
    # under test is the production one.
    monkeypatch.delenv("BOR_RELEVANCE_THRESHOLD", raising=False)
    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")
    # A8 (revised): the honesty gate input is the best cosine, default 0.62.
    assert s.relevance_threshold == 0.62
    # A7 (revised): hybrid retrieval — cosine top-N ∪ FTS top-N, RRF-fused.
    assert s.hybrid_vector_candidates >= 1
    assert s.hybrid_lexical_candidates >= 1
    assert s.rrf_k >= 1
    assert s.top_n_docs >= 1
    # Owner instruction 2026-08-22: answers may run up to 32 768 tokens.
    assert s.max_output_tokens == 32_768
    # Phase 17: the model's thinking streams by default (kill-switch off).
    assert s.stream_thinking is True
    assert len(s.suggestions) >= 3
    # A9 (revised): the import scope covers the seven A9 formats.
    assert s.import_extension_set == {
        ".md", ".markdown", ".txt", ".yaml", ".yml", ".json", ".py"
    }


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_max_output_tokens_env_override(monkeypatch) -> None:
    monkeypatch.setenv("BOR_MAX_OUTPUT_TOKENS", "1234")
    s = _settings()
    assert s.max_output_tokens == 1234


def test_stream_thinking_default_true_and_env_parse(monkeypatch: pytest.MonkeyPatch) -> None:
    """Phase 17 kill-switch (``BOR_STREAM_THINKING``): on by default,
    ``0``/``false`` turn the ``thinking`` SSE frames off."""
    assert _settings().stream_thinking is True
    assert _settings(stream_thinking=False).stream_thinking is False
    monkeypatch.setenv("BOR_STREAM_THINKING", "0")
    assert _settings().stream_thinking is False
    monkeypatch.setenv("BOR_STREAM_THINKING", "false")
    assert _settings().stream_thinking is False
    monkeypatch.setenv("BOR_STREAM_THINKING", "1")
    assert _settings().stream_thinking is True


def test_import_extensions_env_override_is_a_csv_list(monkeypatch) -> None:
    monkeypatch.setenv("BOR_IMPORT_EXTENSIONS", "md,yml")
    s = _settings()
    assert s.import_extension_set == {".md", ".yml"}


def test_import_extensions_rejects_unknown_format(monkeypatch) -> None:
    """A typo in the CSV fails at startup (loudly), not by silently
    walking zero files."""
    monkeypatch.setenv("BOR_IMPORT_EXTENSIONS", "md,docx")
    with pytest.raises(ValidationError, match="docx"):
        _settings()


def test_import_extensions_rejects_empty(monkeypatch) -> None:
    monkeypatch.setenv("BOR_IMPORT_EXTENSIONS", "   ")
    with pytest.raises(ValidationError):
        _settings()


def test_suggestions_default_is_three_plus_real_questions() -> None:
    s = _settings()
    assert len(s.suggestions) >= 3
    assert all(isinstance(q, str) and q.strip() for q in s.suggestions)
    # Distinct chips only — duplicates in the onboarding row are noise.
    assert len({q.strip().lower() for q in s.suggestions}) == len(s.suggestions)


def test_suggestions_env_override_is_json_list(monkeypatch) -> None:
    override = [
        "How do I back up with Borg?",
        "How is my K3S cluster set up?",
        "How do I deploy a service?",
    ]
    monkeypatch.setenv("BOR_SUGGESTIONS", json.dumps(override))
    s = _settings()
    assert s.suggestions == override


def test_suggestions_malformed_json_fails_loudly(monkeypatch) -> None:
    monkeypatch.setenv("BOR_SUGGESTIONS", "[not valid json")
    with pytest.raises(SettingsError):
        _settings()


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"