"""Tests for config/settings.py and config/nim.py"""

import pytest
from pydantic import ValidationError

from config.nim import NimSettings


class TestSettings:
    """Test Settings configuration."""

    def test_settings_loads(self):
        """Ensure Settings can be instantiated."""
        from config.settings import Settings

        settings = Settings()
        assert settings is not None

    def test_default_values(self, monkeypatch):
        """Test default values are set and have correct types."""
        from config.settings import Settings

        monkeypatch.delenv("MODEL", raising=False)
        monkeypatch.delenv("HTTP_READ_TIMEOUT", raising=False)
        monkeypatch.setitem(Settings.model_config, "env_file", ())
        settings = Settings()
        assert settings.model == "nvidia_nim/stepfun-ai/step-3.5-flash"
        assert isinstance(settings.provider_rate_limit, int)
        assert isinstance(settings.provider_rate_window, int)
        assert isinstance(settings.nim.temperature, float)
        assert isinstance(settings.fast_prefix_detection, bool)
        assert isinstance(settings.enable_thinking, bool)
        assert settings.http_read_timeout == 120.0

    def test_get_settings_cached(self):
        """Test get_settings returns cached instance."""
        from config.settings import get_settings

        s1 = get_settings()
        s2 = get_settings()
        assert s1 is s2  # Same object (cached)

    def test_empty_string_to_none_for_optional_int(self):
        """Test that empty string converts to None for optional int fields."""
        from config.settings import Settings

        # Settings should handle NVIDIA_NIM_SEED="" gracefully
        settings = Settings()
        assert settings.nim.seed is None or isinstance(settings.nim.seed, int)

    def test_model_setting(self):
        """Test model setting exists and is a string."""
        from config.settings import Settings

        settings = Settings()
        assert isinstance(settings.model, str)
        assert len(settings.model) > 0

    def test_base_url_constant(self):
        """Test NVIDIA_NIM_BASE_URL is a constant."""
        from providers.nvidia_nim import NVIDIA_NIM_BASE_URL

        assert NVIDIA_NIM_BASE_URL == "https://integrate.api.nvidia.com/v1"

    def test_lm_studio_base_url_from_env(self, monkeypatch):
        """LM_STUDIO_BASE_URL env var is loaded into settings."""
        from config.settings import Settings

        monkeypatch.setenv("LM_STUDIO_BASE_URL", "http://custom:5678/v1")
        settings = Settings()
        assert settings.lm_studio_base_url == "http://custom:5678/v1"

    def test_provider_rate_limit_from_env(self, monkeypatch):
        """PROVIDER_RATE_LIMIT env var is loaded into settings."""
        from config.settings import Settings

        monkeypatch.setenv("PROVIDER_RATE_LIMIT", "20")
        settings = Settings()
        assert settings.provider_rate_limit == 20

    def test_provider_rate_window_from_env(self, monkeypatch):
        """PROVIDER_RATE_WINDOW env var is loaded into settings."""
        from config.settings import Settings

        monkeypatch.setenv("PROVIDER_RATE_WINDOW", "30")
        settings = Settings()
        assert settings.provider_rate_window == 30

    def test_http_read_timeout_from_env(self, monkeypatch):
        """HTTP_READ_TIMEOUT env var is loaded into settings."""
        from config.settings import Settings

        monkeypatch.setenv("HTTP_READ_TIMEOUT", "600")
        settings = Settings()
        assert settings.http_read_timeout == 600.0

    def test_http_write_timeout_from_env(self, monkeypatch):
        """HTTP_WRITE_TIMEOUT env var is loaded into settings."""
        from config.settings import Settings

        monkeypatch.setenv("HTTP_WRITE_TIMEOUT", "20")
        settings = Settings()
        assert settings.http_write_timeout == 20.0

    def test_http_connect_timeout_from_env(self, monkeypatch):
        """HTTP_CONNECT_TIMEOUT env var is loaded into settings."""
        from config.settings import Settings

        monkeypatch.setenv("HTTP_CONNECT_TIMEOUT", "5")
        settings = Settings()
        assert settings.http_connect_timeout == 5.0

    def test_enable_thinking_from_env(self, monkeypatch):
        """ENABLE_THINKING env var is loaded into settings."""
        from config.settings import Settings

        monkeypatch.setenv("ENABLE_THINKING", "false")
        settings = Settings()
        assert settings.enable_thinking is False

    def test_anthropic_auth_token_from_env_without_dotenv_key(self, monkeypatch):
        """ANTHROPIC_AUTH_TOKEN env var is loaded when dotenv does not define it."""
        from config.settings import Settings

        monkeypatch.setenv("ANTHROPIC_AUTH_TOKEN", "process-token")
        monkeypatch.setitem(Settings.model_config, "env_file", ())
        settings = Settings()
        assert settings.anthropic_auth_token == "process-token"
        assert settings.uses_process_anthropic_auth_token() is True

    def test_empty_dotenv_anthropic_auth_token_overrides_process_env(
        self, monkeypatch, tmp_path
    ):
        """An explicit empty .env token disables auth despite stale shell tokens."""
        from config.settings import Settings

        env_file = tmp_path / ".env"
        env_file.write_text("ANTHROPIC_AUTH_TOKEN=\n", encoding="utf-8")
        monkeypatch.setenv("ANTHROPIC_AUTH_TOKEN", "stale-client-token")
        monkeypatch.setitem(Settings.model_config, "env_file", (env_file,))

        settings = Settings()
        assert settings.anthropic_auth_token == ""
        assert settings.uses_process_anthropic_auth_token() is False

    def test_dotenv_anthropic_auth_token_overrides_process_env(
        self, monkeypatch, tmp_path
    ):
        """A configured .env token is the server token even with a stale shell token."""
        from config.settings import Settings

        env_file = tmp_path / ".env"
        env_file.write_text(
            'ANTHROPIC_AUTH_TOKEN="server-token"\n',
            encoding="utf-8",
        )
        monkeypatch.setenv("ANTHROPIC_AUTH_TOKEN", "stale-client-token")
        monkeypatch.setitem(Settings.model_config, "env_file", (env_file,))

        settings = Settings()
        assert settings.anthropic_auth_token == "server-token"
        assert settings.uses_process_anthropic_auth_token() is False

    def test_removed_nim_enable_thinking_raises(self, monkeypatch):
        """NIM_ENABLE_THINKING now fails fast with a migration message."""
        from config.settings import Settings

        monkeypatch.setenv("NIM_ENABLE_THINKING", "false")
        with pytest.raises(ValidationError, match="Rename it to ENABLE_THINKING"):
            Settings()


# --- NimSettings Validation Tests ---
class TestNimSettingsValidBounds:
    """Test that valid values within bounds are accepted."""

    @pytest.mark.parametrize("top_k", [-1, 0, 1, 100])
    def test_top_k_valid(self, top_k):
        """top_k >= -1 should be accepted."""
        s = NimSettings(top_k=top_k)
        assert s.top_k == top_k

    @pytest.mark.parametrize("temp", [0.0, 0.5, 1.0, 2.0])
    def test_temperature_valid(self, temp):
        s = NimSettings(temperature=temp)
        assert s.temperature == temp

    @pytest.mark.parametrize("top_p", [0.0, 0.5, 1.0])
    def test_top_p_valid(self, top_p):
        s = NimSettings(top_p=top_p)
        assert s.top_p == top_p

    def test_max_tokens_valid(self):
        s = NimSettings(max_tokens=1)
        assert s.max_tokens == 1

    def test_min_tokens_valid(self):
        s = NimSettings(min_tokens=0)
        assert s.min_tokens == 0

    @pytest.mark.parametrize("penalty", [-2.0, 0.0, 2.0])
    def test_presence_penalty_valid(self, penalty):
        s = NimSettings(presence_penalty=penalty)
        assert s.presence_penalty == penalty

    @pytest.mark.parametrize("penalty", [-2.0, 0.0, 2.0])
    def test_frequency_penalty_valid(self, penalty):
        s = NimSettings(frequency_penalty=penalty)
        assert s.frequency_penalty == penalty

    @pytest.mark.parametrize("min_p", [0.0, 0.5, 1.0])
    def test_min_p_valid(self, min_p):
        s = NimSettings(min_p=min_p)
        assert s.min_p == min_p


class TestNimSettingsInvalidBounds:
    """Test that out-of-range values raise ValidationError."""

    @pytest.mark.parametrize("top_k", [-2, -100])
    def test_top_k_below_lower_bound(self, top_k):
        with pytest.raises((ValidationError, ValueError)):
            NimSettings(top_k=top_k)

    def test_temperature_negative(self):
        with pytest.raises(ValidationError):
            NimSettings(temperature=-0.1)

    @pytest.mark.parametrize("top_p", [-0.1, 1.1])
    def test_top_p_out_of_range(self, top_p):
        with pytest.raises(ValidationError):
            NimSettings(top_p=top_p)

    @pytest.mark.parametrize("penalty", [-2.1, 2.1])
    def test_presence_penalty_out_of_range(self, penalty):
        with pytest.raises(ValidationError):
            NimSettings(presence_penalty=penalty)

    @pytest.mark.parametrize("penalty", [-2.1, 2.1])
    def test_frequency_penalty_out_of_range(self, penalty):
        with pytest.raises(ValidationError):
            NimSettings(frequency_penalty=penalty)

    @pytest.mark.parametrize("min_p", [-0.1, 1.1])
    def test_min_p_out_of_range(self, min_p):
        with pytest.raises(ValidationError):
            NimSettings(min_p=min_p)

    @pytest.mark.parametrize("max_tokens", [0, -1])
    def test_max_tokens_too_low(self, max_tokens):
        with pytest.raises(ValidationError):
            NimSettings(max_tokens=max_tokens)

    def test_min_tokens_negative(self):
        with pytest.raises(ValidationError):
            NimSettings(min_tokens=-1)


class TestNimSettingsValidators:
    """Test custom field validators in NimSettings."""

    @pytest.mark.parametrize(
        "seed_val,expected",
        [("", None), (None, None), ("42", 42), (42, 42)],
        ids=["empty_str", "none", "str_42", "int_42"],
    )
    def test_parse_optional_int(self, seed_val, expected):
        s = NimSettings(seed=seed_val)
        assert s.seed == expected

    @pytest.mark.parametrize(
        "stop_val,expected",
        [("", None), ("STOP", "STOP"), (None, None)],
        ids=["empty_str", "valid", "none"],
    )
    def test_parse_optional_str_stop(self, stop_val, expected):
        s = NimSettings(stop=stop_val)
        assert s.stop == expected

    @pytest.mark.parametrize(
        "chat_template_val,expected",
        [("", None), ("template", "template")],
        ids=["empty_str", "valid"],
    )
    def test_parse_optional_str_chat_template(self, chat_template_val, expected):
        s = NimSettings(chat_template=chat_template_val)
        assert s.chat_template == expected

    def test_extra_forbid_rejects_unknown_field(self):
        """NimSettings with extra='forbid' rejects unknown fields."""
        from typing import Any, cast

        with pytest.raises(ValidationError):
            NimSettings(**cast(Any, {"unknown_field": "value"}))

    def test_enable_thinking_field_removed(self):
        """NimSettings no longer accepts the removed thinking toggle."""
        from typing import Any, cast

        with pytest.raises(ValidationError):
            NimSettings(**cast(Any, {"enable_thinking": True}))


class TestSettingsOptionalStr:
    """Test Settings parse_optional_str validator."""

    def test_empty_telegram_token_to_none(self, monkeypatch):
        from config.settings import Settings

        monkeypatch.setenv("TELEGRAM_BOT_TOKEN", "")
        s = Settings()
        assert s.telegram_bot_token is None

    def test_valid_telegram_token_preserved(self, monkeypatch):
        from config.settings import Settings

        monkeypatch.setenv("TELEGRAM_BOT_TOKEN", "abc123")
        s = Settings()
        assert s.telegram_bot_token == "abc123"

    def test_empty_allowed_user_id_to_none(self, monkeypatch):
        from config.settings import Settings

        monkeypatch.setenv("ALLOWED_TELEGRAM_USER_ID", "")
        s = Settings()
        assert s.allowed_telegram_user_id is None

    def test_discord_bot_token_from_env(self, monkeypatch):
        from config.settings import Settings

        monkeypatch.setenv("DISCORD_BOT_TOKEN", "discord_token_123")
        s = Settings()
        assert s.discord_bot_token == "discord_token_123"

    def test_empty_discord_bot_token_to_none(self, monkeypatch):
        from config.settings import Settings

        monkeypatch.setenv("DISCORD_BOT_TOKEN", "")
        s = Settings()
        assert s.discord_bot_token is None

    def test_allowed_discord_channels_from_env(self, monkeypatch):
        from config.settings import Settings

        monkeypatch.setenv("ALLOWED_DISCORD_CHANNELS", "111,222,333")
        s = Settings()
        assert s.allowed_discord_channels == "111,222,333"

    def test_messaging_platform_from_env(self, monkeypatch):
        from config.settings import Settings

        monkeypatch.setenv("MESSAGING_PLATFORM", "discord")
        s = Settings()
        assert s.messaging_platform == "discord"

    def test_whisper_device_auto_rejected(self, monkeypatch):
        """WHISPER_DEVICE=auto raises ValidationError (auto removed)."""
        from config.settings import Settings

        monkeypatch.setenv("WHISPER_DEVICE", "auto")
        with pytest.raises(ValidationError, match="whisper_device"):
            Settings()

    @pytest.mark.parametrize("device", ["cpu", "cuda"])
    def test_whisper_device_valid(self, monkeypatch, device):
        """Valid whisper_device values are accepted."""
        from config.settings import Settings

        monkeypatch.setenv("WHISPER_DEVICE", device)
        s = Settings()
        assert s.whisper_device == device


class TestPerModelMapping:
    """Test per-model fields and resolve_model()."""

    def test_model_fields_default_none(self):
        """Per-model fields default to None."""
        from config.settings import Settings

        s = Settings()
        assert s.model_opus is None
        assert s.model_sonnet is None
        assert s.model_haiku is None

    def test_model_opus_from_env(self, monkeypatch):
        """MODEL_OPUS env var is loaded."""
        from config.settings import Settings

        monkeypatch.setenv("MODEL_OPUS", "open_router/deepseek/deepseek-r1")
        s = Settings()
        assert s.model_opus == "open_router/deepseek/deepseek-r1"

    @pytest.mark.parametrize(
        "env_vars,expected_model,expected_haiku",
        [
            (
                {"MODEL": "nvidia_nim/meta/llama3-70b-instruct"},
                "nvidia_nim/meta/llama3-70b-instruct",
                None,
            ),
            (
                {
                    "MODEL": "open_router/anthropic/claude-3-opus",
                    "MODEL_HAIKU": "open_router/anthropic/claude-3-haiku",
                },
                "open_router/anthropic/claude-3-opus",
                "open_router/anthropic/claude-3-haiku",
            ),
            ({"MODEL": "deepseek/deepseek-chat"}, "deepseek/deepseek-chat", None),
            ({"MODEL": "lmstudio/qwen2.5-7b"}, "lmstudio/qwen2.5-7b", None),
            ({"MODEL": "llamacpp/local-model"}, "llamacpp/local-model", None),
        ],
    )
    def test_settings_models_from_env(
        self, env_vars, expected_model, expected_haiku, monkeypatch
    ):
        """Test environment variables override model defaults."""
        from config.settings import Settings

        for k, v in env_vars.items():
            monkeypatch.setenv(k, v)

        s = Settings()
        assert s.model == expected_model
        assert s.model_haiku == expected_haiku

    def test_model_sonnet_from_env(self, monkeypatch):
        """MODEL_SONNET env var is loaded."""
        from config.settings import Settings

        monkeypatch.setenv("MODEL_SONNET", "nvidia_nim/meta/llama-3.3-70b-instruct")
        s = Settings()
        assert s.model_sonnet == "nvidia_nim/meta/llama-3.3-70b-instruct"

    def test_model_haiku_from_env(self, monkeypatch):
        """MODEL_HAIKU env var is loaded."""
        from config.settings import Settings

        monkeypatch.setenv("MODEL_HAIKU", "lmstudio/qwen2.5-7b")
        s = Settings()
        assert s.model_haiku == "lmstudio/qwen2.5-7b"

    def test_model_opus_invalid_provider_raises(self, monkeypatch):
        """MODEL_OPUS with invalid provider prefix raises ValidationError."""
        from config.settings import Settings

        monkeypatch.setenv("MODEL_OPUS", "bad_provider/some-model")
        with pytest.raises(ValidationError, match="Invalid provider"):
            Settings()

    def test_model_opus_no_slash_raises(self, monkeypatch):
        """MODEL_OPUS without provider prefix raises ValidationError."""
        from config.settings import Settings

        monkeypatch.setenv("MODEL_OPUS", "noprefix")
        with pytest.raises(ValidationError, match="provider type"):
            Settings()

    def test_model_haiku_invalid_provider_raises(self, monkeypatch):
        """MODEL_HAIKU with invalid provider prefix raises ValidationError."""
        from config.settings import Settings

        monkeypatch.setenv("MODEL_HAIKU", "invalid/model")
        with pytest.raises(ValidationError, match="Invalid provider"):
            Settings()

    def test_resolve_model_opus_override(self):
        """resolve_model returns model_opus for opus model names."""
        from config.settings import Settings

        s = Settings()
        s.model_opus = "open_router/deepseek/deepseek-r1"
        assert (
            s.resolve_model("claude-opus-4-20250514")
            == "open_router/deepseek/deepseek-r1"
        )
        assert s.resolve_model("claude-3-opus") == "open_router/deepseek/deepseek-r1"
        assert (
            s.resolve_model("claude-3-opus-20240229")
            == "open_router/deepseek/deepseek-r1"
        )

    def test_resolve_model_sonnet_override(self):
        """resolve_model returns model_sonnet for sonnet model names."""
        from config.settings import Settings

        s = Settings()
        s.model_sonnet = "nvidia_nim/meta/llama-3.3-70b-instruct"
        assert (
            s.resolve_model("claude-sonnet-4-20250514")
            == "nvidia_nim/meta/llama-3.3-70b-instruct"
        )
        assert (
            s.resolve_model("claude-3-5-sonnet-20241022")
            == "nvidia_nim/meta/llama-3.3-70b-instruct"
        )

    def test_resolve_model_haiku_override(self):
        """resolve_model returns model_haiku for haiku model names."""
        from config.settings import Settings

        s = Settings()
        s.model_haiku = "lmstudio/qwen2.5-7b"
        assert s.resolve_model("claude-3-haiku-20240307") == "lmstudio/qwen2.5-7b"
        assert s.resolve_model("claude-3-5-haiku-20241022") == "lmstudio/qwen2.5-7b"
        assert s.resolve_model("claude-haiku-4-20250514") == "lmstudio/qwen2.5-7b"

    def test_resolve_model_fallback_when_override_not_set(self):
        """resolve_model falls back to MODEL when model override is None."""
        from config.settings import Settings

        s = Settings()
        s.model = "nvidia_nim/fallback-model"
        # No model overrides set
        assert s.resolve_model("claude-opus-4-20250514") == "nvidia_nim/fallback-model"
        assert (
            s.resolve_model("claude-sonnet-4-20250514") == "nvidia_nim/fallback-model"
        )
        assert s.resolve_model("claude-3-haiku-20240307") == "nvidia_nim/fallback-model"

    def test_resolve_model_unknown_model_falls_back(self):
        """resolve_model falls back to MODEL for unrecognized model names."""
        from config.settings import Settings

        s = Settings()
        s.model = "nvidia_nim/fallback-model"
        s.model_opus = "open_router/opus-model"
        assert s.resolve_model("claude-2.1") == "nvidia_nim/fallback-model"
        assert s.resolve_model("some-unknown-model") == "nvidia_nim/fallback-model"

    def test_resolve_model_case_insensitive(self):
        """Model classification is case-insensitive."""
        from config.settings import Settings

        s = Settings()
        s.model_opus = "open_router/opus-model"
        assert s.resolve_model("Claude-OPUS-4") == "open_router/opus-model"

    def test_parse_provider_type(self):
        """parse_provider_type extracts provider from model string."""
        from config.settings import Settings

        assert Settings.parse_provider_type("nvidia_nim/meta/llama") == "nvidia_nim"
        assert Settings.parse_provider_type("open_router/deepseek/r1") == "open_router"
        assert Settings.parse_provider_type("deepseek/deepseek-chat") == "deepseek"
        assert Settings.parse_provider_type("lmstudio/qwen") == "lmstudio"
        assert Settings.parse_provider_type("llamacpp/model") == "llamacpp"

    def test_parse_model_name(self):
        """parse_model_name extracts model name from model string."""
        from config.settings import Settings

        assert Settings.parse_model_name("nvidia_nim/meta/llama") == "meta/llama"
        assert Settings.parse_model_name("deepseek/deepseek-chat") == "deepseek-chat"
        assert Settings.parse_model_name("lmstudio/qwen") == "qwen"
        assert Settings.parse_model_name("llamacpp/model") == "model"