"""CLI wiring tests for --prompt-wording (argparse choices/env default, and
plumbing into SGLangBackend + create_app). uvicorn.run is monkeypatched so
main() never actually binds a socket; SGLangBackend/create_app/NativeTokenizer
are monkeypatched to capture their constructor arguments instead of talking to
a real engine or loading real tokenizer files (transformers is an optional,
not-installed-here dependency for this default venv)."""

import sys

import pytest

import jev_adapter.__main__ as main_module
import jev_adapter.native_tokenizer as native_tokenizer_module
import jev_adapter.server as server_module
import jev_adapter.sglang as sglang_module


class Capture:
    def __init__(self):
        self.backend_kwargs = None
        self.app_kwargs = None

    def fake_backend(self, *args, **kwargs):
        self.backend_kwargs = kwargs
        return object()

    def fake_create_app(self, backend, **kwargs):
        self.app_kwargs = kwargs
        return object()


@pytest.fixture
def capture(monkeypatch):
    capture = Capture()
    monkeypatch.setattr(sglang_module, "SGLangBackend", capture.fake_backend)
    monkeypatch.setattr(server_module, "create_app", capture.fake_create_app)
    monkeypatch.setattr("uvicorn.run", lambda app, **kwargs: None)
    return capture


def run_main(monkeypatch, argv, env=None):
    monkeypatch.setattr(sys, "argv", ["jev-adapter", *argv])
    for key in (
        "JEV_PROMPT_WORDING",
        "JEV_DEFAULT_TEMPERATURE",
        "JEV_NATIVE_SYSTEM_PROMPT",
    ):
        monkeypatch.delenv(key, raising=False)
    for key, value in (env or {}).items():
        monkeypatch.setenv(key, value)
    main_module.main()


def test_prompt_wording_defaults_to_served(monkeypatch, capture):
    run_main(monkeypatch, ["--model", "decision-model"])
    assert capture.backend_kwargs["prompt_wording"] == "served"
    assert capture.backend_kwargs["native_system_prompt"] is None
    assert capture.app_kwargs["prompt_wording"] == "served"


def test_prompt_wording_flag_selects_native(monkeypatch, capture):
    run_main(monkeypatch, ["--model", "decision-model", "--prompt-wording", "native"])
    assert capture.backend_kwargs["prompt_wording"] == "native"
    assert capture.app_kwargs["prompt_wording"] == "native"


def test_prompt_wording_env_var_sets_the_default(monkeypatch, capture):
    run_main(
        monkeypatch,
        ["--model", "decision-model"],
        env={"JEV_PROMPT_WORDING": "native"},
    )
    assert capture.backend_kwargs["prompt_wording"] == "native"
    assert capture.app_kwargs["prompt_wording"] == "native"


def test_explicit_flag_overrides_env_var(monkeypatch, capture):
    run_main(
        monkeypatch,
        ["--model", "decision-model", "--prompt-wording", "served"],
        env={"JEV_PROMPT_WORDING": "native"},
    )
    assert capture.backend_kwargs["prompt_wording"] == "served"


def test_invalid_prompt_wording_choice_rejected(monkeypatch, capture):
    monkeypatch.setattr(sys, "argv", ["jev-adapter", "--model", "m", "--prompt-wording", "bogus"])
    with pytest.raises(SystemExit):
        main_module.main()


def test_native_wording_without_tokenizer_model_serves_text_only_and_warns(
    monkeypatch, capture, caplog
):
    with caplog.at_level("WARNING"):
        run_main(monkeypatch, ["--model", "decision-model", "--prompt-wording", "native"])
    assert capture.backend_kwargs["native_system_prompt"] is None
    assert any("native" in record.message for record in caplog.records)


def test_native_wording_with_tokenizer_model_extracts_the_system_prompt(
    monkeypatch, capture
):
    calls = []

    class FakeNativeTokenizer:
        @classmethod
        def from_pretrained(cls, model, revision):
            calls.append(("from_pretrained", model, revision))
            return object()

        @classmethod
        def native_default_system_prompt(cls, model, revision):
            calls.append(("native_default_system_prompt", model, revision))
            return "Default system text."

    monkeypatch.setattr(native_tokenizer_module, "NativeTokenizer", FakeNativeTokenizer)
    run_main(
        monkeypatch,
        [
            "--model",
            "decision-model",
            "--prompt-wording",
            "native",
            "--tokenizer-model",
            "mistralai/Ministral-3-8B-Instruct-2512-BF16",
            "--tokenizer-revision",
            "f" * 40,
        ],
    )
    assert calls == [
        ("from_pretrained", "mistralai/Ministral-3-8B-Instruct-2512-BF16", "f" * 40),
        (
            "native_default_system_prompt",
            "mistralai/Ministral-3-8B-Instruct-2512-BF16",
            "f" * 40,
        ),
    ]
    assert capture.backend_kwargs["native_system_prompt"] == "Default system text."


def test_served_wording_with_tokenizer_model_never_extracts_a_system_prompt(
    monkeypatch, capture
):
    calls = []

    class FakeNativeTokenizer:
        @classmethod
        def from_pretrained(cls, model, revision):
            calls.append("from_pretrained")
            return object()

        @classmethod
        def native_default_system_prompt(cls, model, revision):
            calls.append("native_default_system_prompt")
            return "should not be reached"

    monkeypatch.setattr(native_tokenizer_module, "NativeTokenizer", FakeNativeTokenizer)
    run_main(
        monkeypatch,
        [
            "--model",
            "decision-model",
            "--tokenizer-model",
            "org/model",
            "--tokenizer-revision",
            "a" * 40,
        ],
    )
    assert calls == ["from_pretrained"]
    assert capture.backend_kwargs["prompt_wording"] == "served"
    assert capture.backend_kwargs["native_system_prompt"] is None


def test_native_system_prompt_defaults_to_auto(monkeypatch, capture):
    calls = []

    class FakeNativeTokenizer:
        @classmethod
        def from_pretrained(cls, model, revision):
            return object()

        @classmethod
        def native_default_system_prompt(cls, model, revision):
            calls.append((model, revision))
            return "Default system text."

    monkeypatch.setattr(native_tokenizer_module, "NativeTokenizer", FakeNativeTokenizer)
    run_main(
        monkeypatch,
        [
            "--model",
            "decision-model",
            "--prompt-wording",
            "native",
            "--tokenizer-model",
            "org/model",
            "--tokenizer-revision",
            "a" * 40,
        ],
    )
    assert calls == [("org/model", "a" * 40)]
    assert capture.backend_kwargs["native_system_prompt"] == "Default system text."


def test_native_system_prompt_none_skips_extraction_and_warning(
    monkeypatch, capture, caplog
):
    calls = []

    class FakeNativeTokenizer:
        @classmethod
        def from_pretrained(cls, model, revision):
            return object()

        @classmethod
        def native_default_system_prompt(cls, model, revision):
            calls.append((model, revision))
            return "should not be reached"

    monkeypatch.setattr(native_tokenizer_module, "NativeTokenizer", FakeNativeTokenizer)
    with caplog.at_level("WARNING"):
        run_main(
            monkeypatch,
            [
                "--model",
                "decision-model",
                "--prompt-wording",
                "native",
                "--tokenizer-model",
                "org/model",
                "--tokenizer-revision",
                "a" * 40,
                "--native-system-prompt",
                "none",
            ],
        )
    assert calls == []
    assert capture.backend_kwargs["native_system_prompt"] is None
    assert not any("native" in record.message for record in caplog.records)


def test_native_system_prompt_none_without_tokenizer_never_warns(
    monkeypatch, capture, caplog
):
    with caplog.at_level("WARNING"):
        run_main(
            monkeypatch,
            [
                "--model",
                "decision-model",
                "--prompt-wording",
                "native",
                "--native-system-prompt",
                "none",
            ],
        )
    assert capture.backend_kwargs["native_system_prompt"] is None
    assert caplog.records == []


def test_native_system_prompt_env_var_sets_the_default(monkeypatch, capture, caplog):
    with caplog.at_level("WARNING"):
        run_main(
            monkeypatch,
            ["--model", "decision-model", "--prompt-wording", "native"],
            env={"JEV_NATIVE_SYSTEM_PROMPT": "none"},
        )
    assert capture.backend_kwargs["native_system_prompt"] is None
    assert caplog.records == []


def test_native_system_prompt_explicit_flag_overrides_env_var(monkeypatch, capture):
    calls = []

    class FakeNativeTokenizer:
        @classmethod
        def from_pretrained(cls, model, revision):
            return object()

        @classmethod
        def native_default_system_prompt(cls, model, revision):
            calls.append((model, revision))
            return "Default system text."

    monkeypatch.setattr(native_tokenizer_module, "NativeTokenizer", FakeNativeTokenizer)
    run_main(
        monkeypatch,
        [
            "--model",
            "decision-model",
            "--prompt-wording",
            "native",
            "--tokenizer-model",
            "org/model",
            "--tokenizer-revision",
            "a" * 40,
            "--native-system-prompt",
            "auto",
        ],
        env={"JEV_NATIVE_SYSTEM_PROMPT": "none"},
    )
    assert calls == [("org/model", "a" * 40)]
    assert capture.backend_kwargs["native_system_prompt"] == "Default system text."


def test_native_system_prompt_none_has_no_effect_on_served_wording(
    monkeypatch, capture
):
    calls = []

    class FakeNativeTokenizer:
        @classmethod
        def from_pretrained(cls, model, revision):
            return object()

        @classmethod
        def native_default_system_prompt(cls, model, revision):
            calls.append((model, revision))
            return "should not be reached"

    monkeypatch.setattr(native_tokenizer_module, "NativeTokenizer", FakeNativeTokenizer)
    run_main(
        monkeypatch,
        [
            "--model",
            "decision-model",
            "--tokenizer-model",
            "org/model",
            "--tokenizer-revision",
            "a" * 40,
            "--native-system-prompt",
            "auto",
        ],
    )
    assert calls == []
    assert capture.backend_kwargs["prompt_wording"] == "served"
    assert capture.backend_kwargs["native_system_prompt"] is None


def test_invalid_native_system_prompt_choice_rejected(monkeypatch, capture):
    monkeypatch.setattr(
        sys,
        "argv",
        ["jev-adapter", "--model", "m", "--native-system-prompt", "bogus"],
    )
    with pytest.raises(SystemExit):
        main_module.main()


def test_native_system_prompt_startup_log_line(monkeypatch, capture, caplog):
    with caplog.at_level("INFO"):
        run_main(
            monkeypatch,
            [
                "--model",
                "decision-model",
                "--prompt-wording",
                "native",
                "--native-system-prompt",
                "none",
            ],
        )
    info_records = [r for r in caplog.records if r.levelname == "INFO"]
    assert len(info_records) == 1
    message = info_records[0].getMessage()
    assert "prompt_wording=native" in message
    assert "native_system_prompt=none" in message