"""
Tests for LLMServer HTTP serve mode (FR-1).
"""

import threading
import time
from concurrent.futures import ThreadPoolExecutor
import json
import urllib.error
import urllib.request

import pytest

from llm_connect._diagnostics import (
    record_adapter_transformation,
    record_provider_request,
    record_provider_response,
)
from llm_connect.adapter import MockLLMAdapter, ErrorLLMAdapter
from llm_connect.exceptions import LLMAPIError, LLMConfigurationError, LLMTimeoutError
from llm_connect.models import LLMResponse, RunConfig
from llm_connect.profiles import CUSTODIAN_TRIAGE_BALANCED, ProfiledLLMAdapter, RuntimeProfile
from llm_connect.server import LLMServer


@pytest.fixture()
def server():
    """Start a server on a free port; stop after each test."""
    s = LLMServer(adapter=MockLLMAdapter(mock_response="hello world"), port=0)
    s.start()
    yield s
    s.stop()


def _get(url: str) -> tuple[int, dict]:
    try:
        with urllib.request.urlopen(url) as resp:
            return resp.status, json.loads(resp.read())
    except urllib.error.HTTPError as exc:
        return exc.code, json.loads(exc.read())


def _post(url: str, body: dict) -> tuple[int, dict]:
    payload = json.dumps(body).encode()
    req = urllib.request.Request(
        url,
        data=payload,
        headers={"Content-Type": "application/json"},
        method="POST",
    )
    try:
        with urllib.request.urlopen(req) as resp:
            return resp.status, json.loads(resp.read())
    except urllib.error.HTTPError as exc:
        return exc.code, json.loads(exc.read())


class DiagnosticLLMAdapter(MockLLMAdapter):
    def execute_prompt(self, prompt: str, config: RunConfig) -> LLMResponse:
        record_provider_request(
            url="https://provider.example/v1/chat",
            payload={"prompt": prompt, "model": config.model_name},
            headers={"Authorization": "Bearer secret-token"},
        )
        response = super().execute_prompt(prompt, config)
        response.metadata["provider"] = "diagnostic"
        response.metadata["response_id"] = "diag-response"
        record_provider_response(status=200, body={"id": "diag-response", "content": response.content})
        record_adapter_transformation(
            "diagnostic_transform",
            {"before": prompt},
            {"after": response.content},
        )
        return response


class BarrierLLMAdapter(MockLLMAdapter):
    def __init__(self):
        super().__init__(mock_response="parallel")
        self._barrier = threading.Barrier(2)

    def execute_prompt(self, prompt: str, config: RunConfig) -> LLMResponse:
        self._barrier.wait(timeout=2.0)
        return super().execute_prompt(prompt, config)


class TestHealth:
    def test_health_returns_200(self, server):
        status, body = _get(f"http://127.0.0.1:{server.port}/health")
        assert status == 200
        assert body["status"] == "ok"

    def test_unknown_get_returns_404(self, server):
        status, body = _get(f"http://127.0.0.1:{server.port}/nope")
        assert status == 404


class TestExecute:
    def test_post_execute_round_trip(self, server):
        status, body = _post(
            f"http://127.0.0.1:{server.port}/execute",
            {"prompt": "say hello"},
        )
        assert status == 200
        assert body["content"] == "hello world"
        assert body["finish_reason"] == "stop"
        assert "debug" not in body

    def test_response_includes_usage(self, server):
        status, body = _post(
            f"http://127.0.0.1:{server.port}/execute",
            {"prompt": "count tokens"},
        )
        assert status == 200
        assert "usage" in body
        assert body["usage"]["total_tokens"] > 0

    def test_missing_prompt_returns_400(self, server):
        status, body = _post(
            f"http://127.0.0.1:{server.port}/execute",
            {"config": {}},
        )
        assert status == 400
        assert "prompt" in body["error"]

    def test_invalid_json_returns_400(self, server):
        req = urllib.request.Request(
            f"http://127.0.0.1:{server.port}/execute",
            data=b"not json",
            headers={"Content-Type": "application/json"},
            method="POST",
        )
        try:
            with urllib.request.urlopen(req) as resp:
                status, body = resp.status, json.loads(resp.read())
        except urllib.error.HTTPError as exc:
            status, body = exc.code, json.loads(exc.read())
        assert status == 400

    def test_unknown_post_path_returns_404(self, server):
        status, body = _post(
            f"http://127.0.0.1:{server.port}/wrong",
            {"prompt": "hi"},
        )
        assert status == 404

    def test_adapter_error_returns_500(self):
        s = LLMServer(adapter=ErrorLLMAdapter("boom"), port=0)
        s.start()
        try:
            status, body = _post(
                f"http://127.0.0.1:{s.port}/execute",
                {"prompt": "hello"},
            )
            assert status == 500
            assert body["error"] == "internal_error"
            assert "boom" in body["message"]
        finally:
            s.stop()

    def test_config_fields_forwarded(self):
        """Config fields in request body reach the adapter via RunConfig."""
        adapter = MockLLMAdapter(mock_response="x")
        s = LLMServer(adapter=adapter, port=0)
        s.start()
        try:
            status, body = _post(
                f"http://127.0.0.1:{s.port}/execute",
                {
                    "prompt": "hi",
                    "config": {
                        "model_name": "gpt-3.5-turbo",
                        "max_tokens": 100,
                        "max_depth": 2,
                        "model_params": {"reasoning_effort": "medium"},
                    },
                },
            )
            assert status == 200
            assert adapter.last_config.model_name == "gpt-3.5-turbo"
            assert adapter.last_config.max_tokens == 100
            assert adapter.last_config.max_depth == 2
            assert adapter.last_config.model_params == {"reasoning_effort": "medium"}
        finally:
            s.stop()

    def test_config_must_be_object(self, server):
        status, body = _post(
            f"http://127.0.0.1:{server.port}/execute",
            {"prompt": "hi", "config": "not an object"},
        )
        assert status == 400
        assert "config" in body["error"]

    def test_profile_execute_resolves_model_and_metadata(self):
        created: list[MockLLMAdapter] = []

        def factory(provider: str, model: str) -> MockLLMAdapter:
            created.append(MockLLMAdapter(mock_response="profile response"))
            return created[-1]

        adapter = ProfiledLLMAdapter(
            MockLLMAdapter(mock_response="default"),
            {
                CUSTODIAN_TRIAGE_BALANCED: RuntimeProfile(
                    name=CUSTODIAN_TRIAGE_BALANCED,
                    provider="mock",
                    model="triage-model",
                    config=RunConfig(
                        model_name="triage-model",
                        temperature=0.2,
                        max_tokens=1800,
                        max_depth=2,
                        model_params={"reasoning_effort": "medium"},
                    ),
                )
            },
            adapter_factory=factory,
        )
        s = LLMServer(adapter=adapter, port=0)
        s.start()
        try:
            status, body = _post(
                f"http://127.0.0.1:{s.port}/execute",
                {
                    "prompt": "Return JSON.",
                    "config": {
                        "model_name": CUSTODIAN_TRIAGE_BALANCED,
                        "model_params": {"json_schema": {"type": "object"}},
                    },
                },
            )
        finally:
            s.stop()

        assert status == 200
        assert body["model"] == "triage-model"
        assert body["metadata"]["profile"] == CUSTODIAN_TRIAGE_BALANCED
        assert body["metadata"]["profile_provider"] == "mock"
        assert len(created) == 1
        assert created[0].last_config.model_name == "triage-model"
        assert created[0].last_config.temperature == 0.2
        assert created[0].last_config.max_tokens == 1800
        assert created[0].last_config.max_depth == 2
        assert created[0].last_config.model_params == {
            "reasoning_effort": "medium",
            "json_schema": {"type": "object"},
        }

    def test_unknown_profile_returns_400(self):
        s = LLMServer(adapter=ProfiledLLMAdapter(MockLLMAdapter(), {}), port=0)
        s.start()
        try:
            status, body = _post(
                f"http://127.0.0.1:{s.port}/execute",
                {"prompt": "hello", "config": {"model_name": "custodian-missing"}},
            )
        finally:
            s.stop()

        assert status == 400
        assert body["error"] == "unknown_profile"
        assert body["context"]["profile"] == "custodian-missing"

    def test_configuration_error_is_sanitized(self):
        class SecretConfigAdapter(MockLLMAdapter):
            def execute_prompt(self, prompt: str, config: RunConfig) -> LLMResponse:
                raise LLMConfigurationError(
                    "Bad api_key=sk-supersecret with Bearer secret-token",
                    context={"api_key": "sk-supersecret", "provider": "openai"},
                )

        s = LLMServer(adapter=SecretConfigAdapter(), port=0)
        s.start()
        try:
            status, body = _post(
                f"http://127.0.0.1:{s.port}/execute",
                {"prompt": "hello"},
            )
        finally:
            s.stop()

        assert status == 500
        assert body["error"] == "configuration_error"
        assert "sk-supersecret" not in json.dumps(body)
        assert "secret-token" not in json.dumps(body)
        assert body["context"]["api_key"] == "<redacted>"
        assert body["context"]["provider"] == "openai"

    def test_provider_errors_are_categorized_and_sanitized(self):
        class ProviderErrorAdapter(MockLLMAdapter):
            def execute_prompt(self, prompt: str, config: RunConfig) -> LLMResponse:
                raise LLMAPIError(
                    "HTTP 500 from https://provider.example/v1?key=gemini-secret",
                    status_code=500,
                )

        s = LLMServer(adapter=ProviderErrorAdapter(), port=0)
        s.start()
        try:
            status, body = _post(
                f"http://127.0.0.1:{s.port}/execute",
                {"prompt": "hello"},
            )
        finally:
            s.stop()

        assert status == 502
        assert body["error"] == "provider_api_error"
        assert body["provider_status"] == 500
        assert "gemini-secret" not in body["message"]

    def test_timeout_error_returns_504(self):
        class TimeoutAdapter(MockLLMAdapter):
            def execute_prompt(self, prompt: str, config: RunConfig) -> LLMResponse:
                raise LLMTimeoutError("Request timed out after 300s")

        s = LLMServer(adapter=TimeoutAdapter(), port=0)
        s.start()
        try:
            status, body = _post(
                f"http://127.0.0.1:{s.port}/execute",
                {"prompt": "hello"},
            )
        finally:
            s.stop()

        assert status == 504
        assert body["error"] == "provider_timeout"

    def test_debug_query_returns_diagnostics(self):
        s = LLMServer(adapter=DiagnosticLLMAdapter(mock_response="debug body"), port=0)
        s.start()
        try:
            status, body = _post(
                f"http://127.0.0.1:{s.port}/execute?debug=1",
                {"prompt": "inspect", "config": {"model_name": "diagnostic-model"}},
            )
        finally:
            s.stop()

        assert status == 200
        assert body["content"] == "debug body"
        debug = body["debug"]
        assert debug["provider_request"]["payload"] == {
            "prompt": "inspect",
            "model": "diagnostic-model",
        }
        assert debug["provider_request"]["headers_redacted"]["Authorization"] == "Bearer <redacted>"
        assert debug["provider_response"]["status"] == 200
        assert debug["adapter_transformations"][0]["step"] == "diagnostic_transform"

    def test_debug_env_returns_diagnostics(self, monkeypatch):
        monkeypatch.setenv("LLM_CONNECT_DEBUG", "1")
        s = LLMServer(adapter=DiagnosticLLMAdapter(mock_response="debug body"), port=0)
        s.start()
        try:
            status, body = _post(
                f"http://127.0.0.1:{s.port}/execute",
                {"prompt": "inspect"},
            )
        finally:
            s.stop()

        assert status == 200
        assert "debug" in body

    def test_audit_dir_records_replayable_call(self, monkeypatch, tmp_path):
        monkeypatch.setenv("LLM_CONNECT_AUDIT_DIR", str(tmp_path))
        s = LLMServer(adapter=DiagnosticLLMAdapter(mock_response="audit body"), port=0)
        s.start()
        try:
            status, body = _post(
                f"http://127.0.0.1:{s.port}/execute",
                {"prompt": "audit me", "config": {"model_name": "audit-model"}},
            )
        finally:
            s.stop()

        assert status == 200
        assert "debug" not in body
        files = list(tmp_path.glob("*.json"))
        assert len(files) == 1
        record = json.loads(files[0].read_text(encoding="utf-8"))
        assert record["prompt"] == "audit me"
        assert record["config"]["model_name"] == "audit-model"
        assert record["parsed_content"] == "audit body"
        assert record["provider_request"]["headers_redacted"]["Authorization"] == "Bearer <redacted>"
        assert record["provider_response"]["body"]["id"] == "diag-response"
        assert record["latency_seconds"] >= 0

    def test_execute_requests_run_concurrently(self):
        s = LLMServer(adapter=BarrierLLMAdapter(), port=0)
        s.start()
        try:
            start = time.monotonic()
            with ThreadPoolExecutor(max_workers=2) as pool:
                futures = [
                    pool.submit(
                        _post,
                        f"http://127.0.0.1:{s.port}/execute",
                        {"prompt": f"request {idx}"},
                    )
                    for idx in range(2)
                ]
                results = [future.result(timeout=3.0) for future in futures]
            elapsed = time.monotonic() - start
        finally:
            s.stop()

        assert [status for status, _body in results] == [200, 200]
        assert elapsed < 1.5