"""Regression tests for KIN-128 — Quality over speed.

Covers 4 mechanisms:
1. Analyst auto-injection on 2nd+ revision (revise_count >= 2)
2. Smoke tester: cannot_confirm → task blocked; confirmed → pipeline continues
3. Agent prompts contain mandatory proof block (backend_dev, frontend_dev, debugger)
4. Tech debt output creates child task in DB
"""

import json
import subprocess
from pathlib import Path
from unittest.mock import patch, MagicMock

import pytest

from core.db import init_db
from core import models
from agents.runner import _save_tech_debt_output, _TECH_DEBT_ROLES, run_pipeline


PROMPTS_DIR = Path(__file__).parent.parent / "agents" / "prompts"


# ---------------------------------------------------------------------------
# Fixtures
# ---------------------------------------------------------------------------

@pytest.fixture
def conn():
    """Fresh in-memory DB with a seeded project and task."""
    c = init_db(":memory:")
    models.create_project(c, "p1", "P1", "/p1", tech_stack=["python"])
    models.create_task(c, "P1-001", "p1", "Fix bug", brief={"text": "fix"})
    yield c
    c.close()


@pytest.fixture
def api_client(tmp_path):
    """FastAPI TestClient with isolated DB."""
    import web.api as api_module
    api_module.DB_PATH = tmp_path / "test.db"
    from web.api import app
    from fastapi.testclient import TestClient
    client = TestClient(app)
    client.post("/api/projects", json={"id": "p1", "name": "P1", "path": "/p1"})
    client.post("/api/tasks", json={"project_id": "p1", "title": "Fix bug"})
    return client


def _mock_success(output_data):
    m = MagicMock()
    m.stdout = json.dumps(output_data) if isinstance(output_data, dict) else output_data
    m.stderr = ""
    m.returncode = 0
    return m


# ===========================================================================
# 1. Analyst injection on 2nd+ revision
# ===========================================================================

class TestAnalystInjectionOnRevise:
    def test_first_revise_does_not_inject_analyst(self, api_client):
        """revise_count=1 → analyst НЕ добавляется в шаги пайплайна."""
        steps = [{"role": "backend_dev", "model": "sonnet"}]
        with patch("web.api._launch_pipeline_subprocess"):
            r = api_client.post(
                "/api/tasks/P1-001/revise",
                json={"comment": "please fix", "steps": steps},
            )
        assert r.status_code == 200
        data = r.json()
        assert data["revise_count"] == 1
        roles = [s["role"] for s in (data.get("pipeline_steps") or [])]
        assert roles[0] != "analyst", "analyst не должен быть первым шагом при revise_count=1"

    def test_second_revise_injects_analyst_as_first_step(self, api_client):
        """revise_count=2 → analyst автоматически первым шагом пайплайна."""
        steps = [{"role": "backend_dev", "model": "sonnet"}]
        with patch("web.api._launch_pipeline_subprocess"):
            # first revise
            api_client.post(
                "/api/tasks/P1-001/revise",
                json={"comment": "first attempt", "steps": steps},
            )
            # second revise
            r = api_client.post(
                "/api/tasks/P1-001/revise",
                json={"comment": "second attempt", "steps": steps},
            )
        assert r.status_code == 200
        data = r.json()
        assert data["revise_count"] == 2
        pipeline_steps = data.get("pipeline_steps") or []
        assert pipeline_steps, "pipeline_steps не должен быть пустым"
        assert pipeline_steps[0]["role"] == "analyst", (
            f"Первый шаг должен быть analyst, получили: {pipeline_steps[0]['role']}"
        )

    def test_second_revise_analyst_not_duplicated_if_already_first(self, api_client):
        """Если analyst уже первый шаг — не добавлять второй."""
        steps = [{"role": "analyst", "model": "sonnet"}, {"role": "backend_dev", "model": "sonnet"}]
        with patch("web.api._launch_pipeline_subprocess"):
            api_client.post("/api/tasks/P1-001/revise", json={"comment": "r1", "steps": steps})
            r = api_client.post("/api/tasks/P1-001/revise", json={"comment": "r2", "steps": steps})
        data = r.json()
        pipeline_steps = data.get("pipeline_steps") or []
        analyst_steps = [s for s in pipeline_steps if s["role"] == "analyst"]
        assert len(analyst_steps) == 1, "analyst не должен дублироваться"

    def test_third_revise_also_injects_analyst(self, api_client):
        """revise_count=3 тоже инжектирует analyst."""
        steps = [{"role": "backend_dev", "model": "sonnet"}]
        with patch("web.api._launch_pipeline_subprocess"):
            for comment in ("r1", "r2", "r3"):
                r = api_client.post(
                    "/api/tasks/P1-001/revise",
                    json={"comment": comment, "steps": steps},
                )
        data = r.json()
        assert data["revise_count"] == 3
        assert (data.get("pipeline_steps") or [{}])[0]["role"] == "analyst"

    @patch("agents.runner.subprocess.run")
    def test_pipeline_with_analyst_first_executes_analyst_as_first_agent(self, mock_run, conn):
        """Интеграционный тест: run_pipeline с analyst первым шагом запускает analyst первым.

        Проверяет РЕАЛЬНОЕ выполнение пайплайна через run_pipeline() напрямую,
        без мока _launch_pipeline_subprocess — в отличие от других тестов класса,
        которые проверяют только JSON-ответ API.

        Структура вызовов subprocess.run:
          call[0] — check_claude_auth (cmd: [claude, "-p", "ok", ...])
          call[1] — первый агент пайплайна (должен быть analyst)
        """
        analyst_output = {
            "status": "done",
            "root_problem": "Предыдущий подход не учитывал корневую причину X",
            "suggested_approach": "Переработать алгоритм с учётом Y",
            "confidence": "high",
        }
        mock_run.return_value = _mock_success(analyst_output)

        # Шаги, которые revise_task() строит при ревизии 2+ (после инжекции analyst)
        analyst_step = {
            "role": "analyst",
            "model": "sonnet",
            "brief": "Задача вернулась на ревизию №2. Проведи анализ.",
        }
        steps = [analyst_step]

        result = run_pipeline(conn, "P1-001", steps)

        # conftest._mock_check_claude_auth авто-мокирует check_claude_auth для всех тестов,
        # поэтому auth-check НЕ занимает slot в call_args_list.
        # Ожидаемый порядок вызовов subprocess.run:
        #   call[0] = analyst (первый шаг пайплайна)
        #   call[1] = learning extractor (авто-обучение после завершения пайплайна)
        assert mock_run.call_count >= 1, (
            f"Ожидалось >= 1 вызова subprocess.run (analyst), "
            f"получили {mock_run.call_count}"
        )

        # Первый вызов (индекс 0): cmd = [claude, "-p", prompt, ...]
        first_agent_cmd = list(mock_run.call_args_list[0].args[0])
        assert "-p" in first_agent_cmd, "Claude CLI cmd должна содержать -p"
        prompt_idx = first_agent_cmd.index("-p") + 1
        first_prompt = first_agent_cmd[prompt_idx]

        # agents/prompts/analyst.md начинается с "You are an Analyst for the Kin..."
        assert "Analyst" in first_prompt, (
            f"Первый выполненный агент должен быть analyst. "
            f"Промпт начинается с: {first_prompt[:200]}"
        )


# ===========================================================================
# 2. Smoke tester: cannot_confirm → blocked; confirmed → continues
# ===========================================================================

class TestSmokeTester:
    def _make_pipeline(self, smoke_status: str):
        """Build single-step pipeline with smoke_tester returning given status."""
        return [{"role": "smoke_tester", "model": "sonnet"}], {
            "status": smoke_status,
            "commands_run": [],
            "evidence": "HTTP 200" if smoke_status == "confirmed" else None,
            "reason": "нет доступа к prod" if smoke_status == "cannot_confirm" else None,
        }

    @patch("agents.runner.subprocess.run")
    def test_smoke_tester_cannot_confirm_blocks_task(self, mock_run, conn):
        """smoke_tester с cannot_confirm → задача переходит в blocked."""
        steps, smoke_output = self._make_pipeline("cannot_confirm")
        mock_run.return_value = _mock_success(smoke_output)

        result = run_pipeline(conn, "P1-001", steps)

        assert result["success"] is False
        assert result.get("blocked_by") == "smoke_tester"

        task = models.get_task(conn, "P1-001")
        assert task["status"] == "blocked"
        assert task["blocked_agent_role"] == "smoke_tester"
        assert "cannot_confirm" in (task.get("blocked_reason") or "")

    @patch("agents.runner.subprocess.run")
    def test_smoke_tester_confirmed_continues_pipeline(self, mock_run, conn):
        """smoke_tester с confirmed → пайплайн продолжается, задача не блокируется."""
        steps = [
            {"role": "smoke_tester", "model": "sonnet"},
        ]
        _, smoke_output = self._make_pipeline("confirmed")
        mock_run.return_value = _mock_success(smoke_output)

        result = run_pipeline(conn, "P1-001", steps)

        # Pipeline completes (only one step — smoke_tester — which passed)
        assert result.get("blocked_by") != "smoke_tester"
        task = models.get_task(conn, "P1-001")
        assert task["status"] != "blocked"

    @patch("agents.runner.subprocess.run")
    def test_smoke_tester_confirmed_saves_result_to_db(self, mock_run, conn):
        """smoke_tester confirmed → результат сохраняется в smoke_test_result."""
        steps = [{"role": "smoke_tester", "model": "sonnet"}]
        smoke_output = {
            "status": "confirmed",
            "commands_run": ["curl https://example.com/health"],
            "evidence": "HTTP 200 OK",
            "reason": None,
        }
        mock_run.return_value = _mock_success(smoke_output)

        run_pipeline(conn, "P1-001", steps)

        task = models.get_task(conn, "P1-001")
        result = task.get("smoke_test_result")
        assert result is not None
        assert result.get("status") == "confirmed"

    @patch("agents.runner.subprocess.run")
    def test_smoke_tester_cannot_confirm_saves_result_to_db(self, mock_run, conn):
        """smoke_tester cannot_confirm → результат также сохраняется в smoke_test_result."""
        steps = [{"role": "smoke_tester", "model": "sonnet"}]
        smoke_output = {
            "status": "cannot_confirm",
            "commands_run": [],
            "evidence": None,
            "reason": "prod недоступен",
        }
        mock_run.return_value = _mock_success(smoke_output)

        run_pipeline(conn, "P1-001", steps)

        task = models.get_task(conn, "P1-001")
        result = task.get("smoke_test_result")
        assert result is not None
        assert result.get("status") == "cannot_confirm"


# ===========================================================================
# 3. Agent prompts contain mandatory proof block
# ===========================================================================

class TestAgentPromptsProofBlock:
    """Verify that agent prompts structurally require a proof block."""

    @pytest.mark.parametrize("prompt_file,forbidden_keyword,proof_keyword", [
        ("backend_dev.md", "status: done", "proof"),
        ("frontend_dev.md", "status: done", "proof"),
        ("debugger.md", "status: fixed", "proof"),
    ])
    def test_prompt_contains_proof_field(self, prompt_file, forbidden_keyword, proof_keyword):
        """Промпт содержит поле proof в разделе Output format."""
        content = (PROMPTS_DIR / prompt_file).read_text(encoding="utf-8")
        assert proof_keyword in content, (
            f"{prompt_file}: отсутствует поле '{proof_keyword}' в Output format"
        )

    @pytest.mark.parametrize("prompt_file,rule_phrase", [
        ("backend_dev.md", "ЗАПРЕЩЕНО"),
        ("frontend_dev.md", "ЗАПРЕЩЕНО"),
        ("debugger.md", "ЗАПРЕЩЕНО"),
    ])
    def test_prompt_forbids_done_without_proof(self, prompt_file, rule_phrase):
        """Промпт явно запрещает возврат 'готово' без доказательства."""
        content = (PROMPTS_DIR / prompt_file).read_text(encoding="utf-8")
        assert rule_phrase in content, (
            f"{prompt_file}: не содержит правило ЗАПРЕЩЕНО о proof"
        )

    def test_smoke_tester_prompt_exists(self):
        """Промпт smoke_tester.md существует и содержит cannot_confirm."""
        path = PROMPTS_DIR / "smoke_tester.md"
        assert path.exists(), "smoke_tester.md не найден"
        content = path.read_text(encoding="utf-8")
        assert "cannot_confirm" in content

    def test_analyst_prompt_exists(self):
        """Промпт analyst.md существует и содержит root_problem."""
        path = PROMPTS_DIR / "analyst.md"
        assert path.exists(), "analyst.md не найден"
        content = path.read_text(encoding="utf-8")
        assert "root_problem" in content

    def test_backend_dev_proof_fields_complete(self):
        """backend_dev.md содержит все три поля внутри proof."""
        content = (PROMPTS_DIR / "backend_dev.md").read_text(encoding="utf-8")
        for field in ("what_was_done", "how_verified", "verification_result"):
            assert field in content, f"backend_dev.md: отсутствует поле proof.{field}"

    def test_debugger_proof_fields_complete(self):
        """debugger.md содержит все три поля внутри proof."""
        content = (PROMPTS_DIR / "debugger.md").read_text(encoding="utf-8")
        for field in ("what_was_fixed", "how_verified", "verification_result"):
            assert field in content, f"debugger.md: отсутствует поле proof.{field}"


# ===========================================================================
# 4. Tech debt output creates child task in DB
# ===========================================================================

class TestTechDebtTaskCreation:
    def test_tech_debt_roles_contains_expected_roles(self):
        """_TECH_DEBT_ROLES содержит все dev-роли + sysadmin."""
        assert "backend_dev" in _TECH_DEBT_ROLES
        assert "frontend_dev" in _TECH_DEBT_ROLES
        assert "debugger" in _TECH_DEBT_ROLES
        assert "sysadmin" in _TECH_DEBT_ROLES

    def test_save_tech_debt_creates_child_task(self, conn):
        """tech_debt с description → создаётся дочерняя задача [TECH DEBT]."""
        result = {
            "success": True,
            "raw_output": json.dumps({
                "status": "done",
                "tech_debt": {
                    "description": "Хардкод timeout в 30s нужно вынести в конфиг",
                    "reason_temporary": "MVP без конфига",
                    "proper_fix": "Добавить config.yaml с полем agent_timeout",
                    "category": "FIX",
                },
            }),
        }
        out = _save_tech_debt_output(conn, "p1", "P1-001", result)

        assert out["created"] is True
        assert out["task_id"] is not None

        child = models.get_task(conn, out["task_id"])
        assert child is not None
        assert "[TECH DEBT]" in child["title"]
        assert "Хардкод timeout" in child["title"]
        assert child["parent_task_id"] == "P1-001"
        assert child["category"] == "FIX"

    def test_save_tech_debt_without_description_creates_nothing(self, conn):
        """tech_debt без description → задача НЕ создаётся."""
        result = {
            "success": True,
            "raw_output": json.dumps({
                "status": "done",
                "tech_debt": {"description": "", "reason_temporary": ""},
            }),
        }
        out = _save_tech_debt_output(conn, "p1", "P1-001", result)
        assert out["created"] is False

    def test_save_tech_debt_without_field_creates_nothing(self, conn):
        """Вывод без поля tech_debt → задача НЕ создаётся."""
        result = {
            "success": True,
            "raw_output": json.dumps({"status": "done", "changes": []}),
        }
        out = _save_tech_debt_output(conn, "p1", "P1-001", result)
        assert out["created"] is False

    def test_save_tech_debt_idempotent(self, conn):
        """Повторный вызов с тем же описанием — дубликат НЕ создаётся."""
        raw = json.dumps({
            "status": "done",
            "tech_debt": {
                "description": "Duplicate tech debt check",
                "reason_temporary": "quick fix",
                "proper_fix": "refactor",
            },
        })
        result = {"success": True, "raw_output": raw}

        out1 = _save_tech_debt_output(conn, "p1", "P1-001", result)
        out2 = _save_tech_debt_output(conn, "p1", "P1-001", result)

        assert out1["created"] is True
        assert out2["created"] is False
        assert out1["task_id"] == out2["task_id"]

    def test_save_tech_debt_invalid_category_defaults_to_fix(self, conn):
        """Неизвестная category в tech_debt → дефолтная категория FIX."""
        result = {
            "success": True,
            "raw_output": json.dumps({
                "status": "done",
                "tech_debt": {
                    "description": "Временный костыль",
                    "category": "UNKNOWN_GARBAGE",
                },
            }),
        }
        out = _save_tech_debt_output(conn, "p1", "P1-001", result)
        assert out["created"] is True
        child = models.get_task(conn, out["task_id"])
        assert child["category"] == "FIX"

    @patch("agents.runner.subprocess.run")
    def test_pipeline_creates_tech_debt_task_for_backend_dev(self, mock_run, conn):
        """run_pipeline для backend_dev с tech_debt → создаётся дочерняя задача."""
        agent_output = {
            "status": "done",
            "changes": [],
            "tech_debt": {
                "description": "Pipeline integration: хардкод URL",
                "reason_temporary": "нет конфига",
                "proper_fix": "вынести в env",
                "category": "FIX",
            },
            "proof": {
                "what_was_done": "done",
                "how_verified": "tests",
                "verification_result": "ok",
            },
        }
        mock_run.return_value = _mock_success(agent_output)

        steps = [{"role": "backend_dev", "model": "sonnet"}]
        run_pipeline(conn, "P1-001", steps)

        # Check if a [TECH DEBT] child task was created
        children = models.get_children(conn, "P1-001")
        tech_debt_tasks = [t for t in children if "[TECH DEBT]" in (t.get("title") or "")]
        assert len(tech_debt_tasks) >= 1, "Дочерняя tech debt задача должна быть создана"


# ===========================================================================
# 5. DB schema: smoke_test_result column exists
# ===========================================================================

def test_schema_tasks_has_smoke_test_result_column(conn):
    """KIN-128: таблица tasks содержит колонку smoke_test_result."""
    cols = {r[1] for r in conn.execute("PRAGMA table_info(tasks)").fetchall()}
    assert "smoke_test_result" in cols, "KIN-128: smoke_test_result должна быть в таблице tasks"


def test_update_task_smoke_test_result_roundtrip(conn):
    """smoke_test_result сохраняется и читается как dict."""
    data = {"status": "confirmed", "evidence": "HTTP 200"}
    models.update_task(conn, "P1-001", smoke_test_result=data)
    task = models.get_task(conn, "P1-001")
    assert task["smoke_test_result"] == data