"""F12 Review Pipeline + F13 Guardrail 集成测试

按 test-plan-v2.6.md §F12-F13：
- F12 T1: 验证流水线四步（P0）
- F12 T2: 评分计算（P0）
- F13 T1: Guardrail 门控（P0）
"""

import json
import pytest
from pathlib import Path
from unittest.mock import MagicMock

from src.blackboard.models import Task
from src.blackboard.operations import Blackboard
from src.daemon.review import (
    ReviewPipeline,
    ReviewResult,
    ReviewVerdict,
)

pytestmark = pytest.mark.integration


@pytest.fixture
def db_path(tmp_path):
    return tmp_path / "blackboard.db"


@pytest.fixture
def bb(db_path):
    return Blackboard(db_path)


@pytest.fixture
def pipeline():
    return ReviewPipeline()


@pytest.fixture
def pipeline_with_bb(bb):
    return ReviewPipeline(bb=bb)


@pytest.fixture
def low_risk_task():
    return Task(id="t1", title="Low Risk", status="pending",
                assigned_by="d", risk_level="low")


@pytest.fixture
def high_risk_task():
    return Task(id="t2", title="High Risk", status="pending",
                assigned_by="d", risk_level="high")


@pytest.fixture
def critical_task():
    return Task(id="t3", title="Critical", status="pending",
                assigned_by="d", risk_level="critical")


@pytest.fixture
def task_with_outputs(tmp_path):
    """有真实产出的 task"""
    out_md = tmp_path / "output.md"
    out_md.write_text("# Result\n\nThis is a valid output with enough content.")
    out_json = tmp_path / "result.json"
    out_json.write_text(json.dumps({"status": "ok", "value": 42}))
    return [
        {"path": str(out_md), "type": "markdown"},
        {"path": str(out_json), "type": "json"},
    ]


# ---------------------------------------------------------------------------
# F12 T1: 验证流水线四步
# ---------------------------------------------------------------------------

class TestReviewPipeline:
    def test_no_outputs_fails(self, pipeline, low_risk_task):
        result = pipeline.run_review(low_risk_task, outputs=None)
        assert result["verdict"] == "fail"
        assert result["score"] == 0.0

    def test_empty_outputs_fails(self, pipeline, low_risk_task):
        result = pipeline.run_review(low_risk_task, outputs=[])
        assert result["verdict"] == "fail"

    def test_existing_outputs_pass(self, pipeline, low_risk_task, task_with_outputs):
        result = pipeline.run_review(low_risk_task, outputs=task_with_outputs)
        assert result["verdict"] == "pass"

    def test_missing_file_fails(self, pipeline, low_risk_task):
        outputs = [{"path": "/nonexistent/file.md", "type": "markdown"}]
        result = pipeline.run_review(low_risk_task, outputs=outputs)
        assert result["verdict"] == "fail"

    def test_results_have_all_steps(self, pipeline, low_risk_task, task_with_outputs):
        result = pipeline.run_review(low_risk_task, outputs=task_with_outputs)
        steps = {r["step"] for r in result["results"]}
        assert "existence" in steps
        assert "format" in steps
        assert "quality" in steps

    def test_observation_recorded(self, pipeline_with_bb, low_risk_task, task_with_outputs):
        pipeline_with_bb.bb.create_task(low_risk_task)
        pipeline_with_bb.run_review(low_risk_task, outputs=task_with_outputs)
        obs = pipeline_with_bb.bb.get_observations(task_id=low_risk_task.id)
        assert any("review-pipeline" in (o.observer or "") for o in obs)


# ---------------------------------------------------------------------------
# F12 T2: 评分计算
# ---------------------------------------------------------------------------

class TestScoring:
    def test_perfect_score(self, pipeline, low_risk_task, task_with_outputs):
        result = pipeline.run_review(low_risk_task, outputs=task_with_outputs)
        assert result["score"] >= 0.9

    def test_custom_check_boosts_score(self, low_risk_task, task_with_outputs):
        def good_check(task, outputs):
            return {"score": 1.0, "suggestions": []}

        p = ReviewPipeline(custom_checks={"custom": good_check})
        result = p.run_review(low_risk_task, outputs=task_with_outputs)
        assert result["score"] >= 0.9

    def test_custom_check_lowers_score(self, low_risk_task, task_with_outputs):
        def bad_check(task, outputs):
            return {"score": 0.2, "suggestions": ["Improve X"]}

        p = ReviewPipeline(custom_checks={"custom": bad_check})
        result = p.run_review(low_risk_task, outputs=task_with_outputs)
        assert result["score"] < 1.0

    def test_custom_check_exception_handled(self, low_risk_task, task_with_outputs):
        def error_check(task, outputs):
            raise ValueError("test error")

        p = ReviewPipeline(custom_checks={"bad": error_check})
        result = p.run_review(low_risk_task, outputs=task_with_outputs)
        assert result["verdict"] in ("pass", "fail")


# ---------------------------------------------------------------------------
# F13 T1: Guardrail 门控
# ---------------------------------------------------------------------------

class TestGuardrail:
    def test_low_risk_auto(self, pipeline, low_risk_task, task_with_outputs):
        result = pipeline.run_review(low_risk_task, outputs=task_with_outputs)
        assert result["gate"] == "auto"
        assert result["needs_human"] is False

    def test_high_risk_mandatory(self, pipeline, high_risk_task, task_with_outputs):
        result = pipeline.run_review(high_risk_task, outputs=task_with_outputs)
        assert result["gate"] == "mandatory"
        assert result["needs_human"] is True

    def test_critical_dual(self, pipeline, critical_task, task_with_outputs):
        result = pipeline.run_review(critical_task, outputs=task_with_outputs)
        assert result["gate"] == "dual"
        assert result["needs_human"] is True

    def test_fail_makes_mandatory(self, pipeline, low_risk_task):
        """低风险但验证失败 → mandatory"""
        result = pipeline.run_review(low_risk_task, outputs=None)
        assert result["gate"] == "mandatory"

    def test_medium_risk_optional(self):
        task = Task(id="t", title="T", status="pending",
                    assigned_by="d", risk_level="medium")
        p = ReviewPipeline()
        outputs = [{"content": "valid output here", "type": "text"}]
        result = p.run_review(task, outputs=outputs)
        assert result["gate"] == "optional"