"""PPT 异步任务生命周期回归测试。"""
import asyncio
import sys
import types
from pathlib import Path

import pytest

sys.path.insert(0, str(Path(__file__).resolve().parents[1] / "api"))

from insurance.generation import task_service
from insurance.ppt import extraction as extraction_module
from insurance.ppt import regex_extractor
from insurance.ppt.extraction import ExtractionOrchestrator, ExtractionResult
from insurance.ppt.llm_client import (
    LLMResponse,
    _parse_json_content,
    _parse_timeout_ms,
    _validate_required_fields,
)
from insurance.ppt.prompts import select_key_pages


class _Field:
    def in_(self, _values):
        return self


class _Query:
    def filter_by(self, **_kwargs):
        return self

    def filter(self, *_args):
        return self

    def first(self):
        return None


class _Session:
    def __init__(self):
        self.commits = 0

    def add(self, _value):
        return None

    def commit(self):
        self.commits += 1


class _GenerationTask:
    status = _Field()
    query = _Query()

    def __init__(self, **kwargs):
        self.id = "task-1"
        self.status = "queued"
        self.error_code = ""
        self.error_message = None
        self.finished_at = None
        for key, value in kwargs.items():
            setattr(self, key, value)

    def to_dict(self):
        return {
            "id": self.id,
            "status": self.status,
            "errorCode": self.error_code,
            "errorMessage": self.error_message,
        }


def test_dispatch_failure_finishes_task(monkeypatch):
    """消息队列不可用时，不应留下永久 queued 任务。"""
    fake_db = types.SimpleNamespace(session=_Session())
    compat_module = types.ModuleType("insurance.db.compat")
    compat_module.db = fake_db
    model_module = types.ModuleType("insurance.models.generation_task")
    model_module.GenerationTask = _GenerationTask
    monkeypatch.setitem(sys.modules, "insurance.db.compat", compat_module)
    monkeypatch.setitem(sys.modules, "insurance.models.generation_task", model_module)

    synced = []
    monkeypatch.setattr(
        task_service,
        "_dispatch_to_celery",
        lambda _task: (_ for _ in ()).throw(ConnectionError("broker unavailable")),
    )
    monkeypatch.setattr(
        task_service,
        "_sync_failed_ppt_session",
        lambda task, message: synced.append((task.id, message)),
    )

    result = task_service.create_task(
        user_id="user-1",
        artifact_type="ppt",
        operation="parse",
        workspace_id="session-1",
    )

    assert result["code"] == 9999
    assert result["data"]["status"] == "failed"
    assert result["data"]["errorCode"] == "dispatch_failed"
    assert synced and synced[0][0] == result["data"]["id"]


def test_cached_extraction_reports_completion(tmp_path, monkeypatch):
    """重复解析应命中缓存，并向调用方报告完成阶段。"""
    pdf_path = tmp_path / "plan.pdf"
    pdf_path.write_bytes(b"%PDF-1.4")
    cached = ExtractionResult(
        pdf_path=str(pdf_path),
        product_name="测试产品",
        plan_type="savings",
        status="success",
        data={"product_name": "测试产品"},
    )
    orchestrator = ExtractionOrchestrator()
    monkeypatch.setattr(orchestrator, "_load_from_cache", lambda _path: cached)
    updates = []

    result = asyncio.run(orchestrator.extract_plan(
        str(pdf_path),
        progress_callback=lambda progress, message: updates.append((progress, message)),
    ))

    assert result is cached
    assert updates == [(100, "已使用历史解析结果")]


def test_default_llm_timeout_is_bounded():
    assert _parse_timeout_ms(None) == 180_000
    assert _parse_timeout_ms("30000") == 30_000


def test_llm_json_parser_accepts_explanation_and_trailing_comma():
    content = '结果如下：\n```json\n{"product_name": "测试产品",}\n```\n请核对。'
    assert _parse_json_content(content) == {"product_name": "测试产品"}


def test_structured_schema_rejects_empty_or_incomplete_success_payload():
    schema = {
        "type": "object",
        "required": ["insured", "policy"],
        "properties": {
            "insured": {"type": "object", "required": ["age"]},
            "policy": {"type": "object", "required": ["annual_premium"]},
        },
    }

    with pytest.raises(ValueError, match="缺少必填字段"):
        _validate_required_fields({}, schema)
    with pytest.raises(ValueError, match="annual_premium"):
        _validate_required_fields({"insured": {"age": 48}, "policy": {}}, schema)
    _validate_required_fields(
        {"insured": {"age": 48}, "policy": {"annual_premium": 80060}},
        schema,
    )


def test_pdf_pages_keep_page_numbers_and_select_late_benefit_page():
    text = extraction_module._format_pdf_pages([
        "Product Name: Example IUL",
        "general terms",
        "Policy Year Account Value Cash Surrender Value Death Benefit 1 1000 900 500000",
    ])

    assert "[PAGE 1]" in text
    assert "[PAGE 3]" in text
    selected = select_key_pages(text, max_pages=2, max_chars=2000)
    assert "Product Name: Example IUL" in selected
    assert "Cash Surrender Value" in selected


def test_corrupted_pdf_text_detection_accepts_normal_text_and_rejects_font_garbage():
    normal = "保险计划书 被保人年龄 48 岁\nPolicy Year 1 Cash Value 100000\n" * 3
    corrupted = "\uffff\uffff\x81\x82ĤøùÿxĀ’@BQā" * 20

    assert extraction_module._looks_corrupted(normal) is False
    assert extraction_module._looks_corrupted(corrupted) is True
    cid_garbage = "[PAGE 1]\n" + "(cid:4)(cid:17)(cid:238)(cid:99)" * 30
    assert extraction_module._looks_corrupted(cid_garbage) is True


def test_iul_filename_hint_corrects_ocr_product_name():
    data = {
        "product_name": "SAR Feel",
        "policy": {"product_name": "SAR Feel"},
    }

    corrected = extraction_module._apply_filename_hints(
        data,
        "/tmp/MLS_SIUL3_F-48-N-CN-USD-S3m-5x_coi__SC_.pdf",
        "iul",
    )

    assert corrected["product_name"] == "Manulife SIUL 3"
    assert corrected["policy"]["product_name"] == "Manulife SIUL 3"
    assert corrected["insured"] == {"gender": "female", "age": 48, "smoker": "no"}
    assert corrected["policy"]["currency"] == "USD"
    assert corrected["policy"]["sum_insured"] == 3_000_000
    assert corrected["policy"]["premium_payment_period"] == 5


def test_iul_filename_hint_does_not_override_extracted_values():
    data = {
        "product_name": "unknown",
        "insured": {"age": 49, "gender": "female", "smoker": "no"},
        "policy": {"currency": "HKD", "sum_insured": 2_000_000, "premium_payment_period": 8},
    }

    corrected = extraction_module._apply_filename_hints(
        data,
        "/tmp/MLS_SIUL3_F-48-N-CN-USD-S3m-5x.pdf",
        "iul",
    )

    assert corrected["insured"]["age"] == 49
    assert corrected["policy"]["currency"] == "HKD"
    assert corrected["policy"]["sum_insured"] == 2_000_000
    assert corrected["policy"]["premium_payment_period"] == 8


def test_iul_ocr_label_extracts_planned_annual_premium():
    from insurance.ppt.regex_extractor import _extract_annual_premium

    text = "性别 Female    首期规划保费 US$80,060.00\n偿还至形成基金所需保费 US$80,060.00 从第1年至第5年"

    assert _extract_annual_premium(text) == 80_060


def test_savings_milestone_rows_are_warnings_not_blocking_errors():
    from insurance.ppt.validator import validate_formal_savings_plan

    plan = {
        "productName": "测试储蓄计划",
        "insured": {"age": 41, "smoker": "no"},
        "policy": {"currency": "USD", "annualPremium": 5250, "payYears": 5},
        "benefitRows": [
            {"policyYear": year, "sourcePage": 3}
            for year in [1, 2, 3, 4, 5, 10, 15, 20, 25, 30, 65, 70, 75, 80, 85, 90, 95, 100]
        ],
        "withdrawalRows": [],
        "source": {"pdfHash": "abc"},
    }

    issues = validate_formal_savings_plan(plan)

    assert not [issue for issue in issues if issue.level == "error"]
    assert any(issue.code == "BENEFIT_ROWS_MILESTONE_ONLY" for issue in issues)
    assert any(issue.code == "BENEFIT_ROWS_DISCONTINUOUS" for issue in issues)


def test_savings_rows_without_key_years_are_non_blocking_warnings():
    from insurance.ppt.validator import validate_formal_savings_plan

    plan = {
        "productName": "测试储蓄计划",
        "insured": {"age": 41, "smoker": "no"},
        "policy": {"currency": "USD", "annualPremium": 5250, "payYears": 5},
        "benefitRows": [
            {"policyYear": year, "sourcePage": 3}
            for year in [1, 2, 3, 4, 5]
        ],
        "withdrawalRows": [],
        "source": {"pdfHash": "abc"},
    }

    issues = validate_formal_savings_plan(plan)

    assert any(
        issue.code == "BENEFIT_ROWS_INCOMPLETE" and issue.level == "warn"
        for issue in issues
    )
    assert not [issue for issue in issues if issue.level == "error"]


def test_split_extraction_merges_identity_and_benefit_result(tmp_path, monkeypatch):
    pdf_path = tmp_path / "iul.pdf"
    pdf_path.write_bytes(b"%PDF-1.4")
    monkeypatch.setattr(
        extraction_module,
        "_extract_pdf_text",
        lambda _path: ("有效计划书文本" * 100, []),
    )
    monkeypatch.setattr(regex_extractor, "extract_insurance_regex", lambda _text: {})
    monkeypatch.setattr(regex_extractor, "count_benefit_rows", lambda _data: 0)

    complete = {
        "product_name": "测试 IUL",
        "product_type": "iul",
        "insured": {"age": 35},
        "policy": {"sum_insured": 500000, "index_account_rate": 0.05},
        "index_accounts": [{"name": "S&P 500"}],
        "benefit_illustration": [{"policy_year": 1, "account_value": 1000}],
    }
    async def fake_structured_output(**kwargs):
        prompt = kwargs.get("prompt", "")
        if "身份和保单字段" in prompt:
            data = {key: value for key, value in complete.items() if key != "benefit_illustration"}
        elif "利益演示表" in prompt:
            data = {"benefit_illustration": complete["benefit_illustration"]}
        elif "提领/提款演示表" in prompt:
            data = {"withdrawal_illustration": []}
        else:
            data = {}
        return data, LLMResponse(content="{}", provider="test")

    from insurance.ppt.llm_client import llm_client
    monkeypatch.setattr(llm_client, "structured_output", fake_structured_output)

    result = asyncio.run(
        ExtractionOrchestrator(use_cache=False).extract_plan(str(pdf_path), "iul")
    )

    assert result.status == "success"
    assert result.product_name == "测试 IUL"
    assert result.data["benefit_illustration"]


def test_generate_ppt_task_marks_failure_and_syncs_workspace(monkeypatch):
    """生成入口自身异常也必须结束任务，不能永久停在 running。"""
    celery_module = types.ModuleType("celery")

    def shared_task(*_args, **_kwargs):
        return lambda func: func

    celery_module.shared_task = shared_task
    monkeypatch.setitem(sys.modules, "celery", celery_module)
    sys.modules.pop("insurance.generation.celery_tasks", None)
    from insurance.generation import celery_tasks

    task = types.SimpleNamespace(id="task-1", workspace_id="session-1")
    session = types.SimpleNamespace(workflow_step="ready")

    class TaskQuery:
        @staticmethod
        def get(_task_id):
            return task

    class SessionQuery:
        @staticmethod
        def get(_session_id):
            return session

    generation_model = types.ModuleType("insurance.models.generation_task")
    generation_model.GenerationTask = types.SimpleNamespace(query=TaskQuery())
    session_model = types.ModuleType("insurance.models.ppt_session")
    session_model.PptSession = types.SimpleNamespace(query=SessionQuery())
    fake_db = types.SimpleNamespace(session=_Session())
    compat_module = types.ModuleType("insurance.db.compat")
    compat_module.db = fake_db

    monkeypatch.setitem(sys.modules, "insurance.models.generation_task", generation_model)
    monkeypatch.setitem(sys.modules, "insurance.models.ppt_session", session_model)
    monkeypatch.setitem(sys.modules, "insurance.db.compat", compat_module)
    monkeypatch.setattr(celery_tasks, "_claim_task", lambda _task_id: True)

    updates = []
    monkeypatch.setattr(
        celery_tasks,
        "_update_task_status",
        lambda _task_id, **kwargs: updates.append(kwargs),
    )
    monkeypatch.setattr(
        celery_tasks,
        "_execute_ppt_generate",
        lambda _task_id: (_ for _ in ()).throw(RuntimeError("render failed")),
    )

    synced = []
    monkeypatch.setattr(task_service, "sync_workspace_status", lambda value: synced.append(value))

    with pytest.raises(RuntimeError, match="render failed"):
        celery_tasks.generate_ppt_task(None, "task-1")

    assert session.workflow_step == "generating"
    assert any(update.get("status") == "failed" for update in updates)
    assert synced == [task]