#!/usr/bin/env python
# coding=utf-8

"""
@author: CNWei,ChenWei
@Software: PyCharm
@contact: t6g888@163.com
@file: creator
@date: 2026/3/6 10:40
@desc: 
"""
import logging

import allure
import pytest
from pathlib import Path
from core import settings
from core.executor import WorkflowExecutor
from core.session import Session
from commons.exchange import Exchange
from commons.file_processors.yaml_processor import YamlProcessor as FileHandle
from typing import Any, Dict, List, Type, Generator, Tuple

logger = logging.getLogger(__name__)

# 初始化全局组件
session = Session(settings.base_url)
exchanger = Exchange(settings.DATA_DIR / "extract.yaml")  # 指向 data/extract.yaml
executor = WorkflowExecutor(session, exchanger)


class TestTemplateBase:
    """
    具体的测试用例容器。
    此映射类不包含任何逻辑方法，仅用于承载由 Loader 挂载的 test_* 方法。
    """
    pass


class CaseDataLoader:
    """
    职责 1: 数据加载器
    负责与底层存储（YAML文件）打交道，输出标准化的原始数据对象
    """

    @staticmethod
    def fetch_yaml_cases(cases_dir: str) -> Generator[Tuple[Path, Dict], None, None]:
        """扫描目录并迭代返回 (文件路径, 原始内容)"""
        yaml_files = Path(cases_dir).glob("**/test_*.yaml")
        for file_path in yaml_files:
            yield file_path, FileHandle(file_path)

    @staticmethod
    def parse_parametrize(raw_data: Dict, default_name: str) -> Tuple[List[str], List[List[Any]], List[str]]:
        """解析参数化结构，返回 (字段名列表, 数据值列表, ID列表)"""
        if "parametrize" in raw_data:
            fields = raw_data["parametrize"][0]
            values = raw_data["parametrize"][1:]
            ids = [f"{v[0]}" for v in values]
        else:
            fields = ["case_data"]
            values = [[raw_data]]
            ids = [raw_data.get("title", default_name)]
        return fields, values, ids


class CaseGenerator:
    """
    职责 2: 用例构造工厂
    负责将数据转化为 pytest 装饰的方法，并挂载到目标类
    """

    @classmethod
    def build_and_register(cls, target_cls: Type[TestTemplateBase], cases_dir: str):
        # 1. 通过 Loader 获取数据
        for file_path, raw_data in CaseDataLoader.fetch_yaml_cases(cases_dir):
            # 2. 解析参数化信息
            fields, values, ids = CaseDataLoader.parse_parametrize(raw_data, file_path.stem)

            # 3. 生成执行函数 (闭包)
            dynamic_test_method = cls._create_case_method(raw_data, fields, values, ids)

            # 4. 挂载
            method_name = f"test_{file_path.stem}"
            setattr(target_cls, method_name, dynamic_test_method)
            logger.debug(f"Successfully registered: {method_name}")

    @staticmethod
    def _create_case_method(case_template: Dict, fields: List[str], values: List[Any], ids: List[str]):
        """封装具体的 pytest 执行节点"""

        # 预取 Allure 层级信息
        epic = case_template.get("epic", settings.allure_epic)
        feature = case_template.get("feature", settings.allure_feature)
        story = case_template.get("story", settings.allure_story)

        @allure.epic(epic)
        @allure.feature(feature)
        @allure.story(story)
        @pytest.mark.parametrize("case_args", values, ids=ids)
        def build_actual_case(instance: TestTemplateBase, case_args: List[Any]):
            # 数据组装
            current_params = dict(zip(fields, case_args))
            case_exec_data = {**case_template, **current_params}
            case_title = current_params.get("title", "未命名用例")

            # 日志记录 (利用 instance 标注来源)
            logger.info(f"🚀 [Runner] Class: {instance.__class__.__name__} | Case: {case_title}")

            # 执行与断言
            allure.dynamic.title(case_title)
            executor.perform(case_exec_data)

        # 手动链路装饰 (Allure)
        # run_actual_case = allure.epic(epic)(run_actual_case)
        # run_actual_case = allure.feature(feature)(run_actual_case)
        # run_actual_case = allure.story(story)(run_actual_case)

        return build_actual_case


if __name__ == '__main__':
    # --- 引导执行 ---
    CaseGenerator.build_and_register(TestTemplateBase, settings.TEST_CASE_DIR)