# -*- coding: utf-8 -*-
"""
@Time : 2025/7/30 10:58
@Auth : 九月的海
@File : conftest.py.py
@IDE : PyCharm
@Motto : Catch as catch can....
"""
# conftest.py
import pytest
import logging
import time
import json
from pathlib import Path
from api_auto_framework.core.request_wrapper import RequestWrapper


# ========================== 全局日志配置 ==========================
def configure_logger(name):
    """配置全局日志记录器"""
    logger = logging.getLogger(name)
    logger.setLevel(logging.INFO)

    # 创建一个流处理器（控制台输出）
    stream_handler = logging.StreamHandler()

    # 创建格式器并添加到处理器
    formatter = logging.Formatter(
        '%(asctime)s - %(levelname)s - %(message)s',
        datefmt='%Y-%m-%d %H:%M:%S'
    )
    stream_handler.setFormatter(formatter)

    # 确保只添加一个处理器
    if not logger.hasHandlers():
        logger.addHandler(stream_handler)

    return logger


# ========================== 公共函数定义 ==========================
def log_request_details(test_data, logger):
    """记录请求详细信息到日志"""
    logger.info(f"测试名称: {test_data['test_name']}")
    logger.info(f"请求方法: {test_data['method']}")
    logger.info(f"请求URL: {test_data['url']}")

    if "headers" in test_data and test_data["headers"]:
        logger.info("请求头:")
        for k, v in test_data["headers"].items():
            logger.info(f"  {k}: {v}")

    if "cookies" in test_data and test_data["cookies"]:
        logger.info("Cookies:")
        for k, v in test_data["cookies"].items():
            logger.info(f"  {k}: {v}")

    if "body" in test_data and test_data.get("body"):
        logger.info("请求体:" + test_data.get("body"))
    else:
        logger.info("  无请求体")


def log_response_details(response, logger):
    """记录响应详细信息到日志"""
    result = RequestWrapper.formatted_response(response)

    logger.info(f"响应状态码: {result['status_code']}")
    body_data = result.get("body", {})
    logger.info(f"响应数据: {body_data}")
    return result


# ========================== Fixture定义 ==========================
@pytest.fixture(scope="session")
def api_logger(request):
    """为每个测试提供专用日志记录器"""
    logger_name = f"test_{request.node.name}"
    return configure_logger(logger_name)


@pytest.fixture(scope="session")
def log_assert(api_logger):
    """带有日志记录的断言函数"""

    def wrapper(condition, success_msg, fail_msg, actual_value=None, expected_value=None):
        if condition:
            api_logger.info(f"✔ PASS: {success_msg}")
            if actual_value is not None and expected_value is not None:
                api_logger.info(f"  实际值: {actual_value} | 期望值: {expected_value}")
        else:
            api_logger.error(f"✖ FAIL: {fail_msg}")
            if actual_value is not None and expected_value is not None:
                api_logger.error(f"  实际值: {actual_value} | 期望值: {expected_value}")

        # 触发实际断言
        assert condition, fail_msg

    return wrapper


@pytest.fixture(scope="session")
def setup_teardown(request, api_logger):
    """测试的前置和后置操作"""
    # 前置操作
    api_logger.info(f"======= 开始测试: {request.node.name} =======")
    start_time = time.time()

    yield

    # 后置操作
    end_time = time.time()
    duration = end_time - start_time
    api_logger.info(f"测试执行时长: {duration:.2f}秒")
    api_logger.info(f"======= 结束测试: {request.node.name} =======")