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

"""
@author: chen wei
@Software: PyCharm
@contact: t6i888@163.com
@file: models.py
@date: 2024 2024/9/15 21:14
@desc: 声明yaml用例格式
"""
import logging
from typing import List, Any

from pydantic import BaseModel, Field, ConfigDict

logger = logging.getLogger(__name__)


class HttpAction(BaseModel):
    method: str = Field(..., description="HTTP 请求方法: get, post, etc.")
    url: str = Field(..., description="接口路径或完整 URL")
    headers: dict[str, Any] | None = Field(default=None, description="HTTP 请求头")
    params: dict[str, Any] | None = Field(default=None, description="URL 查询参数")
    data: dict[str, Any] | None = None
    json_body: Any | None = Field(default=None, alias="json")
    timeout: int = 10
    files: dict[str, Any] | None = None

    model_config = ConfigDict(extra="allow", populate_by_name=True)


class ApiActionModel(BaseModel):
    module: str = Field(..., alias="class", description="要调用的 API 类名")
    method: str = Field(..., description="类中的方法名")
    params: dict[str, Any] = Field(default_factory=dict, description="传给方法的参数")

    model_config = ConfigDict(populate_by_name=True)


class ValidateItem(BaseModel):
    check: str = Field(..., description="要检查的字段或表达式")
    assert_method: str = Field(alias="assert", default="equals")
    expect: Any = Field(..., description="期望值")
    msg: str = Field(default="Assertion", description="断言描述")

    model_config = ConfigDict(populate_by_name=True)


class RawSchema(BaseModel):
    title: str = Field(..., description="用例标题")
    epic: str | None = None
    feature: str | None = None
    story: str | None = None
    # 统一使用 action 字段承载业务逻辑 (Http 或 PO)
    action: dict[str, Any] = Field(description="请求内容或PO动作内容")
    extract: dict[str, List[Any]] | None = Field(
        default=None,
        description="变量提取表达式，格式: {变量名: [来源, 表达式, 索引]}"
    )
    validate_data: List[Any] = Field(
        default_factory=list,
        alias="validate",
        description="断言信息"
    )

    model_config = ConfigDict(extra="allow",
                              populate_by_name=True,  # 无论是在代码中用 api_class 还是在 YAML 中用 class 赋值，Pydantic 都能正确识别。
                              arbitrary_types_allowed=True  # 允许在模型中使用非 Pydantic 标准类型（如自定义类实例）
                              )  # 允许参数化等额外字段

    def is_po_mode(self) -> bool:
        """判断是否为 PO 模式"""
        return "class" in self.action or "module" in self.action


if __name__ == '__main__':
    # 模拟数据 1：标准请求模式
    raw_case_1 = {
        "title": "查询状态信息",
        "action": {
            "method": "get",
            "url": "/api/v1/info",
            "headers": {"User-Agent": "pytest-ai"},
            "json": {"User-Agent": "pytest-ai"}
        },
        "validate": [
            {"check": "status_code", "assert": "equals", "expect": 200, "msg": "响应码200"},
            {"check": "$.msg", "expect": "Success"}
        ]
    }

    # 模拟数据 2：PO 模式 (反射调用)
    raw_case_2 = {
        "title": "用户登录测试",
        "action": {
            "class": "UserAPI",
            "method": "login",
            "params": {"user": "admin", "pwd": "123"}
        },
        "extract": {
            "token": ["json", "$.data.token", 0]
        }
    }

    print("--- 开始模型校验测试 ---\n")

    try:
        # 验证模式 1
        case1 = RawSchema(**raw_case_1)
        print(f"✅ 模式1 (Request) 校验通过: {case1.title}")
        print(f"   http: {case1.action}")
        print(f"   断言规则数: {len(case1.validate_data)}\n")

        # 验证模式 2
        case2 = RawSchema(**raw_case_2)
        print(f"✅ 模式2 (PO Mode) 校验通过: {case2.title}")
        print(f"   api: {case2.action}")
        print(f"   提取规则数: {len(case2.extract)}\n")

        # 验证非法数据（如：既没有 request 也没有 api_action 的情况可以在业务层进一步校验）
        # 这里演示 Pydantic 自动类型转换
        invalid_data = {"title": "错误用例", "action": {"url": "/api"}}  # 缺少 method
        print("--- 预期失败测试 ---")
        RawSchema(**invalid_data)

    except Exception as e:
        print(f"❌ 预期内的校验失败: \n{e}")