har2case二次开发 | 易学教程

preLogin请求

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login请求

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员工列表查询请求

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获取员工信息的请求

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更新员工信息的请求

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将请求导出为har文件

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全局关联设置的字典列表

# 所有需要提取数据的接口都配进来，这里只配了两个。
CORRELATION_DICT_LIST = [
                {
                    "url": "https://tes.yangzc.cn/xlc-ops-b/entryUser/getUserPage",
                    "params": [{"name": "data.0.id", "value": None, "extract": "userId"}]
                },
                {
                    "url": "https://tes.yangzc.cn/xlc-ops-b/preLogin",
                    "params": [{"name": "data.1.companyId", "value": None, "extract": "companyId"}]
                },
            ]

自定义的字典列表

# har文件里面涉及的需要提取数据的接口使用my_dict_list进行存储
my_dict_list = []

自定义数据提取函数

def _make_extract(self, teststep_dict, entry_json):
    """

    :param teststep_dict:
    :param entry_json:
    :return:
    """
    url = entry_json["request"].get("url")
    resp_content_dict = entry_json["response"].get("content")
    text = resp_content_dict.get("text")
    if not text:
        return
    resp_content_json = json.loads(text)
    for my_dict in CORRELATION_DICT_LIST:
        if my_dict["url"] == url:
            my_dict_list.append(my_dict)

            for param in my_dict["params"]:
                teststep_dict["extract"].append({param["extract"]: "content." + param["name"]})
                str_arr = param["name"].split(".")
                try:
                    param["value"] = resp_content_json[str_arr[0]][int(str_arr[1])][str_arr[2]]
                except:
                    print("出现异常111111111")
            break

请求数据函数

def _make_request_data(self, teststep_dict, entry_json):
    """ parse HAR entry request data, and make teststep request data

    Args:
        entry_json (dict):
            {
                "request": {
                    "method": "POST",
                    "postData": {
                        "mimeType": "application/x-www-form-urlencoded; charset=utf-8",
                        "params": [
                            {"name": "a", "value": 1},
                            {"name": "b", "value": "2"}
                        }
                    },
                },
                "response": {...}
            }


    Returns:
        {
            "request": {
                "method": "POST",
                "data": {"v": "1", "w": "2"}
            }
        }

    """
    method = entry_json["request"].get("method")
    if method in ["POST", "PUT", "PATCH"]:
        postData = entry_json["request"].get("postData", {})
        mimeType = postData.get("mimeType")

        # Note that text and params fields are mutually exclusive.
        if "text" in postData:
            post_data = postData.get("text")
        else:
            params = postData.get("params", [])
            post_data = utils.convert_list_to_dict(params)

        request_data_key = "data"
        if not mimeType:
            pass
        elif mimeType.startswith("application/json"):
            try:
                for my_dict in my_dict_list:
                    for param in my_dict["params"]:
                        if param["value"] and param["value"] in post_data:
                            post_data = post_data.replace(param["value"], "$" + param["extract"])
                post_data = json.loads(post_data)
                request_data_key = "json"
            except JSONDecodeError:
                pass
            except:
                print("出现异常333333333333")

        elif mimeType.startswith("application/x-www-form-urlencoded"):
            post_data = utils.convert_x_www_form_urlencoded_to_dict(post_data)
            try:
                for key in post_data:
                    for my_dict in CORRELATION_DICT_LIST:
                        for param in my_dict["params"]:
                            if param["value"] and post_data[key] == param["value"]:
                                post_data[key] = "$" + param["extract"]
            except:
                print("出现异常22222222")

        else:
            # TODO: make compatible with more mimeType
            pass

        teststep_dict["request"][request_data_key] = post_data