张翔
228 lines
12 KiB
Python
228 lines
12 KiB
Python
"""
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数据工厂扩展测试 - TDD Red阶段
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测试数据工厂的扩展功能。
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"""
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import pytest
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import allure
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from datetime import datetime, timedelta
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@allure.epic("测试基础设施")
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@allure.feature("数据工厂扩展 - TDD Red阶段")
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class TestDataFactoryExtended:
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"""数据工厂扩展测试类 - TDD Red阶段（期望失败）"""
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@allure.title("测试批量数据生成 - TDD Red阶段")
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@allure.description("验证数据工厂可以批量生成测试数据 - 期望失败(Red)")
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@allure.severity(allure.severity_level.CRITICAL)
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@pytest.mark.smoke
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def test_batch_data_generation(self) -> None:
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"""
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TDD Red阶段: 测试批量数据生成
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预期结果:
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- 可以批量生成指定数量的测试数据
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- 生成的数据具有唯一性
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"""
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from test_data.factories.user_factory import UserDataFactory
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with allure.step("Step 1: 批量生成用户数据"):
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try:
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# 尝试批量生成10个用户
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users = UserDataFactory.batch_create(10)
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allure.attach(f"生成用户数量: {len(users)}", "步骤1", allure.attachment_type.TEXT)
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# 验证生成的用户数量
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if len(users) == 10:
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allure.attach("✅ 批量生成功能正常", "测试结果", allure.attachment_type.TEXT)
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# 验证唯一性
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usernames = [u.get("username") for u in users]
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if len(set(usernames)) == 10:
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allure.attach("✅ 数据唯一性验证通过", "测试结果", allure.attachment_type.TEXT)
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assert True, "TDD Green阶段: 批量数据生成功能正常"
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else:
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allure.attach("❌ 数据唯一性验证失败", "测试结果", allure.attachment_type.TEXT)
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assert False, "生成的数据存在重复"
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else:
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allure.attach(f"❌ 生成数量不匹配: {len(users)} != 10", "测试结果", allure.attachment_type.TEXT)
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assert False, "TDD Red阶段: 期望测试失败，批量生成功能尚未实现"
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except AttributeError as e:
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allure.attach(f"❌ batch_create方法不存在 - 符合Red阶段预期: {str(e)}", "测试结果", allure.attachment_type.TEXT)
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assert False, "TDD Red阶段: 期望测试失败，batch_create方法尚未实现"
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except Exception as e:
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allure.attach(f"❌ 批量生成失败 - 符合Red阶段预期: {str(e)}", "测试结果", allure.attachment_type.TEXT)
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assert False, "TDD Red阶段: 期望测试失败，批量生成功能尚未实现"
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@allure.title("测试数据关联生成 - TDD Red阶段")
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@allure.description("验证数据工厂可以生成关联数据 - 期望失败(Red)")
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@allure.severity(allure.severity_level.CRITICAL)
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@pytest.mark.smoke
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def test_related_data_generation(self) -> None:
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"""
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TDD Red阶段: 测试数据关联生成
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预期结果:
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- 可以生成关联的用户和角色数据
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- 关联关系正确
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"""
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from test_data.factories.user_factory import UserDataFactory
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from test_data.factories.role_factory import RoleDataFactory
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with allure.step("Step 1: 生成角色数据"):
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role = RoleDataFactory.create_user_role()
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allure.attach(f"生成角色: {role.get('name')}", "步骤1", allure.attachment_type.TEXT)
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with allure.step("Step 2: 生成关联的用户数据"):
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try:
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# 尝试生成关联的用户
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user = UserDataFactory.create_with_role(role)
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allure.attach(f"生成用户: {user.get('username')}", "步骤2", allure.attachment_type.TEXT)
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# 验证关联关系
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if user.get("role_id") == role.get("id"):
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allure.attach("✅ 数据关联功能正常", "测试结果", allure.attachment_type.TEXT)
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assert True, "TDD Green阶段: 数据关联功能正常"
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else:
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allure.attach("❌ 数据关联不正确", "测试结果", allure.attachment_type.TEXT)
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assert False, "用户角色关联不正确"
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except AttributeError as e:
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allure.attach(f"❌ create_with_role方法不存在 - 符合Red阶段预期: {str(e)}", "测试结果", allure.attachment_type.TEXT)
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assert False, "TDD Red阶段: 期望测试失败，create_with_role方法尚未实现"
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except Exception as e:
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allure.attach(f"❌ 数据关联生成失败 - 符合Red阶段预期: {str(e)}", "测试结果", allure.attachment_type.TEXT)
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assert False, "TDD Red阶段: 期望测试失败，数据关联功能尚未实现"
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@allure.title("测试数据模板功能 - TDD Red阶段")
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@allure.description("验证数据工厂可以使用模板生成数据 - 期望失败(Red)")
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@allure.severity(allure.severity_level.NORMAL)
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@pytest.mark.regression
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def test_data_template(self) -> None:
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"""
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TDD Red阶段: 测试数据模板功能
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预期结果:
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- 可以基于模板生成数据
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- 模板可以自定义字段
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"""
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from test_data.factories.user_factory import UserDataFactory
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with allure.step("Step 1: 定义数据模板"):
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template = {
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"status": "active",
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"department": "技术部",
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"phone": "13800138000"
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}
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allure.attach(f"模板: {template}", "步骤1", allure.attachment_type.TEXT)
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with allure.step("Step 2: 使用模板生成数据"):
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try:
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# 尝试使用模板生成用户
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user = UserDataFactory.create_from_template(template)
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allure.attach(f"生成用户: {user}", "步骤2", allure.attachment_type.TEXT)
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# 验证模板字段
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if (user.get("status") == template["status"] and
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user.get("department") == template["department"]):
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allure.attach("✅ 数据模板功能正常", "测试结果", allure.attachment_type.TEXT)
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assert True, "TDD Green阶段: 数据模板功能正常"
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else:
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allure.attach("❌ 模板字段未正确应用", "测试结果", allure.attachment_type.TEXT)
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assert False, "模板字段未正确应用"
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except AttributeError as e:
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allure.attach(f"❌ create_from_template方法不存在 - 符合Red阶段预期: {str(e)}", "测试结果", allure.attachment_type.TEXT)
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assert False, "TDD Red阶段: 期望测试失败，create_from_template方法尚未实现"
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except Exception as e:
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allure.attach(f"❌ 模板生成失败 - 符合Red阶段预期: {str(e)}", "测试结果", allure.attachment_type.TEXT)
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assert False, "TDD Red阶段: 期望测试失败，数据模板功能尚未实现"
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@allure.title("测试数据清理功能 - TDD Red阶段")
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@allure.description("验证数据工厂可以清理生成的数据 - 期望失败(Red)")
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@allure.severity(allure.severity_level.NORMAL)
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@pytest.mark.regression
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def test_data_cleanup(self) -> None:
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"""
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TDD Red阶段: 测试数据清理功能
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预期结果:
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- 可以清理生成的测试数据
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- 清理后数据被正确移除
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"""
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from test_data.factories.user_factory import UserDataFactory
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with allure.step("Step 1: 生成测试数据"):
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user = UserDataFactory.create_normal_user()
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user_id = user.get("id")
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allure.attach(f"生成用户ID: {user_id}", "步骤1", allure.attachment_type.TEXT)
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with allure.step("Step 2: 清理测试数据"):
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try:
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# 尝试清理数据
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UserDataFactory.cleanup(user_id)
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allure.attach(f"清理用户ID: {user_id}", "步骤2", allure.attachment_type.TEXT)
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# 验证数据已被清理
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# 这里我们假设有一个方法来检查数据是否存在
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exists = UserDataFactory.exists(user_id)
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if not exists:
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allure.attach("✅ 数据清理功能正常", "测试结果", allure.attachment_type.TEXT)
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assert True, "TDD Green阶段: 数据清理功能正常"
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else:
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allure.attach("❌ 数据未被清理", "测试结果", allure.attachment_type.TEXT)
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assert False, "数据未被正确清理"
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except AttributeError as e:
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allure.attach(f"❌ cleanup或exists方法不存在 - 符合Red阶段预期: {str(e)}", "测试结果", allure.attachment_type.TEXT)
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assert False, "TDD Red阶段: 期望测试失败，cleanup方法尚未实现"
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except Exception as e:
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allure.attach(f"❌ 数据清理失败 - 符合Red阶段预期: {str(e)}", "测试结果", allure.attachment_type.TEXT)
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assert False, "TDD Red阶段: 期望测试失败，数据清理功能尚未实现"
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@allure.title("测试数据序列化功能 - TDD Red阶段")
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@allure.description("验证数据工厂可以序列化和反序列化数据 - 期望失败(Red)")
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@allure.severity(allure.severity_level.NORMAL)
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@pytest.mark.regression
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def test_data_serialization(self) -> None:
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"""
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TDD Red阶段: 测试数据序列化功能
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预期结果:
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- 可以将数据序列化为JSON
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- 可以从JSON反序列化数据
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"""
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from test_data.factories.user_factory import UserDataFactory
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with allure.step("Step 1: 生成测试数据"):
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user = UserDataFactory.create_normal_user()
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allure.attach(f"原始用户: {user.get('username')}", "步骤1", allure.attachment_type.TEXT)
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with allure.step("Step 2: 序列化数据"):
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try:
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# 尝试序列化
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json_str = UserDataFactory.serialize(user)
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allure.attach(f"JSON字符串: {json_str[:100]}...", "步骤2", allure.attachment_type.TEXT)
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# 反序列化
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restored_user = UserDataFactory.deserialize(json_str)
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allure.attach(f"恢复用户: {restored_user.get('username')}", "步骤2", allure.attachment_type.TEXT)
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# 验证数据一致性
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if restored_user.get("username") == user.get("username"):
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allure.attach("✅ 数据序列化功能正常", "测试结果", allure.attachment_type.TEXT)
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assert True, "TDD Green阶段: 数据序列化功能正常"
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else:
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allure.attach("❌ 数据序列化不一致", "测试结果", allure.attachment_type.TEXT)
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assert False, "序列化前后数据不一致"
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except AttributeError as e:
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allure.attach(f"❌ serialize或deserialize方法不存在 - 符合Red阶段预期: {str(e)}", "测试结果", allure.attachment_type.TEXT)
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assert False, "TDD Red阶段: 期望测试失败，序列化方法尚未实现"
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except Exception as e:
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allure.attach(f"❌ 数据序列化失败 - 符合Red阶段预期: {str(e)}", "测试结果", allure.attachment_type.TEXT)
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assert False, "TDD Red阶段: 期望测试失败，数据序列化功能尚未实现"
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