class TestAdd(unittest.TestCase):
def setUp(self):
self.mysql = MysqlUtil()
self.sql = "SELECT * FROM future.loan WHERE Id != '' ORDER BY Id DESC LIMIT 1;"
self.max_loan_id_old = self.mysql.fetch_one(self.sql)['Id']
print("测试加标前的最大标的ID是：", self.max_loan_id_old)
@data(*cases)
def test_add(self, case):
data = DoRegex.replace(case.data) # 通过正则取excel的数据，Context覆盖excel的数据
data = json.loads(data) # 从excel中取到的data是一个字符串，loads()把字符串序列化为字典
# --请求request拿到cookies
# 先判断有没有cookies
if hasattr(Context, 'cookies'):
cookies = getattr(Context, 'cookies') # 获取放到上下文里面的cookies
else:
cookies = None
# 通过封装的Request类来完成接口的调用
resp = Request(method=case.method,
url=case.url,
data=data,
cookies=cookies) # request请求时,data一定要是字典类型
# 判断有没有cookies（有说明是登录接口）
if resp.get_cookies(): # 判断返回里面是否有cookies
setattr(Context, 'cookies', resp.get_cookies()) # 放入到上下文中
print("status_code：", resp.get_status_code()) # 打印响应码
resp_dict = resp.get_json() # 获取请求响应，字典
self.assertEqual(case.expected,
int(resp_dict['code'])) # 判断返回的code是否与期望结果一致
# 完成数据库校验
# 再次查询数据库，获取最新的最大标的loan各项信息
sql = "SELECT * FROM future.loan WHERE MemberID = {} ORDER BY Id DESC LIMIT 1;".format(
Context.loan_member_id)
loan = self.mysql.fetch_one(sql) # loan是字典类型
if resp_dict['msg'] == "加标成功": # 新增标的成功的数据校验，判断数据库loan表有这条新增的数据
if loan is not None: # 正常加标成功，不应该返回None
max_loan_id_new = self.max_loan_id_old + 1
expected = max_loan_id_new # 期望结果：测试加标成功前的最大标的ID加上1
# 判断数据库里面的标的详情是否与测试数据一致
# 多个字段一致才assert通过
self.assertEqual(expected, loan['Id']) # 实际结果：数据库查询的最大标的ID
self.assertEqual(int(data['memberId']),
loan['MemberID']) # MemberID是借款人的ID，管理员登录进行操作
self.assertEqual(float(data['amount']), loan['Amount'])
self.assertEqual(data['title'], loan['Title'])
self.assertEqual(float(data['loanRate']), loan['LoanRate'])
self.assertEqual(data['loanTerm'], loan['LoanTerm'])
self.assertEqual(data['loanDateType'], loan['LoanDateType'])
self.assertEqual(data['repaymemtWay'], loan['RepaymemtWay'])
self.assertEqual(data['biddingDays'], loan['BiddingDays'])
self.assertEqual(1, loan['Status'])
print("测试加标后的最大标的ID是：", max_loan_id_new)
else: # 返回None，表示数据库里面没有插入数据，管理员加标测试失败
raise AssertionError
elif resp_dict['code'] != '10001':
expected = self.max_loan_id_old # 期望结果：测试加标成功前的最大标的ID
self.assertEqual(expected, loan['Id'])
def tearDown(self):
self.mysql.close()
class TestWithdraw(unittest.TestCase):
def setUp(self):
self.sql = 'SELECT * FROM future.member WHERE MobilePhone = {0}'.format(
Context.invest_user)
self.mysql = MysqlUtil()
# 取现前账户余额记录
self.leaveamount_old = self.mysql.fetch_one(
self.sql)['LeaveAmount'] # 获取账户余额---测试取现前的账户余额
print("取现前的账户余额是：{}元".format(self.leaveamount_old))
@data(*cases)
def test_withdraw(self, case):
data = DoRegex.replace(case.data)
data = json.loads(data)
# 先判断有没有cookies
if hasattr(Context, 'cookies'):
cookies = getattr(Context, 'cookies') # 获取放到上下文里面的cookies
else:
cookies = None
# 通过封装的Request类来完成接口的调用
resp = Request(method=case.method,
url=case.url,
data=data,
cookies=cookies) # request请求时,data一定要是字典类型
# 判断有没有cookies（有说明是登录接口）
# --请求request拿到cookies --把cookies放到Context里
if resp.get_cookies(): # 判断返回里面是否有cookies
setattr(Context, 'cookies', resp.get_cookies()) # 放入到上下文中
print("status_code：", resp.get_status_code()) # 打印响应码
resp_dict = resp.get_json() # 获取请求响应，字典
self.assertEqual(case.expected,
int(resp_dict['code'])) # 判断返回的code是否与期望结果一致
# 完成数据库校验，判断取现成功之后账户余额增加正确，取现失败余额不变
# 通过数据库查可以看到取现前的余额，取现后的余额，excel中的case.data可以查到取现金额amount
# 数据库校验：期望的取现后的余额=取现前的余额-取现金额，实际的取现后的余额=查询数据库得到取现后的余额
leaveamount_new = self.mysql.fetch_one(
self.sql)['LeaveAmount'] # 再次获取账户余额---测试取现后的余额
actual = float(leaveamount_new) # 实际的账户余额 = 查询数据库得到账户的余额
print("测试{}后的余额是：{}元".format(case.title, actual))
if resp_dict['code'] == '10001' and resp_dict[
'msg'] == "取现成功": # 取现请求后的响应码是10001并且取现成功
amount = float(data['amount'])
print('取现金额是：{}元'.format(amount))
expected = float(
self.leaveamount_old) - amount # 取现成功，期望的账户余额=取现前的余额-取现金额
self.assertEqual(expected, actual) # 判断期望结果与实际结果是否一致
elif resp_dict['code'] != '10001':
expected = float(self.leaveamount_old) # 取现失败，期望结果：账户余额不变，是取现前的余额
self.assertEqual(expected, actual) # 判断期望结果与实际结果是否一致
def tearDown(self):
self.mysql.close()
def setUpClass(cls):
global mysql
mysql = MysqlUtil()
sql = "SELECT MobilePhone from future.member where MobilePhone!='' ORDER BY MobilePhone DESC LIMIT 1"
global max_phone
max_phone = int(mysql.fetch_one(sql)['MobilePhone'])
class TestGetFinanceLogList(unittest.TestCase):
def setUp(self):
self.mysql = MysqlUtil()
@data(*cases)
def test_getFinanceLogList(self, case):
data = DoRegex.replace(case.data) # 参数化处理
data = json.loads(data) # 将测试数据由字符串序列化成字典
if hasattr(Context, 'cookies'): # 判断是否有cookies
cookies = getattr(Context, 'cookies') # 获取放到上下文里面的cookies
else:
cookies = None
# Request封装类请求
resp = Request(method=case.method, url=case.url, data=data, cookies=cookies)
resp_dict = resp.get_json() # 获取请求响应，字典
# 判断返回里面是否有cookies(有说明是登录接口)
if resp.get_cookies(): # 判断返回里面是否有cookies
setattr(Context, 'cookies', resp.get_cookies()) # 放入到上下文中
print("status_code：", resp.get_status_code()) # 打印响应码
resp_dict = resp.get_json() # 获取请求响应，字典
self.assertEqual(case.expected, int(resp_dict['code'])) # 判断返回的code是否与期望结果一致
# 数据库校验
if resp_dict['msg'] == "获取用户流水记录成功！":
# 从数据库查financelog表中某个用户的全部流水记录
sql_select_financelog = "SELECT * FROM future.financelog WHERE PayMemberID = {} ORDER BY Id DESC;".format(Context.invest_member_id)
invest_list = self.mysql.fetch_all(sql_select_financelog)
# 根据用户ID获取financelog表中某用户的流水记录的最大行数
sql_select_row = "SELECT COUNT(Id) FROM future.financelog WHERE PayMemberID = {};".format(Context.invest_member_id)
max_row = self.mysql.fetch_one(sql_select_row)['COUNT(Id)']
if invest_list is not None:
for i in range(0, max_row): # 每一行数据校验
MyLog.info("正在校验第{}行数据".format(i))
# 判断请求返回的数据详情与数据库里面的详情是否一致
# 多个字段一致才assert通过
self.assertEqual(int(resp_dict['data'][i]['id']), invest_list[i]['Id'])
self.assertEqual(int(resp_dict['data'][i]['payMemberId']), invest_list[i]['PayMemberId'])
self.assertEqual(int(resp_dict['data'][i]['incomeMemberId']), invest_list[i]['IncomeMemberId'])
self.assertEqual(float(resp_dict['data'][i]['amount']), invest_list[i]['Amount'])
# 注意：钱是空值时！！！ --- 还需再改！
# self.assertEqual(float(resp_dict['data'][i]['incomeMemberMoney']), invest_list[i]['IncomeMemberMoney'])
# self.assertEqual(float(resp_dict['data'][i]['payMemberMoney']), float(invest_list[i]['PayMemberMoney']))
self.assertEqual(int(resp_dict['data'][i]['status']), invest_list[i]['Status'])
self.assertEqual(resp_dict['data'][i]['createTime'][0:19], invest_list[i]['CreateTime'].strftime("%Y-%m-%d %H:%M:%S"))
MyLog.info("校验结果：PASS")
def tearDown(self):
self.mysql.close()
class TestList(unittest.TestCase):
def setUp(self):
self.mysql = MysqlUtil()
@data(*cases)
def test_list(self, case):
data = DoRegex.replace(case.data)
data = json.loads(data)
# 先判断有没有cookies
if hasattr(Context, 'cookies'):
cookies = getattr(Context, 'cookies')
else:
cookies = None
# 通过封装的Request类来完成接口的调用
resp = Request(method=case.method,
url=case.url,
data=data,
cookies=cookies)
# 判断返回里面是否有cookies(有说明是登录接口)
if resp.get_cookies():
setattr(Context, 'cookies', resp.get_cookies()) # cookies放入到上下文中
print("status_code：", resp.get_status_code()) # 打印响应码
resp_dict = resp.get_json() # 获取请求响应，字典
self.assertEqual(case.expected,
int(resp_dict['code'])) # 判断返回的code是否与期望结果一致
# 完成数据库校验
if resp_dict['msg'] == "获取用户列表成功":
# 从数据库查到member表全部用户的信息
# member_list是一个列表，列表是按照用户ID顺序排序。其中的元素是一个个字典。
# resp_dict['data'] 也是一个列表，列表是按照用户ID顺序排序。其中的元素是一个个字典。
sql_select_member = "SELECT * FROM future.member WHERE Id != '' ORDER BY Id ASC;"
member_list = self.mysql.fetch_all(sql_select_member)
# 获取member表最大行数
sql_select_row = "SELECT COUNT(Id) FROM future.member;"
max_row = self.mysql.fetch_one(sql_select_row)['COUNT(Id)']
if member_list is not None: # 如果从数据库里面查询出来不是空
for i in range(0, max_row): # 每一行数据校验
# 判断请求返回的数据详情与数据库里面的详情是否与一致
# 多个字段一致才assert通过
self.assertEqual(resp_dict['data'][i]['id'],
member_list[i]['Id'])
self.assertEqual(resp_dict['data'][i]['mobilephone'],
member_list[i]['MobilePhone'])
self.assertEqual(resp_dict['data'][i]['pwd'],
member_list[i]['Pwd'])
self.assertEqual(resp_dict['data'][i]['regname'],
member_list[i]['RegName'])
self.assertEqual(
float(resp_dict['data'][i]['leaveamount']),
float(member_list[i]['LeaveAmount']))
self.assertEqual(
resp_dict['data'][i]['regtime'][0:19], member_list[i]
['RegTime'].strftime("%Y-%m-%d %H:%M:%S"))
self.assertEqual(int(resp_dict['data'][i]['type']),
member_list[i]['Type'])
def tearDown(self):
self.mysql.close()
class TestGetLoanList(unittest.TestCase):
def setUp(self):
self.mysql = MysqlUtil()
@data(*cases)
def test_getLoanList(self, case):
data = DoRegex.replace(case.data) # 参数化处理
data = json.loads(data) # 字符串序列化为字典
# 先判断有没有cookies
if hasattr(Context, 'cookies'):
cookies = getattr(Context, 'cookies')
else:
cookies = None
# 通过封装的Request类来完成接口的调用
resp = Request(method=case.method,
url=case.url,
data=data,
cookies=cookies)
# 判断返回里面是否有cookies(有说明是登录接口)
if resp.get_cookies():
setattr(Context, 'cookies', resp.get_cookies()) # cookies放入到上下文中
print("status_code：", resp.get_status_code()) # 打印响应码
resp_dict = resp.get_json() # 获取请求响应，字典
self.assertEqual(case.expected,
int(resp_dict['code'])) # 判断返回的code是否与期望结果一致
# 完成数据库校验
if resp_dict['msg'] == "获取标列表成功":
# 从数据库查到loan表全部标的信息
# loan_list是一个列表，列表是按照标的ID顺序排序。其中的元素是一个个字典。
# resp_dict['data'] 也是一个列表，列表是按照标的ID顺序排序。其中的元素是一个个字典。
sql_select_loan = "SELECT * FROM future.loan WHERE Id != '' ORDER BY Id ASC;"
loan_list = self.mysql.fetch_all(sql_select_loan)
# 获取loan表最大行数
sql_select_row = "SELECT COUNT(Id) FROM future.loan;"
max_row = self.mysql.fetch_one(sql_select_row)['COUNT(Id)']
if loan_list is not None: # 如果从数据库里面查询出来不是空
for i in range(0, max_row): # 每一行数据校验
# 判断数据库里面的标的详情是否与请求返回的数据详情一致
# 多个字段一致才assert通过
self.assertEqual(int(resp_dict['data'][i]['id']),
loan_list[i]['Id'])
self.assertEqual(int(resp_dict['data'][i]['memberId']),
loan_list[i]['MemberID'])
self.assertEqual(resp_dict['data'][i]['title'],
loan_list[i]['Title'])
self.assertEqual(float(resp_dict['data'][i]['amount']),
float(loan_list[i]['Amount']))
self.assertEqual(float(resp_dict['data'][i]['loanRate']),
float(loan_list[i]['LoanRate']))
self.assertEqual(int(resp_dict['data'][i]['loanTerm']),
loan_list[i]['LoanTerm'])
self.assertEqual(int(resp_dict['data'][i]['loanDateType']),
loan_list[i]['LoanDateType'])
self.assertEqual(int(resp_dict['data'][i]['repaymemtWay']),
loan_list[i]['RepaymemtWay'])
self.assertEqual(int(resp_dict['data'][i]['biddingDays']),
loan_list[i]['BiddingDays'])
self.assertEqual(int(resp_dict['data'][i]['status']),
loan_list[i]['Status'])
self.assertEqual(
resp_dict['data'][i]['createTime'][0:19], loan_list[i]
['CreateTime'].strftime("%Y-%m-%d %H:%M:%S"))
# 时间是空值时，怎么校验？？？
# self.assertEqual(resp_dict['data'][i]['biddingStartTime'][0:19], loan_list[i]['BiddingStartTime'].strftime("%Y-%m-%d %H:%M:%S"))
# self.assertEqual(resp_dict['data'][i]['fullTime'][0:19],loan_list[i]['FullTime'].strftime("%Y-%m-%d %H:%M:%S"))
MyLog.info("正在校验数据库第{}行数据，结果：PASS".format(i + 1))
def tearDown(self):
self.mysql.close()
def setUpClass(cls):
global mysql
mysql = MysqlUtil()
sql = "select mobilephone from future.member where mobilephone != '' order by mobilephone desc limit 1;"
global max_phone_old
max_phone_old = mysql.fetch_one(sql)['mobilephone']
class TestInvest(unittest.TestCase):
def setUp(self):
self.mysql = MysqlUtil()
self.sql_select_member = 'SELECT * FROM future.member WHERE MobilePhone = {0}'.format(
Context.invest_user)
# 投资竞标前的账户余额
self.leaveamount_old = self.mysql.fetch_one(
self.sql_select_member)['LeaveAmount'] # 获取账户余额---测试投资竞标前的账户余额
print("投资竞标前的投资人账户余额是：{}元".format(self.leaveamount_old))
@data(*cases)
def test_invest(self, case):
data = DoRegex.replace(case.data) # 参数化处理
data = json.loads(data) # 将测试数据由字符串序列化成字典
if hasattr(Context, 'cookies'): # 判断是否有cookies
cookies = getattr(Context, 'cookies') # 获取放到上下文里面的cookies
else:
cookies = None
# Request封装类请求
resp = Request(method=case.method,
url=case.url,
data=data,
cookies=cookies)
print(resp.get_text())
resp_dict = resp.get_json() # 获取请求响应，字典
# 优先判断响应返回的code是否与期望结果一致
self.assertEqual(case.expected, int(resp_dict['code']))
# 判断有没有cookies
if resp.get_cookies(): # 判断返回里面是否有cookies
setattr(Context, 'cookies', resp.get_cookies()) # 放入到上下文中
# 当创建标的成功时，根据借款人ID查看数据库loan表是否添加数据
if resp_dict['msg'] == '加标成功':
sql_select_loan = 'SELECT * FROM future.loan WHERE MemberID = {} ORDER BY CreateTime DESC LIMIT 1;'.format(
Context.loan_member_id)
loan = self.mysql.fetch_one(sql_select_loan)
# 管理员加标成功的数据库校验
if loan is not None: # 如果从数据库里面查询出来不是空，则创建标的成功
# 判断数据库里面的标的详情是否与测试数据一致
# 多个字段一致才assert通过
self.assertEqual(int(data['memberId']),
loan['MemberID']) # MemberID是借款人的ID，管理员操作
self.assertEqual(float(data['amount']), loan['Amount'])
self.assertEqual(data['title'], loan['Title'])
self.assertEqual(float(data['loanRate']), loan['LoanRate'])
self.assertEqual(data['loanTerm'], loan['LoanTerm'])
self.assertEqual(data['loanDateType'], loan['LoanDateType'])
self.assertEqual(data['repaymemtWay'], loan['RepaymemtWay'])
self.assertEqual(data['biddingDays'], loan['BiddingDays'])
# 将创建成功的标的ID写入到上下文中，用于之后投资用
setattr(Context, 'loan_id',
str(loan['Id'])) # 放一个str类型的进去，以备后面正则替换
else: # 如果数据库里面没有数据，则管理员加标测试失败
raise AssertionError
# 当审核成功，需校验数据库loan表中status字段更改
if resp_dict['msg'] == "更新状态成功：竞标开始，当前标为竞标中状态":
sql_select_loan = 'SELECT * FROM future.loan WHERE MemberID = {} ORDER BY CreateTime DESC LIMIT 1;'.format(
Context.loan_member_id)
loan = self.mysql.fetch_one(sql_select_loan)
self.assertEqual(data['status'], loan['Status'])
# 当投资成功时，根据投资人ID查看数据member表中验证余额是否减少
if resp_dict['msg'] == "竞标成功":
amount = float(data['amount']) # 投资金额
print('投资竞标金额是：{}元'.format(amount))
leaveamount_new = self.mysql.fetch_one(
self.sql_select_member)['LeaveAmount'] # 投资后的金额
actual = float(leaveamount_new)
expected = float(self.leaveamount_old) - float(
amount) # 期望结果 = 投资前的余额 - 投资金额
self.assertEqual(expected, actual)
print("测试{}后的账户余额是：{}元".format(case.title, float(actual)))
elif resp_dict['code'] != '10001': # 投资失败，余额不变
leaveamount_new = self.mysql.fetch_one(
self.sql_select_member)['LeaveAmount'] # 投资后的金额
actual = leaveamount_new
print("测试{}后的账户余额是：{}元".format(case.title, float(actual)))
expected = self.leaveamount_old # 期望结果 = 投资前的余额
self.assertEqual(expected, actual)
# 当投资成功时，根据标的ID查看invest表，每投资一次，验证invest表新增一条记录---再补充!
pass
# 用户余额有变动的话，会在资金流水表插入一条记录 ---再补充!
pass
def tearDown(self):
self.mysql.close()
class TestFetInvestsByLoanId(unittest.TestCase):
def setUp(self):
self.mysql = MysqlUtil()
@data(*cases)
def test_getInvestsByLoanId(self, case):
data = DoRegex.replace(case.data) # 参数化处理
data = json.loads(data) # 将测试数据由字符串序列化成字典
if hasattr(Context, 'cookies'): # 判断是否有cookies
cookies = getattr(Context, 'cookies') # 获取放到上下文里面的cookies
else:
cookies = None
# Request封装类请求
resp = Request(method=case.method,
url=case.url,
data=data,
cookies=cookies)
resp_dict = resp.get_json() # 获取请求响应，字典
# 判断返回里面是否有cookies(有说明是登录接口)
if resp.get_cookies(): # 判断返回里面是否有cookies
setattr(Context, 'cookies', resp.get_cookies()) # 放入到上下文中
print("status_code：", resp.get_status_code()) # 打印响应码
resp_dict = resp.get_json() # 获取请求响应，字典
self.assertEqual(case.expected,
int(resp_dict['code'])) # 判断返回的code是否与期望结果一致
# 数据库校验
if resp_dict['msg'] == "获取记录成功":
# 从数据库查invest表中某个标的/项目的全部投资记录
sql_select_invest = "SELECT * FROM future.invest WHERE LoanId = {} ORDER BY Id DESC;".format(
Context.invest_List_by_loan_id)
invest_list = self.mysql.fetch_all(sql_select_invest)
# 根据标的/项目ID获取invest表中某个标的/项目的投资记录的最大行数
sql_select_row = "SELECT COUNT(Id) FROM future.invest WHERE LoanId = {};".format(
Context.invest_List_by_loan_id)
max_row = self.mysql.fetch_one(sql_select_row)['COUNT(Id)']
if invest_list is not None:
for i in range(0, max_row): # 每一行数据校验
MyLog.info("正在校验第{}行数据".format(i))
# 判断请求返回的数据详情与数据库里面的详情是否一致
# 多个字段一致才assert通过
self.assertEqual(int(resp_dict['data'][i]['id']),
invest_list[i]['Id'])
self.assertEqual(int(resp_dict['data'][i]['memberId']),
invest_list[i]['MemberID'])
self.assertEqual(int(resp_dict['data'][i]['loanId']),
invest_list[i]['LoanId'])
self.assertEqual(float(resp_dict['data'][i]['amount']),
invest_list[i]['Amount'])
self.assertEqual(int(resp_dict['data'][i]['isValid']),
invest_list[i]['IsValid'])
self.assertEqual(
resp_dict['data'][i]['createTime'][0:19],
invest_list[i]['CreateTime'].strftime(
"%Y-%m-%d %H:%M:%S"))
MyLog.info("校验结果：PASS")
def tearDown(self):
self.mysql.close()
class InvestTest(unittest.TestCase):
def setUp(self):
self.mysql = MysqlUtil()
# 投资前账户余额
self.select_member = 'select * from future.member where mobilephone = {0}'.format(
Context.normal_user)
self.before_amount = self.mysql.fetch_one(
self.select_member)['LeaveAmount']
# 自己去添加
pass
@data(*cases)
def test_invest(self, case):
# 参数化处理
data = DoRegex.replace(case.data)
# 将测试数据由字符串序列化成字典
data = json.loads(data, encoding="UTF-8")
print("Test data:{}".format(data))
if hasattr(Context, 'cookies'): # 判断是否有cookies
cookies = getattr(Context, 'cookies') # 获取放到上下文里面的cookies
else:
cookies = None
# 通过封装的Request类来完成接口的调用
resp = Request(method=case.method,
url=case.url,
data=data,
cookies=cookies)
print(resp.get_text())
resp_dict = resp.get_json() # 获取请求响应，字典
# 优先判断响应返回的code 是否与期望结果一致
self.assertEqual(case.expected, int(resp_dict['code']))
# 判断有没有cookie
if resp.get_cookies(): # 判断返回里面是否有cookies
setattr(Context, 'cookies', resp.get_cookies()) # 放入到上下文中
# 当创建标的成功时，根据借款人ID查看数据库loan表是否与添加数据
if resp_dict['msg'] == '加标成功':
select_loan = 'select * from future.loan where memberId = {0} order by createtime desc limit 1'.format(
Context.loan_member_id)
loan = self.mysql.fetch_one(select_loan)
if loan is not None: # 如果从数据库里面查询出来不是空，则创建标的成功
# 判断数据库里面的标的详情是否与测试数据一致,可以优化
# self.assertEqual(float(data['amount']), float(loan['Amount'])) # 多个字段一致才assert通过
# # self.assertEqual(data['title'], str(loan['Title']))
# self.assertEqual(int(data['loanRate']), int(loan['LoanRate']))
# self.assertEqual(data['loanTerm'], loan['LoanTerm'])
# self.assertEqual(data['loanDateType'], loan['LoanDateType'])
# self.assertEqual(data['repaymemtWay'], loan['RepaymemtWay'])
# self.assertEqual(data['biddingDays'], loan['BiddingDays'])
# self.assertDictEqual(data,loan) # 断言优化
# 将创建成功的标的ID写入到上下文中，用于之后投资用
setattr(Context, 'loan_id',
str(loan['Id'])) # 放一个str类型的进去，以备后面正则替换
else:
raise AssertionError # 如果数据库里面没有数据，就测试失败
# 当审核成功，需校验数据库loan表中status字段更改，自己添加
if resp_dict['msg'] == '成功':
select_status = "select * from future.loan where loan_id={0}".format(
Context.loan_id)
loan_status = self.mysql.fetch_one(select_status)
self.assertEqual(data['status'], loan_status['status'])
# 当投资成功时，根据投资人ID查看数据member表中验证余额是否减少
if resp_dict['msg'] == '竞标成功':
amount = data['amount'] # 投资金额
actual = self.mysql.fetch_one(
self.select_member)['LeaveAmount'] # 投资后的金额
expect = float(self.before_amount) - float(
amount) # 期望 = 投资前的余额 - 投资金额
self.assertEqual(str(expect), str(actual))
elif resp_dict['code'] != '10001': # 投资失败，余额不变
actual = self.mysql.fetch_one(
self.select_member)['LeaveAmount'] # 投资后的金额
expect = float(self.before_amount) # 期望 = 投资前的余额
self.assertEqual(str(expect), str(actual))
# else:
# raise AssertionError # 如果数据库里面没有数据，就测试失败
def tearDown(self):
pass
# -*- coding:utf-8 -*-
# @Time : 2019/1/5 12:08
# @Author : totoo
import unittest
from common.do_excel import DoExcel
from common.config import constants
from common.request import Request
from common.basic_data import DoRegex,Context
import json
from ddt import ddt,data,unpack,file_data
from datas.mysql_util import MysqlUtil
do_excel = DoExcel(constants.case_file) # 实例化一个DoExcel对象
cases = do_excel.get_cases("invest") #返回case列表
mysql = MysqlUtil()
select_loan = 'select * from future.loan where memberId = {0} order by createtime desc limit 1'.format(Context.loan_member_id)
loan = mysql.fetch_one(select_loan)
print(loan.decode('UTF-8').encode('GBK')['Title'])
class TestAudit(unittest.TestCase):
def setUp(self):
self.mysql = MysqlUtil()
self.sql = "SELECT * FROM future.loan WHERE Id != '' ORDER BY Id DESC LIMIT 1;"
self.max_loan_id_old = self.mysql.fetch_one(self.sql)['Id']
print("测试审核前的最大标的ID是：", self.max_loan_id_old)
@data(*cases) # 传进来cases列表
def test_audit(self, case): # 用case变量接收传进来的数据
data = DoRegex.replace(case.data) # 参数化处理
data = json.loads(data) # 将测试数据由字符串序列化成字典
# 先判断有没有cookies
if hasattr(Context, 'cookies'): # 判断是否有cookies
cookies = getattr(Context, 'cookies') # 获取放到上下文里面的cookies
else:
cookies = None
# Request封装类请求
resp = Request(method=case.method,
url=case.url,
data=data,
cookies=cookies) # request请求时，data一定要是字典类型
print("status_code：", resp.get_status_code()) # 打印响应码
resp_dict = resp.get_json() # 获取请求响应，字典
# 优先判断响应返回的code是否与期望结果一致
self.assertEqual(case.expected, int(resp_dict['code']))
# 判断有没有cookies（有说明是登录接口）
if resp.get_cookies():
setattr(Context, 'cookies', resp.get_cookies()
) # --请求request拿到cookies --把cookies放到Context里
# 当创建标的成功时，根据借款人ID查看数据库loan表是否添加数据
if resp_dict['msg'] == "加标成功": # 新增标的成功的数据校验，判断数据库loan表有这条新增的数据
# 再次查询数据库，获取最新的最大标的loan各项信息
sql = "SELECT * FROM future.loan WHERE MemberID = {} ORDER BY Id DESC LIMIT 1;".format(
Context.loan_member_id)
loan = self.mysql.fetch_one(sql) # loan是字典类型
if loan is not None: # 正常加标成功，不应该返回None,管理员加标成功的数据库校验
max_loan_id_new = self.max_loan_id_old + 1
expected = max_loan_id_new # 期望结果：测试加标成功前的最大标的ID加上1
# 判断数据库里面的标的详情是否与测试数据一致
# 多个字段一致才assert通过
self.assertEqual(expected, loan['Id']) # 实际结果：数据库查询的最大标的ID
self.assertEqual(int(data['memberId']),
loan['MemberID']) # MemberID是借款人的ID，管理员登录进行操作
self.assertEqual(float(data['amount']), loan['Amount'])
self.assertEqual(data['title'], loan['Title'])
self.assertEqual(float(data['loanRate']), loan['LoanRate'])
self.assertEqual(data['loanTerm'], loan['LoanTerm'])
self.assertEqual(data['loanDateType'], loan['LoanDateType'])
self.assertEqual(data['repaymemtWay'], loan['RepaymemtWay'])
self.assertEqual(data['biddingDays'], loan['BiddingDays'])
self.assertEqual(1, loan['Status'])
print("测试加标后的最大标的ID是：", max_loan_id_new)
# 将创建成功的标的ID写入到上下文中，用于之后投资用
setattr(Context, 'loan_id',
str(loan['Id'])) # 放一个str类型的进去，以备后面正则替换
else: # 返回None，表示数据库里面没有插入数据，管理员加标测试失败
raise AssertionError
# 当审核成功，需校验数据库loan表中status字段更改
if case.url == '/loan/audit' and resp_dict['code'] == 10001:
sql = 'SELECT * FROM future.loan WHERE MemberID = {} ORDER BY CreateTime DESC LIMIT 1;'.format(
Context.loan_member_id)
loan = self.mysql.fetch_one(sql)
self.assertEqual(data['status'], loan['Status'])