def test_bidLoan(self, case):
data = DoRegex.replace(case.data)
data = json.loads(data)
print("执行第{}条案例".format(case.case_id))
if hasattr(Context, 'cookies'):
cookies = getattr(Context, 'cookies')
else:
cookies = None
res = Request(method=case.method, url=case.url, data=data, cookies=cookies)
print(res.get_json())
if res.get_cookies():
setattr(Context, 'cookies', res.get_cookies())
if res.get_json()['msg'] == "竞标成功":
expect = float(self.start_amount) - float(data['amount'])
actual = self.mysql.fetch_one(self.sql)['LeaveAmount']
try:
self.assertEqual(expect, actual) # 一直报错，实际值不正确，数据库数据没有变化 ？？？
print(expect)
print(actual)
except Exception as e:
print("投标成功断言失败！")
raise e
else:
expect = float(self.start_amount)
actual = self.mysql.fetch_one(self.sql)['LeaveAmount']
try:
self.assertEqual(expect, actual)
print(expect)
print(actual)
except Exception as e:
print("投标失败断言失败！")
raise e
def test_recharge(self, case):
# 参数化处理
data = DoRegex.replace(case.data)
# 将字符串序列化成字典
data = json.loads(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
resp = Request(method=case.method, url=case.url, data=data, cookies=cookies) # 通过封装的Request类来完成接口的调用
# 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
resp_dict = resp.get_json() # 获取请求响应，字典
self.assertEqual(case.expected, int(resp_dict['code'])) # 判断响应返回的code 是否与期望结果一致
actual = self.mysql.fetch_one(self.sql)['LeaveAmount'] # 再次获取账户余额
print("测试{0}后的金额".format(case.title), actual)
# 充值成功，判断余额增加
if resp_dict['code'] == '10001' and resp_dict['msg'] == "充值成功":
amount = float(data['amount']) # 充值金额
print('充值金额', amount)
expect = float(self.before_amount) + amount # 充值成功，期望的账户余额= 原来余额 + 充值金额
self.assertEqual(expect, actual) # 判断期望结果与实际结果是否一致
elif resp_dict['code'] != '10001':
expect = self.before_amount # 充值失败，期望结果：余额未增加
self.assertEqual(expect, actual) # 判断期望结果与实际结果是否一致
def test_recharge(self, case): # 必须传输一条case
my_logger = MyLog()
data = DoRegex.replace(case.data) # 首先从excel中取出来，然后做正则
data = json.loads(data) # 然后在loads
if hasattr(Context, 'cookies'): # 第一次登陆没有cookies，所以要判断
# 参数化处理
cookies = getattr(Context, 'cookies')
else:
cookies = None
res = Request(method=case.method,
url=case.url,
data=data,
cookies=cookies)
# 判断有没有cookies
if res.get_cookies():
setattr(Context, 'cookies', res.get_cookies())
my_logger.debug(res.get_json())
try:
self.assertEqual(str(case.expected), res.get_json()['code'])
except AssertionError as e:
my_logger.error("{} not found".format(e))
raise e
if res.get_json()['msg'] == '充值成功':
try:
self.assertEqual(str(self.leaveamount + 10),
res.get_json()['data']['leaveamount'])
except AssertionError as a:
my_logger.error("余额不正确，报错{}".format(a))
def test_add(self, case):
data = DoRegex.replace(case.data)
data = json.loads(data)
if hasattr(Context, 'cookies'):
cookies = Context.cookies
else:
cookies = None
#请求成功后，返回response
resp = Request(method=case.method,
url=case.url,
data=data,
cookies=cookies)
if resp.get_cookies(): # 将cookies动态写入上下文管理器中
setattr(Context, 'cookies', resp.get_cookies())
print("用例名称：", case.title)
resp_dict = resp.get_json()
print(resp.get_text())
self.assertEqual(str(case.expected),
resp_dict['code']) # check the response code firstly
# Check that the login case is successful
if case.title == '管理员正常登录':
try:
self.assertEqual(str(case.expected), resp_dict['code'])
TestResult = 'PASS'
do_excel.write_result_by_case_id('add', case.case_id,
resp.get_text(), TestResult)
except AssertionError as e:
TestResult = 'Fail'
do_excel.write_result_by_case_id('add', case.case_id,
resp.get_text(), TestResult)
raise e
def test_withdraw(self, case):
my_logger = MyLog()
my_logger.debug("执行第{}条案例".format(case.case_id))
data = DoRegex.replace(case.data)
data = json.loads(data)
if hasattr(Context, 'cookies'):
cookies = getattr(Context, 'cookies')
else:
cookies = None
res = Request(method=case.method,
url=case.url,
data=data,
cookies=cookies)
if res.get_cookies():
setattr(Context, 'cookies', res.get_cookies())
my_logger.debug(res.get_json())
try:
self.assertEqual(case.expected, int(res.get_json()['code']))
except AssertionError as e:
my_logger.error("断言失败！")
raise e
if res.get_json()['msg'] == '取现成功':
expected = float(self.start_amount) - float(data['amount'])
actual = self.mysql.fetch_one(self.sql)['LeaveAmount']
try:
self.assertEqual(expected, actual)
except AssertionError as e:
raise e
else:
expected = float(self.start_amount)
actual = self.mysql.fetch_one(self.sql)['LeaveAmount']
self.assertEqual(expected, actual)
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'])
def test_getInvestsByMemberId(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'] == "获取用户投资列表成功":
# 从数据库查invest表中某个用户的全部投资记录
sql_select_invest = "SELECT * FROM future.invest WHERE MemberID = {} ORDER BY Id DESC;".format(
Context.invest_member_id)
invest_list = self.mysql.fetch_all(sql_select_invest)
# 根据用户ID获取invest表中某个用户的投资记录的最大行数
sql_select_row = "SELECT COUNT(Id) FROM future.invest WHERE MemberID = {};".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]['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 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 test_list(self, case):
my_logger = MyLog()
if case.data != None:
data = DoRegex.replace(case.data) # 正则调用，替换正则表达式的数据
data = json.loads(data)
if hasattr(Context, 'cookies'):
cookies = getattr(Context, 'cookies')
else:
cookies = None
res = Request(method=case.method, url=case.url, data=data, cookies=cookies)
print(res.get_json())
if res.get_cookies():
setattr(Context, 'cookies', res.get_cookies())
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)
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
self.assertEqual(data['amount'],
loan['Amount']) # 多个字段一致才assert通过
# 其他的自己加
# 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
# 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(expect, 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(expect, actual)
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 test_recharge(self, case): # 用case变量接收传进来的数据
# 参数化处理
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
MyLog.info("正在执行第{}条用例：{}。".format(case.case_id, case.title))
MyLog.info("测试数据是{}".format(data))
# --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）
# --请求request拿到cookies --把cookies放到Context里
# if resp.get_cookies('JSESSIONID'):
# setattr(Context,'cookies',{'JSESSIONID':resp.get_cookies('JSESSIONID')})
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，判断充值成功之后账户余额增加正确，充值失败余额不变
# 通过数据库查可以看到充值前的余额，充值后的余额，excel中的case.data可以查到充值金额amount
# 数据库校验：期望的充值后的余额=充值金额+充值前的余额，实际的充值后的余额=查询数据库得到充值后的余额
leaveamount_new = mysql.fetch_one(sql) # 再次获取账户余额---测试充值后的余额
actual = float(
leaveamount_new['LeaveAmount']) # 实际的账户余额 = 查询数据库得到账户的余额
MyLog.info("测试{}后的余额是：{}元".format(case.title, actual))
if resp_dict['code'] == '10001' and resp_dict[
'msg'] == "充值成功": # 充值请求后的响应码是10001并且充值成功
amount = float(data['amount']) # 通过excel中的case.data可以查到充值金额amount
MyLog.info('充值金额是：{}元'.format(amount))
expected = float(self.leaveamount_old['LeaveAmount']
) + amount # 充值成功，期望的账户余额=充值前的余额+充值金额
self.assertEqual(expected, actual) # 判断期望结果与实际结果是否一致
MyLog.info("此次测试结果是：PASS")
elif resp_dict['code'] != '10001':
expected = float(self.leaveamount_old['LeaveAmount']
) # 充值失败，期望结果：账户余额不变，是充值前的余额
self.assertEqual(expected, actual) # 判断期望结果与实际结果是否一致
MyLog.info("此次测试结果是：PASS")
def test_recharge(self, case):
# 参数化处理
data = DoRegex.replace(case.data)
data = json.loads(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
resp = Request(method=case.method,
url=case.url,
data=data,
cookies=cookies) # 通过封装的Request类来完成接口的调用
# 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
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
def test_charge(self,case):
# 对取到的数据，做参数化处理
data = DoRegex.replace(case.data)
data = json.loads(data)
print("===test data===",data)
if hasattr(Context,'cookies'): # 通过上下文判断，来赋值cookies
cookies=getattr(Context,'cookies')
else:
cookies = None
resp = Request(method=case.method, url=case.url, data=data,cookies=cookies) # 通过封装的Request类来完成接口的调用
# 判断有没有cookie，如果有cookies（也就是在登陆的时候获取到了cookie），就给上下问context，增加一个cookies属性，
# 将登陆获取到的cookies存储起来
if resp.get_cookies():
setattr(Context,'cookies',resp.get_cookies())
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,resp.get_json_code())
def test_add(self, case): # 必须传输一条case
my_logger = MyLog()
data = DoRegex.replace(case.data) # 首先从excel中取出来，然后做正则
data = json.loads(data) # 然后在loads
if hasattr(Context, 'cookies'): # 第一次登陆没有cookies，所以要判断
cookies = getattr(Context, 'cookies')
else:
cookies = None
res = Request(method=case.method,
url=case.url,
data=data,
cookies=cookies)
# 判断有没有cookies
if res.get_cookies():
setattr(Context, 'cookies', res.get_cookies())
my_logger.debug(res.get_json())
try:
self.assertEqual(str(case.expected), res.get_json()['code'])
except AssertionError as e:
my_logger.error("断言失败")
raise e
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 test_generateRepayments(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
# 数据库校验
pass
def test_add(self, case): # 必须传输一条case
my_logger = MyLog()
data = DoRegex.replace(case.data) # 首先从excel中取出来，然后做正则
data = json.loads(data) # 然后在loads
if hasattr(Context, 'cookies'): # 第一次登陆没有cookies，所以要判断
cookies = getattr(Context, 'cookies')
else:
cookies = None
res = Request(method=case.method,
url=case.url,
data=data,
cookies=cookies)
# 判断有没有cookies
if res.get_cookies():
setattr(Context, 'cookies', res.get_cookies())
my_logger.debug(res.get_json())
try:
self.assertEqual(str(case.expected), res.get_json()['code'])
except AssertionError as e:
my_logger.error("断言失败")
raise e
resp_dict = res.get_json()
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_1)
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
self.assertEqual(data['amount'],
loan['Amount']) # 多个字段一致才assert通过
# 其他的自己加
# 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
def test_generateRepayments(self,case):
setattr(Context,'not_generate_loan_id',str(not_generate_loan_id))
# setattr(Context,'full_loan_id',str(full_loan_id))
setattr(Context,'not_exist_loan_id',str(int(max_loan_id)+2)) # 跑用例之前最大id，运行完之后id+1，保证不存在需再加1
data = DoRegex.replace(case.data) # 正则匹配，用配置文件的基础数据替换正则表达式代替的内容
data = json.loads(data) # str反序列化为dict
# 判断是否有cookies，解决数据依赖
if hasattr(Context,'cookies'):
cookies = Context.cookies
else:
cookies = None
# 发起request请求
resp = Request(method=case.method,url=case.url,data=data,cookies=cookies)
print("用例名称：",case.title)
#请求成功后，返回response
resp_dict = resp.get_json()
print(resp.get_text())
# 优化对excel中expected和实际返回结果作断言
expectVal = case.expected
if (expectVal is None) or (str(expectVal).strip().strip('\n') is ''): # 对空单元格异常处理
expectVal = ''
self.assertEqual(str(expectVal), resp_dict['code'])
# 判断response中是否有cookies，反射方法写到Context类中
if resp.get_cookies():
setattr(Context,'cookies',resp.get_cookies())
if resp_dict['msg'] =='登录成功':
try:
self.assertEqual(case.expected,eval(resp_dict['code']))
TestResult = 'PASS'
do_excel.write_result_by_case_id('generateRepayments',case.case_id,resp.get_text(),TestResult)
except AssertionError as e:
TestResult = 'Fail'
do_excel.write_result_by_case_id('generateRepayments',case.case_id,resp.get_text(),TestResult)
raise e
# 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 = mysql.fetch_one(select_loan) #查询到投标金额
if loan is not None:
self.assertEqual(data['amount'],loan['Amount']) # 实际加标金额与数据库加标金币是否一致
self.assertEqual(data['loanRate'],str(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
TestResult = 'PASS'
do_excel.write_result_by_case_id('generateRepayments',case.case_id,resp.get_text(),TestResult)
else:
TestResult = 'Fail'
do_excel.write_result_by_case_id('generateRepayments',case.case_id,resp.get_text(),TestResult)
raise AssertionError
# 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'] == '更新状态成功：竞标开始，当前标为竞标中状态':
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) #查询到投标金额
if loan is not None:
self.assertEqual(data['status'],loan['Status'])
TestResult = 'PASS'
do_excel.write_result_by_case_id('generateRepayments',case.case_id,resp.get_text(),TestResult)
else:
TestResult = 'Fail'
do_excel.write_result_by_case_id('generateRepayments',case.case_id,resp.get_text(),TestResult)
raise AssertionError
elif resp_dict['status'] == 0:
try:
self.assertEqual(str(case.expected),resp_dict['code'])
TestResult = 'PASS'
do_excel.write_result_by_case_id('generateRepayments',case.case_id,resp.get_text(),TestResult)
except AssertionError as e:
TestResult = 'Fail'
do_excel.write_result_by_case_id('generateRepayments',case.case_id,resp.get_text(),TestResult)
raise e
# 生成回款计划 校验数据库
select_invest = 'SELECT * FROM future.invest a inner join future.repayment b on a.id = b.investid where MemberID = {0} order by investid desc'.format(Context.normal_member_id)
invest = mysql.fetch_one(select_invest) #查询回款记录
if resp_dict['msg'] == '生成回款计划成功':
if invest is not None:
self.assertEqual(resp_dict['data'][0]['investId'],str(invest['InvestId']))
TestResult = 'PASS'
do_excel.write_result_by_case_id('generateRepayments',case.case_id,resp.get_text(),TestResult)
else:
TestResult = 'Fail'
do_excel.write_result_by_case_id('generateRepayments',case.case_id,resp.get_text(),TestResult)
raise AssertionError
elif resp_dict['code'] != 10001:
if invest is not None:
self.assertEqual(str(case.expected),resp_dict['code'])
TestResult = 'PASS'
do_excel.write_result_by_case_id('generateRepayments',case.case_id,resp.get_text(),TestResult)
else:
TestResult = 'Fail'
do_excel.write_result_by_case_id('generateRepayments',case.case_id,resp.get_text(),TestResult)
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 test_invest(self, case):
setattr(Context, 'cannot_loan_id', str(cannot_load_id))
setattr(Context, 'full_loan_id', str(full_loan_id))
setattr(Context, 'not_exist_loan_id',
str(int(max_loan_id) + 2)) # 跑用例之前最大id，运行完之后id+1，保证不存在需再加1
data = DoRegex.replace(case.data) # 正则匹配，用配置文件的基础数据替换正则表达式代替的内容
data = json.loads(data) # str反序列化为dict
# 判断是否有cookies，解决数据依赖
if hasattr(Context, 'cookies'):
cookies = Context.cookies
else:
cookies = None
# 发起request请求
resp = Request(method=case.method,
url=case.url,
data=data,
cookies=cookies)
print("用例名称：", case.title)
#请求成功后，返回response
resp_dict = resp.get_json()
print(resp.get_text())
# 优化对excel中expected和实际返回结果作断言
expectVal = case.expected
if (expectVal is None) or (str(expectVal).strip().strip('\n') is
''): # 对空单元格异常处理
expectVal = ''
self.assertEqual(str(expectVal), resp_dict['code'])
# 判断response中是否有cookies，反射方法写到Context类中
if resp.get_cookies():
setattr(Context, 'cookies', resp.get_cookies())
if resp_dict['msg'] == '登录成功':
try:
self.assertEqual(case.expected, eval(resp_dict['code']))
TestResult = 'PASS'
do_excel.write_result_by_case_id('invest', case.case_id,
resp.get_text(), TestResult)
except AssertionError as e:
TestResult = 'Fail'
do_excel.write_result_by_case_id('invest', case.case_id,
resp.get_text(), TestResult)
raise e
# 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) #查询到投标金额
if loan is not None:
self.assertEqual(data['amount'],
loan['Amount']) # 实际加标金额与数据库加标金币是否一致
self.assertEqual(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
TestResult = 'PASS'
do_excel.write_result_by_case_id('invest', case.case_id,
resp.get_text(), TestResult)
else:
TestResult = 'Fail'
do_excel.write_result_by_case_id('invest', case.case_id,
resp.get_text(), TestResult)
raise AssertionError
# 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'] == '更新状态成功：竞标开始，当前标为竞标中状态':
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) #查询到投标金额
if loan is not None:
self.assertEqual(data['status'], loan['Status'])
TestResult = 'PASS'
do_excel.write_result_by_case_id('invest', case.case_id,
resp.get_text(), TestResult)
else:
TestResult = 'Fail'
do_excel.write_result_by_case_id('invest', case.case_id,
resp.get_text(), TestResult)
raise AssertionError
# 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']
actual = self.mysql.fetch_one(self.select_member)['LeaveAmount']
expect = float(self.before_amount) - float(amount)
self.assertEqual(expect, actual)
print("竞标成功后余额为{0}：".format(actual))
TestResult = 'PASS'
do_excel.write_result_by_case_id('invest', case.case_id,
resp.get_text(), TestResult)
#投资失败，余额不变
elif resp_dict['status'] == 0: # 投资失败
try:
actual = self.mysql.fetch_one(
self.select_member)['LeaveAmount']
expect = float(self.before_amount) # 余额应等于投资前的金额
self.assertEqual(expect, actual)
print("竞标失败余额为{0}：".format(actual))
TestResult = 'PASS'
do_excel.write_result_by_case_id('invest', case.case_id,
resp.get_text(), TestResult)
except AssertionError as e:
TestResult = 'Fail'
do_excel.write_result_by_case_id('invest', case.case_id,
resp.get_text(), TestResult)
raise e
def test_recharge(self, case):
#参数化
register = int(max_phone) + 1
data = DoRegex.replace(case.data) #正则 查找并替换$表达式
data = re.sub(pattern='\#\{(.*?)\}', repl=str(register),
string=data) # 使用正则匹配替换#表达式register
data = json.loads(data) #将str反序列化为字典
#处理cookies
if hasattr(Context, 'cookies'):
cookies = getattr(Context, 'cookies')
else:
cookies = None
resp = Request(method=case.method,
url=case.url,
data=data,
cookies=cookies)
#判断有没有cookies，动态获取cookies
if resp.get_cookies():
setattr(Context, 'cookies', resp.get_cookies())
print("请求响应结果：", resp.get_status_code())
resp_dict = resp.get_json()
resp_text = json.dumps(resp_dict, ensure_ascii=False, indent=4)
print('response: ', resp_text) # 打印响应
# 请求完后后，优先判断返回code
self.assertEqual(case.expected, int(resp_dict['code']))
actural = mysql.fetch_one(
self.select_member)['LeaveAmount'] # 查询数据库中该用户的实际余额
if resp_dict['msg'] == '登录成功':
try:
self.assertEqual(case.expected, eval(resp_dict['code']))
TestResult = 'PASS'
do_excel.write_result_by_case_id('recharge', case.case_id,
resp.get_text(), TestResult)
except AssertionError as e:
TestResult = 'Fail'
do_excel.write_result_by_case_id('recharge', case.case_id,
resp.get_text(), TestResult)
raise e
# 充值需要校验数据库,查询数据库中的 leaveamount是否与实际金额一致
elif resp_dict['msg'] == '充值成功':
expected = self.before_amount + int(
data['amount']) # 充值成功余额 = 充值前+充值金额
self.assertEqual(expected, actural)
TestResult = 'PASS'
do_excel.write_result_by_case_id('recharge', case.case_id,
resp.get_text(), TestResult)
elif resp_dict['msg'] == '此手机号对应的会员不存在':
sql_member = 'select * from future.member where mobilephone = {0}'.format(
register)
member = mysql.fetch_one(sql_member)
if member is None: # 如果数据中不存在，表示未被注册，无法充值
TestResult = 'PASS'
do_excel.write_result_by_case_id('recharge', case.case_id,
resp.get_text(), TestResult)
else:
TestResult = 'Fail'
do_excel.write_result_by_case_id('recharge', case.case_id,
resp.get_text(), TestResult)
else: # 其他异常场景也需要校验数据库
try:
expected = self.before_amount # 充值失败 = 充值前
self.assertEqual(expected, actural)
TestResult = 'PASS'
do_excel.write_result_by_case_id('recharge', case.case_id,
resp.get_text(), TestResult)
except AssertionError as e:
TestResult = 'Fail'
do_excel.write_result_by_case_id('recharge', case.case_id,
resp.get_text(), TestResult)
raise e
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