提交 b37f32b577dc9d4e1df8c0e2d50a3d3f94b1f9fc

作者 Shishutong
1 个父辈 a3afe59e

版本:1.0.10

1.新增学生报名接口
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90 ;数据库相关的配置 84 ;数据库相关的配置
91 ;============================================================================================ 85 ;============================================================================================
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"fail": 1, "skip": 0, "error": 21, "runtime": "3.09 S", "begin_time": "2023-01-04 18:07:06", "pass_rate": "0.00"}, {"success": 0, "all": 22, "fail": 1, "skip": 0, "error": 21, "runtime": "2.75 S", "begin_time": "2023-01-04 18:07:44", "pass_rate": "0.00"}, {"success": 0, "all": 22, "fail": 1, "skip": 0, "error": 21, "runtime": "2.96 S", "begin_time": "2023-01-04 18:08:17", "pass_rate": "0.00"}, {"success": 0, "all": 1, "fail": 1, "skip": 0, "error": 0, "runtime": "7.34 S", "begin_time": "2023-01-04 18:14:28", "pass_rate": "0.00"}, {"success": 19, "all": 25, "fail": 6, "skip": 0, "error": 0, "runtime": "12.06 S", "begin_time": "2023-01-04 18:17:02", "pass_rate": "76.00"}, {"success": 19, "all": 25, "fail": 6, "skip": 0, "error": 0, "runtime": "11.88 S", "begin_time": "2023-01-04 18:18:52", "pass_rate": "76.00"}, {"success": 19, "all": 25, "fail": 6, "skip": 0, "error": 0, "runtime": "11.68 S", "begin_time": "2023-01-04 18:20:14", "pass_rate": "76.00"}, {"success": 19, "all": 25, "fail": 6, "skip": 0, "error": 0, "runtime": "12.14 S", "begin_time": "2023-01-04 18:22:05", "pass_rate": "76.00"}, {"success": 143, "all": 147, "fail": 4, "skip": 0, "error": 0, "runtime": "79.46 S", "begin_time": "2023-01-05 10:13:52", "pass_rate": "97.28"}, {"success": 142, "all": 147, "fail": 5, "skip": 0, "error": 0, "runtime": "74.37 S", "begin_time": "2023-01-05 10:49:16", "pass_rate": "96.60"}, {"success": 141, "all": 147, "fail": 4, "skip": 0, "error": 2, "runtime": "80.52 S", "begin_time": "2023-01-05 11:15:17", "pass_rate": "95.92"}, {"success": 142, "all": 147, "fail": 4, "skip": 0, "error": 1, "runtime": "81.42 S", "begin_time": "2023-01-05 13:34:47", "pass_rate": "96.60"}, {"success": 30, "all": 31, "fail": 0, "skip": 0, "error": 1, "runtime": "20.28 S", "begin_time": "2023-01-05 13:39:33", "pass_rate": "96.77"}, {"success": 141, "all": 147, "fail": 5, "skip": 0, "error": 1, "runtime": "88.84 S", "begin_time": "2023-01-05 13:57:02", "pass_rate": "95.92"}, {"success": 142, "all": 147, "fail": 4, "skip": 0, "error": 1, "runtime": "84.58 S", "begin_time": "2023-01-05 14:04:25", "pass_rate": "96.60"}, {"success": 142, "all": 147, "fail": 5, "skip": 0, "error": 0, "runtime": "81.07 S", "begin_time": "2023-01-05 14:09:05", "pass_rate": "96.60"}, {"success": 142, "all": 147, "fail": 4, "skip": 0, "error": 1, "runtime": "78.35 S", "begin_time": "2023-01-05 14:19:41", "pass_rate": "96.60"}, {"success": 143, "all": 147, "fail": 4, "skip": 0, "error": 0, "runtime": "78.66 S", "begin_time": "2023-01-05 14:59:39", "pass_rate": "97.28"}, {"success": 0, "all": 25, "fail": 10, "skip": 0, "error": 15, "runtime": "42.49 S", "begin_time": "2023-01-05 16:35:10", "pass_rate": "0.00"}, {"success": 0, "all": 25, "fail": 25, "skip": 0, "error": 0, "runtime": "45.53 S", "begin_time": "2023-01-05 16:37:49", "pass_rate": "0.00"}, {"success": 0, "all": 25, "fail": 0, "skip": 25, "error": 0, "runtime": "2.45 S", "begin_time": "2023-01-05 16:39:58", "pass_rate": "0.00"}, {"success": 0, "all": 25, "fail": 25, "skip": 0, "error": 0, "runtime": "10.28 S", "begin_time": "2023-01-05 16:40:37", "pass_rate": "0.00"}, {"success": 0, "all": 25, "fail": 0, "skip": 25, "error": 0, "runtime": "2.77 S", "begin_time": "2023-01-05 16:42:20", "pass_rate": "0.00"}, {"success": 0, "all": 25, "fail": 0, "skip": 25, "error": 0, "runtime": "2.48 S", "begin_time": "2023-01-05 16:45:55", "pass_rate": "0.00"}, {"success": 0, "all": 25, "fail": 0, "skip": 25, "error": 0, "runtime": "3.48 S", "begin_time": "2023-01-05 16:47:00", "pass_rate": "0.00"}, {"success": 0, "all": 25, "fail": 0, "skip": 25, "error": 0, "runtime": "2.33 S", "begin_time": "2023-01-05 16:51:46", "pass_rate": "0.00"}, {"success": 0, "all": 25, "fail": 25, "skip": 0, "error": 0, "runtime": "2.42 S", "begin_time": "2023-01-05 16:52:44", "pass_rate": "0.00"}, {"success": 0, "all": 25, "fail": 24, "skip": 0, "error": 1, "runtime": "2.36 S", "begin_time": "2023-01-05 16:55:52", "pass_rate": "0.00"}, {"success": 0, "all": 25, "fail": 25, "skip": 0, "error": 0, "runtime": "3.06 S", "begin_time": "2023-01-05 16:59:49", "pass_rate": "0.00"}, {"success": 0, "all": 25, "fail": 0, "skip": 25, "error": 0, "runtime": "2.70 S", "begin_time": "2023-01-05 17:01:33", "pass_rate": "0.00"}, {"success": 0, "all": 25, "fail": 0, "skip": 25, "error": 0, "runtime": "2.75 S", "begin_time": "2023-01-05 17:05:15", "pass_rate": "0.00"}, {"success": 0, "all": 25, "fail": 0, "skip": 25, "error": 0, "runtime": "2.76 S", "begin_time": "2023-01-05 17:05:57", "pass_rate": "0.00"}, {"success": 0, "all": 25, "fail": 0, "skip": 25, "error": 0, "runtime": "2.77 S", "begin_time": "2023-01-05 17:17:22", "pass_rate": "0.00"}, {"success": 0, "all": 25, "fail": 0, "skip": 25, "error": 0, "runtime": "2.74 S", "begin_time": "2023-01-05 17:18:08", "pass_rate": "0.00"}, {"success": 0, "all": 25, "fail": 0, "skip": 25, "error": 0, "runtime": "3.02 S", "begin_time": "2023-01-05 17:18:19", "pass_rate": "0.00"}, {"success": 0, "all": 25, "fail": 0, "skip": 25, "error": 0, "runtime": "2.86 S", "begin_time": "2023-01-05 17:19:03", "pass_rate": "0.00"}, {"success": 0, "all": 25, "fail": 0, "skip": 25, "error": 0, "runtime": "2.98 S", "begin_time": "2023-01-05 17:20:13", "pass_rate": "0.00"}, {"success": 0, "all": 25, "fail": 0, "skip": 25, "error": 0, "runtime": "2.75 S", "begin_time": "2023-01-05 17:22:13", "pass_rate": "0.00"}, {"success": 0, "all": 25, "fail": 0, "skip": 25, "error": 0, "runtime": "2.89 S", "begin_time": "2023-01-05 17:22:38", "pass_rate": "0.00"}, {"success": 0, "all": 25, "fail": 0, "skip": 25, "error": 0, "runtime": "2.90 S", "begin_time": "2023-01-05 17:25:02", "pass_rate": "0.00"}, {"success": 0, "all": 25, "fail": 0, "skip": 25, "error": 0, "runtime": "2.74 S", "begin_time": "2023-01-05 17:26:55", "pass_rate": "0.00"}, {"success": 21, "all": 25, "fail": 4, "skip": 0, "error": 0, "runtime": "12.07 S", "begin_time": "2023-01-05 17:30:24", "pass_rate": "84.00"}, {"success": 21, "all": 25, "fail": 4, "skip": 0, "error": 0, "runtime": "14.75 S", "begin_time": "2023-01-05 17:42:18", "pass_rate": "84.00"}, {"success": 143, "all": 147, "fail": 4, "skip": 0, "error": 0, "runtime": "82.05 S", "begin_time": "2023-01-05 17:49:04", "pass_rate": "97.28"}, {"success": 143, "all": 147, "fail": 4, "skip": 0, "error": 0, "runtime": "89.16 S", "begin_time": "2023-01-06 09:45:18", "pass_rate": "97.28"}, {"success": 143, "all": 147, "fail": 4, "skip": 0, "error": 0, "runtime": "86.08 S", "begin_time": "2023-01-06 09:48:46", "pass_rate": "97.28"}, {"success": 1, "all": 1, "fail": 0, "skip": 0, "error": 0, "runtime": "1.74 S", "begin_time": "2023-01-06 11:14:12", "pass_rate": "100.00"}, {"success": 1, "all": 1, "fail": 0, "skip": 0, "error": 0, "runtime": "1.96 S", "begin_time": "2023-01-06 11:14:56", "pass_rate": "100.00"}, {"success": 136, "all": 151, "fail": 15, "skip": 0, "error": 0, "runtime": "101.48 S", "begin_time": "2023-01-06 13:52:19", "pass_rate": "90.07"}, {"success": 124, "all": 124, "fail": 0, "skip": 0, "error": 0, "runtime": "73.76 S", "begin_time": "2023-01-06 14:18:53", "pass_rate": "100.00"}, {"success": 124, "all": 124, "fail": 0, "skip": 0, "error": 0, "runtime": "74.13 S", "begin_time": "2023-01-06 14:22:35", "pass_rate": "100.00"}, {"success": 123, "all": 123, "fail": 0, "skip": 0, "error": 0, "runtime": "78.92 S", "begin_time": "2023-01-06 14:30:29", "pass_rate": "100.00"}, {"success": 145, "all": 149, "fail": 4, "skip": 0, "error": 0, "runtime": "86.12 S", "begin_time": "2023-01-06 14:43:34", "pass_rate": "97.32"}, {"success": 147, "all": 151, "fail": 4, "skip": 0, "error": 0, "runtime": "93.42 S", "begin_time": "2023-01-06 14:47:07", "pass_rate": "97.35"}, {"success": 147, "all": 151, "fail": 4, "skip": 0, "error": 0, "runtime": "103.07 S", "begin_time": "2023-01-06 17:27:19", "pass_rate": "97.35"}, {"success": 147, "all": 151, "fail": 4, "skip": 0, "error": 0, "runtime": "87.89 S", "begin_time": "2023-01-09 09:41:33", "pass_rate": "97.35"}, {"success": 147, "all": 151, "fail": 4, "skip": 0, "error": 0, "runtime": "84.33 S", "begin_time": "2023-01-09 09:45:02", "pass_rate": "97.35"}, {"success": 147, "all": 151, "fail": 4, "skip": 0, "error": 0, "runtime": "84.31 S", "begin_time": "2023-01-09 10:11:44", "pass_rate": "97.35"}, {"success": 148, "all": 153, "fail": 4, "skip": 0, "error": 1, "runtime": "83.81 S", "begin_time": "2023-01-11 17:40:23", "pass_rate": "96.73"}, {"success": 149, "all": 153, "fail": 4, "skip": 0, "error": 0, "runtime": "81.81 S", "begin_time": "2023-01-11 17:45:08", "pass_rate": "97.39"}, {"success": 149, "all": 153, "fail": 4, "skip": 0, "error": 0, "runtime": "98.96 S", "begin_time": "2023-01-11 18:10:10", "pass_rate": "97.39"}, {"success": 149, "all": 153, "fail": 4, "skip": 0, "error": 0, "runtime": "91.45 S", "begin_time": "2023-01-11 18:13:35", "pass_rate": "97.39"}, {"success": 149, "all": 153, "fail": 4, "skip": 0, "error": 0, "runtime": "92.97 S", "begin_time": "2023-01-12 17:26:07", "pass_rate": "97.39"}]
@@ -41,9 +41,9 @@ runner = TestRunner(suite=suite, @@ -41,9 +41,9 @@ runner = TestRunner(suite=suite,
41 desc=conf.get("report", "desc"), 41 desc=conf.get("report", "desc"),
42 templates=conf.getint("report", "templates") 42 templates=conf.getint("report", "templates")
43 ) 43 )
44 -runner.run() 44 +# runner.run()
45 # 执行失败重新运行机制 45 # 执行失败重新运行机制
46 -# runner.rerun_run(count=3, interval=0.2) 46 +runner.rerun_run(count=3, interval=0.2)
47 47
48 """ 48 """
49 发送钉钉 49 发送钉钉
@@ -13,14 +13,21 @@ import os @@ -13,14 +13,21 @@ import os
13 import unittest 13 import unittest
14 import requests 14 import requests
15 15
  16 +from jsonpath import jsonpath
16 from common.handle_config import conf 17 from common.handle_config import conf
17 from common.handle_excel import Excel 18 from common.handle_excel import Excel
18 from common.handle_log import HandleLog 19 from common.handle_log import HandleLog
19 from common.myddt import ddt, data 20 from common.myddt import ddt, data
20 from common.handle_path import Student_practice 21 from common.handle_path import Student_practice
  22 +from tools.fixture import SelectData
21 from tools.handle_token import StudentLoginToken 23 from tools.handle_token import StudentLoginToken
22 24
23 25
  26 +# ==================小程序学生端==================
  27 +
  28 +# ====================================================================
  29 +# 学生查看全部实习列表
  30 +# ====================================================================
24 @ddt 31 @ddt
25 class Test01SelectAllPractice(unittest.TestCase): 32 class Test01SelectAllPractice(unittest.TestCase):
26 """学生查看全部实习""" 33 """学生查看全部实习"""
@@ -44,6 +51,9 @@ class Test01SelectAllPractice(unittest.TestCase): @@ -44,6 +51,9 @@ class Test01SelectAllPractice(unittest.TestCase):
44 herders["Authorization"] = self.token 51 herders["Authorization"] = self.token
45 request = requests.request(url=url, method=case["method"], params=data, headers=herders) 52 request = requests.request(url=url, method=case["method"], params=data, headers=herders)
46 res = request.json() 53 res = request.json()
  54 + print("用例入参:{}".format(data))
  55 + print("预期结果:", expected)
  56 + print("实际结果:", res)
47 # 断言 57 # 断言
48 try: 58 try:
49 self.assertEqual(expected['msg'], res['msg']) 59 self.assertEqual(expected['msg'], res['msg'])
@@ -59,3 +69,60 @@ class Test01SelectAllPractice(unittest.TestCase): @@ -59,3 +69,60 @@ class Test01SelectAllPractice(unittest.TestCase):
59 # 将创建使用的数据写入到excel表格中 69 # 将创建使用的数据写入到excel表格中
60 self.select_student_practice.write_excel(row=case["id"] + 1, column=9, value=case["data"]) 70 self.select_student_practice.write_excel(row=case["id"] + 1, column=9, value=case["data"])
61 HandleLog.log.info("用例{},执行通过".format(case["title"])) 71 HandleLog.log.info("用例{},执行通过".format(case["title"]))
  72 +
  73 +
  74 +# ====================================================================
  75 +# 学生报名
  76 +# ====================================================================
  77 +@ddt
  78 +class Test02StudentApply(unittest.TestCase):
  79 + """学生查看全部实习"""
  80 + student_apply = Excel(os.path.join(Student_practice, "test_06__practice.xlsx"),
  81 + "student_apply")
  82 + student_apply_case = student_apply.read_excel()
  83 +
  84 + @classmethod
  85 + def setUpClass(cls):
  86 + # 获取登陆token
  87 + cls.token = StudentLoginToken.login_token()
  88 + # 获取全部实习列表id
  89 + select_practice = Excel(os.path.join(Student_practice, "test_06__practice.xlsx"),
  90 + "select_internship_practice")
  91 + read_practice_excel = select_practice.read_excel_location("C2")
  92 + practice_list = SelectData(str(read_practice_excel))
  93 + practice_json = practice_list.student_select_list()
  94 + cls.practiceId = jsonpath(practice_json, "$..id")[0] # 获取小程序全部实习id
  95 +
  96 + @data(*student_apply_case)
  97 + def test01student_apply(self, case):
  98 + # 准备数据
  99 + if "#jobId#" in case["data"]:
  100 + case["data"] = case["data"].replace("#jobId#", str(conf.get("hr", "hr_jobid")))
  101 + data = json.loads(case["data"])
  102 + expected = json.loads(case["expected"])
  103 + if "{id}" in case["url"]:
  104 + case["url"] = case["url"].replace("{id}", str(self.practiceId)) # 小程序全部实习id
  105 + # 调用接口
  106 + url = conf.get("url", "url_ip") + case["url"]
  107 + herders = {}
  108 + herders["Authorization"] = self.token
  109 + request = requests.request(url=url, method=case["method"], json=data, headers=herders)
  110 + res = request.json()
  111 + print("用例入参:{}".format(data))
  112 + print("预期结果:", expected)
  113 + print("实际结果:", res)
  114 + # 断言
  115 + try:
  116 + self.assertEqual(expected['msg'], res['msg'])
  117 + self.assertEqual(expected['code'], res['code'])
  118 + except AssertionError as e:
  119 + # 写入Excel
  120 + self.student_apply.write_excel(row=case["id"] + 1, column=7, value="不通过")
  121 + HandleLog.log.error("用例标题{},不通过".format(case['title']))
  122 + HandleLog.log.exception(e)
  123 + raise e
  124 + else:
  125 + self.student_apply.write_excel(row=case["id"] + 1, column=7, value="通过")
  126 + # 将创建使用的数据写入到excel表格中
  127 + self.student_apply.write_excel(row=case["id"] + 1, column=9, value=case["data"])
  128 + HandleLog.log.info("用例{},执行通过".format(case["title"]))
@@ -14,7 +14,7 @@ import string @@ -14,7 +14,7 @@ import string
14 14
15 import requests 15 import requests
16 from common.handle_config import conf 16 from common.handle_config import conf
17 -from tools.handle_token import LoginToken 17 +from tools.handle_token import LoginToken, StudentLoginToken
18 from common.handle_excel import Excel 18 from common.handle_excel import Excel
19 import os 19 import os
20 import time 20 import time
@@ -49,7 +49,16 @@ class SelectData(object): @@ -49,7 +49,16 @@ class SelectData(object):
49 response = requests.request(url=self.url, method="get", params=data, headers=headers) 49 response = requests.request(url=self.url, method="get", params=data, headers=headers)
50 res = response.json() 50 res = response.json()
51 return res 51 return res
  52 + # 倒序查找返回json
52 53
  54 + def student_select_list(self):
  55 + self.url = conf.get('url', 'url_ip') + self.url
  56 + headers = {}
  57 + headers["Authorization"] = StudentLoginToken.login_token()
  58 + data = self.data
  59 + response = requests.request(url=self.url, method="get", params=data, headers=headers)
  60 + res = response.json()
  61 + return res
53 62
54 # ==================随机生成手机号========== 63 # ==================随机生成手机号==========
55 class RandomPhone: 64 class RandomPhone:
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