Pytest Bdd 在给定条件下从 Gherkin 获取表值

问题描述

Scenario Outline: scenario sample
Given the following datasource details are given
  | dataSet      |  startDate   | endDate   |
  | <dataSource> | <startDate> | <endDate> |
When the user wants to "<tool>"
Then usage count is "<expectedUsageCount>"
 Examples:
  |dataSet | startDate           |endDate              |tool               | expectedUsageCount|                 
  |dataSet1| 11/9/2018,10:31 AM |  11/9/2020,10:31 AM| ToolName_8        |              123 |  
  |dataSet2|  11/9/2020,10:31 AM|11/9/2022,10:31 AM  |ToolName_17         | 345             |  

我曾尝试将 Pytest bdd 用于上述 senario 大纲。我想问的是如何使用给定的表？

??

> @given(parsers.parse('the following datasource details are given\n{attr_table}'))  
def selectDataSource(datatable,attr_table):
    ??

如何获取我感到困惑的数据集、开始日期、结束日期表值？？

解决方法

一种方法是将特征文件中的表数据加载为json。 将表数据存储在一个命名元组中以便于访问。 将给定的步骤定义为 target_fixture，以便其他步骤可以声明和使用表数据。 用 Python 3.7.5 测试，pytest-6.2.4，'bdd': '4.0.2'

  @loadtable
  Scenario: Load Table Data
    Given Load table data as json
      [
        ["Name","Type","IP_Address","Mask","Distance"],["Name1","http","171.21.1.11","171/24","101"   ],["Name2","https","172.20.2.22","173/24","102"   ]
      ]
    Then Use the table data


@given(parsers.parse('Load table data as json\n{table_data:json}',extra_types=dict(json=json.loads)),target_fixture="mytabledata")
def step_load_table_data(table_data):
    MyTableData = namedtuple("MyTableData",table_data[0])
    data = [MyTableData._make(d) for d in table_data]
    return data


@then('Use the table data')
def step_use_table_data(mytabledata):
    print(f"mytabledata {pformat(mytabledata)}")


❯ pytest -v -s -m loadtable
>>>>> no number of cores provided or running in environment unsupportive of parallelized testing,not running multiprocessing <<<<<
================================================================================= test session starts ==================================================================================
platform darwin -- Python 3.7.5,pytest-6.2.4,py-1.10.0,pluggy-0.13.1 -- /Users/kwong/venv/pytests/bin/python
cachedir: .pytest_cache
benchmark: 3.4.1 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)
metadata: {'Python': '3.7.5','Platform': 'Darwin-19.6.0-x86_64-i386-64bit','Packages': {'pytest': '6.2.4','py': '1.10.0','pluggy': '0.13.1'},'Plugins': {'benchmark': '3.4.1','cov': '2.12.0','bdd': '4.0.2','flaky': '3.7.0','html': '3.1.1','mproc': '4.1.0','xdist': '2.2.1','metadata': '1.11.0','forked': '1.3.0','testmon': '1.1.1'}}
rootdir: /Users/kwong/testing/saas/kennethsaas2/tests,configfile: pytest.ini
plugins: benchmark-3.4.1,cov-2.12.0,bdd-4.0.2,flaky-3.7.0,html-3.1.1,mproc-4.1.0,xdist-2.2.1,metadata-1.11.0,forked-1.3.0,testmon-1.1.1
collected 12 items / 11 deselected / 1 selected

step_defs/v2api/test_v2api.py::test_load_table_data mytabledata [MyTableData(Name='Name',Type='Type',IP_Address='IP_Address',Mask='Mask',Distance='Distance'),MyTableData(Name='Name1',Type='http',IP_Address='171.21.1.11',Mask='171/24',Distance='101'),MyTableData(Name='Name2',Type='https',IP_Address='172.20.2.22',Mask='173/24',Distance='102')]
PASSED

=========================================================================== 1 passed,11 deselected in 0.08s ===========================================================================