如何在Python Behave中将CSV作为表导入？

Question

我有一个像blow的特征文件。如何导入.csv文件来替换示例中的表？

Scenario Outline: Blenders
   Given I put <thing> in a blender,
    when I switch the blender on
    then it should transform into <other thing>

 Examples: Amphibians
   | thing         | other thing |
   | Red Tree Frog | mush        |

 Examples: Consumer Electronics
   | thing         | other thing |
   | iPhone        | toxic waste |
   | Galaxy Nexus  | toxic waste |

Answer 1

如here所述，尚不支持表导入。

但根据jenisys在同一篇文章中的回应，它很快就会推出。

Answer 2

暂不支持表导入，但可以创建helper方法。

x.feature文件：

Feature: csv file

@dynamic
Scenario Outline: Load data from csv
  Then just print <username> <email> <password>
    Examples: Dynamic
      | username | email |  password |
      |    .     |   .   |      .    |

Step文件(steps/step_file.py)：

from behave import step


@step('just print {username} {email} {password}')
def step_impl(context, username, email, password):
    print(username, email, password)

environment.py文件：

from behave.model import ScenarioOutline
import copy
import csv


def before_feature(context, feature):
    features = (scenario for scenario in feature.scenarios if type(scenario) == ScenarioOutline and 'dynamic' in scenario.tags)
    for scenario in features:
        for example in scenario.examples: 
            orig = copy.deepcopy(example.table.rows[0])
            example.table.rows = []
            with open('test.json') as csv_file:
                csv_reader = csv.reader(csv_file, delimiter=',')
                for row in csv_reader:
                    n = copy.deepcopy(orig)
                    n.cells = ['{}'.format(row[0]), '{}'.format(row[1]), '{}'.format(row[2])]
                    example.table.rows.append(n)

test.json文件：

andrew,testemail1@example.com,1235aaa
mike,testemail1@example.com,1234bbb

结果是：

behave -i tutorial.feature
Feature: csv file # features/tutorial.feature:1

  @dynamic
  Scenario Outline: Load data from csv -- @1.1 Dynamic     # features/tutorial.feature:8
    Then just print andrew  testemail1@example.com 1235aaa # features/steps/step_test.py:4 0.000s

  @dynamic
  Scenario Outline: Load data from csv -- @1.2 Dynamic    # features/tutorial.feature:8
    Then just print marina testemail1@example.com 1234bbb # features/steps/step_test.py:4 0.000s

1 feature passed, 0 failed, 0 skipped
2 scenarios passed, 0 failed, 0 skipped
2 steps passed, 0 failed, 0 skipped, 0 undefined
Took 0m0.000s