ExcelBDD Python指南

在Python里面支持BDD

Excel BDD Tool Specification By ExcelBDD Method

This tool is to get BDD test data from an excel file, its requirement specification is below

The Essential of this approach is obtaining multiple sets of test data, so when combined with Excel's Sheet, the key parameters are:

  1. ExcelFileName, required, which excel file is used.
  2. SheetName, optional, which Sheet the requirement writer writes in, if not specified, 1st sheet is chosen. An Excel file supports multiple Sheets, so an Excel is sufficient to support a wide range, such as Epic, Release, or a module.
  3. HeaderMatcher, filter the header row by this matcher, if matched, this set will be collected in.
  4. HeaderUnmatcher, filter the header row by this matcher, if matched, this set will be excluded.

Once the header row and parameter name column are determined by 'Parameter Name' grid automatically, the data area is determined, such as the green area in the table above. The gray area of the table above is the story step description, which is the general requirements step.

Install ExcelBDD Python Edition

pip install excelbdd

API

behavior.get_example_list

get_example_list(excelFile, sheetName = None, headerMatcher = None, headerUnmatcher = None)

  1. excelFile: excel file path and name, relative or absolute
  2. sheetName: sheet name, optional, default is the first sheet in excel file
  3. HeaderMatcher: filter the header row by this matcher, if matched, this set will be collected in. optional, default is to select all.
  4. HeaderUnmatcher: filter the header row by this matcher, if matched, this set will be excluded. optional, default is to exclude none.

behavior.get_example_table

get_example_table(excelFile,sheetName = None,headerRow = 1,startColumn = 'A')

  1. excelFile: excel file path and name, relative or absolute
  2. sheetName: sheet name, optional, default is the first sheet in excel file
  3. headerRow: the number of header row, optional, default is 1
  4. startColumn: the char of first data area, optional, default is column A in sheet

Simple example code

The Famouse FizzBuzz kata is described in excelbdd format, as below.

复制代码
import pytest
from excelbdd.behavior import get_example_list
import FizzBuzz

excelBDDFile = "path of excel file" 
@pytest.mark.parametrize("HeaderName, Number1, Output1, Number2, Output2, Number3, Output3, Number4, Output4",
                        get_example_list(excelBDDFile,"FizzBuzz"))
def test_FizzBuzz(HeaderName, Number1, Output1, Number2, Output2, Number3, Output3, Number4, Output4):
    assert FizzBuzz.handle(Number1) == Output1
    assert FizzBuzz.handle(Number2) == Output2
    assert FizzBuzz.handle(Number3) == Output3
    assert FizzBuzz.handle(Number4) == Output4

Input vs Expect + Test Result Format - SBT - Specification By Testcase

testcase example is below, which uses headerMatcher to filter the data

复制代码
@pytest.mark.parametrize("HeaderName, ParamName1, ParamName1Expected, ParamName1TestResult, \
                         ParamName2, ParamName2Expected, ParamName2TestResult, ParamName3, \
                         ParamName3Expected, ParamName3TestResult, ParamName4, ParamName4Expected, \
                         ParamName4TestResult",
                        get_example_list(bddFile1, "SBTSheet1","Scenario"))
def test_excelbdd_sbt(HeaderName, ParamName1, ParamName1Expected, ParamName1TestResult, 
                      ParamName2, ParamName2Expected, ParamName2TestResult, ParamName3, 
                      ParamName3Expected, ParamName3TestResult, ParamName4, ParamName4Expected, 
                      ParamName4TestResult):
    print(HeaderName, ParamName1, ParamName1Expected, ParamName1TestResult, 
                      ParamName2, ParamName2Expected, ParamName2TestResult, ParamName3, 
                      ParamName3Expected, ParamName3TestResult, ParamName4, ParamName4Expected, 
                      ParamName4TestResult)
    # add test data are loaded into the above parameters, add test code below

ExcelBDD can detect 3 parameter-header patterns automatically, the last one is below.

Input vs Expected

The demo code is below

复制代码
@pytest.mark.parametrize("HeaderName, ParamName1, ParamName1Expected,  \
                         ParamName2, ParamName2Expected, ParamName3, \
                         ParamName3Expected, ParamName4, ParamName4Expected"
                        get_example_list(bddFile1, "SBTSheet1","Scenario"))
def test_excelbdd_sbt(HeaderName, ParamName1, ParamName1Expected,  
                      ParamName2, ParamName2Expected, ParamName3, 
                      ParamName3Expected, ParamName4, ParamName4Expected):
    print(HeaderName, ParamName1, ParamName1Expected, 
                      ParamName2, ParamName2Expected,  ParamName3, 
                      ParamName3Expected, ParamName4, ParamName4Expected)
    # add test data are loaded into the above parameters, add test code below

Get Table

The test data are organized in normal table, as below.

the below code show how to fetch the test data into testcase

复制代码
from excelbdd.behavior import get_example_table

@pytest.mark.parametrize("Header01, Header02, Header03, Header04, Header05, Header06, Header07, Header08",
                         get_example_table(tableFile, "DataTable4"))
def test_get_example_tableB(Header01, Header02, Header03, Header04, Header05, Header06, Header07, Header08):
    print(Header01, Header02, Header03, Header04, Header05, Header06, Header07, Header08)   
    # add test data are loaded into the above parameters, add test code below

ExcelBDD Python指南线上版维护在ExcelBDD Python Guideline

ExcelBDD开源项目位于 ExcelBDD Homepagehttps://dev.azure.com/simplopen/ExcelBDD

相关推荐
神仙别闹1 小时前
基于 C++ 实现(控制台)学生成绩管理系统
开发语言·c++
Y幽谷客1 小时前
Python加载本地大模型(Qwen3.5 8B)
python·大模型
伞伞悦读2 小时前
【第36期】Python 目录与路径详解:pathlib、文件遍历、创建、复制、移动和删除风险
开发语言·python
线上放牧人2 小时前
Windows删除图标缓存
windows·python·pyqt
qq_5470261792 小时前
Python 变量和简单数据类型
python
智搜广告3 小时前
智搜广告:科技行业AI回答优化公司如何破局
大数据·python·elasticsearch·geo
IpdataCloud4 小时前
AI智能体调用工具怎么核验来源IP?归属地、网络类型与代理风险识别(含Python代码)
数据库·python·tcp/ip
2601_966949654 小时前
只拿到股票代码还不够:量化程序到底还需要哪些标的信息?——从数据建模开始理解股票元数据
开发语言·python·数据分析·pandas·量化交易·股票数据·quantdash
蒸鱼Yuzheng4 小时前
Python 游戏测试开发怎么准备:日志解析、接口校验、并发与可维护性
自动化测试·python·测试开发·面试题·游戏测试
m0_734571765 小时前
深入理解5g <十八>传输块tbsize的计算
开发语言·5g