首页 \ 问答 \ 在我的testNG集成测试中,我可以多次使用@factory(使用Jenkins和Maven进行构建)?(In my testNG integration tests can I use @factory more than once (using Jenkins and Maven for my builds)?)

在我的testNG集成测试中,我可以多次使用@factory(使用Jenkins和Maven进行构建)?(In my testNG integration tests can I use @factory more than once (using Jenkins and Maven for my builds)?)

什么 - 详细步骤

  1. 我的测试调用第三方API并发送新事务请求(假设我需要对由@Factory生成的5个测试执行此操作)。 这些测试以“待定”状态结束。

  2. 第三方API需要5分钟来处理数据。 我需要在5分钟后(对于所有挂起的测试)再次调用API以获取我的请求的事务ID,然后通过/不通过测试。

  3. 我想在这里启动另一个@Factory来重新生成所有Pending测试。 这些挂起的测试再次调用API(使用不同的输入)来获取事务ID,并根据此信息通过/失败测试。

怎么样

我试图使用@Factory动态生成一堆测试并运行它们。 运行这些测试后,我想再次使用@Factory生成第二批新测试并运行它们。 问题是,我第二次尝试调用@Factory时没有成功。

我在我的设置中使用Jenkins和Maven来生成构建,这就是我希望测试运行的时候。

问题

第3步可能吗?

有一个更好的方法吗?

感谢大家!


What - Detailed Steps

  1. My test calls a 3rd party API and sends a request for a new transaction (let's say I need to do this for 5 tests which were generated by @Factory). These tests end here with the status of 'Pending'.

  2. The 3rd party API takes 5 minutes to process the data. I need to make a second call to the API after 5 minutes (for all my pending tests) to get the transaction ID for my request and then pass/fail the test.

  3. I want to spin up another @Factory here to re-generate all the Pending tests. These pending tests call the API again (with different inputs) to get the transaction ID and pass/fail the test based on this info.

How

I am trying to use @Factory to generate a bunch of tests dynamically and run them. After these tests are run I want to use @Factory again to generate a second batch of new tests and run them. The problem is, I did not have success when trying to call @Factory for the second time.

I am using Jenkins and Maven in my setup for generating builds and that is when I would want the tests to run.

Questions

Is step 3 possible?

Is there a better way to do this?

Thanks everyone!


原文:https://stackoverflow.com/questions/33360010
更新时间:2024-03-13 10:03

最满意答案

我认为这适用于您想要的,为您的动态输出创建选项卡。 面板的顺序需要重新排列,数据帧被拉入无功元素:

Server.R

library(shiny)
library(dplyr)
# Define server logic
function(input, output) {

# Reactive expression to compose a data frame containing all of
# the values
selection_gear <- reactive({
x.gear=filter(mtcars, cyl == input$dynamic)
x.table=table(x.gear$gear)
x.vs=sum(x.gear$vs)
# Compose tab "Gear" data frame
data.frame(
  Name = c(unique(x.gear$gear),
           "vs"),
  Value = as.character(
    c(x.table, 
        x.vs), 
  stringsAsFactors=FALSE))
})
selection_carb <- reactive({
y.carb=filter(mtcars, cyl == input$dynamic)
y.table=table(y.carb$carb)
y.am=sum(y.carb$am)
# Compose tab "Carb" data frame    
data.frame(
  Name = c(unique(y.carb$carb),
           "am"),
  Value = as.character(c(y.table,
                         y.am),
  stringAsFactor=FALSE))
})

# Show the values of the "Gear" data frame using an HTML table
output$Gear <- renderTable({
selection_gear()
})

# Show the values of the "Carb" data frame using an HTML table
output$Carb <- renderTable({
selection_carb()
})
}

ui.R

library(shiny)

shinyUI(navbarPage("MTCARS",
        tabsetPanel(
            tabPanel("Sélection",
                radioButtons("dynamic", label = "Cars",
                choices = list("4 cylinders" = 4, "6 cylinders" = 6,
                    "8 cylinders" = 8))),
                tabPanel("Gear",
                    tableOutput("Gear")
                ),
                tabPanel("Carb",
                    tableOutput("Carb")
                )
            )
        )
    )

I think this works for what you want, creating the tabs for your dynamic output. The order of the panels needed to be re-arranged and the data frames pulled into reactive elements:

Server.R:

library(shiny)
library(dplyr)
# Define server logic
function(input, output) {

# Reactive expression to compose a data frame containing all of
# the values
selection_gear <- reactive({
x.gear=filter(mtcars, cyl == input$dynamic)
x.table=table(x.gear$gear)
x.vs=sum(x.gear$vs)
# Compose tab "Gear" data frame
data.frame(
  Name = c(unique(x.gear$gear),
           "vs"),
  Value = as.character(
    c(x.table, 
        x.vs), 
  stringsAsFactors=FALSE))
})
selection_carb <- reactive({
y.carb=filter(mtcars, cyl == input$dynamic)
y.table=table(y.carb$carb)
y.am=sum(y.carb$am)
# Compose tab "Carb" data frame    
data.frame(
  Name = c(unique(y.carb$carb),
           "am"),
  Value = as.character(c(y.table,
                         y.am),
  stringAsFactor=FALSE))
})

# Show the values of the "Gear" data frame using an HTML table
output$Gear <- renderTable({
selection_gear()
})

# Show the values of the "Carb" data frame using an HTML table
output$Carb <- renderTable({
selection_carb()
})
}

ui.R:

library(shiny)

shinyUI(navbarPage("MTCARS",
        tabsetPanel(
            tabPanel("Sélection",
                radioButtons("dynamic", label = "Cars",
                choices = list("4 cylinders" = 4, "6 cylinders" = 6,
                    "8 cylinders" = 8))),
                tabPanel("Gear",
                    tableOutput("Gear")
                ),
                tabPanel("Carb",
                    tableOutput("Carb")
                )
            )
        )
    )

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