作为docs 状态,Feeder 只是Iterator[Map[String, T]] 的别名。您只需要确保您的 feeder 提供 Rüdiger Klaehn 强调的无限的值流。
既然您说您已经能够使用内置的 csv feeder 运行一个示例,那么让我们将其转换为我们自己的 feeder,以便更清楚上述自定义 feeder 代码的作用。
让我们看一下来自advanced tutorial的例子:
object Search {
val feeder = csv("search.csv").random // 1, 2
val search = exec(http("Home")
.get("/"))
.pause(1)
.feed(feeder) // 3
.exec(http("Search")
.get("/computers?f=${searchCriterion}") // 4
.check(css("a:contains('${searchComputerName}')", "href").saveAs("computerURL"))) // 5
.pause(1)
.exec(http("Select")
.get("${computerURL}")) // 6
.pause(1)
}
这是生成提要的部分:
val feeder = csv("search.csv").random // 1, 2
这是search.csv 文件:
searchCriterion,searchComputerName
Macbook,MacBook Pro
eee,ASUS Eee PC 1005PE
让我们用我们的新自定义馈线替换它:
/* This is our list of choices, we won't ready from csv anymore */
val availableComputers = List(
Map("searchCriterion" -> "MacBook", "searchComputerName" -> "Macbook Pro"),
Map("searchCriterion" -> "eee", "searchComputerName" -> "ASUS Eee PC 1005PE")
)
/* Everytime we call this method we get a random member of availableComputers */
def pickARandomComputerInfo() = {
availableComputers(Random.nextInt(availableComputers.size))
}
/* Continually means every time you ask feeder for a new input entry,
it will call pickARandomComputerInfo to gerenate an input for you.
So iterating over feeder will never end, you will always get
something */
val feeder = Iterator.continually(pickARandomComputerInfo)
这在您提供的示例中很难看到,但您可以将其拆分以更好地理解它:
def getRandomEmailInfo() = Map("email" -> random.nextString(20) + "@foo.com")
val feeder = Iterator.continually(getRandomEmailInfo)