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r - 依赖注入(inject) : how to use/implement PicoContainer Framework in R

转载 作者:行者123 更新时间:2023-12-02 04:56:16 26 4
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问题

一般问题

您将如何开始实现 PicoContainer-Framework在 R 中?

具体问题

“pico 注册表(机制)”实际上是什么样子的?我想出了一个只适用于单个注册过程的“穷人版本”(参见下面示例中的类 DefaultPicoContainer;此时方法 getComponentInstance() 不t 实际上使用信息 getRefClass("MovieLister") 来查找已注册的组件)


例子

AFAIU,PicoContainer-Framework 没有任何实现在 R 中,所以我考虑了这可能是什么样子。

这是我目前能想到的。它的灵感来自 Martin Fowler's article关于依赖注入(inject)。

1。 业务逻辑层

示例

接口(interface)(类)MovieFinder

setRefClass(
Class="MovieFinder",
contains=c("VIRTUAL"),
methods=list(
findAll=function() {}
)
)

MovieLister

setRefClass(
Class="MovieLister",
fields=list(
finder="MovieFinder"
),
methods=list(
initialize=function(finder=NULL) {
callSuper(finder=finder)
},
moviesDirectedBy=function(arg) {
allMovies <- finder$findAll()
out <- lapply(seq(along=nrow(allMovies)), function(ii) {
movie <- allMovies[ii,]
out <- movie
if (movie$director != arg) {
out <- NULL
}
return(out)
})
out
}
)
)

ColonMovieFinder

setRefClass(
Class="ColonMovieFinder",
contains=c("MovieFinder"), ## Implements the 'MovieFinder' interface
fields=list(
filename="character"
),
methods=list(
initialize=function(filename) {
callSuper(filename=filename)
},
findAll=function() {
read.table(.self$filename)
}
)
)

2。 R中Pico容器框架的适配

ConstantParameter

setRefClass(
Class="ConstantParameter",
fields=list(
para="ANY"
),
methods=list(
initialize=function(para) {
callSuper(para=para)
}
)
)

DefaultPicoContainer

setRefClass(
Class="DefaultPicoContainer",
fields=list(
.class="refObjectGenerator",
.dependency="list"
),
methods=list(
registerComponentImplementation=function(...) {
x <- list(...)
if (length(x) == 1) {
.self$.class <- x[[1]]
} else {
.self$.dependency <- x
}
TRUE
},
getComponentInstance=function(classobj) {
deps <- rev(.self$.dependency)
inst <- NULL
for (ii in 1:length(deps)) {
inst.args <- NULL
if (ii == 1) {
inst.args <- lapply(deps[[ii]], "[[", "para")
inst.gen <- deps[[ii + 1]]
inst <- do.call(inst.gen$new, args=inst.args)
} else if (ii < length(deps)){
inst.gen <- deps[[ii + 1]]

if (!isVirtualClass(Class=inst.gen$className)) {
inst <- do.call(inst.gen$new, args=list(inst))
}
}
}
inst
}
)
)

函数 configurecontainer

configureContainer <- function() {
pico <- new("DefaultPicoContainer")
finderParams <- list(
new("ConstantParameter", "movies1.txt")
)

pico$registerComponentImplementation(
getRefClass("MovieFinder"),
getRefClass("ColonMovieFinder"),
finderParams
)
pico$registerComponentImplementation(
getRefClass("MovieLister")
)
return(pico)
}

3。测试

我使用了单元测试,尽管我知道这个测试实际上超出了纯单元测试的范围。

require("testthat")
test_that(desc="test_testWithPico",
code={

## Example 'movies1.txt' file //
movies <- data.frame(
movie=c("A", "B", "C"),
director=c("Director 1", "Director 2", "Director 3")
)
write.table(x=movies, file="movies1.txt", sep="")

## Create new pre-configured pico container //
pico <- configureContainer()

## Use pico container in Business Logic Layer //
lister <- new("MovieLister",
finder=pico$getComponentInstance(getRefClass("MovieLister"))
)
movies <- lister$moviesDirectedBy("Director 1")

## Assert //
target <- list(data.frame(movie="A", director="Director 1"))
expect_that(
movies,
is_equivalent_to(target)
)

}
)

背景

我开始对 SOLID 着迷了面向对象设计的原则,尤其是概念/原则Inversion of DependencyDependency Injection ,并希望在我的 R 程序中开始关注它们。

非常感谢任何关于如何在 R 中最好地遵循这些原则的指示

最佳答案

到目前为止,这是我对我的具体问题的最佳回答:

DefaultPicoContainer

setRefClass(
Class="DefaultPicoContainer",
fields=list(
.registry="environment",
.buffer="environment"
),
methods=list(
registerComponentImplementation=function(...) {
x <- list(...)
if (length(x) > 1 & length(.self$.buffer)) {
env <- new.env(parent=emptyenv())
env$deps <- x
.self$.buffer <- env
} else {
## Push to registry //
assign(x[[1]], .self$.buffer$deps, envir=.self$.registry)
## Clean buffer //
rm(list="deps", envir=.self$.buffer)
}
TRUE
},
getComponentInstance=function(
name
) {
if (!exists(x=name, envir=.self$.registry)) {
stop(paste0("No dependencies registered for class '", name, "'"))
}
deps <- rev(get(name, envir=.self$.registry))
inst.0 <- NULL
for (ii in 1:length(deps)) {
inst.args <- NULL
if (ii == 1) {
inst.args <- lapply(deps[[ii]], "[[", "para")
inst.class <- deps[[ii + 1]]
if (!isClass(inst.class)) {
stop(paste0("Not a class: '", inst.class, "'"))
}
inst.gen <- getRefClass(inst.class)
inst.0 <- do.call(inst.gen$new, args=inst.args)
} else if (ii < length(deps)){
inst.class <- deps[[ii + 1]]
if (!isClass(inst.class)) {
stop(paste0("Not a class: '", inst.class, "'"))
}
inst.gen <- getRefClass(inst.class)
if (!isVirtualClass(Class=inst.gen$className)) {
inst.0 <- do.call(inst.gen$new, args=list(inst.0))
}
}
}
inst.0
}
)
)

函数configureContainer

configureContainer <- function() {
pico <- new("DefaultPicoContainer2")
finderParams <- list(
new("ConstantParameter", "movies1.txt")
)

pico$registerComponentImplementation(
MovieFinder="MovieFinder",
ColonMovieFinder="ColonMovieFinder",
finderParams
)
pico$registerComponentImplementation("MovieLister")
return(pico)
}

测试

require("testthat")
test_that(desc="test_testWithPico",
code={

pico <- configureContainer()
movies <- data.frame(
movie=c("A", "B", "C"),
director=c("Director 1", "Director 2", "Director 3")
)
write.table(x=movies, file="movies1.txt", sep="")
# movies <- read.table("movies1.txt")

lister <- new("MovieLister",
finder=pico$getComponentInstance("MovieLister")
)

movies <- lister$moviesDirectedBy("Director 1")
target <- list(
data.frame(movie="A", director="Director 1")
)
expect_that(
movies,
is_equivalent_to(target)
)

}
)

关于r - 依赖注入(inject) : how to use/implement PicoContainer Framework in R,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/21940305/

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