从下载的文件中提取源元数据

Extract source metadata from downloaded file

我下载了一堆 pdf 文件。现在我想从文件的元数据中提取下载 url。我如何以编程方式执行此操作?我更喜欢 R 中的解决方案,我正在使用 MacOS Mojave。

如果你想复制你可以 [use this file]

我尝试在 Ask Different 中搜索从 Terminal.app 命令行模拟选择 "Get Info" 的方法。

我找到了使用命令 mdls 的建议,我从 R system-调用中得到了这个:

system("mdls -name kMDItemWhereFroms ~/0.-miljoenennota.pdf")

#kMDItemWhereFroms = (
#   "https://www.rijksoverheid.nl/binaries/rijksoverheid/documenten/begrotingen/2016/09/20/miljoenennota-2017/0.-miljoenennota.pdf",
#    ""
#)

要将多行结果输入 R(而不是仅仅出现在控制台),您需要将 intern=TRUE 参数添加到 system 调用:

> res <- system("mdls -name kMDItemWhereFroms ~/0.-miljoenennota.pdf", intern=TRUE)
> res
[1] "kMDItemWhereFroms = ("                                                                                                                 
[2] "    \"https://www.rijksoverheid.nl/binaries/rijksoverheid/documenten/begrotingen/2016/09/20/miljoenennota-2017/0.-miljoenennota.pdf\","
[3] "    \"\""                                                                                                                              
[4] ")"                                                                                                                                     
> res[2]
[1] "    \"https://www.rijksoverheid.nl/binaries/rijksoverheid/documenten/begrotingen/2016/09/20/miljoenennota-2017/0.-miljoenennota.pdf\","

获取所有属性:

system("mdls ~/0.-miljoenennota.pdf")

#-----------
_kMDItemOwnerUserID            = 501
kMDItemAuthors                 = (
    "Tweede Kamer der Staten-Generaal"
)
kMDItemContentCreationDate     = 2018-10-08 23:45:35 +0000
kMDItemContentModificationDate = 2018-10-08 23:45:46 +0000
kMDItemContentType             = "com.adobe.pdf"
kMDItemContentTypeTree         = (
    "com.adobe.pdf",
    "public.data",
    "public.item",
    "public.composite-content",
    "public.content"
)
kMDItemCreator                 = "XPP"
kMDItemDateAdded               = 2018-10-08 23:45:46 +0000
kMDItemDisplayName             = "0.-miljoenennota.pdf"
kMDItemEncodingApplications    = (
    "Acrobat Distiller Server 8.1.0 (Pentium Linux, Built: 2007-09-07)"
)
kMDItemFSContentChangeDate     = 2018-10-08 23:45:46 +0000
kMDItemFSCreationDate          = 2018-10-08 23:45:35 +0000
kMDItemFSCreatorCode           = ""
kMDItemFSFinderFlags           = 0
kMDItemFSHasCustomIcon         = (null)
kMDItemFSInvisible             = 0
kMDItemFSIsExtensionHidden     = 0
kMDItemFSIsStationery          = (null)
kMDItemFSLabel                 = 0
kMDItemFSName                  = "0.-miljoenennota.pdf"
kMDItemFSNodeCount             = (null)
kMDItemFSOwnerGroupID          = 20
kMDItemFSOwnerUserID           = 501
kMDItemFSSize                  = 4004668
kMDItemFSTypeCode              = ""
kMDItemKind                    = "Portable Document Format (PDF)"
kMDItemLogicalSize             = 4004668
kMDItemNumberOfPages           = 196
kMDItemPageHeight              = 841.89
kMDItemPageWidth               = 595.276
kMDItemPhysicalSize            = 4005888
kMDItemSecurityMethod          = "None"
kMDItemVersion                 = "1.6"
kMDItemWhereFroms              = (
    "https://www.rijksoverheid.nl/binaries/rijksoverheid/documenten/begrotingen/2016/09/20/miljoenennota-2017/0.-miljoenennota.pdf",
    ""
)

我还能够得到 "metadata" 的不同定义:

install.packages("tabulizer", dependencies=TRUE)
tabulizer::extract_metadata("~/0.-miljoenennota.pdf")
#---------
$pages
[1] 196

$title
NULL

$author
[1] "Tweede Kamer der Staten-Generaal"

$subject
[1] ""

$keywords
[1] ""

$creator
[1] "XPP"

$producer
[1] "Acrobat Distiller Server 8.1.0 (Pentium Linux, Built: 2007-09-07)"

$created
[1] "Thu Sep 15 05:11:50 PDT 2016"

$modified
[1] "Thu Sep 15 05:34:06 PDT 2016"

$trapped
NULL

虽然您可以通过使用 R 以编程方式下载 PDF 来避免此需求,但我们可以使用 xattrs 包来获取您要查找的数据:

library(xattrs) # https://gitlab.com/hrbrmstr/xattrs (not on CRAN)

让我们看看这个文件有哪些扩展属性:

xattrs::list_xattrs("~/Downloads/0.-miljoenennota.pdf")
## [1] "com.apple.metadata:kMDItemWhereFroms"
## [2] "com.apple.quarantine" 

com.apple.metadata:kMDItemWhereFroms 看起来是个不错的目标:

xattrs::get_xattr(
  path = "~/Downloads/forso/0.-miljoenennota.pdf",
  name = "com.apple.metadata:kMDItemWhereFroms"
) -> from_where

from_where
## [1] "bplist00\xa2[=12=]1[=12=]2_0}https://www.rijksoverheid.nl/binaries/rijksoverheid/documenten/begrotingen/2016/09/20/miljoenennota-2017/0.-miljoenennota.pdfP\b\v\x8b"

但是,它是二进制 plist 格式的(yay Apple #sigh)。但是,因为那是 "a thing",所以 xattrs 包有一个 read_bplist() 函数,但我们必须使用 get_xattr_raw() 才能使用它:

xattrs::read_bplist(
  xattrs::get_xattr_raw(
    path = "~/Downloads/forso/0.-miljoenennota.pdf",
    name = "com.apple.metadata:kMDItemWhereFroms"
  )
) -> from_where

str(from_where)
## List of 1
##  $ plist:List of 1
##   ..$ array:List of 2
##   .. ..$ string:List of 1
##   .. .. ..$ : chr "https://www.rijksoverheid.nl/binaries/rijksoverheid/documenten/begrotingen/2016/09/20/miljoenennota-2017/0.-miljoenennota.pdf"
##   .. ..$ string: list()
##   ..- attr(*, "version")= chr "1.0"

丑陋的嵌套列表是真正愚蠢的二进制 plist 文件格式的错误,但来源 URL 就在那里。

我们可以通过使用 lapply 以这种方式获得所有这些文件(我为此将一堆随机交互式下载的 PDF 扔到一个目录中)。还有一个 in this blog post 的示例,但它使用 reticulate 和 Python 包来读取二进制 plist 数据,而不是内置包函数来执行此操作(内置包函数是 macOS plutil 实用程序或 linux plistutil 实用程序的包装器;Windows 用户如果想使用该功能,可以切换到真实的操作系统)。

fils <- list.files("~/Downloads/forso", pattern = "\.pdf", full.names = TRUE)

do.call(
  rbind.data.frame,
  lapply(fils, function(.x) {

    xattrs::read_bplist(
      xattrs::get_xattr_raw(
        path = .x,
        name = "com.apple.metadata:kMDItemWhereFroms"
      )
    ) -> tmp

    from_where <- if (length(tmp$plist$array$string) > 0) {
      tmp$plist$array$string[[1]]
    } else {
      NA_character_
    }

    data.frame(
      fil = basename(.x),
      url = from_where,
      stringsAsFactors=FALSE
    )

  })
) -> files_with_meta

str(files_with_meta)
## 'data.frame': 9 obs. of  2 variables:
##  $ fil: chr  "0.-miljoenennota.pdf" "19180242-D02E-47AC-BDB3-73C22D6E1FDB.pdf" "Codebook.pdf" "Elementary-Lunch-Menu.pdf" ...
##  $ url: chr  "https://www.rijksoverheid.nl/binaries/rijksoverheid/documenten/begrotingen/2016/09/20/miljoenennota-2017/0.-miljoenennota.pdf" "http://eprint.ncl.ac.uk/file_store/production/230123/19180242-D02E-47AC-BDB3-73C22D6E1FDB.pdf" "http://apps.start.umd.edu/gtd/downloads/dataset/Codebook.pdf" "http://www.msad60.org/wp-content/uploads/2017/01/Elementary-February-Lunch-Menu.pdf" ...

注意:IRL 你应该在示例中做更多的防弹工作 lapply