我希望使用R下载并分析我的某个Google文档的修订历史记录,找出有多少编辑对其进行的统计信息。
我发现已经some ways for使用R <。
访问了Google文档是否有人事先知道(在我开始之前尝试破解我的方式),是否或如何(合理地容易)完成?
感谢。
答案 0 :(得分:4)
Google Documents List API使您可以访问修订列表,每个修订的内容,确保为给定更新存储修订的方法等。
修订列表可能会为您提供所需内容,但您需要更具体地了解所需的统计信息。请注意,关于谁进行了哪些更改的历史数据似乎有点不完整 - 请参阅API problems with revision history - Google Documents List API | Google Groups
答案 1 :(得分:3)
googledrive
包中包含一些可用于此目的的低级API函数。例如,以下是我们如何获取一个Google文档的修订列表:
library(googledrive)
library(tidyverse)
# replace this with the ID of your google doc
# this doc is private, it wont work for you
fileId <- "1s0CPFXnMQjZNts6gYAnkcGXGSAgugTupzMf8YeoCbps"
# Get the name of the file and some other metadata
file <- build_request(
path = "drive/v3/files/{fileId}",
method = "GET",
params = list(
fileId = fileId,
fields = "*"
),
token = drive_token()
)
file_ret <- process_response(make_request(file))
# Now for this doc, query the Drive API to get get URLs and other meta-data for all the revisions available to us
req2 <- build_request(
path = "drive/v2/files/{fileId}/revisions",
method = "GET",
params = list(
fileId = fileId
),
token = drive_token()
)
revs2 <- process_response(make_request(req2))
# See
# https://developers.google.com/drive/api/v2/reference/revisions#resource
# for an explanation of each variable that we have here
# tidy revisions into a dataframe
revs2_df <-
map_df(
revs2$items,
`[`,
c(
"kind",
"etag" ,
"id",
"selfLink" ,
"mimeType" ,
"modifiedDate",
"published" ,
"lastModifyingUserName"
)
)
# get exportLinks URLs out of its nest
revs2_export_url <- map_df(revs2$items, "exportLinks")
# bind together
revs2_df_bind <- bind_cols(revs2_df, revs2_export_url)
对于每个修订,结果包括执行修订的用户的日期,时间,名称以及将该修订导出到下载文件的URL:
# A tibble: 140 x 16
kind etag id selfLink mimeType modifiedDate published lastModifyingUs… `application/rt…
<chr> <chr> <chr> <chr> <chr> <chr> <lgl> <chr> <chr>
1 drive… "\"H… 28367 https:/… applica… 2017-09-12T… FALSE Gayoung Park https://docs.go…
2 drive… "\"H… 28487 https:/… applica… 2017-09-12T… FALSE Gayoung Park https://docs.go…
3 drive… "\"H… 28862 https:/… applica… 2017-09-13T… FALSE Gayoung Park https://docs.go…
4 drive… "\"H… 29221 https:/… applica… 2017-09-13T… FALSE Gayoung Park https://docs.go…
5 drive… "\"H… 29258 https:/… applica… 2017-09-13T… FALSE Gayoung Park https://docs.go…
6 drive… "\"H… 29434 https:/… applica… 2017-09-13T… FALSE Gayoung Park https://docs.go…
7 drive… "\"H… 29454 https:/… applica… 2017-09-18T… FALSE Gayoung Park https://docs.go…
8 drive… "\"H… 29603 https:/… applica… 2017-09-18T… FALSE Gayoung Park https://docs.go…
9 drive… "\"H… 30108 https:/… applica… 2017-09-18T… FALSE Gayoung Park https://docs.go…
10 drive… "\"H… 30115 https:/… applica… 2017-09-21T… FALSE Gayoung Park https://docs.go…
# ... with 130 more rows, and 7 more variables: `application/vnd.oasis.opendocument.text` <chr>,
# `text/html` <chr>, `application/pdf` <chr>, `application/epub+zip` <chr>,
# `application/zip` <chr>,
# `application/vnd.openxmlformats-officedocument.wordprocessingml.document` <chr>,
# `text/plain` <chr>
然后我们可以遍历导出URL以下载所有修订版本,并比较大小或字数或其他任何内容,并最终得到一些这样的图:
这些图的完整代码位于:https://gist.github.com/benmarwick/1feaa2b2f0d7bc5f7e97903b8ff92aed
请注意,通过API提供的Google云端硬盘修订历史存在严重限制。例如,