Tal*_*ili 7 api r google-docs revision-history
我希望使用R下载和分析我的某个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.
我看到已经有一些方法可以使用R访问谷歌文档.
有没有人事先知道(在我开始尝试破解我的方式之前),是否或如何(合理地容易)完成?
谢谢.
该googledrive软件包包含一些可用于此目的的低级 API 函数。例如,我们可以通过以下方式获取一个 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)
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结果包括每个修订版的日期、时间、执行修订版的用户的姓名以及将该修订版导出到下载文件的 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>
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然后,我们可以遍历导出 URL 以下载所有修订版,并比较大小或字数或其他任何内容,最终得到一些像这样的图:


这些图的完整代码在这里:https : //gist.github.com/benmarwick/1feaa2b2f0d7bc5f7e97903b8ff92aed
请注意,通过 API 提供的 Google Drive 修订历史有一些严重的限制。例如,
Google文档列表 API使您可以访问修订列表、每个修订的内容、确保存储给定更新的修订的方法等。
修订列表可能会为您提供所需的内容,但您需要更具体地了解您想要的统计数据。请注意,关于谁进行了什么更改的历史数据似乎有点不完整 - 请参阅修订历史记录的 API 问题 - Google 文档列表 API | 谷歌网上论坛
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