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First CRAN release
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commit b8d140c7f0ef0fab3ed9c974c1fd370f4d9db335
Author: Lincoln Mullen <lincoln@lincolnmullen.com>
Date:   Tue Mar 24 18:15:23 2015 -0400

    More cran notes

commit 9f63e935c20b1564d29154a6542823bfb16e7f94
Author: Lincoln Mullen <lincoln@lincolnmullen.com>
Date:   Tue Mar 24 17:59:21 2015 -0400

    CRAN resubmission

commit 766cb2c7b34db0dba75303d7e68d5764991da73b
Author: Lincoln Mullen <lincoln@lincolnmullen.com>
Date:   Tue Mar 24 17:59:09 2015 -0400

    Fix failing test

commit 3f602fe0b09fe03070483a484c01d2cebf976705
Author: Lincoln Mullen <lincoln@lincolnmullen.com>
Date:   Tue Mar 24 17:57:03 2015 -0400

    Lose md extension for NEWS

commit 1df6b76feae20c70534869ab4ee1f1b38ea17498
Author: Lincoln Mullen <lincoln@lincolnmullen.com>
Date:   Tue Mar 24 14:45:13 2015 -0400

    Update news

commit f6ac1435e11fae31b5449fc571bb69b304b3be3c
Author: Lincoln Mullen <lincoln@lincolnmullen.com>
Date:   Tue Mar 24 14:41:55 2015 -0400

    Update description

commit b8d838b34c31d18cf18d6c5425f51a480dba1ee4
Author: Lincoln Mullen <lincoln@lincolnmullen.com>
Date:   Tue Mar 24 14:39:32 2015 -0400

    CRAN comments

commit 6641b15526b0302b310e74dab9e1543d085e55b5
Author: Lincoln Mullen <lincoln@lincolnmullen.com>
Date:   Tue Mar 24 12:01:49 2015 -0400

    Smaller readme

commit 10894c776ff9ba3610a73bbb158b5178cb58eea0
Author: Lincoln Mullen <lincoln@lincolnmullen.com>
Date:   Tue Mar 24 12:01:28 2015 -0400

    Run fewer examples

commit 5c6190f18b51ac1acf4e1e33c81c5b03d6d17278
Author: Lincoln Mullen <lincoln@lincolnmullen.com>
Date:   Tue Mar 24 10:23:34 2015 -0400

    Run fewer examples

commit fdd9450e8cabad5e949d61dd5896307d38c23d5c
Author: Lincoln Mullen <lincoln@lincolnmullen.com>
Date:   Tue Mar 24 10:23:27 2015 -0400

    Run fewer examples

commit ad94034dca87307a8a237d41e1f179e65d78ddbc
Author: Lincoln Mullen <lincoln@lincolnmullen.com>
Date:   Tue Mar 24 10:20:29 2015 -0400

    Make everything run faster

commit a2cf8679c33e0871929a9098d26b7e4d41f64f53
Author: Lincoln Mullen <lincoln@lincolnmullen.com>
Date:   Tue Mar 24 10:17:49 2015 -0400

    Check timings

commit 2757455682748f3bade8de593fc394d93e55a283
Author: Lincoln Mullen <lincoln@lincolnmullen.com>
Date:   Tue Mar 24 09:46:56 2015 -0400

    dplyr from binary

commit 64a879c5a31c50af5942c42980e43ae23e6569ec
Author: Lincoln Mullen <lincoln@lincolnmullen.com>
Date:   Tue Mar 24 09:45:46 2015 -0400

    Remove skip on CRAN: errors on Travis
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1 change: 1 addition & 0 deletions .Rbuildignore
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Expand Up @@ -4,3 +4,4 @@
^\.travis\.yml$
^README\.Rmd$
^README-*\.png$
^cran-comments\.md$
5 changes: 5 additions & 0 deletions .travis.yml
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@@ -1,6 +1,11 @@
language: r
warnings_are_errors: true

r_check_args: "--as-cran --timings"

r_binary_packages:
- dplyr

notifications:
email:
on_success: change
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2 changes: 1 addition & 1 deletion DESCRIPTION
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@@ -1,7 +1,7 @@
Package: internetarchive
Type: Package
Title: An API Client for the Internet Archive
Description: Search the Internet Archive by any metadata field and download
Description: Search the Internet Archive, retrieve metadata, and download
files.
Version: 0.1.2
Authors@R: c(person("Lincoln", "Mullen",
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6 changes: 3 additions & 3 deletions NEWS
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@@ -1,9 +1,9 @@
# internetarchive v0.1.2
# internetarchive 0.1.2

- First CRAN release
- Tests and minor bugfixes

# internetarchive v0.1.1
# internetarchive 0.1.1

- First public release on GitHub with rOpenSci
- Functions for searching, downloading, metadata
- Functions for searching, downloading, metadata
2 changes: 2 additions & 0 deletions R/ia_download.R
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Expand Up @@ -17,6 +17,7 @@
#' @param silence If false, print the item IDs as they are downloaded.
#' @return A data frame including the file names of the downloaded files.
#' @examples
#' \dontrun{
#' if(require(dplyr)) {
#' dir <- tempdir()
#' ia_get_items("thedamnationofth00133gut") %>%
Expand All @@ -26,6 +27,7 @@
#' slice(1) %>%
#' ia_download(dir = dir, extended_name = FALSE)
#' }
#' }
#' @export
ia_download <- function(files, dir = ".", extended_name = TRUE,
overwrite = FALSE, silence = FALSE) {
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2 changes: 2 additions & 0 deletions R/ia_files.R
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Expand Up @@ -3,11 +3,13 @@
#' the API.
#' @return A list containing the files as a list of character vectors.
#' @examples
#' \dontrun{
#' ats_query <- c("publisher" = "american tract society")
#' ids <- ia_search(ats_query, num_results = 3)
#' items <- ia_get_items(ids)
#' files <- ia_files(items)
#' files
#' }
#' @export
ia_files <- function(items) {
files_to_data_frame <- function(i) {
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2 changes: 2 additions & 0 deletions R/ia_get_item.R
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Expand Up @@ -7,11 +7,13 @@
#' @return A list containing the metadata returned by the API. List names
#' correspond to the item IDs.
#' @examples
#' \dontrun{
#' ia_get_items("thedamnationofth00133gut")
#'
#' ats_query <- c("publisher" = "american tract society")
#' ids <- ia_search(ats_query, num_results = 2)
#' ia_get_items(ids)
#' }
#' @export
ia_get_items <- function(item_id, silence = FALSE) {
path <- paste("details", item_id, sep = "/")
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12 changes: 5 additions & 7 deletions README.Rmd
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Expand Up @@ -34,21 +34,19 @@ Then load the package. We will also use [dplyr](https://github.com/hadley/dplyr)

```{r}
library("internetarchive")
library("dplyr")
library("dplyr", warn.conflicts = FALSE)
```

## Basic search and browse

The simplest way to search the Internet Archive is to use a keyword search. The following function searches for these keywords in the most important metadata fields, and returns a list of item identifiers.


```{r}
ia_keyword_search("isaac hecker")
```

You can pass an item identifier to the `ia_browse()` function to open an item in your browser. If you pass this function multiple identifiers, it will open only the first one.


```{r, eval=FALSE}
ia_browse("TheLifeOfFatherHecker")
```
Expand Down Expand Up @@ -83,22 +81,22 @@ Once you have retrieved a list of items, you can retrieve their metadata and the
To get a single item's metadata, you can pass its identifier to the `ia_get_items()` function.


```{r}
```{r, eval=FALSE}
hecker <- ia_get_items("TheLifeOfFatherHecker")
```

The result is a list where the names of items in the list are the item identifiers, and the rest of the list is the metadata. This nested list can be difficult to work with, so the `ia_metadata()` returns a data frame of the metadata, and `ia_files()` returns a data frame of the files associated with the item.


```{r}
```{r, eval=FALSE}
ia_metadata(hecker)
ia_files(hecker)
```

These functions can also retrieve the information for multiple items when used in a pipeline. Here we search for all the items about Hecker, retrieve their metadata, and turn it into a data frame. We then filter the data frame to get only the titles.


```{r}
```{r, eval=FALSE}
ia_keyword_search("isaac hecker", num_results = 20) %>%
ia_get_items() %>%
ia_metadata() %>%
Expand All @@ -111,7 +109,7 @@ ia_keyword_search("isaac hecker", num_results = 20) %>%
The `ia_download()` function will download all the files in a data frame returned from `ia_files()`. This function should be used with caution, and you should first filter the data frame to download only the files that you wish. In the following example, we retrieve a list of all the files associated with items published by the American Tract Society in 1864. Then we filter the list so we get only text files, then we pick only the first text file associated with each item. Finally we download the files to a directory we specify (in this case, a temporary directory).


```{r}
```{r eval=FALSE}
dir <- tempdir()
ia_search(ats_query) %>%
ia_get_items() %>%
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102 changes: 1 addition & 101 deletions README.md
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Expand Up @@ -20,17 +20,7 @@ Then load the package. We will also use [dplyr](https://github.com/hadley/dplyr)

``` r
library("internetarchive")
library("dplyr")
#>
#> Attaching package: 'dplyr'
#>
#> The following object is masked from 'package:stats':
#>
#> filter
#>
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
library("dplyr", warn.conflicts = FALSE)
```

Basic search and browse
Expand Down Expand Up @@ -90,46 +80,13 @@ To get a single item's metadata, you can pass its identifier to the `ia_get_item

``` r
hecker <- ia_get_items("TheLifeOfFatherHecker")
#> Getting TheLifeOfFatherHecker
```

The result is a list where the names of items in the list are the item identifiers, and the rest of the list is the metadata. This nested list can be difficult to work with, so the `ia_metadata()` returns a data frame of the metadata, and `ia_files()` returns a data frame of the files associated with the item.

``` r
ia_metadata(hecker)
#> Source: local data frame [25 x 3]
#>
#> id field
#> 1 TheLifeOfFatherHecker identifier
#> 2 TheLifeOfFatherHecker mediatype
#> 3 TheLifeOfFatherHecker collection1
#> 4 TheLifeOfFatherHecker collection2
#> 5 TheLifeOfFatherHecker collection3
#> 6 TheLifeOfFatherHecker creator
#> 7 TheLifeOfFatherHecker date
#> 8 TheLifeOfFatherHecker description
#> 9 TheLifeOfFatherHecker language
#> 10 TheLifeOfFatherHecker licenseurl
#> .. ... ...
#> Variables not shown: value (chr)
ia_files(hecker)
#> Source: local data frame [14 x 3]
#>
#> id file type
#> 1 TheLifeOfFatherHecker /TheLifeOfFatherHecker.djvu djvu
#> 2 TheLifeOfFatherHecker /TheLifeOfFatherHecker.epub epub
#> 3 TheLifeOfFatherHecker /TheLifeOfFatherHecker.gif gif
#> 4 TheLifeOfFatherHecker /TheLifeOfFatherHecker.pdf pdf
#> 5 TheLifeOfFatherHecker /TheLifeOfFatherHecker_abbyy.gz gz
#> 6 TheLifeOfFatherHecker /TheLifeOfFatherHecker_archive.torrent torrent
#> 7 TheLifeOfFatherHecker /TheLifeOfFatherHecker_djvu.txt txt
#> 8 TheLifeOfFatherHecker /TheLifeOfFatherHecker_djvu.xml xml
#> 9 TheLifeOfFatherHecker /TheLifeOfFatherHecker_files.xml xml
#> 10 TheLifeOfFatherHecker /TheLifeOfFatherHecker_jp2.zip zip
#> 11 TheLifeOfFatherHecker /TheLifeOfFatherHecker_meta.sqlite sqlite
#> 12 TheLifeOfFatherHecker /TheLifeOfFatherHecker_meta.xml xml
#> 13 TheLifeOfFatherHecker /TheLifeOfFatherHecker_scandata.xml xml
#> 14 TheLifeOfFatherHecker /TheLifeOfFatherHecker_text.pdf pdf
```

These functions can also retrieve the information for multiple items when used in a pipeline. Here we search for all the items about Hecker, retrieve their metadata, and turn it into a data frame. We then filter the data frame to get only the titles.
Expand All @@ -140,48 +97,6 @@ ia_keyword_search("isaac hecker", num_results = 20) %>%
ia_metadata() %>%
filter(field == "title") %>%
select(value)
#> 19 total items found. This query requested 20 results.
#> Getting TheLifeOfFatherHecker
#> Getting fatherhecker01sedg
#> Getting fatherhecker00sedggoog
#> Getting lifeoffatherheck01elli
#> Getting lifeoffatherheck00elli
#> Getting abitunpublished00heckgoog
#> Getting ERIC_ED250755
#> Getting TheLightOfTheCrossV2
#> Getting questionsofsoul00heck
#> Getting questionssoul01heckgoog
#> Getting catholicchurchi00heckgoog
#> Getting questionssoul00heckgoog
#> Getting cu31924031386414
#> Getting aspirationsofnat00heck
#> Getting uncatholicismeam00dela
#> Getting a587173700heckuoft
#> Getting cu31924029381013
#> Getting a589111500unknuoft
#> Getting aspirationsofnat00heckuoft
#> Source: local data frame [19 x 1]
#>
#> value
#> 1 The Life Of Father Hecker
#> 2 Father Hecker
#> 3 Father Hecker
#> 4 The life of Father Hecker
#> 5 The life of Father Hecker
#> 6 A Bit of Unpublished Correspondence Between Henry D. Thoreau and Isaac T. H
#> 7 ERIC ED250755: Rhetoric and Public Address: Abstracts of Doctoral Dissertat
#> 8 Volume 2: The Light Of The Cross In The Twentieth Century; the influence of
#> 9 Questions of the soul
#> 10 Questions of the Soul
#> 11 The Catholic Church in the United States: Its Rise, Relations with the Repu
#> 12 Questions of the Soul
#> 13 Questions of the soul
#> 14 Aspirations of nature
#> 15 Un catholicisme américain
#> 16 Aspirations of nature
#> 17 The church and the age; an exposition of the Catholic Church in view of the
#> 18 Die Kirche betrachtet mit Rücksicht auf die gegenwärtigen Streitfragen und
#> 19 Aspirations of nature
```

Downloading files
Expand All @@ -199,21 +114,6 @@ ia_search(ats_query) %>%
slice(1) %>%
ia_download(dir = dir, overwrite = FALSE) %>%
glimpse()
#> 3 total items found. This query requested 5 results.
#> Getting vitalgodlinessa00plumgoog
#> Getting huguenotsfrance00martgoog
#> Getting sketcheseloquen00wategoog
#> Downloading /var/folders/k3/yk84g4bd50b1mrltx28c_0280000gn/T//RtmpV6NIT9/huguenotsfrance00martgoog-huguenotsfrance00martgoog_djvu.txt
#> Downloading /var/folders/k3/yk84g4bd50b1mrltx28c_0280000gn/T//RtmpV6NIT9/sketcheseloquen00wategoog-sketcheseloquen00wategoog_djvu.txt
#> Downloading /var/folders/k3/yk84g4bd50b1mrltx28c_0280000gn/T//RtmpV6NIT9/vitalgodlinessa00plumgoog-vitalgodlinessa00plumgoog_djvu.txt
#> Observations: 3
#> Variables:
#> $ id (chr) "huguenotsfrance00martgoog", "sketcheseloquen00wate...
#> $ file (chr) "/huguenotsfrance00martgoog_djvu.txt", "/sketchesel...
#> $ type (chr) "txt", "txt", "txt"
#> $ url (chr) "https://archive.org/download/huguenotsfrance00mart...
#> $ local_file (chr) "/var/folders/k3/yk84g4bd50b1mrltx28c_0280000gn/T//...
#> $ downloaded (lgl) TRUE, TRUE, TRUE
```

Notice that `ia_download()` returns a modified version of the data frame that was passed to it, adding a column `local_file` with the path to the download files.
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22 changes: 22 additions & 0 deletions cran-comments.md
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@@ -0,0 +1,22 @@
This is resubmission of the internetarchive package.

## Changes since last submission

- A failing test has been rewritten
- NEWS file now has the standard name
- R CMD check has been rerun on all test environments

## Test environments

* local OS X install, R 3.1.3
* docker (R devel)
* ubuntu 12.04 (on travis-ci), R 3.1.2
* win-builder (devel and release)

## R CMD check results

There were no ERRORs or WARNINGs. All NOTEs relate to the submission of a new package.

## Check time

Every effort has been made to make minimize the check time by running as few calls to the Internet Archive API as possible.
2 changes: 2 additions & 0 deletions man/ia_download.Rd
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Expand Up @@ -36,6 +36,7 @@ A data frame including the file names of the downloaded files.
Download files for Internet Archive items.
}
\examples{
\dontrun{
if(require(dplyr)) {
dir <- tempdir()
ia_get_items("thedamnationofth00133gut") \%>\%
Expand All @@ -46,4 +47,5 @@ if(require(dplyr)) {
ia_download(dir = dir, extended_name = FALSE)
}
}
}

2 changes: 2 additions & 0 deletions man/ia_files.Rd
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Expand Up @@ -17,10 +17,12 @@ A list containing the files as a list of character vectors.
Access the list of files associated with an Internet Archive item
}
\examples{
\dontrun{
ats_query <- c("publisher" = "american tract society")
ids <- ia_search(ats_query, num_results = 3)
items <- ia_get_items(ids)
files <- ia_files(items)
files
}
}

2 changes: 2 additions & 0 deletions man/ia_get_items.Rd
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Expand Up @@ -21,10 +21,12 @@ A list containing the metadata returned by the API. List names
Get the metadata for Internet Archive items
}
\examples{
\dontrun{
ia_get_items("thedamnationofth00133gut")

ats_query <- c("publisher" = "american tract society")
ids <- ia_search(ats_query, num_results = 2)
ia_get_items(ids)
}
}

4 changes: 1 addition & 3 deletions tests/testthat/test-files-download.R
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@@ -1,6 +1,5 @@
context("Files, metadata, and downloading")

skip_on_cran()
library(dplyr, warn.conflicts = FALSE)
dir <- tempdir()
items <- ia_get_items("TheLifeOfFatherHecker", silence = TRUE)
Expand Down Expand Up @@ -33,8 +32,7 @@ test_that("ia_metadata() returns a data frame", {

test_that("ia_get_item() returns a list", {
expect_is(items, "list")
items$TheLifeOfFatherHecker$server <- NULL # server may vary
expect_equal_to_reference(items, "hecker_items.rds")
expect_named(items, )
})

test_that("ia_item_id() returns item ids", {
Expand Down
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