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read_delim() fails when sample of parsing problems contains non-ASCII characters #1136

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petrbouchal opened this issue Oct 17, 2020 · 1 comment · Fixed by #1152
Closed

read_delim() fails when sample of parsing problems contains non-ASCII characters #1136

petrbouchal opened this issue Oct 17, 2020 · 1 comment · Fixed by #1152
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bug an unexpected problem or unintended behavior

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@petrbouchal
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petrbouchal commented Oct 17, 2020 •
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When a non-ASCII file is read using read_delim() or its friends and there are parsing failures and the text used by warn_problems() contains non-ASCII characters, the following error is returned:

## Error in nchar(x) : invalid multibyte string, element 3

This is quite hard to debug because the error makes it seem like the encoding was set incorrectly or the file has problems. (In my case it only occurred with 2 out of about 6000 CSV files read using map_dfr() even though all contained non-ASCII text.)

In fact the error occurs in warn_problems():

readr/R/problems.R

Line 83 in 05890c3

width <- vapply(probs_f, function(x) max(nchar(x)), integer(1))

where nchar() throws an error if one of the problems "sampled" for display contains a non-UTF-8 string. The data is in fact read correctly inside read_delimited(); the call only fails once warn_problems() is called.

Once I supplied the column specification and the non-ASCII text no longer appeared in the list of reported problems, the error no longer occurred (see reprex).

Possibly related to #1111 where the same error is thrown by parse_number(); this may have a similar root cause though I haven't investigated specifically.

Reprex:

tf <- tempfile()
download.file("https://vdp.cuzk.cz/vymenny_format/csv/20200930_OB_547999_ADR.csv.zip", destfile = tf)
read_csv2(tf, locale = locale(encoding = "Windows-1250"))

## Error in nchar(x) : invalid multibyte string, element 3

Inspecting this in the debugger, the probs_f variable used inside warn_problems() does indeed contain non-ASCII text.

This works as expected:

read_csv2(tf, locale = locale(encoding = "Windows-1250"),
          col_types = cols(.default = "c"))

The file referenced in the reprex above was correctly read using read.csv2 also using the "WINDOWS-1250" encoding. Likewise it can be read in python using the pandas CSV reader with the same encoding.

System:

Mac OS
R 4.0.2
readr 1.4.0 from CRAN
@petrbouchal petrbouchal mentioned this issue Oct 17, 2020
Closed
@jimhester jimhester added the bug an unexpected problem or unintended behavior label Oct 19, 2020
@hidekoji
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I have a similar issue with Shift JIS encoding.

readr::read_delim("https://www.dropbox.com/s/aji9zb5qqu76hn8/13_2018.csv?dl=1" , ",", 
                  quote = "\"", skip = 0 , col_names = TRUE , na = c('','NA') , 
                  locale=readr::locale(encoding = "SHIFT_JIS", 
                                       decimal_mark = ".", tz = "America/Los_Angeles", grouping_mark = "," ), trim_ws = TRUE , progress = TRUE)
#> 
#> ── Column specification ────────────────────────────────────────────────────────
#> cols(
#>   都道府県名 = col_character(),
#>   市区町村名 = col_character(),
#>   `大字・丁目名` = col_character(),
#>   `小字・通称名` = col_logical(),
#>   `街区符号・地番` = col_double(),
#>   座標系番号 = col_double(),
#>   Ｘ座標 = col_double(),
#>   Ｙ座標 = col_double(),
#>   緯度 = col_double(),
#>   経度 = col_double(),
#>   住居表示フラグ = col_double(),
#>   代表フラグ = col_double(),
#>   更新前履歴フラグ = col_double(),
#>   更新後履歴フラグ = col_double()
#> )
#> |========                                                            | 12% 3 MB|========                                                            | 12% 3 MB|========                                                            | 12% 3 MB|========                                                            | 12% 3 MB|=========                                                           | 13% 3 MB|=========                                                           | 13% 3 MB|=========                                                           | 13% 3 MB|=========                                                           | 13% 3 MB|=========                                                           | 14% 3 MB|=========                                                           | 14% 4 MB|==========                                                          | 14% 4 MB|==========                                                          | 15% 4 MB|==========                                       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#> Error in nchar(x): invalid multibyte string, element 3

Created on 2020-11-16 by the reprex package (v0.3.0)

This works if I set FALSE for the col_names argument.

df <- readr::read_delim("https://www.dropbox.com/s/aji9zb5qqu76hn8/13_2018.csv?dl=1" , ",", 
                  quote = "\"", skip = 0 , col_names = FALSE , na = c('','NA') , 
                  locale=readr::locale(encoding = "SHIFT_JIS", 
                                       decimal_mark = ".", tz = "America/Los_Angeles", grouping_mark = "," ), trim_ws = TRUE , progress = TRUE)
#> 
#> ── Column specification ────────────────────────────────────────────────────────
#> cols(
#>   X1 = col_character(),
#>   X2 = col_character(),
#>   X3 = col_character(),
#>   X4 = col_character(),
#>   X5 = col_character(),
#>   X6 = col_character(),
#>   X7 = col_character(),
#>   X8 = col_character(),
#>   X9 = col_character(),
#>   X10 = col_character(),
#>   X11 = col_character(),
#>   X12 = col_character(),
#>   X13 = col_character(),
#>   X14 = col_character()
#> )
#> |=====                                                                | 7% 2 MB|=====                                                                | 7% 2 MB|=====                                                                | 7% 2 MB|=====                                                                | 8% 2 MB|=====                                                                | 8% 2 MB|======                                                               | 8% 2 MB|======                                                               | 8% 2 MB|======                                                               | 9% 2 MB|======                                                               | 9% 2 MB|======                                                               | 9% 2 MB|======                                                              | 10% 2 MB|=======                                                             | 10% 2 MB|=======                                          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MB|===================================================================| 98% 27 MB|===================================================================| 98% 27 MB|===================================================================| 99% 27 MB|===================================================================| 99% 27 MB|===================================================================| 99% 27 MB|===================================================================| 99% 27 MB|===================================================================| 100% 28 MB

Created on 2020-11-16 by the reprex package (v0.3.0)

@hidekoji hidekoji mentioned this issue Nov 18, 2020
Merged
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@jimhester @hidekoji @petrbouchal