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Shape file extension: update extension guide #458

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nhward opened this issue Nov 23, 2024 · 9 comments
Closed

Shape file extension: update extension guide #458

nhward opened this issue Nov 23, 2024 · 9 comments
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@nhward
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nhward commented Nov 23, 2024

I am keen to extend Rio for shape files (which are technically a sets of four files). Shape files contain data that includes spatial features such as points, lines and polygons.
I have read everything I can find on extending Rio but I cannot get the code below to work. Is there a step that is not mentioned?

library(sf)
library(rio)

.import.rio_shp <- function(file, ...) {
  sf::read_sf(dsn = file, quiet = TRUE)
}

file <- system.file("shape/nc.shp", package="sf")
rio::get_info(file)
rio::import(file)

I am running R4.4.2 and the Rio 1.2.3
@chainsawriot
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@nhward Thank you for reporting this.

And you are right that the extension guide is outdated and adding just the S3 method is not enough. get_info() can't detect the file format. And it should also be addressed.

I will update this later.

@chainsawriot chainsawriot changed the title Shape file extension Shape file extension: update extension guide Nov 26, 2024
@chainsawriot
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chainsawriot commented Dec 13, 2024 •
edited
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One way of handling this is to make get_info() returns a type called "unknown" (rather than NA) first, when the file extension can't be found in the list. For "unknown" type, it would use tryCatch() to try to import it using a user-supplied custom S3 method first, e.g. .import.rio_shp. If it works, work. If it fails, fail and say not supported.

But it might change how the current "enhance" type works.

@chainsawriot
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#335

chainsawriot added a commit that referenced this issue Dec 17, 2024
@chainsawriot
Fix #458
39d9253 
The S3 method can be dispatched. But the problem is that it can't be
tested with testthat. Why?
@chainsawriot chainsawriot mentioned this issue Dec 17, 2024
Merged
@chainsawriot
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@nhward It should be working now. Please give it a try.

@nhward
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nhward commented Dec 19, 2024

I have installed the latest github package.
The reproducible example still does not work.
"Error: Format not supported"

@chainsawriot
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@nhward

Could you provide us the output of this reprex? It would help with the debugging.

## remotes::install_github("gesistsa/rio")
library(sf)
library(rio)
.import.rio_shp <- function(file, ...) {
  sf::read_sf(dsn = file, quiet = TRUE)
}
file <- system.file("shape/nc.shp", package="sf")
rio::get_info(file)
rio::import(file)
sessionInfo()

Thank you very much!

Here's mine.

## remotes::install_github("gesistsa/rio")
library(sf)
#> Linking to GEOS 3.10.2, GDAL 3.4.1, PROJ 8.2.1; sf_use_s2() is TRUE
library(rio)

.import.rio_shp <- function(file, ...) {
  sf::read_sf(dsn = file, quiet = TRUE)
}

file <- system.file("shape/nc.shp", package="sf")
rio::get_info(file)
#> $input
#> [1] "shp"
#> 
#> $format
#> [1] "shp"
#> 
#> $type
#> [1] "unknown"
#> 
#> $format_name
#> [1] NA
#> 
#> $import_function
#> [1] NA
#> 
#> $export_function
#> [1] NA
#> 
#> $file
#> [1] "/home/chainsawriot/R/x86_64-pc-linux-gnu-library/4.3/sf/shape/nc.shp"

rio::import(file)
#>      AREA PERIMETER CNTY_ CNTY_ID         NAME  FIPS FIPSNO CRESS_ID BIR74
#> 1   0.114     1.442  1825    1825         Ashe 37009  37009        5  1091
#> 2   0.061     1.231  1827    1827    Alleghany 37005  37005        3   487
#> 3   0.143     1.630  1828    1828        Surry 37171  37171       86  3188
#> 4   0.070     2.968  1831    1831    Currituck 37053  37053       27   508
#> 5   0.153     2.206  1832    1832  Northampton 37131  37131       66  1421
#> 6   0.097     1.670  1833    1833     Hertford 37091  37091       46  1452
#> 7   0.062     1.547  1834    1834       Camden 37029  37029       15   286
#> 8   0.091     1.284  1835    1835        Gates 37073  37073       37   420
#> 9   0.118     1.421  1836    1836       Warren 37185  37185       93   968
#> 10  0.124     1.428  1837    1837       Stokes 37169  37169       85  1612
#> 11  0.114     1.352  1838    1838      Caswell 37033  37033       17  1035
#> 12  0.153     1.616  1839    1839   Rockingham 37157  37157       79  4449
#> 13  0.143     1.663  1840    1840    Granville 37077  37077       39  1671
#> 14  0.109     1.325  1841    1841       Person 37145  37145       73  1556
#> 15  0.072     1.085  1842    1842        Vance 37181  37181       91  2180
#> 16  0.190     2.204  1846    1846      Halifax 37083  37083       42  3608
#> 17  0.053     1.171  1848    1848   Pasquotank 37139  37139       70  1638
#> 18  0.199     1.984  1874    1874       Wilkes 37193  37193       97  3146
#> 19  0.081     1.288  1880    1880      Watauga 37189  37189       95  1323
#> 20  0.063     1.000  1881    1881   Perquimans 37143  37143       72   484
#> 21  0.044     1.158  1887    1887       Chowan 37041  37041       21   751
#> 22  0.064     1.213  1892    1892        Avery 37011  37011        6   781
#> 23  0.086     1.267  1893    1893       Yadkin 37197  37197       99  1269
#> 24  0.128     1.554  1897    1897     Franklin 37069  37069       35  1399
#> 25  0.108     1.483  1900    1900      Forsyth 37067  37067       34 11858
#> 26  0.170     1.680  1903    1903     Guilford 37081  37081       41 16184
#> 27  0.111     1.392  1904    1904     Alamance 37001  37001        1  4672
#> 28  0.180     2.151  1905    1905       Bertie 37015  37015        8  1324
#> 29  0.104     1.294  1907    1907       Orange 37135  37135       68  3164
#> 30  0.077     1.271  1908    1908       Durham 37063  37063       32  7970
#> 31  0.142     1.640  1913    1913         Nash 37127  37127       64  4021
#> 32  0.059     1.319  1927    1927     Mitchell 37121  37121       61   671
#> 33  0.131     1.521  1928    1928    Edgecombe 37065  37065       33  3657
#> 34  0.122     1.516  1932    1932     Caldwell 37027  37027       14  3609
#> 35  0.080     1.307  1936    1936       Yancey 37199  37199      100   770
#> 36  0.118     1.899  1937    1937       Martin 37117  37117       59  1549
#> 37  0.219     2.130  1938    1938         Wake 37183  37183       92 14484
#> 38  0.118     1.601  1946    1946      Madison 37115  37115       58   765
#> 39  0.155     1.781  1947    1947      Iredell 37097  37097       49  4139
#> 40  0.069     1.201  1948    1948        Davie 37059  37059       30  1207
#> 41  0.066     1.070  1950    1950    Alexander 37003  37003        2  1333
#> 42  0.145     1.791  1951    1951     Davidson 37057  37057       29  5509
#> 43  0.134     1.755  1958    1958        Burke 37023  37023       12  3573
#> 44  0.100     1.331  1962    1962   Washington 37187  37187       94   990
#> 45  0.099     1.411  1963    1963      Tyrrell 37177  37177       89   248
#> 46  0.116     1.664  1964    1964     McDowell 37111  37111       56  1946
#> 47  0.201     1.805  1968    1968     Randolph 37151  37151       76  4456
#> 48  0.180     2.142  1973    1973      Chatham 37037  37037       19  1646
#> 49  0.094     1.307  1979    1979       Wilson 37195  37195       98  3702
#> 50  0.134     1.590  1980    1980        Rowan 37159  37159       80  4606
#> 51  0.168     1.791  1984    1984         Pitt 37147  37147       74  5094
#> 52  0.106     1.444  1986    1986      Catawba 37035  37035       18  5754
#> 53  0.168     1.995  1988    1988     Buncombe 37021  37021       11  7515
#> 54  0.207     1.851  1989    1989     Johnston 37101  37101       51  3999
#> 55  0.144     1.690  1996    1996      Haywood 37087  37087       44  2110
#> 56  0.094     3.640  2000    2000         Dare 37055  37055       28   521
#> 57  0.203     3.197  2004    2004     Beaufort 37013  37013        7  2692
#> 58  0.141     2.316  2013    2013        Swain 37173  37173       87   675
#> 59  0.070     1.105  2016    2016       Greene 37079  37079       40   870
#> 60  0.065     1.093  2026    2026          Lee 37105  37105       53  2252
#> 61  0.146     1.778  2027    2027   Rutherford 37161  37161       81  2992
#> 62  0.142     1.655  2029    2029        Wayne 37191  37191       96  6638
#> 63  0.154     1.680  2030    2030      Harnett 37085  37085       43  3776
#> 64  0.118     1.506  2032    2032    Cleveland 37045  37045       23  4866
#> 65  0.078     1.384  2034    2034      Lincoln 37109  37109       55  2216
#> 66  0.125     1.601  2039    2039      Jackson 37099  37099       50  1143
#> 67  0.181     1.980  2040    2040        Moore 37125  37125       63  2648
#> 68  0.143     1.887  2041    2041  Mecklenburg 37119  37119       60 21588
#> 69  0.091     1.321  2042    2042     Cabarrus 37025  37025       13  4099
#> 70  0.130     1.732  2044    2044   Montgomery 37123  37123       62  1258
#> 71  0.103     1.461  2045    2045       Stanly 37167  37167       84  2356
#> 72  0.095     1.471  2047    2047    Henderson 37089  37089       45  2574
#> 73  0.078     1.202  2056    2056       Graham 37075  37075       38   415
#> 74  0.104     1.548  2065    2065       Lenoir 37107  37107       54  3589
#> 75  0.098     1.389  2067    2067 Transylvania 37175  37175       88  1173
#> 76  0.091     1.470  2068    2068       Gaston 37071  37071       36  9014
#> 77  0.060     1.036  2071    2071         Polk 37149  37149       75   533
#> 78  0.131     1.677  2082    2082        Macon 37113  37113       57   797
#> 79  0.241     2.214  2083    2083      Sampson 37163  37163       82  3025
#> 80  0.082     1.388  2085    2085      Pamlico 37137  37137       69   542
#> 81  0.120     1.686  2088    2088     Cherokee 37039  37039       20  1027
#> 82  0.172     1.835  2090    2090   Cumberland 37051  37051       26 20366
#> 83  0.121     1.978  2091    2091        Jones 37103  37103       52   578
#> 84  0.163     1.716  2095    2095        Union 37179  37179       90  3915
#> 85  0.138     1.621  2096    2096        Anson 37007  37007        4  1570
#> 86  0.098     1.262  2097    2097         Hoke 37093  37093       47  1494
#> 87  0.167     2.709  2099    2099         Hyde 37095  37095       48   338
#> 88  0.204     1.871  2100    2100       Duplin 37061  37061       31  2483
#> 89  0.121     1.855  2107    2107     Richmond 37153  37153       77  2756
#> 90  0.051     1.096  2109    2109         Clay 37043  37043       22   284
#> 91  0.177     2.916  2119    2119       Craven 37049  37049       25  5868
#> 92  0.080     1.188  2123    2123     Scotland 37165  37165       83  2255
#> 93  0.195     1.783  2146    2146       Onslow 37133  37133       67 11158
#> 94  0.240     2.004  2150    2150      Robeson 37155  37155       78  7889
#> 95  0.125     2.868  2156    2156     Carteret 37031  37031       16  2414
#> 96  0.225     2.107  2162    2162       Bladen 37017  37017        9  1782
#> 97  0.214     2.152  2185    2185       Pender 37141  37141       71  1228
#> 98  0.240     2.365  2232    2232     Columbus 37047  37047       24  3350
#> 99  0.042     0.999  2238    2238  New Hanover 37129  37129       65  5526
#> 100 0.212     2.024  2241    2241    Brunswick 37019  37019       10  2181
#>     SID74 NWBIR74 BIR79 SID79 NWBIR79                       geometry
#> 1       1      10  1364     0      19 MULTIPOLYGON (((-81.47276 3...
#> 2       0      10   542     3      12 MULTIPOLYGON (((-81.23989 3...
#> 3       5     208  3616     6     260 MULTIPOLYGON (((-80.45634 3...
#> 4       1     123   830     2     145 MULTIPOLYGON (((-76.00897 3...
#> 5       9    1066  1606     3    1197 MULTIPOLYGON (((-77.21767 3...
#> 6       7     954  1838     5    1237 MULTIPOLYGON (((-76.74506 3...
#> 7       0     115   350     2     139 MULTIPOLYGON (((-76.00897 3...
#> 8       0     254   594     2     371 MULTIPOLYGON (((-76.56251 3...
#> 9       4     748  1190     2     844 MULTIPOLYGON (((-78.30876 3...
#> 10      1     160  2038     5     176 MULTIPOLYGON (((-80.02567 3...
#> 11      2     550  1253     2     597 MULTIPOLYGON (((-79.53051 3...
#> 12     16    1243  5386     5    1369 MULTIPOLYGON (((-79.53051 3...
#> 13      4     930  2074     4    1058 MULTIPOLYGON (((-78.74912 3...
#> 14      4     613  1790     4     650 MULTIPOLYGON (((-78.8068 36...
#> 15      4    1179  2753     6    1492 MULTIPOLYGON (((-78.49252 3...
#> 16     18    2365  4463    17    2980 MULTIPOLYGON (((-77.33221 3...
#> 17      3     622  2275     4     933 MULTIPOLYGON (((-76.29893 3...
#> 18      4     200  3725     7     222 MULTIPOLYGON (((-81.02057 3...
#> 19      1      17  1775     1      33 MULTIPOLYGON (((-81.80622 3...
#> 20      1     230   676     0     310 MULTIPOLYGON (((-76.48053 3...
#> 21      1     368   899     1     491 MULTIPOLYGON (((-76.68874 3...
#> 22      0       4   977     0       5 MULTIPOLYGON (((-81.94135 3...
#> 23      1      65  1568     1      76 MULTIPOLYGON (((-80.49554 3...
#> 24      2     736  1863     0     950 MULTIPOLYGON (((-78.25455 3...
#> 25     10    3919 15704    18    5031 MULTIPOLYGON (((-80.0381 36...
#> 26     23    5483 20543    38    7089 MULTIPOLYGON (((-79.53782 3...
#> 27     13    1243  5767    11    1397 MULTIPOLYGON (((-79.24619 3...
#> 28      6     921  1616     5    1161 MULTIPOLYGON (((-76.78307 3...
#> 29      4     776  4478     6    1086 MULTIPOLYGON (((-79.01814 3...
#> 30     16    3732 10432    22    4948 MULTIPOLYGON (((-79.01814 3...
#> 31      8    1851  5189     7    2274 MULTIPOLYGON (((-78.18693 3...
#> 32      0       1   919     2       4 MULTIPOLYGON (((-82.11885 3...
#> 33     10    2186  4359     9    2696 MULTIPOLYGON (((-77.67122 3...
#> 34      6     309  4249     9     360 MULTIPOLYGON (((-81.32813 3...
#> 35      0      12   869     1      10 MULTIPOLYGON (((-82.27921 3...
#> 36      2     883  1849     1    1033 MULTIPOLYGON (((-77.17846 3...
#> 37     16    4397 20857    31    6221 MULTIPOLYGON (((-78.92107 3...
#> 38      2       5   926     2       3 MULTIPOLYGON (((-82.89597 3...
#> 39      4    1144  5400     5    1305 MULTIPOLYGON (((-80.72652 3...
#> 40      1     148  1438     3     177 MULTIPOLYGON (((-80.45677 3...
#> 41      0     128  1683     2     150 MULTIPOLYGON (((-81.10889 3...
#> 42      8     736  7143     8     941 MULTIPOLYGON (((-80.06441 3...
#> 43      5     326  4314    15     407 MULTIPOLYGON (((-81.81628 3...
#> 44      5     521  1141     0     651 MULTIPOLYGON (((-76.40843 3...
#> 45      0     116   319     0     141 MULTIPOLYGON (((-76.1673 35...
#> 46      5     134  2215     5     128 MULTIPOLYGON (((-81.81628 3...
#> 47      7     384  5711    12     483 MULTIPOLYGON (((-79.76499 3...
#> 48      2     591  2398     3     687 MULTIPOLYGON (((-79.55536 3...
#> 49     11    1827  4706    13    2330 MULTIPOLYGON (((-78.06533 3...
#> 50      3    1057  6427     8    1504 MULTIPOLYGON (((-80.29824 3...
#> 51     14    2620  6635    11    3059 MULTIPOLYGON (((-77.47388 3...
#> 52      5     790  6883    21     914 MULTIPOLYGON (((-80.96143 3...
#> 53      9     930  9956    18    1206 MULTIPOLYGON (((-82.2581 35...
#> 54      6    1165  4780    13    1349 MULTIPOLYGON (((-78.53874 3...
#> 55      2      57  2463     8      62 MULTIPOLYGON (((-82.74389 3...
#> 56      0      43  1059     1      73 MULTIPOLYGON (((-75.78317 3...
#> 57      7    1131  2909     4    1163 MULTIPOLYGON (((-77.10377 3...
#> 58      3     281   883     2     406 MULTIPOLYGON (((-83.33182 3...
#> 59      4     534  1178     4     664 MULTIPOLYGON (((-77.80518 3...
#> 60      5     736  2949     6     905 MULTIPOLYGON (((-79.18244 3...
#> 61     12     495  3543     8     576 MULTIPOLYGON (((-81.97144 3...
#> 62     18    2593  8227    23    3073 MULTIPOLYGON (((-78.16319 3...
#> 63      6    1051  4789    10    1453 MULTIPOLYGON (((-78.61274 3...
#> 64     10    1491  5526    21    1729 MULTIPOLYGON (((-81.32282 3...
#> 65      8     302  2817     7     350 MULTIPOLYGON (((-80.95677 3...
#> 66      2     215  1504     5     307 MULTIPOLYGON (((-83.10629 3...
#> 67      5     844  3534     5    1151 MULTIPOLYGON (((-79.60747 3...
#> 68     44    8027 30757    35   11631 MULTIPOLYGON (((-81.0493 35...
#> 69      3     856  5669    20    1203 MULTIPOLYGON (((-80.50294 3...
#> 70      3     472  1598     8     588 MULTIPOLYGON (((-80.07141 3...
#> 71      5     370  3039     7     528 MULTIPOLYGON (((-80.07141 3...
#> 72      5     158  3679     8     264 MULTIPOLYGON (((-82.57003 3...
#> 73      0      40   488     1      45 MULTIPOLYGON (((-83.69563 3...
#> 74     10    1826  4225    14    2047 MULTIPOLYGON (((-77.83658 3...
#> 75      3      92  1401     4     104 MULTIPOLYGON (((-82.8877 35...
#> 76     11    1523 11455    26    2194 MULTIPOLYGON (((-81.32282 3...
#> 77      1      95   673     0      79 MULTIPOLYGON (((-82.21017 3...
#> 78      0       9  1157     3      22 MULTIPOLYGON (((-83.10629 3...
#> 79      4    1396  3447     4    1524 MULTIPOLYGON (((-78.11377 3...
#> 80      1     222   631     1     277 MULTIPOLYGON (((-76.94324 3...
#> 81      2      32  1173     1      42 MULTIPOLYGON (((-84.29104 3...
#> 82     38    7043 26370    57   10614 MULTIPOLYGON (((-78.49929 3...
#> 83      1     297   650     2     305 MULTIPOLYGON (((-77.049 34....
#> 84      4    1034  5273     9    1348 MULTIPOLYGON (((-80.84016 3...
#> 85     15     952  1875     4    1161 MULTIPOLYGON (((-79.91995 3...
#> 86      7     987  1706     6    1172 MULTIPOLYGON (((-79.3403 34...
#> 87      0     134   427     0     169 MULTIPOLYGON (((-76.51894 3...
#> 88      4    1061  2777     7    1227 MULTIPOLYGON (((-77.68983 3...
#> 89      4    1043  3108     7    1218 MULTIPOLYGON (((-79.68596 3...
#> 90      0       1   419     0       5 MULTIPOLYGON (((-83.938 34....
#> 91     13    1744  7595    18    2342 MULTIPOLYGON (((-76.89761 3...
#> 92      8    1206  2617    16    1436 MULTIPOLYGON (((-79.45597 3...
#> 93     29    2217 14655    23    3568 MULTIPOLYGON (((-77.53864 3...
#> 94     31    5904  9087    26    6899 MULTIPOLYGON (((-78.86451 3...
#> 95      5     341  3339     4     487 MULTIPOLYGON (((-77.14896 3...
#> 96      8     818  2052     5    1023 MULTIPOLYGON (((-78.2615 34...
#> 97      4     580  1602     3     763 MULTIPOLYGON (((-78.02592 3...
#> 98     15    1431  4144    17    1832 MULTIPOLYGON (((-78.65572 3...
#> 99     12    1633  6917     9    2100 MULTIPOLYGON (((-77.96073 3...
#> 100     5     659  2655     6     841 MULTIPOLYGON (((-78.65572 3...

sessionInfo()
#> R version 4.3.3 (2024-02-29)
#> Platform: x86_64-pc-linux-gnu (64-bit)
#> Running under: Ubuntu 22.04.5 LTS
#> 
#> Matrix products: default
#> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 
#> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0
#> 
#> locale:
#>  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
#>  [3] LC_TIME=de_DE.UTF-8        LC_COLLATE=en_US.UTF-8    
#>  [5] LC_MONETARY=de_DE.UTF-8    LC_MESSAGES=en_US.UTF-8   
#>  [7] LC_PAPER=de_DE.UTF-8       LC_NAME=C                 
#>  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
#> [11] LC_MEASUREMENT=de_DE.UTF-8 LC_IDENTIFICATION=C       
#> 
#> time zone: Europe/Berlin
#> tzcode source: system (glibc)
#> 
#> attached base packages:
#> [1] stats     graphics  grDevices utils     datasets  methods   base     
#> 
#> other attached packages:
#> [1] rio_1.2.4 sf_1.0-19
#> 
#> loaded via a namespace (and not attached):
#>  [1] vctrs_0.6.5        cli_3.6.3          knitr_1.49         rlang_1.1.4       
#>  [5] xfun_0.49          DBI_1.2.3          KernSmooth_2.23-22 glue_1.8.0        
#>  [9] htmltools_0.5.8.1  e1071_1.7-16       rmarkdown_2.29     grid_4.3.3        
#> [13] tibble_3.2.1       evaluate_1.0.1     classInt_0.4-10    fastmap_1.2.0     
#> [17] yaml_2.3.10        lifecycle_1.0.4    compiler_4.3.3     fs_1.6.5          
#> [21] pkgconfig_2.0.3    Rcpp_1.0.13-1      R.oo_1.27.0        R.utils_2.12.3    
#> [25] digest_0.6.37      class_7.3-22       reprex_2.1.1       pillar_1.10.0     
#> [29] magrittr_2.0.3     R.methodsS3_1.8.2  tools_4.3.3        withr_3.0.2       
#> [33] proxy_0.4-27       units_0.8-5

Created on 2024-12-19 with reprex v2.1.1

@chainsawriot chainsawriot reopened this Dec 19, 2024
@nhward
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nhward commented Dec 19, 2024 

> library(sf)
> library(rio)
> .import.rio_shp <- function(file, ...) {
+   sf::read_sf(dsn = file, quiet = TRUE)
+ }
> file <- system.file("shape/nc.shp", package="sf")
> rio::get_info(file)
$input
[1] "shp"

$format
[1] NA

$type
[1] NA

$format_name
[1] NA

$import_function
[1] NA

$export_function
[1] NA

$file
[1] "/usr/lib/R/site-library/sf/shape/nc.shp"

> rio::import(file)
Error: Format not supported
> sessionInfo()
R version 4.4.2 (2024-10-31)
Platform: x86_64-pc-linux-gnu
Running under: Ubuntu 24.04.1 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 
LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.26.so;  LAPACK version 3.12.0

locale:
 [1] LC_CTYPE=en_NZ.UTF-8       LC_NUMERIC=C               LC_TIME=en_NZ.UTF-8        LC_COLLATE=en_NZ.UTF-8     LC_MONETARY=en_NZ.UTF-8   
 [6] LC_MESSAGES=en_NZ.UTF-8    LC_PAPER=en_NZ.UTF-8       LC_NAME=C                  LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_NZ.UTF-8 LC_IDENTIFICATION=C       

time zone: Pacific/Auckland
tzcode source: system (glibc)

attached base packages:
[1] parallel  stats     graphics  grDevices datasets  utils     methods   base     

other attached packages:
 [1] magrittr_2.0.3        shinyWidgets_0.8.7    bsicons_0.1.2         shinymeta_0.2.0.3     conductor_0.1.1       bslib_0.8.0          
 [7] foreach_1.5.2         cli_3.6.3             tibble_3.2.1          stringr_1.5.1         shinycssloaders_1.1.0 shinyjs_2.1.0        
[13] shiny_1.10.0          sf_1.0-15             nanoparquet_0.3.1     fst_0.9.8             yaml_2.3.10           qs_0.27.2            
[19] readODS_2.3.1         rmatio_0.19.0         jsonlite_1.8.9        xml2_1.3.6            pzfx_0.3.0            hexView_0.3-4        
[25] clipr_0.8.0           arrow_18.1.0          markdown_1.13         dplyr_1.1.4           fs_1.6.5              httr_1.4.7           
[31] shinyFiles_0.9.3      rio_1.2.4            

loaded via a namespace (and not attached):
 [1] tidyselect_1.2.1    R.utils_2.12.3      fastmap_1.2.0       promises_1.3.2      stringfish_0.16.0   digest_0.6.37      
 [7] fstcore_0.9.18      mime_0.12           lifecycle_1.0.4     processx_3.8.4      compiler_4.4.2      rlang_1.1.4        
[13] sass_0.4.9          tools_4.4.2         utf8_1.2.4          pkgbuild_1.4.5      curl_6.0.1          bit_4.5.0.1        
[19] classInt_0.4-10     KernSmooth_2.23-24  miniUI_0.1.1.1      R.cache_0.16.0      purrr_1.0.2         desc_1.4.3         
[25] R.oo_1.27.0         grid_4.4.2          fansi_1.0.6         tidymodules_0.1.6   xtable_1.8-4        e1071_1.7-16       
[31] waiter_0.2.5        iterators_1.0.14    shinyanimate_0.4.0  crayon_1.5.3        snippr_0.0.0.9000   remotes_2.5.0      
[37] generics_0.1.3      RcppParallel_5.1.9  rstudioapi_0.17.1   DBI_1.2.3           cachem_1.1.0        proxy_0.4-27       
[43] RApiSerialize_0.1.4 assertthat_0.2.1    vctrs_0.6.5         Matrix_1.7-1        callr_3.7.6         bit64_4.5.2        
[49] jquerylib_0.1.4     units_0.8-5         glue_1.8.0          ps_1.8.1            codetools_0.2-20    stringi_1.8.4      
[55] later_1.4.1         bspm_0.5.7          styler_1.10.3       pillar_1.10.0       htmltools_0.5.8.1   sourcetools_0.1.7-1
[61] R6_2.5.1            lattice_0.22-6      R.methodsS3_1.8.2   memoise_2.0.1       httpuv_1.6.15       class_7.3-22       
[67] Rcpp_1.0.13-1       pkgconfig_2.0.3

@chainsawriot
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Could you please restart your R session (It doesn't look like a clean session) and retry? If it still doesn't work, could you please run this and show us the output?

rio:::.query_format

It's just weird that your rio:::.query_format() still has the old behavior of 1.2.3, i.e. returning NA for type.

@nhward
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nhward commented Dec 19, 2024

It seems that a restart of RStudio was all that was required. I have not encountered that before. How curious.
Everything is working now. Shape files are being read.

Well done and thanks

Requested output below:

rio:::.query_format
function (input, file) 
{
    unique_rio_formats <- unique(rio_formats[, colnames(rio_formats) != 
        "note"])
    if (file == "clipboard") {
        output <- as.list(unique_rio_formats[unique_rio_formats$format == 
            "clipboard", ])
        output$file <- file
        return(output)
    }
    matched_formats <- unique_rio_formats[unique_rio_formats$input == 
        input, ]
    if (nrow(matched_formats) == 0) {
        return(list(input = input, format = input, type = "unknown", 
            format_name = NA, import_function = NA, export_function = NA, 
            file = file))
    }
    output <- as.list(matched_formats)
    output$file <- file
    return(output)
}
<bytecode: 0x65395fbd4c40>
<environment: namespace:rio>
>

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