Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

HTTP service unavailable #95

Open
kalegoddess opened this issue Aug 29, 2024 · 8 comments
Open

HTTP service unavailable #95

kalegoddess opened this issue Aug 29, 2024 · 8 comments
Labels
not-downloading Data is not downloaded from the server

Comments

@kalegoddess
Copy link

Attempts to use gisco_get_countries to get a world shape return this error:

HTTP Status Code: 503 - Service Unavailable

url
https://gisco-services.ec.europa.eu/distribution/v2/countries/geojson/CNTR_RG_10M_2020_4326.geojson not reachable.

Please download manually. If you think this is a bug please consider opening an issue on https://github.com/ropengov/giscoR/issues
Returning NULL

@joelangley9
Copy link

Same issue here.

countries <- gisco_get_countries(country = countries_names, year = "2020", resolution = "01")

When i try to run this code for the 28 countries in my country_names vector, the same error as above arises for three countries (China, India and United Kingdom).

@pradisteph
Copy link

Same issue here:
nuts0 <- giscoR::gisco_get_nuts(
year = "2021",
resolution = "3",
nuts_level = "0"
) %>%
sf::st_transform(crsLONGLAT)

HTTP Status Code: 503 - Service Unavailable

url
https://gisco-services.ec.europa.eu/distribution/v2/nuts/geojson/NUTS_RG_03M_2021_4326_LEVL_0.geojson not reachable.

Please download manually. If you think this is a bug please consider opening an issue on https://github.com/ropengov/giscoR/issues
Returning NULL
Error in UseMethod("st_transform") :
no applicable method for 'st_transform' applied to an object of class "NULL"

@dieghernan dieghernan added the not-downloading Data is not downloaded from the server label Aug 29, 2024
@matteodefelice
Copy link

same here.

@GB-IHE
Copy link

GB-IHE commented Aug 30, 2024

I have the same issue. Does anyone know a workaround?

@dieghernan
Copy link
Member

Sometimes these errors are from the server side, not from the package itself.

I think it is solved now, can you confirm?

Reprex:

library(giscoR)
library(dplyr)

@kalegoddess

gisco_get_countries(
  year = 2020, resolution = 10,
  epsg = 4326, cache_dir = tempdir()
)
#> Simple feature collection with 257 features and 11 fields
#> Geometry type: MULTIPOLYGON
#> Dimension:     XY
#> Bounding box:  xmin: -180 ymin: -89.9 xmax: 180 ymax: 83.65872
#> Geodetic CRS:  WGS 84
#> First 10 features:
#>    CNTR_ID                      NAME_GERM                    CNTR_NAME
#> 1       AD                        Andorra                      Andorra
#> 2       AE Vereinigten Arabischen Emirate     الإمارات العربية المتحدة
#> 3       AF                    Afghanistan          افغانستان-افغانستان
#> 4       AG            Antigua und Barbuda          Antigua and Barbuda
#> 5       AI                       Anguilla                     Anguilla
#> 6       AL                       Albanien                    Shqipëria
#> 7       AM                       Armenien                     Հայաստան
#> 8       AO                         Angola                       Angola
#> 9       AR                    Argentinien                    Argentina
#> 10      AS             Amerikanisch-Samoa American Samoa-Sāmoa Amelika
#>    ISO3_CODE             CAPT            NAME_ENGL           NAME_FREN
#> 1        AND Andorra la Vella              Andorra             Andorre
#> 2        ARE        Abu Dhabi United Arab Emirates Émirats arabes unis
#> 3        AFG            Kabul          Afghanistan         Afghanistan
#> 4        ATG        St John's  Antigua and Barbuda  Antigua-et-Barbuda
#> 5        AIA       The Valley             Anguilla            Anguilla
#> 6        ALB           Tirana              Albania             Albanie
#> 7        ARM          Yerevan              Armenia             Arménie
#> 8        AGO           Luanda               Angola              Angola
#> 9        ARG     Buenos Aires            Argentina           Argentine
#> 10       ASM        Pago Pago       American Samoa   Samoa américaines
#>                            SVRG_UN EU_STAT CC_STAT EFTA_STAT
#> 1                  UN Member State       F       F         F
#> 2                  UN Member State       F       F         F
#> 3                  UN Member State       F       F         F
#> 4                  UN Member State       F       F         F
#> 5  UK Non-Self-Governing Territory       F       F         F
#> 6                  UN Member State       F       T         F
#> 7                  UN Member State       F       F         F
#> 8                  UN Member State       F       F         F
#> 9                  UN Member State       F       F         F
#> 10 US Non-Self-Governing Territory       F       F         F
#>                          geometry
#> 1  MULTIPOLYGON (((1.53521 42....
#> 2  MULTIPOLYGON (((56.1464 25....
#> 3  MULTIPOLYGON (((71.28622 38...
#> 4  MULTIPOLYGON (((-61.70749 1...
#> 5  MULTIPOLYGON (((-63.08349 1...
#> 6  MULTIPOLYGON (((19.75862 42...
#> 7  MULTIPOLYGON (((44.94132 41...
#> 8  MULTIPOLYGON (((13.47062 -5...
#> 9  MULTIPOLYGON (((-66.04926 -...
#> 10 MULTIPOLYGON (((-169.4544 -...

@joelangley9

countries_names <- c("China", "India", "United Kingdom")

gisco_get_countries(
  country = countries_names, year = "2020",
  resolution = "01",
  cache_dir = tempdir()
)
#> Simple feature collection with 3 features and 11 fields
#> Geometry type: MULTIPOLYGON
#> Dimension:     XY
#> Bounding box:  xmin: -8.647188 ymin: 6.755997 xmax: 134.7797 ymax: 60.84522
#> Geodetic CRS:  WGS 84
#>   ISO3_CODE      CAPT      CNTR_NAME CNTR_ID              NAME_GERM CC_STAT
#> 1       CHN   Beijing           中國      CN                  China       F
#> 2       IND New Delhi     India-भारत      IN                 Indien       F
#> 3       GBR    London United Kingdom      UK Vereinigtes Königreich       F
#>   EU_STAT      NAME_ENGL EFTA_STAT         SVRG_UN   NAME_FREN
#> 1       F          China         F UN Member State       Chine
#> 2       F          India         F UN Member State        Inde
#> 3       F United Kingdom         F UN Member State Royaume-Uni
#>                         geometry
#> 1 MULTIPOLYGON (((123.4666 53...
#> 2 MULTIPOLYGON (((91.93828 23...
#> 3 MULTIPOLYGON (((-3.40836 58...

@pradisteph

giscoR::gisco_get_nuts(
  year = "2021", resolution = "3",
  nuts_level = "0", cache_dir = tempdir()
) %>%
  sf::st_transform(4326)
#> Simple feature collection with 37 features and 9 fields
#> Geometry type: MULTIPOLYGON
#> Dimension:     XY
#> Bounding box:  xmin: -63.15176 ymin: -21.38696 xmax: 55.83509 ymax: 80.83427
#> Geodetic CRS:  WGS 84
#> First 10 features:
#>    NUTS_ID LEVL_CODE URBN_TYPE CNTR_CODE               NAME_LATN
#> 1       BG         0         0        BG                Bulgaria
#> 2       CH         0         0        CH Schweiz/Suisse/Svizzera
#> 3       AL         0         0        AL               Shqipëria
#> 4       CZ         0         0        CZ                   Česko
#> 5       BE         0         0        BE         Belgique/België
#> 6       AT         0         0        AT              Österreich
#> 7       DE         0         0        DE             Deutschland
#> 8       CY         0         0        CY                  Kýpros
#> 9       DK         0         0        DK                 Danmark
#> 10      EE         0         0        EE                   Eesti
#>                  NUTS_NAME MOUNT_TYPE COAST_TYPE geo
#> 1                 България          0          0  BG
#> 2  Schweiz/Suisse/Svizzera          0          0  CH
#> 3                Shqipëria          0          0  AL
#> 4                    Česko          0          0  CZ
#> 5          Belgique/België          0          0  BE
#> 6               Österreich          0          0  AT
#> 7              Deutschland          0          0  DE
#> 8                   Κύπρος          0          0  CY
#> 9                  Danmark          0          0  DK
#> 10                   Eesti          0          0  EE
#>                          geometry
#> 1  MULTIPOLYGON (((22.97854 43...
#> 2  MULTIPOLYGON (((8.567406 47...
#> 3  MULTIPOLYGON (((19.75089 42...
#> 4  MULTIPOLYGON (((14.37233 51...
#> 5  MULTIPOLYGON (((4.83904 51....
#> 6  MULTIPOLYGON (((15.14986 48...
#> 7  MULTIPOLYGON (((8.635926 54...
#> 8  MULTIPOLYGON (((33.77666 34...
#> 9  MULTIPOLYGON (((15.19441 55...
#> 10 MULTIPOLYGON (((25.77586 59...

Created on 2024-09-23 with reprex v2.1.1

Session info
sessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#>  setting  value
#>  version  R version 4.4.1 (2024-06-14)
#>  os       Ubuntu 20.04.6 LTS
#>  system   x86_64, linux-gnu
#>  ui       X11
#>  language (EN)
#>  collate  C.UTF-8
#>  ctype    C.UTF-8
#>  tz       UTC
#>  date     2024-09-23
#>  pandoc   3.1.1 @ /usr/lib/rstudio-server/bin/quarto/bin/tools/ (via rmarkdown)
#> 
#> ─ Packages ───────────────────────────────────────────────────────────────────
#>  package     * version date (UTC) lib source
#>  class         7.3-22  2023-05-03 [2] CRAN (R 4.4.1)
#>  classInt      0.4-10  2023-09-05 [1] RSPM (R 4.4.0)
#>  cli           3.6.3   2024-06-21 [1] RSPM (R 4.4.0)
#>  countrycode   1.6.0   2024-03-22 [1] RSPM (R 4.4.0)
#>  DBI           1.2.3   2024-06-02 [1] RSPM (R 4.4.0)
#>  digest        0.6.37  2024-08-19 [1] RSPM (R 4.4.0)
#>  dplyr       * 1.1.4   2023-11-17 [1] RSPM (R 4.4.0)
#>  e1071         1.7-16  2024-09-16 [1] RSPM (R 4.4.0)
#>  evaluate      1.0.0   2024-09-17 [1] RSPM (R 4.4.0)
#>  fansi         1.0.6   2023-12-08 [1] RSPM (R 4.4.0)
#>  fastmap       1.2.0   2024-05-15 [1] RSPM (R 4.4.0)
#>  fs            1.6.4   2024-04-25 [1] RSPM (R 4.4.0)
#>  generics      0.1.3   2022-07-05 [1] RSPM (R 4.4.0)
#>  geojsonsf     2.0.3   2022-05-30 [1] RSPM (R 4.4.0)
#>  giscoR      * 0.6.0   2024-09-23 [1] local
#>  glue          1.7.0   2024-01-09 [1] RSPM (R 4.4.0)
#>  htmltools     0.5.8.1 2024-04-04 [1] RSPM (R 4.4.0)
#>  KernSmooth    2.23-24 2024-05-17 [2] CRAN (R 4.4.1)
#>  knitr         1.48    2024-07-07 [1] RSPM (R 4.4.0)
#>  lifecycle     1.0.4   2023-11-07 [1] RSPM (R 4.4.0)
#>  magrittr      2.0.3   2022-03-30 [1] RSPM (R 4.4.0)
#>  pillar        1.9.0   2023-03-22 [1] RSPM (R 4.4.0)
#>  pkgconfig     2.0.3   2019-09-22 [1] RSPM (R 4.4.0)
#>  proxy         0.4-27  2022-06-09 [1] RSPM (R 4.4.0)
#>  R6            2.5.1   2021-08-19 [1] RSPM (R 4.4.0)
#>  Rcpp          1.0.13  2024-07-17 [1] RSPM (R 4.4.0)
#>  reprex        2.1.1   2024-07-06 [1] RSPM (R 4.4.0)
#>  rlang         1.1.4   2024-06-04 [1] RSPM (R 4.4.0)
#>  rmarkdown     2.28    2024-08-17 [1] RSPM (R 4.4.0)
#>  rstudioapi    0.16.0  2024-03-24 [1] RSPM (R 4.4.0)
#>  s2            1.1.7   2024-07-17 [1] RSPM (R 4.4.0)
#>  sessioninfo   1.2.2   2021-12-06 [1] RSPM (R 4.4.0)
#>  sf            1.0-16  2024-03-24 [1] RSPM (R 4.4.0)
#>  tibble        3.2.1   2023-03-20 [1] RSPM (R 4.4.0)
#>  tidyselect    1.2.1   2024-03-11 [1] RSPM (R 4.4.0)
#>  units         0.8-5   2023-11-28 [1] RSPM (R 4.4.0)
#>  utf8          1.2.4   2023-10-22 [1] RSPM (R 4.4.0)
#>  vctrs         0.6.5   2023-12-01 [1] RSPM (R 4.4.0)
#>  withr         3.0.1   2024-07-31 [1] RSPM (R 4.4.0)
#>  wk            0.9.3   2024-09-06 [1] RSPM (R 4.4.0)
#>  xfun          0.47    2024-08-17 [1] RSPM (R 4.4.0)
#>  yaml          2.3.10  2024-07-26 [1] RSPM (R 4.4.0)
#> 
#>  [1] /cloud/lib/x86_64-pc-linux-gnu-library/4.4
#>  [2] /opt/R/4.4.1/lib/R/library
#> 
#> ──────────────────────────────────────────────────────────────────────────────

@GB-IHE
Copy link

GB-IHE commented Sep 23, 2024

It works for me now, yeah. Thanks!

@raffaem
Copy link

raffaem commented Oct 2, 2024

I have the same issue as of today:

geodata <- get_eurostat_geospatial(nuts_level = 2, year = 2021)
Extracting data using giscoR package, please report issues on https://github.com/rOpenGov/giscoR/issues
Cache management as per giscoR. see 'giscoR::gisco_get_nuts()'
HTTP Status Code: 503 - Service Unavailable

url 
  https://gisco-services.ec.europa.eu/distribution/v2/nuts/geojson/NUTS_RG_60M_2021_4326_LEVL_2.geojson  not reachable.

Please download manually.  If you think this is a bug please consider opening an issue on  https://github.com/ropengov/giscoR/issues
Returning `NULL`
  1. It's not a server-side problem as the link works and I am able to download the file manually
  2. I don't understand how to load it after I have downloaded it manually

@webervienna
Copy link

I have the same issue as of today with accessing nuts3 level information

> nuts3<-data.table(gisco_get_nuts(nuts_level=3,year="2003"))
> HTTP Status Code: 503 - Service Unavailable
> 
> url 
>   https://gisco-services.ec.europa.eu/distribution/v2/nuts/geojson/NUTS_RG_20M_2003_4326_LEVL_3.geojson  not reachable.
> 
> Please download manually.  If you think this is a bug please consider opening an issue on  https://github.com/ropengov/giscoR/issues
> Returning `NULL`

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
not-downloading Data is not downloaded from the server
Projects
None yet
Development

No branches or pull requests

8 participants