Error with intchron(c("intimate", "nrcf", "oxa"))

[dirkseidensticker]

While working on ropensci/c14bazAAR#147 in order to close ropensci/c14bazAAR#115 I tried to extract all databases hold in Intchron. But only egyptdb and sadb were returned

>   intimate <- intchron(c("intimate"))
Error in data.frame(..., check.names = FALSE) : 
  arguments imply differing number of rows: 2501, 0
>   nrcf <- intchron(c("nrcf"))
Error in data.frame(series_type = .x$series_type, purrr::map_dfc(.x$data,  : 
  arguments imply differing number of rows: 1, 0
>   oxa <- intchron(c("oxa"))
Error in data.frame(series_type = .x$series_type, purrr::map_dfc(.x$data,  : 
  arguments imply differing number of rows: 1, 0

In order to write a c14bazAAR parser, I want to check to what degree the returned fields are different from one db to the next. Thus far, I found that egyptdb contains also dynasty and reign; small background detail.

Would you consider this issue to be somewhere on my side or can you replicate the error? I am running v0.1.0.9000

[joeroe]

Thanks, I can replicate this. I will have to look into it further, but since there is not a general problem with parsing e.g. ORAU records:

rintchron::intchron("oxa", countries = "France")
#> # A tibble: 77 × 19
#>    record_site           record_country record_name record_longitude record_latitude
#>    <chr>                 <chr>          <chr>                  <dbl>           <dbl>
#>  1 Balloy                France         Balloy                  3.17           44.4 
#>  2 Beaurieux, Les Greves France         Beaurieux,…            49.4             3.74
#>  3 Beaurieux, Les Greves France         Beaurieux,…            49.4             3.74
#>  4 Beaurieux, Les Greves France         Beaurieux,…            49.4             3.74
#>  5 Beaurieux, Les Greves France         Beaurieux,…            49.4             3.74
#>  6 Beaurieux, Les Greves France         Beaurieux,…            49.4             3.74
#>  7 Beaurieux, Les Greves France         Beaurieux,…            49.4             3.74
#>  8 Bourbonne-les-Bains   France         Bourbonne-…             5.75           48.0 
#>  9 Bourbonne-les-Bains   France         Bourbonne-…             5.75           48.0 
#> 10 Bourbonne-les-Bains   France         Bourbonne-…             5.75           48.0 
#> # … with 67 more rows, and 14 more variables: series_type <chr>, labcode <chr>,
#> #   longitude <dbl>, latitude <dbl>, sample <chr>, material <chr>,
#> #   species <chr>, d13C <dbl>, r_date <int>, r_date_sigma <int>, qual <chr>,
#> #   F14C <dbl>, F14C_sigma <dbl>, refs <chr>

^{Created on 2021-09-03 by the reprex package (v2.0.0)}

My guess that this is due to records that are malformed or have an unexpected structure. The response parser generally makes too many assumptions (see #11), so errors like this are inevitable as the IntChron data changes...