Error when running DeGAUSS through dht

[asitemade4u]

Hi, Thank you for the integration of DeGAUSS with R. Much appreciated.

However, while geocoding addresses of NYC, I am facing a recurring error. Here is the backtrace:

✔ imported data from degauss_100c49bea68e.csv
ℹ removing non-alphanumeric characters...
ℹ removing excess whitespace...
ℹ parsing addresses...
Error:
! Column name `road` must not be duplicated.
Use .name_repair to specify repair.
Caused by error in `repaired_names()`:
! Names must be unique.
✖ These names are duplicated:
  * "road" at locations 1 and 3.
Backtrace:
     ▆
  1. ├─dplyr::rename_with(...)
  2. ├─dplyr::bind_rows(...)
  3. │ └─rlang::list2(...)
  4. ├─purrr::modify(...)
  5. └─purrr:::modify.default(...)
  6.   ├─tibble (local) .f(.x[[i]], ...)
  7.   └─tibble:::as_tibble.list(.x[[i]], ...)
  8.     └─tibble:::lst_to_tibble(x, .rows, .name_repair, col_lengths(x))
  9.       └─tibble:::set_repaired_names(x, repair_hint = TRUE, .name_repair)
 10.         ├─rlang::set_names(...)
 11.         └─tibble:::repaired_names(= NULL)
 12.           ├─tibble:::subclass_name_repair_errors(...)
 13.           │ └─base::withCallingHandlers(...)
 14.           └─vctrs::vec_as_names(...)
 15.             └─vctrs (local) `<fn>`()
 16.               └─vctrs:::validate_unique(names = names, arg = arg, call = call)
 17.                 └─vctrs:::stop_names_must_be_unique(names, arg, call = call)
 18.                   └─vctrs:::stop_names(...)
 19.                     └─vctrs:::stop_vctrs(...)
 20.                       └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
Execution halted
Error in `dplyr::left_join()`:
! Join columns in `y` must be present in the data.
✖ Problem with `address`.

And here is the trace to the error:

<error/rlang_error>
Error in `dplyr::left_join()`:
! Join columns in `y` must be present in the data.
✖ Problem with `address`.
---
Backtrace:
    ▆
 1. └─dht::degauss_run(plctst, "postal", "0.1.1")
 2.   ├─dplyr::left_join(.x, .x_output, by = degauss_input_names, na_matches = "never")
 3.   └─dplyr:::left_join.data.frame(.x, .x_output, by = degauss_input_names, na_matches = "never")
Run rlang::last_trace(drop = FALSE) to see 4 hidden frames.

I also attach the csv file I am trying to geocode: degauss_4.csv

Thanks, S.

[asitemade4u]

Actually, I was following the example you gave in the documentation that was using postal v.0.1.1 Now that I have switched to latest, it works fine.

[asitemade4u]

Maybe it would be a good idea to change the documentation...

[cole-brokamp]

Thank you for the tip! It does sound like documentation won't work as expected using version 0.1.1 of the parcel container, and we should change it to 0.1.4

[asitemade4u]

BTW, DeGAUSS is absolutely amazing. I tried geocoding using Nominatim then Photon and faced serious issues. DeGAUSS was right the first time!

[erikarasnick]

https://degauss.org/dht/articles/calling-degauss-from-R.html

[erikarasnick]

Thanks, @asitemade4u! We have updated the documentation to reference postal:0.1.4.

We appreciate your feedback about DeGAUSS. Would you mind taking our user survey at degauss.org/survey/ ?