Version 0.6.1

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: tidyhydat
 Title: Extract and Tidy Canadian 'Hydrometric' Data
-Version: 0.6.0.9000
+Version: 0.6.1
 Authors@R: c(person("Sam", "Albers", email = "[email protected]", role = c("aut", "cre"),
     comment = c(ORCID = "0000-0002-9270-7884")),
     person("David", "Hutchinson", email = "[email protected]", role = "ctb"),

NEWS.md

@@ -1,6 +1,7 @@
 # tidyhydat 0.6.1
 - Add `...` to print methods so you can pass arguments all the way down. 
-- Add workaround for vroom#519 bug that prevents `realtime_*` fucntions from working
+- Add workaround for vroom#519 bug that prevents `realtime_*` functions from working
+- `realtime_ws` now returns the `Approval/Approbation` column as a character vector rather than a integer. ECCC is now putting non-integers in that column so this is a less strict formatting solution. 
 
 # tidyhydat 0.6.0
 - Add capability to access ECCC webservice. The return of `realtime_ws`!

R/realtime-webservice.R

@@ -68,11 +68,10 @@
 
 realtime_ws <- function(station_number, parameters = NULL,
                         start_date = Sys.Date() - 30, end_date = Sys.Date()) {
-  # if (length(station_number) >= 300) {
-  #  stop("Only 300 stations are supported for one request. If more stations are required,
-  #       a separate request should be issued to include the excess stations. This second request can
-  #       be issued on the same token if it isn't required.")
-  # }
+  if (is_mac()) {
+    # temporary patch to work around vroom 1.6.4 bug
+    readr::local_edition(1)
+  }
 
   if (is.null(parameters)) parameters <- c(46, 16, 52, 47, 8, 5, 41, 18)
 
@@ -146,7 +145,8 @@ realtime_ws <- function(station_number, parameters = NULL,
     get_ws,
     type = "text/csv",
     encoding = "UTF-8",
-    col_types = "cTidcci")
+    col_types = "cTidccc"
+    )
 
   ## Check here to see if csv_df has any data in it
   if (nrow(csv_df) == 0) {

README.Rmd

@@ -17,7 +17,7 @@ knitr::opts_chunk$set(
 
 
 <!-- badges: start -->
-[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/license/apache-2-0/) [![Coverage status](https://codecov.io/gh/ropensci/tidyhydat/branch/master/graph/badge.svg)](https://codecov.io/github/ropensci/tidyhydat?branch=master) 
+[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/license/apache-2-0/)ß
 [![R build status](https://github.com/ropensci/tidyhydat/workflows/R-CMD-check/badge.svg)](https://github.com/ropensci/tidyhydat/actions)
 
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README.md

@@ -4,9 +4,7 @@
 
 <!-- badges: start -->
 
-[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/license/apache-2-0/)
-[![Coverage
-status](https://codecov.io/gh/ropensci/tidyhydat/branch/master/graph/badge.svg)](https://codecov.io/github/ropensci/tidyhydat?branch=master)
+[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/license/apache-2-0/)ß
 [![R build
 status](https://github.com/ropensci/tidyhydat/workflows/R-CMD-check/badge.svg)](https://github.com/ropensci/tidyhydat/actions)
 
@@ -86,23 +84,24 @@ the same conventions discussed above. Using `realtime_dd()` we can
 easily select specific stations by supplying a station of interest:
 
     realtime_dd(station_number = "08MF005")
-    #>   Queried on: 2023-04-04 12:54:46 (UTC)
-    #>   Date range: 2023-03-05 to 2023-04-04 
-    #> # A tibble: 17,118 × 8
-    #>    STATION_NUMBER PROV_TE…¹ Date                Param…² Value Grade Symbol Code 
-    #>    <chr>          <chr>     <dttm>              <chr>   <dbl> <chr> <chr>  <chr>
-    #>  1 08MF005        BC        2023-03-05 08:00:00 Flow      571 <NA>  <NA>   1    
-    #>  2 08MF005        BC        2023-03-05 08:05:00 Flow      572 <NA>  <NA>   1    
-    #>  3 08MF005        BC        2023-03-05 08:10:00 Flow      571 <NA>  <NA>   1    
-    #>  4 08MF005        BC        2023-03-05 08:15:00 Flow      571 <NA>  <NA>   1    
-    #>  5 08MF005        BC        2023-03-05 08:20:00 Flow      571 <NA>  <NA>   1    
-    #>  6 08MF005        BC        2023-03-05 08:25:00 Flow      572 <NA>  <NA>   1    
-    #>  7 08MF005        BC        2023-03-05 08:30:00 Flow      572 <NA>  <NA>   1    
-    #>  8 08MF005        BC        2023-03-05 08:35:00 Flow      571 <NA>  <NA>   1    
-    #>  9 08MF005        BC        2023-03-05 08:40:00 Flow      572 <NA>  <NA>   1    
-    #> 10 08MF005        BC        2023-03-05 08:45:00 Flow      573 <NA>  <NA>   1    
-    #> # … with 17,108 more rows, and abbreviated variable names ¹​PROV_TERR_STATE_LOC,
-    #> #   ²​Parameter
+    #>   Queried on: 2024-01-09 05:08:33.18974 (UTC)
+    #>   Date range: 2023-12-10 to 2024-01-09 
+    #> # A tibble: 10,972 × 8
+    #>    STATION_NUMBER PROV_TERR_STATE_LOC Date               
+    #>    <chr>          <chr>               <dttm>             
+    #>  1 08MF005        BC                  2023-12-10 08:00:00
+    #>  2 08MF005        BC                  2023-12-10 08:05:00
+    #>  3 08MF005        BC                  2023-12-10 08:10:00
+    #>  4 08MF005        BC                  2023-12-10 08:15:00
+    #>  5 08MF005        BC                  2023-12-10 08:20:00
+    #>  6 08MF005        BC                  2023-12-10 08:25:00
+    #>  7 08MF005        BC                  2023-12-10 08:30:00
+    #>  8 08MF005        BC                  2023-12-10 08:35:00
+    #>  9 08MF005        BC                  2023-12-10 08:40:00
+    #> 10 08MF005        BC                  2023-12-10 08:45:00
+    #> # ℹ 10,962 more rows
+    #> # ℹ 5 more variables: Parameter <chr>, Value <dbl>,
+    #> #   Grade <chr>, Symbol <chr>, Code <chr>
 
 Or we can use `realtime_ws`:
 
@@ -112,27 +111,24 @@ Or we can use `realtime_ws`:
       start_date = Sys.Date() - 14,
       end_date = Sys.Date()
     )
-    #> Warning: One or more parsing issues, call `problems()` on your data frame for details,
-    #> e.g.:
-    #>   dat <- vroom(...)
-    #>   problems(dat)
     #> All station successfully retrieved
     #> All parameters successfully retrieved
-    #> # A tibble: 4,384 × 10
-    #>    STATIO…¹ Date                Name_En Value Unit  Grade Symbol Appro…² Param…³
-    #>    <chr>    <dttm>              <chr>   <dbl> <chr> <chr> <chr>    <int>   <dbl>
-    #>  1 08MF005  2023-03-21 00:00:00 Water …  5.06 °C    -1    <NA>        NA       5
-    #>  2 08MF005  2023-03-21 01:00:00 Water …  4.65 °C    -1    <NA>        NA       5
-    #>  3 08MF005  2023-03-21 02:00:00 Water …  4.63 °C    -1    <NA>        NA       5
-    #>  4 08MF005  2023-03-21 03:00:00 Water …  4.22 °C    -1    <NA>        NA       5
-    #>  5 08MF005  2023-03-21 04:00:00 Water …  4.4  °C    -1    <NA>        NA       5
-    #>  6 08MF005  2023-03-21 05:00:00 Water …  3.94 °C    -1    <NA>        NA       5
-    #>  7 08MF005  2023-03-21 06:00:00 Water …  4    °C    -1    <NA>        NA       5
-    #>  8 08MF005  2023-03-21 07:00:00 Water …  4    °C    -1    <NA>        NA       5
-    #>  9 08MF005  2023-03-21 08:00:00 Water …  3.76 °C    -1    <NA>        NA       5
-    #> 10 08MF005  2023-03-21 09:00:00 Water …  3.7  °C    -1    <NA>        NA       5
-    #> # … with 4,374 more rows, 1 more variable: Code <chr>, and abbreviated variable
-    #> #   names ¹​STATION_NUMBER, ²​Approval, ³​Parameter
+    #> # A tibble: 1,323 × 10
+    #>    STATION_NUMBER Date                Name_En    Value Unit 
+    #>    <chr>          <dttm>              <chr>      <dbl> <chr>
+    #>  1 08MF005        2023-12-25 00:00:00 Water tem…  5.14 °C   
+    #>  2 08MF005        2023-12-25 01:00:00 Water tem…  5.12 °C   
+    #>  3 08MF005        2023-12-25 02:00:00 Water tem…  5.11 °C   
+    #>  4 08MF005        2023-12-25 03:00:00 Water tem…  5.1  °C   
+    #>  5 08MF005        2023-12-25 04:00:00 Water tem…  5.1  °C   
+    #>  6 08MF005        2023-12-25 05:00:00 Water tem…  5.07 °C   
+    #>  7 08MF005        2023-12-25 06:00:00 Water tem…  5.06 °C   
+    #>  8 08MF005        2023-12-25 07:00:00 Water tem…  5.04 °C   
+    #>  9 08MF005        2023-12-25 08:00:00 Water tem…  5.02 °C   
+    #> 10 08MF005        2023-12-25 09:00:00 Water tem…  5    °C   
+    #> # ℹ 1,313 more rows
+    #> # ℹ 5 more variables: Grade <chr>, Symbol <chr>,
+    #> #   Approval <chr>, Parameter <dbl>, Code <chr>
 
 ## Compare realtime\_ws and realtime\_dd
 
@@ -195,12 +191,12 @@ By participating in this project you agree to abide by its terms.
 
 Get citation information for `tidyhydat` in R by running:
 
-
     To cite package 'tidyhydat' in publications use:
 
-      Albers S (2017). "tidyhydat: Extract and Tidy Canadian Hydrometric
-      Data." _The Journal of Open Source Software_, *2*(20).
-      doi:10.21105/joss.00511 <https://doi.org/10.21105/joss.00511>,
+      Albers S (2017). "tidyhydat: Extract and Tidy
+      Canadian Hydrometric Data." _The Journal of Open
+      Source Software_, *2*(20). doi:10.21105/joss.00511
+      <https://doi.org/10.21105/joss.00511>,
       <http://dx.doi.org/10.21105/joss.00511>.
 
     A BibTeX entry for LaTeX users is

cran-comments.md

@@ -5,7 +5,8 @@ There were zero WARNINGS and zero ERRORS.
 
 ## NEWS
 - Add `...` to print methods so you can pass arguments all the way down. 
-- Add workaround for vroom#519 bug that prevents `realtime_*` fucntions from working
+- Add workaround for vroom#519 bug that prevents `realtime_*` functions from working
+- `realtime_ws` now returns the `Approval/Approbation` column as a character vector rather than a integer. ECCC is now putting non-integers in that column so this is a less strict formatting solution. 
 
 ## Test environments
 * win-builder (via `devtools::check_win_devel()` and `devtools::check_win_release()`)