Question - "threw error" <> 0 but no failures in plot

[jonysafi]

Hi,
First, great job on the package. I have been testing it the whole week and want to adopt it for a lot of things I am doing.

I have the following scenario:

I am building a set of rules to validate a dataframe (source is csv file).

The dataframe structure is:

> str(df)
'data.frame':	585 obs. of  6 variables:
 $ dt_collect    : POSIXct, format: "2019-09-20" "2019-09-21" "2019-09-22" "2019-09-23" ...
 $ attrib	     : chr  "A" "A" "A" "A" ...
 $ num1          : num  0.99 1 1.01 0.99 0.99 1 1 0.96 0.94 0.95 ...
 $ num2          : num  21.9 22.4 22.7 22.8 22.9 ...
 $ num3          : num  2.22 2.3 2.2 2.19 2.15 2.56 2.75 2.96 3 2.97 ...
 $ num4          : num  22.1 22.6 22.8 22.9 22.9 ...

The rules look like:
rules <- validator(is_unique(attrib, dt_collect),
                   length(unique(dt_collect)) >= 365,
                   in_range(dt_collect, min = min(dt_collect), max = max(dt_collect)),
                   is.POSIXct(dt_collect),
                   is.character(attrib),
                   is.numeric(num1),
                   is.numeric(num2),
                   is.numeric(num3),
                   is.numeric(num4)) 

When I run the confront:

out <- confront(df, rules)

I see the below:

Object of class 'validation'
Call:
    confront(dat = df, x = rules)

Rules confronted: 9
   With fails   : 0
   With missings: 0
   Threw warning: 0
   **Threw error  : 1**

The df_out <- as.data.frame(summary(out)) shows the below:

  name items passes fails nNA error warning                                                         expression
1   V1   585    585     0   0 FALSE   FALSE                                       is_unique(attrib, dt_collect)
2   V2     1      1     0   0 FALSE   FALSE                                  length(unique(dt_collect)) >= 365
3   V3   585    585     0   0 FALSE   FALSE  in_range(dt_collect, min = min(dt_collect), max = max(dt_collect))
4   V4     0      0     0   0  **TRUE**   FALSE                                              is.POSIXct(dt_collect)
5   V5     1      1     0   0 FALSE   FALSE                                        		   is.character(attrib)
6   V6     1      1     0   0 FALSE   FALSE                                                    is.numeric(num1)
7   V7     1      1     0   0 FALSE   FALSE                                                    is.numeric(num2)
8   V8     1      1     0   0 FALSE   FALSE                                                    is.numeric(num3)
9   V9     1      1     0   0 FALSE   FALSE                                                    is.numeric(num4)				

The plot(out) comes in green.
My question is: What threw an error? is the is.POSIXct? if so (where TRUE is mentioned) then what is the error and why it is not reported clearly?

The dt_collect comes as chr from the csv file, I can use as.Date or as.POSIXct to work with is. However, both is.Date and is.POSIXct in the rules shows the same behavior mentioned above.

Thank you,

[markvanderloo]

Hi, please try

errors(out)

to get the explicit error message. You can also get the error thrown immediately, by doing

confront(df, rules, raise="all")