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name repo files #4

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fixes #3

Before:

yawp::read_repo(repo = "cdcepi/Flusight-forecast-data",
                branch = "master",
                pattern = "data-forecasts/.*/.*\\.csv",
                to_tibble = TRUE,
                .f = readr::read_csv,
                n_files=2,
                col_types="DcDccdd",
                progress=FALSE)
#> # A tibble: 192 × 7
#>    forecast_date target                  target_en…¹ locat…² type  quant…³ value
#>    <date>        <chr>                   <date>      <chr>   <chr>   <dbl> <dbl>
#>  1 2022-10-17    1 wk ahead inc flu hosp 2022-10-22  06      point  NA     221. 
#>  2 2022-10-17    1 wk ahead inc flu hosp 2022-10-22  06      quan…   0.01   81.6
#>  3 2022-10-17    1 wk ahead inc flu hosp 2022-10-22  06      quan…   0.025  83.7
#>  4 2022-10-17    1 wk ahead inc flu hosp 2022-10-22  06      quan…   0.05  108. 
#>  5 2022-10-17    1 wk ahead inc flu hosp 2022-10-22  06      quan…   0.1   148. 
#>  6 2022-10-17    1 wk ahead inc flu hosp 2022-10-22  06      quan…   0.15  179. 
#>  7 2022-10-17    1 wk ahead inc flu hosp 2022-10-22  06      quan…   0.2   189. 
#>  8 2022-10-17    1 wk ahead inc flu hosp 2022-10-22  06      quan…   0.25  200. 
#>  9 2022-10-17    1 wk ahead inc flu hosp 2022-10-22  06      quan…   0.3   209. 
#> 10 2022-10-17    1 wk ahead inc flu hosp 2022-10-22  06      quan…   0.35  212. 
#> # … with 182 more rows, and abbreviated variable names ¹​target_end_date,
#> #   ²​location, ³​quantile

Created on 2022-11-06 with reprex v2.0.2

After:

yawp::read_repo(repo = "cdcepi/Flusight-forecast-data",
                branch = "master",
                pattern = "data-forecasts/.*/.*\\.csv",
                to_tibble = TRUE,
                .f = readr::read_csv,
                n_files=2,
                col_types="DcDccdd",
                progress=FALSE, 
                .id="forecast_filename")
#> # A tibble: 192 × 8
#>    forecast_filename    forecast…¹ target target_e…² locat…³ type  quant…⁴ value
#>    <chr>                <date>     <chr>  <date>     <chr>   <chr>   <dbl> <dbl>
#>  1 2022-10-17-CADPH-Fl… 2022-10-17 1 wk … 2022-10-22 06      point  NA     221. 
#>  2 2022-10-17-CADPH-Fl… 2022-10-17 1 wk … 2022-10-22 06      quan…   0.01   81.6
#>  3 2022-10-17-CADPH-Fl… 2022-10-17 1 wk … 2022-10-22 06      quan…   0.025  83.7
#>  4 2022-10-17-CADPH-Fl… 2022-10-17 1 wk … 2022-10-22 06      quan…   0.05  108. 
#>  5 2022-10-17-CADPH-Fl… 2022-10-17 1 wk … 2022-10-22 06      quan…   0.1   148. 
#>  6 2022-10-17-CADPH-Fl… 2022-10-17 1 wk … 2022-10-22 06      quan…   0.15  179. 
#>  7 2022-10-17-CADPH-Fl… 2022-10-17 1 wk … 2022-10-22 06      quan…   0.2   189. 
#>  8 2022-10-17-CADPH-Fl… 2022-10-17 1 wk … 2022-10-22 06      quan…   0.25  200. 
#>  9 2022-10-17-CADPH-Fl… 2022-10-17 1 wk … 2022-10-22 06      quan…   0.3   209. 
#> 10 2022-10-17-CADPH-Fl… 2022-10-17 1 wk … 2022-10-22 06      quan…   0.35  212. 
#> # … with 182 more rows, and abbreviated variable names ¹​forecast_date,
#> #   ²​target_end_date, ³​location, ⁴​quantile

Created on 2022-11-06 with reprex v2.0.2

No errors/warnings. Did get a NOTE:

❯ checking dependencies in R code ... NOTE
  Namespaces in Imports field not imported from:
    ‘lifecycle’ ‘patchwork’ ‘readr’
    All declared Imports should be used.

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Name the repo files before reading
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@stephenturner