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https://github.com/r-lib/fs

Provide cross platform file operations based on libuv.
https://github.com/r-lib/fs

filesystem libuv r

Last synced: 3 months ago
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Provide cross platform file operations based on libuv.

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README 

        
---

output: github_document

---



```{r setup, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

if (basename(getwd()) == "docs") {

  knitr::opts_knit$set(root.dir = file.path(getwd(), ".."))

}

fs:::pkgdown_tmp(c("/tmp/filedd463d6d7e0f", "/tmp/filedd464dbb3467"))

```



# fs fs website



[![lifecycle](https://img.shields.io/badge/lifecycle-maturing-blue.svg)](https://lifecycle.r-lib.org/articles/stages.html#maturing)

[![R-CMD-check](https://github.com/r-lib/fs/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/r-lib/fs/actions/workflows/R-CMD-check.yaml)

[![Codecov test coverage](https://codecov.io/gh/r-lib/fs/branch/main/graph/badge.svg)](https://app.codecov.io/gh/r-lib/fs?branch=main)



**fs** provides a cross-platform, uniform interface to file system operations.

It shares the same back-end component as [nodejs](https://nodejs.org), the

[libuv](https://docs.libuv.org/en/v1.x/fs.html) C library, which brings the

benefit of extensive real-world use and rigorous cross-platform testing. The

name, and some of the interface, is partially inspired by Rust's [fs

module](https://doc.rust-lang.org/std/fs/index.html).



## Installation



You can install the released version of **fs** from [CRAN](https://CRAN.R-project.org) with:



``` r

install.packages("fs")

```



And the development version from [GitHub](https://github.com/) with:

```r

pak::pak("r-lib/fs")

```



## Comparison vs base equivalents



**fs** functions smooth over some of the idiosyncrasies of file handling with

base R functions:



* Vectorization. All **fs** functions are vectorized, accepting multiple paths

  as input. Base functions are inconsistently vectorized.



* Predictable return values that always convey a path. All **fs** functions

  return a character vector of paths, a named integer or a logical vector, where

  the names give the paths. Base return values are more varied: they are often

  logical or contain error codes which require downstream processing.



* Explicit failure. If **fs** operations fail, they throw an error. Base

  functions tend to generate a warning and a system dependent error code. This

  makes it easy to miss a failure.



* UTF-8 all the things. **fs** functions always convert input paths to UTF-8 and

  return results as UTF-8. This gives you path encoding consistency across OSes.

  Base functions rely on the native system encoding.



* Naming convention. **fs** functions use a consistent naming convention.

  Because base R's functions were gradually added over time there are a number

  of different conventions used (e.g. `path.expand()` vs `normalizePath()`;

  `Sys.chmod()` vs `file.access()`).



### Tidy paths



**fs** functions always return 'tidy' paths. Tidy paths



  - Always use `/` to delimit directories

  - never have multiple `/` or trailing `/`



Tidy paths are also coloured (if your terminal supports it) based on the

file permissions and file type. This colouring can be customized or extended by

setting the `LS_COLORS` environment variable, in the same output format as [GNU

dircolors](https://www.bigsoft.co.uk/blog/index.php/2008/04/11/configuring-ls_colors).



## Usage



**fs** functions are divided into four main categories:



  * `path_` for manipulating and constructing paths

  * `file_` for files

  * `dir_` for directories

  * `link_` for links



Directories and links are special types of files, so `file_` functions

will generally also work when applied to a directory or link.



```{r}

library(fs)



# Construct a path to a file with `path()`

path("foo", "bar", letters[1:3], ext = "txt")



# list files in the current directory

dir_ls()



# create a new directory

tmp <- dir_create(file_temp())

tmp



# create new files in that directory

file_create(path(tmp, "my-file.txt"))

dir_ls(tmp)



# remove files from the directory

file_delete(path(tmp, "my-file.txt"))

dir_ls(tmp)



# remove the directory

dir_delete(tmp)

```



**fs** is designed to work well with the pipe, though because it is a

minimal-dependency infrastructure package it doesn't provide the pipe itself.

You will need to attach [magrittr](https://magrittr.tidyverse.org) or similar.



```{r}

library(magrittr)



paths <- file_temp() %>%

  dir_create() %>%

  path(letters[1:5]) %>%

  file_create()

paths



paths %>% file_delete()

```



**fs** functions also work well in conjunction with other

[tidyverse](https://www.tidyverse.org/) packages, like

[dplyr](https://dplyr.tidyverse.org) and [purrr](https://purrr.tidyverse.org).



Some examples...



```{r}

suppressMessages(

  library(tidyverse))

```



Filter files by type, permission and size



```{r}

dir_info("src", recurse = FALSE) %>%

  filter(type == "file", permissions == "u+r", size > "10KB") %>%

  arrange(desc(size)) %>%

  select(path, permissions, size, modification_time)

```



Tabulate and display folder size.



```{r}

dir_info("src", recurse = TRUE) %>%

  group_by(directory = path_dir(path)) %>%

  tally(wt = size, sort = TRUE)

```



Read a collection of files into one data frame.



`dir_ls()` returns a named vector, so it can be used directly with

`purrr::map_df(.id)`.



```{r}

# Create separate files for each species

iris %>%

  split(.$Species) %>%

  map(select, -Species) %>%

  iwalk(~ write_tsv(.x, paste0(.y, ".tsv")))



# Show the files

iris_files <- dir_ls(glob = "*.tsv")

iris_files



# Read the data into a single table, including the filenames

iris_files %>%

  map_df(read_tsv, .id = "file", col_types = cols(), n_max = 2)



file_delete(iris_files)

```



## Feedback wanted!



We hope **fs** is a useful tool for both analysis scripts and packages.

Please open [GitHub issues](https://github.com/r-lib/fs) for any feature requests or bugs.



In particular, we have found non-ASCII filenames in non-English locales on

Windows to be especially tricky to reproduce and handle correctly. Feedback

from users who use commonly have this situation is greatly appreciated.



## Code of Conduct



Please note that the fs project is released with a

[Contributor Code of Conduct](https://fs.r-lib.org/dev/CODE_OF_CONDUCT.html).

By contributing to this project, you agree to abide by its terms.