From 0db26c769e5b8b4bbf780d6f2e34c41041219e9a Mon Sep 17 00:00:00 2001 From: Jon Harmon Date: Fri, 24 Nov 2023 14:04:35 -0600 Subject: [PATCH] Update chapter 3 slides. --- 03-package-structure.Rmd | 349 +++--------------- images/03-package-structure/install-load.png | Bin 0 -> 153565 bytes .../Screen Shot 2022-04-20 at 5.19.02 PM.png | Bin 78553 -> 0 bytes images/04/installation.png | Bin 19928 -> 0 bytes images/04/package-files.png | Bin 46718 -> 0 bytes 5 files changed, 52 insertions(+), 297 deletions(-) create mode 100644 images/03-package-structure/install-load.png delete mode 100644 images/04/Screen Shot 2022-04-20 at 5.19.02 PM.png delete mode 100644 images/04/installation.png delete mode 100644 images/04/package-files.png diff --git a/03-package-structure.Rmd b/03-package-structure.Rmd index bb88243..5dc2827 100644 --- a/03-package-structure.Rmd +++ b/03-package-structure.Rmd @@ -2,322 +2,77 @@ **Learning objectives:** -- Convert implicit knowledge into the explicit knowledge to create and modify R packages -- Learn about the various states a package -- Identify the difference between a package and library -- Understand the use of `.Rbuildignore` +- Describe the 5 (+1) states of a package. +- Recognize the differences between a source package and a bundled package. +- Use `.Rbuildignore` to mark files for use only in the source package. -## Package states +## Package states {-} -- When you create or modify a package, you work on its *source code* or *source files* -- You interact with the in-development package in its **source** form +- Source: Raw form, editable +- Bundled: Compressed to a single archive file (`.tar.gz`) +- Binary: ~Compiled, OS Specific +- Installed: Decompressed into a local package library +- In memory: Explicitly loaded for use +- (Repository: Source or bundle, hosted on a server) -R Packages can be in five different states: +## Package state transitions {-} -- source: Raw form, editable -- bundled: Compressed to a single archive file (.tar) -- binary: Compiled, OS Specific (Windows or Mac). It is implied Linux already has the ability to compile if required. -- installed: Decompressed into a package library -- in-memory: Explicitly referenced for use +The rest of this chapter digs into the differences & transitions -Function calls like `install.packages()` and `devtools::install_github()` move a package from source, bundled, or binary states into the installed state. Functions like `library()` bring your package into memory for immediate use. +[![R Packages 2e, Figure 3.2. A chart showing different ways to go from one package state to another: 1. library() puts an installed package into memory. 2. Functions such as install.packages(), devtools::install_github(), and devtools::install() can install a package starting variously in the source, bundle, or binary forms. 3. devtools::build() can create a bundle or a binary. 4. devtools::load_all() puts a source package into memory.](images/03-package-structure/install-load.png)](https://r-pkgs.org/structure.html#fig-installation) -## Source package +## Source vs bundle {-} -- A **source** package is just a directory of files with a specific structure -- **Source** package contains a `DESCRIPTION` file, and `R` directory containing `.R` files, etc... +- Source = the rest of this book +- Bundle = compressed ~subset of source + - `vignettes/article.Rmd` → + - `build/vignette.rds` (all vignettes) + - `inst/doc/article.R` + - `inst/doc/article.Rmd` + - `inst/doc/article.html` + - `vignettes/article.Rmd` + - Files from `.Rbuildignore` are excluded -Some of our group have mentioned authoring or writing packages. Many, this is a new subject. Therefore you can view source files by first navigating to CRAN and by extension to its source repository. (Please correct me if my terminology is incorrect). +## .Rbuildignore {-} -Examples of CRAN landing page: +- `.Rbuildignore` = files for you to use while developing +- Add files with `usethis::use_build_ignore()` +- Usualy `{usethis}` functions will add things +- Be careful about regex formatting -- [forcats](https://cran.r-project.org/package=forcats) -- [readxl](https://cran.r-project.org/package=readxl) +## Bundle vs binary {-} -Examples of GitHub/GitLab (or equivelent) version storage: +Bundle = platform-specific -- [forcats](https://github.com/tidyverse/forcats) -- [readxl](https://github.com/tidyverse/readxl) +- `R/*.R` to `R/*.rdb`, etc (efficient storage of pkg contents) +- `Meta` dir with pkg metadata as `.rds` +- `man` (help) to `html` (index) + `help` +- `src` to `libs` (compiled code) +- `data` converted to more efficient form +- `inst` to top-level directory +- Extraneous files and folders (`README.md`, `build/` `tests`, `vignettes`) dropped -> Note: Some maintainers fail to link their source repos. In this case, google is your friend! +## Installed packages {-} -Even if a package is not developed on a public platform, you can visit its source in the [unofficial, read-only mirror maintained by R-hub](https://docs.r-hub.io/#cranatgh). +Installed = on your system, ready to use -Examples: +[![R Packages 2e, Figure 3.2. A chart showing different ways to go from one package state to another: 1. library() puts an installed package into memory. 2. Functions such as install.packages(), devtools::install_github(), and devtools::install() can install a package starting variously in the source, bundle, or binary forms. 3. devtools::build() can create a bundle or a binary. 4. devtools::load_all() puts a source package into memory.](images/03-package-structure/install-load.png)](https://r-pkgs.org/structure.html#fig-installation) -- [MASS](https://github.com/cran/MASS) -- [car](https://github.com/cran/car) +## In-memory packages {-} -> Note: This mirror is not the same as exploring the package’s true development venue, because this source and its evolution is just reverse-engineered from the package’s CRAN releases. +- `library(usethis)` loads installed `{usethis}` into memory + - (technically also attaches it to search path, more in Section 10.4) +- `devtools::load_all()` (`Ctrl + Shift + L`) loads source pkg into memory -## Bundled package +## Libraries, library(), require(), and packages {-} -- A **bundled** package is a package that’s been compressed into a single file -- By extension of Linux, **source tarballs** or `tar.gz` files - - Implying, source files and directories have been archived using the tar utility - - `.tar` stands for **T**ape **Ar**chive - - creates one file out of many files (with some compression) - - The files are fully compressed using `gzip` or *GNU Zip* - - gzip creates the `.gz` extension -- a **bundled** package is not source nor installed, but rather, an OS-agnostic storage medium - -If you need to bundle a package your developing, use `devtools::build()`. - -*TLDR*: The `devtools::build()` calls `pkgbuild::build()` under the hood and ultimately `R CMD build`. For more information see [Building package tarballs](https://cran.r-project.org/doc/manuals/R-exts.html#Building-package-tarballs). - -All CRAN packages are available in *bundled* form and can be downloaded from their CRAN landing page. - -On Mac or Linux, run the following, from shell/terminal, to decompress and un-archive: - -```{bash, UnTar, eval=FALSE} -tar xvf forcats_0.4.0.tar.gz -``` - -Quick explanation, you are calling on the `tar` utility. `-x` is *extract*, `-v` is *verbose* (show the output...makes you feel good to know something is happening), and `-f` is *filename*, uses the same filename as the archive. - -Windows users, I'm sorry, you're going to have to use some type of utility like 7-Zip, WinZip, or WinRAR to decompress and un-archive. Windows does not have a native utility to accomplish this action. (Feel welcome to share your PowerShell examples if I'm incorrect). - -> Note: A bit of research turns up, the `tar` utility was added to Windows 10, circa 2018. Earlier versions of Windows would require a third-party application. - -```{r package-files, echo = FALSE, out.width = "100%", fig.cap = "Side-by-side comparison of source, bundled, and binary package."} -knitr::include_graphics("images/04/package-files.png") -``` - -The main differences between a source package and an uncompressed bundle are: - -- Vignettes have been built, so rendered outputs, such as HTML, appear below `inst/doc/` and a vignette index appears in the `build/` directory, usually alongside a PDF package manual. - -- A local source package might contain temporary files used to save time during development, like compilation artifacts in `src/`. These are never found in a bundle. - -- Any files listed in `.Rbuildignore` are not included in the bundle. These are typically files that facilitate your development process, but that should be excluded from the distributed product. - -### .Rbuildignore -It is rare to contemplate the `.tar.gz` structure. However, it ***IS*** important to understand the `.Rbuildignore` file. - -- `Rbuildignore` controls which files from the source package make it into the downstream forms - - The concept is similar to other `.*ignore` files. - - Exclude versus Include -- Each line of `.Rbuildignore` is a Perl-compatible regular expression - - case insensitive - - if the regex matches, the file is excluded -- You must **anchor** the regular expression - - for example `^notes$` will exclude any filename string containing *notes*. -- a less specific (or more automated method) is to use `usethis::use_build_ignore("notes")` - -`Rbuildignore` is a means to compromise your development environment with CRAN's requirements. - -The affected files fall into two broad, semi-overlapping classes: - -- Files that help you generate package contents programmatically. Examples: - - Using README.Rmd to generate an informative and current README.md. - - Storing .R scripts to create and update internal or exported data. -- Files that drive package development, checking, and documentation, outside of CRAN’s purview. Examples: - - Files relating to the RStudio IDE. - - Using the pkgdown package to generate a website. - - Configuration files related to continuous integration/deployment and monitoring test coverage. - -A non-exhaustive list of typical entries in the .Rbuildignore file - -```{r, Non-Exhaustive list of .Rbuildignore entries, eval=FALSE} -^.*\.Rproj$ # Designates the directory as an RStudio Project -^\.Rproj\.user$ # Used by RStudio for temporary files -^README\.Rmd$ # An Rmd file used to generate README.md -^LICENSE\.md$ # Full text of the license -^cran-comments\.md$ # Comments for CRAN submission -^data-raw$ # Code used to create data included in the package -^pkgdown$ # Resources used for the package website -^_pkgdown\.yml$ # Configuration info for the package website -^\.github$ # Contributing guidelines, CoC, issue templates, etc. -``` - -> Note: The commmented text above should not be included in the `Rbuildignore` file and are only used for explination of each entry. - -> Note: Remember that `usethis::use_build_ignore()` is an attractive way to manage this file. - -## Binary package - - Binary packages are used when a colleague doesn't have development tools installed - - Uses a single file - - Binary packages are OS-specific - - Mac: `.tgz` - - Windows: `.zip` - - Linux: generally already have libraries capable of working with binary packages - - To make a binary package use `devtools::build(binary=TRUE)` - - Under the hood, calls `pkgbuild::build(binary=TRUE)` and ultimately `R CMD INSTALL --build` - - For more information see [Building binary packages](https://cran.r-project.org/doc/manuals/R-exts.html#Building-binary-packages) section of [Writing R Extensions](https://cran.r-project.org/doc/manuals/R-exts.html) - -> The primary maker and distributor of binary is CRAN, not individual maintainers. - - - Examples of downloading binary packages (image) - -```{r, echo = FALSE, out.width = "100%", fig.cap = "Forcats CRAN Binary Download Options"} -knitr::include_graphics("images/04/Screen Shot 2022-04-20 at 5.19.02 PM.png") -``` - - - Ironically, this download process is exactly what is happening when you call `install.packages()` - - Decompressing a binary packages looks rather different from source or bundled package forms - - Notible Differences: - - There are no `.R` files in `R/` directory. Instead a more *efficient* form is used - - `Meta/` directory contains a number or `.rds` files - - Actual `help/` and `html/` are used instead of `man/` - - If you had any code in `src/` directory, it will not be in `libs/` - - Windows binary also contains `i386/` and `x64/` for 32 or 64 bit environments - - Anything in `data/` is converted to more efficient forms - - Contents of `inst/` are moved to top-level (for example vignette files are not in `doc/`) - - Some files and folders have been dropped such as `README`, `build/`, `test/`, and `vignettes/` - -```{bash, Tree output of Decompressed binary package, eval=FALSE} -. -├── DESCRIPTION -├── INDEX -├── LICENSE -├── Meta -│ ├── Rd.rds -│ ├── data.rds -│ ├── features.rds -│ ├── hsearch.rds -│ ├── links.rds -│ ├── nsInfo.rds -│ ├── package.rds -│ └── vignette.rds -├── NAMESPACE -├── NEWS.md -├── R -│ ├── forcats -│ ├── forcats.rdb -│ └── forcats.rdx -├── data -│ ├── Rdata.rdb -│ ├── Rdata.rds -│ └── Rdata.rdx -├── doc -│ ├── forcats.R -│ ├── forcats.Rmd -│ ├── forcats.html -│ └── index.html -├── help -│ ├── AnIndex -│ ├── aliases.rds -│ ├── figures -│ │ ├── README-ordered-plot-1.png -│ │ ├── README-unordered-plot-1.png -│ │ └── logo.png -│ ├── forcats.rdb -│ ├── forcats.rdx -│ └── paths.rds -└── html - ├── 00Index.html - └── R.css - -7 directories, 33 files -``` - - -## Installed package -- Installed package is a binary package that has been decompressed into a package library - -> WARNING, COMPLICATED FIGURE AHEAD! LETS DISCUSS IT! - -- In a perfect world, stringing together a set of simple steps: source -> bundle, bundle -> binary, binary -> installed - - In the *REAL* world, it isn't as simple - -```{r installation, echo = FALSE, out.width = "100%", fig.cap = "Many methods for converting between package states."} -knitr::include_graphics("images/04/installation.png") -``` - -The cool part of this process, and why this figure is important is, the `R CMD INSTALL` is the primary service for all forms of packaging. For more information check out [Installing packages section](https://cran.r-project.org/doc/manuals/R-admin.html#Installing-packages) of [Installing packages section](https://cran.r-project.org/doc/manuals/R-admin.html#Installing-packages). - -- Devtools exposes a family of `install_*()` to address needs beyond only `install.packages()`. Again, more information can be found in [remotes package](https://remotes.r-lib.org/). - - -```{r, Library "Remotes", eval = TRUE} -library(remotes) - -funs <- as.character(lsf.str("package:remotes")) -grep("^install_.+", funs, value = TRUE) -``` - -- `install_github()` is the flagship example of this remots library. -- using devtools/remotes `install_*()` functions aim at making things possible with base tooling a bit easier or more explicit - - Example is `install_version()` which installs a specific version of a CRAN package - -- `.Rinstignore` lets you keep files present in a package bundle out of the installed package. The use of `.Rinstignore` is rather obscure or rarely needed - -> TODO: Revisit this section later with respect to pak https://pak.r-lib.org. - -## In-memory package - -Let's discuss `library(usethis)`. - -```{r, UseThis in action, eval=FALSE} -library(usethis) - -create_package("~/newpackage") -``` - -- `usethis` package has been loaded into memory and attached to the search path - - Loading and Attaching packages is not important during writing scripts....***IT IS EXTREMELY IMPORTANT WHEN WRITING PACKAGES*** - - See [search path](https://r-pkgs.org/namespace.html#search-path) for more details - -We will learn in section 5.4 "Test drive with `load_all()`" how `devtools::load_all()` accelerates development, allowing you to load a source package directly to memory. - -## Package libraries -When calling `library(foo)`, R looks through the current libraries for an installed package *foo*, and if successful, makes it available. - ->Definition: **Library**: is a directory containing installed packages. - ->Definition: **Packages**: are functional instructions to process information. - -- These terms are often misused and reinforced within our vernacular (language dictionary). - -> We use the `library()` function to load a **package**. - -- As package prospect R Package Developers, it is a good idea to set the distinction between **library** and **package** early - -- To see `.libPaths()` on Windows, use the following function call: - -```{r, Windows .libPaths() output, eval = FALSE} -.libPaths() - -lapply(.libPaths(), list.dirs, recursive = FALSE, full.names = FALSE) -``` - -- To see `.libPaths() on macOS, use the following function call: - -```{r, macOS .libPaths() output, eval = FALSE} -.libPaths() - -lapply(.libPaths(), list.dirs, recursive = FALSE, full.names = FALSE) -``` - -> NOTE TO SELF...THESE ARE THE SAME CALLS - -Considering the output, we view two things: - -1. A user library -2. A system-level or global library - -A user library is typical for a Windows installation, but an *opt-in* for Mac Users. Depending on your development environment the idea would mean, I can delete my user packages but maintain my base R installation. *(Lets discuss this for a moment)*. - -If you’re on macOS and only see one library, there is no urgent need to change anything. But next time you upgrade R, consider creating a user-level library. By default, R looks for a user library found at the path stored in the environment variable `R_LIBS_USER`, which itself defaults to `~/Library/R/x.y/library`. When you install, `R x.y.z` and prior to installing any add-on packages, use `dir.create("~/Library/R/x.y/library")` to set up a user library. Now you will have the library setup seen above. Alternatively, you could setup a user library elsewhere and tell R about that by setting the `R_LIBS_USER` environment variable in `.Renviron`. - -- In is implied you need to re-install user packages for a minor version of R. (3.5.0 to 3.6.0). You generally do not require this for a patch release (3.6.0 to 3.6.1). - ->NOTE: The x.y.z reference previously can also be read as *major.minor.patch* and is common within software engineering. - -- As we grow and become more sophisticated, our management of packages will become more intricate. - -- Examples like `renv` and its predecessor `packrat()` automate the process of managing project-specific libraries - - An example woudl be loading specific versions of an environment to test forward and backward compatibility - - Reverse dependency checks are another example of managing the library search path - -The main levers that control which libraries are active: - -- Environment variables, like `R_LIBS` and `R_LIBS_USER`, which are consulted at startup -- Calling `.libPaths()` with one or more filepaths -- Executing small snippets of code with a temporarily altered library search path via `withr::with_libpaths()` -- Arguments to individual functions, like `install.packages(lib =)` and `library(lib.loc =)`. - ->NOTE: `library()` should NEVER be used inside a package. There are other mechinisims for declaring dependencies. We'll discuss this more in chapter 13. +- A **package** is a collection of R code +- A **library** is a directory of installed packages + - In many languages, "library" means what "package" means in R + - [See book about setting up user library with new R installation](https://r-pkgs.org/structure.html#sec-library) (`dir.create(Sys.getenv("R_LIBS_USER"), recursive = TRUE)`) +- `library("pkg", lib.loc = "mylib")` loads `pkg` from `mylib` into memory + - NEVER use inside a package +- `require("pkg", lib.loc = "mylib")` does same but only *warns* if `pkg` is missing ## Meeting Videos diff --git a/images/03-package-structure/install-load.png b/images/03-package-structure/install-load.png new file mode 100644 index 0000000000000000000000000000000000000000..ec4c8266105382c6b1afb0698e462358c603597f GIT binary patch literal 153565 zcmeFZhdY;8>w$WUq`vvd59^ z)$cmJLa+Dd{l5MFf$!_qE2rZ*9?!?)ab4H_x?lI}`A|hkmV%6q3=a>FLhkxCH9S0G zc|1HqM-l?~hS~dhFZ{rFR+GJghx~GC3jPscrY(0zQ4x<5K9k@b#6O640Cxx;9FI@^ 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