aa7d7d0cc3
# Description This grew quite a bit beyond its original scope, but I've tried to make `$in` a bit more consistent and easier to work with. Instead of the parser generating calls to `collect` and creating closures, this adds `Expr::Collect` which just evaluates in the same scope and doesn't require any closure. When `$in` is detected in an expression, it is replaced with a new variable (also called `$in`) and wrapped in `Expr::Collect`. During eval, this expression is evaluated directly, with the input and with that new variable set to the collected value. Other than being faster and less prone to gotchas, it also makes it possible to typecheck the output of an expression containing `$in`, which is nice. This is a breaking change though, because of the lack of the closure and because now typechecking will actually happen. Also, I haven't attempted to typecheck the input yet. The IR generated now just looks like this: ```gas collect %in clone %tmp, %in store-variable $in, %tmp # %out <- ...expression... <- %in drop-variable $in ``` (where `$in` is the local variable created for this collection, and not `IN_VARIABLE_ID`) which is a lot better than having to create a closure and call `collect --keep-env`, dealing with all of the capture gathering and allocation that entails. Ideally we can also detect whether that input is actually needed, so maybe we don't have to clone, but I haven't tried to do that yet. Theoretically now that the variable is a unique one every time, it should be possible to give it a type - I just don't know how to determine that yet. On top of that, I've also reworked how `$in` works in pipeline-initial position. Previously, it was a little bit inconsistent. For example, this worked: ```nushell > 3 | do { let x = $in; let y = $in; print $x $y } 3 3 ``` However, this causes a runtime variable not found error on the second `$in`: ```nushell > def foo [] { let x = $in; let y = $in; print $x $y }; 3 | foo Error: nu:🐚:variable_not_found × Variable not found ╭─[entry #115:1:35] 1 │ def foo [] { let x = $in; let y = $in; print $x $y }; 3 | foo · ─┬─ · ╰── variable not found ╰──── ``` I've fixed this by making the first element `$in` detection *always* happen at the block level, so if you use `$in` in pipeline-initial position anywhere in a block, it will collect with an implicit subexpression around the whole thing, and you can then use that `$in` more than once. In doing this I also rewrote `parse_pipeline()` and hopefully it's a bit more straightforward and possibly more efficient too now. Finally, I've tried to make `let` and `mut` a lot more straightforward with how they handle the rest of the pipeline, and using a redirection with `let`/`mut` now does what you'd expect if you assume that they consume the whole pipeline - the redirection is just processed as normal. These both work now: ```nushell let x = ^foo err> err.txt let y = ^foo out+err>| str length ``` It was previously possible to accomplish this with a subexpression, but it just seemed like a weird gotcha that you couldn't do it. Intuitively, `let` and `mut` just seem to take the whole line. - closes #13137 # User-Facing Changes - `$in` will behave more consistently with blocks and closures, since the entire block is now just wrapped to handle it if it appears in the first pipeline element - `$in` no longer creates a closure, so what can be done within an expression containing `$in` is less restrictive - `$in` containing expressions are now type checked, rather than just resulting in `any`. However, `$in` itself is still `any`, so this isn't quite perfect yet - Redirections are now allowed in `let` and `mut` and behave pretty much how you'd expect # Tests + Formatting Added tests to cover the new behaviour. # After Submitting - [ ] release notes (definitely breaking change) |
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.cargo | ||
.githooks | ||
.github | ||
assets | ||
benches | ||
crates | ||
devdocs | ||
docker | ||
scripts | ||
src | ||
tests | ||
wix | ||
.gitattributes | ||
.gitignore | ||
Cargo.lock | ||
Cargo.toml | ||
CITATION.cff | ||
CODE_OF_CONDUCT.md | ||
CONTRIBUTING.md | ||
Cross.toml | ||
LICENSE | ||
README.md | ||
rust-toolchain.toml | ||
toolkit.nu | ||
typos.toml |
Nushell
A new type of shell.
Table of Contents
- Status
- Learning About Nu
- Installation
- Configuration
- Philosophy
- Goals
- Officially Supported By
- Contributing
- License
Status
This project has reached a minimum-viable-product level of quality. Many people use it as their daily driver, but it may be unstable for some commands. Nu's design is subject to change as it matures.
Learning About Nu
The Nushell book is the primary source of Nushell documentation. You can find a full list of Nu commands in the book, and we have many examples of using Nu in our cookbook.
We're also active on Discord and Twitter; come and chat with us!
Installation
To quickly install Nu:
# Linux and macOS
brew install nushell
# Windows
winget install nushell
To use Nu
in GitHub Action, check setup-nu for more detail.
Detailed installation instructions can be found in the installation chapter of the book. Nu is available via many package managers:
For details about which platforms the Nushell team actively supports, see our platform support policy.
Configuration
The default configurations can be found at sample_config which are the configuration files one gets when they startup Nushell for the first time.
It sets all of the default configuration to run Nushell. From here one can then customize this file for their specific needs.
To see where config.nu is located on your system simply type this command.
$nu.config-path
Please see our book for all of the Nushell documentation.
Philosophy
Nu draws inspiration from projects like PowerShell, functional programming languages, and modern CLI tools. Rather than thinking of files and data as raw streams of text, Nu looks at each input as something with structure. For example, when you list the contents of a directory what you get back is a table of rows, where each row represents an item in that directory. These values can be piped through a series of steps, in a series of commands called a 'pipeline'.
Pipelines
In Unix, it's common to pipe between commands to split up a sophisticated command over multiple steps. Nu takes this a step further and builds heavily on the idea of pipelines. As in the Unix philosophy, Nu allows commands to output to stdout and read from stdin. Additionally, commands can output structured data (you can think of this as a third kind of stream). Commands that work in the pipeline fit into one of three categories:
- Commands that produce a stream (e.g.,
ls
) - Commands that filter a stream (e.g.,
where type == "dir"
) - Commands that consume the output of the pipeline (e.g.,
table
)
Commands are separated by the pipe symbol (|
) to denote a pipeline flowing left to right.
> ls | where type == "dir" | table
╭────┬──────────┬──────┬─────────┬───────────────╮
│ # │ name │ type │ size │ modified │
├────┼──────────┼──────┼─────────┼───────────────┤
│ 0 │ .cargo │ dir │ 0 B │ 9 minutes ago │
│ 1 │ assets │ dir │ 0 B │ 2 weeks ago │
│ 2 │ crates │ dir │ 4.0 KiB │ 2 weeks ago │
│ 3 │ docker │ dir │ 0 B │ 2 weeks ago │
│ 4 │ docs │ dir │ 0 B │ 2 weeks ago │
│ 5 │ images │ dir │ 0 B │ 2 weeks ago │
│ 6 │ pkg_mgrs │ dir │ 0 B │ 2 weeks ago │
│ 7 │ samples │ dir │ 0 B │ 2 weeks ago │
│ 8 │ src │ dir │ 4.0 KiB │ 2 weeks ago │
│ 9 │ target │ dir │ 0 B │ a day ago │
│ 10 │ tests │ dir │ 4.0 KiB │ 2 weeks ago │
│ 11 │ wix │ dir │ 0 B │ 2 weeks ago │
╰────┴──────────┴──────┴─────────┴───────────────╯
Because most of the time you'll want to see the output of a pipeline, table
is assumed.
We could have also written the above:
> ls | where type == "dir"
Being able to use the same commands and compose them differently is an important philosophy in Nu.
For example, we could use the built-in ps
command to get a list of the running processes, using the same where
as above.
> ps | where cpu > 0
╭───┬───────┬───────────┬───────┬───────────┬───────────╮
│ # │ pid │ name │ cpu │ mem │ virtual │
├───┼───────┼───────────┼───────┼───────────┼───────────┤
│ 0 │ 2240 │ Slack.exe │ 16.40 │ 178.3 MiB │ 232.6 MiB │
│ 1 │ 16948 │ Slack.exe │ 16.32 │ 205.0 MiB │ 197.9 MiB │
│ 2 │ 17700 │ nu.exe │ 3.77 │ 26.1 MiB │ 8.8 MiB │
╰───┴───────┴───────────┴───────┴───────────┴───────────╯
Opening files
Nu can load file and URL contents as raw text or structured data (if it recognizes the format). For example, you can load a .toml file as structured data and explore it:
> open Cargo.toml
╭──────────────────┬────────────────────╮
│ bin │ [table 1 row] │
│ dependencies │ {record 25 fields} │
│ dev-dependencies │ {record 8 fields} │
│ features │ {record 10 fields} │
│ package │ {record 13 fields} │
│ patch │ {record 1 field} │
│ profile │ {record 3 fields} │
│ target │ {record 3 fields} │
│ workspace │ {record 1 field} │
╰──────────────────┴────────────────────╯
We can pipe this into a command that gets the contents of one of the columns:
> open Cargo.toml | get package
╭───────────────┬────────────────────────────────────╮
│ authors │ [list 1 item] │
│ default-run │ nu │
│ description │ A new type of shell │
│ documentation │ https://www.nushell.sh/book/ │
│ edition │ 2018 │
│ exclude │ [list 1 item] │
│ homepage │ https://www.nushell.sh │
│ license │ MIT │
│ metadata │ {record 1 field} │
│ name │ nu │
│ repository │ https://github.com/nushell/nushell │
│ rust-version │ 1.60 │
│ version │ 0.72.0 │
╰───────────────┴────────────────────────────────────╯
And if needed we can drill down further:
> open Cargo.toml | get package.version
0.72.0
Plugins
Nu supports plugins that offer additional functionality to the shell and follow the same structured data model that built-in commands use. There are a few examples in the crates/nu_plugins_*
directories.
Plugins are binaries that are available in your path and follow a nu_plugin_*
naming convention.
These binaries interact with nu via a simple JSON-RPC protocol where the command identifies itself and passes along its configuration, making it available for use.
If the plugin is a filter, data streams to it one element at a time, and it can stream data back in return via stdin/stdout.
If the plugin is a sink, it is given the full vector of final data and is given free reign over stdin/stdout to use as it pleases.
The awesome-nu repo lists a variety of nu-plugins while the showcase repo shows off informative blog posts that have been written about Nushell along with videos that highlight technical topics that have been presented.
Goals
Nu adheres closely to a set of goals that make up its design philosophy. As features are added, they are checked against these goals.
-
First and foremost, Nu is cross-platform. Commands and techniques should work across platforms and Nu has first-class support for Windows, macOS, and Linux.
-
Nu ensures compatibility with existing platform-specific executables.
-
Nu's workflow and tools should have the usability expected of modern software in 2022 (and beyond).
-
Nu views data as either structured or unstructured. It is a structured shell like PowerShell.
-
Finally, Nu views data functionally. Rather than using mutation, pipelines act as a means to load, change, and save data without mutable state.
Officially Supported By
Please submit an issue or PR to be added to this list.
Contributing
See Contributing for details. Thanks to all the people who already contributed!
License
The project is made available under the MIT license. See the LICENSE
file for more information.