forked from extern/nushell
5e70d4121a
# Description This PR tries to resolve the overloading issue by going back to our original naming convention for dataframes. So, this PR renames all dataframe commands with a prefix of `dfr`. Some commands like `open-df` were renamed to `dfr open` and things like `into df` were renamed `dfr into-df`. I'm sure we can optimize naming a bit, but it seems to compile now. # User-Facing Changes All dataframe commands are prefixed with dfr. # Tests + Formatting Don't forget to add tests that cover your changes. Make sure you've run and fixed any issues with these commands: - `cargo fmt --all -- --check` to check standard code formatting (`cargo fmt --all` applies these changes) - `cargo clippy --workspace -- -D warnings -D clippy::unwrap_used -A clippy::needless_collect` to check that you're using the standard code style - `cargo test --workspace` to check that all tests pass # After Submitting If your PR had any user-facing changes, update [the documentation](https://github.com/nushell/nushell.github.io) after the PR is merged, if necessary. This will help us keep the docs up to date.
90 lines
2.4 KiB
Rust
90 lines
2.4 KiB
Rust
use nu_protocol::{
|
|
ast::Call,
|
|
engine::{Command, EngineState, Stack},
|
|
Category, Example, IntoPipelineData, PipelineData, ShellError, Signature, Value,
|
|
};
|
|
|
|
use crate::dataframe::values::NuDataFrame;
|
|
|
|
#[derive(Clone)]
|
|
pub struct ListDF;
|
|
|
|
impl Command for ListDF {
|
|
fn name(&self) -> &str {
|
|
"dfr ls"
|
|
}
|
|
|
|
fn usage(&self) -> &str {
|
|
"Lists stored dataframes"
|
|
}
|
|
|
|
fn signature(&self) -> Signature {
|
|
Signature::build(self.name()).category(Category::Custom("dataframe".into()))
|
|
}
|
|
|
|
fn examples(&self) -> Vec<Example> {
|
|
vec![Example {
|
|
description: "Creates a new dataframe and shows it in the dataframe list",
|
|
example: r#"let test = ([[a b];[1 2] [3 4]] | dfr into-df);
|
|
ls"#,
|
|
result: None,
|
|
}]
|
|
}
|
|
|
|
fn run(
|
|
&self,
|
|
engine_state: &EngineState,
|
|
stack: &mut Stack,
|
|
call: &Call,
|
|
_input: PipelineData,
|
|
) -> Result<PipelineData, ShellError> {
|
|
let mut vals: Vec<(String, Value)> = vec![];
|
|
|
|
for overlay_frame in engine_state.active_overlays(&[]) {
|
|
for var in &overlay_frame.vars {
|
|
if let Ok(value) = stack.get_var(*var.1, call.head) {
|
|
let name = String::from_utf8_lossy(var.0).to_string();
|
|
vals.push((name, value));
|
|
}
|
|
}
|
|
}
|
|
|
|
let vals = vals
|
|
.into_iter()
|
|
.filter_map(|(name, value)| {
|
|
NuDataFrame::try_from_value(value).ok().map(|df| (name, df))
|
|
})
|
|
.map(|(name, df)| {
|
|
let name = Value::String {
|
|
val: name,
|
|
span: call.head,
|
|
};
|
|
|
|
let columns = Value::int(df.as_ref().width() as i64, call.head);
|
|
|
|
let rows = Value::int(df.as_ref().height() as i64, call.head);
|
|
|
|
let cols = vec![
|
|
"name".to_string(),
|
|
"columns".to_string(),
|
|
"rows".to_string(),
|
|
];
|
|
let vals = vec![name, columns, rows];
|
|
|
|
Value::Record {
|
|
cols,
|
|
vals,
|
|
span: call.head,
|
|
}
|
|
})
|
|
.collect::<Vec<Value>>();
|
|
|
|
let list = Value::List {
|
|
vals,
|
|
span: call.head,
|
|
};
|
|
|
|
Ok(list.into_pipeline_data())
|
|
}
|
|
}
|