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list.rs
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list.rs
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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 {
"ls-df"
}
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]] | into df);
ls-df"#,
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)| match NuDataFrame::try_from_value(value) {
Ok(df) => Some((name, df)),
Err(_) => None,
})
.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())
}
}