use crate::dataframe::values::NuDataFrame;
use nu_engine::command_prelude::*;
#[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)| {
Value::record(
record! {
"name" => Value::string(name, call.head),
"columns" => Value::int(df.as_ref().width() as i64, call.head),
"rows" => Value::int(df.as_ref().height() as i64, call.head),
},
call.head,
)
})
.collect::<Vec<Value>>();
let list = Value::list(vals, call.head);
Ok(list.into_pipeline_data())
}
}