use crate::{
PolarsPlugin,
values::{CustomValueSupport, PolarsPluginObject, PolarsPluginType, cant_convert_err},
};
use crate::values::{Column, NuDataFrame, NuExpression};
use nu_plugin::{EngineInterface, EvaluatedCall, PluginCommand};
use nu_protocol::{
Category, Example, LabeledError, PipelineData, ShellError, Signature, Span, Value,
shell_error::generic::GenericError,
};
#[derive(Clone)]
pub struct NUnique;
impl PluginCommand for NUnique {
type Plugin = PolarsPlugin;
fn name(&self) -> &str {
"polars n-unique"
}
fn description(&self) -> &str {
"Counts unique values."
}
fn signature(&self) -> Signature {
Signature::build(self.name())
.input_output_types(vec![
(
PolarsPluginType::NuExpression.into(),
PolarsPluginType::NuExpression.into(),
),
(
PolarsPluginType::NuDataFrame.into(),
PolarsPluginType::NuDataFrame.into(),
),
(
PolarsPluginType::NuLazyFrame.into(),
PolarsPluginType::NuLazyFrame.into(),
),
])
.category(Category::Custom("dataframe".into()))
}
fn examples(&self) -> Vec<Example<'_>> {
vec![
Example {
description: "Counts unique values",
example: "[1 1 2 2 3 3 4] | polars into-df | polars n-unique",
result: Some(
NuDataFrame::try_from_columns(
vec![Column::new(
"count_unique".to_string(),
vec![Value::test_int(4)],
)],
None,
Span::test_data(),
)
.expect("simple df for test should not fail")
.into_value(Span::test_data()),
),
},
Example {
description: "Creates a is n-unique expression from a column",
example: "polars col a | polars n-unique",
result: None,
},
]
}
fn run(
&self,
plugin: &Self::Plugin,
engine: &EngineInterface,
call: &EvaluatedCall,
mut input: PipelineData,
) -> Result<PipelineData, LabeledError> {
let metadata = input.take_metadata();
let value = input.into_value(call.head)?;
match PolarsPluginObject::try_from_value(plugin, &value)? {
PolarsPluginObject::NuDataFrame(df) => command(plugin, engine, call, df),
PolarsPluginObject::NuLazyFrame(lazy) => {
command(plugin, engine, call, lazy.collect(call.head)?)
}
PolarsPluginObject::NuExpression(expr) => {
let expr: NuExpression = expr.into_polars().n_unique().into();
expr.to_pipeline_data(plugin, engine, call.head)
}
_ => Err(cant_convert_err(
&value,
&[
PolarsPluginType::NuDataFrame,
PolarsPluginType::NuLazyFrame,
PolarsPluginType::NuExpression,
],
)),
}
.map_err(LabeledError::from)
.map(|pd| pd.set_metadata(metadata))
}
}
fn command(
plugin: &PolarsPlugin,
engine: &EngineInterface,
call: &EvaluatedCall,
df: NuDataFrame,
) -> Result<PipelineData, ShellError> {
let res = df.as_series(call.head)?.n_unique().map_err(|e| {
ShellError::Generic(GenericError::new(
"Error counting unique values",
e.to_string(),
call.head,
))
})?;
let value = Value::int(res as i64, call.head);
let df = NuDataFrame::try_from_columns(
vec![Column::new("count_unique".to_string(), vec![value])],
None,
call.head,
)?;
df.to_pipeline_data(plugin, engine, call.head)
}
#[cfg(test)]
mod test {
use super::*;
use crate::test::test_polars_plugin_command;
#[test]
fn test_examples() -> Result<(), ShellError> {
test_polars_plugin_command(&NUnique)
}
}