use crate::{
PolarsPlugin,
values::{CustomValueSupport, PolarsPluginType},
};
use super::super::super::values::{Column, NuDataFrame};
use nu_plugin::{EngineInterface, EvaluatedCall, PluginCommand};
use nu_protocol::{
Category, Example, LabeledError, PipelineData, ShellError, Signature, Span, Value,
shell_error::generic::GenericError,
};
use polars::prelude::IntoSeries;
use std::ops::Not;
#[derive(Clone)]
pub struct NotSeries;
impl PluginCommand for NotSeries {
type Plugin = PolarsPlugin;
fn name(&self) -> &str {
"polars not"
}
fn description(&self) -> &str {
"Inverts boolean mask."
}
fn signature(&self) -> Signature {
Signature::build(self.name())
.input_output_types(vec![
(
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: "Inverts boolean mask",
example: "[true false true] | polars into-df | polars not",
result: Some(
NuDataFrame::try_from_columns(
vec![Column::new(
"0".to_string(),
vec![
Value::test_bool(false),
Value::test_bool(true),
Value::test_bool(false),
],
)],
None,
Span::test_data(),
)
.expect("simple df for test should not fail")
.into_value(Span::test_data()),
),
}]
}
fn run(
&self,
plugin: &Self::Plugin,
engine: &EngineInterface,
call: &EvaluatedCall,
mut input: PipelineData,
) -> Result<PipelineData, LabeledError> {
let metadata = input.take_metadata();
let df = NuDataFrame::try_from_pipeline_coerce(plugin, input, call.head)?;
command(plugin, engine, call, df)
.map_err(LabeledError::from)
.map(|pd| pd.set_metadata(metadata))
}
}
fn command(
plugin: &PolarsPlugin,
engine: &EngineInterface,
call: &EvaluatedCall,
df: NuDataFrame,
) -> Result<PipelineData, ShellError> {
let series = df.as_series(call.head)?;
let bool = series.bool().map_err(|e| {
ShellError::Generic(GenericError::new(
"Error inverting mask",
e.to_string(),
call.head,
))
})?;
let res = bool.not();
let df = NuDataFrame::try_from_series_vec(vec![res.into_series()], 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(&NotSeries)
}
}