nu_plugin_polars 0.112.0

Nushell dataframe plugin commands based on polars.
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108

use nu_plugin::{EngineInterface, EvaluatedCall, PluginCommand};
use nu_protocol::shell_error::generic::GenericError;
use nu_protocol::{
    Category, Example, LabeledError, PipelineData, ShellError, Signature, Span, SyntaxShape, Value,
};

use crate::{
    PolarsPlugin, dataframe::values::utils::convert_columns_string, values::CustomValueSupport,
};

use crate::values::{Column, NuDataFrame, PolarsPluginType};

#[derive(Clone)]
pub struct GetDF;

impl PluginCommand for GetDF {
    type Plugin = PolarsPlugin;

    fn name(&self) -> &str {
        "polars get"
    }

    fn description(&self) -> &str {
        "Creates dataframe with the selected columns."
    }

    fn signature(&self) -> Signature {
        Signature::build(self.name())
            .rest("rest", SyntaxShape::Any, "Column names to sort dataframe.")
            .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: "Returns the selected column",
            example: "[[a b]; [1 2] [3 4]] | polars into-df | polars get a",
            result: Some(
                NuDataFrame::try_from_columns(
                    vec![Column::new(
                        "a".to_string(),
                        vec![Value::test_int(1), Value::test_int(3)],
                    )],
                    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();
        command(plugin, engine, call, input)
            .map_err(LabeledError::from)
            .map(|pd| pd.set_metadata(metadata))
    }
}

fn command(
    plugin: &PolarsPlugin,
    engine: &EngineInterface,
    call: &EvaluatedCall,
    input: PipelineData,
) -> Result<PipelineData, ShellError> {
    let columns: Vec<Value> = call.rest(0)?;
    let (col_string, col_span) = convert_columns_string(columns, call.head)?;

    let df = NuDataFrame::try_from_pipeline_coerce(plugin, input, call.head)?;

    let df = df.as_ref().select(col_string).map_err(|e| {
        ShellError::Generic(GenericError::new(
            "Error selecting columns",
            e.to_string(),
            col_span,
        ))
    })?;
    let df = NuDataFrame::new(false, df);
    df.to_pipeline_data(plugin, engine, call.head)
}

#[cfg(test)]
mod test {
    use crate::test::test_polars_plugin_command;

    use super::*;

    #[test]
    fn test_examples() -> Result<(), ShellError> {
        test_polars_plugin_command(&GetDF)
    }
}