use nu_plugin::{EngineInterface, EvaluatedCall, PluginCommand};
use nu_protocol::{Category, Example, LabeledError, PipelineData, Signature, Span, Type};
use polars::df;
use crate::{
PolarsPlugin,
values::{CustomValueSupport, NuDataFrame, NuExpression},
};
#[derive(Clone)]
pub struct StructJsonEncode;
impl PluginCommand for StructJsonEncode {
type Plugin = PolarsPlugin;
fn name(&self) -> &str {
"polars struct-json-encode"
}
fn description(&self) -> &str {
"Convert this struct to a string column with json values."
}
fn signature(&self) -> Signature {
Signature::build(self.name())
.category(Category::Custom("dataframe".into()))
.input_output_type(Type::custom("expression"), Type::custom("expression"))
}
fn examples(&self) -> Vec<Example<'_>> {
vec![Example {
description: "Encode a struct as JSON",
example: r#"[[id person]; [1 {name: "Bob", age: 36}] [2 {name: "Betty", age: 63}]]
| polars into-df -s {id: i32, person: {name: str, age: u8}}
| polars select id (polars col person | polars struct-json-encode | polars as encoded)
| polars sort-by id
| polars collect"#,
result: Some(
NuDataFrame::from(
df!(
"id" => [1i32, 2],
"encoded" => [
r#"{"name":"Bob","age":36}"#,
r#"{"name":"Betty","age":63}"#,
],
)
.expect("Should be able to create a simple dataframe"),
)
.into_value(Span::test_data()),
),
}]
}
fn run(
&self,
plugin: &Self::Plugin,
engine: &EngineInterface,
call: &EvaluatedCall,
input: PipelineData,
) -> Result<PipelineData, LabeledError> {
NuExpression::try_from_pipeline(plugin, input, call.head)
.map(|expr| expr.into_polars().struct_().json_encode())
.map(NuExpression::from)
.and_then(|expr| expr.to_pipeline_data(plugin, engine, call.head))
.map_err(LabeledError::from)
}
}