mirror of
https://github.com/nushell/nushell.git
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88 lines
2.8 KiB
Rust
88 lines
2.8 KiB
Rust
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use nu_protocol::ast::Call;
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use nu_protocol::{IntoPipelineData, PipelineData, ShellError, Span, Value};
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use std::collections::HashMap;
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pub type MathFunction = fn(values: &[Value], span: &Span) -> Result<Value, ShellError>;
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pub fn run_with_function(
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call: &Call,
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input: PipelineData,
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mf: MathFunction,
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) -> Result<nu_protocol::PipelineData, nu_protocol::ShellError> {
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let name = call.head;
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let res = calculate(input, name, mf);
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match res {
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Ok(v) => Ok(v.into_pipeline_data()),
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Err(e) => Err(e),
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}
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}
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fn helper_for_tables(
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values: PipelineData,
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name: Span,
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mf: MathFunction,
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) -> Result<Value, ShellError> {
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// If we are not dealing with Primitives, then perhaps we are dealing with a table
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// Create a key for each column name
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let mut column_values = HashMap::new();
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for val in values {
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if let Value::Record { cols, vals, .. } = val {
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for (key, value) in cols.iter().zip(vals.iter()) {
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column_values
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.entry(key.clone())
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.and_modify(|v: &mut Vec<Value>| v.push(value.clone()))
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.or_insert_with(|| vec![value.clone()]);
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}
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}
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}
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// The mathematical function operates over the columns of the table
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let mut column_totals = HashMap::new();
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for (col_name, col_vals) in column_values {
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if let Ok(out) = mf(&col_vals, &name) {
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column_totals.insert(col_name, out);
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}
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}
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if column_totals.keys().len() == 0 {
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return Err(ShellError::UnsupportedInput(
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"Unable to give a result with this input".to_string(),
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name,
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));
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}
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let (cols, vals) = column_totals
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.into_iter()
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.fold((vec![], vec![]), |mut acc, (k, v)| {
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acc.0.push(k);
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acc.1.push(v);
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acc
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});
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Ok(Value::Record {
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cols,
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vals,
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span: name,
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})
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}
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pub fn calculate(values: PipelineData, name: Span, mf: MathFunction) -> Result<Value, ShellError> {
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match values {
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PipelineData::Stream(_) => helper_for_tables(values, name, mf),
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PipelineData::Value(Value::List { ref vals, .. }) => match &vals[..] {
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[Value::Record { .. }, _end @ ..] => helper_for_tables(values, name, mf),
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_ => mf(vals, &name),
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},
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PipelineData::Value(Value::Record { vals, cols, span }) => {
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let new_vals: Result<Vec<Value>, ShellError> =
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vals.into_iter().map(|val| mf(&[val], &name)).collect();
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match new_vals {
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Ok(vec) => Ok(Value::Record {
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cols,
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vals: vec,
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span,
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}),
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Err(err) => Err(err),
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}
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}
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PipelineData::Value(val) => mf(&[val], &name),
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}
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}
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