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All of the dataframe commands ported over with no issues... ### 11 tests are commented out (for now) So 100 of the original 111 tests are passing with only 11 tests being ignored for now.. As per our conversation in the core team meeting on Wednesday I took @jntrnr suggestion and just commented out the tests dealing with [IntoDatetime](https://github.com/nushell/nushell/blob/main/crates/nu-command/src/conversions/into/mod.rs) Later on we can move this functionality out of nu-command if we decide it makes sense... ### The following tests were ignored... ```rust modified: crates/nu-cmd-dataframe/src/dataframe/series/date/get_day.rs modified: crates/nu-cmd-dataframe/src/dataframe/series/date/get_hour.rs modified: crates/nu-cmd-dataframe/src/dataframe/series/date/get_minute.rs modified: crates/nu-cmd-dataframe/src/dataframe/series/date/get_month.rs modified: crates/nu-cmd-dataframe/src/dataframe/series/date/get_nanosecond.rs modified: crates/nu-cmd-dataframe/src/dataframe/series/date/get_ordinal.rs modified: crates/nu-cmd-dataframe/src/dataframe/series/date/get_second.rs modified: crates/nu-cmd-dataframe/src/dataframe/series/date/get_week.rs modified: crates/nu-cmd-dataframe/src/dataframe/series/date/get_weekday.rs modified: crates/nu-cmd-dataframe/src/dataframe/series/date/get_year.rs modified: crates/nu-cmd-dataframe/src/dataframe/series/string/strftime.rs ```
96 lines
2.7 KiB
Rust
96 lines
2.7 KiB
Rust
use super::super::values::NuLazyFrame;
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use crate::dataframe::values::{Column, NuDataFrame};
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use nu_engine::CallExt;
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use nu_protocol::{
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ast::Call,
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engine::{Command, EngineState, Stack},
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Category, Example, PipelineData, ShellError, Signature, Span, SyntaxShape, Type, Value,
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};
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#[derive(Clone)]
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pub struct LazyFetch;
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impl Command for LazyFetch {
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fn name(&self) -> &str {
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"dfr fetch"
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}
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fn usage(&self) -> &str {
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"collects the lazyframe to the selected rows."
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}
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fn signature(&self) -> Signature {
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Signature::build(self.name())
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.required(
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"rows",
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SyntaxShape::Int,
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"number of rows to be fetched from lazyframe",
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)
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.input_type(Type::Custom("dataframe".into()))
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.output_type(Type::Custom("dataframe".into()))
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.category(Category::Custom("lazyframe".into()))
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}
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fn examples(&self) -> Vec<Example> {
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vec![Example {
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description: "Fetch a rows from the dataframe",
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example: "[[a b]; [6 2] [4 2] [2 2]] | dfr into-df | dfr fetch 2",
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result: Some(
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NuDataFrame::try_from_columns(vec![
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Column::new(
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"a".to_string(),
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vec![Value::test_int(6), Value::test_int(4)],
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),
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Column::new(
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"b".to_string(),
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vec![Value::test_int(2), Value::test_int(2)],
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),
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])
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.expect("simple df for test should not fail")
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.into_value(Span::test_data()),
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),
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}]
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}
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fn run(
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&self,
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engine_state: &EngineState,
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stack: &mut Stack,
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call: &Call,
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input: PipelineData,
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) -> Result<PipelineData, ShellError> {
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let rows: i64 = call.req(engine_state, stack, 0)?;
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let lazy = NuLazyFrame::try_from_pipeline(input, call.head)?;
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let eager: NuDataFrame = lazy
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.into_polars()
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.fetch(rows as usize)
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.map_err(|e| {
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ShellError::GenericError(
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"Error fetching rows".into(),
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e.to_string(),
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Some(call.head),
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None,
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Vec::new(),
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)
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})?
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.into();
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Ok(PipelineData::Value(
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NuDataFrame::into_value(eager, call.head),
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None,
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))
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}
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}
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#[cfg(test)]
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mod test {
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use super::super::super::test_dataframe::test_dataframe;
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use super::*;
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#[test]
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fn test_examples() {
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test_dataframe(vec![Box::new(LazyFetch {})])
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}
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}
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