mirror of
https://github.com/nushell/nushell.git
synced 2024-11-07 09:04:18 +01:00
Jack Wright
GitHub
parent
96493b26d9
commit
a6b1d1f6d9
157
Cargo.lock
generated
157
Cargo.lock
generated
@ -478,17 +478,6 @@ version = "0.1.3"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "ada7f35ca622a86a4d6c27be2633fc6c243ecc834859628fcce0681d8e76e1c8"
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[[package]]
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[[package]]
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@ -497,17 +486,7 @@ checksum = "19483b140a7ac7174d34b5a581b406c64f84da5409d3e09cf4fff604f9270e67"
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[[package]]
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[[package]]
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@ -871,7 +850,7 @@ checksum = "b34115915337defe99b2aff5c2ce6771e5fbc4079f4b506301f5cf394c8452f7"
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@ -1295,6 +1274,9 @@ name = "either"
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[[package]]
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@ -1794,6 +1776,7 @@ dependencies = [
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[[package]]
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@ -2935,7 +2918,7 @@ dependencies = [
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@ -3222,7 +3205,7 @@ dependencies = [
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@ -3243,7 +3226,7 @@ dependencies = [
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@ -3404,7 +3387,7 @@ dependencies = [
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@ -4014,9 +3997,9 @@ dependencies = [
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[[package]]
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@ -4034,9 +4017,9 @@ dependencies = [
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[[package]]
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@ -4082,9 +4065,9 @@ dependencies = [
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[[package]]
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@ -4098,9 +4081,9 @@ dependencies = [
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[[package]]
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version = "0.40.0"
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@ -4132,9 +4115,9 @@ dependencies = [
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[[package]]
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@ -4144,10 +4127,30 @@ dependencies = [
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[[package]]
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[[package]]
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@ -4186,9 +4189,9 @@ dependencies = [
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[[package]]
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@ -4207,9 +4210,9 @@ dependencies = [
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[[package]]
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name = "polars-lazy"
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version = "0.40.0"
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@ -4217,6 +4220,7 @@ dependencies = [
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"polars-expr",
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@ -4231,13 +4235,13 @@ dependencies = [
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[[package]]
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name = "polars-ops"
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@ -4267,14 +4271,14 @@ dependencies = [
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@ -4293,9 +4297,9 @@ dependencies = [
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[[package]]
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@ -4305,6 +4309,7 @@ dependencies = [
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@ -4318,13 +4323,14 @@ dependencies = [
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[[package]]
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@ -4341,15 +4347,15 @@ dependencies = [
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@ -4359,11 +4365,12 @@ dependencies = [
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@ -4377,11 +4384,12 @@ dependencies = [
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@ -4398,9 +4406,9 @@ dependencies = [
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@ -4834,7 +4842,7 @@ dependencies = [
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@ -5562,9 +5570,9 @@ dependencies = [
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[[package]]
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@ -5678,20 +5686,7 @@ version = "0.26.2"
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|
||||
"strum_macros",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
@ -29,12 +29,12 @@ indexmap = { version = "2.2" }
|
||||
mimalloc = { version = "0.1.42" }
|
||||
num = {version = "0.4"}
|
||||
serde = { version = "1.0", features = ["derive"] }
|
||||
sqlparser = { version = "0.45"}
|
||||
polars-io = { version = "0.39", features = ["avro"]}
|
||||
polars-arrow = { version = "0.39"}
|
||||
polars-ops = { version = "0.39"}
|
||||
polars-plan = { version = "0.39", features = ["regex"]}
|
||||
polars-utils = { version = "0.39"}
|
||||
sqlparser = { version = "0.47"}
|
||||
polars-io = { version = "0.40", features = ["avro"]}
|
||||
polars-arrow = { version = "0.40"}
|
||||
polars-ops = { version = "0.40"}
|
||||
polars-plan = { version = "0.40", features = ["regex"]}
|
||||
polars-utils = { version = "0.40"}
|
||||
typetag = "0.2"
|
||||
uuid = { version = "1.7", features = ["v4", "serde"] }
|
||||
|
||||
@ -70,7 +70,7 @@ features = [
|
||||
"to_dummies",
|
||||
]
|
||||
optional = false
|
||||
version = "0.39"
|
||||
version = "0.40"
|
||||
|
||||
[dev-dependencies]
|
||||
nu-cmd-lang = { path = "../nu-cmd-lang", version = "0.94.3" }
|
||||
|
||||
@ -16,14 +16,17 @@ use std::{
|
||||
fs::File,
|
||||
io::BufReader,
|
||||
path::{Path, PathBuf},
|
||||
sync::Arc,
|
||||
};
|
||||
|
||||
use polars::prelude::{
|
||||
CsvEncoding, CsvReader, IpcReader, JsonFormat, JsonReader, LazyCsvReader, LazyFileListReader,
|
||||
LazyFrame, ParquetReader, ScanArgsIpc, ScanArgsParquet, SerReader,
|
||||
CsvEncoding, IpcReader, JsonFormat, JsonReader, LazyCsvReader, LazyFileListReader, LazyFrame,
|
||||
ParquetReader, ScanArgsIpc, ScanArgsParquet, SerReader,
|
||||
};
|
||||
|
||||
use polars_io::{avro::AvroReader, prelude::ParallelStrategy, HiveOptions};
|
||||
use polars_io::{
|
||||
avro::AvroReader, csv::read::CsvReadOptions, prelude::ParallelStrategy, HiveOptions,
|
||||
};
|
||||
|
||||
#[derive(Clone)]
|
||||
pub struct OpenDataFrame;
|
||||
@ -175,6 +178,7 @@ fn from_parquet(
|
||||
cloud_options: None,
|
||||
use_statistics: false,
|
||||
hive_options: HiveOptions::default(),
|
||||
glob: true,
|
||||
};
|
||||
|
||||
let df: NuLazyFrame = LazyFrame::scan_parquet(file, args)
|
||||
@ -445,7 +449,7 @@ fn from_csv(
|
||||
}
|
||||
};
|
||||
|
||||
let csv_reader = csv_reader.has_header(!no_header);
|
||||
let csv_reader = csv_reader.with_has_header(!no_header);
|
||||
|
||||
let csv_reader = match maybe_schema {
|
||||
Some(schema) => csv_reader.with_schema(Some(schema.into())),
|
||||
@ -475,7 +479,23 @@ fn from_csv(
|
||||
|
||||
df.cache_and_to_value(plugin, engine, call.head)
|
||||
} else {
|
||||
let csv_reader = CsvReader::from_path(file_path)
|
||||
let df = CsvReadOptions::default()
|
||||
.with_has_header(!no_header)
|
||||
.with_infer_schema_length(infer_schema)
|
||||
.with_skip_rows(skip_rows.unwrap_or_default())
|
||||
.with_schema(maybe_schema.map(|s| s.into()))
|
||||
.with_columns(columns.map(Arc::new))
|
||||
.map_parse_options(|options| {
|
||||
options
|
||||
.with_separator(
|
||||
delimiter
|
||||
.as_ref()
|
||||
.and_then(|d| d.item.chars().next().map(|c| c as u8))
|
||||
.unwrap_or(b','),
|
||||
)
|
||||
.with_encoding(CsvEncoding::LossyUtf8)
|
||||
})
|
||||
.try_into_reader_with_file_path(Some(file_path.to_path_buf()))
|
||||
.map_err(|e| ShellError::GenericError {
|
||||
error: "Error creating CSV reader".into(),
|
||||
msg: e.to_string(),
|
||||
@ -483,52 +503,6 @@ fn from_csv(
|
||||
help: None,
|
||||
inner: vec![],
|
||||
})?
|
||||
.with_encoding(CsvEncoding::LossyUtf8);
|
||||
|
||||
let csv_reader = match delimiter {
|
||||
None => csv_reader,
|
||||
Some(d) => {
|
||||
if d.item.len() != 1 {
|
||||
return Err(ShellError::GenericError {
|
||||
error: "Incorrect delimiter".into(),
|
||||
msg: "Delimiter has to be one character".into(),
|
||||
span: Some(d.span),
|
||||
help: None,
|
||||
inner: vec![],
|
||||
});
|
||||
} else {
|
||||
let delimiter = match d.item.chars().next() {
|
||||
Some(d) => d as u8,
|
||||
None => unreachable!(),
|
||||
};
|
||||
csv_reader.with_separator(delimiter)
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
let csv_reader = csv_reader.has_header(!no_header);
|
||||
|
||||
let csv_reader = match maybe_schema {
|
||||
Some(schema) => csv_reader.with_schema(Some(schema.into())),
|
||||
None => csv_reader,
|
||||
};
|
||||
|
||||
let csv_reader = match infer_schema {
|
||||
None => csv_reader,
|
||||
Some(r) => csv_reader.infer_schema(Some(r)),
|
||||
};
|
||||
|
||||
let csv_reader = match skip_rows {
|
||||
None => csv_reader,
|
||||
Some(r) => csv_reader.with_skip_rows(r),
|
||||
};
|
||||
|
||||
let csv_reader = match columns {
|
||||
None => csv_reader,
|
||||
Some(columns) => csv_reader.with_columns(Some(columns)),
|
||||
};
|
||||
|
||||
let df: NuDataFrame = csv_reader
|
||||
.finish()
|
||||
.map_err(|e| ShellError::GenericError {
|
||||
error: "CSV reader error".into(),
|
||||
@ -536,9 +510,8 @@ fn from_csv(
|
||||
span: Some(call.head),
|
||||
help: None,
|
||||
inner: vec![],
|
||||
})?
|
||||
.into();
|
||||
|
||||
})?;
|
||||
let df = NuDataFrame::new(false, df);
|
||||
df.cache_and_to_value(plugin, engine, call.head)
|
||||
}
|
||||
}
|
||||
|
||||
@ -3,7 +3,8 @@ use polars::prelude::{col, lit, DataType, Expr, LiteralValue, PolarsResult as Re
|
||||
|
||||
use sqlparser::ast::{
|
||||
ArrayElemTypeDef, BinaryOperator as SQLBinaryOperator, DataType as SQLDataType,
|
||||
Expr as SqlExpr, Function as SQLFunction, Value as SqlValue, WindowType,
|
||||
DuplicateTreatment, Expr as SqlExpr, Function as SQLFunction, FunctionArguments,
|
||||
Value as SqlValue, WindowType,
|
||||
};
|
||||
|
||||
fn map_sql_polars_datatype(data_type: &SQLDataType) -> Result<DataType> {
|
||||
@ -33,7 +34,7 @@ fn map_sql_polars_datatype(data_type: &SQLDataType) -> Result<DataType> {
|
||||
SQLDataType::Interval => DataType::Duration(TimeUnit::Microseconds),
|
||||
SQLDataType::Array(array_type_def) => match array_type_def {
|
||||
ArrayElemTypeDef::AngleBracket(inner_type)
|
||||
| ArrayElemTypeDef::SquareBracket(inner_type) => {
|
||||
| ArrayElemTypeDef::SquareBracket(inner_type, _) => {
|
||||
DataType::List(Box::new(map_sql_polars_datatype(inner_type)?))
|
||||
}
|
||||
_ => {
|
||||
@ -120,9 +121,7 @@ pub fn parse_sql_expr(expr: &SqlExpr) -> Result<Expr> {
|
||||
}
|
||||
SqlExpr::Function(sql_function) => parse_sql_function(sql_function)?,
|
||||
SqlExpr::Cast {
|
||||
expr,
|
||||
data_type,
|
||||
format: _,
|
||||
expr, data_type, ..
|
||||
} => cast_(parse_sql_expr(expr)?, data_type)?,
|
||||
SqlExpr::Nested(expr) => parse_sql_expr(expr)?,
|
||||
SqlExpr::Value(value) => literal_expr(value)?,
|
||||
@ -162,8 +161,17 @@ fn parse_sql_function(sql_function: &SQLFunction) -> Result<Expr> {
|
||||
use sqlparser::ast::{FunctionArg, FunctionArgExpr};
|
||||
// Function name mostly do not have name space, so it mostly take the first args
|
||||
let function_name = sql_function.name.0[0].value.to_ascii_lowercase();
|
||||
let args = sql_function
|
||||
.args
|
||||
|
||||
// One day this should support the additional argument types supported with 0.40
|
||||
let (args, distinct) = match &sql_function.args {
|
||||
FunctionArguments::List(list) => (
|
||||
list.args.clone(),
|
||||
list.duplicate_treatment == Some(DuplicateTreatment::Distinct),
|
||||
),
|
||||
_ => (vec![], false),
|
||||
};
|
||||
|
||||
let args = args
|
||||
.iter()
|
||||
.map(|arg| match arg {
|
||||
FunctionArg::Named { arg, .. } => arg,
|
||||
@ -174,15 +182,15 @@ fn parse_sql_function(sql_function: &SQLFunction) -> Result<Expr> {
|
||||
match (
|
||||
function_name.as_str(),
|
||||
args.as_slice(),
|
||||
sql_function.distinct,
|
||||
distinct,
|
||||
) {
|
||||
("sum", [FunctionArgExpr::Expr(expr)], false) => {
|
||||
("sum", [FunctionArgExpr::Expr(ref expr)], false) => {
|
||||
apply_window_spec(parse_sql_expr(expr)?, sql_function.over.as_ref())?.sum()
|
||||
}
|
||||
("count", [FunctionArgExpr::Expr(expr)], false) => {
|
||||
("count", [FunctionArgExpr::Expr(ref expr)], false) => {
|
||||
apply_window_spec(parse_sql_expr(expr)?, sql_function.over.as_ref())?.count()
|
||||
}
|
||||
("count", [FunctionArgExpr::Expr(expr)], true) => {
|
||||
("count", [FunctionArgExpr::Expr(ref expr)], true) => {
|
||||
apply_window_spec(parse_sql_expr(expr)?, sql_function.over.as_ref())?.n_unique()
|
||||
}
|
||||
// Special case for wildcard args to count function.
|
||||
|
||||
@ -189,53 +189,19 @@ fn command(
|
||||
.map(|col| {
|
||||
let count = col.len() as f64;
|
||||
|
||||
let sum = col.sum_as_series().ok().and_then(|series| {
|
||||
series
|
||||
.cast(&DataType::Float64)
|
||||
.ok()
|
||||
.and_then(|ca| match ca.get(0) {
|
||||
Ok(AnyValue::Float64(v)) => Some(v),
|
||||
_ => None,
|
||||
})
|
||||
});
|
||||
|
||||
let mean = match col.mean_as_series().get(0) {
|
||||
Ok(AnyValue::Float64(v)) => Some(v),
|
||||
_ => None,
|
||||
};
|
||||
|
||||
let median = match col.median_as_series() {
|
||||
Ok(v) => match v.get(0) {
|
||||
Ok(AnyValue::Float64(v)) => Some(v),
|
||||
_ => None,
|
||||
},
|
||||
_ => None,
|
||||
};
|
||||
|
||||
let std = match col.std_as_series(0) {
|
||||
Ok(v) => match v.get(0) {
|
||||
Ok(AnyValue::Float64(v)) => Some(v),
|
||||
_ => None,
|
||||
},
|
||||
_ => None,
|
||||
};
|
||||
|
||||
let min = col.min_as_series().ok().and_then(|series| {
|
||||
series
|
||||
.cast(&DataType::Float64)
|
||||
.ok()
|
||||
.and_then(|ca| match ca.get(0) {
|
||||
Ok(AnyValue::Float64(v)) => Some(v),
|
||||
_ => None,
|
||||
})
|
||||
});
|
||||
let sum = col.sum::<f64>().ok();
|
||||
let mean = col.mean();
|
||||
let median = col.median();
|
||||
let std = col.std(0);
|
||||
let min = col.min::<f64>().ok().flatten();
|
||||
|
||||
let mut quantiles = quantiles
|
||||
.clone()
|
||||
.into_iter()
|
||||
.map(|q| {
|
||||
col.quantile_as_series(q, QuantileInterpolOptions::default())
|
||||
col.quantile_reduce(q, QuantileInterpolOptions::default())
|
||||
.ok()
|
||||
.map(|s| s.into_series("quantile"))
|
||||
.and_then(|ca| ca.cast(&DataType::Float64).ok())
|
||||
.and_then(|ca| match ca.get(0) {
|
||||
Ok(AnyValue::Float64(v)) => Some(v),
|
||||
@ -244,15 +210,7 @@ fn command(
|
||||
})
|
||||
.collect::<Vec<Option<f64>>>();
|
||||
|
||||
let max = col.max_as_series().ok().and_then(|series| {
|
||||
series
|
||||
.cast(&DataType::Float64)
|
||||
.ok()
|
||||
.and_then(|ca| match ca.get(0) {
|
||||
Ok(AnyValue::Float64(v)) => Some(v),
|
||||
_ => None,
|
||||
})
|
||||
});
|
||||
let max = col.max::<f64>().ok().flatten();
|
||||
|
||||
let mut descriptors = vec![Some(count), sum, mean, median, std, min];
|
||||
descriptors.append(&mut quantiles);
|
||||
|
||||
@ -5,9 +5,7 @@ use crate::dataframe::values::{Column, NuDataFrame, NuExpression, NuLazyFrame};
|
||||
use crate::values::CustomValueSupport;
|
||||
use crate::PolarsPlugin;
|
||||
use nu_plugin::{EngineInterface, EvaluatedCall, PluginCommand};
|
||||
use nu_protocol::{
|
||||
Category, Example, LabeledError, PipelineData, ShellError, Signature, Span, Type, Value,
|
||||
};
|
||||
use nu_protocol::{Category, Example, LabeledError, PipelineData, Signature, Span, Type, Value};
|
||||
|
||||
// The structs defined in this file are structs that form part of other commands
|
||||
// since they share a similar name
|
||||
@ -60,6 +58,7 @@ macro_rules! expr_command {
|
||||
mod $test {
|
||||
use super::*;
|
||||
use crate::test::test_polars_plugin_command;
|
||||
use nu_protocol::ShellError;
|
||||
|
||||
#[test]
|
||||
fn test_examples() -> Result<(), ShellError> {
|
||||
@ -163,19 +162,7 @@ macro_rules! lazy_expr_command {
|
||||
if NuDataFrame::can_downcast(&value) || NuLazyFrame::can_downcast(&value) {
|
||||
let lazy = NuLazyFrame::try_from_value_coerce(plugin, &value)
|
||||
.map_err(LabeledError::from)?;
|
||||
let lazy = NuLazyFrame::new(
|
||||
lazy.from_eager,
|
||||
lazy.to_polars()
|
||||
.$func()
|
||||
.map_err(|e| ShellError::GenericError {
|
||||
error: "Dataframe Error".into(),
|
||||
msg: e.to_string(),
|
||||
help: None,
|
||||
span: None,
|
||||
inner: vec![],
|
||||
})
|
||||
.map_err(LabeledError::from)?,
|
||||
);
|
||||
let lazy = NuLazyFrame::new(lazy.from_eager, lazy.to_polars().$func());
|
||||
lazy.to_pipeline_data(plugin, engine, call.head)
|
||||
.map_err(LabeledError::from)
|
||||
} else {
|
||||
@ -192,6 +179,7 @@ macro_rules! lazy_expr_command {
|
||||
mod $test {
|
||||
use super::*;
|
||||
use crate::test::test_polars_plugin_command;
|
||||
use nu_protocol::ShellError;
|
||||
|
||||
#[test]
|
||||
fn test_examples() -> Result<(), ShellError> {
|
||||
@ -244,19 +232,7 @@ macro_rules! lazy_expr_command {
|
||||
if NuDataFrame::can_downcast(&value) || NuLazyFrame::can_downcast(&value) {
|
||||
let lazy = NuLazyFrame::try_from_value_coerce(plugin, &value)
|
||||
.map_err(LabeledError::from)?;
|
||||
let lazy = NuLazyFrame::new(
|
||||
lazy.from_eager,
|
||||
lazy.to_polars()
|
||||
.$func($ddof)
|
||||
.map_err(|e| ShellError::GenericError {
|
||||
error: "Dataframe Error".into(),
|
||||
msg: e.to_string(),
|
||||
help: None,
|
||||
span: None,
|
||||
inner: vec![],
|
||||
})
|
||||
.map_err(LabeledError::from)?,
|
||||
);
|
||||
let lazy = NuLazyFrame::new(lazy.from_eager, lazy.to_polars().$func($ddof));
|
||||
lazy.to_pipeline_data(plugin, engine, call.head)
|
||||
.map_err(LabeledError::from)
|
||||
} else {
|
||||
@ -272,6 +248,7 @@ macro_rules! lazy_expr_command {
|
||||
mod $test {
|
||||
use super::*;
|
||||
use crate::test::test_polars_plugin_command;
|
||||
use nu_protocol::ShellError;
|
||||
|
||||
#[test]
|
||||
fn test_examples() -> Result<(), ShellError> {
|
||||
|
||||
@ -35,7 +35,7 @@ impl PluginCommand for ExprLit {
|
||||
example: "polars lit 2 | polars into-nu",
|
||||
result: Some(Value::test_record(record! {
|
||||
"expr" => Value::test_string("literal"),
|
||||
"value" => Value::test_string("2"),
|
||||
"value" => Value::test_string("dyn int: 2"),
|
||||
})),
|
||||
}]
|
||||
}
|
||||
|
||||
@ -195,6 +195,7 @@ fn get_col_name(expr: &Expr) -> Option<String> {
|
||||
| Expr::Len
|
||||
| Expr::Nth(_)
|
||||
| Expr::SubPlan(_, _)
|
||||
| Expr::IndexColumn(_)
|
||||
| Expr::Selector(_) => None,
|
||||
}
|
||||
}
|
||||
|
||||
@ -189,7 +189,7 @@ impl PluginCommand for LazyJoin {
|
||||
let how = if left {
|
||||
JoinType::Left
|
||||
} else if outer {
|
||||
JoinType::Outer { coalesce: true }
|
||||
JoinType::Outer
|
||||
} else if cross {
|
||||
JoinType::Cross
|
||||
} else {
|
||||
|
||||
@ -116,16 +116,7 @@ fn command(
|
||||
call: &EvaluatedCall,
|
||||
lazy: NuLazyFrame,
|
||||
) -> Result<PipelineData, ShellError> {
|
||||
let polars_lazy = lazy
|
||||
.to_polars()
|
||||
.median()
|
||||
.map_err(|e| ShellError::GenericError {
|
||||
error: format!("Error in median operation: {e}"),
|
||||
msg: "".into(),
|
||||
help: None,
|
||||
span: None,
|
||||
inner: vec![],
|
||||
})?;
|
||||
let polars_lazy = lazy.to_polars().median();
|
||||
let lazy = NuLazyFrame::new(lazy.from_eager, polars_lazy);
|
||||
lazy.to_pipeline_data(plugin, engine, call.head)
|
||||
}
|
||||
|
||||
@ -134,14 +134,7 @@ fn command(
|
||||
let lazy = NuLazyFrame::new(
|
||||
lazy.from_eager,
|
||||
lazy.to_polars()
|
||||
.quantile(lit(quantile), QuantileInterpolOptions::default())
|
||||
.map_err(|e| ShellError::GenericError {
|
||||
error: "Dataframe Error".into(),
|
||||
msg: e.to_string(),
|
||||
help: None,
|
||||
span: None,
|
||||
inner: vec![],
|
||||
})?,
|
||||
.quantile(lit(quantile), QuantileInterpolOptions::default()),
|
||||
);
|
||||
|
||||
lazy.to_pipeline_data(plugin, engine, call.head)
|
||||
|
||||
@ -7,7 +7,7 @@ use nu_protocol::{
|
||||
Category, Example, LabeledError, PipelineData, ShellError, Signature, Span, Spanned,
|
||||
SyntaxShape, Type, Value,
|
||||
};
|
||||
use polars::prelude::{DataType, Duration, IntoSeries, RollingOptionsImpl, SeriesOpsTime};
|
||||
use polars::prelude::{DataType, IntoSeries, RollingOptionsFixedWindow, SeriesOpsTime};
|
||||
|
||||
enum RollType {
|
||||
Min,
|
||||
@ -131,7 +131,7 @@ fn command(
|
||||
input: PipelineData,
|
||||
) -> Result<PipelineData, ShellError> {
|
||||
let roll_type: Spanned<String> = call.req(0)?;
|
||||
let window_size: i64 = call.req(1)?;
|
||||
let window_size: usize = call.req(1)?;
|
||||
|
||||
let df = NuDataFrame::try_from_pipeline_coerce(plugin, input, call.head)?;
|
||||
let series = df.as_series(call.head)?;
|
||||
@ -148,17 +148,12 @@ fn command(
|
||||
|
||||
let roll_type = RollType::from_str(&roll_type.item, roll_type.span)?;
|
||||
|
||||
let rolling_opts = RollingOptionsImpl {
|
||||
window_size: Duration::new(window_size),
|
||||
min_periods: window_size as usize,
|
||||
weights: None,
|
||||
center: false,
|
||||
by: None,
|
||||
closed_window: None,
|
||||
tu: None,
|
||||
tz: None,
|
||||
fn_params: None,
|
||||
let rolling_opts = RollingOptionsFixedWindow {
|
||||
window_size,
|
||||
min_periods: window_size,
|
||||
..RollingOptionsFixedWindow::default()
|
||||
};
|
||||
|
||||
let res = match roll_type {
|
||||
RollType::Max => series.rolling_max(rolling_opts),
|
||||
RollType::Min => series.rolling_min(rolling_opts),
|
||||
|
||||
@ -155,7 +155,10 @@ pub fn expr_to_value(expr: &Expr, span: Span) -> Result<Value, ShellError> {
|
||||
span,
|
||||
)),
|
||||
Expr::Columns(columns) => {
|
||||
let value = columns.iter().map(|col| Value::string(col, span)).collect();
|
||||
let value = columns
|
||||
.iter()
|
||||
.map(|col| Value::string(col.to_string(), span))
|
||||
.collect();
|
||||
Ok(Value::record(
|
||||
record! {
|
||||
"expr" => Value::string("columns", span),
|
||||
@ -415,6 +418,12 @@ pub fn expr_to_value(expr: &Expr, span: Span) -> Result<Value, ShellError> {
|
||||
msg_span: span,
|
||||
input_span: Span::unknown(),
|
||||
}),
|
||||
Expr::IndexColumn(_) => Err(ShellError::UnsupportedInput {
|
||||
msg: "Expressions of type IndexColumn to Nu Values is not yet supported".to_string(),
|
||||
input: format!("Expression is {expr:?}"),
|
||||
msg_span: span,
|
||||
input_span: Span::unknown(),
|
||||
}),
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@ -160,7 +160,15 @@ impl CustomValueSupport for NuLazyFrame {
|
||||
.unwrap_or_else(|_| "<NOT AVAILABLE>".to_string());
|
||||
Ok(Value::record(
|
||||
record! {
|
||||
"plan" => Value::string(self.lazy.describe_plan(), span),
|
||||
"plan" => Value::string(
|
||||
self.lazy.describe_plan().map_err(|e| ShellError::GenericError {
|
||||
error: "Error getting plan".into(),
|
||||
msg: e.to_string(),
|
||||
span: Some(span),
|
||||
help: None,
|
||||
inner: vec![],
|
||||
})?,
|
||||
span),
|
||||
"optimized_plan" => Value::string(optimized_plan, span),
|
||||
},
|
||||
span,
|
||||
|
||||
@ -1,7 +1,10 @@
|
||||
use std::sync::Arc;
|
||||
|
||||
use nu_protocol::{ShellError, Span, Value};
|
||||
use polars::prelude::{DataType, Field, Schema, SchemaRef, TimeUnit};
|
||||
use polars::{
|
||||
datatypes::UnknownKind,
|
||||
prelude::{DataType, Field, Schema, SchemaRef, TimeUnit},
|
||||
};
|
||||
|
||||
#[derive(Debug, Clone)]
|
||||
pub struct NuSchema {
|
||||
@ -104,7 +107,7 @@ pub fn str_to_dtype(dtype: &str, span: Span) -> Result<DataType, ShellError> {
|
||||
"date" => Ok(DataType::Date),
|
||||
"time" => Ok(DataType::Time),
|
||||
"null" => Ok(DataType::Null),
|
||||
"unknown" => Ok(DataType::Unknown),
|
||||
"unknown" => Ok(DataType::Unknown(UnknownKind::Any)),
|
||||
"object" => Ok(DataType::Object("unknown", None)),
|
||||
_ if dtype.starts_with("list") => {
|
||||
let dtype = dtype
|
||||
@ -299,7 +302,7 @@ mod test {
|
||||
|
||||
let dtype = "unknown";
|
||||
let schema = str_to_dtype(dtype, Span::unknown()).unwrap();
|
||||
let expected = DataType::Unknown;
|
||||
let expected = DataType::Unknown(UnknownKind::Any);
|
||||
assert_eq!(schema, expected);
|
||||
|
||||
let dtype = "object";
|
||||
|
||||
Loading…
Reference in New Issue
Block a user