Merge pull request #888 from andrasio/data-primitives

WIP [data processing]
This commit is contained in:
Andrés N. Robalino 2019-11-03 16:52:21 -05:00 committed by GitHub
commit f966394b63
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6 changed files with 477 additions and 54 deletions

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@ -11,3 +11,11 @@ This is laying the groundwork for merging coloring and parsing. It also makes to
work with coloring, which is pretty useful on its own.
"""
enabled = false
[data_processing_primitives]
description = "Groundwork so tables can be data processed"
reason = """
These will allow take tables and be able to transform, process, and explore.
"""
enabled = false

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@ -322,6 +322,8 @@ pub async fn cli() -> Result<(), Box<dyn Error>> {
whole_stream_command(Table),
whole_stream_command(Version),
whole_stream_command(Which),
#[cfg(data_processing_primitives)]
whole_stream_command(SplitBy),
]);
#[cfg(feature = "clipboard")]

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@ -57,6 +57,10 @@ pub(crate) mod shells;
pub(crate) mod size;
pub(crate) mod skip_while;
pub(crate) mod sort_by;
#[cfg(data_processing_primitives)]
pub(crate) mod split_by;
pub(crate) mod split_column;
pub(crate) mod split_row;
pub(crate) mod table;
@ -133,6 +137,10 @@ pub(crate) use shells::Shells;
pub(crate) use size::Size;
pub(crate) use skip_while::SkipWhile;
pub(crate) use sort_by::SortBy;
#[cfg(data_processing_primitives)]
pub(crate) use split_by::SplitBy;
pub(crate) use split_column::SplitColumn;
pub(crate) use split_row::SplitRow;
pub(crate) use table::Table;

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@ -36,59 +36,154 @@ impl WholeStreamCommand for GroupBy {
}
}
fn group_by(
pub fn group_by(
GroupByArgs { column_name }: GroupByArgs,
RunnableContext { input, name, .. }: RunnableContext,
) -> Result<OutputStream, ShellError> {
let stream = async_stream! {
let values: Vec<Tagged<Value>> = input.values.collect().await;
if values.is_empty() {
yield Err(ShellError::labeled_error(
"Expected table from pipeline",
"requires a table input",
column_name.span()
))
} else {
match group(&column_name, values, name) {
Ok(grouped) => yield ReturnSuccess::value(grouped),
Err(err) => yield Err(err)
}
}
};
Ok(stream.to_output_stream())
}
pub fn group(
column_name: &Tagged<String>,
values: Vec<Tagged<Value>>,
tag: impl Into<Tag>,
) -> Result<Tagged<Value>, ShellError> {
let tag = tag.into();
let mut groups = indexmap::IndexMap::new();
for value in values {
let group_key = value.get_data_by_key(&column_name.item);
let group_key = value.get_data_by_key(column_name);
if group_key.is_none() {
let possibilities = value.data_descriptors();
let mut possible_matches: Vec<_> = possibilities
.iter()
.map(|x| (natural::distance::levenshtein_distance(x, &column_name.item), x))
.map(|x| (natural::distance::levenshtein_distance(x, column_name), x))
.collect();
possible_matches.sort();
let err = {
if possible_matches.len() > 0 {
ShellError::labeled_error(
return Err(ShellError::labeled_error(
"Unknown column",
format!("did you mean '{}'?", possible_matches[0].1),
&column_name.tag,)
column_name.tag(),
));
} else {
ShellError::labeled_error(
return Err(ShellError::labeled_error(
"Unknown column",
"row does not contain this column",
&column_name.tag,
)
column_name.tag(),
));
}
}
};
yield Err(err)
} else {
let group_key = group_key.unwrap().as_string()?;
let mut group = groups.entry(group_key).or_insert(vec![]);
let group = groups.entry(group_key).or_insert(vec![]);
group.push(value);
}
}
let mut out = TaggedDictBuilder::new(name.clone());
let mut out = TaggedDictBuilder::new(&tag);
for (k, v) in groups.iter() {
out.insert(k, Value::table(v));
}
yield ReturnSuccess::value(out)
};
Ok(stream.to_output_stream())
Ok(out.into_tagged_value())
}
#[cfg(test)]
mod tests {
use crate::commands::group_by::group;
use crate::data::meta::*;
use crate::Value;
use indexmap::IndexMap;
fn string(input: impl Into<String>) -> Tagged<Value> {
Value::string(input.into()).tagged_unknown()
}
fn row(entries: IndexMap<String, Tagged<Value>>) -> Tagged<Value> {
Value::row(entries).tagged_unknown()
}
fn table(list: &Vec<Tagged<Value>>) -> Tagged<Value> {
Value::table(list).tagged_unknown()
}
#[test]
fn groups_table_by_key() {
let for_key = String::from("date").tagged_unknown();
let nu_releases = vec![
row(
indexmap! {"name".into() => string("AR"), "country".into() => string("EC"), "date".into() => string("August 23-2019")},
),
row(
indexmap! {"name".into() => string("JT"), "country".into() => string("NZ"), "date".into() => string("August 23-2019")},
),
row(
indexmap! {"name".into() => string("YK"), "country".into() => string("US"), "date".into() => string("October 10-2019")},
),
row(
indexmap! {"name".into() => string("AR"), "country".into() => string("EC"), "date".into() => string("Sept 24-2019")},
),
row(
indexmap! {"name".into() => string("JT"), "country".into() => string("NZ"), "date".into() => string("October 10-2019")},
),
row(
indexmap! {"name".into() => string("YK"), "country".into() => string("US"), "date".into() => string("Sept 24-2019")},
),
row(
indexmap! {"name".into() => string("AR"), "country".into() => string("EC"), "date".into() => string("October 10-2019")},
),
row(
indexmap! {"name".into() => string("JT"), "country".into() => string("NZ"), "date".into() => string("Sept 24-2019")},
),
row(
indexmap! {"name".into() => string("YK"), "country".into() => string("US"), "date".into() => string("August 23-2019")},
),
];
assert_eq!(
group(&for_key, nu_releases, Tag::unknown()).unwrap(),
row(indexmap! {
"August 23-2019".into() => table(&vec![
row(indexmap!{"name".into() => string("AR"), "country".into() => string("EC"), "date".into() => string("August 23-2019")}),
row(indexmap!{"name".into() => string("JT"), "country".into() => string("NZ"), "date".into() => string("August 23-2019")}),
row(indexmap!{"name".into() => string("YK"), "country".into() => string("US"), "date".into() => string("August 23-2019")})
]),
"October 10-2019".into() => table(&vec![
row(indexmap!{"name".into() => string("YK"), "country".into() => string("US"), "date".into() => string("October 10-2019")}),
row(indexmap!{"name".into() => string("JT"), "country".into() => string("NZ"), "date".into() => string("October 10-2019")}),
row(indexmap!{"name".into() => string("AR"), "country".into() => string("EC"), "date".into() => string("October 10-2019")})
]),
"Sept 24-2019".into() => table(&vec![
row(indexmap!{"name".into() => string("AR"), "country".into() => string("EC"), "date".into() => string("Sept 24-2019")}),
row(indexmap!{"name".into() => string("YK"), "country".into() => string("US"), "date".into() => string("Sept 24-2019")}),
row(indexmap!{"name".into() => string("JT"), "country".into() => string("NZ"), "date".into() => string("Sept 24-2019")})
]),
})
);
}
}

256
src/commands/split_by.rs Normal file
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@ -0,0 +1,256 @@
use crate::commands::WholeStreamCommand;
use crate::data::TaggedDictBuilder;
use crate::errors::ShellError;
use crate::prelude::*;
pub struct SplitBy;
#[derive(Deserialize)]
pub struct SplitByArgs {
column_name: Tagged<String>,
}
impl WholeStreamCommand for SplitBy {
fn name(&self) -> &str {
"split-by"
}
fn signature(&self) -> Signature {
Signature::build("split-by").required(
"column_name",
SyntaxShape::String,
"the name of the column within the nested table to split by",
)
}
fn usage(&self) -> &str {
"Creates a new table with the data from the inner tables splitted by the column given."
}
fn run(
&self,
args: CommandArgs,
registry: &CommandRegistry,
) -> Result<OutputStream, ShellError> {
args.process(registry, split_by)?.run()
}
}
pub fn split_by(
SplitByArgs { column_name }: SplitByArgs,
RunnableContext { input, name, .. }: RunnableContext,
) -> Result<OutputStream, ShellError> {
let stream = async_stream! {
let values: Vec<Tagged<Value>> = input.values.collect().await;
if values.len() > 1 || values.is_empty() {
yield Err(ShellError::labeled_error(
"Expected table from pipeline",
"requires a table input",
column_name.span()
))
} else {
match split(&column_name, &values[0], name) {
Ok(split) => yield ReturnSuccess::value(split),
Err(err) => yield Err(err),
}
}
};
Ok(stream.to_output_stream())
}
pub fn split(
column_name: &Tagged<String>,
value: &Tagged<Value>,
tag: impl Into<Tag>,
) -> Result<Tagged<Value>, ShellError> {
let origin_tag = tag.into();
let mut splits = indexmap::IndexMap::new();
match value {
Tagged {
item: Value::Row(group_sets),
..
} => {
for (group_key, group_value) in group_sets.entries.iter() {
match *group_value {
Tagged {
item: Value::Table(ref dataset),
..
} => {
let group = crate::commands::group_by::group(
&column_name,
dataset.to_vec(),
&origin_tag,
)?;
match group {
Tagged {
item: Value::Row(o),
..
} => {
for (split_label, subset) in o.entries.into_iter() {
match subset {
Tagged {
item: Value::Table(subset),
tag,
} => {
let s = splits
.entry(split_label.clone())
.or_insert(indexmap::IndexMap::new());
s.insert(
group_key.clone(),
Value::table(&subset).tagged(tag),
);
}
other => {
return Err(ShellError::type_error(
"a table value",
other.tagged_type_name(),
))
}
}
}
}
_ => {
return Err(ShellError::type_error(
"a table value",
group.tagged_type_name(),
))
}
}
}
ref other => {
return Err(ShellError::type_error(
"a table value",
other.tagged_type_name(),
))
}
}
}
}
_ => {
return Err(ShellError::type_error(
"a table value",
value.tagged_type_name(),
))
}
}
let mut out = TaggedDictBuilder::new(&origin_tag);
for (k, v) in splits.into_iter() {
out.insert(k, Value::row(v));
}
Ok(out.into_tagged_value())
}
#[cfg(test)]
mod tests {
use crate::commands::split_by::split;
use crate::data::meta::*;
use crate::Value;
use indexmap::IndexMap;
fn string(input: impl Into<String>) -> Tagged<Value> {
Value::string(input.into()).tagged_unknown()
}
fn row(entries: IndexMap<String, Tagged<Value>>) -> Tagged<Value> {
Value::row(entries).tagged_unknown()
}
fn table(list: &Vec<Tagged<Value>>) -> Tagged<Value> {
Value::table(list).tagged_unknown()
}
#[test]
fn splits_inner_tables_by_key() {
let for_key = String::from("country").tagged_unknown();
let nu_releases = row(indexmap! {
"August 23-2019".into() => table(&vec![
row(indexmap!{"name".into() => string("AR"), "country".into() => string("EC"), "date".into() => string("August 23-2019")}),
row(indexmap!{"name".into() => string("JT"), "country".into() => string("NZ"), "date".into() => string("August 23-2019")}),
row(indexmap!{"name".into() => string("YK"), "country".into() => string("US"), "date".into() => string("August 23-2019")})
]),
"Sept 24-2019".into() => table(&vec![
row(indexmap!{"name".into() => string("AR"), "country".into() => string("EC"), "date".into() => string("Sept 24-2019")}),
row(indexmap!{"name".into() => string("JT"), "country".into() => string("NZ"), "date".into() => string("Sept 24-2019")}),
row(indexmap!{"name".into() => string("YK"), "country".into() => string("US"), "date".into() => string("Sept 24-2019")})
]),
"October 10-2019".into() => table(&vec![
row(indexmap!{"name".into() => string("AR"), "country".into() => string("EC"), "date".into() => string("October 10-2019")}),
row(indexmap!{"name".into() => string("JT"), "country".into() => string("NZ"), "date".into() => string("October 10-2019")}),
row(indexmap!{"name".into() => string("YK"), "country".into() => string("US"), "date".into() => string("October 10-2019")})
])
});
assert_eq!(
split(&for_key, &nu_releases, Tag::unknown()).unwrap(),
Value::row(indexmap! {
"EC".into() => row(indexmap! {
"August 23-2019".into() => table(&vec![
row(indexmap!{"name".into() => string("AR"), "country".into() => string("EC"), "date".into() => string("August 23-2019")})
]),
"Sept 24-2019".into() => table(&vec![
row(indexmap!{"name".into() => string("AR"), "country".into() => string("EC"), "date".into() => string("Sept 24-2019")})
]),
"October 10-2019".into() => table(&vec![
row(indexmap!{"name".into() => string("AR"), "country".into() => string("EC"), "date".into() => string("October 10-2019")})
])
}),
"NZ".into() => row(indexmap! {
"August 23-2019".into() => table(&vec![
row(indexmap!{"name".into() => string("JT"), "country".into() => string("NZ"), "date".into() => string("August 23-2019")})
]),
"Sept 24-2019".into() => table(&vec![
row(indexmap!{"name".into() => string("JT"), "country".into() => string("NZ"), "date".into() => string("Sept 24-2019")})
]),
"October 10-2019".into() => table(&vec![
row(indexmap!{"name".into() => string("JT"), "country".into() => string("NZ"), "date".into() => string("October 10-2019")})
])
}),
"US".into() => row(indexmap! {
"August 23-2019".into() => table(&vec![
row(indexmap!{"name".into() => string("YK"), "country".into() => string("US"), "date".into() => string("August 23-2019")})
]),
"Sept 24-2019".into() => table(&vec![
row(indexmap!{"name".into() => string("YK"), "country".into() => string("US"), "date".into() => string("Sept 24-2019")})
]),
"October 10-2019".into() => table(&vec![
row(indexmap!{"name".into() => string("YK"), "country".into() => string("US"), "date".into() => string("October 10-2019")})
])
})
}).tagged_unknown()
);
}
#[test]
fn errors_if_key_within_some_inner_table_is_missing() {
let for_key = String::from("country").tagged_unknown();
let nu_releases = row(indexmap! {
"August 23-2019".into() => table(&vec![
row(indexmap!{"name".into() => string("AR"), "country".into() => string("EC"), "date".into() => string("August 23-2019")}),
row(indexmap!{"name".into() => string("JT"), "country".into() => string("NZ"), "date".into() => string("August 23-2019")}),
row(indexmap!{"name".into() => string("YK"), "country".into() => string("US"), "date".into() => string("August 23-2019")})
]),
"Sept 24-2019".into() => table(&vec![
row(indexmap!{"name".into() => string("AR"), "country".into() => string("EC"), "date".into() => string("Sept 24-2019")}),
row(indexmap!{"name".into() => Value::string("JT").tagged(Tag::from(Span::new(5,10))), "date".into() => string("Sept 24-2019")}),
row(indexmap!{"name".into() => string("YK"), "country".into() => string("US"), "date".into() => string("Sept 24-2019")})
]),
"October 10-2019".into() => table(&vec![
row(indexmap!{"name".into() => string("AR"), "country".into() => string("EC"), "date".into() => string("October 10-2019")}),
row(indexmap!{"name".into() => string("JT"), "country".into() => string("NZ"), "date".into() => string("October 10-2019")}),
row(indexmap!{"name".into() => string("YK"), "country".into() => string("US"), "date".into() => string("October 10-2019")})
])
});
assert!(split(&for_key, &nu_releases, Tag::from(Span::new(5, 10))).is_err());
}
}

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@ -9,10 +9,10 @@ fn group_by() {
sandbox.with_files(vec![FileWithContentToBeTrimmed(
"los_tres_caballeros.csv",
r#"
first_name,last_name,rusty_luck,type
Andrés,Robalino,1,A
Jonathan,Turner,1,B
Yehuda,Katz,1,A
first_name,last_name,rusty_at,type
Andrés,Robalino,10/11/2013,A
Jonathan,Turner,10/12/2013,B
Yehuda,Katz,10/11/2013,A
"#,
)]);
@ -20,8 +20,8 @@ fn group_by() {
cwd: dirs.test(), h::pipeline(
r#"
open los_tres_caballeros.csv
| group-by type
| get A
| group-by rusty_at
| get "10/11/2013"
| count
| echo $it
"#
@ -37,10 +37,10 @@ fn group_by_errors_if_unknown_column_name() {
sandbox.with_files(vec![FileWithContentToBeTrimmed(
"los_tres_caballeros.csv",
r#"
first_name,last_name,rusty_luck,type
Andrés,Robalino,1,A
Jonathan,Turner,1,B
Yehuda,Katz,1,A
first_name,last_name,rusty_at,type
Andrés,Robalino,10/11/2013,A
Jonathan,Turner,10/12/2013,B
Yehuda,Katz,10/11/2013,A
"#,
)]);
@ -56,6 +56,60 @@ fn group_by_errors_if_unknown_column_name() {
})
}
#[cfg(data_processing_primitives)]
#[test]
fn split_by() {
Playground::setup("split_by_test_1", |dirs, sandbox| {
sandbox.with_files(vec![FileWithContentToBeTrimmed(
"los_tres_caballeros.csv",
r#"
first_name,last_name,rusty_at,type
Andrés,Robalino,10/11/2013,A
Jonathan,Turner,10/12/2013,B
Yehuda,Katz,10/11/2013,A
"#,
)]);
let actual = nu!(
cwd: dirs.test(), h::pipeline(
r#"
open los_tres_caballeros.csv
| group-by rusty_at
| split-by type
| get A."10/11/2013"
| count
| echo $it
"#
));
assert_eq!(actual, "2");
})
}
#[cfg(data_processing_primitives)]
#[test]
fn split_by_errors_if_no_table_given_as_input() {
Playground::setup("split_by_test_2", |dirs, sandbox| {
sandbox.with_files(vec![
EmptyFile("los.txt"),
EmptyFile("tres.txt"),
EmptyFile("amigos.txt"),
EmptyFile("arepas.clu"),
]);
let actual = nu_error!(
cwd: dirs.test(), h::pipeline(
r#"
ls
| get name
| split-by type
"#
));
assert!(actual.contains("Expected table from pipeline"));
})
}
#[test]
fn first_gets_first_rows_by_amount() {
Playground::setup("first_test_1", |dirs, sandbox| {