# Description
The second `Value` is redundant and will consume five extra bytes on
each transmission of a custom value to/from a plugin.
# User-Facing Changes
This is a breaking change to the plugin protocol.
The [example in the protocol
reference](https://www.nushell.sh/contributor-book/plugin_protocol_reference.html#value)
becomes
```json
{
"Custom": {
"val": {
"type": "PluginCustomValue",
"name": "database",
"data": [36, 190, 127, 40, 12, 3, 46, 83],
"notify_on_drop": true
},
"span": {
"start": 320,
"end": 340
}
}
}
```
instead of
```json
{
"CustomValue": {
...
}
}
```
# After Submitting
Update plugin protocol reference
# Description
When implementing a `Command`, one must also import all the types
present in the function signatures for `Command`. This makes it so that
we often import the same set of types in each command implementation
file. E.g., something like this:
```rust
use nu_protocol::ast::Call;
use nu_protocol::engine::{Command, EngineState, Stack};
use nu_protocol::{
record, Category, Example, IntoInterruptiblePipelineData, IntoPipelineData, PipelineData,
ShellError, Signature, Span, Type, Value,
};
```
This PR adds the `nu_engine::command_prelude` module which contains the
necessary and commonly used types to implement a `Command`:
```rust
// command_prelude.rs
pub use crate::CallExt;
pub use nu_protocol::{
ast::{Call, CellPath},
engine::{Command, EngineState, Stack},
record, Category, Example, IntoInterruptiblePipelineData, IntoPipelineData, IntoSpanned,
PipelineData, Record, ShellError, Signature, Span, Spanned, SyntaxShape, Type, Value,
};
```
This should reduce the boilerplate needed to implement a command and
also gives us a place to track the breadth of the `Command` API. I tried
to be conservative with what went into the prelude modules, since it
might be hard/annoying to remove items from the prelude in the future.
Let me know if something should be included or excluded.
# Description
Bump polars from 0.36 to 0.37
# User-Facing Changes
<!-- List of all changes that impact the user experience here. This
helps us keep track of breaking changes. -->
# Tests + Formatting
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# Description
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Fixes https://github.com/nushell/nushell/issues/11716
The problem is in our [record creation
API](0d518bf813/crates/nu-protocol/src/value/record.rs (L33))
which panics if the numbers of columns and values are different. I added
a safe variant that returns a `Result` and used it in the `rotate`
command.
## TODO in another PR:
Go through all `from_raw_cols_vals_unchecked()` (this includes the
`record!` macro which uses the unchecked version) and make sure that
either
a) it is guaranteed the number of cols and vals is the same, or
b) convert the call to `from_raw_cols_vals()`
Reason: Nushell should never panic.
# User-Facing Changes
<!-- List of all changes that impact the user experience here. This
helps us keep track of breaking changes. -->
# Tests + Formatting
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# After Submitting
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# Description
There are times where explicitly specifying a schema for a dataframe is
needed such as:
- Opening CSV and JSON lines files and needing provide more information
to polars to keep it from failing or in a desire to override default
type conversion
- When converting a nushell value to a dataframe and wanting to override
the default conversion behaviors.
This pull requests provides:
- A flag to allow specifying a schema when using dfr into-df
- A flag to allow specifying a schema when using dfr open that works for
CSV and JSON types
- A new command `dfr schema` which displays schema information and will
allow display support schema dtypes
Schema is specified creating a record that has the key value and the
dtype. Examples usages:
```
{a:1, b:{a:2}} | dfr into-df -s {a: u8, b: {a: i32}} | dfr schema
{a: 1, b: {a: [1 2 3]}, c: [a b c]} | dfr into-df -s {a: u8, b: {a: list<u64>}, c: list<str>} | dfr schema
dfr open -s {pid: i32, ppid: i32, name: str, status: str, cpu: f64, mem: i64, virtual: i64} /tmp/ps.jsonl | dfr schema
```
Supported dtypes:
null
bool
u8
u16
u32
u64
i8
i16
i32
i64
f32
f64
str
binary
date
datetime[time_unit: (ms, us, ns) timezone (optional)]
duration[time_unit: (ms, us, ns)]
time
object
unknown
list[dtype]
structs are also supported but are specified via another record:
{a: u8, b: {d: str}}
Another feature with the dfr schema command is that it returns the data
back in a format that can be passed to provide a valid schema that can
be passed in as schema argument:
<img width="638" alt="Screenshot 2024-01-29 at 10 23 58"
src="https://github.com/nushell/nushell/assets/56345/b49c3bff-5cda-4c86-975a-dfd91d991373">
---------
Co-authored-by: Jack Wright <jack.wright@disqo.com>
# Description
* release notes
https://github.com/pola-rs/polars/releases/tag/rs-0.36.2
* dependencies
remove `sysinfo` 0.29.11
add `polars-compute` 0.36.2
# User-Facing Changes
[Change value_counts resulting column name from counts to
count](https://github.com/pola-rs/polars/pull/12506)
# Tests + Formatting
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crates/nu-std"` to run the tests for the standard library
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# Description
Replace `.to_string()` used in `GenericError` with `.into()` as
`.into()` seems more popular
Replace `Vec::new()` used in `GenericError` with `vec![]` as `vec![]`
seems more popular
(There are so, so many)
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# Description
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Clippy fixes for rust 1.76.0-nightly
# User-Facing Changes
<!-- List of all changes that impact the user experience here. This
helps us keep track of breaking changes. -->
N/A
# Tests + Formatting
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sure to [enable developer
mode](https://learn.microsoft.com/en-us/windows/apps/get-started/developer-mode-features-and-debugging))
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crates/nu-std"` to run the tests for the standard library
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# After Submitting
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# Description
Add an extension trait `IgnoreCaseExt` to nu_utils which adds some case
insensitivity helpers, and use them throughout nu to improve the
handling of case insensitivity. Proper case folding is done via unicase,
which is already a dependency via mime_guess from nu-command.
In actuality a lot of code still does `to_lowercase`, because unicase
only provides immediate comparison and doesn't expose a `to_folded_case`
yet. And since we do a lot of `contains`/`starts_with`/`ends_with`, it's
not sufficient to just have `eq_ignore_case`. But if we get access in
the future, this makes us ready to use it with a change in one place.
Plus, it's clearer what the purpose is at the call site to call
`to_folded_case` instead of `to_lowercase` if it's exclusively for the
purpose of case insensitive comparison, even if it just does
`to_lowercase` still.
# User-Facing Changes
- Some commands that were supposed to be case insensitive remained only
insensitive to ASCII case (a-z), and now are case insensitive w.r.t.
non-ASCII characters as well.
# Tests + Formatting
- 🟢 `toolkit fmt`
- 🟢 `toolkit clippy`
- 🟢 `toolkit test`
- 🟢 `toolkit test stdlib`
---------
Co-authored-by: Stefan Holderbach <sholderbach@users.noreply.github.com>
# Description
Use `record!` macro instead of defining two separate `vec!` for `cols`
and `vals` when appropriate.
This visually aligns the key with the value.
Further more you don't have to deal with the construction of `Record {
cols, vals }` so we can hide the implementation details in the future.
## State
Not covering all possible commands yet, also some tests/examples are
better expressed by creating cols and vals separately.
# User/Developer-Facing Changes
The examples and tests should read more natural. No relevant functional
change
# Bycatch
Where I noticed it I replaced usage of `Value` constructors with
`Span::test_data()` or `Span::unknown()` to the `Value::test_...`
constructors. This should make things more readable and also simplify
changes to the `Span` system in the future.
# Description
Open question:
Undocumented behavior for the new argument `ambiguous` to the
`as_datetime`
methods. I cheated by passing a default (assuming empty string).
This appears like an API primarily serving the python impl:
https://pola-rs.github.io/polars/py-polars/html/reference/expressions/api/polars.Expr.str.to_datetime.html#polars-expr-str-to-datetime
# User-Facing Changes
Only dependent on breaking changes to the behavior of polars.
# Tests + Formatting
No observed changes to tests
Manually checked `dfr as-datetime`, doesn't seem to panic.
Elide the reference for `Copy` type (`usize`)
Use the canonical deref where possible.
* `&Box` -> `&`
* `&String` -> `&str`
* `&PathBuf` -> `&Path`
Skips the ctrl-C handler for now.
# Description
As part of the refactor to split spans off of Value, this moves to using
helper functions to create values, and using `.span()` instead of
matching span out of Value directly.
Hoping to get a few more helping hands to finish this, as there are a
lot of commands to update :)
# User-Facing Changes
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helps us keep track of breaking changes. -->
# Tests + Formatting
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crates/nu-std"` to run the tests for the standard library
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> ```
-->
# After Submitting
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---------
Co-authored-by: Darren Schroeder <343840+fdncred@users.noreply.github.com>
Co-authored-by: WindSoilder <windsoilder@outlook.com>
# Description
Many systems like Hadoops HDFS store parquet files with the short
variant `.parq`. It is quite annoying to rename these file before
opening them with nushell. This PR lets nushell accept .parq alongside
.parquet file endings.
# User-Facing Changes
Not sure if this is applicable here.
# Tests + Formatting
Make sure you've run and fixed any issues with these commands:
- `cargo fmt --all -- --check` to check standard code formatting (`cargo
fmt --all` applies these changes) - ✔️
- `cargo clippy --workspace -- -D warnings -D clippy::unwrap_used` to
check that you're using the standard code style - ✔️
- `cargo test --workspace` to check that all tests pass - ❌ (fails on
none related test)
- `cargo run -- -c "use std testing; testing run-tests --path
crates/nu-std"` to run the tests for the standard library -
✔️
# Description
This doesn't really do much that the user could see, but it helps get us
ready to do the steps of the refactor to split the span off of Value, so
that values can be spanless. This allows us to have top-level values
that can hold both a Value and a Span, without requiring that all values
have them.
We expect to see significant memory reduction by removing so many
unnecessary spans from values. For example, a table of 100,000 rows and
5 columns would have a savings of ~8megs in just spans that are almost
always duplicated.
# User-Facing Changes
Nothing yet
# Tests + Formatting
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# After Submitting
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# Description
This PR creates a new `Record` type to reduce duplicate code and
possibly bugs as well. (This is an edited version of #9648.)
- `Record` implements `FromIterator` and `IntoIterator` and so can be
iterated over or collected into. For example, this helps with
conversions to and from (hash)maps. (Also, no more
`cols.iter().zip(vals)`!)
- `Record` has a `push(col, val)` function to help insure that the
number of columns is equal to the number of values. I caught a few
potential bugs thanks to this (e.g. in the `ls` command).
- Finally, this PR also adds a `record!` macro that helps simplify
record creation. It is used like so:
```rust
record! {
"key1" => some_value,
"key2" => Value::string("text", span),
"key3" => Value::int(optional_int.unwrap_or(0), span),
"key4" => Value::bool(config.setting, span),
}
```
Since macros hinder formatting, etc., the right hand side values should
be relatively short and sweet like the examples above.
Where possible, prefer `record!` or `.collect()` on an iterator instead
of multiple `Record::push`s, since the first two automatically set the
record capacity and do less work overall.
# User-Facing Changes
Besides the changes in `nu-protocol` the only other breaking changes are
to `nu-table::{ExpandedTable::build_map, JustTable::kv_table}`.
- fixes#9806
# Description
Merges ExprAsNu command and ToNu into one command.
# User-Facing Changes
As both commands were overloading ```dfr into-nu``` there are no user
facing changes
---------
Co-authored-by: Jack Wright <jack.wright@disqo.com>
# Description
- A new one is the removal of unnecessary `#` in raw strings without `"`
inside.
-
https://rust-lang.github.io/rust-clippy/master/index.html#/needless_raw_string_hashes
- The automatically applied removal of `.into_iter()` touched several
places where #9648 will change to the use of the record API. If
necessary I can remove them @IanManske to avoid churn with this PR.
- Manually applied `.try_fold` in two places
- Removed a dead `if`
- Manual: Combat rightward-drift with early return
# Description
follow up to #8529 and #8914
this works very similarly to record annotations, only difference being
that
```sh
table<name: string>
^^^^ ^^^^^^
| |
| represents the type of the items in that column
|
represents the column name
```
more info on the syntax can be found
[here](https://github.com/nushell/nushell/pull/8914#issue-1672113520)
# User-Facing Changes
**[BREAKING CHANGE]**
this change adds a field to `SyntaxShape::Table` so any plugins that
used it will have to update and include the field. though if you are
unsure of the type the table expects, `SyntaxShape::Table(vec![])` will
suffice
# Description
This PR does a few things to help improve type hovers and, in the
process, fixes a few outstanding issues in the type system. Here's a
list of the changes:
* `for` now will try to infer the type of the iteration variable based
on the expression it's given. This fixes things like `for x in [1, 2, 3]
{ }` where `x` now properly gets the int type.
* Removed old input/output type fields from the signature, focuses on
the vec of signatures. Updated a bunch of dataframe commands that hadn't
moved over. This helps tie things together a bit better
* Fixed inference of types from subexpressions to use the last
expression in the block
* Fixed handling of explicit types in `let` and `mut` calls, so we now
respect that as the authoritative type
I also tried to add `def` input/output type inference, but unfortunately
we only know the predecl types universally, which means we won't have
enough information to properly know what the types of the custom
commands are.
# User-Facing Changes
Script typechecking will get tighter in some cases
Hovers should be more accurate in some cases that previously resorted to
any.
# Tests + Formatting
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---------
Co-authored-by: Darren Schroeder <343840+fdncred@users.noreply.github.com>
# Description
This PR updates the sqlparser dep to 0.34.0.
closes#9525
# User-Facing Changes
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helps us keep track of breaking changes. -->
# Tests + Formatting
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This PR reverts https://github.com/nushell/nushell/pull/9391
We try not to revert PRs like this, though after discussion with the
Nushell team, we decided to revert this one.
The main reason is that Nushell, as a codebase, isn't ready for these
kinds of optimisations. It's in the part of the development cycle where
our main focus should be on improving the algorithms inside of Nushell
itself. Once we have matured our algorithms, then we can look for
opportunities to switch out technologies we're using for alternate
forms.
Much of Nushell still has lots of opportunities for tuning the codebase,
paying down technical debt, and making the codebase generally cleaner
and more robust. This should be the focus. Performance improvements
should flow out of that work.
Said another, optimisation that isn't part of tuning the codebase is
premature at this stage. We need to focus on doing the hard work of
making the engine, parser, etc better.
# User-Facing Changes
Reverts the HashMap -> ahash change.
cc @FilipAndersson245
# Description
see https://github.com/nushell/nushell/issues/9390
using `ahash` instead of the default hasher. this will not affect
compile time as we where already building `ahash`.
# User-Facing Changes
<!-- List of all changes that impact the user experience here. This
helps us keep track of breaking changes. -->
# Tests + Formatting
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- `cargo run -- crates/nu-std/tests/run.nu` to run the tests for the
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# Description
Today the only way to extract date parts from a dfr series is the dfr
get-* set of commands. These create a new dataframe with just the
datepart in it, which is almost entirely useless. As far as I can tell
there's no way to append it as a series in the original dataframe. In
discussion with fdncred on Discord we decided the best route was to add
an expression for modifying columns created in dfr with-column. These
are the way you manipulate series within a data frame.
I'd like feedback on this approach - I think it's a fair way to handle
things. An example to test it would be:
```[[ record_time]; [ (date now)]] | dfr into-df | dfr with-column [ ((dfr col record_time) | dfr datepart nanosecond | dfr as "ns" ), (dfr col record_time | dfr datepart second | dfr as "s"), (dfr col record_time | dfr datepart minute | dfr as "m"), (dfr col record_time | dfr datepart hour | dfr as "h") ]```
I'm also proposing we deprecate the dfr get-* commands. I've not been able to figure out any meaningful way they could ever be useful, and this approach makes more sense by attaching the extracted date part to the row in the original dataframe as a new column.
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# User-Facing Changes
add in dfr datepart as an expression
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# Tests + Formatting
Need to add some better assertive tests. I'm also not sure how to properly write the test_dataframe at the bottom, but will revisit as part of this PR. Wanted to get feedback early.
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---------
Co-authored-by: Robert Waugh <robert@waugh.io>
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
```
