# Description
Constructing the internals of `Record` without checking the lengths is
bad. (also incompatible with changes to how we store records)
- Use `Record::from_raw_cols_vals` in dataframe code
- Use `record!` macro in dataframe test
- Use `record!` in `nu-color-config` tests
- Stop direct record construction in `nu-command`
- Refactor table construction in `from nuon`
# User-Facing Changes
None
# Tests + Formatting
No new tests, updated tests in equal fashion
Second attempt at polars Struct support. This version avoid using unsafe
checks by cloning the StructArray and utilizing the into_static to
convert to a StructOwned.
---------
Co-authored-by: Jack Wright <jack.wright@disqo.com>
# Description
This repeats #8268 to make all command usage strings start with an
uppercase letter and end with a period per #5056
Adds a test to ensure that commands won't regress
Part of #5066
# User-Facing Changes
Command usage is now consistent
# Tests + Formatting
- 🟢 `toolkit fmt`
- 🟢 `toolkit clippy`
- 🟢 `toolkit test`
- 🟢 `toolkit test stdlib`
# After Submitting
Automatic documentation updates
# 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)
Reverts nushell/nushell#10943
The current implementation of `arr_to_value` is unsound, as it allows
casts of arbitrary data to arbitrary types without being marked
`unsafe`.
The full safety requirements to perform both the cast and the following
unchecked access are not as clear that a simple change of `fn
arr_to_value` to `unsafe fn arr_to_value` could be blessed without
further investigation.
cc @ayax79
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# Description
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Clippy fixes for rust 1.76.0-nightly
# User-Facing Changes
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helps us keep track of breaking changes. -->
N/A
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Provides support for reading Polars structs. This allows opening of
supported files (jsonl, parquet, etc) that contain rows with structured
data.
The following attached json lines
file([receipts.jsonl.gz](https://github.com/nushell/nushell/files/13311476/receipts.jsonl.gz))
contains a customer column with structured data. This json lines file
can now be loaded via `dfr open` and will render as follows:
<img width="525" alt="Screenshot 2023-11-09 at 10 09 18"
src="https://github.com/nushell/nushell/assets/56345/4b26ccdc-c230-43ae-a8d5-8af88a1b72de">
This also addresses some cleanup of date handling and utilizing
timezones where provided.
This pull request only addresses reading data from polars structs. I
will address converting nushell data to polars structs in a future
request as this change is large enough as it is.
---------
Co-authored-by: Jack Wright <jack.wright@disqo.com>
# 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
This is easy to do with rust-analyzer, but I didn't want to just pump
these all out without feedback.
Part of #10700
# User-Facing Changes
None
# Tests + Formatting
- 🟢 `toolkit fmt`
- 🟢 `toolkit clippy`
- 🟢 `toolkit test`
- 🟢 `toolkit test stdlib`
# After Submitting
N/A
---------
Co-authored-by: Stefan Holderbach <sholderbach@users.noreply.github.com>
# Description
Changes `FromValue` to take owned `Value`s instead of borrowed `Value`s.
This eliminates some unnecessary clones (e.g., in `call_ext.rs`).
# User-Facing Changes
Breaking API change for `nu_protocol`.
# 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.
# Description
This will only display the list of subcommands.
Prompted by a question on Discord why completions may be missing.
With standard completion settings getting the subcommands doesn't seem
to be a problem but we could add this command for good measure.
# User-Facing Changes
New command `dfr` that does nothing apart from displaying the
subcommands and hogging a space in the completions
# Tests + Formatting
(-)
# Description
This PR cleans up some warnings on the latest chrono dependency.
# User-Facing Changes
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# Tests + Formatting
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# Description
We made the decision that our floating point type should be referred to
as `float` over `decimal`.
Commands were updated by #9979 and #10320
Now make the internal codebase consistent in referring to this data type
as `float`.
Work for #10332
# User-Facing Changes
`decimal` has been removed as a type name/symbol.
Instead of
```nushell
def foo [bar: decimal] decimal -> decimal {}
```
use
```nushell
def foo [bar: float] float -> float {}
```
Potential effect of `SyntaxShape`'s `Display` implementation now also
referring to `float` instead of `decimal`
# Details
- Rename `SyntaxShape::Decimal` to `Float`
- Update `Display for SyntaxShape` to `float`
- Update error message + fn name in dataframe code
- Fix docs in command examples
- Rename tests that are float specific
- Update doccomment on `SyntaxShape`
- Update comment in script
# Tests + Formatting
Updates the names of some tests
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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# Tests + Formatting
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---------
Co-authored-by: Darren Schroeder <343840+fdncred@users.noreply.github.com>
Co-authored-by: WindSoilder <windsoilder@outlook.com>
Same logic as in #9971
Prevents building the heavy polars and arrow dependencies when just
running `cargo test --workspace` or `rust-analyzer`
`polars-io` dependency was introduced in #10019
This addresses the warnings generated from using DateTime::from_utc.
DateTime::from_utc was deprecated as of chrono 0.4.27
Co-authored-by: Jack Wright <jack.wright@disqo.com>
Polars and SQLParser upgrade.
I have exposed features that have been added to polars as command args
where appropriate.
---------
Co-authored-by: Jack Wright <jack.wright@disqo.com>
Co-authored-by: Darren Schroeder <343840+fdncred@users.noreply.github.com>
Co-authored-by: sholderbach <sholderbach@users.noreply.github.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}`.
# Description
This PR bumps nushell from release version 0.84.0 to dev version 0.84.1.
# User-Facing Changes
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# Tests + Formatting
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Context: https://github.com/serde-rs/serde/issues/2538
As other projects are investigating, this should pin serde to the last
stable release before binary requirements were introduced.
# Description
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# Tests + Formatting
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# Description
- Adds support for conversion between nushell lists and polars lists
instead of treating them as a polars object.
- Fixed explode and flatten to work both as expressions or lazy
dataframe commands. The previous item was required to make this work.
---------
Co-authored-by: Jack Wright <jack.wright@disqo.com>
Co-authored-by: Darren Schroeder <343840+fdncred@users.noreply.github.com>
Context from Discord:
https://discord.com/channels/601130461678272522/615962413203718156/1138694933545504819
I was working on Nu for the first time in a while and I noticed that
sometimes rust-analyzer takes a really long time to run `cargo check` on
the entire workspace. I dug in and it was checking a bunch of
dataframe-related dependencies even though the `dataframe` feature is
not built by default.
It looks like this is a regression of sorts, introduced by
https://github.com/nushell/nushell/pull/9241. Thankfully the fix is
pretty easy, we can make it so everything important in
`nu-cmd-dataframe` is only used when the `dataframe` feature is enabled.
### Impact on `cargo check --workspace`
Before this PR: 635 crates, 33.59s
After this PR: 498 crates, ~20s
(with the `mold` linker and a `cargo clean` before each run, the
relative difference for incremental checks will likely be much larger)
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# Description
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