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Treat empty pipelines as pass-through (#8395)
# Description This allows empty pipelines to pass their emptiness through a filter. This helps fix issues like trying to run a filter on an `ls` in an empty directory. It also feels a bit more reasonable that a filter filters what is *there* but doesn't require something to be there. fixes #8393 # User-Facing Changes No breaking changes (that I know of). Should allow filtering to be a little less surprising with emptiness. # Tests + Formatting Don't forget to add tests that cover your changes. 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 -A clippy::needless_collect` to check that you're using the standard code style - `cargo test --workspace` to check that all tests pass # After Submitting If your PR had any user-facing changes, update [the documentation](https://github.com/nushell/nushell.github.io) after the PR is merged, if necessary. This will help us keep the docs up to date. --------- Co-authored-by: amtoine <stevan.antoine@gmail.com>
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2 changed files with 9 additions and 6 deletions
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@ -189,3 +189,10 @@ fn where_gt_null() {
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let actual = nu!("[{foo: 123} {}] | where foo? > 10 | to nuon");
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assert_eq!(actual.out, "[[foo]; [123]]");
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}
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#[test]
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fn pass_through_empty_pipelines() {
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let actual = nu!(cwd: ".", pipeline(r#"null | where name == "foo" | to json"#));
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assert_eq!(actual.out, "[]");
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}
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@ -302,6 +302,7 @@ impl PipelineData {
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},
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// Propagate errors by explicitly matching them before the final case.
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Value::Error { error } => Err(*error),
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Value::Nothing { .. } => Ok(PipelineIterator(PipelineData::empty())),
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other => Err(ShellError::OnlySupportsThisInputType {
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exp_input_type: "list, binary, raw data or range".into(),
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wrong_type: other.get_type().to_string(),
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@ -309,12 +310,7 @@ impl PipelineData {
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src_span: other.expect_span(),
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}),
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},
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PipelineData::Empty => Err(ShellError::OnlySupportsThisInputType {
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exp_input_type: "list, binary, raw data or range".into(),
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wrong_type: "null".into(),
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dst_span: span,
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src_span: span,
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}),
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PipelineData::Empty => Ok(PipelineIterator(PipelineData::empty())),
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other => Ok(PipelineIterator(other)),
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}
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}
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