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# Description `from ...` conversions pass along all metadata except `content_type`, which they set to `None`. ## Rationale `open`ing a file results in no `content_type` metadata if it can be parsed into a nu data structure, and using `open --raw` results in `content_type` metadata. `from ...` commands should preserve metadata ***except*** for `content_type`, as after parsing it's no longer that `content_type` and just structured nu data. These commands should return identical data *and* identical metadata ```nushell open foo.csv ``` ```nushell open foo.csv --raw | from csv ``` # User-Facing Changes N/A # Tests + Formatting - 🟢 toolkit fmt - 🟢 toolkit clippy - 🟢 toolkit test - 🟢 toolkit test stdlib # After Submitting N/A
201 lines
6.1 KiB
Rust
201 lines
6.1 KiB
Rust
use calamine::*;
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use chrono::{Local, LocalResult, Offset, TimeZone, Utc};
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use indexmap::IndexMap;
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use nu_engine::command_prelude::*;
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use std::io::Cursor;
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#[derive(Clone)]
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pub struct FromXlsx;
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impl Command for FromXlsx {
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fn name(&self) -> &str {
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"from xlsx"
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}
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fn signature(&self) -> Signature {
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Signature::build("from xlsx")
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.input_output_types(vec![(Type::Binary, Type::table())])
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.allow_variants_without_examples(true)
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.named(
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"sheets",
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SyntaxShape::List(Box::new(SyntaxShape::String)),
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"Only convert specified sheets",
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Some('s'),
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)
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.category(Category::Formats)
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}
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fn description(&self) -> &str {
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"Parse binary Excel(.xlsx) data and create table."
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}
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fn run(
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&self,
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engine_state: &EngineState,
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stack: &mut Stack,
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call: &Call,
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input: PipelineData,
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) -> Result<PipelineData, ShellError> {
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let head = call.head;
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let sel_sheets = if let Some(Value::List { vals: columns, .. }) =
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call.get_flag(engine_state, stack, "sheets")?
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{
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convert_columns(columns.as_slice())?
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} else {
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vec![]
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};
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let metadata = input.metadata().map(|md| md.with_content_type(None));
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from_xlsx(input, head, sel_sheets).map(|pd| pd.set_metadata(metadata))
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}
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fn examples(&self) -> Vec<Example> {
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vec![
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Example {
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description: "Convert binary .xlsx data to a table",
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example: "open --raw test.xlsx | from xlsx",
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result: None,
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},
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Example {
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description: "Convert binary .xlsx data to a table, specifying the tables",
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example: "open --raw test.xlsx | from xlsx --sheets [Spreadsheet1]",
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result: None,
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},
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]
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}
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}
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fn convert_columns(columns: &[Value]) -> Result<Vec<String>, ShellError> {
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let res = columns
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.iter()
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.map(|value| match &value {
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Value::String { val: s, .. } => Ok(s.clone()),
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_ => Err(ShellError::IncompatibleParametersSingle {
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msg: "Incorrect column format, Only string as column name".to_string(),
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span: value.span(),
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}),
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})
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.collect::<Result<Vec<String>, _>>()?;
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Ok(res)
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}
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fn collect_binary(input: PipelineData, span: Span) -> Result<Vec<u8>, ShellError> {
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if let PipelineData::ByteStream(stream, ..) = input {
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stream.into_bytes()
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} else {
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let mut bytes = vec![];
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let mut values = input.into_iter();
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loop {
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match values.next() {
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Some(Value::Binary { val: b, .. }) => {
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bytes.extend_from_slice(&b);
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}
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Some(x) => {
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return Err(ShellError::UnsupportedInput {
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msg: "Expected binary from pipeline".to_string(),
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input: "value originates from here".into(),
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msg_span: span,
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input_span: x.span(),
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})
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}
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None => break,
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}
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}
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Ok(bytes)
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}
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}
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fn from_xlsx(
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input: PipelineData,
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head: Span,
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sel_sheets: Vec<String>,
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) -> Result<PipelineData, ShellError> {
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let span = input.span();
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let bytes = collect_binary(input, head)?;
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let buf: Cursor<Vec<u8>> = Cursor::new(bytes);
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let mut xlsx = Xlsx::<_>::new(buf).map_err(|_| ShellError::UnsupportedInput {
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msg: "Could not load XLSX file".to_string(),
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input: "value originates from here".into(),
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msg_span: head,
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input_span: span.unwrap_or(head),
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})?;
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let mut dict = IndexMap::new();
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let mut sheet_names = xlsx.sheet_names();
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if !sel_sheets.is_empty() {
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sheet_names.retain(|e| sel_sheets.contains(e));
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}
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let tz = match Local.timestamp_opt(0, 0) {
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LocalResult::Single(tz) => *tz.offset(),
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_ => Utc.fix(),
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};
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for sheet_name in sheet_names {
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let mut sheet_output = vec![];
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if let Ok(current_sheet) = xlsx.worksheet_range(&sheet_name) {
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for row in current_sheet.rows() {
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let record = row
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.iter()
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.enumerate()
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.map(|(i, cell)| {
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let value = match cell {
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Data::Empty => Value::nothing(head),
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Data::String(s) => Value::string(s, head),
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Data::Float(f) => Value::float(*f, head),
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Data::Int(i) => Value::int(*i, head),
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Data::Bool(b) => Value::bool(*b, head),
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Data::DateTime(d) => d
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.as_datetime()
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.and_then(|d| match tz.from_local_datetime(&d) {
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LocalResult::Single(d) => Some(d),
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_ => None,
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})
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.map(|d| Value::date(d, head))
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.unwrap_or(Value::nothing(head)),
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_ => Value::nothing(head),
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};
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(format!("column{i}"), value)
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})
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.collect();
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sheet_output.push(Value::record(record, head));
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}
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dict.insert(sheet_name, Value::list(sheet_output, head));
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} else {
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return Err(ShellError::UnsupportedInput {
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msg: "Could not load sheet".to_string(),
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input: "value originates from here".into(),
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msg_span: head,
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input_span: span.unwrap_or(head),
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});
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}
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}
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Ok(PipelineData::Value(
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Value::record(dict.into_iter().collect(), head),
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None,
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))
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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#[test]
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fn test_examples() {
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use crate::test_examples;
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test_examples(FromXlsx {})
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}
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}
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