mirror of
https://github.com/nushell/nushell
synced 2025-01-25 11:25:21 +00:00
103 lines
3.3 KiB
Rust
103 lines
3.3 KiB
Rust
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use crate::commands::WholeStreamCommand;
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use crate::data::{Primitive, Value};
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use crate::prelude::*;
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use crate::{TaggedDictBuilder, TaggedListBuilder};
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use calamine::*;
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use std::io::Cursor;
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pub struct FromXLSX;
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#[derive(Deserialize)]
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pub struct FromXLSXArgs {
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headerless: bool,
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}
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impl WholeStreamCommand 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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.switch("headerless", "don't treat the first row as column names")
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}
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fn usage(&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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args: CommandArgs,
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registry: &CommandRegistry,
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) -> Result<OutputStream, ShellError> {
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args.process(registry, from_xlsx)?.run()
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}
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}
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fn from_xlsx(
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FromXLSXArgs {
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headerless: _headerless,
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}: FromXLSXArgs,
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runnable_context: RunnableContext,
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) -> Result<OutputStream, ShellError> {
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let input = runnable_context.input;
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let tag = runnable_context.name;
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let stream = async_stream! {
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let values: Vec<Tagged<Value>> = input.values.collect().await;
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for value in values {
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let value_tag = value.tag();
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match value.item {
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Value::Primitive(Primitive::Binary(vb)) => {
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let mut buf: Cursor<Vec<u8>> = Cursor::new(vb);
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let mut xls = Xlsx::<_>::new(buf).unwrap();
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let mut dict = TaggedDictBuilder::new(&tag);
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let sheet_names = xls.sheet_names().to_owned();
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for sheet_name in &sheet_names {
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let mut sheet_output = TaggedListBuilder::new(&tag);
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let current_sheet = xls.worksheet_range(sheet_name).unwrap().unwrap();
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for row in current_sheet.rows() {
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let mut row_output = TaggedDictBuilder::new(&tag);
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for (i, cell) in row.iter().enumerate() {
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let value = match cell {
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DataType::Empty => Value::nothing(),
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DataType::String(s) => Value::string(s),
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DataType::Float(f) => Value::decimal(*f),
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DataType::Int(i) => Value::int(*i),
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DataType::Bool(b) => Value::boolean(*b),
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_ => Value::nothing(),
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};
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row_output.insert(&format!("Column{}", i), value);
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}
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sheet_output.push(row_output.into_tagged_value().item);
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}
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dict.insert(sheet_name, sheet_output.into_tagged_value().item);
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}
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yield ReturnSuccess::value(dict.into_tagged_value());
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}
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_ => yield Err(ShellError::labeled_error_with_secondary(
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"Expected binary data from pipeline",
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"requires binary data input",
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&tag,
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"value originates from here",
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value_tag,
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)),
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}
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}
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};
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Ok(stream.to_output_stream())
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}
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