Struct FlatDataSpec 

pub struct FlatDataSpec {
    pub columns: Vec<Column>,
    pub decorations: Decorations,
}

Complete specification for a flat data layout (Table or CSV).

Fields

columns: Vec<Column>

Column specifications.

decorations: Decorations

Row decorations (separators, prefix, suffix).

Implementations

impl FlatDataSpec

pub fn resolve_widths(&self, total_width: usize) -> ResolvedWidths

Resolve column widths without examining data.

This uses minimum widths for Bounded columns and allocates remaining space to Fill columns. Use resolve_widths_from_data for data-driven width calculation.

Arguments

• total_width - Total available width including decorations

pub fn resolve_widths_from_data<S: AsRef<str>>( &self, total_width: usize, data: &[Vec<S>], ) -> ResolvedWidths

Resolve column widths by examining data to determine optimal widths.

For Bounded columns, scans the data to find the actual maximum width needed, then clamps to the specified bounds. Fill columns receive remaining space after all other columns are resolved.

Arguments

• total_width - Total available width including decorations
• data - Row data where each row is a slice of cell values

Example

use standout::tabular::{FlatDataSpec, Column, Width};

let spec = FlatDataSpec::builder()
    .column(Column::new(Width::Bounded { min: Some(5), max: Some(20) }))
    .column(Column::new(Width::Fill))
    .separator("  ")
    .build();

let data: Vec<Vec<&str>> = vec![
    vec!["short", "description"],
    vec!["longer value", "another"],
];
let widths = spec.resolve_widths_from_data(80, &data);

impl FlatDataSpec

pub fn new(columns: Vec<Column>) -> Self

Create a new spec with the given columns and default decorations.

pub fn builder() -> FlatDataSpecBuilder

Create a spec builder.

pub fn num_columns(&self) -> usize

Get the number of columns.

pub fn has_fill_column(&self) -> bool

Check if any column uses Fill width.

pub fn extract_header(&self) -> Vec<String>

Extract a header row from the spec.

Uses column header if present, otherwise key, otherwise empty string.

pub fn extract_row(&self, data: &Value) -> Vec<String>

Extract a data row from a JSON value using the spec.

For each column:

• If key is set, traverses the JSON to find the value.
• If key is unset/missing, uses null_repr.
• Handles nested objects via dot notation (e.g. “author.name”).

Trait Implementations

impl Clone for FlatDataSpec

fn clone(&self) -> FlatDataSpec

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for FlatDataSpec

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for FlatDataSpec

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for FlatDataSpec

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.