Struct ImportSpec 

pub struct ImportSpec {
    pub path: PathBuf,
    pub delimiter: u8,
    pub has_header: bool,
    pub measure_id: MeasureId,
    pub measure_name: String,
    pub value_type: ValueType,
    pub value_column: ColumnRef,
    pub dimensions: Vec<DimensionMapping>,
    pub item_id_base: u32,
    pub max_records: Option<usize>,
}

How to map a CSV/TSV file’s columns onto model elements. Each dimensions entry names a column that becomes a category; value_column names the column that becomes the imported measure’s value. A row therefore contributes one input cell: measure[dim=val, …] = value_column.

Fields

path: PathBuf

File to read (ignored by import_csv_from, which takes a reader).

delimiter: u8

Field delimiter: b',' for CSV, b'\t' for TSV.

has_header: bool

Whether the file’s first row is a header (enables ColumnRef::Name).

measure_id: MeasureId

The measure to create/populate for the value column.

measure_name: String

value_type: ValueType

The declared type of the value column. Number parses strictly (a non-numeric value errors); Boolean/Text never error on the value column — a Boolean column that fails to match true/false falls back to Text for that cell.

value_column: ColumnRef

dimensions: Vec<DimensionMapping>

item_id_base: u32

Base id for minting item ids; new items get sequential ids from here.

max_records: Option<usize>

Most data records accepted; more is an error. None means DEFAULT_MAX_RECORDS.