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README

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#
DatasetShape

pub(all) struct DatasetShape {
  row_count : Int
  column_names : Array[String]
  min_columns_per_row : Int
  max_columns_per_row : Int
  empty_row_count : Int
} derive(Eq, @moonbitlang/core/debug.Debug
Debug)

Structural facts about a normalized row collection.

#
inspect_shape

source

fn inspect_shape(rows : Array[Map[String, String]]) -> DatasetShape

Inspect row shape without interpreting field values.

#
normalize_rows

source

fn normalize_rows(rows : Array[Map[String, String]]) -> Array[Map[String, String]]

Trim keys and values so records from different input sources share one normalization policy before validation or serialization.

#
parse_csv_text

source

fn parse_csv_text(source : String) -> Array[Map[String, String]]

#
parse_jsonl_text

source

fn parse_jsonl_text(source : String) -> Array[Map[String, String]]

#
project_rows

source

fn project_rows(rows : Array[Map[String, String]], columns : Array[String]) -> Array[Map[String, String]]

Project records to a stable set of columns, filling missing cells with "".

#
read_csv_file

source

fn read_csv_file(path : String) -> Array[Map[String, String]]

#
read_jsonl_file

source

fn read_jsonl_file(path : String) -> Array[Map[String, String]]

#
render_csv

source

fn render_csv(rows : Array[Map[String, String]], columns : Array[String]) -> String

Serialize rows as RFC 4180-compatible single-line CSV records.

#
render_jsonl

source

fn render_jsonl(rows : Array[Map[String, String]]) -> String

Serialize rows as JSONL with every cell represented as a JSON string.

#
row_columns

source

fn row_columns(rows : Array[Map[String, String]]) -> Array[String]

Return all column names in sorted order without duplicates.

Source Files

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#DatasetShape

#inspect_shape

#normalize_rows

#parse_csv_text

#parse_jsonl_text

#project_rows

#read_csv_file

#read_jsonl_file

#render_csv

#render_jsonl

#row_columns

Source Files

#
DatasetShape

#
inspect_shape

#
normalize_rows

#
parse_csv_text

#
parse_jsonl_text

#
project_rows

#
read_csv_file

#
read_jsonl_file

#
render_csv

#
render_jsonl

#
row_columns