Glific v5.1.6

View Source Glific.CSV.File (Glific v5.1.6)

First implementation to convert sheets to flows using a menu structure and UUID

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Types

t()

Functions

parse_header(rows)

Given a header, extract the indexes of the language, menu and content items which helps us when parsing each row

process_csv_file(file, output, organization_id)

Read a csv file, and split it up into a bunch of tuples that we are interested in. Assuming that the csv file is valid for now

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t()

View Source 
@type t() :: %Glific.CSV.File{
  __meta__: Ecto.Schema.Metadata.t(),
  contents: String.t() | nil,
  id: non_neg_integer() | nil,
  inserted_at: :utc_datetime | nil,
  main_menu: map() | nil,
  name: String.t() | nil,
  organization:
    Glific.Partners.Organization.t() | Ecto.Association.NotLoaded.t() | nil,
  organization_id: non_neg_integer() | nil,
  updated_at: :utc_datetime | nil,
  uuid_map: map() | nil
}

Link to this section Functions

Link to this function

parse_header(rows)

View Source 
@spec parse_header(list()) :: {list(), map()}

Given a header, extract the indexes of the language, menu and content items which helps us when parsing each row

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process_csv_file(file, output, organization_id)

View Source 
@spec process_csv_file(String.t(), String.t(), non_neg_integer()) :: map()

Read a csv file, and split it up into a bunch of tuples that we are interested in. Assuming that the csv file is valid for now