Importu simplifies the process of defining and sharing contracts that structured data must conform to in order to be importable into your application.
The project's primary goal is to make it possible to define an importer in a way that reads like a contract or specification, with the ability to separate rules from control flow. The source format may already be decided by a business client, or may require a joint partnership in agreeing on the desired format. Importu makes it possible to define an importer that can parallel a separate specification document, or used as the specification that can be shared and tested locally by any party that wants to make data available to you.
Secondary goals include providing reusable source parsers and adapters to get data into your application. Importu is designed to be modular and composable; it should be possible to write your own behaviors or write glue code to hook into other import-related gems.
Assuming you have the following data in the file data.csv
:
"isbn10","title","author","release_date","pages"
"0596516177","The Ruby Programming Language","David Flanagan and Yukihiro Matsumoto","Feb 1, 2008","448"
"1449355978","Computer Science Programming Basics in Ruby","Ophir Frieder, Gideon Frieder and David Grossman","May 1, 2013","188"
"0596523696","Ruby Cookbook"," Lucas Carlson and Leonard Richardson","Jul 26, 2006","910"
You can create a minimal importer to read the CSV data:
class BookImporter < Importu::Importer
# fields we expect to find in the CSV file, field order is not important
fields :title, :author, :isbn10, :pages, :release_date
end
And then load that data in your application:
require "importu"
filename = File.expand_path("../data.csv", __FILE__)
importer = BookImporter.new(Importu::Sources::CSV.new(filename))
# importer.records returns an Enumerable
importer.records.count # => 3
importer.records.select {|r| r[:author] =~ /Matsumoto/ }.count # => 1
importer.records.each do |record|
# ...
end
importer.records.map(&:to_hash)
A more complete example of the book importer above might look like the following:
require "importu"
class BookImporter < Importu::Importer
# if you want to define multiple fields with similar rules, use "fields"
# NOTE: `required: true` is redundant in this example; any defined
# fields must have a corresponding column in the source data by default
fields :title, :isbn10, :authors, required: true
# to mark a field as optional in the source data
field :pages, required: false
# you can reference the same field multiple times and apply rules
# incrementally; this provides a lot of flexibility in describing your
# importer rules, such as grouping all the required fields together and
# explicitly stating that "these are required"; the importer becomes the
# reference document:
#
# fields :title, :isbn10, :authors, :release_date, required: true
# fields :pages, required: false
#
# ...or keep all the rules for that field with that field, whatever makes
# sense for your particular use case.
# if your field is not named the same as the source data, you can use
# `label: "..."` to reference the correct field, where the label is what
# the field is labelled in the source data
field :authors, label: "author"
# you can convert fields using one of the built-in converters
field :pages, &convert_to(:integer)
field :release_date, &convert_to(:date) # date format is guessed
# some converters allow you to pass additional arguments; in the case of
# the date converter, you can pass an explicit format and it will raise an
# error if a date is encountered that doesn't match
field :release_date, &convert_to(:date, format: "%b %d, %Y")
# passing a block to a field definition allows you to add your own logic
# for converting data or checking for unexpected values
field :authors do
value = trimmed(:authors) # apply :trimmed converter which strips whitespace
authors = value ? value.split(/(?:, )|(?: and )|(?: & )/i) : []
if authors.none?
# ArgumentError will be converted to an Importu::FieldParseError, which
# will include the name of the field affected
raise ArgumentError, "at least one author is required"
end
authors
end
# abstract fields that are not part of the original data set can be created
field :by_matz, abstract: true do
# field conversion rules can reference other fields; the field value is
# what would be returned after referenced field's rules have been applied
field_value(:authors).include?("Yukihiro Matsumoto")
end
end
A more condensed version of the above, with all the rules grouped into individual field definitions:
class BookImporter < Importu::Importer
fields :title, :isbn10
field :authors, label: "author" do
authors = trimmed(:authors).to_s.split(/(?:, )|(?: and )|(?: & )/i)
raise ArgumentError, "at least one author is required" if authors.none?
authors
end
field :pages, required: false, &convert_to(:integer)
field :release_date, &convert_to(:date, format: "%b %d, %Y")
field :by_matz, abstract: true do
field_value(:authors).include?("Yukihiro Matsumoto")
end
end
Importu comes with several built-in converters for the most common ruby data types and data cleanup operations. Assigning a converter to your fields ensures that the value can be translated to the desired type or a validation error will be generated and the record flagged as invalid.
To use a converter, add &convert_to(type)
to the end of a field definition,
where type
is one of the types below.
Type | Description |
---|---|
:boolean | Coerces value to a boolean. Must be true, yes, 1, false, no, 0. Case-insensitive. |
:date | Coerces value to a date. Tries to guess format unless format: ... is provided. |
:datetime | Coerces value to a datetime. Tries to guess format unless format: ... is provided. |
:decimal | Coerces value to a BigDecimal. |
:float | Coerces value to a Float. |
:integer | Coerces value to an integer. Must look like an integer ("1.0" is invalid). |
:raw | Do nothing. Value will be passed through as-is from the source value. |
:string | Coerces value to a string, trimming leading a trailing whitespaces. |
:trimmed | Trims leading and trailing whitespace if value is a string, otherwise leave as-is. Empty strings are converted to nil. |
Some converters, such as :date and :datetime, accept optional arguments. To
pass arguments to a converter, add them after the converter's type, For
example, &convert_to(:date, format: "%Y-%m-%d")
will force date parsing to
use the "YYYY-MM-DD" format.
Type | Argument | Default | Description |
---|---|---|---|
:date | :format | autodetect | Parse value using a specific format. |
:datetime | :format | autodetect | Parse value using a specific format. |
Built-in converters can be overridden by creating a custom converter using the same name as the built-in converter. Overriding a converter in one import definition will not affect any converters outside of that definition.
All built-in converters are defined using the same method as custom
converters. See lib/importu/converters.rb
for their implementation, which
can be used as a guide for writing your own.
class BookImporter < Importu::Importer
converter :varchar do |field_name, length: 255|
value = trimmed(field_name)
value.nil? ? nil : String(value).slice(0, length)
# Instead of taking the first 255 characters, you may prefer to raise
# an error that enforces values from source data cannot exceed length.
# raise ArgumentError, "cannot exceed "#{length}" if value.length > length
end
fields :title, :author, &convert_to(:varchar)
fields :title, &convert_to(:varchar, length: 50)
end
To raise an error from within a converter, raise an ArgumentError
with a
message. That field will then be marked as invalid on the record and the
message will be used as the validation error message.
If you would like to use the same custom converters across multiple import definitions, they can be defined in a mixin and then included at the top of each definition or in a class that the imports inherit from. Importu takes this approach with its default converters, so you can look at the built-in converters as an example.
By default, importu uses the :trimmed
converter unless a converter has been
explicitly defined for the field. This should work for the vast majority of use
cases, but there are some cases where the default isn't exactly what you
wanted.
-
If you have a couple fields that cannot have their values trimmed, consider changing those fields to use the :raw converter.
-
If your opinion of trimmed is different than importu's, you can override the built-in :trimmed converter to match your preferred behavior.
-
If you never want any fields to have the :trimmed converter applied, you can change the default converter to use the :raw converter:
class BookImporter < Importu::Importer
converter :default, &convert_to(:raw)
end
- If you want to raise an error if a converter is not explicitly set for each field:
class BookImporter < Importu::Importer
converter :default do |name|
raise ArgumentError, "converter not defined for field #{name}"
end
end
If you define a model in the importer definition and the importer fields are named the same as the attributes in your model, Importu can iterate through and create or update records for you:
class BookImporter < Importu::Importer
model "Book"
# ...
end
filename = File.expand_path("../data.csv", __FILE__)
importer = BookImporter.new(Importu::Sources::CSV.new(filename))
summary = importer.import!
summary.total # => 3
summary.invalid # => 0
summary.created # => 3
summary.updated # => 0
summary.unchanged # => 0
summary = importer.import!
summary.total # => 3
summary.created # => 0
summary.unchanged # => 3
Importu uses the appraisal gem to test against multiple frameworks and versions. To run the entire test suite:
bundle exec appraisal bundle exec rspec spec
If any changes are made to the importu.gemspec
, Gemfile
or Appraisals
file, you should re-run the following command to update appraisal generated
under the gemfiles/
directory:
bundle exec appraisal install