Provides tools to shift data between Excel/CSV files and Rails projects and Ruby applications
Import and export models fully with all associations.
Comprehensive Wiki here : https://github.com/autotelik/datashift/wiki
Specific command line tools and full Product loading for Spree E-Commerce now separate gem at datashift_spree
Import and Export ActiveRecord models direct to CSV or Excel/OpenOffice (.xls) (JRuby, 1.8.7, REE, 1.9.3)
You can select which associations to include and for import, set configurable defaults or over rides.
Create, parse and use Excel/OpenOffice (.xls) documents dynamically from Ruby (JRuby, 1.8.7, REE, 1.9.3)
Generate a sample template with headers only.
Export template and populate with model data
Bulk import tools for Paperclip attachments.
Easily extendable Loader functionality to deal with non trivial import cases, such as complex association lookups.
High level rake and thor command line tasks for import/export provided.
Specific loaders and command line tasks provided out the box for Spree E-Commerce, enabling import/export of Product data including creating Variants with different count on hands and all associations including Properties/Taxons/OptionTypes and Images.
Loaders can be configured via YAML with over ride values, default values and mandatory column settings.
Many example Spreadsheets/CSV files in spec/fixtures, fully documented with comments for each column.
Add gem 'datashift' to your Gemfile/bundle or use
For Spree support also add :
To use :
To use the Thor command line applications, pull in the tasks.
Generally the easiest way is to, create a high level .thor file in your Rails root directory
Edit the file and add the following to pull in the thor commands :
require 'thor' require 'datashift' DataShift::load_commands
To keep the availability to only development mode use
ruby DataShift::load_commands if(Rails.env.development?)
To check the available tasks run
bundle exec thor list datashift
To get usage information use thor help , for example
bundle exec thor help datashift:generate:excel
To use Excel OLE and MS Excel are NOT required.
Features a common Excel interface over both our own wrapper around Apache POI (JRuby) and spreadsheet gem (all main Rubies)
This means you can switch seamlessly between the two libraries, and if required drop down to make use of advanced features in the brilliant Apache POI libraries for anyone using JRuby.
Guards are provided, and used internally, for mixed Ruby setups. Can be used like :
if(DataShift::Guards::jruby? ) ..do something with Apache else ..do something with speadsheet end
Provides high level tasks for importing data via ActiveRecord models into a DB, from various sources, currently csv or .xls files (Excel/Open Office)
Please use thor list and thor help to get latest command lines
bundle exec thor datashift:import:csv model=BlogPost input=BlogPostImport.csv verbose=true
Provides high level tasks for exporting data to various sources, currently .xls files (Excel/Open Office)
bundle exec thor datashift:export:excel model=BlogPost result=BlogExport.xls
Import based on column headings with Semi-Smart Name Lookup
On import, first a dictionary of all possible attributes and associations is created for the AR class.
This enables lookup, of a user supplied name (column heading), managing white space, pluralisation etc .
Example usage, load from a file or spreadsheet where the column names are only an approximation of the actual associations, so given 'Product Properties' heading, finds real association 'product_properties' to send or call on the AR object
Can import/export 'belongs_to, 'has_many' and 'has_one' associations, including assignment of multiple objects via either multiple columns, or via a DSL for creating multiple entries in a single (column).
The DSL can also be used to define which fields to lookup associations, and assign values to other fields.
See Wiki for more details on DSL syntax.
Supports inclusion of delegated attributes and normal instance methods as column headings.
The library can be easily extended with Loaders to deal with non trivial cases, for example when multiple lookups required to find right association.
Spree loaders are an example, these illustrate over riding processing for specific columns with complicated lookup requirements. Spree is the prime Open Source e-commerce project for Rails, and the specific loaders and tasks support loading Spree Products, and associated data such as Variants, OptionTypes, Properties and Images.
Template generation tasks can be used to export a model's definition as column headings to CSV or .xls. These can be provided to developers or business users, as a template for data collection and then loading.
Export tasks can be used to export of a model's definition and any existing data stored in the database.
This data can be exported directly to CSV or Excel/OpenOffice spreadsheets.
A number of example Spreadsheets with headers and comments, can be found in the spec/fixtures directory.
Extensive Spree samples - including .xls and csv versions for simple Products or complex Products with multiple taxons, variants properties etc - can be found in the spec/fixtures/spree subdirectory.
Column headings contain comments with full descriptions and instructions on syntax.
MS Excel itself does not need to be installed.
Our proxy for Excel allows seamless switching between 'spreadsheet' gem and datashift's own JRuby wrapper over Apache POI.
When using JRuby, Apache POI may offer advanced facilities not found in standard Ruby spreadsheet gem
The required POI jars are already included.
Excel/OpenOffice spreadsheets are heavily used in many sectors, so direct support makes it easier and quicker to migrate your client's data into a Rails/ActiveRecord project, without converting first to CSV or YAML.
To perform a lookup for an associated model, the primary column(s) must be supplied, along with required select values for those columns.
A single association column can contain multiple name/value sets, in string form :
So if our Project model has many Categories, we can supply a Category list, which is keyed on the column Category.reference with :
During loading, a call to find_all_by_reference will be made, picking up the 2 categories with matching references, and our Project model will contain those two i.e project.categories = [category_002,category_003]
Smart sorting of column processing order ....
Does not currently ensure mandatory columns (for valid?) processed first.
Look at implementing import/export API using something like https://github.com/ianwhite/orm_adapter rather than active record, so we can support additional ORMs
Copyright:: (c) Autotelik Media Ltd 2011
Author :: Tom Statter
Date :: Dec 2011
The MIT License
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