# Effective DataTables
Uniquely powerful server-side searching, sorting and filtering of any ActiveRecord or Array collection as well as post-rendered content displayed as a frontend jQuery Datatable.
Use a simple DSL in just one ruby file to implement all features
Search raw database tables and ruby post-rendered results at the same time
Packages the jQuery DataTables assets for use in a Rails 3.2.x & Rails 4.x application using Twitter Bootstrap 2 or 3
## Getting Started
```ruby
gem 'effective_datatables'
```
Run the bundle command to install it:
```console
bundle install
```
Install the configuration file:
```console
rails generate effective_datatables:install
```
The generator will install an initializer which describes all configuration options.
Require the javascript on the asset pipeline by adding the following to your application.js:
```ruby
# For use with Bootstrap3 (which is not included in this gem):
//= require effective_datatables
# For use with Bootstrap2 (which is not includled in this gem):
//= require effective_datatables.bootstrap2
```
Require the stylesheet on the asset pipeline by adding the following to your application.css:
```ruby
# For use with Bootstrap3 (which is not included in this gem):
*= require effective_datatables
# For use with Bootstrap2 (which is not not included in this gem):
*= require effective_datatables.bootstrap2
```
## Usage
We create a model, initialize it within our controller, then render it from a view
### The Model
Start by creating a model in the `/app/models/effective/datatables/` directory.
Any `Effective::Datatable` models that exist in this directory will be automatically detected and 'just work'.
Below is a very simple example file, which we will expand upon later.
This model exists at `/app/models/effective/datatables/posts.rb`:
```ruby
module Effective
module Datatables
class Posts < Effective::Datatable
datatable do
table_column :id
table_column :user # if Post belongs_to :user
table_column :title
table_column :created_at
end
def collection
Post.all
end
end
end
end
```
### The Controller
We're going to display this DataTable on the posts#index action
```ruby
class PostsController < ApplicationController
def index
@datatable = Effective::Datatables::Posts.new
end
end
```
### The View
Here we just render the datatable:
```erb
All Posts
<%= render_datatable(@datatable) %>
```
## How It Works
When the jQuery DataTable is first initialized on the front-end, it makes an AJAX request back to the server asking for data.
The effective_datatables gem intercepts this request and returns the appropriate results.
Whenever a search, sort, filter or pagination is initiated on the front end, that request is interpretted by the server and the appropriate results returned.
Due to the unique search/filter ability of this gem, a mix of raw database tables and processed results may be worked with at the same time.
### Effective::Datatable Model & DSL
Once your controller and view are set up to render a Datatable, the model is the central point to configure all behaviour.
This single model file contains just 1 required method and responds to only 3 DSL commands.
Each `Effective::Datatable` model must be defined in the `/app/models/effective/datatables/` directory.
For example: `/app/models/effective/datatables/posts.rb`:
```ruby
module Effective
module Datatables
class Posts < Effective::Datatable
datatable do
default_order :created_at, :desc
default_entries 25
table_column :id, :visible => false
table_column :created_at, :width => '25%'
table_column :updated_at, :proc => Proc.new { |post| nicetime(post.updated_at) } # just a standard helper as defined in helpers/application_helper.rb
table_column :user
table_column :post_category_id, :filter => {:type => :select, :values => Proc.new { PostCategory.all } } do |post|
post.post_category.name.titleize
end
array_column :comments do |post|
content_tag(:ul) do
post.comments.where(:archived => false).map do |comment|
content_tag(:li, comment.title)
end.join('').html_safe
end
end
table_column :title, :label => 'Post Title', :class => 'col-title'
table_column :actions, :sortable => false, :filter => false, :partial => '/posts/actions'
end
def collection
Post.where(:archived => false).includes(:post_category)
end
end
end
end
```
### The collection
A required method `def collection` must be defined to return the base ActiveRecord collection.
It can be as simple or as complex as you'd like:
```ruby
def collection
Posts.all
end
```
or (complex example):
```ruby
def collection
collection = Effective::Order.unscoped.purchased
.joins(:user)
.joins(:order_items)
.group('users.email')
.group('orders.id')
.select('users.email AS email')
.select('orders.*')
.select("#{query_total} AS total")
.select("string_agg(order_items.title, '!!OI!!') AS order_items")
if attributes[:user_id].present?
collection.where(:user_id => attributes[:user_id])
else
collection
end
end
def query_total
"SUM((order_items.price * order_items.quantity) + (CASE order_items.tax_exempt WHEN true THEN 0 ELSE ((order_items.price * order_items.quantity) * order_items.tax_rate) END))"
end
```
### Array Backed collection
Don't want to use ActiveRecord? Not a problem.
Define your collection as an Array of Arrays, declare only array_columns, and everything works as expected.
```ruby
module Effective
module Datatables
class ArrayBackedDataTable < Effective::Datatable
datatable do
array_column :id
array_column :first_name
array_column :last_name
array_column :email
end
def collection
[
[1, 'Dana', 'Janssen', 'dana@agilestyle.com'],
[2, 'Ashley', 'Janssen', 'ashley@agilestyle.com'],
[3, 'Matthew', 'Riemer', 'matthew@agilestyle.com'],
[4, 'Stephen', 'Brown', 'stephen@agilestyle.com'],
[5, 'Warren', 'Uhrich', 'warren@agilestyle.com'],
[6, 'Dallas', 'Meidinger', 'dallas@agilestyle.com'],
[7, 'Nathan', 'Feaver', 'nathan@agilestyle.com']
]
end
end
end
end
```
## table_column
This is the main DSL method that you will interact with.
table_column defines a 1:1 mapping between a SQL database table column and a frontend jQuery Datatables table column. It creates a column.
table_column performs searching and sorting on the raw database records, before any results are rendered.
Options may be passed to specify the display, search, sort and filter behaviour for that column.
When the given name of the table_column matches an ActiveRecord attribute, the options are set intelligently based on the underlying datatype.
```ruby
# The name of the table column as per the Database
# This column is detected as an Integer, therefore it is :type => :integer
# Any SQL used to search this field will take the form of "id = ?"
table_column :id
# As per our 'complex' example above, using the .select('customers.stripe_customer_id AS stripe_customer_id') syntax to create a faux database table
# This column is detected as a String, therefore it is :type => :string
# Any SQL used to search this field will take the form of "customers.stripe_customer_id ILIKE %?%"
table_column :stripe_customer_id, :column => 'customers.stripe_customer_id'
# The name of the table column as per the Database
# This column is detected as a DateTime, therefore it is :type => :datetime
# Any SQL used to search this field will take the form of
# "to_char(#{column} AT TIME ZONE 'GMT', 'YYYY-MM-DD HH24:MI') ILIKE '%?%'"
table_column :created_at
# If the name of the table column matches a belongs_to in our collection's main class
# This column will be detected as a belongs_to and some predefined filters will be set up
# So declaring the following
table_column :user
# Will have the same behaviour as declaring
datatable do
if attributes[:user_id].blank?
table_column :user_id, :filter => {:type => :select, :values => Proc.new { User.all.map { |user| [user.id, user.to_s] }.sort { |x, y| x[1] <=> y[1] } } } do |post|
post.user.to_s
end
end
end
```
All table_columns are `visible: true`, `sortable: true` by default.
## array_column
`array_column` accepts the same options as `table_column` and behaves identically on the frontend.
The difference occurs with sorting and filtering:
array_columns perform searching and sorting on the computed results after all columns have been rendered.
With a `table_column`, the frontend sends some search terms to the server, the raw database table is searched & sorted using standard ActiveRecord .where(), the appropriate rows returned, and then each row is rendered as per the rendering options.
With an `array_column`, the front end sends some search terms to the server, all rows are returned and rendered, and then the rendered output is searched & sorted.
This allows the output of an `array_column` to be anything complex that cannot be easily computed from the database.
When searching & sorting with a mix of table_columns and array_columns, all the table_columns are processed first so the most work is put on the database, the least on rails.
### General Options
The following options control the general behaviour of the column:
```ruby
:column => 'users.id' # Set this if you're doing something tricky with the database. Used internally for .order() and .where() clauses
:type => :string # Derived from the ActiveRecord attribute default datatype. Controls searching behaviour. Valid options include :string, :text, :datetime, :integer, :boolean, :year
```
### Display Options
The following options control the display behaviour of the column:
```ruby
:label => 'Nice Label' # Override the default column header label
:sortable => true|false # Allow sorting of this column. Otherwise the up/down arrows on the frontend will be disabled.
:visible => true|false # Hide this column at startup. Column visbility can be changed on the frontend. By default, hidden column filter terms are ignored.
:width => '100%'|'100px' # Set the width of this column. Can be set on one, all or some of the columns. If using percentages, should never add upto more than 100%
:class => 'col-example' # Adds an html class to the column's TH and all TD elements. Add more than one class with 'example col-example something'
```
### Filtering Options
Setting a filter will create an appropriate text/number/select input in the header row of the column.
The following options control the filtering behaviour of the column:
```ruby
table_column :created_at, :filter => false # Disable filtering on this column entirely
table_column :created_at, :filter => {...} # Enable filtering with these options
:filter => {:type => :number}
:filter => {:type => :text}
:filter => {:type => :select, :values => ['One', 'Two'], :selected => 'Two'}
:filter => {:type => :select, :values => [*2010..(Time.zone.now.year+6)]}
:filter => {:type => :select, :values => Proc.new { PostCategory.all } }
:filter => {:type => :select, :values => Proc.new { User.all.order(:email).map { |obj| [obj.id, obj.email] } } }
```
Some additional, lesser used options include:
```ruby
:filter => {:fuzzy => true} # Will use an ILIKE/includes rather than = when filtering. Use this for selects.
:filter => {sql_operation => :having} # Will use .having() instead of .where() to handle aggregate columns (autodetected)
```
### Rendering Options
There are a few different ways to render each column's output.
Any standard view helpers like `link_to` or `simple_format` and any custom helpers available to your views will be available.
All of the following rendering options can be used interchangeably:
Block format (really, this is your cleanest option):
```ruby
table_column :created_at do |post|
if post.created_at > (Time.zone.now-1.year)
link_to('this year', post_path(post))
else
link_to(post.created_at.strftime("%Y-%m-%d %H:%M:%S"), post_path(post))
end
end
```
Proc format:
```ruby
table_column :created_at, :proc => Proc.new { |post| link_to(post.created_at, post_path(post)) }
```
Partial format:
```ruby
table_column :actions, :partial => '/posts/actions' # render this partial for each row of the table
```
then in your `/app/views/posts/_actions.html.erb` file:
```erb
<%= link_to('View', post_path(post)) %>
<%= link_to('Edit', edit_post_path(post)) %>
```
The local object name will either match the database table singular name `post`, the name of the partial `actions`, or `obj` unless overridden with:
```ruby
table_column :actions, :partial => '/posts/actions', :partial_local => 'the_post'
```
There are also a built in helper, `datatables_admin_path?` to considering if the current screen is in the `/admin` namespace:
```ruby
table_column :created_at do |post|
if datatables_admin_path?
link_to admin_posts_path(post)
else
link_to posts_path(post)
end
end
```
The request object is available to the table_column, so you could just as easily call:
```ruby
request.referer.include?('/admin/')
```
### Column Header Rendering Options
You can override the default rendering and define a partial to use for the header ``:
```ruby
table_column :special, :header_partial => '/posts/special_header'
```
The following locals will be available in the header partial:
```ruby
form # The SimpleForm FormBuilder instance
name # The name of your column
column # the table_column options
filterable # whether the dataTable is filterable
```
## table_columns
Quickly create multiple table_columns all with default options:
```ruby
table_columns :id, :created_at, :updated_at, :category, :title
```
## default_order
Sort the table by this field and direction on start up
```ruby
default_order :created_at, :asc|:desc
```
## default_entries
The number of entries to show per page
```ruby
default_entries :all
```
Valid options are `10, 25, 50, 100, 250, 1000, :all`
## Additional Functionality
There are a few other ways to customize the behaviour of effective_datatables
### Checking for Empty collection
Check whether the datatable has records by calling `@datatable.empty?` and `@datatable.present?`.
Keep in mind, these methods look at the collection's total records, not the currently displayed/filtered records.
### Customize Filter Behaviour
This gem does its best to provide "just works" filtering of both raw SQL (table_column) and processed results (array_column) out-of-the-box.
It's also very easy to override the filter behaviour on a per-column basis.
Keep in mind, the filter terms on hidden columns will still be considered in filter results.
For custom filter behaviour, specify a `def search_column` method in the datatables model file:
```ruby
def collection
User.unscoped.uniq
.joins('LEFT JOIN customers ON customers.user_id = users.id')
.select('users.*')
.select('customers.stripe_customer_id AS stripe_customer_id')
.includes(:addresses)
end
def search_column(collection, table_column, search_term)
if table_column[:name] == 'subscription_types'
collection.where('subscriptions.stripe_plan_id ILIKE ?', "%#{search_term}%")
else
super
end
end
```
### Initialize with attributes
Any attributes passed to `.new()` will be persisted through the lifecycle of the datatable.
You can use this to scope the datatable collection or create even more advanced search behaviour.
In the following example we will hide the User column and scope the collection to a specific user.
In your controller:
```ruby
class PostsController < ApplicationController
def index
@datatable = Effective::Datatables::Posts.new(:user_id => current_user.try(:id))
end
end
```
And then in your datatable:
```ruby
module Effective
module Datatables
class Posts < Effective::Datatable
datatable do
if attributes[:user_id].blank?
table_column :user_id { |post| post.user.email }
end
end
def collection
if attributes[:user_id]
Post.where(user_id: attributes[:user_id])
else
Post.all
end
end
end
end
end
```
### Helper methods
Any non-private methods defined in the datatable model will be available to your table_columns and evaluated in the view_context.
```ruby
module Effective
module Datatables
class Posts < Effective::Datatable
def format_post_title(post)
if post.title.start_with?('important')
link_to(post.title.upcase, post_path(post))
else
link_to(post.title, post_path(post))
end
end
datatable do
table_column :title do |post|
format_post_title(post)
end
end
def collection
Post.all
end
end
end
end
```
You can also get the same functionality by including a regular Rails helper within the datatable model.
```ruby
module PostHelper
end
```
```ruby
module Effective
module Datatables
class Posts < Effective::Datatable
include PostsHelper
end
end
end
```
## Working with other effective_gems
### Effective Obfuscation
When working with an ActiveRecord collection that implements [effective_obfuscation](https://github.com/code-and-effect/effective_obfuscation) for the ID column,
that column's filters and sorting will be automatically configured.
Just define `table_column :id`
Unfortunately, due to the effective_obfuscation algorithm, sorting and filtering by partial values is not supported.
So the column may not be sorted, and may only be filtered by typing the entire 10-digit number, with or without any formatting.
### Effective Roles
When working with an ActiveRecord collection that implements [effective_roles](https://github.com/code-and-effect/effective_roles),
the filters and sorting will be automatically configured.
Just define `table_column :roles`
The `EffectiveRoles.roles` collection will be used for the filter values, and sorting will be done by roles_mask.
## Get access to the raw results
After all the searching, sorting and rendering of final results is complete, the server sends back an Array of Arrays to the front end jQuery DataTable
The finalize method provides a hook to process the final collection as an Array of Arrays just before it is convered to JSON.
This final collection is available after searching, sorting and pagination.
As you have full control over the table_column presentation, I can't think of any reason you would actually need or want this:
```ruby
def finalize(collection)
collection.each do |row|
row.each do |column|
column.gsub!('horse', 'force') if column.kind_of?(String)
end
end
end
```
## Authorization
All authorization checks are handled via the config.authorization_method found in the `config/initializers/effective_datatables.rb` file.
It is intended for flow through to CanCan or Pundit, but neither of those gems are required.
This method is called by the controller action with the appropriate action and resource
Action will be `:index`
The resource will be the collection base class, such as `Post`. This can be overridden:
```ruby
def collection_class
NotPost
end
```
The authorization method is defined in the initializer file:
```ruby
# As a Proc (with CanCan)
config.authorization_method = Proc.new { |controller, action, resource| authorize!(action, resource) }
```
```ruby
# As a Custom Method
config.authorization_method = :my_authorization_method
```
and then in your application_controller.rb:
```ruby
def my_authorization_method(action, resource)
current_user.is?(:admin) || EffectivePunditPolicy.new(current_user, resource).send('#{action}?')
end
```
or disabled entirely:
```ruby
config.authorization_method = false
```
If the method or proc returns false (user is not authorized) an `Effective::AccessDenied` exception will be raised
You can rescue from this exception by adding the following to your application_controller.rb:
```ruby
rescue_from Effective::AccessDenied do |exception|
respond_to do |format|
format.html { render 'static_pages/access_denied', :status => 403 }
format.any { render :text => 'Access Denied', :status => 403 }
end
end
```
## Examples
### Search by a belongs_to objects' field
In this example, a User belongs_to an Applicant. But instead of using the built in belongs_to functionality and displaying a dropdown of users, instead we want to search by the user's email address:
```ruby
module Effective
module Datatables
class Applicants < Effective::Datatable
datatable do
table_column :id, visible: true
table_column :user, :type => :string, :column => 'users.email' do |applicant|
link_to applicant.user.try(:email), edit_admin_user_path(applicant.user)
end
end
def collection
col = Applicant.joins(:user).includes(:user).references(:user)
end
end
end
end
```
## License
MIT License. Copyright [Code and Effect Inc.](http://www.codeandeffect.com/)
Code and Effect is the product arm of [AgileStyle](http://www.agilestyle.com/), an Edmonton-based shop that specializes in building custom web applications with Ruby on Rails.
## Testing
The test suite for this gem is unfortunately not yet complete.
Run tests by:
```ruby
rake spec
```
## Contributing
1. Fork it
2. Create your feature branch (`git checkout -b my-new-feature`)
3. Commit your changes (`git commit -am 'Add some feature'`)
4. Push to the branch (`git push origin my-new-feature`)
5. Bonus points for test coverage
6. Create new Pull Request
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