FreshBooks on Rack…on Heroku - Part Two
In Part One of this series, we constructed a “hello world” Rack app, so to speak. In this part, we’ll dive right into using the ruby-freshbooks gem and a little metaprogramming to keep things DRY.
Once again, for the entire source code, head to https://github.com/mikepack/freshbooks_on_rack.
Working with the ruby-freshbooks gem
ruby-freshbooks maps API calls in a somewhat object-oriented fashion. You can call #create, #update, #list, etc on a good number of API entities (like time_entry, client and staff). Check the FreshBooks API docs for a full list of available methods. Generally, the methods are called like the following:
connection = FreshBooks::Client.new('youraccount.freshbooks.com', 'yourfreshbooksapitoken')
connection.client.list
connection.staff.get :staff_id => 1
You can authenticate with your API token (as shown above) or OAuth. For instruction on authenticating with OAuth, check the ruby-freshbooks docs.
Now, lets take a look at the full Rack app that simply prints out all the projects for N number of accounts, and totals the number of hours along with the total income.
Again, FBOnRack#call
is invoked upon a request to our Rack app. This method is the heart and soul of our app.
fb_on_rack.rb
require 'ruby-freshbooks'
class FBOnRack
@cachable_entities = ['staff', 'task']
def initialize
@connections = [FreshBooks::Client.new('account1.freshbooks.com', 'apitoken1'),
FreshBooks::Client.new('account2.freshbooks.com', 'apitoken2')]
end
def call(env)
res = Rack::Response.new
res.write "<title>FreshBooks on Rack</title>"
@connections.each do |connection|
connection.project.list['projects']['project'].each do |project|
res.write "<h1>Project: #{project['name']}</h1>"
total_income = 0.0
total_hours = 0.0
connection.time_entry.list(:project_id => project['project_id'])['time_entries']['time_entry'].each do |entry|
rate = get_rate(connection, project, entry)
total_hours += entry['hours'].to_f
total_income += rate.to_f * entry['hours'].to_f
end
res.write "Total hours: #{total_hours}<br />"
res.write "Total income: #{total_income}<br />"
end
end
res.finish
end
private
@cachable_entities.each do |entity_name|
cache_var = instance_variable_set("@#{entity_name}_cache", {})
get_entity = lambda do |connection, entity_id|
if cache_var.has_key?(entity_id) # Check if the entity is already cached
cache_var[entity_id]
else
entity = connection.send(entity_name).get(("#{entity_name}_id").to_sym => entity_id)[entity_name] # Make the API call for whatever entity
cache_var[entity_id] = entity # Cache the API call
end
end
define_method(("get_#{entity_name}").to_sym, get_entity)
end
def get_rate(connection, project, entry)
case project['bill_method']
when 'project-rate'
project['rate']
when 'staff-rate'
get_staff(connection, entry['staff_id'])['rate']
when 'task-rate'
get_task(connection, entry['task_id'])['rate']
end
end
end
Lets break this down a little.
The first thing we should tackle is that strange loop at the start of the private definitions:
@cachable_entities.each do |entity_name|
cache_var = instance_variable_set("@#{entity_name}_cache", {})
get_entity = lambda do |connection, entity_id|
if cache_var.has_key?(entity_id) # Check if the entity is already cached
cache_var[entity_id]
else
entity = connection.send(entity_name).get(("#{entity_name}_id").to_sym => entity_id)[entity_name] # Make the API call for whatever entity
cache_var[entity_id] = entity # Cache the API call
end
end
define_method(("get_#{entity_name}").to_sym, get_entity)
end
The gist of this is to define a caching mechanism so we’re not slamming the FreshBooks API. If we fetch an entity by the entity’s ID, cache the result for that ID. Let’s break this chunk of code down once we’re inside the loop:
cache_var = instance_variable_set("@#{entity_name}_cache", {})
This does what you would expect: it defines an instance variable. @cachable_entities
contains two entities we want to cache, staff and task. So in the end we have two class instance variables which act as in-memory cache: @staff_cache = {}
and @task_cache = {}
.
get_entity = lambda do |connection, entity_id|
if cache_var.has_key?(entity_id) # Check if the entity is already cached
cache_var[entity_id]
else
entity = connection.send(entity_name).get(("#{entity_name}_id").to_sym => entity_id)[entity_name] # Make the API call for whatever entity
cache_var[entity_id] = entity # Cache the API call
end
end
Here we define a closure which will fetch our result either from the cache or make a call to the API. After retrieving our entity from the API, we cache it.
define_method(("get_#{entity_name}").to_sym, get_entity)
Here we define our methods (#get_staff(connection, staff_id)
and #get_task(connection, task_id)
) as private instance methods. The get_entity
parameter here is our lambda closure we defined above.
#get_staff
and #get_task
are called within our #get_rate
method (but could be used elsewhere). #get_rate
returns the rate which should be used for a given time entry. Rates can be project-based, staff-based or task-based. We need to find the appropriate rate based on the project['bill_method']
.
Modify this code to your needs, restart your Rack server, visit http://localhost:9292/
and you should see all your projects, the total time spent on each and the total income from each.
If you’ve made it this far, give yourself a pat on the rear because this part in the series is definitely the hardest. Let me know if you have any issues understanding the FBOnRack class above. In Part Three of this series, we’ll finish off by deploying to Heroku and baking a cake.
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