Rack provides a minimal, modular and adaptable interface for developing web applications in Ruby. By wrapping HTTP requests and responses in the simplest way possible, it unifies and distills the API for web servers, web frameworks, and software in between (the so-called middleware) into a single method call.
A Ruby framework for rapid API development with great conventions.
This is the simple REST client for Google Play Android Developer API V3. Simple REST clients are Ruby client libraries that provide access to Google services via their HTTP REST API endpoints. These libraries are generated and updated automatically based on the discovery documents published by the service, and they handle most concerns such as authentication, pagination, retry, timeouts, and logging. You can use this client to access the Google Play Android Developer API, but note that some services may provide a separate modern client that is easier to use.
Extracted from Grape, A Ruby framework for rapid API development with great conventions.
This gem allows Ruby developers to programmatically access the admin section of Shopify stores.
Cloud Vision API allows developers to easily integrate vision detection features within applications, including image labeling, face and landmark detection, optical character recognition (OCR), and tagging of explicit content.
Logify is an incredibly light-weight Ruby logger with a developer-friendly API and no dependencies. It is intentionally very opinionated and is optimized for speed. This combination makes it perfect for command line applications.
Google Speech-to-Text enables developers to convert audio to text by applying powerful neural network models in an easy-to-use API. The API recognizes more than 120 languages and variants to support your global user base. You can enable voice command-and-control, transcribe audio from call centers, and more. It can process real-time streaming or prerecorded audio, using Google's machine learning technology.
Via the Fastly API you can perform any of the operations that are possible within the management console, including creating services, domains, and backends, configuring rules or uploading your own application code, as well as account operations such as user administration and billing reports. The API is organized into collections of endpoints that allow manipulation of objects related to Fastly services and accounts. For the most accurate and up-to-date API reference content, visit our [Developer Hub](https://www.fastly.com/documentation/reference/api/)
This is the MySQL API module for Ruby. It provides the same functions for Ruby programs that the MySQL C API provides for C programs. This package is offered as gem for easy installation using RubyGems. It wraps unmodified tmtm's mysql-ruby extension into a proper gem. Please note that tmtm (Tomita Mashahiro) has deprecated development of this extension and only update it for bug fixes.
Cloud Vision API allows developers to easily integrate vision detection features within applications, including image labeling, face and landmark detection, optical character recognition (OCR), and tagging of explicit content. Note that google-cloud-vision-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-vision instead. See the readme for more details.
Cloud Vision API allows developers to easily integrate vision detection features within applications, including image labeling, face and landmark detection, optical character recognition (OCR), and tagging of explicit content. Note that google-cloud-vision-v1p3beta1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-vision instead. See the readme for more details.
It provides the interface to some LDAP libraries (e.g. OpenLDAP, Netscape SDK and Active Directory). The common API for application development is described in RFC1823 and is supported by Ruby/LDAP.
Pliny is a set of base classes and helpers to help developers write excellent APIs in Sinatra
The Authorize.Net Ruby SDK is meant to offer an alternate object-oriented model of development with the Authorize.net APIs (Version 3.1). The SDK is based entirely off the name-value pair API, but performs the core payment activities (such as error handling/parsing, network communication, and data encoding) behind the scenes. Providing the end developer with this allows the developer to start integrating immediately without having to write out a mass of boiler plate code.
Google Speech-to-Text enables developers to convert audio to text by applying powerful neural network models in an easy-to-use API. The API recognizes more than 120 languages and variants to support your global user base. You can enable voice command-and-control, transcribe audio from call centers, and more. It can process real-time streaming or prerecorded audio, using Google's machine learning technology. Note that google-cloud-speech-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-speech instead. See the readme for more details.
Google Speech-to-Text enables developers to convert audio to text by applying powerful neural network models in an easy-to-use API. The API recognizes more than 120 languages and variants to support your global user base. You can enable voice command-and-control, transcribe audio from call centers, and more. It can process real-time streaming or prerecorded audio, using Google's machine learning technology. Note that google-cloud-speech-v1p1beta1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-speech instead. See the readme for more details.
A simple implementation of Windows Azure Storage API for Ruby, inspired by the S3 gems and self experience of dealing with queues. The major goal of the whole gem is to enable ruby developers [like me =)] to leverage Windows Azure Storage features and have another option for cloud storage.
Ruboto (JRuby on Android) is a platform for developing full stand-alone apps for Android using the Ruby language and libraries. It includes support libraries and generators for creating projects, classes, tests, and more. The complete APIs of Android, Java, and Ruby are available to you using the Ruby language.
Ruby library for the Xero accounting API. Originally developed by Wayne Robinson, now maintained by the Xero API Team & Xero/Ruby developer community.
Apache PredictionIO is an open source machine learning server for developers and data scientists to create predictive engines for production environments. This gem provides convenient access to the Apache PredictionIO API for Ruby programmers so that you can focus on application logic.
Kensa is a command-line tool to help add-on providers integrating their services with Heroku. It manages manifest files, and provides a TDD-like approach for programmers to test and develop their APIs.
A lightweight Facebook Graph API client We have moved the development from rest-graph to [rest-core][]. By now on, we would only fix bugs in rest-graph rather than adding features, and we would only backport important changes from rest-core once in a period. If you want the latest goodies, please see [rest-core][] Otherwise, you can stay with rest-graph with bugs fixes. [rest-core]: https://github.com/cardinalblue/rest-core
Ruby wrapper for the Angellist API. The AngelList API provides developers with a RESTful interface to the AngelList data set. Some endpoints are public and require no authentication.
A cross-platform Pact verification tool to validate API Providers. Used in the pact-js-provider project to simplify development
Powerful, flexible, lightweight, thread-safe interface to the BitPay developers API
glues together various audio ruby libraries and presents a unified API to the developer Currently, supported formats are: mp3, ogg, mpc, ape, wma, flac, aac, mp4, m4a.
[Deprecated] It is recommended to use paypal-server-sdk instead. The PayPal Permission SDK provides Ruby APIs for developers to request and obtain permissions from merchants and consumers, to execute APIs on behalf of them. The permissions include variety of operations from processing payments to accessing account transaction history
Still in development. Simple client for Telegram's Bot API
Wrapper for Yelp Developer API
Access the Nuntium API in ruby. Nuntium is an open source and free platform -developed by InSTEDD- that allows applications to send and receive all type of messages. Examples of messages are sms, emails and twitter direct messages.
Powerful, flexible, lightweight, thread-safe interface to the BitPay developers API
Sym is a ruby library (gem) that offers both the command line interface (CLI) and a set of rich Ruby APIs, which make it rather trivial to add encryption and decryption of sensitive data to your development or deployment workflow. For additional security the private key itself can be encrypted with a user-generated password. For decryption using the key the password can be input into STDIN, or be defined by an ENV variable, or an OS-X Keychain Entry. Unlike many other existing encryption tools, Sym focuses on getting out of your way by offering a streamlined interface with password caching (if MemCached is installed and running locally) in hopes to make encryption of application secrets nearly completely transparent to the developers. Sym uses symmetric 256-bit key encryption with the AES-256-CBC cipher, same cipher as used by the US Government. For password-protecting the key Sym uses AES-128-CBC cipher. The resulting data is zlib-compressed and base64-encoded. The keys are also base64 encoded for easy copying/pasting/etc. Sym accomplishes encryption transparency by combining several convenient features: 1. Sym can read the private key from multiple source types, such as pathname, an environment variable name, a keychain entry, or CLI argument. You simply pass either of these to the -k flag — one flag that works for all source types. 2. By utilizing OS-X Keychain on a Mac, Sym offers truly secure way of storing the key on a local machine, much more secure then storing it on a file system, 3. By using a local password cache (activated with -c) via an in-memory provider such as memcached, sym invocations take advantage of password cache, and only ask for a password once per a configurable time period, 4. By using SYM_ARGS environment variable, where common flags can be saved. This is activated with sym -A, 5. By reading the key from the default key source file ~/.sym.key which requires no flags at all, 6. By utilizing the --negate option to quickly encrypt a regular file, or decrypt an encrypted file with extension .enc 7. By implementing the -t (edit) mode, that opens an encrypted file in your $EDITOR, and replaces the encrypted version upon save & exit, optionally creating a backup. 8. By offering the Sym::MagicFile ruby API to easily read encrypted files into memory. Please refer the module documentation available here: https://www.rubydoc.info/gems/sym
This gem allows developers to use the services available in the MercadoPago API (http://www.mercadopago.com)
js_from_routes helps you by automatically generating path and API helpers from Rails route definitions, allowing you to save development effort and focus on the things that matter.
Provides rake tasks to ease the development and debugging of Grape APIs.
An Ruby interface for Echo Nest Developer API
Inventory Inventory keeps track of the contents of your Ruby¹ projects. Such an inventory can be used to load the project, create gem specifications and gems, run unit tests, compile extensions, and verify that the project’s content is what you think it is. ¹ See http://ruby-lang.org/ § Usage Let’s begin by discussing the project structure that Inventory expects you to use. It’s pretty much exactly the same as the standard Ruby project structure¹: ├── README ├── Rakefile ├── lib │ ├── foo-1.0 │ │ ├── bar.rb │ │ └── version.rb │ └── foo-1.0.rb └── test └── unit ├── foo-1.0 │ ├── bar.rb │ └── version.rb └── foo-1.0.rb Here you see a simplified version of a project called “Foo”’s project structure. The only real difference from the standard is that the main entry point into the library is named “foo-1.0.rb” instead of “foo.rb” and that the root sub-directory of “lib” is similarly named “foo-1.0” instead of “foo”. The difference is the inclusion of the API version. This must be the major version of the project followed by a constant “.0”. The reason for this is that it allows concurrent installations of different major versions of the project and means that the wrong version will never accidentally be loaded with require. There’s a bigger difference in the content of the files. ‹Lib/foo-1.0/version.rb› will contain our inventory instead of a String: require 'inventory-1.0' class Foo Version = Foo.new(1, 4, 0){ authors{ author 'A. U. Thor', 'a.u.thor@example.org' } homepage 'http://example.org/' licenses{ license 'LGPLv3+', 'GNU Lesser General Public License, version 3 or later', 'http://www.gnu.org/licenses/' } def dependencies super + Dependencies.new{ development 'baz', 1, 3, 0 runtime 'goo', 2, 0, 0 optional 'roo-loo', 3, 0, 0, :feature => 'roo-loo' } end def package_libs %w[bar.rb] end } end We’re introducing quite a few concepts at once, and we’ll look into each in greater detail, but we begin by setting the ‹Version› constant to a new instance of an Inventory with major, minor, and patch version atoms 1, 4, and 0. Then we add a couple of dependencies and list the library files that are included in this project. The version numbers shouldn’t come as a surprise. These track the version of the API that we’re shipping using {semantic versioning}². They also allow the Inventory#to_s method to act as if you’d defined Version as ‹'1.4.0'›. Next follows information about the authors of the project, the project’s homepage, and the project’s licenses. Each author has a name and an email address. The homepage is simply a string URL. Licenses have an abbreviation, a name, and a URL where the license text can be found. We then extend the definition of ‹dependencies› by adding another set of dependencies to ‹super›. ‹Super› includes a dependency on the version of the inventory project that’s being used with this project, so you’ll never have to list that yourself. The other three dependencies are all of different kinds: development, runtime, and optional. A development dependency is one that’s required while developing the project, for example, a unit-testing framework, a documentation generator, and so on. Runtime dependencies are requirements of the project to be able to run, both during development and when installed. Finally, optional dependencies are runtime dependencies that may or may not be required during execution. The difference between runtime and optional is that the inventory won’t try to automatically load an optional dependency, instead leaving that up to you to do when and if it becomes necessary. By that logic, runtime dependencies will be automatically loaded, which is a good reason for having dependency information available at runtime. The version numbers of dependencies also use semantic versioning, but note that the patch atom is ignored unless the major atom is 0. You should always only depend on the major and minor atoms. As mentioned, runtime dependencies will be automatically loaded and the feature they try to load is based on the name of the dependency with a “-X.0” tacked on the end, where ‘X’ is the major version of the dependency. Sometimes, this isn’t correct, in which case the :feature option may be given to specify the name of the feature. You may also override other parts of a dependency by passing in a block to the dependency, much like we’re doing for inventories. The rest of an inventory will list the various files included in the project. This project only consists of one additional file to those that an inventory automatically include (Rakefile, README, the main entry point, and the version.rb file that defines the inventory itself), namely the library file ‹bar.rb›. Library files will be loaded automatically when the main entry point file loads the inventory. Library files that shouldn’t be loaded may be listed under a different heading, namely “additional_libs”. Both these sets of files will be used to generate a list of unit test files automatically, so each library file will have a corresponding unit test file in the inventory. We’ll discuss the different headings of an inventory in more detail later on. Now that we’ve written our inventory, let’s set it up so that it’s content gets loaded when our main entry point gets loaded. We add the following piece of code to ‹lib/foo-1.0.rb›: module Foo load File.expand_path('../foo-1.0/version.rb', __FILE__) Version.load end That’s all there’s to it. The inventory can also be used to great effect from a Rakefile using a separate project called Inventory-Rake³. Using it’ll give us tasks for cleaning up our project, compiling extensions, installing dependencies, installing and uninstalling the project itself, and creating and pushing distribution files to distribution points. require 'inventory-rake-1.0' load File.expand_path('../lib/foo-1.0/version.rb', __FILE__) Inventory::Rake::Tasks.define Foo::Version Inventory::Rake::Tasks.unless_installing_dependencies do require 'lookout-rake-3.0' Lookout::Rake::Tasks::Test.new end It’s ‹Inventory::Rake::Tasks.define› that does the heavy lifting. It takes our inventory and sets up the tasks mentioned above. As we want to be able to use our Rakefile to install our dependencies for us, the rest of the Rakefile is inside the conditional #unless_installing_dependencies, which, as the name certainly implies, executes its block unless the task being run is the one that installs our dependencies. This becomes relevant when we set up Travis⁴ integration next. The only conditional set-up we do in our Rakefile is creating our test task via Lookout-Rake⁵, which also uses our inventory to find the unit tests to run when executed. Travis integration is straightforward. Simply put before_script: - gem install inventory-rake -v '~> VERSION' --no-rdoc --no-ri - rake gem:deps:install in the project’s ‹.travis.yml› file, replacing ‹VERSION› with the version of Inventory-Rake that you require. This’ll make sure that Travis installs all development, runtime, and optional dependencies that you’ve listed in your inventory before running any tests. You might also need to put env: - RUBYOPT=rubygems in your ‹.travis.yml› file, depending on how things are set up. ¹ Ruby project structure: http://guides.rubygems.org/make-your-own-gem/ ² Semantic versioning: http://semver.org/ ³ Inventory-Rake: http://disu.se/software/inventory-rake-1.0/ ⁴ Travis: http://travis-ci.org/ ⁵ Lookout-Rake: http://disu.se/software/lookout-rake-3.0/ § API If the guide above doesn’t provide you with all the answers you seek, you may refer to the API¹ for more answers. ¹ See http://disu.se/software/inventory-1.0/api/Inventory/ § Financing Currently, most of my time is spent at my day job and in my rather busy private life. Please motivate me to spend time on this piece of software by donating some of your money to this project. Yeah, I realize that requesting money to develop software is a bit, well, capitalistic of me. But please realize that I live in a capitalistic society and I need money to have other people give me the things that I need to continue living under the rules of said society. So, if you feel that this piece of software has helped you out enough to warrant a reward, please PayPal a donation to now@disu.se¹. Thanks! Your support won’t go unnoticed! ¹ Send a donation: https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=now@disu.se&item_name=Inventory § Reporting Bugs Please report any bugs that you encounter to the {issue tracker}¹. ¹ See https://github.com/now/inventory/issues § Authors Nikolai Weibull wrote the code, the tests, the documentation, and this README. § Licensing Inventory is free software: you may redistribute it and/or modify it under the terms of the {GNU Lesser General Public License, version 3}¹ or later², as published by the {Free Software Foundation}³. ¹ See http://disu.se/licenses/lgpl-3.0/ ² See http://gnu.org/licenses/ ³ See http://fsf.org/
Sinja is a Sinatra extension for quickly building RESTful, {json:api}-compliant web services, leveraging the excellent JSONAPI::Serializers gem for payload serialization. It enhances Sinatra's DSL to enable resource-, relationship-, and role-centric API development, and it configures Sinatra with the proper settings, MIME-types, filters, conditions, and error-handling. There are many parsing (deserializing), rendering (serializing), and other "JSON API" libraries available for Ruby, but relatively few that attempt to correctly implement the entire {json:api} server specification, including routing, request header and query parameter checking, and relationship side-loading. Sinja lets you focus on the business logic of your applications without worrying about the specification, and without pulling in a heavy framework like Rails. It's lightweight, ORM-agnostic, and Ember.js-friendly!
Modeling, developing and testing your Golang app with your familiar Rails tools like rails generate, db migration, console etc. It is more meant to help integrating some APIs written in Golang to existed Rails app for high performance.
This is a ruby wrapper of Net::Patricia, which has been developed by Dave Plonka. The original Net::Patricia and its C API are available from: http://net.doit.wisc.edu/~plonka/Net-Patricia/ Net::Patricia is a module for fast IP address/prefix lookups. I have modified some interfaces for the Ruby wrapper version.
Powerful, flexible, lightweight, thread-safe interface to the BitPay developers API
# Introduction Rglpk is a package providing a Ruby wrapper to the [GNU GLPK](http://www.gnu.org/software/glpk/) library. The GLPK (GNU Linear Programming Kit) package is intended for solving large-scale linear programming (LP), mixed integer programming (MIP), and other related problems. Rglpk (pronounced as "wriggle-pick") is currently in alpha status and the API should be considered subject to change. Rglpk uses [Swig](http://www.swig.org/) to initially wrap the C GLPK library (using a Swig wrapper originally developed by Nigel Galloway) and then a pure Ruby library to wrap the Swig code in a more friendly OO-style.
Appwrite is an open-source self-hosted backend server that abstract and simplify complex and repetitive development tasks behind a very simple REST API
An easy-to-use Dropbox client with fine-grained control over syncs. Think of it as halfway point between the developer API and a normal client, which gives you control over what and when Dropbox syncs but handles all the details.
This is a Ruby API and client for http://toodledo.com, a task management website. It implements all of the calls from Toodledo's developer API, and provides a nice wrapper around the functionality. The client allows you to work with Toodledo from the command line. It will work in either interactive or command line mode. You can also use the client in your shell scripts, or use the API directly as part of a web application. Custom private RSS feed? Want to have the Mac read out your top priority? Input tasks through Quicksilver? Print out tasks with a BetaBrite? It can all happen.
Lookout Lookout is a unit testing framework for Ruby¹ that puts your results in focus. Tests (expectations) are written as follows expect 2 do 1 + 1 end expect ArgumentError do Integer('1 + 1') end expect Array do [1, 2, 3].select{ |i| i % 2 == 0 } end expect [2, 4, 6] do [1, 2, 3].map{ |i| i * 2 } end Lookout is designed to encourage – force, even – unit testing best practices such as • Setting up only one expectation per test • Not setting expectations on non-public APIs • Test isolation This is done by • Only allowing one expectation to be set per test • Providing no (additional) way of accessing private state • Providing no setup and tear-down methods, nor a method of providing test helpers Other important points are • Putting the expected outcome of a test in focus with the steps of the calculation of the actual result only as a secondary concern • A focus on code readability by providing no mechanism for describing an expectation other than the code in the expectation itself • A unified syntax for setting up both state-based and behavior-based expectations The way Lookout works has been heavily influenced by expectations², by {Jay Fields}³. The code base was once also heavily based on expectations, based at Subversion {revision 76}⁴. A lot has happened since then and all of the work past that revision are due to {Nikolai Weibull}⁵. ¹ Ruby: http://ruby-lang.org/ ² Expectations: http://expectations.rubyforge.org/ ³ Jay Fields’s blog: http://blog.jayfields.com/ ⁴ Lookout revision 76: https://github.com/now/lookout/commit/537bedf3e5b3eb4b31c066b3266f42964ac35ebe ⁵ Nikolai Weibull’s home page: http://disu.se/ § Installation Install Lookout with % gem install lookout § Usage Lookout allows you to set expectations on an object’s state or behavior. We’ll begin by looking at state expectations and then take a look at expectations on behavior. § Expectations on State: Literals An expectation can be made on the result of a computation: expect 2 do 1 + 1 end Most objects, in fact, have their state expectations checked by invoking ‹#==› on the expected value with the result as its argument. Checking that a result is within a given range is also simple: expect 0.099..0.101 do 0.4 - 0.3 end Here, the more general ‹#===› is being used on the ‹Range›. § Regexps ‹Strings› of course match against ‹Strings›: expect 'ab' do 'abc'[0..1] end but we can also match a ‹String› against a ‹Regexp›: expect %r{a substring} do 'a string with a substring' end (Note the use of ‹%r{…}› to avoid warnings that will be generated when Ruby parses ‹expect /…/›.) § Modules Checking that the result includes a certain module is done by expecting the ‹Module›. expect Enumerable do [] end This, due to the nature of Ruby, of course also works for classes (as they are also modules): expect String do 'a string' end This doesn’t hinder us from expecting the actual ‹Module› itself: expect Enumerable do Enumerable end or the ‹Class›: expect String do String end for obvious reasons. As you may have figured out yourself, this is accomplished by first trying ‹#==› and, if it returns ‹false›, then trying ‹#===› on the expected ‹Module›. This is also true of ‹Ranges› and ‹Regexps›. § Booleans Truthfulness is expected with ‹true› and ‹false›: expect true do 1 end expect false do nil end Results equaling ‹true› or ‹false› are slightly different: expect TrueClass do true end expect FalseClass do false end The rationale for this is that you should only care if the result of a computation evaluates to a value that Ruby considers to be either true or false, not the exact literals ‹true› or ‹false›. § IO Expecting output on an IO object is also common: expect output("abc\ndef\n") do |io| io.puts 'abc', 'def' end This can be used to capture the output of a formatter that takes an output object as a parameter. § Warnings Expecting warnings from code isn’t very common, but should be done: expect warning('this is your final one!') do warn 'this is your final one!' end expect warning('this is your final one!') do warn '%s:%d: warning: this is your final one!' % [__FILE__, __LINE__] end ‹$VERBOSE› is set to ‹true› during the execution of the block, so you don’t need to do so yourself. If you have other code that depends on the value of $VERBOSE, that can be done with ‹#with_verbose› expect nil do with_verbose nil do $VERBOSE end end § Errors You should always be expecting errors from – and in, but that’s a different story – your code: expect ArgumentError do Integer('1 + 1') end Often, not only the type of the error, but its description, is important to check: expect StandardError.new('message') do raise StandardError.new('message') end As with ‹Strings›, ‹Regexps› can be used to check the error description: expect StandardError.new(/mess/) do raise StandardError.new('message') end § Queries Through Symbols Symbols are generally matched against symbols, but as a special case, symbols ending with ‹?› are seen as expectations on the result of query methods on the result of the block, given that the method is of zero arity and that the result isn’t a Symbol itself. Simply expect a symbol ending with ‹?›: expect :empty? do [] end To expect it’s negation, expect the same symbol beginning with ‹not_›: expect :not_nil? do [1, 2, 3] end This is the same as expect true do [].empty? end and expect false do [1, 2, 3].empty? end but provides much clearer failure messages. It also makes the expectation’s intent a lot clearer. § Queries By Proxy There’s also a way to make the expectations of query methods explicit by invoking methods on the result of the block. For example, to check that the even elements of the Array ‹[1, 2, 3]› include ‹1› you could write expect result.to.include? 1 do [1, 2, 3].reject{ |e| e.even? } end You could likewise check that the result doesn’t include 2: expect result.not.to.include? 2 do [1, 2, 3].reject{ |e| e.even? } end This is the same as (and executes a little bit slower than) writing expect false do [1, 2, 3].reject{ |e| e.even? }.include? 2 end but provides much clearer failure messages. Given that these two last examples would fail, you’d get a message saying “[1, 2, 3]#include?(2)” instead of the terser “true≠false”. It also clearly separates the actual expectation from the set-up. The keyword for this kind of expectations is ‹result›. This may be followed by any of the methods • ‹#not› • ‹#to› • ‹#be› • ‹#have› or any other method you will want to call on the result. The methods ‹#to›, ‹#be›, and ‹#have› do nothing except improve readability. The ‹#not› method inverts the expectation. § Literal Literals If you need to literally check against any of the types of objects otherwise treated specially, that is, any instances of • ‹Module› • ‹Range› • ‹Regexp› • ‹Exception› • ‹Symbol›, given that it ends with ‹?› you can do so by wrapping it in ‹literal(…)›: expect literal(:empty?) do :empty? end You almost never need to do this, as, for all but symbols, instances will match accordingly as well. § Expectations on Behavior We expect our objects to be on their best behavior. Lookout allows you to make sure that they are. Reception expectations let us verify that a method is called in the way that we expect it to be: expect mock.to.receive.to_str(without_arguments){ '123' } do |o| o.to_str end Here, ‹#mock› creates a mock object, an object that doesn’t respond to anything unless you tell it to. We tell it to expect to receive a call to ‹#to_str› without arguments and have ‹#to_str› return ‹'123'› when called. The mock object is then passed in to the block so that the expectations placed upon it can be fulfilled. Sometimes we only want to make sure that a method is called in the way that we expect it to be, but we don’t care if any other methods are called on the object. A stub object, created with ‹#stub›, expects any method and returns a stub object that, again, expects any method, and thus fits the bill. expect stub.to.receive.to_str(without_arguments){ '123' } do |o| o.to_str if o.convertable? end You don’t have to use a mock object to verify that a method is called: expect Object.to.receive.name do Object.name end As you have figured out by now, the expected method call is set up by calling ‹#receive› after ‹#to›. ‹#Receive› is followed by a call to the method to expect with any expected arguments. The body of the expected method can be given as the block to the method. Finally, an expected invocation count may follow the method. Let’s look at this formal specification in more detail. The expected method arguments may be given in a variety of ways. Let’s introduce them by giving some examples: expect mock.to.receive.a do |m| m.a end Here, the method ‹#a› must be called with any number of arguments. It may be called any number of times, but it must be called at least once. If a method must receive exactly one argument, you can use ‹Object›, as the same matching rules apply for arguments as they do for state expectations: expect mock.to.receive.a(Object) do |m| m.a 0 end If a method must receive a specific argument, you can use that argument: expect mock.to.receive.a(1..2) do |m| m.a 1 end Again, the same matching rules apply for arguments as they do for state expectations, so the previous example expects a call to ‹#a› with 1, 2, or the Range 1..2 as an argument on ‹m›. If a method must be invoked without any arguments you can use ‹without_arguments›: expect mock.to.receive.a(without_arguments) do |m| m.a end You can of course use both ‹Object› and actual arguments: expect mock.to.receive.a(Object, 2, Object) do |m| m.a nil, 2, '3' end The body of the expected method may be given as the block. Here, calling ‹#a› on ‹m› will give the result ‹1›: expect mock.to.receive.a{ 1 } do |m| raise 'not 1' unless m.a == 1 end If no body has been given, the result will be a stub object. To take a block, grab a block parameter and ‹#call› it: expect mock.to.receive.a{ |&b| b.call(1) } do |m| j = 0 m.a{ |i| j = i } raise 'not 1' unless j == 1 end To simulate an ‹#each›-like method, ‹#call› the block several times. Invocation count expectations can be set if the default expectation of “at least once” isn’t good enough. The following expectations are possible • ‹#at_most_once› • ‹#once› • ‹#at_least_once› • ‹#twice› And, for a given ‹N›, • ‹#at_most(N)› • ‹#exactly(N)› • ‹#at_least(N)› § Utilities: Stubs Method stubs are another useful thing to have in a unit testing framework. Sometimes you need to override a method that does something a test shouldn’t do, like access and alter bank accounts. We can override – stub out – a method by using the ‹#stub› method. Let’s assume that we have an ‹Account› class that has two methods, ‹#slips› and ‹#total›. ‹#Slips› retrieves the bank slips that keep track of your deposits to the ‹Account› from a database. ‹#Total› sums the ‹#slips›. In the following test we want to make sure that ‹#total› does what it should do without accessing the database. We therefore stub out ‹#slips› and make it return something that we can easily control. expect 6 do |m| stub(Class.new{ def slips raise 'database not available' end def total slips.reduce(0){ |m, n| m.to_i + n.to_i } end }.new, :slips => [1, 2, 3]){ |account| account.total } end To make it easy to create objects with a set of stubbed methods there’s also a convenience method: expect 3 do s = stub(:a => 1, :b => 2) s.a + s.b end This short-hand notation can also be used for the expected value: expect stub(:a => 1, :b => 2).to.receive.a do |o| o.a + o.b end and also works for mock objects: expect mock(:a => 2, :b => 2).to.receive.a do |o| o.a + o.b end Blocks are also allowed when defining stub methods: expect 3 do s = stub(:a => proc{ |a, b| a + b }) s.a(1, 2) end If need be, we can stub out a specific method on an object: expect 'def' do stub('abc', :to_str => 'def'){ |a| a.to_str } end The stub is active during the execution of the block. § Overriding Constants Sometimes you need to override the value of a constant during the execution of some code. Use ‹#with_const› to do just that: expect 'hello' do with_const 'A::B::C', 'hello' do A::B::C end end Here, the constant ‹A::B::C› is set to ‹'hello'› during the execution of the block. None of the constants ‹A›, ‹B›, and ‹C› need to exist for this to work. If a constant doesn’t exist it’s created and set to a new, empty, ‹Module›. The value of ‹A::B::C›, if any, is restored after the block returns and any constants that didn’t previously exist are removed. § Overriding Environment Variables Another thing you often need to control in your tests is the value of environment variables. Depending on such global values is, of course, not a good practice, but is often unavoidable when working with external libraries. ‹#With_env› allows you to override the value of environment variables during the execution of a block by giving it a ‹Hash› of key/value pairs where the key is the name of the environment variable and the value is the value that it should have during the execution of that block: expect 'hello' do with_env 'INTRO' => 'hello' do ENV['INTRO'] end end Any overridden values are restored and any keys that weren’t previously a part of the environment are removed when the block returns. § Overriding Globals You may also want to override the value of a global temporarily: expect 'hello' do with_global :$stdout, StringIO.new do print 'hello' $stdout.string end end You thus provide the name of the global and a value that it should take during the execution of a block of code. The block gets passed the overridden value, should you need it: expect true do with_global :$stdout, StringIO.new do |overridden| $stdout != overridden end end § Integration Lookout can be used from Rake¹. Simply install Lookout-Rake²: % gem install lookout-rake and add the following code to your Rakefile require 'lookout-rake-3.0' Lookout::Rake::Tasks::Test.new Make sure to read up on using Lookout-Rake for further benefits and customization. ¹ Read more about Rake at http://rake.rubyforge.org/ ² Get information on Lookout-Rake at http://disu.se/software/lookout-rake/ § API Lookout comes with an API¹ that let’s you create things such as new expected values, difference reports for your types, and so on. ¹ See http://disu.se/software/lookout/api/ § Interface Design The default output of Lookout can Spartanly be described as Spartan. If no errors or failures occur, no output is generated. This is unconventional, as unit testing frameworks tend to dump a lot of information on the user, concerning things such as progress, test count summaries, and flamboyantly colored text telling you that your tests passed. None of this output is needed. Your tests should run fast enough to not require progress reports. The lack of output provides you with the same amount of information as reporting success. Test count summaries are only useful if you’re worried that your tests aren’t being run, but if you worry about that, then providing such output doesn’t really help. Testing your tests requires something beyond reporting some arbitrary count that you would have to verify by hand anyway. When errors or failures do occur, however, the relevant information is output in a format that can easily be parsed by an ‹'errorformat'› for Vim or with {Compilation Mode}¹ for Emacs². Diffs are generated for Strings, Arrays, Hashes, and I/O. ¹ Read up on Compilation mode for Emacs at http://www.emacswiki.org/emacs/CompilationMode ² Visit The GNU Foundation’s Emacs’ software page at http://www.gnu.org/software/emacs/ § External Design Let’s now look at some of the points made in the introduction in greater detail. Lookout only allows you to set one expectation per test. If you’re testing behavior with a reception expectation, then only one method-invocation expectation can be set. If you’re testing state, then only one result can be verified. It may seem like this would cause unnecessary duplication between tests. While this is certainly a possibility, when you actually begin to try to avoid such duplication you find that you often do so by improving your interfaces. This kind of restriction tends to encourage the use of value objects, which are easy to test, and more focused objects, which require simpler tests, as they have less behavior to test, per method. By keeping your interfaces focused you’re also keeping your tests focused. Keeping your tests focused improves, in itself, test isolation, but let’s look at something that hinders it: setup and tear-down methods. Most unit testing frameworks encourage test fragmentation by providing setup and tear-down methods. Setup methods create objects and, perhaps, just their behavior for a set of tests. This means that you have to look in two places to figure out what’s being done in a test. This may work fine for few methods with simple set-ups, but makes things complicated when the number of tests increases and the set-up is complex. Often, each test further adjusts the previously set-up object before performing any verifications, further complicating the process of figuring out what state an object has in a given test. Tear-down methods clean up after tests, perhaps by removing records from a database or deleting files from the file-system. The duplication that setup methods and tear-down methods hope to remove is better avoided by improving your interfaces. This can be done by providing better set-up methods for your objects and using idioms such as {Resource Acquisition Is Initialization}¹ for guaranteed clean-up, test or no test. By not using setup and tear-down methods we keep everything pertinent to a test in the test itself, thus improving test isolation. (You also won’t {slow down your tests}² by keeping unnecessary state.) Most unit test frameworks also allow you to create arbitrary test helper methods. Lookout doesn’t. The same rationale as that that has been crystallized in the preceding paragraphs applies. If you need helpers you’re interface isn’t good enough. It really is as simple as that. To clarify: there’s nothing inherently wrong with test helper methods, but they should be general enough that they reside in their own library. The support for mocks in Lookout is provided through a set of test helper methods that make it easier to create mocks than it would have been without them. Lookout-rack³ is another example of a library providing test helper methods (well, one method, actually) that are very useful in testing web applications that use Rack⁴. A final point at which some unit test frameworks try to fragment tests further is documentation. These frameworks provide ways of describing the whats and hows of what’s being tested, the rationale being that this will provide documentation of both the test and the code being tested. Describing how a stack data structure is meant to work is a common example. A stack is, however, a rather simple data structure, so such a description provides little, if any, additional information that can’t be extracted from the implementation and its tests themselves. The implementation and its tests is, in fact, its own best documentation. Taking the points made in the previous paragraphs into account, we should already have simple, self-describing, interfaces that have easily understood tests associated with them. Rationales for the use of a given data structure or system-design design documentation is better suited in separate documentation focused at describing exactly those issues. ¹ Read the Wikipedia entry for Resource Acquisition Is Initialization at http://en.wikipedia.org/wiki/Resource_Acquisition_Is_Initialization ² Read how 37signals had problems with slow Test::Unit tests at http://37signals.com/svn/posts/2742-the-road-to-faster-tests/ ³ Visit the Lookout-rack home page at http://disu.se/software/lookout-rack/ ⁴ Visit the Rack Rubyforge project page at http://rack.rubyforge.org/ § Internal Design The internal design of Lookout has had a couple of goals. • As few external dependencies as possible • As few internal dependencies as possible • Internal extensibility provides external extensibility • As fast load times as possible • As high a ratio of value objects to mutable objects as possible • Each object must have a simple, obvious name • Use mix-ins, not inheritance for shared behavior • As few responsibilities per object as possible • Optimizing for speed can only be done when you have all the facts § External Dependencies Lookout used to depend on Mocha for mocks and stubs. While benchmarking I noticed that a method in Mocha was taking up more than 300 percent of the runtime. It turned out that Mocha’s method for cleaning up back-traces generated when a mock failed was doing something incredibly stupid: backtrace.reject{ |l| Regexp.new(@lib).match(File.expand_path(l)) } Here ‹@lib› is a ‹String› containing the path to the lib sub-directory in the Mocha installation directory. I reported it, provided a patch five days later, then waited. Nothing happened. {254 days later}¹, according to {Wolfram Alpha}², half of my patch was, apparently – I say “apparently”, as I received no notification – applied. By that time I had replaced the whole mocking-and-stubbing subsystem and dropped the dependency. Many Ruby developers claim that Ruby and its gems are too fast-moving for normal package-managing systems to keep up. This is testament to the fact that this isn’t the case and that the real problem is instead related to sloppy practices. Please note that I don’t want to single out the Mocha library nor its developers. I only want to provide an example where relying on external dependencies can be “considered harmful”. ¹ See the Wolfram Alpha calculation at http://www.wolframalpha.com/input/?i=days+between+march+17%2C+2010+and+november+26%2C+2010 ² Check out the Wolfram Alpha computational knowledge engine at http://www.wolframalpha.com/ § Internal Dependencies Lookout has been designed so as to keep each subsystem independent of any other. The diff subsystem is, for example, completely decoupled from any other part of the system as a whole and could be moved into its own library at a time where that would be of interest to anyone. What’s perhaps more interesting is that the diff subsystem is itself very modular. The data passes through a set of filters that depends on what kind of diff has been requested, each filter yielding modified data as it receives it. If you want to read some rather functional Ruby I can highly recommend looking at the code in the ‹lib/lookout/diff› directory. This lookout on the design of the library also makes it easy to extend Lookout. Lookout-rack was, for example, written in about four hours and about 5 of those 240 minutes were spent on setting up the interface between the two. § Optimizing For Speed The following paragraph is perhaps a bit personal, but might be interesting nonetheless. I’ve always worried about speed. The original Expectations library used ‹extend› a lot to add new behavior to objects. Expectations, for example, used to hold the result of their execution (what we now term “evaluation”) by being extended by a module representing success, failure, or error. For the longest time I used this same method, worrying about the increased performance cost that creating new objects for results would incur. I finally came to a point where I felt that the code was so simple and clean that rewriting this part of the code for a benchmark wouldn’t take more than perhaps ten minutes. Well, ten minutes later I had my results and they confirmed that creating new objects wasn’t harming performance. I was very pleased. § Naming I hate low lines (underscores). I try to avoid them in method names and I always avoid them in file names. Since the current “best practice” in the Ruby community is to put ‹BeginEndStorage› in a file called ‹begin_end_storage.rb›, I only name constants using a single noun. This has had the added benefit that classes seem to have acquired less behavior, as using a single noun doesn’t allow you to tack on additional behavior without questioning if it’s really appropriate to do so, given the rather limited range of interpretation for that noun. It also seems to encourage the creation of value objects, as something named ‹Range› feels a lot more like a value than ‹BeginEndStorage›. (To reach object-oriented-programming Nirvana you must achieve complete value.) § News § 3.0.0 The ‹xml› expectation has been dropped. It wasn’t documented, didn’t suit very many use cases, and can be better implemented by an external library. The ‹arg› argument matcher for mock method arguments has been removed, as it didn’t provide any benefit over using Object. The ‹#yield› and ‹#each› methods on stub and mock methods have been removed. They were slightly weird and their use case can be implemented using block parameters instead. The ‹stub› method inside ‹expect› blocks now stubs out the methods during the execution of a provided block instead of during the execution of the whole except block. When a mock method is called too many times, this is reported immediately, with a full backtrace. This makes it easier to pin down what’s wrong with the code. Query expectations were added. Explicit query expectations were added. Fluent boolean expectations, for example, ‹expect nil.to.be.nil?› have been replaced by query expectations (‹expect :nil? do nil end›) and explicit query expectations (‹expect result.to.be.nil? do nil end›). This was done to discourage creating objects as the expected value and creating objects that change during the course of the test. The ‹literal› expectation was added. Equality (‹#==›) is now checked before “caseity” (‹#===›) for modules, ranges, and regular expressions to match the documentation. § Financing Currently, most of my time is spent at my day job and in my rather busy private life. Please motivate me to spend time on this piece of software by donating some of your money to this project. Yeah, I realize that requesting money to develop software is a bit, well, capitalistic of me. But please realize that I live in a capitalistic society and I need money to have other people give me the things that I need to continue living under the rules of said society. So, if you feel that this piece of software has helped you out enough to warrant a reward, please PayPal a donation to now@disu.se¹. Thanks! Your support won’t go unnoticed! ¹ Send a donation: https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=now%40disu%2ese&item_name=Lookout § Reporting Bugs Please report any bugs that you encounter to the {issue tracker}¹. ¹ See https://github.com/now/lookout/issues § Contributors Contributors to the original expectations codebase are mentioned there. We hope no one on that list feels left out of this list. Please {let us know}¹ if you do. • Nikolai Weibull ¹ Add an issue to the Lookout issue tracker at https://github.com/now/lookout/issues § Licensing Lookout is free software: you may redistribute it and/or modify it under the terms of the {GNU Lesser General Public License, version 3}¹ or later², as published by the {Free Software Foundation}³. ¹ See http://disu.se/licenses/lgpl-3.0/ ² See http://gnu.org/licenses/ ³ See http://fsf.org/
Rbind is developed to automatically generate ruby bindings for OpenCV but is not tight to this library.This gem is still under heavy development and the API might change in the future.
Ruby ISBNdb is a amazingly fast and accurate gem that reads ISBNdb.com's XML API and gives you incredible flexibilty with the results! The newest version of the gem also features caching, so developers minimize API-key usage.
= The Owasp ESAPI Ruby project == Introduction The Owasp ESAPI Ruby is a port for outstanding release quality Owasp ESAPI project to the Ruby programming language. Ruby is now a famous programming language due to its Rails framework developed by David Heinemeier Hansson (http://twitter.com/dhh) that simplify the creation of a web application using a convention over configuration approach to simplify programmers' life. Despite Rails diffusion, there are a lot of Web framework out there that allow people to write web apps in Ruby (merb, sinatra, vintage) [http://accidentaltechnologist.com/ruby/10-alternative-ruby-web-frameworks/]. Owasp Esapi Ruby wants to bring all Ruby deevelopers a gem full of Secure APIs they can use whatever the framework they choose. == Why supporting only Ruby 1.9.2 and beyond? The OWASP Esapi Ruby gem will require at least version 1.9.2 of Ruby interpreter to make sure to have full advantages of the newer language APIs. In particular version 1.9.2 introduces radical changes in the following areas: === Regular expression engine (to be written) === UTF-8 support Unicode support in 1.9.2 is much better and provides better support for character set encoding/decoding * All strings have an additional chunk of info attached: Encoding * String#size takes encoding into account – returns the encoded character count * You can get the raw datasize * Indexed access is by encoded data – characters, not bytes * You can change encoding by force but it doesn’t convert the data === Dates and Time From "Programming Ruby 1.9" "As of Ruby 1.9.2, the range of dates that can be represented is no longer limited by the under- lying operating system’s time representation (so there’s no year 2038 problem). As a result, the year passed to the methods gm, local, new, mktime, and utc must now include the century—a year of 90 now represents 90 and not 1990." == Roadmap Please see ChangeLog file. == Note on Patches/Pull Requests * Fork the project. * Create documentation with rake yard task * Make your feature addition or bug fix. * Add tests for it. This is important so I don't break it in a future version unintentionally. * Commit, do not mess with rakefile, version, or history. (if you want to have your own version, that is fine but bump version in a commit by itself I can ignore when I pull) * Send me a pull request. Bonus points for topic branches. == Copyright Copyright (c) 2011 the OWASP Foundation. See LICENSE for details.