Results for connect-form

Library for connecting to REDCap and parsing forms and data

Super Scale Caching Framework - Monitor Server

On-the-fly RSA encryption for secure transmission of forms/resources over non-secure connection

Filteron acts as a bridge connecting filter form controls to your ActiveRecord scope, allowing for multi-layered combined scoping.

Marvin is a library (also usable in framework / application form) that makes it simple and fast to build applications around IRC. With an emphasis on making common tasks (e.g. replies, bots using method call style syntax and the like) easy, whilst still making it possible to do more complex thing (1 connection, N worker processes, Multiple servers, etc) it aims to make working with IRC in an evented fashion fun and easy for all rubyists.

Most is a simple academic modular open software tester. Most, the Core is the main part of the system. Most provides the environment and interface bridges for modules that will implement the basic functionality of the testing system. In general Most, the Core consists form two main interfaces: the connector and the tester. The connector interface offers the basic bridge to make an implementation of a module which will act as a controlling interface of the system. It can be a command line interface or it can be a module which will set up a server providing a network access for end users. The tester interface allows building an implementation of the software validator. By default the Most ships with the tester compliant with the ICPC Validator Standard. The Most system proposes to implement a testing system following this standard, but it is not obligatory. The 3-rd party implementation can vary significantly considering the user preferences. It is possible to build other interface bridges using the abstract interface classes provided by the Most system to extend the functionality of the modules. For example the implementation of the connector interface in the form of the network server can build a tunnel interface bridge, so that developers can make implementations, for example, of a SSH tunnel in order to provide a secure connection with the testing system. The default system bundle is shipped with a number of basic interface implementations (modules). Please, consider taking a look on realize notes for the list of supplied modules.

RSence is a different and unique development model and software frameworks designed first-hand for real-time web applications. RSence consists of separate, but tigtly integrated data- and user interface frameworks. RSence could be classified as a thin server - thick client system. Applications and submobules are installed as indepenent plugin bundles into the plugins folder of a RSence environment, which in itself is a self-contained bundle. A big part of RSence itself is implemented as shared plugin bundles. The user interface framework of RSence is implemented in high-level user interface widget classes. The widget classes share a common foundation API and access the browser's native API's using an abstracted event- and element layer, which provides exceptional cross-browser compatibility. The data framework of RSence is a event-driven system, which synchronized shared values between the client and server. It's like a realtime bidirectional form-submission engine that handles data changes intelligently. On the client, changed values trigger events on user interface widgets. On the server, changed values trigger events on value responder methods of server plugin modules. It doesn't matter if the change originates on client or server, it's all synchronized and propagated automatically. The server framework is implemented as a high-level, modular data-event-driven system, which handles delegation of tasks impossible to implement using a client-only approach. Client sessions are selectively connected to other client sessions and legacy back-ends via the server by using the data framework. The client is written in Javascript and the server is written in Ruby. The client also supports CoffeeScript for custom logic. In many cases, no custom client logic is needed; the user interfaces can be defined in tree-like data models. By default, the models are parsed from YAML files, and other structured data formats are possible, including XML, JSON, databases or any custom logic capable of producing similar objects. The server can connect to custom environments and legacy backends accessible on the server, including software written in other languages.

RSence is a different and unique development model and software frameworks designed first-hand for real-time web applications. RSence consists of separate, but tigtly integrated data- and user interface frameworks. RSence could be classified as a thin server - thick client system. Applications and submobules are installed as indepenent plugin bundles into the plugins folder of a RSence environment, which in itself is a self-contained bundle. A big part of RSence itself is implemented as shared plugin bundles. The user interface framework of RSence is implemented in high-level user interface widget classes. The widget classes share a common foundation API and access the browser's native API's using an abstracted event- and element layer, which provides exceptional cross-browser compatibility. The data framework of RSence is a event-driven system, which synchronized shared values between the client and server. It's like a realtime bidirectional form-submission engine that handles data changes intelligently. On the client, changed values trigger events on user interface widgets. On the server, changed values trigger events on value responder methods of server plugin modules. It doesn't matter if the change originates on client or server, it's all synchronized and propagated automatically. The server framework is implemented as a high-level, modular data-event-driven system, which handles delegation of tasks impossible to implement using a client-only approach. Client sessions are selectively connected to other client sessions and legacy back-ends via the server by using the data framework. The client is written in Javascript and the server is written in Ruby. The client also supports CoffeeScript for custom logic. In many cases, no custom client logic is needed; the user interfaces can be defined in tree-like data models. By default, the models are parsed from YAML files, and other structured data formats are possible, including XML, JSON, databases or any custom logic capable of producing similar objects. The server can connect to custom environments and legacy backends accessible on the server, including software written in other languages.

# FaradayError [](https://badge.fury.io/rb/faraday_error) A [Faraday](https://github.com/lostisland/faraday) middleware for adding request parameters to your exception tracker. ### Supports - [Honeybadger](https://www.honeybadger.io/) - [NewRelic](http://newrelic.com/) - Your favorite thing, as soon as you make a pull request! ## Installation Add this line to your application's Gemfile: ```ruby gem 'faraday_error' ``` And then execute: $ bundle Or install it yourself as: $ gem install faraday_error ## Usage Configure your Faraday connection to use this middleware. You can optionally specify a name; defaults to `faraday`. It is expected that you also use `Faraday::Response::RaiseError` somewhere in your stack. ```ruby connection = Faraday.new(url: 'http://localhost:4567') do |faraday| faraday.use FaradayError::Middleware, name: "example_request" faraday.use Faraday::Response::RaiseError faraday.adapter Faraday.default_adapter end ``` And that's it. Make a request as you normally would. ```ruby connection.post do |req| req.url '/503' req.headers['Content-Type'] = 'application/json' req.body = JSON.generate(abc: "xyz") end ``` If any request fails, Honeybadger's "context" for this error will include your request parameters. If sending JSON or `application/x-www-form-urlencoded`, these will be included in parsed form. ```json { "example_request": { "method": "post", "url": "http://localhost:4567/503", "request_headers": { "User-Agent": "Faraday v0.9.2", "Content-Type": "application/json" }, "body_length": 13, "body": { "abc": "xyz" } } } ``` ## Development After checking out the repo, run `bin/setup` to install dependencies. Then, run `rake spec` to run the tests. You can also run `bin/console` for an interactive prompt that will allow you to experiment. To install this gem onto your local machine, run `bundle exec rake install`. To release a new version, update the version number in `version.rb`, and then run `bundle exec rake release`, which will create a git tag for the version, push git commits and tags, and push the `.gem` file to [rubygems.org](https://rubygems.org). The included [RestReflector](../master/spec/rest_reflector.rb) Sinatra app is suitable for making requests that are guaranteed to fail in particlar ways. ## Contributing Bug reports and pull requests are welcome on GitHub at https://github.com/jelder/faraday_error. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the [Contributor Covenant](http://contributor-covenant.org) code of conduct. ## License The gem is available as open source under the terms of the [MIT License](http://opensource.org/licenses/MIT).

In computer science, a disjoint-set data structure, also called a union–find data structure or merge–find set, is a data structure that keeps track of a set of elements partitioned into a number of disjoint (non-overlapping) subsets. It provides near-constant-time operations (bounded by the inverse Ackermann function) to add new sets, to merge existing sets, and to determine whether elements are in the same set. In addition to many other uses (see the Applications section), disjoint-sets play a key role in Kruskal's algorithm for finding the minimum spanning tree of a graph. A disjoint-set forest consists of a number of elements each of which stores an id, a parent pointer, and, in efficient algorithms, a value called the "rank". The parent pointers of elements are arranged to form one or more trees, each representing a set. If an element's parent pointer points to no other element, then the element is the root of a tree and is the representative member of its set. A set may consist of only a single element. However, if the element has a parent, the element is part of whatever set is identified by following the chain of parents upwards until a representative element (one without a parent) is reached at the root of the tree. Forests can be represented compactly in memory as arrays in which parents are indicated by their array index. Disjoint-set data structures model the partitioning of a set, for example to keep track of the connected components of an undirected graph. This model can then be used to determine whether two vertices belong to the same component, or whether adding an edge between them would result in a cycle. The Union–Find algorithm is used in high-performance implementations of unification. This data structure is used by the Boost Graph Library to implement its Incremental Connected Components functionality. It is also a key component in implementing Kruskal's algorithm to find the minimum spanning tree of a graph. Note that the implementation as disjoint-set forests doesn't allow the deletion of edges, even without path compression or the rank heuristic. Sharir and Agarwal report connections between the worst-case behavior of disjoint-sets and the length of Davenport–Schinzel sequences, a combinatorial structure from computational geometry.

= DESCRIPTION: Provides a Chef handler which can report run status, including any changes that were made, to a rabbit server. In the case of failed runs a backtrace will be included in the details reported. Based on the Graylog Gelf handler by Jon Wood (<jon@blankpad.net>) https://github.com/jellybob/chef-gelf = REQUIREMENTS: * A Rabbit server running somewhere. = USAGE: This example makes of the chef_handler cookbook, place some thing like this in cookbooks/chef_handler/recipes/rabbit.rb and add it to your run list. include_recipe "chef_handler::default" gem_package "chef-rabbit" do action :nothing end.run_action(:install) # Make sure the newly installed Gem is loaded. Gem.clear_paths require 'chef/rabbit' chef_handler "Chef::RABBIT::Handler" do source "chef/rabbit" arguments({ :connection => { :host => "your_rabbit_server", :user => "rabbit_user", :pass => "rabbit_pass", :vhost => "/stuff" } :queue => { :name => "some_queue", :params => { :durable => true, ... } }, :exchange => { :name => "some_exchange", :params => { :durable => true, ... } }, :timestamp_tag => "@timestamp" }) supports :exception => true, :report => true end.run_action(:enable) Arguments take the form of an options hash, with the following options: * :connection - http://rubybunny.info/articles/connecting.html * :queue - rabbit queue info to use. name is set to "chef-client" + durable = true by default * :exchange - rabbit exchange to use .default_exchange + durable = true by default * :timestamp_tag - tag for timestamp "timestamp" by default * :blacklist ({}) - A hash of cookbooks, resources and actions to ignore in the change list. = BLACKLISTING: Some resources report themselves as having updated on every run even if nothing changed, or are just things you don't care about. To reduce the amount of noise in your logs these can be ignored by providing a blacklist. In this example we don't want to be told about the GELF handler being activated: chef_handler "Chef::RABBIT::Handler" do source "chef/rabbit" arguments({ :blacklist => { "chef_handler" => { "chef_handler" => [ "nothing", "enable" ] } } }) supports :exception => true, :report => true end.run_action(:enable) = LICENSE and AUTHOR: Copyright 2014 by MTN Satellite Communications Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

:title: The Ruby API :section: PYAPNS::Client There's python in my ruby! This is a class used to send notifications, provision applications and retrieve feedback using the Apple Push Notification Service. PYAPNS is a multi-application APS provider, meaning it is possible to send notifications to any number of different applications from the same application and same server. It is also possible to scale the client to any number of processes and servers, simply balanced behind a simple web proxy. It may seem like overkill for such a bare interface - after all, the APS service is rather simplistic. However, PYAPNS takes no shortcuts when it comes to completeness/compliance with the APNS protocol and allows the user many optimization and scaling vectors not possible with other libraries. No bandwidth is wasted, connections are persistent and the server is asynchronous therefore notifications are delivered immediately. PYAPNS takes after the design of 3rd party push notification service that charge a fee each time you push a notification, and charge extra for so-called 'premium' service which supposedly gives you quicker access to the APS servers. However, PYAPNS is free, as in beer and offers more scaling opportunities without the financial draw. :section: Provisioning To add your app to the PYAPNS server, it must be `provisioned` at least once. Normally this is done once upon the start-up of your application, be it a web service, desktop application or whatever... It must be done at least once to the server you're connecting to. Multiple instances of PYAPNS will have to have their applications provisioned individually. To provision an application manually use the `PYAPNS::Client#provision` method. require 'pyapns' client = PYAPNS::Client.configure client.provision :app_id => 'cf', :cert => '/home/ss/cert.pem', :env => 'sandbox', :timeout => 15 This basically says "add an app reference named 'cf' to the server and start a connection using the certification, and if it can't within 15 seconds, raise a `PYAPNS::TimeoutException` That's all it takes to get started. Of course, this can be done automatically by using PYAPNS::ClientConfiguration middleware. `PYAPNS::Client` is a singleton class that is configured using the class method `PYAPNS::Client#configure`. It is sensibly configured by default, but can be customized by specifying a hash See the docs on `PYAPNS::ClientConfiguration` for a list of available configuration parameters (some of these are important, and you can specify initial applications) to be configured by default. :section: Sending Notifications Once your client is configured, and application provisioned (again, these should be taken care of before you write notification code) you can begin sending notifications to users. If you're wondering how to acquire a notification token, you've come to the wrong place... I recommend using google. However, if you want to send hundreds of millions of notifications to users, here's how it's done, one at a time... The `PYAPNS::Client#notify` is a sort of polymorphic method which can notify any number of devices at a time. It's basic form is as follows: client.notify 'cf', 'long ass app token', {:aps=> {:alert => 'hello?'}} However, as stated before, it is sort of polymorphic: client.notify 'cf', ['token', 'token2', 'token3'], [alert, alert2, alert3] client.notify :app_id => 'cf', :tokens => 'mah token', :notifications => alertHash client.notify 'cf', 'token', PYAPNS::Notification('hello tits!') As you can see, the method accepts paralell arrays of tokens and notifications meaning any number of notifications can be sent at once. Hashes will be automatically converted to `PYAPNS::Notification` objects so they can be optimized for the wire (nil values removed, etc...), and you can pass `PYAPNS::Notification` objects directly if you wish. :section: Retrieving Feedback The APS service offers a feedback functionality that allows application servers to retrieve a list of device tokens it deems to be no longer in use, and the time it thinks they stopped being useful (the user uninstalled your app, better luck next time...) Sounds pretty straight forward, and it is. Apple recommends you do this at least once an hour. PYAPNS will return a list of 2-element lists with the date and the token: feedbacks = client.feedback 'cf' :section: Asynchronous Calls PYAPNS::Client will, by default, perform no funny stuff and operate entirely within the calling thread. This means that certain applications may hang when, say, sending a notification, if only for a fraction of a second. Obviously not a desirable trait, all `provision`, `feedback` and `notify` methods also take a block, which indicates to the method you want to call PYAPNS asynchronously, and it will be done so handily in another thread, calling back your block with a single argument when finished. Note that `notify` and `provision` return absolutely nothing (nil, for you rub--wait you are ruby developers!). It is probably wise to always use this form of operation so your calling thread is never blocked (especially important in UI-driven apps and asynchronous servers) Just pass a block to provision/notify/feedback like so: PYAPNS::Client.instance.feedback do |feedbacks| feedbacks.each { |f| trim_token f } end :section: PYAPNS::ClientConfiguration A middleware class to make `PYAPNS::Client` easy to use in web contexts Automates configuration of the client in Rack environments using a simple confiuration middleware. To use `PYAPNS::Client` in Rack environments with the least code possible `use PYAPNS::ClientConfiguration` (no, really, in some cases, that's all you need!) middleware with an optional hash specifying the client variables. Options are as follows: use PYAPNS::ClientConfiguration( :host => 'http://localhost/' :port => 7077, :initial => [{ :app_id => 'myapp', :cert => '/home/myuser/apps/myapp/cert.pem', :env => 'sandbox', :timeout => 15 }]) Where the configuration variables are defined: :host String the host where the server can be found :port Number the port to which the client should connect :initial Array OPTIONAL - an array of INITIAL hashes INITIAL HASHES: :app_id String the id used to send messages with this certification can be a totally arbitrary value :cert String a path to the certification or the certification file as a string :env String the environment to connect to apple with, always either 'sandbox' or 'production' :timoeut Number The timeout for the server to use when connecting to the apple servers :section: PYAPNS::Notification An APNS Notification You can construct notification objects ahead of time by using this class. However unnecessary, it allows you to programmatically generate a Notification like so: note = PYAPNS::Notification.new 'alert text', 9, 'flynn.caf', {:extra => 'guid'} -- or -- note = PYAPNS::Notification.new 'alert text' These can be passed to `PYAPNS::Client#notify` the same as hashes

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