README.md in quality-measure-engine-1.1.5 vs README.md in quality-measure-engine-2.0.0
- old
+ new
@@ -1,34 +1,27 @@
+Quality Measure Engine
+----------------------
+
This project is a library designed to calculate clinical quality measures over a given population. Quality measures are described via JSON and provide the details on what information is needed from a patient record to calculate a quality measure. The logic of the measure is described in JavaScript using the MapReduce algorithmic framework.
-Usage
-=====
-
-Extracting Measure Data from a HITSP C32
-----------------------------------------
-
-Each quality measure will need to extract specific information from a HITSP C32 for calculation. First, for each quality measure, a QME::Importer::GenericImporter should be created by passing in the JSON definition of the quality measure.
-
-Next, an instance of QME::Importer::PatientImporter should be obtained by calling instance (it follows the singleton pattern). Add the GenericImporters for each desired measure with the add measure method. Finally, you can get a JSON representation of a patient record with the necessary information extracted by calling parse_c32.
-
Calculating Quality Measures
----------------------------
Results of quality measures are represented by QME::QualityReport. This class provides ways to determine if a report has been calculated for a population in the database as well as ways to create jobs to run the calculations.
Environment
===========
-This project currently uses Ruby 1.9.2 and is built using [Bundler](http://gembundler.com/). To get all of the dependencies for the project, first install bundler:
+This project currently uses Ruby 1.9.3 and is built using [Bundler](http://gembundler.com/). To get all of the dependencies for the project, first install bundler:
gem install bundler
Then run bundler to grab all of the necessary gems:
bundle install
-The Quality Measure engine relies on a MongoDB [MongoDB](http://www.mongodb.org/) running a minimum of version 1.8.* or higher. To get and install Mongo refer to:
+The Quality Measure engine relies on a MongoDB [MongoDB](http://www.mongodb.org/) running a minimum of version 2.2.* or higher. To get and install Mongo refer to:
http://www.mongodb.org/display/DOCS/Quickstart
It also relies on [Redis](http://redis.io/) for background jobs via [Resque](https://github.com/defunkt/resque). To install Redis, please refer to:
@@ -44,46 +37,32 @@
QUEUE=* bundle exec rake resque:work
Testing
=======
-This project uses [RSpec](http://github.com/rspec/rspec-core) for testing. To run the suite, just enter the following:
+This project uses [minitest](https://github.com/seattlerb/minitest) for testing. To run the suite, just enter the following:
- bundle exec rake spec
+ bundle exec rake test
-The coverage of the test suite is monitored with [cover_me](https://github.com/markbates/cover_me) and can be run with:
+The coverage of the test suite is monitored with [cover_me](https://github.com/markbates/cover_me). You can see the code coverage by looking in the coverage directory after running the test suite
- bundle exec rake coverage
+Project Practices
+=================
-Map Reduce Testing
-------------------
+Please try to follow our [Coding Style Guides](http://github.com/eedrummer/styleguide). Additionally, we will be using git in a pattern similar to [Vincent Driessen's workflow](http://nvie.com/posts/a-successful-git-branching-model/). While feature branches are encouraged, they are not required to work on the project.
-This project used the [MapReduce](http://www.mongodb.org/display/DOCS/MapReduce) functionality of MongoDB pretty heavily.
-Debugging JavaScript that is to be run inside of MongoDB can be a bit of a chore, so there is a testing tool that can be run
-in your browser to aid in troubleshooting.
+License
+=======
-The tool is a very small web application based on the [Sinatra](http://www.sinatrarb.com/) framework. It can be run
-by executing the following command:
+Copyright 2012 The MITRE Corporation
- bundle exec ruby map_test/map_test.rb
+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
-After running this command, you can open your browser to [http://localhost:4567](http://localhost:4567). This will show you a page
-of measures to choose from. Once you have selected a measure, it will take you to a page where you can choose the map function you
-want to test and the effective date you want to run the function with. Once that is selected, you will arrive at the map test page.
-The map test page provides the ability to load test JSON records from within the project. Once they are loaded, they can be edited
-in the textarea on the page. Finally, if you click the "run" button, it will execute the map function on the record in the text area
-and output the results. Since this is executing in a web browser, you can use the JavaScript debugging utilities provided to set
-breakpoints and inspect variables.
+ http://www.apache.org/licenses/LICENSE-2.0
-Source Code Analysis
---------------------
-
-This project uses [metric_fu](http://metric-fu.rubyforge.org/) for source code analysis. Reports can be run with:
-
- bundle exec rake metrics:all
-
-The project is currently configured to run Flay, Flog, Churn, Reek and Roodi
-
-Project Practices
-=================
-
-Please try to follow our [Coding Style Guides](http://github.com/eedrummer/styleguide). Additionally, we will be using git in a pattern similar to [Vincent Driessen's workflow](http://nvie.com/posts/a-successful-git-branching-model/). While feature branches are encouraged, they are not required to work on the project.
+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.