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# Stadtratmonitor
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[![Build Status ](https://travis-ci.org/CodeforLeipzig/stadtratmonitor.png?branch=master )](https://travis-ci.org/CodeforLeipzig/stadtratmonitor) [![Coverage Status ](https://coveralls.io/repos/github/CodeforLeipzig/stadtratmonitor/badge.svg?branch=master )](https://coveralls.io/github/CodeforLeipzig/stadtratmonitor?branch=master) [![Code Climate ](https://codeclimate.com/github/CodeforLeipzig/stadtratmonitor/badges/gpa.svg )](https://codeclimate.com/github/CodeforLeipzig/stadtratmonitor)
**Offical site:** https://stadtratmonitor.leipzig.codefor.de/
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## Usage / Features
The Stadtratmonitor Leipzig is a lightweight user interface for performing full text searches against paper contents issued to the city council of Leipzig. Note, this solution uses the data from [Ratsinformationssystem Leipzig ](https://ratsinfo.leipzig.de/bi/allris.net.asp ) that also offers [text search capabilities ](https://ratsinfo.leipzig.de/bi/yw010.asp ).
### Sorting
* Sort by date, paper was issued
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![Papers sorted by publishing date ](https://cloud.githubusercontent.com/assets/994131/14060246/b29c0356-f35e-11e5-837a-2106dd274694.JPG )
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* Sort by relevance, e.g. how often the search keyword appears inside the title resp. the content of the paper
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![Papers sorted by relevance ](https://cloud.githubusercontent.com/assets/994131/14060257/f7491002-f35e-11e5-9d39-f36b81c35c33.JPG )
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### Filtering
* By paper type
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![Filter by paper type ](https://cloud.githubusercontent.com/assets/994131/14060263/28c9d800-f35f-11e5-8c56-e8d208d85916.JPG )
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* By originator
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![Filter by originator ](https://cloud.githubusercontent.com/assets/994131/14060267/4fa539a6-f35f-11e5-981e-2467daf2dee2.JPG )
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### Staying up-to-date
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#### General
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* Subscribing
* [Google Chrome RSS extension ](https://chrome.google.com/webstore/detail/rss-subscription-extensio/nlbjncdgjeocebhnmkbbbdekmmmcbfjd?hl=de )
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* [Firefox RSS extension ](https://addons.mozilla.org/en-US/firefox/addon/rss-feed-icon-in-navbar/ )
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* Reading
* [Google Chrome Extension ](https://chrome.google.com/webstore/detail/rss-feed-reader/pnjaodmkngahhkoihejjehlcdlnohgmp )
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* [Firefox Extension ](https://addons.mozilla.org/en-US/firefox/addon/simple-rss-reader-srr )
* [RSSOWL ](http://www.rssowl.org/ )
#### Example using Firefox and RSSOWL
Click on the newsfeed icon in the address bar
![Abonnieren mit Firefox ](https://cloud.githubusercontent.com/assets/994131/14060508/fe7f4514-f366-11e5-85ae-2fa2e50b91ea.JPG )
Copy the URL from the address bar
![RSS URL in Firefox ](https://cloud.githubusercontent.com/assets/994131/14060515/30140e98-f367-11e5-9c77-86ba626e3c1b.JPG )
Create a new Feed in RSSOWL and paste the just copied URL in the form
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![RSSOWL Feed ](https://cloud.githubusercontent.com/assets/8532690/14472067/bbc5a64e-00f1-11e6-8e3e-551067b508e3.png )
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When updating the feed in RSSOWL (or any other RSS reader of your choice) time after time all new papers matching the search query criteria will appear.
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## Setup
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There are two ways to run this app: using a local development setup, or using
docker.
### Local machine setup
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1. Install Ruby, Bundler, Elasticsearch
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1. Start Elasticsearch: `elasticsearch`
1. Setup Rails app: `bundle && bundle exec rake db:setup`
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1. See "Importing data" below
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1. Start Rails server: `bundle exec rails s`
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1. Visit [http://localhost:3000 ](http://localhost:3000 )
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### Using docker
1. Install docker and docker-compose: https://docs.docker.com/compose/install/
1. Start the app: `docker-compose up`
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1. Initialize the database: `docker-compose run web rake db:setup`
1. See "Importing data" below
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1. Get the address of the docker host: `docker-machine ip default`
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1. Point your browser to: 'http://\<IP of docker host\>:3000'
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### Importing data and building the index
1. Currently an API key for morph is required:
`cp config/morph.yml.example config/morph.yml`
Edit the morph.yml file and insert the Morph API key
1. Import the data from our scraper: `docker-compose run web rake import_papers`
1. Build the elasticsearch index: `docker-compose run web rake index:rebuild`