mirror of
https://github.com/CodeforLeipzig/stadtratmonitor.git
synced 2024-12-23 08:03:14 +01:00
76 lines
3.9 KiB
Markdown
76 lines
3.9 KiB
Markdown
# Stadtratmonitor
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## Usage / Features
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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).
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### Sorting
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* Sort by date, paper was issued
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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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### Filtering
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* By paper type
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* By originator
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### Staying up-to-date
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#### General
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* Subscribing
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* [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
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* [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)
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* [RSSOWL](http://www.rssowl.org/)
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#### Example using Firefox and RSSOWL
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Click on the newsfeed icon in the address bar
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Copy the URL from the address bar
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Create a new Feed in RSSOWL and paste the just copied URL in the form
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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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[](https://travis-ci.org/CodeforLeipzig/stadtratmonitor) [](https://coveralls.io/github/CodeforLeipzig/stadtratmonitor?branch=master) [](https://codeclimate.com/github/CodeforLeipzig/stadtratmonitor)
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## Setup
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There are two ways to run this app: using a local development setup, or using
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docker.
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### Local machine setup
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1. Install Ruby, Bundler, Elasticsearch
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1. Start Elasticsearch: `elasticsearch`
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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
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1. Install docker and docker-compose: https://docs.docker.com/compose/install/
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1. Start the app: `docker-compose up`
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1. Initialize the database: `docker-compose run web rake db:setup`
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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
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1. Currently an API key for morph is required:
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`cp config/morph.yml.example config/morph.yml`
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Edit the morph.yml file and insert the Morph API key
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1. Import the data from our scraper: `docker-compose run web rake import_papers`
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1. Build the elasticsearch index: `docker-compose run web rake index:rebuild`
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