codeformuenster/open-events

Name: open-events

Owner: codeformuenster

Description: Freie Termindatenbank inklusive diverse Scraper zum Auslesen von Terminen.

Created: 2015-03-18 18:35:32.0

Updated: 2016-10-23 17:02:55.0

Pushed: 2017-02-07 22:00:51.0

Homepage: http://events.input23.de/

Size: 3155

Language: JavaScript

GitHub Committers

User	Most Recent Commit	# Commits

Other Committers

User	Email	Most Recent Commit	# Commits

README

Open Events Database

Welcome to the code repository of the Open Event Search Engine (OESE) and Open Events Database project.

We have a fancy project homepage here: http://events.input23.de

Install

If you want to run the Events Database, you only need to install docker and docker-compose.

If you are on a newer Ubuntu Version follow the instructions of: https://gist.github.com/wdullaer/f1af16bd7e970389bad3

Run the Elasticsearch instance and import event data

1. Start ElasticSearch, Kibana:

   o] docker-compose up -d
   

2. Setup the elasticsearch index:

   (You only need to do this once before the first run of the event importers)

   lasticserch;./create_index.sh
   

3. Run the importers to import data into your elasticsearch instance: Check out the directory scripts and run the import engines of your desired regions or event types.

   E.g. for the Münster events this would be:

   cripts
   crapers-muenster
   stall.sh
    muenster-scraper.pl
   

Run the JSON REST API

In order to start it, you just need to docker-compose up and then start the Strongloop Loopback API Server. Check out the details in our detailed readme for strongloop.

Then you can check out the following urls:

• Use the Sense interface to run queries on the database: http://localhost:5601/app/sense
• Explore the data using Kibana: http://localhost:5601

Example elasticsearch queries

o location query for events
 -XGET localhost:9200/events/event/_search?pretty=true -d '

     "query" : {
         "match_all" : {}
     },
     "filter" : {
         "geo_distance" : {
             "distance" : "10km",
             "event.location.geo" : {
                 "lat" : "51.96066",
                 "lon" : "7.62613"
             }
         }
     }

Check out the ElasticSearch example queries page

FAQ

• What is planned for this project? Here is an old post from the forum: (in german) http://forum.codeformuenster.org/t/open-calendar-offene-termindatenbank/109
• How can I help? If any of the project parts are interesting for you (search engine, website scraping, search engine frontend), please check out the contact information on our project page http://events.input23.de or check out the github issues.

Structure Diagram

The architecture of the Sytem is based on the following diagram:

right side (light blue) = frontend, left side (yellow) = backend