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ansible

Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.

dev-git

hello-world

installations

java

The Squash client library for Java projects.

javaparser-maven-sample

Sample project with a basic Maven + JavaParser setup

jenkins

jenkins-cicd-intro

Jenkins CICD Introduction Demo Code and Configs

jenkins-nexus

jenkins_pipeline_java_maven

Demo project for setting up a Jenkinsfile within the project to run a maven build.

new

pipeline

uberlibrary

Uberlibrary This is the root folder of the project Uberlibrary backend Start Recommender API Service before starting backend The backend is implemented in Java and has following jobs: - getting data from Wienbibliothek and make it available for webui - saving the reviews - make the reviews available for the webui Preconditions: - install mongodb - run the backend from Intellij by simply starting the SpringBoot Application or by maven command mvn clean compile exec:java -Dexec.mainClass="at.tuwien.innovation.group7.Application" webui The webui is implemented in JavaScript and uses the framework AngularJs - install node on your machine - sudo npm install -g angular-cli - sudo npm install -g bower - go into the folder and run npm install and bower install - run the webui with ng serve -host 0.0.0.0 Recommender API Service Recommender API install python scientific packeges https://ipython.org/install.html + install python flask microframework http://flask.pocoo.org/ + install flask_cors start the Recommender API with "./main.py" BEFORE starting the backend (backend needs it) you can start making calls from frontend or from backend API call: http://127.0.0.1:5000/get/RECORD_ID/BOOK_SIMILARITY RECORD_ID: the library book identifier BOOK_SIMILARITY (from 1 to 9) Response: { "OTHER_RECORD_ID": similarity } EXAMPLES call:http://127.0.0.1:5000/get/304133/2 response: { "304134": 0.81000000000000005, "304139": 0.34999999999999998, "304140": 0.25, "304141": 0.40000000000000002, "304142": 0.47999999999999998, "304143": 0.40999999999999998, "304144": 0.37, "304145": 0.44, "304146": 0.44, "304148": 0.34000000000000002, "304149": 0.23000000000000001, "304153": 0.22, "304154": 0.57999999999999996, "304156": 0.23999999999999999, "304157": 0.45000000000000001, "304158": 0.38, "304159": 0.52000000000000002, "304160": 0.39000000000000001, "304161": 0.46999999999999997, "304162": 0.34000000000000002, "304163": 0.40000000000000002, "304164": 0.39000000000000001, "304165": 0.39000000000000001, "304166": 0.40999999999999998, "304167": 0.32000000000000001, "304168": 0.38, "304169": 0.40999999999999998, "304170": 0.40999999999999998, "304171": 0.34999999999999998, "304172": 0.37, "304173": 0.44, "304174": 0.35999999999999999, "304175": 0.39000000000000001, "304176": 0.38, "304177": 0.32000000000000001, "304178": 0.31, "304179": 0.41999999999999998, "304200": 0.34000000000000002, "304201": 0.23999999999999999, "304204": 0.31, "304206": 0.48999999999999999, "304207": 0.34999999999999998 } call: http://127.0.0.1:5000/get/304133/4 response: { "304134": 0.81000000000000005, "304142": 0.47999999999999998, "304143": 0.40999999999999998, "304145": 0.44, "304146": 0.44, "304154": 0.57999999999999996, "304157": 0.45000000000000001, "304159": 0.52000000000000002, "304161": 0.46999999999999997, "304166": 0.40999999999999998, "304169": 0.40999999999999998, "304170": 0.40999999999999998, "304173": 0.44, "304179": 0.41999999999999998, "304206": 0.48999999999999999 } call: http://127.0.0.1:5000/get/304133/6 response: { "304134": 0.81000000000000005 }