by Aaron Blankenburg, Bashar Asaad & Immanuel Thoke
- Requirements:
- any Linux distribution with
sudo - Docker-ce 18+
- docker-compose 1.20+
- account for docker hub to pull the images
to start the project simply cd into the directory of the project and execute ./start-project.sh. If you can't establish a connection to the internet or you don't have an account for the docker hub, please execute ./init-project.sh to build the docker-images locally and get the project started so!
If in any case these shell-scripts will fail use
docker-compose -f docker-compose.yml up -d for a normal start or
docker-compose -f docker-compose.local.yml up -d --build if you want to build the images on your own!
Have fun!
The search engine will be available in our browser at: http://localhost:8080/
##./data
../evaluation contains the sqlite-database-file of our first evaluation-iteration
../sample contains just the sample-core provided officially by solr for learning proposals and the query.csv for the evaluation server
../solr-env contains the whole individual solr configuration of our project, including the log files
in ../src you can find the data-set we used to retrieve information with solr
##./docs
contains some notes for our evaluation proposal and of former projects of the information retrieval course
##./evaluation
contains the source code for the evaluation server. You can use it as a standalone software if you have node installed, install the packages with npm or yarn and execute the start.js with node
##./frontend
contains the source code for the frontend of our search engine. Watch the package.json and tsconfig.json for some insights!
##./
contains all files to run our project