Elasticsearch for desktop with rofi (here used to find text, pdf, code documents)
This script searches all documents on the computer for a specific keyphrase. For this FSCrawler is used to index all types of files (pdf, txt, py, c++, videos images, ...) and send it to elasticsearch. Rofi is then used as simple interface for opening the found files.
Install docker and FSCrawler with my predefined setupscript.
Elasticsearch is available on AUR or with apt-get. Details can be found here.
Just run the basic settings (here I assume elasticsearch uses port 9200)
Alternatively it is possible to run elasticsearch withhin a docker. For this a permanant storage is needed. To use the official docker image with persistent storage run:
docker pull docker.elastic.co/elasticsearch/elasticsearch:6.3.2
docker volume create --name elasticdata
Now elasticsearch can be started by (or use -d for detached/background mode):
docker --rm -ti -p 9200:9200 -v elasticdata:/usr/share/elasticsearch/data elasticsearchGet FScrawler
wget https://repo1.maven.org/maven2/fr/pilato/elasticsearch/crawler/fscrawler/2.5/fscrawler-2.5.zip
unzip fscrawler-2.5.zipFollow this very simple tutorial to crawl your data.
After creating a job_name, make sure to define the correct path in .fscrawler/job_name/_settings.json and setup your time, bytesize if needed.
in rofiscripts/rofi_elastic.py replace the default parameter for the argparser with your index (job_name). Alternatively the index can be submitted with the --index parameter. Install the requirements.txt and run the script to use rofi with elastic search. This can also easily be used with i3.