The Digitization of Everyday Life Datascape © 2020 by Anders Kristian Munk, Brit Ross Winthereik, Anders Grundtvig, Paul Girard, Alexis Jacomy, and Benoit Simard is a tool that allows you to navigate and tag large volumes of qualitative data.

This tool is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This tool is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

For further details on the GNU General Public License, see https://www.gnu.org/licenses/

Digitization of everyday life

./client/README.adoc

./api/README.adoc

./data/README.adoc

./docker/README.adoc

How to do a re-import

1. Download the user_tag.csv from the about page or by curl :

$> curl http://localhost/api/user_tags.csv

1. Stop the stack

$> cd $PROJECT_HOME/docker
$> docker-compose stop

1. Copy the new CSV files and images that you want to import in the folder ./data

2. Copy the user_tag.csv file in the ./data/csv folder

3. Delete the ES data

$> cd $PROJECT_HOME/docker/elasticseach/data
$> rm -rf *

1. Restart the stack

$> cd $PROJECT_HOME/docker
$> docker-compose start

1. Index the data in Elasticsearch

$> cd $PROJECT_HOME/
$> docker exec -it docker_api_1  bash -c "cd /api && python index_data_in_ES.py"