A RESTful API to store and search log data in Elasticsearch
First, you need to send the log's data to storage in Elasticsearch. You can configure any app to that just making a POST to Elasticlog. You need to configure an Elasticsearch server too and change the hostname variable defined into settings.py file.
git clone <this-repo>
pip install -r requirements.txt
python server.pyYou can run using the Docker way:
make build
make docker-run
make fixtures
make runTo send the log's data, just make a POST to the API:
curl -X POST -H 'content-type:application/json' http://`boot2docker ip`/v1/logs/index1 -d '{
"created_at": "2015-07-30",
"filename": "connection.py",
"level": "ERROR",
"message": "Error connecting to database"
}'The API can also list all log's data:
# basic usage
curl -H 'content-type:application/json' http://`boot2docker ip`/v1/logs/index1
# pagination support
curl -H 'content-type:application/json' http://`boot2docker ip`/v1/logs/index1?page=1&per_page=5
# order by asc or desc
curl -H 'content-type:application/json' http://`boot2docker ip`/v1/logs/index1?sort=-created_at
# group by level
curl -H 'content-type:application/json' http://`boot2docker ip`/v1/logs/index1?group_by=ERRORThere is a web interface to see the log's data.
open http://`boot2docker ip`/html/distThe Marvel plugin is installed into Docker instance. You can access by:
open http://`boot2docker ip`:9200/_plugin/marvelMIT