[Hastic server](https://hastic.io) [![Travis CI](https://travis-ci.org/hastic/hastic-server.svg?branch=master)](https://travis-ci.org/hastic/hastic-server) ================ [Website](https://hastic.io) | [Twitter](https://twitter.com/hasticio) Implementation of basic pattern recognition for anomaly detection. Implementation of analytic unit for Hastic. See also: * [Hooks](https://github.com/hastic/hastic-server/blob/master/HOOKS.md) - notifications about events * [REST](REST.md) - for developing your plugins * [HasticPanel](https://github.com/hastic/hastic-grafana-graph-panel) - Hastic plugin for Grafana ## Build & run Server needs Grafana's API key (http:///org/apikeys) to query data from Grafana datasources. API key role needs only `Viewer` access. You can install it on: * [Linux](#linux) * [Docker](#docker) ### Linux #### Environment variables You can export following environment variables for hastic-server to use: - HASTIC_API_KEY - (required) API-key of your Grafana instance - HASTIC_PORT - (optional) port you want to run server on, default: 8000 #### Dependencies You need in your system: * [nodejs >= 6.0.0](https://nodejs.org/en/download/package-manager/) * [python3](https://www.python.org/downloads/) with pip3 * curl gnupg git make g++ #### Intallation ```bash pip3 install pandas seglearn scipy tsfresh git clone https://github.com/hastic/hastic-server.git cd ./hastic-server/server npm install npm run build ``` #### Run ```bash export HASTIC_API_KEY= export HASTIC_PORT= cd ./hastic-server/server npm start ``` ### Docker Example of running hastic-server in Docker: #### Build ```bash git clone https://github.com/hastic/hastic-server.git cd hastic-server docker build -t hastic-server . ``` #### Run ```bash docker run -d --name hastic-server -p 80:8000 -e HASTIC_API_KEY= hastic-server ``` ### Known bugs & issues - If you add labeled segments while learning - it fails - Dataset doesn't get updated after 1st learning - Currently only influxDB datasource is supported