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sanke1
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6 years ago | |
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analytics | 6 years ago | |
server | 7 years ago | |
.gitignore | 7 years ago | |
Dockerfile | 7 years ago | |
HOOKS.md | 7 years ago | |
LICENSE | 7 years ago | |
README.md | 6 years ago | |
REST.md | 7 years ago |
README.md
Hastic server
Implementation of basic pattern recognition for anomaly detection.
Implementation of analytics unit for Hastic.
Please note that we are still in alpha, so features are subject to change
See also:
- Hooks - notifications about events
- REST - for developing your plugins
- HasticPanel - Hastic visualisation plugin for Grafana
Build & run
Hastic server requires Grafana's API key (http://<your_grafana_url>/org/apikeys) to query data from Grafana datasources.
API key role requires only Viewer
access.
Possible to install on:
Linux
Environment variables
It is possible to export the 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
System prerequisites:
- git
- nodejs >= 6.0.0
- python3 with pip3
Installation
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
export HASTIC_API_KEY=<your_grafana_api_key>
export HASTIC_PORT=<port_you_want_to_run_server_on>
cd ./hastic-server/server
npm start
Docker
Build
git clone https://github.com/hastic/hastic-server.git
cd hastic-server
docker build -t hastic-server .
Run
docker run -d --name hastic-server -p 80:8000 -e HASTIC_API_KEY=<your_grafana_api_key> hastic-server
Known bugs & issues
- Adding labeled segments while learning is in progress is not supported
- Dataset doesn't update after 1st learning
- Currently only influxDB datasource is supported