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Alexey Velikiy
def174d126
|
6 years ago | |
---|---|---|
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 analytic unit for Hastic.
See also:
- Hooks - notifications about events
- REST - for developing your plugins
- HasticPanel - Hastic plugin for Grafana
Build & run
Server needs Grafana's API key (http://<your_grafana_url>/org/apikeys) to query data from Grafana datasources.
API key role needs only Viewer
access.
You can install it on:
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
- python3 with pip3
- curl gnupg git make g++
Intallation
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
Example of running hastic-server in 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
- If you add labeled segments while learning - it fails
- Dataset doesn't get updated after 1st learning
- Currently only influxDB datasource is supported