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# Hastic server
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Implementation of basic pattern recognition and unsupervised learning for anomaly detection.
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Implementation of analytic unit for Hastic.
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see [REST API](REST.md)
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## Build & run
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### Docker
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First of all, you should generate [API key](http://docs.grafana.org/tutorials/api_org_token_howto/) in your Grafana instance.
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Without API key hastic-server will not be able to use your datasources.
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Example of running hastic-server in Docker:
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```
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docker build -t hastic-server .
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docker run -d --name hastic-server -p 80:8000 -e API_KEY=<your_grafana_api_key> hastic-server
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```
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