docs++

HOOKS.md

@@ -5,10 +5,10 @@ It's possible to get notifications about new anomalies via [WebHooks](https://en
 You need to set variable `HASTIC_ALERT_ENDPOINT` with your endpoint and expects `POST` methods 
 from hastic-server if format:
 
-```
+```json
 {
-  anomaly: 'cpu_load',
-  status: <str>
+  "anomaly": "cpu_load",
+  "status": "OK"
 }
 ```
 
@@ -26,9 +26,12 @@ docker run -d --name hastic-server -p 80:8000 -e HASTIC_API_KEY=<your_grafana_ap
 Add variable before launch node.js server
 
 ```bash
-$ export HASTIC_ALERT_ENDPOINT=http://alert.example.com
-$ cd hastic-server/server
-$ npm start
+export HASTIC_API_KEY=<your_grafana_api_key>
+export HASTIC_PORT=<port_you_want_to_run_server_on>
+export HASTIC_ALERT_ENDPOINT=http://alert.example.com
+
+cd hastic-server/server
+npm start
 ```
 
 

README.md

@@ -18,8 +18,15 @@ API key role needs only `Viewer` access.
 
 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=<your_grafana_api_key> hastic-server
 ```
 
@@ -35,10 +42,10 @@ You can export following environment variables for hastic-server to use:
 
 You need in your system:
 * [nodejs >= 6.0.0](https://nodejs.org/en/download/package-manager/)
-* [python3 python3-pip](https://www.python.org/downloads/)
+* [python3](https://www.python.org/downloads/) with pip3
 * curl gnupg git make g++
 
-### Intallation
+#### Intallation
 ```bash
 pip3 install pandas seglearn scipy tsfresh
 
@@ -46,13 +53,12 @@ git clone https://github.com/hastic/hastic-server.git
 cd ./hastic-server/server
 npm install 
 npm run build
-
 ```
 
-### Run
+#### Run
 ```bash
-$ export HASTIC_API_KEY=<your_grafana_api_key>
-$ export HASTIC_PORT=<port_you_want_to_run_server_on>
+export HASTIC_API_KEY=<your_grafana_api_key>
+export HASTIC_PORT=<port_you_want_to_run_server_on>
 
 cd ./hastic-server/server
 npm start