Replaced simple user:pass authentication in examples with JWT token

static/pages/Build-custom-voice-assistants.md

@@ -257,11 +257,13 @@ assistant.google.pushtotalk:
   procedures, or through the HTTP API:
 
 ```shell
-curl -XPOST -H 'Content-Type: application/json' -d '
+curl -XPOST \
+  -H "Authorization: Bearer $PP_TOKEN" \
+  -H 'Content-Type: application/json' -d '
 {
     "type":"request",
     "action":"assistant.google.pushtotalk.start_conversation"
-}' -a 'username:password' http://your-rpi:8008/execute
+}' http://your-rpi:8008/execute
 ```
 
 ### Features
@@ -335,11 +337,13 @@ assistant.echo:
   conversations programmatically through e.g. Platypush event hooks, procedures, or through the HTTP API:
 
 ```shell
-curl -XPOST -H 'Content-Type: application/json' -d '
+curl -XPOST \
+  -H "Authorization: Bearer $PP_TOKEN" \
+  -H 'Content-Type: application/json' -d '
 {
     "type":"request",
     "action":"assistant.echo.start_conversation"
-}' -a 'username:password' http://your-rpi:8008/execute
+}' http://your-rpi:8008/execute
 ```
 
 ### Features
@@ -537,14 +541,16 @@ backend.stt.deepspeech:
   `stt.deepspeech.stop_detection`. You can also use it to perform offline speech transcription from audio files:
 
 ```shell
-curl -XPOST -H 'Content-Type: application/json' -d '
+curl -XPOST \
+  -H "Authorization: Bearer $PP_TOKEN" \
+  -H 'Content-Type: application/json' -d '
 {
     "type":"request",
     "action":"stt.deepspeech.detect",
     "args": {
         "audio_file": "~/audio.wav"
     }
-}' -a 'username:password' http://your-rpi:8008/execute
+}' http://your-rpi:8008/execute
 
 # Example response
 {

static/pages/Detect-people-with-a-RaspberryPi-a-thermal-camera-Platypush-and-a-pinch-of-machine-learning.md

@@ -158,8 +158,10 @@ camera.ir.mlx90640:
 Restart the service, and if you haven't already create a user from the web interface at `http://your-rpi:8008`. You
 should now be able to take pictures through the API:
 
-```yaml
-curl -XPOST -H 'Content-Type: application/json' -d '
+```shell
+curl -XPOST \
+-H "Authorization: Bearer $PP_TOKEN" \
+-H 'Content-Type: application/json' -d '
 {
   "type":"request",
   "action":"camera.ir.mlx90640.capture",
@@ -167,7 +169,7 @@ curl -XPOST -H 'Content-Type: application/json' -d '
     "output_file":"~/snap.png",
     "scale_factor":20
   }
-}' -u 'username:password' http://localhost:8008/execute
+}' http://localhost:8008/execute
 ```
 
 If everything went well, the thermal picture should be stored under `~/snap.png`. In my case it looks like this while
@@ -473,7 +475,9 @@ the [`tensorflow.predict`](https://docs.platypush.tech/en/latest/platypush/plugi
 method:
 
 ```shell
-curl -XPOST -u 'user:pass' -H 'Content-Type: application/json' -d '
+curl -XPOST \
+-H "Authorization: Bearer $PP_TOKEN" \
+-H 'Content-Type: application/json' -d '
 {
   "type":"request",
   "action":"tensorflow.predict",

static/pages/How-to-build-your-personal-infrastructure-for-data-collection-and-visualization.md

@@ -804,12 +804,13 @@ python -m platypush.plugins.google.credentials \
 - With Platypush running, check the data sources that are available on your account:
 
 ```shell
-curl -XPOST -H 'Content-Type: application/json' -d '
+curl -XPOST \
+  -H "Authorization: Bearer $PP_TOKEN" \
+  -H 'Content-Type: application/json' -d '
    {
      "type":"request",
      "action":"google.fit.get_data_sources"
-   }' -u 'username:password' \
-   http://your-pi:8008/execute 
+   }' http://your-pi:8008/execute
 ```
 
 - Take note of the `dataStreamId` attributes of the metrics that you want to monitor and add them to the configuration

static/pages/Transform-a-RaspberryPi-into-a-universal-Zigbee-and-Z-Wave-bridge.md

@@ -223,7 +223,9 @@ code or through whichever platypush backend you have configured:
 
 ```shell
 # HTTP request
-curl -XPOST -a 'username:password' -H 'Content-Type: application/json' -d '
+curl -XPOST \
+  -H "Authorization: Bearer $PP_TOKEN" \
+  -H 'Content-Type: application/json' -d '
 {
   "type":"request",
   "action":"zigbee.mqtt.device_set",
@@ -306,7 +308,9 @@ on [Z-Wave events](https://docs.platypush.tech/en/latest/platypush/events/zwave.
 
 ```shell
 # HTTP request
-curl -XPOST -a 'username:password' -H 'Content-Type: application/json' -d '
+curl -XPOST \
+  -H "Authorization: Bearer $PP_TOKEN" \
+  -H 'Content-Type: application/json' -d '
 {
   "type":"request",
   "action":"zwave.get_value",

static/pages/Ultimate-self-hosted-automation-with-Platypush.md

@@ -168,12 +168,18 @@ light.hue:
 ```
 
 If you have the HTTP backend running, for example, you can easily dispatch such a request to it through the available
-JSON-RPC execute endpoint (after logging at least once at the control panel at `http://localhost:8008` and creating a
-user):
+JSON-RPC execute endpoint.
+
+First create a user through the web panel at `http://localhost:8008`, then generate a token for the user to authenticate
+the API calls - you can easily generate a token from the web panel itself, Settings -> Generate token.
+
+Store the token under an environment variable (e.g. `$PP_TOKEN`) and use it in your calls over the `Authorization: Bearer`
+header:
 
 ```shell
 # cURL example
-curl -XPOST -H 'Content-Type: application/json' -u 'username:password' \
+curl -XPOST -H 'Content-Type: application/json' \
+    -H "Authorization: Bearer $PP_TOKEN" \
     -d '{"type":"request", "action":"light.hue.on", "args": {"groups": ["Living Room", "Bedroom"]}}' \
     http://localhost:8008/execute
     
@@ -184,7 +190,7 @@ echo '{
   "args": {
     "groups": ["Living Room", "Bedroom"]
   }
-}' | http -a 'username:password' http://localhost:8008/execute
+}' | http http://localhost:8008/execute "Authorization: Bearer $PP_TOKEN"
 ```
 
 And you can also easily send requests programmatically through your own Python scripts, basically using Platypush as a
@@ -388,7 +394,8 @@ In both cases, you can call the procedure either from an event hook or directly
 
 ```shell
 # cURL example
-curl -XPOST -H 'Content-Type: application/json' -u 'username:password' \
+curl -XPOST -H 'Content-Type: application/json' \
+    -H "Authorization: Bearer $PP_TOKEN" \
     -d '{"type":"request", "action":"procedure.at_home"}' \
     http://localhost:8008/execute
 ```
@@ -604,8 +611,9 @@ If you enabled the HTTP backend then you may want to point your browser to `http
 Then you can test the HTTP backend by sending e.g. a `get_lights` command:
 
 ```shell
-curl -XPOST -u 'username:password' \
+curl -XPOST \
   -H 'Content-Type: application/json' \
+  -H "Authorization: Bearer $PP_TOKEN" \
   -d '{"type":"request", "action":"light.hue.get_lights"}' \
   http://localhost:8008/execute
 ```