Add voice_icon plugin

background.py

@@ -13,10 +13,12 @@ def main():
     "Main function"
     logging.basicConfig(level=logging.DEBUG)
     mycroft = MessageBusClient()
-    mycroft.run_in_thread()
     daemon = Daemon(config.OSD_URL, config.CAR_API_URL, mycroft)
     for plugin in plugins:
         daemon.register_plugin(plugin)
+    # Start mycroft after registering plugins so that an .on events by plugins
+    # get registered
+    mycroft.run_in_thread()
     while True:
         daemon.check_all()
         time.sleep(config.DELAY)

plugins/__init__.py

@@ -1,2 +1,4 @@
 from .fuel_check import FuelCheck
-plugins = [FuelCheck]
+from .air_bags import AirBags
+from .voice_icon import VoiceIcon
+plugins = [FuelCheck, AirBags, VoiceIcon]

plugins/fuel_check.py

@@ -21,7 +21,7 @@ class FuelCheck(DaemonPlugin):
         if ratio <= self.threshold:
             if self.last_message is None:
                 desc = f"Only {int(ratio)}% fuel left. Please refill the tank."
-                self.speak(desc)
+                self.speak(desc.replace("%", " percent"))
                 self.emit("switchPlugin", {
                     "plugin": "warning",
                     "data": {

plugins/voice_icon.py

@@ -0,0 +1,27 @@
+"Voice Icon"
+import time
+
+from daemon import DaemonPlugin
+
+class VoiceIcon(DaemonPlugin):
+    "Forwards Messages from message bus to OSD Frontend"
+
+    def initialize(self):
+        "Initialize plugin"
+        self.messagebus_client.on("recognizer_loop:wakeword", self.on_wakeword)
+        self.messagebus_client.on("recognizer_loop:record_end",
+                                  self.on_record_end)
+        self.messagebus_client.on("recognizer_loop:utterance",
+                                  self.on_utterance)
+
+    def check(self, data):
+        pass
+
+    def on_wakeword(self, message):
+        self.emit("voice:wakeword", {})
+
+    def on_record_end(self, message):
+        self.emit("voice:record_end", {})
+
+    def on_utterance(self, message):
+        self.emit("voice:utterance", {"text": message.data["utterances"][0]})