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-rw-r--r--agl_service_voiceagent/servicers/voice_agent_servicer.py136
1 files changed, 122 insertions, 14 deletions
diff --git a/agl_service_voiceagent/servicers/voice_agent_servicer.py b/agl_service_voiceagent/servicers/voice_agent_servicer.py
index c9b671d..0027c96 100644
--- a/agl_service_voiceagent/servicers/voice_agent_servicer.py
+++ b/agl_service_voiceagent/servicers/voice_agent_servicer.py
@@ -14,7 +14,7 @@
# See the License for the specific language governing permissions and
# limitations under the License.
-import grpc
+import json
import time
import threading
from agl_service_voiceagent.generated import voice_agent_pb2
@@ -98,14 +98,26 @@ class VoiceAgentServicer(voice_agent_pb2_grpc.VoiceAgentServiceServicer):
response = voice_agent_pb2.ServiceStatus(
version=self.service_version,
- status=True
+ status=True,
+ wake_word=self.wake_word,
)
+
+ # Convert the response object to a JSON string and log it
+ response_data = {
+ "version": self.service_version,
+ "status": True,
+ "wake_word": self.wake_word,
+ }
+ response_json = json.dumps(response_data)
+ self.logger.info(f"[ReqID#{request_id}] Returning response to client {client_ip} from CheckServiceStatus end-point. Response: {response_json}")
+
return response
def DetectWakeWord(self, request, context):
"""
- Detect the wake word using the wake word detection model.
+ Detect the wake word using the wake word detection model. This method records voice on server side. If your client
+ and server are not on the same machine, then you should use the `S_DetectWakeWord` method instead.
"""
# Log the unique request ID, client's IP address, and the endpoint
request_id = generate_unique_uuid(8)
@@ -131,11 +143,14 @@ class VoiceAgentServicer(voice_agent_pb2_grpc.VoiceAgentServiceServicer):
def RecognizeVoiceCommand(self, requests, context):
"""
- Recognize the voice command using the STT model and extract the intent using the NLU model.
+ Recognize the voice command using the STT model and extract the intent using the NLU model. This method records voice
+ on server side, meaning the client only sends a START and STOP request to the server. If your client and server are
+ not on the same machine, then you should use the `S_RecognizeVoiceCommand` method instead.
"""
stt = ""
intent = ""
intent_slots = []
+ log_intent_slots = []
for request in requests:
if request.record_mode == voice_agent_pb2.MANUAL:
@@ -182,9 +197,11 @@ class VoiceAgentServicer(voice_agent_pb2_grpc.VoiceAgentServiceServicer):
if not intent or intent == "":
status = voice_agent_pb2.INTENT_NOT_RECOGNIZED
-
- for action, value in intent_actions.items():
- intent_slots.append(voice_agent_pb2.IntentSlot(name=action, value=value))
+
+ else:
+ for action, value in intent_actions.items():
+ intent_slots.append(voice_agent_pb2.IntentSlot(name=action, value=value))
+ log_intent_slots.append({"name": action, "value": value})
elif request.nlu_model == voice_agent_pb2.RASA:
extracted_intent = self.rasa_interface.extract_intent(stt)
@@ -193,8 +210,13 @@ class VoiceAgentServicer(voice_agent_pb2_grpc.VoiceAgentServiceServicer):
if not intent or intent == "":
status = voice_agent_pb2.INTENT_NOT_RECOGNIZED
- for action, value in intent_actions.items():
- intent_slots.append(voice_agent_pb2.IntentSlot(name=action, value=value))
+ else:
+ for action, value in intent_actions.items():
+ intent_slots.append(voice_agent_pb2.IntentSlot(name=action, value=value))
+ log_intent_slots.append({"name": action, "value": value})
+
+ else:
+ status = voice_agent_pb2.NLU_MODEL_NOT_SUPPORTED
else:
stt = ""
@@ -216,17 +238,95 @@ class VoiceAgentServicer(voice_agent_pb2_grpc.VoiceAgentServiceServicer):
stream_id=stream_uuid,
status=status
)
+
+ # Convert the response object to a JSON string and log it
+ response_data = {
+ "command": stt,
+ "intent": intent,
+ "intent_slots": log_intent_slots,
+ "stream_id": stream_uuid,
+ "status": status
+ }
+ response_json = json.dumps(response_data)
+ self.logger.info(f"[ReqID#{stream_uuid}] Returning {request.action} request response to client {client_ip} from RecognizeVoiceCommand end-point. Response: {response_json}")
+
+ return response
+
+
+ def RecognizeTextCommand(self, request, context):
+ """
+ Recognize the text command using the STT model and extract the intent using the NLU model.
+ """
+ intent = ""
+ intent_slots = []
+ log_intent_slots = []
+
+ stream_uuid = generate_unique_uuid(8)
+ text_command = request.text_command
+ status = voice_agent_pb2.REC_SUCCESS
+
+ # Log the unique request ID, client's IP address, and the endpoint
+ client_ip = context.peer()
+ self.logger.info(f"[ReqID#{stream_uuid}] Client {client_ip} made a request to RecognizeTextCommand end-point.")
+
+ if request.nlu_model == voice_agent_pb2.SNIPS:
+ extracted_intent = self.snips_interface.extract_intent(text_command)
+ intent, intent_actions = self.snips_interface.process_intent(extracted_intent)
+
+ if not intent or intent == "":
+ status = voice_agent_pb2.INTENT_NOT_RECOGNIZED
+
+ else:
+ for action, value in intent_actions.items():
+ intent_slots.append(voice_agent_pb2.IntentSlot(name=action, value=value))
+ log_intent_slots.append({"name": action, "value": value})
+
+ elif request.nlu_model == voice_agent_pb2.RASA:
+ extracted_intent = self.rasa_interface.extract_intent(text_command)
+ intent, intent_actions = self.rasa_interface.process_intent(extracted_intent)
+
+ if not intent or intent == "":
+ status = voice_agent_pb2.INTENT_NOT_RECOGNIZED
+
+ else:
+ for action, value in intent_actions.items():
+ intent_slots.append(voice_agent_pb2.IntentSlot(name=action, value=value))
+ log_intent_slots.append({"name": action, "value": value})
+
+ else:
+ status = voice_agent_pb2.NLU_MODEL_NOT_SUPPORTED
+
+ # Process the request and generate a RecognizeResult
+ response = voice_agent_pb2.RecognizeResult(
+ command=text_command,
+ intent=intent,
+ intent_slots=intent_slots,
+ stream_id=stream_uuid,
+ status=status
+ )
+
+ # Convert the response object to a JSON string and log it
+ response_data = {
+ "command": text_command,
+ "intent": intent,
+ "intent_slots": log_intent_slots,
+ "stream_id": stream_uuid,
+ "status": status
+ }
+ response_json = json.dumps(response_data)
+ self.logger.info(f"[ReqID#{stream_uuid}] Returning response to client {client_ip} from RecognizeTextCommand end-point. Response: {response_json}")
+
return response
- def ExecuteVoiceCommand(self, request, context):
+ def ExecuteCommand(self, request, context):
"""
Execute the voice command by sending the intent to Kuksa.
"""
# Log the unique request ID, client's IP address, and the endpoint
request_id = generate_unique_uuid(8)
client_ip = context.peer()
- self.logger.info(f"[ReqID#{request_id}] Client {client_ip} made a request to ExecuteVoiceCommand end-point.")
+ self.logger.info(f"[ReqID#{request_id}] Client {client_ip} made a request to ExecuteCommand end-point.")
intent = request.intent
intent_slots = request.intent_slots
@@ -238,7 +338,7 @@ class VoiceAgentServicer(voice_agent_pb2_grpc.VoiceAgentServiceServicer):
print(intent)
print(processed_slots)
- execution_list = self.mapper.parse_intent(intent, processed_slots)
+ execution_list = self.mapper.parse_intent(intent, processed_slots, req_id=request_id)
exec_response = f"Sorry, I failed to execute command against intent '{intent}'. Maybe try again with more specific instructions."
exec_status = voice_agent_pb2.EXEC_ERROR
@@ -285,15 +385,23 @@ class VoiceAgentServicer(voice_agent_pb2_grpc.VoiceAgentServiceServicer):
else:
exec_response = f"Uh oh, there is no value set for intent '{intent}'. Why not try setting a value first?"
- exec_status = voice_agent_pb2.EXEC_KUKSA_CONN_ERROR
+ exec_status = voice_agent_pb2.KUKSA_CONN_ERROR
else:
exec_response = "Uh oh, I failed to connect to Kuksa."
- exec_status = voice_agent_pb2.EXEC_KUKSA_CONN_ERROR
+ exec_status = voice_agent_pb2.KUKSA_CONN_ERROR
response = voice_agent_pb2.ExecuteResult(
response=exec_response,
status=exec_status
)
+ # Convert the response object to a JSON string and log it
+ response_data = {
+ "response": exec_response,
+ "status": exec_status
+ }
+ response_json = json.dumps(response_data)
+ self.logger.info(f"[ReqID#{request_id}] Returning response to client {client_ip} from ExecuteCommand end-point. Response: {response_json}")
+
return response