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import json
import time
from omagent_core.clients.devices.app.schemas import (CodeEnum, ContentStatus,
InteractionType,
MessageType)
from omagent_core.clients.input_base import InputBase
from omagent_core.engine.configuration.configuration import Configuration
from omagent_core.engine.http.models.workflow_status import running_status
from omagent_core.engine.orkes.orkes_workflow_client import (
OrkesWorkflowClient, workflow_client)
from omagent_core.services.connectors.redis import RedisConnector
from omagent_core.utils import registry
from omagent_core.utils.container import container
from omagent_core.utils.general import read_image
from omagent_core.utils.logger import logging
from omagent_core.utils.registry import registry
import os
@registry.register_component()
class AppInput(InputBase):
redis_stream_client: RedisConnector
def read_input(self, workflow_instance_id: str, input_prompt=""):
stream_name = f"{workflow_instance_id}_input"
group_name = "omappagent" # consumer group name
consumer_name = f"{workflow_instance_id}_agent" # consumer name
poll_interval: int = 1
if input_prompt is not None:
start_id = self._send_input_message(workflow_instance_id, input_prompt)
else:
current_timestamp = int(time.time() * 1000)
start_id = f"{current_timestamp}-0"
result = {}
# ensure consumer group exists
try:
self.redis_stream_client._client.xgroup_create(
stream_name, group_name, id="0", mkstream=True
)
except Exception as e:
logging.debug(f"Consumer group may already exist: {e}")
if not os.getenv("OMAGENT_MODE") == "lite":
logging.info(
f"Listening to Redis stream: {stream_name} in group: {group_name} start_id: {start_id}"
)
data_flag = False
while True:
try:
# logging.info(f"Checking workflow status: {workflow_instance_id}")
workflow_status = workflow_client.get_workflow_status(
workflow_instance_id
)
if workflow_status.status not in running_status:
logging.info(
f"Workflow {workflow_instance_id} is not running, exiting..."
)
break
# read new messages from redis stream
messages = self.redis_stream_client._client.xrevrange(
stream_name, max="+", min=start_id, count=1
)
# Convert byte data to string
messages = [
(
message_id,
{
k.decode("utf-8"): v.decode("utf-8")
for k, v in message.items()
},
)
for message_id, message in messages
]
# logging.info(f"Messages: {messages}")
for message_id, message in messages:
data_flag = self.process_message(message, result)
if data_flag:
break
# Sleep for the specified interval before checking for new messages again
# logging.info(f"Sleeping for {poll_interval} seconds, waiting for {stream_name} ...")
time.sleep(poll_interval)
except Exception as e:
logging.error(f"Error while listening to stream: {e}")
time.sleep(poll_interval) # Wait before retrying
return result
def process_message(self, message, result):
logging.info(f"Received message: {message}")
try:
payload = message.get("payload")
"""
{
"agent_id": "string",
"messages": [
{
"role": "string",
"content": [
{
"type": "string",
"data": "string"
}
]
}
],
"kwargs": {}
}
"""
# check payload data
if not payload:
logging.error("Payload is empty")
return False
try:
payload_data = json.loads(payload)
except json.JSONDecodeError as e:
logging.error(f"Payload is not a valid JSON: {e}")
return False
if "agent_id" not in payload_data:
logging.error("Payload does not contain 'agent_id' key")
return False
if "messages" not in payload_data:
logging.error("Payload does not contain 'messages' key")
return False
if not isinstance(payload_data["messages"], list):
logging.error("'messages' should be a list")
return False
for message in payload_data["messages"]:
if not isinstance(message, dict):
logging.error("Each item in 'messages' should be a dictionary")
return False
if "role" not in message or "content" not in message:
logging.error(
"Each item in 'messages' should contain 'role' and 'content' keys"
)
return False
if not isinstance(message["content"], list):
logging.error("'content' should be a list")
return False
for content in message["content"]:
if not isinstance(content, dict):
logging.error("Each item in 'content' should be a dictionary")
return False
if "type" not in content or "data" not in content:
logging.error(
"Each item in 'content' should contain 'type' and 'data' keys"
)
return False
message_data = json.loads(payload)
result.update(message_data)
except Exception as e:
logging.error(f"Error processing message: {e}")
return False
return True
def _send_input_message(self, agent_id, msg):
message_id = self._send_base_message(
agent_id,
CodeEnum.SUCCESS.value,
"",
0,
MessageType.TEXT.value,
msg,
ContentStatus.END_BLOCK.value,
InteractionType.INPUT.value,
0,
0,
)
return message_id
def _create_message_data(
self,
agent_id,
code,
error_info,
took,
msg_type,
msg,
content_status,
interaction_type,
prompt_tokens,
output_tokens,
):
message = {"role": "assistant", "type": msg_type, "content": msg}
usage = {"prompt_tokens": prompt_tokens, "output_tokens": output_tokens}
data = {
"agent_id": agent_id,
"code": code,
"error_info": error_info,
"took": took,
"content_status": content_status,
"interaction_type": int(interaction_type),
"message": message,
"usage": usage,
}
return {"payload": json.dumps(data, ensure_ascii=False)}
def _send_to_group(self, stream_name, group_name, data):
logging.info(f"Stream: {stream_name}, Group: {group_name}, Data: {data}")
message_id = self.redis_stream_client._client.xadd(stream_name, data)
try:
self.redis_stream_client._client.xgroup_create(
stream_name, group_name, id="0"
)
except Exception as e:
logging.debug(f"Consumer group may already exist: {e}")
return message_id
def _send_base_message(
self,
agent_id,
code,
error_info,
took,
msg_type,
msg,
content_status,
interaction_type,
prompt_tokens,
output_tokens,
):
stream_name = f"{agent_id}_output"
group_name = "omappagent" # replace with your consumer group name
data = self._create_message_data(
agent_id,
code,
error_info,
took,
msg_type,
msg,
content_status,
interaction_type,
prompt_tokens,
output_tokens,
)
message_id = self._send_to_group(stream_name, group_name, data)
return message_id
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