File size: 8,171 Bytes
5669b22 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 | import asyncio
import json
from typing import Dict, Optional, Callable
import numpy as np
from fastapi import WebSocket
from loguru import logger
from ..chat_group import ChatGroupManager
from ..chat_history_manager import store_message
from ..service_context import ServiceContext
from .group_conversation import process_group_conversation
from .single_conversation import process_single_conversation
from .conversation_utils import EMOJI_LIST
from .types import GroupConversationState
from prompts import prompt_loader
async def handle_conversation_trigger(
msg_type: str,
data: dict,
client_uid: str,
context: ServiceContext,
websocket: WebSocket,
client_contexts: Dict[str, ServiceContext],
client_connections: Dict[str, WebSocket],
chat_group_manager: ChatGroupManager,
received_data_buffers: Dict[str, np.ndarray],
current_conversation_tasks: Dict[str, Optional[asyncio.Task]],
broadcast_to_group: Callable,
) -> None:
"""Handle triggers that start a conversation"""
metadata = None
if msg_type == "ai-speak-signal":
try:
# Get proactive speak prompt from config
prompt_name = "proactive_speak_prompt"
prompt_file = context.system_config.tool_prompts.get(prompt_name)
if prompt_file:
user_input = prompt_loader.load_util(prompt_file)
else:
logger.warning("Proactive speak prompt not configured, using default")
user_input = "Please say something."
except Exception as e:
logger.error(f"Error loading proactive speak prompt: {e}")
user_input = "Please say something."
# Add metadata to indicate this is a proactive speak request
# that should be skipped in both memory and history
metadata = {
"proactive_speak": True,
"skip_memory": True, # Skip storing in AI's internal memory
"skip_history": True, # Skip storing in local conversation history
}
await websocket.send_text(
json.dumps(
{
"type": "full-text",
"text": "AI wants to speak something...",
}
)
)
elif msg_type == "text-input":
user_input = data.get("text", "")
else: # mic-audio-end
user_input = received_data_buffers[client_uid]
received_data_buffers[client_uid] = np.array([])
images = data.get("images")
session_emoji = np.random.choice(EMOJI_LIST)
group = chat_group_manager.get_client_group(client_uid)
if group and len(group.members) > 1:
# Use group_id as task key for group conversations
task_key = group.group_id
if (
task_key not in current_conversation_tasks
or current_conversation_tasks[task_key].done()
):
logger.info(f"Starting new group conversation for {task_key}")
current_conversation_tasks[task_key] = asyncio.create_task(
process_group_conversation(
client_contexts=client_contexts,
client_connections=client_connections,
broadcast_func=broadcast_to_group,
group_members=group.members,
initiator_client_uid=client_uid,
user_input=user_input,
images=images,
session_emoji=session_emoji,
metadata=metadata,
)
)
else:
# Use client_uid as task key for individual conversations
current_conversation_tasks[client_uid] = asyncio.create_task(
process_single_conversation(
context=context,
websocket_send=websocket.send_text,
client_uid=client_uid,
user_input=user_input,
images=images,
session_emoji=session_emoji,
metadata=metadata,
)
)
async def handle_individual_interrupt(
client_uid: str,
current_conversation_tasks: Dict[str, Optional[asyncio.Task]],
context: ServiceContext,
heard_response: str,
):
if client_uid in current_conversation_tasks:
task = current_conversation_tasks[client_uid]
if task and not task.done():
task.cancel()
logger.info("🛑 Conversation task was successfully interrupted")
try:
context.agent_engine.handle_interrupt(heard_response)
except Exception as e:
logger.error(f"Error handling interrupt: {e}")
if context.history_uid:
store_message(
conf_uid=context.character_config.conf_uid,
history_uid=context.history_uid,
role="ai",
content=heard_response,
name=context.character_config.character_name,
avatar=context.character_config.avatar,
)
store_message(
conf_uid=context.character_config.conf_uid,
history_uid=context.history_uid,
role="system",
content="[Interrupted by user]",
)
async def handle_group_interrupt(
group_id: str,
heard_response: str,
current_conversation_tasks: Dict[str, Optional[asyncio.Task]],
chat_group_manager: ChatGroupManager,
client_contexts: Dict[str, ServiceContext],
broadcast_to_group: Callable,
) -> None:
"""Handles interruption for a group conversation"""
task = current_conversation_tasks.get(group_id)
if not task or task.done():
return
# Get state and speaker info before cancellation
state = GroupConversationState.get_state(group_id)
current_speaker_uid = state.current_speaker_uid if state else None
# Get context from current speaker
context = None
group = chat_group_manager.get_group_by_id(group_id)
if current_speaker_uid:
context = client_contexts.get(current_speaker_uid)
logger.info(f"Found current speaker context for {current_speaker_uid}")
if not context and group and group.members:
logger.warning(f"No context found for group {group_id}, using first member")
context = client_contexts.get(next(iter(group.members)))
# Now cancel the task
task.cancel()
try:
await task
except asyncio.CancelledError:
logger.info(f"🛑 Group conversation {group_id} cancelled successfully.")
current_conversation_tasks.pop(group_id, None)
GroupConversationState.remove_state(group_id) # Clean up state after we've used it
# Store messages with speaker info
if context and group:
for member_uid in group.members:
if member_uid in client_contexts:
try:
member_ctx = client_contexts[member_uid]
member_ctx.agent_engine.handle_interrupt(heard_response)
store_message(
conf_uid=member_ctx.character_config.conf_uid,
history_uid=member_ctx.history_uid,
role="ai",
content=heard_response,
name=context.character_config.character_name,
avatar=context.character_config.avatar,
)
store_message(
conf_uid=member_ctx.character_config.conf_uid,
history_uid=member_ctx.history_uid,
role="system",
content="[Interrupted by user]",
)
except Exception as e:
logger.error(f"Error handling interrupt for {member_uid}: {e}")
await broadcast_to_group(
list(group.members),
{
"type": "interrupt-signal",
"text": "conversation-interrupted",
},
)
|