65 lines
2.2 KiB
Python
65 lines
2.2 KiB
Python
import asyncio
|
||
|
||
|
||
async def workflow_agent_notify_flow(client, customer_id: str, acc_id: str, acc_type: str, system_hint: str):
|
||
"""图片处理完成后，让客服 AI 生成自然话术发给客户。"""
|
||
if not client.enable_agent or not client.agent:
|
||
return
|
||
try:
|
||
from core.pydantic_ai_agent import CustomerMessage
|
||
|
||
notify_msg = CustomerMessage(
|
||
msg_id="workflow_notify",
|
||
acc_id=acc_id,
|
||
msg=system_hint,
|
||
from_id=customer_id,
|
||
from_name="",
|
||
cy_id=customer_id,
|
||
acc_type=acc_type,
|
||
msg_type=0,
|
||
cy_name="",
|
||
)
|
||
response = await client.agent.process_message(notify_msg)
|
||
if response.should_reply and response.reply:
|
||
nonsense_patterns = [
|
||
"无需", "流程已完成", "不需要回复", "无需额外", "已完成",
|
||
"无需回复", "不需要额外", "已经完成", "无需再", "操作已完成",
|
||
"任务完成", "流程完成", "记录完成", "报价已",
|
||
]
|
||
if not any(p in response.reply for p in nonsense_patterns):
|
||
fake_data = {
|
||
"acc_id": acc_id,
|
||
"from_id": customer_id,
|
||
"from_name": "",
|
||
"cy_id": customer_id,
|
||
"acc_type": acc_type,
|
||
}
|
||
await asyncio.sleep(0.5)
|
||
await client.send_reply(fake_data, response.reply)
|
||
client.logger.info(f"[Workflow] AI 通知已发送: {response.reply}")
|
||
except Exception as e:
|
||
client.logger.error(f"[Workflow] AI 通知生成失败: {e}")
|
||
|
||
|
||
async def workflow_send_flow(
|
||
client,
|
||
customer_id: str,
|
||
acc_id: str,
|
||
acc_type: str,
|
||
content: str,
|
||
msg_type: int = 0,
|
||
):
|
||
"""workflow 回调：图片AI完成后用此方法推送消息给客户。"""
|
||
msg = {
|
||
"msg_id": "",
|
||
"acc_id": acc_id,
|
||
"msg": content,
|
||
"from_id": customer_id,
|
||
"from_name": customer_id,
|
||
"cy_id": customer_id,
|
||
"acc_type": acc_type,
|
||
"msg_type": msg_type,
|
||
"cy_name": customer_id,
|
||
}
|
||
await client.send_message(msg)
|