webchat / plugins /bdunit /bdunit.py
hhz520's picture
Upload 170 files
61517de
raw
history blame contribute delete
No virus
9.03 kB
# encoding:utf-8
import json
import os
import uuid
from uuid import getnode as get_mac
import requests
import plugins
from bridge.context import ContextType
from bridge.reply import Reply, ReplyType
from common.log import logger
from plugins import *
"""利用百度UNIT实现智能对话
如果命中意图,返回意图对应的回复,否则返回继续交付给下个插件处理
"""
@plugins.register(
name="BDunit",
desire_priority=0,
hidden=True,
desc="Baidu unit bot system",
version="0.1",
author="jackson",
)
class BDunit(Plugin):
def __init__(self):
super().__init__()
try:
conf = super().load_config()
if not conf:
raise Exception("config.json not found")
self.service_id = conf["service_id"]
self.api_key = conf["api_key"]
self.secret_key = conf["secret_key"]
self.access_token = self.get_token()
self.handlers[Event.ON_HANDLE_CONTEXT] = self.on_handle_context
logger.info("[BDunit] inited")
except Exception as e:
logger.warn("[BDunit] init failed, ignore ")
raise e
def on_handle_context(self, e_context: EventContext):
if e_context["context"].type != ContextType.TEXT:
return
content = e_context["context"].content
logger.debug("[BDunit] on_handle_context. content: %s" % content)
parsed = self.getUnit2(content)
intent = self.getIntent(parsed)
if intent: # 找到意图
logger.debug("[BDunit] Baidu_AI Intent= %s", intent)
reply = Reply()
reply.type = ReplyType.TEXT
reply.content = self.getSay(parsed)
e_context["reply"] = reply
e_context.action = EventAction.BREAK_PASS # 事件结束,并跳过处理context的默认逻辑
else:
e_context.action = EventAction.CONTINUE # 事件继续,交付给下个插件或默认逻辑
def get_help_text(self, **kwargs):
help_text = "本插件会处理询问实时日期时间,天气,数学运算等问题,这些技能由您的百度智能对话UNIT决定\n"
return help_text
def get_token(self):
"""获取访问百度UUNIT 的access_token
#param api_key: UNIT apk_key
#param secret_key: UNIT secret_key
Returns:
string: access_token
"""
url = "https://aip.baidubce.com/oauth/2.0/token?client_id={}&client_secret={}&grant_type=client_credentials".format(self.api_key, self.secret_key)
payload = ""
headers = {"Content-Type": "application/json", "Accept": "application/json"}
response = requests.request("POST", url, headers=headers, data=payload)
# print(response.text)
return response.json()["access_token"]
def getUnit(self, query):
"""
NLU 解析version 3.0
:param query: 用户的指令字符串
:returns: UNIT 解析结果。如果解析失败,返回 None
"""
url = "https://aip.baidubce.com/rpc/2.0/unit/service/v3/chat?access_token=" + self.access_token
request = {
"query": query,
"user_id": str(get_mac())[:32],
"terminal_id": "88888",
}
body = {
"log_id": str(uuid.uuid1()),
"version": "3.0",
"service_id": self.service_id,
"session_id": str(uuid.uuid1()),
"request": request,
}
try:
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=body, headers=headers)
return json.loads(response.text)
except Exception:
return None
def getUnit2(self, query):
"""
NLU 解析 version 2.0
:param query: 用户的指令字符串
:returns: UNIT 解析结果。如果解析失败,返回 None
"""
url = "https://aip.baidubce.com/rpc/2.0/unit/service/chat?access_token=" + self.access_token
request = {"query": query, "user_id": str(get_mac())[:32]}
body = {
"log_id": str(uuid.uuid1()),
"version": "2.0",
"service_id": self.service_id,
"session_id": str(uuid.uuid1()),
"request": request,
}
try:
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=body, headers=headers)
return json.loads(response.text)
except Exception:
return None
def getIntent(self, parsed):
"""
提取意图
:param parsed: UNIT 解析结果
:returns: 意图数组
"""
if parsed and "result" in parsed and "response_list" in parsed["result"]:
try:
return parsed["result"]["response_list"][0]["schema"]["intent"]
except Exception as e:
logger.warning(e)
return ""
else:
return ""
def hasIntent(self, parsed, intent):
"""
判断是否包含某个意图
:param parsed: UNIT 解析结果
:param intent: 意图的名称
:returns: True: 包含; False: 不包含
"""
if parsed and "result" in parsed and "response_list" in parsed["result"]:
response_list = parsed["result"]["response_list"]
for response in response_list:
if "schema" in response and "intent" in response["schema"] and response["schema"]["intent"] == intent:
return True
return False
else:
return False
def getSlots(self, parsed, intent=""):
"""
提取某个意图的所有词槽
:param parsed: UNIT 解析结果
:param intent: 意图的名称
:returns: 词槽列表。你可以通过 name 属性筛选词槽,
再通过 normalized_word 属性取出相应的值
"""
if parsed and "result" in parsed and "response_list" in parsed["result"]:
response_list = parsed["result"]["response_list"]
if intent == "":
try:
return parsed["result"]["response_list"][0]["schema"]["slots"]
except Exception as e:
logger.warning(e)
return []
for response in response_list:
if "schema" in response and "intent" in response["schema"] and "slots" in response["schema"] and response["schema"]["intent"] == intent:
return response["schema"]["slots"]
return []
else:
return []
def getSlotWords(self, parsed, intent, name):
"""
找出命中某个词槽的内容
:param parsed: UNIT 解析结果
:param intent: 意图的名称
:param name: 词槽名
:returns: 命中该词槽的值的列表。
"""
slots = self.getSlots(parsed, intent)
words = []
for slot in slots:
if slot["name"] == name:
words.append(slot["normalized_word"])
return words
def getSayByConfidence(self, parsed):
"""
提取 UNIT 置信度最高的回复文本
:param parsed: UNIT 解析结果
:returns: UNIT 的回复文本
"""
if parsed and "result" in parsed and "response_list" in parsed["result"]:
response_list = parsed["result"]["response_list"]
answer = {}
for response in response_list:
if (
"schema" in response
and "intent_confidence" in response["schema"]
and (not answer or response["schema"]["intent_confidence"] > answer["schema"]["intent_confidence"])
):
answer = response
return answer["action_list"][0]["say"]
else:
return ""
def getSay(self, parsed, intent=""):
"""
提取 UNIT 的回复文本
:param parsed: UNIT 解析结果
:param intent: 意图的名称
:returns: UNIT 的回复文本
"""
if parsed and "result" in parsed and "response_list" in parsed["result"]:
response_list = parsed["result"]["response_list"]
if intent == "":
try:
return response_list[0]["action_list"][0]["say"]
except Exception as e:
logger.warning(e)
return ""
for response in response_list:
if "schema" in response and "intent" in response["schema"] and response["schema"]["intent"] == intent:
try:
return response["action_list"][0]["say"]
except Exception as e:
logger.warning(e)
return ""
return ""
else:
return ""