# encoding:utf-8
import json
import os
import uuid
import requests
from bridge.context import ContextType
from bridge.reply import Reply, ReplyType
from common.log import logger
import plugins
from plugins import *
from uuid import getnode as get_mac
"""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", desc="Baidu unit bot system", version="0.1", author="jackson", desire_priority=0)
class BDunit(Plugin):
def __init__(self):
super().__init__()
try:
curdir = os.path.dirname(__file__)
config_path = os.path.join(curdir, "config.json")
conf = None
if not os.path.exists(config_path):
raise Exception("config.json not found")
else:
with open(config_path, "r") as f:
conf = json.load(f)
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: %s, ignore " % 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 ""