def test_post_customdict(self):
logging.info("创建自定义词典")
data = Data()
data.customdict = CustomDict(name=customDictVocab,
chatbotID=chatbot_id)
response = self.bot.postCustomDict(data)
logging.debug("response: %s", response)
def clean_up_bot(bot, chatbotID):
'''
删除指定BOT的数据
'''
# 删除意图
resp = bot.getIntents(Data(chatbotID=chatbotID,
pagesize=1000,
page=1))
if resp.intents and len(resp.intents) > 0:
for x in resp.intents:
# 删除意图，该接口会删除关联的意图说法和槽位
print("[clean_up_bot] remove intent %s" % x.name)
bot.delIntent(Data(id=x.id))
# 删除自定义词典
resp = bot.getCustomDicts(Data(chatbotID=chatbotID,
page=1,
pagesize=1000))
if resp.customdicts and len(resp.customdicts) > 0:
for x in resp.customdicts:
# 删除关联的词条和词典
print("[clean_up_bot] remove customdict %s" % x.name)
bot.delCustomDict(Data(chatbotID=chatbotID,
customdict=CustomDict(chatbotID=chatbotID, name=x.name)))
# 取消引用系统词典
resp = bot.mySysdicts(Data(chatbotID=chatbotID))
if resp.sysdicts and len(resp.sysdicts) > 0:
for x in resp.sysdicts:
print("[clean_up_bot] unref sysdict %s" % x.name)
bot.unrefSysDict(Data(chatbotID=chatbotID, sysdict=SysDict(name=x.name)))
def test_demo(self):
logging.info("示例程序")
'''
自定义词典
'''
# 创建自定义词典
data = Data()
data.customdict = CustomDict(name=customDictName, chatbotID=chatbot_id)
resp = self.bot.postCustomDict(data)
logging.info("postCustomDict response: %s", resp)
# 更新自定义词典
data = Data()
data.chatbotID = chatbot_id
data.customdict = CustomDict(name=customDictName, chatbotID=chatbot_id)
data.dictword = DictWord(word="西红柿", synonyms="狼桃;柿子;番茄")
resp = self.bot.putDictWord(data)
logging.info("putDictWord response: %s", resp)
# 引用系统词典
data = Data()
data.chatbotID = chatbot_id
data.sysdict = SysDict(name="@TIME")
resp = self.bot.refSysDict(data)
logging.info("refSysDict response: %s", resp)
'''
意图管理
'''
# 创建意图
data = Data()
data.intent = Intent(chatbotID=chatbot_id, name=intent_name)
resp = self.bot.postIntent(data)
logging.info("postIntent response: %s", resp)
# 创建意图槽位: 配菜
data = Data()
data.intent = Intent(chatbotID=chatbot_id, name=intent_name)
data.slot = IntentSlot(name="vegetable",
requires=True,
question="您需要什么配菜")
data.customdict = CustomDict(chatbotID=chatbot_id, name=customDictName)
resp = self.bot.postSlot(data)
logging.info("postSlot response: %s", resp)
# 创建意图槽位: 送达时间
data = Data()
data.intent = Intent(chatbotID=chatbot_id, name=intent_name)
data.slot = IntentSlot(name="date",
requires=True,
question="您希望什么时候用餐")
data.sysdict = SysDict(name="@TIME")
resp = self.bot.postSlot(data)
logging.info("postSlot response: %s", resp)
# 创建意图槽位: 送达位置
data = Data()
data.intent = Intent(chatbotID=chatbot_id, name=intent_name)
data.slot = IntentSlot(name="location",
requires=True,
question="外卖送到哪里")
resp = self.bot.postSlot(data)
logging.info("postSlot response: %s", resp)
# 添加意图说法
data = Data()
data.intent = Intent(chatbotID=chatbot_id, name=intent_name)
data.utter = IntentUtter(utterance="帮我来一份{vegetable}，送到{location}")
resp = self.bot.postUtter(data)
data.utter = IntentUtter(utterance="我想点外卖")
resp = self.bot.postUtter(data)
# logging.info("postUtter response: %s", resp)
'''
训练机器人
'''
data = Data()
data.chatbotID = chatbot_id
resp = self.bot.train(data)
logging.info("train response: %s", resp)
## 训练是一个常时间任务，进行异步反馈
while True:
sleep(3)
data = Data()
data.chatbotID = chatbot_id
resp = self.bot.status(data)
if resp.rc == 0:
break
'''
对话
'''
# 创建session
## 关于session的说明，参考 https://dwz.cn/wRFrELrq
data = Data()
data.session = ChatSession(
chatbotID=chatbot_id,
uid="py", # 用户唯一的标识
channel="testclient", # 自定义，代表该用户渠道由字母组成
branch="dev" # 测试分支，有连个选项：dev, 测试分支；pro，生产分支
)
sessionId = self.bot.putSession(data).session.id
logging.info("putSession response: %s", resp)
# 对话
data = Data()
data.session = ChatSession(id=sessionId)
text = "我想点外卖，来一份番茄"
logging.info("chat human: %s", text)
data.message = ChatMessage(textMessage=text)
resp = self.bot.chat(data)
logging.info("chat bot: %s \n 意图: %s", resp.message.textMessage,
resp.session)
text = "我想在下午三点用餐"
logging.info("chat human: %s", text)
data.message = ChatMessage(textMessage=text)
resp = self.bot.chat(data)
logging.info("chat bot: %s \n 意图: %s", resp.message.textMessage,
resp.session)
chatbotID = profile["chatbotID"]
'''
录入BOT数据
'''
# create bot
print("[connect] clause host %s, port %s" % (CL_HOST, CL_PORT))
bot = Client(CL_HOST, CL_PORT)
clean_up_bot(bot, chatbotID)
# create customdict
if "dicts" in profile:
for x in profile["dicts"]:
print("[create] dict name %s" % x["name"])
bot.postCustomDict(Data(customdict=CustomDict(name=x["name"], chatbotID=chatbotID, type=x["type"])))
# 词表词典
if x["type"] == "vocab" and "dictwords" in x:
[bot.putDictWord(Data(chatbotID=chatbotID,
customdict=CustomDict(name=x["name"]),
dictword=DictWord(word=y["word"],
synonyms=y["synonyms"] if "synonyms" in y else None))) for y in
x["dictwords"]]
# 正则表达式词典
if x["type"] == "regex" and "patterns" in x:
bot.putDictPattern(Data(customdict = CustomDict(name=x["name"],
chatbotID=chatbotID),
dictpattern = DictPattern(patterns = x["patterns"])))
def test_demo(self):
logging.info("示例程序")
'''
自定义词典
'''
# 创建自定义词典(词表类型)
data = Data()
data.customdict = CustomDict(name=customDictVocab,
chatbotID=chatbot_id,
type="vocab")
resp = self.bot.postCustomDict(data)
logging.info("postCustomDict response: %s", resp)
# 更新自定义词典
data = Data()
data.chatbotID = chatbot_id
data.customdict = CustomDict(name=customDictVocab,
chatbotID=chatbot_id)
data.dictword = DictWord(word="西红柿", synonyms="狼桃;柿子;番茄")
resp = self.bot.putDictWord(data)
logging.info("putDictWord response: %s", resp)
# 创建自定义词典(正则表达式类型)
data = Data()
data.customdict = CustomDict(name=customDictPattern,
chatbotID=chatbot_id,
type="regex")
resp = self.bot.postCustomDict(data)
logging.info("postCustomDict response: %s", resp)
# 定义正则表达式词典
data = Data()
data.customdict = CustomDict(name=customDictPattern,
chatbotID=chatbot_id)
data.dictpattern = DictPattern(patterns=[customDictPatternDef])
resp = self.bot.putDictPattern(data)
logging.info("putDictPattern response: %s", resp)
# 测试正则表达式词典
data = Data()
data.customdict = CustomDict(name=customDictPattern,
chatbotID=chatbot_id)
data.patterncheck = DictPatternCheck(input="我的订单是OR222,请送到清华西门。")
resp = self.bot.checkDictPattern(data)
logging.info("checkDictPattern response: %s", resp)
# 引用系统词典
data = Data()
data.chatbotID = chatbot_id
data.sysdict = SysDict(name="@TIME")
resp = self.bot.refSysDict(data)
logging.info("refSysDict response: %s", resp)
data = Data()
data.chatbotID = chatbot_id
data.sysdict = SysDict(name="@LOC")
resp = self.bot.refSysDict(data)
logging.info("refSysDict response: %s", resp)
'''
意图管理
'''
# 创建意图
data = Data()
data.intent = Intent(chatbotID=chatbot_id, name=intent_name)
resp = self.bot.postIntent(data)
logging.info("postIntent response: %s", resp)
# 创建意图槽位: 配菜
data = Data()
data.intent = Intent(chatbotID=chatbot_id, name=intent_name)
data.slot = IntentSlot(name="vegetable",
requires=True,
question="您需要什么配菜")
data.customdict = CustomDict(chatbotID=chatbot_id,
name=customDictVocab)
resp = self.bot.postSlot(data)
logging.info("postSlot response: %s", resp)
# 创建意图槽位：订单ID
data = Data()
data.intent = Intent(chatbotID=chatbot_id, name=intent_name)
data.slot = IntentSlot(name="orderId",
requires=True,
question="您的订单ID是什么？")
data.customdict = CustomDict(chatbotID=chatbot_id,
name=customDictPattern)
resp = self.bot.postSlot(data)
logging.info("postSlot response: %s", resp)
# 创建意图槽位: 送达时间
data = Data()
data.intent = Intent(chatbotID=chatbot_id, name=intent_name)
data.slot = IntentSlot(name="date",
requires=False,
question="您希望什么时候用餐")
data.sysdict = SysDict(name="@TIME")
resp = self.bot.postSlot(data)
logging.info("postSlot response: %s", resp)
# 创建意图槽位: 送达位置
data = Data()
data.intent = Intent(chatbotID=chatbot_id, name=intent_name)
data.slot = IntentSlot(name="location",
requires=True,
question="外卖送到哪里")
data.sysdict = SysDict(name="@LOC")
resp = self.bot.postSlot(data)
logging.info("postSlot response: %s", resp)
# 添加意图说法
data = Data()
data.intent = Intent(chatbotID=chatbot_id, name=intent_name)
data.utter = IntentUtter(utterance="帮我来一份{vegetable}，送到{location}")
resp = self.bot.postUtter(data)
data.utter = IntentUtter(utterance="我想点外卖")
resp = self.bot.postUtter(data)
data.utter = IntentUtter(utterance="我的订单是{orderId}，帮我送到{location}")
resp = self.bot.postUtter(data)
# logging.info("postUtter response: %s", resp)
'''
训练机器人
'''
data = Data()
data.chatbotID = chatbot_id
resp = self.bot.train(data)
logging.info("train response: %s", resp)
if resp.rc == 22:
sys.exit()
## 训练是一个长时间任务，进行异步反馈
while True:
sleep(3)
data = Data()
data.chatbotID = chatbot_id
resp = self.bot.status(data)
logging.info("train response: %s", resp)
if resp.rc == 0:
break
'''
对话
'''
# 创建session
## 关于session的说明，参考 https://dwz.cn/wRFrELrq
data = Data()
data.session = ChatSession(
chatbotID=chatbot_id,
uid="py", # 用户唯一的标识
channel="testclient", # 自定义，代表该用户渠道由字母组成
branch="dev" # 测试分支，有连个选项：dev, 测试分支；pro，生产分支
)
sessionId = self.bot.putSession(data).session.id
logging.info("putSession response: %s", resp)
# 对话
data = Data()
data.session = ChatSession(id=sessionId)
text = "我想点外卖，来一份番茄"
logging.info("chat human: %s", text)
data.message = ChatMessage(textMessage=text)
resp = self.bot.chat(data)
logging.info("chat bot: %s \n 意图: %s", resp.message.textMessage,
resp.session)
text = "我的订单是OR666，帮我送到知春路10号"
logging.info("chat human: %s", text)
data.message = ChatMessage(textMessage=text)
resp = self.bot.chat(data)
logging.info("chat bot: %s \n 意图: %s", resp.message.textMessage,
resp.session)