101 lines
4.7 KiB
Python
Executable File
101 lines
4.7 KiB
Python
Executable File
# coding=utf-8
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import os
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import time
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import sys
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import urllib
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import json
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import requests
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#import xmltodict
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# Demo示例，需要在具体项目具体场景下自行实现相关调用逻辑
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class XiaoMiNlu:
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def __init__(self):
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self.nlpUrl = 'http://39.106.157.134:8110/chatbot/chat/ivr?'
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self.appId = 402
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def makeUrl(self, sessionId, asrResult, asrBeginTime, asrEndTime, emotionValue, vendorParams):
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#http://39.106.157.134:8110/chatbot/chat/ivr?AppId=402&Utterance=%E4%BD%A0%E5%A5%BD&VendorParam={%22index%22:%221%22}&SessionId=ee8a166cd1cc4bab
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url = self.nlpUrl + "AppId=" + str(self.appId) + "&Utterance=" + urllib.quote(asrResult)
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if sessionId is not None and sessionId != "":
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url = url + "&SessionId=" + sessionId
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if vendorParams is not None and vendorParams != "":
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#按需将 k1=v1;k2=v2;k3=v3的形式转成json格式(云小蜜调用要求)
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items = vendorParams.split(';')
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d = dict()
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for item in items:
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key,value = item.split('=')
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d[key] = value
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url = url + "&VendorParam=" + json.dumps(d)
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return url
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def request(self, ssionId, asrResult, asrBeginTime, asrEndTime, emotionValue, vendorParams):
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url = self.makeUrl(ssionId, asrResult, asrBeginTime, asrEndTime, emotionValue, vendorParams)
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req = requests.get(url)
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if(req.status_code != 200):
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print req.text
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print "ERROR url(%s), request Fail(%d)" % (url, req.status_code)
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return ""
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'''
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{
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"SessionId": "123f",
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"MessageId": "601762b2951e4a2381e26ec0a2703fc7",
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"Messages": [
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{
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"Type": "Text",
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"Text": {
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"Content": "{\"INTEL_CUST_HEAD\":{\"RESP_DESC\":\"\",\"APP_ID\":\" \",\"RESP_CODE\":\"\",\"TIMESTAMP\":\"\",\"TRANS_ID\":\"\"},\"INTEL_CUST_BODY\":{\"RESP_DESC\":\"\",\"OPERTYPE\":\"0\",\"RESP_CODE\":\"0000\",\"BROADCAST1\":\"engine \",\"INTERRUPT1\":\"\"}}",
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"AnswerSource": "ChitChat"
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}
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}
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]
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}
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'''
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# 按需对NLU的返回进行解析，获取需要关注的内容并打包为xml格式返回：此处示例只获取"Messages->Text->Content"字段对应的值
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print "result = ", req.text
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jss = json.loads(req.text.encode('utf-8'))
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reply = ""
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if(jss.has_key('Messages') and jss['Messages'][0].has_key('Text')):
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result = jss['Messages'][0]['Text']
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if result.has_key('Content'):
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reply = result['Content'].encode('utf-8')
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# 把 json格式转为xml格式(MRCPSERVER和IVR交互时只有XML格式)
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reply_json = json.loads(reply)
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#print type(reply_json), reply_json
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#xmlstr = xmltodict.unparse(reply_json, full_document=False)
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xmlstr = "<f>fff</f>"
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#print "xmlstr = ", xmlstr
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return xmlstr
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def nluRequest(sessionId, asrResult, asrBeginTime, asrEndTime, emotionValue, vendorParams):
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print "python nluRequest = ", sessionId, asrResult, asrBeginTime, asrEndTime, emotionValue, vendorParams
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''' 需要NLU服务关注asrResult的取值范围：
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NO-MTACH : 检测到了语音(vad检测到了起始点)，但ASR并没有得到有效的结果，这种一般是客户声音过小、背景音过大、声音有能量但无法听到实际内容导致
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NO-INPUT-TIMEOUT : 无话超时，也即：用户侧没有说法，全是静音
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ASR-ERROR : 调用ASR进行识别，可能需要NLU服务进行兜底处理
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其他情况 : 用户语音的ASR识别结果
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'''
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if asrResult == "NO-MTACH":
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print "check speech, but no valid result!"
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elif asrResult == "NO-INPUT-TIMEOUT":
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print "check no speech, user may be not speak!"
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elif asrResult == "ASR-ERROR":
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print "call ASR failure, you should hold this!"
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else:
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print "check speech, and recognized success: ", asrResult
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#time.sleep(1)
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# 注意：一定要返回如下格式
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# 返回<k1>fff</k1>类似结构，该结构即是xml格式(去掉xml头))
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return "<key>value</key>"
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nlu = XiaoMiNlu()
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return nlu.request(sessionId, asrResult, asrBeginTime, asrEndTime, emotionValue, vendorParams)
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if __name__ == '__main__':
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print nluRequest("123f", "你好", 1234, 4569, 5, "ke=1;phone=123;callid=zxcvb"), "\n"
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print nluRequest("123f", "WELCOME", 1234, 4569, 0, "ke=1"), "\n"
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print nluRequest("123f", "NO-MTACH", 1234, 4569, 0, "ke=1"), "\n"
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print nluRequest("123f", "NO-INPUT-TIMEOUT", 1234, 1, 4569, "ke=1"), "\n"
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print nluRequest("123f", "ASR-ERROR", 1234, 4569, 0, ""), "\n"
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print "Game Over"
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