def sendLocation():
usr('发送了定位')
tool_mysql_apply.updateUser('longitude', userLocation[0], 'wcid',
userID)
tool_mysql_apply.updateUser('latitude', userLocation[1], 'wcid',
userID)
sys('已更新您的位置')
txtMsg.delete('0.0', END) # type(txtMsg)='tkinter.Text'
def checkLocation(FromUserName):
# 检查或采集地理位置
location = tool_mysql_apply.getUserLocation(FromUserName)
if (location[0].replace('.', '').isdigit()
and location[1].replace('.', '').isdigit()):
# 最后一步 地理位置已采集。影响特征征集完毕。state置为4
# tool_mysql_apply.updateUser('state',4,'wcid',FromUserName)11111111111111111111111
return tool_rec.f(FromUserName)
else:
# 存储特征
tool_mysql_apply.updateUser('serverStr', "等待定位", 'wcid', FromUserName)
return '我们还不知道您的位置信息。为了更好的提供服务，请发送您的定位。'
def POST(self): #被动回复
try:
webData = web.data() #type(webData)=bytes
# print("Handle Post webdata is ", webData)#打印xml字节流
recMsg = receive.parse_xml(
webData
) #type(recMsg)=【receive.TextMsg】or【receive.ImageMsg】or【NoneType】
if isinstance(recMsg, receive.Msg): #type(recMsg)不为NoneType
toUser = recMsg.FromUserName
fromUser = recMsg.ToUserName
createTime = recMsg.CreateTime
if recMsg.MsgType == 'text':
content = deal.dealTxt(toUser, createTime, recMsg.Content)
elif recMsg.MsgType == 'image':
content = "已收到图片"
elif recMsg.MsgType == 'video':
content = "已收到视频"
elif recMsg.MsgType == 'voice':
content = "已收到语音"
elif recMsg.MsgType == 'link':
content = "已收到链接"
elif recMsg.MsgType == 'location':
longitude = str(webData).split('<Location_Y>')[1].split(
'</Location_Y>')[0]
latitude = str(webData).split('<Location_X>')[1].split(
'</Location_X>')[0]
print(longitude, latitude)
tool_mysql_apply.updateUser('longitude', longitude, 'wcid',
toUser)
tool_mysql_apply.updateUser('latitude', latitude, 'wcid',
toUser)
content = "已更新您的位置"
else:
content = recMsg.MsgType
replyMsg = reply.TextMsg(toUser, fromUser, content)
# test 打印用户特征 (影响速度)
usrdf = tool_mysql_apply.getUser(toUser)
if (usrdf.__len__() > 0):
userdt = eval(usrdf.ix[0][3])
print(
json.dumps(userdt,
sort_keys=False,
indent=4,
ensure_ascii=False))
return replyMsg.send()
else: #type(recMsg)为NoneType
print("NoneType")
return "success"
except Exception as e:
print('e-->', e)
return e
def affectCha(defaultStr, characteristics, sickness, FromUserName):
# 取患者特征集A{}
A = characteristics
df_sickness = tool_mysql_apply.getSicknessByName(sickness)
# 取疾病影响特征集B[]
B = eval(df_sickness.ix[0][4])
# 取差集B - A
for i2 in B: # i[0] i[1]
if (i2 not in A):
# 存储特征
tool_mysql_apply.updateUser('serverStr', i2, 'wcid', FromUserName)
# 返回问题
return defaultStr + tool_mysql_apply.getQuestion(i2)
# 差集为空集 特征征集完毕
#检查或采集地理位置
return checkLocation(FromUserName)
def symptomCha(dt, characteristics, df_sickness, FromUserName):
# 取患者特征集A{}
A = characteristics
# 按条处理疾病。
for i in range(df_sickness.__len__()):
dt_sickness = [j for j in df_sickness.ix[i]]
# 取疾病症状特征集B[]
B = eval(dt_sickness[3])
# 取差集B - A
for i2 in B: # i[0] i[1] i[2]
if (i2[0] not in A):
# 存储特征
tool_mysql_apply.updateUser('serverStr', i2[0], 'wcid',
FromUserName)
# 返回问题
return tool_mysql_apply.getQuestion(i2[0])
else: # 跳过当前疾病？
if (False):
break
# 差集为空集 特征征集完毕
# 寻找最可能疾病
similarity = []
for x in range(df_sickness.__len__()):
dt_sickness = [j for j in df_sickness.ix[x]]
vec_user = []
vec_sick = []
for i in eval(dt_sickness[3]):
if (i[0] in A):
vec_sick.append(i[1])
vec_user.append(A.get(i[0]))
similarity.append(tool_similarity.sim_cos(vec_sick, vec_user))
log_blue('similarities:' + str(similarity))
index = 0
max = similarity[0]
for i in range(df_sickness.__len__()):
if (similarity[i] > max):
max = similarity[i]
index = i
# tool_mysql_apply.del_user(FromUserName)
# return '初筛疾病失败！信息已重置'
sickness = df_sickness.ix[index][1]
# 记录患者疾病
characteristics = eval(dt[3]) # str转{}
characteristics['sickness'].append(sickness)
dt[3] = str(characteristics)
tool_mysql_apply.updateUser('characteristics', str(characteristics),
'wcid', FromUserName)
# state置为3
tool_mysql_apply.updateUser('state', 3, 'wcid', FromUserName)
#告知疾病 并进行针对该疾病的进一步特征补充
return affectCha('你可能患了' + sickness + '。', characteristics, sickness,
FromUserName)
def dealTxt(FromUserName, CreateTime, txt):
log_red("收到文本【" + txt + "】发送者【" + FromUserName + "】时间 " + CreateTime)
# 读取用户信息
df = tool_mysql_apply.getUser(FromUserName)
# 新用户判断
if (df.__len__() == 0):
log_blue('这是一个新用户，tbUser创建用户')
tool_mysql_apply.insertUser(
FromUserName
) #['testUser1', '', '', '{"sickness":[]}', '1','','医疗']
df = tool_mysql_apply.getUser(FromUserName)
# 获取用户信息
dt = [
i for i in df.ix[0]
] # dt[] 0 wcid 1 longitude 2 latitude 3 characteristics 4 state 5 serverStr 6 mode
#判断mode
mode = dt[6]
#是否需要切换mode
if (txt in ['聊天', '闲聊']):
tool_mysql_apply.updateUser('mode', '聊天', 'wcid', FromUserName)
return '已切换到聊天模式'
if (txt in ['看病', '就医', '医疗']):
tool_mysql_apply.updateUser('mode', '医疗', 'wcid', FromUserName)
return '已切换到医疗模式'
if (txt == '天气'):
return robot.f(onlyNumLetter(FromUserName), txt)
if (txt.__contains__('收到不支持的消息类型')):
return '暂不支持该类型的消息~'
if (mode is None or mode == "聊天"):
return robot.f(onlyNumLetter(FromUserName), txt)
# 医疗
print('state:' + dt[4])
if (dt[4] == '1'):
if (len(txt) < 2 or txt in ['你好']):
return '请问有什么需要帮助？'
# 根据症状搜索相关疾病
# 同义词替换
synonym = {'牙疼': '牙痛', '头疼': '头痛', '发烧': '发热'}
if (txt in synonym):
txt = synonym.get(txt)
df_sickness = tool_mysql_apply.getSickness(txt)
num = df_sickness.__len__()
if (num == 0 or txt not in ['牙痛', '牙龈', '牙龈出血', '牙龈红肿', '口臭']): #暂时设置
return '没有相关信息，可以再描述下你的症状吗？'
else:
log_blue('查询到' + str(num) + '条相关疾病:')
print(df_sickness.iloc[:, [0, 1, 2]])
# 记录患者症状
characteristics = eval(dt[3]) #str转{}
characteristics['symptom'].append(txt)
dt[3] = str(characteristics)
tool_mysql_apply.updateUser('characteristics',
str(characteristics), 'wcid',
FromUserName)
# state置为2
tool_mysql_apply.updateUser('state', 2, 'wcid', FromUserName)
#补充symptomCha
return symptomCha(dt, characteristics, df_sickness, FromUserName)
elif (dt[4] == '2'):
# 记录上个问题的答案
answer = ''
if (txt in ['是的', '会', '是', '嗯', '对', '有']): #暂时规定：只能回答 肯定 或 否定 两极答案
answer = 10
elif (txt in ['不是', '不会', '没有', '不', '没有', '否', '没']):
answer = 0
else:
# 快捷回复
answer = tool_mysql_apply.getAnswer(dt[5], txt)
if (len(answer) > 4): #返回的是错误信息
return '我没有理解你说的。' + '(' + dt[5] + ')'
characteristics = eval(dt[3])
characteristics[dt[5]] = answer #新增特征
dt[3] = str(characteristics)
tool_mysql_apply.updateUser('characteristics', str(characteristics),
'wcid', FromUserName)
#补充symptomCha
df_sickness = tool_mysql_apply.getSickness(
characteristics['symptom'][0])
return symptomCha(dt, characteristics, df_sickness, FromUserName)
elif (dt[4] == '3'):
# 记录上个问题的答案
answer = ''
if (dt[5] == '出生年份'):
if (txt.isdigit() and '.' not in txt and 0 < int(txt) < 200):
answer = 2019 - int(txt)
else:
return '非法输入。（年龄）'
elif (dt[5] == '性别'):
if (txt in ['男', '女']):
answer = txt
else:
return '非法输入。(男，女）'
elif (dt[5] == '等待定位'):
return checkLocation(FromUserName)
elif (txt in ['是的', '会', '是', '嗯', '对', '有']): #暂时规定：只能回答 肯定 或 否定 两极答案
answer = 10
elif (txt in ['不是', '不会', '没有', '不', '没有', '否', '没']):
answer = 0
else:
# 快捷回复
answer = tool_mysql_apply.getAnswer(dt[5], txt)
if (answer == '未查到该快捷回复'):
return '我没有理解你说的。' + '(' + dt[5] + ')'
characteristics = eval(dt[3])
characteristics[dt[5]] = answer #新增特征
dt[3] = str(characteristics)
tool_mysql_apply.updateUser('characteristics', str(characteristics),
'wcid', FromUserName)
characteristics = eval(dt[3])
return affectCha('', characteristics, characteristics['sickness'][0],
FromUserName)
# default
if "/:" in txt:
return "微信表情"
a = ["你说啥", "好吧", "666"]
return a[random.randint(0, len(a) - 1)]