def OnHandleMsg(self, msg):
if (msg == None): return None
#必须有处理消息存在
strMsg = msg.get('msg', "")
if (strMsg != ""):
#拆分'\n'取行最大
lines = strMsg.split('\n')
nLen = 0
for x in lines:
nLength = len(x)
if (nLength > nLen): nLen = nLength
# nMax = myData.iif(nLen > 15, 40, 32)
nMax = myData.iif(nLen > 15, 32, 32)
#尾部标签
msgTag = msg.get('msgTag', "")
strTag = " --zxcRobot(" + msgTag + ") " + myData_Trans.Tran_ToTime_str(
None, '%H:%M:%S')
strTag = strTag.replace("()", "")
strTag = (nMax - len(strTag)) * " " + strTag
msg["msg"] = strMsg + "\n" + strTag
#消息管理器处理消息
self.usrMMsg.OnHandleMsg(msg)
return True
return None
def Done_Swap_MsgOut(self, msg, isGroup=False):
if (msg or len(msg) > 1):
myDebug.Debug("消息接收::", msg['Text'])
if (str(msg['Text']) == '[]'): return
if (msg.get('Type', "") == 'System'): return
#特殊消息处理
try:
destPath = ""
dtTime = myData_Trans.Tran_ToTime_byInt(
myData_Trans.To_Int(str(msg.get('CreateTime', 0))))
msgType = msg['MsgType']
if (msgType == 3): # 图片
destPath = self.dirPic + "Temps/" + msg.fileName
msg.download(destPath)
time.sleep(1)
elif (msgType == 49): # 文件
destPath = self.dirFile + "Temps/" + msg.fileName
msg.download(destPath)
time.sleep(1)
#组装消息内容
wxMsg = self.pMMsg.OnCreatMsg()
wxMsg['usrID'] = msg['User']['UserName']
wxMsg['usrName'] = msg['User']['NickName']
wxMsg['usrNameNick'] = msg['User']['RemarkName']
wxMsg['groupID'] = myData.iif(isGroup, msg['User']['UserName'],
"")
if (wxMsg['groupID'] != ""):
wxMsg['usrNameNick'] = msg['ActualNickName']
if (wxMsg['usrNameNick'] == ""):
if (msg['FromUserName'] == self.usrName):
wxMsg['usrNameNick'] = self.usrName_Alias
wxMsg['msgID'] = msg['MsgId']
wxMsg['msgType'] = msg['Type'].upper()
wxMsg['msg'] = msg['Text']
wxMsg['msgContent'] = msg.get('Content', '')
wxMsg['usrPlat'] = "wx"
wxMsg['msgTime'] = myData_Trans.Tran_ToTime_str(dtTime)
if (destPath != ""):
wxMsg['msg'] = destPath
#保存
if (msgType == 1 or msgType == 10002):
if (wxMsg['msg'] != ""):
self.swapOut.SwapData_Out(wxMsg)
except Exception as ex:
myError.Error(ex)
return
def setTime(self):
self.dtDay = myData_Trans.Tran_ToTime_str(None, "%Y-%m-%d") #当前天
self.startTime = myData_Trans.Tran_ToDatetime(self.dtDay +
" 9:26:30") #起始时间
self.endTime = myData_Trans.Tran_ToDatetime(self.dtDay +
" 11:30:30") #结束时间
self.endTime2 = myData_Trans.Tran_ToDatetime(self.dtDay +
" 15:16:00") #结束时间--收盘
self.timeIntervals = 0
#时间段监测
tNow = datetime.datetime.now()
if (tNow.hour > 15):
self.timeIntervals = 1
return (self.startTime < tNow and tNow < self.endTime2)
def _Done_Image(self, Text, msgID="", usrInfo={}):
#图片判别，只处理手机截图（图片行列比）
#提取图片内容,ORC通用识别
#Text = "E:\\myCode\\zxcProj\\src\\Zxc.Python\\zxcPy.All.Base\\Temps\\Images\\Test.png"
txtInfo = myAI_Baidu.ORC(Text, "", out_debug=False)
myDebug.Debug(str(txtInfo))
#按文字内容组合定义图片类型
dictInfos = {'收益率': "", '日期': ""}
num = txtInfo['wordText'].count('资产分析')
if (num >= 1):
# 使用文字匹配方式解析
year = myData_Trans.Tran_ToTime_str(None, "%Y")
if (txtInfo['wordText'].count('同花顺-资产分析') == 1): #同花顺截图
#'u中国联通令\n下午3:10\n64%\n同花顺-资产分析\n2019-01-01~2019-08-27\n分享\n本月\n近三月\n近半年\n今年\n近两年\n30.0%\n10.0%\n0.0%\n-10.0%\n01-01\n04-01\n07-01\n我上证○深证○创业板○上证50\nC沪深30中证500收益走势\n今年跑嬴上证指数\n23.03%\n我\n3940%\n上证\n16.37%\n深证\n30.43%\n创业板\n30.19%'
ind = txtInfo['words'].index('我')
if (ind > 0):
txt = txtInfo['words'][ind + 1]
dictInfos['收益率'] = float(txt.replace('%', "")) / 100
if (txt.count('.') == 0):
dictInfos['收益率'] = dictInfos['收益率'] / 100 #小数点未正确识别修正
# 提取日期
lst = [n for n in txtInfo['words'] if n.count(year) == 2]
if (len(lst) == 1):
times = lst[0].split('~')
if (times[0][0:10] == year + "-01-01"): #日期校检，必须当年开始
dictInfos['日期'] = myData_Trans.Tran_ToDatetime(
times[1], '%Y-%m-%d')
pass
else: #君弘截图
#'10:09:1l\n(80\n资产分析\n20190101~20190828\n今年收益率17.48%\n今日本月近三个月近半年今年2018\n30%\n20%\n2019.01.31\n我:-0.11\n10%\n上证:3.64%\n10%\n01.31\n03.29\n05.31\n07.31\n●我○上证深证○创业\n1.46%\n跑赢上证\n1.46%\n跑输深证\n-12.56%\n跑输创业\n-12.47%\n资产分析\n证券分析\n月度分析\n账单'
# 提取今年收益率
lst = [n for n in txtInfo['words'] if n.count('今年收益率') == 1]
if (len(lst) == 1):
txt = lst[0]
dictInfos['收益率'] = float(
txt.replace('今年收益率', "").replace('%', "")) / 100
if (txt.count('.') == 0):
dictInfos['收益率'] = dictInfos['收益率'] / 100 #小数点未正确识别修正
# 提取日期
lst = [n for n in txtInfo['words'] if n.count(year) == 2]
if (len(lst) == 1):
times = lst[0].split('~')
if (times[0][0:8] == year + "0101"): #日期校检，必须当年开始
dictInfos['日期'] = myData_Trans.Tran_ToDatetime(
times[1], '%Y%m%d')
pass
if (dictInfos['收益率'] == 0): return ""
# 修正日期为字符串、收益率格式等
usrName = usrInfo.get('usrNameNick', "")
usrProfit = dictInfos['收益率']
if (dictInfos.get('日期', "") != ""):
dictInfos['日期-前'] = myData_Trans.Tran_ToDatetime_str(
dictInfos['日期'] + datetime.timedelta(days=1), '%Y-%m-%d')
dictInfos['日期'] = myData_Trans.Tran_ToDatetime_str(
dictInfos['日期'], '%Y-%m-%d')
if (dictInfos.get('收益率', "") != ""):
dictInfos['收益率'] = str(
Decimal((usrProfit * 100)).quantize(Decimal('0.00'))) + "%"
#记录信息
pDB = gol._Get_Setting('zxcdbStockReturns')
lstQuery = pDB.Query("isDel==False && 日期>=" + dictInfos['日期-前'],
"日期", True)
if (len(lstQuery) > 0): return "" #必须比已有日期大
myDebug.Debug(
pDB.Add_Row(
{
'用户名': usrName,
'收益': usrProfit,
'日期': dictInfos['日期']
}, True))
#组装返回
lstR = pDB.Get_Ranks(usrName, True)
if (len(lstR) < 1):
return "@" + usrName + " 收益信息记录失败！当前收益率：" + dictInfos[
'收益率'] + "."
dicRand = lstR[0]
strRank = " 您的收益排名：第 " + dicRand['ranking'] + ", 收益率：" + dicRand[
'profit'] + " "
return "@" + usrName + " " + strRank
return ""
nDigit = myData.iif(bIndex, 3, 2)
strUnit = myData.iif(bIndex, "", "元")
price = myData.iif(bOpt == False, lstValue[1], lstValue[1] * 10000)
strMsg = self.name + "：" + str(round(price, nDigit)) + strUnit
#涨跌标识
dValue_N = self.priceRiseFall
strTag0 = myData.iif(dValue_N >=0, "涨", "跌")
strTag0 = myData.iif(dValue_N ==0, "平", strTag0)
dRF = dValue_N * 100
strMsg += ", " + strTag0 + str(round(dRF,2)) + "%."
return strMsg
#输出
def Print(self):
myDebug.Debug(self.toString())
myDebug.Debug(self.toJsonstr())
#主启动程序
if __name__ == "__main__":
pData = Data_Stock()
pData.name = "建设银行"
pData.date = myData_Trans.Tran_ToTime_str(None, "%Y-%m-%d")
pData.time = myData_Trans.Tran_ToTime_str(None, "%H:%M:%S")
pData.Print()