def parseStock(oneStock):
symbol = oneStock["symbol"]
data = getStockInfoData(stockInfoAPI, oneStock)
try:
#正常的操作#获取最新价格
oneStock['current'] = data[symbol]['current']
except:
#发生异常，执行这块代码
print '数据解析出错，可能是cookie问题，请尝试更新'
#获取股票的近季度的利润情况
oneStock['profit'] = FA.parseIncstatementData(symbol)
#获取pe
oneStock['pe_lyr'] = data[symbol]['pe_lyr']
oneStock['pe_ttm'] = data[symbol]['pe_ttm']
#获取最新pb
latestPB = data[symbol]['pb']
oneStock['latestPB'] = latestPB
#根据pb获取配置额度
money = getMoney(latestPB)
oneStock['canUseMoney'] = money
#是否可以继续配置
if money - oneStock['latestCost'] > 0:
canContinueBuy = True
oneStock['canContinueBuy'] = canContinueBuy
else:
canContinueBuy = False
oneStock['canContinueBuy'] = canContinueBuy
#如果可以配置的话，还能配置多少股
if canContinueBuy:
nowCanUse = money - oneStock['latestCost']
nowCanBuyStockNumber = nowCanUse / float(data[symbol]['current'])
nowCanBuyStockNumber = int(round(nowCanBuyStockNumber, 0))
nowCanBuyStockNumber2 = int(round(nowCanBuyStockNumber / 100)) * 100
oneStock['nowCanUse'] = nowCanUse
oneStock['nowCanBuyStockNumber'] = nowCanBuyStockNumber
oneStock['nowCanBuyStockNumber2'] = nowCanBuyStockNumber2
else:
oneStock['nowCanUse'] = 0
oneStock['nowCanBuyStockNumber'] = 0
oneStock['nowCanBuyStockNumber2'] = 0
def getAllData(page=0, stockArr=[]):
data = {"count": 1, "list": [{"symbol": symbolCode, "name": symbolCode}]}
arr = data["list"]
#在函数中使用全局变量需要这里声明
global dealNum
# 股票总条数
count = data["count"]
totalPages = int(math.ceil(count / 30))
#处理一页中，各个股票的数据
for one in arr:
#用来统计进度
dealNum = dealNum + 1
perc = round((dealNum / count), 3) * 100
name = one['name']
symbol = one['symbol']
print('您查询的股票是：' + name)
print(
'---------------------------------------------------------------------------------------------------------------'
)
#判断股票是否存在
# cursor = dataBase.getStock(symbol);
# if cursor.count()>=1:
# for document in cursor:
# oneStock = document
# print(name+u' 已经存在数据库中，不再处理')
# print('--------------------------------------------------------------------------------------------------------------- '+str(perc)+'%')
# stockArr.append(oneStock);
# continue
#非常核心的数据提炼部分1
lows = getLowPriceArr(symbol, 6)
#这里使用第2个接口
#提炼低点占比
percents = getSellPercent(lows)
#提炼低点占比
continueDays = lows[2]
continueDaysText = lows[3]
#提炼最近一天涨跌百分比 和 连续几天的涨跌百分比
upOrDownPercent = lows[4]
upOrDownContinuePercent = lows[5]
#非常核心的数据提炼部分2
info = getStockInfoData(stockInfoAPI, config3, symbol)
#这里使用第3个接口
#需要再增加一个key,用来排序
averagePrecent = percents[1]
#需要再增加一个key,用来排序
lastPrecent = percents[0][0]
#新增 停牌信息
halt = info['halt']
#新增 财务分析
cashFlow = FA.parseCfstatementData(symbol)
profit = FA.parseIncstatementData(symbol)
#新增 名字（本来是第一个接口中就有的，因为改了，所以再获取下）
nameStr = info['nameStr']
#完成一个完整的股票分析
oneStock = Stock(
name,
symbol,
lows,
percents,
info,
averagePrecent,
lastPrecent,
continueDays,
continueDaysText,
upOrDownPercent,
upOrDownContinuePercent,
halt,
cashFlow,
profit,
nameStr,
)
#屏幕输出
print(u"【" + oneStock['nameStr'] + u"】")
print(oneStock['lows'][3].encode("utf-8") + ',合计涨/跌百分比：' +
str(oneStock['lows'][5]) + '%，当天' + str(oneStock['lows'][4]) +
'%')
print('推荐购买' + str(oneStock['info']['buyNum2']) + '(' +
str(oneStock['info']['buyNum']) + ')')
print('成本为 ' + str(oneStock['info']['buyNum2'] * oneStock['lows'][1]) +
' 元(每股 ' + str(oneStock['lows'][1]) + ')')
print('【PB/TTM/LYR】' + str(oneStock['info']['pb']) + '/' +
str(oneStock['info']['pe_ttm']) + '/' +
str(oneStock['info']['pe_lyr']))
print('【EPS/每股净资产/ROE（季）/ROE（年）】' + str(oneStock['info']['eps']) +
'/' + str(oneStock['info']['net_assets']) + '/' +
str(oneStock['info']['roe'])) + '%/' + str(
oneStock['info']['roe2']) + '%'
print('N年内低点 ' + str(oneStock['lows'][0]))
print('N年内卖点占比 ' + str(oneStock['percents'][0]) + '，平均 ' +
str(oneStock['percents'][1]))
print('总股本' + str(oneStock['info']['totalShares2']) + '亿')
print('最近季度利润' + str(oneStock['profit'][1]) + '亿')
print(oneStock['profit'][0])
print(oneStock['cashFlow'][0])
print(oneStock['cashFlow'][1])
print(oneStock['cashFlow'][2])
print(
'--------------------------------------------------------------------------------------------------------------- '
+ str(perc) + '%')
#保存到数据库
#dataBase.save(oneStock);
#并保存到全局对象中（这个其实没啥用呢）
#补充，现在有用了，最后的时候，用来作为全部数据导出到txt
#为什么不是和数据库存入一样，在每一次中完成，而选择了最后一次性处理
#因为主要是为了解决排序的问题
stockArr.append(oneStock)
return stockArr
def getAllData(page=0,stockArr=[]):
json = getScreenerData(screenerAPI,config,page); #这里使用第1个接口
try:
#正常的操作
data = Payload(json);
except:
#发生异常，执行这块代码
print '【xm】股票筛选接口崩坏！'
print json
if(~~hasattr(data,'list')==0):
print('获取数据的接口似乎有点问题哦=================> 请尝试更新cookie!');
arr = data.list;
#在函数中使用全局变量需要这里声明
global dealNum;
# 股票总条数
count = data.count;
totalPages = int(math.ceil(count/30))
if page == 0:
page = 1;
else:
page = page+1;
#处理一页中，各个股票的数据
for one in arr:
#用来统计进度
dealNum = dealNum + 1;
perc = round((dealNum/count),3)*100;
name = one['name'];
symbol = one['symbol'];
#白云山A，已经退市不在处理
if symbol=='SZ000522':
print('============ 已经退市，跳过！===========')
continue
#判断股票是否存在
cursor = dataBase.getStock(symbol);
if cursor.count()>=1:
for document in cursor:
oneStock = document
print(name+u' 已经存在数据库中，不再处理')
print('--------------------------------------------------------------------------------------------------------------- '+str(perc)+'%')
stockArr.append(oneStock);
continue
#非常核心的数据提炼部分1
lows = getLowPriceArr(symbol,6); #这里使用第2个接口
#提炼低点占比
percents = getSellPercent(lows);
#提炼低点占比
continueDays = lows[2];
continueDaysText = lows[3];
#提炼最近一天涨跌百分比 和 连续几天的涨跌百分比
upOrDownPercent = lows[4];
upOrDownContinuePercent = lows[5];
#非常核心的数据提炼部分2
info = getStockInfoData(stockInfoAPI,config3,symbol); #这里使用第3个接口
#需要再增加一个key,用来排序
averagePrecent = percents[1];
#需要再增加一个key,用来排序
lastPrecent = percents[0][0];
#新增 停牌信息
halt = info['halt']
#新增 财务分析
cashFlow = FA.parseCfstatementData(symbol)
profit = FA.parseIncstatementData(symbol)
messages = industryConfig.get(symbol) # Check for key existence
if messages is None: # Check if key is there, but None
industryId = 9999
industryName = "未分类"
else:
industryId = industryConfig[symbol]['id']
industryName = industryConfig[symbol]['industry']
messages2 = stockPoolConfig.get(symbol)
if messages2 is None:
stockPoolInfo = {}
else:
stockPoolInfo = stockPoolConfig[symbol]
#完成一个完整的股票分析
oneStock = Stock(
name,
symbol,
lows,
percents,
info,
averagePrecent,
lastPrecent,
continueDays,
continueDaysText,
upOrDownPercent,
upOrDownContinuePercent,
halt,
cashFlow,
profit,
industryId,
industryName,
stockPoolInfo,
);
#屏幕输出
print(oneStock['name'])
print(oneStock['info'])
print(oneStock['lows'])
print(oneStock['percents'])
print(oneStock['continueDaysText'] + u'，合计涨/跌百分比：' + str(oneStock['upOrDownContinuePercent']) )
print(oneStock['profit'][0])
print(oneStock['cashFlow'][0])
print(oneStock['cashFlow'][1])
print(oneStock['cashFlow'][2])
print('--------------------------------------------------------------------------------------------------------------- '+str(perc)+'%')
#保存到数据库
dataBase.save(oneStock);
#并保存到全局对象中（这个其实没啥用呢）
#补充，现在有用了，最后的时候，用来作为全部数据导出到txt
#为什么不是和数据库存入一样，在每一次中完成，而选择了最后一次性处理
#因为主要是为了解决排序的问题
stockArr.append(oneStock);
if page<=totalPages:
getAllData(page,stockArr);
return stockArr;