def printResult(connection, cursor, query_Result_Text):
print "Results Printing"
if(cursor.description == None):
connection.commit()
query_Result_Text.insert(INSERT, cursor.statusmessage)
else:
tabcolnames = [description[0] for description in cursor.description]
table = pylsytable(tabcolnames)
rows = cursor.fetchall()
tabcol_index = 0
row_num = 0
for i in rows:
row_num += 1
for each in i:
print str(each) + '\t',
table.append_data(tabcolnames[tabcol_index], str(each))
tabcol_index += 1
print
tabcol_index = 0
#printing large result set using pylsytable problem is solved
if row_num == 100: #a new table is created to print for every 100lines
query_Result_Text.insert(INSERT, table)
row_num = 0
table = pylsytable(tabcolnames)
if row_num != 0:
query_Result_Text.insert(INSERT, table)
connection.commit()
query_Result_Text.config(state=DISABLED)
def printResult(connection, cursor, query_Result_Text):
print "Results Printing"
if (cursor.description == None):
connection.commit()
query_Result_Text.insert(INSERT, cursor.statusmessage)
else:
tabcolnames = [description[0] for description in cursor.description]
table = pylsytable(tabcolnames)
rows = cursor.fetchall()
tabcol_index = 0
row_num = 0
for i in rows:
row_num += 1
for each in i:
print str(each) + '\t',
table.append_data(tabcolnames[tabcol_index], str(each))
tabcol_index += 1
print
tabcol_index = 0
#printing large result set using pylsytable problem is solved
if row_num == 100: #a new table is created to print for every 100lines
query_Result_Text.insert(INSERT, table)
row_num = 0
table = pylsytable(tabcolnames)
if row_num != 0:
query_Result_Text.insert(INSERT, table)
connection.commit()
query_Result_Text.config(state=DISABLED)
def printResult(conn, cur, result_Text):
print "Printing results"
colnames = [desc[0] for desc in cur.description]
table = pylsytable(colnames)
rows = cur.fetchall()
col_index = 0
row_num = 0
for i in rows:
row_num += 1
for each in i:
print str(each) + '\t',
table.append_data(colnames[col_index], str(each))
col_index += 1
print
col_index = 0
#solve the print problem of using pylsytable when the output data is too large
if row_num == 100: #every 100 lines, then we print a table, then create a new table
result_Text.insert(INSERT, table)
row_num = 0
table = pylsytable(colnames)
if row_num != 0:
result_Text.insert(INSERT, table)
conn.commit()
result_Text.config(state=DISABLED)
def printResult(conn, cur, result_Text):
print "Printing results"
colnames = [desc[0] for desc in cur.description]
table = pylsytable(colnames)
rows = cur.fetchall()
col_index = 0
row_num = 0
for i in rows:
row_num += 1
for each in i:
print str(each) + '\t',
table.append_data(colnames[col_index], str(each))
col_index += 1
print
col_index = 0
#solve the print problem of using pylsytable when the output data is too large
if row_num == 100: #every 100 lines, then we print a table, then create a new table
result_Text.insert(INSERT, table)
row_num = 0
table = pylsytable(colnames)
if row_num != 0:
result_Text.insert(INSERT, table)
conn.commit()
result_Text.config(state=DISABLED)
def __get_gudong_nums(self, s_code):
#股东人数变化
data = self.mysql.getRecord("SELECT * FROM s_stock_shareholdernum WHERE s_code='%s' order by enddate desc" % s_code)
print "SELECT * FROM s_stock_shareholdernum WHERE s_code='%s' order by enddate desc" % s_code
if len(data) > 0:
attributes = ["Time", "Peoples", "P_rate", "P_gu"]
table = pylsytable(attributes)
_time = []
_peoples = []
_p_rate = []
_p_gu = []
for x in range(0, len(data)):
if data[x]['enddate'] < 20141230:
continue
_time.append(data[x]['enddate'])
_peoples.append(data[x]['totalshamt'])
if data[x]['askshrto'] > 0:
_p_rate.append("\033[1;31;40m+%s\033[0m" % data[x]['askshrto'])
else:
_p_rate.append("\033[0;32;40m%s\033[0m" % data[x]['askshrto'])
_p_gu.append(data[x]['askavgsh'])
table.add_data("Time", _time)
table.add_data("Peoples", _peoples)
table.add_data("P_rate", _p_rate)
table.add_data("P_gu", _p_gu)
print(table.__str__())
def __get_gudong_nums(self, s_code):
#股东人数变化
data = self.mysql.getRecord(
"SELECT * FROM s_stock_shareholdernum WHERE s_code='%s' order by enddate desc"
% s_code)
print "SELECT * FROM s_stock_shareholdernum WHERE s_code='%s' order by enddate desc" % s_code
if len(data) > 0:
attributes = ["Time", "Peoples", "P_rate", "P_gu"]
table = pylsytable(attributes)
_time = []
_peoples = []
_p_rate = []
_p_gu = []
for x in range(0, len(data)):
if data[x]['enddate'] < 20141230:
continue
_time.append(data[x]['enddate'])
_peoples.append(data[x]['totalshamt'])
if data[x]['askshrto'] > 0:
_p_rate.append("\033[1;31;40m+%s\033[0m" %
data[x]['askshrto'])
else:
_p_rate.append("\033[0;32;40m%s\033[0m" %
data[x]['askshrto'])
_p_gu.append(data[x]['askavgsh'])
table.add_data("Time", _time)
table.add_data("Peoples", _peoples)
table.add_data("P_rate", _p_rate)
table.add_data("P_gu", _p_gu)
print(table.__str__())
def __get_daily_order(self, s_code):
opt_list = self.mysql.getRecord(
"SELECT * FROM `s_stock_fenbi_daily` WHERE s_code='%s' order by dateline desc"
% s_code)
#print "SELECT * FROM `s_stock_fenbi_daily` WHERE s_code='%s' order by dateline desc" % s_code
if len(opt_list):
attributes = ["Time", "Buy", "Sell", "All"]
table = pylsytable(attributes)
_time = []
_buy = []
_sell = []
_all = []
for x in range(0, len(opt_list)):
_time.append(opt_list[x]['dateline'])
_buy.append("%s/%s" %
(opt_list[x]['b_price'], opt_list[x]['b_hands']))
_sell.append("%s/%s" %
(opt_list[x]['s_price'], opt_list[x]['s_hands']))
_c = "{:.2f}".format((opt_list[x]['bs_count'] / 10000), '')
_all.append(_c)
table.add_data("Time", _time)
table.add_data("Buy", _buy)
table.add_data("Sell", _sell)
table.add_data("All", _all)
print(table.__str__())
def format_print(data):
attributes = dict_keys[1]
table = pylsytable(attributes)
for temp in data:
for i in range(len(temp)):
table.append_data(dict_keys[1][i], temp[dict_keys[0][i]])
print table
def xian_n():
attributes=["标题","内容","时间"]
table=pylsytable(attributes)
table.add_data("标题",[i['name'][0:5] for i in su])
table.add_data("内容",[i['pwd'][0:8] for i in su])
table.add_data("时间",[i['nid'][len(i['nid'])-8:len(i['nid'])] for i in su])
print(table)
def output_3():
global dic,dic2,input_0
b=['Nonterminal']
end_str=['id','+','*','(',')','$']
for i in end_str:
dic[i]=[' ',' ',' ',' ',' ']
dic2[i]=[[],[],[],[],[]]
b.extend(end_str)
table = pylsytable(b)
table.add_data('Nonterminal',follow_first.dic_key)
for key in follow_first.dic_key:
for i in follow_first.dic_first[key]:
if i!='e':
for line in follow_first.list_sum:
if key in line and line[len(line)-1]==key and line[len(line)-2]!='e':
n=0
s=''
list=[]
while n<len(line)-1:
s+=str(line[n])
list.append(str(line[n]))
n=n+1
sss=str(line[0])
if sss==i or (sss!=i and sss not in end_str):
# print sss
num=follow_first.dic_key.index(key)
dic[i][num]=(key+'->'+s)
dic2[i][num].extend(list)
# print dic2[i][num]
# print s
# print i,num,':',key+'->'+s
for strs in end_str:
for key in follow_first.dic_key:
if strs in follow_first.dic_follow[key] and strs not in follow_first.dic_first[key]:
if 'e' in follow_first.dic_first[key]:
num = follow_first.dic_key.index(key)
dic[strs][num]=(key+'-> e')
list_2=[key,'->','e']
dic2[strs][num].extend(list_2)
else:
num = follow_first.dic_key.index(key)
dic[strs][num] = ('synch')
dic2[strs][num]=['synch']
for strs in end_str:
table.add_data(strs,dic[strs])
t.Label(root, text="表达式的语法分析表构造完毕 ", justify=t.CENTER, font=ftt2).grid(sticky='W',row=9, column=0,columnspan=1)
t.Label(root, text="如果查看M[A,a]是synch,在继续分析时栈顶的非终结符号被弹出",justify=t.CENTER, font=ftt2).grid(sticky='W',row=9, column=1,columnspan=3)
t.Label(root, text=table, justify=t.CENTER, font=ft).grid(row=12, column=0, rowspan=8,columnspan=4)
u=t.StringVar()
u.set(' id + id * id')
input_0=u.get()
print input_0
t.Label(root, text="如果M[A,a]是error（相应的语法分析表条目为空时）",justify=t.CENTER, font=ftt2).grid(sticky='N', column=0,columnspan=3)
t.Label(root, text="预测语法分析过程->检测到错误",justify=t.CENTER, font=ftt2).grid(sticky='N', column=0,columnspan=3)
t.Entry(root, textvariable=u, state = 'normal').grid(row=23, column=0,sticky='N',columnspan=2)
t.Button(root, text="进行语法预测分析（包含错误恢复） √", width=32, command=analysis,default='active').grid(sticky='N', column=0,columnspan=2)
t.Label(root, text="文法表达式完全匹配成功，过程如右", justify=t.CENTER, font=ftt2).grid(sticky='N', column=0, columnspan=3)
label = t.Label(root, text='Copyright © 2017 ', font=ftt).grid(columnspan=2, column=0, rowspan=2, sticky='N')
label = t.Label(root, text='All rights reserved by Haocong ', font=ftt).grid(columnspan=2, column=0, rowspan=2, sticky='N')
def stock_bs_big_order(self):
dateline = sys.argv[2]
data = self.mysql.getRecord("SELECT * FROM `s_stock_fenbi_daily` WHERE `dateline` = %s AND (`b_10` > 1 or b_5 > 1 or b_7 >1) order by bs_count desc" % dateline)
stock = self.mysql.getRecord("select * from s_stock_list where 1")
self.stock_list = {}
show_five_order = 0
if len(sys.argv) == 4:
show_five_order = 1
for o in range(0, len(stock)):
tmp_code = stock[o]['s_code']
self.stock_list[tmp_code] = stock[o]
if len(data) > 0:
attributes = ["Name", "Chg", "Buy", "Sell", "All", "B3", "B5", "B7", "B10"]
table = pylsytable(attributes)
_name = []
_chg = []
_buy = []
_sell = []
_all = []
_b_3 = []
_b_5 = []
_b_7 = []
_b_10 = []
for o in range(0, len(data)):
ms = re.findall(re.compile(r'\*|N|ST|航空|银行'), self.stock_list[data[o]['s_code']]['name'])
if self.stock_list[data[o]['s_code']]['run_market'] > 15000000000 or self.stock_list[data[o]['s_code']]['listing_date'] == 0 or ms:
continue
if data[o]['bs_count'] < -80000000:
continue
_name.append("%s=%s" % (data[o]['s_code'], self.stock_list[data[o]['s_code']]['name']))
_chg.append(self.stock_list[data[o]['s_code']]['chg'])
_buy.append("%s=%s" % (data[o]['b_price'], data[o]['b_hands']))
_sell.append("%s=%s" % (data[o]['s_price'], data[o]['s_hands']))
_all.append("{:.2f}".format(data[o]['bs_count']/10000, ''))
_b_3.append("%s=%s" % (data[o]['b_3'], data[o]['s_3']))
_b_5.append("%s=%s" % (data[o]['b_5'], data[o]['s_5']))
_b_7.append("%s=%s" % (data[o]['b_7'], data[o]['s_7']))
_b_10.append("%s=%s" % (data[o]['b_10'], data[o]['s_10']))
if show_five_order:
print data[o]['s_code']
table.add_data("Name", _name)
table.add_data("Chg", _chg)
table.add_data("Buy", _buy)
table.add_data("Sell", _sell)
table.add_data("All", _all)
table.add_data("B3", _b_3)
table.add_data("B5", _b_5)
table.add_data("B7", _b_7)
table.add_data("B10", _b_10)
if show_five_order == 0:
print(table.__str__())
def test_squre_root():
while True:
attributes = ["a", "mysqrt(a)", "math.sqrt(a)", "diff"]
table = pylsytable(attributes)
a = ["1.0", "2.0", "3.0", "4.0", "5.0", "6.0", "7.0", "8.0", "9.0"]
for i in range(8):
m = mysqrt(a, 5)
n = math.sqrt(a)
y = abs(m - n)
table.add_data("a", a)
table.add_data("diff", y)
table.add_data("mysqrt(a)", m)
table.add_data("math.sqrt(a)", n)
table.create_table()
def audit_recording(argvs):
"""
audit users records
:param argvs:
:return:
"""
if '-u' in argvs:
user_name = argvs[argvs.index("-u") + 1]
else:
print_err("invalid usage, should be:\naudit_user -u <username>", logout=True)
return
# records = session.query(models.AuditLog).filter(
# models.AuditLog.user_id == (
# session.query(models.UserProfile.id).filter_by(username=user_name).first())).all().order_by(id).desc()
user_profile = session.query(models.UserProfile).filter_by(username=user_name).first()
if not user_profile:
print_err("Wrong username...", logout=True)
records = user_profile.audit_logs
logger.info(records)
msg = '''\033[32;1m
---------------------------------------All records of [%s] ---------------------------------------
\033[0m''' % user_name
print(msg)
if records:
attributes = ["UserName", "HostName", "IP", "Port", "RemoteUser", "ActionType", "CMD", "DateTime"]
table = pylsytable(attributes)
for record in records:
# record_list = [user_name,
# records[0].bind_host.host.hostname,
# records[0].bind_host.host.ip,
# records[0].bind_host.host.port,
# records[0].bind_host.remote_user,
# record.action_type.value,
# record.cmd,
# record.date
# ]
# print(record_list)
# table.append_data(attributes, record_list)
table.append_data("UserName", user_name)
table.append_data("HostName", records[0].bind_host.host.hostname)
table.append_data("IP", records[0].bind_host.host.ip)
table.append_data("Port", records[0].bind_host.host.port)
table.append_data("RemoteUser", records[0].bind_host.remote_user)
table.append_data("ActionType", record.action_type.value)
table.append_data("CMD", record.cmd)
table.append_data("DateTime", record.date)
logger.info(table)
else:
print("No records for %s" % user_name)
def __get_five_order(self, s_code):
data = self.mysql.getRecord(
"SELECT * FROM s_stock_runtime_snap WHERE s_code='%s' order by dateline desc"
% s_code)
if len(data) > 0:
attributes = ["Time", "Buy", "Sell"]
table = pylsytable(attributes)
_time = []
_buy = []
_sell = []
_has_days = []
_has_day_list = {}
_diff = []
for x in range(0, len(data)):
#最多有效期内的数据
if len(_time) > MAX_FIVE_ORDER_DAYS:
break
at = str(data[x]['date_str']).split(' ')
_day = at[0]
if _day not in _has_days:
_has_days.append(_day)
_has_day_list[_day] = 0
#一天最多显示次数
key = "%s=%s=%s" % (str(
data[x]['date_str'])[0:10], str(data[x]['b_amount'])[0:2],
str(data[x]['s_amount'])[0:2])
if key not in _diff:
_diff.append(key)
else:
continue
if _has_day_list[_day] == MAX_FIVE_ORDER_NUM:
continue
_has_day_list[_day] += 1
_time.append(data[x]['date_str'])
_buy.append(data[x]['b_amount'])
_sell.append(data[x]['s_amount'])
#print "\t===%s===B:%sW====S:%sW====" % (data[x]['date_str'], data[x]['b_amount'], data[x]['s_amount'])
table.add_data("Time", _time)
table.add_data("Buy", _buy)
table.add_data("Sell", _sell)
print(table.__str__())
def format_content(data):
attributes = ["Alarm_ID", "Name", "State", "Priority", "Reason"]
table = pylsytable(attributes)
Alarm_ID = data.get('alarm_id')
Name = data.get('alarm_name')
State = data.get('current')
Priority = data.get('severity')
# Alarm_condition = data.get('reason_data')
Reason = data.get('reason')
table.add_data("Alarm_ID", Alarm_ID)
table.add_data("Name", Name)
table.add_data("State", State)
table.add_data("Priority", Priority)
# table.add_data("Alarm_condition", Alarm_condition)
table.add_data("Reason", Reason)
return str(table)
def __get_five_order(self, s_code):
data = self.mysql.getRecord("SELECT * FROM s_stock_runtime_snap WHERE s_code='%s' order by dateline desc" % s_code)
if len(data) > 0:
attributes = ["Time", "Buy", "Sell"]
table = pylsytable(attributes)
_time = []
_buy = []
_sell = []
_has_days = []
_has_day_list = {}
_diff = []
for x in range(0, len(data)):
#最多有效期内的数据
if len(_time) > MAX_FIVE_ORDER_DAYS:
break
at = str(data[x]['date_str']).split(' ')
_day = at[0]
if _day not in _has_days:
_has_days.append(_day)
_has_day_list[_day] = 0
#一天最多显示次数
key = "%s=%s=%s" % (str(data[x]['date_str'])[0: 10], str(data[x]['b_amount'])[0: 2], str(data[x]['s_amount'])[0: 2])
if key not in _diff:
_diff.append(key)
else:
continue
if _has_day_list[_day] == MAX_FIVE_ORDER_NUM:
continue
_has_day_list[_day] += 1
_time.append(data[x]['date_str'])
_buy.append(data[x]['b_amount'])
_sell.append(data[x]['s_amount'])
#print "\t===%s===B:%sW====S:%sW====" % (data[x]['date_str'], data[x]['b_amount'], data[x]['s_amount'])
table.add_data("Time", _time)
table.add_data("Buy", _buy)
table.add_data("Sell", _sell)
print(table.__str__())
def formatPrint(self,cmsQueue,domainIpDict,wafQueue):
"""
格式化输出
"""
attributes=["id","domain","cms","waf","ip"]
table=pylsytable(attributes)
domainList = domainIpDict.keys()
cmsDict = self.queueToDict(cmsQueue)
wafDict = self.queueToDict(wafQueue)
for i in xrange(len(domainList)):
table.append_data("id", i+1)
for domain in domainList:
table.append_data("cms", cmsDict[domain])
table.append_data("domain", domain)
table.append_data("waf", wafDict[domain])
table.append_data("ip", domainIpDict[domain])
if self.options.file != None:
resultFile = open(self.options.file,'w')
resultFile.write(str(table))
time.sleep(0.1)
print "----------- result -----------"
print(table)
def lsPath(path=os.path.abspath('.')):
attributes = ["Mode", "Name", "Size", "Create", "Modify"]
table = pylsytable(attributes)
table.add_data("Mode", [])
table.add_data("Name", [])
table.add_data("Size", [])
table.add_data("Create", [])
table.add_data("Modify", [])
path = path.decode('utf-8')
if os.path.isdir(path):
files = os.listdir(path)
for f in files:
table.append_data("Name", [f])
stat = os.stat(os.path.join(path, f))
table.append_data("Mode", [modeFormat(stat.st_mode)])
table.append_data("Size", [sizeFormat(stat.st_size)])
table.append_data("Create", [timeFormat(stat.st_ctime)])
table.append_data("Modify", [timeFormat(stat.st_mtime)])
return table
else:
return "The path is not correct, please check it ！"
t4.append(value)
elif i==5:
t5.append(value)
elif i==6:
t6.append(value)
elif i==7:
t7.append(value)
elif i==8:
t8.append(value)
elif i==9:
t9.append(value)
elif i==10:
t10.append(value)
#print value.encode('utf-8')
c+=1
#bs4.element.NavigableString
title = [u"实时热点", u"热门电影", u"热门电视剧", u'热门综艺', u'热门动漫', u'热门小说', u'热门游戏', u'热门音乐', u'热门汽车', u'热门人物']
table = pylsytable(title)
table.add_data(u'实时热点',t1)
table.add_data(u"热门电影",t2)
table.add_data(u"热门电视剧",t3)
table.add_data(u"热门综艺",t4)
table.add_data(u"热门动漫",t5)
table.add_data(u"热门小说",t6)
table.add_data(u"热门游戏",t7)
table.add_data(u"热门音乐",t8)
table.add_data(u"热门汽车",t9)
table.add_data(u"热门人物",t10)
table._create_table()
print table
def setUp(self):
attributes = ["name", "age"]
self.table = pylsytable(attributes)
def gudong_change(self):
#股东减少排序
vtype = sys.argv[2]
show_five_order = 0
if len(sys.argv) == 4:
show_five_order = 1
if vtype == 'A':
#最后报告时间
end_date = 20161015
opt_list = self.mysql.getRecord("SELECT * FROM `s_stock_shareholdernum` WHERE bigid IN (SELECT bigid FROM s_stock_shareholdernum WHERE `enddate` >=%s AND totalshamt >300 and askshrto<0 ORDER BY enddate DESC ) ORDER BY askshrto ASC limit 1500" % end_date)
elif vtype == 2:
#当期时间
opt_list = []
elif vtype == 3:
#两连降
opt_list = []
elif vtype == 4:
#三连降
opt_list = []
stock = self.mysql.getRecord("select * from s_stock_list where 1")
stock_list = {}
for o in range(0, len(stock)):
tmp_code = stock[o]['s_code']
stock_list[tmp_code] = stock[o]
attributes = ["No", "Code", "Name", "Change", "All", "Gu", "Last"]
table = pylsytable(attributes)
_no = []
_code = []
_name = []
_chage = []
_all = []
_gu = []
_date = []
codes = []
i = 1
for k in range(0, len(opt_list)):
if opt_list[k]['s_code'] in codes:
continue
'''
季度选股使用
#市值大于150亿过滤,股数人数减少小于1000
_stock_info = stock_list[opt_list[k]['s_code']]
ms = re.findall(re.compile(r'\*|N|ST|航空|银行|钢铁|煤|药|酒|电力'), _stock_info['name'])
if _stock_info['run_market'] > 15000000000 or _stock_info['run_market'] < 1500000000 or ms:
continue
'''
if show_five_order == 1:
print opt_list[k]['s_code']
codes.append(opt_list[k]['s_code'])
_no.append(i)
_code.append(opt_list[k]['s_code'])
_name.append(stock_list[opt_list[k]['s_code']]['name'])
_chage.append(opt_list[k]['askshrto'])
_all.append(opt_list[k]['totalshamt'])
_gu.append(opt_list[k]['askavgsh'])
_date.append(opt_list[k]['enddate'])
i += 1
table.add_data("No", _no)
table.add_data("Code", _code)
table.add_data("Name", _name)
table.add_data("Change", _chage)
table.add_data("All", _all)
table.add_data("Gu", _gu)
table.add_data("Last", _date)
if show_five_order == 0:
print(table.__str__())
mfcc = np.transpose(librosa.feature.mfcc(wav, sr), [1, 0])
if len(mfcc) > wav_max_len:
wav_max_len = len(mfcc)
print("Done.")
return mfcc, wav_max_len
wav_path = './data/wav/train'
label_files = './data/doc/trans/train.word.txt'
wav_files = get_wav_files(wav_path)
wav_files, labels = get_wav_label(wav_files, label_files)
words_size, label_max_len, labels_vector = get_vocabulary(labels)
#mfcc, wav_max_len = get_mfcc(wav_files)
attributes = ["AttrName", "AttrValue"]
table = pylsytable(attributes)
AttrName = [
"Longest Speech", "Samples Number", "Vocabulary Size",
"Longest Sentence Word Number"
]
AttrValue = [wav_max_len, len(wav_files), words_size, label_max_len]
table.add_data("AttrName", AttrName)
table.add_data("AttrValue", AttrValue)
print(table)
pointer = 0
def next_batch(batch_size):
global pointer
batches_wavs = []
def gudong_change(self):
#股东减少排序
vtype = sys.argv[2]
show_five_order = 0
if len(sys.argv) == 4:
show_five_order = 1
if vtype == 'A':
#最后报告时间
end_date = 20161015
opt_list = self.mysql.getRecord(
"SELECT * FROM `s_stock_shareholdernum` WHERE bigid IN (SELECT bigid FROM s_stock_shareholdernum WHERE `enddate` >=%s AND totalshamt >300 and askshrto<0 ORDER BY enddate DESC ) ORDER BY askshrto ASC limit 1500"
% end_date)
elif vtype == 2:
#当期时间
opt_list = []
elif vtype == 3:
#两连降
opt_list = []
elif vtype == 4:
#三连降
opt_list = []
stock = self.mysql.getRecord("select * from s_stock_list where 1")
stock_list = {}
for o in range(0, len(stock)):
tmp_code = stock[o]['s_code']
stock_list[tmp_code] = stock[o]
attributes = ["No", "Code", "Name", "Change", "All", "Gu", "Last"]
table = pylsytable(attributes)
_no = []
_code = []
_name = []
_chage = []
_all = []
_gu = []
_date = []
codes = []
i = 1
for k in range(0, len(opt_list)):
if opt_list[k]['s_code'] in codes:
continue
'''
季度选股使用
#市值大于150亿过滤,股数人数减少小于1000
_stock_info = stock_list[opt_list[k]['s_code']]
ms = re.findall(re.compile(r'\*|N|ST|航空|银行|钢铁|煤|药|酒|电力'), _stock_info['name'])
if _stock_info['run_market'] > 15000000000 or _stock_info['run_market'] < 1500000000 or ms:
continue
'''
if show_five_order == 1:
print opt_list[k]['s_code']
codes.append(opt_list[k]['s_code'])
_no.append(i)
_code.append(opt_list[k]['s_code'])
_name.append(stock_list[opt_list[k]['s_code']]['name'])
_chage.append(opt_list[k]['askshrto'])
_all.append(opt_list[k]['totalshamt'])
_gu.append(opt_list[k]['askavgsh'])
_date.append(opt_list[k]['enddate'])
i += 1
table.add_data("No", _no)
table.add_data("Code", _code)
table.add_data("Name", _name)
table.add_data("Change", _chage)
table.add_data("All", _all)
table.add_data("Gu", _gu)
table.add_data("Last", _date)
if show_five_order == 0:
print(table.__str__())
def show_daily_lhb2(self):
#显示个股历史龙虎数据
s_code = self.change_scode(sys.argv[2])
start_date = 20150610
show_table_max = 4
x = self.mysql.getRecord("SELECT a.*,b.codex,b.name FROM `s_lhb_days_detail` as a left join s_lhb as b on a.yyb_id=b.codex WHERE a.s_code='%s' and dateline >=%s order by dateline desc " % (s_code, start_date))
if len(x):
#先按天归类
daily_yyb = {}
daily_yyb2 = {}
attributes = ["ID", "Name", "Num"]
table_attr = ["Name"]
tdheader = ['<tr height="40"><th width="60" bgColor="#CCCCCC" align="center">ID</th>', '<th width="100" bgColor="#CCCCCC" align="center">Name</th>', '<th width="30" bgColor="#CCCCCC" align="center">Num</th>']
for a in range(0, len(x)):
key = "D%s" % x[a]['dateline']
if key not in attributes:
attributes.append(key)
tdheader.append('<th width="120" bgColor="#CCCCCC" align="center">%s</th>' % key)
if len(table_attr) < show_table_max:
table_attr.append(key)
if x[a]['name'] is None:
x[a]['name'] = "YYB-%s" % x[a]['yyb_id']
if x[a]['name'] not in daily_yyb.keys():
daily_yyb[x[a]['name']] = []
daily_yyb[x[a]['name']].append(x[a])
_name_key = "D%s|%s" % (x[a]['dateline'], x[a]['name'])
if _name_key not in daily_yyb2.keys():
daily_yyb2[_name_key] = []
daily_yyb2[_name_key].append(x[a])
tdheader.append('</tr>')
name_list = []
table_td_list = {}
show_table = pylsytable(table_attr)
#print "====".join(tdheader)
#sys.exit()
all_tr_list = []
for _name, v in daily_yyb.items():
#制作每一行数据
_name2 = _name.replace('证券股份有限公司', '')
_name2 = _name2.replace('证券有限公司', '')
_name2 = _name2.replace('证券有限责任公司', '')
_name2 = _name2.replace('证券营业部', '')
_name2 = _name2.replace('（山东）有限责任公司', '')
#显示最近5次有龙虎榜
#is_show_name = 0
for d in range(1, len(table_attr)):
_name_key = "%s|%s" % (table_attr[d], _name)
if table_attr[d] not in table_td_list.keys():
table_td_list[table_attr[d]] = []
BS_str = ''
if _name_key in daily_yyb2:
#is_show_name = 1
BS_strA = "%s%s=%s=%s" % (daily_yyb2[_name_key][0]['type'], daily_yyb2[_name_key][0]['s_sort'], self._format_money(daily_yyb2[_name_key][0]['B_volume']), self._format_money(daily_yyb2[_name_key][0]['S_volume']))
BS_strB = ''
if len(daily_yyb2[_name_key]) > 1:
BS_strB = "%s%s=%s=%s" % (daily_yyb2[_name_key][1]['type'], daily_yyb2[_name_key][1]['s_sort'], self._format_money(daily_yyb2[_name_key][1]['B_volume']), self._format_money(daily_yyb2[_name_key][1]['S_volume']))
BS_str = u"%s=%s==" % (BS_strA, BS_strB)
table_td_list[table_attr[d]].append(BS_str)
#print "%s==%s" % (_name2, is_show_name)
#if is_show_name == 1:
name_list.append(_name2)
tr_data = ["%s" % v[0]['yyb_id'], _name2, 0]
#周期内出现的天数
_has_num = 0
for b in range(3, len(attributes)):
_name_key = "%s|%s" % (attributes[b], _name)
BS_str = ''
if _name_key in daily_yyb2:
_has_num += 1
#营业部做T
BS_strA = "%s%s=%s=%s" % (daily_yyb2[_name_key][0]['type'], daily_yyb2[_name_key][0]['s_sort'], self._format_money(daily_yyb2[_name_key][0]['B_volume']), self._format_money(daily_yyb2[_name_key][0]['S_volume']))
BS_strB = ''
if len(daily_yyb2[_name_key]) > 1:
BS_strB = "%s%s=%s=%s" % (daily_yyb2[_name_key][1]['type'], daily_yyb2[_name_key][1]['s_sort'], self._format_money(daily_yyb2[_name_key][1]['B_volume']), self._format_money(daily_yyb2[_name_key][1]['S_volume']))
BS_str = u"%s\n%s==\n" % (BS_strA, BS_strB)
tr_data.append(BS_str)
tr_data[2] = _has_num
_td_str = ['<tr height="40">']
for c in range(0, len(tr_data)):
_td_str.append('<td bgColor="#FFFFFF" align="center">%s</td>' % tr_data[c])
_td_str.append('</tr>')
all_tr_list.append("\n".join(_td_str))
if len(sys.argv) == 3:
table = '<html><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8" /><title></title></head><body>\n\
<table border="1" width="1024">%s\n%s</table></body></html>' % ("\n".join(tdheader), "\n".join(all_tr_list))
print table
else:
for b in range(1, len(table_attr)):
show_table.add_data(table_attr[b], table_td_list[table_attr[b]])
#print name_list
show_table.add_data("Name", name_list)
print(show_table.__str__())
import socket
from pylsy import pylsytable
logstash_hosts = ['127.0.0.1']
logstash_port = '9600'
jvm_url = '/_node/stats/jvm'
def toMB(num):
return int(num)/1024/1024
def perMS(count, time_in_ms):
return int(time_in_ms/count)
header = ['host','uptime(min)','HeapUse/Max(MB)', 'YngUse/OldUse(MB)','Yng/OldGCCount'
,'Yng/OldGCTime(ms)']
table = pylsytable(header)
for h in logstash_hosts:
try:
url = "http://" + h + ':' + logstash_port + jvm_url
body = urllib2.urlopen(url=url, timeout=5)
jvm_stats = json.loads(body.read())
host = socket.gethostname() #jvm_stats['host']
uptime = int(jvm_stats['jvm']['uptime_in_millis'])/1000/60
mem = jvm_stats['jvm']['mem']
gc = jvm_stats['jvm']['gc']
pools = mem['pools']
heapMax = toMB(mem['heap_max_in_bytes'])
heapUsage = toMB(mem['heap_used_in_bytes'])
heapUse = str(heapUsage) + '/' + str(heapMax)
yngUsage = toMB(pools['young']['used_in_bytes'])
print '==================================================='
print 'cannonical LR(0) collection:'
for key,val in C_dict.items():
print key,val
print '==================================================='
print 'DFA:'
for key,val in DFA.items():
print key,val
print '==================================================='
print 'Parsing table for expression grammar:'
attributes = ['status']
terminals_list.append('#')
attributes.extend(terminals_list)
non_terminals_list.pop(0)
attributes.extend(non_terminals_list)
table = pylsytable(attributes)
table.add_data('status', SLR1_tabel.keys())
for key in SLR1_tabel.keys():
for each in terminals_list+non_terminals_list:
if SLR1_tabel[key].has_key(each):
table.append_data(each, SLR1_tabel[key][each])
else:
table.append_data(each, ' ')
print(table)
print '==================================================='
inputed_parse = parse_input()
print 'Moves of an LR parser on '+inputed_parse+':'
result,analyse_result_array = do_analyse(SLR1_tabel,inputed_parse,grammer_productions_list)
#保证输出的间隔比该列的最长序列多2
def stock_bs_big_order(self):
dateline = sys.argv[2]
if sys.argv[3] == 'A':
#无大单尽买入
sql = "SELECT * FROM `s_stock_fenbi_daily` AS a WHERE a.dateline =%s and bs_all>9000000 and b_3=0 and b_5=0 and b_7=0 and b_10=0 and bs_all >0 ORDER BY a.bs_all desc " % dateline
elif sys.argv[3] == 'B':
#尽买入
sql = "SELECT * FROM `s_stock_fenbi_daily` WHERE `dateline` = %s AND (`b_10` > 0 or b_5 > 0 or b_7 >0) order by bs_all desc" % dateline
elif sys.argv[3] == 'C':
#大单买入3KW
sql = "SELECT * FROM `s_stock_fenbi_daily` WHERE `dateline` = %s AND zl_b > 30000000 and zl_b > zl_s order by bs_all desc" % dateline
elif sys.argv[3] == 'D':
#连续大单流入2KW
c = self._filter_bs_D()
if len(c):
_sql = []
for _a in range(0, len(c)):
_sql.append("'%s'" % c[_a])
sql = "SELECT * FROM `s_stock_fenbi_daily` WHERE `dateline` = %s AND s_code in(%s)" % (
dateline, ",".join(_sql))
else:
self.print_green("No Data...")
return
elif sys.argv[3] == 'E':
#self._filter_bs_E(20161220, 'sz300153')
#self.stock_bs_skip_order()
sql = "SELECT * FROM `s_stock_fenbi_daily` WHERE `dateline` = %s and skip_order >5 order by skip_order desc " % dateline
self.ak = 0
data = self.mysql.getRecord(sql)
stock = self.mysql.getRecord("select * from s_stock_list where 1")
self.stock_list = {}
show_five_order = 0
if len(sys.argv) == 5:
show_five_order = 1
for o in range(0, len(stock)):
tmp_code = stock[o]['s_code']
self.stock_list[tmp_code] = stock[o]
if len(data) > 0:
attributes = [
"Name", "Chg", "Buy", "Sell", "All", "Skip", "B3", "B5", "B7",
"B10"
]
table = pylsytable(attributes)
_name = []
_chg = []
_buy = []
_sell = []
_all = []
_skip = []
_b_3 = []
_b_5 = []
_b_7 = []
_b_10 = []
for o in range(0, len(data)):
ms = re.findall(re.compile(r'\*|N|ST|航空|银行'),
self.stock_list[data[o]['s_code']]['name'])
if self.stock_list[data[o]['s_code']][
'run_market'] > 15000000000 or self.stock_list[
data[o]['s_code']]['listing_date'] == 0 or ms:
continue
if data[o]['bs_all'] < -80000000:
continue
self.ak += 1
#最近5天的主买平均小于1000W
#res = self._avg_buy(data[o]['s_code'])
#if res > 0 and res < 12000000:
# continue
_skip.append(data[o]['skip_order'])
_name.append("%s=%s" %
(data[o]['s_code'],
self.stock_list[data[o]['s_code']]['name']))
_chg.append(self.stock_list[data[o]['s_code']]['chg'])
#_buy.append("%s=%s" % (data[o]['b_price'], data[o]['b_hands']))
#_sell.append("%s=%s" % (data[o]['s_price'], data[o]['s_hands']))
_buy.append(data[o]['zl_b'])
_sell.append(data[o]['zl_s'])
_all.append("{:.2f}".format(data[o]['bs_all'] / 10000, ''))
_b_3.append("%s=%s" % (data[o]['b_3'], data[o]['s_3']))
_b_5.append("%s=%s" % (data[o]['b_5'], data[o]['s_5']))
_b_7.append("%s=%s" % (data[o]['b_7'], data[o]['s_7']))
_b_10.append("%s=%s" % (data[o]['b_10'], data[o]['s_10']))
if show_five_order:
print data[o]['s_code']
table.add_data("Name", _name)
table.add_data("Chg", _chg)
table.add_data("Buy", _buy)
table.add_data("Sell", _sell)
table.add_data("All", _all)
table.add_data("Skip", _skip)
table.add_data("B3", _b_3)
table.add_data("B5", _b_5)
table.add_data("B7", _b_7)
table.add_data("B10", _b_10)
if show_five_order == 0:
print(table.__str__())
print u"==========共有%s=====" % self.ak
def __get_daily_order(self, s_code):
opt_list = self.mysql.getRecord("SELECT * FROM `s_stock_fenbi_daily` WHERE s_code='%s' order by dateline desc" % s_code)
#print "SELECT * FROM `s_stock_fenbi_daily` WHERE s_code='%s' order by dateline desc" % s_code
if len(opt_list):
attributes = ["Time", "Buy", "Sell", "XC", "BS", "All", "Skip", "YiDong", "DuiDao", "BO", "SO", "Chg", "HS"]
table = pylsytable(attributes)
_time = []
_buy = []
_sell = []
_bs = []
_all = []
_skip = []
_xc = []
_yd = []
_dd = []
_level_A = []
_level_B = []
_chg = []
_hs = []
day2 = []
for x in range(0, len(opt_list)):
_time.append(opt_list[x]['dateline'])
day2.append(str(opt_list[x]['dateline']))
#_buy.append("%s/%s" % (opt_list[x]['b_price'], opt_list[x]['b_hands']))
#_sell.append("%s/%s" % (opt_list[x]['s_price'], opt_list[x]['s_hands']))
_buy.append(int(opt_list[x]['zl_b']/10000))
_sell.append(int(-opt_list[x]['zl_s']/10000))
_bs.append(int(opt_list[x]['zl_b']/10000) + int(-opt_list[x]['zl_s']/10000))
_c = int(opt_list[x]['bs_all']/10000)
_all.append(_c)
_yd.append(opt_list[x]['YiDongCount'])
_dd.append(opt_list[x]['DuiDaoCount'])
_xc.append(int(opt_list[x]['kp_xc']/10000))
_skip.append(opt_list[x]['skip_order'])
_level_A.append("%s/%s/%s/%s" % (opt_list[x]['b_3'], opt_list[x]['b_5'], opt_list[x]['b_7'], opt_list[x]['b_10']))
_level_B.append("%s/%s/%s/%s" % (opt_list[x]['s_3'], opt_list[x]['s_5'], opt_list[x]['s_7'], opt_list[x]['s_10']))
stock_days = self.mysql.getRecord("SELECT * FROM s_stock_trade WHERE s_code='%s' and dateline in(%s) " % (s_code, ','.join(day2)))
stock_daily = {}
for j in range(0, len(stock_days)):
#d = datetime.datetime.strptime(str(stock_days[j]['dateline']), "%Y%m%d")
#_dd = self.tools.d_date('%Y-%m-%d', time.mktime(d.timetuple()))
stock_daily[str(stock_days[j]['dateline'])] = stock_days[j]
for x in range(0, len(opt_list)):
_chg.append(stock_daily[str(opt_list[x]['dateline'])]['chg'])
_huanshou = "{:.2f}".format(stock_daily[str(opt_list[x]['dateline'])]['turnover'], '')
_hs.append(_huanshou)
table.add_data("Time", _time)
table.add_data("Buy", _buy)
table.add_data("Sell", _sell)
table.add_data("BS", _bs)
table.add_data("All", _all)
table.add_data("Skip", _skip)
table.add_data("XC", _xc)
table.add_data("YiDong", _yd)
table.add_data("DuiDao", _dd)
table.add_data("BO", _level_A)
table.add_data("SO", _level_B)
table.add_data("Chg", _chg)
table.add_data("HS", _hs)
#5日流出
'''
i = 5
_daily_B = []
_daily_S = []
while i:
attributes2.append("D%s" % i)
print _buy[i]
_daily_B.append(_buy[i])
_daily_S.append(_sell[i])
i -= 1
table2 = pylsytable(attributes2)
'''
print(table.__str__())
def show_daily_lhb2(self):
#显示个股历史龙虎数据
s_code = self.change_scode(sys.argv[2])
start_date = 20150610
show_table_max = 4
x = self.mysql.getRecord(
"SELECT a.*,b.codex,b.name FROM `s_lhb_days_detail` as a left join s_lhb as b on a.yyb_id=b.codex WHERE a.s_code='%s' and dateline >=%s order by dateline desc "
% (s_code, start_date))
if len(x):
#先按天归类
daily_yyb = {}
daily_yyb2 = {}
attributes = ["ID", "Name", "Num"]
table_attr = ["Name"]
tdheader = [
'<tr height="40"><th width="60" bgColor="#CCCCCC" align="center">ID</th>',
'<th width="100" bgColor="#CCCCCC" align="center">Name</th>',
'<th width="30" bgColor="#CCCCCC" align="center">Num</th>'
]
for a in range(0, len(x)):
key = "D%s" % x[a]['dateline']
if key not in attributes:
attributes.append(key)
tdheader.append(
'<th width="120" bgColor="#CCCCCC" align="center">%s</th>'
% key)
if len(table_attr) < show_table_max:
table_attr.append(key)
if x[a]['name'] is None:
x[a]['name'] = "YYB-%s" % x[a]['yyb_id']
if x[a]['name'] not in daily_yyb.keys():
daily_yyb[x[a]['name']] = []
daily_yyb[x[a]['name']].append(x[a])
_name_key = "D%s|%s" % (x[a]['dateline'], x[a]['name'])
if _name_key not in daily_yyb2.keys():
daily_yyb2[_name_key] = []
daily_yyb2[_name_key].append(x[a])
tdheader.append('</tr>')
name_list = []
table_td_list = {}
show_table = pylsytable(table_attr)
#print "====".join(tdheader)
#sys.exit()
all_tr_list = []
for _name, v in daily_yyb.items():
#制作每一行数据
_name2 = _name.replace('证券股份有限公司', '')
_name2 = _name2.replace('证券有限公司', '')
_name2 = _name2.replace('证券有限责任公司', '')
_name2 = _name2.replace('证券营业部', '')
_name2 = _name2.replace('（山东）有限责任公司', '')
#显示最近5次有龙虎榜
#is_show_name = 0
for d in range(1, len(table_attr)):
_name_key = "%s|%s" % (table_attr[d], _name)
if table_attr[d] not in table_td_list.keys():
table_td_list[table_attr[d]] = []
BS_str = ''
if _name_key in daily_yyb2:
#is_show_name = 1
BS_strA = "%s%s=%s=%s" % (
daily_yyb2[_name_key][0]['type'],
daily_yyb2[_name_key][0]['s_sort'],
self._format_money(
daily_yyb2[_name_key][0]['B_volume']),
self._format_money(
daily_yyb2[_name_key][0]['S_volume']))
BS_strB = ''
if len(daily_yyb2[_name_key]) > 1:
BS_strB = "%s%s=%s=%s" % (
daily_yyb2[_name_key][1]['type'],
daily_yyb2[_name_key][1]['s_sort'],
self._format_money(
daily_yyb2[_name_key][1]['B_volume']),
self._format_money(
daily_yyb2[_name_key][1]['S_volume']))
BS_str = u"%s=%s==" % (BS_strA, BS_strB)
table_td_list[table_attr[d]].append(BS_str)
#print "%s==%s" % (_name2, is_show_name)
#if is_show_name == 1:
name_list.append(_name2)
tr_data = ["%s" % v[0]['yyb_id'], _name2, 0]
#周期内出现的天数
_has_num = 0
for b in range(3, len(attributes)):
_name_key = "%s|%s" % (attributes[b], _name)
BS_str = ''
if _name_key in daily_yyb2:
_has_num += 1
#营业部做T
BS_strA = "%s%s=%s=%s" % (
daily_yyb2[_name_key][0]['type'],
daily_yyb2[_name_key][0]['s_sort'],
self._format_money(
daily_yyb2[_name_key][0]['B_volume']),
self._format_money(
daily_yyb2[_name_key][0]['S_volume']))
BS_strB = ''
if len(daily_yyb2[_name_key]) > 1:
BS_strB = "%s%s=%s=%s" % (
daily_yyb2[_name_key][1]['type'],
daily_yyb2[_name_key][1]['s_sort'],
self._format_money(
daily_yyb2[_name_key][1]['B_volume']),
self._format_money(
daily_yyb2[_name_key][1]['S_volume']))
BS_str = u"%s\n%s==\n" % (BS_strA, BS_strB)
tr_data.append(BS_str)
tr_data[2] = _has_num
_td_str = ['<tr height="40">']
for c in range(0, len(tr_data)):
_td_str.append(
'<td bgColor="#FFFFFF" align="center">%s</td>' %
tr_data[c])
_td_str.append('</tr>')
all_tr_list.append("\n".join(_td_str))
if len(sys.argv) == 3:
table = '<html><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8" /><title></title></head><body>\n\
<table border="1" width="1024">%s\n%s</table></body></html>' % (
"\n".join(tdheader), "\n".join(all_tr_list))
print table
else:
for b in range(1, len(table_attr)):
show_table.add_data(table_attr[b],
table_td_list[table_attr[b]])
#print name_list
show_table.add_data("Name", name_list)
print(show_table.__str__())
def stock_bs_big_order(self):
dateline = sys.argv[2]
show_five_order = 0
if len(sys.argv) == 5:
show_five_order = 1
if sys.argv[3] == 'A':
#无大单尽买入
sql = "SELECT * FROM `s_stock_fenbi_daily` AS a WHERE a.dateline =%s and kp_xc>9000000 and b_3=0 and b_5=0 and b_7=0 and b_10=0 and bs_all >0 ORDER BY a.bs_all desc " % dateline
elif sys.argv[3] == 'B':
#大单尽买入
sql = "SELECT * FROM `s_stock_fenbi_daily` WHERE `dateline` = %s AND (`b_10` > 0 or b_5 > 0 or b_7 >0) order by bs_all desc" % dateline
elif sys.argv[3] == 'C':
#大单买入3KW 50DDJE > 15000000
sql = "SELECT * FROM `s_stock_fenbi_daily` WHERE `dateline` = %s AND 10DDJE < -10000000 and 50DDJE>0 order by 50DDJE desc" % dateline
sql = "SELECT * FROM `s_stock_fenbi_daily` WHERE `dateline` = %s AND 10DDJE < 0 AND 30DDJE>1000000 AND 50DDJE >1000000 order by 50DDJE desc" % dateline
elif sys.argv[3] == 'D':
#连续大单流入2KW
c = self._filter_bs_D()
if len(c):
_sql = []
for _a in range(0, len(c)):
_sql.append("'%s'" % c[_a])
sql = "SELECT * FROM `s_stock_fenbi_daily` WHERE `dateline` = %s AND s_code in(%s)" % (dateline, ",".join(_sql))
else:
self.print_green("No Data...")
return
elif sys.argv[3] == 'E':
#跳单,成交大于1亿
stock = self.mysql.getRecord("select * from s_stock_list where dateline=%s and amount > 200000000 order by amount desc " % dateline)
_sql = []
for o in range(0, len(stock)):
_sql.append("'%s'" % stock[o]['s_code'])
sql = "SELECT * FROM `s_stock_fenbi_daily` WHERE `dateline` = %s and skip_order >5 AND s_code in(%s) order by skip_order desc " % (dateline, ",".join(_sql))
elif sys.argv[3] == 'F':
#异动次数150
sql = "SELECT * FROM `s_stock_fenbi_daily` WHERE `dateline` = %s and YiDongCount >150 order by YiDongCount desc " % dateline
elif sys.argv[3] == 'G':
#成交大于3亿
stock = self.mysql.getRecord("select * from s_stock_list where dateline=%s and amount > 300000000 order by amount desc " % dateline)
_sql = []
for o in range(0, len(stock)):
_sql.append("'%s'" % stock[o]['s_code'])
if show_five_order:
_pre_x = stock[o]['s_code'][0:2]
if _pre_x == 'sz':
_px = "0%s" % stock[o]['s_code'][2:]
else:
_px = "1%s" % stock[o]['s_code'][2:]
print _px
if show_five_order:
sys.exit()
sql = "SELECT * FROM `s_stock_fenbi_daily` WHERE `dateline` = %s AND s_code in(%s)" % (dateline, ",".join(_sql))
elif sys.argv[3] == 'H':
sql = "SELECT * FROM `s_stock_fenbi_daily` WHERE `dateline` = %s and 50DDJE >10000000 and 30DDJE > 0 order by 50DDJE desc " % dateline
self.ak = 0
data = self.mysql.getRecord(sql)
stock = self.mysql.getRecord("select * from s_stock_list where 1")
self.stock_list = {}
for o in range(0, len(stock)):
tmp_code = stock[o]['s_code']
self.stock_list[tmp_code] = stock[o]
#print len(data)
#sys.exit()
if len(data) > 0:
attributes = ["Name", "Chg", "B100", "B50", "B30", "B20", "B10", "Buy", "Sell", "XC", "All", "Skip", "B3", "B5", "B7", "B10"]
table = pylsytable(attributes)
_name = []
_chg = []
_b100 = []
_b50 = []
_b30 = []
_b20 = []
_b10 = []
_buy = []
_sell = []
_all = []
_skip = []
_xc = []
_b_3 = []
_b_5 = []
_b_7 = []
_b_10 = []
for o in range(0, len(data)):
ms = re.findall(re.compile(r'\*|N|ST|航空|银行'), self.stock_list[data[o]['s_code']]['name'])
if self.stock_list[data[o]['s_code']]['run_market'] > 15000000000 or self.stock_list[data[o]['s_code']]['listing_date'] == 0 or ms:
continue
if data[o]['bs_all'] < -80000000:
continue
self.ak += 1
#最近5天的主买平均小于1000W
#res = self._avg_buy(data[o]['s_code'])
#if res > 0 and res < 12000000:
# continue
_skip.append(data[o]['skip_order'])
_xc.append(int(data[o]['kp_xc']/10000))
_a_name = self.stock_list[data[o]['s_code']]['name']
_name.append("%s=%s" % (data[o]['s_code'], _a_name.encode('utf-8')))
_chg.append(self.stock_list[data[o]['s_code']]['chg'])
#_buy.append("%s=%s" % (data[o]['b_price'], data[o]['b_hands']))
#_sell.append("%s=%s" % (data[o]['s_price'], data[o]['s_hands']))
_b100.append(int(data[o]['100DDJE']/10000))
_b50.append(int(data[o]['50DDJE']/10000))
_b30.append(int(data[o]['30DDJE']/10000))
_b20.append(int(data[o]['20DDJE']/10000))
_b10.append(int(data[o]['10DDJE']/10000))
_buy.append(int(data[o]['zl_b']/10000))
_sell.append(int(data[o]['zl_s']/10000))
_all.append("{:.2f}".format(data[o]['bs_all']/10000, ''))
_b_3.append("%s=%s" % (data[o]['b_3'], data[o]['s_3']))
_b_5.append("%s=%s" % (data[o]['b_5'], data[o]['s_5']))
_b_7.append("%s=%s" % (data[o]['b_7'], data[o]['s_7']))
_b_10.append("%s=%s" % (data[o]['b_10'], data[o]['s_10']))
if show_five_order:
_pre_x = data[o]['s_code'][0:2]
if _pre_x == 'sz':
_px = "0%s" % data[o]['s_code'][2:]
else:
_px = "1%s" % data[o]['s_code'][2:]
print _px
table.add_data("Name", _name)
table.add_data("Chg", _chg)
table.add_data("B100", _b100)
table.add_data("B50", _b50)
table.add_data("B30", _b30)
table.add_data("B20", _b20)
table.add_data("B10", _b10)
table.add_data("Buy", _buy)
table.add_data("Sell", _sell)
table.add_data("XC", _xc)
table.add_data("All", _all)
table.add_data("Skip", _skip)
table.add_data("B3", _b_3)
table.add_data("B5", _b_5)
table.add_data("B7", _b_7)
table.add_data("B10", _b_10)
if show_five_order == 0:
print table.__str__()
print "==========Count %s=====" % self.ak
def __get_daily_order(self, s_code):
opt_list = self.mysql.getRecord(
"SELECT * FROM `s_stock_fenbi_daily` WHERE s_code='%s' order by dateline desc"
% s_code)
#print "SELECT * FROM `s_stock_fenbi_daily` WHERE s_code='%s' order by dateline desc" % s_code
if len(opt_list):
attributes = [
"Time", "Buy", "Sell", "XC", "BS", "All", "Skip", "YiDong",
"DuiDao", "BO", "SO", "Chg", "HS"
]
table = pylsytable(attributes)
_time = []
_buy = []
_sell = []
_bs = []
_all = []
_skip = []
_xc = []
_yd = []
_dd = []
_level_A = []
_level_B = []
_chg = []
_hs = []
day2 = []
for x in range(0, len(opt_list)):
_time.append(opt_list[x]['dateline'])
day2.append(str(opt_list[x]['dateline']))
#_buy.append("%s/%s" % (opt_list[x]['b_price'], opt_list[x]['b_hands']))
#_sell.append("%s/%s" % (opt_list[x]['s_price'], opt_list[x]['s_hands']))
_buy.append(int(opt_list[x]['zl_b'] / 10000))
_sell.append(int(-opt_list[x]['zl_s'] / 10000))
_bs.append(
int(opt_list[x]['zl_b'] / 10000) +
int(-opt_list[x]['zl_s'] / 10000))
_c = int(opt_list[x]['bs_all'] / 10000)
_all.append(_c)
_yd.append(opt_list[x]['YiDongCount'])
_dd.append(opt_list[x]['DuiDaoCount'])
_xc.append(int(opt_list[x]['kp_xc'] / 10000))
_skip.append(opt_list[x]['skip_order'])
_level_A.append("%s/%s/%s/%s" %
(opt_list[x]['b_3'], opt_list[x]['b_5'],
opt_list[x]['b_7'], opt_list[x]['b_10']))
_level_B.append("%s/%s/%s/%s" %
(opt_list[x]['s_3'], opt_list[x]['s_5'],
opt_list[x]['s_7'], opt_list[x]['s_10']))
stock_days = self.mysql.getRecord(
"SELECT * FROM s_stock_trade WHERE s_code='%s' and dateline in(%s) "
% (s_code, ','.join(day2)))
stock_daily = {}
for j in range(0, len(stock_days)):
#d = datetime.datetime.strptime(str(stock_days[j]['dateline']), "%Y%m%d")
#_dd = self.tools.d_date('%Y-%m-%d', time.mktime(d.timetuple()))
stock_daily[str(stock_days[j]['dateline'])] = stock_days[j]
for x in range(0, len(opt_list)):
_chg.append(stock_daily[str(opt_list[x]['dateline'])]['chg'])
_huanshou = "{:.2f}".format(
stock_daily[str(opt_list[x]['dateline'])]['turnover'], '')
_hs.append(_huanshou)
table.add_data("Time", _time)
table.add_data("Buy", _buy)
table.add_data("Sell", _sell)
table.add_data("BS", _bs)
table.add_data("All", _all)
table.add_data("Skip", _skip)
table.add_data("XC", _xc)
table.add_data("YiDong", _yd)
table.add_data("DuiDao", _dd)
table.add_data("BO", _level_A)
table.add_data("SO", _level_B)
table.add_data("Chg", _chg)
table.add_data("HS", _hs)
#5日流出
'''
i = 5
_daily_B = []
_daily_S = []
while i:
attributes2.append("D%s" % i)
print _buy[i]
_daily_B.append(_buy[i])
_daily_S.append(_sell[i])
i -= 1
table2 = pylsytable(attributes2)
'''
print(table.__str__())
def setUp(self):
attributes = ["name", "age"]
self.table = pylsytable(attributes)
submenu.add_command(label="Cut")
menu.add_cascade(label="Hc->Edit", menu=submenu)
submenu = t.Menu(menu, tearoff=0)
submenu.add_command(label="Haocong")
submenu.add_command(label="Python")
submenu.add_separator()
submenu.add_command(label="About")
menu.add_cascade(label="Hc->Log", menu=submenu)
menu.add_cascade(label="Hc->Manage", menu=submenu)
menu.add_cascade(label="Hc->Help", menu=submenu)
# menu.add_cascade(label="HC->Help", menu=submenu)
root.config(menu=menu)
# edit1=t.Text(root)
# edit1.pack()
a = ['Name', 'FIRST', 'FOLLOW']
table = pylsytable(a)
name = []
f = open('d:\\python\\test.txt','r')
s = f.readlines()
t.Label(root,text=" 请输入文法产生式：",font=fttt).grid(sticky='W',rowspan=2)
u=t.StringVar()
u1 = t.StringVar()
u2 = t.StringVar()
u3 = t.StringVar()
u4 = t.StringVar()
e1 = t.Entry(root,textvariable=u)
u.set("E -> T E'")
e2 = t.Entry(root,textvariable=u1)
u1.set("T' -> * F T' | e")
e3 = t.Entry(root,textvariable=u2)
u2.set("E' -> + T E' | e")
passwd='1',
db='stu_info',
charset='utf8')
cur = content.cursor()
c_db = "create database stu_info"
c_table = "CREATE TABLE user_info (id int(8) NOT NULL AUTO_INCREMENT,name char(80) NOT NULL,sexy char(20) NOT NULL,age int(30) NOT NULL,address char(90) NOT NULL,qq int(60) NOT NULL, PRIMARY KEY (id))ENGINE=MyISAM AUTO_INCREMENT=58 DEFAULT CHARSET=utf8"
try:
cur.execute(c_db)
cur.execute(c_table)
except Exception as e:
print e
data_title = ['id', 'name', 'sexy', 'age', 'address', 'qq']
table = pylsytable(data_title)
id_list = []
name_list = []
sexy_list = []
age_list = []
addr_list = []
qq_list = []
def add_table():
table.add_data('id', id_list)
table.add_data('name', name_list)
table.add_data('sexy', sexy_list)
table.add_data('age', age_list)
table.add_data('address', addr_list)
table.add_data('qq', qq_list)
def __get_big_order(self, s_code):
#按天归类,取最近半年
data = self.mysql.getRecord(
"SELECT * FROM s_stock_big_order WHERE s_code='%s' order by datetime desc"
% s_code)
#print len(data)
if len(data) > 0:
#attributes = ["Day", "Small", "Middle", "Big", "Max"]
attributes = ["Day", "Buy", "Sell", "Change"]
table = pylsytable(attributes)
days = []
days2 = []
res = {}
for x in range(0, len(data)):
at = str(data[x]['datetime']).split(' ')
#print at
_day = at[0]
#_day = str(data[x]['dateline'])
#35个交易日的数据
if len(days2) > MAX_BIG_ORDER_LIST:
continue
if _day not in res.keys():
res[_day] = {
'B_small': 0,
'B_s_money': 0,
'B_mid': 0,
'B_m_money': 0,
'B_big': 0,
'B_b_money': 0,
'B_max': 0,
'B_x_money': 0,
'S_small': 0,
'S_s_money': 0,
'S_mid': 0,
'S_m_money': 0,
'S_big': 0,
'S_b_money': 0,
'S_max': 0,
'S_x_money': 0,
'B_count': 0,
'B_money': 0,
'S_count': 0,
'S_money': 0,
}
d = datetime.datetime.strptime(_day, "%Y-%m-%d")
_dd = self.tools.d_date('%Y%m%d',
time.mktime(d.timetuple()))
#print _day
days.append(_day)
days2.append(_dd)
res[_day]["%s_count" % data[x]['bs_type']] += 1
res[_day]["%s_money" %
data[x]['bs_type']] += data[x]['bs_money']
#150W以下
if data[x]['bs_money'] <= 150:
vk = "%s_small" % data[x]['bs_type']
vkm = "%s_s_money" % data[x]['bs_type']
res[_day][vk] += 1
res[_day][vkm] += data[x]['bs_money']
elif data[x]['bs_money'] <= 500 and data[x]['bs_money'] > 150:
vk = "%s_mid" % data[x]['bs_type']
vkm = "%s_m_money" % data[x]['bs_type']
res[_day][vk] += 1
res[_day][vkm] += data[x]['bs_money']
elif data[x]['bs_money'] < 1000 and data[x]['bs_money'] > 500:
vk = "%s_big" % data[x]['bs_type']
vkm = "%s_b_money" % data[x]['bs_type']
res[_day][vk] += 1
res[_day][vkm] += data[x]['bs_money']
elif data[x]['bs_money'] >= 1000:
vk = "%s_max" % data[x]['bs_type']
vkm = "%s_x_money" % data[x]['bs_type']
res[_day][vk] += 1
res[_day][vkm] += data[x]['bs_money']
'''
bs_f = []
bm_f = []
bb_f = []
bx_f = []
for k, v in res.items():
#print k
#print v
bs_f.append("%s=%s=%s=%s" % (v['B_small'], v['B_s_money'], v['S_small'], v['S_s_money']))
bm_f.append("%s=%s=%s=%s" % (v['B_mid'], v['B_m_money'], v['S_mid'], v['S_m_money']))
bb_f.append("%s=%s=%s=%s" % (v['B_big'], v['B_b_money'], v['S_big'], v['S_b_money']))
bx_f.append("%s=%s=%s=%s" % (v['B_max'], v['B_x_money'], v['S_max'], v['S_x_money']))
#print len(res)
table.add_data("Day", days)
table.add_data("Small", bs_f)
table.add_data("Middle", bm_f)
table.add_data("Big", bb_f)
table.add_data("Max", bx_f)
print(table.__str__())
'''
#print res
#print days
#_a_days = list(reversed(days))
#print _a_days
stock_days = self.mysql.getRecord(
"SELECT * FROM s_stock_trade WHERE s_code='%s' and dateline in(%s) "
% (s_code, ','.join(days2)))
#print stock_days
#print "SELECT * FROM s_stock_trade WHERE s_code='%s' and dateline in(%s) " % (s_code, ','.join(days))
stock_daily = {}
for j in range(0, len(stock_days)):
d = datetime.datetime.strptime(str(stock_days[j]['dateline']),
"%Y%m%d")
_dd = self.tools.d_date('%Y-%m-%d', time.mktime(d.timetuple()))
stock_daily[_dd] = stock_days[j]
#stock_daily[str(stock_days[j]['dateline'])] = stock_days[j]
#pass
#print stock_daily['2016-10-10']
__buy = []
__sell = []
__chg = []
for ak in range(0, len(days)):
k = days[ak]
__buy.append("%s/%s" % (res[k]['B_money'], res[k]['B_count']))
__sell.append("%s/%s" % (res[k]['S_money'], res[k]['S_count']))
__chg.append(stock_daily[k]['chg'])
'''
for k, v in res.items():
print k
__buy.append("%s/%s" % (v['B_money'], v['B_count']))
__sell.append("%s/%s" % (v['S_money'], v['S_count']))
__chg.append(stock_daily[k]['chg'])
#print "\t%s\tBUY:%s/%s\t=SELL:%s/%s\t%s==" % (k, v['B_money'], v['B_count'], v['S_money'], v['S_count'], stock_daily[k]['chg'])
'''
table.add_data("Day", days)
table.add_data("Buy", __buy)
table.add_data("Sell", __sell)
table.add_data("Change", __chg)
print(table.__str__())
def __get_big_order(self, s_code):
#按天归类,取最近半年
data = self.mysql.getRecord("SELECT * FROM s_stock_big_order WHERE s_code='%s' order by datetime desc" % s_code)
#print len(data)
if len(data) > 0:
#attributes = ["Day", "Small", "Middle", "Big", "Max"]
attributes = ["Day", "Buy", "Sell", "Change"]
table = pylsytable(attributes)
days = []
days2 = []
res = {}
for x in range(0, len(data)):
at = str(data[x]['datetime']).split(' ')
#print at
_day = at[0]
#_day = str(data[x]['dateline'])
#35个交易日的数据
if len(days2) > MAX_BIG_ORDER_LIST:
continue
if _day not in res.keys():
res[_day] = {
'B_small': 0,
'B_s_money': 0,
'B_mid': 0,
'B_m_money': 0,
'B_big': 0,
'B_b_money': 0,
'B_max': 0,
'B_x_money': 0,
'S_small': 0,
'S_s_money': 0,
'S_mid': 0,
'S_m_money': 0,
'S_big': 0,
'S_b_money': 0,
'S_max': 0,
'S_x_money': 0,
'B_count': 0,
'B_money': 0,
'S_count': 0,
'S_money': 0,
}
d = datetime.datetime.strptime(_day, "%Y-%m-%d")
_dd = self.tools.d_date('%Y%m%d', time.mktime(d.timetuple()))
#print _day
days.append(_day)
days2.append(_dd)
res[_day]["%s_count" % data[x]['bs_type']] += 1
res[_day]["%s_money" % data[x]['bs_type']] += data[x]['bs_money']
#150W以下
if data[x]['bs_money'] <= 150:
vk = "%s_small" % data[x]['bs_type']
vkm = "%s_s_money" % data[x]['bs_type']
res[_day][vk] += 1
res[_day][vkm] += data[x]['bs_money']
elif data[x]['bs_money'] <= 500 and data[x]['bs_money'] > 150:
vk = "%s_mid" % data[x]['bs_type']
vkm = "%s_m_money" % data[x]['bs_type']
res[_day][vk] += 1
res[_day][vkm] += data[x]['bs_money']
elif data[x]['bs_money'] < 1000 and data[x]['bs_money'] > 500:
vk = "%s_big" % data[x]['bs_type']
vkm = "%s_b_money" % data[x]['bs_type']
res[_day][vk] += 1
res[_day][vkm] += data[x]['bs_money']
elif data[x]['bs_money'] >= 1000:
vk = "%s_max" % data[x]['bs_type']
vkm = "%s_x_money" % data[x]['bs_type']
res[_day][vk] += 1
res[_day][vkm] += data[x]['bs_money']
'''
bs_f = []
bm_f = []
bb_f = []
bx_f = []
for k, v in res.items():
#print k
#print v
bs_f.append("%s=%s=%s=%s" % (v['B_small'], v['B_s_money'], v['S_small'], v['S_s_money']))
bm_f.append("%s=%s=%s=%s" % (v['B_mid'], v['B_m_money'], v['S_mid'], v['S_m_money']))
bb_f.append("%s=%s=%s=%s" % (v['B_big'], v['B_b_money'], v['S_big'], v['S_b_money']))
bx_f.append("%s=%s=%s=%s" % (v['B_max'], v['B_x_money'], v['S_max'], v['S_x_money']))
#print len(res)
table.add_data("Day", days)
table.add_data("Small", bs_f)
table.add_data("Middle", bm_f)
table.add_data("Big", bb_f)
table.add_data("Max", bx_f)
print(table.__str__())
'''
#print res
#print days
#_a_days = list(reversed(days))
#print _a_days
stock_days = self.mysql.getRecord("SELECT * FROM s_stock_trade WHERE s_code='%s' and dateline in(%s) " % (s_code, ','.join(days2)))
#print stock_days
#print "SELECT * FROM s_stock_trade WHERE s_code='%s' and dateline in(%s) " % (s_code, ','.join(days))
stock_daily = {}
for j in range(0, len(stock_days)):
d = datetime.datetime.strptime(str(stock_days[j]['dateline']), "%Y%m%d")
_dd = self.tools.d_date('%Y-%m-%d', time.mktime(d.timetuple()))
stock_daily[_dd] = stock_days[j]
#stock_daily[str(stock_days[j]['dateline'])] = stock_days[j]
#pass
#print stock_daily['2016-10-10']
__buy = []
__sell = []
__chg = []
for ak in range(0, len(days)):
k = days[ak]
__buy.append("%s/%s" % (res[k]['B_money'], res[k]['B_count']))
__sell.append("%s/%s" % (res[k]['S_money'], res[k]['S_count']))
__chg.append(stock_daily[k]['chg'])
'''
for k, v in res.items():
print k
__buy.append("%s/%s" % (v['B_money'], v['B_count']))
__sell.append("%s/%s" % (v['S_money'], v['S_count']))
__chg.append(stock_daily[k]['chg'])
#print "\t%s\tBUY:%s/%s\t=SELL:%s/%s\t%s==" % (k, v['B_money'], v['B_count'], v['S_money'], v['S_count'], stock_daily[k]['chg'])
'''
table.add_data("Day", days)
table.add_data("Buy", __buy)
table.add_data("Sell", __sell)
table.add_data("Change", __chg)
print(table.__str__())
passwd = '1',
db = 'stu_info',
charset = 'utf8')
cur = content.cursor()
c_db = "create database stu_info"
c_table = "CREATE TABLE user_info (id int(8) NOT NULL AUTO_INCREMENT,name char(80) NOT NULL,sexy char(20) NOT NULL,age int(30) NOT NULL,address char(90) NOT NULL,qq int(60) NOT NULL, PRIMARY KEY (id))ENGINE=MyISAM AUTO_INCREMENT=58 DEFAULT CHARSET=utf8"
try:
cur.execute(c_db)
cur.execute(c_table)
except Exception as e:
print e
data_title = ['id','name','sexy','age','address','qq']
table = pylsytable(data_title)
id_list = []
name_list = []
sexy_list = []
age_list = []
addr_list = []
qq_list = []
def add_table():
table.add_data('id', id_list)
table.add_data('name', name_list)
table.add_data('sexy', sexy_list)
table.add_data('age', age_list)
table.add_data('address', addr_list)
table.add_data('qq', qq_list)