def open_table(self):
data = self.read()[0]
ctx = self._context.copy()
if data['start_date'] and data['end_date']:
date_now = datetime.now()
if data['start_date'] > datetime.date(date_now):
raise exceptions.Warning('开始日期不能大于当前日期')
elif data['start_date'] > data['end_date']:
raise exceptions.Warning('开始日期不能大于结束日期')
elif data['end_date'] > datetime.date(date_now):
raise exceptions.Warning('结束日期不能大于当前日期')
ctx['start_date'] = data['start_date']
ctx['end_date'] = data['end_date']
else:
raise exceptions.Warning('查询日期不能为空')
ctx['werks'] = data['werks']
ctx['vtweg'] = data['vtweg']
ctx['vkorgtext'] = data['vkorgtext']
ctx['kunnr'] = data['kunnr']
ctx['ywy'] = data['ywy']
domain_list = []
sql1 = ('LFADT', '>=', ctx['start_date'])
sql2 = ('LFADT', '<=', ctx['end_date'])
domain_list.append(sql1)
domain_list.append(sql2)
if ctx['werks'] and ctx['werks'] != '0000':
werks_query = ('werks', '=', ctx['werks'])
domain_list.append(werks_query)
if ctx['vtweg']:
vtweg_query = ('vtweg', '=', ctx['vtweg'][0])
domain_list.append(vtweg_query)
if ctx['vkorgtext']:
vkorgtext_query = ('vkorgtext', 'ilike', ctx['vkorgtext'][0])
domain_list.append(vkorgtext_query)
if ctx['kunnr']:
kunnr_query = ('kunnr', '=', ctx['kunnr'][0])
domain_list.append(kunnr_query)
if ctx['ywy']:
ywy_query = ('ywy', '=', ctx['ywy'][0])
domain_list.append(ywy_query)
# 删除查询时创建的数据行
self.init_outbound_date(ctx)
return {
'name': '出库报表查询',
'view_type': 'form',
'view_mode': 'tree,graph',
'res_model': 'outbound.final',
'type': 'ir.actions.act_window',
'context': ctx,
'domain': domain_list,
# 'views': [[2812, 'dashboard'], ],
# 'context': ctx.update({'dashboard_view_ref': 'outbound_report.outbound_report_dashboard_view'}),
}
def userinsertPurchase():
try:
if adminLoginSession() == 'user':
purchaseVO = PurchaseVO()
purchaseDAO = PurchaseDAO()
purchase_LoginId = session['session_loginId']
purchaseDate = datetime.date(datetime.now())
purchaseTime = datetime.time(datetime.now())
purchase_PackageId = request.args.get('purchase_PackageId')
purchaseVO.purchase_LoginId = purchase_LoginId
purchaseVO.purchaseDate = purchaseDate
purchaseVO.purchaseTime = purchaseTime
purchaseVO.purchase_PackageId = purchase_PackageId
purchaseDAO.insertPurchase(purchaseVO)
return redirect(url_for('userViewPurchase'))
else:
return adminLogoutSession()
except Exception as ex:
print(ex)
def compare_dates(husb_death, wife_death, divorce):
if (husb_death == 'NA'):
wife_death = datetime.strptime(str(wife_death), "%d %b %Y")
wife_death = datetime.date(wife_death)
divorce = datetime.strptime(str(divorce), "%d %b %Y")
divorce = datetime.date(divorce)
if (divorce > wife_death):
return True
else:
return False
elif (wife_death == 'NA'):
husb_death = datetime.strptime(str(husb_death), "%d %b %Y")
husb_death = datetime.date(husb_death)
divorce = datetime.strptime(str(divorce), "%d %b %Y")
divorce = datetime.date(divorce)
if (divorce > husb_death):
return True
else:
return False
else:
husb_death = datetime.strptime(str(husb_death), "%d %b %Y")
husb_death = datetime.date(husb_death)
wife_death = datetime.strptime(str(wife_death), "%d %b %Y")
wife_death = datetime.date(wife_death)
divorce = datetime.strptime(str(divorce), "%d %b %Y")
divorce = datetime.date(divorce)
if (divorce > husb_death or divorce > wife_death):
return True
else:
return False
def start(self):
self.curfile = None
self.date_today = [
int(i) for i in str(datetime.date(datetime.now())).split('-')
]
self.date_list, self.date_list1, self.date_list2 = [], [], []
self.second_name_constructor = []
self.second_name_checker = []
self.second_name_approv = []
self.menu_list = [('File', [('Новые настройки', self.onNew),
('Загрузить настройки', self.load),
('Сохранить настройки', self.save),
('Сохранить как', self.save_as),
('Выйти', sys.exit)])]
self.data_save = [
('constructor', self.second_name_constructor),
('checker', self.second_name_checker),
('approver', self.second_name_approv),
('construscor_date',
lambda: self.date_to_list(self.date_list, self.date)),
('chceker_date',
lambda: self.date_to_list(self.date_list1, self.date_1)),
('approv_date',
lambda: self.date_to_list(self.date_list2, self.date_2)),
('detail_number', lambda: self.detail_number.toPlainText()),
('detail_name', lambda: self.detail_name.toPlainText()),
('factory_name', lambda: self.factory_name.toPlainText()),
('scale', lambda: self.scale.currentIndex())
]
self.data_load = [
('constructor', self.second_name_constructor),
('checker', self.second_name_checker),
('approver', self.second_name_approv),
('construscor_date', self.date_list),
('chceker_date', self.date_list1),
('approv_date', self.date_list2),
('detail_number', lambda k: self.detail_number.setPlainText(k)),
('detail_name', lambda k: self.detail_name.setPlainText(k)),
('factory_name', lambda k: self.factory_name.setPlainText(k)),
('scale', lambda k: self.scale.setCurrentIndex(k))
]
self.scale_list = [
'100:1', '50:1', '40:1', '20:1', '10:1', '5:1', '4:1', '2,5:1',
'2:1', '1:1', '1:2', '1:2,5', '1:4', '1:5', '1:10', '1:15', '1:20',
'1:25', '1:40', '1:50', '1:75', '1:100', '1:200', '1:400', '1:500',
'1:800', '1:1000'
]
def __init__(self):
QtWidgets.QDialog.__init__(self)
self.construct_class = MakeWidgets()
self.date_today = [
int(i) for i in str(datetime.date(datetime.now())).split('-')
]
self.setupUi(self)
self.except_folders_list = []
self.constructor_list = []
self.checker_list = []
self.add_default_watermark = False
self.auto_save_folder = False
self.watermark_path = ''
self.watermark_position = []
self.sort_files = False
self.load_settings = self.get_settings()
if self.load_settings:
self.apply_settings()
def crawl(request):
menu_db = Menu.objects.all()
menu_db.delete()
#menus = geupsik.menuParsing(datetime.date.year, datetime.date.month, datetime.date.day)
get_menu(tday)
f = open("menuPaper.txt", 'r')
lines = f.readlines()
sl = ""
sd = ""
for l in lines:
l = l.split("!")
if l[0] is datetime.date():
sl = l[1]
sd = l[2]
create_menu_db(tday, sl, sd)
return 0
def main():
# Ignore warnings:
import warnings
warnings.simplefilter("ignore")
args = sys.argv
config_file_path = '{}/elasticsearch_backup_config.yaml'.format(config_dir)
config = load_config(config_file_path)
hostport = config['HOSTPORT']
repo_name = config['REPO']
limit = config['LIMIT'] # So ngay rotate snapshot
use_searchguard = config['USE_SEARCHGUARD']
os.environ['NO_PROXY'] = hostport
if len(args) == 1:
snapshot_name = 'snapshot-' + str(datetime.date(datetime.now()))
take_snapshot(hostport, repo_name, snapshot_name, use_searchguard)
rotate_snapshot(hostport, repo_name, limit, use_searchguard)
else:
if '--list-all-snapshots' in args:
print(get_all_snapshot_names(hostport, repo_name, use_searchguard))
elif '--check-one-snapshot' in args:
if len(args) < 3:
print('Missing snapshot name !')
sys.exit(1)
else:
check_snapshot(hostport, repo_name, args[2], use_searchguard)
elif '--delete-one-snapshot' in args:
if len(args) < 3:
print('Missing snapshot name !')
sys.exit(1)
else:
delete_snapshot(hostport, repo_name, args[2], use_searchguard)
elif '--take-snapshot' in args:
if len(args) < 3:
print('Missing snapshot name !')
sys.exit(1)
else:
take_snapshot(hostport, repo_name, args[2], use_searchguard)
else:
print('Invalid argument !')
def calculate_age():
try:
name = name_entry.get()
bday = Person(
name,
datetime.date(int(year_entry.get()), int(month_entry.get()),
int(date_entry.get())))
textArea = tk.Text(master=win, height=10, width=30)
textArea.grid(column=1, row=6)
answer = "Heyy {bady}!!!.You are {age} years old!!! ".format(
bady=name, age=bday.age())
textArea.insert(tk.END, answer)
# Clear Entry Box after click sumit Button
name_entry.delete(0, tk.END)
date_entry.delete(0, tk.END)
except ValueError:
return messagebox.askretrycancel(
'Warning', 'Plzz Enter Detail and Currect DOB ?')
def reportToExcel(itemResult):
# 实例化一个Workbook()对象(即excel文件)
wbk = xlwt.Workbook()
# 新建一个名为Sheet1的excel sheet。此处的cell_overwrite_ok =True是为了能对同一个单元格重复操作。
sheet = wbk.add_sheet('Sheet1', cell_overwrite_ok=True)
# 遍历result中的没个元素。
i = 0
if len(itemResult) > 0:
for item in itemResult:
try:
if 'answer' in item and 'question' in item:
sheet.write(i, 0, item['question'])
sheet.write(i, 1, item['answer'])
i = i + 1
except:
pass
# 获取当前日期，得到一个datetime对象如：(2016, 8, 9, 23, 12, 23, 424000)
today = datetime.today()
# 将获取到的datetime对象仅取日期如：2016-8-9
today_date = datetime.date(today)
# 以传递的name+当前日期作为excel名称保存。
wbk.save("oushen-" +keyword + "-"+ str(today_date) + '.xls')
szzs_df = jq.get_price('000001.XSHG',
end_date=d,
frequency='daily',
fields=['open', 'close', 'high', 'low', 'volume'],
skip_paused=True,
fq='pre')
szzs_df.reset_index(inplace=True, drop=False)
szzs_list = szzs_df.values.tolist()
total = 0
sql10 = "truncate table szzs"
cursor.execute(sql10)
connect.commit()
for j in range(len(szzs_list)):
try:
sql = "INSERT INTO szzs (date,open,close,high,low,volume) VALUES ( '%s', %.2f ,%.2f ,%.2f ,%.2f,%.2f )"
date = datetime.date(
datetime.fromtimestamp(szzs_list[j][0].timestamp()))
data = (date, szzs_list[j][1], szzs_list[j][2], szzs_list[j][3],
szzs_list[j][4], szzs_list[j][5])
cursor.execute(sql % data)
except Exception as e:
connect.rollback() # 事务回滚
continue
else:
connect.commit() # 事务提交
total = total + cursor.rowcount
print('上证指数历史数据更新完成，共更新了', total, '条数据')
#更新日期表
total = 0
date_list = []
sql = "SELECT date FROM szzs order by id "
dm_new_list=df_new.values.tolist()
#获取最新日期表
#1.更新上证指数
szzs_df=jq.get_price('000001.XSHG', end_date=d, frequency='daily', fields=['open', 'close', 'high', 'low', 'volume'], skip_paused=True, fq='pre')
szzs_df.reset_index(inplace=True,drop=False)
szzs_list=szzs_df.values.tolist()
total=0;
sql10="truncate table szzs"
cursor.execute(sql10)
connect.commit()
for j in range(len(szzs_list)):
try:
sql = "INSERT INTO szzs (date,open,close,high,low,volume) VALUES ( '%s', %.2f ,%.2f ,%.2f ,%.2f,%.2f )"
date = datetime.date(datetime.fromtimestamp(szzs_list[j][0].timestamp()))
data = (date,szzs_list[j][1],szzs_list[j][2],szzs_list[j][3],szzs_list[j][4],szzs_list[j][5])
cursor.execute(sql % data)
except Exception as e:
connect.rollback() # 事务回滚
continue
else:
connect.commit() # 事务提交
total=total+cursor.rowcount
print('上证指数历史数据更新完成，共更新了',total,'条数据')
#2.更新日期表
total=0;
date_list=[]
sql = "SELECT date FROM szzs order by id "
sql3 = "SELECT dm FROM dmb order by id "
cursor.execute(sql3)
for row in cursor.fetchall():
if row[0].startswith('6'):
r = row[0] + '.XSHG'
else:
r = row[0] + '.XSHE'
dm_list.append(r)
for i in range(0, len(dm_list)):
df1 = jq.get_price(dm_list[i],
end_date='2019-05-10',
frequency='daily',
fields=['open', 'close', 'high', 'low', 'volume'],
skip_paused=True,
fq='pre')
df1.reset_index(inplace=True, drop=False)
list = df1.values.tolist()
for j in range(len(list)):
sql = "INSERT INTO %s (date,open,close,high,low,cjl) VALUES ( '%s', %.2f ,%.2f ,%.2f ,%.2f,%.2f )"
date = datetime.date(datetime.fromtimestamp(list[j][0].timestamp()))
data = ('TB' + dm_list[i][:6], date, list[j][1], list[j][2],
list[j][3], list[j][4], list[j][5])
cursor.execute(sql % data)
connect.commit() # 事务提交
print(dm_list[i][:6] + '历史收盘价获取完成')
print('所有历史收盘价获取完成')
# 关闭连接
cursor.close()
connect.close()
from bs4 import BeautifulSoup
import requests
import weathercom
from _datetime import datetime, timedelta
import json
#def updateBoard(): #NOT DONE
start_date = str(datetime.date(datetime.now())).split("-")
end_date = start_date
###
#ide Predictions: /api/datagetter?product=predictions&application=NOS.COOPS.TAC.WL&begin_date=20200726&end_date=20200727&datum=MLLW&station=8637624&time_zone=lst_ldt&units=english&interval=hilo&format=json
###
def loading(loadingWhat):
print("Getting " + loadingWhat, end="")
for i in range(100):
print(".", end="")
print("\n")
def getTides(loadingWhat): #DONE AND UPDATING
loading(loadingWhat)
#JC=8636735
#GW=8636142
#GP=8637624
areas = {"JC": "8636735", "GW": "8636142", "GP": "8637624"}
for key in areas.keys():
tidesURL = requests.get(
"https://tidesandcurrents.noaa.gov/api/datagetter?product=predictions&application=NOS.COOPS.TAC.WL&begin_date={0}{1}{2}&end_date={0}{1}{2}&datum=MLLW&station={3}&time_zone=lst_ldt&units=english&interval=hilo&format=json"
else:
r = row[0] + '.XSHE'
dmb_list.append(r)
for o in range(0, len(dmb_list)):
zjl_df = jq.get_money_flow([dmb_list[o]],
start_date='2015-01-01',
end_date='2019-05-10',
fields=[
'date', 'change_pct', 'net_amount_xl',
'net_amount_l', 'net_amount_m',
'net_amount_s'
])
zjl_list = zjl_df.values.tolist()
total = 0
for p in range(0, len(zjl_list)):
sql = "update %s set zdf=%.2f, cdd=%.2f , dd=%.2f , zd=%.2f , xd=%.2f where date='%s'"
data = ('TB' + dmb_list[o][:6], zjl_list[p][1], zjl_list[p][2],
zjl_list[p][3], zjl_list[p][4], zjl_list[p][5],
datetime.date(
datetime.fromtimestamp(zjl_list[p][0].timestamp())))
cursor.execute(sql % data)
connect.commit() # 事务提交
total = total + cursor.rowcount
print(dmb_list[o], '数据插入完毕,', '共更新了', total, '条数据')
print("所有数据插入完成")
# 关闭连接
cursor.close()
connect.close()
def US11():
HID = []
WID = []
HName = []
WName = []
div_date = []
marr_date = []
SP_ID = []
check_list = []
#conn = sqlite3.connect('DATA.db')
cur = conn.cursor()
cur.execute("SELECT SPOUSE FROM INDIVIDUAL WHERE LENGTH(SPOUSE)>5")
rows = cur.fetchall()
for spid in rows:
SP_ID = list(spid)
SP_ID = SP_ID[0].split(',')
for spid in SP_ID:
cur.execute(
"SELECT MARRIED,DIVORCED,HUSBAND_ID,HUSBAND_NAME,WIFE_ID,WIFE_NAME FROM FAMILY WHERE ID=?",
(spid, ))
rows1 = cur.fetchall()
for m, d, hid, hnm, wid, wnm in rows1:
marr_date.append(re.sub(r'[^0-9a-zA-Z ]', '', str(m)))
div_date.append(re.sub(r'[^0-9a-zA-Z ]', '', str(d)))
HID.append(re.sub(r'[^@0-9a-zA-Z ]', '', str(hid)))
HName.append(re.sub(r'[^0-9a-zA-Z ]', '', str(hnm)))
WID.append(re.sub(r'[^@0-9a-zA-Z]', '', str(wid)))
WName.append(re.sub(r'[^0-9a-zA-Z ]', '', str(wnm)))
if len(HID) != len(set(HID)):
for p, id in enumerate(set(HID)):
div = div_date[p]
if div != "NA":
# do something when there is divorce date for the individual
print(div)
mdt1 = datetime.strptime(str(marr_date[p]), "%d %b %Y")
mdt1 = datetime.date(mdt1)
mdt2 = datetime.strptime(str(marr_date[p + 1]), "%d %b %Y")
mdt2 = datetime.date(mdt2)
div = datetime.strptime(str(div), "%d %b %Y")
div = datetime.date(div)
if mdt1 < mdt2:
end = mdt2
start = mdt1
else:
end = mdt1
start = mdt2
if start < div < end:
continue
else:
check_list.append(id)
print("ERROR: US11: ID-", id,
"is in a bigamous relationship!")
else:
mdt1 = datetime.strptime(str(marr_date[p]), "%d %b %Y")
mdt1 = datetime.date(mdt1)
mdt2 = datetime.strptime(str(marr_date[p + 1]), "%d %b %Y")
mdt2 = datetime.date(mdt2)
if mdt1 < mdt2:
pos = p
end = mdt2
start = mdt1
else:
pos = p + 1
end = mdt1
start = mdt2
cur.execute("SELECT DEATH FROM INDIVIDUAL WHERE ID=?",
(WID[pos], ))
rr = cur.fetchall()
for d in rr:
d = re.sub(r'[^0-9a-zA-Z ]', '', str(d))
if d != "NA":
d = datetime.strptime(str(d), "%d %b %Y")
d = datetime.date(d)
if start < d < end:
continue
else:
check_list.append(id)
print("ERROR: US11: ID-", id,
"has bigamous relationship!")
else:
print("ERROR: Insufficient data - The individual", id,
" may or may not have a bigamous relationship")
if len(WID) != len(set(WID)):
for p, id in enumerate(set(WID)):
div = div_date[p]
if div != "NA":
print(div)
# do something when there is divorce date for the individual
mdt1 = datetime.strptime(str(marr_date[p]), "%d %b %Y")
mdt1 = datetime.date(mdt1)
mdt2 = datetime.strptime(str(marr_date[p + 1]), "%d %b %Y")
mdt2 = datetime.date(mdt2)
div = datetime.strptime(str(div), "%d %b %Y")
div = datetime.date(div)
if mdt1 < mdt2:
end = mdt2
start = mdt1
else:
end = mdt1
start = mdt2
if start < div < end:
continue
else:
check_list.append(id)
print("ERROR: US11: ID-", id,
"is in a bigamous relationship!")
else:
mdt1 = datetime.strptime(str(marr_date[p]), "%d %b %Y")
mdt1 = datetime.date(mdt1)
mdt2 = datetime.strptime(str(marr_date[p + 1]), "%d %b %Y")
mdt2 = datetime.date(mdt2)
if mdt1 < mdt2:
pos = p
end = mdt2
start = mdt1
else:
pos = p + 1
end = mdt1
start = mdt2
cur.execute("SELECT DEATH FROM INDIVIDUAL WHERE ID=?",
(HID[pos], ))
rr = cur.fetchall()
for d in rr:
d = re.sub(r'[^0-9a-zA-Z ]', '', str(d))
if d != "NA":
d = datetime.strptime(str(d), "%d %b %Y")
d = datetime.date(d)
if start < d < end:
continue
print(
"No individual is in a bigamous relationship!")
else:
check_list.append(id)
print("ERROR: US11: ID-", id,
"has bigamous relationship!")
else:
print("ERROR: Insufficient data - The individual", id,
"may or may not have a bigamous relationship")
def getAveragesLongTime(time, key, location, typeOfLocation, sortOperators):
#This function is used to calculate long time averages, set to 180 days.
#Data is fetched from database
data = getFromDataBase(time, key, location, typeOfLocation, -180, sortOperators)
data = [(item[0], item[1], item[2], item[3], item[4], item[5][:5], item[6]) for item in data]
data.sort(key=lambda x: (x[0]))
if not data:
return False
averages = []
'''
#The max and min download values from data are deleted.
#2.5% of highest and lowest measures.
maxVal = max([i[3] for i in data])
minVal = 0.025*maxVal
maxVal = 0.975*maxVal
data = [i for i in data if i[3] < maxVal and i[3] > minVal]
'''
#Averages for each day are calculated from data, and added to a new list.
#The new list contains datetime, download ave, upload ave, latency ave and number of measurements.
for item in data:
#If datetime is not in averages yet, it will be appended.
if datetime.date(item[0].year, item[0].month, item[0].day) not in [i[0] for i in averages]:
averages.append([])
averages[-1].append(datetime.date(item[0].year, item[0].month, item[0].day))
averages[-1].append(item[3])
averages[-1].append(item[4])
averages[-1].append(item[2])
averages[-1].append(1)
#Otherwise, measured values are added.
else:
i = [i[0] for i in averages].index(datetime.date(item[0].year, item[0].month, item[0].day))
averages[i][1] += item[3]
averages[i][2] += item[4]
averages[i][3] += item[2]
averages[i][4] += 1
#And then averages are calculated.
for item in averages:
item[1] = item[1] / item[4]
item[2] = item[2] / item[4]
item[3] = item[3] / item[4]
#After this, moving average is calculated to smoothen the data.
#The time window is set to 11 days, +-5 days from the day of calculation.
windowSize = 15
#Movingaverage is called to download, upload and latency separately.
movingAve = movingaverage([i[1] for i in averages], windowSize)
for i in range(len(averages)):
averages[i][1] = movingAve[i]
movingAve = movingaverage([i[2] for i in averages], windowSize)
for i in range(len(averages)):
averages[i][2] = movingAve[i]
movingAve = movingaverage([i[3] for i in averages], windowSize)
for i in range(len(averages)):
averages[i][3] = movingAve[i]
#First and last 5 entries from averages are deleted. This is because
#convolution lowers their values.
del averages[:7]
del averages[-7:]
return averages
counter += 1
if temp[5]:
temp[2] = temp[2]/counter
temp[3] = temp[3]/counter
temp[4] = temp[4]/counter
averagesNew.append(temp)
averages = averagesNew
if filter:
for line in averages:
line.append(float(0))
return averages
if __name__ == '__main__':
#time = datetime.date object
time = datetime.date(2016,6,1)
#key = uid or 0
key = 0
#location: city or postal code
location = "Espoo"
#typeOfData as follows:
# 0 = db query w/0 area restriction
# 1 = db query by postal code
# 2 = db query by city
typeOfLocation = 2
#from how many days datais acquired
timeWindow = -70
#averages are calculated for every [resolution] hours, values 1-24
resolution = 1
#use filter calculation or not, true/false
filter = 1
from _datetime import datetime,date,time print(datetime.now()) today = datetime.now() print(datetime.date(today)) print(datetime.time(today)) print(datetime.ctime(today)) print(datetime.utcnow())
stu_1 = Student1("ABC", "def", 12)
stu_2 = Student1("DFSF", "deDSFSF", 120)
print(stu_1)
print(stu_1 + stu_2)
stu_1.fullName()
stu_2.fullName()
print(stu_1.rollNo)
print("")
stu_1.updateRollNo()
print("Student1 roll number ", stu_1.rollNo)
print("")
print("Everything in stu1 object", stu_1.__dict__)
print("")
print("Everything in Student1 Class", Student1.__dict__)
print("")
Student1.set_raise_rollno(100)
print("")
print("Student 1 roll number update", stu_1.rollNoUpdate)
print("Student 2 roll number update", stu_2.rollNoUpdate)
print("")
print("No of Students in Student1 Class", Student1.noOfStudentz)
#datetime is imported here
import datetime
d = datetime.date(2018, 9, 22)
Student1.schoolHoliday(d)
class WorkingStudent(Student1):
pass
def start_tracking_order_book(self):
self.ob_filename = self.out_dir + 'order-book-' + \
str(datetime.date()) + '.json'
self.obfp = open(filename, 'w')
