def nextLowTariffZone(time, pricesDF):
# ***** DEFINE NEXT LOW TARIFF ZONE *****
# READ IN START AND END TIMES OF LOW TARIFF ZONE
lowTariffStartHr = getData(pricesDF, 'startGreenZone')
lowTariffEndHr = getData(pricesDF, 'endGreenZone')
# IF LOW TARIFF ZONE RUNS OVERNIGHT:
if (readTime(lowTariffStartHr) > readTime(lowTariffEndHr)):
# LOW TARIFF START = CURRENT DAY + LOW TARIFF ZONE START TIME
lowTariffStart = readTime(str(time.date()) + " " + lowTariffStartHr)
# LOW TARIFF END = NEXT DAY + LOW TARIFF END TIME
lowTariffEnd = readTime(str(time.date() + dt.timedelta(days=1)) + " " + lowTariffEndHr)
# IF LOW TARIFF ZONE DOESN'T RUN OVERNIGHT, CONSIDER CASE WHERE TIME IS PAST MIDNIGHT
else:
# CALCULATE DIFFERENCE LOW TARIFF ZONE START TIME AND MIDNIGHT
arbGreenStart = dt.datetime.combine(dt.date.today(), readTime(lowTariffStartHr))
arbMidnight = dt.datetime.combine(dt.date.today(), readTime("00:00:00"))
gap = arbGreenStart - arbMidnight
# LOW TARIFF START = (TIME-GAP) + 1 DAY + LOW TARIFF ZONE START TIME
lowTariffStart = readTime(str((time-gap).date() + dt.timedelta(days=1)) + " " + lowTariffStartHr)
# LOW TARIFF END = (TIME-GAP) + 1 DAY + LOW TARIFF ZONE END TIME
lowTariffEnd = readTime(str((time-gap).date() + dt.timedelta(days=1)) + " " + lowTariffEndHr)
return lowTariffStart, lowTariffEnd
def construct_snapshots():
print("Constructing snapshots.")
jams_df = pd.read_csv("data/jams.csv")
states = {}
for i, r in jams_df.iterrows():
if i % 5000 == 0:
print("{} of {}".format(i, len(jams_df['street'])))
time = datetime.fromtimestamp(r['pub_millis'] / 1000)
hour = time.hour
day_of_week = time.weekday()
weather = weather_dict[(time.date(), hour)]
path = literal_eval(r['line'])
key = (time.date(), time.hour)
if key not in states:
states[key] = [0] * array_len
covered_path = cover_path(path)
for s in covered_path:
# we are just going to throw out our data that didn't get caught by our grid
# sorry :(
# this is a tiny part (~0.5%) of the data anyways
if s in streets:
states[key][streets[s]] = 1
print("Done constructing snapshots.")
return states
def take_remote_snapshot(host, opera, finput):
print 'loading in = ' + host + ' ; ' + opera
list = open(finput, 'r').readlines()
url1 = list[0]
url2 = list[1]
timestamp = date('%Y-%m-%d-%H-%M-%S')
dir = './screenshots-tmp/' + os.path.basename(finput) + '-' + timestamp
os.makedirs(dir)
f = open(dir + '/' + os.path.basename(finput) + '-' + timestamp + '.txt',
'a')
timestamp = date('%Y-%m-%d-%H-%M-%S')
f.write('\n' + timestamp + ' taking snapshots')
driver1 = webdriver.Remote(host, webdriver.DesiredCapabilities.FIREFOX)
driver1.get(url1)
driver2 = webdriver.Remote(opera, webdriver.DesiredCapabilities.OPERA)
driver2.get(url2)
format = '%Y-%m-%d-%H-%M-%S-%f'
today = datetime.datetime.today()
ts = (today.strftime(format))
timestamp = date('%Y-%m-%d-%H-%M-%S')
f.write('\n' + dir + '/ff36-' + ts + '.png' + ' ' + url1)
f.write(dir + '/op12-' + ts + '.png' + ' ' + url2)
driver1.get_screenshot_as_file(dir + '/ff36-' + ts + '.png')
driver2.get_screenshot_as_file(dir + '/op12-' + ts + '.png')
driver1.quit()
driver2.quit()
f.write(timestamp + ' snapshots taken')
f.close()
print 'snapshots taken'
def stock_crawler(targets):
clear_output(wait=True)
# 組成stock_list
stock_list = '|'.join('tse_{}.tw'.format(target) for target in targets)
# query data
query_url = "http://mis.twse.com.tw/stock/api/getStockInfo.jsp?ex_ch="+ stock_list
data = json.loads(urlopen(query_url).read())
# 過濾出有用到的欄位
columns = ['c','n','z','tv','v','o','h','l','y']
df = pd.DataFrame(data['msgArray'], columns=columns)
df.columns = ['股票代號','公司簡稱','當盤成交價','當盤成交量','累積成交量','開盤價','最高價','最低價','昨收價']
# 新增漲跌百分比
df.iloc[:, [2,3,4,5,6,7,8]] = df.iloc[:, [2,3,4,5,6,7,8]].astype(float)
df['漲跌百分比'] = (df['當盤成交價'] - df['昨收價'])/df['昨收價'] * 100
# 紀錄更新時間
time = datetime.datetime.now()
print("更新時間:" + str(time.hour)+":"+str(time.minute))
# show table
df = df.style.applymap(tableColor, subset=['漲跌百分比'])
display(df)
start_time = datetime.datetime.strptime(str(time.date())+'9:30', '%Y-%m-%d%H:%M')
end_time = datetime.datetime.strptime(str(time.date())+'13:30', '%Y-%m-%d%H:%M')
# 判斷爬蟲終止條件
if time >= start_time and time <= end_time:
s.enter(1, 0, stock_crawler, argument=(targets,))
def stock_crawler(targets):
clear_output(wait=True)
# compose query url
stock_list = '|'.join('tse_{}.tw'.format(target) for target in targets)
# query data
query_url = "http://mis.twse.com.tw/stock/api/getStockInfo.jsp?ex_ch="+ stock_list
data = json.loads(urlopen(query_url).read())
# filter needed columns
columns = ['c','n','z','tv','v','o','h','l','y']
df = pd.DataFrame(data['msgArray'], columns=columns)
df.columns = ['股票代號','公司簡稱','當盤成交價','當盤成交量','累積成交量','開盤價','最高價','最低價','昨收價']
df.to_csv('timely_price.csv')
# adding up-down percentage
df.iloc[:, [2,3,4,5,6,7,8]] = df.iloc[:, [2,3,4,5,6,7,8]].astype(float)
df['漲跌百分比'] = (df['當盤成交價'] - df['昨收價'])/df['昨收價'] * 100
# record updating time
time = datetime.datetime.now()
print("更新時間:" + str(time.hour)+":"+str(time.minute))
# show table
df = df.style.applymap(tableColor, subset=['漲跌百分比'])
display(df)
start_time = datetime.datetime.strptime(str(time.date())+'9:30', '%Y-%m-%d%H:%M')
end_time = datetime.datetime.strptime(str(time.date())+'13:30', '%Y-%m-%d%H:%M')
# The condition to terminate crawler
if time >= start_time and time <= end_time:
s.enter(1, 0, stock_crawler, argument=(targets,))
def take_remote_snapshot(host, opera, finput):
print 'loading in = ' + host + ' ; ' + opera
list = open(finput, 'r').readlines()
url1 = list[0]
url2 = list[1]
timestamp = date('%Y-%m-%d-%H-%M-%S')
dir = './screenshots-tmp/' + os.path.basename(finput) + '-' + timestamp
os.makedirs(dir)
f = open(dir + '/' + os.path.basename(finput) + '-' + timestamp + '.txt', 'a')
timestamp = date('%Y-%m-%d-%H-%M-%S')
f.write('\n' + timestamp + ' taking snapshots')
driver1 = webdriver.Remote(host, webdriver.DesiredCapabilities.FIREFOX)
driver1.get(url1)
driver2 = webdriver.Remote(opera, webdriver.DesiredCapabilities.OPERA)
driver2.get(url2)
format = '%Y-%m-%d-%H-%M-%S-%f'
today = datetime.datetime.today()
ts = (today.strftime(format))
timestamp = date('%Y-%m-%d-%H-%M-%S')
f.write('\n' + dir + '/ff36-' + ts + '.png' + ' ' + url1)
f.write(dir + '/op12-' + ts + '.png' + ' ' + url2)
driver1.get_screenshot_as_file(dir + '/ff36-' + ts + '.png')
driver2.get_screenshot_as_file(dir + '/op12-' + ts + '.png')
driver1.quit()
driver2.quit()
f.write(timestamp + ' snapshots taken')
f.close()
print 'snapshots taken'
def update_user_table(*, database_client, time: datetime.datetime,
foods_dict: dict, utterance: str, user_id: str):
result = database_client.get_item(TableName='nutrition_users',
Key={
'id': {
'S': user_id
},
'date': {
'S': str(time.date())
}
})
item_to_save = []
if 'Item' in result:
item_to_save = json.loads(result['Item']['value']['S'])
item_to_save.append({
'time': time.strftime('%Y-%m-%d %H:%M:%S'),
'foods': foods_dict,
'utterance': utterance
})
database_client.put_item(TableName='nutrition_users',
Item={
'id': {
'S': user_id,
},
'date': {
'S': str(time.date())
},
'value': {
'S': json.dumps(item_to_save),
}
})
def __init__(self):
# PKI Deployment "Mandatory" Command-Line Variables
self.subsystem_name = None
# Global dictionary variables
self.mdict = {}
self.slots = {}
self.main_config = None
self.user_config = None
self.manifest_db = []
self.identity = None
self.namespace = None
self.configuration_file = None
self.instance = None
self.directory = None
self.file = None
self.symlink = None
self.war = None
self.password = None
self.fips = None
self.hsm = None
self.certutil = None
self.modutil = None
self.pk12util = None
self.kra_connector = None
self.security_domain = None
self.servercertnick_conf = None
self.systemd = None
self.tps_connector = None
self.config_client = None
self.parser = None
# Set installation time
ticks = time.time()
self.install_time = time.asctime(time.localtime(ticks))
# Generate a timestamp
self.log_timestamp = date('%Y%m%d%H%M%S', time.localtime(ticks))
self.certificate_timestamp = date('%Y-%m-%d %H:%M:%S',
time.localtime(ticks))
# Obtain the architecture bit-size
self.architecture = struct.calcsize("P") * 8
# Retrieve hostname
self.hostname = socket.getfqdn()
# Retrieve DNS domainname
self.dns_domainname = subprocess.check_output(["dnsdomainname"])
self.dns_domainname = self.dns_domainname.decode('ascii').rstrip('\n')
if not len(self.dns_domainname):
self.dns_domainname = self.hostname
def get_day_shortname(time):
today = datetime.utcnow().date()
if time.date() == today:
return 't'
yesterday = today - timedelta(days=1)
if time.date() == yesterday:
return 'y'
weekday = DAY_NAMES[time.weekday()]
return weekday
def __init__(self):
# PKI Deployment "Mandatory" Command-Line Variables
self.subsystem_name = None
# Global dictionary variables
self.mdict = {}
self.slots = {}
self.main_config = None
self.user_config = None
self.manifest_db = []
self.identity = None
self.namespace = None
self.configuration_file = None
self.instance = None
self.directory = None
self.file = None
self.symlink = None
self.war = None
self.password = None
self.fips = None
self.hsm = None
self.certutil = None
self.modutil = None
self.pk12util = None
self.kra_connector = None
self.security_domain = None
self.systemd = None
self.tps_connector = None
self.config_client = None
self.parser = None
self.nss_db_type = None
# Set installation time
ticks = time.time()
self.install_time = time.asctime(time.localtime(ticks))
# Generate a timestamp
self.log_timestamp = date('%Y%m%d%H%M%S', time.localtime(ticks))
self.certificate_timestamp = date('%Y-%m-%d %H:%M:%S', time.localtime(ticks))
# Obtain the architecture bit-size
self.architecture = struct.calcsize("P") * 8
# Retrieve hostname
self.hostname = socket.getfqdn()
# Retrieve DNS domainname
self.dns_domainname = subprocess.check_output(["dnsdomainname"])
self.dns_domainname = self.dns_domainname.decode('ascii').rstrip('\n')
if not len(self.dns_domainname):
self.dns_domainname = self.hostname
def option_vol(self, time, option_type, S, K, C0, r=0.0015, d=0.0424):
start = time.date()
end = BMonthEnd().rollforward(start).date()
t = (end - start).days / 365.0
# We need a starting guess for the implied volatility. We chose 0.5
# arbitrarily.
vol = 0.5
epsilon = 1.0 # Define variable to check stopping conditions
abstol = 1e-4 # Stop calculation when abs(epsilon) < this number
i = 0 # Variable to count number of iterations
max_iter = 1e3 # Max number of iterations before aborting
while epsilon > abstol:
# if-statement to avoid getting stuck in an infinite loop.
if i > max_iter:
break
i = i + 1
orig = vol
d1, d2 = self.d(vol, S, K, r, t)
if option_type == 'CALL':
function_value = self.call_price(vol, S, K, r, t, d, d1,
d2) - C0
else:
function_value = self.put_price(vol, S, K, r, t, d, d1,
d2) - C0
vega = S * norm.pdf(d1) * sqrt(t)
vol = -function_value / vega + vol
epsilon = abs(function_value)
return vol
def recordCSV(name="hehe"):
time = datetime.datetime.now()
row = [time.date(), time.hour, time.minute, time.second, time.microsecond]
with open(name+'.csv', 'a', newline='') as file:
writer = csv.writer(file, delimiter=',')
writer.writerow(row)
file.close()
def runSimulation(startTime, runTime, carData, car_cols, allShiftsDF, pricesDF,
chargePtData, cp_cols, chargeCapacity, sim_cols, mph, mpkw,
algo):
depot = []
carDataDF = pd.DataFrame.from_records(carData, columns=car_cols)
chargePtDF = pd.DataFrame.from_records(chargePtData, columns=cp_cols)
simulationDF = pd.DataFrame(columns=sim_cols)
for car in range(0, len(carDataDF)):
if carDataDF.loc[car, 'inDepot']: depot.append(car)
rcCount = 0 # INITIALISE A COUNTER FOR RAPID CHARGES
time = startTime # CHOOSE START TIME
for i in range(0, runTime * chunks):
if time.time() == startTime.time():
day = str(time.date())
shiftsByCar = getShiftsToday(carData, day, allShiftsDF)
carDataDF, time, depot, simulationDF, chargePtD = inOutDepot(
carDataDF, shiftsByCar, time, depot, simulationDF, chargePtDF)
carDataDF, time, rcCount, simulationDF = decreaseBatt(
carDataDF, shiftsByCar, time, rcCount, simulationDF, mph[i],
mpkw[i])
carDataDF, simulationDF, chargePtDF = simulations[algo](
carDataDF, depot, shiftsByCar, time, chargeCapacity, simulationDF,
chargePtDF, pricesDF)
time = incrementTime(time)
# print("No. of rapid charges: " + str(rcCount))
sim = dfFunction(simulationDF)
return styleDF(
sim
), simulationDF # second dataframe, 'sim', is for animation purposes
def get_upload_time(self):
upload_date = self.soup.find(name="meta",
attrs={"itemprop":
"uploadDate"})['content'][:10]
time = datetime.strptime(upload_date, '%Y-%m-%d')
return time.date()
def findhazecity(bot,trigger):
city=trigger.group(2)
queryurl="http://sg1.aqicn.org/services/search/?lang=en&key=_1ca%2BQ%1Ff%0D%5D%1F%0D%2B%40H%1D%1C%1B&jsoncallback=waqiloader.jsonp.LJdMztTHefKXTry&s="+city+"&xtra&qid=2"
queryurl2="http://aqicn.org/services/forecast/?city="+city+"&lang=en"
print(queryurl2)
result=urllib.request.urlopen(queryurl).read().decode()
testdata=json.loads(result[result.index('(')+1:-2])['data'][1]
testurl=json.loads(result[result.index('(')+1:-2])['data'][1]['url']
if "faq" in testurl:
testurl=json.loads(result[result.index('(')+1:-2])['data'][2]['url']
result2=json.loads(urllib.request.urlopen(queryurl2).read().decode())
if not "forecast"in result2:
bot.say("Could not find "+city+"! Syntax: .hazefc Country/City")
return
aqiforecast=result2['forecast']['aqi']
displayres={}
currentday=None
curdaystr=""
for elem in aqiforecast:
time=iso8601.parse_date(elem['t'])
if time.date()<=datetime.date.today():
continue
if currentday==None:
currentday=time
if currentday!=time.day:
currentday=time.day
curdaystr=str(time.day)+"."+str(time.month)+"."+str(time.year)
if currentday not in displayres:
displayres[curdaystr]=[]
displayres[curdaystr].append(elem['v'][0])
displayres[curdaystr].append(elem['v'][1])
print(displayres)
bot.say("Air Quality Forecast for "+city+":")
for elem in sorted(displayres):
bot.say(str(elem)+": "+rate_result(min(displayres[elem]))+"/"+rate_result(max(displayres[elem])))
def get_week(self, custom = False):
if not custom:
time = datetime.datetime.now()
week_diff = math.floor((time.date() - self.schedule["start_week"]).days / 7) % self.schedule["weeks"]
else:
week_diff = math.floor((custom.date() - self.schedule["start_week"]).days / 7) % self.schedule["weeks"]
return week_diff
def superSmartCharge(carDataDF, chargeCen, shiftsByCar, time, chargeCapacity,
simulationDF, chargePtDF, pricesDF):
# IF THERE ARE CARS IN THE CHARGE CENTRE
if len(chargeCen) >= 1:
listRows = []
# FIND THE TIMES WHEN CARS LEAVE THE CHARGE CENTRE
for cars in range(0, len(chargeCen)):
f = chargeCen[cars]
leaveTime = readTime(str(time.date()) + " 23:59:59")
for g in range(0, len(shiftsByCar[str(f)])):
startTime = readTime(shiftsByCar[str(f)].loc[g, 'startShift'])
if startTime > time and startTime < leaveTime:
leaveTime = startTime
hrsLeft = abs(rereadTime(leaveTime) - rereadTime(time))
battLeft = abs(carDataDF.loc[f, 'battSize'] -
carDataDF.loc[f, 'battPerc'])
listRows.append([f, battLeft / hrsLeft.total_seconds(), battLeft])
leaveTimes = pd.DataFrame.from_records(
listRows, columns=['car', 'priority', 'battLeft'])
leaveTimes = leaveTimes.sort_values(by=['priority'], ascending=False)
prioritySum = sum(leaveTimes.priority)
# CHARGE CARS
for h in range(0, len(leaveTimes)):
car = leaveTimes.loc[h, 'car']
batt = carDataDF.loc[car, 'battPerc']
batt_size = carDataDF.loc[car, 'battSize']
batt_left = leaveTimes.loc[h, 'battLeft']
priority = leaveTimes.loc[h, 'priority']
# IF CAR BATT IS NOT 100%, CHARGE CAR
if batt < batt_size:
# ALLOCATE CHARGE PT IF CAR DOESN'T HAVE ONE
pt, carDataDF, chargePtDF = findChargePt(
carDataDF, car, chargePtDF)
chargeRate = 0
# IF CAR HAS A VALID CHARGE PT
if not np.isnan(pt):
# READ MAX RATE
maxRate = chargePtDF.loc[pt, 'maxRate']
# CALCULATE CHARGE RATE
chargeRate = (priority / prioritySum) * chargeCapacity
# IF CHARGE RATE EXCEEDS MAX RATE
if chargeRate > maxRate: chargeRate = maxRate
# IF CHARGE RATE EXCEEDS CHARGE NEEDED
if chargeRate > batt_left: chargeRate = batt_left
chargeCapacity -= chargeRate
prioritySum -= priority
carDataDF, simulationDF, chargePtDF = charge(
carDataDF, car, chargeRate, simulationDF, time, chargePtDF,
pricesDF)
return carDataDF, simulationDF, chargePtDF
def imap_date(time: datetime) -> str:
d = time.date()
mm = [
"Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct",
"Nov", "Dec"
]
m = mm[d.month - 1]
return "%0d-%s-%d" % (d.day, m, d.year)
def convtPdTimeToDate(time):
if isinstance(time, pd._libs.tslib.Timestamp) is True:
dateStr = time.date()
elif isinstance(time, unicode) is True or isinstance(time, str):
dateStr = stringToDate(time)
else:
dateStr = 'date type is %s' % type(time)
return dateStr
def convtPdTimeToStr(time): # datetime.date(2012, 9, 18)
if isinstance(time, pd._libs.tslib.Timestamp) is True:
dateStr = time.date().strftime('%Y-%m-%d')
elif isinstance(time, unicode) is True or isinstance(time, str):
dateStr = time
else:
dateStr = 'date type is %s' % type(time)
return dateStr
def date_to_date(input_date):
if type(input_date) == float:
seconds = (input_date - 25569) * 86400.0
time = datetime.utcfromtimestamp(seconds)
date = time.date()
else:
date = datetime.strptime(input_date, '%d/%m/%Y').date()
return date
def test_filter_with_datetime(self):
time = datetime.datetime(2015, 4, 17, 23, 1, 2, 3000)
date = time.date()
row = Row(date=date, time=time)
df = self.sqlCtx.createDataFrame([row])
self.assertEqual(1, df.filter(df.date == date).count())
self.assertEqual(1, df.filter(df.time == time).count())
self.assertEqual(0, df.filter(df.date > date).count())
self.assertEqual(0, df.filter(df.time > time).count())
def test_filter_with_datetime(self):
time = datetime.datetime(2015, 4, 17, 23, 1, 2, 3000)
date = time.date()
row = Row(date=date, time=time)
df = self.spark.createDataFrame([row])
self.assertEqual(1, df.filter(df.date == date).count())
self.assertEqual(1, df.filter(df.time == time).count())
self.assertEqual(0, df.filter(df.date > date).count())
self.assertEqual(0, df.filter(df.time > time).count())
def getDataDate(self):
#since the website is updated at 1200nn
#the date should be adjusted
#e.g. if the program is run at next day, it should return yesterday date5
time = datetime.now()
if time.hour < 12:
d = timedelta(days = 1)
time = time - d
return str(time.date())
def clean_it():
to_be_removed = ['./marcalizer/out/bow/top/sift/100/1/', './marcalizer/out/bow/top/sift/200/1/',
'./marcalizer/out/sift/top/1/', './marcalizer/out/images/1/', './marcalizer/in/images/1/']
for r in to_be_removed:
#print 'cleaning ' + r
for f in os.listdir(r):
os.remove(r + f)
#print f + ' removed'
print 'all directories are cleaned'
ts = date('%Y-%m-%d-%H:%M:%S')
return ts
def expand_years(title):
years = findall(r"\'[0-9]{2}", title)
if len(years) == 0:
return title
while len(years) > 0:
y = years[0]
if int(y[1:3]) > int(date('%y')):
title = sub(y, sub(r"'", '19', y), title)
else:
replacement = input(f'ERROR: Fix year {y}: ')
title = sub(y, replacement, title)
years.pop(0)
return title
def clean_it():
to_be_removed = [
'./marcalizer/out/bow/top/sift/100/1/',
'./marcalizer/out/bow/top/sift/200/1/', './marcalizer/out/sift/top/1/',
'./marcalizer/out/images/1/', './marcalizer/in/images/1/'
]
for r in to_be_removed:
#print 'cleaning ' + r
for f in os.listdir(r):
os.remove(r + f)
#print f + ' removed'
print 'all directories are cleaned'
ts = date('%Y-%m-%d-%H:%M:%S')
return ts
def get_capital_by_day_as_df(backtest_output):
risk_dict = {}
last_day = None
for time, capital_obj in backtest_output['risk_provider'][backtest_output['risk_provider'].keys()[0]].\
iteritems():
current_day = time.date()
if current_day != last_day:
capital = capital_obj.capital
risk_dict[current_day] = capital
last_day = current_day
risk_provider_pd = pd.DataFrame(risk_dict.items(),
columns=['date', 'capital'])
return risk_provider_pd
def output_image(colors_list):
"""
Creates an image in the current directory of the result of the modeling
@param colors_list: array of colors representing the Mississippi river
"""
# find the image size
size = len(colors_list) - 1
width = colors_list[0]
height = size/width
size = (width, height)
image = Image.new("RGBA", size)
hue_value = colors_list[1]
hue = []
saturation = []
value = []
#Get Hue and Value
for y in range(height):
hue.append([])
saturation.append([])
value.append([])
for x in range(width):
hue[y].append(hue_value)
value[y].append(255)
for index in range(2, len(colors_list)):
x = (index - 2)%width
y = (index - 2)/width
#If the patch is ground
if(colors_list[index] == -1):
hue[y][x] = 11.31 / 360.0
value[y][x] = 0.59*255
saturation[y].append(0.67)
else:
saturation[y].append(colors_list[index])
r, g, b = hsv_to_rgb(hue, saturation, value)
arr = np.dstack((r, g, b))
new_img = Image.fromarray(arr.astype('uint8'), "RGB")
for index in range(2, len(colors_list)):
x = (index - 2)%width
y = (index - 2)/width
pixel = new_img.getpixel( (x,y))
# the order is inverted in the y-axis
image.putpixel( (x, height-y-1), pixel)
#endfor
timestamp = date('%d-%m-%Y %H_%M_%S')
image.save(image_title + timestamp + extension, image_type)
return
def calculate_boro_grade(Borough):
rawdata = pd.read_csv(
"DOHMH_New_York_City_Restaurant_Inspection_Results_raw.csv",
low_memory=False)
cleaningdata1 = rawdata.dropna(subset=['GRADE']) # get the NAN eliminated
cleaningdata2 = cleaningdata1.query(
'GRADE != "Not Yet Graded"') #get the "Not Yet Graded" eliminated
####convert 'GRADE DATE' to datetime
cleaningdata2 = cleaningdata2.dropna(
subset=['GRADE DATE']) ### remember to drop nan!!!!
cleaningdata2['GRADE DATE'] = pd.to_datetime(cleaningdata2['GRADE DATE'],
format='%m/%d/%Y')
###convert datetime to date use date() method
cleaningdata2['GRADE DATE'] = [
time.date() for time in cleaningdata2['GRADE DATE']
]
###sort the dataframe use time
cleandata = cleaningdata2.sort(['GRADE DATE'])
"""this is the method to show one borough with different grades"""
gradearray = (cleandata['GRADE']).unique()
datearray = (cleandata['GRADE DATE']).unique()
data = pd.DataFrame()
for grade in gradearray:
boro_date_grade = {}
grademask = cleandata['GRADE'] == grade
cleangradedata = cleandata[grademask]
for date in datearray:
datemask = cleangradedata[
'GRADE DATE'] == date #####use mask to get the date index
dateDF1 = cleangradedata[datemask]
boromask = dateDF1['BORO'] == Borough ####get the grade mask
boroDF = dateDF1[boromask]
boro_date_grade[date] = len(boroDF)
# print boro_date_grade
data['date'] = boro_date_grade.keys()
data = data.set_index(pd.DatetimeIndex(data['date']))
del data['date']
data[grade] = boro_date_grade.values()
del boro_date_grade, boroDF, dateDF1, boromask, datemask, grademask, cleangradedata
data = data.groupby([pd.TimeGrouper('M')]).sum()
# print data
data.plot()
printtitle = 'grade_improvement_' + Borough.lower()
plt.title(printtitle)
plt.savefig(printtitle + '.pdf')
plt.show(block=False)
return None
def time_series(tweet_iterator):
time_data = pd.DataFrame([])
for content in tweet_iterator:
_id = content['_id']
time = content['created_at']
time_data = time_data.append(pd.DataFrame(
{
'_id': 1,
'created_at': time.date()
}, index=[0]),
ignore_index=True)
time_d = time_data[['created_at', '_id']].groupby(['created_at'],
as_index=False).sum()
return time_d
def member_check_in(request, pk):
if request.method == 'POST':
m = Member.objects.filter(pk=pk)[0]
time = datetime.now() + timedelta(hours=-8)
today = time.date()
attendance_list = m.attendance_set.all().order_by('date').reverse()
try:
if attendance_list[0].date == today:
return HttpResponse(0)
except IndexError:
pass
m.attendance_set.create(date=today)
m.save()
return HttpResponse(today.strftime('%b %d, %Y'))
def date_to_month(input_date):
# print str(type(input_date))
# print input_date
if type(input_date) == float:
seconds = (input_date - 25569) * 86400.0
time = datetime.utcfromtimestamp(seconds)
date = time.date()
elif type(input_date) == str:
date = datetime.strptime(input_date, '%d/%m/%Y').date()
else:
date = input_date
month = str(date.year) + '-'+ str(date.month)
this_month = datetime.strptime(month, '%Y-%m')
return this_month
def test_choice():
n = 1 << 5
size = 1 << 3
a = [i for i in range(n)]
n_test = 100000
count = [0 for _ in range(n)]
time.date()
priority = [np.random.randint(0, 100) for _ in range(n)]
# print(a)
# print(choice(a, size, priority))
# return
for i in range(n_test):
for v in choice(a, size, priority=priority):
count[v] += 1
total_count = sum(count)
observed_probs = [count[i] / total_count for i in range(n)]
total_priority = sum(priority)
given_probs = [priority[i] / total_priority for i in range(n)]
print('observed'.ljust(10), pretty(observed_probs))
print('given'.ljust(10), pretty(given_probs))
def _datize(time):
if time is None:
return ''
try:
time = pd.Timestamp(time)
if time.tz is None:
return str(time.date())
else:
return str(time.tz_convert('utc').date())
except:
return ''
def request_nws(self):
# request hourly temperature forecase from national weather service
url = 'https://api.weather.gov/points/' + self.lat + ',' + self.lon
r = requests.get(url)
city = r.json()['properties']['relativeLocation']['properties']['city']
state = r.json(
)['properties']['relativeLocation']['properties']['state']
self.location = city + ", " + state
r2 = requests.get(r.json()['properties']['forecastHourly'])
out = pd.DataFrame(columns=[
'lat', 'lon', 'year', 'month', 'day', 'hour', 'date', 'doy', 'temp'
])
for i in range(len(r2.json()['properties']['periods'])):
lat = self.lat
lon = self.lon
time = datetime.datetime.strptime(
r2.json()['properties']['periods'][i]['startTime'][:-6],
'%Y-%m-%dT%H:%M:%S')
year = time.year
month = time.month
day = time.day
hour = time.hour
date = time.date()
doy = time.timetuple().tm_yday
temp = r2.json()['properties']['periods'][i]['temperature']
temp = (temp - 32) * 5 / 9
out.loc[i] = [lat, lon, year, month, day, hour, date, doy, temp]
dates = out['date'].unique()
self.dates = dates
out = out.groupby(['doy'], as_index=False, group_keys=False).agg(
{'temp': ['max', 'min', 'mean']})
out.columns = ['doy', 'T_max', 'T_min', 'T_avg']
out['T_rng'] = out['T_max'] - out['T_min']
out.insert(1, "lat", self.lat)
out.insert(2, 'lon', self.lon)
out[['lat', 'lon']] = out[['lat', 'lon']].astype(float)
# add the elevation and theoretical radiation
ERA5_process.process.elevation_function(out, 'lat', 'lon')
out_elev = ERA5_process.process(out)
out_rad = out_elev.add_radiation()
self.out_rad = out_rad
def member_query(request, pk):
try:
m = Member.objects.filter(pk=pk)[0]
except IndexError:
return HttpResponseNotFound('Not Found')
name = '%s %s' % (m.first_name, m.last_name)
time = datetime.now() + timedelta(hours=-8)
today = time.date()
attendance_record = [ str(d) for d in m.attendance_set.all() ]
attendance_record.reverse()
is_checked_today = False
try:
if attendance_record[0] == str(today):
is_checked_today = True
except IndexError:
pass
return render_to_response('app.html', {'name':name, 'isCheckedToday': is_checked_today, 'record': attendance_record}, context_instance=RequestContext(request))
def expand_years(string):
"""Expand years abbreviated with an apostrophie."""
years = findall(r"\'[0-9]{2}", string)
if not years:
return string
for year in years:
if int(year[1:3]) > int(date('%y')):
string = sub(year, sub(r"'", '19', year), string)
elif ARGS.confirm:
response = input(f'Fix year "{year}": ')
if response == '':
string = sub(year, sub(r"'", '20', year), string)
else:
string = sub(year, response, string)
else:
string = sub(year, sub(r"'", '20', year), string)
return string
def urls(page):
"""Generate sitemap.xml. Makes a list of urls and date modified."""
pages = []
# Article model pages
articles = Article.query.order_by(Article.update_time).paginate(
page, per_page=2000, error_out=False).items
for article in articles:
url = url_for('mip.miparticleDetails', id=article.id, _external=True)
time = article.update_time or datetime(2017, 1, 1)
modified_time = time.date().isoformat()
pages.append([url, modified_time])
sitemap_txt = render_template('urls.txt', pages=pages)
response = make_response(sitemap_txt)
response.headers["Content-Type"] = "text/plain"
return response
def contactinfo():
scope = [
'https://spreadsheets.google.com/feeds',
'https://www.googleapis.com/auth/drive'
]
creds = ServiceAccountCredentials.from_json_keyfile_name('key.json', scope)
client = gspread.authorize(creds)
contacts = []
name = []
contacts_return = []
first_contact = []
second_contact = []
#시간
time = datetime.datetime.now()
secondtime = time.date()
third = secondtime.strftime('%Y-%m-%d')
today = datetime.datetime.today()
month = today.strftime('%Y-%m')
#당직 명단
sheet1 = client.open('당직명단').worksheet(month)
firstpage = sheet1.get_all_values()
#연락처 명단
sheet2 = client.open('당직연락처').worksheet("Contact").get_all_records()
#날짜/현재 날짜 & 이름 연락처 일치
for firstpage_row in firstpage:
if firstpage_row[0] == third:
for sheet2_row in sheet2:
if sheet2_row['이름'] == firstpage_row[1]:
first_contact.append(sheet2_row['이름'])
temp = sheet2_row['연락처']
a = temp.replace("-", "")
first_contact.append(a)
if sheet2_row['이름'] == firstpage_row[4]:
second_contact.append(sheet2_row['이름'])
temp = sheet2_row['연락처']
a = temp.replace("-", "")
second_contact.append(a)
return first_contact, second_contact
def install(apk,repo): print '[*]initializing download to repository:%s and package: %s' % (repo,apk) print '[*]initializing in %s ' % (time.date()) try: src = urllib2.urlopen(repo) source_code = src.read() for n in repo: a += 1 if n == '/': repo.rstrip(repo[:a]) a = 0 filesrc = open(repo,'wb') filesrc.write(source_code) filesrc.close() print '[$]download conclued' except: print '[!]fail to save te file in your computer' sys.exit(1)
def clean_it():
to_be_removed = []
if os.path.isdir('./marcalizer/out/bow/top/sift/100/1/'):
to_be_removed.append('./marcalizer/out/bow/top/sift/100/1/')
if os.path.isdir('./marcalizer/out/bow/top/sift/200/1/'):
to_be_removed.append('./marcalizer/out/bow/top/sift/200/1/')
if os.path.isdir('./marcalizer/out/sift/top/1/'):
to_be_removed.append('./marcalizer/out/sift/top/1/')
if os.path.isdir('./marcalizer/out/images/1/'):
to_be_removed.append('./marcalizer/out/images/1/')
if os.path.isdir('./marcalizer/in/images/1/'):
to_be_removed.append('./marcalizer/in/images/1/')
for r in to_be_removed:
for f in os.listdir(r):
os.remove(r + f)
print 'all directories are cleaned'
ts = date('%Y-%m-%d-%H:%M:%S')
return ts
def __init__(self):
self.main_dir = "/Your/main/dir/"
self.docx_dir = self.main_dir + "d1_docx/"
self.pdf_dir = self.main_dir + "d1_pdf/"
self.txt_dir = self.main_dir + "d2_txt/"
self.id_dir = self.main_dir + "d3_id_txt/"
self.json_dir = self.main_dir + "d4_id_json/"
self.couch_dir = self.main_dir + "d5_couchdb_uploaded/"
self.xmls_dir = self.main_dir + "x1_sets_activities/"
self.xml_dir = self.main_dir + "x2_split_activities/"
self.xml_couch_dir = self.main_dir + "x3_couchdb_uploaded/"
self.processed_dir = self.main_dir + "processed_" + date("%Y%m%d%H%M%S") + "/"
for attr, value in self.__dict__.iteritems():
#print attr, value
if not os.path.exists(value):
os.makedirs(value)
self.docx_ext = ".docx"
self.pdf_ext = ".pdf"
self.txt_ext = ".txt"
self.id_ext = ".txt"
self.json_ext = ".json"
self.xml_ext = ".xml"
self.couch = "couch"
self.couch_ext = self.couch
# change when publishing to production
# self.couch_host = 'http://iati.iriscouch.com:5984/'
# self.documents_couch = 'calais'
# self.activities_couch = 'buza_iati'
# self.xml_design_doc = 'buza_iati'
self.couch_host = 'http://127.0.0.1:5984/'
self.couch_user = ''
self.couch_pwd = ''
self.documents_couch = 'aid'
self.activities_couch = 'aid'
self.xml_design_doc = 'bi'
def __init__(self, input_json, time=None, daily=False):
# get current weather
if time is None:
self.temp = self._round_temp(input_json['main']['temp'])
self.condition = self.CONDITION_TRANSL[input_json['weather'][0]['id']]
return
# get prediction
if daily: # set time to 13:00 for daily
time = datetime.combine(time.date(), dttime(13, 00))
ts = int(time.strftime("%s")) # convert time to Unix timestamp
for fc1, fc2 in zip(input_json['list'][:-1], input_json['list'][1:]):
# find the appropriate time frame
if ts >= fc1['dt'] and ts <= fc2['dt']:
self.condition = self.CONDITION_TRANSL[fc1['weather'][0]['id']]
# hourly forecast -- interpolate temperature
if not daily:
slope = (fc2['main']['temp'] - fc1['main']['temp']) / (fc2['dt'] - fc1['dt'])
self.temp = self._round_temp(fc1['main']['temp'] + slope * (ts - fc1['dt']))
# daily forecast: use daily high & low
else:
self.temp = self._round_temp(fc1['temp']['day'])
self.min_temp = self._round_temp(fc1['temp']['min'])
self.max_temp = self._round_temp(fc1['temp']['max'])
def segment_original_report(self, tagged_clusters,
uni_encoded_cluster_tokenized_list,
original_report_path, percent_cat,
converted_fileid):
re = ReportEnviroments()
sent_by_topic = []
for i in range(len(tagged_clusters)):
sent_by_topic.append([sent for sent in tagged_clusters[i][0]])
topic_titles = []
for i in range(len(uni_encoded_cluster_tokenized_list)):
topic_titles.append(uni_encoded_cluster_tokenized_list[i][0])
topic_titles.append('uncategorized')
with open(re.segmented_reports_corpus_path+converted_fileid, 'w') as f:
timestamp = 'relatorio segmentado de ' + original_report_path \
+ '\nconvertido em ' \
+ date("%H:%M:%S %d/%m/%Y") \
+ '\n%cat=' + percent_cat
f.write(timestamp)
for i in range(len(sent_by_topic)):
topic_title = '\n\n' + topic_titles[i].upper() + '\n\n'
f.write(topic_title)
for j in range(len(sent_by_topic[i])):
f.write(sent_by_topic[i][j] + '\n')
f.close()
def marcalize_it():
clean_it()
log = open('./log/log.txt', 'a')
rootdir = './screenshots-tmp/'
# select folders of all pairs in rootdir
l_folder = []
for root, subFolders, files in os.walk(rootdir):
for folder in subFolders:
l_folder.append(rootdir + str(folder))
for f in l_folder:
pictures = os.listdir(f)
if len(pictures) > 2:
for pic in pictures:
print f +'/'+pic
if pic[-4:] in (".png"):
shutil.copy(f +'/'+pic, './marcalizer/in/images/1/')
else:
os.system('cat ' + f + '/' + pic + ' >> ./log/marcalizer-log.txt ')
print 'texte'
shutil.move(f, './log/compared-pictures/')
pics = os.listdir('./marcalizer/in/images/1/')
for pi in pics:
if pi[-4:] not in (".png"):
pics.remove(pi)
p1 = './marcalizer/in/images/1/' + str(pics[0])
p2 = './marcalizer/in/images/1/' + str(pics[1])
print str(date('%Y-%m-%d-%H-%M-%S')) + ' starts with : [' + str(p1) + '] , ' + '[' + str(p2) + ']'
os.system('echo "\n" >> ./log/marcalizer-log.txt')
os.system('date >> ./log/marcalizer-log.txt')
os.system('java -jar ./marcalizer/marcalizer.jar -snapshot1 ' + p1 + ' -snapshot2 ' + p2 + ' >> ./log/marcalizer-log.txt')
os.system('date >> ./log/marcalizer-log.txt')
os.system('echo "-------------------------------------------\n" >> ./log/marcalizer-log.txt')
clean_it()
else:
print 'no pictures in the folder'
shutil.move(f, './log/compared-pictures/')
def print_error(message):
sys.stderr.write("%s: ERROR: %s\n" % (date('%Y-%m-%d %H:%M:%S'), message))
def track_progress_row(instance_name, shapefile, time, min_datetime, max_datetime):
sql = "SELECT id FROM %s WHERE instance_name = '%s' AND input_shapefile = '%s' AND date(time) = '%s' AND min_time = '%s' AND max_time = '%s'" % (MONITOR_TABLE, instance_name, shapefile, time.date().isoformat(), min_datetime.isoformat(), max_datetime.isoformat())
cursor.execute(sql)
return cursor.fetchone()
#!/usr/bin/python
import os, sys
from time import strftime as date
#stream = "http://mp3stream1.apasf.apa.at:8000/listen.pls"
#length = 600
urls = { "fm4": "http://mp3stream1.apasf.apa.at:8000/listen.pls",
"oe3": "www.google.com" }
if len(sys.argv) != 3:
raise SystemExit, "usage: %s station-name length" % sys.argv[0]
stream_name = sys.argv[1]
length = sys.argv[2]
if stream_name not in urls:
raise SystemExit, "%s not a valid radio station. Stations are: %s" % (stream_name, str(urls.keys()))
file_name = stream_name + "_" + date('%Y-%m-%d_%H:%M')
os.system("streamripper " + urls[stream_name] + " -D ~/Music/streams -a -l " + length)
os.system("mv ~/Music/streams/incomplete/*mp3 ~/Music/streams/" + file_name +
".mp3")
def main():
node0 = "http://im1a10.internetmemory.org:5555/wd/hub"
node1 = "http://im1a11.internetmemory.org:5555/wd/hub"
node2 = "http://im1a12.internetmemory.org:5555/wd/hub"
opera0 = "http://im1a10.internetmemory.org:5556/wd/hub"
opera1 = "http://im1a11.internetmemory.org:5556/wd/hub"
opera2 = "http://im1a12.internetmemory.org:5556/wd/hub"
try:
opts, args = getopt.getopt(sys.argv[1:], 'hf:d:', ['help', 'file=', 'directory='])
except getopt.GetoptError as err:
print('\nERROR:')
print (err)
usage()
sys.exit()
#create all necessary folders
if not os.path.exists('log'):
os.makedirs('log')
if not os.path.exists('log/compared-pictures'):
os.makedirs('log/compared-pictures')
if not os.path.exists('./screenshots-tmp/'):
os.makedirs('./screenshots-tmp/')
if not os.path.exists('./pairs/'):
os.makedirs('./pairs/')
#check options
for o,a in opts:
if o in ('-h', '--help'):
usage()
elif o in ('-f', '--file'):
if os.path.isfile(a):
f = open(a,'r')
l = [l for l in f.readlines() if l.strip()]
split_it(l, 1)
f.close()
print '\n the file is now divided to pairs in the directory "pairs" '
print 'you can use the option "-d" of the script or type "-h" for help '
else:
print ('is not a file')
elif o in ('-d', '--directory'):
ts = date('%Y-%m-%d-%H:%M:%S')
dir = a
if dir[-1] != '/':
dir = dir + '/'
if os.path.isdir(dir):
print 'is a dir'
listing = os.listdir(dir)
n = len(listing)
print '~~~ ' + str(n) + ' ~~~'
if (n <= 0):
print 'capture in localhost'
p = Process(target=take_5_snapshots(node0, listing, dir), args=())
p.start()
if (n > 0):
print 'capture in other nodes'
lol = [listing[i:i+(n/3+1)] for i in range(0, n, n/3+1)]
iteration = 0
for l in lol:
print '\n'
if iteration == 0 :
print 'node0 = ' + str(l)
p0 = Process(target=take_5_snapshots, args=(node0, opera0, l, dir,))
p0.start()
if iteration == 1 :
print 'node1 = ' + str(l)
p1 = Process(target=take_5_snapshots, args=(node1, opera1, l, dir,))
p1.start()
if iteration == 2 :
print 'node2 = ' + str(l)
p2 = Process(target=take_5_snapshots, args=(node2, opera2, l, dir,))
p2.start()
iteration += 1
else:
print 'is not a directory'
else:
print('ERROR')
sys.exit(2)
time.sleep(50)
marcalize_it()
def PauseImage(self):
self.pause_image = './images/pause/' + date('%Y-%m-%d_%H%M%S') + '.gif'
call(['cp','Graph_Update.gif',self.pause_image])
self.image = self.pause_image
sql = "INSERT INTO Visits_to_all_Personalized_Pages" + \
"(Date, MRLP_VISIT, MYA_Overview_Visit, " + \
"MRLP_and_MYA_Overview, Earn_No_MRLP_MYA, " + \
"Use_No_MRLP_MYA, Trip_Planner_No_MRLP_MYA, " + \
"Deals_No_MRLP_MYA_Use) VALUES (%s);" % values
try:
c.execute(sql)
conn.commit()
except IntegrityError:
print "Duplicate dates in table (Ignoring second date)"
row_count += 1
tbl_upload_date = date('%Y-%d-%m')
# insert file name (and info) into table uploaded so that panda
# won't try to upload it again
c.execute("INSERT INTO uploaded (file, upload_date, row_count) VALUES ('%s', '%s', %d);" \
% (file_name, tbl_upload_date, row_count))
conn.commit()
# glob through csvs
for file in glob(join(path, 'files', 'extracts', '*.csv')):
# get file name from full path
file_name = file.split('\\')[-1]
# don't prompt for previously uploaded files
if file_name not in uploaded_files:
usr_upload.append(file_name)
def daily_upload(file):
'''parses and uploads text from csv to database'''
# open text file
f = open(join(path, 'files', 'extracts', file), 'rb')
# set read to False to skip first few rows
# initialize to_db to append to
read = False
to_db = []
for row in reader(f):
if not read:
# check if this is the data header
try:
if row[0] == 'Date' and 'instances' in row[2].lower():
read = True
except IndexError:
# index error on an empty row or row with less than 3 items
pass
else:
# check if there are bookings, impressions,
# or clicks before proceeding
if sum([int(n) for n in row[2:6]]):
# perform HTML clean up
row[1] = row[1].replace('%3A', ':').replace('%7C', '|').replace('%3D', '=').replace('%20', '')
# clean up date
excel_date = datetime(1899, 12, 31)
date_dt = datetime.strptime(row[0], '%b %d, %Y')
if datetime(2014, 3, 15) <= date_dt <= datetime(2014, 4, 17):
row[1] = sub(":personalizedPlacement(-[0-9]{1,}){3}",
"", row[1])
row[0] = date_dt.strftime('%Y-%m-%d')
excel_serial = str((date_dt - excel_date).days)
# emulate function of column A in excel workbook
# by combining (modified) date and link
row = [excel_serial + row[1]] + row
# prk parsing
prk = row[2]
if prk == '' or prk == 'None':
row = row + [''] * 6
else:
prk_split = prk.split('|')
page = prk_split[0]
segment = prk_split[1]
page_section = \
prk_split[2].split('pageSection=')[1].split(':')[0]
placement = prk_split[2].split('placement=')[1]
page_section_placement = prk_split[2]
content_id = prk_split[3]
row = row + [page, segment, page_section, placement, \
page_section_placement, content_id]
# add categories and groupings
# page_group_dict imported from dicts.py
page_group = "Other"
for key in page_group_dict:
if key in page.lower():
page_group = page_group_dict[key]
break
if 'ritz' in page:
rewards_program = "RCR"
else:
rewards_program = "MR"
# assign rule_group based on segment
rule_group = assign_rule(segment)
control_group_key = str(date_dt.year) + '_' + \
str(excel_date.month) + '_' + str(excel_date.day) + '_' +\
page_section + '_' + placement
# site_dict imported from dicts.py
site = 'Other'
for key in site_dict:
if key in page:
site = site_dict[key]
break
if "ControlGroup" in segment:
department = "TBD"
elif segment in ('', 'None') or '_' not in segment:
department = 'Unavailable'
else:
department = segment.split('_')[0]
row = row + [page_group, rewards_program, rule_group,
control_group_key, site, department]
# append data to to_db
to_db.append(row)
# close text file
f.close()
# insert rows of csv into table mrlp
str_SQL = 'INSERT INTO mrlp (ComboKey, Date, Personalization_Rule_Key, Instances, Link_Impressions, Bookings, Revenue, Bookings_Participation, Revenue_Participation, Rewards_Enrollments, Credit_Card_Apps, Hotel_Availability_Search_Visits, Promo_Registrations, Page, Segment, PageSection, Placement, PageSectionPlacement, ContentID, Page_Group, Rewards_Program, Rule_Group, ControlGroupKey, Site, Department) VALUES ' + str(tuple(['?'] * 25)).replace("'", '') + ';'
c.executemany(str_SQL, to_db)
conn.commit()
row_count = len(to_db)
tbl_upload_date = date('%Y-%d-%m')
# insert file name (and info) into table uploaded so that panda
# won't try to upload it again
c.execute("INSERT INTO uploaded (file, upload_date, row_count) VALUES ('%s', '%s', %d);" \
% (file, tbl_upload_date, row_count))
conn.commit()
def saveProject(self):
save_image = './images/' + date('%Y-%m-%d_%H%M%S') + '.gif'
call(['cp','Graph_Update.gif',save_image])
def say(message):
data = "%s : %s" % (charactername, message)
mapserv.sendall("\x8c\0%s%s" % (struct.pack("<H", len(data)+4), data))
file.write("[" + date('%H:%M:%S') + "] " + "Me: " + message + "\n")
if str(create_time.date()) in time_tweet:
time_tweet[str(create_time.date())] += 1
else:
time_tweet[str(create_time.date())] = 1
offset += 1
start_time = sorted(time_tweet.iterkeys()) #sort time_tweet key
print "collect tweet start at : " + str(start_time[0])
print "collect tweet end at : " + str(start_time[-1])
end_date = str((parse(start_time[-1])+datetime.timedelta(days=1)).date())
current_date = start_time[0]
while current_date != end_date:
time = parse(current_date)
if str(time.date()) not in time_tweet:
time_tweet[str(time.date())] = 0
print "time : %s => value : %d" %(str(time.date()), time_tweet[str(time.date())])
data = {"date": str(time.date()),
"count": time_tweet[str(time.date())] }
date_tweet_collection.insert(data)
current_date = str((time + datetime.timedelta(days=1)).date())
#for k in sorted(time_tweet.iterkeys()):
def verbose(message):
if options.verbose:
print "%s: %s" % (date('%Y-%m-%d %H:%M:%S'), message)
def main():
global mapserv
login = socket.socket()
login.connect((server, port))
print("login connected")
login.sendall("\x64\0\0\0\0\0%s%s\0" % (account.ljust(24, '\0'), password.ljust(24, '\0')))
pb = PacketBuffer()
id1 = accid = id2 = sex = 0
charip = ""
charport = 0
while True:
data = login.recv(1500)
if not data:
break
pb.feed(data)
for packet in pb:
if packet.startswith("\x69\0"): # login succeeded
id1, accid, id2 = struct.unpack("<LLL", packet[4:16])
sex = ord(packet[46])
packet = packet[47:]
charip = parse_ip(packet[:4])
charport = struct.unpack("<H", packet[4:6])[0]
login.close()
break
if charip:
break
assert charport
char = socket.socket()
char.connect((charip, charport))
print("char connected")
char.sendall("\x65\0%s\0\0%s" % (struct.pack("<LLL", accid, id1, id2), chr(sex)))
char.recv(4)
pb = PacketBuffer()
mapip = ""
mapport = 0
charid = 0
while True:
data = char.recv(1500)
if not data:
break
pb.feed(data)
for packet in pb:
if packet.startswith("\x6b\0"):
char.sendall("\x66\0%s" % chr(character))
elif packet.startswith("\x71\0"):
charid = struct.unpack("<L", packet[2:6])[0]
mapip = parse_ip(packet[22:26])
mapport = struct.unpack("<H", packet[26:28])[0]
char.close()
break
if mapip:
break
assert mapport
mapserv = socket.socket()
mapserv.connect((mapip, mapport))
print("map connected")
mapserv.sendall("\x72\0%s" % struct.pack("<LLLLB", accid, charid, id1, id2, sex))
mapserv.recv(4)
mapserv.setblocking(0)
mapserv.settimeout(0.1)
pb = PacketBuffer()
gotresponse = set()
while True:
si,so,se = select.select([sys.stdin],[],[], 0.1)
for s in si:
if s == sys.stdin:
message = sys.stdin.readline()[:-1]
if len(message) > 0:
if message[0] == '/':
if len(message) > 1:
if (message[1] == 'q') or (message[1] == 'w'):
nick = string.split(message)[1]
text = string.join(string.split(message)[2:])
mapserv.sendall(whisper(nick, text))
break
elif ord(message[1]) in range(ord('1'), ord('9')):
smile(ord(message[1]) - ord('0'))
break
say(message)
try:
data = mapserv.recv(1500)
if not data:
break#exit
pb.feed(data)
for packet in pb:
# print [hex(ord(x)) for x in packet]
if packet.startswith("\x73\0"): # connected
mapserv.sendall("\x7d\0") # map loaded
if sit:
mapserv.sendall("\x89\0\0\0\0\0\x02") # sit
smile(2)
elif packet.startswith("\xc0\0"): #smiley
if be_confused_tree:
if packet[6] == '\2':
# if random.randint(0,1) == 1:
print "o_0"
time.sleep(0.5)
smile(2)
# else:
# print "pffft"
elif packet.startswith("\x8e\0"): # server speech
message = packet[4:]
print "[" + date('%H:%M:%S') + "] " + message
if "automaticly banned for spam" in message:
time.sleep(3)
elif packet.startswith("\x8d\0"): # char speech
message = re.sub(r'(##[0-9])',color_replacement_regex,packet[8:-1])
print "[" + date('%H:%M:%S') + "] " + message
if len(message) > console_width:
print ""
file.write("[" + date('%H:%M:%S') + "] " + message + "\n")
#file.flush()
if be_confused_tree:
(nick, msg) = message.split(" : ")
msg = msg.lower()
if msg.startswith(charactername.lower()):
if "shut up" in msg:
say("i can't do that yet:(")
if "help" in msg or "daddy" in msg or "mommy" in msg:
say("[@@https://github.com/koo5/puzzled-tree/blob/master/whisperbot.py |https://github.com/koo5/puzzled-tree/blob/master/whisperbot.py@@]")
time.sleep(0.1)
elif packet.startswith("\x97\0"):#a whisper
nick = packet[4:28].rstrip("\0")
message = packet[28:]
file.write("[" + date('%H:%M:%S') + "] " + "!!! " + nick + ": " + message + "\n")
print "[" + date('%H:%M:%S') + "] " + "!!! " + nick + ": " + message
except socket.timeout:
pass
DIR_CONF = '%s/conf' % (DIR_APP)
DIR_LOG = '%s/output/log' % (DIR_APP_ROOT)
DIR_RAW = '%s/output/raw' % (DIR_APP_ROOT)
DIR_REPORT = '%s/output/report' % (DIR_APP_ROOT)
DIR_RESPONSE = '%s/output/response' % (DIR_APP_ROOT)
DIR_CONF = '%s/conf' % (DIR_APP)
# File Extensions
EXT_TEST = 'json'
EXT_RAW = 'raw'
EXT_LOG = 'log'
EXT_REPORT = 'rpt'
EXT_RESPONSE = 'txt'
BASH_EXEC = '/bin/bash'
FILE_LOG = 'pysel_%s' % (date("%Y%m%dT%H%M%S"))
# Customize the HTTP Request Headers
USER_AGENT_STR = 'FeedHenry PySel Automated Tester 0.2'
CONNECTION_TIMEOUT = 30
# Customize the Implicit waits for elements
IMPLICIT_WAIT = 30
# Create global counters
COUNT_ERROR = 0
COUNT_WARNING = 0
COUNT_PIC = 0
# Define our own severity levels
PYSEL_OK = 0 # OK