def get_interval_and_start_time(request):
context = {}
context = get_names_for_all_column_headers()
move_interval = request.GET.get('move_interval', None)
datetime_start = request.GET.get('datetime_start', None)
interval = request.GET.get('interval', None)
if not interval:
interval = 10*60 #default interval is 10 minutes
else:
interval = int(interval)*60 #converting minutes (more suitable) to seconds
if not datetime_start or datetime_start.lower() == 'now':
datetime_start = utils.strftime(utils.get_local_now(), "%Y-%m-%d %H:%M:%S")
start_timestamp = utils.datelocal_totimestamp(utils.strptime(datetime_start, "%Y-%m-%d %H:%M:%S"))
if move_interval and move_interval == 'back':
start_timestamp -= interval
elif move_interval and move_interval == 'forward':
start_timestamp += interval
context['datetime_start'] = datetime_start
context['start_timestamp'] = start_timestamp
context['interval'] = interval
return context
def _write(self, d):
# if not self.queue:
# self.initConnection()
d['timestamp'] = utils.strftime()
m = Message()
p = jsontools.dumps(d)
m.set_body(p)
self.logger.debug("writing to aws: %s" % p)
return self.sqs_conn.get_status('SendMessage', { "MessageBody": m.get_body_encoded() }, self.queuename)
def report(self):
orders = [
self.trade_client.get_order(order.order_id)
for order in self.buy_id + self.sell_id
if order.order_id
]
order_info = [{
'symbol': order.symbol,
'time': strftime(order.finished_at / 1000, fmt='%Y-%m-%d %H:%M:%S.%f'),
'price': round(float(order.filled_cash_amount) / float(order.filled_amount), 6),
'amount': round(float(order.filled_amount), 6),
'fee': round(float(order.filled_fees), 6),
'currency': order.symbol[:-4].upper(),
'vol': float(order.filled_cash_amount),
'direct': order.type.split('-')[0]}
for order in orders
if order.state == 'filled'
]
buy_info = list(filter(lambda x: x['direct']=='buy', order_info))
sell_info = list(filter(lambda x: x['direct']=='sell', order_info))
pay = round(sum([each['vol'] for each in buy_info]), 4)
if pay <= 0:
logger.warning(f'NO REPORT for User {self.account_id}')
return
income = round(sum([each['vol'] - each['fee'] for each in sell_info]), 4)
profit = round(income - pay, 4)
percent = round(profit / self.usdt_balance * 100, 4)
logger.info(f'REPORT for user {self.account_id}')
logger.info('Buy')
for each in buy_info:
currency = each['currency']
symbol_name = '/'.join([currency, 'USDT'])
vol = each['vol']
amount = each['amount']
price = each['price']
fee = round(each['fee'] * price, 6)
each['fee'] = fee
logger.info(f'{symbol_name}: use {vol} USDT, get {amount} {currency}, price {price}, fee {fee} {currency}, at {each["time"]}')
logger.info('Sell')
for each in sell_info:
currency = each['currency']
symbol_name = '/'.join([currency, 'USDT'])
vol = each['vol']
amount = each['amount']
price = each['price']
fee = each['fee']
logger.info(f'{symbol_name}: use {amount} {currency}, get {vol} USDT, price {price}, fee {fee} USDT, at {each["time"]}')
logger.info(f'Totally pay {pay} USDT, get {income} USDT, profit {profit} USDT, {percent}%')
add_profit(self.account_id, pay, income, profit, percent)
total_profit, month_profit = get_profit(self.account_id)
wx_report(self.account_id, self.wxuid, self.username, pay, income, profit, percent, buy_info, sell_info, total_profit, month_profit)
def edit_deployment(request, project_id, deployment_id):
query = get_query("deployment")
deployment = query(deployment_id)
if isinstance( deployment.time_end, (int, long) ):
time_end = utils.strftime(utils.timestamp_todate(deployment.time_end))
else:
time_end = "None"
return render_project_form(
request=request,
project_id=project_id,
post_form=EditDeploymentForm(data=request.POST, instance=deployment),
get_form=EditDeploymentForm(
instance=deployment,
initial={'time_start':
utils.strftime(
utils.timestamp_todate(deployment.time_start)),
'time_end': time_end}),
template_path="project/edit-deployment.html",
success_url="%s?new_element=True" % reverse(
"project:edit-deployment", args=(project_id, deployment_id)))
def do_lsblocked(self, args):
'''列出被封禁用户名单'''
r = []
l = BlockedUser.all()
for u in l:
r.append(unicode('* %s (%s, %s)' % (u.jid,
utils.strftime(u.add_date, timezone),
u.reason)
)
)
r.sort()
n = len(r)
r.insert(0, u'封禁列表:')
r.append(u'共 %d 个 JID 被封禁。' % n)
self.msg.reply(u'\n'.join(r).encode('utf-8'))
def do_old(self, args):
'''聊天记录查询，可选一个数字参数。默认为最后20条。特殊参数 OFFLINE （不区分大小写）显示离线消息（最多 100 条）'''
s = self.sender
q = False
if not args:
q = Log.gql("WHERE type = 'chat' ORDER BY time DESC LIMIT 20")
elif len(args) == 1:
try:
n = int(args[0])
if n > 0:
q = Log.gql("WHERE type = 'chat' ORDER BY time DESC LIMIT %d" % n)
except ValueError:
if args[0].upper() == 'OFFLINE':
q = Log.gql("WHERE time < :1 AND time > :2 AND type = 'chat' ORDER BY time DESC LIMIT 100", s.last_online_date, s.last_offline_date)
else:
pass
if q is not False:
r = []
q = list(q)
q.reverse()
if q:
if datetime.datetime.today() - q[0].time > datetime.timedelta(hours=24):
show_date = True
else:
show_date = False
for l in q:
message = '%s %s %s' % (
utils.strftime(l.time, timezone, show_date),
s.nick_pattern % l.nick,
l.msg
)
r.append(message)
if r:
self.msg.reply(u'\n'.join(r).encode('utf-8'))
else:
self.msg.reply('没有符合的聊天记录。')
else:
self.msg.reply('Oops, 参数不正确哦。')
def get_end(self):
if(self.time_end != None):
return strftime(timestamp_todate(self.time_end))
else:
return ""
def get_start(self):
if(self.time_start != None):
return strftime(timestamp_todate(self.time_start))
else:
return ""
def save_inference_results(ign_on_time_list,
data_list,
path_list,
output_dict,
directory,
args,
key='trn'):
assert key in ['trn', 'tst']
# we will save the whold input data & their corresponding
# cluster assignment and log-likelihood results
df_result = pd.DataFrame()
# output_folder/vin/parameter###/nC=#_result/path_and_signals(key)
directory2 = directory + 'path_and_signals({})/'.format(key)
utils.maybe_exist(directory2)
# get output from output_dict
cluster_assignment_list = output_dict['cluster_assignment']
nll_vector_list = output_dict['nll_vector']
# adjust output vector lengths according to the window size
cluster_assignment_list = \
utils.adjust_output_list(cluster_assignment_list, args.ws)
nll_vector_list = \
utils.adjust_output_list(nll_vector_list, args.ws)
print('> Save summary statistics per cluster ... ({})'.format(key), end='')
_save_summary_statistics_per_cluster(
data_list, cluster_assignment_list, directory, args)
print('> Save segmentation results for all trips ... ({})'.format(key))
# we will iterate over these lists
iterator = zip(ign_on_time_list,
data_list,
path_list,
cluster_assignment_list,
nll_vector_list)
for counter, (ign_on_time,
data_df,
path_df,
cluster_assignment,
nll_vector) in enumerate(iterator):
# trip key and figtitle
prefix_string = directory2 + utils.strftime(ign_on_time)
fig_title = 'ign_on_time: {}'.format(utils.strftime(ign_on_time))
# dataframe
this_df = _concat_data(ign_on_time,
data_df,
path_df,
cluster_assignment,
nll_vector)
# save this df
this_data_path = prefix_string + '_inputData_and_clusterID.csv'
if not os.path.exists(this_data_path):
this_df.to_csv(this_data_path, index=None)
df_result = df_result.append(this_df)
# draw signal plot
sig_path = prefix_string + '_signal.png'
if not os.path.exists(sig_path):
plot_clustering_result(data_df,
cluster_assignment,
nll_vector,
figsize=(15, 10),
title=fig_title,
save_to=sig_path)
# draw path plot
xy_path = prefix_string + '_path.png'
if not os.path.exists(xy_path):
longitude = path_df.longitude.values
latitude = path_df.latitude.values
plot_path_by_segment(longitude,
latitude,
cluster_assignment=cluster_assignment,
title=fig_title,
save_to=xy_path,
show=False)
print('\r[{}] process: {} / {} ({:.1f}%)'
.format(key,
counter + 1,
len(ign_on_time_list),
(counter + 1) / len(ign_on_time_list) * 100), end='')
print('')
# SAVE ALL DATA
print('> Save Input Data and its cluster assignment results ...')
data_path = directory + key + "_inputData_and_clusterID.csv"
if not os.path.exists(data_path):
df_result.to_csv(data_path, index=None)