def status():
value = utils.get_portfolio_val(g)
portfolio = utils.get_portfolio(g)
history = utils.get_history(g)
trades = utils.get_trades(g)
top = utils.get_top(g)
cash = g.db.execute("SELECT sym, amount FROM portfolio WHERE sym = ?", ["funds"]).fetchall()[0][1]
return jsonify(cash=cash, value=value, portfolio=portfolio, history=history, trades=trades, top=top)
def print_signals():
files = get_file_list(root_dir)
for f in files:
dd = utils.get_history(f)
dd = indicators.ac(dd)
dd = processor.get_signals(dd)
if (dd.signal.iloc[-1] != 0):
print(f)
print(dd.tail())
print("\n")
def status():
value = utils.get_portfolio_val(g)
portfolio = utils.get_portfolio(g)
history = utils.get_history(g)
trades = utils.get_trades(g)
top = utils.get_top(g)
cash = g.db.execute("SELECT sym, amount FROM portfolio WHERE sym = ?",
["funds"]).fetchall()[0][1]
return jsonify(cash=cash,
value=value,
portfolio=portfolio,
history=history,
trades=trades,
top=top)
def get_doc_lost_history_list(doc_id):
"""
List DocLostHistory data order_by "-created_at"
allows filtering
"""
data_to_show = []
doc_lost = DocLost.query.get_or_404(doc_id)
queryset = filter_queryset(request.args, DocLostHistory)
queryset = queryset.filter_by(source_id=doc_id)
queryset = queryset.order_by(desc("created_at"))
if queryset.count() == 0:
return jsonify(data_to_show)
data_to_show = get_history(doc_lost, queryset)
return jsonify(data_to_show)
def get_pdf(pdf_data):
try:
decoded_data = base64.b64decode(pdf_data).decode('utf-8')
except binascii.Error:
return jsonify({'error': 'Url not valid'}), 400
data_dict = parse_qs(decoded_data.replace('?', ''))
doc_id = data_dict['id'][0] if data_dict['id'] else None
doc_lost = DocLost.query.get_or_404(doc_id)
user = get_current_user()
data = {
'doc_lost': doc_lost,
'history_objects': [],
'user': user,
'user_dep_name': user['dmsudep'].get(str(user.get('dmsudep_id', ''))),
'ref_num': f'{doc_id}{time.strftime("%H%S%d%Y")}',
'ref_date': time.strftime("%Y-%m-%d")
}
if data_dict.get('type') == ['full']:
queryset = DocLostHistory.query.filter_by(source_id=doc_id).order_by(
desc("created_at"))
data['history_objects'] = get_history(doc_lost, queryset)
def get_data_if_empty(obj_dict, name):
result = obj_dict.get(name)
if result is None or result is '':
result = 'Не заповненно'
return result
def get_citizenship_if_empty(obj_dict, name):
result = obj_dict.get(name)
if result is None or result is '':
result = 'Не заповненно'
else:
result = ', '.join([c['name'] for c in result])
return result
data['get_data_if_empty'] = get_data_if_empty
data['get_citizenship_if_empty'] = get_citizenship_if_empty
rendered_html = render_template('pdf_template.html', **data)
rendered_css = render_template('pdf_styles.css')
return render_pdf(HTML(string=rendered_html),
stylesheets=[CSS(string=rendered_css)])
import plotly.offline as offline
from plotly.graph_objs import Layout, Contour, Scatter, Figure
np.seterr(all="raise")
sample_sizes = np.arange(100, 710, 25)
cob_date = "2017-05-25"
delta_t = 0
lm_all = []
keep_all = []
density = LPPLSDensity()
for length in sample_sizes:
data = get_history("bitcoinity_data.csv",
cob_date,
delta_t=delta_t,
length=length,
col="kraken")
F2s, Lm, ms, ws, Ds, tcs, keep = density.get_density(
data.time.as_matrix(), data.price.as_matrix(),
datetime.datetime.strptime(cob_date, "%Y-%m-%d").date(), delta_t)
lm_all.append(Lm)
keep_all.append(keep)
keep_all = 1 - np.array(keep_all).astype(int)
# *********************************************
# * Plotting
# *********************************************
my_color = [[0, "rgb(255, 255, 255)"], [0.4, "rgb(255, 240, 240)"],
[0.7, "rgb(255, 179, 179)"], [1, "rgb(255, 102, 102)"]]
st.dataframe(style_df(df_buy, bar=[]))
st.text('Sell ASAP stocks')
sell_asap = [x for x in sell_asap if x in all_tickers]
df_sell = df[df.index.isin(sell_asap) & (df['Quantity'] > 0)]
st.dataframe(style_df(df_sell, bar=[]))
st.text('Long-term stocks')
long_term = [x for x in long_term if x in all_tickers]
df_long = df[df.index.isin(long_term) & (df['Quantity'] > 0)]
st.dataframe(style_df(df_long, bar=[]))
st.text('See past history')
for ticker in [st.selectbox('Stock of interest', all_tickers)] + all_tickers:
st.text(ticker)
history = get_history(ticker)
# Plot on altair chart
min = history['Close*'].min()
max = history['Close*'].max()
line = alt.Chart(history).mark_line().encode(x='Date',
y=alt.Y('Close*', scale=alt.Scale(domain=(min*.98, max*1.02))),
tooltip=['Date', 'Close*'])
# Create a selection that chooses the nearest point & selects based on x-value
nearest = alt.selection(type='single', nearest=True, on='mouseover', fields=['Date'], empty='none')
# Transparent selectors across the chart to give x-value of the cursor
selectors = alt.Chart(history).mark_point().encode(x='Date', opacity=alt.value(0)).add_selection(nearest)
# Draw points on the line, and highlight based on selection
while not isServer:
clear_screen()
server = input('Please enter chat room: ')
y = get_ya(yatoken)
if not y.exists(server):
answer4 = input('Chat doesn\'t exist. Create? [y/n] ')
if answer4 in yes:
y.mkdir(server)
isServer = True
elif answer4 in no:
pass
else:
isServer = True
clear_screen()
history = get_history(height=10, secret=my_secret, server=server)
history_v = print_history(history)
print('Chatroom: ' + server + '\n' + history_v + 'Enter: ', end='')
isExit = False
while not isExit:
key = get_random_bytes(32)
key = base64.b64encode(key).decode('utf-8')
current_time = datetime.datetime.now().strftime("%d-%b-%y (%H:%M:%S)")
yours = input('')
if yours == 'exit()':
isExit = True
elif yours == 'r':
history = get_history(height=10,
secret=my_secret,
server='/' + server)
def get_history_preview(self):
if '_history_preview' not in self.__dict__:
self.__dict__['_history_preview'] = get_history(self)
return self._history_preview