def get_latest_exchange_rates(f):
currencies = ["RMB", "USD"]
res = { "HKD" : 1 }
for currency in currencies:
recs = records.get_records(f, currency)
res[currency] = float(recs[-1][2])
return res
def check_button_clicked(self, widget, data=None):
records_list = get_records()
#print records_list
self.running = False
time = str(datetime.datetime.now() - self.start_time)
self.time_label.set_text(time)
self.start_button.set_sensitive(True)
self.check_button.set_sensitive(False)
lst = self.collect_words()
i = 0
for word in lst:
#print check_word(word)
if check_word(word):
self.score += len(word)
self.score_label.set_text(str(self.score))
self.icons[i].clear()
self.icons[i].set_from_stock(gtk.STOCK_SPELL_CHECK,
gtk.ICON_SIZE_BUTTON)
self.icons[i].queue_draw()
while (gtk.events_pending()):
gtk.main_iteration()
else:
self.icons[i].clear()
self.icons[i].set_from_stock(gtk.STOCK_CANCEL,
gtk.ICON_SIZE_BUTTON)
self.icons[i].queue_draw()
while (gtk.events_pending()):
gtk.main_iteration()
i += 1
utf_syll = self.syll[0].decode('utf-8') + self.syll[1].decode('utf-8')
add_record(self.score, utf_syll, "None", time)
def get_latest_ratings(f, code):
recs = records.get_records(f, str(code))
recs = [ r for r in recs if datetime.fromtimestamp(r[1]) <= ref_date ]
if len(recs) < 1:
return None
ratings = batch.Ratings(buy_analysts=int(recs[-1][2]), outperform_analysts=int(recs[-1][3]), hold_analysts=int(recs[-1][4]), underperform_analysts=int(recs[-1][5]), sell_analysts=int(recs[-1][6]), target_high=float(recs[-1][7]), target_low=float(recs[-1][8]), target_median=float(recs[-1][9]), target=float(recs[-1][10]))
return ratings
def check_button_clicked(self, widget, data=None):
records_list = get_records()
#print records_list
self.running = False
time = str(datetime.datetime.now()-self.start_time)
self.time_label.set_text(time)
self.start_button.set_sensitive(True)
self.check_button.set_sensitive(False)
lst = self.collect_words()
i = 0
for word in lst:
#print check_word(word)
if check_word(word):
self.score += len(word)
self.score_label.set_text(str(self.score))
self.icons[i].clear()
self.icons[i].set_from_stock(gtk.STOCK_SPELL_CHECK, gtk.ICON_SIZE_BUTTON)
self.icons[i].queue_draw()
while (gtk.events_pending ()):
gtk.main_iteration ();
else:
self.icons[i].clear()
self.icons[i].set_from_stock(gtk.STOCK_CANCEL, gtk.ICON_SIZE_BUTTON)
self.icons[i].queue_draw()
while (gtk.events_pending ()):
gtk.main_iteration ();
i+=1
utf_syll = self.syll[0].decode('utf-8')+self.syll[1].decode('utf-8')
add_record(self.score, utf_syll, "None", time)
def get_latest_forecasts(f, code):
recs = records.get_records(f, str(code))
recs = [ r for r in recs if datetime.fromtimestamp(r[1]) <= ref_date ]
forecasts = {}
if len(recs) < 1:
return forecasts
for r in recs:
raw_key = r[0].split("|")
key = batch.CompoundKey(code=int(raw_key[0]), financial_year=int(raw_key[1]), financial_period=raw_key[2])
if key not in forecasts:
forecasts[key] = batch.ForecastedFundamentals(revenue_analysts=int(r[2]), revenue_high=float(r[3]), revenue_low=float(r[4]), revenue=float(r[5]), eps_analysts=int(r[6]), eps_high=float(r[7]), eps_low=float(r[8]), eps=float(r[9]), dps=float(r[10]))
return forecasts
def get_latest_fundamentals(f, code):
recs = records.get_records(f, str(code))
recs = [ r for r in recs if datetime.fromtimestamp(r[1]) <= ref_date ]
fundamentals = {}
if len(recs) < 1:
return {} #
for r in recs:
raw_key = r[0].split("|")
key = batch.CompoundKey(code=int(raw_key[0]), financial_year=int(raw_key[1]), financial_period=raw_key[2])
if key not in fundamentals:
fundamentals[key] = batch.Fundamentals(financial_period_start=recs[-1][2], financial_period_end=recs[-1][3], reporting_date=recs[-1][4], currency=recs[-1][5], extraordinary_income=float(recs[-1][6]), eps=float(recs[-1][7]), diluted_eps=float(recs[-1][8]), dps=float(recs[-1][9]), sdps=float(recs[-1][10]), cash=float(recs[-1][11]), accounts_receivable=float(recs[-1][12]), inventory=float(recs[-1][13]), current_assets=float(recs[-1][14]), loans=float(recs[-1][15]), ppe=float(recs[-1][16]), intangibles=float(recs[-1][17]), associates=float(recs[-1][18]), noncurrent_assets=float(recs[-1][19]), total_assets=float(recs[-1][20]), accounts_payable=float(recs[-1][21]), bank_debt=float(recs[-1][22]), current_liabilities=float(recs[-1][23]), long_term_debt=float(recs[-1][24]), deposits=float(recs[-1][25]), total_liabilities=float(recs[-1][26]), minority_equity=float(recs[-1][27]), share_capital=float(recs[-1][28]), reserve=float(recs[-1][29]), total_equity=float(recs[-1][30]), interest_revenue=float(recs[-1][31]), interest_payout=float(recs[-1][32]), net_interest_revenue=float(recs[-1][33]), other_revenue=float(recs[-1][34]), revenue=float(recs[-1][35]), cogs=float(recs[-1][36]), gross_profit=float(recs[-1][37]), sales_expense=float(recs[-1][38]), general_expense=float(recs[-1][39]), credit_provisions=float(recs[-1][40]), depreciation=float(recs[-1][41]), operating_income=float(recs[-1][42]), associates_operating_income=float(recs[-1][43]), ebit=float(recs[-1][44]), interest_expense=float(recs[-1][45]), ebt=float(recs[-1][46]), tax=float(recs[-1][47]), minority_interest=float(recs[-1][48]), net_income=float(recs[-1][49]), dividend=float(recs[-1][50]), retained_earnings=float(recs[-1][51]), operating_cash_flow=float(recs[-1][52]), capex=float(recs[-1][53]), investing_cash_flow=float(recs[-1][54]), financing_cash_flow=float(recs[-1][55]), fx_translation=float(recs[-1][56]))
res = {}
latest_period = sorted(fundamentals, key=lambda x: x.financial_year * 4 + financial_period_map[x.financial_period])[-1]
res[latest_period] = fundamentals[latest_period]
return res
def get_latest_shares(f, code):
recs = records.get_records(f, str(code))
recs = [ r for r in recs if datetime.fromtimestamp(r[1]) <= ref_date ]
if len(recs) < 1:
return 0
return float(recs[-1][2])
def get_latest_sector(f, code):
recs = records.get_records(f, str(code))
recs = [ r for r in recs if datetime.fromtimestamp(r[1]) <= ref_date ]
if len(recs) < 1:
return None
return recs[-1][3]
def get_corporate_action_occurrence(f, code, start_date, end_date):
recs = records.get_records(f, str(code))
recs = [ r for r in recs if datetime.strftime(datetime.fromtimestamp(r[1]), "%Y%m%d") >= start_date and datetime.strftime(datetime.fromtimestamp(r[1]), "%Y%m%d") <= end_date ]
return len(recs) > 0