def __get_graph__(self,
ticker_id: str,
refresh_interval: int,
limit: int = 0):
period = self.sys_config.period
aggregation = self.sys_config.period_aggregation
graph_cache_id = self.sys_config.graph_cache.get_cache_id(
ticker_id, period, aggregation, limit)
graph = self.sys_config.graph_cache.get_cached_object_by_key(
graph_cache_id)
if graph is not None:
return graph, graph_cache_id
if period == PRD.DAILY and self._recommender_table.selected_index != INDICES.CRYPTO_CCY:
self.sys_config.data_provider.from_db = True
else:
self.sys_config.data_provider.from_db = False
date_start = MyDate.adjust_by_days(MyDate.get_datetime_object().date(),
-limit)
and_clause = "Date > '{}'".format(date_start)
graph_title = self.sys_config.graph_cache.get_cache_title(
ticker_id, period, aggregation, limit)
detector = self._pattern_controller.get_detector_for_fibonacci_and_pattern(
self.sys_config, ticker_id, and_clause, limit)
graph_api = DccGraphApi(graph_cache_id, graph_title)
graph_api.ticker_id = ticker_id
graph_api.df = detector.pdh.pattern_data.df
graph = self.__get_dcc_graph_element__(detector, graph_api)
cache_api = self.sys_config.graph_cache.get_cache_object_api(
graph_cache_id, graph, period, refresh_interval)
self.sys_config.graph_cache.add_cache_object(cache_api)
return graph, graph_cache_id
def __add_cache_object_for_ticker_to_graph_first_cache__(self, ticker: str, and_clause=''):
graph_id = self._graph_first_cache.graph_id
cache_key = self._graph_first_cache.get_cache_key(ticker, 0)
if self._graph_first_cache.get_cached_object_by_key(cache_key) is None:
aggregation = self.sys_config.period_aggregation
graph_title = self.__get_graph_title__(ticker, self.sys_config.period, aggregation)
detector = self._pattern_controller.get_detector_for_dash(self.sys_config, ticker, and_clause)
pattern_data = detector.pdh.pattern_data
graph_api = DccGraphApi(graph_id, graph_title)
graph_api.ticker_id = ticker
graph_api.df = detector.pdh.pattern_data.df
graph = self.__get_dcc_graph_element__(detector, graph_api)
cache_api = self.__get_cache_api__(cache_key, graph, detector, pattern_data)
self._graph_first_cache.add_cache_object(cache_api)
print('{}: Cached into graph_first_cache: {}'.format(MyDate.get_time_str_from_datetime(), cache_key))
else:
print('{}: Already cached by graph_first_cache: {}'.format(MyDate.get_time_str_from_datetime(), cache_key))
def __add_calculated_graph_to_cache__(self, graph_cache_id: str,
ticker_id: str, period: str,
aggregation: int, limit: int,
indicator: str,
refresh_interval: int):
date_start = MyDate.adjust_by_days(MyDate.get_datetime_object().date(),
-limit)
and_clause = "Date > '{}'".format(date_start)
graph_title = self.sys_config.graph_cache.get_cache_title(
ticker_id, period, aggregation, limit)
detector = self._pattern_controller.get_detector_for_fibonacci_and_pattern(
self.sys_config, ticker_id, and_clause, limit)
graph_api = DccGraphApi(graph_cache_id, graph_title)
graph_api.ticker_id = ticker_id
graph_api.indicator = None if indicator == INDI.NONE else indicator
graph_api.df = detector.pdh.pattern_data.df
graph = self.__get_dcc_graph_element__(detector, graph_api)
cache_api = self.sys_config.graph_cache.get_cache_object_api(
graph_cache_id, graph, period, refresh_interval)
self.sys_config.graph_cache.add_cache_object(cache_api)
return graph