def __init__(self,
config,
time_frame,
global_price_updater,
symbol_evaluator,
exchange,
trading_mode,
real_time_ta_eval_list,
main_loop,
relevant_evaluators=None):
if relevant_evaluators is None:
relevant_evaluators = CONFIG_EVALUATORS_WILDCARD
self.config = config
self.exchange = exchange
self.trading_mode = trading_mode
self.symbol = symbol_evaluator.get_symbol()
self.time_frame = time_frame
self.global_price_updater = global_price_updater
self.symbol_evaluator = symbol_evaluator
self.main_loop = main_loop
self.should_refresh_matrix_evaluation_types = True
self.should_save_evaluations = CONFIG_SAVE_EVALUATION in self.config and self.config[
CONFIG_SAVE_EVALUATION]
# notify symbol evaluator
self.symbol_evaluator.add_evaluator_task_manager(
self.exchange, self.time_frame, self.trading_mode, self)
self.matrix = self.symbol_evaluator.get_matrix(self.exchange)
self.matrix_exporter = MatrixExporter(self.matrix, self.symbol)
self.task_name = f"Evaluator TASK MANAGER - {self.symbol} - {self.exchange.get_name()} - {self.time_frame}"
self.logger = get_logger(self.task_name)
# Create Evaluator
self.evaluator = Evaluator()
self.evaluator.set_config(self.config)
self.evaluator.set_symbol(self.symbol)
self.evaluator.set_time_frame(self.time_frame)
self.evaluator.set_exchange(self.exchange)
self.evaluator.set_symbol_evaluator(self.symbol_evaluator)
# Add tasked evaluators that can notify the current task
self.evaluator.set_social_eval(
self.symbol_evaluator.get_crypto_currency_evaluator().
get_social_eval_list(), self)
self.evaluator.set_real_time_eval(real_time_ta_eval_list, self)
# Create static evaluators
self.evaluator.set_ta_eval_list(
self.evaluator.get_creator().create_ta_eval_list(
self.evaluator, relevant_evaluators), self)
# Register in refreshing task
self.global_price_updater.register_evaluator_task_manager(
self.time_frame, self)
def __init__(self,
config,
time_frame,
symbol_time_frame_updater_thread,
symbol_evaluator,
exchange,
trading_mode,
real_time_ta_eval_list,
relevant_evaluators=CONFIG_EVALUATORS_WILDCARD):
self.config = config
self.exchange = exchange
self.trading_mode = trading_mode
self.symbol = symbol_evaluator.get_symbol()
self.time_frame = time_frame
self.symbol_time_frame_updater_thread = symbol_time_frame_updater_thread
self.symbol_evaluator = symbol_evaluator
self.should_save_evaluations = CONFIG_SAVE_EVALUATION in self.config and self.config[
CONFIG_SAVE_EVALUATION]
# notify symbol evaluator
self.symbol_evaluator.add_evaluator_thread_manager(
self.exchange, self.time_frame, self.trading_mode, self)
self.matrix = self.symbol_evaluator.get_matrix(self.exchange)
self.matrix_exporter = MatrixExporter(self.matrix, self.symbol)
self.thread_name = f"TA THREAD MANAGER - {self.symbol} - {self.exchange.get_name()} - {self.time_frame}"
self.logger = get_logger(self.thread_name)
# Create Evaluator
self.evaluator = Evaluator()
self.evaluator.set_config(self.config)
self.evaluator.set_symbol(self.symbol)
self.evaluator.set_time_frame(self.time_frame)
self.evaluator.set_exchange(self.exchange)
self.evaluator.set_symbol_evaluator(self.symbol_evaluator)
# Add threaded evaluators that can notify the current thread
self.evaluator.set_social_eval(
self.symbol_evaluator.get_crypto_currency_evaluator().
get_social_eval_list(), self)
self.evaluator.set_real_time_eval(real_time_ta_eval_list, self)
# Create static evaluators
self.evaluator.set_ta_eval_list(
self.evaluator.get_creator().create_ta_eval_list(
self.evaluator, relevant_evaluators), self)
# Register in refreshing threads
self.symbol_time_frame_updater_thread.register_evaluator_thread_manager(
self.time_frame, self)
class EvaluatorTaskManager:
def __init__(self, config,
time_frame,
global_price_updater,
symbol_evaluator,
exchange,
trading_mode,
real_time_ta_eval_list,
main_loop,
relevant_evaluators=None):
if relevant_evaluators is None:
relevant_evaluators = CONFIG_EVALUATORS_WILDCARD
self.config = config
self.exchange = exchange
self.trading_mode = trading_mode
self.symbol = symbol_evaluator.get_symbol()
self.time_frame = time_frame
self.global_price_updater = global_price_updater
self.symbol_evaluator = symbol_evaluator
self.main_loop = main_loop
self.should_save_evaluations = CONFIG_SAVE_EVALUATION in self.config and self.config[CONFIG_SAVE_EVALUATION]
# notify symbol evaluator
self.symbol_evaluator.add_evaluator_task_manager(self.exchange, self.time_frame, self.trading_mode, self)
self.matrix = self.symbol_evaluator.get_matrix(self.exchange)
self.matrix_exporter = MatrixExporter(self.matrix, self.symbol)
self.task_name = f"TA TASK MANAGER - {self.symbol} - {self.exchange.get_name()} - {self.time_frame}"
self.logger = get_logger(self.task_name)
# Create Evaluator
self.evaluator = Evaluator()
self.evaluator.set_config(self.config)
self.evaluator.set_symbol(self.symbol)
self.evaluator.set_time_frame(self.time_frame)
self.evaluator.set_exchange(self.exchange)
self.evaluator.set_symbol_evaluator(self.symbol_evaluator)
# Add tasked evaluators that can notify the current task
self.evaluator.set_social_eval(self.symbol_evaluator.get_crypto_currency_evaluator().get_social_eval_list(),
self)
self.evaluator.set_real_time_eval(real_time_ta_eval_list, self)
# Create static evaluators
self.evaluator.set_ta_eval_list(self.evaluator.get_creator().create_ta_eval_list(self.evaluator,
relevant_evaluators), self)
# Register in refreshing task
self.global_price_updater.register_evaluator_task_manager(self.time_frame, self)
# handle notifications from evaluators, when notified refresh symbol evaluation matrix
async def notify(self, notifier_name, force_TA_refresh=False, finalize=False, interruption=False):
if self._should_consider_notification(notifier_name, interruption=interruption):
self.logger.debug(f"** Notified by {notifier_name} **")
if force_TA_refresh:
await self.global_price_updater.force_refresh_data(self.time_frame, self.symbol)
await self._refresh_eval(notifier_name, finalize=finalize)
def _should_consider_notification(self, notifier_name, interruption=False):
if self.get_refreshed_times() > 0:
if interruption:
# if notification from interruption (real_time or social evaluator,
# ensure first that everything is initialized properly
return_val = self.symbol_evaluator.are_all_timeframes_initialized(self.exchange)
else:
return True
else:
return_val = False
if not return_val:
self.logger.debug(f"Notification by {notifier_name} ignored")
return return_val
async def _refresh_eval(self, ignored_evaluator=None, finalize=False):
# update eval
await self.evaluator.update_ta_eval(ignored_evaluator)
# update matrix
self.refresh_matrix()
# update strategies matrix
await self.symbol_evaluator.update_strategies_eval(self.matrix, self.exchange, ignored_evaluator)
if finalize:
# calculate the final result
await self.symbol_evaluator.finalize(self.exchange)
# save evaluations if option is activated
self._save_evaluations_if_necessary()
self.logger.debug(f"MATRIX : {self.matrix.get_matrix()}")
def refresh_matrix(self):
self.matrix = self.symbol_evaluator.get_matrix(self.exchange)
for ta_eval in self.evaluator.get_ta_eval_list():
if ta_eval.get_is_active():
ta_eval.ensure_eval_note_is_not_expired()
self.matrix.set_eval(EvaluatorMatrixTypes.TA, ta_eval.get_name(),
ta_eval.get_eval_note(), self.time_frame)
else:
self.matrix.set_eval(EvaluatorMatrixTypes.TA, ta_eval.get_name(),
START_PENDING_EVAL_NOTE, self.time_frame)
for social_eval in self.evaluator.get_social_eval_list():
if social_eval.get_is_active():
social_eval.ensure_eval_note_is_not_expired()
self.matrix.set_eval(EvaluatorMatrixTypes.SOCIAL, social_eval.get_name(),
social_eval.get_eval_note(), None)
else:
self.matrix.set_eval(EvaluatorMatrixTypes.SOCIAL, social_eval.get_name(),
START_PENDING_EVAL_NOTE)
for real_time_eval in self.evaluator.get_real_time_eval_list():
if real_time_eval.get_is_active():
real_time_eval.ensure_eval_note_is_not_expired()
self.matrix.set_eval(EvaluatorMatrixTypes.REAL_TIME, real_time_eval.get_name(),
real_time_eval.get_eval_note())
else:
self.matrix.set_eval(EvaluatorMatrixTypes.REAL_TIME, real_time_eval.get_name(),
START_PENDING_EVAL_NOTE)
def _save_evaluations_if_necessary(self):
if self.should_save_evaluations and self.symbol_evaluator.are_all_timeframes_initialized(self.exchange):
self.matrix_exporter.save()
def get_refreshed_times(self):
return self.global_price_updater.get_refreshed_times(self.time_frame, self.symbol)
def get_evaluator(self):
return self.evaluator
def get_global_price_updater(self):
return self.global_price_updater
def get_exchange(self):
return self.exchange
def get_symbol_evaluator(self):
return self.symbol_evaluator
def get_symbol(self):
return self.symbol
class EvaluatorThreadsManager:
def __init__(self,
config,
time_frame,
symbol_time_frame_updater_thread,
symbol_evaluator,
exchange,
trading_mode,
real_time_ta_eval_list,
relevant_evaluators=None):
if relevant_evaluators is None:
relevant_evaluators = CONFIG_EVALUATORS_WILDCARD
self.config = config
self.exchange = exchange
self.trading_mode = trading_mode
self.symbol = symbol_evaluator.get_symbol()
self.time_frame = time_frame
self.symbol_time_frame_updater_thread = symbol_time_frame_updater_thread
self.symbol_evaluator = symbol_evaluator
self.should_save_evaluations = CONFIG_SAVE_EVALUATION in self.config and self.config[
CONFIG_SAVE_EVALUATION]
# notify symbol evaluator
self.symbol_evaluator.add_evaluator_thread_manager(
self.exchange, self.time_frame, self.trading_mode, self)
self.matrix = self.symbol_evaluator.get_matrix(self.exchange)
self.matrix_exporter = MatrixExporter(self.matrix, self.symbol)
self.thread_name = f"TA THREAD MANAGER - {self.symbol} - {self.exchange.get_name()} - {self.time_frame}"
self.logger = get_logger(self.thread_name)
# Create Evaluator
self.evaluator = Evaluator()
self.evaluator.set_config(self.config)
self.evaluator.set_symbol(self.symbol)
self.evaluator.set_time_frame(self.time_frame)
self.evaluator.set_exchange(self.exchange)
self.evaluator.set_symbol_evaluator(self.symbol_evaluator)
# Add threaded evaluators that can notify the current thread
self.evaluator.set_social_eval(
self.symbol_evaluator.get_crypto_currency_evaluator().
get_social_eval_list(), self)
self.evaluator.set_real_time_eval(real_time_ta_eval_list, self)
# Create static evaluators
self.evaluator.set_ta_eval_list(
self.evaluator.get_creator().create_ta_eval_list(
self.evaluator, relevant_evaluators), self)
# Register in refreshing threads
self.symbol_time_frame_updater_thread.register_evaluator_thread_manager(
self.time_frame, self)
# handle notifications from evaluators, when notified refresh symbol evaluation matrix
def notify(self, notifier_name, force_TA_refresh=False):
if self.get_refreshed_times() > 0:
self.logger.debug(f"** Notified by {notifier_name} **")
if force_TA_refresh:
self.symbol_time_frame_updater_thread.force_refresh_data()
self._refresh_eval(notifier_name)
else:
self.logger.debug(f"Notification by {notifier_name} ignored")
def _refresh_eval(self, ignored_evaluator=None):
# update eval
self.evaluator.update_ta_eval(ignored_evaluator)
# update matrix
self.refresh_matrix()
# update strategies matrix
self.symbol_evaluator.update_strategies_eval(self.matrix,
self.exchange,
ignored_evaluator)
# calculate the final result
self.symbol_evaluator.finalize(self.exchange)
# save evaluations if option is activated
self._save_evaluations_if_necessary()
self.logger.debug(f"MATRIX : {self.matrix.get_matrix()}")
def refresh_matrix(self):
self.matrix = self.symbol_evaluator.get_matrix(self.exchange)
for ta_eval in self.evaluator.get_ta_eval_list():
if ta_eval.get_is_active():
ta_eval.ensure_eval_note_is_not_expired()
self.matrix.set_eval(EvaluatorMatrixTypes.TA,
ta_eval.get_name(),
ta_eval.get_eval_note(), self.time_frame)
else:
self.matrix.set_eval(EvaluatorMatrixTypes.TA,
ta_eval.get_name(),
START_PENDING_EVAL_NOTE, self.time_frame)
for social_eval in self.evaluator.get_social_eval_list():
if social_eval.get_is_active():
social_eval.ensure_eval_note_is_not_expired()
self.matrix.set_eval(EvaluatorMatrixTypes.SOCIAL,
social_eval.get_name(),
social_eval.get_eval_note(), None)
else:
self.matrix.set_eval(EvaluatorMatrixTypes.SOCIAL,
social_eval.get_name(),
START_PENDING_EVAL_NOTE)
for real_time_eval in self.evaluator.get_real_time_eval_list():
if real_time_eval.get_is_active():
real_time_eval.ensure_eval_note_is_not_expired()
self.matrix.set_eval(EvaluatorMatrixTypes.REAL_TIME,
real_time_eval.get_name(),
real_time_eval.get_eval_note())
else:
self.matrix.set_eval(EvaluatorMatrixTypes.REAL_TIME,
real_time_eval.get_name(),
START_PENDING_EVAL_NOTE)
def _save_evaluations_if_necessary(self):
if self.should_save_evaluations and self.symbol_evaluator.are_all_timeframes_initialized(
self.exchange):
self.matrix_exporter.save()
def start_threads(self):
pass
def stop_threads(self):
for thread in self.evaluator.get_real_time_eval_list():
thread.stop()
def join_threads(self):
for thread in self.evaluator.get_real_time_eval_list():
thread.join()
def get_refreshed_times(self):
return self.symbol_time_frame_updater_thread.get_refreshed_times(
self.time_frame)
def get_evaluator(self):
return self.evaluator
def get_symbol_time_frame_updater_thread(self):
return self.symbol_time_frame_updater_thread
def get_exchange(self):
return self.exchange
def get_symbol_evaluator(self):
return self.symbol_evaluator
def get_symbol(self):
return self.symbol