mirror of
https://github.com/wassname/catalyst.git
synced 2026-07-05 20:13:53 +08:00
@@ -375,13 +375,23 @@ class ExchangeTradingAlgorithmLive(ExchangeTradingAlgorithmBase):
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if error:
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log.warning(error)
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self.pnl_stats = get_algo_df(self.algo_namespace, 'pnl_stats')
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# in order to save paper & live files separately
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self.mode_name = 'paper' if kwargs['simulate_orders'] else 'live'
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self.custom_signals_stats = \
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get_algo_df(self.algo_namespace, 'custom_signals_stats')
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self.pnl_stats = get_algo_df(
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self.algo_namespace,
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'pnl_stats_{}'.format(self.mode_name),
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)
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self.exposure_stats = \
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get_algo_df(self.algo_namespace, 'exposure_stats')
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self.custom_signals_stats = get_algo_df(
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self.algo_namespace,
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'custom_signals_stats_{}'.format(self.mode_name)
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)
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self.exposure_stats = get_algo_df(
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self.algo_namespace,
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'exposure_stats_{}'.format(self.mode_name)
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)
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self.is_running = True
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@@ -515,7 +525,7 @@ class ExchangeTradingAlgorithmLive(ExchangeTradingAlgorithmBase):
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"""
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self.state = get_algo_object(
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algo_name=self.algo_namespace,
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key='context.state',
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key='context.state_{}'.format(self.mode_name),
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)
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if self.state is None:
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self.state = {}
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@@ -538,7 +548,7 @@ class ExchangeTradingAlgorithmLive(ExchangeTradingAlgorithmBase):
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# Unpacking the perf_tracker and positions if available
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cum_perf = get_algo_object(
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algo_name=self.algo_namespace,
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key='cumulative_performance',
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key='cumulative_performance_{}'.format(self.mode_name),
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)
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if cum_perf is not None:
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tracker.cumulative_performance = cum_perf
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@@ -549,7 +559,7 @@ class ExchangeTradingAlgorithmLive(ExchangeTradingAlgorithmBase):
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todays_perf = get_algo_object(
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algo_name=self.algo_namespace,
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key=today.strftime('%Y-%m-%d'),
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rel_path='daily_performance',
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rel_path='daily_performance_{}'.format(self.mode_name),
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)
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if todays_perf is not None:
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# Ensure single common position tracker
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@@ -686,7 +696,11 @@ class ExchangeTradingAlgorithmLive(ExchangeTradingAlgorithmBase):
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)
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self.pnl_stats = pd.concat([self.pnl_stats, df])
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save_algo_df(self.algo_namespace, 'pnl_stats', self.pnl_stats)
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save_algo_df(
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self.algo_namespace,
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'pnl_stats_{}'.format(self.mode_name),
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self.pnl_stats,
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)
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def add_custom_signals_stats(self, period_stats):
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"""
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@@ -707,8 +721,11 @@ class ExchangeTradingAlgorithmLive(ExchangeTradingAlgorithmBase):
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)
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self.custom_signals_stats = pd.concat([self.custom_signals_stats, df])
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save_algo_df(self.algo_namespace, 'custom_signals_stats',
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self.custom_signals_stats)
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save_algo_df(
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self.algo_namespace,
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'custom_signals_stats_{}'.format(self.mode_name),
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self.custom_signals_stats,
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)
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def add_exposure_stats(self, period_stats):
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"""
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@@ -735,7 +752,9 @@ class ExchangeTradingAlgorithmLive(ExchangeTradingAlgorithmBase):
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self.exposure_stats = pd.concat([self.exposure_stats, df])
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save_algo_df(
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self.algo_namespace, 'exposure_stats', self.exposure_stats
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self.algo_namespace,
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'exposure_stats_{}'.format(self.mode_name),
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self.exposure_stats
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)
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def nullify_frame_stats(self, now):
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@@ -759,6 +778,7 @@ class ExchangeTradingAlgorithmLive(ExchangeTradingAlgorithmBase):
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obj=self.frame_stats,
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rel_path='frame_stats'
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)
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error = remove_old_files(
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algo_name=self.algo_namespace,
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today=now,
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@@ -843,7 +863,7 @@ class ExchangeTradingAlgorithmLive(ExchangeTradingAlgorithmBase):
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log.debug('saving cumulative performance object')
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save_algo_object(
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algo_name=self.algo_namespace,
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key='cumulative_performance',
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key='cumulative_performance_{}'.format(self.mode_name),
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obj=self.perf_tracker.cumulative_performance,
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)
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log.debug('saving todays performance object')
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@@ -851,12 +871,12 @@ class ExchangeTradingAlgorithmLive(ExchangeTradingAlgorithmBase):
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algo_name=self.algo_namespace,
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key=today.strftime('%Y-%m-%d'),
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obj=self.perf_tracker.todays_performance,
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rel_path='daily_performance'
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rel_path='daily_performance_{}'.format(self.mode_name)
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)
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log.debug('saving context.state object')
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save_algo_object(
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algo_name=self.algo_namespace,
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key='context.state',
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key='context.state_{}'.format(self.mode_name),
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obj=self.state)
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def _process_stats(self, data):
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@@ -912,6 +932,7 @@ class ExchangeTradingAlgorithmLive(ExchangeTradingAlgorithmBase):
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csv_bytes = stats_to_algo_folder(
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stats=self.frame_stats,
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algo_namespace=self.algo_namespace,
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folder_name='stats_{}'.format(self.mode_name),
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recorded_cols=recorded_cols,
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)
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except Exception as e:
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@@ -420,7 +420,7 @@ def clear_frame_stats_directory(algo_name):
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return error
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def remove_old_files(algo_name, today, rel_path):
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def remove_old_files(algo_name, today, rel_path, environ=None):
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"""
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remove old files from a directory
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to avoid overloading the disk
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@@ -430,27 +430,30 @@ def remove_old_files(algo_name, today, rel_path):
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algo_name: str
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today: Timestamp
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rel_path: str
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environ:
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Returns
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-------
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error: str
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"""
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error = None
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algo_folder = get_algo_folder(algo_name)
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algo_folder = get_algo_folder(algo_name, environ)
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folder = os.path.join(algo_folder, rel_path)
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ensure_directory(folder)
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# run on all files in the folder
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for f in os.listdir(folder):
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creation_unix = os.path.getctime(f)
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creation_time = pd.to_datetime(creation_unix, unit='s', )
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try:
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creation_unix = os.path.getctime(os.path.join(folder, f))
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creation_time = pd.to_datetime(creation_unix, unit='s', )
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# if the file is older than 30 days erase it
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if today - pd.DateOffset(30) > creation_time:
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try:
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os.unlink(f)
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except OSError:
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error = 'unable to erase files in {}'.format(folder)
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# if the file is older than 30 days erase it
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if today - pd.DateOffset(30) > creation_time:
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os.unlink(f)
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except OSError:
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error = 'unable to erase files in {}'.format(folder)
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return error
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@@ -396,7 +396,8 @@ def email_error(algo_name, dt, e, environ=None):
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)})
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def stats_to_algo_folder(stats, algo_namespace, recorded_cols=None):
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def stats_to_algo_folder(stats, algo_namespace,
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folder_name, recorded_cols=None):
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"""
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Saves the performance stats to the algo local folder.
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@@ -404,6 +405,7 @@ def stats_to_algo_folder(stats, algo_namespace, recorded_cols=None):
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----------
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stats: list[Object]
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algo_namespace: str
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folder_name: str
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recorded_cols: list[str]
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Returns
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@@ -416,7 +418,7 @@ def stats_to_algo_folder(stats, algo_namespace, recorded_cols=None):
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timestr = time.strftime('%Y%m%d')
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folder = get_algo_folder(algo_namespace)
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stats_folder = os.path.join(folder, 'stats')
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stats_folder = os.path.join(folder, folder_name)
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ensure_directory(stats_folder)
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filename = os.path.join(stats_folder, '{}.csv'.format(timestr))
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