def test_prepare_pricing_data_success(self):
"""test_prepare_pricing_data_success"""
test_name = 'test_prepare_pricing_data_success'
redis_key = self.build_test_key(
test_name=test_name)
s3_key = redis_key
value = self.get_pricing_test_data()
value_str = json.dumps(value)
os.environ['TEST_S3_CONTENTS'] = value_str
work = build_prepare_dataset_request()
work['s3_key'] = s3_key
work['redis_key'] = redis_key
res = run_prepare_pricing_dataset(
work)
self.assertEqual(
res['status'],
SUCCESS)
self.assertEqual(
res['err'],
None)
self.assertTrue(
res['rec'] is not None)
self.assertEqual(
res['rec']['initial_size'],
3111)
self.assertTrue(
res['rec']['initial_data'] is not None)
self.assertEqual(
res['rec']['prepared_size'],
3743)
self.assertTrue(
res['rec']['prepared_data'] is not None)
def test_data_too_small_to_prepare(self):
"""test_data_too_small_to_prepare"""
expected_err = (
'not enough data=')
test_name = 'test_data_too_small_to_prepare'
redis_key = self.build_test_key(
test_name=test_name)
s3_key = redis_key
value = {
'0': '1'
}
value_str = json.dumps(value)[0:PREPARE_DATA_MIN_SIZE-1]
os.environ['TEST_S3_CONTENTS'] = value_str
work = build_prepare_dataset_request()
work['s3_key'] = s3_key
work['redis_key'] = redis_key
res = run_prepare_pricing_dataset(
work)
self.assertEqual(
res['status'],
ERR)
self.assertTrue(
expected_err in res['err'])
self.assertTrue(
res['rec'] is not None)
def test_data_invalid_json_to_prepare(self):
"""test_data_invalid_json_to_prepare"""
test_name = 'test_data_invalid_json_to_prepare'
redis_key = self.build_test_key(
test_name=test_name)
s3_key = redis_key
expected_err = (
'prepare did not find any data to prepare in '
f'redis_key={redis_key}')
value = {
'BAD_JSON': test_name
}
value_str = json.dumps(value)[0:PREPARE_DATA_MIN_SIZE-1]
os.environ['TEST_S3_CONTENTS'] = value_str
work = build_prepare_dataset_request()
work['s3_key'] = s3_key
work['redis_key'] = redis_key
res = run_prepare_pricing_dataset(
work)
self.assertEqual(
res['status'],
ERR)
self.assertTrue(
expected_err in res['err'])
self.assertTrue(
res['rec'] is not None)
def test_redis_get_no_data_found_for_prepare_pricing_err(self):
"""test_redis_get_no_data_found_for_prepare_pricing_err"""
expected_err = (
'prepare ERR failed loading from bucket=pricing '
's3_key=')
test_name = 'test_redis_get_no_data_found_for_prepare_pricing_err'
redis_key = self.build_test_key(
test_name=test_name)
s3_key = redis_key
value = {
'test_name': test_name
}
os.environ['TEST_S3_CONTENTS'] = json.dumps(value)
work = build_prepare_dataset_request()
work['s3_key'] = s3_key
work['redis_key'] = redis_key
res = run_prepare_pricing_dataset(
work)
self.assertEqual(
res['status'],
ERR)
self.assertTrue(
expected_err in res['err'])
self.assertTrue(
res['rec'] is not None)
def test_s3_publish_exception(self):
"""test_s3_publish_exception"""
expected_err = 'test mock_publish_from_s3_exception'
redis_key = self.build_test_key(
test_name='test_s3_publish_exception')
s3_key = redis_key
work = build_prepare_dataset_request()
work['s3_key'] = s3_key
work['redis_key'] = redis_key
res = run_prepare_pricing_dataset(
work)
self.assertEqual(
res['status'],
ERR)
self.assertTrue(
expected_err in res['err'])
self.assertTrue(
res['rec'] is not None)
def test_redis_connection_exception_prepare_pricing(self):
"""test_redis_connection_exception_prepare_pricing"""
expected_err = 'test MockRedisFailToConnect'
redis_key = self.build_test_key(
test_name='test_redis_connection_exception_prepare_pricing')
s3_key = redis_key
work = build_prepare_dataset_request()
work['s3_key'] = s3_key
work['redis_key'] = redis_key
res = run_prepare_pricing_dataset(
work)
self.assertEqual(
res['status'],
ERR)
self.assertTrue(
expected_err in res['err'])
self.assertTrue(
res['rec'] is not None)
def test_redis_get_no_data_found_for_prepare_pricing(self):
"""test_redis_get_no_data_found_for_prepare_pricing"""
expected_err = (
'did not find any data to prepare in redis_key=')
test_name = 'test_redis_get_no_data_found_for_prepare_pricing'
redis_key = self.build_test_key(
test_name=test_name)
s3_key = redis_key
os.environ.pop('TEST_S3_CONTENTS', None)
work = build_prepare_dataset_request()
work['s3_key'] = s3_key
work['redis_key'] = redis_key
res = run_prepare_pricing_dataset(
work)
self.assertEqual(
res['status'],
ERR)
self.assertTrue(
expected_err in res['err'])
self.assertTrue(
res['rec'] is not None)
def test_too_small_flatten_dict(self):
"""test_too_small_flatten_dict"""
expected_err = (
'prepare - there is not enough data=')
test_name = 'test_too_small_flatten_dict'
redis_key = self.build_test_key(
test_name=test_name)
s3_key = redis_key
value = self.get_pricing_test_data()
value_str = json.dumps(value)
os.environ['TEST_S3_CONTENTS'] = value_str
work = build_prepare_dataset_request()
work['s3_key'] = s3_key
work['redis_key'] = redis_key
res = run_prepare_pricing_dataset(
work)
self.assertEqual(
res['status'],
ERR)
self.assertTrue(
expected_err in res['err'])
self.assertTrue(
res['rec'] is not None)
def run_aws_backup():
"""run_aws_backup
Run buy and sell analysis on a stock to send alerts to subscribed
users
"""
log.debug('start - aws-backup')
parser = argparse.ArgumentParser(description=('stock analysis tool'))
parser.add_argument('-t', help=('ticker'), required=True, dest='ticker')
parser.add_argument('-e',
help=('file path to extract an '
'algorithm-ready datasets from redis'),
required=False,
dest='algo_extract_loc')
parser.add_argument('-l',
help=('show dataset in this file'),
required=False,
dest='show_from_file')
parser.add_argument('-H',
help=('show trading history dataset in this file'),
required=False,
dest='show_history_from_file')
parser.add_argument(
'-E',
help=('show trading performance report dataset in this file'),
required=False,
dest='show_report_from_file')
parser.add_argument(
'-L',
help=('restore an algorithm-ready dataset file back into redis'),
required=False,
dest='restore_algo_file')
parser.add_argument('-f',
help=('run in mode: prepare dataset from '
'redis key or s3 key'),
required=False,
dest='prepare_mode',
action='store_true')
parser.add_argument(
'-J',
help=('plot action - after preparing you can use: '
'-J show to open the image (good for debugging)'),
required=False,
dest='plot_action')
parser.add_argument(
'-b',
help=('run a backtest using the dataset in '
'a file path/s3 key/redis key formats: '
'file:/opt/sa/tests/datasets/algo/SPY-latest.json or '
's3://algoready/SPY-latest.json or '
'redis:SPY-latest'),
required=False,
dest='backtest_loc')
parser.add_argument('-B',
help=('optional - broker url for Celery'),
required=False,
dest='broker_url')
parser.add_argument('-C',
help=('optional - broker url for Celery'),
required=False,
dest='backend_url')
parser.add_argument(
'-w',
help=('optional - flag for publishing an algorithm job '
'using Celery to the ae workers'),
required=False,
dest='run_on_engine',
action='store_true')
parser.add_argument('-k',
help=('optional - s3 access key'),
required=False,
dest='s3_access_key')
parser.add_argument('-K',
help=('optional - s3 secret key'),
required=False,
dest='s3_secret_key')
parser.add_argument('-a',
help=('optional - s3 address format: <host:port>'),
required=False,
dest='s3_address')
parser.add_argument('-Z',
help=('optional - s3 secure: default False'),
required=False,
dest='s3_secure')
parser.add_argument('-s',
help=('optional - start date: YYYY-MM-DD'),
required=False,
dest='start_date')
parser.add_argument('-n',
help=('optional - end date: YYYY-MM-DD'),
required=False,
dest='end_date')
parser.add_argument('-u',
help=('optional - s3 bucket name'),
required=False,
dest='s3_bucket_name')
parser.add_argument('-G',
help=('optional - s3 region name'),
required=False,
dest='s3_region_name')
parser.add_argument(
'-g',
help=('Path to a custom algorithm module file '
'on disk. This module must have a single '
'class that inherits from: '
'https://github.com/AlgoTraders/stock-analysis-engine/'
'blob/master/'
'analysis_engine/algo.py Additionally you '
'can find the Example-Minute-Algorithm here: '
'https://github.com/AlgoTraders/stock-analysis-engine/'
'blob/master/analysis_engine/mocks/'
'example_algo_minute.py'),
required=False,
dest='run_algo_in_file')
parser.add_argument('-p',
help=('optional - s3 bucket/file for trading history'),
required=False,
dest='algo_history_loc')
parser.add_argument(
'-o',
help=('optional - s3 bucket/file for trading performance report'),
required=False,
dest='algo_report_loc')
parser.add_argument('-r',
help=('optional - redis_address format: <host:port>'),
required=False,
dest='redis_address')
parser.add_argument('-R',
help=('optional - redis and s3 key name'),
required=False,
dest='keyname')
parser.add_argument(
'-m',
help=('optional - redis database number (0 by default)'),
required=False,
dest='redis_db')
parser.add_argument('-x',
help=('optional - redis expiration in seconds'),
required=False,
dest='redis_expire')
parser.add_argument('-z',
help=('optional - strike price'),
required=False,
dest='strike')
parser.add_argument(
'-c',
help=('optional - algorithm config_file path for setting '
'up internal algorithm trading strategies and '
'indicators'),
required=False,
dest='config_file')
parser.add_argument(
'-P',
help=('optional - get pricing data if "1" or "0" disabled'),
required=False,
dest='get_pricing')
parser.add_argument(
'-N',
help=('optional - get news data if "1" or "0" disabled'),
required=False,
dest='get_news')
parser.add_argument(
'-O',
help=('optional - get options data if "1" or "0" disabled'),
required=False,
dest='get_options')
parser.add_argument(
'-i',
help=('optional - ignore column names (comma separated)'),
required=False,
dest='ignore_columns')
parser.add_argument('-d',
help=('debug'),
required=False,
dest='debug',
action='store_true')
args = parser.parse_args()
mode = 'prepare'
plot_action = ae_consts.PLOT_ACTION_SHOW
ticker = ae_consts.TICKER
ticker_id = ae_consts.TICKER_ID
ssl_options = ae_consts.SSL_OPTIONS
transport_options = ae_consts.TRANSPORT_OPTIONS
broker_url = ae_consts.WORKER_BROKER_URL
backend_url = ae_consts.WORKER_BACKEND_URL
path_to_config_module = ae_consts.WORKER_CELERY_CONFIG_MODULE
include_tasks = ae_consts.INCLUDE_TASKS
s3_access_key = ae_consts.S3_ACCESS_KEY
s3_secret_key = ae_consts.S3_SECRET_KEY
s3_region_name = ae_consts.S3_REGION_NAME
s3_address = ae_consts.S3_ADDRESS
s3_secure = ae_consts.S3_SECURE
s3_bucket_name = ae_consts.S3_BUCKET
s3_key = ae_consts.S3_KEY
redis_address = ae_consts.REDIS_ADDRESS
redis_key = ae_consts.REDIS_KEY
redis_password = ae_consts.REDIS_PASSWORD
redis_db = ae_consts.REDIS_DB
redis_expire = ae_consts.REDIS_EXPIRE
dataset_type = ae_consts.SA_DATASET_TYPE_ALGO_READY
serialize_datasets = ae_consts.DEFAULT_SERIALIZED_DATASETS
output_redis_key = None
output_s3_bucket = None
output_s3_key = None
ignore_columns = None
compress = False
encoding = 'utf-8'
slack_enabled = False
slack_code_block = False
slack_full_width = False
verbose = False
debug = False
redis_serializer = 'json'
redis_encoding = 'utf-8'
output_redis_key = None
output_s3_bucket = None
output_s3_key = None
s3_enabled = True
redis_enabled = True
ignore_columns = None
debug = False
run_on_engine = False
show_from_file = None
show_history_from_file = None
show_report_from_file = None
restore_algo_file = None
backtest_loc = None
use_custom_algo = False
algo_history_loc = 's3://algohistory'
algo_report_loc = 's3://algoreport'
algo_extract_loc = 's3://algoready'
use_balance = 5000.0
use_commission = 6.0
auto_fill = True
use_start_date = '2018-11-01 00:00:00'
use_end_date = None
use_config_file = None
use_name = 'myalgo'
if args.ticker:
ticker = args.ticker.upper()
if args.broker_url:
broker_url = args.broker_url
if args.backend_url:
backend_url = args.backend_url
if args.s3_access_key:
s3_access_key = args.s3_access_key
if args.s3_secret_key:
s3_secret_key = args.s3_secret_key
if args.s3_region_name:
s3_region_name = args.s3_region_name
if args.s3_address:
s3_address = args.s3_address
s3_enabled = True
if args.s3_secure:
s3_secure = args.s3_secure
if args.s3_bucket_name:
s3_bucket_name = args.s3_bucket_name
if args.keyname:
s3_key = args.keyname
redis_key = args.keyname
if args.redis_address:
redis_address = args.redis_address
if args.redis_db:
redis_db = args.redis_db
if args.redis_expire:
redis_expire = args.redis_expire
if args.prepare_mode:
mode = ae_consts.SA_MODE_PREPARE
if args.ignore_columns:
ignore_columns_org = args.ignore_columns
ignore_columns = ignore_columns_org.split(",")
if args.plot_action:
if str(args.plot_action).lower() == 'show':
plot_action = ae_consts.PLOT_ACTION_SHOW
elif str(args.plot_action).lower() == 's3':
plot_action = ae_consts.PLOT_ACTION_SAVE_TO_S3
elif str(args.plot_action).lower() == 'save':
plot_action = ae_consts.PLOT_ACTION_SAVE_AS_FILE
else:
plot_action = ae_consts.PLOT_ACTION_SHOW
log.warning(f'unsupported plot_action: {args.plot_action}')
if args.debug:
debug = True
if args.algo_extract_loc:
mode = ae_consts.SA_MODE_EXTRACT
if args.show_from_file:
show_from_file = args.show_from_file
mode = ae_consts.SA_MODE_SHOW_DATASET
if args.show_history_from_file:
show_history_from_file = args.show_history_from_file
mode = ae_consts.SA_MODE_SHOW_HISTORY_DATASET
if args.show_report_from_file:
show_report_from_file = args.show_report_from_file
mode = ae_consts.SA_MODE_SHOW_REPORT_DATASET
if args.restore_algo_file:
restore_algo_file = args.restore_algo_file
mode = ae_consts.SA_MODE_RESTORE_REDIS_DATASET
if args.run_algo_in_file:
mode = ae_consts.SA_MODE_RUN_ALGO
if args.backtest_loc:
mode = ae_consts.SA_MODE_RUN_ALGO
if args.start_date:
try:
use_start_date = f'{str(args.start_date)} 00:00:00'
datetime.datetime.strptime(args.start_date,
ae_consts.COMMON_DATE_FORMAT)
except Exception as e:
msg = ('please use a start date formatted as: '
f'{ae_consts.COMMON_DATE_FORMAT}\n'
f'error was: {e}')
log.error(msg)
sys.exit(1)
# end of testing for a valid date
# end of args.start_date
if args.end_date:
try:
use_end_date = f'{str(args.end_date)} 00:00:00'
datetime.datetime.strptime(args.end_date,
ae_consts.COMMON_DATE_FORMAT)
except Exception as e:
msg = ('please use an end date formatted as: '
f'{ae_consts.COMMON_DATE_FORMAT}\n'
f'error was: {e}')
log.error(msg)
sys.exit(1)
# end of testing for a valid date
# end of args.end_date
if args.config_file:
use_config_file = args.config_file
if not os.path.exists(use_config_file):
log.error(
f'Failed: unable to find config file: -c {use_config_file}')
sys.exit(1)
config_dict = None
load_from_s3_bucket = None
load_from_s3_key = None
load_from_redis_key = None
load_from_file = None
load_compress = False
load_publish = True
load_config = None
report_redis_key = None
report_s3_bucket = None
report_s3_key = None
report_file = None
report_compress = False
report_publish = False
report_config = None
history_redis_key = None
history_s3_bucket = None
history_s3_key = None
history_file = None
history_compress = False
history_publish = False
history_config = None
extract_redis_key = None
extract_s3_bucket = None
extract_s3_key = None
extract_file = None
extract_save_dir = None
extract_compress = False
extract_publish = True
extract_config = None
publish_to_slack = False
publish_to_s3 = True
publish_to_redis = False
use_timeseries = 'day'
use_trade_strategy = 'count'
valid = False
required_task = False
work = None
task_name = None
work = {}
path_to_tasks = 'analysis_engine.work_tasks'
if mode == ae_consts.SA_MODE_PREPARE:
task_name = (f'{path_to_tasks}.'
'prepare_pricing_dataset.prepare_pricing_dataset')
work = api_requests.build_prepare_dataset_request()
if output_s3_key:
work['prepared_s3_key'] = output_s3_key
if output_s3_bucket:
work['prepared_s3_bucket'] = output_s3_bucket
if output_redis_key:
work['prepared_redis_key'] = output_redis_key
work['ignore_columns'] = ignore_columns
valid = True
required_task = True
elif mode == ae_consts.SA_MODE_EXTRACT:
if args.algo_extract_loc:
algo_extract_loc = args.algo_extract_loc
if ('file:/' not in algo_extract_loc
and 's3://' not in algo_extract_loc
and 'redis://' not in algo_extract_loc):
log.error(
'invalid -e <extract_to_file_or_s3_key_or_redis_key> '
'specified. please use either: '
'-e file:/opt/sa/tests/datasets/algo/SPY-latest.json or '
'-e s3://algoready/SPY-latest.json or '
'-e redis://SPY-latest')
sys.exit(1)
if 's3://' in algo_extract_loc:
extract_s3_bucket = algo_extract_loc.split('/')[-2]
extract_s3_key = algo_extract_loc.split('/')[-1]
elif 'redis://' in algo_extract_loc:
extract_redis_key = algo_extract_loc.split('/')[-1]
elif 'file:/' in algo_extract_loc:
extract_file = algo_extract_loc.split(':')[-1]
# end of parsing supported transport for loading
use_custom_algo = True
elif mode == ae_consts.SA_MODE_SHOW_DATASET:
examine_dataset_in_file(ticker=ticker, path_to_file=show_from_file)
log.info(f'done showing {ticker} dataset from file={show_from_file}')
sys.exit(0)
elif mode == ae_consts.SA_MODE_SHOW_HISTORY_DATASET:
examine_dataset_in_file(
ticker=ticker,
dataset_type=ae_consts.SA_DATASET_TYPE_TRADING_HISTORY,
path_to_file=show_history_from_file)
log.info(f'done showing trading history {ticker} dataset from '
f'file={show_from_file}')
sys.exit(0)
elif mode == ae_consts.SA_MODE_SHOW_REPORT_DATASET:
examine_dataset_in_file(
ticker=ticker,
dataset_type=ae_consts.SA_DATASET_TYPE_TRADING_REPORT,
path_to_file=show_report_from_file)
log.info(
f'done showing trading performance report {ticker} dataset from '
f'file={show_from_file}')
sys.exit(0)
elif mode == ae_consts.SA_MODE_RESTORE_REDIS_DATASET:
restore_missing_dataset_values_from_algo_ready_file(
ticker=ticker,
path_to_file=restore_algo_file,
redis_address=redis_address,
redis_password=redis_password,
redis_db=redis_db,
output_redis_db=redis_db,
dataset_type=ae_consts.SA_DATASET_TYPE_ALGO_READY,
serialize_datasets=ae_consts.DEFAULT_SERIALIZED_DATASETS)
log.info(
f'done restoring {ticker} dataset from file={restore_algo_file} '
f'into redis_db={redis_db}')
sys.exit(0)
elif mode == ae_consts.SA_MODE_RUN_ALGO:
if args.run_algo_in_file:
if not os.path.exists(args.run_algo_in_file):
log.error(
f'missing algorithm module file: {args.run_algo_in_file}')
sys.exit(1)
if args.backtest_loc:
backtest_loc = args.backtest_loc
if ('file:/' not in backtest_loc and 's3://' not in backtest_loc
and 'redis://' not in backtest_loc):
log.error(
'invalid -b <backtest dataset file> specified. '
f'{backtest_loc} '
'please use either: '
'-b file:/opt/sa/tests/datasets/algo/SPY-latest.json or '
'-b s3://algoready/SPY-latest.json or '
'-b redis://SPY-latest')
sys.exit(1)
if 's3://' in backtest_loc:
load_from_s3_bucket = backtest_loc.split('/')[-2]
load_from_s3_key = backtest_loc.split('/')[-1]
elif 'redis://' in backtest_loc:
load_from_redis_key = backtest_loc.split('/')[-1]
elif 'file:/' in backtest_loc:
load_from_file = backtest_loc.split(':')[-1]
load_publish = True
# end of parsing supported transport - loading an algo-ready
if args.algo_history_loc:
algo_history_loc = args.algo_history_loc
if ('file:/' not in algo_history_loc
and 's3://' not in algo_history_loc
and 'redis://' not in algo_history_loc):
log.error(
'invalid -p <backtest dataset file> specified. '
f'{algo_history_loc} '
'please use either: '
'-p file:/opt/sa/tests/datasets/algo/SPY-latest.json or '
'-p s3://algoready/SPY-latest.json or '
'-p redis://SPY-latest')
sys.exit(1)
if 's3://' in algo_history_loc:
history_s3_bucket = algo_history_loc.split('/')[-2]
history_s3_key = algo_history_loc.split('/')[-1]
elif 'redis://' in algo_history_loc:
history_redis_key = algo_history_loc.split('/')[-1]
elif 'file:/' in algo_history_loc:
history_file = algo_history_loc.split(':')[-1]
history_publish = True
# end of parsing supported transport - trading history
if args.algo_report_loc:
algo_report_loc = args.algo_report_loc
if ('file:/' not in algo_report_loc
and 's3://' not in algo_report_loc
and 'redis://' not in algo_report_loc):
log.error(
'invalid -o <backtest dataset file> specified. '
f'{algo_report_loc} '
'please use either: '
'-o file:/opt/sa/tests/datasets/algo/SPY-latest.json or '
'-o s3://algoready/SPY-latest.json or '
'-o redis://SPY-latest')
sys.exit(1)
if 's3://' in algo_report_loc:
report_s3_bucket = algo_report_loc.split('/')[-2]
report_s3_key = algo_report_loc.split('/')[-1]
elif 'redis://' in algo_report_loc:
report_redis_key = algo_report_loc.split('/')[-1]
elif 'file:/' in algo_report_loc:
report_file = algo_report_loc.split(':')[-1]
report_publish = True
# end of parsing supported transport - trading performance report
if args.algo_extract_loc:
algo_extract_loc = args.algo_extract_loc
if ('file:/' not in algo_extract_loc
and 's3://' not in algo_extract_loc
and 'redis://' not in algo_extract_loc):
log.error(
'invalid -e <backtest dataset file> specified. '
f'{algo_extract_loc} '
'please use either: '
'-e file:/opt/sa/tests/datasets/algo/SPY-latest.json or '
'-e s3://algoready/SPY-latest.json or '
'-e redis://SPY-latest')
sys.exit(1)
if 's3://' in algo_extract_loc:
extract_s3_bucket = algo_extract_loc.split('/')[-2]
extract_s3_key = algo_extract_loc.split('/')[-1]
elif 'redis://' in algo_extract_loc:
extract_redis_key = algo_extract_loc.split('/')[-1]
elif 'file:/' in algo_extract_loc:
extract_file = algo_extract_loc.split(':')[-1]
extract_publish = True
# end of parsing supported transport - extract algorithm-ready
use_custom_algo = True
# end of set up for backtest
if use_custom_algo:
if args.run_on_engine:
run_on_engine = True
log.info('starting algo on the engine')
else:
log.info('starting algo')
algo_res = run_custom_algo.run_custom_algo(
mod_path=args.run_algo_in_file,
ticker=ticker,
balance=use_balance,
commission=use_commission,
start_date=use_start_date,
end_date=use_end_date,
config_file=use_config_file,
name=use_name,
auto_fill=auto_fill,
config_dict=config_dict,
load_from_s3_bucket=load_from_s3_bucket,
load_from_s3_key=load_from_s3_key,
load_from_redis_key=load_from_redis_key,
load_from_file=load_from_file,
load_compress=load_compress,
load_publish=load_publish,
load_config=load_config,
report_redis_key=report_redis_key,
report_s3_bucket=report_s3_bucket,
report_s3_key=report_s3_key,
report_file=report_file,
report_compress=report_compress,
report_publish=report_publish,
report_config=report_config,
history_redis_key=history_redis_key,
history_s3_bucket=history_s3_bucket,
history_s3_key=history_s3_key,
history_file=history_file,
history_compress=history_compress,
history_publish=history_publish,
history_config=history_config,
extract_redis_key=extract_redis_key,
extract_s3_bucket=extract_s3_bucket,
extract_s3_key=extract_s3_key,
extract_file=extract_file,
extract_save_dir=extract_save_dir,
extract_compress=extract_compress,
extract_publish=extract_publish,
extract_config=extract_config,
publish_to_slack=publish_to_slack,
publish_to_s3=publish_to_s3,
publish_to_redis=publish_to_redis,
dataset_type=dataset_type,
serialize_datasets=serialize_datasets,
compress=compress,
encoding=encoding,
redis_enabled=redis_enabled,
redis_key=redis_key,
redis_address=redis_address,
redis_db=redis_db,
redis_password=redis_password,
redis_expire=redis_expire,
redis_serializer=redis_serializer,
redis_encoding=redis_encoding,
s3_enabled=s3_enabled,
s3_key=s3_key,
s3_address=s3_address,
s3_bucket=s3_bucket_name,
s3_access_key=s3_access_key,
s3_secret_key=s3_secret_key,
s3_region_name=s3_region_name,
s3_secure=s3_secure,
slack_enabled=slack_enabled,
slack_code_block=slack_code_block,
slack_full_width=slack_full_width,
dataset_publish_extract=extract_publish,
dataset_publish_history=history_publish,
dataset_publish_report=report_publish,
run_on_engine=run_on_engine,
auth_url=broker_url,
backend_url=backend_url,
include_tasks=include_tasks,
ssl_options=ssl_options,
transport_options=transport_options,
path_to_config_module=path_to_config_module,
timeseries=use_timeseries,
trade_strategy=use_trade_strategy,
verbose=verbose)
show_label = f'algo.name={use_name}'
show_extract = f'{algo_extract_loc}'
show_history = f'{algo_history_loc}'
show_report = f'{algo_report_loc}'
base_label = (f'load={args.run_algo_in_file} extract={show_extract} '
f'history={show_history} report={show_report}')
show_label = (f'{ticker} running in engine '
f'''task_id={algo_res["rec"].get(
"task_id",
"missing-task-id")} {base_label}''')
if not run_on_engine:
algo_trade_history_recs = algo_res['rec'].get('history', [])
show_label = (f'{ticker} algo.name={use_name} {base_label} '
f'trade_history_len={len(algo_trade_history_recs)}')
if args.debug:
log.info(f'algo_res={algo_res}')
if algo_res['status'] == ae_consts.SUCCESS:
log.info(
f'{ae_consts.get_status(status=algo_res["status"])} - '
f'done running {show_label}')
else:
log.error(
f'{ae_consts.get_status(status=algo_res["status"])} - '
f'done running {show_label}')
else:
if algo_res['status'] == ae_consts.SUCCESS:
log.info(
f'{ae_consts.get_status(status=algo_res["status"])} - '
f'done running {show_label}')
else:
log.error(f'run_custom_algo returned error: {algo_res["err"]}')
sys.exit(1)
# end of running the custom algo handler
if mode == ae_consts.SA_MODE_EXTRACT:
log.info(f'done extracting dataset - {ticker}')
elif mode == ae_consts.SA_MODE_RUN_ALGO:
log.info(f'done running algo - {ticker}')
sys.exit(0)
# end of handling mode-specific arg assignments
# sanity checking the work and task are valid
if not valid:
log.error('usage error: missing a supported mode: '
'-f (for prepare a dataset) ')
sys.exit(1)
if required_task and not task_name:
log.error('usage error: missing a supported task_name')
sys.exit(1)
# end of sanity checks
work['ticker'] = ticker
work['ticker_id'] = ticker_id
work['s3_bucket'] = s3_bucket_name
work['s3_key'] = s3_key
work['redis_key'] = redis_key
work['s3_access_key'] = s3_access_key
work['s3_secret_key'] = s3_secret_key
work['s3_region_name'] = s3_region_name
work['s3_address'] = s3_address
work['s3_secure'] = s3_secure
work['redis_address'] = redis_address
work['redis_password'] = redis_password
work['redis_db'] = redis_db
work['redis_expire'] = redis_expire
work['s3_enabled'] = s3_enabled
work['redis_enabled'] = redis_enabled
work['debug'] = debug
work['label'] = f'ticker={ticker}'
task_res = None
if ae_consts.is_celery_disabled():
work['celery_disabled'] = True
log.debug(f'starting without celery work={ae_consts.ppj(work)}')
if mode == ae_consts.SA_MODE_PREPARE:
task_res = prep_dataset.prepare_pricing_dataset(work)
if debug:
log.info(
f'done - result={ae_consts.ppj(task_res)} task={task_name} '
f'status={ae_consts.get_status(status=task_res["status"])} '
f'err={task_res["err"]} label={work["label"]}')
else:
log.info(
f'done - result task={task_name} '
f'status={ae_consts.get_status(status=task_res["status"])} '
f'err={task_res["err"]} label={work["label"]}')
if task_res['status'] == ae_consts.SUCCESS:
image_res = None
label = work['label']
ticker = work['ticker']
if plot_action == ae_consts.PLOT_ACTION_SHOW:
log.info('showing plot')
"""
minute_key = f'{redis_key}_minute'
minute_df_res = build_df.build_df_from_redis(
label=label',
address=redis_address,
db=redis_db,
key=minute_key)
minute_df = None
if (
minute_df_res['status'] == SUCCESS
and minute_df_res['rec']['valid_df']):
minute_df = minute_df_res['rec']['data']
print(minute_df.columns.values)
column_list = [
'close',
'date'
]
"""
today_str = datetime.datetime.now().strftime('%Y-%m-%d')
extract_req = work
extract_req['redis_key'] = f'{work["redis_key"]}_minute'
extract_status, minute_df = \
extract_utils.extract_minute_dataset(
work_dict=work)
if extract_status == ae_consts.SUCCESS:
log.info(f'{label} - ticker={ticker} '
f'creating chart date={today_str}')
"""
Plot Pricing with the Volume Overlay:
"""
image_res = ae_charts.plot_overlay_pricing_and_volume(
log_label=label,
ticker=ticker,
date_format=ae_consts.IEX_MINUTE_DATE_FORMAT,
df=minute_df,
show_plot=True)
"""
Plot the High-Low-Open-Close Pricing:
"""
"""
image_res = ae_charts.plot_hloc_pricing(
log_label=label,
ticker=ticker,
title=f'{ticker} - Minute Pricing - {today_str}',
df=minute_df,
show_plot=True)
"""
"""
Plot by custom columns in the DataFrame
"""
"""
column_list = minute_df.columns.values
column_list = [
'date',
'close',
'high',
'low',
'open'
]
image_res = ae_charts.plot_df(
log_label=label,
title='Pricing Title',
column_list=column_list,
df=minute_df,
xcol='date',
xlabel='Date',
ylabel='Pricing',
show_plot=True)
"""
elif plot_action == ae_consts.PLOT_ACTION_SAVE_TO_S3:
log.info('coming soon - support to save to s3')
elif plot_action == ae_consts.PLOT_ACTION_SAVE_AS_FILE:
log.info('coming soon - support to save as file')
if image_res:
log.info(f'{label} show plot - '
f'status={ae_consts.get_status(image_res["status"])} '
f'err={image_res["err"]}')
else:
log.info(f'connecting to broker={broker_url} backend={backend_url}')
# Get the Celery app
app = get_celery_app.get_celery_app(
name=__name__,
auth_url=broker_url,
backend_url=backend_url,
path_to_config_module=path_to_config_module,
ssl_options=ssl_options,
transport_options=transport_options,
include_tasks=include_tasks)
log.info(f'calling task={task_name} - work={ae_consts.ppj(work)}')
job_id = app.send_task(task_name, (work, ))
log.info(f'calling task={task_name} - success job_id={job_id}')
