示例#1
0
def get_market_config():
    r"""Read the configuration file for MarketFlow.

    Parameters
    ----------
    None : None

    Returns
    -------
    specs : dict
        The parameters for controlling MarketFlow.

    """

    logger.info("MarketFlow Configuration")

    # Read the configuration file

    full_path = SSEP.join([PSEP, 'config', 'market.yml'])
    with open(full_path, 'r') as ymlfile:
        cfg = yaml.load(ymlfile, Loader=yaml.FullLoader)

    # Store configuration parameters in dictionary

    specs = {}

    # Section: market [this section must be first]

    specs['create_model'] = cfg['market']['create_model']
    fractal = cfg['market']['data_fractal']
    try:
        _ = pd.to_timedelta(fractal)
    except:
        logger.info("data_fractal [%s] is an invalid pandas offset", fractal)
    specs['data_fractal'] = fractal
    specs['data_history'] = cfg['market']['data_history']
    specs['forecast_period'] = cfg['market']['forecast_period']
    fractal = cfg['market']['fractal']
    try:
        test_interval = pd.to_timedelta(fractal)
    except:
        logger.info("fractal [%s] is an invalid pandas offset", fractal)
    specs['fractal'] = fractal
    specs['lag_period'] = cfg['market']['lag_period']
    specs['leaders'] = cfg['market']['leaders']
    specs['predict_history'] = cfg['market']['predict_history']
    specs['schema'] = cfg['market']['schema']
    specs['subschema'] = cfg['market']['subschema']
    specs['api_key_name'] = cfg['market']['api_key_name']
    specs['api_key'] = cfg['market']['api_key']
    specs['subject'] = cfg['market']['subject']
    specs['target_group'] = cfg['market']['target_group']

    # Set API Key environment variable
    if specs['api_key']:
        os.environ[specs['api_key_name']] = specs['api_key']

    # Create the subject/schema/fractal namespace

    sspecs = [specs['subject'], specs['schema'], specs['fractal']]
    space = Space(*sspecs)

    # Section: features

    try:
        logger.info("Getting Features")
        specs['features'] = cfg['features']
    except:
        logger.info("No Features Found")
        specs['features'] = {}

    # Section: groups

    try:
        logger.info("Defining Groups")
        for g, m in list(cfg['groups'].items()):
            Group(g, space)
            Group.groups[g].add(m)
    except:
        logger.info("No Groups Found")

    # Section: aliases

    try:
        logger.info("Defining Aliases")
        for k, v in list(cfg['aliases'].items()):
            Alias(k, v)
    except:
        logger.info("No Aliases Found")

    # Section: system

    try:
        logger.info("Getting System Parameters")
        specs['system'] = cfg['system']
    except:
        logger.info("No System Parameters Found")
        specs['system'] = {}

    # Section: variables

    logger.info("Defining AlphaPy Variables [phigh, plow]")

    Variable('phigh', 'probability >= 0.7')
    Variable('plow', 'probability <= 0.3')

    try:
        logger.info("Defining User Variables")
        for k, v in list(cfg['variables'].items()):
            Variable(k, v)
    except:
        logger.info("No Variables Found")

    # Section: functions

    try:
        logger.info("Getting Variable Functions")
        specs['functions'] = cfg['functions']
    except:
        logger.info("No Variable Functions Found")
        specs['functions'] = {}

    # Log the stock parameters

    logger.info('MARKET PARAMETERS:')
    logger.info('api_key         = %s', specs['api_key'])
    logger.info('api_key_name    = %s', specs['api_key_name'])
    logger.info('create_model    = %r', specs['create_model'])
    logger.info('data_fractal    = %s', specs['data_fractal'])
    logger.info('data_history    = %d', specs['data_history'])
    logger.info('features        = %s', specs['features'])
    logger.info('forecast_period = %d', specs['forecast_period'])
    logger.info('fractal         = %s', specs['fractal'])
    logger.info('lag_period      = %d', specs['lag_period'])
    logger.info('leaders         = %s', specs['leaders'])
    logger.info('predict_history = %s', specs['predict_history'])
    logger.info('schema          = %s', specs['schema'])
    logger.info('subject         = %s', specs['subject'])
    logger.info('subschema       = %s', specs['subschema'])
    logger.info('system          = %s', specs['system'])
    logger.info('target_group    = %s', specs['target_group'])

    # Market Specifications
    return specs
示例#2
0
def get_market_config():
    r"""Read the configuration file for MarketFlow.

    Parameters
    ----------
    None : None

    Returns
    -------
    specs : dict
        The parameters for controlling MarketFlow.

    """

    logger.info("MarketFlow Configuration")

    # Read the configuration file

    full_path = SSEP.join([PSEP, 'config', 'market.yml'])
    with open(full_path, 'r') as ymlfile:
        cfg = yaml.load(ymlfile)

    # Store configuration parameters in dictionary

    specs = {}

    # Section: market [this section must be first]

    specs['forecast_period'] = cfg['market']['forecast_period']
    specs['fractal'] = cfg['market']['fractal']
    specs['leaders'] = cfg['market']['leaders']
    specs['data_history'] = cfg['market']['data_history']
    specs['predict_history'] = cfg['market']['predict_history']
    specs['schema'] = cfg['market']['schema']
    specs['target_group'] = cfg['market']['target_group']

    # Create the subject/schema/fractal namespace

    sspecs = ['stock', specs['schema'], specs['fractal']]
    space = Space(*sspecs)

    # Section: features

    try:
        logger.info("Getting Features")
        specs['features'] = cfg['features']
    except:
        logger.info("No Features Found")
        specs['features'] = {}

    # Section: groups

    try:
        logger.info("Defining Groups")
        for g, m in cfg['groups'].items():
            Group(g, space)
            Group.groups[g].add(m)
    except:
        logger.info("No Groups Found")

    # Section: aliases

    try:
        logger.info("Defining Aliases")
        for k, v in cfg['aliases'].items():
            Alias(k, v)
    except:
        logger.info("No Aliases Found")

    # Section: system

    try:
        logger.info("Getting System Parameters")
        specs['system'] = cfg['system']
    except:
        logger.info("No System Parameters Found")
        specs['system'] = {}

    # Section: variables

    try:
        logger.info("Defining Variables")
        for k, v in cfg['variables'].items():
            Variable(k, v)
    except:
        logger.info("No Variables Found")

    # Section: functions

    try:
        logger.info("Getting Variable Functions")
        specs['functions'] = cfg['functions']
    except:
        logger.info("No Variable Functions Found")
        specs['functions'] = {}

    # Log the stock parameters

    logger.info('MARKET PARAMETERS:')
    logger.info('features        = %s', specs['features'])
    logger.info('forecast_period = %d', specs['forecast_period'])
    logger.info('fractal         = %s', specs['fractal'])
    logger.info('leaders         = %s', specs['leaders'])
    logger.info('data_history    = %d', specs['data_history'])
    logger.info('predict_history = %s', specs['predict_history'])
    logger.info('schema          = %s', specs['schema'])
    logger.info('system          = %s', specs['system'])
    logger.info('target_group    = %s', specs['target_group'])

    # Market Specifications
    return specs