Source code for dtale.cli.loaders.arctic_loader

from builtins import map
from logging import getLogger

import pandas as pd

from dtale.cli.clickutils import get_loader_options

logger = getLogger(__name__)

'''
  IMPORTANT!!! This global variable is required for building any customized CLI loader.
  When find loaders on startup it will search for any modules containing the global variable LOADER_KEY.
'''
NOW = pd.Timestamp('now').strftime('%Y%m%d')
LOADER_KEY = 'arctic'
LOADER_PROPS = [
    dict(name='host', help='arctic hostname'),
    dict(name='library', help='library within --arctic-host'),
    dict(name='node', help='node within --arctic-library'),
    dict(name='start', help='start-date of range to load if reading from ChunkStore (EX: {})'.format(NOW)),
    dict(name='end', help='end-date of range to load if reading from ChunkStore (EX: {})'.format(NOW)),
]


# IMPORTANT!!! This function is required for building any customized CLI loader.
[docs]def find_loader(kwargs): """ Arctic implementation of data loader which will return a function if any of the `click` options based on LOADER_KEY & LOADER_PROPS have been used, otherwise return None :param kwargs: Optional keyword arguments to be passed from `click` :return: data loader function for arctic implementation """ arctic_opts = get_loader_options(LOADER_KEY, kwargs) if len([f for f in arctic_opts.values() if f]): try: from arctic import Arctic from arctic.store.versioned_item import VersionedItem except ImportError: raise ImportError('In order to use the --arctic loader you must install arctic!') def _arctic_loader(): host = Arctic(arctic_opts['host']) lib = host.get_library(arctic_opts['library']) read_kwargs = {} start, end = map(arctic_opts.get, ['start', 'end']) if start and end: read_kwargs['chunk_range'] = pd.date_range(start, end) data = lib.read(arctic_opts['node'], **read_kwargs) if isinstance(data, VersionedItem): data = data.data return data return _arctic_loader return None