from astroquery.gaia import GaiaClass
from gaiaxpy.core.server import data_release, gaia_server
from .archive_reader import ArchiveReader
from .dataframe_reader import DataFrameReader
from ..core.custom_errors import SelectorNotImplementedError
not_supported_functions = ['apply_colour_equation', 'apply_error_correction']
[docs]
def extremes_are_enclosing(first_row, column):
if first_row[column][0] == '[' and first_row[column][-1] == ']':
return True
elif first_row[column][0] == '(' and first_row[column][-1] == ')':
return True
else:
return False
[docs]
class ListReader(ArchiveReader):
def __init__(self, content, function, truncation, user, password, additional_columns=None, selector=None,
disable_info=False):
if selector is not None:
raise SelectorNotImplementedError('List')
if additional_columns is None:
additional_columns = dict()
super(ListReader, self).__init__(function, truncation, user, password, additional_columns=additional_columns,
disable_info=disable_info)
if content:
self.content = content
else:
raise ValueError('Input list cannot be empty.')
self.disable_info = disable_info
[docs]
def read(self, _data_release=data_release):
sources = self.content
function_name = self.function.__name__
if function_name in not_supported_functions:
raise ValueError(f'Function {function_name} does not support receiving a list as input.')
# Connect to geapre
gaia = GaiaClass(gaia_tap_server=gaia_server, gaia_data_server=gaia_server)
self._login(gaia)
# ADQL query
if not self.disable_info:
self.show_info_msg()
result = gaia.load_data(ids=sources, format='csv', data_release=_data_release, data_structure='raw',
retrieval_type='XP_CONTINUOUS', avoid_datatype_check=True)
try:
continuous_key = [key for key in result.keys() if 'continuous' in key.lower()][0]
data = result[continuous_key][0].to_pandas()
except (KeyError, IndexError):
raise ValueError('No continuous raw data found for the given sources.')
if not self.disable_info:
self.show_info_msg(done=True)
return DataFrameReader(data, function_name, self.truncation, additional_columns=self.additional_columns,
disable_info=True).read()