Source code for astroquery.ogle.core

# Licensed under a 3-clause BSD style license - see LICENSE.rst

import warnings
import functools
import numpy as np
from astropy.table import Table
from astropy.utils.exceptions import AstropyDeprecationWarning

from ..query import BaseQuery
from ..utils import commons, async_to_sync, prepend_docstr_nosections

from . import conf

__all__ = ['Ogle', 'OgleClass']

__doctest_skip__ = ['OgleClass.*']

def _validate_params(func):
    def wrapper(*args, **kwargs):
        algorithm = kwargs.get('algorithm')
        quality = kwargs.get('quality')
        coord_sys = kwargs.get('coord_sys')
        # if unspecified, the defaults (which are OK) will be used
        if algorithm is not None and algorithm not in Ogle.algorithms:
            raise ValueError("'algorithm` must be one of \
        if quality is not None and quality not in Ogle.quality_codes:
            raise ValueError("'quality' must be one of \
        if coord_sys is not None and coord_sys not in Ogle.coord_systems:
            raise ValueError("'coord_sys' must be one of \
        return func(*args, **kwargs)
    return wrapper

class CoordParseError(ValueError):

    def __init__(self, message='Could not parse `coord` argument.', **kwargs):
        super().__init__(message, **kwargs)

[docs] @async_to_sync class OgleClass(BaseQuery): DATA_URL = conf.server TIMEOUT = conf.timeout algorithms = ['NG', 'NN'] quality_codes = ['GOOD', 'ALL'] coord_systems = ['RD', 'LB'] @_validate_params def _args_to_payload(self, *, coord=None, algorithm='NG', quality='GOOD', coord_sys='RD'): """ Query the OGLE-III interstellar extinction calculator. Parameters ---------- coord : list-like Pointings to evaluate interstellar extinction. Three forms of coordinates may be passed:: * single astropy coordinate instance * list-like object (1 x N) of astropy coordinate instances * list-like object (2 x N) of RA/Decs or Glon/Glat as strings or floats. (May not be supported in future versions.) algorithm : string Algorithm to interpolate data for desired coordinate. Valid options:: * 'NG': nearest grid point * 'NN': natural neighbor interpolation quality : string Quality factor for data. Valid options:: * 'All': all points * 'GOOD': QF=0 as described in Nataf et al. (2012). coord_sys : string Coordinate system if using lists of RA/Decs in ``coord``. Valid options:: * 'RD': equatorial coordinates * 'LB': Galactic coordinates. Returns ------- table : `~astropy.table.Table` Raises ------ CoordParseError Exception raised for malformed coordinate input Examples -------- Using astropy coordinates: >>> from astropy.coordinates import SkyCoord >>> from astropy import units as u >>> co = SkyCoord(0.0, 3.0, unit=(,, ... frame='galactic') >>> from astroquery.ogle import Ogle >>> t = Ogle.query_region(coord=co) >>> t.pprint() RA/LON Dec/Lat A_I E(V-I) S_E(V-I) R_JKVI mu S_mu --------- ---------- ----- ------ -------- ------ ------ ----- ... 17.568157 -27.342475 3.126 2.597 0.126 0.3337 14.581 0.212 """ # Determine the coord object type and generate list of coordinates lon, lat = self._parse_coords(coord, coord_sys) # Generate payload query_header = '# {0} {1} {2}\n'.format(coord_sys, algorithm, quality) sources = '\n'.join(['{0} {1}'.format(lo, la) for lo, la in zip(lon, lat)]) file_data = query_header + sources files = {'file1': file_data} return files
[docs] @prepend_docstr_nosections(_args_to_payload.__doc__) def query_region_async(self, *args, **kwargs): """ Returns ------- response : `requests.Response` The HTTP response returned from the service. """ files = self._args_to_payload(*args, **kwargs) # Make request params = {'dnfile': 'submit'} response = self._request("POST", url=self.DATA_URL, data=params, timeout=self.TIMEOUT, files=files) response.raise_for_status() return response
def _parse_result(self, response, *, verbose=False): # Header is in first row starting with #, this works with the default t ='\n'), format='ascii') return t def _parse_coords(self, coord, coord_sys): """ Parse single astropy.coordinates instance, list of astropy.coordinate instances, or 2xN list of coordinate values. Parameters ---------- coord : list-like coord_sys : string Returns ------- lon : list Longitude coordinate values lat : list Latitude coordinate values """ if not isinstance(coord, list): # single astropy coordinate try: ra, dec = commons.coord_to_radec(coord) lon = [ra] lat = [dec] return lon, lat except ValueError: raise CoordParseError() elif isinstance(coord, list): shape = np.shape(coord) # list of astropy coordinates if len(shape) == 1: try: radec = [commons.coord_to_radec(co) for co in coord] lon, lat = list(zip(*radec)) return lon, lat except ValueError: raise CoordParseError() # list-like of values elif (len(shape) == 2) & (shape[0] == 2): warnings.warn('Non-Astropy coordinates may not be supported ' 'in a future version.', AstropyDeprecationWarning) return coord else: raise CoordParseError() else: raise CoordParseError() def _parse_raw(self, raw_data): """ Parse the raw strings returned from the query request and return a list of lists for each column in string format. Parameters ---------- raw_data : list Raw data from the request formatted to as list of strings for each line Returns ------- data : list List of lists for each column as strings """ # Requests returns unicode encoding, return to ascii data = [line.split() for line in raw_data[1:]] # Transpose while keeping as list of lists data = list(map(list, zip(*data))) return data
Ogle = OgleClass()