Source code for

This module provides the `Fido
<>` instance of
`` it also provides the
`` class which
` <>` returns and the
`` class that is returned by
`Fido.fetch <>`.

# This module was initially developed under funding provided by Google Summer
# of Code 2014
from __future__ import print_function, absolute_import
from collections import Sequence

from sunpy.util.datatype_factory_base import BasicRegistrationFactory
from sunpy.util.datatype_factory_base import NoMatchError
from sunpy.util.datatype_factory_base import MultipleMatchError

from import CLIENTS
from import QueryResponse
from import VSOClient, QueryResponse as vsoQueryResponse

from import attr
from import attrs as a

__all__ = ['Fido', 'UnifiedResponse', 'UnifiedDownloaderFactory', 'DownloadResponse']

[docs]class UnifiedResponse(Sequence): """ The object used to store results from ``. The `` object returns results from multiple different clients. So it is always possible to sub-select these results, you can index this object with two indices. The first index is the client index, i.e. corresponding to the results from the ``. The second index can be used to select records from the results returned from that client, for instance if you only want every second result you could index the second dimension with ``::2``. """ def __init__(self, lst): """ Parameters ---------- lst : `object` A single instance or an iterable of ``(QueryResponse, client)`` pairs or ``QueryResponse`` objects with a ``.client`` attribute. """ tmplst = [] # numfile is the number of files not the number of results. self._numfile = 0 if isinstance(lst, (QueryResponse, vsoQueryResponse)): if not hasattr(lst, 'client'): raise ValueError( ("A {} object is only a valid input to UnifiedResponse " "if it has a client attribute."). format(type(lst).__name__)) tmplst.append(lst) self._numfile = len(lst) else: for block in lst: if isinstance(block, tuple) and len(block) == 2: block[0].client = block[1] tmplst.append(block[0]) self._numfile += len(block[0]) elif hasattr(block, 'client'): tmplst.append(block) self._numfile += len(block) else: raise ValueError( "{} is not a valid input to UnifiedResponse.".format(type(lst))) self._list = tmplst def __len__(self): return len(self._list) def __iter__(self): return self.responses def _handle_record_slice(self, client_resp, record_slice): """ Given a slice to be applied to the results from a single client, return an object of the same type as client_resp. """ # When we subindex, we want to persist the type of the response object. resp_type = type(client_resp) # Make sure we always have an iterable, as most of the response objects # expect one. if isinstance(record_slice, int): resp = [client_resp[record_slice]] else: resp = client_resp[record_slice] # Reconstruct a response object with the sub-indexed records. ret = resp_type(resp) # Make sure we pass the client back out again. ret.client = client_resp.client return ret def __getitem__(self, aslice): """ Support slicing the UnifiedResponse as a 2D object. The first index is to the client and the second index is the records returned from those clients. """ # Just a single int as a slice, we are just indexing client. if isinstance(aslice, (int, slice)): ret = self._list[aslice] # Make sure we only have a length two slice. elif isinstance(aslice, tuple): if len(aslice) > 2: raise IndexError("UnifiedResponse objects can only " "be sliced with one or two indices.") # Indexing both client and records, but only for one client. if isinstance(aslice[0], int): client_resp = self._list[aslice[0]] ret = self._handle_record_slice(client_resp, aslice[1]) # Indexing both client and records for multiple clients. else: intermediate = self._list[aslice[0]] ret = [] for client_resp in intermediate: resp = self._handle_record_slice(client_resp, aslice[1]) ret.append(resp) else: raise IndexError("UnifiedResponse objects must be sliced with integers.") return UnifiedResponse(ret)
[docs] def get_response(self, i): """ Get the actual response rather than another UnifiedResponse object. """ return self._list[i]
[docs] def response_block_properties(self): """ Returns a set of class attributes on all the response blocks. Returns ------- s : list List of strings, containing attribute names in the response blocks. """ s = self.get_response(0).response_block_properties() for i in range(1, len(self)): s.intersection(self.get_response(i).response_block_properties()) return s
@property def responses(self): """ A generator of all the `` objects contained in the `` object. """ for i in range(len(self)): yield self.get_response(i) @property def file_num(self): return self._numfile def _repr_html_(self): nprov = len(self) if nprov == 1: ret = 'Results from {} Provider:</br></br>'.format(len(self)) else: ret = 'Results from {} Providers:</br></br>'.format(len(self)) for block in self.responses: ret += "{} Results from the {}:</br>".format(len(block), block.client.__class__.__name__) ret += block._repr_html_() ret += '</br>' return ret def __repr__(self): ret = super(UnifiedResponse, self).__repr__() ret += '\n' + str(self) return ret def __str__(self): nprov = len(self) if nprov == 1: ret = 'Results from {} Provider:\n\n'.format(len(self)) else: ret = 'Results from {} Providers:\n\n'.format(len(self)) for block in self.responses: ret += "{} Results from the {}:\n".format(len(block), block.client.__class__.__name__) lines = repr(block).split('\n') ret += '\n'.join(lines[1:]) ret += '\n\n' return ret
[docs]class DownloadResponse(list): """ Object returned by clients servicing the query. """ def __init__(self, lst): super(DownloadResponse, self).__init__(lst)
[docs] def wait(self, progress=True): """ Waits for all files to download completely and then return. Parameters ---------- progress : `bool` if true, display a progress bar. Returns ------- List of file paths to which files have been downloaded. """ filelist = [] for resobj in self: filelist.extend(resobj.wait(progress=progress)) return filelist
""" Construct a simple AttrWalker to split up searches into blocks of attrs being 'anded' with AttrAnd. This pipeline only understands AttrAnd and AttrOr, passes in an AttrAnd object of all the query parameters, if an AttrOr is encountered the query is split into the component parts of the OR, which at somepoint will end up being an AttrAnd object, at which point it is passed into _get_registered_widget. """ query_walker = attr.AttrWalker() @query_walker.add_creator(attr.AttrAnd) def _create_and(walker, query, factory): is_time = any([isinstance(x, a.Time) for x in query.attrs]) if not is_time: error = "The following part of the query did not have a time specified:\n" for at in query.attrs: error += str(at) + ', ' raise ValueError(error) # Return the response and the client return [factory._make_query_to_client(*query.attrs)] @query_walker.add_creator(attr.AttrOr) def _create_or(walker, query, factory): qblocks = [] for attrblock in query.attrs: qblocks.extend(walker.create(attr.and_(attrblock), factory)) return qblocks
[docs]class UnifiedDownloaderFactory(BasicRegistrationFactory): """\*args, \*\*kwargs) Search and Download data from a variety of supported sources. """
[docs] def search(self, *query): """ Query for data in form of multiple parameters. Examples -------- Query for LYRALightCurve data for the time range ('2012/3/4','2012/3/6') >>> from import Fido, attrs as a >>> import astropy.units as u >>> unifresp ='2012/3/4', '2012/3/6'), a.Instrument('lyra')) # doctest: +REMOTE_DATA Query for data from Nobeyama Radioheliograph and RHESSI >>> unifresp ='2012/3/4', '2012/3/6'), ... (a.Instrument('norh') & a.Wavelength(17*u.GHz)) | a.Instrument('rhessi')) # doctest: +REMOTE_DATA Query for 304 Angstrom SDO AIA data with a cadence of 10 minutes >>> import astropy.units as u >>> from import Fido, attrs as a >>> unifresp ='2012/3/4', '2012/3/6'), ... a.Instrument('AIA'), ... a.Wavelength(304*u.angstrom, 304*u.angstrom), ... a.vso.Sample(10*u.minute)) # doctest: +REMOTE_DATA Parameters ---------- query : ``, `` A query consisting of multiple parameters which define the requested data. The query is specified using attributes from the VSO and the JSOC. The query can mix attributes from the VSO and the JSOC. Returns ------- `` Container of responses returned by clients servicing query. Notes ----- The conjunction 'and' transforms query into disjunctive normal form ie. query is now of form A & B or ((A & B) | (C & D)) This helps in modularising query into parts and handling each of the parts individually. """ query = attr.and_(*query) return UnifiedResponse(query_walker.create(query, self))
# Python 3: this line should be like this # def fetch(self, *query_results, wait=True, progress=True, **kwargs):
[docs] def fetch(self, *query_results, **kwargs): """ Download the records represented by `` objects. Parameters ---------- query_results : `` Container returned by query method, or multiple. wait : `bool` fetch will wait until the download is complete before returning. progress : `bool` Show a progress bar while the download is running. Returns ------- `` Example -------- >>> from import Time, Instrument >>> unifresp ='2012/3/4','2012/3/5'), Instrument('EIT')) # doctest: +REMOTE_DATA >>> downresp = Fido.fetch(unifresp) # doctest: +SKIP >>> file_paths = downresp.wait() # doctest: +SKIP """ wait = kwargs.pop("wait", True) progress = kwargs.pop("progress", True) reslist = [] for query_result in query_results: for block in query_result.responses: reslist.append(block.client.fetch(block, **kwargs)) results = DownloadResponse(reslist) if wait: return results.wait(progress=progress) else: return results
[docs] def __call__(self, *args, **kwargs): raise TypeError("'{}' object is not callable".format(self.__class__.__name__))
def _check_registered_widgets(self, *args): """Factory helper function""" candidate_widget_types = list() for key in self.registry: if self.registry[key](*args): candidate_widget_types.append(key) n_matches = len(candidate_widget_types) if n_matches == 0: # There is no default client raise NoMatchError("This query was not understood by any clients. Did you miss an OR?") elif n_matches == 2: # If two clients have reported they understand this query, and one # of them is the VSOClient, then we ignore VSOClient. if VSOClient in candidate_widget_types: candidate_widget_types.remove(VSOClient) # Finally check that we only have one match. if len(candidate_widget_types) > 1: candidate_names = [cls.__name__ for cls in candidate_widget_types] raise MultipleMatchError("The following clients matched this query. " "Please make your query more specific.\n" "{}".format(candidate_names)) return candidate_widget_types def _make_query_to_client(self, *query): """ Given a query, look up the client and perform the query. Parameters ---------- query : collection of `` objects Returns ------- response : `` client : `object` Instance of client class """ candidate_widget_types = self._check_registered_widgets(*query) tmpclient = candidate_widget_types[0]() return*query), tmpclient
Fido = UnifiedDownloaderFactory( registry=CLIENTS, additional_validation_functions=['_can_handle_query'])