def test_walker_create_vso_instrument(vso_session):
entries = walker.create(vso.attrs.Instrument("RHESSI"), vso_session)
assert entries == [
tables.DatabaseEntry(
id=1,
source=u"RHESSI",
provider=u"LSSP",
physobs=u"intensity",
fileid=u"/hessidata/2011/09/20/hsi_20110920_010920",
observation_time_start=datetime(2011, 9, 20, 1, 9, 20),
observation_time_end=datetime(2011, 9, 20, 2, 27, 40),
instrument=u"RHESSI",
size=-1.0,
wavemin=0.4132806430668068,
wavemax=7.293187818826002e-05,
),
tables.DatabaseEntry(
id=2,
source=u"RHESSI",
provider=u"LSSP",
physobs=u"intensity",
fileid=u"/hessidata/2011/09/19/hsi_20110919_233340",
observation_time_start=datetime(2011, 9, 19, 23, 33, 40),
observation_time_end=datetime(2011, 9, 20, 1, 9, 20),
instrument=u"RHESSI",
size=-1.0,
wavemin=0.4132806430668068,
wavemax=7.293187818826002e-05,
),
]
def test_walker_create_vso_instrument(vso_session):
entries = walker.create(vso.attrs.Instrument('RHESSI'), vso_session)
# TODO: Flaky
expected = [
tables.DatabaseEntry(id=1, source=u'RHESSI', provider=u'LSSP',
physobs=u'intensity',
fileid=u'/hessidata/2011/09/20/hsi_20110920_010920',
observation_time_start=datetime(2011, 9, 20, 1, 9, 20),
observation_time_end=datetime(2011, 9, 20, 2, 27, 40),
instrument=u'RHESSI', wavemin=0.4132806579880238,
wavemax=7.293188082141598e-05),
tables.DatabaseEntry(id=2, source=u'RHESSI', provider=u'LSSP',
physobs=u'intensity',
fileid=u'/hessidata/2011/09/19/hsi_20110919_233340',
observation_time_start=datetime(2011, 9, 19, 23, 33, 40),
observation_time_end=datetime(2011, 9, 20, 1, 9, 20),
instrument=u'RHESSI', wavemin=0.4132806579880238,
wavemax=7.293188082141598e-05)]
expected_2 = [
tables.DatabaseEntry(id=1, source=u'RHESSI', provider=u'LSSP',
physobs=u'intensity',
fileid=u'/hessidata/2011/09/19/hsi_20110919_233340',
observation_time_start=datetime(2011, 9, 19, 23, 33, 40),
observation_time_end=datetime(2011, 9, 20, 1, 9, 20),
instrument=u'RHESSI', wavemin=0.4132806579880238,
wavemax=7.293188082141598e-05),
tables.DatabaseEntry(id=2, source=u'RHESSI', provider=u'LSSP',
physobs=u'intensity',
fileid=u'/hessidata/2011/09/20/hsi_20110920_010920',
observation_time_start=datetime(2011, 9, 20, 1, 9, 20),
observation_time_end=datetime(2011, 9, 20, 2, 27, 40),
instrument=u'RHESSI', wavemin=0.4132806579880238,
wavemax=7.293188082141598e-05)]
assert len(entries) == len(expected)
assert entries in [expected, expected_2]
def test_walker_create_vso_instrument(vso_session):
entries = walker.create(vso.attrs.Instrument('AIA'), vso_session)
assert entries == [
tables.DatabaseEntry(id=1, source='SDO', provider='JSOC',
physobs='intensity', fileid='aia__lev1:193:1086652831',
observation_time_start=datetime(2011, 6, 8, 23, 59, 55),
observation_time_end=datetime(2011, 6, 8, 23, 59, 56),
instrument='AIA', size=66200.0, wavemin=19.3, wavemax=19.3),
tables.DatabaseEntry(id=2, source='SDO', provider='JSOC',
physobs='intensity', fileid='aia__lev1:94:1086652832',
observation_time_start=datetime(2011, 6, 8, 23, 59, 56),
observation_time_end=datetime(2011, 6, 8, 23, 59, 57),
instrument='AIA', size=66200.0, wavemin=9.4, wavemax=9.4),
tables.DatabaseEntry(id=3, source='SDO', provider='JSOC',
physobs='intensity', fileid='aia__lev1:131:1086652833',
observation_time_start=datetime(2011, 6, 8, 23, 59, 57),
observation_time_end=datetime(2011, 6, 8, 23, 59, 58),
instrument='AIA', size=66200.0, wavemin=13.1, wavemax=13.1),
tables.DatabaseEntry(id=4, source='SDO', provider='JSOC',
physobs='intensity', fileid='aia__lev1:171:1086652835',
observation_time_start=datetime(2011, 6, 9, 0, 0),
observation_time_end=datetime(2011, 6, 9, 0, 0, 1),
instrument='AIA', size=66200.0, wavemin=17.1, wavemax=17.1),
tables.DatabaseEntry(id=5, source='SDO', provider='JSOC',
physobs='intensity', fileid='aia__lev1:211:1086652836',
observation_time_start=datetime(2011, 6, 9, 0, 0),
observation_time_end=datetime(2011, 6, 9, 0, 0, 1),
instrument='AIA', size=66200.0, wavemin=21.1, wavemax=21.1)]
def test_walker_create_downloadtime_inverted(session):
tag = tables.Tag('foo')
tag.id = 1
fits_header_entry = tables.FitsHeaderEntry('INSTRUME', 'EIT')
fits_header_entry.id = 1
download_time = ~DownloadTime(
datetime(2005, 6, 15, 7), datetime(2005, 6, 15, 9))
entries = walker.create(download_time, session)
assert len(entries) == 7
assert entries == [
tables.DatabaseEntry(
id=1, download_time=datetime(2005, 6, 15, 1)),
tables.DatabaseEntry(
id=2, starred=True, download_time=datetime(2005, 6, 15, 2)),
tables.DatabaseEntry(
id=3, path='/tmp', download_time=datetime(2005, 6, 15, 3)),
tables.DatabaseEntry(
id=4, starred=True, download_time=datetime(2005, 6, 15, 4)),
tables.DatabaseEntry(
id=5, tags=[tag], download_time=datetime(2005, 6, 15, 5)),
tables.DatabaseEntry(
id=6, starred=True, path='/tmp',
download_time=datetime(2005, 6, 15, 6)),
tables.DatabaseEntry(
id=10, starred=True, tags=[tag],
download_time=datetime(2005, 6, 15, 10),
fits_header_entries=[fits_header_entry])]
def test_walker_create_downloadtime_exists(session):
download_time = DownloadTime(datetime(2005, 6, 15, 7), datetime(2005, 6, 15, 9))
entries = walker.create(download_time, session)
assert entries == [
tables.DatabaseEntry(id=7, download_time=datetime(2005, 6, 15, 7)),
tables.DatabaseEntry(id=8, starred=True, download_time=datetime(2005, 6, 15, 8)),
tables.DatabaseEntry(id=9, path="/tmp", download_time=datetime(2005, 6, 15, 9)),
]
def query(self, *query, **kwargs):
"""
query(*query[, sortby])
Send the given query to the database and return a list of
database entries that satisfy all of the given attributes.
Apart from the attributes supported by the VSO interface, the following
attributes are supported:
- :class:`sunpy.database.attrs.Starred`
- :class:`sunpy.database.attrs.Tag`
- :class:`sunpy.database.attrs.Path`
- :class:`sunpy.database.attrs.DownloadTime`
- :class:`sunpy.database.attrs.FitsHeaderEntry`
An important difference to the VSO attributes is that these attributes
may also be used in negated form using the tilde ~ operator.
Parameters
----------
query : list
A variable number of attributes that are chained together via the
boolean AND operator. The | operator may be used between attributes
to express the boolean OR operator.
sortby : str, optional
The column by which to sort the returned entries. The default is to
sort by the start of the observation. See the attributes of
:class:`sunpy.database.tables.DatabaseEntry` for a list of all
possible values.
Raises
------
TypeError
if no attribute is given or if some keyword argument other than
'sortby' is given.
Examples
--------
The query in the following example searches for all non-starred entries
with the tag 'foo' or 'bar' (or both).
>>> database.query(~attrs.Starred(), attrs.Tag('foo') | attrs.Tag('bar'))
"""
if not query:
raise TypeError('at least one attribute required')
sortby = kwargs.pop('sortby', 'observation_time_start')
if kwargs:
k, v = kwargs.popitem()
raise TypeError('unexpected keyword argument {0!r}'.format(k))
return sorted(
walker.create(and_(*query), self.session),
key=operator.attrgetter(sortby))
def test_walker_create_path_attr_exists(session):
entries = walker.create(Path('/tmp'), session)
assert len(entries) == 3
assert tables.DatabaseEntry(
id=3, path='/tmp', download_time=datetime(2005, 6, 15, 3)) in entries
assert tables.DatabaseEntry(
id=6, path='/tmp', starred=True,
download_time=datetime(2005, 6, 15, 6)) in entries
assert tables.DatabaseEntry(
id=9, path='/tmp', download_time=datetime(2005, 6, 15, 9)) in entries
def test_walker_create_anded_query(session):
entries = walker.create(Tag('foo') & Starred(), session)
assert len(entries) == 1
tag = tables.Tag('foo')
tag.id = 1
fits_header_entry = tables.FitsHeaderEntry('INSTRUME', 'EIT')
fits_header_entry.id = 1
assert tables.DatabaseEntry(
id=10, starred=True, tags=[tag],
download_time=datetime(2005, 6, 15, 10),
fits_header_entries=[fits_header_entry]) in entries
def test_walker_create_fitsheader(session):
tag = tables.Tag('foo')
tag.id = 1
entries = walker.create(FitsHeaderEntry('INSTRUME', 'EIT'), session)
fits_header_entry = tables.FitsHeaderEntry('INSTRUME', 'EIT')
fits_header_entry.id = 1
assert len(entries) == 1
assert entries == [tables.DatabaseEntry(
id=10, starred=True, tags=[tag],
download_time=datetime(2005, 6, 15, 10),
fits_header_entries=[fits_header_entry])]
def test_walker_create_starred_false(session):
entries = walker.create(~Starred(), session)
tag = tables.Tag("foo")
tag.id = 1
assert len(entries) == 5
assert entries == [
tables.DatabaseEntry(id=1, download_time=datetime(2005, 6, 15, 1)),
tables.DatabaseEntry(id=3, path="/tmp", download_time=datetime(2005, 6, 15, 3)),
tables.DatabaseEntry(id=5, tags=[tag], download_time=datetime(2005, 6, 15, 5)),
tables.DatabaseEntry(id=7, download_time=datetime(2005, 6, 15, 7)),
tables.DatabaseEntry(id=9, path="/tmp", download_time=datetime(2005, 6, 15, 9)),
]
def test_walker_create_downloadtime_exists(session):
download_time = DownloadTime(datetime(2005, 6, 15, 7),
datetime(2005, 6, 15, 9))
entries = walker.create(download_time, session)
assert entries == [
tables.DatabaseEntry(id=7, download_time=datetime(2005, 6, 15, 7)),
tables.DatabaseEntry(id=8,
starred=True,
download_time=datetime(2005, 6, 15, 8)),
tables.DatabaseEntry(id=9,
path='/tmp',
download_time=datetime(2005, 6, 15, 9))
]
def test_walker_create_anded_query(session):
entries = walker.create(Tag('foo') & Starred(), session)
assert len(entries) == 1
tag = tables.Tag('foo')
tag.id = 1
fits_header_entry = tables.FitsHeaderEntry('INSTRUME', 'EIT')
fits_header_entry.id = 1
assert tables.DatabaseEntry(id=10,
starred=True,
tags=[tag],
download_time=datetime(2005, 6, 15, 10),
fits_header_entries=[fits_header_entry
]) in entries
def test_walker_create_tag_negative(session):
entries = walker.create(~Tag("foo"), session)
assert len(entries) == 8
assert entries == [
tables.DatabaseEntry(id=1, download_time=datetime(2005, 6, 15, 1)),
tables.DatabaseEntry(id=2, starred=True, download_time=datetime(2005, 6, 15, 2)),
tables.DatabaseEntry(id=3, path="/tmp", download_time=datetime(2005, 6, 15, 3)),
tables.DatabaseEntry(id=4, starred=True, download_time=datetime(2005, 6, 15, 4)),
tables.DatabaseEntry(id=6, path="/tmp", starred=True, download_time=datetime(2005, 6, 15, 6)),
tables.DatabaseEntry(id=7, download_time=datetime(2005, 6, 15, 7)),
tables.DatabaseEntry(id=8, starred=True, download_time=datetime(2005, 6, 15, 8)),
tables.DatabaseEntry(id=9, path="/tmp", download_time=datetime(2005, 6, 15, 9)),
]
def test_walker_create_time(vso_session):
time = vso.attrs.Time(
datetime(2011, 9, 17, 0, 0, 0), datetime(2011, 9, 20, 0, 0, 0))
entries = walker.create(time, vso_session)
assert len(entries) == 1
assert entries == [
tables.DatabaseEntry(id=2, source=u'RHESSI', provider=u'LSSP',
physobs=u'intensity',
fileid=u'/hessidata/2011/09/19/hsi_20110919_233340',
observation_time_start=datetime(2011, 9, 19, 23, 33, 40),
observation_time_end=datetime(2011, 9, 20, 1, 9, 20),
instrument=u'RHESSI', size=-1.0, wavemin=0.4132806430668068,
wavemax=7.293187818826002e-05)]
def test_walker_create_time(vso_session):
time = vso.attrs.Time(
datetime(2011, 9, 17, 0, 0, 0), datetime(2011, 9, 20, 0, 0, 0))
entries = walker.create(time, vso_session)
assert len(entries) == 1
assert entries == [
tables.DatabaseEntry(id=2, source=u'RHESSI', provider=u'LSSP',
physobs=u'intensity',
fileid=u'/hessidata/2011/09/19/hsi_20110919_233340',
observation_time_start=datetime(2011, 9, 19, 23, 33, 40),
observation_time_end=datetime(2011, 9, 20, 1, 9, 20),
instrument=u'RHESSI', size=-1.0, wavemin=0.4132806579880238,
wavemax=7.293188082141598e-05)]
def test_walker_create_fitsheader(session):
tag = tables.Tag('foo')
tag.id = 1
entries = walker.create(FitsHeaderEntry('INSTRUME', 'EIT'), session)
fits_header_entry = tables.FitsHeaderEntry('INSTRUME', 'EIT')
fits_header_entry.id = 1
assert len(entries) == 1
assert entries == [
tables.DatabaseEntry(id=10,
starred=True,
tags=[tag],
download_time=datetime(2005, 6, 15, 10),
fits_header_entries=[fits_header_entry])
]
def test_walker_create_wave(vso_session):
entries = walker.create(vso.attrs.Wave(100, 180), vso_session)
assert len(entries) == 2
assert entries == [
tables.DatabaseEntry(id=3, source='SDO', provider='JSOC',
physobs='intensity', fileid='aia__lev1:131:1086652833',
observation_time_start=datetime(2011, 6, 8, 23, 59, 57),
observation_time_end=datetime(2011, 6, 8, 23, 59, 58),
instrument='AIA', size=66200.0, wavemin=13.1, wavemax=13.1),
tables.DatabaseEntry(id=4, source='SDO', provider='JSOC',
physobs='intensity', fileid='aia__lev1:171:1086652835',
observation_time_start=datetime(2011, 6, 9, 0, 0),
observation_time_end=datetime(2011, 6, 9, 0, 0, 1),
instrument='AIA', size=66200.0, wavemin=17.1, wavemax=17.1)]
def test_walker_create_starred_false(session):
entries = walker.create(~Starred(), session)
tag = tables.Tag('foo')
tag.id = 1
assert len(entries) == 5
assert entries == [
tables.DatabaseEntry(id=1, download_time=datetime(2005, 6, 15, 1)),
tables.DatabaseEntry(
id=3, path='/tmp', download_time=datetime(2005, 6, 15, 3)),
tables.DatabaseEntry(
id=5, tags=[tag], download_time=datetime(2005, 6, 15, 5)),
tables.DatabaseEntry(
id=7, download_time=datetime(2005, 6, 15, 7)),
tables.DatabaseEntry(
id=9, path='/tmp', download_time=datetime(2005, 6, 15, 9))]
def test_walker_create_fitsheader_inverted(session):
tag = tables.Tag("foo")
tag.id = 1
entries = walker.create(~FitsHeaderEntry("INSTRUME", "EIT"), session)
assert len(entries) == 9
assert entries == [
tables.DatabaseEntry(id=1, download_time=datetime(2005, 6, 15, 1)),
tables.DatabaseEntry(id=2, starred=True, download_time=datetime(2005, 6, 15, 2)),
tables.DatabaseEntry(id=3, path="/tmp", download_time=datetime(2005, 6, 15, 3)),
tables.DatabaseEntry(id=4, starred=True, download_time=datetime(2005, 6, 15, 4)),
tables.DatabaseEntry(id=5, tags=[tag], download_time=datetime(2005, 6, 15, 5)),
tables.DatabaseEntry(id=6, starred=True, path="/tmp", download_time=datetime(2005, 6, 15, 6)),
tables.DatabaseEntry(id=7, download_time=datetime(2005, 6, 15, 7)),
tables.DatabaseEntry(id=8, starred=True, download_time=datetime(2005, 6, 15, 8)),
tables.DatabaseEntry(id=9, path="/tmp", download_time=datetime(2005, 6, 15, 9)),
]
def test_walker_create_path_attr_exists(session):
entries = walker.create(Path('/tmp'), session)
assert len(entries) == 3
assert tables.DatabaseEntry(id=3,
path='/tmp',
download_time=datetime(2005, 6, 15,
3)) in entries
assert tables.DatabaseEntry(id=6,
path='/tmp',
starred=True,
download_time=datetime(2005, 6, 15,
6)) in entries
assert tables.DatabaseEntry(id=9,
path='/tmp',
download_time=datetime(2005, 6, 15,
9)) in entries
def test_walker_create_tag_positive(session):
entries = walker.create(Tag("foo"), session)
tag = tables.Tag("foo")
tag.id = 1
fits_header_entry = tables.FitsHeaderEntry("INSTRUME", "EIT")
fits_header_entry.id = 1
assert len(entries) == 2
assert entries == [
tables.DatabaseEntry(id=5, tags=[tag], download_time=datetime(2005, 6, 15, 5)),
tables.DatabaseEntry(
id=10,
starred=True,
tags=[tag],
download_time=datetime(2005, 6, 15, 10),
fits_header_entries=[fits_header_entry],
),
]
def test_walker_create_vso_instrument(vso_session):
entries = walker.create(vso.attrs.Instrument('RHESSI'), vso_session)
expected = [
tables.DatabaseEntry(id=1, source=u'RHESSI', provider=u'LSSP',
physobs=u'intensity',
fileid=u'/hessidata/2011/09/19/hsi_20110919_233340_002.fits',
observation_time_start=datetime(2011, 9, 19, 23, 33, 40),
observation_time_end=datetime(2011, 9, 20, 1, 9, 20),
instrument='RHESSI', wavemin=0.4132806579880238,
wavemax=7.293188082141598e-05),
tables.DatabaseEntry(id=2, source=u'RHESSI', provider=u'LSSP',
physobs=u'intensity',
fileid=u'/hessidata/2011/09/20/hsi_20110920_010920_001.fits',
observation_time_start=datetime(2011, 9, 20, 1, 9, 20),
observation_time_end=datetime(2011, 9, 20, 2, 27, 40),
instrument='RHESSI', wavemin=0.4132806579880238,
wavemax=7.293188082141598e-05)]
assert len(entries) == len(expected)
assert entries in [expected]
def test_walker_create_complex_query(session):
query = Tag('foo') & Starred() | ~Tag('foo') & ~Starred()
entries = walker.create(query, session)
assert len(entries) == 5
tag = tables.Tag('foo')
tag.id = 1
fits_header_entry = tables.FitsHeaderEntry('INSTRUME', 'EIT')
fits_header_entry.id = 1
assert tables.DatabaseEntry(
id=1, download_time=datetime(2005, 6, 15, 1)) in entries
assert tables.DatabaseEntry(
id=3, path='/tmp', download_time=datetime(2005, 6, 15, 3)) in entries
assert tables.DatabaseEntry(
id=7, download_time=datetime(2005, 6, 15, 7)) in entries
assert tables.DatabaseEntry(
id=9, path='/tmp', download_time=datetime(2005, 6, 15, 9)) in entries
assert tables.DatabaseEntry(
id=10, starred=True, tags=[tag],
download_time=datetime(2005, 6, 15, 10),
fits_header_entries=[fits_header_entry]) in entries
def test_walker_create_complex_query(session):
query = Tag('foo') & Starred() | ~Tag('foo') & ~Starred()
entries = walker.create(query, session)
assert len(entries) == 5
tag = tables.Tag('foo')
tag.id = 1
fits_header_entry = tables.FitsHeaderEntry('INSTRUME', 'EIT')
fits_header_entry.id = 1
assert tables.DatabaseEntry(
id=1, download_time=datetime(2005, 6, 15, 1)) in entries
assert tables.DatabaseEntry(
id=3, path='/tmp', download_time=datetime(2005, 6, 15, 3)) in entries
assert tables.DatabaseEntry(
id=7, download_time=datetime(2005, 6, 15, 7)) in entries
assert tables.DatabaseEntry(
id=9, path='/tmp', download_time=datetime(2005, 6, 15, 9)) in entries
assert tables.DatabaseEntry(
id=10, starred=True, tags=[tag],
download_time=datetime(2005, 6, 15, 10),
fits_header_entries=[fits_header_entry]) in entries
def test_walker_create_starred_true(session):
entries = walker.create(Starred(), session)
tag = tables.Tag("foo")
tag.id = 1
fits_header_entry = tables.FitsHeaderEntry("INSTRUME", "EIT")
fits_header_entry.id = 1
assert len(entries) == 5
assert entries == [
tables.DatabaseEntry(id=2, starred=True, download_time=datetime(2005, 6, 15, 2)),
tables.DatabaseEntry(id=4, starred=True, download_time=datetime(2005, 6, 15, 4)),
tables.DatabaseEntry(id=6, path="/tmp", starred=True, download_time=datetime(2005, 6, 15, 6)),
tables.DatabaseEntry(id=8, starred=True, download_time=datetime(2005, 6, 15, 8)),
tables.DatabaseEntry(
id=10,
starred=True,
tags=[tag],
download_time=datetime(2005, 6, 15, 10),
fits_header_entries=[fits_header_entry],
),
]
def test_walker_create_tag_negative(session):
entries = walker.create(~Tag('foo'), session)
assert len(entries) == 8
assert entries == [
tables.DatabaseEntry(id=1, download_time=datetime(2005, 6, 15, 1)),
tables.DatabaseEntry(
id=2, starred=True, download_time=datetime(2005, 6, 15, 2)),
tables.DatabaseEntry(
id=3, path='/tmp', download_time=datetime(2005, 6, 15, 3)),
tables.DatabaseEntry(
id=4, starred=True, download_time=datetime(2005, 6, 15, 4)),
tables.DatabaseEntry(
id=6, path='/tmp', starred=True,
download_time=datetime(2005, 6, 15, 6)),
tables.DatabaseEntry(
id=7, download_time=datetime(2005, 6, 15, 7)),
tables.DatabaseEntry(
id=8, starred=True, download_time=datetime(2005, 6, 15, 8)),
tables.DatabaseEntry(
id=9, path='/tmp', download_time=datetime(2005, 6, 15, 9))]
def test_walker_create_starred_true(session):
entries = walker.create(Starred(), session)
tag = tables.Tag('foo')
tag.id = 1
fits_header_entry = tables.FitsHeaderEntry('INSTRUME', 'EIT')
fits_header_entry.id = 1
assert len(entries) == 5
assert entries == [
tables.DatabaseEntry(
id=2, starred=True, download_time=datetime(2005, 6, 15, 2)),
tables.DatabaseEntry(
id=4, starred=True, download_time=datetime(2005, 6, 15, 4)),
tables.DatabaseEntry(
id=6, path='/tmp', starred=True,
download_time=datetime(2005, 6, 15, 6)),
tables.DatabaseEntry(
id=8, starred=True, download_time=datetime(2005, 6, 15, 8)),
tables.DatabaseEntry(
id=10, starred=True, tags=[tag],
download_time=datetime(2005, 6, 15, 10),
fits_header_entries=[fits_header_entry])]
def test_walker_create_time(vso_session):
time = vso.attrs.Time(
datetime(2011, 9, 17, 0, 0, 0), datetime(2011, 9, 20, 0, 0, 0))
entries = walker.create(time, vso_session)
assert len(entries) == 1
# TODO: Flaky and the only change the id number.
assert entries in [
[tables.DatabaseEntry(id=1, source=u'RHESSI', provider=u'LSSP',
physobs=u'intensity',
fileid=u'/hessidata/2011/09/19/hsi_20110919_233340',
observation_time_start=datetime(2011, 9, 19, 23, 33, 40),
observation_time_end=datetime(2011, 9, 20, 1, 9, 20),
instrument=u'RHESSI', wavemin=0.4132806579880238,
wavemax=7.293188082141598e-05)],
[tables.DatabaseEntry(id=2, source=u'RHESSI', provider=u'LSSP',
physobs=u'intensity',
fileid=u'/hessidata/2011/09/19/hsi_20110919_233340',
observation_time_start=datetime(2011, 9, 19, 23, 33, 40),
observation_time_end=datetime(2011, 9, 20, 1, 9, 20),
instrument=u'RHESSI', wavemin=0.4132806579880238,
wavemax=7.293188082141598e-05)]]
def test_walker_create_path_inverted(session):
tag = tables.Tag("foo")
tag.id = 1
fits_header_entry = tables.FitsHeaderEntry("INSTRUME", "EIT")
fits_header_entry.id = 1
entries = walker.create(~Path("/tmp"), session)
assert len(entries) == 7
assert entries == [
tables.DatabaseEntry(id=1, download_time=datetime(2005, 6, 15, 1)),
tables.DatabaseEntry(id=2, starred=True, download_time=datetime(2005, 6, 15, 2)),
tables.DatabaseEntry(id=4, starred=True, download_time=datetime(2005, 6, 15, 4)),
tables.DatabaseEntry(id=5, tags=[tag], download_time=datetime(2005, 6, 15, 5)),
tables.DatabaseEntry(id=7, download_time=datetime(2005, 6, 15, 7)),
tables.DatabaseEntry(id=8, starred=True, download_time=datetime(2005, 6, 15, 8)),
tables.DatabaseEntry(
id=10,
starred=True,
tags=[tag],
download_time=datetime(2005, 6, 15, 10),
fits_header_entries=[fits_header_entry],
),
]
def test_walker_create_ored_query(session):
entries = walker.create(Tag('foo') | Starred(), session)
assert len(entries) == 6
tag = tables.Tag('foo')
tag.id = 1
fits_header_entry = tables.FitsHeaderEntry('INSTRUME', 'EIT')
fits_header_entry.id = 1
assert tables.DatabaseEntry(
id=2, starred=True, download_time=datetime(2005, 6, 15, 2)) in entries
assert tables.DatabaseEntry(
id=4, starred=True, download_time=datetime(2005, 6, 15, 4)) in entries
assert tables.DatabaseEntry(
id=5, tags=[tag], download_time=datetime(2005, 6, 15, 5)) in entries
assert tables.DatabaseEntry(
id=6, path='/tmp', starred=True,
download_time=datetime(2005, 6, 15, 6)) in entries
assert tables.DatabaseEntry(
id=8, starred=True, download_time=datetime(2005, 6, 15, 8)) in entries
assert tables.DatabaseEntry(
id=10, starred=True, tags=[tag],
download_time=datetime(2005, 6, 15, 10),
fits_header_entries=[fits_header_entry]) in entries
def test_walker_create_path_inverted(session):
tag = tables.Tag('foo')
tag.id = 1
fits_header_entry = tables.FitsHeaderEntry('INSTRUME', 'EIT')
fits_header_entry.id = 1
entries = walker.create(~Path('/tmp'), session)
assert len(entries) == 7
assert entries == [
tables.DatabaseEntry(
id=1, download_time=datetime(2005, 6, 15, 1)),
tables.DatabaseEntry(
id=2, starred=True, download_time=datetime(2005, 6, 15, 2)),
tables.DatabaseEntry(
id=4, starred=True, download_time=datetime(2005, 6, 15, 4)),
tables.DatabaseEntry(
id=5, tags=[tag], download_time=datetime(2005, 6, 15, 5)),
tables.DatabaseEntry(id=7, download_time=datetime(2005, 6, 15, 7)),
tables.DatabaseEntry(
id=8, starred=True, download_time=datetime(2005, 6, 15, 8)),
tables.DatabaseEntry(
id=10, starred=True, tags=[tag],
download_time=datetime(2005, 6, 15, 10),
fits_header_entries=[fits_header_entry])]
def test_walker_create_fitsheader_inverted(session):
tag = tables.Tag('foo')
tag.id = 1
entries = walker.create(~FitsHeaderEntry('INSTRUME', 'EIT'), session)
assert len(entries) == 9
assert entries == [
tables.DatabaseEntry(
id=1, download_time=datetime(2005, 6, 15, 1)),
tables.DatabaseEntry(
id=2, starred=True, download_time=datetime(2005, 6, 15, 2)),
tables.DatabaseEntry(
id=3, path='/tmp', download_time=datetime(2005, 6, 15, 3)),
tables.DatabaseEntry(
id=4, starred=True, download_time=datetime(2005, 6, 15, 4)),
tables.DatabaseEntry(
id=5, tags=[tag], download_time=datetime(2005, 6, 15, 5)),
tables.DatabaseEntry(
id=6, starred=True, path='/tmp',
download_time=datetime(2005, 6, 15, 6)),
tables.DatabaseEntry(id=7, download_time=datetime(2005, 6, 15, 7)),
tables.DatabaseEntry(
id=8, starred=True, download_time=datetime(2005, 6, 15, 8)),
tables.DatabaseEntry(
id=9, path='/tmp', download_time=datetime(2005, 6, 15, 9))]
def test_walker_create_downloadtime_notfound(session):
download_time = DownloadTime(
datetime(2005, 6, 15, 11), datetime(2005, 6, 15, 11))
entries = walker.create(download_time, session)
assert entries == []
def test_walker_create_path_attr_notfound(session):
assert walker.create(Path('doesnotexist'), session) == []
def test_walker_create_dummy(session):
with pytest.raises(TypeError):
walker.create(DummyAttr(), session)
def query(self, *query, **kwargs):
"""
query(*query[, sortby])
Send the given query to the database and return a list of
database entries that satisfy all of the given attributes.
Apart from the attributes supported by the VSO interface, the following
attributes are supported:
- :class:`sunpy.database.attrs.Starred`
- :class:`sunpy.database.attrs.Tag`
- :class:`sunpy.database.attrs.Path`
- :class:`sunpy.database.attrs.DownloadTime`
- :class:`sunpy.database.attrs.FitsHeaderEntry`
An important difference to the VSO attributes is that these attributes
may also be used in negated form using the tilde ~ operator.
Parameters
----------
query : list
A variable number of attributes that are chained together via the
boolean AND operator. The | operator may be used between attributes
to express the boolean OR operator.
sortby : str, optional
The column by which to sort the returned entries. The default is to
sort by the start of the observation. See the attributes of
:class:`sunpy.database.tables.DatabaseEntry` for a list of all
possible values.
Raises
------
TypeError
if no attribute is given or if some keyword argument other than
'sortby' is given.
Examples
--------
The query in the following example searches for all non-starred entries
with the tag 'foo' or 'bar' (or both).
>>> database.query(~attrs.Starred(), attrs.Tag('foo') | attrs.Tag('bar')) # doctest: +SKIP
"""
if not query:
raise TypeError('at least one attribute required')
sortby = kwargs.pop('sortby', 'observation_time_start')
if kwargs:
k, v = kwargs.popitem()
raise TypeError('unexpected keyword argument {0!r}'.format(k))
db_entries = walker.create(and_(*query), self.session)
# If any of the DatabaseEntry-s lack the sorting attribute, the
# sorting key should fall back to 'id', orherwise it fails with
# TypeError on py3
if any([getattr(entry, sortby) is None for entry in db_entries]):
sortby = 'id'
return sorted(db_entries, key=operator.attrgetter(sortby))
def test_walker_create_dummy(session):
with pytest.raises(TypeError):
walker.create(DummyAttr(), session)
def test_walker_create_wave(vso_session):
entries = walker.create(vso.attrs.Wave(0 * u.AA, 10 * u.AA), vso_session)
assert len(entries) == 2
entries = walker.create(vso.attrs.Wave(5 * u.AA, 10 * u.AA), vso_session)
assert len(entries) == 0
def test_walker_create_wave(vso_session):
entries = walker.create(vso.attrs.Wave(0, 10), vso_session)
assert len(entries) == 2
entries = walker.create(vso.attrs.Wave(5, 10), vso_session)
assert len(entries) == 0
def test_walker_create_downloadtime_notfound(session):
download_time = DownloadTime(datetime(2005, 6, 15, 11),
datetime(2005, 6, 15, 11))
entries = walker.create(download_time, session)
assert entries == []
def test_walker_create_wave(vso_session):
entries = walker.create(a.Wavelength(0 * u.AA, 10 * u.AA), vso_session)
assert len(entries) == 2
entries = walker.create(a.Wavelength(5 * u.AA, 10 * u.AA), vso_session)
assert len(entries) == 0
def test_walker_create_path_attr_notfound(session):
assert walker.create(Path('doesnotexist'), session) == []
