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def Get_rhos(dur, **kwargs):
'''
Returns the value of the stellar density for a given transit
duration :py:obj:`dur`, given
the :py:class:`everest.pysyzygy` transit :py:obj:`kwargs`.
'''
if ps is None:
raise Exception("Unable to import `pysyzygy`.")
assert dur >= 0.01 and dur <... |
def Transit(time, t0=0., dur=0.1, per=3.56789, depth=0.001, **kwargs):
'''
A `Mandel-Agol <http://adsabs.harvard.edu/abs/2002ApJ...580L.171M>`_
transit model, but with the depth and the duration as primary
input variables.
:param numpy.ndarray time: The time array
:param float t0: The time of f... |
def intervals(self, startdate, enddate, parseinterval=None):
'''Given a ``startdate`` and an ``enddate`` dates, evaluate the
date intervals from which data is not available. It return a list
of two-dimensional tuples containing start and end date for the
interval. The list could cont... |
def front(self, *fields):
'''Return the front pair of the structure'''
v, f = tuple(self.irange(0, 0, fields=fields))
if v:
return (v[0], dict(((field, f[field][0]) for field in f))) |
def istats(self, start=0, end=-1, fields=None):
'''Perform a multivariate statistic calculation of this
:class:`ColumnTS` from *start* to *end*.
:param start: Optional index (rank) where to start the analysis.
:param end: Optional index (rank) where to end the analysis.
:param fields: Optional subset of ... |
def stats(self, start, end, fields=None):
'''Perform a multivariate statistic calculation of this
:class:`ColumnTS` from a *start* date/datetime to an
*end* date/datetime.
:param start: Start date for analysis.
:param end: End date for analysis.
:param fields: Optional subset of :meth:`fields` to perfo... |
def imulti_stats(self, start=0, end=-1, series=None, fields=None,
stats=None):
'''Perform cross multivariate statistics calculation of
this :class:`ColumnTS` and other optional *series* from *start*
to *end*.
:parameter start: the start rank.
:parameter start: the end rank
:paramet... |
def merge(self, *series, **kwargs):
'''Merge this :class:`ColumnTS` with several other *series*.
:parameters series: a list of tuples where the nth element is a tuple
of the form::
(wight_n, ts_n1, ts_n2, ..., ts_nMn)
The result will be calculated using the formula::
ts = weight_1*ts_1... |
def merged_series(cls, *series, **kwargs):
'''Merge ``series`` and return the results without storing data
in the backend server.'''
router, backend = cls.check_router(None, *series)
if backend:
target = router.register(cls(), backend)
router.session().add(target)
... |
def rank(self, score):
'''Return the 0-based index (rank) of ``score``. If the score is not
available it returns a negative integer which absolute score is the
left most closest index with score less than *score*.'''
node = self.__head
rank = 0
for i in range(self.__level-1, -1, -1):
... |
def make_object(self, state=None, backend=None):
'''Create a new instance of :attr:`model` from a *state* tuple.'''
model = self.model
obj = model.__new__(model)
self.load_state(obj, state, backend)
return obj |
def is_valid(self, instance):
'''Perform validation for *instance* and stores serialized data,
indexes and errors into local cache.
Return ``True`` if the instance is ready to be saved to database.'''
dbdata = instance.dbdata
data = dbdata['cleaned_data'] = {}
errors = dbdata['erro... |
def backend_fields(self, fields):
'''Return a two elements tuple containing a list
of fields names and a list of field attribute names.'''
dfields = self.dfields
processed = set()
names = []
atts = []
pkname = self.pkname()
for name in fields:
... |
def as_dict(self):
'''Model metadata in a dictionary'''
pk = self.pk
id_type = 3
if pk.type == 'auto':
id_type = 1
return {'id_name': pk.name,
'id_type': id_type,
'sorted': bool(self.ordering),
'autoincr': self.... |
def get_state(self, **kwargs):
'''Return the current :class:`ModelState` for this :class:`Model`.
If ``kwargs`` parameters are passed a new :class:`ModelState` is created,
otherwise it returns the cached value.'''
dbdata = self.dbdata
if 'state' not in dbdata or kwargs:
dbdata[... |
def uuid(self):
'''Universally unique identifier for an instance of a :class:`Model`.
'''
pk = self.pkvalue()
if not pk:
raise self.DoesNotExist(
'Object not saved. Cannot obtain universally unique id')
return self.get_uuid(pk) |
def backend(self, client=None):
'''The :class:`stdnet.BackendDatServer` for this instance.
It can be ``None``.
'''
session = self.session
if session:
return session.model(self).backend |
def read_backend(self, client=None):
'''The read :class:`stdnet.BackendDatServer` for this instance.
It can be ``None``.
'''
session = self.session
if session:
return session.model(self).read_backend |
def create_model(name, *attributes, **params):
'''Create a :class:`Model` class for objects requiring
and interface similar to :class:`StdModel`. We refers to this type
of models as :ref:`local models <local-models>` since instances of such
models are not persistent on a :class:`stdnet.BackendDataServer`.
:param n... |
def loadedfields(self):
'''Generator of fields loaded from database'''
if self._loadedfields is None:
for field in self._meta.scalarfields:
yield field
else:
fields = self._meta.dfields
processed = set()
for name in self._loadedfiel... |
def fieldvalue_pairs(self, exclude_cache=False):
'''Generator of fields,values pairs. Fields correspond to
the ones which have been loaded (usually all of them) or
not loaded but modified.
Check the :ref:`load_only <performance-loadonly>` query function for more
details.
If *exclude_cache* evaluates to ``True`... |
def clear_cache_fields(self):
'''Set cache fields to ``None``. Check :attr:`Field.as_cache`
for information regarding fields which are considered cache.'''
for field in self._meta.scalarfields:
if field.as_cache:
setattr(self, field.name, None) |
def get_attr_value(self, name):
'''Retrieve the ``value`` for the attribute ``name``. The ``name``
can be nested following the :ref:`double underscore <tutorial-underscore>`
notation, for example ``group__name``. If the attribute is not available it
raises :class:`AttributeError`.'''
if name in self._me... |
def clone(self, **data):
'''Utility method for cloning the instance as a new object.
:parameter data: additional which override field data.
:rtype: a new instance of this class.
'''
meta = self._meta
session = self.session
pkname = meta.pkname()
pkvalue = data.pop(pkname, None)
... |
def todict(self, exclude_cache=False):
'''Return a dictionary of serialised scalar field for pickling.
If the *exclude_cache* flag is ``True``, fields with :attr:`Field.as_cache`
attribute set to ``True`` will be excluded.'''
odict = {}
for field, value in self.fieldvalue_pairs(exclude_cache=exc... |
def load_fields(self, *fields):
'''Load extra fields to this :class:`StdModel`.'''
if self._loadedfields is not None:
if self.session is None:
raise SessionNotAvailable('No session available')
meta = self._meta
kwargs = {meta.pkname(): self.pkvalue()}
... |
def load_related_model(self, name, load_only=None, dont_load=None):
'''Load a the :class:`ForeignKey` field ``name`` if this is part of the
fields of this model and if the related object is not already loaded.
It is used by the lazy loading mechanism of :ref:`one-to-many <one-to-many>`
relationships.
:paramete... |
def from_base64_data(cls, **kwargs):
'''Load a :class:`StdModel` from possibly base64encoded data.
This method is used to load models from data obtained from the :meth:`tojson`
method.'''
o = cls()
meta = cls._meta
pkname = meta.pkname()
for name, value in iteritems(kwargs):
... |
def DetrendFITS(fitsfile, raw=False, season=None, clobber=False, **kwargs):
"""
De-trend a K2 FITS file using :py:class:`everest.detrender.rPLD`.
:param str fitsfile: The full path to the FITS file
:param ndarray aperture: A 2D integer array corresponding to the \
desired photometric apertur... |
def GetData(fitsfile, EPIC, campaign, clobber=False,
saturation_tolerance=-0.1,
bad_bits=[1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 16, 17],
get_hires=False, get_nearby=False,
aperture=None, **kwargs):
'''
Returns a :py:obj:`DataContainer` instance with the
r... |
def title(self):
'''
Returns the axis instance where the title will be printed
'''
return self.title_left(on=False), self.title_center(on=False), \
self.title_right(on=False) |
def footer(self):
'''
Returns the axis instance where the footer will be printed
'''
return self.footer_left(on=False), self.footer_center(on=False), \
self.footer_right(on=False) |
def top_right(self):
'''
Returns the axis instance at the top right of the page,
where the postage stamp and aperture is displayed
'''
res = self.body_top_right[self.tcount]()
self.tcount += 1
return res |
def left(self):
'''
Returns the current axis instance on the left side of
the page where each successive light curve is displayed
'''
res = self.body_left[self.lcount]()
self.lcount += 1
return res |
def right(self):
'''
Returns the current axis instance on the right side of the
page, where cross-validation information is displayed
'''
res = self.body_right[self.rcount]()
self.rcount += 1
return res |
def body(self):
'''
Returns the axis instance where the light curves will be shown
'''
res = self._body[self.bcount]()
self.bcount += 1
return res |
def hashmodel(model, library=None):
'''Calculate the Hash id of metaclass ``meta``'''
library = library or 'python-stdnet'
meta = model._meta
sha = hashlib.sha1(to_bytes('{0}({1})'.format(library, meta)))
hash = sha.hexdigest()[:8]
meta.hash = hash
if hash in _model_dict:
rai... |
def bind(self, callback, sender=None):
'''Bind a ``callback`` for a given ``sender``.'''
key = (_make_id(callback), _make_id(sender))
self.callbacks.append((key, callback)) |
def fire(self, sender=None, **params):
'''Fire callbacks from a ``sender``.'''
keys = (_make_id(None), _make_id(sender))
results = []
for (_, key), callback in self.callbacks:
if key in keys:
results.append(callback(self, sender, **params))
retu... |
def execute_command(self, cmnd, *args, **options):
"Execute a command and return a parsed response"
args, options = self.preprocess_command(cmnd, *args, **options)
return self.client.execute_command(cmnd, *args, **options) |
def _range10_90(x):
'''
Returns the 10th-90th percentile range of array :py:obj:`x`.
'''
x = np.delete(x, np.where(np.isnan(x)))
i = np.argsort(x)
a = int(0.1 * len(x))
b = int(0.9 * len(x))
return x[i][b] - x[i][a] |
def Campaign(EPIC, **kwargs):
'''
Returns the campaign number(s) for a given EPIC target. If target
is not found, returns :py:obj:`None`.
:param int EPIC: The EPIC number of the target.
'''
campaigns = []
for campaign, stars in GetK2Stars().items():
if EPIC in [s[0] for s in stars... |
def GetK2Stars(clobber=False):
'''
Download and return a :py:obj:`dict` of all *K2* stars organized by
campaign. Saves each campaign to a `.stars` file in the
`everest/missions/k2/tables` directory.
:param bool clobber: If :py:obj:`True`, download and overwrite \
existing files. Default ... |
def GetK2Campaign(campaign, clobber=False, split=False,
epics_only=False, cadence='lc'):
'''
Return all stars in a given *K2* campaign.
:param campaign: The *K2* campaign number. If this is an :py:class:`int`, \
returns all targets in that campaign. If a :py:class:`float` in \
... |
def Channel(EPIC, campaign=None):
'''
Returns the channel number for a given EPIC target.
'''
if campaign is None:
campaign = Campaign(EPIC)
if hasattr(campaign, '__len__'):
raise AttributeError(
"Please choose a campaign/season for this target: %s." % campaign)
try... |
def Module(EPIC, campaign=None):
'''
Returns the module number for a given EPIC target.
'''
channel = Channel(EPIC, campaign=campaign)
nums = {2: 1, 3: 5, 4: 9, 6: 13, 7: 17, 8: 21, 9: 25,
10: 29, 11: 33, 12: 37, 13: 41, 14: 45, 15: 49,
16: 53, 17: 57, 18: 61, 19: 65, 20: 6... |
def Channels(module):
'''
Returns the channels contained in the given K2 module.
'''
nums = {2: 1, 3: 5, 4: 9, 6: 13, 7: 17, 8: 21, 9: 25,
10: 29, 11: 33, 12: 37, 13: 41, 14: 45, 15: 49,
16: 53, 17: 57, 18: 61, 19: 65, 20: 69, 22: 73,
23: 77, 24: 81}
if module ... |
def KepMag(EPIC, campaign=None):
'''
Returns the *Kepler* magnitude for a given EPIC target.
'''
if campaign is None:
campaign = Campaign(EPIC)
if hasattr(campaign, '__len__'):
raise AttributeError(
"Please choose a campaign/season for this target: %s." % campaign)
... |
def RemoveBackground(EPIC, campaign=None):
'''
Returns :py:obj:`True` or :py:obj:`False`, indicating whether or not
to remove the background flux for the target. If ``campaign < 3``,
returns :py:obj:`True`, otherwise returns :py:obj:`False`.
'''
if campaign is None:
campaign = Campaign... |
def GetNeighboringChannels(channel):
'''
Returns all channels on the same module as :py:obj:`channel`.
'''
x = divmod(channel - 1, 4)[1]
return channel + np.array(range(-x, -x + 4), dtype=int) |
def MASTRADec(ra, dec, darcsec, stars_only=False):
'''
Detector location retrieval based upon RA and Dec.
Adapted from `PyKE <http://keplergo.arc.nasa.gov/PyKE.shtml>`_.
'''
# coordinate limits
darcsec /= 3600.0
ra1 = ra - darcsec / np.cos(dec * np.pi / 180)
ra2 = ra + darcsec / np.cos... |
def sex2dec(ra, dec):
'''
Convert sexadecimal hours to decimal degrees. Adapted from
`PyKE <http://keplergo.arc.nasa.gov/PyKE.shtml>`_.
:param float ra: The right ascension
:param float dec: The declination
:returns: The same values, but in decimal degrees
'''
ra = re.sub('\s+', '|',... |
def GetSources(ID, darcsec=None, stars_only=False):
'''
Grabs the EPIC coordinates from the TPF and searches MAST
for other EPIC targets within the same aperture.
:param int ID: The 9-digit :py:obj:`EPIC` number of the target
:param float darcsec: The search radius in arcseconds. \
Defau... |
def GetHiResImage(ID):
'''
Queries the Palomar Observatory Sky Survey II catalog to
obtain a higher resolution optical image of the star with EPIC number
:py:obj:`ID`.
'''
# Get the TPF info
client = kplr.API()
star = client.k2_star(ID)
k2ra = star.k2_ra
k2dec = star.k2_dec
... |
def SaturationFlux(EPIC, campaign=None, **kwargs):
'''
Returns the well depth for the target. If any of the target's pixels
have flux larger than this value, they are likely to be saturated and
cause charge bleeding. The well depths were obtained from Table 13
of the Kepler instrument handbook. We a... |
def GetChunk(time, breakpoints, b, mask=[]):
'''
Returns the indices corresponding to a given light curve chunk.
:param int b: The index of the chunk to return
'''
M = np.delete(np.arange(len(time)), mask, axis=0)
if b > 0:
res = M[(M > breakpoints[b - 1]) & (M <= breakpoints[b])]
... |
def GetStars(campaign, module, model='nPLD', **kwargs):
'''
Returns de-trended light curves for all stars on a given module in
a given campaign.
'''
# Get the channel numbers
channels = Channels(module)
assert channels is not None, "No channels available on this module."
# Get the EPI... |
def SysRem(time, flux, err, ncbv=5, niter=50, sv_win=999,
sv_order=3, **kwargs):
'''
Applies :py:obj:`SysRem` to a given set of light curves.
:param array_like time: The time array for all of the light curves
:param array_like flux: A 2D array of the fluxes for each of the light \
... |
def GetCBVs(campaign, model='nPLD', clobber=False, **kwargs):
'''
Computes the CBVs for a given campaign.
:param int campaign: The campaign number
:param str model: The name of the :py:obj:`everest` model. Default `nPLD`
:param bool clobber: Overwrite existing files? Default `False`
'''
#... |
def read_lua_file(dotted_module, path=None, context=None):
'''Load lua script from the stdnet/lib/lua directory'''
path = path or DEFAULT_LUA_PATH
bits = dotted_module.split('.')
bits[-1] += '.lua'
name = os.path.join(path, *bits)
with open(name) as f:
data = f.read()
if cont... |
def parse_info(response):
'''Parse the response of Redis's INFO command into a Python dict.
In doing so, convert byte data into unicode.'''
info = {}
response = response.decode('utf-8')
def get_value(value):
if ',' and '=' not in value:
return value
sub_dict = {}
... |
def zdiffstore(self, dest, keys, withscores=False):
'''Compute the difference of multiple sorted.
The difference of sets specified by ``keys`` into a new sorted set
in ``dest``.
'''
keys = (dest,) + tuple(keys)
wscores = 'withscores' if withscores else ''
... |
def zpopbyrank(self, name, start, stop=None, withscores=False, desc=False):
'''Pop a range by rank.
'''
stop = stop if stop is not None else start
return self.execute_script('zpop', (name,), 'rank', start,
stop, int(desc), int(withscores),
... |
def delete(self, instance):
'''Delete an instance'''
flushdb(self.client) if flushdb else self.client.flushdb() |
def lnprior(x):
"""Return the log prior given parameter vector `x`."""
per, t0, b = x
if b < -1 or b > 1:
return -np.inf
elif per < 7 or per > 10:
return -np.inf
elif t0 < 1978 or t0 > 1979:
return -np.inf
else:
return 0. |
def lnlike(x, star):
"""Return the log likelihood given parameter vector `x`."""
ll = lnprior(x)
if np.isinf(ll):
return ll, (np.nan, np.nan)
per, t0, b = x
model = TransitModel('b', per=per, t0=t0, b=b, rhos=10.)(star.time)
like, d, vard = star.lnlike(model, full_output=True)
ll += ... |
def check_user(self, username, email):
'''username and email (if provided) must be unique.'''
users = self.router.user
avail = yield users.filter(username=username).count()
if avail:
raise FieldError('Username %s not available' % username)
if email:
avail ... |
def permitted_query(self, query, group, operations):
'''Change the ``query`` so that only instances for which
``group`` has roles with permission on ``operations`` are returned.'''
session = query.session
models = session.router
user = group.user
if user.is_superuser: # super-u... |
def create_role(self, name):
'''Create a new :class:`Role` owned by this :class:`Subject`'''
models = self.session.router
return models.role.new(name=name, owner=self) |
def assign(self, role):
'''Assign :class:`Role` ``role`` to this :class:`Subject`. If this
:class:`Subject` is the :attr:`Role.owner`, this method does nothing.'''
if role.owner_id != self.id:
return self.roles.add(role) |
def has_permissions(self, object, group, operations):
'''Check if this :class:`Subject` has permissions for ``operations``
on an ``object``. It returns the number of valid permissions.'''
if self.is_superuser:
return 1
else:
models = self.session.router
# vali... |
def add_permission(self, resource, operation):
'''Add a new :class:`Permission` for ``resource`` to perform an
``operation``. The resource can be either an object or a model.'''
if isclass(resource):
model_type = resource
pk = ''
else:
model_type = resource.__... |
def init_app(self, app, session=None, parameters=None):
"""Initializes snow extension
Set config default and find out which client type to use
:param app: App passed from constructor or directly to init_app (factory)
:param session: requests-compatible session to pass along to init_app... |
def connection(self):
"""Snow connection instance, stores a `pysnow.Client` instance and `pysnow.Resource` instances
Creates a new :class:`pysnow.Client` object if it doesn't exist in the app slice of the context stack
:returns: :class:`pysnow.Client` object
"""
ctx = stack.to... |
def usage():
"""Print out a usage message"""
global options
l = len(options['long'])
options['shortlist'] = [s for s in options['short'] if s is not ":"]
print("python -m behave2cucumber [-h] [-d level|--debug=level]")
for i in range(l):
print(" -{0}|--{1:20} {2}".format(options['sh... |
def main(argv):
"""Main"""
global options
opts = None
try:
opts, args = getopt.getopt(argv, options['short'], options['long'])
except getopt.GetoptError:
usage()
exit(2)
for opt, arg in opts:
if opt in ("-h", "--help"):
usage()
exit()
... |
def direction(theta, phi):
'''Return the direction vector of a cylinder defined
by the spherical coordinates theta and phi.
'''
return np.array([np.cos(phi) * np.sin(theta), np.sin(phi) * np.sin(theta),
np.cos(theta)]) |
def projection_matrix(w):
'''Return the projection matrix of a direction w.'''
return np.identity(3) - np.dot(np.reshape(w, (3,1)), np.reshape(w, (1, 3))) |
def skew_matrix(w):
'''Return the skew matrix of a direction w.'''
return np.array([[0, -w[2], w[1]],
[w[2], 0, -w[0]],
[-w[1], w[0], 0]]) |
def calc_A(Ys):
'''Return the matrix A from a list of Y vectors.'''
return sum(np.dot(np.reshape(Y, (3,1)), np.reshape(Y, (1, 3)))
for Y in Ys) |
def calc_A_hat(A, S):
'''Return the A_hat matrix of A given the skew matrix S'''
return np.dot(S, np.dot(A, np.transpose(S))) |
def preprocess_data(Xs_raw):
'''Translate the center of mass (COM) of the data to the origin.
Return the prossed data and the shift of the COM'''
n = len(Xs_raw)
Xs_raw_mean = sum(X for X in Xs_raw) / n
return [X - Xs_raw_mean for X in Xs_raw], Xs_raw_mean |
def G(w, Xs):
'''Calculate the G function given a cylinder direction w and a
list of data points Xs to be fitted.'''
n = len(Xs)
P = projection_matrix(w)
Ys = [np.dot(P, X) for X in Xs]
A = calc_A(Ys)
A_hat = calc_A_hat(A, skew_matrix(w))
u = sum(np.dot(Y, Y) for Y in Ys) / n
v... |
def C(w, Xs):
'''Calculate the cylinder center given the cylinder direction and
a list of data points.
'''
n = len(Xs)
P = projection_matrix(w)
Ys = [np.dot(P, X) for X in Xs]
A = calc_A(Ys)
A_hat = calc_A_hat(A, skew_matrix(w))
return np.dot(A_hat, sum(np.dot(Y, Y) * Y for Y in Ys... |
def r(w, Xs):
'''Calculate the radius given the cylinder direction and a list
of data points.
'''
n = len(Xs)
P = projection_matrix(w)
c = C(w, Xs)
return np.sqrt(sum(np.dot(c - X, np.dot(P, c - X)) for X in Xs) / n) |
def fit(data, guess_angles=None):
'''Fit a list of data points to a cylinder surface. The algorithm implemented
here is from David Eberly's paper "Fitting 3D Data with a Cylinder" from
https://www.geometrictools.com/Documentation/CylinderFitting.pdf
Arguments:
data - A list of 3D data points t... |
def connect_producer(self, bootstrap_servers='127.0.0.1:9092', client_id='Robot', **kwargs):
"""A Kafka client that publishes records to the Kafka cluster.
Keyword Arguments:
- ``bootstrap_servers``: 'host[:port]' string (or list of 'host[:port]'
strings) that the producer should ... |
def send(self, topic, value=None, timeout=60, key=None, partition=None, timestamp_ms=None):
"""Publish a message to a topic.
- ``topic`` (str): topic where the message will be published
- ``value``: message value. Must be type bytes, or be serializable to bytes via configured value_serializer.
... |
def connect_consumer(
self,
bootstrap_servers='127.0.0.1:9092',
client_id='Robot',
group_id=None,
auto_offset_reset='latest',
enable_auto_commit=True,
**kwargs
):
"""Connect kafka consumer.
Keyword Arguments:
... |
def assign_to_topic_partition(self, topic_partition=None):
"""Assign a list of TopicPartitions to this consumer.
- ``partitions`` (list of `TopicPartition`): Assignment for this instance.
"""
if isinstance(topic_partition, TopicPartition):
topic_partition = [topic_p... |
def subscribe_topic(self, topics=[], pattern=None):
"""Subscribe to a list of topics, or a topic regex pattern.
- ``topics`` (list): List of topics for subscription.
- ``pattern`` (str): Pattern to match available topics. You must provide either topics or pattern,
but not both... |
def get_position(self, topic_partition=None):
"""Return offset of the next record that will be fetched.
- ``topic_partition`` (TopicPartition): Partition to check
"""
if isinstance(topic_partition, TopicPartition):
return self.consumer.position(topic_partition)
... |
def seek(self, offset, topic_partition=None):
"""Manually specify the fetch offset for a TopicPartition.
- ``offset``: Message offset in partition
- ``topic_partition`` (`TopicPartition`): Partition for seek operation
"""
if isinstance(topic_partition, TopicPartition):
... |
def seek_to_beginning(self, topic_partition=None):
"""Seek to the oldest available offset for partitions.
- ``topic_partition``: Optionally provide specific TopicPartitions,
otherwise default to all assigned partitions.
"""
if isinstance(topic_partition, TopicPartitio... |
def seek_to_end(self, topic_partition=None):
"""Seek to the most recent available offset for partitions.
- ``topic_partition``: Optionally provide specific `TopicPartitions`,
otherwise default to all assigned partitions.
"""
if isinstance(topic_partition, TopicPartiti... |
def get_number_of_messages_in_topics(self, topics):
"""Retrun number of messages in topics.
- ``topics`` (list): list of topics.
"""
if not isinstance(topics, list):
topics = [topics]
number_of_messages = 0
for t in topics:
part = self.g... |
def get_number_of_messages_in_topicpartition(self, topic_partition=None):
"""Return number of messages in TopicPartition.
- ``topic_partition`` (list of TopicPartition)
"""
if isinstance(topic_partition, TopicPartition):
topic_partition = [topic_partition]
... |
def poll(self, timeout_ms=0, max_records=None):
"""Fetch data from assigned topics / partitions.
- ``max_records`` (int): maximum number of records to poll. Default: Inherit value from max_poll_records.
- ``timeout_ms`` (int): Milliseconds spent waiting in poll if data is not available ... |
def get(self, request, key):
"""Validate an email with the given key"""
try:
email_val = EmailAddressValidation.objects.get(validation_key=key)
except EmailAddressValidation.DoesNotExist:
messages.error(request, _('The email address you are trying to '
... |
def delete(self, request, key):
"""Remove an email address, validated or not."""
request.DELETE = http.QueryDict(request.body)
email_addr = request.DELETE.get('email')
user_id = request.DELETE.get('user')
if not email_addr:
return http.HttpResponseBadRequest()
... |
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