# http://pyrocko.org - GPLv3
#
# The Pyrocko Developers, 21st Century
# ---|P------/S----------~Lg----------
import logging
import weakref
from pyrocko import squirrel as psq, trace
from pyrocko import pile as classic_pile
logger = logging.getLogger('psq.pile')
def trace_callback_to_nut_callback(trace_callback):
if trace_callback is None:
return None
def nut_callback(nut):
return trace_callback(nut.dummy_trace)
return nut_callback
class CodesDummyTrace(object):
def __init__(self, codes):
self.network, self.station, self.location, self.channel \
= self.nslc_id \
= codes[0:4]
def trace_callback_to_codes_callback(trace_callback):
if trace_callback is None:
return None
def codes_callback(codes):
return trace_callback(CodesDummyTrace(codes))
return codes_callback
[docs]class Pile(object):
'''
:py:class:`pyrocko.pile.Pile` surrogate: waveform lookup, loading and
caching.
This class emulates most of the older :py:class:`pyrocko.pile.Pile` methods
by using calls to a :py:class:`pyrocko.squirrel.base.Squirrel` instance
behind the scenes.
This interface can be used as a drop-in replacement for piles which are
used in existing scripts and programs for efficient waveform data access.
The Squirrel-based pile scales better for large datasets. Newer scripts
should use Squirrel's native methods to avoid the emulation overhead.
.. note::
Many methods in the original pile implementation lack documentation, as
do here. Read the source, Luke!
'''
def __init__(self, squirrel=None):
if squirrel is None:
squirrel = psq.Squirrel()
self._squirrel = squirrel
self._listeners = []
self._squirrel.get_database().add_listener(
self._notify_squirrel_to_pile)
def _notify_squirrel_to_pile(self, event, *args):
self.notify_listeners(event)
def add_listener(self, obj):
self._listeners.append(weakref.ref(obj))
def notify_listeners(self, what):
for ref in self._listeners:
obj = ref()
if obj:
obj.pile_changed(what)
def get_tmin(self):
return self.tmin
def get_tmax(self):
return self.tmax
def get_deltatmin(self):
return self._squirrel.get_deltat_span('waveform')[0]
def get_deltatmax(self):
return self._squirrel.get_deltat_span('waveform')[1]
@property
def deltatmin(self):
return self.get_deltatmin()
@property
def deltatmax(self):
return self.get_deltatmax()
@property
def tmin(self):
return self._squirrel.get_time_span('waveform')[0]
@property
def tmax(self):
return self._squirrel.get_time_span('waveform')[1]
@property
def networks(self):
return set(
codes.network for codes in self._squirrel.get_codes('waveform'))
@property
def stations(self):
return set(
codes.station for codes in self._squirrel.get_codes('waveform'))
@property
def locations(self):
return set(
codes.location for codes in self._squirrel.get_codes('waveform'))
@property
def channels(self):
return set(
codes.channel for codes in self._squirrel.get_codes('waveform'))
def is_relevant(self, tmin, tmax):
ptmin, ptmax = self._squirrel.get_time_span(
['waveform', 'waveform_promise'])
if None in (ptmin, ptmax):
return False
return tmax >= ptmin and ptmax >= tmin
def load_files(
self, filenames,
filename_attributes=None,
fileformat='mseed',
cache=None,
show_progress=True,
update_progress=None):
self._squirrel.add(
filenames, kinds='waveform', format=fileformat)
def chop(
self, tmin, tmax,
nut_selector=None,
snap=(round, round),
include_last=False,
load_data=True,
accessor_id='default'):
nuts = self._squirrel.get_waveform_nuts(tmin=tmin, tmax=tmax)
if load_data:
traces = [
self._squirrel.get_content(nut, 'waveform', accessor_id)
for nut in nuts if nut_selector is None or nut_selector(nut)]
else:
traces = [
trace.Trace(**nut.trace_kwargs)
for nut in nuts if nut_selector is None or nut_selector(nut)]
self._squirrel.advance_accessor(accessor_id)
chopped = []
used_files = set()
for tr in traces:
if not load_data and tr.ydata is not None:
tr = tr.copy(data=False)
tr.ydata = None
try:
chopped.append(tr.chop(
tmin, tmax,
inplace=False,
snap=snap,
include_last=include_last))
except trace.NoData:
pass
return chopped, used_files
def _process_chopped(
self, chopped, degap, maxgap, maxlap, want_incomplete, wmax, wmin,
tpad):
chopped.sort(key=lambda a: a.full_id)
if degap:
chopped = trace.degapper(chopped, maxgap=maxgap, maxlap=maxlap)
if not want_incomplete:
chopped_weeded = []
for tr in chopped:
emin = tr.tmin - (wmin-tpad)
emax = tr.tmax + tr.deltat - (wmax+tpad)
if (abs(emin) <= 0.5*tr.deltat and abs(emax) <= 0.5*tr.deltat):
chopped_weeded.append(tr)
elif degap:
if (0. < emin <= 5. * tr.deltat and
-5. * tr.deltat <= emax < 0.):
tr.extend(
wmin-tpad,
wmax+tpad-tr.deltat,
fillmethod='repeat')
chopped_weeded.append(tr)
chopped = chopped_weeded
for tr in chopped:
tr.wmin = wmin
tr.wmax = wmax
return chopped
[docs] def chopper(
self,
tmin=None, tmax=None, tinc=None, tpad=0.,
group_selector=None, trace_selector=None,
want_incomplete=True, degap=True, maxgap=5, maxlap=None,
keep_current_files_open=False, accessor_id='default',
snap=(round, round), include_last=False, load_data=True,
style=None):
'''
Get iterator for shifting window wise data extraction from waveform
archive.
:param tmin: start time (default uses start time of available data)
:param tmax: end time (default uses end time of available data)
:param tinc: time increment (window shift time) (default uses
``tmax-tmin``)
:param tpad: padding time appended on either side of the data windows
(window overlap is ``2*tpad``)
:param group_selector: *ignored in squirrel-based pile*
:param trace_selector: filter callback taking
:py:class:`pyrocko.trace.Trace` objects
:param want_incomplete: if set to ``False``, gappy/incomplete traces
are discarded from the results
:param degap: whether to try to connect traces and to remove gaps and
overlaps
:param maxgap: maximum gap size in samples which is filled with
interpolated samples when ``degap`` is ``True``
:param maxlap: maximum overlap size in samples which is removed when
``degap`` is ``True``
:param keep_current_files_open: whether to keep cached trace data in
memory after the iterator has ended
:param accessor_id: if given, used as a key to identify different
points of extraction for the decision of when to release cached
trace data (should be used when data is alternately extracted from
more than one region / selection)
:param snap: replaces Python's :py:func:`round` function which is used
to determine indices where to start and end the trace data array
:param include_last: whether to include last sample
:param load_data: whether to load the waveform data. If set to
``False``, traces with no data samples, but with correct
meta-information are returned
:param style: set to ``'batch'`` to yield waveforms and information
about the chopper state as :py:class:`pyrocko.pile.Batch` objects.
By default lists of :py:class:`pyrocko.trace.Trace` objects are
yielded.
:returns: iterator providing extracted waveforms for each extracted
window. See ``style`` argument for details.
'''
if tmin is None:
if self.tmin is None:
logger.warning('Pile\'s tmin is not set - pile may be empty.')
return
tmin = self.tmin + tpad
if tmax is None:
if self.tmax is None:
logger.warning('Pile\'s tmax is not set - pile may be empty.')
return
tmax = self.tmax - tpad
if tinc is None:
tinc = tmax - tmin
if not self.is_relevant(tmin-tpad, tmax+tpad):
return
nut_selector = trace_callback_to_nut_callback(trace_selector)
eps = tinc * 1e-6
if tinc != 0.0:
nwin = int(((tmax - eps) - tmin) / tinc) + 1
else:
nwin = 1
for iwin in range(nwin):
wmin, wmax = tmin+iwin*tinc, min(tmin+(iwin+1)*tinc, tmax)
chopped, used_files = self.chop(
wmin-tpad, wmax+tpad, nut_selector, snap,
include_last, load_data, accessor_id)
processed = self._process_chopped(
chopped, degap, maxgap, maxlap, want_incomplete, wmax, wmin,
tpad)
if style == 'batch':
yield classic_pile.Batch(
tmin=wmin,
tmax=wmax,
i=iwin,
n=nwin,
traces=processed)
else:
yield processed
if not keep_current_files_open:
self._squirrel.clear_accessor(accessor_id, 'waveform')
def chopper_grouped(self, gather, progress=None, *args, **kwargs):
raise NotImplementedError
def reload_modified(self):
self._squirrel.reload()
[docs] def iter_traces(
self,
load_data=False,
return_abspath=False,
group_selector=None,
trace_selector=None):
'''
Iterate over all traces in pile.
:param load_data: whether to load the waveform data, by default empty
traces are yielded
:param return_abspath: if ``True`` yield tuples containing absolute
file path and :py:class:`pyrocko.trace.Trace` objects
:param group_selector: *ignored in squirre-based pile*
:param trace_selector: filter callback taking
:py:class:`pyrocko.trace.Trace` objects
'''
assert not load_data
assert not return_abspath
nut_selector = trace_callback_to_nut_callback(trace_selector)
for nut in self._squirrel.get_waveform_nuts():
if nut_selector is None or nut_selector(nut):
yield trace.Trace(**nut.trace_kwargs)
def gather_keys(self, gather, selector=None):
codes_gather = trace_callback_to_codes_callback(gather)
codes_selector = trace_callback_to_codes_callback(selector)
return self._squirrel._gather_codes_keys(
'waveform', codes_gather, codes_selector)
[docs] def snuffle(self, **kwargs):
'''Visualize it.
:param stations: list of `pyrocko.model.Station` objects or ``None``
:param events: list of `pyrocko.model.Event` objects or ``None``
:param markers: list of `pyrocko.gui_util.Marker` objects or ``None``
:param ntracks: float, number of tracks to be shown initially
(default: 12)
:param follow: time interval (in seconds) for real time follow mode or
``None``
:param controls: bool, whether to show the main controls (default:
``True``)
:param opengl: bool, whether to use opengl (default: ``False``)
'''
from pyrocko.gui.snuffler import snuffle
snuffle(self, **kwargs)
def add_file(self, mtf):
if isinstance(mtf, classic_pile.MemTracesFile):
name = self._squirrel.add_volatile_waveforms(mtf.get_traces())
mtf._squirrel_name = name
else:
assert False
def remove_file(self, mtf):
if isinstance(mtf, classic_pile.MemTracesFile) \
and getattr(mtf, '_squirrel_name', False):
self._squirrel.remove(mtf._squirrel_name)
mtf._squirrel_name = None
def is_empty(self):
return 'waveform' not in self._squirrel.get_kinds()
def get_update_count(self):
return 0
def get_cache(_):
return None
