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"""Factory that loads data from earthworm and writes to Edge.
EdgeFactory uses obspy earthworm class to read data from any
earthworm standard Waveserver using the obspy getWaveform call.
Writing will be implemented with Edge specific capabilities,
to take advantage of it's newer realtime abilities.
Edge is the USGS earthquake hazard centers replacement for earthworm.
"""
Hal Simpson
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import numpy
import numpy.ma
import obspy.core
from datetime import datetime

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from obspy.clients import earthworm
from .. import ChannelConverter, TimeseriesUtility
from ..TimeseriesFactory import TimeseriesFactory
from ..TimeseriesFactoryException import TimeseriesFactoryException
from ..ObservatoryMetadata import ObservatoryMetadata
class EdgeFactory(TimeseriesFactory):
"""TimeseriesFactory for Edge related data.
Parameters
----------
host: str
a string representing the IP number of the host to connect to.
port: integer
the port number the waveserver is listening on.
observatory: str
the observatory code for the desired observatory.
channels: array
an array of channels {H, D, E, F, Z, MGD, MSD, HGD}.
Known since channel names are mapped based on interval and type,
others are passed through, see #_get_edge_channel().
type: str
the data type {variation, quasi-definitive, definitive}
interval: str
observatoryMetadata: ObservatoryMetadata object
an ObservatoryMetadata object used to replace the default
ObservatoryMetadata.
locationCode: str
the location code for the given edge server, overrides type
in get_timeseries/put_timeseries
cwbhost: str
a string represeting the IP number of the cwb host to connect to.
cwbport: int
the port number of the cwb host to connect to.
tag: str
A tag used by edge to log and associate a socket with a given data
source
forceout: bool
Tells edge to forceout a packet to miniseed. Generally used when
the user knows no more data is coming.
See Also
--------
TimeseriesFactory
Notes
-----
This is designed to read from any earthworm style waveserver, but it
currently only writes to an edge. Edge mimics an earthworm style
waveserver close enough that we hope to maintain that compatibility
for reading.
def __init__(
self,
host="cwbpub.cr.usgs.gov",
port=2060,
write_port=7981,
observatory=None,
channels=None,
type=None,
interval=None,
observatoryMetadata=None,
locationCode=None,
cwbhost=None,
cwbport=0,
tag="GeomagAlg",
forceout=False,
):
TimeseriesFactory.__init__(self, observatory, channels, type, interval)
self.client = earthworm.Client(host, port)
self.observatoryMetadata = observatoryMetadata or ObservatoryMetadata()
self.tag = tag
self.locationCode = locationCode
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self.interval = interval
self.host = host
self.port = port
self.cwbport = cwbport
self.forceout = forceout
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def get_timeseries(
self,
starttime,
endtime,
observatory=None,
channels=None,
type=None,
interval=None,
):
"""Get timeseries data
Parameters
----------
starttime: obspy.core.UTCDateTime
time of first sample.
endtime: obspy.core.UTCDateTime
time of last sample.
observatory: str
channels: array_like
list of channels to load
type: {'variation', 'quasi-definitive', 'definitive'}
data type.
interval: {'day', 'hour', 'minute', 'second', 'tenhertz'}
data interval.
Returns
-------
obspy.core.Stream
timeseries object with requested data.
Raises
------
TimeseriesFactoryException
if invalid values are requested, or errors occur while
retrieving timeseries.
"""
observatory = observatory or self.observatory
channels = channels or self.channels
type = type or self.type
interval = interval or self.interval
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if starttime > endtime:
raise TimeseriesFactoryException(
'Starttime before endtime "%s" "%s"' % (starttime, endtime)
)
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# obspy factories sometimes write to stdout, instead of stderr
original_stdout = sys.stdout
try:

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# send stdout to stderr
sys.stdout = sys.stderr
# get the timeseries
timeseries = obspy.core.Stream()
for channel in channels:
data = self._get_timeseries(
starttime, endtime, observatory, channel, type, interval
)
timeseries += data
finally:

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# restore stdout
sys.stdout = original_stdout
self._post_process(timeseries, starttime, endtime, channels)
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return timeseries
def put_timeseries(
self,
timeseries,
starttime=None,
endtime=None,
observatory=None,
channels=None,
type=None,
interval=None,
):
"""Put timeseries data
Parameters
----------
timeseries: obspy.core.Stream
timeseries object with data to be written
observatory: str
observatory code.
channels: array_like
list of channels to load
type: {'variation', 'quasi-definitive', 'definitive'}
data type.
interval: {'day', 'hour', 'minute', 'second', 'tenhertz'}
data interval.
Notes
-----
Streams sent to timeseries are expected to have a single trace per
channel and that trace should have an ndarray, with nan's
representing gaps.
"""
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stats = timeseries[0].stats
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observatory = observatory or stats.station or self.observatory
channels = channels or self.channels
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type = type or self.type or stats.data_type
interval = interval or self.interval or stats.data_interval
if starttime is None or endtime is None:
starttime, endtime = TimeseriesUtility.get_stream_start_end_times(
for channel in channels:
if timeseries.select(channel=channel).count() == 0:
raise TimeseriesFactoryException(
'Missing channel "%s" for output, available channels %s'
% (channel, str(TimeseriesUtility.get_channels(timeseries)))
)
for channel in channels:
self._put_channel(
timeseries, observatory, channel, type, interval, starttime, endtime
)
def _convert_timeseries_to_decimal(self, stream):
"""convert geomag edge timeseries data stored as ints, to decimal by
dividing by 1000.00
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Parameters
----------
stream : obspy.core.stream
a stream retrieved from a geomag edge representing one channel.
Notes
-----
This routine changes the values in the timeseries. The user should
make a copy before calling if they don't want that side effect.
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"""
for trace in stream:
trace.data = numpy.divide(trace.data, 1000.00)
def _convert_trace_to_int(self, trace_in):
"""convert geomag edge traces stored as decimal, to ints by multiplying
by 1000
Parameters
----------
trace : obspy.core.trace
a trace retrieved from a geomag edge representing one channel.
Returns
-------
obspy.core.trace
a trace converted to ints
Notes
-----
this doesn't work on ndarray with nan's in it.
the trace must be a masked array.
"""
trace = trace_in.copy()
trace.data = numpy.multiply(trace.data, 1000.00)
trace.data = trace.data.astype(int)
return trace
def _convert_stream_to_masked(self, timeseries, channel):
"""convert geomag edge traces in a timeseries stream to a MaskedArray
This allows for gaps and splitting.
Parameters
----------
stream : obspy.core.stream
a stream retrieved from a geomag edge representing one channel.
channel: string
the channel to be masked.
Returns
-------
obspy.core.stream
a stream with all traces converted to masked arrays.
stream = timeseries.copy()
for trace in stream.select(channel=channel):
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trace.data = numpy.ma.masked_invalid(trace.data)
return stream
def _get_edge_channel(self, observatory, channel, type, interval):
"""get edge channel.
Parameters
----------
observatory : str
observatory code
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channel : str
single character channel {H, E, D, Z, F, X, Y, G} or
any appropriate edge channel, ie MSD, MGD, HGD.
type : str
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data type {definitive, quasi-definitive, variation}
interval : str
interval length {minute, second}
Returns
-------
edge_channel
"""
edge_interval_code = self._get_interval_code(interval)
edge_channel = None
# If form is chan.loc, return chan (left) portion.
# Allows specific chan/loc selection.
if channel.find(".") >= 0:
tmplist = channel.split(".")
return tmplist[0].strip()
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if channel == "D":
edge_channel = edge_interval_code + "VD"
elif channel == "E":
edge_channel = edge_interval_code + "VE"
elif channel == "F":
edge_channel = edge_interval_code + "SF"
elif channel == "H":
edge_channel = edge_interval_code + "VH"
elif channel == "Z":
edge_channel = edge_interval_code + "VZ"
elif channel == "G":
edge_channel = edge_interval_code + "SG"
elif channel == "X":
edge_channel = edge_interval_code + "VX"
elif channel == "Y":
edge_channel = edge_interval_code + "VY"
elif channel == "E-E":
edge_channel = edge_interval_code + "QE"
elif channel == "E-N":
edge_channel = edge_interval_code + "QN"
elif channel == "DIST":
edge_channel = edge_interval_code + "DT"
elif channel == "DST":
edge_channel = edge_interval_code + "GD"
elif channel == "SQ":
edge_channel = edge_interval_code + "SQ"
elif channel == "SV":
edge_channel = edge_interval_code + "SV"
else:
return edge_channel
def _get_edge_location(self, observatory, channel, type, interval):
"""get edge location.
The edge location code is currently determined by the type
passed in.
Parameters
----------
observatory : str
observatory code
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channel : str
single character channel {H, E, D, Z, F}
type : str
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data type {definitive, quasi-definitive, variation}
interval : str
interval length {minute, second}
Returns
-------
location
returns an edge location code
"""
location = None
# If form is chan.loc, return loc (right) portion
# Allows specific chan/loc selection.
if channel.find(".") >= 0:
tmplist = channel.split(".")
return tmplist[1].strip()
if self.locationCode is not None:
location = self.locationCode
else:
if type == "variation" or type == "reported":
location = "R0"
elif type == "adjusted" or type == "provisional":
location = "A0"
elif type == "quasi-definitive":
location = "Q0"
elif type == "definitive":
location = "D0"
elif len(type) == 2:
location = type
return location
def _get_edge_network(self, observatory, channel, type, interval):
"""get edge network code.
Parameters
----------
observatory : str
observatory code
channel : str
single character channel {H, E, D, Z, F}
type : str
data type {definitive, quasi-definitive, variation}
interval : str
interval length {minute, second}
Returns
-------
network
always NT
"""
def _get_edge_station(self, observatory, channel, type, interval):
"""get edge station.
Parameters
----------
observatory : str
observatory code
channel : str
single character channel {H, E, D, Z, F}
type : str
data type {definitive, quasi-definitive, variation}
interval : str
interval length {minute, second}
Returns
-------
station
the observatory is returned as the station
"""
return observatory
def _get_interval_code(self, interval):
"""get edge interval code.
Converts the metadata interval string, into an edge single character
edge code.
Parameters
----------
observatory : str
observatory code
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channel : str
single character channel {H, E, D, Z, F}
type : str
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data type {definitive, quasi-definitive, variation}
interval : str
interval length {minute, second}
Returns
-------
interval type
"""
interval_code = None
if interval == "day":
interval_code = "D"
elif interval == "hour":
interval_code = "H"
elif interval == "minute":
interval_code = "M"
elif interval == "second":
interval_code = "S"
else:
raise TimeseriesFactoryException('Unexpected interval "%s"' % interval)
return interval_code
def _get_timeseries(self, starttime, endtime, observatory, channel, type, interval):
"""get timeseries data for a single channel.
Parameters
----------
starttime: obspy.core.UTCDateTime
the starttime of the requested data
endtime: obspy.core.UTCDateTime
the endtime of the requested data
observatory : str
observatory code
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channel : str
single character channel {H, E, D, Z, F}
type : str
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data type {definitive, quasi-definitive, variation}
interval : str
interval length {minute, second}
Returns
-------
obspy.core.trace
timeseries trace of the requested channel data
"""
station = self._get_edge_station(observatory, channel, type, interval)
location = self._get_edge_location(observatory, channel, type, interval)
network = self._get_edge_network(observatory, channel, type, interval)
edge_channel = self._get_edge_channel(observatory, channel, type, interval)
try:
data = self.client.get_waveforms(
network, station, location, edge_channel, starttime, endtime
)
except TypeError:
# get_waveforms() fails if no data is returned from Edge
data = obspy.core.Stream()
# make sure data is 32bit int
for trace in data:
trace.data = trace.data.astype("i4")
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data.merge()
if data.count() == 0:
data += TimeseriesUtility.create_empty_trace(
starttime,
endtime,
observatory,
channel,
type,
interval,
network,
station,
location,
)
self._set_metadata(data, observatory, channel, type, interval)
return data
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def _post_process(self, timeseries, starttime, endtime, channels):
"""Post process a timeseries stream after the raw data is
is fetched from a waveserver. Specifically changes
any MaskedArray to a ndarray with nans representing gaps.
Then calls pad_timeseries to deal with gaps at the
beggining or end of the streams.
Parameters
----------
timeseries: obspy.core.stream
The timeseries stream as returned by the call to get_waveforms
starttime: obspy.core.UTCDateTime
the starttime of the requested data
endtime: obspy.core.UTCDateTime
the endtime of the requested data
channels: array_like
list of channels to load
Notes: the original timeseries object is changed.
"""
self._convert_timeseries_to_decimal(timeseries)
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if isinstance(trace.data, numpy.ma.MaskedArray):
trace.data.set_fill_value(numpy.nan)
trace.data = trace.data.filled()
if "D" in channels:
for trace in timeseries.select(channel="D"):
trace.data = ChannelConverter.get_radians_from_minutes(trace.data)
TimeseriesUtility.pad_timeseries(timeseries, starttime, endtime)
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self,
timeseries,
observatory,
channel,
type,
interval,
starttime,
endtime,
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"""Put a channel worth of data
Parameters
----------
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timeseries: obspy.core.Stream
timeseries object with data to be written
observatory: str
observatory code.
channel: str
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channel to load
type: {'variation', 'quasi-definitive', 'definitive'}
data type.
interval: {'day', 'hour', 'minute', 'second', 'tenhertz'}
data interval.
starttime: obspy.core.UTCDateTime
endtime: obspy.core.UTCDateTime
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Notes
-----
RawInputClient seems to only work when sockets are
"""
station = self._get_edge_station(observatory, channel, type, interval)
location = self._get_edge_location(observatory, channel, type, interval)
network = self._get_edge_network(observatory, channel, type, interval)
edge_channel = self._get_edge_channel(observatory, channel, type, interval)
now = obspy.core.UTCDateTime(datetime.utcnow())
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if ((now - endtime) > 864000) and (self.cwbport > 0):
host = self.cwbhost
port = self.cwbport
else:
host = self.host
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ric = RawInputClient(
self.tag, host, port, station, edge_channel, location, network
)
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stream = self._convert_stream_to_masked(timeseries=timeseries, channel=channel)
# Make certain there's actually data
if not numpy.ma.any(stream.select(channel=channel)[0].data):
return
for trace in stream.select(channel=channel).split():
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trace_send = trace.copy()
trace_send.trim(starttime, endtime)
trace_send.data = ChannelConverter.get_minutes_from_radians(
trace_send = self._convert_trace_to_int(trace_send)
ric.send_trace(interval, trace_send)
if self.forceout:
ric.forceout()
ric.close()
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def _set_metadata(self, stream, observatory, channel, type, interval):
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"""set metadata for a given stream/channel
Parameters
----------
observatory : str
observatory code
channel : str
edge channel code {MVH, MVE, MVD, ...}
type : str
data type {definitive, quasi-definitive, variation}
interval : str
interval length {minute, second}
"""
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for trace in stream:
self.observatoryMetadata.set_metadata(
trace.stats, observatory, channel, type, interval
)