def get_live_timeseries():
ts = TimeSeries()
ts.set_live()
ts.dt = 1 / sampling_rate
ts.npts = ts_size
# ts.put('net', 'IU')
ts.put('npts', ts_size)
ts.put('sampling_rate', sampling_rate)
ts.tref = TimeReferenceType.UTC
ts.t0 = datetime.utcnow().timestamp()
ts['delta'] = 0.1
ts['calib'] = 0.1
ts['site_id'] = bson.objectid.ObjectId()
ts['channel_id'] = bson.objectid.ObjectId()
ts['source_id'] = bson.objectid.ObjectId()
ts.set_as_origin('test', '0', '0', AtomicType.TIMESERIES)
ts.data = DoubleVector(np.random.rand(ts_size))
return ts
def get_live_timeseries():
ts = TimeSeries()
ts.set_live()
ts.dt = 1 / sampling_rate
ts.npts = ts_size
# ts.put('net', 'IU')
ts.put("npts", ts_size)
ts.put("sampling_rate", sampling_rate)
ts.tref = TimeReferenceType.UTC
ts.t0 = datetime.utcnow().timestamp()
ts["delta"] = 0.1
ts["calib"] = 0.1
ts["site_id"] = bson.objectid.ObjectId()
ts["channel_id"] = bson.objectid.ObjectId()
ts["source_id"] = bson.objectid.ObjectId()
ts.set_as_origin("test", "0", "0", AtomicType.TIMESERIES)
ts.data = DoubleVector(np.random.rand(ts_size))
return ts
def read_data(d):
di = d.get_string("dir")
dfile = d.get_string("dfile")
foff = d.get("foff")
fname = os.path.join(di, dfile)
with open(fname, mode="rb") as fh:
fh.seek(foff)
float_array = array("d")
float_array.frombytes(fh.read(d.get("nofbytes")))
d.data = DoubleVector(float_array)
if __name__ == "__main__":
s = TimeSeries()
s.data = DoubleVector(np.random.rand(255))
s["dir"] = "./"
s["dfile"] = "test_op"
save_data(s)
s2 = TimeSeries()
for k in s:
s2[k] = s[k]
s2.data = DoubleVector([])
print(len(s2.data))
read_data(s2)
print(len(s2.data))
assert all(a == b for a, b in zip(s.data, s2.data))
# client = MongoClient('localhost', 27017)
# db = client.mspass
# channels = db.channels