PhaseAssociation/catalogConverter.py

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Python
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2024-10-09 11:18:04 +02:00
import pandas as pd
from obspy.core.event import Catalog
from obspy.core.event import Event
from obspy.core.event import Pick
from obspy.core.event import Origin
from obspy.core.event import OriginQuality
from obspy import UTCDateTime
from obspy.core.event.base import WaveformStreamID, Comment
class CatalogConverter:
"""
Class for converting SeisBench and pyOcto detection results to ObsPy Catalog, which can be saved as QuakeML.
"""
def __init__(self, config, picks, catalog_df, assignments_df, name_of_algorithm):
self._catalog_df = catalog_df
self._assignments_df = assignments_df
self._picks = picks
self._config = config
self._name_of_algorithm = name_of_algorithm
self.catalog = None
def _convert_pick(self, p):
"""
Function converts picks from SeisBench to ObsPy format
:param p: SeisBench pick
:return: ObsPy pick
"""
pick = Pick()
pick.time = UTCDateTime(p.peak_time.datetime)
pick.waveform_id = WaveformStreamID(network_code=p.trace_id.split(".")[0],
station_code=p.trace_id.split(".")[1],
channel_code=p.trace_id.split(".")[2])
if p.phase == 'P':
pick.phase_hint = self._config["P_hint"]
elif p.phase == 'S':
pick.phase_hint = self._config["S_hint"]
pick.evaluation_mode = 'automatic'
pick.evaluation_status = 'preliminary'
return pick
def _convert_origin(self, origin_sb, list_of_picks_sb):
origin = Origin()
origin.time = UTCDateTime(pd.to_datetime(origin_sb.time, unit='s').to_pydatetime())
origin.latitude = origin_sb.latitude # float
origin.longitude = origin_sb.longitude # float
origin.depth = origin_sb.depth # float in kilometers (SWIP5 origin version) down the see level
origin.depth_type = 'operator assigned'
# TODO: make sure that region is not necessary
# origin.region = self._config["region"]
origin.evaluation_mode = "automatic"
origin.evaluation_status = 'preliminary'
origin.comments.append(Comment(text=f"Localized by: {self._name_of_algorithm}", force_resource_id=False))
origin.quality = OriginQuality(used_phase_count=len(list_of_picks_sb))
return origin
def _convert_event(self, origin_sb, list_of_picks_sb):
"""
Function convert GaMMa detection to ObsPy Event
:param origin_sb:
:param list_of_picks_sb:
:return:
"""
event = Event()
for p in list_of_picks_sb:
pick = self._convert_pick(p)
event.picks.append(pick)
origin = self._convert_origin(origin_sb, list_of_picks_sb)
event.origins.append(origin)
return event
@staticmethod
def _append_pick_trace_id(pick, stream):
"""
Function assigns channel to pick - it is useful for work with SWIP
:param pick:
:param stream:
:return:
"""
channel = stream[0].stats.channel
if pick.phase == "P":
pick.trace_id = pick.trace_id + channel[:-1] + "Z"
if pick.phase == "S":
pick.trace_id = pick.trace_id + channel[:-1] + "E"
return pick
def catalog2obspy(self):
"""
Function convert GaMMa catalog and SeisBench picks
:return: ObsPy Catalog object
"""
# TODO: make sure that resource id is necessary
#cat = Catalog(resource_id=self._config["resource_id"])
cat = Catalog()
for j, row in self._catalog_df.iterrows():
event = self._catalog_df.iloc[j]
event_picks = [self._picks[i] for i in
self._assignments_df[self._assignments_df["event_idx"] ==
event["idx"]]["pick_idx"]]
event_obspy = self._convert_event(event, event_picks)
cat.append(event_obspy)
self.catalog = cat
def save_catalog_to_file(self, file_path):
"""
Save ObsPy catalog to a file.
Args:
file_path (str): The file path where the catalog will be saved.
Returns:
None
"""
try:
self.catalog.write(file_path, format="QUAKEML")
print(f"Catalog saved successfully to {file_path}")
except Exception as e:
print(f"Error occurred while saving catalog: {e}")