SeismicX-Cont / utils /convert_annotations_for_hdf5.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import json
import argparse
from pathlib import Path
from collections import defaultdict
from obspy import UTCDateTime
DEFAULT_LOCATION = "--"
DROP_EVENT_KEYS = {
"event_time_index",
"nt",
"nx",
"sampling_rate",
"begin_time",
"end_time",
}
DROP_RECORD_KEYS = {
"phase_index",
"p_phase_index",
"s_phase_index",
"phase_picking_channel",
"phase_polarity",
"phase_remark",
"phase_score",
"phase_time",
"phase_type",
"snr",
}
def normalize_location(location, default=DEFAULT_LOCATION):
if location is None:
return default
location = str(location).strip()
return location if location else default
def make_station_id(network, station, location, default=DEFAULT_LOCATION):
return f"{str(network or '').strip()}.{str(station or '').strip()}.{normalize_location(location, default)}"
def parse_utc(value):
if not value:
return None
return UTCDateTime(str(value))
def utc_to_group_id(t, level):
if level == "year":
return f"{t.year:04d}-01-01T00:00:00.000000Z"
if level == "day":
return f"{t.year:04d}-{t.month:02d}-{t.day:02d}T00:00:00.000000Z"
raise ValueError(level)
def clean_dict(d, drop_keys):
return {k: v for k, v in dict(d or {}).items() if k not in drop_keys}
def phase_from_record(record, phase):
block = record.get(phase)
if not isinstance(block, dict):
return None
if not block.get("time"):
return None
return {
"phase": phase,
"time": block.get("time"),
"polarity": block.get("polarity"),
"score": block.get("score"),
"status": block.get("status"),
}
def convert_record_to_station_pick(record, default_location=DEFAULT_LOCATION):
network = record.get("network", "")
station = record.get("station", "")
location = normalize_location(record.get("location"), default_location)
station_id = make_station_id(network, station, location, default_location)
station_metadata = {
"station_id": station_id,
"network": network,
"station": station,
"location": location,
"latitude": record.get("latitude"),
"longitude": record.get("longitude"),
"elevation": record.get("elevation_m"),
"depth_km": record.get("depth_km"),
"local_depth_m": record.get("local_depth_m"),
"instrument": record.get("instrument"),
"component": record.get("component"),
"unit": record.get("unit"),
}
picks = []
for phase in ["P", "S"]:
p = phase_from_record(record, phase)
if p is not None:
p.update({
"network": network,
"station": station,
"location": location,
"station_id": station_id,
"channel_hint": record.get("component"),
"distance_km": record.get("distance_km"),
"azimuth": record.get("azimuth"),
"back_azimuth": record.get("back_azimuth"),
"takeoff_angle": record.get("takeoff_angle"),
})
picks.append(p)
record_clean = clean_dict(record, DROP_RECORD_KEYS)
for key in [
"P", "S",
"p_phase_time", "p_phase_polarity", "p_phase_score", "p_phase_status",
"s_phase_time", "s_phase_polarity", "s_phase_score", "s_phase_status",
]:
record_clean.pop(key, None)
record_clean["station_id"] = station_id
record_clean["location"] = location
return station_id, station_metadata, picks, record_clean
def convert_event(event_id, item, default_location=DEFAULT_LOCATION):
event = item.get("event", {})
records = item.get("records", [])
event_time = parse_utc(event.get("event_time"))
if event_time is None:
return None, None, None
event_clean = clean_dict(event, DROP_EVENT_KEYS)
event_obj = {
"event_id": event.get("event_id", event_id),
"event": event_clean,
"preferred_origin": {
"time": event.get("event_time"),
"latitude": event.get("latitude"),
"longitude": event.get("longitude"),
"depth_m": event.get("depth_km") * 1000.0
if event.get("depth_km") is not None else None,
},
"preferred_magnitude": {
"mag": event.get("magnitude"),
"magnitude_type": event.get("magnitude_type"),
},
"stations": {},
"counts": {
"station_count": 0,
"pick_count": 0,
"record_count": 0,
},
}
station_groups = defaultdict(lambda: {
"station_id": "",
"network": "",
"station": "",
"location": "",
"station_metadata": None,
"picks": [],
"records": [],
})
pick_count = 0
for record in records:
station_id, station_metadata, picks, record_clean = convert_record_to_station_pick(
record,
default_location=default_location,
)
sg = station_groups[station_id]
sg["station_id"] = station_id
sg["network"] = station_metadata["network"]
sg["station"] = station_metadata["station"]
sg["location"] = station_metadata["location"]
sg["station_metadata"] = station_metadata
sg["picks"].extend(picks)
sg["records"].append(record_clean)
pick_count += len(picks)
event_obj["stations"] = dict(station_groups)
event_obj["counts"]["station_count"] = len(station_groups)
event_obj["counts"]["pick_count"] = pick_count
event_obj["counts"]["record_count"] = len(records)
year_id = utc_to_group_id(event_time, "year")
day_id = utc_to_group_id(event_time, "day")
return year_id, day_id, event_obj
def convert_files(input_files, output_file, default_location=DEFAULT_LOCATION):
output = {
"format": "seismic_annotation_json_for_continuous_hdf5_v1",
"hdf5_hierarchy": "year/day/stations/station_id/waveform/channel/segment",
"station_id_format": "network.station.location",
"empty_location_value": default_location,
"years": {},
"summary": {
"event_count": 0,
"station_event_count": 0,
"pick_count": 0,
"record_count": 0,
},
}
for input_file in input_files:
with open(input_file, "r", encoding="utf-8") as f:
data = json.load(f)
for event_id, item in data.get("events", {}).items():
year_id, day_id, event_obj = convert_event(
event_id,
item,
default_location=default_location,
)
if event_obj is None:
continue
year_grp = output["years"].setdefault(year_id, {
"utc_time": year_id,
"days": {},
})
day_grp = year_grp["days"].setdefault(day_id, {
"utc_time": day_id,
"events": {},
})
safe_event_id = event_obj["event_id"].replace("/", "_").replace(":", "_")
day_grp["events"][safe_event_id] = event_obj
output["summary"]["event_count"] += 1
output["summary"]["station_event_count"] += event_obj["counts"]["station_count"]
output["summary"]["pick_count"] += event_obj["counts"]["pick_count"]
output["summary"]["record_count"] += event_obj["counts"]["record_count"]
Path(output_file).parent.mkdir(parents=True, exist_ok=True)
with open(output_file, "w", encoding="utf-8") as f:
json.dump(output, f, ensure_ascii=False, indent=2)
print(f"[OK] saved: {output_file}")
print(f"[OK] events: {output['summary']['event_count']}")
print(f"[OK] station-event records: {output['summary']['station_event_count']}")
print(f"[OK] picks: {output['summary']['pick_count']}")
print(f"[OK] raw records: {output['summary']['record_count']}")
def main():
parser = argparse.ArgumentParser()
parser.add_argument("inputs", nargs="+")
parser.add_argument("-o", "--output", default="annotations_for_continuous_hdf5.json")
parser.add_argument("--default_location", default=DEFAULT_LOCATION)
args = parser.parse_args()
convert_files(
input_files=args.inputs,
output_file=args.output,
default_location=args.default_location,
)
if __name__ == "__main__":
main()