Optionally do not make events at detection time.

eqcorrscan/core/match_filter/helpers/processes.py

@@ -654,6 +654,7 @@ def _make_detections(
     threshold: float,
     threshold_type: str,
     save_progress: bool,
+    make_events: bool,
     output_queue: Queue,
     poison_queue: Queue,
 ):
@@ -677,6 +678,8 @@ def _make_detections(
     :param save_progress:
         Whether to save progress or not: If true, individual Party files will
         be written each time this is run.
+    :param make_events:
+        Whether to make events for all detections or not.
     :param output_queue:
         Queue of output Party filenames.
     :param poison_queue:
@@ -706,7 +709,7 @@ def _make_detections(
                 detections=detections, threshold=threshold,
                 threshold_type=threshold_type, templates=templates,
                 chunk_start=starttime, chunk_id=chunk_id,
-                save_progress=save_progress)
+                save_progress=save_progress, make_events=make_events)
             chunk_id += 1
             output_queue.put_nowait(chunk_file)
         except Exception as e:

eqcorrscan/core/match_filter/helpers/tribe.py

@@ -617,7 +617,8 @@
     templates: List[Template],
     chunk_start: UTCDateTime,
     chunk_id: int,
-    save_progress: bool
+    save_progress: bool,
+    make_events: bool,
 ) -> str:
     """
     Construct a Party from Detections.
@@ -629,6 +630,7 @@
     :param chunk_start: Starttime of party epoch
     :param chunk_id: Internal index for party epoch
     :param save_progress: Whether to save progress or not
+    :param make_events: Whether to make events for all detections or not
 
     :return: The filename the party has been pickled to.
     """
@@ -657,7 +659,10 @@
         detection_idx_dict[detection.template_name].append(n)
 
     # Convert to Families and build party.
-    Logger.info("Converting to party and making events")
+    if not make_events:
+        Logger.info("Converting to party")
+    else:
+        Logger.info("Converting to party and making events")
     chunk_party = Party()
 
     # Make a dictionary of templates keyed by name - we could be passed a dict
@@ -676,7 +681,8 @@
                 with open(template, "rb") as f:
                     template = pickle.load(f)
             for d in family_detections:
-                d._calculate_event(template=template)
+                if make_events:
+                    d._calculate_event(template=template)
             family = Family(
                 template=template, detections=family_detections)
             chunk_party += family

eqcorrscan/core/match_filter/tribe.py

@@ -657,8 +657,8 @@
                concurrent_processing=False, ignore_length=False,
                ignore_bad_data=False, group_size=None, overlap="calculate",
                full_peaks=False, save_progress=False, process_cores=None,
-               pre_processed=False, check_processing=True, min_stations=0,
-               **kwargs):
+               pre_processed=False, check_processing=True, make_events=True,
+               min_stations=0, **kwargs):
         """
         Detect using a Tribe of templates within a continuous stream.
 
@@ -875,7 +875,7 @@
                 ignore_bad_data, group_size, groups, sampling_rate, threshold,
                 threshold_type, save_progress, xcorr_func, concurrency, cores,
                 export_cccsums, parallel, peak_cores, trig_int, full_peaks,
-                plot, plotdir, plot_format, min_stations,)
+                plot, plotdir, plot_format, make_events, min_stations,)
 
         if concurrent_processing:
             party = self._detect_concurrent(*args, **inner_kwargs)
@@ -903,7 +903,7 @@
         group_size, groups, sampling_rate, threshold, threshold_type,
         save_progress, xcorr_func, concurrency, cores, export_cccsums,
         parallel, peak_cores, trig_int, full_peaks, plot, plotdir, plot_format,
-        min_stations, **kwargs
+        make_events, min_stations, **kwargs
     ):
         """ Internal serial detect workflow. """
         from eqcorrscan.core.match_filter.helpers.tribe import (
@@ -968,7 +968,8 @@
                     detections=detections, threshold=threshold,
                     threshold_type=threshold_type,
                     templates=self.templates, chunk_start=starttime,
-                    chunk_id=i, save_progress=save_progress)
+                    chunk_id=i, save_progress=save_progress, 
+                    make_events=make_events)
                 chunk_files.append(chunk_file)
         # Rebuild
         for _chunk_file in chunk_files:
@@ -993,7 +994,7 @@
         group_size, groups, sampling_rate, threshold, threshold_type,
         save_progress, xcorr_func, concurrency, cores, export_cccsums,
         parallel, peak_cores, trig_int, full_peaks, plot, plotdir, plot_format,
-        min_stations, **kwargs
+        make_events, min_stations, **kwargs
     ):
         """ Internal concurrent detect workflow. """
         from eqcorrscan.core.match_filter.helpers.processes import (
@@ -1082,6 +1083,7 @@
                 threshold=threshold,
                 threshold_type=threshold_type,
                 save_progress=save_progress,
+                make_events=make_events,
                 output_queue=party_file_queue,
                 poison_queue=poison_queue,
             ),
@@ -1232,7 +1234,8 @@
                       ignore_bad_data=False, group_size=None,
                       return_stream=False, full_peaks=False,
                       save_progress=False, process_cores=None, retries=3,
-                      check_processing=True, min_stations=0, **kwargs):
+                      check_processing=True, make_events=True, 
+                      min_stations=0, **kwargs):
         """
         Detect using a Tribe of templates within a continuous stream.
 
@@ -1438,7 +1441,7 @@
             return_stream=return_stream, check_processing=False,
             poison_queue=poison_queue, shutdown=False,
             concurrent_processing=concurrent_processing, groups=groups,
-            min_stations=min_stations)
+            make_events=make_events, min_stations=min_stations)
 
         if not concurrent_processing:
             Logger.warning("Using concurrent_processing=True can be faster if"