Support realtime 2023a data format (SplitInIcePulses)

.github/workflows/tests.yml

@@ -381,7 +381,8 @@ jobs:
         eventfile: [
           hese_event_01.json,
           run00136766-evt000007637140-GOLD.pkl,
-          run00136662-evt000035405932-BRONZE.pkl
+          run00136662-evt000035405932-BRONZE.pkl,
+          138632_31747601.json
         ]
         exclude:
         # splinempe should not run on HESE

skymap_scanner/client/client.py

@@ -6,6 +6,7 @@
 import json
 import logging
 from pathlib import Path
+from ..utils.data_handling import get_gcd_datastager
 
 import ewms_pilot
 from wipac_dev_tools import argparse_tools, logging_tools
@@ -57,18 +58,26 @@ def main() -> None:
     with open(args.client_startup_json, "rb") as f:
         startup_json_dict = json.load(f)
     with open("GCDQp_packet.json", "w") as f:
-        json.dump(startup_json_dict["GCDQp_packet"], f)
+        json.dump(startup_json_dict[cfg.STATEDICT_GCDQP_PACKET], f)
+
+    datastager = get_gcd_datastager()
+
+    baseline_gcd_file = Path(startup_json_dict["baseline_GCD_file"])
+
+    datastager.stage_files([baseline_gcd_file.name])
+
+    baseline_gcd_file = Path(datastager.get_filepath(baseline_gcd_file.name))
 
     # check if baseline GCD file is reachable
-    if not Path(startup_json_dict["baseline_GCD_file"]).exists():
-        raise FileNotFoundError(startup_json_dict["baseline_GCD_file"])
+    if not baseline_gcd_file.exists():
+        raise FileNotFoundError(baseline_gcd_file)
 
     cmd = (
         "python -m skymap_scanner.client.reco_icetray "
         " --in-pkl {{INFILE}}"  # no f-string b/c want to preserve '{{..}}'
         " --out-pkl {{OUTFILE}}"  # ^^^
         " --gcdqp-packet-json GCDQp_packet.json"
-        f" --baseline-gcd-file {startup_json_dict['baseline_GCD_file']}"
+        f" --baseline-gcd-file {baseline_gcd_file}"
     )
 
     # go!

skymap_scanner/config.py

@@ -16,24 +16,49 @@
 # True constants
 #
 
-DEFAULT_GCD_DIR: Path = Path("/opt/i3-data/baseline_gcds")
 
 # Local data sources. These are assumed to be filesystem paths and are expected to have the same directory structure.
 LOCAL_DATA_SOURCES: Final[List[Path]] = [
     Path("/opt/i3-data"),
     Path("/cvmfs/icecube.opensciencegrid.org/data"),
 ]
-# Directory path under a local data source to fetch spline data from.
-LOCAL_SPLINE_SUBDIR: Final[str] = "photon-tables/splines"
 
 # HTTP source to download data from.
 REMOTE_DATA_SOURCE: Final[str] = "http://prod-exe.icecube.wisc.edu"
-REMOTE_SPLINE_SUBDIR: Final[str] = "spline-tables"
 
+# Local ephemeral directory to stage files.
 LOCAL_DATA_CACHE: Final[Path] = Path("./data-staging-cache")
 
+# Directory path under a local data source to fetch spline data from.
+LOCAL_SPLINE_SUBDIR: Final[str] = "photon-tables/splines"
+REMOTE_SPLINE_SUBDIR: Final[str] = "spline-tables"
+
+# GCD data sources.
+LOCAL_GCD_DATA_SOURCES: Final[List[Path]] = [
+    Path("/opt/i3-data/baseline_gcds"),
+    Path("/cvmfs/icecube.opensciencegrid.org/users/RealTime/GCD/PoleBaseGCDs"),
+]
+
+DEFAULT_GCD_DIR = LOCAL_GCD_DATA_SOURCES[0]
+
+# Since the container and CVFMS have GCD files in different subdirectories
+#   we put the complete path in LOCAL_GCD_DATA_SOURCES and use no subdir.
+LOCAL_GCD_SUBDIR = ""
+
+REMOTE_GCD_DATA_SOURCE: Final[
+    str
+] = "http://prod-exe.icecube.wisc.edu/baseline_gcds"
+
+
 # physics strings
-INPUT_PULSES_NAME: Final = "SplitUncleanedInIcePulses"
+INPUT_PULSES_NAME_MAP: Final[dict[str, str]] = {
+    "2021a": "SplitUncleanedInIcePulses",
+    "2023a": "SplitInIcePulses",
+}
+DEFAULT_INPUT_PULSES_NAME: Final = "SplitUncleanedInIcePulses"
+
+INPUT_PULSES_NAME = "SplitUncleanedInIcePulses"
+
 INPUT_TIME_NAME: Final = "SeedVertexTime"
 INPUT_POS_NAME: Final = "SeedVertexPos"
 OUTPUT_PARTICLE_NAME: Final = "MillipedeSeedParticle"
@@ -46,6 +71,7 @@
 STATEDICT_GCDQP_PACKET: Final = "GCDQp_packet"
 STATEDICT_BASELINE_GCD_FILE: Final = "baseline_GCD_file"
 STATEDICT_NSIDES: Final = "nsides"
+STATEDICT_INPUT_PULSES: Final = "input_pulses_name"
 #
 MSG_KEY_RECO_ALGO: Final = "reco_algo"
 MSG_KEY_PFRAME: Final = "pframe"

skymap_scanner/recos/millipede_original.py

@@ -70,7 +70,7 @@ def get_vertex_variations() -> List[dataclasses.I3Position]:
 
     @classmethod
     @icetray.traysegment
-    def prepare_frames(cls, tray, name, logger, pulsesName):
+    def prepare_frames(cls, tray, name, logger):
         # If VHESelfVeto is already present, copy over the output to the names used by Skymap Scanner  for seeding the vertices.
         def extract_seed(frame):
             seed_prefix = "HESE_VHESelfVeto"
@@ -86,7 +86,7 @@ def extract_seed(frame):
         # If HESE_VHESelfVeto is already in the frame, is likely using implicitly a VertexThreshold of 250 already. To be determined when this is not the case.
         tray.AddModule('VHESelfVeto', 'selfveto',
                     VertexThreshold=2,
-                    Pulses=pulsesName+'HLC',
+                    Pulses=cfg.INPUT_PULSES_NAME+'HLC',
                     OutputBool='HESE_VHESelfVeto',
                     OutputVertexTime=cfg.INPUT_TIME_NAME,
                     OutputVertexPos=cfg.INPUT_POS_NAME,

skymap_scanner/recos/millipede_wilks.py

@@ -83,7 +83,7 @@ def setup_reco(self):
 
     @classmethod
     @icetray.traysegment
-    def prepare_frames(cls, tray, name, logger, pulsesName):
+    def prepare_frames(cls, tray, name, logger):
         # Generates the vertex seed for the initial scan. 
         # Only run if HESE_VHESelfVeto is not present in the frame.
         # VertexThreshold is 250 in the original HESE analysis (Tianlu)
@@ -98,7 +98,7 @@ def extract_seed(frame):
 
         tray.AddModule('VHESelfVeto', 'selfveto',
             VertexThreshold=250,
-            Pulses=pulsesName+'HLC',
+            Pulses=cfg.INPUT_PULSES_NAME+'HLC',
             OutputBool='HESE_VHESelfVeto',
             OutputVertexTime=cfg.INPUT_TIME_NAME,
             OutputVertexPos=cfg.INPUT_POS_NAME,
@@ -107,14 +107,14 @@ def extract_seed(frame):
         # this only runs if the previous module did not return anything
         tray.AddModule('VHESelfVeto', 'selfveto-emergency-lowen-settings',
                        VertexThreshold=5,
-                       Pulses=pulsesName+'HLC',
+                       Pulses=cfg.INPUT_PULSES_NAME+'HLC',
                        OutputBool='VHESelfVeto_meaningless_lowen',
                        OutputVertexTime=cfg.INPUT_TIME_NAME,
                        OutputVertexPos=cfg.INPUT_POS_NAME,
                        If=lambda frame: not frame.Has("HESE_VHESelfVeto"))
 
 
-        tray.Add(mask_deepcore, origpulses=pulsesName, maskedpulses=cls.pulsesName)
+        tray.Add(mask_deepcore, origpulses=cfg.INPUT_PULSES_NAME, maskedpulses=cls.pulsesName)
 
     @staticmethod
     def makeSurePulsesExist(frame, pulsesName) -> None:

skymap_scanner/recos/splinempe.py

@@ -130,7 +130,7 @@ def get_steps():
 
     @classmethod
     @traysegment
-    def prepare_frames(cls, tray, name: str, logger, pulsesName) -> None:
+    def prepare_frames(cls, tray, name: str, logger) -> None:
         # =========================================================
         # PULSE CLEANING
         # From "SplitUncleanedInIcePulses" to "CleanedMuonPulses".
@@ -191,6 +191,10 @@ def notify_muex(frame):
         def log_frame(frame):
             logger.debug(f"{repr(frame)}/{frame}")
 
+        tray.Add("Copy",
+                 Keys=["l2_online_BestFit", cls.energy_reco_seed],
+                 If=lambda f: f.Has("l2_online_BestFit") and not f.Has(cls.energy_reco_seed))
+
         # From icetray/filterscript/python/onlinel2filter.py
         tray.AddModule(
             "muex",

skymap_scanner/server/start_scan.py

@@ -691,16 +691,17 @@ def _nside_and_pixelextension(val: str) -> Tuple[int, int]:
         event_contents = fetch_event_contents_from_file(args.event_file)
 
     # get inputs (load event_id + state_dict cache)
+    LOGGER.info("Extracting event...")
     event_metadata, state_dict = extract_json_message.extract_json_message(
         event_contents,
         reco_algo=args.reco_algo,
         is_real_event=args.real_event,
         cache_dir=str(args.cache_dir),
         GCD_dir=str(args.gcd_dir),
-        pulsesName=cfg.INPUT_PULSES_NAME,
     )
 
     # write startup files for client-spawning
+    LOGGER.info("Writing startup JSON...")
     scan_id = write_startup_json(
         args.client_startup_json,
         event_metadata,

skymap_scanner/server/utils.py

@@ -82,7 +82,7 @@ async def fetch_event_contents_from_skydriver() -> Any:
     return manifest["event_i3live_json_dict"]
 
 
-def fetch_event_contents_from_file(event_file: Optional[Path]) -> Any:
+def fetch_event_contents_from_file(event_file: Optional[Path]) -> dict:
     """Fetch event contents from file (.json or .pkl)."""
     if not event_file:
         raise RuntimeError(

skymap_scanner/utils/data_handling.py

@@ -42,12 +42,12 @@ def stage_files(self, file_list: List[str]):
                     LOGGER.debug("File is available on staging path.")
                 else:
                     LOGGER.debug("Staging from HTTP source.")
-                    self.stage_file(basename)
+                    self.fetch_file(basename)
 
             else:
                 LOGGER.debug(f"File {basename} is available at {filepath}.")
 
-    def stage_file(self, basename: str):
+    def fetch_file(self, basename: str):
         """Retrieves a file from the HTTP source.
 
         Args:
@@ -120,3 +120,11 @@ def get_local_filepath(self, filename: str) -> str:
                 LOGGER.debug(f"-> fail.")
                 # File was not found in local paths.
         raise FileNotFoundError(f"File {filename} is not available on any local path.")
+
+
+def get_gcd_datastager() -> DataStager:
+    return DataStager(
+        local_paths=cfg.LOCAL_GCD_DATA_SOURCES,
+        local_subdir=cfg.LOCAL_GCD_SUBDIR,
+        remote_path=cfg.REMOTE_GCD_DATA_SOURCE,
+    )