Merge branch 'tickets/DM-45750'

README.md

@@ -23,7 +23,7 @@ path                  | description
 `config`              | Dataset-specific configs to help Stack code work with this dataset.
 `pipelines`           | Dataset-specific pipelines to run on this dataset.
 `dataIds.list`        | List of dataIds in this repo. For use in running Tasks. Currently set to run all Ids.
-`preloaded`           | A Gen 3 Butler repository containing HSC master calibs from the 2016 COSMOS campaign (or, where necessary, from 2015), coadded images for use as differencing templates, PS1 reference catalog in HTM format for regions overlapping any visit in the dataset, and a pretrained machine learning model for real/bogus classification.
+`preloaded`           | A Gen 3 Butler repository containing HSC master calibs from the 2016 COSMOS campaign (or, where necessary, from 2015), coadded images for use as differencing templates, PS1 reference catalog in HTM format for regions overlapping any visit in the dataset, mock APDB outputs based on the raw images, and a pretrained machine learning model for real/bogus classification.
 `scripts`             | Scripts and data for generating this dataset.
 
 

doc/ap_verify_ci_cosmos_pdr2/index.rst

@@ -32,6 +32,7 @@ It contains:
 * biases, darks, brighter-fatter kernels, and g-band flats.
 * reference catalogs for Pan-STARRS1, covering the raw images' footprint.
 * image differencing templates coadded from 2014 COSMOS data, covering the raw images' footprint.
+* mock APDB catalogs based on processing the raw images in order
 * the rbResnet50-DC2 pretrained machine learning model for real/bogus classification
 
 .. _ap_verify_ci_cosmos_pdr2-contributing:

pipelines/Ephemerides.yaml

@@ -1,4 +1,8 @@
 description: Pipeline for downloading solar system ephemerides given raw images
 instrument: lsst.obs.subaru.HyperSuprimeCam
 tasks:
-  SkyBotEphemerisQuery: lsst.ap.association.skyBotEphemerisQuery.SkyBotEphemerisQueryTask
+  getRegionTimeFromVisit:
+    class: lsst.pipe.tasks.getRegionTimeFromVisit.GetRegionTimeFromVisitTask
+    config:
+      connections.dummy_visit = visit_dummy
+  mpSkyEphemerisQuery: lsst.ap.association.MPSkyEphemerisQueryTask

scripts/generate_ephemerides_gen3.py

@@ -25,6 +25,9 @@
 
 Running this script allows for updates to the ephemerides to be incorporated
 into the dataset.
+
+This script takes no command-line arguments; it infers everything it needs from
+the `preloaded/` repository.
 """
 
 import glob
@@ -34,9 +37,11 @@
 import sys
 import tempfile
 
+import pandas
+
 import lsst.log
 import lsst.sphgeom
-from lsst.daf.butler import Butler, FileDataset
+from lsst.daf.butler import Butler, CollectionType, DatasetType
 import lsst.obs.base
 
 
@@ -46,12 +51,14 @@
 
 # Avoid explicit references to dataset package to maximize portability.
 SCRIPT_DIR = os.path.abspath(os.path.dirname(__file__))
-PIPE_DIR = os.path.join(SCRIPT_DIR, "..", "pipelines")
-RAW_DIR = os.path.join(SCRIPT_DIR, "..", "raw")
+PIPE_DIR = os.path.normpath(os.path.join(SCRIPT_DIR, "..", "pipelines"))
+RAW_DIR = os.path.normpath(os.path.join(SCRIPT_DIR, "..", "raw"))
 RAW_RUN = "raw"
-EPHEM_DATASET = "visitSsObjects"
-DEST_DIR = os.path.join(SCRIPT_DIR, "..", "preloaded")
-DEST_RUN = "sso/cached"
+VISIT_DATASET = "visit_dummy"
+EPHEM_DATASET = "preloaded_SsObjects"
+DEST_DIR = os.path.normpath(os.path.join(SCRIPT_DIR, "..", "preloaded"))
+DEST_COLLECTION = "sso"
+DEST_RUN = DEST_COLLECTION + "/mpsky"
 
 
 ########################################
@@ -99,7 +106,7 @@ def _make_repo_with_instruments(repo_dir, instruments):
 
 
 ########################################
-# Ingest raws (needed for visitinfo)
+# Ingest raws (needed for visit records)
 
 def _ingest_raws(repo, raw_dir, run):
     """Ingest this dataset's raws into a specific repo.
@@ -121,11 +128,33 @@ def _ingest_raws(repo, raw_dir, run):
     definer.run(exposures)
 
 
+########################################
+# Dummy pipeline inputs
+
+def _make_visit_datasets(repo, run):
+    """Create stub datasets for running GetRegionTimeFromVisitTask.
+
+    Parameters
+    ---------
+    repo : `lsst.daf.butler.Butler`
+        A writeable Butler in which to create datasets.
+    run : `str`
+        The name of the run into which to create datasets.
+    """
+    dummy_type = DatasetType(VISIT_DATASET, {"instrument", "visit", "detector"}, "DataFrame")
+    repo.registry.registerDatasetType(dummy_type)
+    # Exclude unused detectors
+    data_ids = {ref.dataId for ref in repo.query_datasets("raw", collections="*", find_first=False)}
+    exp_table = pandas.DataFrame()
+    for id in data_ids:
+        repo.put(exp_table, dummy_type, id, run=run)
+
+
 ########################################
 # Download ephemerides
 
 def _get_ephem(repo_dir, raw_collection, ephem_collection):
-    """Run the task for downloading ephemerides.
+    """Run the tasks for downloading ephemerides.
 
     Parameters
     ----------
@@ -175,25 +204,12 @@ def _transfer_ephems(ephem_type, src_repo, src_dir, run, dest_repo):
     dest_repo : `lsst.daf.butler.Butler`
         The repository to which to copy the datasets.
     """
-    # Need to transfer visit definitions as well; Butler.export is the easiest
+    # Need to transfer group definitions as well; Butler.export is the easiest
     # way to do this.
     with tempfile.NamedTemporaryFile(suffix=".yaml") as export_file:
         with src_repo.export(filename=export_file.name, transfer=None) as contents:
             contents.saveDatasets(src_repo.registry.queryDatasets(ephem_type, collections=run),
-                                  elements=["visit"])
-            # Because of how the temp repo was constructed, there should not be
-            # any visit/exposure records other than those needed to support the
-            # ephemerides datasets.
-            contents.saveDimensionData("visit_system",
-                                       src_repo.registry.queryDimensionRecords("visit_system"))
-            contents.saveDimensionData("visit",
-                                       src_repo.registry.queryDimensionRecords("visit"))
-            contents.saveDimensionData("exposure",
-                                       src_repo.registry.queryDimensionRecords("exposure"))
-            contents.saveDimensionData("visit_definition",
-                                       src_repo.registry.queryDimensionRecords("visit_definition"))
-            contents.saveDimensionData("visit_detector_region",
-                                       src_repo.registry.queryDimensionRecords("visit_detector_region"))
+                                  elements=["group"])
             # runs included automatically by saveDatasets
         dest_repo.import_(directory=src_dir, filename=export_file.name, transfer="copy")
 
@@ -206,12 +222,15 @@ def _transfer_ephems(ephem_type, src_repo, src_dir, run, dest_repo):
     temp_repo = _make_repo_with_instruments(workspace, _get_instruments(DEST_DIR))
     logging.info("Ingesting raws...")
     _ingest_raws(temp_repo, RAW_DIR, RAW_RUN)
+    _make_visit_datasets(temp_repo, RAW_RUN)
     logging.info("Downloading ephemerides...")
     _get_ephem(workspace, RAW_RUN, DEST_RUN)
     temp_repo.registry.refresh()    # Pipeline added dataset types
     preloaded = Butler(DEST_DIR, writeable=True)
     logging.debug("Preloaded repo has universe version %d.", preloaded.dimensions.version)
     logging.info("Transferring ephemerides to dataset...")
     _transfer_ephems(EPHEM_DATASET, temp_repo, workspace, DEST_RUN, preloaded)
+preloaded.registry.registerCollection(DEST_COLLECTION, CollectionType.CHAINED)
+preloaded.registry.setCollectionChain(DEST_COLLECTION, [DEST_RUN])
 
-logging.info("Solar system catalogs copied to %s:%s", DEST_DIR, DEST_RUN)
+logging.info("Solar system catalogs copied to %s:%s", DEST_DIR, DEST_COLLECTION)