From aeffc8a69521bdf423aa10e1eca81aaf24c4ec6e Mon Sep 17 00:00:00 2001 From: Krzysztof Findeisen Date: Wed, 9 Oct 2024 11:51:52 -0700 Subject: [PATCH 1/6] Modernize ephemerides script. This commit copies innovations from the dataset template, including canonical paths and automated management of the `sso` chained collection. These changes make it easier to apply new improvements. --- scripts/generate_ephemerides_gen3.py | 16 +++++++++++----- 1 file changed, 11 insertions(+), 5 deletions(-) diff --git a/scripts/generate_ephemerides_gen3.py b/scripts/generate_ephemerides_gen3.py index 58896320..5dcc6217 100644 --- a/scripts/generate_ephemerides_gen3.py +++ b/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 @@ -36,7 +39,7 @@ import lsst.log import lsst.sphgeom -from lsst.daf.butler import Butler, FileDataset +from lsst.daf.butler import Butler, CollectionType import lsst.obs.base @@ -46,11 +49,12 @@ # 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_DIR = os.path.normpath(os.path.join(SCRIPT_DIR, "..", "preloaded")) +DEST_COLLECTION = "sso" DEST_RUN = "sso/cached" @@ -213,5 +217,7 @@ def _transfer_ephems(ephem_type, src_repo, src_dir, run, dest_repo): 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) From fd52559367726cd12e21905dbd7e6b205983c94e Mon Sep 17 00:00:00 2001 From: Krzysztof Findeisen Date: Wed, 9 Oct 2024 12:06:54 -0700 Subject: [PATCH 2/6] Run MPSkyEphemerisQueryTask in generate_ephemerides_gen3.py. The changes to this script are **untested**, because at present the MPSky service can't handle HSC. --- pipelines/Ephemerides.yaml | 6 +++- scripts/generate_ephemerides_gen3.py | 53 +++++++++++++++++----------- 2 files changed, 38 insertions(+), 21 deletions(-) diff --git a/pipelines/Ephemerides.yaml b/pipelines/Ephemerides.yaml index 0375ded1..7a932ee1 100644 --- a/pipelines/Ephemerides.yaml +++ b/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 diff --git a/scripts/generate_ephemerides_gen3.py b/scripts/generate_ephemerides_gen3.py index 5dcc6217..f9441ec5 100644 --- a/scripts/generate_ephemerides_gen3.py +++ b/scripts/generate_ephemerides_gen3.py @@ -37,9 +37,11 @@ import sys import tempfile +import pandas + import lsst.log import lsst.sphgeom -from lsst.daf.butler import Butler, CollectionType +from lsst.daf.butler import Butler, CollectionType, DatasetType import lsst.obs.base @@ -52,10 +54,11 @@ 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" +VISIT_DATASET = "visit_dummy" +EPHEM_DATASET = "preloaded_SsObjects" DEST_DIR = os.path.normpath(os.path.join(SCRIPT_DIR, "..", "preloaded")) DEST_COLLECTION = "sso" -DEST_RUN = "sso/cached" +DEST_RUN = DEST_COLLECTION + "/mpsky" ######################################## @@ -103,7 +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. @@ -125,11 +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 ---------- @@ -179,25 +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") @@ -210,6 +222,7 @@ 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 From dd3406b7e4539c5687d676f0dfd4705fae56c9f4 Mon Sep 17 00:00:00 2001 From: Krzysztof Findeisen Date: Wed, 9 Oct 2024 13:44:20 -0700 Subject: [PATCH 3/6] Convert visitSsObjects catalogs into preloaded_SsObjects. The catalogs have the same format, differing only in dimensionality. This is less efficient than creating a per-detector catalog from scratch, but should let ap_verify data sets keep working until MPSky supports general observatories. --- preloaded/gen3.sqlite3 | 2 +- ..._SsObjects_HSC_59134_1_42_sso_cached.parq} | Bin 23744 -> 23742 bytes ...d_SsObjects_HSC_59134_1_43_sso_cached.parq | Bin 0 -> 23742 bytes ...d_SsObjects_HSC_59134_1_53_sso_cached.parq | Bin 0 -> 23742 bytes ..._SsObjects_HSC_59142_1_37_sso_cached.parq} | Bin 24008 -> 24015 bytes ...d_SsObjects_HSC_59142_1_43_sso_cached.parq | Bin 0 -> 24015 bytes ...d_SsObjects_HSC_59142_1_53_sso_cached.parq | Bin 0 -> 24015 bytes ..._SsObjects_HSC_59150_1_12_sso_cached.parq} | Bin 22551 -> 22569 bytes ...d_SsObjects_HSC_59150_1_16_sso_cached.parq | Bin 0 -> 22569 bytes ..._SsObjects_HSC_59160_1_09_sso_cached.parq} | Bin 22327 -> 22326 bytes ...d_SsObjects_HSC_59160_1_13_sso_cached.parq | Bin 0 -> 22326 bytes 11 files changed, 1 insertion(+), 1 deletion(-) rename preloaded/sso/cached/{visitSsObjects/20160307/g/HSC-G/59134/visitSsObjects_HSC_g_HSC-G_59134_sso_cached.parq => preloaded_SsObjects/59134/preloaded_SsObjects_HSC_59134_1_42_sso_cached.parq} (65%) create mode 100644 preloaded/sso/cached/preloaded_SsObjects/59134/preloaded_SsObjects_HSC_59134_1_43_sso_cached.parq create mode 100644 preloaded/sso/cached/preloaded_SsObjects/59134/preloaded_SsObjects_HSC_59134_1_53_sso_cached.parq rename preloaded/sso/cached/{visitSsObjects/20160307/g/HSC-G/59142/visitSsObjects_HSC_g_HSC-G_59142_sso_cached.parq => preloaded_SsObjects/59142/preloaded_SsObjects_HSC_59142_1_37_sso_cached.parq} (65%) create mode 100644 preloaded/sso/cached/preloaded_SsObjects/59142/preloaded_SsObjects_HSC_59142_1_43_sso_cached.parq create mode 100644 preloaded/sso/cached/preloaded_SsObjects/59142/preloaded_SsObjects_HSC_59142_1_53_sso_cached.parq rename preloaded/sso/cached/{visitSsObjects/20160307/g/HSC-G/59150/visitSsObjects_HSC_g_HSC-G_59150_sso_cached.parq => preloaded_SsObjects/59150/preloaded_SsObjects_HSC_59150_1_12_sso_cached.parq} (64%) create mode 100644 preloaded/sso/cached/preloaded_SsObjects/59150/preloaded_SsObjects_HSC_59150_1_16_sso_cached.parq rename preloaded/sso/cached/{visitSsObjects/20160307/g/HSC-G/59160/visitSsObjects_HSC_g_HSC-G_59160_sso_cached.parq => preloaded_SsObjects/59160/preloaded_SsObjects_HSC_59160_1_09_sso_cached.parq} (66%) create mode 100644 preloaded/sso/cached/preloaded_SsObjects/59160/preloaded_SsObjects_HSC_59160_1_13_sso_cached.parq diff --git a/preloaded/gen3.sqlite3 b/preloaded/gen3.sqlite3 index 68444a30..6bbc5aa5 100644 --- a/preloaded/gen3.sqlite3 +++ b/preloaded/gen3.sqlite3 @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:49ca9ea0d5962eed2a0e06e609f8ef794e5711c32e06475c646a19b05e607ad4 +oid sha256:130f853a98252af9c1147bf5096569b472175bde9a66e6a67619f6416fb98049 size 3092480 diff --git 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zq#2lS>lFq2`6uUZXFslgMB?Lmg&#k(b-by?ADiuGH=gsCuqSI=Q(Wu#*#9t|KYs}$ z`C}cEDU<_#f9_Ti87RuyC8da*N#7{yA_P z9F~-9%af)^uK$2>@W!oQaBvdW-KIpF_2!|{yg!8IkUXwG^`G?PIEA&G)0j*(Tz|j= zFaywJa;I1jfOzHj`N3t2d``)>{>ICXstJy_r1S9$rk2>;9u$NriL&hSF;%&h0Xb!5 j0sILf(R{?n{q-t1e1zwg;EAsP!9T2@3d0iMFXsL~g9JTx literal 0 HcmV?d00001 From 1227472e21c66ac4dc2a8f0842eabe8af9b35a51 Mon Sep 17 00:00:00 2001 From: Krzysztof Findeisen Date: Thu, 10 Oct 2024 12:19:50 -0700 Subject: [PATCH 4/6] Add script for generating APDB catalogs from internal data. This script takes a long time to run, because it simulates ApPipe execution visit by visit. --- scripts/generate_self_preload.py | 254 +++++++++++++++++++++++++++++++ 1 file changed, 254 insertions(+) create mode 100644 scripts/generate_self_preload.py diff --git a/scripts/generate_self_preload.py b/scripts/generate_self_preload.py new file mode 100644 index 00000000..e45bbc89 --- /dev/null +++ b/scripts/generate_self_preload.py @@ -0,0 +1,254 @@ +#!/usr/bin/env python +# This file is part of ap_verify_ci_hits2015. +# +# Developed for the LSST Data Management System. +# This product includes software developed by the LSST Project +# (https://www.lsst.org). +# See the COPYRIGHT file at the top-level directory of this distribution +# for details of code ownership. +# +# This program is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation, either version 3 of the License, or +# (at your option) any later version. +# +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. +# +# You should have received a copy of the GNU General Public License +# along with this program. If not, see . + +"""Script for simulating the APDB preloads generated by associating this +dataset's observations. + +This script assumes visits are processed in ascending numerical order, with no +prior history. Prior sources must be provided through a different script. + +This script requires that all other input datasets are already in preloaded/, +but does not require that export.yaml be up to date. It (or rather, the +pipeline configs) require that the repository be set up. + +This script takes roughly 17 minutes to run on rubin-devl. +""" + +import glob +import logging +import os +import subprocess +import sys +import tempfile + +import lsst.log +from lsst.daf.butler import Butler, CollectionType, MissingCollectionError +import lsst.obs.base +import lsst.dax.apdb + + +logging.basicConfig(level=logging.INFO, stream=sys.stdout) +lsst.log.configure_pylog_MDC("DEBUG", MDC_class=None) + + +# 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") +RAW_RUN = "raw" +PRELOAD_TYPES = ["preloaded_*"] +DEST_DIR = os.path.join(SCRIPT_DIR, "..", "preloaded") +DEST_COLLECTION = "dia_catalogs" +DEST_RUN = DEST_COLLECTION + "/apdb" + + +######################################## +# Processing steps + +def _clear_preloaded(butler): + """Remove preloaded datasets from the collection's chain. + + If it exists, ``DEST_RUN`` is removed entirely to keep it from interfering + with the rest of this script. Other runs are merely unlinked in case they + would still be useful. + + Parameters + ---------- + butler : `lsst.daf.butler.Butler` + A writeable Butler pointing to this repository. + """ + try: + butler.collections.redefine_chain(DEST_COLLECTION, []) + except MissingCollectionError: + # No preloaded datasets to begin with + return + butler.removeRuns([DEST_RUN], unstore=True) + + +def _copy_repo_to(src_butler, repo_dir): + """Create a repository that's a copy of this one. + + Parameters + ---------- + src_butler : `lsst.daf.butler.Butler` + A Butler pointing to this repository. + repo_dir : `str` + The directory in which to create the new repository. + + Returns + ------- + butler : `lsst.daf.butler.Butler` + A writeable Butler to the new repo. + """ + # Don't use ap_verify code, to avoid dependency on potentially out-of-date export.yaml + repo_config = Butler.makeRepo(repo_dir) + dest_butler = Butler(repo_config, writeable=True) + logging.debug("Temporary repo has universe version %d.", dest_butler.dimensions.version) + # Use export/import to preserve chained and calibration collections + with tempfile.NamedTemporaryFile(suffix=".yaml") as export_file: + with src_butler.export(filename=export_file.name, transfer=None) as contents: + for t in src_butler.registry.queryDatasetTypes(): + contents.saveDatasets( + src_butler.query_datasets(t, collections="*", find_first=False, explain=False)) + # runs and dimensions included automatically + for coll in src_butler.collections.query("*", include_chains=True): + contents.saveCollection(coll) + dest_butler.import_(directory=DEST_DIR, filename=export_file.name, transfer="auto") + return dest_butler + + +def _ingest_raws(repo, raw_dir, run): + """Ingest this dataset's raws into a specific repo. + + Parameters + --------- + repo : `lsst.daf.butler.Butler` + A writeable Butler for the repository to ingest into. + raw_dir : `str` + The directory containing raw files. + run : `str` + The name of the run into which to import the raws. + """ + raws = glob.glob(os.path.join(raw_dir, '**', '*.fits*'), recursive=True) + ingester = lsst.obs.base.RawIngestTask(butler=repo, config=lsst.obs.base.RawIngestConfig()) + ingester.run(raws, run=run) + exposures = set(repo.registry.queryDataIds(["exposure"])) + definer = lsst.obs.base.DefineVisitsTask(butler=repo, config=lsst.obs.base.DefineVisitsConfig()) + definer.run(exposures) + + +def _check_pipeline(butler): + """Confirm that the pipeline is correctly configured. + + Parameters + ---------- + butler : `lsst.daf.butler.Butler` + A Butler pointing to this repository. + """ + pipeline_file = os.path.join(PIPE_DIR, "ApPipe.yaml") + pipeline = lsst.pipe.base.Pipeline.fromFile(pipeline_file) + pipeline.addConfigOverride("parameters", "apdb_config", "foo") + # Check that the configs load correctly; raises if there's a setup missing + pipeline.to_graph() + + +def _build_catalogs(repo_dir, input_collections, output_collection): + """Simulate an AP pipeline run. + + Parameters + ---------- + repo_dir : `str` + The repository on which to run the task. + input_collections : iterable [`str`] + The collection containing inputs. + output_collection : `str` + The collection into which to generate preloaded catalogs. + + Raises + ------ + RuntimeError + Raised on any pipeline failure. + """ + # Should be only one instrument + butler = Butler(repo_dir) + instrument = butler.query_data_ids("instrument")[0]["instrument"] + visits = [coord["visit"] for coord in butler.query_data_ids("visit")] + pipeline_file = os.path.join(PIPE_DIR, "ApPipe.yaml") + + # Create temporary APDB + apdb_location = f"sqlite:///{repo_dir}/apdb.db" + logging.debug("Creating apdb at %s...", apdb_location) + apdb_config = lsst.dax.apdb.ApdbSql.init_database(db_url=apdb_location) + + with tempfile.NamedTemporaryFile(suffix=".py") as config_file: + apdb_config.save(config_file.name) + + # Guarantee execution in observation order + run_exists = False + for visit in sorted(visits): + logging.info("Generating catalogs for visit %d...", visit) + pipeline_args = ["pipetask", "run", + "--butler-config", repo_dir, + "--pipeline", pipeline_file, + "--config", f"parameters:apdb_config='{config_file.name}'", + "--input", ",".join(input_collections), + # Can reuse collection as long as data IDs don't overlap + "--output-run", output_collection, + "--data-query", f"instrument='{instrument}' and visit={visit}", + "--processes", "6", + "--register-dataset-types", + ] + if run_exists: + pipeline_args.append("--extend-run") + results = subprocess.run(pipeline_args, capture_output=False, shell=False, check=False) + run_exists = True + if results.returncode: + raise RuntimeError("Pipeline failed to run; see log for details.") + + +def _transfer_catalogs(catalog_types, src_repo, run, dest_repo): + """Copy preloaded catalogs between two repositories. + + Parameters + ---------- + catalog_types : iterable [`str`] + A query expression for dataset types for preloaded catalogs. + src_repo : `lsst.daf.butler.Butler` + The repository from which to copy the datasets. + run : `str` + The name of the run containing the catalogs in both ``src_repo`` + and ``dest_repo``. + dest_repo : `lsst.daf.butler.Butler` + The repository to which to copy the datasets. + """ + expanded_types = src_repo.registry.queryDatasetTypes(catalog_types) + datasets = set() + for t in expanded_types: + datasets.update(src_repo.query_datasets(t, collections=run, explain=False)) + dest_repo.transfer_from(src_repo, datasets, transfer="copy", + register_dataset_types=True, transfer_dimensions=True) + + +######################################## +# Put everything together + +preloaded = Butler(DEST_DIR, writeable=True) +_check_pipeline(preloaded) +logging.info("Removing old catalogs...") +_clear_preloaded(preloaded) +logging.info("Creating temporary repository...") +with tempfile.TemporaryDirectory() as workspace: + temp_repo = _copy_repo_to(preloaded, workspace) + logging.info("Ingesting raws...") + _ingest_raws(temp_repo, RAW_DIR, RAW_RUN) + logging.info("Simulating DIA analysis...") + inst_name = temp_repo.query_data_ids("instrument")[0]["instrument"] + instrument = lsst.obs.base.Instrument.fromName(inst_name, temp_repo.registry) + _build_catalogs(workspace, [RAW_RUN, instrument.makeUmbrellaCollectionName()], DEST_RUN) + temp_repo.registry.refresh() # Pipeline added dataset types + logging.debug("Preloaded repo has universe version %d.", preloaded.dimensions.version) + logging.info("Transferring catalogs to data set...") + _transfer_catalogs(PRELOAD_TYPES, temp_repo, DEST_RUN, preloaded) +preloaded.collections.register(DEST_COLLECTION, CollectionType.CHAINED) +preloaded.collections.prepend_chain(DEST_COLLECTION, DEST_RUN) + +logging.info("Preloaded APDB catalogs copied to %s:%s", DEST_DIR, DEST_COLLECTION) From fdb06c528f6874afdce26c099c85fac15daf826e Mon Sep 17 00:00:00 2001 From: Krzysztof Findeisen Date: Thu, 10 Oct 2024 12:22:37 -0700 Subject: [PATCH 5/6] Add preloaded APDB catalogs. These catalogs are generated visit-by-visit from scratch, so the visit 59134 catalogs are empty. --- README.md | 2 +- config/export.yaml | 9085 +++++++---------- doc/ap_verify_ci_cosmos_pdr2/index.rst | 1 + ...rces_HSC_59134_1_42_dia_catalogs_apdb.parq | Bin 0 -> 8885 bytes ...rces_HSC_59134_1_43_dia_catalogs_apdb.parq | Bin 0 -> 8885 bytes ...rces_HSC_59134_1_53_dia_catalogs_apdb.parq | Bin 0 -> 8885 bytes ...rces_HSC_59142_1_37_dia_catalogs_apdb.parq | Bin 0 -> 23329 bytes ...rces_HSC_59142_1_43_dia_catalogs_apdb.parq | Bin 0 -> 22641 bytes ...rces_HSC_59142_1_53_dia_catalogs_apdb.parq | Bin 0 -> 27467 bytes ...rces_HSC_59150_1_12_dia_catalogs_apdb.parq | Bin 0 -> 20525 bytes ...rces_HSC_59150_1_16_dia_catalogs_apdb.parq | Bin 0 -> 33414 bytes ...rces_HSC_59160_1_09_dia_catalogs_apdb.parq | Bin 0 -> 22238 bytes ...rces_HSC_59160_1_13_dia_catalogs_apdb.parq | Bin 0 -> 43072 bytes ...ects_HSC_59134_1_42_dia_catalogs_apdb.parq | Bin 0 -> 103268 bytes ...ects_HSC_59134_1_43_dia_catalogs_apdb.parq | Bin 0 -> 103268 bytes ...ects_HSC_59134_1_53_dia_catalogs_apdb.parq | Bin 0 -> 103268 bytes ...ects_HSC_59142_1_37_dia_catalogs_apdb.parq | Bin 0 -> 137604 bytes ...ects_HSC_59142_1_43_dia_catalogs_apdb.parq | Bin 0 -> 137891 bytes ...ects_HSC_59142_1_53_dia_catalogs_apdb.parq | Bin 0 -> 145716 bytes ...ects_HSC_59150_1_12_dia_catalogs_apdb.parq | Bin 0 -> 133187 bytes ...ects_HSC_59150_1_16_dia_catalogs_apdb.parq | Bin 0 -> 149343 bytes ...ects_HSC_59160_1_09_dia_catalogs_apdb.parq | Bin 0 -> 135056 bytes ...ects_HSC_59160_1_13_dia_catalogs_apdb.parq | Bin 0 -> 158610 bytes ...rces_HSC_59134_1_42_dia_catalogs_apdb.parq | Bin 0 -> 76155 bytes ...rces_HSC_59134_1_43_dia_catalogs_apdb.parq | Bin 0 -> 76155 bytes ...rces_HSC_59134_1_53_dia_catalogs_apdb.parq | Bin 0 -> 76155 bytes ...rces_HSC_59142_1_37_dia_catalogs_apdb.parq | Bin 0 -> 118383 bytes ...rces_HSC_59142_1_43_dia_catalogs_apdb.parq | Bin 0 -> 119881 bytes ...rces_HSC_59142_1_53_dia_catalogs_apdb.parq | Bin 0 -> 131191 bytes ...rces_HSC_59150_1_12_dia_catalogs_apdb.parq | Bin 0 -> 114223 bytes ...rces_HSC_59150_1_16_dia_catalogs_apdb.parq | Bin 0 -> 138032 bytes ...rces_HSC_59160_1_09_dia_catalogs_apdb.parq | Bin 0 -> 117222 bytes ...rces_HSC_59160_1_13_dia_catalogs_apdb.parq | Bin 0 -> 160815 bytes preloaded/gen3.sqlite3 | 2 +- 34 files changed, 3552 insertions(+), 5538 deletions(-) create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaForcedSources/59134/preloaded_diaForcedSources_HSC_59134_1_42_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaForcedSources/59134/preloaded_diaForcedSources_HSC_59134_1_43_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaForcedSources/59134/preloaded_diaForcedSources_HSC_59134_1_53_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaForcedSources/59142/preloaded_diaForcedSources_HSC_59142_1_37_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaForcedSources/59142/preloaded_diaForcedSources_HSC_59142_1_43_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaForcedSources/59142/preloaded_diaForcedSources_HSC_59142_1_53_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaForcedSources/59150/preloaded_diaForcedSources_HSC_59150_1_12_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaForcedSources/59150/preloaded_diaForcedSources_HSC_59150_1_16_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaForcedSources/59160/preloaded_diaForcedSources_HSC_59160_1_09_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaForcedSources/59160/preloaded_diaForcedSources_HSC_59160_1_13_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaObjects/59134/preloaded_diaObjects_HSC_59134_1_42_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaObjects/59134/preloaded_diaObjects_HSC_59134_1_43_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaObjects/59134/preloaded_diaObjects_HSC_59134_1_53_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaObjects/59142/preloaded_diaObjects_HSC_59142_1_37_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaObjects/59142/preloaded_diaObjects_HSC_59142_1_43_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaObjects/59142/preloaded_diaObjects_HSC_59142_1_53_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaObjects/59150/preloaded_diaObjects_HSC_59150_1_12_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaObjects/59150/preloaded_diaObjects_HSC_59150_1_16_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaObjects/59160/preloaded_diaObjects_HSC_59160_1_09_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaObjects/59160/preloaded_diaObjects_HSC_59160_1_13_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaSources/59134/preloaded_diaSources_HSC_59134_1_42_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaSources/59134/preloaded_diaSources_HSC_59134_1_43_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaSources/59134/preloaded_diaSources_HSC_59134_1_53_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaSources/59142/preloaded_diaSources_HSC_59142_1_37_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaSources/59142/preloaded_diaSources_HSC_59142_1_43_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaSources/59142/preloaded_diaSources_HSC_59142_1_53_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaSources/59150/preloaded_diaSources_HSC_59150_1_12_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaSources/59150/preloaded_diaSources_HSC_59150_1_16_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaSources/59160/preloaded_diaSources_HSC_59160_1_09_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaSources/59160/preloaded_diaSources_HSC_59160_1_13_dia_catalogs_apdb.parq diff --git a/README.md b/README.md index 743b1501..693c2a8f 100644 --- a/README.md +++ b/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. diff --git a/config/export.yaml b/config/export.yaml index 5ad9b21c..b7ebcb86 100644 --- a/config/export.yaml +++ b/config/export.yaml @@ -928,2331 +928,6 @@ data: cell_y: 5 region: ! encoded: 70404675802793ebbfaf32053c562fe03f4ecd90a4bcb9a43fce6511e64ba1ebbf113a7b8c2517e03f1c59ea0deab9a43f85483a3945a0ebbf78ad18308f16e03f07e93341df79a63f84235ee02092ebbf1cd95acfbf2ee03f0093a602ae79a63f -- type: dimension - element: visit - records: - - instrument: HSC - id: 59134 - day_obs: 20160307 - physical_filter: HSC-G - name: HSCA05913400 - seq_num: 59134 - exposure_time: 180.0 - target_name: SSP-Deep-COSMOS - observation_reason: science - science_program: o16406 - azimuth: 111.029026 - zenith_angle: 39.18337617 - region: ! - encoded: 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 - datetime_begin: !butler_time/tai/iso '2016-03-07 06:54:45.067000000' - datetime_end: !butler_time/tai/iso '2016-03-07 06:57:46.945000000' - - instrument: HSC - id: 59142 - day_obs: 20160307 - physical_filter: HSC-G - name: HSCA05914200 - seq_num: 59142 - exposure_time: 180.0 - target_name: SSP-Deep-COSMOS - observation_reason: science - science_program: o16406 - azimuth: 114.00419014 - zenith_angle: 36.0631884 - region: ! - encoded: 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- datetime_begin: !butler_time/tai/iso '2016-03-07 07:09:19.901000000' - datetime_end: !butler_time/tai/iso '2016-03-07 07:12:21.898000000' - - instrument: HSC - id: 59150 - day_obs: 20160307 - physical_filter: HSC-G - name: HSCA05915000 - seq_num: 59150 - exposure_time: 300.0 - target_name: SSP-UDeep-COSMOS - observation_reason: science - science_program: o16406 - azimuth: null - zenith_angle: 33.74398292 - region: ! - encoded: 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- datetime_begin: !butler_time/tai/iso '2016-03-07 07:23:47.995000000' - datetime_end: !butler_time/tai/iso '2016-03-07 07:28:50.097000000' - - instrument: HSC - id: 59160 - day_obs: 20160307 - physical_filter: HSC-G - name: HSCA05916000 - seq_num: 59160 - exposure_time: 300.0 - target_name: SSP-UDeep-COSMOS - observation_reason: science - science_program: o16406 - azimuth: null - zenith_angle: 28.29241715 - region: ! - encoded: 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- datetime_begin: !butler_time/tai/iso '2016-03-07 07:51:38.930000000' - datetime_end: !butler_time/tai/iso '2016-03-07 07:56:40.930000000' -- type: dimension - element: visit_definition - records: - - instrument: HSC - exposure: 59134 - visit: 59134 - - instrument: HSC - exposure: 59142 - visit: 59142 - - instrument: HSC - exposure: 59150 - visit: 59150 - - instrument: HSC - exposure: 59160 - visit: 59160 -- type: dimension - element: visit_detector_region - records: - - instrument: HSC - detector: 0 - visit: 59134 - region: ! - encoded: 7049577cded697ebbf5f16b7117d27e03fee18fe6ae79ca43f13cdc3203c98ebbf9b794f140728e03f5749fa5048a3a33f632e4b972ca7ebbf0eb1470f570ee03f743f1030ecb0a33f9cda5020f2a6ebbf8f5ae5b1850de03f5ff4d516afa7a43f - - instrument: HSC - detector: 0 - visit: 59142 - region: ! - encoded: 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instrument: HSC - detector: 1 - visit: 59142 - region: ! - encoded: 704e87dc42478cebbf7f4c4807a83be03f5299aa89843aa43ff76e35a0ce8cebbf8fa981d7f23be03f8e4bc7831240a33f57f9883b149cebbfd2975fe2e621e03f49765b2f6444a33f75df92dbb29bebbf6d1789f15b21e03f38da26a1f03da43f - - instrument: HSC - detector: 1 - visit: 59150 - region: ! - encoded: 706bc74cd4b4b0ebbf630cdc279d03e03f99e937652f949c3f039fe98614b1ebbfe9e37694cf03e03fa340d2901a9f9a3fdef7135324c0ebbf6f46c5ba48d3df3f82cc7a98c3a79a3f05dbbef2e9bfebbf69de21d862d2df3f3359053b0d9b9c3f - - instrument: HSC - detector: 1 - visit: 59160 - region: ! - encoded: 70022442d7d6bfebbf2e95caccb1d1df3f63be3f7f4ba59d3fbbbd1f5a3ac0ebbf457286151ad2df3f15068b573ab09b3ff26dbbe730cfebbf4bf975b8a69ddf3fc32288dfe2b89b3f432a627cf2ceebbf37d89622bd9cdf3f0b599ad528ac9d3f - - instrument: HSC - detector: 2 - visit: 59134 - region: ! - encoded: 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instrument: HSC - detector: 3 - visit: 59134 - region: ! - encoded: 70d396ee006b6bebbf67e04f106472e03fb8104a6454a8a43f3257d3aa3f6cebbfdbffd6d92f72e03fc3d1c97fdcb1a33fe8491b80807bebbf2783c9ebb658e03f3b888524aea3a33f72385073d47aebbfc8d4e2f3a458e03fb8992d15319da43f - - instrument: HSC - detector: 3 - visit: 59142 - region: ! - encoded: 7098dcdfd7af6eebbffbad7f5c666de03f6d97e9511a49a43ffc8e88ff816febbf1ecbd089306de03f029e359fa052a33fd41eb5f0bd7eebbfb423f0aeb453e03f986a7cb17144a33fddcadf60147eebbfe1644850a453e03f73a45572f63da43f - - instrument: HSC - detector: 3 - visit: 59150 - region: ! - encoded: 70e059eada8793ebbf477389329a35e03fc64a332a72b19c3f07d311ee3194ebbfe81eabbf4b35e03f5353cb294ec49a3f620a884236a3ebbf0214fefcae1be03fb8e7ee8fdea79a3fc3c594b1b4a2ebbf812acb32b71be03f84a69bcf189b9c3f - - instrument: HSC - detector: 3 - visit: 59160 - region: ! - encoded: 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formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid 'df173a0f-7dbe-47be-9d19-df9adb991a86' + - !uuid '63c79ee9-e1cc-4cca-a66c-a72138016869' data_id: - - instrument: HSC - detector: 9 - path: HSC/calib/curated/20161223T000000Z/defects/defects_HSC_1_47_HSC_calib_curated_20161223T000000Z.fits - formatter: lsst.obs.base.formatters.fitsGeneric.FitsGenericFormatter + - band: i + htm7: 231831 + path: fake_injection_catalog/injection_catalog/i/injection_catalog_i_231831_fake_injection_catalog.parq + formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid '3599c461-fa1d-4716-80dc-2dba7dc5fc2c' + - !uuid 'a248d807-2d64-415d-9f78-aa2ca8c3f83a' data_id: - - instrument: HSC - detector: 0 - path: HSC/calib/curated/20161223T000000Z/defects/defects_HSC_1_53_HSC_calib_curated_20161223T000000Z.fits - formatter: lsst.obs.base.formatters.fitsGeneric.FitsGenericFormatter + - band: i + htm7: 231834 + path: fake_injection_catalog/injection_catalog/i/injection_catalog_i_231834_fake_injection_catalog.parq + formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid '0741a968-501d-4d3e-acd9-4ec8d4e5a9f3' + - !uuid 'e00b68bb-ce3c-4b69-bd34-4df6b451cbbc' data_id: - - instrument: HSC - detector: 1 - path: HSC/calib/curated/20161223T000000Z/defects/defects_HSC_1_54_HSC_calib_curated_20161223T000000Z.fits - formatter: lsst.obs.base.formatters.fitsGeneric.FitsGenericFormatter + - band: i + htm7: 231836 + path: fake_injection_catalog/injection_catalog/i/injection_catalog_i_231836_fake_injection_catalog.parq + formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid 'fbf691a3-b08e-48ff-8f1d-3b555036e025' + - !uuid '769414e8-ff80-4a98-902e-98166b0e6f16' data_id: - - instrument: HSC - detector: 2 - path: HSC/calib/curated/20161223T000000Z/defects/defects_HSC_1_55_HSC_calib_curated_20161223T000000Z.fits - formatter: lsst.obs.base.formatters.fitsGeneric.FitsGenericFormatter + - band: i + htm7: 231838 + path: fake_injection_catalog/injection_catalog/i/injection_catalog_i_231838_fake_injection_catalog.parq + formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid 'd4dc286b-e637-463e-bfd7-0cb7f61bc0e2' + - !uuid '6635087f-a7d1-4aa9-ae8a-3c5f973f2242' data_id: - - instrument: HSC - detector: 3 - path: HSC/calib/curated/20161223T000000Z/defects/defects_HSC_1_56_HSC_calib_curated_20161223T000000Z.fits - formatter: lsst.obs.base.formatters.fitsGeneric.FitsGenericFormatter -- type: dataset_type - name: flat - dimensions: - - band - - instrument - - detector - - physical_filter - storage_class: ExposureF - is_calibration: true -- type: dataset - dataset_type: flat - run: HSC/calib/gen2/20180117/20160307T000000Z - records: + - band: i + htm7: 231839 + path: fake_injection_catalog/injection_catalog/i/injection_catalog_i_231839_fake_injection_catalog.parq + formatter: 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lsst.obs.base.formatters.fitsExposure.FitsExposureFormatter + - band: i + htm7: 231857 + path: fake_injection_catalog/injection_catalog/i/injection_catalog_i_231857_fake_injection_catalog.parq + formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid '45460c65-f793-4793-8410-f4c1b0e839bf' + - !uuid '0285ef81-6b2f-46d9-9207-3c59ccd6b1dd' data_id: - - instrument: HSC - detector: 51 - physical_filter: HSC-G - path: HSC/calib/gen2/20180117/20160307T000000Z/flat/g/HSC-G/flat_HSC_g_HSC-G_1_13_HSC_calib_gen2_20180117_20160307T000000Z.fits - formatter: lsst.obs.base.formatters.fitsExposure.FitsExposureFormatter + - band: i + htm7: 231858 + path: fake_injection_catalog/injection_catalog/i/injection_catalog_i_231858_fake_injection_catalog.parq + formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid 'ebc81a69-00af-4fd3-9a77-050817d0032c' + - !uuid '8207b92f-7128-410e-8d01-11f0d9d55c42' data_id: - - instrument: HSC - detector: 58 - physical_filter: HSC-G - path: HSC/calib/gen2/20180117/20160307T000000Z/flat/g/HSC-G/flat_HSC_g_HSC-G_1_16_HSC_calib_gen2_20180117_20160307T000000Z.fits - formatter: lsst.obs.base.formatters.fitsExposure.FitsExposureFormatter + - band: i + htm7: 231859 + path: fake_injection_catalog/injection_catalog/i/injection_catalog_i_231859_fake_injection_catalog.parq + formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid 'b31fda2a-c720-40ed-a20b-1abb0c29b4b8' + - !uuid 'dc67edb3-e039-4c7d-9714-349a9fa33fcd' data_id: - - instrument: HSC - detector: 11 - physical_filter: HSC-G - path: HSC/calib/gen2/20180117/20160307T000000Z/flat/g/HSC-G/flat_HSC_g_HSC-G_1_37_HSC_calib_gen2_20180117_20160307T000000Z.fits - formatter: lsst.obs.base.formatters.fitsExposure.FitsExposureFormatter + - band: i + htm7: 231861 + path: fake_injection_catalog/injection_catalog/i/injection_catalog_i_231861_fake_injection_catalog.parq + formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid '33eb9f5a-403b-409e-a8c6-dfb2a0d0bd9d' + - !uuid '317796dc-a22c-4c64-9fe8-436bf777a831' data_id: - - instrument: HSC - detector: 4 - physical_filter: HSC-G - path: HSC/calib/gen2/20180117/20160307T000000Z/flat/g/HSC-G/flat_HSC_g_HSC-G_1_42_HSC_calib_gen2_20180117_20160307T000000Z.fits - formatter: lsst.obs.base.formatters.fitsExposure.FitsExposureFormatter + - band: i + htm7: 231862 + path: fake_injection_catalog/injection_catalog/i/injection_catalog_i_231862_fake_injection_catalog.parq + formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid '7769f6e9-6c8c-42c0-b7c7-33b17f5487c7' + - !uuid '943e7e82-8409-4e74-bee9-bc98ea44558f' data_id: - - instrument: HSC - detector: 5 - physical_filter: HSC-G - path: HSC/calib/gen2/20180117/20160307T000000Z/flat/g/HSC-G/flat_HSC_g_HSC-G_1_43_HSC_calib_gen2_20180117_20160307T000000Z.fits - formatter: lsst.obs.base.formatters.fitsExposure.FitsExposureFormatter + - band: i + htm7: 231863 + path: fake_injection_catalog/injection_catalog/i/injection_catalog_i_231863_fake_injection_catalog.parq + formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid 'd4efa914-0a6a-498d-a129-8d50142521b9' + - !uuid '34dd5b91-ddc3-4c8c-8ffb-cb84f3f3f7a5' data_id: - - instrument: HSC - detector: 0 - physical_filter: HSC-G - path: HSC/calib/gen2/20180117/20160307T000000Z/flat/g/HSC-G/flat_HSC_g_HSC-G_1_53_HSC_calib_gen2_20180117_20160307T000000Z.fits - formatter: lsst.obs.base.formatters.fitsExposure.FitsExposureFormatter -- type: dataset_type - name: goodSeeingCoadd - dimensions: - - band - - skymap - - tract - - patch - storage_class: ExposureF - is_calibration: false -- type: dataset - dataset_type: goodSeeingCoadd - run: u/elhoward/DM-38242/templates/20230517T191130Z - records: + - band: i + htm7: 231865 + path: fake_injection_catalog/injection_catalog/i/injection_catalog_i_231865_fake_injection_catalog.parq + formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid 'deb736f1-31ac-4d42-9c8c-a4edb27c1526' + - !uuid '228d097e-e130-457f-8612-e84d0338e4c9' data_id: - - band: g - skymap: hsc_rings_v1 - tract: 9813 - patch: 41 - path: u/elhoward/DM-38242/templates/20230517T191130Z/goodSeeingCoadd/9813/41/g/goodSeeingCoadd_9813_41_g_hsc_rings_v1_u_elhoward_DM-38242_templates_20230517T191130Z.fits - formatter: lsst.obs.base.formatters.fitsExposure.FitsExposureFormatter + - band: i + htm7: 231866 + path: fake_injection_catalog/injection_catalog/i/injection_catalog_i_231866_fake_injection_catalog.parq + formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid 'd1b9e497-f2ff-4946-8bd2-c0a0aa8b9c1a' + - !uuid '4280965c-3a13-49e7-b10b-258b48b8bb67' data_id: - - band: g - skymap: hsc_rings_v1 - tract: 9813 - patch: 42 - path: u/elhoward/DM-38242/templates/20230517T191130Z/goodSeeingCoadd/9813/42/g/goodSeeingCoadd_9813_42_g_hsc_rings_v1_u_elhoward_DM-38242_templates_20230517T191130Z.fits - formatter: lsst.obs.base.formatters.fitsExposure.FitsExposureFormatter + - band: i + htm7: 231867 + path: fake_injection_catalog/injection_catalog/i/injection_catalog_i_231867_fake_injection_catalog.parq + formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid 'eb71164e-bfce-4d19-a9c6-ddd840abad00' - data_id: - - band: g - skymap: hsc_rings_v1 - tract: 9813 - patch: 43 - path: u/elhoward/DM-38242/templates/20230517T191130Z/goodSeeingCoadd/9813/43/g/goodSeeingCoadd_9813_43_g_hsc_rings_v1_u_elhoward_DM-38242_templates_20230517T191130Z.fits - formatter: lsst.obs.base.formatters.fitsExposure.FitsExposureFormatter + - !uuid '6ba7bc7c-8a48-4b4c-93ed-7fc173c1e83c' + data_id: + - band: i + htm7: 231868 + path: fake_injection_catalog/injection_catalog/i/injection_catalog_i_231868_fake_injection_catalog.parq + formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid '25b21763-7d75-4485-a859-7dcd14918fdf' + - !uuid 'bceade1b-5d21-419f-ba08-afc6fe66eeb2' data_id: - - band: g - skymap: hsc_rings_v1 - tract: 9813 - patch: 50 - path: u/elhoward/DM-38242/templates/20230517T191130Z/goodSeeingCoadd/9813/50/g/goodSeeingCoadd_9813_50_g_hsc_rings_v1_u_elhoward_DM-38242_templates_20230517T191130Z.fits - formatter: lsst.obs.base.formatters.fitsExposure.FitsExposureFormatter + - band: i + htm7: 231869 + path: fake_injection_catalog/injection_catalog/i/injection_catalog_i_231869_fake_injection_catalog.parq + formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid 'f063fdf8-42a7-4beb-8127-0942de1c6759' + - !uuid 'f8f7c3b9-3250-4762-bbdb-85bed3c5b167' data_id: - - band: g - skymap: hsc_rings_v1 - tract: 9813 - patch: 51 - path: u/elhoward/DM-38242/templates/20230517T191130Z/goodSeeingCoadd/9813/51/g/goodSeeingCoadd_9813_51_g_hsc_rings_v1_u_elhoward_DM-38242_templates_20230517T191130Z.fits - formatter: lsst.obs.base.formatters.fitsExposure.FitsExposureFormatter + - band: i + htm7: 231870 + path: fake_injection_catalog/injection_catalog/i/injection_catalog_i_231870_fake_injection_catalog.parq + formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid 'a3351dc5-d799-4e17-a824-7751d9197a52' + - !uuid '253a0f00-17dc-4b50-8f0a-32d09d97d42a' data_id: - - band: g - skymap: hsc_rings_v1 - tract: 9813 - patch: 52 - path: u/elhoward/DM-38242/templates/20230517T191130Z/goodSeeingCoadd/9813/52/g/goodSeeingCoadd_9813_52_g_hsc_rings_v1_u_elhoward_DM-38242_templates_20230517T191130Z.fits - formatter: lsst.obs.base.formatters.fitsExposure.FitsExposureFormatter -- type: dataset_type - name: injection_catalog - dimensions: - - band - - htm7 - storage_class: ArrowAstropy - is_calibration: false -- type: dataset - dataset_type: injection_catalog - run: fake_injection_catalog - records: + - band: i + htm7: 231871 + path: fake_injection_catalog/injection_catalog/i/injection_catalog_i_231871_fake_injection_catalog.parq + formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid 'd9d0f36d-9f7a-46e2-a4f6-f2f84c285cc0' + - !uuid '4922d5b8-c08c-4e82-837f-a6c25d7bc160' data_id: - - band: g + - band: r htm7: 231828 - path: fake_injection_catalog/injection_catalog/g/injection_catalog_g_231828_fake_injection_catalog.parq + path: fake_injection_catalog/injection_catalog/r/injection_catalog_r_231828_fake_injection_catalog.parq formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid '0ec7e7f9-ec7d-4225-bd0f-28017422eefc' + - !uuid 'cf511a37-9cd3-442b-8901-18e627c45859' data_id: - - band: g + - band: r htm7: 231829 - path: fake_injection_catalog/injection_catalog/g/injection_catalog_g_231829_fake_injection_catalog.parq + path: fake_injection_catalog/injection_catalog/r/injection_catalog_r_231829_fake_injection_catalog.parq formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid '06595ef1-56b3-4cba-859c-25c0f5d95d70' + - !uuid '73f1ffa0-3a3a-4ebe-9faf-a111ab18d6be' data_id: - - band: g + - band: r htm7: 231830 - path: fake_injection_catalog/injection_catalog/g/injection_catalog_g_231830_fake_injection_catalog.parq + path: fake_injection_catalog/injection_catalog/r/injection_catalog_r_231830_fake_injection_catalog.parq formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid '212736b6-a7b5-4564-ad8d-68228bbafc6a' + - !uuid 'f86fb19a-5ed2-4180-b1d0-bba5cd46c071' data_id: - - band: g + - band: r htm7: 231831 - path: fake_injection_catalog/injection_catalog/g/injection_catalog_g_231831_fake_injection_catalog.parq + path: fake_injection_catalog/injection_catalog/r/injection_catalog_r_231831_fake_injection_catalog.parq formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid '9b36b4b3-1f8e-44f7-9adb-42c56d657bd8' + - !uuid '22105ec1-3da9-4243-be6f-4abaa1813617' data_id: - - band: g + - band: r htm7: 231834 - path: fake_injection_catalog/injection_catalog/g/injection_catalog_g_231834_fake_injection_catalog.parq + path: fake_injection_catalog/injection_catalog/r/injection_catalog_r_231834_fake_injection_catalog.parq formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid '28149e6b-22ca-44ab-b0ba-aaf84895691e' + - !uuid 'f4894e05-61bc-412c-a4fa-112ea24810d1' data_id: - - band: g + - band: r htm7: 231836 - path: fake_injection_catalog/injection_catalog/g/injection_catalog_g_231836_fake_injection_catalog.parq + path: fake_injection_catalog/injection_catalog/r/injection_catalog_r_231836_fake_injection_catalog.parq formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid 'fa22f102-be4b-4d21-b83b-0efc19205a6b' + - !uuid 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fake_injection_catalog/injection_catalog/r/injection_catalog_r_231838_fake_injection_catalog.parq + - instrument: HSC + detector: 5 + group: '59142' + path: dia_catalogs/apdb/preloaded_diaObjects/59142/preloaded_diaObjects_HSC_59142_1_43_dia_catalogs_apdb.parq formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid '06ece9db-35fa-4589-81bd-13180f9d9f56' + - !uuid '3ff97b19-0dc1-4f23-9803-1af05a3e0f71' data_id: - - band: r - htm7: 231839 - path: fake_injection_catalog/injection_catalog/r/injection_catalog_r_231839_fake_injection_catalog.parq + - instrument: HSC + detector: 0 + group: '59142' + path: dia_catalogs/apdb/preloaded_diaObjects/59142/preloaded_diaObjects_HSC_59142_1_53_dia_catalogs_apdb.parq formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid '62e93042-af4f-40aa-8a60-08ded01c76eb' + - !uuid 'c3ba0b65-f85b-4594-bc55-bd16dcee688f' data_id: - - band: r - htm7: 231856 - path: fake_injection_catalog/injection_catalog/r/injection_catalog_r_231856_fake_injection_catalog.parq + - instrument: HSC + detector: 50 + group: '59150' + path: dia_catalogs/apdb/preloaded_diaObjects/59150/preloaded_diaObjects_HSC_59150_1_12_dia_catalogs_apdb.parq formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid '15c98230-8161-4cde-be1f-039cb5f5f95e' + - !uuid 'e1a4741e-7cb2-4182-b228-c4a68810137f' data_id: - - band: r - htm7: 231857 - path: fake_injection_catalog/injection_catalog/r/injection_catalog_r_231857_fake_injection_catalog.parq + - instrument: HSC + detector: 58 + group: '59150' + path: dia_catalogs/apdb/preloaded_diaObjects/59150/preloaded_diaObjects_HSC_59150_1_16_dia_catalogs_apdb.parq formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid 'b15427c7-f90b-4e06-a16f-3554864122b6' + - !uuid '07b99798-5d94-4165-8784-64e04fcb3951' data_id: - - band: r - htm7: 231858 - path: fake_injection_catalog/injection_catalog/r/injection_catalog_r_231858_fake_injection_catalog.parq + - instrument: HSC + detector: 43 + group: '59160' + path: dia_catalogs/apdb/preloaded_diaObjects/59160/preloaded_diaObjects_HSC_59160_1_09_dia_catalogs_apdb.parq formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid 'b151a274-73ea-4dd0-b94f-e37145c9ffe5' + - !uuid 'afc8de63-bbff-41bc-b956-963e7028fdc7' data_id: - - band: r - htm7: 231859 - path: fake_injection_catalog/injection_catalog/r/injection_catalog_r_231859_fake_injection_catalog.parq + - instrument: HSC + detector: 51 + group: '59160' + path: dia_catalogs/apdb/preloaded_diaObjects/59160/preloaded_diaObjects_HSC_59160_1_13_dia_catalogs_apdb.parq formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter +- type: dataset_type + name: preloaded_diaSources + dimensions: + - instrument + - detector + - group + storage_class: DataFrame + is_calibration: false +- type: dataset + dataset_type: preloaded_diaSources + run: dia_catalogs/apdb + records: - dataset_id: - - !uuid '73ab0cb0-eef1-4522-b26f-3fd08bffc2c9' + - !uuid '365d6e35-3bc5-4112-9728-962a3323db91' data_id: - - band: r - htm7: 231861 - path: fake_injection_catalog/injection_catalog/r/injection_catalog_r_231861_fake_injection_catalog.parq + - instrument: HSC + detector: 4 + group: '59134' + path: dia_catalogs/apdb/preloaded_diaSources/59134/preloaded_diaSources_HSC_59134_1_42_dia_catalogs_apdb.parq formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - dataset_id: - - !uuid 'ed4b4085-cb44-42a4-8648-5f1c0fa4021f' + - !uuid '5ea4fff1-a359-41d2-baf5-72b5c6ba879a' data_id: - - band: r - htm7: 231862 - path: fake_injection_catalog/injection_catalog/r/injection_catalog_r_231862_fake_injection_catalog.parq + - instrument: HSC + detector: 5 + group: '59134' + path: dia_catalogs/apdb/preloaded_diaSources/59134/preloaded_diaSources_HSC_59134_1_43_dia_catalogs_apdb.parq formatter: 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lsst.daf.butler.formatters.parquet.ParquetFormatter - type: dataset_type name: pretrainedModelPackage @@ -11585,48 +9640,6 @@ data: detector: 107 path: HSC/calib/unbounded/transmission_sensor/transmission_sensor_HSC_1_57_HSC_calib_unbounded.fits formatter: lsst.obs.base.formatters.fitsGeneric.FitsGenericFormatter -- type: dataset_type - name: visitSsObjects - dimensions: - - band - - instrument - - day_obs - - physical_filter - - visit - storage_class: DataFrame - is_calibration: false -- type: dataset - dataset_type: visitSsObjects - run: sso/cached - records: - - dataset_id: - - !uuid '24cb6bbc-afde-4972-b2f3-33dd92e77f3d' - data_id: - - instrument: HSC - visit: 59134 - path: sso/cached/visitSsObjects/20160307/g/HSC-G/59134/visitSsObjects_HSC_g_HSC-G_59134_sso_cached.parq - formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - - dataset_id: - - !uuid '169c1140-4044-46f2-b645-137e87b06631' - data_id: - - instrument: HSC - visit: 59142 - path: 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sha256:f8302ff9a1444724fb3b7caa352faf14635c5490b9de40eaab9f470afd182368 size 3092480 From f445ceaf204427f40f57ad5c1f609ea909eef5eb Mon Sep 17 00:00:00 2001 From: Krzysztof Findeisen Date: Thu, 10 Oct 2024 13:47:06 -0700 Subject: [PATCH 6/6] Remove unused Butler metadata. This removes the exposure, visit, and day_obs dimensions, as well as the visitSsObjects dataset type. --- config/export.yaml | 106 ----------------------------------------- preloaded/gen3.sqlite3 | 2 +- 2 files changed, 1 insertion(+), 107 deletions(-) diff --git a/config/export.yaml b/config/export.yaml index b7ebcb86..4e924070 100644 --- a/config/export.yaml +++ b/config/export.yaml @@ -21,13 +21,6 @@ data: tract_max: 18938 patch_nx_max: 9 patch_ny_max: 9 -- type: dimension - element: day_obs - records: - - instrument: HSC - id: 20160307 - datetime_begin: !butler_time/tai/iso '2016-03-07 00:00:00.000000000' - datetime_end: !butler_time/tai/iso '2016-03-08 00:00:00.000000000' - type: dimension element: detector records: @@ -784,105 +777,6 @@ data: id: 9813 region: ! encoded: 701f49172fb089ebbffd416963e047e03f22da8d4822dd983f748955c6dc00ecbfd7f213e3c3eede3f6f79884d22dd983f4e833497bef8ebbf0eb3fe207ce5de3f474dc0300f6eab3f7fc00f009281ebbfb9cf35823c43e03f4921422b0f6eab3f -- type: dimension - element: exposure - records: - - instrument: HSC - id: 59134 - day_obs: 20160307 - group: '59134' - physical_filter: HSC-G - obs_id: HSCA05913400 - exposure_time: 180.0 - dark_time: 180.0 - observation_type: science - observation_reason: science - seq_num: 59134 - seq_start: 59134 - seq_end: 59134 - target_name: SSP-Deep-COSMOS - science_program: o16406 - tracking_ra: 149.45749166666664 - tracking_dec: 2.926961111111111 - sky_angle: 270.0 - azimuth: 111.029026 - zenith_angle: 39.18337617 - has_simulated: false - can_see_sky: true - datetime_begin: !butler_time/tai/iso '2016-03-07 06:54:45.067000000' - datetime_end: !butler_time/tai/iso '2016-03-07 06:57:46.945000000' - - instrument: HSC - id: 59142 - day_obs: 20160307 - group: '59142' - physical_filter: HSC-G - obs_id: HSCA05914200 - exposure_time: 180.0 - dark_time: 180.0 - observation_type: science - observation_reason: science - seq_num: 59142 - seq_start: 59142 - seq_end: 59142 - target_name: SSP-Deep-COSMOS - science_program: o16406 - tracking_ra: 149.4992083333333 - tracking_dec: 2.8853 - sky_angle: 270.0 - azimuth: 114.00419014 - zenith_angle: 36.0631884 - has_simulated: false - can_see_sky: true - datetime_begin: !butler_time/tai/iso '2016-03-07 07:09:19.901000000' - datetime_end: !butler_time/tai/iso '2016-03-07 07:12:21.898000000' - - instrument: HSC - id: 59150 - day_obs: 20160307 - group: '59150' - physical_filter: HSC-G - obs_id: HSCA05915000 - exposure_time: 300.0 - dark_time: 300.0 - observation_type: science - observation_reason: science - seq_num: 59150 - seq_start: 59150 - seq_end: 59150 - target_name: SSP-UDeep-COSMOS - science_program: o16406 - tracking_ra: 149.96643749999996 - tracking_dec: 2.2202916666666668 - sky_angle: 270.0 - azimuth: null - zenith_angle: 33.74398292 - has_simulated: false - can_see_sky: true - datetime_begin: !butler_time/tai/iso '2016-03-07 07:23:47.995000000' - datetime_end: !butler_time/tai/iso '2016-03-07 07:28:50.097000000' - - instrument: HSC - id: 59160 - day_obs: 20160307 - group: '59160' - physical_filter: HSC-G - obs_id: HSCA05916000 - exposure_time: 300.0 - dark_time: 300.0 - observation_type: science - observation_reason: science - seq_num: 59160 - seq_start: 59160 - seq_end: 59160 - target_name: SSP-UDeep-COSMOS - science_program: o16406 - tracking_ra: 150.18157499999998 - tracking_dec: 2.2800083333333334 - sky_angle: 270.0 - azimuth: null - zenith_angle: 28.29241715 - has_simulated: false - can_see_sky: true - datetime_begin: !butler_time/tai/iso '2016-03-07 07:51:38.930000000' - datetime_end: !butler_time/tai/iso '2016-03-07 07:56:40.930000000' - type: dimension element: patch records: diff --git a/preloaded/gen3.sqlite3 b/preloaded/gen3.sqlite3 index 878d6758..e9a26d05 100644 --- a/preloaded/gen3.sqlite3 +++ b/preloaded/gen3.sqlite3 @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:f8302ff9a1444724fb3b7caa352faf14635c5490b9de40eaab9f470afd182368 +oid sha256:be2e598bddd7bb859eb9f6dc1cf8427c452e3dba11a4cd7815b6a3a048ce8cd2 size 3092480