21 from __future__
import annotations
23 __all__ = [
"RootRepoConverter"]
28 from typing
import TYPE_CHECKING, Iterator, Optional, Tuple, List
30 from lsst.skymap
import BaseSkyMap
31 from lsst.daf.butler
import DatasetType, DatasetRef, FileDataset
32 from .calibRepoConverter
import CURATED_CALIBRATION_DATASET_TYPES
33 from .standardRepoConverter
import StandardRepoConverter
35 SKYMAP_DATASET_TYPES = {
36 coaddName: f
"{coaddName}Coadd_skyMap" for coaddName
in (
"deep",
"goodSeeing",
"dcr")
40 from lsst.daf.butler
import SkyPixDimension
41 from ..ingest
import RawExposureData
45 """A specialization of `RepoConverter` for root data repositories. 47 `RootRepoConverter` adds support for raw images (mostly delegated to the 48 parent task's `RawIngestTask` subtask) and reference catalogs. 53 Keyword arguments are forwarded to (and required by) `RepoConverter`. 58 self._exposureData: List[RawExposureData] = []
59 self._refCats: List[Tuple[str, SkyPixDimension]] = []
60 if self.
task.config.rootSkyMapName
is not None:
69 or datasetTypeName
in (
"raw",
"ref_cat",
"ref_cat_config")
71 or datasetTypeName
in CURATED_CALIBRATION_DATASET_TYPES
78 def findMatchingSkyMap(self, datasetTypeName: str) -> Tuple[Optional[BaseSkyMap], Optional[str]]:
81 if skyMap
is None and self.
task.config.rootSkyMapName
is not None:
83 (
"Assuming configured root skymap with name '%s' for dataset %s."),
84 self.
task.config.rootSkyMapName, datasetTypeName
87 name = self.
task.config.rootSkyMapName
93 if self.
task.raws
is not None:
94 self.
task.log.info(f
"Preparing raws from root {self.root}.")
95 if self.
subset is not None:
96 dataRefs = itertools.chain.from_iterable(
101 self._exposureData.extend(self.
task.raws.prep(dataRef.getUri()
for dataRef
in dataRefs))
103 if self.
task.isDatasetTypeIncluded(
"ref_cat"):
104 from lsst.meas.algorithms
import DatasetConfig
as RefCatDatasetConfig
105 for refCat
in os.listdir(os.path.join(self.
root,
"ref_cats")):
106 path = os.path.join(self.
root,
"ref_cats", refCat)
107 configFile = os.path.join(path,
"config.py")
108 if not os.path.exists(configFile):
110 if refCat
not in self.
task.config.refCats:
112 self.
task.log.info(f
"Preparing ref_cat {refCat} from root {self.root}.")
113 onDiskConfig = RefCatDatasetConfig()
114 onDiskConfig.load(configFile)
115 if onDiskConfig.indexer.name !=
"HTM":
116 raise ValueError(f
"Reference catalog '{refCat}' uses unsupported " 117 f
"pixelization '{onDiskConfig.indexer.name}'.")
118 level = onDiskConfig.indexer[
"HTM"].depth
120 dimension = self.
task.universe[f
"htm{level}"]
121 except KeyError
as err:
122 raise ValueError(f
"Reference catalog {refCat} uses HTM level {level}, but no htm{level} " 123 f
"skypix dimension is configured for this registry.")
from err
124 self.
task.useSkyPix(dimension)
125 self._refCats.append((refCat, dimension))
126 if self.
task.isDatasetTypeIncluded(
"brightObjectMask")
and self.
task.config.rootSkyMapName:
132 self.
task.log.info(f
"Inserting observation dimension records from {self.root}.")
133 records = {
"visit": [],
"exposure": [],
"visit_detector_region": []}
134 for exposure
in self._exposureData:
135 for dimension, recordsForDimension
in exposure.records.items():
136 records[dimension].extend(recordsForDimension)
137 self.
task.raws.insertDimensionData(records)
142 for refCat, dimension
in self._refCats:
143 datasetType = DatasetType(refCat, dimensions=[dimension], universe=self.
task.universe,
144 storageClass=
"SimpleCatalog")
146 regex = re.compile(
r"(\d+)\.fits")
147 for fileName
in os.listdir(os.path.join(self.
root,
"ref_cats", refCat)):
148 m = regex.match(fileName)
150 htmId = int(m.group(1))
151 dataId = self.
task.registry.expandDataId({dimension: htmId})
152 yield FileDataset(path=os.path.join(self.
root,
"ref_cats", refCat, fileName),
153 refs=DatasetRef(datasetType, dataId))
155 for begin, end
in self.
subset.skypix[dimension]:
156 for htmId
in range(begin, end):
157 dataId = self.
task.registry.expandDataId({dimension: htmId})
158 yield FileDataset(path=os.path.join(self.
root,
"ref_cats", refCat, f
"{htmId}.fits"),
159 refs=DatasetRef(datasetType, dataId))
164 if self.
task.raws
is not None:
165 self.
task.log.info(f
"Ingesting raws from root {self.root}.")
166 self.
task.registry.registerDatasetType(self.
task.raws.datasetType)
173 for exposure
in self._exposureData:
174 refs.extend(self.
task.raws.ingestExposureDatasets(exposure))
175 for collection
in collections[1:]:
176 self.
task.registry.associate(collection, refs)
def insertDimensionData(self)
def getSpecialDirectories(self)