21 from __future__
import annotations
23 __all__ = [
"CalibRepoConverter"]
27 from datetime
import datetime, timedelta
28 from typing
import TYPE_CHECKING, Dict, Iterator, Tuple
30 from .repoConverter
import RepoConverter
31 from .repoWalker
import RepoWalker
32 from .translators
import makeCalibrationLabel
35 from lsst.daf.butler
import StorageClass
36 from ..cameraMapper
import CameraMapper
37 from ..mapping
import Mapping
as CameraMapperMapping
39 CURATED_CALIBRATION_DATASET_TYPES = (
42 "transmission_sensor",
43 "transmission_filter",
44 "transmission_optics",
45 "transmission_atmosphere",
51 """A specialization of `RepoConverter` for calibration repositories. 55 mapper : `CameraMapper` 56 Gen2 mapper for the data repository. The root associated with the 57 mapper is ignored and need not match the root of the repository. 59 Additional keyword arguments are forwarded to (and required by) 63 def __init__(self, *, mapper: CameraMapper, **kwds):
70 return datasetTypeName
in CURATED_CALIBRATION_DATASET_TYPES
72 def iterMappings(self) -> Iterator[Tuple[str, CameraMapperMapping]]:
74 yield from self.
mapper.calibrations.items()
77 storageClass: StorageClass) -> RepoWalker.Target:
79 target = RepoWalker.Target(
80 datasetTypeName=datasetTypeName,
81 storageClass=storageClass,
84 instrument=self.
task.instrument.getName(),
85 universe=self.
task.registry.dimensions,
95 db = sqlite3.connect(os.path.join(self.
root,
"calibRegistry.sqlite3"))
96 db.row_factory = sqlite3.Row
99 if "calibration_label" not in datasetType.dimensions:
101 fields = [
"validStart",
"validEnd",
"calibDate"]
102 if "detector" in datasetType.dimensions.names:
103 fields.append(self.
task.config.ccdKey)
105 fields.append(f
"NULL AS {self.task.config.ccdKey}")
106 if "physical_filter" in datasetType.dimensions.names:
107 fields.append(
"filter")
109 fields.append(
"NULL AS filter")
110 query = f
"SELECT DISTINCT {', '.join(fields)} FROM {datasetType.name};" 112 results = db.execute(query)
113 except sqlite3.OperationalError:
114 self.
task.log.warn(
"Could not extract calibration ranges for %s in %s.",
115 datasetType.name, self.
root)
119 ccd=row[self.
task.config.ccdKey], filter=row[
"filter"])
121 "instrument": self.
task.instrument.getName(),
123 "datetime_begin": datetime.strptime(row[
"validStart"],
"%Y-%m-%d"),
124 "datetime_end": datetime.strptime(row[
"validEnd"],
"%Y-%m-%d") + timedelta(days=1),
127 self.
task.registry.insertDimensionData(
"calibration_label", *records)
131 if self.
task.config.doWriteCuratedCalibrations:
133 butler3, collections = self.
getButler(
None)
134 except LookupError
as err:
135 raise ValueError(
"Cannot ingest curated calibration into a calibration repo with no " 136 "collections of its own; skipping.")
from err
139 assert not collections,
"Multiple collections for curated calibrations is not yet supported." 140 self.
task.instrument.writeCuratedCalibrations(butler3)
147 """Gen2 mapper associated with this repository.
def insertDimensionData(self)