Coverage for python/lsst/obs/base/gen2to3/standardRepoConverter.py : 33%

Hot-keys on this page
r m x p toggle line displays
j k next/prev highlighted chunk
0 (zero) top of page
1 (one) first highlighted chunk
1# This file is part of obs_base.
2#
3# Developed for the LSST Data Management System.
4# This product includes software developed by the LSST Project
5# (https://www.lsst.org).
6# See the COPYRIGHT file at the top-level directory of this distribution
7# for details of code ownership.
8#
9# This program is free software: you can redistribute it and/or modify
10# it under the terms of the GNU General Public License as published by
11# the Free Software Foundation, either version 3 of the License, or
12# (at your option) any later version.
13#
14# This program is distributed in the hope that it will be useful,
15# but WITHOUT ANY WARRANTY; without even the implied warranty of
16# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
17# GNU General Public License for more details.
18#
19# You should have received a copy of the GNU General Public License
20# along with this program. If not, see <http://www.gnu.org/licenses/>.
21from __future__ import annotations
23__all__ = ["StandardRepoConverter"]
25import os.path
26from dataclasses import dataclass
27from typing import TYPE_CHECKING, Dict, Iterator, Optional, Tuple
29from lsst.log import Log
30from lsst.log.utils import temporaryLogLevel
31from lsst.daf.persistence import Butler as Butler2
32from lsst.daf.butler import DatasetType, DatasetRef, DataCoordinate, FileDataset
33from .repoConverter import RepoConverter
34from .repoWalker import RepoWalker
36SKYMAP_DATASET_TYPES = {
37 coaddName: f"{coaddName}Coadd_skyMap" for coaddName in ("deep", "goodSeeing", "dcr")
38}
40if TYPE_CHECKING: 40 ↛ 41line 40 didn't jump to line 41, because the condition on line 40 was never true
41 from lsst.skymap import BaseSkyMap
42 from lsst.daf.butler import StorageClass, FormatterParameter
43 from .cameraMapper import CameraMapper
44 from .repoWalker.scanner import PathElementHandler
45 from ..mapping import Mapping as CameraMapperMapping # disambiguate from collections.abc.Mapping
48@dataclass
49class FoundSkyMap:
50 """Struct containing information about a SkyMap found in a Gen2 repository.
51 """
53 name: str
54 """Name of the skymap used in Gen3 data IDs.
55 """
57 instance: BaseSkyMap
58 """An instance of the actual skymap class.
59 """
61 coaddName: str
62 """The coadd name used as a prefix for the dataset type this skymap was
63 found in.
64 """
66 ref: DatasetRef
67 """A `DatasetRef` that can be used to ingest the skymap dataset into a
68 Gen3 repository.
69 """
71 filename: str
72 """Name of the file containing the skymap dataset, relative to the
73 repository root.
74 """
77class StandardRepoConverter(RepoConverter):
78 """A specialization of `RepoConverter` for non-calibration repositories.
80 Parameters
81 ----------
82 kwds
83 Keyword arguments are forwarded to (and required by) `RepoConverter`.
84 """
86 def __init__(self, **kwds):
87 super().__init__(**kwds)
88 # Shush noisy log messages from Gen2 Mapper classes.
89 with temporaryLogLevel("CameraMapper", Log.ERROR):
90 with temporaryLogLevel("HscMapper", Log.ERROR):
91 self.butler2 = Butler2(self.root)
92 self.mapper = self.butler2.getMapperClass(self.root)(root=self.root)
93 self._foundSkyMapsByCoaddName = {}
95 def isDatasetTypeSpecial(self, datasetTypeName: str) -> bool:
96 # Docstring inherited from RepoConverter.
97 return datasetTypeName in SKYMAP_DATASET_TYPES.values()
99 def prep(self):
100 # Docstring inherited from RepoConverter.
101 self.task.log.info(f"Looking for skymaps in root {self.root}.")
102 for coaddName, datasetTypeName in SKYMAP_DATASET_TYPES.items():
103 if not self.task.isDatasetTypeIncluded(datasetTypeName):
104 continue
105 try:
106 exists = self.butler2.datasetExists(datasetTypeName)
107 except AttributeError:
108 # This mapper doesn't even define this dataset type.
109 continue
110 if not exists:
111 continue
112 instance = self.butler2.get(datasetTypeName)
113 name = self.task.useSkyMap(instance, datasetTypeName)
114 datasetType = DatasetType(datasetTypeName, dimensions=["skymap"],
115 storageClass="SkyMap", universe=self.task.universe)
116 dataId = DataCoordinate.standardize(skymap=name, universe=self.task.universe)
117 struct = FoundSkyMap(name=name, instance=instance, coaddName=coaddName,
118 ref=DatasetRef(datasetType, dataId),
119 filename=self.butler2.getUri(datasetTypeName))
120 self._foundSkyMapsByCoaddName[coaddName] = struct
121 self.task.log.info("Found skymap %s in %s in %s.", name, datasetTypeName, self.root)
122 super().prep()
124 def iterMappings(self) -> Iterator[Tuple[str, CameraMapperMapping]]:
125 # Docstring inherited from RepoConverter.
126 for datasetTypeName, mapping in self.mapper.mappings.items():
127 if datasetTypeName not in self.mapper.calibrations:
128 yield datasetTypeName, mapping
130 def findMatchingSkyMap(self, datasetTypeName: str) -> Tuple[Optional[BaseSkyMap], Optional[str]]:
131 """Return the appropriate SkyMap for the given dataset type.
133 Parameters
134 ----------
135 datasetTypeName : `str`
136 Name of the dataset type for which a skymap is sought.
138 Returns
139 -------
140 skyMap : `BaseSkyMap` or `None`
141 The `BaseSkyMap` instance, or `None` if there was no match.
142 skyMapName : `str` or `None`
143 The Gen3 name for the SkyMap, or `None` if there was no match.
144 """
145 # Use deepCoadd_skyMap by default; there are some dataset types
146 # that use it but don't have "deep" anywhere in their name.
147 struct = self._foundSkyMapsByCoaddName.get("deep")
148 for coaddName in SKYMAP_DATASET_TYPES.keys():
149 if coaddName in datasetTypeName:
150 try:
151 struct = self._foundSkyMapsByCoaddName[coaddName]
152 break
153 except KeyError:
154 # Don't use the default, since we did find a specific
155 # coaddName.
156 struct = None
157 self.task.log.debug(
158 ("Dataset %s looks like it might need a skymap, but no %sCoadd_skyMap "
159 "found in repo %s."),
160 datasetTypeName, coaddName, self.root
161 )
162 if struct is not None:
163 return struct.instance, struct.name
164 else:
165 return None, None
167 def makeRepoWalkerTarget(self, datasetTypeName: str, template: str, keys: Dict[str, type],
168 storageClass: StorageClass,
169 formatter: FormatterParameter = None,
170 targetHandler: Optional[PathElementHandler] = None,
171 ) -> RepoWalker.Target:
172 # Docstring inherited from RepoConverter.
173 skyMap, skyMapName = self.findMatchingSkyMap(datasetTypeName)
174 return RepoWalker.Target(
175 datasetTypeName=datasetTypeName,
176 storageClass=storageClass,
177 template=template,
178 keys=keys,
179 universe=self.task.registry.dimensions,
180 instrument=self.task.instrument.getName(),
181 skyMap=skyMap,
182 skyMapName=skyMapName,
183 formatter=formatter,
184 targetHandler=targetHandler,
185 )
187 def iterDatasets(self) -> Iterator[FileDataset]:
188 # Docstring inherited from RepoConverter.
189 for struct in self._foundSkyMapsByCoaddName.values():
190 if self.task.isDatasetTypeIncluded(struct.ref.datasetType.name):
191 yield FileDataset(path=os.path.join(self.root, struct.filename), refs=struct.ref)
192 yield from super().iterDatasets()
194 # Class attributes that will be shadowed by public instance attributes;
195 # defined here only for documentation purposes.
197 butler2: Butler2
198 """Gen2 butler associated with this repository.
199 """
201 mapper: CameraMapper
202 """Gen2 mapper associated with this repository.
203 """