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consolidateSsTables.py
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1# This file is part of pipe_tasks.
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 <https://www.gnu.org/licenses/>.
21
22__all__ = ["ConsolidateSsTablesConfig", "ConsolidateSsTablesTask", "ConsolidateSsTablesConnections"]
23
24import astropy.table as tb
25import numpy as np
26import warnings
27
28import lsst.pipe.base as pipeBase
29import lsst.pipe.base.connectionTypes as cT
30from lsst.pipe.tasks.postprocess import TableVStack
31from lsst.utils.timer import timeMethod
32
33warnings.filterwarnings('ignore')
34
35
36class ConsolidateSsTablesConnections(pipeBase.PipelineTaskConnections,
37 dimensions=("skymap",),
38 defaultTemplates={"coaddName": "goodSeeing",
39 "fakesType": ""}):
40 inputCatalogs = cT.Input(
41 doc="associated ssSources from all tract-patches.",
42 name="{fakesType}{coaddName}Diff_assocSsSrcTable",
43 storageClass="ArrowAstropy",
44 dimensions=("tract", "patch"),
45 multiple=True,
46 deferLoad=True,
47 )
48 ssSourceTable = cT.Output(
49 doc="",
50 name="{fakesType}{coaddName}Diff_ssSrcTable",
51 storageClass="ArrowAstropy",
52 dimensions=(),
53 )
54 ssObjectTable = cT.Output(
55 doc="",
56 name="{fakesType}{coaddName}Diff_ssObjTable",
57 storageClass="ArrowAstropy",
58 dimensions=(),
59 )
60
61
62class ConsolidateSsTablesConfig(pipeBase.PipelineTaskConfig,
63 pipelineConnections=ConsolidateSsTablesConnections):
64
65 """Config for ConsolidateSsTablesTask"""
66
67
68class ConsolidateSsTablesTask(pipeBase.PipelineTask):
69 """ Consolidate per-patch ssSource tables into a single table.
70 Create ssObject table
71 TODO (DM-49451): Fit per-object parameters
72 TODO (DM-49453): Generate MPCORB table.
73 """
74
75 ConfigClass = ConsolidateSsTablesConfig
76 _DefaultName = "consolidateSsTables"
77
78 @timeMethod
79 def run(self, inputCatalogs):
80 """Concatenate per-patch ssSource tables.
81 Generate ssObject table.
82
83 Parameters
84 ----------
85 inputCatalogs `list` of `lsst.daf.butler.DeferredDatasetHandle`:
86 All per-patch ssSource Tables
87
88 Returns
89 -------
90 output : `lsst.pipe.base.Struct`
91 Results struct with attributes:
92
93 ``sSourceTable``
94 Table of ssSources.
95 (`astropy.table.Table`)
96 ``ssObjectTable``
97 Table of ssObjects
98 (`astropy.table.Table`).
99 """
100 self.log.info("Concatenating %s per-patch ssSource Tables",
101 len(inputCatalogs))
102 ssSourceTable = TableVStack.vstack_handles(inputCatalogs)
103 ssObjectTable = tb.Table()
104 ssObjectTable['ssObjectId'], ssObjectTable['numObs'] = np.unique(ssSourceTable['ssObjectId'],
105 return_counts=True)
106 ssObjectTable['discoverySubmissionDate'] = np.nan
107
108 return pipeBase.Struct(
109 ssSourceTable=ssSourceTable,
110 ssObjectTable=ssObjectTable,
111 )