Coverage for python / lsst / pipe / base / execution_graph_fixup.py: 100%
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1# This file is part of pipe_base.
2#
3# Developed for the LSST Data Management System.
4# This product includes software developed by the LSST Project
5# (http://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 software is dual licensed under the GNU General Public License and also
10# under a 3-clause BSD license. Recipients may choose which of these licenses
11# to use; please see the files gpl-3.0.txt and/or bsd_license.txt,
12# respectively. If you choose the GPL option then the following text applies
13# (but note that there is still no warranty even if you opt for BSD instead):
14#
15# This program is free software: you can redistribute it and/or modify
16# it under the terms of the GNU General Public License as published by
17# the Free Software Foundation, either version 3 of the License, or
18# (at your option) any later version.
19#
20# This program is distributed in the hope that it will be useful,
21# but WITHOUT ANY WARRANTY; without even the implied warranty of
22# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
23# GNU General Public License for more details.
24#
25# You should have received a copy of the GNU General Public License
26# along with this program. If not, see <http://www.gnu.org/licenses/>.
28__all__ = ["ExecutionGraphFixup"]
30import uuid
31from abc import ABC
32from collections.abc import Mapping
34import networkx
36from lsst.daf.butler import DataCoordinate
38from .graph import QuantumGraph
41class ExecutionGraphFixup(ABC):
42 """Interface for classes which update quantum graphs before execution.
44 Notes
45 -----
46 The primary goal of this class is to modify quanta dependencies which may
47 not be possible to reflect in a quantum graph using standard tools. One
48 known use case for that is to guarantee particular execution order of
49 visits in CI jobs for cases when outcome depends on the processing order of
50 visits (e.g. AP association pipeline).
52 Instances of this class receive a preliminary graph and are allowed to
53 add edges, as long as those edges do not result in a cycle. Edges and
54 nodes may not be removed.
56 New subclasses should implement only `fixup_graph`, which will always be
57 called first. `fixupQuanta` is only called if `fixup_graph` raises
58 `NotImplementedError`.
59 """
61 def fixupQuanta(self, graph: QuantumGraph) -> QuantumGraph:
62 """Update quanta in a graph.
64 Parameters
65 ----------
66 graph : `.QuantumGraph`
67 Quantum Graph that will be executed by the executor.
69 Returns
70 -------
71 graph : `.QuantumGraph`
72 Modified graph.
74 Notes
75 -----
76 This hook is provided for backwards compatibility only.
77 """
78 raise NotImplementedError()
80 def fixup_graph(
81 self, xgraph: networkx.DiGraph, quanta_by_task: Mapping[str, Mapping[DataCoordinate, uuid.UUID]]
82 ) -> None:
83 """Update a networkx graph of quanta in place by adding edges to
84 further constrain the ordering.
86 Parameters
87 ----------
88 xgraph : `networkx.DiGraph`
89 A directed acyclic graph of quanta to modify in place. Node keys
90 are quantum UUIDs, and attributes include ``task_label`` (`str`)
91 and ``data_id`` (a full `lsst.daf.butler.DataCoordinate`, without
92 dimension records attached). Edges may be added, but not removed.
93 Nodes may not be modified.
94 quanta_by_task : `~collections.abc.Mapping` [ `str`,\
95 `~collections.abc.Mapping` [ `lsst.daf.butler.DataCoordinate`,\
96 `uuid.UUID` ] ]
97 All quanta in the graph, grouped first by task label and then by
98 data ID.
99 """
100 raise NotImplementedError()