DM-40441: first batch of deprecations from RFC-949

python/lsst/ctrl/mpexec/cli/script/qgraph.py

@@ -28,7 +28,7 @@
 import logging
 from types import SimpleNamespace
 
-from lsst.pipe.base.graphBuilder import DatasetQueryConstraintVariant
+from lsst.pipe.base.all_dimensions_quantum_graph_builder import DatasetQueryConstraintVariant
 
 from ... import CmdLineFwk
 

python/lsst/ctrl/mpexec/cmdLineFwk.py

@@ -39,7 +39,7 @@
 import getpass
 import logging
 import shutil
-from collections.abc import Iterable, Mapping, Sequence
+from collections.abc import Mapping, Sequence
 from types import SimpleNamespace
 
 import astropy.units as u
@@ -50,7 +50,6 @@
     CollectionType,
     Config,
     DatasetId,
-    DatasetRef,
     DatasetType,
     DimensionUniverse,
     LimitedButler,
@@ -65,16 +64,17 @@
 from lsst.daf.butler.registry.wildcards import CollectionWildcard
 from lsst.pipe.base import (
     ExecutionResources,
-    GraphBuilder,
     Instrument,
     Pipeline,
-    PipelineDatasetTypes,
+    PipelineGraph,
     QuantumGraph,
-    TaskDef,
     TaskFactory,
     buildExecutionButler,
 )
+from lsst.pipe.base.all_dimensions_quantum_graph_builder import AllDimensionsQuantumGraphBuilder
+from lsst.pipe.base.pipeline_graph import NodeType
 from lsst.utils import doImportType
+from lsst.utils.logging import getLogger
 from lsst.utils.threads import disable_implicit_threading
 
 from .dotTools import graph2dot, pipeline2dot
@@ -87,7 +87,7 @@
 #  Local non-exported definitions --
 # ----------------------------------
 
-_LOG = logging.getLogger(__name__)
+_LOG = getLogger(__name__)
 
 
 class _OutputChainedCollectionInfo:
@@ -415,7 +415,7 @@ def defineDatastoreCache() -> None:
             _LOG.debug("Defining shared datastore cache directory to %s", cache_dir)
 
     @classmethod
-    def makeWriteButler(cls, args: SimpleNamespace, taskDefs: Iterable[TaskDef] | None = None) -> Butler:
+    def makeWriteButler(cls, args: SimpleNamespace, pipeline_graph: PipelineGraph | None = None) -> Butler:
         """Return a read-write butler initialized to write to and read from
         the collections specified by the given command-line arguments.
 
@@ -424,7 +424,7 @@ def makeWriteButler(cls, args: SimpleNamespace, taskDefs: Iterable[TaskDef] | No
         args : `types.SimpleNamespace`
             Parsed command-line arguments.  See class documentation for the
             construction parameter of the same name.
-        taskDefs : iterable of `TaskDef`, optional
+        pipeline_graph : `lsst.pipe.base.PipelineGraph`, optional
             Definitions for tasks in a pipeline. This argument is only needed
             if ``args.replace_run`` is `True` and ``args.prune_replaced`` is
             "unstore".
@@ -446,12 +446,17 @@ def makeWriteButler(cls, args: SimpleNamespace, taskDefs: Iterable[TaskDef] | No
                 if args.prune_replaced == "unstore":
                     # Remove datasets from datastore
                     with butler.transaction():
-                        refs: Iterable[DatasetRef] = butler.registry.queryDatasets(..., collections=replaced)
-                        # we want to remove regular outputs but keep
-                        # initOutputs, configs, and versions.
-                        if taskDefs is not None:
-                            initDatasetNames = set(PipelineDatasetTypes.initOutputNames(taskDefs))
-                            refs = [ref for ref in refs if ref.datasetType.name not in initDatasetNames]
+                        # we want to remove regular outputs from this pipeline,
+                        # but keep initOutputs, configs, and versions.
+                        if pipeline_graph is not None:
+                            refs = [
+                                ref
+                                for ref in butler.registry.queryDatasets(..., collections=replaced)
+                                if (
+                                    (producer := pipeline_graph.producer_of(ref.datasetType.name)) is not None
+                                    and producer.key.node_type is NodeType.TASK  # i.e. not TASK_INIT
+                                )
+                            ]
                         butler.pruneDatasets(refs, unstore=True, disassociate=False)
                 elif args.prune_replaced == "purge":
                     # Erase entire collection and all datasets, need to remove
@@ -618,21 +623,25 @@ def makeGraph(self, pipeline: Pipeline, args: SimpleNamespace) -> QuantumGraph |
             if args.show_qgraph_header:
                 print(QuantumGraph.readHeader(args.qgraph))
         else:
-            task_defs = list(pipeline.toExpandedPipeline())
+            pipeline_graph = pipeline.to_graph()
             if args.mock:
-                from lsst.pipe.base.tests.mocks import mock_task_defs
+                from lsst.pipe.base.tests.mocks import mock_pipeline_graph
 
-                task_defs = mock_task_defs(
-                    task_defs,
+                pipeline_graph = mock_pipeline_graph(
+                    pipeline_graph,
                     unmocked_dataset_types=args.unmocked_dataset_types,
                     force_failures=args.mock_failure,
                 )
             # make execution plan (a.k.a. DAG) for pipeline
-            graphBuilder = GraphBuilder(
-                butler.registry,
-                skipExistingIn=args.skip_existing_in,
-                clobberOutputs=args.clobber_outputs,
-                datastore=butler._datastore if args.qgraph_datastore_records else None,
+            graph_builder = AllDimensionsQuantumGraphBuilder(
+                pipeline_graph,
+                butler,
+                where=args.data_query,
+                skip_existing_in=args.skip_existing_in if args.skip_existing_in is not None else (),
+                clobber=args.clobber_outputs,
+                dataset_query_constraint=args.dataset_query_constraint,
+                input_collections=collections,
+                output_run=run,
             )
             # accumulate metadata
             metadata = {
@@ -648,15 +657,7 @@ def makeGraph(self, pipeline: Pipeline, args: SimpleNamespace) -> QuantumGraph |
                 "time": f"{datetime.datetime.now()}",
             }
             assert run is not None, "Butler output run collection must be defined"
-            qgraph = graphBuilder.makeGraph(
-                task_defs,
-                collections,
-                run,
-                args.data_query,
-                metadata=metadata,
-                datasetQueryConstraint=args.dataset_query_constraint,
-                dataId=pipeline.get_data_id(butler.dimensions),
-            )
+            qgraph = graph_builder.build(metadata, attach_datastore_records=args.qgraph_datastore_records)
             if args.show_qgraph_header:
                 qgraph.buildAndPrintHeader()
 
@@ -666,6 +667,7 @@ def makeGraph(self, pipeline: Pipeline, args: SimpleNamespace) -> QuantumGraph |
         self._summarize_qgraph(qgraph)
 
         if args.save_qgraph:
+            _LOG.verbose("Writing QuantumGraph to %r.", args.save_qgraph)
             qgraph.saveUri(args.save_qgraph)
 
         if args.save_single_quanta:
@@ -675,9 +677,11 @@ def makeGraph(self, pipeline: Pipeline, args: SimpleNamespace) -> QuantumGraph |
                 sqgraph.saveUri(uri)
 
         if args.qgraph_dot:
+            _LOG.verbose("Writing quantum graph DOT visualization to %r.", args.qgraph_dot)
             graph2dot(qgraph, args.qgraph_dot)
 
         if args.execution_butler_location:
+            _LOG.verbose("Writing execution butler to %r.", args.execution_butler_location)
             butler = Butler.from_config(args.butler_config)
             assert isinstance(butler, DirectButler), "Execution butler needs DirectButler"
             newArgs = copy.deepcopy(args)
@@ -775,7 +779,7 @@ def runPipeline(
         # Make butler instance. QuantumGraph should have an output run defined,
         # but we ignore it here and let command line decide actual output run.
         if butler is None:
-            butler = _ButlerFactory.makeWriteButler(args, graph.iterTaskGraph())
+            butler = _ButlerFactory.makeWriteButler(args, graph.pipeline_graph)
 
         if args.skip_existing:
             args.skip_existing_in += (butler.run,)

python/lsst/ctrl/mpexec/dotTools.py

@@ -39,6 +39,7 @@
 import html
 import io
 import re
+import warnings
 from collections.abc import Iterable
 from typing import TYPE_CHECKING, Any
 
@@ -280,7 +281,11 @@ def expand_dimensions(connection: connectionTypes.BaseConnection) -> list[str]:
 
     allDatasets: set[str | tuple[str, str]] = set()
     if isinstance(pipeline, Pipeline):
-        pipeline = pipeline.toExpandedPipeline()
+        # TODO: DM-40639 will rewrite this code and finish off the deprecation
+        # of toExpandedPipeline.
+        with warnings.catch_warnings():
+            warnings.simplefilter("ignore", category=FutureWarning)
+            pipeline = pipeline.toExpandedPipeline()
 
     # The next two lines are a workaround until DM-29658 at which time metadata
     # connections should start working with the above code

python/lsst/ctrl/mpexec/log_capture.py

@@ -33,13 +33,16 @@
 import os
 import shutil
 import tempfile
+import warnings
 from collections.abc import Iterator
 from contextlib import contextmanager, suppress
 from logging import FileHandler
 
 from lsst.daf.butler import Butler, FileDataset, LimitedButler, Quantum
 from lsst.daf.butler.logging import ButlerLogRecordHandler, ButlerLogRecords, ButlerMDC, JsonLogFormatter
 from lsst.pipe.base import InvalidQuantumError, TaskDef
+from lsst.pipe.base.pipeline_graph import TaskNode
+from lsst.utils.introspection import find_outside_stacklevel
 
 _LOG = logging.getLogger(__name__)
 
@@ -85,13 +88,17 @@ def from_full(cls, butler: Butler) -> LogCapture:
         return cls(butler, butler)
 
     @contextmanager
-    def capture_logging(self, taskDef: TaskDef, quantum: Quantum) -> Iterator[_LogCaptureFlag]:
+    def capture_logging(
+        self, task_node: TaskDef | TaskNode, /, quantum: Quantum
+    ) -> Iterator[_LogCaptureFlag]:
         """Configure logging system to capture logs for execution of this task.
 
         Parameters
         ----------
-        taskDef : `lsst.pipe.base.TaskDef`
-            The task definition.
+        task_node : `lsst.pipe.base.TaskDef` or \
+                `~lsst.pipe.base.pipeline_graph.TaskNode`
+            The task definition.  Support for `~lsst.pipe.base.TaskDef` is
+            deprecated and will be removed after v27.
         quantum : `~lsst.daf.butler.Quantum`
             Single Quantum instance.
 
@@ -103,23 +110,37 @@ def capture_logging(self, taskDef: TaskDef, quantum: Quantum) -> Iterator[_LogCa
 
         .. code-block:: py
 
-           with self.capture_logging(taskDef, quantum):
+           with self.capture_logging(task_node, quantum):
                # Run quantum and capture logs.
 
         Ths method can also setup logging to attach task- or
         quantum-specific information to log messages. Potentially this can
         take into account some info from task configuration as well.
         """
         # include quantum dataId and task label into MDC
-        mdc = {"LABEL": taskDef.label, "RUN": ""}
+        mdc = {"LABEL": task_node.label, "RUN": ""}
         if quantum.dataId:
             mdc["LABEL"] += f":{quantum.dataId}"
         if self.full_butler is not None:
             mdc["RUN"] = self.full_butler.run or ""
         ctx = _LogCaptureFlag()
 
+        if isinstance(task_node, TaskDef):
+            # TODO: remove this block and associated docs and annotations on
+            # DM-40443.
+            log_dataset_name = task_node.logOutputDatasetName
+            warnings.warn(
+                "Passing TaskDef instances to LogCapture is deprecated and will not be supported after v27.",
+                FutureWarning,
+                find_outside_stacklevel("lsst.ctrl.mpexec"),
+            )
+        else:
+            log_dataset_name = (
+                task_node.log_output.dataset_type_name if task_node.log_output is not None else None
+            )
+
         # Add a handler to the root logger to capture execution log output.
-        if taskDef.logOutputDatasetName is not None:
+        if log_dataset_name is not None:
             # Either accumulate into ButlerLogRecords or stream JSON records to
             # file and ingest that (ingest is possible only with full butler).
             if self.stream_json_logs and self.full_butler is not None:
@@ -132,7 +153,7 @@ def capture_logging(self, taskDef: TaskDef, quantum: Quantum) -> Iterator[_LogCa
                 tmpdir = tempfile.mkdtemp(prefix="butler-temp-logs-")
 
                 # Construct a file to receive the log records and "touch" it.
-                log_file = os.path.join(tmpdir, f"butler-log-{taskDef.label}.json")
+                log_file = os.path.join(tmpdir, f"butler-log-{task_node.label}.json")
                 with open(log_file, "w"):
                     pass
                 log_handler_file = FileHandler(log_file)
@@ -147,7 +168,7 @@ def capture_logging(self, taskDef: TaskDef, quantum: Quantum) -> Iterator[_LogCa
                     logging.getLogger().removeHandler(log_handler_file)
                     log_handler_file.close()
                     if ctx.store:
-                        self._ingest_log_records(quantum, taskDef.logOutputDatasetName, log_file)
+                        self._ingest_log_records(quantum, log_dataset_name, log_file)
                     shutil.rmtree(tmpdir, ignore_errors=True)
 
             else:
@@ -161,7 +182,7 @@ def capture_logging(self, taskDef: TaskDef, quantum: Quantum) -> Iterator[_LogCa
                     # Ensure that the logs are stored in butler.
                     logging.getLogger().removeHandler(log_handler_memory)
                     if ctx.store:
-                        self._store_log_records(quantum, taskDef.logOutputDatasetName, log_handler_memory)
+                        self._store_log_records(quantum, log_dataset_name, log_handler_memory)
                     log_handler_memory.records.clear()
 
         else: