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Use model_construct in direct methods
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If the BaseModel.construct() method is slow we can still
reimplement it as was done in the individual direct() methods
but with the direct() methods still being much simpler.
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@timj
timj committed Jul 19, 2023
1 parent fce6d3a commit 44d0345
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Showing 8 changed files with 52 additions and 162 deletions.
50 changes: 13 additions & 37 deletions python/lsst/daf/butler/_quantum_backed.py
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Original file line number Diff line number Diff line change
Expand Up @@ -31,7 +31,7 @@
from typing import TYPE_CHECKING, Any

from deprecated.sphinx import deprecated
from lsst.daf.butler._compat import PYDANTIC_V2, _BaseModelCompat
from lsst.daf.butler._compat import _BaseModelCompat
from lsst.resources import ResourcePathExpression

from ._butlerConfig import ButlerConfig
Expand Down Expand Up @@ -745,40 +745,16 @@ def _to_uuid_set(uuids: Iterable[str | uuid.UUID]) -> set[uuid.UUID]:
"""
return {uuid.UUID(id) if isinstance(id, str) else id for id in uuids}

if PYDANTIC_V2:
data = cls.model_construct(
_fields_set={
"predicted_inputs",
"available_inputs",
"actual_inputs",
"predicted_outputs",
"actual_outputs",
"datastore_records",
},
predicted_inputs=_to_uuid_set(predicted_inputs),
available_inputs=_to_uuid_set(available_inputs),
actual_inputs=_to_uuid_set(actual_inputs),
predicted_outputs=_to_uuid_set(predicted_outputs),
actual_outputs=_to_uuid_set(actual_outputs),
datastore_records={
key: SerializedDatastoreRecordData.direct(**records)
for key, records in datastore_records.items()
},
)
else:
data = QuantumProvenanceData.__new__(cls)
setter = object.__setattr__
setter(data, "predicted_inputs", _to_uuid_set(predicted_inputs))
setter(data, "available_inputs", _to_uuid_set(available_inputs))
setter(data, "actual_inputs", _to_uuid_set(actual_inputs))
setter(data, "predicted_outputs", _to_uuid_set(predicted_outputs))
setter(data, "actual_outputs", _to_uuid_set(actual_outputs))
setter(
data,
"datastore_records",
{
key: SerializedDatastoreRecordData.direct(**records)
for key, records in datastore_records.items()
},
)
data = cls.model_construct(
predicted_inputs=_to_uuid_set(predicted_inputs),
available_inputs=_to_uuid_set(available_inputs),
actual_inputs=_to_uuid_set(actual_inputs),
predicted_outputs=_to_uuid_set(predicted_outputs),
actual_outputs=_to_uuid_set(actual_outputs),
datastore_records={
key: SerializedDatastoreRecordData.direct(**records)
for key, records in datastore_records.items()
},
)

return data
28 changes: 9 additions & 19 deletions python/lsst/daf/butler/core/datasets/ref.py
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Expand Up @@ -35,7 +35,7 @@
from collections.abc import Iterable
from typing import TYPE_CHECKING, Any, ClassVar, Protocol, TypeAlias, runtime_checkable

from lsst.daf.butler._compat import PYDANTIC_V2, _BaseModelCompat
from lsst.daf.butler._compat import _BaseModelCompat
from lsst.utils.classes import immutable
from pydantic import StrictStr, validator

Expand Down Expand Up @@ -226,24 +226,14 @@ def direct(
)
serialized_dataId = SerializedDataCoordinate.direct(**dataId) if dataId is not None else None

if PYDANTIC_V2:
node = cls.model_construct(
_fields_set=_serializedDatasetRefFieldsSet,
id=uuid.UUID(id),
datasetType=serialized_datasetType,
dataId=serialized_dataId,
run=sys.intern(run),
component=component,
)
else:
node = SerializedDatasetRef.__new__(cls)
setter = object.__setattr__
setter(node, "id", uuid.UUID(id))
setter(node, "datasetType", serialized_datasetType)
setter(node, "dataId", serialized_dataId)
setter(node, "run", sys.intern(run))
setter(node, "component", component)
setter(node, "__fields_set__", _serializedDatasetRefFieldsSet)
node = cls.model_construct(
_fields_set=_serializedDatasetRefFieldsSet,
id=uuid.UUID(id),
datasetType=serialized_datasetType,
dataId=serialized_dataId,
run=sys.intern(run),
component=component,
)

return node

Expand Down
30 changes: 8 additions & 22 deletions python/lsst/daf/butler/core/datasets/type.py
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Expand Up @@ -29,7 +29,7 @@
from types import MappingProxyType
from typing import TYPE_CHECKING, Any, ClassVar

from lsst.daf.butler._compat import PYDANTIC_V2, _BaseModelCompat
from lsst.daf.butler._compat import _BaseModelCompat
from pydantic import StrictBool, StrictStr

from ..configSupport import LookupKey
Expand Down Expand Up @@ -85,27 +85,13 @@ def direct(
SerializedDimensionGraph.direct(**dimensions) if dimensions is not None else None
)

if PYDANTIC_V2:
node = cls.model_construct(
name=name,
storageClass=storageClass,
dimensions=serialized_dimensions,
parentStorageClass=parentStorageClass,
isCalibration=isCalibration,
)
else:
node = SerializedDatasetType.__new__(cls)
setter = object.__setattr__
setter(node, "name", name)
setter(node, "storageClass", storageClass)
setter(node, "dimensions", serialized_dimensions)
setter(node, "parentStorageClass", parentStorageClass)
setter(node, "isCalibration", isCalibration)
setter(
node,
"__fields_set__",
{"name", "storageClass", "dimensions", "parentStorageClass", "isCalibration"},
)
node = cls.model_construct(
name=name,
storageClass=storageClass,
dimensions=serialized_dimensions,
parentStorageClass=parentStorageClass,
isCalibration=isCalibration,
)

if cache is not None:
cache[key] = node
Expand Down
17 changes: 6 additions & 11 deletions python/lsst/daf/butler/core/datastoreRecordData.py
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Original file line number Diff line number Diff line change
Expand Up @@ -86,18 +86,13 @@ def direct(
if (id := record.get("dataset_id")) is not None:
record["dataset_id"] = uuid.UUID(id) if isinstance(id, str) else id

if PYDANTIC_V2:
data = cls.model_construct(
_fields_set={"dataset_ids", "records"},
dataset_ids=[uuid.UUID(id) if isinstance(id, str) else id for id in dataset_ids],
records=records,
)
else:
data = SerializedDatastoreRecordData.__new__(cls)
setter = object.__setattr__
data = cls.model_construct(
_fields_set={"dataset_ids", "records"},
# JSON makes strings out of UUIDs, need to convert them back
setter(data, "dataset_ids", [uuid.UUID(id) if isinstance(id, str) else id for id in dataset_ids])
setter(data, "records", records)
dataset_ids=[uuid.UUID(id) if isinstance(id, str) else id for id in dataset_ids],
records=records,
)

return data


Expand Down
11 changes: 2 additions & 9 deletions python/lsst/daf/butler/core/dimensions/_coordinate.py
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Original file line number Diff line number Diff line change
Expand Up @@ -34,7 +34,7 @@
from typing import TYPE_CHECKING, Any, ClassVar, Literal, overload

from deprecated.sphinx import deprecated
from lsst.daf.butler._compat import PYDANTIC_V2, _BaseModelCompat
from lsst.daf.butler._compat import _BaseModelCompat
from lsst.sphgeom import IntersectionRegion, Region

from ..json import from_json_pydantic, to_json_pydantic
Expand Down Expand Up @@ -89,14 +89,7 @@ def direct(
else:
serialized_records = {k: SerializedDimensionRecord.direct(**v) for k, v in records.items()}

if PYDANTIC_V2:
node = cls.model_construct(dataId=dataId, records=serialized_records)
else:
node = SerializedDataCoordinate.__new__(cls)
setter = object.__setattr__
setter(node, "dataId", dataId)
setter(node, "records", serialized_records)
setter(node, "__fields_set__", {"dataId", "records"})
node = cls.model_construct(dataId=dataId, records=serialized_records)

if cache is not None:
cache[key] = node
Expand Down
10 changes: 2 additions & 8 deletions python/lsst/daf/butler/core/dimensions/_graph.py
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Original file line number Diff line number Diff line change
Expand Up @@ -28,7 +28,7 @@
from types import MappingProxyType
from typing import TYPE_CHECKING, Any, ClassVar

from lsst.daf.butler._compat import PYDANTIC_V2, _BaseModelCompat
from lsst.daf.butler._compat import _BaseModelCompat
from lsst.utils.classes import cached_getter, immutable

from .._topology import TopologicalFamily, TopologicalSpace
Expand Down Expand Up @@ -57,13 +57,7 @@ def direct(cls, *, names: list[str]) -> SerializedDimensionGraph:
This method should only be called when the inputs are trusted.
"""
if PYDANTIC_V2:
return cls.model_construct(names=names)
else:
node = SerializedDimensionGraph.__new__(cls)
object.__setattr__(node, "names", names)
object.__setattr__(node, "__fields_set__", {"names"})
return node
return cls.model_construct(names=names)


@immutable
Expand Down
10 changes: 1 addition & 9 deletions python/lsst/daf/butler/core/dimensions/_records.py
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Original file line number Diff line number Diff line change
Expand Up @@ -186,15 +186,7 @@ def direct(
# transform to tuples
serialized_record = {k: v if type(v) != list else tuple(v) for k, v in record.items()} # type: ignore

if PYDANTIC_V2:
node = cls.model_construct(definition=definition, record=serialized_record) # type: ignore
else:
node = SerializedDimensionRecord.__new__(cls)
setter = object.__setattr__
setter(node, "definition", definition)
setter(node, "record", serialized_record)

setter(node, "__fields_set__", {"definition", "record"})
node = cls.model_construct(definition=definition, record=serialized_record) # type: ignore

if cache is not None:
cache[key] = node
Expand Down
58 changes: 11 additions & 47 deletions python/lsst/daf/butler/core/quantum.py
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Original file line number Diff line number Diff line change
Expand Up @@ -28,7 +28,7 @@
from collections.abc import Iterable, Mapping, MutableMapping, Sequence
from typing import Any

from lsst.daf.butler._compat import PYDANTIC_V2, _BaseModelCompat
from lsst.daf.butler._compat import _BaseModelCompat
from lsst.utils import doImportType
from lsst.utils.introspection import find_outside_stacklevel

Expand Down Expand Up @@ -126,52 +126,16 @@ def direct(
else None
)

if PYDANTIC_V2:
node = cls.model_construct(
_fields_set={
"taskName",
"dataId",
"datasetTypeMapping",
"initInputs",
"inputs",
"outputs",
"dimensionRecords",
"datastoreRecords",
},
taskName=sys.intern(taskName or ""),
dataId=serialized_dataId,
datasetTypeMapping=serialized_datasetTypeMapping,
initInputs=serialized_initInputs,
inputs=serialized_inputs,
outputs=serialized_outputs,
dimensionRecords=serialized_records,
datastoreRecords=serialized_datastore_records,
)
else:
node = SerializedQuantum.__new__(cls)
setter = object.__setattr__
setter(node, "taskName", sys.intern(taskName or ""))
setter(node, "dataId", serialized_dataId)
setter(node, "datasetTypeMapping", serialized_datasetTypeMapping)
setter(node, "initInputs", serialized_initInputs)
setter(node, "inputs", serialized_inputs)
setter(node, "outputs", serialized_outputs)
setter(node, "dimensionRecords", serialized_records)
setter(node, "datastoreRecords", serialized_datastore_records)
setter(
node,
"__fields_set__",
{
"taskName",
"dataId",
"datasetTypeMapping",
"initInputs",
"inputs",
"outputs",
"dimensionRecords",
"datastoreRecords",
},
)
node = cls.model_construct(
taskName=sys.intern(taskName or ""),
dataId=serialized_dataId,
datasetTypeMapping=serialized_datasetTypeMapping,
initInputs=serialized_initInputs,
inputs=serialized_inputs,
outputs=serialized_outputs,
dimensionRecords=serialized_records,
datastoreRecords=serialized_datastore_records,
)

return node

Expand Down

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