Replace Pydantic .dict() with .model_dump()

The .dict() method is deprecated in Pydantic V2 (PydanticDeprecatedSince20)
and slated for removal in V3. The identically-behaving replacement is
.model_dump() — all existing keyword arguments (exclude_unset,
exclude, by_alias) are supported unchanged.

Galaxy has already completed the bulk of the Pydantic v2 migration; these
are the straggling call sites still emitting deprecation warnings in CI.
This commit is contained in:
mvdbeek
2026-04-15 12:45:03 +02:00
parent 78603081b2
commit 53c1f5ce9b
7 changed files with 10 additions and 10 deletions
+1 -1
View File
@@ -10230,7 +10230,7 @@ class WorkflowInvocation(Base, UsesCreateAndUpdateTime, Dictifiable, Serializabl
def add_message(self, message: "InvocationMessageUnion"):
message_dict = message.dict(
message_dict = message.model_dump(
exclude_unset=True,
exclude={"history_id"}, # history_id comes in through workflow_invocation and isn't persisted in database
)
@@ -472,7 +472,7 @@ class ToolOutputCollectionStructure:
return collection_prototype
def to_dict(self):
return self.to_model().dict()
return self.to_model().model_dump()
def to_model(self) -> ToolOutputCollectionStructureModel:
discover_datasets = []
+1 -1
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@@ -145,7 +145,7 @@ def _description_from_tool_source(
request_schema: Optional[Dict[str, Any]] = None
if request_and_schema:
request = request_and_schema.request.input_state
request_schema = request_and_schema.request_schema.dict()
request_schema = request_and_schema.request_schema.model_dump()
value_state_representation = raw_test_dict.get("value_state_representation", "test_case_xml")
tool_id, tool_version = _tool_id_and_version(tool_source, tool_guid)
+3 -3
View File
@@ -2052,12 +2052,12 @@ def src_id_to_item(
for item in adapting:
element = TransientCollectionAdapterDatasetInstanceElement(
item.name,
cast(HistoryDatasetAssociation, src_id_to_item(sa_session, item.dict(), security)),
cast(HistoryDatasetAssociation, src_id_to_item(sa_session, item.model_dump(), security)),
)
elements.append(element)
return recover_adapter(elements, adapter_model)
else:
value = adapting.dict()
value = adapting.model_dump()
src_to_class = {
"hda": HistoryDatasetAssociation,
"ldda": LibraryDatasetDatasetAssociation,
@@ -2994,7 +2994,7 @@ def history_item_to_json(value, app, use_security):
collection_adapter: Optional[CollectionAdapter] = None
if isinstance(value, CollectionAdapter):
collection_adapter = value
return collection_adapter.to_adapter_model().dict()
return collection_adapter.to_adapter_model().model_dump()
if isinstance(value, MutableMapping) and "src" in value and "id" in value:
return value
elif isinstance(value, DatasetCollectionElement):
@@ -182,7 +182,7 @@ class DatasetCollectionsService(ServiceBase, UsesLibraryMixinItems):
:returns: element view of new dataset collection
"""
# TODO: Error handling...
create_params = api_payload_to_create_params(payload.dict(exclude_unset=True, by_alias=True))
create_params = api_payload_to_create_params(payload.model_dump(exclude_unset=True, by_alias=True))
if payload.instance_type == "history":
if payload.history_id is None:
raise exceptions.RequestParameterInvalidException("Parameter history_id is required.")
@@ -395,7 +395,7 @@ class HistoriesService(ServiceBase, ConsumesModelStores, ServesExportStores):
duration=short_term_storage_target.duration,
user=trans.async_request_user,
export_association_id=export_association.id,
**payload.dict(),
**payload.model_dump(),
)
result = prepare_history_download.delay(request=request, task_user_id=getattr(trans.user, "id", None))
task_summary = async_task_summary(result)
@@ -412,7 +412,7 @@ class HistoriesService(ServiceBase, ConsumesModelStores, ServesExportStores):
user=trans.async_request_user,
history_id=history.id,
export_association_id=export_association.id,
**payload.dict(),
**payload.model_dump(),
)
result = write_history_to.delay(request=request, task_user_id=getattr(trans.user, "id", None))
task_summary = async_task_summary(result)
+1 -1
View File
@@ -59,4 +59,4 @@ class ModelCache:
if not os.path.exists(parent_directory):
os.makedirs(parent_directory)
with open(cache_target, "w") as f:
json.dump(model_object.dict(), f)
json.dump(model_object.model_dump(), f)