Change of double type is handled.

CHANGELOG.md

@@ -17,6 +17,15 @@ Changes are grouped as follows
 - `Fixed` for any bug fixes.
 - `Security` in case of vulnerabilities.
 
+## [7.58.7] - 2024-09-06
+### Changed
+- [Feature Preview - alpha] Updated the `Core Model` and added `ExtractorExtension` model handling of the reserved
+  property names `type` and `version` (`cognite.client.data_classed.data_modeling.cdm` and
+  `cognite.client.data_classed.data_modeling.extractor_extension`). Now, these properties are prefixed with
+  the original view external id instead of suffixed with underscore. For example, `CogniteAsset` now has
+  `asset_type` instead of `type_` attribute. This is to avoid confusion with the node type, which is
+  the `type` attribute.
+
 ## [7.58.6] - 2024-09-05
 ### Fixed
 - Data modeling convenience filter `SpaceFilter` now allows listing of global nodes by using `equals`

cognite/client/_version.py

@@ -1,4 +1,4 @@
 from __future__ import annotations
 
-__version__ = "7.58.6"
+__version__ = "7.58.7"
 __api_subversion__ = "20230101"

cognite/client/data_classes/data_modeling/extractor_extensions/v1.py

@@ -329,7 +329,7 @@ class CogniteExtractorTimeSeriesApply(
         space (str): The space where the node is located.
         external_id (str): The external id of the Cognite extractor time series.
         is_step (bool): Defines whether the time series is a step series or not.
-        type_ (Literal["numeric", "string"]): Defines data type of the data points.
+        time_series_type (Literal["numeric", "string"]): Defines data type of the data points.
         name (str | None): Name of the instance
         description (str | None): Description of the instance
         tags (list[str] | None): Text based labels for generic use, limited to 1000
@@ -356,7 +356,7 @@ def __init__(
         external_id: str,
         *,
         is_step: bool,
-        type_: Literal["numeric", "string"],
+        time_series_type: Literal["numeric", "string"],
         name: str | None = None,
         description: str | None = None,
         tags: list[str] | None = None,
@@ -392,7 +392,7 @@ def __init__(
             source_created_user=source_created_user,
             source_updated_user=source_updated_user,
             is_step=is_step,
-            type_=type_,
+            time_series_type=time_series_type,
             source_unit=source_unit,
             unit=unit,
             assets=assets,
@@ -417,7 +417,7 @@ class CogniteExtractorTimeSeries(_CogniteExtractorTimeSeriesProperties, CogniteT
         last_updated_time (int): The number of milliseconds since 00:00:00 Thursday, 1 January 1970, Coordinated Universal Time (UTC), minus leap seconds.
         created_time (int): The number of milliseconds since 00:00:00 Thursday, 1 January 1970, Coordinated Universal Time (UTC), minus leap seconds.
         is_step (bool): Defines whether the time series is a step series or not.
-        type_ (Literal["numeric", "string"]): Defines data type of the data points.
+        time_series_type (Literal["numeric", "string"]): Defines data type of the data points.
         name (str | None): Name of the instance
         description (str | None): Description of the instance
         tags (list[str] | None): Text based labels for generic use, limited to 1000
@@ -447,7 +447,7 @@ def __init__(
         created_time: int,
         *,
         is_step: bool,
-        type_: Literal["numeric", "string"],
+        time_series_type: Literal["numeric", "string"],
         name: str | None = None,
         description: str | None = None,
         tags: list[str] | None = None,
@@ -486,7 +486,7 @@ def __init__(
             source_created_user=source_created_user,
             source_updated_user=source_updated_user,
             is_step=is_step,
-            type_=type_,
+            time_series_type=time_series_type,
             source_unit=source_unit,
             unit=unit,
             assets=assets,
@@ -511,7 +511,7 @@ def as_write(self) -> CogniteExtractorTimeSeriesApply:
             self.space,
             self.external_id,
             is_step=self.is_step,
-            type_=self.type_,
+            time_series_type=self.time_series_type,
             name=self.name,
             description=self.description,
             tags=self.tags,

pyproject.toml

@@ -1,7 +1,7 @@
 [tool.poetry]
 name = "cognite-sdk"
 
-version = "7.58.6"
+version = "7.58.7"
 description = "Cognite Python SDK"
 readme = "README.md"
 documentation = "https://cognite-sdk-python.readthedocs-hosted.com"

tests/tests_integration/test_api/test_data_modeling/test_core_model.py

@@ -155,7 +155,7 @@ def core_model_v1_node_test_cases() -> Iterable[ParameterSet]:
         cdm.CogniteTimeSeriesApply(
             space=DATA_SPACE,
             external_id="test_time_series_base",
-            type_="numeric",
+            time_series_type="numeric",
             is_step=False,
             name="Test time series base",
             description="Test time series base for core model v1 tests with Python SDK",

tests/tests_integration/test_api/test_time_series.py

@@ -281,7 +281,7 @@ def test_create_retrieve_update_delete_with_instance_id(
         my_ts = CogniteTimeSeriesApply(
             space=alpha_test_space.space,
             external_id="ts_python_sdk_instance_id_tests",
-            type_="numeric",
+            time_series_type="numeric",
             is_step=False,
             source_unit="pressure:psi",
             name="Create Retrieve Delete with instance_id",

tests/tests_unit/test_data_classes/test_cdm/test_v1.py

@@ -51,7 +51,7 @@ def test_dump(self) -> None:
             "my_model",
             name="The model",
             description="A model",
-            type_="PointCloud",
+            model_type="PointCloud",
             aliases=["alias1", "alias2"],
             tags=["tag1", "tag2"],
         )

tests/tests_unit/test_data_classes/test_data_models/test_typed_instances.py

@@ -328,7 +328,7 @@ def cognite_asset_kwargs() -> dict[str, Any]:
         space="my-space",
         external_id="my-xid",
         type=DirectRelationReference("should-be", "at-root"),
-        type_=DirectRelationReference("should-be", "in-properties"),
+        asset_type=DirectRelationReference("should-be", "in-properties"),
         source_created_time=datetime(2020, 1, 1),
     )