diff --git a/.codegen/_last_sha b/.codegen/_last_sha new file mode 100644 index 000000000..89ae0b951 --- /dev/null +++ b/.codegen/_last_sha @@ -0,0 +1 @@ +9ce12048f2c4a4fefb93fc3f55cba9c9798f9cb6 \ No newline at end of file diff --git a/.codegen/_openapi_sha b/.codegen/_openapi_sha new file mode 100755 index 000000000..89ae0b951 --- /dev/null +++ b/.codegen/_openapi_sha @@ -0,0 +1 @@ +9ce12048f2c4a4fefb93fc3f55cba9c9798f9cb6 \ No newline at end of file diff --git a/.gitattributes b/.gitattributes index 727d36594..1bfa3b14e 100755 --- a/.gitattributes +++ b/.gitattributes @@ -1,10 +1,13 @@ databricks/sdk/__init__.py linguist-generated=true databricks/sdk/errors/overrides.py linguist-generated=true databricks/sdk/errors/platform.py linguist-generated=true +databricks/sdk/service/__init__.py linguist-generated=true +databricks/sdk/service/_internal.py linguist-generated=true databricks/sdk/service/agentbricks.py linguist-generated=true databricks/sdk/service/aisearch.py linguist-generated=true databricks/sdk/service/apps.py linguist-generated=true databricks/sdk/service/billing.py linguist-generated=true +databricks/sdk/service/bundle.py linguist-generated=true databricks/sdk/service/bundledeployments.py linguist-generated=true databricks/sdk/service/catalog.py linguist-generated=true databricks/sdk/service/cleanrooms.py linguist-generated=true diff --git a/.github/workflows/tagging.yml b/.github/workflows/tagging.yml index d240f16ee..d30ee1665 100644 --- a/.github/workflows/tagging.yml +++ b/.github/workflows/tagging.yml @@ -35,6 +35,15 @@ jobs: github.repository == 'databricks/databricks-sdk-go' || github.repository == 'databricks/databricks-sdk-py' || github.repository == 'databricks/databricks-sdk-java' + env: + # Ref the release is cut from. Releasing from a branch is currently + # supported in the terraform repository only: for + # terraform-provider-databricks this follows the dispatched branch + # (``github.ref_name``), so a release can be cut from a branch other + # than main; every other synced repo (SDK go/py/java, …) stays pinned + # to main, preserving the pre-existing hardcoded-main behaviour and + # blocking branch releases even via a manual non-main dispatch. + RELEASE_REF: ${{ github.repository == 'databricks/terraform-provider-databricks' && github.ref_name || 'main' }} environment: "release-is" runs-on: group: databricks-protected-runner-group @@ -50,12 +59,19 @@ jobs: - name: Checkout repository uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 with: - # Force re-resolution of ``main`` at step time. Without - # ``ref:``, checkout pins to ``github.sha`` — the SHA frozen - # at workflow_dispatch time — which means re-running a stale - # dispatch checks out an older main even when newer commits - # exist. - ref: main + # Check out the release ref. ``RELEASE_REF`` is the dispatched + # branch for terraform-provider-databricks and ``main`` for every + # other repo (see the job-level ``env``). For scheduled runs and + # manual dispatches left at defaults this is the default branch + # (main); dispatching terraform with ``--ref `` cuts the + # release from that branch instead. + # + # Naming the ref explicitly (rather than omitting ``ref:``) + # forces re-resolution of the branch head at step time. Without + # it, checkout pins to ``github.sha`` — the SHA frozen at + # workflow_dispatch time — so re-running a stale dispatch would + # check out an older commit even when newer ones exist. + ref: ${{ env.RELEASE_REF }} fetch-depth: 0 token: ${{ steps.generate-token.outputs.token }} @@ -73,6 +89,12 @@ jobs: GITHUB_TOKEN: ${{ steps.generate-token.outputs.token }} GITHUB_REPOSITORY: ${{ github.repository }} PACKAGES: ${{ inputs.packages }} + # Branch the release is cut from. tagging.py commits the + # changelog bump and creates the tag on this branch, and its + # concurrent-advance guard checks this branch. Matches the ref + # checked out above (``RELEASE_REF``): the dispatched branch for + # terraform, main everywhere else. + DECO_TAGGING_REF: ${{ env.RELEASE_REF }} run: | if [ -n "$PACKAGES" ]; then uv run --locked tagging.py --package "$PACKAGES" diff --git a/CHANGELOG.md b/CHANGELOG.md index 8618891f0..d85b807cc 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,50 @@ # Version changelog +## Release v0.122.0 (2026-07-21) + +### API Changes +* Add `list_clean_room_task_runs_handler()` method for [w.clean_room_task_runs](https://databricks-sdk-py.readthedocs.io/en/latest/workspace/cleanrooms/clean_room_task_runs.html) workspace-level service. +* Add `create_cdf_config()`, `delete_cdf_config()`, `get_cdf_config()`, `get_cdf_status()`, `list_cdf_configs()` and `list_cdf_statuses()` methods for [w.postgres](https://databricks-sdk-py.readthedocs.io/en/latest/workspace/postgres/postgres.html) workspace-level service. +* Add `initial_parent_path` field for `databricks.sdk.service.bundledeployments.Deployment`. +* Add `parent` field for `databricks.sdk.service.catalog.CreateConnection`. +* Add `parent` field for `databricks.sdk.service.catalog.ListConnectionsRequest`. +* Add `enable_shared_output` field for `databricks.sdk.service.cleanrooms.CleanRoom`. +* Add `jar_analysis` field for `databricks.sdk.service.cleanrooms.CleanRoomAsset`. +* Add `description` and `environment_version` fields for `databricks.sdk.service.cleanrooms.CleanRoomAssetNotebook`. +* Add `shared_output_schema_expiration_time` and `shared_output_schema_name` fields for `databricks.sdk.service.cleanrooms.CleanRoomNotebookTaskRun`. +* Add `enable_shared_output` and `package_provider_collaborator_alias` fields for `databricks.sdk.service.cleanrooms.CleanRoomRemoteDetail`. +* Add `jar_analysis_review` field for `databricks.sdk.service.cleanrooms.CreateCleanRoomAssetReviewRequest`. +* Add `jar_analysis_review_state` and `jar_analysis_reviews` fields for `databricks.sdk.service.cleanrooms.CreateCleanRoomAssetReviewResponse`. +* Add `capacity_reservation_group` field for `databricks.sdk.service.compute.InstancePoolAzureAttributes`. +* Add `effective_workspace_id` field for `databricks.sdk.service.disasterrecovery.StableUrl`. +* Add `performance_target` field for `databricks.sdk.service.jobs.SubmitRun`. +* Add `dataframe_schema` and `transformation_sql` fields for `databricks.sdk.service.ml.StreamSource`. +* Add `lifetime` and `sawtooth` fields for `databricks.sdk.service.ml.TimeWindow`. +* Add `effective_table_prefix` field for `databricks.sdk.service.ml.UcTraceLocation`. +* Add `aws_vpc_endpoint_info` and `gcp_psc_endpoint_info` fields for `databricks.sdk.service.networking.Endpoint`. +* Add `reddit_ads_options` field for `databricks.sdk.service.pipelines.ConnectorOptions`. +* Add `custom_report_options` field for `databricks.sdk.service.pipelines.GoogleAdsOptions`. +* Add `custom_report_options` field for `databricks.sdk.service.pipelines.MetaMarketingOptions`. +* Add `source_metadata_column` field for `databricks.sdk.service.pipelines.TableSpecificConfig`. +* Add `custom_report_options` field for `databricks.sdk.service.pipelines.TikTokAdsOptions`. +* Add `table_names` and `telemetry_profile_id` fields for `databricks.sdk.service.serving.TelemetryConfig`. +* Add `git_cli_enabled` field for `databricks.sdk.service.workspace.GetRepoResponse`. +* Add `jdbc` enum value for `databricks.sdk.service.catalog.ConnectionType`. +* Add `jar_analysis` enum value for `databricks.sdk.service.cleanrooms.CleanRoomAssetAssetType`. +* Add `minutes` enum value for `databricks.sdk.service.jobs.PeriodicTriggerConfigurationTimeUnit`. +* Add `ksa_ecc_ccc_dcc` enum value for `databricks.sdk.service.settings.ComplianceStandard`. +* [Breaking] Change `create_workspace_assignment_detail()`, `delete_workspace_assignment_detail()`, `get_workspace_access_detail()`, `get_workspace_assignment_detail()`, `list_workspace_assignment_details()`, `resolve_group()`, `resolve_service_principal()`, `resolve_user()` and `update_workspace_assignment_detail()` methods for [a.account_iam_v2](https://databricks-sdk-py.readthedocs.io/en/latest/account/iamv2/account_iam_v2.html) account-level service. Method path has changed. +* [Breaking] Change `create_workspace_assignment_detail_proxy()`, `delete_workspace_assignment_detail_proxy()`, `get_workspace_access_detail_local()`, `get_workspace_assignment_detail_proxy()`, `list_workspace_assignment_details_proxy()`, `resolve_group_proxy()`, `resolve_service_principal_proxy()`, `resolve_user_proxy()` and `update_workspace_assignment_detail_proxy()` methods for [w.workspace_iam_v2](https://databricks-sdk-py.readthedocs.io/en/latest/workspace/iamv2/workspace_iam_v2.html) workspace-level service. Method path has changed. +* [Breaking] Change `internal_id` field for `databricks.sdk.service.iamv2.Group` to type `str` dataclass. +* [Breaking] Change `internal_id` field for `databricks.sdk.service.iamv2.ServicePrincipal` to type `str` dataclass. +* [Breaking] Change `internal_id` field for `databricks.sdk.service.iamv2.User` to type `str` dataclass. +* Change `window_duration` field for `databricks.sdk.service.ml.RollingWindow` to no longer be required. +* [Breaking] Change `window_duration` field for `databricks.sdk.service.ml.RollingWindow` to no longer be required. +* Change `window_duration` field for `databricks.sdk.service.ml.SlidingWindow` to no longer be required. +* [Breaking] Change `window_duration` field for `databricks.sdk.service.ml.SlidingWindow` to no longer be required. +* [Breaking] Remove `code_source_path` field for `databricks.sdk.service.jobs.AiRuntimeTask`. +* [Breaking] Remove `long_rolling` field for `databricks.sdk.service.ml.TimeWindow`. + ## Release v0.121.0 (2026-07-09) ### API Changes diff --git a/databricks/sdk/__init__.py b/databricks/sdk/__init__.py old mode 100755 new mode 100644 index 0a5f92212..eb7b83a66 --- a/databricks/sdk/__init__.py +++ b/databricks/sdk/__init__.py @@ -595,7 +595,7 @@ def clean_room_auto_approval_rules(self) -> pkg_cleanrooms.CleanRoomAutoApproval @property def clean_room_task_runs(self) -> pkg_cleanrooms.CleanRoomTaskRunsAPI: - """Clean room task runs are the executions of notebooks in a clean room.""" + """Clean room task runs are the executions of notebooks and JAR analyses in a clean room.""" return self._clean_room_task_runs @property diff --git a/databricks/sdk/azure.py b/databricks/sdk/azure.py index 6a9c544d4..81d500c4d 100644 --- a/databricks/sdk/azure.py +++ b/databricks/sdk/azure.py @@ -1,7 +1,8 @@ from typing import TYPE_CHECKING, Dict +from databricks.sdk.service.provisioning import Workspace + from .oauth import TokenSource -from .service.provisioning import Workspace if TYPE_CHECKING: from .config import Config diff --git a/databricks/sdk/dbutils.py b/databricks/sdk/dbutils.py index b69668950..df8d3ccd5 100644 --- a/databricks/sdk/dbutils.py +++ b/databricks/sdk/dbutils.py @@ -9,10 +9,11 @@ from dataclasses import dataclass from typing import Any, Callable, Dict, List, Optional +from databricks.sdk.service import compute, workspace + from .core import ApiClient, Config, DatabricksError from .mixins import compute as compute_ext from .mixins import files as dbfs_ext -from .service import compute, workspace _LOG = logging.getLogger("databricks.sdk") diff --git a/databricks/sdk/errors/__init__.py b/databricks/sdk/errors/__init__.py index 96e5b4304..552dcb9f3 100644 --- a/databricks/sdk/errors/__init__.py +++ b/databricks/sdk/errors/__init__.py @@ -1,9 +1,10 @@ -# Re-exports the public errors API; star imports from .platform and .sdk are intentional. +# Re-exports the public errors API; the star imports below are intentional. # ruff: noqa: F401, F403, F405, F811 +from databricks.sdk.errors.platform import * + from .base import DatabricksError, ErrorDetail from .customizer import _ErrorCustomizer from .parser import _Parser -from .platform import * from .private_link import PrivateLinkValidationError from .sdk import * diff --git a/databricks/sdk/errors/mapper.py b/databricks/sdk/errors/mapper.py index c3bb5b54c..f7b917723 100644 --- a/databricks/sdk/errors/mapper.py +++ b/databricks/sdk/errors/mapper.py @@ -2,8 +2,7 @@ from databricks.sdk.errors import platform from databricks.sdk.errors.base import DatabricksError - -from .overrides import _ALL_OVERRIDES +from databricks.sdk.errors.overrides import _ALL_OVERRIDES def _error_mapper(response: requests.Response, raw: dict) -> DatabricksError: diff --git a/databricks/sdk/errors/platform.py b/databricks/sdk/errors/platform.py old mode 100755 new mode 100644 diff --git a/databricks/sdk/errors/private_link.py b/databricks/sdk/errors/private_link.py index e188b59e1..4d801e952 100644 --- a/databricks/sdk/errors/private_link.py +++ b/databricks/sdk/errors/private_link.py @@ -3,8 +3,9 @@ import requests +from databricks.sdk.errors.platform import PermissionDenied + from ..environments import Cloud, get_environment_for_hostname -from .platform import PermissionDenied @dataclass diff --git a/databricks/sdk/mixins/files.py b/databricks/sdk/mixins/files.py index 787dd52ae..a1f8923f1 100644 --- a/databricks/sdk/mixins/files.py +++ b/databricks/sdk/mixins/files.py @@ -28,15 +28,16 @@ import requests.adapters from requests import RequestException +from databricks.sdk.service import files +from databricks.sdk.service._internal import _escape_multi_segment_path_parameter +from databricks.sdk.service.files import DownloadResponse + from .._base_client import _BaseClient, _RawResponse, _StreamingResponse from .._property import _cached_property from ..config import Config from ..errors import AlreadyExists, InternalError, NotFound, PermissionDenied from ..errors.mapper import _error_mapper from ..retries import retried -from ..service import files -from ..service._internal import _escape_multi_segment_path_parameter -from ..service.files import DownloadResponse from .files_utils import CreateDownloadUrlResponse, _ConcatenatedInputStream, _PresignedUrlDistributor if TYPE_CHECKING: diff --git a/databricks/sdk/mixins/workspace.py b/databricks/sdk/mixins/workspace.py index a85f5e7a0..e2ee30800 100644 --- a/databricks/sdk/mixins/workspace.py +++ b/databricks/sdk/mixins/workspace.py @@ -1,7 +1,8 @@ from typing import Any, BinaryIO, Iterator, Optional, Union +from databricks.sdk.service.workspace import ExportFormat, ImportFormat, Language, ObjectInfo, ObjectType, WorkspaceAPI + from ..core import DatabricksError -from ..service.workspace import ExportFormat, ImportFormat, Language, ObjectInfo, ObjectType, WorkspaceAPI def _fqcn(x: Any) -> str: diff --git a/databricks/sdk/service/agentbricks.py b/databricks/sdk/service/agentbricks.py old mode 100755 new mode 100644 diff --git a/databricks/sdk/service/aisearch.py b/databricks/sdk/service/aisearch.py old mode 100755 new mode 100644 diff --git a/databricks/sdk/service/apps.py b/databricks/sdk/service/apps.py old mode 100755 new mode 100644 diff --git a/databricks/sdk/service/billing.py b/databricks/sdk/service/billing.py old mode 100755 new mode 100644 index e37d2aa52..df51a5e10 --- a/databricks/sdk/service/billing.py +++ b/databricks/sdk/service/billing.py @@ -821,7 +821,9 @@ class Filter: """The policy creator user id to be filtered on. If unspecified, all policies will be returned.""" creator_user_name: Optional[str] = None - """The policy creator user name to be filtered on. If unspecified, all policies will be returned.""" + """Deprecated: Do not use this field in new integrations. Creator filtering will be removed in a + future version. The policy creator user name to be filtered on. If unspecified, all policies + will be returned.""" policy_name: Optional[str] = None """The partial name of policies to be filtered on. If unspecified, all policies will be returned.""" diff --git a/databricks/sdk/service/bundle.py b/databricks/sdk/service/bundle.py old mode 100755 new mode 100644 diff --git a/databricks/sdk/service/bundledeployments.py b/databricks/sdk/service/bundledeployments.py old mode 100755 new mode 100644 index e1abeedc7..a2e9ee1be --- a/databricks/sdk/service/bundledeployments.py +++ b/databricks/sdk/service/bundledeployments.py @@ -55,6 +55,13 @@ class Deployment: git_info: Optional[GitInfo] = None """Git provenance of the deployment's source, derived from the latest version.""" + initial_parent_path: Optional[str] = None + """The workspace path of the folder where the deployment is initially created. Includes a leading + slash and no trailing slash. On create, the deployment is registered as a typed + BUNDLE_DEPLOYMENT tree node under this folder, which must already exist. This field is input + only and is not returned in create, get, or list responses. The service rejects create requests + that omit it.""" + last_version_id: Optional[str] = None """The version_id of the most recent deployment version.""" @@ -91,6 +98,8 @@ def as_dict(self) -> dict: body["display_name"] = self.display_name if self.git_info: body["git_info"] = self.git_info.as_dict() + if self.initial_parent_path is not None: + body["initial_parent_path"] = self.initial_parent_path if self.last_version_id is not None: body["last_version_id"] = self.last_version_id if self.name is not None: @@ -122,6 +131,8 @@ def as_shallow_dict(self) -> dict: body["display_name"] = self.display_name if self.git_info: body["git_info"] = self.git_info + if self.initial_parent_path is not None: + body["initial_parent_path"] = self.initial_parent_path if self.last_version_id is not None: body["last_version_id"] = self.last_version_id if self.name is not None: @@ -147,6 +158,7 @@ def from_dict(cls, d: Dict[str, Any]) -> Deployment: destroyed_by=d.get("destroyed_by", None), display_name=d.get("display_name", None), git_info=_from_dict(d, "git_info", GitInfo), + initial_parent_path=d.get("initial_parent_path", None), last_version_id=d.get("last_version_id", None), name=d.get("name", None), status=_enum(d, "status", DeploymentStatus), @@ -923,7 +935,8 @@ def create_deployment(self, deployment: Deployment, deployment_id: str) -> Deplo resource name. If a deployment with the same ID already exists, the server returns ``ALREADY_EXISTS``. :param deployment: :class:`Deployment` - The deployment to create. + The deployment to create. Caller must set ``initial_parent_path``; every other field is populated by + the service. :param deployment_id: str The ID to use for the deployment, which will become the final component of the deployment's resource name (i.e. ``deployments/{deployment_id}``). diff --git a/databricks/sdk/service/catalog.py b/databricks/sdk/service/catalog.py old mode 100755 new mode 100644 index 70c87f102..9f0dddc93 --- a/databricks/sdk/service/catalog.py +++ b/databricks/sdk/service/catalog.py @@ -1863,6 +1863,7 @@ class ConnectionType(Enum): HIVE_METASTORE = "HIVE_METASTORE" HTTP = "HTTP" HUBSPOT = "HUBSPOT" + JDBC = "JDBC" META_MARKETING = "META_MARKETING" MYSQL = "MYSQL" ORACLE = "ORACLE" @@ -11988,6 +11989,7 @@ def create( *, comment: Optional[str] = None, environment_settings: Optional[EnvironmentSettings] = None, + parent: Optional[str] = None, properties: Optional[Dict[str, str]] = None, read_only: Optional[bool] = None, ) -> ConnectionInfo: @@ -12006,6 +12008,9 @@ def create( User-provided free-form text description. :param environment_settings: :class:`EnvironmentSettings` (optional) [Create,Update:OPT] Connection environment settings as EnvironmentSettings object. + :param parent: str (optional) + Parent schema for schema-level connections, in format "schemas/{catalog}.{schema}". Absent for + metastore-level (L1) connections. :param properties: Dict[str,str] (optional) A map of key-value properties attached to the securable. :param read_only: bool (optional) @@ -12025,6 +12030,8 @@ def create( body["name"] = name if options is not None: body["options"] = options + if parent is not None: + body["parent"] = parent if properties is not None: body["properties"] = properties if read_only is not None: @@ -12080,7 +12087,9 @@ def get(self, name: str) -> ConnectionInfo: res = self._api.do("GET", f"/api/2.1/unity-catalog/connections/{name}", headers=headers) return ConnectionInfo.from_dict(res) - def list(self, *, max_results: Optional[int] = None, page_token: Optional[str] = None) -> Iterator[ConnectionInfo]: + def list( + self, *, max_results: Optional[int] = None, page_token: Optional[str] = None, parent: Optional[str] = None + ) -> Iterator[ConnectionInfo]: """List all connections. NOTE: we recommend using max_results=0 to use the paginated version of this API. Unpaginated calls @@ -12100,6 +12109,9 @@ def list(self, *, max_results: Optional[int] = None, page_token: Optional[str] = - when set to a value less than 0, an invalid parameter error is returned; :param page_token: str (optional) Opaque pagination token to go to next page based on previous query. + :param parent: str (optional) + Optional. Parent schema filter for listing schema-level connections, in format + "schemas/{catalog}.{schema}". :returns: Iterator over :class:`ConnectionInfo` """ @@ -12109,6 +12121,8 @@ def list(self, *, max_results: Optional[int] = None, page_token: Optional[str] = query["max_results"] = max_results if page_token is not None: query["page_token"] = page_token + if parent is not None: + query["parent"] = parent headers = { "Accept": "application/json", } @@ -16041,11 +16055,9 @@ def update_access_request_destinations( ) -> AccessRequestDestinations: """Updates the access request destinations for the given securable. The caller must be a metastore admin, the owner of the securable, or a user that has the **MANAGE** privilege on the securable in order to - assign destinations. Destinations cannot be updated for securables underneath schemas (tables, - volumes, functions, and models). For these securable types, destinations are inherited from the parent - securable. A maximum of 5 emails and 5 external notification destinations (Slack, Microsoft Teams, and - Generic Webhook destinations) can be assigned to a securable. If a URL destination is assigned, no - other destinations can be set. + assign destinations. A maximum of 5 emails and 5 external notification destinations (Slack, Microsoft + Teams, and Generic Webhook destinations) can be assigned to a securable. If a URL destination is + assigned, no other destinations can be set. The supported securable types are: "metastore", "catalog", "schema", "table", "external_location", "connection", "credential", "function", "registered_model", and "volume". diff --git a/databricks/sdk/service/cleanrooms.py b/databricks/sdk/service/cleanrooms.py old mode 100755 new mode 100644 index ab665ca11..1dffeb46b --- a/databricks/sdk/service/cleanrooms.py +++ b/databricks/sdk/service/cleanrooms.py @@ -39,6 +39,11 @@ class CleanRoom: created_at: Optional[int] = None """When the clean room was created, in epoch milliseconds.""" + enable_shared_output: Optional[bool] = None + """Whether allow task to write to shared output schema. When enabled, clean room task runs + triggered by the current collaborator can write to the run-scoped shared output schema which is + accessible by all collaborators.""" + local_collaborator_alias: Optional[str] = None """The alias of the collaborator tied to the local clean room.""" @@ -73,6 +78,8 @@ def as_dict(self) -> dict: body["comment"] = self.comment if self.created_at is not None: body["created_at"] = self.created_at + if self.enable_shared_output is not None: + body["enable_shared_output"] = self.enable_shared_output if self.local_collaborator_alias is not None: body["local_collaborator_alias"] = self.local_collaborator_alias if self.name is not None: @@ -98,6 +105,8 @@ def as_shallow_dict(self) -> dict: body["comment"] = self.comment if self.created_at is not None: body["created_at"] = self.created_at + if self.enable_shared_output is not None: + body["enable_shared_output"] = self.enable_shared_output if self.local_collaborator_alias is not None: body["local_collaborator_alias"] = self.local_collaborator_alias if self.name is not None: @@ -121,6 +130,7 @@ def from_dict(cls, d: Dict[str, Any]) -> CleanRoom: access_restricted=_enum(d, "access_restricted", CleanRoomAccessRestricted), comment=d.get("comment", None), created_at=d.get("created_at", None), + enable_shared_output=d.get("enable_shared_output", None), local_collaborator_alias=d.get("local_collaborator_alias", None), name=d.get("name", None), output_catalog=_from_dict(d, "output_catalog", CleanRoomOutputCatalog), @@ -168,6 +178,10 @@ class CleanRoomAsset: """Local details for a foreign that are only available to its owner. Present if and only if **asset_type** is **FOREIGN_TABLE**""" + jar_analysis: Optional[CleanRoomAssetJarAnalysis] = None + """Jar analysis details available to all collaborators of the clean room. Present if and only if + **asset_type** is **JAR_ANALYSIS**""" + notebook: Optional[CleanRoomAssetNotebook] = None """Notebook details available to all collaborators of the clean room. Present if and only if **asset_type** is **NOTEBOOK_FILE**""" @@ -211,6 +225,8 @@ def as_dict(self) -> dict: body["foreign_table"] = self.foreign_table.as_dict() if self.foreign_table_local_details: body["foreign_table_local_details"] = self.foreign_table_local_details.as_dict() + if self.jar_analysis: + body["jar_analysis"] = self.jar_analysis.as_dict() if self.name is not None: body["name"] = self.name if self.notebook: @@ -244,6 +260,8 @@ def as_shallow_dict(self) -> dict: body["foreign_table"] = self.foreign_table if self.foreign_table_local_details: body["foreign_table_local_details"] = self.foreign_table_local_details + if self.jar_analysis: + body["jar_analysis"] = self.jar_analysis if self.name is not None: body["name"] = self.name if self.notebook: @@ -275,6 +293,7 @@ def from_dict(cls, d: Dict[str, Any]) -> CleanRoomAsset: foreign_table_local_details=_from_dict( d, "foreign_table_local_details", CleanRoomAssetForeignTableLocalDetails ), + jar_analysis=_from_dict(d, "jar_analysis", CleanRoomAssetJarAnalysis), name=d.get("name", None), notebook=_from_dict(d, "notebook", CleanRoomAssetNotebook), owner_collaborator_alias=d.get("owner_collaborator_alias", None), @@ -289,6 +308,7 @@ def from_dict(cls, d: Dict[str, Any]) -> CleanRoomAsset: class CleanRoomAssetAssetType(Enum): FOREIGN_TABLE = "FOREIGN_TABLE" + JAR_ANALYSIS = "JAR_ANALYSIS" NOTEBOOK_FILE = "NOTEBOOK_FILE" TABLE = "TABLE" VIEW = "VIEW" @@ -346,6 +366,93 @@ def from_dict(cls, d: Dict[str, Any]) -> CleanRoomAssetForeignTableLocalDetails: return cls(local_name=d.get("local_name", None)) +@dataclass +class CleanRoomAssetJarAnalysis: + central_jar_file_paths: Optional[List[str]] = None + """The full paths in central to the jar files that are added to the library during execution (e.g. + /Volumes/creator/schema/volume/folder/my_jar_file.jar) Only returned for the owner collaborator.""" + + description: Optional[str] = None + """Optional description of the jar analysis shown to all collaborators.""" + + environment_version: Optional[str] = None + """The serverless environment version used to execute the JAR analysis (e.g. "4"). Defaults to + "4-scala-preview" if not specified.""" + + etag: Optional[str] = None + """Server generated etag that represents the jar analysis version.""" + + main_class_name: Optional[str] = None + """The full name of the class containing the main method to be executed. This class must be + contained in a JAR provided as a library The code must use ``SparkContext.getOrCreate`` to + obtain a Spark context; otherwise, runs of the job fail""" + + review_state: Optional[CleanRoomJarAnalysisReviewJarAnalysisReviewState] = None + """Top-level status derived from all reviews.""" + + reviews: Optional[List[CleanRoomJarAnalysisReview]] = None + """All existing approvals or rejections.""" + + runner_collaborator_aliases: Optional[List[str]] = None + """Collaborators that can run the jar.""" + + def as_dict(self) -> dict: + """Serializes the CleanRoomAssetJarAnalysis into a dictionary suitable for use as a JSON request body.""" + body = {} + if self.central_jar_file_paths: + body["central_jar_file_paths"] = [v for v in self.central_jar_file_paths] + if self.description is not None: + body["description"] = self.description + if self.environment_version is not None: + body["environment_version"] = self.environment_version + if self.etag is not None: + body["etag"] = self.etag + if self.main_class_name is not None: + body["main_class_name"] = self.main_class_name + if self.review_state is not None: + body["review_state"] = self.review_state.value + if self.reviews: + body["reviews"] = [v.as_dict() for v in self.reviews] + if self.runner_collaborator_aliases: + body["runner_collaborator_aliases"] = [v for v in self.runner_collaborator_aliases] + return body + + def as_shallow_dict(self) -> dict: + """Serializes the CleanRoomAssetJarAnalysis into a shallow dictionary of its immediate attributes.""" + body = {} + if self.central_jar_file_paths: + body["central_jar_file_paths"] = self.central_jar_file_paths + if self.description is not None: + body["description"] = self.description + if self.environment_version is not None: + body["environment_version"] = self.environment_version + if self.etag is not None: + body["etag"] = self.etag + if self.main_class_name is not None: + body["main_class_name"] = self.main_class_name + if self.review_state is not None: + body["review_state"] = self.review_state + if self.reviews: + body["reviews"] = self.reviews + if self.runner_collaborator_aliases: + body["runner_collaborator_aliases"] = self.runner_collaborator_aliases + return body + + @classmethod + def from_dict(cls, d: Dict[str, Any]) -> CleanRoomAssetJarAnalysis: + """Deserializes the CleanRoomAssetJarAnalysis from a dictionary.""" + return cls( + central_jar_file_paths=d.get("central_jar_file_paths", None), + description=d.get("description", None), + environment_version=d.get("environment_version", None), + etag=d.get("etag", None), + main_class_name=d.get("main_class_name", None), + review_state=_enum(d, "review_state", CleanRoomJarAnalysisReviewJarAnalysisReviewState), + reviews=_repeated_dict(d, "reviews", CleanRoomJarAnalysisReview), + runner_collaborator_aliases=d.get("runner_collaborator_aliases", None), + ) + + @dataclass class CleanRoomAssetNotebook: notebook_content: str @@ -353,6 +460,13 @@ class CleanRoomAssetNotebook: `workspace/export `__ with the format of **HTML**.""" + description: Optional[str] = None + """Optional description of the notebook shown to all collaborators.""" + + environment_version: Optional[str] = None + """The serverless environment version used to execute the notebook (e.g. "4"). Defaults to "2" if + not specified.""" + etag: Optional[str] = None """Server generated etag that represents the notebook version.""" @@ -368,6 +482,10 @@ class CleanRoomAssetNotebook: def as_dict(self) -> dict: """Serializes the CleanRoomAssetNotebook into a dictionary suitable for use as a JSON request body.""" body = {} + if self.description is not None: + body["description"] = self.description + if self.environment_version is not None: + body["environment_version"] = self.environment_version if self.etag is not None: body["etag"] = self.etag if self.notebook_content is not None: @@ -383,6 +501,10 @@ def as_dict(self) -> dict: def as_shallow_dict(self) -> dict: """Serializes the CleanRoomAssetNotebook into a shallow dictionary of its immediate attributes.""" body = {} + if self.description is not None: + body["description"] = self.description + if self.environment_version is not None: + body["environment_version"] = self.environment_version if self.etag is not None: body["etag"] = self.etag if self.notebook_content is not None: @@ -399,6 +521,8 @@ def as_shallow_dict(self) -> dict: def from_dict(cls, d: Dict[str, Any]) -> CleanRoomAssetNotebook: """Deserializes the CleanRoomAssetNotebook from a dictionary.""" return cls( + description=d.get("description", None), + environment_version=d.get("environment_version", None), etag=d.get("etag", None), notebook_content=d.get("notebook_content", None), review_state=_enum(d, "review_state", CleanRoomNotebookReviewNotebookReviewState), @@ -709,6 +833,77 @@ def from_dict(cls, d: Dict[str, Any]) -> CleanRoomCollaborator: ) +@dataclass +class CleanRoomJarAnalysisReview: + """This only applies to a JAR Analysis as a first-class asset in the Clean Room, and not to Volumes""" + + comment: Optional[str] = None + """review comment""" + + created_at_millis: Optional[int] = None + """timestamp of when the review was submitted""" + + review_state: Optional[CleanRoomJarAnalysisReviewJarAnalysisReviewState] = None + """review outcome""" + + review_sub_reason: Optional[CleanRoomJarAnalysisReviewJarAnalysisReviewSubReason] = None + """specified when the review was not explicitly made by a user""" + + reviewer_collaborator_alias: Optional[str] = None + """collaborator alias of the reviewer""" + + def as_dict(self) -> dict: + """Serializes the CleanRoomJarAnalysisReview into a dictionary suitable for use as a JSON request body.""" + body = {} + if self.comment is not None: + body["comment"] = self.comment + if self.created_at_millis is not None: + body["created_at_millis"] = self.created_at_millis + if self.review_state is not None: + body["review_state"] = self.review_state.value + if self.review_sub_reason is not None: + body["review_sub_reason"] = self.review_sub_reason.value + if self.reviewer_collaborator_alias is not None: + body["reviewer_collaborator_alias"] = self.reviewer_collaborator_alias + return body + + def as_shallow_dict(self) -> dict: + """Serializes the CleanRoomJarAnalysisReview into a shallow dictionary of its immediate attributes.""" + body = {} + if self.comment is not None: + body["comment"] = self.comment + if self.created_at_millis is not None: + body["created_at_millis"] = self.created_at_millis + if self.review_state is not None: + body["review_state"] = self.review_state + if self.review_sub_reason is not None: + body["review_sub_reason"] = self.review_sub_reason + if self.reviewer_collaborator_alias is not None: + body["reviewer_collaborator_alias"] = self.reviewer_collaborator_alias + return body + + @classmethod + def from_dict(cls, d: Dict[str, Any]) -> CleanRoomJarAnalysisReview: + """Deserializes the CleanRoomJarAnalysisReview from a dictionary.""" + return cls( + comment=d.get("comment", None), + created_at_millis=d.get("created_at_millis", None), + review_state=_enum(d, "review_state", CleanRoomJarAnalysisReviewJarAnalysisReviewState), + review_sub_reason=_enum(d, "review_sub_reason", CleanRoomJarAnalysisReviewJarAnalysisReviewSubReason), + reviewer_collaborator_alias=d.get("reviewer_collaborator_alias", None), + ) + + +class CleanRoomJarAnalysisReviewJarAnalysisReviewState(Enum): + APPROVED = "APPROVED" + PENDING = "PENDING" + REJECTED = "REJECTED" + + +class CleanRoomJarAnalysisReviewJarAnalysisReviewSubReason(Enum): + AUTO_APPROVED = "AUTO_APPROVED" + + @dataclass class CleanRoomNotebookReview: comment: Optional[str] = None @@ -809,6 +1004,13 @@ class CleanRoomNotebookTaskRun: run_duration: Optional[int] = None """Duration of the task run, in milliseconds.""" + shared_output_schema_expiration_time: Optional[int] = None + """Expiration time of the shared output schema of the task run (if any), in epoch milliseconds.""" + + shared_output_schema_name: Optional[str] = None + """Name of the shared output schema associated with the clean rooms notebook task run. This schema + is accessible by all collaborators when enable_shared_output is true.""" + start_time: Optional[int] = None """When the task run started, in epoch milliseconds.""" @@ -831,6 +1033,10 @@ def as_dict(self) -> dict: body["output_schema_name"] = self.output_schema_name if self.run_duration is not None: body["run_duration"] = self.run_duration + if self.shared_output_schema_expiration_time is not None: + body["shared_output_schema_expiration_time"] = self.shared_output_schema_expiration_time + if self.shared_output_schema_name is not None: + body["shared_output_schema_name"] = self.shared_output_schema_name if self.start_time is not None: body["start_time"] = self.start_time return body @@ -854,6 +1060,10 @@ def as_shallow_dict(self) -> dict: body["output_schema_name"] = self.output_schema_name if self.run_duration is not None: body["run_duration"] = self.run_duration + if self.shared_output_schema_expiration_time is not None: + body["shared_output_schema_expiration_time"] = self.shared_output_schema_expiration_time + if self.shared_output_schema_name is not None: + body["shared_output_schema_name"] = self.shared_output_schema_name if self.start_time is not None: body["start_time"] = self.start_time return body @@ -870,6 +1080,8 @@ def from_dict(cls, d: Dict[str, Any]) -> CleanRoomNotebookTaskRun: output_schema_expiration_time=d.get("output_schema_expiration_time", None), output_schema_name=d.get("output_schema_name", None), run_duration=d.get("run_duration", None), + shared_output_schema_expiration_time=d.get("shared_output_schema_expiration_time", None), + shared_output_schema_name=d.get("shared_output_schema_name", None), start_time=d.get("start_time", None), ) @@ -941,6 +1153,15 @@ class CleanRoomRemoteDetail: egress_network_policy: Optional[settings.EgressNetworkPolicy] = None """Egress network policy to apply to the central clean room workspace.""" + enable_shared_output: Optional[bool] = None + """Whether to enable shared output for the central clean room. When enabled, clean room task runs + can write to the run-scoped shared output schema which is accessible by all collaborators.""" + + package_provider_collaborator_alias: Optional[str] = None + """Alias of the provider collaborator. If set, packaged clean rooms mode is enabled. The consumer's + experience is restricted: they can view notebook names and READMEs, add their own data assets, + and trigger runs, but cannot view notebook code, provider data assets, or notebook run output.""" + region: Optional[str] = None """Region of the central clean room.""" @@ -959,6 +1180,10 @@ def as_dict(self) -> dict: body["creator"] = self.creator.as_dict() if self.egress_network_policy: body["egress_network_policy"] = self.egress_network_policy.as_dict() + if self.enable_shared_output is not None: + body["enable_shared_output"] = self.enable_shared_output + if self.package_provider_collaborator_alias is not None: + body["package_provider_collaborator_alias"] = self.package_provider_collaborator_alias if self.region is not None: body["region"] = self.region return body @@ -978,6 +1203,10 @@ def as_shallow_dict(self) -> dict: body["creator"] = self.creator if self.egress_network_policy: body["egress_network_policy"] = self.egress_network_policy + if self.enable_shared_output is not None: + body["enable_shared_output"] = self.enable_shared_output + if self.package_provider_collaborator_alias is not None: + body["package_provider_collaborator_alias"] = self.package_provider_collaborator_alias if self.region is not None: body["region"] = self.region return body @@ -992,6 +1221,8 @@ def from_dict(cls, d: Dict[str, Any]) -> CleanRoomRemoteDetail: compliance_security_profile=_from_dict(d, "compliance_security_profile", ComplianceSecurityProfile), creator=_from_dict(d, "creator", CleanRoomCollaborator), egress_network_policy=_from_dict(d, "egress_network_policy", settings.EgressNetworkPolicy), + enable_shared_output=d.get("enable_shared_output", None), + package_provider_collaborator_alias=d.get("package_provider_collaborator_alias", None), region=d.get("region", None), ) @@ -1003,6 +1234,174 @@ class CleanRoomStatusEnum(Enum): PROVISIONING = "PROVISIONING" +@dataclass +class CleanRoomTaskRun: + """Stores information about a single task run.""" + + analysis_details: Optional[CleanRoomTaskRunCleanRoomTaskAnalysisDetails] = None + """Information about the analysis run (etag, updated at)""" + + collaborator_job_run_info: Optional[CollaboratorJobRunInfo] = None + """Job run info of the task in the runner's local workspace. This field is only included in the + LIST API if the task was run within the same workspace the API is being called. If the task run + was in a different workspace under the same metastore, only the workspace_id is included.""" + + name: Optional[str] = None + """Name of the executable.""" + + output_info: Optional[CleanRoomTaskRunOutputInfo] = None + """Information about run output""" + + run_duration: Optional[int] = None + """Duration of the task run, in milliseconds.""" + + shared_output_info: Optional[CleanRoomTaskRunOutputInfo] = None + """Information about shared output accessible by all collaborators. This field is only populated + when enable_shared_output is true.""" + + start_time: Optional[int] = None + """When the task run started, in epoch milliseconds.""" + + task_run_state: Optional[jobs.CleanRoomTaskRunState] = None + """State of the task run.""" + + task_type: Optional[CleanRoomTaskType] = None + """The type of Clean Room task.""" + + def as_dict(self) -> dict: + """Serializes the CleanRoomTaskRun into a dictionary suitable for use as a JSON request body.""" + body = {} + if self.analysis_details: + body["analysis_details"] = self.analysis_details.as_dict() + if self.collaborator_job_run_info: + body["collaborator_job_run_info"] = self.collaborator_job_run_info.as_dict() + if self.name is not None: + body["name"] = self.name + if self.output_info: + body["output_info"] = self.output_info.as_dict() + if self.run_duration is not None: + body["run_duration"] = self.run_duration + if self.shared_output_info: + body["shared_output_info"] = self.shared_output_info.as_dict() + if self.start_time is not None: + body["start_time"] = self.start_time + if self.task_run_state: + body["task_run_state"] = self.task_run_state.as_dict() + if self.task_type is not None: + body["task_type"] = self.task_type.value + return body + + def as_shallow_dict(self) -> dict: + """Serializes the CleanRoomTaskRun into a shallow dictionary of its immediate attributes.""" + body = {} + if self.analysis_details: + body["analysis_details"] = self.analysis_details + if self.collaborator_job_run_info: + body["collaborator_job_run_info"] = self.collaborator_job_run_info + if self.name is not None: + body["name"] = self.name + if self.output_info: + body["output_info"] = self.output_info + if self.run_duration is not None: + body["run_duration"] = self.run_duration + if self.shared_output_info: + body["shared_output_info"] = self.shared_output_info + if self.start_time is not None: + body["start_time"] = self.start_time + if self.task_run_state: + body["task_run_state"] = self.task_run_state + if self.task_type is not None: + body["task_type"] = self.task_type + return body + + @classmethod + def from_dict(cls, d: Dict[str, Any]) -> CleanRoomTaskRun: + """Deserializes the CleanRoomTaskRun from a dictionary.""" + return cls( + analysis_details=_from_dict(d, "analysis_details", CleanRoomTaskRunCleanRoomTaskAnalysisDetails), + collaborator_job_run_info=_from_dict(d, "collaborator_job_run_info", CollaboratorJobRunInfo), + name=d.get("name", None), + output_info=_from_dict(d, "output_info", CleanRoomTaskRunOutputInfo), + run_duration=d.get("run_duration", None), + shared_output_info=_from_dict(d, "shared_output_info", CleanRoomTaskRunOutputInfo), + start_time=d.get("start_time", None), + task_run_state=_from_dict(d, "task_run_state", jobs.CleanRoomTaskRunState), + task_type=_enum(d, "task_type", CleanRoomTaskType), + ) + + +@dataclass +class CleanRoomTaskRunCleanRoomTaskAnalysisDetails: + etag: Optional[str] = None + """Etag of the asset executed in this task run, used to identify the asset version.""" + + updated_at: Optional[int] = None + """The timestamp of when the asset was last updated.""" + + def as_dict(self) -> dict: + """Serializes the CleanRoomTaskRunCleanRoomTaskAnalysisDetails into a dictionary suitable for use as a JSON request body.""" + body = {} + if self.etag is not None: + body["etag"] = self.etag + if self.updated_at is not None: + body["updated_at"] = self.updated_at + return body + + def as_shallow_dict(self) -> dict: + """Serializes the CleanRoomTaskRunCleanRoomTaskAnalysisDetails into a shallow dictionary of its immediate attributes.""" + body = {} + if self.etag is not None: + body["etag"] = self.etag + if self.updated_at is not None: + body["updated_at"] = self.updated_at + return body + + @classmethod + def from_dict(cls, d: Dict[str, Any]) -> CleanRoomTaskRunCleanRoomTaskAnalysisDetails: + """Deserializes the CleanRoomTaskRunCleanRoomTaskAnalysisDetails from a dictionary.""" + return cls(etag=d.get("etag", None), updated_at=d.get("updated_at", None)) + + +@dataclass +class CleanRoomTaskRunOutputInfo: + output_schema_expiration_time: Optional[int] = None + """Expiration time of the output schema of the task run (if any), in epoch milliseconds.""" + + output_schema_name: Optional[str] = None + """Name of the output schema associated with the clean room task run.""" + + def as_dict(self) -> dict: + """Serializes the CleanRoomTaskRunOutputInfo into a dictionary suitable for use as a JSON request body.""" + body = {} + if self.output_schema_expiration_time is not None: + body["output_schema_expiration_time"] = self.output_schema_expiration_time + if self.output_schema_name is not None: + body["output_schema_name"] = self.output_schema_name + return body + + def as_shallow_dict(self) -> dict: + """Serializes the CleanRoomTaskRunOutputInfo into a shallow dictionary of its immediate attributes.""" + body = {} + if self.output_schema_expiration_time is not None: + body["output_schema_expiration_time"] = self.output_schema_expiration_time + if self.output_schema_name is not None: + body["output_schema_name"] = self.output_schema_name + return body + + @classmethod + def from_dict(cls, d: Dict[str, Any]) -> CleanRoomTaskRunOutputInfo: + """Deserializes the CleanRoomTaskRunOutputInfo from a dictionary.""" + return cls( + output_schema_expiration_time=d.get("output_schema_expiration_time", None), + output_schema_name=d.get("output_schema_name", None), + ) + + +class CleanRoomTaskType(Enum): + JAR = "JAR" + NOTEBOOK = "NOTEBOOK" + + @dataclass class CollaboratorJobRunInfo: collaborator_alias: Optional[str] = None @@ -1101,6 +1500,12 @@ def from_dict(cls, d: Dict[str, Any]) -> ComplianceSecurityProfile: @dataclass class CreateCleanRoomAssetReviewResponse: + jar_analysis_review_state: Optional[CleanRoomJarAnalysisReviewJarAnalysisReviewState] = None + """top-level status derived from all reviews""" + + jar_analysis_reviews: Optional[List[CleanRoomJarAnalysisReview]] = None + """All existing jar analysis approvals or rejections""" + notebook_review_state: Optional[CleanRoomNotebookReviewNotebookReviewState] = None """Top-level status derived from all reviews""" @@ -1110,6 +1515,10 @@ class CreateCleanRoomAssetReviewResponse: def as_dict(self) -> dict: """Serializes the CreateCleanRoomAssetReviewResponse into a dictionary suitable for use as a JSON request body.""" body = {} + if self.jar_analysis_review_state is not None: + body["jar_analysis_review_state"] = self.jar_analysis_review_state.value + if self.jar_analysis_reviews: + body["jar_analysis_reviews"] = [v.as_dict() for v in self.jar_analysis_reviews] if self.notebook_review_state is not None: body["notebook_review_state"] = self.notebook_review_state.value if self.notebook_reviews: @@ -1119,6 +1528,10 @@ def as_dict(self) -> dict: def as_shallow_dict(self) -> dict: """Serializes the CreateCleanRoomAssetReviewResponse into a shallow dictionary of its immediate attributes.""" body = {} + if self.jar_analysis_review_state is not None: + body["jar_analysis_review_state"] = self.jar_analysis_review_state + if self.jar_analysis_reviews: + body["jar_analysis_reviews"] = self.jar_analysis_reviews if self.notebook_review_state is not None: body["notebook_review_state"] = self.notebook_review_state if self.notebook_reviews: @@ -1129,6 +1542,10 @@ def as_shallow_dict(self) -> dict: def from_dict(cls, d: Dict[str, Any]) -> CreateCleanRoomAssetReviewResponse: """Deserializes the CreateCleanRoomAssetReviewResponse from a dictionary.""" return cls( + jar_analysis_review_state=_enum( + d, "jar_analysis_review_state", CleanRoomJarAnalysisReviewJarAnalysisReviewState + ), + jar_analysis_reviews=_repeated_dict(d, "jar_analysis_reviews", CleanRoomJarAnalysisReview), notebook_review_state=_enum(d, "notebook_review_state", CleanRoomNotebookReviewNotebookReviewState), notebook_reviews=_repeated_dict(d, "notebook_reviews", CleanRoomNotebookReview), ) @@ -1179,6 +1596,50 @@ def from_dict(cls, d: Dict[str, Any]) -> DeleteCleanRoomAssetResponse: return cls() +@dataclass +class JarAnalysisVersionReview: + etag: str + """Etag identifying the jar analysis version, with its value being a hash of an + internally-generated UUID""" + + review_state: CleanRoomJarAnalysisReviewJarAnalysisReviewState + """Review outcome""" + + comment: Optional[str] = None + """Review comment""" + + def as_dict(self) -> dict: + """Serializes the JarAnalysisVersionReview into a dictionary suitable for use as a JSON request body.""" + body = {} + if self.comment is not None: + body["comment"] = self.comment + if self.etag is not None: + body["etag"] = self.etag + if self.review_state is not None: + body["review_state"] = self.review_state.value + return body + + def as_shallow_dict(self) -> dict: + """Serializes the JarAnalysisVersionReview into a shallow dictionary of its immediate attributes.""" + body = {} + if self.comment is not None: + body["comment"] = self.comment + if self.etag is not None: + body["etag"] = self.etag + if self.review_state is not None: + body["review_state"] = self.review_state + return body + + @classmethod + def from_dict(cls, d: Dict[str, Any]) -> JarAnalysisVersionReview: + """Deserializes the JarAnalysisVersionReview from a dictionary.""" + return cls( + comment=d.get("comment", None), + etag=d.get("etag", None), + review_state=_enum(d, "review_state", CleanRoomJarAnalysisReviewJarAnalysisReviewState), + ) + + @dataclass class ListCleanRoomAssetRevisionsResponse: next_page_token: Optional[str] = None @@ -1313,6 +1774,39 @@ def from_dict(cls, d: Dict[str, Any]) -> ListCleanRoomNotebookTaskRunsResponse: ) +@dataclass +class ListCleanRoomTaskRunsResponse: + next_page_token: Optional[str] = None + """Opaque token to retrieve the next page of results. Absent if there are no more pages. page_token + should be set to this value for the next request (for the next page of results).""" + + runs: Optional[List[CleanRoomTaskRun]] = None + """Task runs in the clean room.""" + + def as_dict(self) -> dict: + """Serializes the ListCleanRoomTaskRunsResponse into a dictionary suitable for use as a JSON request body.""" + body = {} + if self.next_page_token is not None: + body["next_page_token"] = self.next_page_token + if self.runs: + body["runs"] = [v.as_dict() for v in self.runs] + return body + + def as_shallow_dict(self) -> dict: + """Serializes the ListCleanRoomTaskRunsResponse into a shallow dictionary of its immediate attributes.""" + body = {} + if self.next_page_token is not None: + body["next_page_token"] = self.next_page_token + if self.runs: + body["runs"] = self.runs + return body + + @classmethod + def from_dict(cls, d: Dict[str, Any]) -> ListCleanRoomTaskRunsResponse: + """Deserializes the ListCleanRoomTaskRunsResponse from a dictionary.""" + return cls(next_page_token=d.get("next_page_token", None), runs=_repeated_dict(d, "runs", CleanRoomTaskRun)) + + @dataclass class ListCleanRoomsResponse: clean_rooms: Optional[List[CleanRoom]] = None @@ -1520,6 +2014,7 @@ def create_clean_room_asset_review( asset_type: CleanRoomAssetAssetType, name: str, *, + jar_analysis_review: Optional[JarAnalysisVersionReview] = None, notebook_review: Optional[NotebookVersionReview] = None, ) -> CreateCleanRoomAssetReviewResponse: """Submit an asset review @@ -1530,12 +2025,15 @@ def create_clean_room_asset_review( Asset type. Can either be NOTEBOOK_FILE or JAR_ANALYSIS. :param name: str Name of the asset + :param jar_analysis_review: :class:`JarAnalysisVersionReview` (optional) :param notebook_review: :class:`NotebookVersionReview` (optional) :returns: :class:`CreateCleanRoomAssetReviewResponse` """ body = {} + if jar_analysis_review is not None: + body["jar_analysis_review"] = jar_analysis_review.as_dict() if notebook_review is not None: body["notebook_review"] = notebook_review.as_dict() headers = { @@ -1829,7 +2327,7 @@ def update( class CleanRoomTaskRunsAPI: - """Clean room task runs are the executions of notebooks in a clean room.""" + """Clean room task runs are the executions of notebooks and JAR analyses in a clean room.""" def __init__(self, api_client): self._api = api_client @@ -1880,6 +2378,59 @@ def list( return query["page_token"] = json["next_page_token"] + def list_clean_room_task_runs_handler( + self, + clean_room_name: str, + *, + name: Optional[str] = None, + page_size: Optional[int] = None, + page_token: Optional[str] = None, + task_type: Optional[CleanRoomTaskType] = None, + ) -> Iterator[CleanRoomTaskRun]: + """List all the historical task runs in a clean room. + + :param clean_room_name: str + Name of the clean room. + :param name: str (optional) + Executable name. + :param page_size: int (optional) + The maximum number of task runs to return. Maximum value of 100. + :param page_token: str (optional) + Opaque pagination token to go to next page based on previous query. + :param task_type: :class:`CleanRoomTaskType` (optional) + Filter by the type of Clean Room task. + + :returns: Iterator over :class:`CleanRoomTaskRun` + """ + + query = {} + if name is not None: + query["name"] = name + if page_size is not None: + query["page_size"] = page_size + if page_token is not None: + query["page_token"] = page_token + if task_type is not None: + query["task_type"] = task_type.value + headers = { + "Accept": "application/json", + } + + cfg = self._api._cfg + if cfg.workspace_id: + headers["X-Databricks-Workspace-Id"] = cfg.workspace_id + + while True: + json = self._api.do( + "GET", f"/api/2.0/clean-rooms/{clean_room_name}/task-runs", query=query, headers=headers + ) + if "runs" in json: + for v in json["runs"]: + yield CleanRoomTaskRun.from_dict(v) + if "next_page_token" not in json or not json["next_page_token"]: + return + query["page_token"] = json["next_page_token"] + class CleanRoomsAPI: """A clean room uses Delta Sharing and serverless compute to provide a secure and privacy-protecting diff --git a/databricks/sdk/service/compute.py b/databricks/sdk/service/compute.py old mode 100755 new mode 100644 index 987ccfd85..77f95f2b2 --- a/databricks/sdk/service/compute.py +++ b/databricks/sdk/service/compute.py @@ -5484,6 +5484,25 @@ class InstancePoolAzureAttributes: availability: Optional[InstancePoolAzureAttributesAvailability] = None """Availability type used for the spot nodes.""" + capacity_reservation_group: Optional[str] = None + """The Azure capacity reservation group resource ID to use for launching VMs in this pool. When + specified, VMs will be launched using the provided capacity reservation. + + NOTE: Omitting this field will clear any existing configured capacity reservation group on the + pool. + + Capacity reservations can only be specified when the workspace uses injected vnet (i.e. customer + defined vnet not managed by databricks). Ensure the databricks-login-prod Enterprise Application + is granted the following four permissions: + + 1. Microsoft.Compute/capacityReservationGroups/read + 2. Microsoft.Compute/capacityReservationGroups/deploy/action + 3. Microsoft.Compute/capacityReservationGroups/capacityReservations/read + 4. Microsoft.Compute/capacityReservationGroups/capacityReservations/deploy/action + + Format: + ``/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Compute/capacityReservationGroups/{capacityReservationGroupName}``""" + spot_bid_max_price: Optional[float] = None """With variable pricing, you have option to set a max price, in US dollars (USD) For example, the value 2 would be a max price of $2.00 USD per hour. If you set the max price to be -1, the VM @@ -5495,6 +5514,8 @@ def as_dict(self) -> dict: body = {} if self.availability is not None: body["availability"] = self.availability.value + if self.capacity_reservation_group is not None: + body["capacity_reservation_group"] = self.capacity_reservation_group if self.spot_bid_max_price is not None: body["spot_bid_max_price"] = self.spot_bid_max_price return body @@ -5504,6 +5525,8 @@ def as_shallow_dict(self) -> dict: body = {} if self.availability is not None: body["availability"] = self.availability + if self.capacity_reservation_group is not None: + body["capacity_reservation_group"] = self.capacity_reservation_group if self.spot_bid_max_price is not None: body["spot_bid_max_price"] = self.spot_bid_max_price return body @@ -5513,6 +5536,7 @@ def from_dict(cls, d: Dict[str, Any]) -> InstancePoolAzureAttributes: """Deserializes the InstancePoolAzureAttributes from a dictionary.""" return cls( availability=_enum(d, "availability", InstancePoolAzureAttributesAvailability), + capacity_reservation_group=d.get("capacity_reservation_group", None), spot_bid_max_price=d.get("spot_bid_max_price", None), ) diff --git a/databricks/sdk/service/dashboards.py b/databricks/sdk/service/dashboards.py old mode 100755 new mode 100644 diff --git a/databricks/sdk/service/database.py b/databricks/sdk/service/database.py old mode 100755 new mode 100644 index 759493ecf..5f007a8e2 --- a/databricks/sdk/service/database.py +++ b/databricks/sdk/service/database.py @@ -1444,8 +1444,8 @@ class SyncedTableSpecTypeOverride: """PostgreSQL-specific target type to use for the column.""" size: Optional[int] = None - """Size parameter for the target type. Required when pg_type is PG_SPECIFIC_TYPE_VECTOR or - PG_SPECIFIC_TYPE_HALFVEC (specifies the vector dimension, e.g., 1024).""" + """Size parameter for the target type, for types that take one (e.g. vector dimension, varchar + length). Required when the chosen pg_type needs a size.""" def as_dict(self) -> dict: """Serializes the SyncedTableSpecTypeOverride into a dictionary suitable for use as a JSON request body.""" diff --git a/databricks/sdk/service/dataclassification.py b/databricks/sdk/service/dataclassification.py old mode 100755 new mode 100644 diff --git a/databricks/sdk/service/disasterrecovery.py b/databricks/sdk/service/disasterrecovery.py old mode 100755 new mode 100644 index e964075fa..f4fb5cc7b --- a/databricks/sdk/service/disasterrecovery.py +++ b/databricks/sdk/service/disasterrecovery.py @@ -312,6 +312,13 @@ class StableUrl: """The workspace this stable URL is initially bound to. Used only in Create requests to associate the stable URL with a workspace. Not returned in responses.""" + effective_workspace_id: Optional[str] = None + """The workspace this stable URL currently routes to. Set to ``initial_workspace_id`` at creation, + advanced to the failover group's primary while attached (including across a failover), and + preserved when the stable URL is detached from its failover group. Read this to see where an + unattached stable URL points: after a failover followed by a detach it reflects the + post-failover primary, not ``initial_workspace_id``.""" + failover_group_name: Optional[str] = None """Fully qualified resource name of the FailoverGroup this stable URL is currently linked to, in the format ``accounts/{account_id}/failover-groups/{failover_group_id}``. Empty when the stable @@ -333,6 +340,8 @@ class StableUrl: def as_dict(self) -> dict: """Serializes the StableUrl into a dictionary suitable for use as a JSON request body.""" body = {} + if self.effective_workspace_id is not None: + body["effective_workspace_id"] = self.effective_workspace_id if self.failover_group_name is not None: body["failover_group_name"] = self.failover_group_name if self.initial_workspace_id is not None: @@ -348,6 +357,8 @@ def as_dict(self) -> dict: def as_shallow_dict(self) -> dict: """Serializes the StableUrl into a shallow dictionary of its immediate attributes.""" body = {} + if self.effective_workspace_id is not None: + body["effective_workspace_id"] = self.effective_workspace_id if self.failover_group_name is not None: body["failover_group_name"] = self.failover_group_name if self.initial_workspace_id is not None: @@ -364,6 +375,7 @@ def as_shallow_dict(self) -> dict: def from_dict(cls, d: Dict[str, Any]) -> StableUrl: """Deserializes the StableUrl from a dictionary.""" return cls( + effective_workspace_id=d.get("effective_workspace_id", None), failover_group_name=d.get("failover_group_name", None), initial_workspace_id=d.get("initial_workspace_id", None), name=d.get("name", None), diff --git a/databricks/sdk/service/environments.py b/databricks/sdk/service/environments.py old mode 100755 new mode 100644 diff --git a/databricks/sdk/service/files.py b/databricks/sdk/service/files.py old mode 100755 new mode 100644 diff --git a/databricks/sdk/service/iam.py b/databricks/sdk/service/iam.py old mode 100755 new mode 100644 diff --git a/databricks/sdk/service/iamv2.py b/databricks/sdk/service/iamv2.py old mode 100755 new mode 100644 index 61947be4f..cdf9f5079 --- a/databricks/sdk/service/iamv2.py +++ b/databricks/sdk/service/iamv2.py @@ -46,7 +46,7 @@ class Group: group_name: Optional[str] = None """Display name of the group.""" - internal_id: Optional[int] = None + internal_id: Optional[str] = None """Internal group ID of the group in Databricks.""" def as_dict(self) -> dict: @@ -225,7 +225,7 @@ class ServicePrincipal: external_id: Optional[str] = None """ExternalId of the service principal in the customer's IdP.""" - internal_id: Optional[int] = None + internal_id: Optional[str] = None """Internal service principal ID of the service principal in Databricks.""" def as_dict(self) -> dict: @@ -297,7 +297,7 @@ class User: full_name: Optional[UserFullName] = None - internal_id: Optional[int] = None + internal_id: Optional[str] = None """Internal userId of the user in Databricks.""" username: Optional[str] = None @@ -570,7 +570,7 @@ def create_workspace_assignment_detail( res = self._api.do( "POST", - f"/api/2.0/identity/accounts/{self._api.account_id}/workspaces/{workspace_id}/workspaceAssignmentDetails", + f"/api/2.0/identity/accounts/{self._api.account_id}/workspaces/{workspace_id}/workspace-assignment-details", body=body, headers=headers, ) @@ -596,7 +596,7 @@ def delete_workspace_assignment_detail(self, workspace_id: int, principal_id: in self._api.do( "DELETE", - f"/api/2.0/identity/accounts/{self._api.account_id}/workspaces/{workspace_id}/workspaceAssignmentDetails/{principal_id}", + f"/api/2.0/identity/accounts/{self._api.account_id}/workspaces/{workspace_id}/workspace-assignment-details/{principal_id}", headers=headers, ) @@ -630,7 +630,7 @@ def get_workspace_access_detail( res = self._api.do( "GET", - f"/api/2.0/identity/accounts/{self._api.account_id}/workspaces/{workspace_id}/workspaceAccessDetails/{principal_id}", + f"/api/2.0/identity/accounts/{self._api.account_id}/workspaces/{workspace_id}/workspace-access-details/{principal_id}", query=query, headers=headers, ) @@ -654,7 +654,7 @@ def get_workspace_assignment_detail(self, workspace_id: int, principal_id: int) res = self._api.do( "GET", - f"/api/2.0/identity/accounts/{self._api.account_id}/workspaces/{workspace_id}/workspaceAssignmentDetails/{principal_id}", + f"/api/2.0/identity/accounts/{self._api.account_id}/workspaces/{workspace_id}/workspace-assignment-details/{principal_id}", headers=headers, ) return WorkspaceAssignmentDetail.from_dict(res) @@ -689,7 +689,7 @@ def list_workspace_assignment_details( res = self._api.do( "GET", - f"/api/2.0/identity/accounts/{self._api.account_id}/workspaces/{workspace_id}/workspaceAssignmentDetails", + f"/api/2.0/identity/accounts/{self._api.account_id}/workspaces/{workspace_id}/workspace-assignment-details", query=query, headers=headers, ) @@ -716,7 +716,7 @@ def resolve_group(self, external_id: str) -> ResolveGroupResponse: res = self._api.do( "POST", - f"/api/2.0/identity/accounts/{self._api.account_id}/groups/resolveByExternalId", + f"/api/2.0/identity/accounts/{self._api.account_id}/groups/resolve-by-external-id", body=body, headers=headers, ) @@ -743,7 +743,7 @@ def resolve_service_principal(self, external_id: str) -> ResolveServicePrincipal res = self._api.do( "POST", - f"/api/2.0/identity/accounts/{self._api.account_id}/servicePrincipals/resolveByExternalId", + f"/api/2.0/identity/accounts/{self._api.account_id}/service-principals/resolve-by-external-id", body=body, headers=headers, ) @@ -770,7 +770,7 @@ def resolve_user(self, external_id: str) -> ResolveUserResponse: res = self._api.do( "POST", - f"/api/2.0/identity/accounts/{self._api.account_id}/users/resolveByExternalId", + f"/api/2.0/identity/accounts/{self._api.account_id}/users/resolve-by-external-id", body=body, headers=headers, ) @@ -810,7 +810,7 @@ def update_workspace_assignment_detail( res = self._api.do( "PATCH", - f"/api/2.0/identity/accounts/{self._api.account_id}/workspaces/{workspace_id}/workspaceAssignmentDetails/{principal_id}", + f"/api/2.0/identity/accounts/{self._api.account_id}/workspaces/{workspace_id}/workspace-assignment-details/{principal_id}", query=query, body=body, headers=headers, @@ -849,7 +849,7 @@ def create_workspace_assignment_detail_proxy( if cfg.workspace_id: headers["X-Databricks-Workspace-Id"] = cfg.workspace_id - res = self._api.do("POST", "/api/2.0/identity/workspaceAssignmentDetails", body=body, headers=headers) + res = self._api.do("POST", "/api/2.0/identity/workspace-assignment-details", body=body, headers=headers) return WorkspaceAssignmentDetail.from_dict(res) def delete_workspace_assignment_detail_proxy(self, principal_id: int): @@ -872,7 +872,7 @@ def delete_workspace_assignment_detail_proxy(self, principal_id: int): if cfg.workspace_id: headers["X-Databricks-Workspace-Id"] = cfg.workspace_id - self._api.do("DELETE", f"/api/2.0/identity/workspaceAssignmentDetails/{principal_id}", headers=headers) + self._api.do("DELETE", f"/api/2.0/identity/workspace-assignment-details/{principal_id}", headers=headers) def get_workspace_access_detail_local( self, principal_id: int, *, view: Optional[WorkspaceAccessDetailView] = None @@ -905,7 +905,7 @@ def get_workspace_access_detail_local( headers["X-Databricks-Workspace-Id"] = cfg.workspace_id res = self._api.do( - "GET", f"/api/2.0/identity/workspaceAccessDetails/{principal_id}", query=query, headers=headers + "GET", f"/api/2.0/identity/workspace-access-details/{principal_id}", query=query, headers=headers ) return WorkspaceAccessDetail.from_dict(res) @@ -927,7 +927,7 @@ def get_workspace_assignment_detail_proxy(self, principal_id: int) -> WorkspaceA if cfg.workspace_id: headers["X-Databricks-Workspace-Id"] = cfg.workspace_id - res = self._api.do("GET", f"/api/2.0/identity/workspaceAssignmentDetails/{principal_id}", headers=headers) + res = self._api.do("GET", f"/api/2.0/identity/workspace-assignment-details/{principal_id}", headers=headers) return WorkspaceAssignmentDetail.from_dict(res) def list_workspace_assignment_details_proxy( @@ -960,7 +960,7 @@ def list_workspace_assignment_details_proxy( if cfg.workspace_id: headers["X-Databricks-Workspace-Id"] = cfg.workspace_id - res = self._api.do("GET", "/api/2.0/identity/workspaceAssignmentDetails", query=query, headers=headers) + res = self._api.do("GET", "/api/2.0/identity/workspace-assignment-details", query=query, headers=headers) return ListWorkspaceAssignmentDetailsResponse.from_dict(res) def resolve_group_proxy(self, external_id: str) -> ResolveGroupResponse: @@ -986,7 +986,7 @@ def resolve_group_proxy(self, external_id: str) -> ResolveGroupResponse: if cfg.workspace_id: headers["X-Databricks-Workspace-Id"] = cfg.workspace_id - res = self._api.do("POST", "/api/2.0/identity/groups/resolveByExternalId", body=body, headers=headers) + res = self._api.do("POST", "/api/2.0/identity/groups/resolve-by-external-id", body=body, headers=headers) return ResolveGroupResponse.from_dict(res) def resolve_service_principal_proxy(self, external_id: str) -> ResolveServicePrincipalResponse: @@ -1013,7 +1013,7 @@ def resolve_service_principal_proxy(self, external_id: str) -> ResolveServicePri headers["X-Databricks-Workspace-Id"] = cfg.workspace_id res = self._api.do( - "POST", "/api/2.0/identity/servicePrincipals/resolveByExternalId", body=body, headers=headers + "POST", "/api/2.0/identity/service-principals/resolve-by-external-id", body=body, headers=headers ) return ResolveServicePrincipalResponse.from_dict(res) @@ -1040,7 +1040,7 @@ def resolve_user_proxy(self, external_id: str) -> ResolveUserResponse: if cfg.workspace_id: headers["X-Databricks-Workspace-Id"] = cfg.workspace_id - res = self._api.do("POST", "/api/2.0/identity/users/resolveByExternalId", body=body, headers=headers) + res = self._api.do("POST", "/api/2.0/identity/users/resolve-by-external-id", body=body, headers=headers) return ResolveUserResponse.from_dict(res) def update_workspace_assignment_detail_proxy( @@ -1076,7 +1076,7 @@ def update_workspace_assignment_detail_proxy( res = self._api.do( "PATCH", - f"/api/2.0/identity/workspaceAssignmentDetails/{principal_id}", + f"/api/2.0/identity/workspace-assignment-details/{principal_id}", query=query, body=body, headers=headers, diff --git a/databricks/sdk/service/jobs.py b/databricks/sdk/service/jobs.py old mode 100755 new mode 100644 index d8cbdfb4f..4dee9a8df --- a/databricks/sdk/service/jobs.py +++ b/databricks/sdk/service/jobs.py @@ -50,14 +50,6 @@ class AiRuntimeTask: workloads (driver + worker, parameter server, separate eval node, etc.) with multiple entries are the eventual intent but not yet supported.""" - code_source_path: Optional[str] = None - """Optional workspace or UC volume path of the uploaded code-source archive. The CLI packages the - user's local code directory into an archive and populates this. Customers calling the Jobs API - directly should upload their archive to the workspace or a UC volume first and supply the - resulting path here. - - When set, the training node exposes the value via the ``$CODE_SOURCE`` environment variable.""" - mlflow_experiment_directory: Optional[str] = None """Optional workspace directory under which the MLflow experiment named in ``experiment`` is created. Must start with ``/Workspace``. Set this when running as a service principal that has @@ -71,8 +63,6 @@ class AiRuntimeTask: def as_dict(self) -> dict: """Serializes the AiRuntimeTask into a dictionary suitable for use as a JSON request body.""" body = {} - if self.code_source_path is not None: - body["code_source_path"] = self.code_source_path if self.deployments: body["deployments"] = [v.as_dict() for v in self.deployments] if self.experiment is not None: @@ -86,8 +76,6 @@ def as_dict(self) -> dict: def as_shallow_dict(self) -> dict: """Serializes the AiRuntimeTask into a shallow dictionary of its immediate attributes.""" body = {} - if self.code_source_path is not None: - body["code_source_path"] = self.code_source_path if self.deployments: body["deployments"] = self.deployments if self.experiment is not None: @@ -102,7 +90,6 @@ def as_shallow_dict(self) -> dict: def from_dict(cls, d: Dict[str, Any]) -> AiRuntimeTask: """Deserializes the AiRuntimeTask from a dictionary.""" return cls( - code_source_path=d.get("code_source_path", None), deployments=_repeated_dict(d, "deployments", DeploymentSpec), experiment=d.get("experiment", None), mlflow_experiment_directory=d.get("mlflow_experiment_directory", None), @@ -1117,8 +1104,8 @@ def from_dict(cls, d: Dict[str, Any]) -> ComputeSpec: class ComputeSpecAcceleratorType(Enum): - """Customer-facing AcceleratorType: hardware accelerator type for the AiRuntime workload. Per-node - accelerator count is encoded in the value name (e.g. ``GPU_8xH100`` means 8 H100s per node).""" + """Hardware accelerator type for the AiRuntime workload. Per-node accelerator count is encoded in + the value name (e.g. ``GPU_8xH100`` means 8 H100s per node).""" GPU_1X_A10 = "GPU_1xA10" GPU_1X_H100 = "GPU_1xH100" @@ -1875,9 +1862,23 @@ class DeploymentSpec: use multiple entries.""" command_path: str - """Workspace path of the bash script to execute on each node in this deployment. The CLI uploads - the user's script and populates this. Customers calling the Jobs API directly should upload - their script to the workspace first and supply the resulting path here.""" + """Workspace path of the script to run on each node in this deployment. Upload the script to this + path and supply the path here. When the task runs, the file at this path is run on each node; if + it fails, the task fails with its exit code. + + Example script contents: + + Plain Python: + + python train.py --epochs 10 + + Multi-GPU via accelerate: + + accelerate launch train.py --config config.yaml + + Distributed via torchrun: + + torchrun --nproc_per_node=8 train.py""" compute: ComputeSpec """Compute resources allocated to each node in this deployment.""" @@ -4246,6 +4247,7 @@ def from_dict(cls, d: Dict[str, Any]) -> PeriodicTriggerConfiguration: class PeriodicTriggerConfigurationTimeUnit(Enum): DAYS = "DAYS" HOURS = "HOURS" + MINUTES = "MINUTES" WEEKS = "WEEKS" @@ -5186,9 +5188,8 @@ def from_dict(cls, d: Dict[str, Any]) -> ResolvedValues: @dataclass class ResolvedValuesAiRuntimeTaskResolvedValues: - """Resolved env_vars for an AiRuntimeTask after dynamic-value substitution. Mirrors the task's - ``resolved_parameters_field`` (env_vars) so Jobs can expand ``{{tasks..values.}}`` - references before submission.""" + """Resolved values for an AiRuntimeTask after dynamic-value substitution, so Jobs can expand + ``{{tasks..values.}}`` references before submission.""" def as_dict(self) -> dict: """Serializes the ResolvedValuesAiRuntimeTaskResolvedValues into a dictionary suitable for use as a JSON request body.""" @@ -10697,6 +10698,7 @@ def submit( health: Optional[JobsHealthRules] = None, idempotency_token: Optional[str] = None, notification_settings: Optional[JobNotificationSettings] = None, + performance_target: Optional[PerformanceTarget] = None, queue: Optional[QueueSettings] = None, run_as: Optional[JobRunAs] = None, run_name: Optional[str] = None, @@ -10749,6 +10751,14 @@ def submit( :param notification_settings: :class:`JobNotificationSettings` (optional) Optional notification settings that are used when sending notifications to each of the ``email_notifications`` and ``webhook_notifications`` for this run. + :param performance_target: :class:`PerformanceTarget` (optional) + The performance mode on a serverless one-time run. This field determines the level of compute + performance or cost-efficiency for the run. The performance target does not apply to tasks that run + on Serverless GPU compute. + + - ``STANDARD``: Enables cost-efficient execution of serverless workloads. + - ``PERFORMANCE_OPTIMIZED``: Prioritizes fast startup and execution times through rapid scaling and + optimized cluster performance. :param queue: :class:`QueueSettings` (optional) The queue settings of the one-time run. :param run_as: :class:`JobRunAs` (optional) @@ -10787,6 +10797,8 @@ def submit( body["idempotency_token"] = idempotency_token if notification_settings is not None: body["notification_settings"] = notification_settings.as_dict() + if performance_target is not None: + body["performance_target"] = performance_target.value if queue is not None: body["queue"] = queue.as_dict() if run_as is not None: @@ -10828,6 +10840,7 @@ def submit_and_wait( health: Optional[JobsHealthRules] = None, idempotency_token: Optional[str] = None, notification_settings: Optional[JobNotificationSettings] = None, + performance_target: Optional[PerformanceTarget] = None, queue: Optional[QueueSettings] = None, run_as: Optional[JobRunAs] = None, run_name: Optional[str] = None, @@ -10846,6 +10859,7 @@ def submit_and_wait( health=health, idempotency_token=idempotency_token, notification_settings=notification_settings, + performance_target=performance_target, queue=queue, run_as=run_as, run_name=run_name, diff --git a/databricks/sdk/service/knowledgeassistants.py b/databricks/sdk/service/knowledgeassistants.py old mode 100755 new mode 100644 diff --git a/databricks/sdk/service/marketplace.py b/databricks/sdk/service/marketplace.py old mode 100755 new mode 100644 diff --git a/databricks/sdk/service/ml.py b/databricks/sdk/service/ml.py old mode 100755 new mode 100644 index a059cd7fb..66505df99 --- a/databricks/sdk/service/ml.py +++ b/databricks/sdk/service/ml.py @@ -3709,6 +3709,37 @@ def from_dict(cls, d: Dict[str, Any]) -> LastNFunction: return cls(input=d.get("input", None), n=d.get("n", None)) +@dataclass +class LifetimeWindow: + """A window that spans the entire lifetime of a data source, accumulating from the source's start + rather than over a bounded duration. All fields are optional; an empty message denotes the + continuous, fully-accurate variant.""" + + slide_duration: Optional[Duration] = None + """The slide duration for the discrete (offline) variant: the value updates only at these + boundaries. Must be positive when set. When absent, the window is continuous (the value is as + fresh as the pipeline delivers).""" + + def as_dict(self) -> dict: + """Serializes the LifetimeWindow into a dictionary suitable for use as a JSON request body.""" + body = {} + if self.slide_duration is not None: + body["slide_duration"] = self.slide_duration.ToJsonString() + return body + + def as_shallow_dict(self) -> dict: + """Serializes the LifetimeWindow into a shallow dictionary of its immediate attributes.""" + body = {} + if self.slide_duration is not None: + body["slide_duration"] = self.slide_duration + return body + + @classmethod + def from_dict(cls, d: Dict[str, Any]) -> LifetimeWindow: + """Deserializes the LifetimeWindow from a dictionary.""" + return cls(slide_duration=_duration(d, "slide_duration")) + + @dataclass class LineageContext: """Lineage context information for tracking where an API was invoked. This will allow us to track @@ -4565,47 +4596,6 @@ def from_dict(cls, d: Dict[str, Any]) -> LoggedModelTag: return cls(key=d.get("key", None), value=d.get("value", None)) -@dataclass -class LongRollingWindow: - """A long (multi-day) rolling window served via the hybrid batch + streaming path. The batch - pipeline maintains daily partial aggregates for the bulk of the window while the streaming - pipeline maintains the most recent day(s), and serving merges them on read. Distinct from - RollingWindow so the control plane can explicitly identify long rolling window features rather - than inferring hybrid behavior from window_duration.""" - - window_duration: Duration - """The duration of the rolling window. Must be positive and span more than two days, so that both - the batch (N-1 day) and stale-path (N-2 day) partial aggregates are well defined. The duration - need not be a whole number of days (e.g. 3 days 15 minutes is allowed).""" - - delay: Optional[Duration] = None - """The delay applied to the end of the rolling window (must be non-negative). For example, delay=1d - shifts the window end 1 day before the evaluation time.""" - - def as_dict(self) -> dict: - """Serializes the LongRollingWindow into a dictionary suitable for use as a JSON request body.""" - body = {} - if self.delay is not None: - body["delay"] = self.delay.ToJsonString() - if self.window_duration is not None: - body["window_duration"] = self.window_duration.ToJsonString() - return body - - def as_shallow_dict(self) -> dict: - """Serializes the LongRollingWindow into a shallow dictionary of its immediate attributes.""" - body = {} - if self.delay is not None: - body["delay"] = self.delay - if self.window_duration is not None: - body["window_duration"] = self.window_duration - return body - - @classmethod - def from_dict(cls, d: Dict[str, Any]) -> LongRollingWindow: - """Deserializes the LongRollingWindow from a dictionary.""" - return cls(delay=_duration(d, "delay"), window_duration=_duration(d, "window_duration")) - - @dataclass class MaterializedFeature: """A materialized feature represents a feature that is continuously computed and stored.""" @@ -6438,13 +6428,14 @@ class RollingWindow: ContinuousWindow: ``delay`` is the non-negative counterpart of the legacy non-positive ``ContinuousWindow.offset``.""" - window_duration: Duration - """The duration of the rolling window (must be positive).""" - delay: Optional[Duration] = None """The delay applied to the end of the rolling window (must be non-negative). For example, delay=1d shifts the window end 1 day before the evaluation time.""" + window_duration: Optional[Duration] = None + """The duration of the rolling window. Must be positive when set; absent means lifetime (aggregate + over the entity's entire history).""" + def as_dict(self) -> dict: """Serializes the RollingWindow into a dictionary suitable for use as a JSON request body.""" body = {} @@ -6745,6 +6736,48 @@ def from_dict(cls, d: Dict[str, Any]) -> RunTag: return cls(key=d.get("key", None), value=d.get("value", None)) +@dataclass +class SawtoothWindow: + """A sawtooth window served via the hybrid batch + streaming path. The batch pipeline maintains + daily partial aggregates for the bulk of the window while the streaming pipeline maintains the + most recent day(s), and serving merges them on read. Same field shape as RollingWindow, but a + distinct type so the control plane can explicitly identify hybrid (sawtooth) features rather + than inferring hybrid behavior from window_duration.""" + + delay: Optional[Duration] = None + """The delay applied to the end of the window (must be non-negative). For example, delay=1d shifts + the window end 1 day before the evaluation time.""" + + window_duration: Optional[Duration] = None + """The duration of the window. Must be positive and span more than two days when set, so that both + the batch (N-1 day) and stale-path (N-2 day) partial aggregates are well defined. The duration + need not be a whole number of days (e.g. 3 days 15 minutes is allowed). Absent means lifetime + (aggregate over the entity's entire history).""" + + def as_dict(self) -> dict: + """Serializes the SawtoothWindow into a dictionary suitable for use as a JSON request body.""" + body = {} + if self.delay is not None: + body["delay"] = self.delay.ToJsonString() + if self.window_duration is not None: + body["window_duration"] = self.window_duration.ToJsonString() + return body + + def as_shallow_dict(self) -> dict: + """Serializes the SawtoothWindow into a shallow dictionary of its immediate attributes.""" + body = {} + if self.delay is not None: + body["delay"] = self.delay + if self.window_duration is not None: + body["window_duration"] = self.window_duration + return body + + @classmethod + def from_dict(cls, d: Dict[str, Any]) -> SawtoothWindow: + """Deserializes the SawtoothWindow from a dictionary.""" + return cls(delay=_duration(d, "delay"), window_duration=_duration(d, "window_duration")) + + class ScalarDataType(Enum): """Scalar data types for request-time field definitions. Only flat (non-nested) types are supported.""" @@ -7188,12 +7221,13 @@ def from_dict(cls, d: Dict[str, Any]) -> SetTagResponse: @dataclass class SlidingWindow: - window_duration: str - """The duration of the sliding window.""" - slide_duration: str """The slide duration (interval by which windows advance, must be positive and less than duration).""" + window_duration: Optional[str] = None + """The duration of the sliding window. Must be positive when set; absent means lifetime (aggregate + over the entity's entire history).""" + def as_dict(self) -> dict: """Serializes the SlidingWindow into a dictionary suitable for use as a JSON request body.""" body = {} @@ -7476,31 +7510,52 @@ class StreamSource: full_name: str """Three-part full name of the Stream (catalog.schema.stream).""" + dataframe_schema: Optional[str] = None + """Schema of the resulting dataframe after transformations, in Spark StructType JSON format (from + df.schema.json()). Any subsequent functions operate against this dataframe.""" + filter_condition: Optional[str] = None """The filter condition applied to the source data before aggregation.""" + transformation_sql: Optional[str] = None + """The pipeline runs these SQL statements immediately after conversion into the schema specified on + the Stream object.""" + def as_dict(self) -> dict: """Serializes the StreamSource into a dictionary suitable for use as a JSON request body.""" body = {} + if self.dataframe_schema is not None: + body["dataframe_schema"] = self.dataframe_schema if self.filter_condition is not None: body["filter_condition"] = self.filter_condition if self.full_name is not None: body["full_name"] = self.full_name + if self.transformation_sql is not None: + body["transformation_sql"] = self.transformation_sql return body def as_shallow_dict(self) -> dict: """Serializes the StreamSource into a shallow dictionary of its immediate attributes.""" body = {} + if self.dataframe_schema is not None: + body["dataframe_schema"] = self.dataframe_schema if self.filter_condition is not None: body["filter_condition"] = self.filter_condition if self.full_name is not None: body["full_name"] = self.full_name + if self.transformation_sql is not None: + body["transformation_sql"] = self.transformation_sql return body @classmethod def from_dict(cls, d: Dict[str, Any]) -> StreamSource: """Deserializes the StreamSource from a dictionary.""" - return cls(filter_condition=d.get("filter_condition", None), full_name=d.get("full_name", None)) + return cls( + dataframe_schema=d.get("dataframe_schema", None), + filter_condition=d.get("filter_condition", None), + full_name=d.get("full_name", None), + transformation_sql=d.get("transformation_sql", None), + ) @dataclass @@ -7705,11 +7760,14 @@ def from_dict(cls, d: Dict[str, Any]) -> TestRegistryWebhookResponse: class TimeWindow: continuous: Optional[ContinuousWindow] = None - long_rolling: Optional[LongRollingWindow] = None - """A long (multi-day) rolling window served via the hybrid batch + streaming path.""" + lifetime: Optional[LifetimeWindow] = None + """A window that spans the entire lifetime of the data source.""" rolling: Optional[RollingWindow] = None + sawtooth: Optional[SawtoothWindow] = None + """A sawtooth window served via the hybrid batch + streaming path.""" + sliding: Optional[SlidingWindow] = None tumbling: Optional[TumblingWindow] = None @@ -7719,10 +7777,12 @@ def as_dict(self) -> dict: body = {} if self.continuous: body["continuous"] = self.continuous.as_dict() - if self.long_rolling: - body["long_rolling"] = self.long_rolling.as_dict() + if self.lifetime: + body["lifetime"] = self.lifetime.as_dict() if self.rolling: body["rolling"] = self.rolling.as_dict() + if self.sawtooth: + body["sawtooth"] = self.sawtooth.as_dict() if self.sliding: body["sliding"] = self.sliding.as_dict() if self.tumbling: @@ -7734,10 +7794,12 @@ def as_shallow_dict(self) -> dict: body = {} if self.continuous: body["continuous"] = self.continuous - if self.long_rolling: - body["long_rolling"] = self.long_rolling + if self.lifetime: + body["lifetime"] = self.lifetime if self.rolling: body["rolling"] = self.rolling + if self.sawtooth: + body["sawtooth"] = self.sawtooth if self.sliding: body["sliding"] = self.sliding if self.tumbling: @@ -7749,8 +7811,9 @@ def from_dict(cls, d: Dict[str, Any]) -> TimeWindow: """Deserializes the TimeWindow from a dictionary.""" return cls( continuous=_from_dict(d, "continuous", ContinuousWindow), - long_rolling=_from_dict(d, "long_rolling", LongRollingWindow), + lifetime=_from_dict(d, "lifetime", LifetimeWindow), rolling=_from_dict(d, "rolling", RollingWindow), + sawtooth=_from_dict(d, "sawtooth", SawtoothWindow), sliding=_from_dict(d, "sliding", SlidingWindow), tumbling=_from_dict(d, "tumbling", TumblingWindow), ) @@ -7914,16 +7977,23 @@ class UcTraceLocation: schema: str """The name of the Unity Catalog schema within ``catalog``.""" + effective_table_prefix: Optional[str] = None + """The trace-table prefix actually in effect: ``table_prefix`` if it was set on creation, otherwise + the server-generated default.""" + table_prefix: Optional[str] = None """The prefix for the trace tables, which are named ``{catalog}.{schema}.{table_prefix}_otel_*``. May only contain letters, digits, and underscores, and may be at most 238 characters. When - unset, a server-generated prefix derived from the experiment ID is used.""" + unset, a server-generated prefix derived from the experiment ID is used and this field stays + empty on read; the resolved value is always available in ``effective_table_prefix``.""" def as_dict(self) -> dict: """Serializes the UcTraceLocation into a dictionary suitable for use as a JSON request body.""" body = {} if self.catalog is not None: body["catalog"] = self.catalog + if self.effective_table_prefix is not None: + body["effective_table_prefix"] = self.effective_table_prefix if self.schema is not None: body["schema"] = self.schema if self.table_prefix is not None: @@ -7935,6 +8005,8 @@ def as_shallow_dict(self) -> dict: body = {} if self.catalog is not None: body["catalog"] = self.catalog + if self.effective_table_prefix is not None: + body["effective_table_prefix"] = self.effective_table_prefix if self.schema is not None: body["schema"] = self.schema if self.table_prefix is not None: @@ -7945,7 +8017,10 @@ def as_shallow_dict(self) -> dict: def from_dict(cls, d: Dict[str, Any]) -> UcTraceLocation: """Deserializes the UcTraceLocation from a dictionary.""" return cls( - catalog=d.get("catalog", None), schema=d.get("schema", None), table_prefix=d.get("table_prefix", None) + catalog=d.get("catalog", None), + effective_table_prefix=d.get("effective_table_prefix", None), + schema=d.get("schema", None), + table_prefix=d.get("table_prefix", None), ) diff --git a/databricks/sdk/service/networking.py b/databricks/sdk/service/networking.py old mode 100755 new mode 100644 index a613a1bd1..c304e9a19 --- a/databricks/sdk/service/networking.py +++ b/databricks/sdk/service/networking.py @@ -25,6 +25,50 @@ # all definitions in this file are in alphabetical order +@dataclass +class AwsVpcEndpointInfo: + aws_vpc_endpoint_id: str + """The ID of the underlying VPC endpoint in AWS. Provided by the customer when registering an + existing AWS VPC endpoint.""" + + aws_account_id: Optional[str] = None + """The AWS account ID in which this VPC endpoint lives.""" + + aws_endpoint_service_id: Optional[str] = None + """The ID of the Databricks VPC endpoint service that this endpoint connects to.""" + + def as_dict(self) -> dict: + """Serializes the AwsVpcEndpointInfo into a dictionary suitable for use as a JSON request body.""" + body = {} + if self.aws_account_id is not None: + body["aws_account_id"] = self.aws_account_id + if self.aws_endpoint_service_id is not None: + body["aws_endpoint_service_id"] = self.aws_endpoint_service_id + if self.aws_vpc_endpoint_id is not None: + body["aws_vpc_endpoint_id"] = self.aws_vpc_endpoint_id + return body + + def as_shallow_dict(self) -> dict: + """Serializes the AwsVpcEndpointInfo into a shallow dictionary of its immediate attributes.""" + body = {} + if self.aws_account_id is not None: + body["aws_account_id"] = self.aws_account_id + if self.aws_endpoint_service_id is not None: + body["aws_endpoint_service_id"] = self.aws_endpoint_service_id + if self.aws_vpc_endpoint_id is not None: + body["aws_vpc_endpoint_id"] = self.aws_vpc_endpoint_id + return body + + @classmethod + def from_dict(cls, d: Dict[str, Any]) -> AwsVpcEndpointInfo: + """Deserializes the AwsVpcEndpointInfo from a dictionary.""" + return cls( + aws_account_id=d.get("aws_account_id", None), + aws_endpoint_service_id=d.get("aws_endpoint_service_id", None), + aws_vpc_endpoint_id=d.get("aws_vpc_endpoint_id", None), + ) + + @dataclass class AzurePrivateEndpointInfo: private_endpoint_name: str @@ -93,6 +137,9 @@ class Endpoint: account_id: Optional[str] = None """The Databricks Account in which the endpoint object exists.""" + aws_vpc_endpoint_info: Optional[AwsVpcEndpointInfo] = None + """Info for an AWS VPC endpoint.""" + azure_private_endpoint_info: Optional[AzurePrivateEndpointInfo] = None """Info for an Azure private endpoint.""" @@ -104,6 +151,9 @@ class Endpoint: """The unique identifier for this endpoint under the account. This field is a UUID generated by Databricks.""" + gcp_psc_endpoint_info: Optional[GcpPscEndpointInfo] = None + """Info for a GCP Private Service Connect endpoint.""" + name: Optional[str] = None """The resource name of the endpoint, which uniquely identifies the endpoint.""" @@ -119,6 +169,8 @@ def as_dict(self) -> dict: body = {} if self.account_id is not None: body["account_id"] = self.account_id + if self.aws_vpc_endpoint_info: + body["aws_vpc_endpoint_info"] = self.aws_vpc_endpoint_info.as_dict() if self.azure_private_endpoint_info: body["azure_private_endpoint_info"] = self.azure_private_endpoint_info.as_dict() if self.create_time is not None: @@ -127,6 +179,8 @@ def as_dict(self) -> dict: body["display_name"] = self.display_name if self.endpoint_id is not None: body["endpoint_id"] = self.endpoint_id + if self.gcp_psc_endpoint_info: + body["gcp_psc_endpoint_info"] = self.gcp_psc_endpoint_info.as_dict() if self.name is not None: body["name"] = self.name if self.region is not None: @@ -142,6 +196,8 @@ def as_shallow_dict(self) -> dict: body = {} if self.account_id is not None: body["account_id"] = self.account_id + if self.aws_vpc_endpoint_info: + body["aws_vpc_endpoint_info"] = self.aws_vpc_endpoint_info if self.azure_private_endpoint_info: body["azure_private_endpoint_info"] = self.azure_private_endpoint_info if self.create_time is not None: @@ -150,6 +206,8 @@ def as_shallow_dict(self) -> dict: body["display_name"] = self.display_name if self.endpoint_id is not None: body["endpoint_id"] = self.endpoint_id + if self.gcp_psc_endpoint_info: + body["gcp_psc_endpoint_info"] = self.gcp_psc_endpoint_info if self.name is not None: body["name"] = self.name if self.region is not None: @@ -165,10 +223,12 @@ def from_dict(cls, d: Dict[str, Any]) -> Endpoint: """Deserializes the Endpoint from a dictionary.""" return cls( account_id=d.get("account_id", None), + aws_vpc_endpoint_info=_from_dict(d, "aws_vpc_endpoint_info", AwsVpcEndpointInfo), azure_private_endpoint_info=_from_dict(d, "azure_private_endpoint_info", AzurePrivateEndpointInfo), create_time=_timestamp(d, "create_time"), display_name=d.get("display_name", None), endpoint_id=d.get("endpoint_id", None), + gcp_psc_endpoint_info=_from_dict(d, "gcp_psc_endpoint_info", GcpPscEndpointInfo), name=d.get("name", None), region=d.get("region", None), state=_enum(d, "state", EndpointState), @@ -187,6 +247,70 @@ class EndpointUseCase(Enum): SERVICE_DIRECT = "SERVICE_DIRECT" +@dataclass +class GcpPscEndpointInfo: + project_id: str + """The GCP consumer project ID in which this PSC endpoint is created. Provided by the customer when + registering an existing PSC endpoint.""" + + psc_endpoint: str + """The name of this PSC connection in the GCP consumer project. Provided by the customer when + registering an existing PSC endpoint.""" + + endpoint_region: str + """The GCP region of the PSC connection endpoint. Provided by the customer when registering an + existing PSC endpoint. GCP supports only same-region PSC, so this must match the workspace + region.""" + + psc_connection_id: Optional[str] = None + """The ID of the underlying Private Service Connect connection in the GCP consumer project, + assigned by GCP when the PSC connection is created.""" + + service_attachment_id: Optional[str] = None + """The ID of the Databricks service attachment this PSC endpoint connects to.""" + + def as_dict(self) -> dict: + """Serializes the GcpPscEndpointInfo into a dictionary suitable for use as a JSON request body.""" + body = {} + if self.endpoint_region is not None: + body["endpoint_region"] = self.endpoint_region + if self.project_id is not None: + body["project_id"] = self.project_id + if self.psc_connection_id is not None: + body["psc_connection_id"] = self.psc_connection_id + if self.psc_endpoint is not None: + body["psc_endpoint"] = self.psc_endpoint + if self.service_attachment_id is not None: + body["service_attachment_id"] = self.service_attachment_id + return body + + def as_shallow_dict(self) -> dict: + """Serializes the GcpPscEndpointInfo into a shallow dictionary of its immediate attributes.""" + body = {} + if self.endpoint_region is not None: + body["endpoint_region"] = self.endpoint_region + if self.project_id is not None: + body["project_id"] = self.project_id + if self.psc_connection_id is not None: + body["psc_connection_id"] = self.psc_connection_id + if self.psc_endpoint is not None: + body["psc_endpoint"] = self.psc_endpoint + if self.service_attachment_id is not None: + body["service_attachment_id"] = self.service_attachment_id + return body + + @classmethod + def from_dict(cls, d: Dict[str, Any]) -> GcpPscEndpointInfo: + """Deserializes the GcpPscEndpointInfo from a dictionary.""" + return cls( + endpoint_region=d.get("endpoint_region", None), + project_id=d.get("project_id", None), + psc_connection_id=d.get("psc_connection_id", None), + psc_endpoint=d.get("psc_endpoint", None), + service_attachment_id=d.get("service_attachment_id", None), + ) + + @dataclass class ListEndpointsResponse: items: Optional[List[Endpoint]] = None diff --git a/databricks/sdk/service/oauth2.py b/databricks/sdk/service/oauth2.py old mode 100755 new mode 100644 diff --git a/databricks/sdk/service/pipelines.py b/databricks/sdk/service/pipelines.py old mode 100755 new mode 100644 index 8f06dfd3f..43720fa0d --- a/databricks/sdk/service/pipelines.py +++ b/databricks/sdk/service/pipelines.py @@ -187,6 +187,8 @@ class ConnectorOptions: outlook_options: Optional[OutlookOptions] = None + reddit_ads_options: Optional[RedditAdsOptions] = None + sharepoint_options: Optional[SharepointOptions] = None smartsheet_options: Optional[SmartsheetOptions] = None @@ -212,6 +214,8 @@ def as_dict(self) -> dict: body["meta_ads_options"] = self.meta_ads_options.as_dict() if self.outlook_options: body["outlook_options"] = self.outlook_options.as_dict() + if self.reddit_ads_options: + body["reddit_ads_options"] = self.reddit_ads_options.as_dict() if self.sharepoint_options: body["sharepoint_options"] = self.sharepoint_options.as_dict() if self.smartsheet_options: @@ -239,6 +243,8 @@ def as_shallow_dict(self) -> dict: body["meta_ads_options"] = self.meta_ads_options if self.outlook_options: body["outlook_options"] = self.outlook_options + if self.reddit_ads_options: + body["reddit_ads_options"] = self.reddit_ads_options if self.sharepoint_options: body["sharepoint_options"] = self.sharepoint_options if self.smartsheet_options: @@ -260,6 +266,7 @@ def from_dict(cls, d: Dict[str, Any]) -> ConnectorOptions: kafka_options=_from_dict(d, "kafka_options", KafkaOptions), meta_ads_options=_from_dict(d, "meta_ads_options", MetaMarketingOptions), outlook_options=_from_dict(d, "outlook_options", OutlookOptions), + reddit_ads_options=_from_dict(d, "reddit_ads_options", RedditAdsOptions), sharepoint_options=_from_dict(d, "sharepoint_options", SharepointOptions), smartsheet_options=_from_dict(d, "smartsheet_options", SmartsheetOptions), tiktok_ads_options=_from_dict(d, "tiktok_ads_options", TikTokAdsOptions), @@ -1018,6 +1025,70 @@ def from_dict(cls, d: Dict[str, Any]) -> GoogleAdsConfig: return cls(manager_account_id=d.get("manager_account_id", None)) +@dataclass +class GoogleAdsCustomReportOptions: + """User-defined custom report for the Google Ads connector. Mirrors the resource + fields + + segments + metrics model that Google Ads GAQL exposes. The customer account this report runs + against is supplied by the source schema (namespace), not by this message. The whole message is + gated by the parent GoogleAdsOptions.custom_report_options stage; per-field stage annotations + are intentionally omitted. Only supported on table-type objects: a custom report requires a + destination table, so it cannot be specified at the schema/source level.""" + + resource: str + """(Required) Google Ads resource to query (e.g. "ad_group_ad", "keyword_view", + "search_term_view"). Must be a resource that has metrics. Values are validated against Google + Ads' field-service catalog at pipeline plan time.""" + + metrics: Optional[List[str]] = None + """(Optional) Metric fields to select (e.g. "metrics.clicks", "metrics.cost_micros"). Multiple + values are joined into the GAQL SELECT clause.""" + + resource_fields: Optional[List[str]] = None + """(Optional) Resource fields to select, in fully-qualified GAQL form (e.g. "ad_group_ad.ad.id", + "ad_group_ad.status"). Multiple values are joined into the GAQL SELECT clause.""" + + segments: Optional[List[str]] = None + """(Optional) Segment fields to select (e.g. "segments.date", "segments.device"). Must include at + least one of segments.date, segments.week, or segments.month — that segment is used as the + incremental cursor for the table.""" + + def as_dict(self) -> dict: + """Serializes the GoogleAdsCustomReportOptions into a dictionary suitable for use as a JSON request body.""" + body = {} + if self.metrics: + body["metrics"] = [v for v in self.metrics] + if self.resource is not None: + body["resource"] = self.resource + if self.resource_fields: + body["resource_fields"] = [v for v in self.resource_fields] + if self.segments: + body["segments"] = [v for v in self.segments] + return body + + def as_shallow_dict(self) -> dict: + """Serializes the GoogleAdsCustomReportOptions into a shallow dictionary of its immediate attributes.""" + body = {} + if self.metrics: + body["metrics"] = self.metrics + if self.resource is not None: + body["resource"] = self.resource + if self.resource_fields: + body["resource_fields"] = self.resource_fields + if self.segments: + body["segments"] = self.segments + return body + + @classmethod + def from_dict(cls, d: Dict[str, Any]) -> GoogleAdsCustomReportOptions: + """Deserializes the GoogleAdsCustomReportOptions from a dictionary.""" + return cls( + metrics=d.get("metrics", None), + resource=d.get("resource", None), + resource_fields=d.get("resource_fields", None), + segments=d.get("segments", None), + ) + + @dataclass class GoogleAdsOptions: """Google Ads specific options for ingestion (object-level). When set, these values override the @@ -1028,6 +1099,12 @@ class GoogleAdsOptions: customer accounts under this manager account. Overrides GoogleAdsConfig.manager_account_id from source_configurations when set.""" + custom_report_options: Optional[GoogleAdsCustomReportOptions] = None + """(Optional) Custom report definition. When set, the table is treated as a user-defined Google Ads + custom report: the connector synthesizes a GAQL query from the resource, fields, segments, and + metrics specified here. When unset, the table must match one of the connector's prebuilt + sources.""" + lookback_window_days: Optional[int] = None """(Optional) Number of days to look back for report tables to capture late-arriving data. If not specified, defaults to 30 days.""" @@ -1040,6 +1117,8 @@ class GoogleAdsOptions: def as_dict(self) -> dict: """Serializes the GoogleAdsOptions into a dictionary suitable for use as a JSON request body.""" body = {} + if self.custom_report_options: + body["custom_report_options"] = self.custom_report_options.as_dict() if self.lookback_window_days is not None: body["lookback_window_days"] = self.lookback_window_days if self.manager_account_id is not None: @@ -1051,6 +1130,8 @@ def as_dict(self) -> dict: def as_shallow_dict(self) -> dict: """Serializes the GoogleAdsOptions into a shallow dictionary of its immediate attributes.""" body = {} + if self.custom_report_options: + body["custom_report_options"] = self.custom_report_options if self.lookback_window_days is not None: body["lookback_window_days"] = self.lookback_window_days if self.manager_account_id is not None: @@ -1063,6 +1144,7 @@ def as_shallow_dict(self) -> dict: def from_dict(cls, d: Dict[str, Any]) -> GoogleAdsOptions: """Deserializes the GoogleAdsOptions from a dictionary.""" return cls( + custom_report_options=_from_dict(d, "custom_report_options", GoogleAdsCustomReportOptions), lookback_window_days=d.get("lookback_window_days", None), manager_account_id=d.get("manager_account_id", None), sync_start_date=d.get("sync_start_date", None), @@ -1856,6 +1938,11 @@ class MetaMarketingOptions: """(Optional) Window in days to revisit data during sync to capture updated conversion data from the API, shared by prebuilt and custom reports.""" + custom_report_options: Optional[MetaMarketingOptionsMetaMarketingCustomReportOptions] = None + """(Optional) Per-table custom report definition. When set, defines the shape of the insights call + for this table (level/fields/breakdowns/action_breakdowns/etc.). Supersedes the deprecated flat + report-shape fields above.""" + level: Optional[str] = None """(Optional, DEPRECATED — use custom_report_options.level) Granularity of data to pull (account, ad, adset, campaign)""" @@ -1881,6 +1968,8 @@ def as_dict(self) -> dict: body["breakdowns"] = [v for v in self.breakdowns] if self.custom_insights_lookback_window is not None: body["custom_insights_lookback_window"] = self.custom_insights_lookback_window + if self.custom_report_options: + body["custom_report_options"] = self.custom_report_options.as_dict() if self.level is not None: body["level"] = self.level if self.start_date is not None: @@ -1902,6 +1991,8 @@ def as_shallow_dict(self) -> dict: body["breakdowns"] = self.breakdowns if self.custom_insights_lookback_window is not None: body["custom_insights_lookback_window"] = self.custom_insights_lookback_window + if self.custom_report_options: + body["custom_report_options"] = self.custom_report_options if self.level is not None: body["level"] = self.level if self.start_date is not None: @@ -1919,12 +2010,87 @@ def from_dict(cls, d: Dict[str, Any]) -> MetaMarketingOptions: action_report_time=d.get("action_report_time", None), breakdowns=d.get("breakdowns", None), custom_insights_lookback_window=d.get("custom_insights_lookback_window", None), + custom_report_options=_from_dict( + d, "custom_report_options", MetaMarketingOptionsMetaMarketingCustomReportOptions + ), level=d.get("level", None), start_date=d.get("start_date", None), time_increment=d.get("time_increment", None), ) +@dataclass +class MetaMarketingOptionsMetaMarketingCustomReportOptions: + """Defines the shape of a single Meta Ads custom report (one /insights call shape). start_date, + custom_insights_lookback_window live on MetaMarketingOptions, not here. Metrics are not + customer-selectable; the connector returns a fixed standard metric set.""" + + action_attribution_windows: Optional[List[str]] = None + """(Optional) Action attribution windows for insights reporting (e.g. "28d_click", "1d_view")""" + + action_breakdowns: Optional[List[str]] = None + """(Optional) Action breakdowns to configure for data aggregation""" + + action_report_time: Optional[str] = None + """(Optional) Timing used to report action statistics (impression, conversion, mixed, or lifetime)""" + + breakdowns: Optional[List[str]] = None + """(Optional) Breakdowns to configure for data aggregation""" + + level: Optional[str] = None + """(Optional) Granularity of data to pull (account, ad, adset, campaign)""" + + time_increment: Optional[str] = None + """(Optional) Value in string by which to aggregate statistics (all_days, monthly or number of + days)""" + + def as_dict(self) -> dict: + """Serializes the MetaMarketingOptionsMetaMarketingCustomReportOptions into a dictionary suitable for use as a JSON request body.""" + body = {} + if self.action_attribution_windows: + body["action_attribution_windows"] = [v for v in self.action_attribution_windows] + if self.action_breakdowns: + body["action_breakdowns"] = [v for v in self.action_breakdowns] + if self.action_report_time is not None: + body["action_report_time"] = self.action_report_time + if self.breakdowns: + body["breakdowns"] = [v for v in self.breakdowns] + if self.level is not None: + body["level"] = self.level + if self.time_increment is not None: + body["time_increment"] = self.time_increment + return body + + def as_shallow_dict(self) -> dict: + """Serializes the MetaMarketingOptionsMetaMarketingCustomReportOptions into a shallow dictionary of its immediate attributes.""" + body = {} + if self.action_attribution_windows: + body["action_attribution_windows"] = self.action_attribution_windows + if self.action_breakdowns: + body["action_breakdowns"] = self.action_breakdowns + if self.action_report_time is not None: + body["action_report_time"] = self.action_report_time + if self.breakdowns: + body["breakdowns"] = self.breakdowns + if self.level is not None: + body["level"] = self.level + if self.time_increment is not None: + body["time_increment"] = self.time_increment + return body + + @classmethod + def from_dict(cls, d: Dict[str, Any]) -> MetaMarketingOptionsMetaMarketingCustomReportOptions: + """Deserializes the MetaMarketingOptionsMetaMarketingCustomReportOptions from a dictionary.""" + return cls( + action_attribution_windows=d.get("action_attribution_windows", None), + action_breakdowns=d.get("action_breakdowns", None), + action_report_time=d.get("action_report_time", None), + breakdowns=d.get("breakdowns", None), + level=d.get("level", None), + time_increment=d.get("time_increment", None), + ) + + @dataclass class NotebookLibrary: path: Optional[str] = None @@ -3627,6 +3793,92 @@ class PublishingMode(Enum): LEGACY_PUBLISHING_MODE = "LEGACY_PUBLISHING_MODE" +@dataclass +class RedditAdsOptions: + """Reddit Ads specific options for ingestion""" + + custom_report_options: Optional[RedditAdsOptionsRedditAdsCustomReportOptions] = None + """(Optional) Custom report definition. When set, the table is treated as a user-defined Reddit Ads + custom report. When unset, the table must match one of the connector's prebuilt sources.""" + + lookback_window_days: Optional[int] = None + """(Optional) Number of days to look back for report tables during incremental sync to capture + late-arriving conversions and attribution data. If not specified, defaults to 30 days.""" + + sync_start_date: Optional[str] = None + """(Optional) Start date for the initial sync of report tables in YYYY-MM-DD format. This + determines the earliest date from which to sync historical data. If not specified, defaults to 2 + years ago.""" + + def as_dict(self) -> dict: + """Serializes the RedditAdsOptions into a dictionary suitable for use as a JSON request body.""" + body = {} + if self.custom_report_options: + body["custom_report_options"] = self.custom_report_options.as_dict() + if self.lookback_window_days is not None: + body["lookback_window_days"] = self.lookback_window_days + if self.sync_start_date is not None: + body["sync_start_date"] = self.sync_start_date + return body + + def as_shallow_dict(self) -> dict: + """Serializes the RedditAdsOptions into a shallow dictionary of its immediate attributes.""" + body = {} + if self.custom_report_options: + body["custom_report_options"] = self.custom_report_options + if self.lookback_window_days is not None: + body["lookback_window_days"] = self.lookback_window_days + if self.sync_start_date is not None: + body["sync_start_date"] = self.sync_start_date + return body + + @classmethod + def from_dict(cls, d: Dict[str, Any]) -> RedditAdsOptions: + """Deserializes the RedditAdsOptions from a dictionary.""" + return cls( + custom_report_options=_from_dict(d, "custom_report_options", RedditAdsOptionsRedditAdsCustomReportOptions), + lookback_window_days=d.get("lookback_window_days", None), + sync_start_date=d.get("sync_start_date", None), + ) + + +@dataclass +class RedditAdsOptionsRedditAdsCustomReportOptions: + """User-defined custom report for the Reddit Ads connector. Applies only to the custom_report table + — prebuilt tables ignore this.""" + + breakdowns: Optional[List[str]] = None + """(Optional) Breakdown dimensions to group report data by. Examples: CAMPAIGN_ID, DATE, COUNTRY, + REGION, AD_ID. Must include at least one time dimension (DATE or HOUR).""" + + fields: Optional[List[str]] = None + """(Optional) Fields to include in the report (maps to the Reddit Ads API ``fields`` parameter). + Examples: IMPRESSIONS, CLICKS, SPEND, CPC, CTR.""" + + def as_dict(self) -> dict: + """Serializes the RedditAdsOptionsRedditAdsCustomReportOptions into a dictionary suitable for use as a JSON request body.""" + body = {} + if self.breakdowns: + body["breakdowns"] = [v for v in self.breakdowns] + if self.fields: + body["fields"] = [v for v in self.fields] + return body + + def as_shallow_dict(self) -> dict: + """Serializes the RedditAdsOptionsRedditAdsCustomReportOptions into a shallow dictionary of its immediate attributes.""" + body = {} + if self.breakdowns: + body["breakdowns"] = self.breakdowns + if self.fields: + body["fields"] = self.fields + return body + + @classmethod + def from_dict(cls, d: Dict[str, Any]) -> RedditAdsOptionsRedditAdsCustomReportOptions: + """Deserializes the RedditAdsOptionsRedditAdsCustomReportOptions from a dictionary.""" + return cls(breakdowns=d.get("breakdowns", None), fields=d.get("fields", None)) + + @dataclass class ReplaceWhereOverride: """Specifies a replace_where predicate override for a replace where flow.""" @@ -4446,6 +4698,10 @@ class TableSpecificConfig: """The column names specifying the logical order of events in the source data. Spark Declarative Pipelines uses this sequencing to handle change events that arrive out of order.""" + source_metadata_column: Optional[str] = None + """(Optional) Name of the struct column added to each ingested record to hold per row source + metadata.""" + table_properties: Optional[Dict[str, str]] = None """Table properties to set on the destination table. These are key-value pairs that configure various Delta table behaviors or any user defined properties. Example: @@ -4481,6 +4737,8 @@ def as_dict(self) -> dict: body["scd_type"] = self.scd_type.value if self.sequence_by: body["sequence_by"] = [v for v in self.sequence_by] + if self.source_metadata_column is not None: + body["source_metadata_column"] = self.source_metadata_column if self.table_properties: body["table_properties"] = self.table_properties if self.workday_report_parameters: @@ -4512,6 +4770,8 @@ def as_shallow_dict(self) -> dict: body["scd_type"] = self.scd_type if self.sequence_by: body["sequence_by"] = self.sequence_by + if self.source_metadata_column is not None: + body["source_metadata_column"] = self.source_metadata_column if self.table_properties: body["table_properties"] = self.table_properties if self.workday_report_parameters: @@ -4537,6 +4797,7 @@ def from_dict(cls, d: Dict[str, Any]) -> TableSpecificConfig: salesforce_include_formula_fields=d.get("salesforce_include_formula_fields", None), scd_type=_enum(d, "scd_type", TableSpecificConfigScdType), sequence_by=d.get("sequence_by", None), + source_metadata_column=d.get("source_metadata_column", None), table_properties=d.get("table_properties", None), workday_report_parameters=_from_dict( d, "workday_report_parameters", IngestionPipelineDefinitionWorkdayReportParameters @@ -4556,6 +4817,12 @@ class TableSpecificConfigScdType(Enum): class TikTokAdsOptions: """TikTok Ads specific options for ingestion""" + custom_report_options: Optional[TikTokAdsOptionsTikTokAdsCustomReportOptions] = None + """(Optional) Custom report definition. When set, the table is treated as a user-defined TikTok Ads + custom report: the connector synthesizes a report request from the dimensions, metrics, report + type, and data level specified here. Supersedes the deprecated top-level + dimensions/metrics/report_type/ data_level/query_lifetime fields above.""" + data_level: Optional[TikTokAdsOptionsTikTokDataLevel] = None """Deprecated. Use custom_report_options.data_level instead.""" @@ -4582,6 +4849,8 @@ class TikTokAdsOptions: def as_dict(self) -> dict: """Serializes the TikTokAdsOptions into a dictionary suitable for use as a JSON request body.""" body = {} + if self.custom_report_options: + body["custom_report_options"] = self.custom_report_options.as_dict() if self.data_level is not None: body["data_level"] = self.data_level.value if self.dimensions: @@ -4601,6 +4870,8 @@ def as_dict(self) -> dict: def as_shallow_dict(self) -> dict: """Serializes the TikTokAdsOptions into a shallow dictionary of its immediate attributes.""" body = {} + if self.custom_report_options: + body["custom_report_options"] = self.custom_report_options if self.data_level is not None: body["data_level"] = self.data_level if self.dimensions: @@ -4621,6 +4892,7 @@ def as_shallow_dict(self) -> dict: def from_dict(cls, d: Dict[str, Any]) -> TikTokAdsOptions: """Deserializes the TikTokAdsOptions from a dictionary.""" return cls( + custom_report_options=_from_dict(d, "custom_report_options", TikTokAdsOptionsTikTokAdsCustomReportOptions), data_level=_enum(d, "data_level", TikTokAdsOptionsTikTokDataLevel), dimensions=d.get("dimensions", None), lookback_window_days=d.get("lookback_window_days", None), @@ -4631,6 +4903,71 @@ def from_dict(cls, d: Dict[str, Any]) -> TikTokAdsOptions: ) +@dataclass +class TikTokAdsOptionsTikTokAdsCustomReportOptions: + """User-defined custom report for the TikTok Ads connector. Groups the dimensions + metrics + + report type + data level that define a TikTok Ads custom report request.""" + + data_level: Optional[TikTokAdsOptionsTikTokDataLevel] = None + """(Optional) Data level for the report. If not specified, defaults to AUCTION_CAMPAIGN.""" + + dimensions: Optional[List[str]] = None + """(Optional) Dimensions to include in the report (e.g. "campaign_id", "adgroup_id", "ad_id", + "stat_time_day", "stat_time_hour").""" + + metrics: Optional[List[str]] = None + """(Optional) Metrics to include in the report (e.g. "spend", "impressions", "clicks", + "conversion", "cpc").""" + + query_lifetime: Optional[bool] = None + """(Optional) Whether to request lifetime metrics (all-time aggregated data). When true, the report + returns all-time data. If not specified, defaults to false.""" + + report_type: Optional[TikTokAdsOptionsTikTokReportType] = None + """(Optional) Report type for the TikTok Ads API. If not specified, defaults to BASIC.""" + + def as_dict(self) -> dict: + """Serializes the TikTokAdsOptionsTikTokAdsCustomReportOptions into a dictionary suitable for use as a JSON request body.""" + body = {} + if self.data_level is not None: + body["data_level"] = self.data_level.value + if self.dimensions: + body["dimensions"] = [v for v in self.dimensions] + if self.metrics: + body["metrics"] = [v for v in self.metrics] + if self.query_lifetime is not None: + body["query_lifetime"] = self.query_lifetime + if self.report_type is not None: + body["report_type"] = self.report_type.value + return body + + def as_shallow_dict(self) -> dict: + """Serializes the TikTokAdsOptionsTikTokAdsCustomReportOptions into a shallow dictionary of its immediate attributes.""" + body = {} + if self.data_level is not None: + body["data_level"] = self.data_level + if self.dimensions: + body["dimensions"] = self.dimensions + if self.metrics: + body["metrics"] = self.metrics + if self.query_lifetime is not None: + body["query_lifetime"] = self.query_lifetime + if self.report_type is not None: + body["report_type"] = self.report_type + return body + + @classmethod + def from_dict(cls, d: Dict[str, Any]) -> TikTokAdsOptionsTikTokAdsCustomReportOptions: + """Deserializes the TikTokAdsOptionsTikTokAdsCustomReportOptions from a dictionary.""" + return cls( + data_level=_enum(d, "data_level", TikTokAdsOptionsTikTokDataLevel), + dimensions=d.get("dimensions", None), + metrics=d.get("metrics", None), + query_lifetime=d.get("query_lifetime", None), + report_type=_enum(d, "report_type", TikTokAdsOptionsTikTokReportType), + ) + + class TikTokAdsOptionsTikTokDataLevel(Enum): """Data level for TikTok Ads report aggregation.""" diff --git a/databricks/sdk/service/postgres.py b/databricks/sdk/service/postgres.py old mode 100755 new mode 100644 index 1c1fe3314..674270ffe --- a/databricks/sdk/service/postgres.py +++ b/databricks/sdk/service/postgres.py @@ -564,6 +564,200 @@ def from_dict(cls, d: Dict[str, Any]) -> CatalogOperationMetadata: return cls() +@dataclass +class CdfConfig: + """A Lakebase CDF configuration (CdfConfig): one per Postgres schema per database, replicating that + schema's tables into a Unity Catalog schema. Immutable once created.""" + + catalog: str + """The Unity Catalog catalog that replicated tables are written into. Set at creation; the + CdfConfig is immutable.""" + + schema: str + """The Unity Catalog schema that replicated tables are written into. Set at creation; the CdfConfig + is immutable.""" + + postgres_schema: str + """The Postgres schema this CdfConfig replicates from. Unique within the parent database. Set at + creation; the CdfConfig is immutable.""" + + cdf_config_id: Optional[str] = None + """The user-specified id; equals the final segment of ``name``. Defaults to the Postgres schema + name for configs without an explicit id.""" + + create_time: Optional[Timestamp] = None + """When the CdfConfig was created.""" + + name: Optional[str] = None + """Output only. The full resource name of the CdfConfig. Format: + projects/{project}/branches/{branch}/databases/{database}/cdf-configs/{cdf_config}""" + + def as_dict(self) -> dict: + """Serializes the CdfConfig into a dictionary suitable for use as a JSON request body.""" + body = {} + if self.catalog is not None: + body["catalog"] = self.catalog + if self.cdf_config_id is not None: + body["cdf_config_id"] = self.cdf_config_id + if self.create_time is not None: + body["create_time"] = self.create_time.ToJsonString() + if self.name is not None: + body["name"] = self.name + if self.postgres_schema is not None: + body["postgres_schema"] = self.postgres_schema + if self.schema is not None: + body["schema"] = self.schema + return body + + def as_shallow_dict(self) -> dict: + """Serializes the CdfConfig into a shallow dictionary of its immediate attributes.""" + body = {} + if self.catalog is not None: + body["catalog"] = self.catalog + if self.cdf_config_id is not None: + body["cdf_config_id"] = self.cdf_config_id + if self.create_time is not None: + body["create_time"] = self.create_time + if self.name is not None: + body["name"] = self.name + if self.postgres_schema is not None: + body["postgres_schema"] = self.postgres_schema + if self.schema is not None: + body["schema"] = self.schema + return body + + @classmethod + def from_dict(cls, d: Dict[str, Any]) -> CdfConfig: + """Deserializes the CdfConfig from a dictionary.""" + return cls( + catalog=d.get("catalog", None), + cdf_config_id=d.get("cdf_config_id", None), + create_time=_timestamp(d, "create_time"), + name=d.get("name", None), + postgres_schema=d.get("postgres_schema", None), + schema=d.get("schema", None), + ) + + +@dataclass +class CdfConfigOperationMetadata: + """Metadata for CdfConfig long-running operations. Intentionally empty today; fields (e.g. + progress) may be added as the operation contract grows.""" + + def as_dict(self) -> dict: + """Serializes the CdfConfigOperationMetadata into a dictionary suitable for use as a JSON request body.""" + body = {} + return body + + def as_shallow_dict(self) -> dict: + """Serializes the CdfConfigOperationMetadata into a shallow dictionary of its immediate attributes.""" + body = {} + return body + + @classmethod + def from_dict(cls, d: Dict[str, Any]) -> CdfConfigOperationMetadata: + """Deserializes the CdfConfigOperationMetadata from a dictionary.""" + return cls() + + +class CdfState(Enum): + """The replication state of a single replicated table (CdfStatus).""" + + CDF_STATE_SKIPPED = "CDF_STATE_SKIPPED" + CDF_STATE_SNAPSHOTTING = "CDF_STATE_SNAPSHOTTING" + CDF_STATE_STREAMING = "CDF_STATE_STREAMING" + CDF_STATE_TERMINATED = "CDF_STATE_TERMINATED" + + +@dataclass +class CdfStatus: + """The read-only replication status of a single Postgres table replicated under a CdfConfig. One + status exists per replicated table. It is created automatically and cannot be modified.""" + + committed_lsn: Optional[str] = None + """The high-watermark Log Sequence Number (LSN) committed to Delta Lake.""" + + create_time: Optional[Timestamp] = None + """When replication for this table was first established.""" + + last_sync_time: Optional[Timestamp] = None + """The last time changes for this table were written to Delta Lake.""" + + name: Optional[str] = None + """Output only. The full resource name of the CdfStatus. Format: + projects/{project}/branches/{branch}/databases/{database}/cdf-configs/{cdf_config}/cdf-statuses/{cdf_status} + The {cdf_status} segment is the Postgres table name.""" + + postgres_table: Optional[str] = None + """The Postgres table being replicated.""" + + state: Optional[CdfState] = None + """The current replication state of this table.""" + + status_detail: Optional[str] = None + """Human-readable detail for the current state (e.g. the skip/error reason). Empty for healthy + states.""" + + uc_table: Optional[str] = None + """The Unity Catalog table receiving replicated data.""" + + def as_dict(self) -> dict: + """Serializes the CdfStatus into a dictionary suitable for use as a JSON request body.""" + body = {} + if self.committed_lsn is not None: + body["committed_lsn"] = self.committed_lsn + if self.create_time is not None: + body["create_time"] = self.create_time.ToJsonString() + if self.last_sync_time is not None: + body["last_sync_time"] = self.last_sync_time.ToJsonString() + if self.name is not None: + body["name"] = self.name + if self.postgres_table is not None: + body["postgres_table"] = self.postgres_table + if self.state is not None: + body["state"] = self.state.value + if self.status_detail is not None: + body["status_detail"] = self.status_detail + if self.uc_table is not None: + body["uc_table"] = self.uc_table + return body + + def as_shallow_dict(self) -> dict: + """Serializes the CdfStatus into a shallow dictionary of its immediate attributes.""" + body = {} + if self.committed_lsn is not None: + body["committed_lsn"] = self.committed_lsn + if self.create_time is not None: + body["create_time"] = self.create_time + if self.last_sync_time is not None: + body["last_sync_time"] = self.last_sync_time + if self.name is not None: + body["name"] = self.name + if self.postgres_table is not None: + body["postgres_table"] = self.postgres_table + if self.state is not None: + body["state"] = self.state + if self.status_detail is not None: + body["status_detail"] = self.status_detail + if self.uc_table is not None: + body["uc_table"] = self.uc_table + return body + + @classmethod + def from_dict(cls, d: Dict[str, Any]) -> CdfStatus: + """Deserializes the CdfStatus from a dictionary.""" + return cls( + committed_lsn=d.get("committed_lsn", None), + create_time=_timestamp(d, "create_time"), + last_sync_time=_timestamp(d, "last_sync_time"), + name=d.get("name", None), + postgres_table=d.get("postgres_table", None), + state=_enum(d, "state", CdfState), + status_detail=d.get("status_detail", None), + uc_table=d.get("uc_table", None), + ) + + @dataclass class DataApi: """DataApi represents the Data API (PostgREST) configuration for a Database. At most one DataApi @@ -1875,6 +2069,80 @@ def from_dict(cls, d: Dict[str, Any]) -> ListBranchesResponse: return cls(branches=_repeated_dict(d, "branches", Branch), next_page_token=d.get("next_page_token", None)) +@dataclass +class ListCdfConfigsResponse: + """Response to a ListCdfConfigs request, containing a page of CdfConfigs and a token for fetching + the next page.""" + + cdf_configs: Optional[List[CdfConfig]] = None + """The CdfConfigs under the parent database.""" + + next_page_token: Optional[str] = None + """Token to retrieve the next page of results; empty when there are no more.""" + + def as_dict(self) -> dict: + """Serializes the ListCdfConfigsResponse into a dictionary suitable for use as a JSON request body.""" + body = {} + if self.cdf_configs: + body["cdf_configs"] = [v.as_dict() for v in self.cdf_configs] + if self.next_page_token is not None: + body["next_page_token"] = self.next_page_token + return body + + def as_shallow_dict(self) -> dict: + """Serializes the ListCdfConfigsResponse into a shallow dictionary of its immediate attributes.""" + body = {} + if self.cdf_configs: + body["cdf_configs"] = self.cdf_configs + if self.next_page_token is not None: + body["next_page_token"] = self.next_page_token + return body + + @classmethod + def from_dict(cls, d: Dict[str, Any]) -> ListCdfConfigsResponse: + """Deserializes the ListCdfConfigsResponse from a dictionary.""" + return cls( + cdf_configs=_repeated_dict(d, "cdf_configs", CdfConfig), next_page_token=d.get("next_page_token", None) + ) + + +@dataclass +class ListCdfStatusesResponse: + """Response to a ListCdfStatuses request, containing a page of replicated table statuses and a + token for fetching the next page.""" + + cdf_statuses: Optional[List[CdfStatus]] = None + """The replicated tables under the parent CdfConfig.""" + + next_page_token: Optional[str] = None + """Token to retrieve the next page of results; empty when there are no more.""" + + def as_dict(self) -> dict: + """Serializes the ListCdfStatusesResponse into a dictionary suitable for use as a JSON request body.""" + body = {} + if self.cdf_statuses: + body["cdf_statuses"] = [v.as_dict() for v in self.cdf_statuses] + if self.next_page_token is not None: + body["next_page_token"] = self.next_page_token + return body + + def as_shallow_dict(self) -> dict: + """Serializes the ListCdfStatusesResponse into a shallow dictionary of its immediate attributes.""" + body = {} + if self.cdf_statuses: + body["cdf_statuses"] = self.cdf_statuses + if self.next_page_token is not None: + body["next_page_token"] = self.next_page_token + return body + + @classmethod + def from_dict(cls, d: Dict[str, Any]) -> ListCdfStatusesResponse: + """Deserializes the ListCdfStatusesResponse from a dictionary.""" + return cls( + cdf_statuses=_repeated_dict(d, "cdf_statuses", CdfStatus), next_page_token=d.get("next_page_token", None) + ) + + @dataclass class ListDatabasesResponse: databases: Optional[List[Database]] = None @@ -3343,8 +3611,8 @@ class SyncedTableSyncedTableSpecTypeOverride: """PostgreSQL-specific target type to use for the column.""" size: Optional[int] = None - """Size parameter for the target type. Required when pg_type is PG_SPECIFIC_TYPE_VECTOR or - PG_SPECIFIC_TYPE_HALFVEC (specifies the vector dimension, e.g., 1024).""" + """Size parameter for the target type, for types that take one (e.g. vector dimension, varchar + length). Required when the chosen pg_type needs a size.""" def as_dict(self) -> dict: """Serializes the SyncedTableSyncedTableSpecTypeOverride into a dictionary suitable for use as a JSON request body.""" @@ -3563,6 +3831,43 @@ def create_catalog(self, catalog: Catalog, catalog_id: str) -> CreateCatalogOper operation = Operation.from_dict(res) return CreateCatalogOperation(self, operation) + def create_cdf_config( + self, parent: str, cdf_config: CdfConfig, *, cdf_config_id: Optional[str] = None + ) -> CreateCdfConfigOperation: + """Create a CDF configuration that materializes the change data feed for all tables in a Postgres schema + as open-format Delta tables in Unity Catalog. Once created, each table's change history is + continuously written to its corresponding Lakehouse table. + + :param parent: str + The parent database under which to create the CdfConfig. Format: + projects/{project}/branches/{branch}/databases/{database} + :param cdf_config: :class:`CdfConfig` + The CdfConfig to create. The catalog, schema, and postgres_schema fields are required; all other + fields are output only and ignored on input. + :param cdf_config_id: str (optional) + The user-specified id for the CdfConfig, forming the final segment of its resource name. Must match + the pattern ``[a-z][a-z0-9_]{0,62}``. Defaults to the Postgres schema name when omitted. + + :returns: :class:`Operation` + """ + + body = cdf_config.as_dict() + query = {} + if cdf_config_id is not None: + query["cdf_config_id"] = cdf_config_id + headers = { + "Accept": "application/json", + "Content-Type": "application/json", + } + + cfg = self._api._cfg + if cfg.workspace_id: + headers["X-Databricks-Workspace-Id"] = cfg.workspace_id + + res = self._api.do("POST", f"/api/2.0/postgres/{parent}/cdf-configs", query=query, body=body, headers=headers) + operation = Operation.from_dict(res) + return CreateCdfConfigOperation(self, operation) + def create_data_api(self, parent: str, data_api: DataApi) -> CreateDataApiOperation: """Enable Data API for a database. @@ -3840,6 +4145,36 @@ def delete_catalog(self, name: str) -> DeleteCatalogOperation: operation = Operation.from_dict(res) return DeleteCatalogOperation(self, operation) + def delete_cdf_config(self, name: str, *, force: Optional[bool] = None) -> DeleteCdfConfigOperation: + """Delete a CDF configuration and stop materializing the change data feed. When force=true, also drops + the Delta tables in Unity Catalog. When force=false (default), the existing tables are preserved at + their last state. + + :param name: str + The resource name of the CdfConfig to delete. Format: + projects/{project}/branches/{branch}/databases/{database}/cdf-configs/{cdf_config} + :param force: bool (optional) + When true, also drops the replicated Delta tables in Unity Catalog. When false (the default), the + replicated tables are preserved at their last synced state. + + :returns: :class:`Operation` + """ + + query = {} + if force is not None: + query["force"] = force + headers = { + "Accept": "application/json", + } + + cfg = self._api._cfg + if cfg.workspace_id: + headers["X-Databricks-Workspace-Id"] = cfg.workspace_id + + res = self._api.do("DELETE", f"/api/2.0/postgres/{name}", query=query, headers=headers) + operation = Operation.from_dict(res) + return DeleteCdfConfigOperation(self, operation) + def delete_data_api(self, name: str) -> DeleteDataApiOperation: """Disable Data API for a database. @@ -4071,6 +4406,50 @@ def get_catalog(self, name: str) -> Catalog: res = self._api.do("GET", f"/api/2.0/postgres/{name}", headers=headers) return Catalog.from_dict(res) + def get_cdf_config(self, name: str) -> CdfConfig: + """Get a single Lakebase CDF configuration, including the source Postgres schema, target Unity Catalog + schema, and the identity under which writes are authorized. + + :param name: str + The resource name of the CdfConfig to retrieve. Format: + projects/{project}/branches/{branch}/databases/{database}/cdf-configs/{cdf_config} + + :returns: :class:`CdfConfig` + """ + + headers = { + "Accept": "application/json", + } + + cfg = self._api._cfg + if cfg.workspace_id: + headers["X-Databricks-Workspace-Id"] = cfg.workspace_id + + res = self._api.do("GET", f"/api/2.0/postgres/{name}", headers=headers) + return CdfConfig.from_dict(res) + + def get_cdf_status(self, name: str) -> CdfStatus: + """Get the CDF status of a single table within a Lakebase CDF configuration, including its current state + and the last committed position in the feed. + + :param name: str + The resource name of the CdfStatus to retrieve. Format: + projects/{project}/branches/{branch}/databases/{database}/cdf-configs/{cdf_config}/cdf-statuses/{cdf_status} + + :returns: :class:`CdfStatus` + """ + + headers = { + "Accept": "application/json", + } + + cfg = self._api._cfg + if cfg.workspace_id: + headers["X-Databricks-Workspace-Id"] = cfg.workspace_id + + res = self._api.do("GET", f"/api/2.0/postgres/{name}", headers=headers) + return CdfStatus.from_dict(res) + def get_data_api(self, name: str) -> DataApi: """Get Data API configuration for a database. @@ -4264,6 +4643,84 @@ def list_branches( return query["page_token"] = json["next_page_token"] + def list_cdf_configs( + self, parent: str, *, page_size: Optional[int] = None, page_token: Optional[str] = None + ) -> Iterator[CdfConfig]: + """List all CDF configurations for a Lakebase database. Each configuration maps a Postgres schema to a + Unity Catalog schema where the change data feed is materialized. + + :param parent: str + The parent database to list CdfConfigs for. Format: + projects/{project}/branches/{branch}/databases/{database} + :param page_size: int (optional) + Maximum number of CdfConfigs to return. + :param page_token: str (optional) + Pagination token returned by a previous ListCdfConfigs call. Empty on the first page. + + :returns: Iterator over :class:`CdfConfig` + """ + + query = {} + if page_size is not None: + query["page_size"] = page_size + if page_token is not None: + query["page_token"] = page_token + headers = { + "Accept": "application/json", + } + + cfg = self._api._cfg + if cfg.workspace_id: + headers["X-Databricks-Workspace-Id"] = cfg.workspace_id + + while True: + json = self._api.do("GET", f"/api/2.0/postgres/{parent}/cdf-configs", query=query, headers=headers) + if "cdf_configs" in json: + for v in json["cdf_configs"]: + yield CdfConfig.from_dict(v) + if "next_page_token" not in json or not json["next_page_token"]: + return + query["page_token"] = json["next_page_token"] + + def list_cdf_statuses( + self, parent: str, *, page_size: Optional[int] = None, page_token: Optional[str] = None + ) -> Iterator[CdfStatus]: + """List the per-table CDF statuses within a Lakebase CDF configuration. Each status shows whether a + table's change data feed is snapshotting, streaming, or skipped. + + :param parent: str + The parent CdfConfig to list CdfStatuses for. Format: + projects/{project}/branches/{branch}/databases/{database}/cdf-configs/{cdf_config} + :param page_size: int (optional) + Maximum number of CdfStatuses to return. + :param page_token: str (optional) + Pagination token returned by a previous ListCdfStatuses call. Empty on the first page. + + :returns: Iterator over :class:`CdfStatus` + """ + + query = {} + if page_size is not None: + query["page_size"] = page_size + if page_token is not None: + query["page_token"] = page_token + headers = { + "Accept": "application/json", + } + + cfg = self._api._cfg + if cfg.workspace_id: + headers["X-Databricks-Workspace-Id"] = cfg.workspace_id + + while True: + json = self._api.do("GET", f"/api/2.0/postgres/{parent}/cdf-statuses", query=query, headers=headers) + if "cdf_statuses" in json: + for v in json["cdf_statuses"]: + yield CdfStatus.from_dict(v) + if "next_page_token" not in json or not json["next_page_token"]: + return + query["page_token"] = json["next_page_token"] + def list_databases( self, parent: str, *, page_size: Optional[int] = None, page_token: Optional[str] = None ) -> Iterator[Database]: @@ -4820,6 +5277,83 @@ def done(self) -> bool: return operation.done +class CreateCdfConfigOperation: + """Long-running operation for create_cdf_config""" + + def __init__(self, impl: PostgresAPI, operation: Operation): + self._impl = impl + self._operation = operation + + def wait(self, opts: Optional[lro.LroOptions] = None) -> CdfConfig: + """Wait blocks until the long-running operation is completed. If no timeout is + specified, this will poll indefinitely. If a timeout is provided and the operation + didn't finish within the timeout, this function will raise an error of type + TimeoutError, otherwise returns successful response and any errors encountered. + + :param opts: :class:`LroOptions` + Timeout options (default: polls indefinitely) + + :returns: :class:`CdfConfig` + """ + + def poll_operation(): + operation = self._impl.get_operation(name=self._operation.name) + + # Update local operation state + self._operation = operation + + if not operation.done: + return None, RetryError.continues("operation still in progress") + + if operation.error: + error_msg = operation.error.message if operation.error.message else "unknown error" + if operation.error.error_code: + error_msg = f"[{operation.error.error_code}] {error_msg}" + return None, RetryError.halt(Exception(f"operation failed: {error_msg}")) + + # Operation completed successfully, unmarshal response. + if operation.response is None: + return None, RetryError.halt(Exception("operation completed but no response available")) + + cdf_config = CdfConfig.from_dict(operation.response) + + return cdf_config, None + + return poll(poll_operation, timeout=opts.timeout if opts is not None else None) + + def name(self) -> str: + """Name returns the name of the long-running operation. The name is assigned + by the server and is unique within the service from which the operation is created. + + :returns: str + """ + return self._operation.name + + def metadata(self) -> CdfConfigOperationMetadata: + """Metadata returns metadata associated with the long-running operation. + If the metadata is not available, the returned metadata is None. + + :returns: :class:`CdfConfigOperationMetadata` or None + """ + if self._operation.metadata is None: + return None + + return CdfConfigOperationMetadata.from_dict(self._operation.metadata) + + def done(self) -> bool: + """Done reports whether the long-running operation has completed. + + :returns: bool + """ + # Refresh the operation state first + operation = self._impl.get_operation(name=self._operation.name) + + # Update local operation state + self._operation = operation + + return operation.done + + class CreateDataApiOperation: """Long-running operation for create_data_api""" @@ -5432,6 +5966,81 @@ def done(self) -> bool: return operation.done +class DeleteCdfConfigOperation: + """Long-running operation for delete_cdf_config""" + + def __init__(self, impl: PostgresAPI, operation: Operation): + self._impl = impl + self._operation = operation + + def wait(self, opts: Optional[lro.LroOptions] = None): + """Wait blocks until the long-running operation is completed. If no timeout is + specified, this will poll indefinitely. If a timeout is provided and the operation + didn't finish within the timeout, this function will raise an error of type + TimeoutError, otherwise returns successful response and any errors encountered. + + :param opts: :class:`LroOptions` + Timeout options (default: polls indefinitely) + + :returns: :class:`Any /* MISSING TYPE */` + """ + + def poll_operation(): + operation = self._impl.get_operation(name=self._operation.name) + + # Update local operation state + self._operation = operation + + if not operation.done: + return None, RetryError.continues("operation still in progress") + + if operation.error: + error_msg = operation.error.message if operation.error.message else "unknown error" + if operation.error.error_code: + error_msg = f"[{operation.error.error_code}] {error_msg}" + return None, RetryError.halt(Exception(f"operation failed: {error_msg}")) + + # Operation completed successfully, unmarshal response. + if operation.response is None: + return None, RetryError.halt(Exception("operation completed but no response available")) + + return {}, None + + poll(poll_operation, timeout=opts.timeout if opts is not None else None) + + def name(self) -> str: + """Name returns the name of the long-running operation. The name is assigned + by the server and is unique within the service from which the operation is created. + + :returns: str + """ + return self._operation.name + + def metadata(self) -> CdfConfigOperationMetadata: + """Metadata returns metadata associated with the long-running operation. + If the metadata is not available, the returned metadata is None. + + :returns: :class:`CdfConfigOperationMetadata` or None + """ + if self._operation.metadata is None: + return None + + return CdfConfigOperationMetadata.from_dict(self._operation.metadata) + + def done(self) -> bool: + """Done reports whether the long-running operation has completed. + + :returns: bool + """ + # Refresh the operation state first + operation = self._impl.get_operation(name=self._operation.name) + + # Update local operation state + self._operation = operation + + return operation.done + + class DeleteDataApiOperation: """Long-running operation for delete_data_api""" diff --git a/databricks/sdk/service/provisioning.py b/databricks/sdk/service/provisioning.py old mode 100755 new mode 100644 diff --git a/databricks/sdk/service/qualitymonitorv2.py b/databricks/sdk/service/qualitymonitorv2.py old mode 100755 new mode 100644 diff --git a/databricks/sdk/service/serving.py b/databricks/sdk/service/serving.py old mode 100755 new mode 100644 index d6bce71f8..02f994f3d --- a/databricks/sdk/service/serving.py +++ b/databricks/sdk/service/serving.py @@ -3940,11 +3940,23 @@ class TelemetryConfig: inference_table_config: Optional[TelemetryInferenceTableConfig] = None """Configuration for inference table payload logging, including sampling.""" + table_names: Optional[UnityCatalogTableNames] = None + """The Unity Catalog tables to which endpoint telemetry (logs, traces, and metrics) is exported. + Provide this to create a new telemetry profile for the endpoint from the given tables.""" + + telemetry_profile_id: Optional[str] = None + """The ID of an existing telemetry profile to apply to this endpoint. Provide this to reuse a + telemetry profile that has already been created, instead of specifying table_names.""" + def as_dict(self) -> dict: """Serializes the TelemetryConfig into a dictionary suitable for use as a JSON request body.""" body = {} if self.inference_table_config: body["inference_table_config"] = self.inference_table_config.as_dict() + if self.table_names: + body["table_names"] = self.table_names.as_dict() + if self.telemetry_profile_id is not None: + body["telemetry_profile_id"] = self.telemetry_profile_id return body def as_shallow_dict(self) -> dict: @@ -3952,12 +3964,20 @@ def as_shallow_dict(self) -> dict: body = {} if self.inference_table_config: body["inference_table_config"] = self.inference_table_config + if self.table_names: + body["table_names"] = self.table_names + if self.telemetry_profile_id is not None: + body["telemetry_profile_id"] = self.telemetry_profile_id return body @classmethod def from_dict(cls, d: Dict[str, Any]) -> TelemetryConfig: """Deserializes the TelemetryConfig from a dictionary.""" - return cls(inference_table_config=_from_dict(d, "inference_table_config", TelemetryInferenceTableConfig)) + return cls( + inference_table_config=_from_dict(d, "inference_table_config", TelemetryInferenceTableConfig), + table_names=_from_dict(d, "table_names", UnityCatalogTableNames), + telemetry_profile_id=d.get("telemetry_profile_id", None), + ) @dataclass @@ -4020,6 +4040,61 @@ def from_dict(cls, d: Dict[str, Any]) -> TrafficConfig: return cls(routes=_repeated_dict(d, "routes", Route)) +@dataclass +class UnityCatalogTableNames: + annotations_table: Optional[str] = None + """The full three-level Unity Catalog name (catalog.schema.table) of the table that receives + exported annotations.""" + + logs_table: Optional[str] = None + """The full three-level Unity Catalog name (catalog.schema.table) of the table that receives + exported logs.""" + + metrics_table: Optional[str] = None + """The full three-level Unity Catalog name (catalog.schema.table) of the table that receives + exported metrics.""" + + traces_table: Optional[str] = None + """The full three-level Unity Catalog name (catalog.schema.table) of the table that receives + exported traces (spans).""" + + def as_dict(self) -> dict: + """Serializes the UnityCatalogTableNames into a dictionary suitable for use as a JSON request body.""" + body = {} + if self.annotations_table is not None: + body["annotations_table"] = self.annotations_table + if self.logs_table is not None: + body["logs_table"] = self.logs_table + if self.metrics_table is not None: + body["metrics_table"] = self.metrics_table + if self.traces_table is not None: + body["traces_table"] = self.traces_table + return body + + def as_shallow_dict(self) -> dict: + """Serializes the UnityCatalogTableNames into a shallow dictionary of its immediate attributes.""" + body = {} + if self.annotations_table is not None: + body["annotations_table"] = self.annotations_table + if self.logs_table is not None: + body["logs_table"] = self.logs_table + if self.metrics_table is not None: + body["metrics_table"] = self.metrics_table + if self.traces_table is not None: + body["traces_table"] = self.traces_table + return body + + @classmethod + def from_dict(cls, d: Dict[str, Any]) -> UnityCatalogTableNames: + """Deserializes the UnityCatalogTableNames from a dictionary.""" + return cls( + annotations_table=d.get("annotations_table", None), + logs_table=d.get("logs_table", None), + metrics_table=d.get("metrics_table", None), + traces_table=d.get("traces_table", None), + ) + + @dataclass class UpdateInferenceEndpointNotificationsResponse: email_notifications: Optional[EmailNotifications] = None diff --git a/databricks/sdk/service/settings.py b/databricks/sdk/service/settings.py old mode 100755 new mode 100644 index 3edf8d344..0c7a1f595 --- a/databricks/sdk/service/settings.py +++ b/databricks/sdk/service/settings.py @@ -702,6 +702,7 @@ class ComplianceStandard(Enum): IRAP_PROTECTED = "IRAP_PROTECTED" ISMAP = "ISMAP" ITAR_EAR = "ITAR_EAR" + KSA_ECC_CCC_DCC = "KSA_ECC_CCC_DCC" K_FSI = "K_FSI" NONE = "NONE" PCI_DSS = "PCI_DSS" diff --git a/databricks/sdk/service/settingsv2.py b/databricks/sdk/service/settingsv2.py old mode 100755 new mode 100644 diff --git a/databricks/sdk/service/sharing.py b/databricks/sdk/service/sharing.py old mode 100755 new mode 100644 diff --git a/databricks/sdk/service/sql.py b/databricks/sdk/service/sql.py old mode 100755 new mode 100644 index 748f8c29a..37d339127 --- a/databricks/sdk/service/sql.py +++ b/databricks/sdk/service/sql.py @@ -2464,8 +2464,7 @@ class EndpointInfo: - 2X-Large - 3X-Large - 4X-Large - - 5X-Large - - Auto""" + - 5X-Large""" creator_name: Optional[str] = None """warehouse creator name""" @@ -3104,8 +3103,7 @@ class GetWarehouseResponse: - 2X-Large - 3X-Large - 4X-Large - - 5X-Large - - Auto""" + - 5X-Large""" creator_name: Optional[str] = None """warehouse creator name""" @@ -9388,7 +9386,11 @@ class StatementExecutionAPI: terminal state is reached is a reliable way to determine the final state. - Wait timeouts are approximate, occur server-side, and cannot account for things such as caller delays and network latency from caller to service. - - To guarantee that the statement is kept alive, you must poll at least once every 15 minutes. + - To keep a statement alive, poll for its status at least once every 15 minutes. Regular polling + guarantees the statement stays alive. + - To stop a statement you no longer need, cancel it explicitly with + :method:statementexecution/cancelExecution. Stopping polling does not cancel a statement. Explicit + cancellation is the only way to end statement execution on demand. - The results are only available for one hour after success; polling does not extend this. - The SQL Execution API must be used for the entire lifecycle of the statement. For example, you cannot use the Jobs API to execute the command, and then the SQL Execution API to cancel it.""" @@ -9832,7 +9834,6 @@ def create( - 3X-Large - 4X-Large - 5X-Large - - Auto :param creator_name: str (optional) warehouse creator name :param enable_photon: bool (optional) @@ -10090,7 +10091,6 @@ def edit( - 3X-Large - 4X-Large - 5X-Large - - Auto :param creator_name: str (optional) warehouse creator name :param enable_photon: bool (optional) @@ -10526,15 +10526,17 @@ def start(self, id: str) -> Wait[GetWarehouseResponse]: See :method:wait_get_warehouse_running for more details. """ + body = {} headers = { "Accept": "application/json", + "Content-Type": "application/json", } cfg = self._api._cfg if cfg.workspace_id: headers["X-Databricks-Workspace-Id"] = cfg.workspace_id - op_response = self._api.do("POST", f"/api/2.0/sql/warehouses/{id}/start", headers=headers) + op_response = self._api.do("POST", f"/api/2.0/sql/warehouses/{id}/start", body=body, headers=headers) return Wait(self.wait_get_warehouse_running, id=id) def start_and_wait(self, id: str, timeout=timedelta(minutes=20)) -> GetWarehouseResponse: @@ -10551,15 +10553,17 @@ def stop(self, id: str) -> Wait[GetWarehouseResponse]: See :method:wait_get_warehouse_stopped for more details. """ + body = {} headers = { "Accept": "application/json", + "Content-Type": "application/json", } cfg = self._api._cfg if cfg.workspace_id: headers["X-Databricks-Workspace-Id"] = cfg.workspace_id - op_response = self._api.do("POST", f"/api/2.0/sql/warehouses/{id}/stop", headers=headers) + op_response = self._api.do("POST", f"/api/2.0/sql/warehouses/{id}/stop", body=body, headers=headers) return Wait(self.wait_get_warehouse_stopped, id=id) def stop_and_wait(self, id: str, timeout=timedelta(minutes=20)) -> GetWarehouseResponse: diff --git a/databricks/sdk/service/supervisoragents.py b/databricks/sdk/service/supervisoragents.py old mode 100755 new mode 100644 index fb9b6a1d2..f248cfe58 --- a/databricks/sdk/service/supervisoragents.py +++ b/databricks/sdk/service/supervisoragents.py @@ -623,9 +623,10 @@ class Tool: tool_type: str """Tool type. Must be one of: "genie_space", "knowledge_assistant", "uc_function", "uc_connection", "uc_mcp", "app", "volume", "dashboard", "serving_endpoint", "table", "vector_search_index", - "catalog", "schema", "supervisor_agent", "web_search", "skill". The legacy values - "lakeview_dashboard" and "uc_table" are also accepted and remain equivalent to "dashboard" and - "table" respectively.""" + "catalog", "schema", "supervisor_agent", "databricks_web_search", "skill". The legacy values + "lakeview_dashboard", "uc_table", and "web_search" are also accepted and remain equivalent to + "dashboard", "table", and "databricks_web_search" respectively. The "databricks_web_search" + tool_type maps to the ``web_search`` spec field.""" app: Optional[App] = None @@ -856,9 +857,10 @@ def create_supervisor_agent(self, supervisor_agent: SupervisorAgent) -> Supervis def create_tool(self, parent: str, tool: Tool, tool_id: str) -> Tool: """Creates a Tool under a Supervisor Agent. Specify one of "genie_space", "knowledge_assistant", "uc_function", "uc_connection", "app", "volume", "dashboard", "table", "vector_search_index", - "catalog", "schema", "supervisor_agent", "web_search", "skill" in the request body. The legacy values - "lakeview_dashboard" and "uc_table" are also accepted and remain equivalent to "dashboard" and "table" - respectively. + "catalog", "schema", "supervisor_agent", "databricks_web_search", "skill" in the request body. The + legacy values "lakeview_dashboard", "uc_table", and "web_search" are also accepted and remain + equivalent to "dashboard", "table", and "databricks_web_search" respectively. The + "databricks_web_search" tool_type maps to the ``web_search`` spec field. :param parent: str Parent resource where this tool will be created. Format: supervisor-agents/{supervisor_agent_id} diff --git a/databricks/sdk/service/tags.py b/databricks/sdk/service/tags.py old mode 100755 new mode 100644 diff --git a/databricks/sdk/service/vectorsearch.py b/databricks/sdk/service/vectorsearch.py old mode 100755 new mode 100644 diff --git a/databricks/sdk/service/workspace.py b/databricks/sdk/service/workspace.py old mode 100755 new mode 100644 index 8290f711a..60e4d8574 --- a/databricks/sdk/service/workspace.py +++ b/databricks/sdk/service/workspace.py @@ -548,6 +548,10 @@ class GetRepoResponse: branch: Optional[str] = None """Branch that the local version of the repo is checked out to.""" + git_cli_enabled: Optional[bool] = None + """Whether the Git CLI is enabled for this Git folder (repo). When true, Git commands can be run + directly against this Git folder using the Git CLI.""" + head_commit_id: Optional[str] = None """SHA-1 hash representing the commit ID of the current HEAD of the repo.""" @@ -573,6 +577,8 @@ def as_dict(self) -> dict: body = {} if self.branch is not None: body["branch"] = self.branch + if self.git_cli_enabled is not None: + body["git_cli_enabled"] = self.git_cli_enabled if self.head_commit_id is not None: body["head_commit_id"] = self.head_commit_id if self.id is not None: @@ -592,6 +598,8 @@ def as_shallow_dict(self) -> dict: body = {} if self.branch is not None: body["branch"] = self.branch + if self.git_cli_enabled is not None: + body["git_cli_enabled"] = self.git_cli_enabled if self.head_commit_id is not None: body["head_commit_id"] = self.head_commit_id if self.id is not None: @@ -611,6 +619,7 @@ def from_dict(cls, d: Dict[str, Any]) -> GetRepoResponse: """Deserializes the GetRepoResponse from a dictionary.""" return cls( branch=d.get("branch", None), + git_cli_enabled=d.get("git_cli_enabled", None), head_commit_id=d.get("head_commit_id", None), id=d.get("id", None), path=d.get("path", None), @@ -2101,6 +2110,10 @@ def list(self, *, next_page_token: Optional[str] = None, path_prefix: Optional[s """Returns repos that the calling user has Manage permissions on. Use ``next_page_token`` to iterate through additional pages. + Deprecated: This operation does not return a complete list of the repos in the workspace, because + repos with the Git CLI enabled are not included in its results. Instead, use the Repos and Workspace + APIs to find repos and their associated metadata in the workspace. + :param next_page_token: str (optional) Token used to get the next page of results. If not specified, returns the first page of results as well as a next page token if there are more results. diff --git a/databricks/sdk/version.py b/databricks/sdk/version.py index 1b44a902d..b6eb3d8f8 100644 --- a/databricks/sdk/version.py +++ b/databricks/sdk/version.py @@ -1 +1 @@ -__version__ = "0.121.0" +__version__ = "0.122.0" diff --git a/docs/account/billing/log_delivery.rst b/docs/account/billing/log_delivery.rst old mode 100755 new mode 100644 diff --git a/docs/account/disasterrecovery/disaster_recovery.rst b/docs/account/disasterrecovery/disaster_recovery.rst old mode 100755 new mode 100644 diff --git a/docs/account/disasterrecovery/index.rst b/docs/account/disasterrecovery/index.rst old mode 100755 new mode 100644 diff --git a/docs/account/iam/groups.rst b/docs/account/iam/groups.rst deleted file mode 100644 index dbe024c2a..000000000 --- a/docs/account/iam/groups.rst +++ /dev/null @@ -1,126 +0,0 @@ -``a.groups``: Account Groups -============================ -.. currentmodule:: databricks.sdk.service.iam - -.. py:class:: AccountGroupsAPI - - Groups simplify identity management, making it easier to assign access to Databricks account, data, and - other securable objects. - - It is best practice to assign access to workspaces and access-control policies in Unity Catalog to groups, - instead of to users individually. All Databricks account identities can be assigned as members of groups, - and members inherit permissions that are assigned to their group. - - .. py:method:: create( [, display_name: Optional[str], entitlements: Optional[List[ComplexValue]], external_id: Optional[str], groups: Optional[List[ComplexValue]], id: Optional[str], members: Optional[List[ComplexValue]], meta: Optional[ResourceMeta], roles: Optional[List[ComplexValue]], schemas: Optional[List[GroupSchema]]]) -> Group - - Creates a group in the Databricks account with a unique name, using the supplied group details. - - :param display_name: str (optional) - String that represents a human-readable group name - :param entitlements: List[:class:`ComplexValue`] (optional) - Entitlements assigned to the group. See [assigning entitlements] for a full list of supported - values. - - [assigning entitlements]: https://docs.databricks.com/administration-guide/users-groups/index.html#assigning-entitlements - :param external_id: str (optional) - :param groups: List[:class:`ComplexValue`] (optional) - :param id: str (optional) - Databricks group ID - :param members: List[:class:`ComplexValue`] (optional) - :param meta: :class:`ResourceMeta` (optional) - Container for the group identifier. Workspace local versus account. - :param roles: List[:class:`ComplexValue`] (optional) - Corresponds to AWS instance profile/arn role. - :param schemas: List[:class:`GroupSchema`] (optional) - The schema of the group. - - :returns: :class:`Group` - - - .. py:method:: delete(id: str) - - Deletes a group from the Databricks account. - - :param id: str - Unique ID for a group in the Databricks account. - - - - - .. py:method:: get(id: str) -> Group - - Gets the information for a specific group in the Databricks account. - - :param id: str - Unique ID for a group in the Databricks account. - - :returns: :class:`Group` - - - .. py:method:: list( [, attributes: Optional[str], count: Optional[int], excluded_attributes: Optional[str], filter: Optional[str], sort_by: Optional[str], sort_order: Optional[ListSortOrder], start_index: Optional[int]]) -> Iterator[Group] - - Gets all details of the groups associated with the Databricks account. As of 08/22/2025, this endpoint - will not return members. Instead, members should be retrieved by iterating through `Get group - details`. - - :param attributes: str (optional) - Comma-separated list of attributes to return in response. - :param count: int (optional) - Desired number of results per page. Default is 10000. - :param excluded_attributes: str (optional) - Comma-separated list of attributes to exclude in response. - :param filter: str (optional) - Query by which the results have to be filtered. Supported operators are equals(`eq`), - contains(`co`), starts with(`sw`) and not equals(`ne`). Additionally, simple expressions can be - formed using logical operators - `and` and `or`. The [SCIM RFC] has more details but we currently - only support simple expressions. - - [SCIM RFC]: https://tools.ietf.org/html/rfc7644#section-3.4.2.2 - :param sort_by: str (optional) - Attribute to sort the results. - :param sort_order: :class:`ListSortOrder` (optional) - The order to sort the results. - :param start_index: int (optional) - Specifies the index of the first result. First item is number 1. - - :returns: Iterator over :class:`Group` - - - .. py:method:: patch(id: str [, operations: Optional[List[Patch]], schemas: Optional[List[PatchSchema]]]) - - Partially updates the details of a group. - - :param id: str - Unique ID in the Databricks workspace. - :param operations: List[:class:`Patch`] (optional) - :param schemas: List[:class:`PatchSchema`] (optional) - The schema of the patch request. Must be ["urn:ietf:params:scim:api:messages:2.0:PatchOp"]. - - - - - .. py:method:: update(id: str [, display_name: Optional[str], entitlements: Optional[List[ComplexValue]], external_id: Optional[str], groups: Optional[List[ComplexValue]], members: Optional[List[ComplexValue]], meta: Optional[ResourceMeta], roles: Optional[List[ComplexValue]], schemas: Optional[List[GroupSchema]]]) - - Updates the details of a group by replacing the entire group entity. - - :param id: str - Databricks group ID - :param display_name: str (optional) - String that represents a human-readable group name - :param entitlements: List[:class:`ComplexValue`] (optional) - Entitlements assigned to the group. See [assigning entitlements] for a full list of supported - values. - - [assigning entitlements]: https://docs.databricks.com/administration-guide/users-groups/index.html#assigning-entitlements - :param external_id: str (optional) - :param groups: List[:class:`ComplexValue`] (optional) - :param members: List[:class:`ComplexValue`] (optional) - :param meta: :class:`ResourceMeta` (optional) - Container for the group identifier. Workspace local versus account. - :param roles: List[:class:`ComplexValue`] (optional) - Corresponds to AWS instance profile/arn role. - :param schemas: List[:class:`GroupSchema`] (optional) - The schema of the group. - - - \ No newline at end of file diff --git a/docs/account/iam/service_principals.rst b/docs/account/iam/service_principals.rst deleted file mode 100644 index 6ec4fb814..000000000 --- a/docs/account/iam/service_principals.rst +++ /dev/null @@ -1,226 +0,0 @@ -``a.service_principals``: Account Service Principals -==================================================== -.. currentmodule:: databricks.sdk.service.iam - -.. py:class:: AccountServicePrincipalsAPI - - Identities for use with jobs, automated tools, and systems such as scripts, apps, and CI/CD platforms. - Databricks recommends creating service principals to run production jobs or modify production data. If all - processes that act on production data run with service principals, interactive users do not need any - write, delete, or modify privileges in production. This eliminates the risk of a user overwriting - production data by accident. - - .. py:method:: create( [, active: Optional[bool], application_id: Optional[str], display_name: Optional[str], entitlements: Optional[List[ComplexValue]], external_id: Optional[str], groups: Optional[List[ComplexValue]], id: Optional[str], roles: Optional[List[ComplexValue]], schemas: Optional[List[ServicePrincipalSchema]]]) -> ServicePrincipal - - - Usage: - - .. code-block:: - - import time - - from databricks.sdk import AccountClient - - a = AccountClient() - - sp_create = a.service_principals.create(active=True, display_name=f"sdk-{time.time_ns()}") - - # cleanup - a.service_principals.delete(id=sp_create.id) - - Creates a new service principal in the Databricks account. - - :param active: bool (optional) - If this user is active - :param application_id: str (optional) - UUID relating to the service principal - :param display_name: str (optional) - String that represents a concatenation of given and family names. - :param entitlements: List[:class:`ComplexValue`] (optional) - Entitlements assigned to the service principal. See [assigning entitlements] for a full list of - supported values. - - [assigning entitlements]: https://docs.databricks.com/administration-guide/users-groups/index.html#assigning-entitlements - :param external_id: str (optional) - :param groups: List[:class:`ComplexValue`] (optional) - :param id: str (optional) - Databricks service principal ID. - :param roles: List[:class:`ComplexValue`] (optional) - Corresponds to AWS instance profile/arn role. - :param schemas: List[:class:`ServicePrincipalSchema`] (optional) - The schema of the List response. - - :returns: :class:`ServicePrincipal` - - - .. py:method:: delete(id: str) - - Delete a single service principal in the Databricks account. - - :param id: str - Unique ID for a service principal in the Databricks account. - - - - - .. py:method:: get(id: str) -> ServicePrincipal - - - Usage: - - .. code-block:: - - import time - - from databricks.sdk import AccountClient - - a = AccountClient() - - sp_create = a.service_principals.create(active=True, display_name=f"sdk-{time.time_ns()}") - - sp = a.service_principals.get(id=sp_create.id) - - # cleanup - a.service_principals.delete(id=sp_create.id) - - Gets the details for a single service principal define in the Databricks account. - - :param id: str - Unique ID for a service principal in the Databricks account. - - :returns: :class:`ServicePrincipal` - - - .. py:method:: list( [, attributes: Optional[str], count: Optional[int], excluded_attributes: Optional[str], filter: Optional[str], sort_by: Optional[str], sort_order: Optional[ListSortOrder], start_index: Optional[int]]) -> Iterator[ServicePrincipal] - - - Usage: - - .. code-block:: - - import time - - from databricks.sdk import AccountClient - - a = AccountClient() - - sp_create = a.service_principals.create(active=True, display_name=f"sdk-{time.time_ns()}") - - sp = a.service_principals.get(id=sp_create.id) - - sp_list = a.service_principals.list(filter="displayName eq %v" % (sp.display_name)) - - # cleanup - a.service_principals.delete(id=sp_create.id) - - Gets the set of service principals associated with a Databricks account. - - :param attributes: str (optional) - Comma-separated list of attributes to return in response. - :param count: int (optional) - Desired number of results per page. Default is 10000. - :param excluded_attributes: str (optional) - Comma-separated list of attributes to exclude in response. - :param filter: str (optional) - Query by which the results have to be filtered. Supported operators are equals(`eq`), - contains(`co`), starts with(`sw`) and not equals(`ne`). Additionally, simple expressions can be - formed using logical operators - `and` and `or`. The [SCIM RFC] has more details but we currently - only support simple expressions. - - [SCIM RFC]: https://tools.ietf.org/html/rfc7644#section-3.4.2.2 - :param sort_by: str (optional) - Attribute to sort the results. - :param sort_order: :class:`ListSortOrder` (optional) - The order to sort the results. - :param start_index: int (optional) - Specifies the index of the first result. First item is number 1. - - :returns: Iterator over :class:`ServicePrincipal` - - - .. py:method:: patch(id: str [, operations: Optional[List[Patch]], schemas: Optional[List[PatchSchema]]]) - - - Usage: - - .. code-block:: - - import time - - from databricks.sdk import AccountClient - from databricks.sdk.service import iam - - a = AccountClient() - - sp_create = a.service_principals.create(active=True, display_name=f"sdk-{time.time_ns()}") - - sp = a.service_principals.get(id=sp_create.id) - - a.service_principals.patch( - id=sp.id, - operations=[iam.Patch(op=iam.PatchOp.REPLACE, path="active", value="false")], - schemas=[iam.PatchSchema.URN_IETF_PARAMS_SCIM_API_MESSAGES_2_0_PATCH_OP], - ) - - # cleanup - a.service_principals.delete(id=sp_create.id) - - Partially updates the details of a single service principal in the Databricks account. - - :param id: str - Unique ID in the Databricks workspace. - :param operations: List[:class:`Patch`] (optional) - :param schemas: List[:class:`PatchSchema`] (optional) - The schema of the patch request. Must be ["urn:ietf:params:scim:api:messages:2.0:PatchOp"]. - - - - - .. py:method:: update(id: str [, active: Optional[bool], application_id: Optional[str], display_name: Optional[str], entitlements: Optional[List[ComplexValue]], external_id: Optional[str], groups: Optional[List[ComplexValue]], roles: Optional[List[ComplexValue]], schemas: Optional[List[ServicePrincipalSchema]]]) - - - Usage: - - .. code-block:: - - import time - - from databricks.sdk import AccountClient - - a = AccountClient() - - sp_create = a.service_principals.create(active=True, display_name=f"sdk-{time.time_ns()}") - - sp = a.service_principals.get(id=sp_create.id) - - a.service_principals.update(active=True, display_name=sp.display_name, id=sp.id) - - # cleanup - a.service_principals.delete(id=sp_create.id) - - Updates the details of a single service principal. - - This action replaces the existing service principal with the same name. - - :param id: str - Databricks service principal ID. - :param active: bool (optional) - If this user is active - :param application_id: str (optional) - UUID relating to the service principal - :param display_name: str (optional) - String that represents a concatenation of given and family names. - :param entitlements: List[:class:`ComplexValue`] (optional) - Entitlements assigned to the service principal. See [assigning entitlements] for a full list of - supported values. - - [assigning entitlements]: https://docs.databricks.com/administration-guide/users-groups/index.html#assigning-entitlements - :param external_id: str (optional) - :param groups: List[:class:`ComplexValue`] (optional) - :param roles: List[:class:`ComplexValue`] (optional) - Corresponds to AWS instance profile/arn role. - :param schemas: List[:class:`ServicePrincipalSchema`] (optional) - The schema of the List response. - - - \ No newline at end of file diff --git a/docs/account/iam/users.rst b/docs/account/iam/users.rst deleted file mode 100644 index 4ddf58a71..000000000 --- a/docs/account/iam/users.rst +++ /dev/null @@ -1,255 +0,0 @@ -``a.users``: Account Users -========================== -.. currentmodule:: databricks.sdk.service.iam - -.. py:class:: AccountUsersAPI - - User identities recognized by Databricks and represented by email addresses. - - Databricks recommends using SCIM provisioning to sync users and groups automatically from your identity - provider to your Databricks account. SCIM streamlines onboarding a new employee or team by using your - identity provider to create users and groups in Databricks account and give them the proper level of - access. When a user leaves your organization or no longer needs access to Databricks account, admins can - terminate the user in your identity provider and that user’s account will also be removed from - Databricks account. This ensures a consistent offboarding process and prevents unauthorized users from - accessing sensitive data. - - .. py:method:: create( [, active: Optional[bool], display_name: Optional[str], emails: Optional[List[ComplexValue]], entitlements: Optional[List[ComplexValue]], external_id: Optional[str], groups: Optional[List[ComplexValue]], id: Optional[str], name: Optional[Name], roles: Optional[List[ComplexValue]], schemas: Optional[List[UserSchema]], user_name: Optional[str]]) -> User - - - Usage: - - .. code-block:: - - import time - - from databricks.sdk import AccountClient - - a = AccountClient() - - user = a.users.create( - display_name=f"sdk-{time.time_ns()}", - user_name=f"sdk-{time.time_ns()}@example.com", - ) - - # cleanup - a.users.delete(id=user.id) - - Creates a new user in the Databricks account. This new user will also be added to the Databricks - account. - - :param active: bool (optional) - If this user is active - :param display_name: str (optional) - String that represents a concatenation of given and family names. For example `John Smith`. This - field cannot be updated through the Workspace SCIM APIs when [identity federation is enabled]. Use - Account SCIM APIs to update `displayName`. - - [identity federation is enabled]: https://docs.databricks.com/administration-guide/users-groups/best-practices.html#enable-identity-federation - :param emails: List[:class:`ComplexValue`] (optional) - All the emails associated with the Databricks user. - :param entitlements: List[:class:`ComplexValue`] (optional) - Entitlements assigned to the user. See [assigning entitlements] for a full list of supported values. - - [assigning entitlements]: https://docs.databricks.com/administration-guide/users-groups/index.html#assigning-entitlements - :param external_id: str (optional) - External ID is not currently supported. It is reserved for future use. - :param groups: List[:class:`ComplexValue`] (optional) - :param id: str (optional) - Databricks user ID. - :param name: :class:`Name` (optional) - :param roles: List[:class:`ComplexValue`] (optional) - Corresponds to AWS instance profile/arn role. - :param schemas: List[:class:`UserSchema`] (optional) - The schema of the user. - :param user_name: str (optional) - Email address of the Databricks user. - - :returns: :class:`User` - - - .. py:method:: delete(id: str) - - - Usage: - - .. code-block:: - - import time - - from databricks.sdk import AccountClient - - a = AccountClient() - - user = a.users.create( - display_name=f"sdk-{time.time_ns()}", - user_name=f"sdk-{time.time_ns()}@example.com", - ) - - a.users.delete(id=user.id) - - Deletes a user. Deleting a user from a Databricks account also removes objects associated with the - user. - - :param id: str - Unique ID for a user in the Databricks account. - - - - - .. py:method:: get(id: str [, attributes: Optional[str], count: Optional[int], excluded_attributes: Optional[str], filter: Optional[str], sort_by: Optional[str], sort_order: Optional[GetSortOrder], start_index: Optional[int]]) -> User - - - Usage: - - .. code-block:: - - import time - - from databricks.sdk import AccountClient - - a = AccountClient() - - user = a.users.create( - display_name=f"sdk-{time.time_ns()}", - user_name=f"sdk-{time.time_ns()}@example.com", - ) - - by_id = a.users.get(id=user.id) - - # cleanup - a.users.delete(id=user.id) - - Gets information for a specific user in Databricks account. - - :param id: str - Unique ID for a user in the Databricks account. - :param attributes: str (optional) - Comma-separated list of attributes to return in response. - :param count: int (optional) - Desired number of results per page. Default is 10000. - :param excluded_attributes: str (optional) - Comma-separated list of attributes to exclude in response. - :param filter: str (optional) - Query by which the results have to be filtered. Supported operators are equals(`eq`), - contains(`co`), starts with(`sw`) and not equals(`ne`). Additionally, simple expressions can be - formed using logical operators - `and` and `or`. The [SCIM RFC] has more details but we currently - only support simple expressions. - - [SCIM RFC]: https://tools.ietf.org/html/rfc7644#section-3.4.2.2 - :param sort_by: str (optional) - Attribute to sort the results. Multi-part paths are supported. For example, `userName`, - `name.givenName`, and `emails`. - :param sort_order: :class:`GetSortOrder` (optional) - The order to sort the results. - :param start_index: int (optional) - Specifies the index of the first result. First item is number 1. - - :returns: :class:`User` - - - .. py:method:: list( [, attributes: Optional[str], count: Optional[int], excluded_attributes: Optional[str], filter: Optional[str], sort_by: Optional[str], sort_order: Optional[ListSortOrder], start_index: Optional[int]]) -> Iterator[User] - - Gets details for all the users associated with a Databricks account. - - :param attributes: str (optional) - Comma-separated list of attributes to return in response. - :param count: int (optional) - Desired number of results per page. Default is 10000. - :param excluded_attributes: str (optional) - Comma-separated list of attributes to exclude in response. - :param filter: str (optional) - Query by which the results have to be filtered. Supported operators are equals(`eq`), - contains(`co`), starts with(`sw`) and not equals(`ne`). Additionally, simple expressions can be - formed using logical operators - `and` and `or`. The [SCIM RFC] has more details but we currently - only support simple expressions. - - [SCIM RFC]: https://tools.ietf.org/html/rfc7644#section-3.4.2.2 - :param sort_by: str (optional) - Attribute to sort the results. Multi-part paths are supported. For example, `userName`, - `name.givenName`, and `emails`. - :param sort_order: :class:`ListSortOrder` (optional) - The order to sort the results. - :param start_index: int (optional) - Specifies the index of the first result. First item is number 1. - - :returns: Iterator over :class:`User` - - - .. py:method:: patch(id: str [, operations: Optional[List[Patch]], schemas: Optional[List[PatchSchema]]]) - - - Usage: - - .. code-block:: - - import time - - from databricks.sdk import AccountClient - from databricks.sdk.service import iam - - a = AccountClient() - - user = a.users.create( - display_name=f"sdk-{time.time_ns()}", - user_name=f"sdk-{time.time_ns()}@example.com", - ) - - a.users.patch( - id=user.id, - schemas=[iam.PatchSchema.URN_IETF_PARAMS_SCIM_API_MESSAGES_2_0_PATCH_OP], - operations=[ - iam.Patch( - op=iam.PatchOp.ADD, - value=iam.User(roles=[iam.ComplexValue(value="account_admin")]), - ) - ], - ) - - # cleanup - a.users.delete(id=user.id) - - Partially updates a user resource by applying the supplied operations on specific user attributes. - - :param id: str - Unique ID in the Databricks workspace. - :param operations: List[:class:`Patch`] (optional) - :param schemas: List[:class:`PatchSchema`] (optional) - The schema of the patch request. Must be ["urn:ietf:params:scim:api:messages:2.0:PatchOp"]. - - - - - .. py:method:: update(id: str [, active: Optional[bool], display_name: Optional[str], emails: Optional[List[ComplexValue]], entitlements: Optional[List[ComplexValue]], external_id: Optional[str], groups: Optional[List[ComplexValue]], name: Optional[Name], roles: Optional[List[ComplexValue]], schemas: Optional[List[UserSchema]], user_name: Optional[str]]) - - Replaces a user's information with the data supplied in request. - - :param id: str - Databricks user ID. - :param active: bool (optional) - If this user is active - :param display_name: str (optional) - String that represents a concatenation of given and family names. For example `John Smith`. This - field cannot be updated through the Workspace SCIM APIs when [identity federation is enabled]. Use - Account SCIM APIs to update `displayName`. - - [identity federation is enabled]: https://docs.databricks.com/administration-guide/users-groups/best-practices.html#enable-identity-federation - :param emails: List[:class:`ComplexValue`] (optional) - All the emails associated with the Databricks user. - :param entitlements: List[:class:`ComplexValue`] (optional) - Entitlements assigned to the user. See [assigning entitlements] for a full list of supported values. - - [assigning entitlements]: https://docs.databricks.com/administration-guide/users-groups/index.html#assigning-entitlements - :param external_id: str (optional) - External ID is not currently supported. It is reserved for future use. - :param groups: List[:class:`ComplexValue`] (optional) - :param name: :class:`Name` (optional) - :param roles: List[:class:`ComplexValue`] (optional) - Corresponds to AWS instance profile/arn role. - :param schemas: List[:class:`UserSchema`] (optional) - The schema of the user. - :param user_name: str (optional) - Email address of the Databricks user. - - - \ No newline at end of file diff --git a/docs/account/iam/workspace_assignment.rst b/docs/account/iam/workspace_assignment.rst old mode 100755 new mode 100644 index fa9c2ee3e..ca78b86df --- a/docs/account/iam/workspace_assignment.rst +++ b/docs/account/iam/workspace_assignment.rst @@ -43,9 +43,9 @@ a = AccountClient() - workspace_id = os.environ["DUMMY_WORKSPACE_ID"] + workspace_id = os.environ["TEST_WORKSPACE_ID"] - all = a.workspace_assignment.list(workspace_id=workspace_id) + all = a.workspace_assignment.list(list=workspace_id) Get the permission assignments for the specified Databricks account and Databricks workspace. @@ -74,9 +74,9 @@ spn_id = spn.id - workspace_id = os.environ["DUMMY_WORKSPACE_ID"] + workspace_id = os.environ["TEST_WORKSPACE_ID"] - _ = a.workspace_assignment.update( + a.workspace_assignment.update( workspace_id=workspace_id, principal_id=spn_id, permissions=[iam.WorkspacePermission.USER], diff --git a/docs/account/iamv2/iam_v2.rst b/docs/account/iamv2/iam_v2.rst old mode 100755 new mode 100644 diff --git a/docs/account/index.rst b/docs/account/index.rst old mode 100755 new mode 100644 diff --git a/docs/account/networking/endpoints.rst b/docs/account/networking/endpoints.rst old mode 100755 new mode 100644 diff --git a/docs/account/oauth2/service_principal_secrets.rst b/docs/account/oauth2/service_principal_secrets.rst old mode 100755 new mode 100644 diff --git a/docs/account/provisioning/encryption_keys.rst b/docs/account/provisioning/encryption_keys.rst old mode 100755 new mode 100644 diff --git a/docs/account/settings/network_connectivity.rst b/docs/account/settings/network_connectivity.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/agentbricks.rst b/docs/dbdataclasses/agentbricks.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/aibuilder.rst b/docs/dbdataclasses/aibuilder.rst deleted file mode 100644 index 164dd8164..000000000 --- a/docs/dbdataclasses/aibuilder.rst +++ /dev/null @@ -1,39 +0,0 @@ -AI Builder -========== - -These dataclasses are used in the SDK to represent API requests and responses for services in the ``databricks.sdk.service.aibuilder`` module. - -.. py:currentmodule:: databricks.sdk.service.aibuilder -.. autoclass:: CustomLlm - :members: - :undoc-members: - -.. autoclass:: Dataset - :members: - :undoc-members: - -.. py:class:: State - - States of Custom LLM optimization lifecycle. - - .. py:attribute:: CANCELLED - :value: "CANCELLED" - - .. py:attribute:: COMPLETED - :value: "COMPLETED" - - .. py:attribute:: CREATED - :value: "CREATED" - - .. py:attribute:: FAILED - :value: "FAILED" - - .. py:attribute:: PENDING - :value: "PENDING" - - .. py:attribute:: RUNNING - :value: "RUNNING" - -.. autoclass:: Table - :members: - :undoc-members: diff --git a/docs/dbdataclasses/apps.rst b/docs/dbdataclasses/apps.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/billing.rst b/docs/dbdataclasses/billing.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/bundle.rst b/docs/dbdataclasses/bundle.rst deleted file mode 100755 index 2952c9cae..000000000 --- a/docs/dbdataclasses/bundle.rst +++ /dev/null @@ -1,217 +0,0 @@ -Bundle -====== - -These dataclasses are used in the SDK to represent API requests and responses for services in the ``databricks.sdk.service.bundle`` module. - -.. py:currentmodule:: databricks.sdk.service.bundle -.. autoclass:: Deployment - :members: - :undoc-members: - -.. py:class:: DeploymentMode - - Bundle target deployment mode. Mirrors the `mode` field on a bundle target in `databricks.yml` (see https://docs.databricks.com/dev-tools/bundles/deployment-modes). - - .. py:attribute:: DEPLOYMENT_MODE_DEVELOPMENT - :value: "DEPLOYMENT_MODE_DEVELOPMENT" - - .. py:attribute:: DEPLOYMENT_MODE_PRODUCTION - :value: "DEPLOYMENT_MODE_PRODUCTION" - -.. py:class:: DeploymentResourceType - - Type of a deployment resource. - - .. py:attribute:: DEPLOYMENT_RESOURCE_TYPE_ALERT - :value: "DEPLOYMENT_RESOURCE_TYPE_ALERT" - - .. py:attribute:: DEPLOYMENT_RESOURCE_TYPE_APP - :value: "DEPLOYMENT_RESOURCE_TYPE_APP" - - .. py:attribute:: DEPLOYMENT_RESOURCE_TYPE_CATALOG - :value: "DEPLOYMENT_RESOURCE_TYPE_CATALOG" - - .. py:attribute:: DEPLOYMENT_RESOURCE_TYPE_CLUSTER - :value: "DEPLOYMENT_RESOURCE_TYPE_CLUSTER" - - .. py:attribute:: DEPLOYMENT_RESOURCE_TYPE_DASHBOARD - :value: "DEPLOYMENT_RESOURCE_TYPE_DASHBOARD" - - .. py:attribute:: DEPLOYMENT_RESOURCE_TYPE_DATABASE_CATALOG - :value: "DEPLOYMENT_RESOURCE_TYPE_DATABASE_CATALOG" - - .. py:attribute:: DEPLOYMENT_RESOURCE_TYPE_DATABASE_INSTANCE - :value: "DEPLOYMENT_RESOURCE_TYPE_DATABASE_INSTANCE" - - .. py:attribute:: DEPLOYMENT_RESOURCE_TYPE_EXPERIMENT - :value: "DEPLOYMENT_RESOURCE_TYPE_EXPERIMENT" - - .. py:attribute:: DEPLOYMENT_RESOURCE_TYPE_EXTERNAL_LOCATION - :value: "DEPLOYMENT_RESOURCE_TYPE_EXTERNAL_LOCATION" - - .. py:attribute:: DEPLOYMENT_RESOURCE_TYPE_JOB - :value: "DEPLOYMENT_RESOURCE_TYPE_JOB" - - .. py:attribute:: DEPLOYMENT_RESOURCE_TYPE_MODEL - :value: "DEPLOYMENT_RESOURCE_TYPE_MODEL" - - .. py:attribute:: DEPLOYMENT_RESOURCE_TYPE_MODEL_SERVING_ENDPOINT - :value: "DEPLOYMENT_RESOURCE_TYPE_MODEL_SERVING_ENDPOINT" - - .. py:attribute:: DEPLOYMENT_RESOURCE_TYPE_PIPELINE - :value: "DEPLOYMENT_RESOURCE_TYPE_PIPELINE" - - .. py:attribute:: DEPLOYMENT_RESOURCE_TYPE_POSTGRES_BRANCH - :value: "DEPLOYMENT_RESOURCE_TYPE_POSTGRES_BRANCH" - - .. py:attribute:: DEPLOYMENT_RESOURCE_TYPE_POSTGRES_ENDPOINT - :value: "DEPLOYMENT_RESOURCE_TYPE_POSTGRES_ENDPOINT" - - .. py:attribute:: DEPLOYMENT_RESOURCE_TYPE_POSTGRES_PROJECT - :value: "DEPLOYMENT_RESOURCE_TYPE_POSTGRES_PROJECT" - - .. py:attribute:: DEPLOYMENT_RESOURCE_TYPE_QUALITY_MONITOR - :value: "DEPLOYMENT_RESOURCE_TYPE_QUALITY_MONITOR" - - .. py:attribute:: DEPLOYMENT_RESOURCE_TYPE_REGISTERED_MODEL - :value: "DEPLOYMENT_RESOURCE_TYPE_REGISTERED_MODEL" - - .. py:attribute:: DEPLOYMENT_RESOURCE_TYPE_SCHEMA - :value: "DEPLOYMENT_RESOURCE_TYPE_SCHEMA" - - .. py:attribute:: DEPLOYMENT_RESOURCE_TYPE_SECRET_SCOPE - :value: "DEPLOYMENT_RESOURCE_TYPE_SECRET_SCOPE" - - .. py:attribute:: DEPLOYMENT_RESOURCE_TYPE_SQL_WAREHOUSE - :value: "DEPLOYMENT_RESOURCE_TYPE_SQL_WAREHOUSE" - - .. py:attribute:: DEPLOYMENT_RESOURCE_TYPE_SYNCED_DATABASE_TABLE - :value: "DEPLOYMENT_RESOURCE_TYPE_SYNCED_DATABASE_TABLE" - - .. py:attribute:: DEPLOYMENT_RESOURCE_TYPE_VOLUME - :value: "DEPLOYMENT_RESOURCE_TYPE_VOLUME" - -.. py:class:: DeploymentStatus - - Status of a deployment. - - .. py:attribute:: DEPLOYMENT_STATUS_ACTIVE - :value: "DEPLOYMENT_STATUS_ACTIVE" - - .. py:attribute:: DEPLOYMENT_STATUS_DELETED - :value: "DEPLOYMENT_STATUS_DELETED" - - .. py:attribute:: DEPLOYMENT_STATUS_FAILED - :value: "DEPLOYMENT_STATUS_FAILED" - - .. py:attribute:: DEPLOYMENT_STATUS_IN_PROGRESS - :value: "DEPLOYMENT_STATUS_IN_PROGRESS" - -.. autoclass:: HeartbeatResponse - :members: - :undoc-members: - -.. autoclass:: ListDeploymentsResponse - :members: - :undoc-members: - -.. autoclass:: ListOperationsResponse - :members: - :undoc-members: - -.. autoclass:: ListResourcesResponse - :members: - :undoc-members: - -.. autoclass:: ListVersionsResponse - :members: - :undoc-members: - -.. autoclass:: Operation - :members: - :undoc-members: - -.. py:class:: OperationActionType - - Type of action performed on a resource during a deployment. - - .. py:attribute:: OPERATION_ACTION_TYPE_BIND - :value: "OPERATION_ACTION_TYPE_BIND" - - .. py:attribute:: OPERATION_ACTION_TYPE_BIND_AND_UPDATE - :value: "OPERATION_ACTION_TYPE_BIND_AND_UPDATE" - - .. py:attribute:: OPERATION_ACTION_TYPE_CREATE - :value: "OPERATION_ACTION_TYPE_CREATE" - - .. py:attribute:: OPERATION_ACTION_TYPE_DELETE - :value: "OPERATION_ACTION_TYPE_DELETE" - - .. py:attribute:: OPERATION_ACTION_TYPE_INITIAL_REGISTER - :value: "OPERATION_ACTION_TYPE_INITIAL_REGISTER" - - .. py:attribute:: OPERATION_ACTION_TYPE_RECREATE - :value: "OPERATION_ACTION_TYPE_RECREATE" - - .. py:attribute:: OPERATION_ACTION_TYPE_RESIZE - :value: "OPERATION_ACTION_TYPE_RESIZE" - - .. py:attribute:: OPERATION_ACTION_TYPE_UPDATE - :value: "OPERATION_ACTION_TYPE_UPDATE" - - .. py:attribute:: OPERATION_ACTION_TYPE_UPDATE_WITH_ID - :value: "OPERATION_ACTION_TYPE_UPDATE_WITH_ID" - -.. py:class:: OperationStatus - - Status of a resource operation. - - .. py:attribute:: OPERATION_STATUS_FAILED - :value: "OPERATION_STATUS_FAILED" - - .. py:attribute:: OPERATION_STATUS_SUCCEEDED - :value: "OPERATION_STATUS_SUCCEEDED" - -.. autoclass:: Resource - :members: - :undoc-members: - -.. autoclass:: Version - :members: - :undoc-members: - -.. py:class:: VersionComplete - - Reason why a version was completed. - - .. py:attribute:: VERSION_COMPLETE_FAILURE - :value: "VERSION_COMPLETE_FAILURE" - - .. py:attribute:: VERSION_COMPLETE_FORCE_ABORT - :value: "VERSION_COMPLETE_FORCE_ABORT" - - .. py:attribute:: VERSION_COMPLETE_LEASE_EXPIRED - :value: "VERSION_COMPLETE_LEASE_EXPIRED" - - .. py:attribute:: VERSION_COMPLETE_SUCCESS - :value: "VERSION_COMPLETE_SUCCESS" - -.. py:class:: VersionStatus - - Status of a version. - - .. py:attribute:: VERSION_STATUS_COMPLETED - :value: "VERSION_STATUS_COMPLETED" - - .. py:attribute:: VERSION_STATUS_IN_PROGRESS - :value: "VERSION_STATUS_IN_PROGRESS" - -.. py:class:: VersionType - - Type of version. - - .. py:attribute:: VERSION_TYPE_DEPLOY - :value: "VERSION_TYPE_DEPLOY" - - .. py:attribute:: VERSION_TYPE_DESTROY - :value: "VERSION_TYPE_DESTROY" diff --git a/docs/dbdataclasses/catalog.rst b/docs/dbdataclasses/catalog.rst old mode 100755 new mode 100644 index 8c851257a..273699e6e --- a/docs/dbdataclasses/catalog.rst +++ b/docs/dbdataclasses/catalog.rst @@ -313,6 +313,9 @@ These dataclasses are used in the SDK to represent API requests and responses fo .. py:attribute:: HUBSPOT :value: "HUBSPOT" + .. py:attribute:: JDBC + :value: "JDBC" + .. py:attribute:: META_MARKETING :value: "META_MARKETING" diff --git a/docs/dbdataclasses/cleanrooms.rst b/docs/dbdataclasses/cleanrooms.rst old mode 100755 new mode 100644 index d1d800bc5..3b382465c --- a/docs/dbdataclasses/cleanrooms.rst +++ b/docs/dbdataclasses/cleanrooms.rst @@ -25,6 +25,9 @@ These dataclasses are used in the SDK to represent API requests and responses fo .. py:attribute:: FOREIGN_TABLE :value: "FOREIGN_TABLE" + .. py:attribute:: JAR_ANALYSIS + :value: "JAR_ANALYSIS" + .. py:attribute:: NOTEBOOK_FILE :value: "NOTEBOOK_FILE" @@ -45,6 +48,10 @@ These dataclasses are used in the SDK to represent API requests and responses fo :members: :undoc-members: +.. autoclass:: CleanRoomAssetJarAnalysis + :members: + :undoc-members: + .. autoclass:: CleanRoomAssetNotebook :members: :undoc-members: @@ -93,6 +100,26 @@ These dataclasses are used in the SDK to represent API requests and responses fo :members: :undoc-members: +.. autoclass:: CleanRoomJarAnalysisReview + :members: + :undoc-members: + +.. py:class:: CleanRoomJarAnalysisReviewJarAnalysisReviewState + + .. py:attribute:: APPROVED + :value: "APPROVED" + + .. py:attribute:: PENDING + :value: "PENDING" + + .. py:attribute:: REJECTED + :value: "REJECTED" + +.. py:class:: CleanRoomJarAnalysisReviewJarAnalysisReviewSubReason + + .. py:attribute:: AUTO_APPROVED + :value: "AUTO_APPROVED" + .. autoclass:: CleanRoomNotebookReview :members: :undoc-members: @@ -153,6 +180,26 @@ These dataclasses are used in the SDK to represent API requests and responses fo .. py:attribute:: PROVISIONING :value: "PROVISIONING" +.. autoclass:: CleanRoomTaskRun + :members: + :undoc-members: + +.. autoclass:: CleanRoomTaskRunCleanRoomTaskAnalysisDetails + :members: + :undoc-members: + +.. autoclass:: CleanRoomTaskRunOutputInfo + :members: + :undoc-members: + +.. py:class:: CleanRoomTaskType + + .. py:attribute:: JAR + :value: "JAR" + + .. py:attribute:: NOTEBOOK + :value: "NOTEBOOK" + .. autoclass:: CollaboratorJobRunInfo :members: :undoc-members: @@ -173,6 +220,10 @@ These dataclasses are used in the SDK to represent API requests and responses fo :members: :undoc-members: +.. autoclass:: JarAnalysisVersionReview + :members: + :undoc-members: + .. autoclass:: ListCleanRoomAssetRevisionsResponse :members: :undoc-members: @@ -189,6 +240,10 @@ These dataclasses are used in the SDK to represent API requests and responses fo :members: :undoc-members: +.. autoclass:: ListCleanRoomTaskRunsResponse + :members: + :undoc-members: + .. autoclass:: ListCleanRoomsResponse :members: :undoc-members: diff --git a/docs/dbdataclasses/compute.rst b/docs/dbdataclasses/compute.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/dashboards.rst b/docs/dbdataclasses/dashboards.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/database.rst b/docs/dbdataclasses/database.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/dataclassification.rst b/docs/dbdataclasses/dataclassification.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/dataquality.rst b/docs/dbdataclasses/dataquality.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/disasterrecovery.rst b/docs/dbdataclasses/disasterrecovery.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/environments.rst b/docs/dbdataclasses/environments.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/files.rst b/docs/dbdataclasses/files.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/iam.rst b/docs/dbdataclasses/iam.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/iamv2.rst b/docs/dbdataclasses/iamv2.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/index.rst b/docs/dbdataclasses/index.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/jobs.rst b/docs/dbdataclasses/jobs.rst old mode 100755 new mode 100644 index fdc6accca..a18ba4d8c --- a/docs/dbdataclasses/jobs.rst +++ b/docs/dbdataclasses/jobs.rst @@ -167,7 +167,7 @@ These dataclasses are used in the SDK to represent API requests and responses fo .. py:class:: ComputeSpecAcceleratorType - Customer-facing AcceleratorType: hardware accelerator type for the AiRuntime workload. Per-node accelerator count is encoded in the value name (e.g. ``GPU_8xH100`` means 8 H100s per node). + Hardware accelerator type for the AiRuntime workload. Per-node accelerator count is encoded in the value name (e.g. ``GPU_8xH100`` means 8 H100s per node). .. py:attribute:: GPU_1X_A10 :value: "GPU_1X_A10" @@ -606,6 +606,9 @@ These dataclasses are used in the SDK to represent API requests and responses fo .. py:attribute:: HOURS :value: "HOURS" + .. py:attribute:: MINUTES + :value: "MINUTES" + .. py:attribute:: WEEKS :value: "WEEKS" diff --git a/docs/dbdataclasses/knowledgeassistants.rst b/docs/dbdataclasses/knowledgeassistants.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/marketplace.rst b/docs/dbdataclasses/marketplace.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/ml.rst b/docs/dbdataclasses/ml.rst old mode 100755 new mode 100644 index c0f3e6022..e056f8bf9 --- a/docs/dbdataclasses/ml.rst +++ b/docs/dbdataclasses/ml.rst @@ -533,6 +533,10 @@ These dataclasses are used in the SDK to represent API requests and responses fo :members: :undoc-members: +.. autoclass:: LifetimeWindow + :members: + :undoc-members: + .. autoclass:: LineageContext :members: :undoc-members: @@ -646,10 +650,6 @@ These dataclasses are used in the SDK to represent API requests and responses fo :members: :undoc-members: -.. autoclass:: LongRollingWindow - :members: - :undoc-members: - .. autoclass:: MaterializedFeature :members: :undoc-members: @@ -987,6 +987,10 @@ These dataclasses are used in the SDK to represent API requests and responses fo :members: :undoc-members: +.. autoclass:: SawtoothWindow + :members: + :undoc-members: + .. py:class:: ScalarDataType Scalar data types for request-time field definitions. Only flat (non-nested) types are supported. diff --git a/docs/dbdataclasses/networking.rst b/docs/dbdataclasses/networking.rst index 5e3787247..d79f57732 100644 --- a/docs/dbdataclasses/networking.rst +++ b/docs/dbdataclasses/networking.rst @@ -4,6 +4,10 @@ Networking These dataclasses are used in the SDK to represent API requests and responses for services in the ``databricks.sdk.service.networking`` module. .. py:currentmodule:: databricks.sdk.service.networking +.. autoclass:: AwsVpcEndpointInfo + :members: + :undoc-members: + .. autoclass:: AzurePrivateEndpointInfo :members: :undoc-members: @@ -31,6 +35,10 @@ These dataclasses are used in the SDK to represent API requests and responses fo .. py:attribute:: SERVICE_DIRECT :value: "SERVICE_DIRECT" +.. autoclass:: GcpPscEndpointInfo + :members: + :undoc-members: + .. autoclass:: ListEndpointsResponse :members: :undoc-members: diff --git a/docs/dbdataclasses/oauth2.rst b/docs/dbdataclasses/oauth2.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/pipelines.rst b/docs/dbdataclasses/pipelines.rst old mode 100755 new mode 100644 index c4db788ed..38c56f0ef --- a/docs/dbdataclasses/pipelines.rst +++ b/docs/dbdataclasses/pipelines.rst @@ -213,6 +213,10 @@ These dataclasses are used in the SDK to represent API requests and responses fo :members: :undoc-members: +.. autoclass:: GoogleAdsCustomReportOptions + :members: + :undoc-members: + .. autoclass:: GoogleAdsOptions :members: :undoc-members: @@ -363,6 +367,10 @@ These dataclasses are used in the SDK to represent API requests and responses fo :members: :undoc-members: +.. autoclass:: MetaMarketingOptionsMetaMarketingCustomReportOptions + :members: + :undoc-members: + .. autoclass:: NotebookLibrary :members: :undoc-members: @@ -554,6 +562,14 @@ These dataclasses are used in the SDK to represent API requests and responses fo .. py:attribute:: LEGACY_PUBLISHING_MODE :value: "LEGACY_PUBLISHING_MODE" +.. autoclass:: RedditAdsOptions + :members: + :undoc-members: + +.. autoclass:: RedditAdsOptionsRedditAdsCustomReportOptions + :members: + :undoc-members: + .. autoclass:: ReplaceWhereOverride :members: :undoc-members: @@ -682,6 +698,10 @@ These dataclasses are used in the SDK to represent API requests and responses fo :members: :undoc-members: +.. autoclass:: TikTokAdsOptionsTikTokAdsCustomReportOptions + :members: + :undoc-members: + .. py:class:: TikTokAdsOptionsTikTokDataLevel Data level for TikTok Ads report aggregation. diff --git a/docs/dbdataclasses/postgres.rst b/docs/dbdataclasses/postgres.rst old mode 100755 new mode 100644 index 14ab6900e..425edfc26 --- a/docs/dbdataclasses/postgres.rst +++ b/docs/dbdataclasses/postgres.rst @@ -58,6 +58,34 @@ These dataclasses are used in the SDK to represent API requests and responses fo :members: :undoc-members: +.. autoclass:: CdfConfig + :members: + :undoc-members: + +.. autoclass:: CdfConfigOperationMetadata + :members: + :undoc-members: + +.. py:class:: CdfState + + The replication state of a single replicated table (CdfStatus). + + .. py:attribute:: CDF_STATE_SKIPPED + :value: "CDF_STATE_SKIPPED" + + .. py:attribute:: CDF_STATE_SNAPSHOTTING + :value: "CDF_STATE_SNAPSHOTTING" + + .. py:attribute:: CDF_STATE_STREAMING + :value: "CDF_STATE_STREAMING" + + .. py:attribute:: CDF_STATE_TERMINATED + :value: "CDF_STATE_TERMINATED" + +.. autoclass:: CdfStatus + :members: + :undoc-members: + .. autoclass:: DataApi :members: :undoc-members: @@ -419,6 +447,14 @@ These dataclasses are used in the SDK to represent API requests and responses fo :members: :undoc-members: +.. autoclass:: ListCdfConfigsResponse + :members: + :undoc-members: + +.. autoclass:: ListCdfStatusesResponse + :members: + :undoc-members: + .. autoclass:: ListDatabasesResponse :members: :undoc-members: diff --git a/docs/dbdataclasses/provisioning.rst b/docs/dbdataclasses/provisioning.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/qualitymonitorv2.rst b/docs/dbdataclasses/qualitymonitorv2.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/serving.rst b/docs/dbdataclasses/serving.rst old mode 100755 new mode 100644 index d30520c2a..ffc235bbe --- a/docs/dbdataclasses/serving.rst +++ b/docs/dbdataclasses/serving.rst @@ -539,6 +539,10 @@ These dataclasses are used in the SDK to represent API requests and responses fo :members: :undoc-members: +.. autoclass:: UnityCatalogTableNames + :members: + :undoc-members: + .. autoclass:: UpdateInferenceEndpointNotificationsResponse :members: :undoc-members: diff --git a/docs/dbdataclasses/settings.rst b/docs/dbdataclasses/settings.rst old mode 100755 new mode 100644 index 3a69f3108..33f8fb4ed --- a/docs/dbdataclasses/settings.rst +++ b/docs/dbdataclasses/settings.rst @@ -161,6 +161,9 @@ These dataclasses are used in the SDK to represent API requests and responses fo .. py:attribute:: ITAR_EAR :value: "ITAR_EAR" + .. py:attribute:: KSA_ECC_CCC_DCC + :value: "KSA_ECC_CCC_DCC" + .. py:attribute:: K_FSI :value: "K_FSI" diff --git a/docs/dbdataclasses/settingsv2.rst b/docs/dbdataclasses/settingsv2.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/sharing.rst b/docs/dbdataclasses/sharing.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/sql.rst b/docs/dbdataclasses/sql.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/supervisoragents.rst b/docs/dbdataclasses/supervisoragents.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/tags.rst b/docs/dbdataclasses/tags.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/vectorsearch.rst b/docs/dbdataclasses/vectorsearch.rst old mode 100755 new mode 100644 diff --git a/docs/dbdataclasses/workspace.rst b/docs/dbdataclasses/workspace.rst old mode 100755 new mode 100644 diff --git a/docs/gen-client-docs.py b/docs/gen-client-docs.py index 1015f8886..0bc95398b 100644 --- a/docs/gen-client-docs.py +++ b/docs/gen-client-docs.py @@ -18,6 +18,13 @@ __dir__ = os.path.dirname(__file__) __examples__ = Path(f'{__dir__}/../examples').absolute() +# Root the generated .rst is written under. Defaults to this docs/ directory so +# the in-place `make docs` / update-sdk `post_generate` flow is unchanged; the +# Bazel docs-generation rule sets DATABRICKS_DOCS_OUTPUT_DIR to a writable output +# directory (Bazel action outputs can't be written into the read-only source +# tree). Only output paths use __out__; inputs (examples, the _openapi_sha +# fallback) still read from __dir__. +__out__ = os.environ.get('DATABRICKS_DOCS_OUTPUT_DIR', __dir__) @dataclass @@ -357,7 +364,7 @@ def _make_folder_if_not_exists(folder): os.makedirs(folder) def write_dataclass_docs(self): - self._make_folder_if_not_exists(f'{__dir__}/dbdataclasses') + self._make_folder_if_not_exists(f'{__out__}/dbdataclasses') all_packages = [] for pkg in self.packages: try: @@ -368,10 +375,10 @@ def write_dataclass_docs(self): all_packages.append(pkg.name) all_members = [name for name, _ in inspect.getmembers(module, predicate=self._should_document)] doc = DataclassesDoc(package=pkg, dataclasses=sorted(all_members)) - with open(f'{__dir__}/dbdataclasses/{pkg.name}.rst', 'w') as f: + with open(f'{__out__}/dbdataclasses/{pkg.name}.rst', 'w') as f: f.write(doc.as_rst()) all = "\n ".join(sorted(all_packages)) - with open(f'{__dir__}/dbdataclasses/index.rst', 'w') as f: + with open(f'{__out__}/dbdataclasses/index.rst', 'w') as f: f.write(f''' Dataclasses =========== @@ -400,8 +407,8 @@ def load_client(self, client, folder, label, description): client_services.append(svc.service_name) package = svc.tag.package.name package_to_services[package].append((svc.service_name, svc.client_prefix + "." + svc.service_name)) - self._make_folder_if_not_exists(f'{__dir__}/{folder}/{package}') - with open(f'{__dir__}/{folder}/{package}/{svc.service_name}.rst', 'w') as f: + self._make_folder_if_not_exists(f'{__out__}/{folder}/{package}') + with open(f'{__out__}/{folder}/{package}/{svc.service_name}.rst', 'w') as f: f.write(svc.as_rst()) ordered_packages = [] for pkg in self.packages: @@ -416,8 +423,8 @@ def load_client(self, client, folder, label, description): def _write_client_packages(self, folder: str, label: str, description: str, packages: list[str]): """Writes out the top-level index for the APIs supported by a client.""" - self._make_folder_if_not_exists(f'{__dir__}/{folder}') - with open(f'{__dir__}/{folder}/index.rst', 'w') as f: + self._make_folder_if_not_exists(f'{__out__}/{folder}') + with open(f'{__out__}/{folder}/index.rst', 'w') as f: all = "\n ".join([f'{name}/index' for name in sorted(packages)]) f.write(f''' {label} @@ -432,8 +439,8 @@ def _write_client_packages(self, folder: str, label: str, description: str, pack def _write_client_package_doc(self, folder: str, pkg: Package, services: list[str]): """Writes out the index for a single package supported by a client.""" - self._make_folder_if_not_exists(f'{__dir__}/{folder}/{pkg.name}') - with open(f'{__dir__}/{folder}/{pkg.name}/index.rst', 'w') as f: + self._make_folder_if_not_exists(f'{__out__}/{folder}/{pkg.name}') + with open(f'{__out__}/{folder}/{pkg.name}/index.rst', 'w') as f: all = "\n ".join(services) f.write(f''' {pkg.label} diff --git a/docs/packages.py b/docs/packages.py old mode 100755 new mode 100644 diff --git a/docs/workspace/aibuilder/ai_builder.rst b/docs/workspace/aibuilder/ai_builder.rst deleted file mode 100644 index e20356914..000000000 --- a/docs/workspace/aibuilder/ai_builder.rst +++ /dev/null @@ -1,92 +0,0 @@ -``w.ai_builder``: AI Builder Service -==================================== -.. currentmodule:: databricks.sdk.service.aibuilder - -.. py:class:: AiBuilderAPI - - The Custom LLMs service manages state and powers the UI for the Custom LLM product. - - .. py:method:: cancel_optimize(id: str) - - Cancel a Custom LLM Optimization Run. - - :param id: str - - - - - .. py:method:: create_custom_llm(name: str, instructions: str [, agent_artifact_path: Optional[str], datasets: Optional[List[Dataset]], guidelines: Optional[List[str]]]) -> CustomLlm - - Create a Custom LLM. - - :param name: str - Name of the custom LLM. Only alphanumeric characters and dashes allowed. - :param instructions: str - Instructions for the custom LLM to follow - :param agent_artifact_path: str (optional) - Optional: UC path for agent artifacts. If you are using a dataset that you only have read - permissions, please provide a destination path where you have write permissions. Please provide this - in catalog.schema format. - :param datasets: List[:class:`Dataset`] (optional) - Datasets used for training and evaluating the model, not for inference. Currently, only 1 dataset is - accepted. - :param guidelines: List[str] (optional) - Guidelines for the custom LLM to adhere to - - :returns: :class:`CustomLlm` - - - .. py:method:: delete_custom_llm(id: str) - - Delete a Custom LLM. - - :param id: str - The id of the custom llm - - - - - .. py:method:: get_custom_llm(id: str) -> CustomLlm - - Get a Custom LLM. - - :param id: str - The id of the custom llm - - :returns: :class:`CustomLlm` - - - .. py:method:: start_optimize(id: str) -> CustomLlm - - Start a Custom LLM Optimization Run. - - :param id: str - The Id of the tile. - - :returns: :class:`CustomLlm` - - - .. py:method:: update_custom_llm(id: str, custom_llm: CustomLlm, update_mask: str) -> CustomLlm - - Update a Custom LLM. - - :param id: str - The id of the custom llm - :param custom_llm: :class:`CustomLlm` - The CustomLlm containing the fields which should be updated. - :param update_mask: str - The list of the CustomLlm fields to update. These should correspond to the values (or lack thereof) - present in `custom_llm`. - - The field mask must be a single string, with multiple fields separated by commas (no spaces). The - field path is relative to the resource object, using a dot (`.`) to navigate sub-fields (e.g., - `author.given_name`). Specification of elements in sequence or map fields is not allowed, as only - the entire collection field can be specified. Field names must exactly match the resource field - names. - - A field mask of `*` indicates full replacement. It’s recommended to always explicitly list the - fields being updated and avoid using `*` wildcards, as it can lead to unintended results if the API - changes in the future. - - :returns: :class:`CustomLlm` - \ No newline at end of file diff --git a/docs/workspace/aibuilder/custom_llms.rst b/docs/workspace/aibuilder/custom_llms.rst deleted file mode 100644 index 4f7035869..000000000 --- a/docs/workspace/aibuilder/custom_llms.rst +++ /dev/null @@ -1,61 +0,0 @@ -``w.custom_llms``: Custom LLMs Service -====================================== -.. currentmodule:: databricks.sdk.service.aibuilder - -.. py:class:: CustomLlmsAPI - - The Custom LLMs service manages state and powers the UI for the Custom LLM product. - - .. py:method:: cancel(id: str) - - Cancel a Custom LLM Optimization Run. - - :param id: str - - - - - .. py:method:: create(id: str) -> CustomLlm - - Start a Custom LLM Optimization Run. - - :param id: str - The Id of the tile. - - :returns: :class:`CustomLlm` - - - .. py:method:: get(id: str) -> CustomLlm - - Get a Custom LLM. - - :param id: str - The id of the custom llm - - :returns: :class:`CustomLlm` - - - .. py:method:: update(id: str, custom_llm: CustomLlm, update_mask: str) -> CustomLlm - - Update a Custom LLM. - - :param id: str - The id of the custom llm - :param custom_llm: :class:`CustomLlm` - The CustomLlm containing the fields which should be updated. - :param update_mask: str - The list of the CustomLlm fields to update. These should correspond to the values (or lack thereof) - present in `custom_llm`. - - The field mask must be a single string, with multiple fields separated by commas (no spaces). The - field path is relative to the resource object, using a dot (`.`) to navigate sub-fields (e.g., - `author.given_name`). Specification of elements in sequence or map fields is not allowed, as only - the entire collection field can be specified. Field names must exactly match the resource field - names. - - A field mask of `*` indicates full replacement. It’s recommended to always explicitly list the - fields being updated and avoid using `*` wildcards, as it can lead to unintended results if the API - changes in the future. - - :returns: :class:`CustomLlm` - \ No newline at end of file diff --git a/docs/workspace/aibuilder/index.rst b/docs/workspace/aibuilder/index.rst deleted file mode 100644 index f9685354a..000000000 --- a/docs/workspace/aibuilder/index.rst +++ /dev/null @@ -1,10 +0,0 @@ - -AI Builder -========== - -Create and manage AI Builder resources. - -.. toctree:: - :maxdepth: 1 - - ai_builder \ No newline at end of file diff --git a/docs/workspace/bundle/bundle.rst b/docs/workspace/bundle/bundle.rst deleted file mode 100755 index 7e34cc1e9..000000000 --- a/docs/workspace/bundle/bundle.rst +++ /dev/null @@ -1,219 +0,0 @@ -``w.bundle``: Bundle.v1 -======================= -.. currentmodule:: databricks.sdk.service.bundle - -.. py:class:: BundleAPI - - Service for managing bundle deployment metadata. - - .. py:method:: complete_version(name: str, completion_reason: VersionComplete [, force: Optional[bool]]) -> Version - - Marks a version as complete and releases the deployment lock. - - The server atomically: 1. Sets the version status to the provided terminal status. 2. Sets - `complete_time` to the current server timestamp. 3. Releases the lock on the parent deployment. 4. - Updates the parent deployment's `status` and `last_version_id`. - - :param name: str - The name of the version to complete. Format: deployments/{deployment_id}/versions/{version_id} - :param completion_reason: :class:`VersionComplete` - The reason for completing the version. Must be a terminal reason: VERSION_COMPLETE_SUCCESS, - VERSION_COMPLETE_FAILURE, or VERSION_COMPLETE_FORCE_ABORT. - :param force: bool (optional) - If true, force-completes the version even if the caller is not the original creator. The - completion_reason must be VERSION_COMPLETE_FORCE_ABORT when force is true. - - :returns: :class:`Version` - - - .. py:method:: create_deployment(deployment: Deployment, deployment_id: str) -> Deployment - - Creates a new deployment in the workspace. - - The caller must provide a `deployment_id` which becomes the final component of the deployment's - resource name. If a deployment with the same ID already exists, the server returns `ALREADY_EXISTS`. - - :param deployment: :class:`Deployment` - The deployment to create. - :param deployment_id: str - The ID to use for the deployment, which will become the final component of the deployment's resource - name (i.e. `deployments/{deployment_id}`). - - :returns: :class:`Deployment` - - - .. py:method:: create_operation(parent: str, operation: Operation, resource_key: str) -> Operation - - Creates a resource operation under a version. - - The caller must provide a `resource_key` which becomes the final component of the operation's name. If - an operation with the same key already exists under the version, the server returns `ALREADY_EXISTS`. - - On success the server also updates the corresponding deployment-level Resource (creating it if this is - the first operation for that resource_key, or removing it if action_type is DELETE). - - :param parent: str - The parent version where this operation will be recorded. Format: - deployments/{deployment_id}/versions/{version_id} - :param operation: :class:`Operation` - The resource operation to create. - :param resource_key: str - The key identifying the resource this operation applies to. Becomes the final component of the - operation's name. - - :returns: :class:`Operation` - - - .. py:method:: create_version(parent: str, version: Version, version_id: str) -> Version - - Creates a new version under a deployment. - - Creating a version acquires an exclusive lock on the deployment, preventing concurrent deploys. The - caller provides a `version_id` which the server validates equals `last_version_id + 1` on the - deployment. - - :param parent: str - The parent deployment where this version will be created. Format: deployments/{deployment_id} - :param version: :class:`Version` - The version to create. - :param version_id: str - The version ID the caller expects to create. The server validates this equals `last_version_id + 1` - on the deployment. If it doesn't match, the server returns `ABORTED`. - - :returns: :class:`Version` - - - .. py:method:: delete_deployment(name: str) - - Deletes a deployment. - - The deployment is marked as deleted. It and all its children (versions and their operations) will be - permanently deleted after the retention policy expires. If the deployment has an in-progress version, - the server returns `RESOURCE_CONFLICT`. - - :param name: str - Resource name of the deployment to delete. Format: deployments/{deployment_id} - - - - - .. py:method:: get_deployment(name: str) -> Deployment - - Retrieves a deployment by its resource name. - - :param name: str - Resource name of the deployment to retrieve. Format: deployments/{deployment_id} - - :returns: :class:`Deployment` - - - .. py:method:: get_operation(name: str) -> Operation - - Retrieves a resource operation by its resource name. - - :param name: str - The name of the resource operation to retrieve. Format: - deployments/{deployment_id}/versions/{version_id}/operations/{resource_key} - - :returns: :class:`Operation` - - - .. py:method:: get_resource(name: str) -> Resource - - Retrieves a deployment resource by its resource name. - - :param name: str - The name of the resource to retrieve. Format: deployments/{deployment_id}/resources/{resource_key} - - :returns: :class:`Resource` - - - .. py:method:: get_version(name: str) -> Version - - Retrieves a version by its resource name. - - :param name: str - The name of the version to retrieve. Format: deployments/{deployment_id}/versions/{version_id} - - :returns: :class:`Version` - - - .. py:method:: heartbeat(name: str) -> HeartbeatResponse - - Sends a heartbeat to renew the lock held by a version. - - The server validates that the version is the active (non-terminal) version on the parent deployment - and resets the lock expiry. If the lock has already expired or the version is no longer active, the - server returns `ABORTED`. - - :param name: str - The version whose lock to renew. Format: deployments/{deployment_id}/versions/{version_id} - - :returns: :class:`HeartbeatResponse` - - - .. py:method:: list_deployments( [, page_size: Optional[int], page_token: Optional[str]]) -> Iterator[Deployment] - - Lists deployments in the workspace. - - :param page_size: int (optional) - The maximum number of deployments to return. The service may return fewer than this value. If - unspecified, at most 50 deployments will be returned. The maximum value is 1000; values above 1000 - will be coerced to 1000. - :param page_token: str (optional) - A page token, received from a previous `ListDeployments` call. Provide this to retrieve the - subsequent page. - - :returns: Iterator over :class:`Deployment` - - - .. py:method:: list_operations(parent: str [, page_size: Optional[int], page_token: Optional[str]]) -> Iterator[Operation] - - Lists resource operations under a version. - - :param parent: str - The parent version. Format: deployments/{deployment_id}/versions/{version_id} - :param page_size: int (optional) - The maximum number of operations to return. The service may return fewer than this value. If - unspecified, at most 50 operations will be returned. The maximum value is 1000; values above 1000 - will be coerced to 1000. - :param page_token: str (optional) - A page token, received from a previous `ListOperations` call. Provide this to retrieve the - subsequent page. - - :returns: Iterator over :class:`Operation` - - - .. py:method:: list_resources(parent: str [, page_size: Optional[int], page_token: Optional[str]]) -> Iterator[Resource] - - Lists resources under a deployment. - - :param parent: str - The parent deployment. Format: deployments/{deployment_id} - :param page_size: int (optional) - The maximum number of resources to return. The service may return fewer than this value. If - unspecified, at most 50 resources will be returned. The maximum value is 1000; values above 1000 - will be coerced to 1000. - :param page_token: str (optional) - A page token, received from a previous `ListResources` call. Provide this to retrieve the subsequent - page. - - :returns: Iterator over :class:`Resource` - - - .. py:method:: list_versions(parent: str [, page_size: Optional[int], page_token: Optional[str]]) -> Iterator[Version] - - Lists versions under a deployment, ordered by version_id descending (most recent first). - - :param parent: str - The parent deployment. Format: deployments/{deployment_id} - :param page_size: int (optional) - The maximum number of versions to return. The service may return fewer than this value. If - unspecified, at most 50 versions will be returned. The maximum value is 1000; values above 1000 will - be coerced to 1000. - :param page_token: str (optional) - A page token, received from a previous `ListVersions` call. Provide this to retrieve the subsequent - page. - - :returns: Iterator over :class:`Version` - \ No newline at end of file diff --git a/docs/workspace/bundle/index.rst b/docs/workspace/bundle/index.rst deleted file mode 100755 index a4237b671..000000000 --- a/docs/workspace/bundle/index.rst +++ /dev/null @@ -1,10 +0,0 @@ - -Bundle -====== - -Service for managing bundle deployment metadata. - -.. toctree:: - :maxdepth: 1 - - bundle \ No newline at end of file diff --git a/docs/workspace/bundledeployments/bundle_deployments.rst b/docs/workspace/bundledeployments/bundle_deployments.rst index dbe34d24b..79818904c 100644 --- a/docs/workspace/bundledeployments/bundle_deployments.rst +++ b/docs/workspace/bundledeployments/bundle_deployments.rst @@ -37,7 +37,8 @@ resource name. If a deployment with the same ID already exists, the server returns ``ALREADY_EXISTS``. :param deployment: :class:`Deployment` - The deployment to create. + The deployment to create. Caller must set ``initial_parent_path``; every other field is populated by + the service. :param deployment_id: str The ID to use for the deployment, which will become the final component of the deployment's resource name (i.e. ``deployments/{deployment_id}``). diff --git a/docs/workspace/catalog/catalogs.rst b/docs/workspace/catalog/catalogs.rst old mode 100755 new mode 100644 index 7e84721d0..7b246cf11 --- a/docs/workspace/catalog/catalogs.rst +++ b/docs/workspace/catalog/catalogs.rst @@ -24,10 +24,10 @@ w = WorkspaceClient() - created = w.catalogs.create(name=f"sdk-{time.time_ns()}") + new_catalog = w.catalogs.create(name=f"sdk-{time.time_ns()}") # cleanup - w.catalogs.delete(name=created.name, force=True) + w.catalogs.delete(name=new_catalog.name, force=True) Creates a new catalog instance in the parent metastore if the caller is a metastore admin or has the **CREATE_CATALOG** privilege. @@ -162,12 +162,13 @@ import time from databricks.sdk import WorkspaceClient + from databricks.sdk.service import catalog w = WorkspaceClient() created = w.catalogs.create(name=f"sdk-{time.time_ns()}") - _ = w.catalogs.update(name=created.name, comment="updated") + _ = w.catalogs.update(name=created.name, isolation_mode=catalog.CatalogIsolationMode.ISOLATED) # cleanup w.catalogs.delete(name=created.name, force=True) diff --git a/docs/workspace/catalog/connections.rst b/docs/workspace/catalog/connections.rst index c117177d8..710e222bb 100644 --- a/docs/workspace/catalog/connections.rst +++ b/docs/workspace/catalog/connections.rst @@ -12,7 +12,7 @@ on cloud storage. You can create different types of connections, and each connection has a unique set of configuration options to support credential management and other settings. - .. py:method:: create(name: str, connection_type: ConnectionType, options: Dict[str, str] [, comment: Optional[str], environment_settings: Optional[EnvironmentSettings], properties: Optional[Dict[str, str]], read_only: Optional[bool]]) -> ConnectionInfo + .. py:method:: create(name: str, connection_type: ConnectionType, options: Dict[str, str] [, comment: Optional[str], environment_settings: Optional[EnvironmentSettings], parent: Optional[str], properties: Optional[Dict[str, str]], read_only: Optional[bool]]) -> ConnectionInfo Usage: @@ -55,6 +55,9 @@ User-provided free-form text description. :param environment_settings: :class:`EnvironmentSettings` (optional) [Create,Update:OPT] Connection environment settings as EnvironmentSettings object. + :param parent: str (optional) + Parent schema for schema-level connections, in format "schemas/{catalog}.{schema}". Absent for + metastore-level (L1) connections. :param properties: Dict[str,str] (optional) A map of key-value properties attached to the securable. :param read_only: bool (optional) @@ -120,7 +123,7 @@ :returns: :class:`ConnectionInfo` - .. py:method:: list( [, max_results: Optional[int], page_token: Optional[str]]) -> Iterator[ConnectionInfo] + .. py:method:: list( [, max_results: Optional[int], page_token: Optional[str], parent: Optional[str]]) -> Iterator[ConnectionInfo] Usage: @@ -153,6 +156,9 @@ - when set to a value less than 0, an invalid parameter error is returned; :param page_token: str (optional) Opaque pagination token to go to next page based on previous query. + :param parent: str (optional) + Optional. Parent schema filter for listing schema-level connections, in format + "schemas/{catalog}.{schema}". :returns: Iterator over :class:`ConnectionInfo` diff --git a/docs/workspace/catalog/database_instances.rst b/docs/workspace/catalog/database_instances.rst deleted file mode 100644 index 6c0dbf70e..000000000 --- a/docs/workspace/catalog/database_instances.rst +++ /dev/null @@ -1,136 +0,0 @@ -``w.database_instances``: Database Instances -============================================ -.. currentmodule:: databricks.sdk.service.catalog - -.. py:class:: DatabaseInstancesAPI - - Database Instances provide access to a database via REST API or direct SQL. - - .. py:method:: create_database_catalog(catalog: DatabaseCatalog) -> DatabaseCatalog - - Create a Database Catalog. - - :param catalog: :class:`DatabaseCatalog` - - :returns: :class:`DatabaseCatalog` - - - .. py:method:: create_database_instance(database_instance: DatabaseInstance) -> DatabaseInstance - - Create a Database Instance. - - :param database_instance: :class:`DatabaseInstance` - A DatabaseInstance represents a logical Postgres instance, comprised of both compute and storage. - - :returns: :class:`DatabaseInstance` - - - .. py:method:: create_synced_database_table(synced_table: SyncedDatabaseTable) -> SyncedDatabaseTable - - Create a Synced Database Table. - - :param synced_table: :class:`SyncedDatabaseTable` - Next field marker: 10 - - :returns: :class:`SyncedDatabaseTable` - - - .. py:method:: delete_database_catalog(name: str) - - Delete a Database Catalog. - - :param name: str - - - - - .. py:method:: delete_database_instance(name: str [, force: Optional[bool], purge: Optional[bool]]) - - Delete a Database Instance. - - :param name: str - Name of the instance to delete. - :param force: bool (optional) - By default, a instance cannot be deleted if it has descendant instances created via PITR. If this - flag is specified as true, all descendent instances will be deleted as well. - :param purge: bool (optional) - If false, the database instance is soft deleted. Soft deleted instances behave as if they are - deleted, and cannot be used for CRUD operations nor connected to. However they can be undeleted by - calling the undelete API for a limited time. If true, the database instance is hard deleted and - cannot be undeleted. - - - - - .. py:method:: delete_synced_database_table(name: str) - - Delete a Synced Database Table. - - :param name: str - - - - - .. py:method:: find_database_instance_by_uid( [, uid: Optional[str]]) -> DatabaseInstance - - Find a Database Instance by uid. - - :param uid: str (optional) - UID of the cluster to get. - - :returns: :class:`DatabaseInstance` - - - .. py:method:: get_database_catalog(name: str) -> DatabaseCatalog - - Get a Database Catalog. - - :param name: str - - :returns: :class:`DatabaseCatalog` - - - .. py:method:: get_database_instance(name: str) -> DatabaseInstance - - Get a Database Instance. - - :param name: str - Name of the cluster to get. - - :returns: :class:`DatabaseInstance` - - - .. py:method:: get_synced_database_table(name: str) -> SyncedDatabaseTable - - Get a Synced Database Table. - - :param name: str - - :returns: :class:`SyncedDatabaseTable` - - - .. py:method:: list_database_instances( [, page_size: Optional[int], page_token: Optional[str]]) -> Iterator[DatabaseInstance] - - List Database Instances. - - :param page_size: int (optional) - Upper bound for items returned. - :param page_token: str (optional) - Pagination token to go to the next page of Database Instances. Requests first page if absent. - - :returns: Iterator over :class:`DatabaseInstance` - - - .. py:method:: update_database_instance(name: str, database_instance: DatabaseInstance, update_mask: str) -> DatabaseInstance - - Update a Database Instance. - - :param name: str - The name of the instance. This is the unique identifier for the instance. - :param database_instance: :class:`DatabaseInstance` - A DatabaseInstance represents a logical Postgres instance, comprised of both compute and storage. - :param update_mask: str - The list of fields to update. - - :returns: :class:`DatabaseInstance` - \ No newline at end of file diff --git a/docs/workspace/catalog/endpoints.rst b/docs/workspace/catalog/endpoints.rst deleted file mode 100644 index 8c6efba40..000000000 --- a/docs/workspace/catalog/endpoints.rst +++ /dev/null @@ -1,35 +0,0 @@ -``w.endpoints``: Online Endpoints -================================= -.. currentmodule:: databricks.sdk.service.catalog - -.. py:class:: EndpointsAPI - - Endpoints are used to connect to PG clusters. - - .. py:method:: create( [, endpoint: Optional[Endpoint]]) -> Endpoint - - Create an Endpoint. - - :param endpoint: :class:`Endpoint` (optional) - Endpoint - - :returns: :class:`Endpoint` - - - .. py:method:: delete(name: str) - - Delete an Endpoint. - - :param name: str - - - - - .. py:method:: get(name: str) -> Endpoint - - Get an Endpoint. - - :param name: str - - :returns: :class:`Endpoint` - \ No newline at end of file diff --git a/docs/workspace/catalog/external_locations.rst b/docs/workspace/catalog/external_locations.rst old mode 100755 new mode 100644 index d7957c8a8..9dc0b8ace --- a/docs/workspace/catalog/external_locations.rst +++ b/docs/workspace/catalog/external_locations.rst @@ -115,20 +115,20 @@ credential = w.storage_credentials.create( name=f"sdk-{time.time_ns()}", - aws_iam_role=catalog.AwsIamRoleRequest(role_arn=os.environ["TEST_METASTORE_DATA_ACCESS_ARN"]), + aws_iam_role=catalog.AwsIamRole(role_arn=os.environ["TEST_METASTORE_DATA_ACCESS_ARN"]), ) created = w.external_locations.create( name=f"sdk-{time.time_ns()}", credential_name=credential.name, - url="s3://%s/%s" % (os.environ["TEST_BUCKET"], f"sdk-{time.time_ns()}"), + url=f's3://{os.environ["TEST_BUCKET"]}/sdk-{time.time_ns()}', ) - _ = w.external_locations.get(name=created.name) + _ = w.external_locations.get(get=created.name) # cleanup - w.storage_credentials.delete(name=credential.name) - w.external_locations.delete(name=created.name) + w.storage_credentials.delete(delete=credential.name) + w.external_locations.delete(delete=created.name) Gets an external location from the metastore. The caller must be either a metastore admin, the owner of the external location, or a user that has some privilege on the external location. diff --git a/docs/workspace/catalog/index.rst b/docs/workspace/catalog/index.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/catalog/lakehouse_monitors.rst b/docs/workspace/catalog/lakehouse_monitors.rst deleted file mode 100644 index 75f861d85..000000000 --- a/docs/workspace/catalog/lakehouse_monitors.rst +++ /dev/null @@ -1,233 +0,0 @@ -``w.lakehouse_monitors``: Lakehouse Monitors -============================================ -.. currentmodule:: databricks.sdk.service.catalog - -.. py:class:: LakehouseMonitorsAPI - - A monitor computes and monitors data or model quality metrics for a table over time. It generates metrics - tables and a dashboard that you can use to monitor table health and set alerts. - - Most write operations require the user to be the owner of the table (or its parent schema or parent - catalog). Viewing the dashboard, computed metrics, or monitor configuration only requires the user to have - **SELECT** privileges on the table (along with **USE_SCHEMA** and **USE_CATALOG**). - - .. py:method:: cancel_refresh(table_name: str, refresh_id: str) - - Cancel refresh. - - Cancel an active monitor refresh for the given refresh ID. - - The caller must either: 1. be an owner of the table's parent catalog 2. have **USE_CATALOG** on the - table's parent catalog and be an owner of the table's parent schema 3. have the following permissions: - - **USE_CATALOG** on the table's parent catalog - **USE_SCHEMA** on the table's parent schema - be an - owner of the table - - Additionally, the call must be made from the workspace where the monitor was created. - - :param table_name: str - Full name of the table. - :param refresh_id: str - ID of the refresh. - - - - - .. py:method:: create(table_name: str, assets_dir: str, output_schema_name: str [, baseline_table_name: Optional[str], custom_metrics: Optional[List[MonitorMetric]], data_classification_config: Optional[MonitorDataClassificationConfig], inference_log: Optional[MonitorInferenceLog], notifications: Optional[MonitorNotifications], schedule: Optional[MonitorCronSchedule], skip_builtin_dashboard: Optional[bool], slicing_exprs: Optional[List[str]], snapshot: Optional[MonitorSnapshot], time_series: Optional[MonitorTimeSeries], warehouse_id: Optional[str]]) -> MonitorInfo - - Create a table monitor. - - Creates a new monitor for the specified table. - - The caller must either: 1. be an owner of the table's parent catalog, have **USE_SCHEMA** on the - table's parent schema, and have **SELECT** access on the table 2. have **USE_CATALOG** on the table's - parent catalog, be an owner of the table's parent schema, and have **SELECT** access on the table. 3. - have the following permissions: - **USE_CATALOG** on the table's parent catalog - **USE_SCHEMA** on - the table's parent schema - be an owner of the table. - - Workspace assets, such as the dashboard, will be created in the workspace where this call was made. - - :param table_name: str - Full name of the table. - :param assets_dir: str - The directory to store monitoring assets (e.g. dashboard, metric tables). - :param output_schema_name: str - Schema where output metric tables are created. - :param baseline_table_name: str (optional) - Name of the baseline table from which drift metrics are computed from. Columns in the monitored - table should also be present in the baseline table. - :param custom_metrics: List[:class:`MonitorMetric`] (optional) - Custom metrics to compute on the monitored table. These can be aggregate metrics, derived metrics - (from already computed aggregate metrics), or drift metrics (comparing metrics across time windows). - :param data_classification_config: :class:`MonitorDataClassificationConfig` (optional) - The data classification config for the monitor. - :param inference_log: :class:`MonitorInferenceLog` (optional) - Configuration for monitoring inference logs. - :param notifications: :class:`MonitorNotifications` (optional) - The notification settings for the monitor. - :param schedule: :class:`MonitorCronSchedule` (optional) - The schedule for automatically updating and refreshing metric tables. - :param skip_builtin_dashboard: bool (optional) - Whether to skip creating a default dashboard summarizing data quality metrics. - :param slicing_exprs: List[str] (optional) - List of column expressions to slice data with for targeted analysis. The data is grouped by each - expression independently, resulting in a separate slice for each predicate and its complements. For - high-cardinality columns, only the top 100 unique values by frequency will generate slices. - :param snapshot: :class:`MonitorSnapshot` (optional) - Configuration for monitoring snapshot tables. - :param time_series: :class:`MonitorTimeSeries` (optional) - Configuration for monitoring time series tables. - :param warehouse_id: str (optional) - Optional argument to specify the warehouse for dashboard creation. If not specified, the first - running warehouse will be used. - - :returns: :class:`MonitorInfo` - - - .. py:method:: delete(table_name: str) - - Delete a table monitor. - - Deletes a monitor for the specified table. - - The caller must either: 1. be an owner of the table's parent catalog 2. have **USE_CATALOG** on the - table's parent catalog and be an owner of the table's parent schema 3. have the following permissions: - - **USE_CATALOG** on the table's parent catalog - **USE_SCHEMA** on the table's parent schema - be an - owner of the table. - - Additionally, the call must be made from the workspace where the monitor was created. - - Note that the metric tables and dashboard will not be deleted as part of this call; those assets must - be manually cleaned up (if desired). - - :param table_name: str - Full name of the table. - - - - - .. py:method:: get(table_name: str) -> MonitorInfo - - Get a table monitor. - - Gets a monitor for the specified table. - - The caller must either: 1. be an owner of the table's parent catalog 2. have **USE_CATALOG** on the - table's parent catalog and be an owner of the table's parent schema. 3. have the following - permissions: - **USE_CATALOG** on the table's parent catalog - **USE_SCHEMA** on the table's parent - schema - **SELECT** privilege on the table. - - The returned information includes configuration values, as well as information on assets created by - the monitor. Some information (e.g., dashboard) may be filtered out if the caller is in a different - workspace than where the monitor was created. - - :param table_name: str - Full name of the table. - - :returns: :class:`MonitorInfo` - - - .. py:method:: get_refresh(table_name: str, refresh_id: str) -> MonitorRefreshInfo - - Get refresh. - - Gets info about a specific monitor refresh using the given refresh ID. - - The caller must either: 1. be an owner of the table's parent catalog 2. have **USE_CATALOG** on the - table's parent catalog and be an owner of the table's parent schema 3. have the following permissions: - - **USE_CATALOG** on the table's parent catalog - **USE_SCHEMA** on the table's parent schema - - **SELECT** privilege on the table. - - Additionally, the call must be made from the workspace where the monitor was created. - - :param table_name: str - Full name of the table. - :param refresh_id: str - ID of the refresh. - - :returns: :class:`MonitorRefreshInfo` - - - .. py:method:: list_refreshes(table_name: str) -> Iterator[MonitorRefreshInfo] - - List refreshes. - - Gets an array containing the history of the most recent refreshes (up to 25) for this table. - - The caller must either: 1. be an owner of the table's parent catalog 2. have **USE_CATALOG** on the - table's parent catalog and be an owner of the table's parent schema 3. have the following permissions: - - **USE_CATALOG** on the table's parent catalog - **USE_SCHEMA** on the table's parent schema - - **SELECT** privilege on the table. - - Additionally, the call must be made from the workspace where the monitor was created. - - :param table_name: str - Full name of the table. - - :returns: Iterator over :class:`MonitorRefreshInfo` - - - .. py:method:: run_refresh(table_name: str) -> MonitorRefreshInfo - - Queue a metric refresh for a monitor. - - Queues a metric refresh on the monitor for the specified table. The refresh will execute in the - background. - - The caller must either: 1. be an owner of the table's parent catalog 2. have **USE_CATALOG** on the - table's parent catalog and be an owner of the table's parent schema 3. have the following permissions: - - **USE_CATALOG** on the table's parent catalog - **USE_SCHEMA** on the table's parent schema - be an - owner of the table - - Additionally, the call must be made from the workspace where the monitor was created. - - :param table_name: str - Full name of the table. - - :returns: :class:`MonitorRefreshInfo` - - - .. py:method:: update(table_name: str, output_schema_name: str [, baseline_table_name: Optional[str], custom_metrics: Optional[List[MonitorMetric]], data_classification_config: Optional[MonitorDataClassificationConfig], inference_log: Optional[MonitorInferenceLog], notifications: Optional[MonitorNotifications], schedule: Optional[MonitorCronSchedule], slicing_exprs: Optional[List[str]], snapshot: Optional[MonitorSnapshot], time_series: Optional[MonitorTimeSeries]]) -> MonitorInfo - - Update a table monitor. - - Updates a monitor for the specified table. - - The caller must either: 1. be an owner of the table's parent catalog 2. have **USE_CATALOG** on the - table's parent catalog and be an owner of the table's parent schema 3. have the following permissions: - - **USE_CATALOG** on the table's parent catalog - **USE_SCHEMA** on the table's parent schema - be an - owner of the table. - - Additionally, the call must be made from the workspace where the monitor was created, and the caller - must be the original creator of the monitor. - - Certain configuration fields, such as output asset identifiers, cannot be updated. - - :param table_name: str - Full name of the table. - :param output_schema_name: str - Schema where output metric tables are created. - :param baseline_table_name: str (optional) - Name of the baseline table from which drift metrics are computed from. Columns in the monitored - table should also be present in the baseline table. - :param custom_metrics: List[:class:`MonitorMetric`] (optional) - Custom metrics to compute on the monitored table. These can be aggregate metrics, derived metrics - (from already computed aggregate metrics), or drift metrics (comparing metrics across time windows). - :param data_classification_config: :class:`MonitorDataClassificationConfig` (optional) - The data classification config for the monitor. - :param inference_log: :class:`MonitorInferenceLog` (optional) - Configuration for monitoring inference logs. - :param notifications: :class:`MonitorNotifications` (optional) - The notification settings for the monitor. - :param schedule: :class:`MonitorCronSchedule` (optional) - The schedule for automatically updating and refreshing metric tables. - :param slicing_exprs: List[str] (optional) - List of column expressions to slice data with for targeted analysis. The data is grouped by each - expression independently, resulting in a separate slice for each predicate and its complements. For - high-cardinality columns, only the top 100 unique values by frequency will generate slices. - :param snapshot: :class:`MonitorSnapshot` (optional) - Configuration for monitoring snapshot tables. - :param time_series: :class:`MonitorTimeSeries` (optional) - Configuration for monitoring time series tables. - - :returns: :class:`MonitorInfo` - \ No newline at end of file diff --git a/docs/workspace/catalog/quality_monitors.rst b/docs/workspace/catalog/quality_monitors.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/catalog/resource_quotas.rst b/docs/workspace/catalog/resource_quotas.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/catalog/rfa.rst b/docs/workspace/catalog/rfa.rst index 45966ed2a..07d8d21b0 100644 --- a/docs/workspace/catalog/rfa.rst +++ b/docs/workspace/catalog/rfa.rst @@ -48,11 +48,9 @@ Updates the access request destinations for the given securable. The caller must be a metastore admin, the owner of the securable, or a user that has the **MANAGE** privilege on the securable in order to - assign destinations. Destinations cannot be updated for securables underneath schemas (tables, - volumes, functions, and models). For these securable types, destinations are inherited from the parent - securable. A maximum of 5 emails and 5 external notification destinations (Slack, Microsoft Teams, and - Generic Webhook destinations) can be assigned to a securable. If a URL destination is assigned, no - other destinations can be set. + assign destinations. A maximum of 5 emails and 5 external notification destinations (Slack, Microsoft + Teams, and Generic Webhook destinations) can be assigned to a securable. If a URL destination is + assigned, no other destinations can be set. The supported securable types are: "metastore", "catalog", "schema", "table", "external_location", "connection", "credential", "function", "registered_model", and "volume". diff --git a/docs/workspace/catalog/schemas.rst b/docs/workspace/catalog/schemas.rst old mode 100755 new mode 100644 index 90f1f6554..a70b3c472 --- a/docs/workspace/catalog/schemas.rst +++ b/docs/workspace/catalog/schemas.rst @@ -22,13 +22,13 @@ w = WorkspaceClient() - created_catalog = w.catalogs.create(name=f"sdk-{time.time_ns()}") + new_catalog = w.catalogs.create(name=f"sdk-{time.time_ns()}") - created_schema = w.schemas.create(name=f"sdk-{time.time_ns()}", catalog_name=created_catalog.name) + created = w.schemas.create(name=f"sdk-{time.time_ns()}", catalog_name=new_catalog.name) # cleanup - w.catalogs.delete(name=created_catalog.name, force=True) - w.schemas.delete(full_name=created_schema.full_name) + w.catalogs.delete(name=new_catalog.name, force=True) + w.schemas.delete(full_name=created.full_name) Creates a new schema for catalog in the Metastore. The caller must be a metastore admin, or have the **CREATE_SCHEMA** privilege in the parent catalog. diff --git a/docs/workspace/catalog/secrets_uc.rst b/docs/workspace/catalog/secrets_uc.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/catalog/storage_credentials.rst b/docs/workspace/catalog/storage_credentials.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/catalog/tables.rst b/docs/workspace/catalog/tables.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/catalog/temporary_path_credentials.rst b/docs/workspace/catalog/temporary_path_credentials.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/catalog/temporary_table_credentials.rst b/docs/workspace/catalog/temporary_table_credentials.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/catalog/temporary_volume_credentials.rst b/docs/workspace/catalog/temporary_volume_credentials.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/cleanrooms/clean_room_assets.rst b/docs/workspace/cleanrooms/clean_room_assets.rst index 64524b1e2..ccceb2ea7 100644 --- a/docs/workspace/cleanrooms/clean_room_assets.rst +++ b/docs/workspace/cleanrooms/clean_room_assets.rst @@ -22,7 +22,7 @@ :returns: :class:`CleanRoomAsset` - .. py:method:: create_clean_room_asset_review(clean_room_name: str, asset_type: CleanRoomAssetAssetType, name: str [, notebook_review: Optional[NotebookVersionReview]]) -> CreateCleanRoomAssetReviewResponse + .. py:method:: create_clean_room_asset_review(clean_room_name: str, asset_type: CleanRoomAssetAssetType, name: str [, jar_analysis_review: Optional[JarAnalysisVersionReview], notebook_review: Optional[NotebookVersionReview]]) -> CreateCleanRoomAssetReviewResponse Submit an asset review @@ -32,6 +32,7 @@ Asset type. Can either be NOTEBOOK_FILE or JAR_ANALYSIS. :param name: str Name of the asset + :param jar_analysis_review: :class:`JarAnalysisVersionReview` (optional) :param notebook_review: :class:`NotebookVersionReview` (optional) :returns: :class:`CreateCleanRoomAssetReviewResponse` diff --git a/docs/workspace/cleanrooms/clean_room_task_runs.rst b/docs/workspace/cleanrooms/clean_room_task_runs.rst index 716008d83..47af6e8f5 100644 --- a/docs/workspace/cleanrooms/clean_room_task_runs.rst +++ b/docs/workspace/cleanrooms/clean_room_task_runs.rst @@ -4,7 +4,7 @@ .. py:class:: CleanRoomTaskRunsAPI - Clean room task runs are the executions of notebooks in a clean room. + Clean room task runs are the executions of notebooks and JAR analyses in a clean room. .. py:method:: list(clean_room_name: str [, notebook_name: Optional[str], page_size: Optional[int], page_token: Optional[str]]) -> Iterator[CleanRoomNotebookTaskRun] @@ -20,4 +20,22 @@ Opaque pagination token to go to next page based on previous query. :returns: Iterator over :class:`CleanRoomNotebookTaskRun` + + + .. py:method:: list_clean_room_task_runs_handler(clean_room_name: str [, name: Optional[str], page_size: Optional[int], page_token: Optional[str], task_type: Optional[CleanRoomTaskType]]) -> Iterator[CleanRoomTaskRun] + + List all the historical task runs in a clean room. + + :param clean_room_name: str + Name of the clean room. + :param name: str (optional) + Executable name. + :param page_size: int (optional) + The maximum number of task runs to return. Maximum value of 100. + :param page_token: str (optional) + Opaque pagination token to go to next page based on previous query. + :param task_type: :class:`CleanRoomTaskType` (optional) + Filter by the type of Clean Room task. + + :returns: Iterator over :class:`CleanRoomTaskRun` \ No newline at end of file diff --git a/docs/workspace/compute/instance_pools.rst b/docs/workspace/compute/instance_pools.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/compute/instance_profiles.rst b/docs/workspace/compute/instance_profiles.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/compute/policy_compliance_for_clusters.rst b/docs/workspace/compute/policy_compliance_for_clusters.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/dashboards/genie.rst b/docs/workspace/dashboards/genie.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/dashboards/lakeview.rst b/docs/workspace/dashboards/lakeview.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/dashboards/query_execution.rst b/docs/workspace/dashboards/query_execution.rst deleted file mode 100644 index f57d874ac..000000000 --- a/docs/workspace/dashboards/query_execution.rst +++ /dev/null @@ -1,46 +0,0 @@ -``w.query_execution``: Query Execution -====================================== -.. currentmodule:: databricks.sdk.service.dashboards - -.. py:class:: QueryExecutionAPI - - Query execution APIs for AI / BI Dashboards - - .. py:method:: cancel_published_query_execution(dashboard_name: str, dashboard_revision_id: str [, tokens: Optional[List[str]]]) -> CancelQueryExecutionResponse - - Cancel the results for the a query for a published, embedded dashboard. - - :param dashboard_name: str - :param dashboard_revision_id: str - :param tokens: List[str] (optional) - Example: EC0A..ChAB7WCEn_4Qo4vkLqEbXsxxEgh3Y2pbWw45WhoQXgZSQo9aS5q2ZvFcbvbx9CgA-PAEAQ - - :returns: :class:`CancelQueryExecutionResponse` - - - .. py:method:: execute_published_dashboard_query(dashboard_name: str, dashboard_revision_id: str [, override_warehouse_id: Optional[str]]) - - Execute a query for a published dashboard. - - :param dashboard_name: str - Dashboard name and revision_id is required to retrieve PublishedDatasetDataModel which contains the - list of datasets, warehouse_id, and embedded_credentials - :param dashboard_revision_id: str - :param override_warehouse_id: str (optional) - A dashboard schedule can override the warehouse used as compute for processing the published - dashboard queries - - - - - .. py:method:: poll_published_query_status(dashboard_name: str, dashboard_revision_id: str [, tokens: Optional[List[str]]]) -> PollQueryStatusResponse - - Poll the results for the a query for a published, embedded dashboard. - - :param dashboard_name: str - :param dashboard_revision_id: str - :param tokens: List[str] (optional) - Example: EC0A..ChAB7WCEn_4Qo4vkLqEbXsxxEgh3Y2pbWw45WhoQXgZSQo9aS5q2ZvFcbvbx9CgA-PAEAQ - - :returns: :class:`PollQueryStatusResponse` - \ No newline at end of file diff --git a/docs/workspace/database/database.rst b/docs/workspace/database/database.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/dataclassification/data_classification.rst b/docs/workspace/dataclassification/data_classification.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/dataclassification/index.rst b/docs/workspace/dataclassification/index.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/environments/environments.rst b/docs/workspace/environments/environments.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/environments/index.rst b/docs/workspace/environments/index.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/files/files.rst b/docs/workspace/files/files.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/iam/current_user.rst b/docs/workspace/iam/current_user.rst old mode 100755 new mode 100644 index 0918d992e..1429199cc --- a/docs/workspace/iam/current_user.rst +++ b/docs/workspace/iam/current_user.rst @@ -17,7 +17,7 @@ w = WorkspaceClient() - me = w.current_user.me() + me2 = w.current_user.me() Get details about the current method caller's identity. diff --git a/docs/workspace/iam/groups.rst b/docs/workspace/iam/groups.rst deleted file mode 100644 index 737939095..000000000 --- a/docs/workspace/iam/groups.rst +++ /dev/null @@ -1,212 +0,0 @@ -``w.groups``: Groups -==================== -.. currentmodule:: databricks.sdk.service.iam - -.. py:class:: GroupsAPI - - Groups simplify identity management, making it easier to assign access to Databricks workspace, data, and - other securable objects. - - It is best practice to assign access to workspaces and access-control policies in Unity Catalog to groups, - instead of to users individually. All Databricks workspace identities can be assigned as members of - groups, and members inherit permissions that are assigned to their group. - - .. py:method:: create( [, display_name: Optional[str], entitlements: Optional[List[ComplexValue]], external_id: Optional[str], groups: Optional[List[ComplexValue]], id: Optional[str], members: Optional[List[ComplexValue]], meta: Optional[ResourceMeta], roles: Optional[List[ComplexValue]], schemas: Optional[List[GroupSchema]]]) -> Group - - - Usage: - - .. code-block:: - - import time - - from databricks.sdk import WorkspaceClient - - w = WorkspaceClient() - - group = w.groups.create(display_name=f"sdk-{time.time_ns()}") - - # cleanup - w.groups.delete(id=group.id) - - Creates a group in the Databricks workspace with a unique name, using the supplied group details. - - :param display_name: str (optional) - String that represents a human-readable group name - :param entitlements: List[:class:`ComplexValue`] (optional) - Entitlements assigned to the group. See [assigning entitlements] for a full list of supported - values. - - [assigning entitlements]: https://docs.databricks.com/administration-guide/users-groups/index.html#assigning-entitlements - :param external_id: str (optional) - :param groups: List[:class:`ComplexValue`] (optional) - :param id: str (optional) - Databricks group ID - :param members: List[:class:`ComplexValue`] (optional) - :param meta: :class:`ResourceMeta` (optional) - Container for the group identifier. Workspace local versus account. - :param roles: List[:class:`ComplexValue`] (optional) - Corresponds to AWS instance profile/arn role. - :param schemas: List[:class:`GroupSchema`] (optional) - The schema of the group. - - :returns: :class:`Group` - - - .. py:method:: delete(id: str) - - - Usage: - - .. code-block:: - - import time - - from databricks.sdk import WorkspaceClient - - w = WorkspaceClient() - - group = w.groups.create(display_name=f"sdk-{time.time_ns()}") - - w.groups.delete(id=group.id) - - Deletes a group from the Databricks workspace. - - :param id: str - Unique ID for a group in the Databricks workspace. - - - - - .. py:method:: get(id: str) -> Group - - - Usage: - - .. code-block:: - - import time - - from databricks.sdk import WorkspaceClient - - w = WorkspaceClient() - - group = w.groups.create(display_name=f"sdk-{time.time_ns()}") - - fetch = w.groups.get(id=group.id) - - # cleanup - w.groups.delete(id=group.id) - - Gets the information for a specific group in the Databricks workspace. - - :param id: str - Unique ID for a group in the Databricks workspace. - - :returns: :class:`Group` - - - .. py:method:: list( [, attributes: Optional[str], count: Optional[int], excluded_attributes: Optional[str], filter: Optional[str], sort_by: Optional[str], sort_order: Optional[ListSortOrder], start_index: Optional[int]]) -> Iterator[Group] - - Gets all details of the groups associated with the Databricks workspace. - - :param attributes: str (optional) - Comma-separated list of attributes to return in response. - :param count: int (optional) - Desired number of results per page. - :param excluded_attributes: str (optional) - Comma-separated list of attributes to exclude in response. - :param filter: str (optional) - Query by which the results have to be filtered. Supported operators are equals(`eq`), - contains(`co`), starts with(`sw`) and not equals(`ne`). Additionally, simple expressions can be - formed using logical operators - `and` and `or`. The [SCIM RFC] has more details but we currently - only support simple expressions. - - [SCIM RFC]: https://tools.ietf.org/html/rfc7644#section-3.4.2.2 - :param sort_by: str (optional) - Attribute to sort the results. - :param sort_order: :class:`ListSortOrder` (optional) - The order to sort the results. - :param start_index: int (optional) - Specifies the index of the first result. First item is number 1. - - :returns: Iterator over :class:`Group` - - - .. py:method:: patch(id: str [, operations: Optional[List[Patch]], schemas: Optional[List[PatchSchema]]]) - - - Usage: - - .. code-block:: - - import time - - from databricks.sdk import WorkspaceClient - from databricks.sdk.service import iam - - w = WorkspaceClient() - - group = w.groups.create(display_name=f"sdk-{time.time_ns()}-group") - user = w.users.create( - display_name=f"sdk-{time.time_ns()}-user", - user_name=f"sdk-{time.time_ns()}@example.com", - ) - - w.groups.patch( - id=group.id, - operations=[ - iam.Patch( - op=iam.PatchOp.ADD, - value={ - "members": [ - { - "value": user.id, - } - ] - }, - ) - ], - schemas=[iam.PatchSchema.URN_IETF_PARAMS_SCIM_API_MESSAGES_2_0_PATCH_OP], - ) - - # cleanup - w.users.delete(id=user.id) - w.groups.delete(id=group.id) - - Partially updates the details of a group. - - :param id: str - Unique ID in the Databricks workspace. - :param operations: List[:class:`Patch`] (optional) - :param schemas: List[:class:`PatchSchema`] (optional) - The schema of the patch request. Must be ["urn:ietf:params:scim:api:messages:2.0:PatchOp"]. - - - - - .. py:method:: update(id: str [, display_name: Optional[str], entitlements: Optional[List[ComplexValue]], external_id: Optional[str], groups: Optional[List[ComplexValue]], members: Optional[List[ComplexValue]], meta: Optional[ResourceMeta], roles: Optional[List[ComplexValue]], schemas: Optional[List[GroupSchema]]]) - - Updates the details of a group by replacing the entire group entity. - - :param id: str - Databricks group ID - :param display_name: str (optional) - String that represents a human-readable group name - :param entitlements: List[:class:`ComplexValue`] (optional) - Entitlements assigned to the group. See [assigning entitlements] for a full list of supported - values. - - [assigning entitlements]: https://docs.databricks.com/administration-guide/users-groups/index.html#assigning-entitlements - :param external_id: str (optional) - :param groups: List[:class:`ComplexValue`] (optional) - :param members: List[:class:`ComplexValue`] (optional) - :param meta: :class:`ResourceMeta` (optional) - Container for the group identifier. Workspace local versus account. - :param roles: List[:class:`ComplexValue`] (optional) - Corresponds to AWS instance profile/arn role. - :param schemas: List[:class:`GroupSchema`] (optional) - The schema of the group. - - - \ No newline at end of file diff --git a/docs/workspace/iam/permissions.rst b/docs/workspace/iam/permissions.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/iam/service_principals.rst b/docs/workspace/iam/service_principals.rst deleted file mode 100644 index ce8978afb..000000000 --- a/docs/workspace/iam/service_principals.rst +++ /dev/null @@ -1,227 +0,0 @@ -``w.service_principals``: Service Principals -============================================ -.. currentmodule:: databricks.sdk.service.iam - -.. py:class:: ServicePrincipalsAPI - - Identities for use with jobs, automated tools, and systems such as scripts, apps, and CI/CD platforms. - Databricks recommends creating service principals to run production jobs or modify production data. If all - processes that act on production data run with service principals, interactive users do not need any - write, delete, or modify privileges in production. This eliminates the risk of a user overwriting - production data by accident. - - .. py:method:: create( [, active: Optional[bool], application_id: Optional[str], display_name: Optional[str], entitlements: Optional[List[ComplexValue]], external_id: Optional[str], groups: Optional[List[ComplexValue]], id: Optional[str], roles: Optional[List[ComplexValue]], schemas: Optional[List[ServicePrincipalSchema]]]) -> ServicePrincipal - - - Usage: - - .. code-block:: - - import time - - from databricks.sdk import WorkspaceClient - from databricks.sdk.service import iam - - w = WorkspaceClient() - - groups = w.groups.group_display_name_to_id_map(iam.ListGroupsRequest()) - - spn = w.service_principals.create( - display_name=f"sdk-{time.time_ns()}", - groups=[iam.ComplexValue(value=groups["admins"])], - ) - - # cleanup - w.service_principals.delete(id=spn.id) - - Creates a new service principal in the Databricks workspace. - - :param active: bool (optional) - If this user is active - :param application_id: str (optional) - UUID relating to the service principal - :param display_name: str (optional) - String that represents a concatenation of given and family names. - :param entitlements: List[:class:`ComplexValue`] (optional) - Entitlements assigned to the service principal. See [assigning entitlements] for a full list of - supported values. - - [assigning entitlements]: https://docs.databricks.com/administration-guide/users-groups/index.html#assigning-entitlements - :param external_id: str (optional) - :param groups: List[:class:`ComplexValue`] (optional) - :param id: str (optional) - Databricks service principal ID. - :param roles: List[:class:`ComplexValue`] (optional) - Corresponds to AWS instance profile/arn role. - :param schemas: List[:class:`ServicePrincipalSchema`] (optional) - The schema of the List response. - - :returns: :class:`ServicePrincipal` - - - .. py:method:: delete(id: str) - - Delete a single service principal in the Databricks workspace. - - :param id: str - Unique ID for a service principal in the Databricks workspace. - - - - - .. py:method:: get(id: str) -> ServicePrincipal - - - Usage: - - .. code-block:: - - import time - - from databricks.sdk import WorkspaceClient - - w = WorkspaceClient() - - created = w.service_principals.create(display_name=f"sdk-{time.time_ns()}") - - by_id = w.service_principals.get(id=created.id) - - # cleanup - w.service_principals.delete(id=created.id) - - Gets the details for a single service principal define in the Databricks workspace. - - :param id: str - Unique ID for a service principal in the Databricks workspace. - - :returns: :class:`ServicePrincipal` - - - .. py:method:: list( [, attributes: Optional[str], count: Optional[int], excluded_attributes: Optional[str], filter: Optional[str], sort_by: Optional[str], sort_order: Optional[ListSortOrder], start_index: Optional[int]]) -> Iterator[ServicePrincipal] - - - Usage: - - .. code-block:: - - from databricks.sdk import WorkspaceClient - from databricks.sdk.service import iam - - w = WorkspaceClient() - - all = w.service_principals.list(iam.ListServicePrincipalsRequest()) - - Gets the set of service principals associated with a Databricks workspace. - - :param attributes: str (optional) - Comma-separated list of attributes to return in response. - :param count: int (optional) - Desired number of results per page. - :param excluded_attributes: str (optional) - Comma-separated list of attributes to exclude in response. - :param filter: str (optional) - Query by which the results have to be filtered. Supported operators are equals(`eq`), - contains(`co`), starts with(`sw`) and not equals(`ne`). Additionally, simple expressions can be - formed using logical operators - `and` and `or`. The [SCIM RFC] has more details but we currently - only support simple expressions. - - [SCIM RFC]: https://tools.ietf.org/html/rfc7644#section-3.4.2.2 - :param sort_by: str (optional) - Attribute to sort the results. - :param sort_order: :class:`ListSortOrder` (optional) - The order to sort the results. - :param start_index: int (optional) - Specifies the index of the first result. First item is number 1. - - :returns: Iterator over :class:`ServicePrincipal` - - - .. py:method:: patch(id: str [, operations: Optional[List[Patch]], schemas: Optional[List[PatchSchema]]]) - - - Usage: - - .. code-block:: - - import time - - from databricks.sdk import WorkspaceClient - from databricks.sdk.service import iam - - w = WorkspaceClient() - - created = w.service_principals.create(display_name=f"sdk-{time.time_ns()}") - - by_id = w.service_principals.get(id=created.id) - - w.service_principals.patch( - id=by_id.id, - operations=[iam.Patch(op=iam.PatchOp.REPLACE, path="active", value="false")], - schemas=[iam.PatchSchema.URN_IETF_PARAMS_SCIM_API_MESSAGES_2_0_PATCH_OP], - ) - - # cleanup - w.service_principals.delete(id=created.id) - - Partially updates the details of a single service principal in the Databricks workspace. - - :param id: str - Unique ID in the Databricks workspace. - :param operations: List[:class:`Patch`] (optional) - :param schemas: List[:class:`PatchSchema`] (optional) - The schema of the patch request. Must be ["urn:ietf:params:scim:api:messages:2.0:PatchOp"]. - - - - - .. py:method:: update(id: str [, active: Optional[bool], application_id: Optional[str], display_name: Optional[str], entitlements: Optional[List[ComplexValue]], external_id: Optional[str], groups: Optional[List[ComplexValue]], roles: Optional[List[ComplexValue]], schemas: Optional[List[ServicePrincipalSchema]]]) - - - Usage: - - .. code-block:: - - import time - - from databricks.sdk import WorkspaceClient - from databricks.sdk.service import iam - - w = WorkspaceClient() - - created = w.service_principals.create(display_name=f"sdk-{time.time_ns()}") - - w.service_principals.update( - id=created.id, - display_name=f"sdk-{time.time_ns()}", - roles=[iam.ComplexValue(value="xyz")], - ) - - # cleanup - w.service_principals.delete(id=created.id) - - Updates the details of a single service principal. - - This action replaces the existing service principal with the same name. - - :param id: str - Databricks service principal ID. - :param active: bool (optional) - If this user is active - :param application_id: str (optional) - UUID relating to the service principal - :param display_name: str (optional) - String that represents a concatenation of given and family names. - :param entitlements: List[:class:`ComplexValue`] (optional) - Entitlements assigned to the service principal. See [assigning entitlements] for a full list of - supported values. - - [assigning entitlements]: https://docs.databricks.com/administration-guide/users-groups/index.html#assigning-entitlements - :param external_id: str (optional) - :param groups: List[:class:`ComplexValue`] (optional) - :param roles: List[:class:`ComplexValue`] (optional) - Corresponds to AWS instance profile/arn role. - :param schemas: List[:class:`ServicePrincipalSchema`] (optional) - The schema of the List response. - - - \ No newline at end of file diff --git a/docs/workspace/iam/users.rst b/docs/workspace/iam/users.rst deleted file mode 100644 index fbee85661..000000000 --- a/docs/workspace/iam/users.rst +++ /dev/null @@ -1,307 +0,0 @@ -``w.users``: Users -================== -.. currentmodule:: databricks.sdk.service.iam - -.. py:class:: UsersAPI - - User identities recognized by Databricks and represented by email addresses. - - Databricks recommends using SCIM provisioning to sync users and groups automatically from your identity - provider to your Databricks workspace. SCIM streamlines onboarding a new employee or team by using your - identity provider to create users and groups in Databricks workspace and give them the proper level of - access. When a user leaves your organization or no longer needs access to Databricks workspace, admins can - terminate the user in your identity provider and that user’s account will also be removed from - Databricks workspace. This ensures a consistent offboarding process and prevents unauthorized users from - accessing sensitive data. - - .. py:method:: create( [, active: Optional[bool], display_name: Optional[str], emails: Optional[List[ComplexValue]], entitlements: Optional[List[ComplexValue]], external_id: Optional[str], groups: Optional[List[ComplexValue]], id: Optional[str], name: Optional[Name], roles: Optional[List[ComplexValue]], schemas: Optional[List[UserSchema]], user_name: Optional[str]]) -> User - - - Usage: - - .. code-block:: - - import time - - from databricks.sdk import WorkspaceClient - - w = WorkspaceClient() - - user = w.users.create( - display_name=f"sdk-{time.time_ns()}", - user_name=f"sdk-{time.time_ns()}@example.com", - ) - - Creates a new user in the Databricks workspace. This new user will also be added to the Databricks - account. - - :param active: bool (optional) - If this user is active - :param display_name: str (optional) - String that represents a concatenation of given and family names. For example `John Smith`. This - field cannot be updated through the Workspace SCIM APIs when [identity federation is enabled]. Use - Account SCIM APIs to update `displayName`. - - [identity federation is enabled]: https://docs.databricks.com/administration-guide/users-groups/best-practices.html#enable-identity-federation - :param emails: List[:class:`ComplexValue`] (optional) - All the emails associated with the Databricks user. - :param entitlements: List[:class:`ComplexValue`] (optional) - Entitlements assigned to the user. See [assigning entitlements] for a full list of supported values. - - [assigning entitlements]: https://docs.databricks.com/administration-guide/users-groups/index.html#assigning-entitlements - :param external_id: str (optional) - External ID is not currently supported. It is reserved for future use. - :param groups: List[:class:`ComplexValue`] (optional) - :param id: str (optional) - Databricks user ID. - :param name: :class:`Name` (optional) - :param roles: List[:class:`ComplexValue`] (optional) - Corresponds to AWS instance profile/arn role. - :param schemas: List[:class:`UserSchema`] (optional) - The schema of the user. - :param user_name: str (optional) - Email address of the Databricks user. - - :returns: :class:`User` - - - .. py:method:: delete(id: str) - - - Usage: - - .. code-block:: - - import time - - from databricks.sdk import WorkspaceClient - - w = WorkspaceClient() - - other_owner = w.users.create(user_name=f"sdk-{time.time_ns()}@example.com") - - w.users.delete(id=other_owner.id) - - Deletes a user. Deleting a user from a Databricks workspace also removes objects associated with the - user. - - :param id: str - Unique ID for a user in the Databricks workspace. - - - - - .. py:method:: get(id: str [, attributes: Optional[str], count: Optional[int], excluded_attributes: Optional[str], filter: Optional[str], sort_by: Optional[str], sort_order: Optional[GetSortOrder], start_index: Optional[int]]) -> User - - - Usage: - - .. code-block:: - - import time - - from databricks.sdk import WorkspaceClient - - w = WorkspaceClient() - - user = w.users.create( - display_name=f"sdk-{time.time_ns()}", - user_name=f"sdk-{time.time_ns()}@example.com", - ) - - fetch = w.users.get(id=user.id) - - Gets information for a specific user in Databricks workspace. - - :param id: str - Unique ID for a user in the Databricks workspace. - :param attributes: str (optional) - Comma-separated list of attributes to return in response. - :param count: int (optional) - Desired number of results per page. - :param excluded_attributes: str (optional) - Comma-separated list of attributes to exclude in response. - :param filter: str (optional) - Query by which the results have to be filtered. Supported operators are equals(`eq`), - contains(`co`), starts with(`sw`) and not equals(`ne`). Additionally, simple expressions can be - formed using logical operators - `and` and `or`. The [SCIM RFC] has more details but we currently - only support simple expressions. - - [SCIM RFC]: https://tools.ietf.org/html/rfc7644#section-3.4.2.2 - :param sort_by: str (optional) - Attribute to sort the results. Multi-part paths are supported. For example, `userName`, - `name.givenName`, and `emails`. - :param sort_order: :class:`GetSortOrder` (optional) - The order to sort the results. - :param start_index: int (optional) - Specifies the index of the first result. First item is number 1. - - :returns: :class:`User` - - - .. py:method:: get_permission_levels() -> GetPasswordPermissionLevelsResponse - - Gets the permission levels that a user can have on an object. - - - :returns: :class:`GetPasswordPermissionLevelsResponse` - - - .. py:method:: get_permissions() -> PasswordPermissions - - Gets the permissions of all passwords. Passwords can inherit permissions from their root object. - - - :returns: :class:`PasswordPermissions` - - - .. py:method:: list( [, attributes: Optional[str], count: Optional[int], excluded_attributes: Optional[str], filter: Optional[str], sort_by: Optional[str], sort_order: Optional[ListSortOrder], start_index: Optional[int]]) -> Iterator[User] - - - Usage: - - .. code-block:: - - from databricks.sdk import WorkspaceClient - from databricks.sdk.service import iam - - w = WorkspaceClient() - - all_users = w.users.list( - attributes="id,userName", - sort_by="userName", - sort_order=iam.ListSortOrder.DESCENDING, - ) - - Gets details for all the users associated with a Databricks workspace. - - :param attributes: str (optional) - Comma-separated list of attributes to return in response. - :param count: int (optional) - Desired number of results per page. - :param excluded_attributes: str (optional) - Comma-separated list of attributes to exclude in response. - :param filter: str (optional) - Query by which the results have to be filtered. Supported operators are equals(`eq`), - contains(`co`), starts with(`sw`) and not equals(`ne`). Additionally, simple expressions can be - formed using logical operators - `and` and `or`. The [SCIM RFC] has more details but we currently - only support simple expressions. - - [SCIM RFC]: https://tools.ietf.org/html/rfc7644#section-3.4.2.2 - :param sort_by: str (optional) - Attribute to sort the results. Multi-part paths are supported. For example, `userName`, - `name.givenName`, and `emails`. - :param sort_order: :class:`ListSortOrder` (optional) - The order to sort the results. - :param start_index: int (optional) - Specifies the index of the first result. First item is number 1. - - :returns: Iterator over :class:`User` - - - .. py:method:: patch(id: str [, operations: Optional[List[Patch]], schemas: Optional[List[PatchSchema]]]) - - - Usage: - - .. code-block:: - - import time - - from databricks.sdk import WorkspaceClient - from databricks.sdk.service import iam - - w = WorkspaceClient() - - user = w.users.create( - display_name=f"sdk-{time.time_ns()}", - user_name=f"sdk-{time.time_ns()}@example.com", - ) - - w.users.patch( - id=user.id, - operations=[iam.Patch(op=iam.PatchOp.REPLACE, path="active", value="false")], - schemas=[iam.PatchSchema.URN_IETF_PARAMS_SCIM_API_MESSAGES_2_0_PATCH_OP], - ) - - Partially updates a user resource by applying the supplied operations on specific user attributes. - - :param id: str - Unique ID in the Databricks workspace. - :param operations: List[:class:`Patch`] (optional) - :param schemas: List[:class:`PatchSchema`] (optional) - The schema of the patch request. Must be ["urn:ietf:params:scim:api:messages:2.0:PatchOp"]. - - - - - .. py:method:: set_permissions( [, access_control_list: Optional[List[PasswordAccessControlRequest]]]) -> PasswordPermissions - - Sets permissions on an object, replacing existing permissions if they exist. Deletes all direct - permissions if none are specified. Objects can inherit permissions from their root object. - - :param access_control_list: List[:class:`PasswordAccessControlRequest`] (optional) - - :returns: :class:`PasswordPermissions` - - - .. py:method:: update(id: str [, active: Optional[bool], display_name: Optional[str], emails: Optional[List[ComplexValue]], entitlements: Optional[List[ComplexValue]], external_id: Optional[str], groups: Optional[List[ComplexValue]], name: Optional[Name], roles: Optional[List[ComplexValue]], schemas: Optional[List[UserSchema]], user_name: Optional[str]]) - - - Usage: - - .. code-block:: - - import time - - from databricks.sdk import WorkspaceClient - - w = WorkspaceClient() - - user = w.users.create( - display_name=f"sdk-{time.time_ns()}", - user_name=f"sdk-{time.time_ns()}@example.com", - ) - - w.users.update(id=user.id, user_name=user.user_name, active=True) - - Replaces a user's information with the data supplied in request. - - :param id: str - Databricks user ID. - :param active: bool (optional) - If this user is active - :param display_name: str (optional) - String that represents a concatenation of given and family names. For example `John Smith`. This - field cannot be updated through the Workspace SCIM APIs when [identity federation is enabled]. Use - Account SCIM APIs to update `displayName`. - - [identity federation is enabled]: https://docs.databricks.com/administration-guide/users-groups/best-practices.html#enable-identity-federation - :param emails: List[:class:`ComplexValue`] (optional) - All the emails associated with the Databricks user. - :param entitlements: List[:class:`ComplexValue`] (optional) - Entitlements assigned to the user. See [assigning entitlements] for a full list of supported values. - - [assigning entitlements]: https://docs.databricks.com/administration-guide/users-groups/index.html#assigning-entitlements - :param external_id: str (optional) - External ID is not currently supported. It is reserved for future use. - :param groups: List[:class:`ComplexValue`] (optional) - :param name: :class:`Name` (optional) - :param roles: List[:class:`ComplexValue`] (optional) - Corresponds to AWS instance profile/arn role. - :param schemas: List[:class:`UserSchema`] (optional) - The schema of the user. - :param user_name: str (optional) - Email address of the Databricks user. - - - - - .. py:method:: update_permissions( [, access_control_list: Optional[List[PasswordAccessControlRequest]]]) -> PasswordPermissions - - Updates the permissions on all passwords. Passwords can inherit permissions from their root object. - - :param access_control_list: List[:class:`PasswordAccessControlRequest`] (optional) - - :returns: :class:`PasswordPermissions` - \ No newline at end of file diff --git a/docs/workspace/iamv2/workspace_iam_v2.rst b/docs/workspace/iamv2/workspace_iam_v2.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/index.rst b/docs/workspace/index.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/jobs/jobs.rst b/docs/workspace/jobs/jobs.rst old mode 100755 new mode 100644 index 5dad4c7a1..adde8ae82 --- a/docs/workspace/jobs/jobs.rst +++ b/docs/workspace/jobs/jobs.rst @@ -361,21 +361,23 @@ w.clusters.ensure_cluster_is_running(os.environ["DATABRICKS_CLUSTER_ID"]) and os.environ["DATABRICKS_CLUSTER_ID"] ) - run = w.jobs.submit( - run_name=f"sdk-{time.time_ns()}", + created_job = w.jobs.create( + name=f"sdk-{time.time_ns()}", tasks=[ - jobs.SubmitTask( + jobs.Task( + description="test", existing_cluster_id=cluster_id, notebook_task=jobs.NotebookTask(notebook_path=notebook_path), - task_key=f"sdk-{time.time_ns()}", + task_key="test", + timeout_seconds=0, ) ], - ).result() + ) - output = w.jobs.get_run_output(run_id=run.tasks[0].run_id) + by_id = w.jobs.get(job_id=created_job.job_id) # cleanup - w.jobs.delete_run(run_id=run.run_id) + w.jobs.delete(job_id=created_job.job_id) Get a single job. @@ -524,37 +526,11 @@ .. code-block:: - import os - import time - from databricks.sdk import WorkspaceClient - from databricks.sdk.service import jobs w = WorkspaceClient() - notebook_path = f"/Users/{w.current_user.me().user_name}/sdk-{time.time_ns()}" - - cluster_id = ( - w.clusters.ensure_cluster_is_running(os.environ["DATABRICKS_CLUSTER_ID"]) and os.environ["DATABRICKS_CLUSTER_ID"] - ) - - created_job = w.jobs.create( - name=f"sdk-{time.time_ns()}", - tasks=[ - jobs.Task( - description="test", - existing_cluster_id=cluster_id, - notebook_task=jobs.NotebookTask(notebook_path=notebook_path), - task_key="test", - timeout_seconds=0, - ) - ], - ) - - run_list = w.jobs.list_runs(job_id=created_job.job_id) - - # cleanup - w.jobs.delete(job_id=created_job.job_id) + job_list = w.jobs.list(expand_tasks=False) List jobs. @@ -1039,7 +1015,7 @@ :returns: :class:`JobPermissions` - .. py:method:: submit( [, access_control_list: Optional[List[JobAccessControlRequest]], budget_policy_id: Optional[str], email_notifications: Optional[JobEmailNotifications], environments: Optional[List[JobEnvironment]], git_source: Optional[GitSource], health: Optional[JobsHealthRules], idempotency_token: Optional[str], notification_settings: Optional[JobNotificationSettings], queue: Optional[QueueSettings], run_as: Optional[JobRunAs], run_name: Optional[str], tasks: Optional[List[SubmitTask]], timeout_seconds: Optional[int], usage_policy_id: Optional[str], webhook_notifications: Optional[WebhookNotifications]]) -> Wait[Run] + .. py:method:: submit( [, access_control_list: Optional[List[JobAccessControlRequest]], budget_policy_id: Optional[str], email_notifications: Optional[JobEmailNotifications], environments: Optional[List[JobEnvironment]], git_source: Optional[GitSource], health: Optional[JobsHealthRules], idempotency_token: Optional[str], notification_settings: Optional[JobNotificationSettings], performance_target: Optional[PerformanceTarget], queue: Optional[QueueSettings], run_as: Optional[JobRunAs], run_name: Optional[str], tasks: Optional[List[SubmitTask]], timeout_seconds: Optional[int], usage_policy_id: Optional[str], webhook_notifications: Optional[WebhookNotifications]]) -> Wait[Run] Usage: @@ -1118,6 +1094,14 @@ :param notification_settings: :class:`JobNotificationSettings` (optional) Optional notification settings that are used when sending notifications to each of the ``email_notifications`` and ``webhook_notifications`` for this run. + :param performance_target: :class:`PerformanceTarget` (optional) + The performance mode on a serverless one-time run. This field determines the level of compute + performance or cost-efficiency for the run. The performance target does not apply to tasks that run + on Serverless GPU compute. + + - ``STANDARD``: Enables cost-efficient execution of serverless workloads. + - ``PERFORMANCE_OPTIMIZED``: Prioritizes fast startup and execution times through rapid scaling and + optimized cluster performance. :param queue: :class:`QueueSettings` (optional) The queue settings of the one-time run. :param run_as: :class:`JobRunAs` (optional) @@ -1139,7 +1123,7 @@ See :method:wait_get_run_job_terminated_or_skipped for more details. - .. py:method:: submit_and_wait( [, access_control_list: Optional[List[JobAccessControlRequest]], budget_policy_id: Optional[str], email_notifications: Optional[JobEmailNotifications], environments: Optional[List[JobEnvironment]], git_source: Optional[GitSource], health: Optional[JobsHealthRules], idempotency_token: Optional[str], notification_settings: Optional[JobNotificationSettings], queue: Optional[QueueSettings], run_as: Optional[JobRunAs], run_name: Optional[str], tasks: Optional[List[SubmitTask]], timeout_seconds: Optional[int], usage_policy_id: Optional[str], webhook_notifications: Optional[WebhookNotifications], timeout: datetime.timedelta = 0:20:00]) -> Run + .. py:method:: submit_and_wait( [, access_control_list: Optional[List[JobAccessControlRequest]], budget_policy_id: Optional[str], email_notifications: Optional[JobEmailNotifications], environments: Optional[List[JobEnvironment]], git_source: Optional[GitSource], health: Optional[JobsHealthRules], idempotency_token: Optional[str], notification_settings: Optional[JobNotificationSettings], performance_target: Optional[PerformanceTarget], queue: Optional[QueueSettings], run_as: Optional[JobRunAs], run_name: Optional[str], tasks: Optional[List[SubmitTask]], timeout_seconds: Optional[int], usage_policy_id: Optional[str], webhook_notifications: Optional[WebhookNotifications], timeout: datetime.timedelta = 0:20:00]) -> Run .. py:method:: update(job_id: int [, fields_to_remove: Optional[List[str]], new_settings: Optional[JobSettings]]) diff --git a/docs/workspace/knowledgeassistants/index.rst b/docs/workspace/knowledgeassistants/index.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/knowledgeassistants/knowledge_assistants.rst b/docs/workspace/knowledgeassistants/knowledge_assistants.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/marketplace/consumer_listings.rst b/docs/workspace/marketplace/consumer_listings.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/ml/experiments.rst b/docs/workspace/ml/experiments.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/ml/feature_engineering.rst b/docs/workspace/ml/feature_engineering.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/ml/model_registry.rst b/docs/workspace/ml/model_registry.rst old mode 100755 new mode 100644 index 8e13ecef7..06fa91f5a --- a/docs/workspace/ml/model_registry.rst +++ b/docs/workspace/ml/model_registry.rst @@ -87,9 +87,7 @@ w = WorkspaceClient() - model = w.model_registry.create_model(name=f"sdk-{time.time_ns()}") - - mv = w.model_registry.create_model_version(name=model.registered_model.name, source="dbfs:/tmp") + created = w.model_registry.create_model(name=f"sdk-{time.time_ns()}") Creates a new registered model with the name specified in the request body. Throws ``RESOURCE_ALREADY_EXISTS`` if a registered model with the given name exists. @@ -699,13 +697,14 @@ w = WorkspaceClient() - created = w.model_registry.create_model(name=f"sdk-{time.time_ns()}") + model = w.model_registry.create_model(name=f"sdk-{time.time_ns()}") - model = w.model_registry.get_model(name=created.registered_model.name) + created = w.model_registry.create_model_version(name=model.registered_model.name, source="dbfs:/tmp") - w.model_registry.update_model( - name=model.registered_model_databricks.name, + w.model_registry.update_model_version( description=f"sdk-{time.time_ns()}", + name=created.model_version.name, + version=created.model_version.version, ) Updates a registered model. diff --git a/docs/workspace/oauth2/service_principal_secrets_proxy.rst b/docs/workspace/oauth2/service_principal_secrets_proxy.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/pipelines/index.rst b/docs/workspace/pipelines/index.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/pipelines/pipelines.rst b/docs/workspace/pipelines/pipelines.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/postgres/postgres.rst b/docs/workspace/postgres/postgres.rst old mode 100755 new mode 100644 index ba82de1bb..02a55f39c --- a/docs/workspace/postgres/postgres.rst +++ b/docs/workspace/postgres/postgres.rst @@ -48,6 +48,25 @@ :returns: :class:`Operation` + .. py:method:: create_cdf_config(parent: str, cdf_config: CdfConfig [, cdf_config_id: Optional[str]]) -> CreateCdfConfigOperation + + Create a CDF configuration that materializes the change data feed for all tables in a Postgres schema + as open-format Delta tables in Unity Catalog. Once created, each table's change history is + continuously written to its corresponding Lakehouse table. + + :param parent: str + The parent database under which to create the CdfConfig. Format: + projects/{project}/branches/{branch}/databases/{database} + :param cdf_config: :class:`CdfConfig` + The CdfConfig to create. The catalog, schema, and postgres_schema fields are required; all other + fields are output only and ignored on input. + :param cdf_config_id: str (optional) + The user-specified id for the CdfConfig, forming the final segment of its resource name. Must match + the pattern ``[a-z][a-z0-9_]{0,62}``. Defaults to the Postgres schema name when omitted. + + :returns: :class:`Operation` + + .. py:method:: create_data_api(parent: str, data_api: DataApi) -> CreateDataApiOperation Enable Data API for a database. @@ -189,6 +208,22 @@ :returns: :class:`Operation` + .. py:method:: delete_cdf_config(name: str [, force: Optional[bool]]) -> DeleteCdfConfigOperation + + Delete a CDF configuration and stop materializing the change data feed. When force=true, also drops + the Delta tables in Unity Catalog. When force=false (default), the existing tables are preserved at + their last state. + + :param name: str + The resource name of the CdfConfig to delete. Format: + projects/{project}/branches/{branch}/databases/{database}/cdf-configs/{cdf_config} + :param force: bool (optional) + When true, also drops the replicated Delta tables in Unity Catalog. When false (the default), the + replicated tables are preserved at their last synced state. + + :returns: :class:`Operation` + + .. py:method:: delete_data_api(name: str) -> DeleteDataApiOperation Disable Data API for a database. @@ -301,6 +336,30 @@ :returns: :class:`Catalog` + .. py:method:: get_cdf_config(name: str) -> CdfConfig + + Get a single Lakebase CDF configuration, including the source Postgres schema, target Unity Catalog + schema, and the identity under which writes are authorized. + + :param name: str + The resource name of the CdfConfig to retrieve. Format: + projects/{project}/branches/{branch}/databases/{database}/cdf-configs/{cdf_config} + + :returns: :class:`CdfConfig` + + + .. py:method:: get_cdf_status(name: str) -> CdfStatus + + Get the CDF status of a single table within a Lakebase CDF configuration, including its current state + and the last committed position in the feed. + + :param name: str + The resource name of the CdfStatus to retrieve. Format: + projects/{project}/branches/{branch}/databases/{database}/cdf-configs/{cdf_config}/cdf-statuses/{cdf_status} + + :returns: :class:`CdfStatus` + + .. py:method:: get_data_api(name: str) -> DataApi Get Data API configuration for a database. @@ -394,6 +453,38 @@ :returns: Iterator over :class:`Branch` + .. py:method:: list_cdf_configs(parent: str [, page_size: Optional[int], page_token: Optional[str]]) -> Iterator[CdfConfig] + + List all CDF configurations for a Lakebase database. Each configuration maps a Postgres schema to a + Unity Catalog schema where the change data feed is materialized. + + :param parent: str + The parent database to list CdfConfigs for. Format: + projects/{project}/branches/{branch}/databases/{database} + :param page_size: int (optional) + Maximum number of CdfConfigs to return. + :param page_token: str (optional) + Pagination token returned by a previous ListCdfConfigs call. Empty on the first page. + + :returns: Iterator over :class:`CdfConfig` + + + .. py:method:: list_cdf_statuses(parent: str [, page_size: Optional[int], page_token: Optional[str]]) -> Iterator[CdfStatus] + + List the per-table CDF statuses within a Lakebase CDF configuration. Each status shows whether a + table's change data feed is snapshotting, streaming, or skipped. + + :param parent: str + The parent CdfConfig to list CdfStatuses for. Format: + projects/{project}/branches/{branch}/databases/{database}/cdf-configs/{cdf_config} + :param page_size: int (optional) + Maximum number of CdfStatuses to return. + :param page_token: str (optional) + Pagination token returned by a previous ListCdfStatuses call. Empty on the first page. + + :returns: Iterator over :class:`CdfStatus` + + .. py:method:: list_databases(parent: str [, page_size: Optional[int], page_token: Optional[str]]) -> Iterator[Database] List Databases. diff --git a/docs/workspace/provisioning/credentials.rst b/docs/workspace/provisioning/credentials.rst deleted file mode 100644 index 8f38d13c4..000000000 --- a/docs/workspace/provisioning/credentials.rst +++ /dev/null @@ -1,123 +0,0 @@ -``w.credentials``: Credential configurations -============================================ -.. currentmodule:: databricks.sdk.service.provisioning - -.. py:class:: CredentialsAPI - - These APIs manage credential configurations for this workspace. Databricks needs access to a cross-account - service IAM role in your AWS account so that Databricks can deploy clusters in the appropriate VPC for the - new workspace. A credential configuration encapsulates this role information, and its ID is used when - creating a new workspace. - - .. py:method:: create(credentials_name: str, aws_credentials: CreateCredentialAwsCredentials) -> Credential - - - Usage: - - .. code-block:: - - import os - import time - - from databricks.sdk import AccountClient - from databricks.sdk.service import provisioning - - a = AccountClient() - - role = a.credentials.create( - credentials_name=f'sdk-{time.time_ns()}', - aws_credentials=provisioning.CreateCredentialAwsCredentials(sts_role=provisioning.CreateCredentialStsRole( - role_arn=os.environ["TEST_CROSSACCOUNT_ARN"]))) - - # cleanup - a.credentials.delete(credentials_id=role.credentials_id) - - Create credential configuration. - - Creates a Databricks credential configuration that represents cloud cross-account credentials for a - specified account. Databricks uses this to set up network infrastructure properly to host Databricks - clusters. For your AWS IAM role, you need to trust the External ID (the Databricks Account API account - ID) in the returned credential object, and configure the required access policy. - - Save the response's `credentials_id` field, which is the ID for your new credential configuration - object. - - For information about how to create a new workspace with this API, see [Create a new workspace using - the Account API] - - [Create a new workspace using the Account API]: http://docs.databricks.com/administration-guide/account-api/new-workspace.html - - :param credentials_name: str - The human-readable name of the credential configuration object. - :param aws_credentials: :class:`CreateCredentialAwsCredentials` - - :returns: :class:`Credential` - - - .. py:method:: delete(credentials_id: str) - - Delete credential configuration. - - Deletes a Databricks credential configuration object for an account, both specified by ID. You cannot - delete a credential that is associated with any workspace. - - :param credentials_id: str - Databricks Account API credential configuration ID - - - - - .. py:method:: get(credentials_id: str) -> Credential - - - Usage: - - .. code-block:: - - import os - import time - - from databricks.sdk import AccountClient - from databricks.sdk.service import provisioning - - a = AccountClient() - - role = a.credentials.create( - credentials_name=f'sdk-{time.time_ns()}', - aws_credentials=provisioning.CreateCredentialAwsCredentials(sts_role=provisioning.CreateCredentialStsRole( - role_arn=os.environ["TEST_CROSSACCOUNT_ARN"]))) - - by_id = a.credentials.get(credentials_id=role.credentials_id) - - # cleanup - a.credentials.delete(credentials_id=role.credentials_id) - - Get credential configuration. - - Gets a Databricks credential configuration object for an account, both specified by ID. - - :param credentials_id: str - Databricks Account API credential configuration ID - - :returns: :class:`Credential` - - - .. py:method:: list() -> Iterator[Credential] - - - Usage: - - .. code-block:: - - from databricks.sdk import AccountClient - - a = AccountClient() - - configs = a.credentials.list() - - Get all credential configurations. - - Gets all Databricks credential configurations associated with an account specified by ID. - - :returns: Iterator over :class:`Credential` - \ No newline at end of file diff --git a/docs/workspace/provisioning/index.rst b/docs/workspace/provisioning/index.rst deleted file mode 100644 index efe541424..000000000 --- a/docs/workspace/provisioning/index.rst +++ /dev/null @@ -1,10 +0,0 @@ - -Provisioning -============ - -Resource management for secure Databricks Workspace deployment, cross-account IAM roles, storage, encryption, networking and private access. - -.. toctree:: - :maxdepth: 1 - - credentials \ No newline at end of file diff --git a/docs/workspace/qualitymonitorv2/quality_monitor_v2.rst b/docs/workspace/qualitymonitorv2/quality_monitor_v2.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/serving/apps.rst b/docs/workspace/serving/apps.rst deleted file mode 100644 index 21b5f3f01..000000000 --- a/docs/workspace/serving/apps.rst +++ /dev/null @@ -1,177 +0,0 @@ -``w.apps``: Apps -================ -.. currentmodule:: databricks.sdk.service.serving - -.. py:class:: AppsAPI - - Apps run directly on a customer’s Databricks instance, integrate with their data, use and extend - Databricks services, and enable users to interact through single sign-on. - - .. py:method:: create(name: str [, description: Optional[str]]) -> Wait[App] - - Create an app. - - Creates a new app. - - :param name: str - The name of the app. The name must contain only lowercase alphanumeric characters and hyphens. It - must be unique within the workspace. - :param description: str (optional) - The description of the app. - - :returns: - Long-running operation waiter for :class:`App`. - See :method:wait_get_app_idle for more details. - - - .. py:method:: create_and_wait(name: str [, description: Optional[str], timeout: datetime.timedelta = 0:20:00]) -> App - - - .. py:method:: delete(name: str) - - Delete an app. - - Deletes an app. - - :param name: str - The name of the app. - - - - - .. py:method:: deploy(app_name: str, source_code_path: str, mode: AppDeploymentMode) -> Wait[AppDeployment] - - Create an app deployment. - - Creates an app deployment for the app with the supplied name. - - :param app_name: str - The name of the app. - :param source_code_path: str - The workspace file system path of the source code used to create the app deployment. This is - different from `deployment_artifacts.source_code_path`, which is the path used by the deployed app. - The former refers to the original source code location of the app in the workspace during deployment - creation, whereas the latter provides a system generated stable snapshotted source code path used by - the deployment. - :param mode: :class:`AppDeploymentMode` - The mode of which the deployment will manage the source code. - - :returns: - Long-running operation waiter for :class:`AppDeployment`. - See :method:wait_get_deployment_app_succeeded for more details. - - - .. py:method:: deploy_and_wait(app_name: str, source_code_path: str, mode: AppDeploymentMode, timeout: datetime.timedelta = 0:20:00) -> AppDeployment - - - .. py:method:: get(name: str) -> App - - Get an app. - - Retrieves information for the app with the supplied name. - - :param name: str - The name of the app. - - :returns: :class:`App` - - - .. py:method:: get_deployment(app_name: str, deployment_id: str) -> AppDeployment - - Get an app deployment. - - Retrieves information for the app deployment with the supplied name and deployment id. - - :param app_name: str - The name of the app. - :param deployment_id: str - The unique id of the deployment. - - :returns: :class:`AppDeployment` - - - .. py:method:: get_environment(name: str) -> AppEnvironment - - Get app environment. - - Retrieves app environment. - - :param name: str - The name of the app. - - :returns: :class:`AppEnvironment` - - - .. py:method:: list( [, page_size: Optional[int], page_token: Optional[str]]) -> Iterator[App] - - List apps. - - Lists all apps in the workspace. - - :param page_size: int (optional) - Upper bound for items returned. - :param page_token: str (optional) - Pagination token to go to the next page of apps. Requests first page if absent. - - :returns: Iterator over :class:`App` - - - .. py:method:: list_deployments(app_name: str [, page_size: Optional[int], page_token: Optional[str]]) -> Iterator[AppDeployment] - - List app deployments. - - Lists all app deployments for the app with the supplied name. - - :param app_name: str - The name of the app. - :param page_size: int (optional) - Upper bound for items returned. - :param page_token: str (optional) - Pagination token to go to the next page of apps. Requests first page if absent. - - :returns: Iterator over :class:`AppDeployment` - - - .. py:method:: start(name: str) -> AppDeployment - - Start an app. - - Start the last active deployment of the app in the workspace. - - :param name: str - The name of the app. - - :returns: :class:`AppDeployment` - - - .. py:method:: stop(name: str) - - Stop an app. - - Stops the active deployment of the app in the workspace. - - :param name: str - The name of the app. - - - - - .. py:method:: update(name: str [, description: Optional[str]]) -> App - - Update an app. - - Updates the app with the supplied name. - - :param name: str - The name of the app. The name must contain only lowercase alphanumeric characters and hyphens. It - must be unique within the workspace. - :param description: str (optional) - The description of the app. - - :returns: :class:`App` - - - .. py:method:: wait_get_app_idle(name: str, timeout: datetime.timedelta = 0:20:00, callback: Optional[Callable[[App], None]]) -> App - - - .. py:method:: wait_get_deployment_app_succeeded(app_name: str, deployment_id: str, timeout: datetime.timedelta = 0:20:00, callback: Optional[Callable[[AppDeployment], None]]) -> AppDeployment diff --git a/docs/workspace/serving/serving_endpoints.rst b/docs/workspace/serving/serving_endpoints.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/settings/credentials_manager.rst b/docs/workspace/settings/credentials_manager.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/settings/csp_enablement.rst b/docs/workspace/settings/csp_enablement.rst deleted file mode 100644 index 694ea7d0d..000000000 --- a/docs/workspace/settings/csp_enablement.rst +++ /dev/null @@ -1,46 +0,0 @@ -``w.settings.csp_enablement``: Compliance Security Profile -========================================================== -.. currentmodule:: databricks.sdk.service.settings - -.. py:class:: CspEnablementAPI - - Controls whether to enable the compliance security profile for the current workspace. Enabling it on a - workspace is permanent. By default, it is turned off. - - This settings can NOT be disabled once it is enabled. - - .. py:method:: get( [, etag: Optional[str]]) -> CspEnablementSetting - - Get the compliance security profile setting. - - Gets the compliance security profile setting. - - :param etag: str (optional) - etag used for versioning. The response is at least as fresh as the eTag provided. This is used for - optimistic concurrency control as a way to help prevent simultaneous writes of a setting overwriting - each other. It is strongly suggested that systems make use of the etag in the read -> delete pattern - to perform setting deletions in order to avoid race conditions. That is, get an etag from a GET - request, and pass it with the DELETE request to identify the rule set version you are deleting. - - :returns: :class:`CspEnablementSetting` - - - .. py:method:: update(allow_missing: bool, setting: CspEnablementSetting, field_mask: str) -> CspEnablementSetting - - Update the compliance security profile setting. - - Updates the compliance security profile setting for the workspace. A fresh etag needs to be provided - in `PATCH` requests (as part of the setting field). The etag can be retrieved by making a `GET` - request before the `PATCH` request. If the setting is updated concurrently, `PATCH` fails with 409 and - the request must be retried by using the fresh etag in the 409 response. - - :param allow_missing: bool - This should always be set to true for Settings API. Added for AIP compliance. - :param setting: :class:`CspEnablementSetting` - :param field_mask: str - Field mask is required to be passed into the PATCH request. Field mask specifies which fields of the - setting payload will be updated. The field mask needs to be supplied as single string. To specify - multiple fields in the field mask, use comma as the separator (no space). - - :returns: :class:`CspEnablementSetting` - \ No newline at end of file diff --git a/docs/workspace/settings/esm_enablement.rst b/docs/workspace/settings/esm_enablement.rst deleted file mode 100644 index b4d9496e0..000000000 --- a/docs/workspace/settings/esm_enablement.rst +++ /dev/null @@ -1,48 +0,0 @@ -``w.settings.esm_enablement``: Enhanced Security Monitoring -=========================================================== -.. currentmodule:: databricks.sdk.service.settings - -.. py:class:: EsmEnablementAPI - - Controls whether enhanced security monitoring is enabled for the current workspace. If the compliance - security profile is enabled, this is automatically enabled. By default, it is disabled. However, if the - compliance security profile is enabled, this is automatically enabled. - - If the compliance security profile is disabled, you can enable or disable this setting and it is not - permanent. - - .. py:method:: get( [, etag: Optional[str]]) -> EsmEnablementSetting - - Get the enhanced security monitoring setting. - - Gets the enhanced security monitoring setting. - - :param etag: str (optional) - etag used for versioning. The response is at least as fresh as the eTag provided. This is used for - optimistic concurrency control as a way to help prevent simultaneous writes of a setting overwriting - each other. It is strongly suggested that systems make use of the etag in the read -> delete pattern - to perform setting deletions in order to avoid race conditions. That is, get an etag from a GET - request, and pass it with the DELETE request to identify the rule set version you are deleting. - - :returns: :class:`EsmEnablementSetting` - - - .. py:method:: update(allow_missing: bool, setting: EsmEnablementSetting, field_mask: str) -> EsmEnablementSetting - - Update the enhanced security monitoring setting. - - Updates the enhanced security monitoring setting for the workspace. A fresh etag needs to be provided - in `PATCH` requests (as part of the setting field). The etag can be retrieved by making a `GET` - request before the `PATCH` request. If the setting is updated concurrently, `PATCH` fails with 409 and - the request must be retried by using the fresh etag in the 409 response. - - :param allow_missing: bool - This should always be set to true for Settings API. Added for AIP compliance. - :param setting: :class:`EsmEnablementSetting` - :param field_mask: str - Field mask is required to be passed into the PATCH request. Field mask specifies which fields of the - setting payload will be updated. The field mask needs to be supplied as single string. To specify - multiple fields in the field mask, use comma as the separator (no space). - - :returns: :class:`EsmEnablementSetting` - \ No newline at end of file diff --git a/docs/workspace/settings/token_management.rst b/docs/workspace/settings/token_management.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/settings/tokens.rst b/docs/workspace/settings/tokens.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/sharing/clean_rooms.rst b/docs/workspace/sharing/clean_rooms.rst deleted file mode 100644 index 186b3b3dd..000000000 --- a/docs/workspace/sharing/clean_rooms.rst +++ /dev/null @@ -1,103 +0,0 @@ -``w.clean_rooms``: Clean Rooms -============================== -.. currentmodule:: databricks.sdk.service.sharing - -.. py:class:: CleanRoomsAPI - - A clean room is a secure, privacy-protecting environment where two or more parties can share sensitive - enterprise data, including customer data, for measurements, insights, activation and other use cases. - - To create clean rooms, you must be a metastore admin or a user with the **CREATE_CLEAN_ROOM** privilege. - - .. py:method:: create(name: str, remote_detailed_info: CentralCleanRoomInfo [, comment: Optional[str]]) -> CleanRoomInfo - - Create a clean room. - - Creates a new clean room with specified colaborators. The caller must be a metastore admin or have the - **CREATE_CLEAN_ROOM** privilege on the metastore. - - :param name: str - Name of the clean room. - :param remote_detailed_info: :class:`CentralCleanRoomInfo` - Central clean room details. - :param comment: str (optional) - User-provided free-form text description. - - :returns: :class:`CleanRoomInfo` - - - .. py:method:: delete(name: str) - - Delete a clean room. - - Deletes a data object clean room from the metastore. The caller must be an owner of the clean room. - - :param name: str - The name of the clean room. - - - - - .. py:method:: get(name: str [, include_remote_details: Optional[bool]]) -> CleanRoomInfo - - Get a clean room. - - Gets a data object clean room from the metastore. The caller must be a metastore admin or the owner of - the clean room. - - :param name: str - The name of the clean room. - :param include_remote_details: bool (optional) - Whether to include remote details (central) on the clean room. - - :returns: :class:`CleanRoomInfo` - - - .. py:method:: list( [, max_results: Optional[int], page_token: Optional[str]]) -> Iterator[CleanRoomInfo] - - List clean rooms. - - Gets an array of data object clean rooms from the metastore. The caller must be a metastore admin or - the owner of the clean room. There is no guarantee of a specific ordering of the elements in the - array. - - :param max_results: int (optional) - Maximum number of clean rooms to return. If not set, all the clean rooms are returned (not - recommended). - when set to a value greater than 0, the page length is the minimum of this value and - a server configured value; - when set to 0, the page length is set to a server configured value - (recommended); - when set to a value less than 0, an invalid parameter error is returned; - :param page_token: str (optional) - Opaque pagination token to go to next page based on previous query. - - :returns: Iterator over :class:`CleanRoomInfo` - - - .. py:method:: update(name: str [, catalog_updates: Optional[List[CleanRoomCatalogUpdate]], comment: Optional[str], owner: Optional[str]]) -> CleanRoomInfo - - Update a clean room. - - Updates the clean room with the changes and data objects in the request. The caller must be the owner - of the clean room or a metastore admin. - - When the caller is a metastore admin, only the __owner__ field can be updated. - - In the case that the clean room name is changed **updateCleanRoom** requires that the caller is both - the clean room owner and a metastore admin. - - For each table that is added through this method, the clean room owner must also have **SELECT** - privilege on the table. The privilege must be maintained indefinitely for recipients to be able to - access the table. Typically, you should use a group as the clean room owner. - - Table removals through **update** do not require additional privileges. - - :param name: str - The name of the clean room. - :param catalog_updates: List[:class:`CleanRoomCatalogUpdate`] (optional) - Array of shared data object updates. - :param comment: str (optional) - User-provided free-form text description. - :param owner: str (optional) - Username of current owner of clean room. - - :returns: :class:`CleanRoomInfo` - \ No newline at end of file diff --git a/docs/workspace/sharing/providers.rst b/docs/workspace/sharing/providers.rst old mode 100755 new mode 100644 index 013f49874..6a7070fa2 --- a/docs/workspace/sharing/providers.rst +++ b/docs/workspace/sharing/providers.rst @@ -101,12 +101,25 @@ .. code-block:: + import time + from databricks.sdk import WorkspaceClient - from databricks.sdk.service import sharing w = WorkspaceClient() - all = w.providers.list(sharing.ListProvidersRequest()) + public_share_recipient = """{ + "shareCredentialsVersion":1, + "bearerToken":"dapiabcdefghijklmonpqrstuvwxyz", + "endpoint":"https://sharing.delta.io/delta-sharing/" + } + """ + + created = w.providers.create(name=f"sdk-{time.time_ns()}", recipient_profile_str=public_share_recipient) + + shares = w.providers.list_shares(name=created.name) + + # cleanup + w.providers.delete(name=created.name) Gets an array of available authentication providers. The caller must either be a metastore admin, have the **USE_PROVIDER** privilege on the providers, or be the owner of the providers. Providers not owned diff --git a/docs/workspace/sharing/recipients.rst b/docs/workspace/sharing/recipients.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/sql/dashboards.rst b/docs/workspace/sql/dashboards.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/sql/queries.rst b/docs/workspace/sql/queries.rst index d2cac3c70..16801adaa 100644 --- a/docs/workspace/sql/queries.rst +++ b/docs/workspace/sql/queries.rst @@ -29,7 +29,7 @@ display_name=f"sdk-{time.time_ns()}", warehouse_id=srcs[0].warehouse_id, description="test query from Go SDK", - query_text="SELECT 1", + query_text="SHOW TABLES", ) ) diff --git a/docs/workspace/sql/statement_execution.rst b/docs/workspace/sql/statement_execution.rst old mode 100755 new mode 100644 index 97a2f8657..3f7722b3c --- a/docs/workspace/sql/statement_execution.rst +++ b/docs/workspace/sql/statement_execution.rst @@ -86,7 +86,11 @@ terminal state is reached is a reliable way to determine the final state. - Wait timeouts are approximate, occur server-side, and cannot account for things such as caller delays and network latency from caller to service. - - To guarantee that the statement is kept alive, you must poll at least once every 15 minutes. + - To keep a statement alive, poll for its status at least once every 15 minutes. Regular polling + guarantees the statement stays alive. + - To stop a statement you no longer need, cancel it explicitly with + :method:statementexecution/cancelExecution. Stopping polling does not cancel a statement. Explicit + cancellation is the only way to end statement execution on demand. - The results are only available for one hour after success; polling does not extend this. - The SQL Execution API must be used for the entire lifecycle of the statement. For example, you cannot use the Jobs API to execute the command, and then the SQL Execution API to cancel it. diff --git a/docs/workspace/sql/warehouses.rst b/docs/workspace/sql/warehouses.rst old mode 100755 new mode 100644 index f24e5ef62..77f32a086 --- a/docs/workspace/sql/warehouses.rst +++ b/docs/workspace/sql/warehouses.rst @@ -65,7 +65,6 @@ - 3X-Large - 4X-Large - 5X-Large - - Auto :param creator_name: str (optional) warehouse creator name :param enable_photon: bool (optional) @@ -229,7 +228,6 @@ - 3X-Large - 4X-Large - 5X-Large - - Auto :param creator_name: str (optional) warehouse creator name :param enable_photon: bool (optional) diff --git a/docs/workspace/supervisoragents/index.rst b/docs/workspace/supervisoragents/index.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/supervisoragents/supervisor_agents.rst b/docs/workspace/supervisoragents/supervisor_agents.rst old mode 100755 new mode 100644 index 08ea76cf5..8cbfe7a3b --- a/docs/workspace/supervisoragents/supervisor_agents.rst +++ b/docs/workspace/supervisoragents/supervisor_agents.rst @@ -32,9 +32,10 @@ Creates a Tool under a Supervisor Agent. Specify one of "genie_space", "knowledge_assistant", "uc_function", "uc_connection", "app", "volume", "dashboard", "table", "vector_search_index", - "catalog", "schema", "supervisor_agent", "web_search", "skill" in the request body. The legacy values - "lakeview_dashboard" and "uc_table" are also accepted and remain equivalent to "dashboard" and "table" - respectively. + "catalog", "schema", "supervisor_agent", "databricks_web_search", "skill" in the request body. The + legacy values "lakeview_dashboard", "uc_table", and "web_search" are also accepted and remain + equivalent to "dashboard", "table", and "databricks_web_search" respectively. The + "databricks_web_search" tool_type maps to the ``web_search`` spec field. :param parent: str Parent resource where this tool will be created. Format: supervisor-agents/{supervisor_agent_id} diff --git a/docs/workspace/tags/tag_policies.rst b/docs/workspace/tags/tag_policies.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/tags/workspace_entity_tag_assignments.rst b/docs/workspace/tags/workspace_entity_tag_assignments.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/vectorsearch/vector_search_endpoints.rst b/docs/workspace/vectorsearch/vector_search_endpoints.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/vectorsearch/vector_search_indexes.rst b/docs/workspace/vectorsearch/vector_search_indexes.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/workspace/git_credentials.rst b/docs/workspace/workspace/git_credentials.rst old mode 100755 new mode 100644 diff --git a/docs/workspace/workspace/repos.rst b/docs/workspace/workspace/repos.rst old mode 100755 new mode 100644 index 8aff1d364..50eee61e6 --- a/docs/workspace/workspace/repos.rst +++ b/docs/workspace/workspace/repos.rst @@ -143,6 +143,10 @@ Returns repos that the calling user has Manage permissions on. Use ``next_page_token`` to iterate through additional pages. + Deprecated: This operation does not return a complete list of the repos in the workspace, because + repos with the Git CLI enabled are not included in its results. Instead, use the Repos and Workspace + APIs to find repos and their associated metadata in the workspace. + :param next_page_token: str (optional) Token used to get the next page of results. If not specified, returns the first page of results as well as a next page token if there are more results. diff --git a/docs/workspace/workspace/workspace.rst b/docs/workspace/workspace/workspace.rst old mode 100755 new mode 100644 index fd9a2c879..a113fa12a --- a/docs/workspace/workspace/workspace.rst +++ b/docs/workspace/workspace/workspace.rst @@ -82,7 +82,7 @@ notebook = f"/Users/{w.current_user.me().user_name}/sdk-{time.time_ns()}" - export_response = w.workspace.export(format=workspace.ExportFormat.SOURCE, path=notebook) + export_response = w.workspace.export_(format=workspace.ExportFormat.SOURCE, path=notebook) Exports an object or the contents of an entire directory. @@ -188,7 +188,7 @@ content=base64.b64encode(("CREATE LIVE TABLE dlt_sample AS SELECT 1").encode()).decode(), format=workspace.ImportFormat.SOURCE, language=workspace.Language.SQL, - overwrite=True, + overwrite=true_, path=notebook_path, ) diff --git a/tests/databricks/sdk/service/common.py b/tests/databricks/sdk/service/common.py deleted file mode 100755 index 2fcd455c5..000000000 --- a/tests/databricks/sdk/service/common.py +++ /dev/null @@ -1,232 +0,0 @@ -# Code generated from OpenAPI specs by Databricks SDK Generator. DO NOT EDIT. - -from __future__ import annotations - -import logging -from dataclasses import dataclass -from enum import Enum -from typing import Any, Dict, List, Optional - -from databricks.sdk.service._internal import _enum, _from_dict - -_LOG = logging.getLogger("databricks.sdk") - - -# all definitions in this file are in alphabetical order - - -@dataclass -class DatabricksServiceExceptionWithDetailsProto: - """Serialization format for DatabricksServiceException with error details. This message doesn't - work for ScalaPB-04 as google.protobuf.Any is only available to ScalaPB-09. Note the definition - of this message should be in sync with DatabricksServiceExceptionProto defined in - /api-base/proto/legacy/databricks.proto except the later one doesn't have the error details - field defined.""" - - details: Optional[List[dict]] = None - """@pbjson-skip""" - - error_code: Optional[ErrorCode] = None - - message: Optional[str] = None - - stack_trace: Optional[str] = None - - def as_dict(self) -> dict: - """Serializes the DatabricksServiceExceptionWithDetailsProto into a dictionary suitable for use as a JSON request body.""" - body = {} - if self.details: - body["details"] = [v for v in self.details] - if self.error_code is not None: - body["error_code"] = self.error_code.value - if self.message is not None: - body["message"] = self.message - if self.stack_trace is not None: - body["stack_trace"] = self.stack_trace - return body - - def as_shallow_dict(self) -> dict: - """Serializes the DatabricksServiceExceptionWithDetailsProto into a shallow dictionary of its immediate attributes.""" - body = {} - if self.details: - body["details"] = self.details - if self.error_code is not None: - body["error_code"] = self.error_code - if self.message is not None: - body["message"] = self.message - if self.stack_trace is not None: - body["stack_trace"] = self.stack_trace - return body - - @classmethod - def from_dict(cls, d: Dict[str, Any]) -> DatabricksServiceExceptionWithDetailsProto: - """Deserializes the DatabricksServiceExceptionWithDetailsProto from a dictionary.""" - return cls( - details=d.get("details", None), - error_code=_enum(d, "error_code", ErrorCode), - message=d.get("message", None), - stack_trace=d.get("stack_trace", None), - ) - - -class ErrorCode(Enum): - """Legacy definition of the ErrorCode enum. Please keep in sync with - api-base/proto/error_code.proto (except status code mapping annotations as this file doesn't - have them). Will be removed eventually, pending the ScalaPB 0.4 cleanup.""" - - ABORTED = "ABORTED" - ALREADY_EXISTS = "ALREADY_EXISTS" - BAD_REQUEST = "BAD_REQUEST" - CANCELLED = "CANCELLED" - CATALOG_ALREADY_EXISTS = "CATALOG_ALREADY_EXISTS" - CATALOG_DOES_NOT_EXIST = "CATALOG_DOES_NOT_EXIST" - CATALOG_NOT_EMPTY = "CATALOG_NOT_EMPTY" - COULD_NOT_ACQUIRE_LOCK = "COULD_NOT_ACQUIRE_LOCK" - CUSTOMER_UNAUTHORIZED = "CUSTOMER_UNAUTHORIZED" - DAC_ALREADY_EXISTS = "DAC_ALREADY_EXISTS" - DAC_DOES_NOT_EXIST = "DAC_DOES_NOT_EXIST" - DATA_LOSS = "DATA_LOSS" - DEADLINE_EXCEEDED = "DEADLINE_EXCEEDED" - DEPLOYMENT_TIMEOUT = "DEPLOYMENT_TIMEOUT" - DIRECTORY_NOT_EMPTY = "DIRECTORY_NOT_EMPTY" - DIRECTORY_PROTECTED = "DIRECTORY_PROTECTED" - DRY_RUN_FAILED = "DRY_RUN_FAILED" - ENDPOINT_NOT_FOUND = "ENDPOINT_NOT_FOUND" - EXTERNAL_LOCATION_ALREADY_EXISTS = "EXTERNAL_LOCATION_ALREADY_EXISTS" - EXTERNAL_LOCATION_DOES_NOT_EXIST = "EXTERNAL_LOCATION_DOES_NOT_EXIST" - FEATURE_DISABLED = "FEATURE_DISABLED" - GIT_CONFLICT = "GIT_CONFLICT" - GIT_REMOTE_ERROR = "GIT_REMOTE_ERROR" - GIT_SENSITIVE_TOKEN_DETECTED = "GIT_SENSITIVE_TOKEN_DETECTED" - GIT_UNKNOWN_REF = "GIT_UNKNOWN_REF" - GIT_URL_NOT_ON_ALLOW_LIST = "GIT_URL_NOT_ON_ALLOW_LIST" - INSECURE_PARTNER_RESPONSE = "INSECURE_PARTNER_RESPONSE" - INTERNAL_ERROR = "INTERNAL_ERROR" - INVALID_PARAMETER_VALUE = "INVALID_PARAMETER_VALUE" - INVALID_STATE = "INVALID_STATE" - INVALID_STATE_TRANSITION = "INVALID_STATE_TRANSITION" - IO_ERROR = "IO_ERROR" - IPYNB_FILE_IN_REPO = "IPYNB_FILE_IN_REPO" - MALFORMED_PARTNER_RESPONSE = "MALFORMED_PARTNER_RESPONSE" - MALFORMED_REQUEST = "MALFORMED_REQUEST" - MANAGED_RESOURCE_GROUP_DOES_NOT_EXIST = "MANAGED_RESOURCE_GROUP_DOES_NOT_EXIST" - MAX_BLOCK_SIZE_EXCEEDED = "MAX_BLOCK_SIZE_EXCEEDED" - MAX_CHILD_NODE_SIZE_EXCEEDED = "MAX_CHILD_NODE_SIZE_EXCEEDED" - MAX_LIST_SIZE_EXCEEDED = "MAX_LIST_SIZE_EXCEEDED" - MAX_NOTEBOOK_SIZE_EXCEEDED = "MAX_NOTEBOOK_SIZE_EXCEEDED" - MAX_READ_SIZE_EXCEEDED = "MAX_READ_SIZE_EXCEEDED" - METASTORE_ALREADY_EXISTS = "METASTORE_ALREADY_EXISTS" - METASTORE_DOES_NOT_EXIST = "METASTORE_DOES_NOT_EXIST" - METASTORE_NOT_EMPTY = "METASTORE_NOT_EMPTY" - NOT_FOUND = "NOT_FOUND" - NOT_IMPLEMENTED = "NOT_IMPLEMENTED" - PARTIAL_DELETE = "PARTIAL_DELETE" - PERMISSION_DENIED = "PERMISSION_DENIED" - PERMISSION_NOT_PROPAGATED = "PERMISSION_NOT_PROPAGATED" - PRINCIPAL_DOES_NOT_EXIST = "PRINCIPAL_DOES_NOT_EXIST" - PROJECTS_OPERATION_TIMEOUT = "PROJECTS_OPERATION_TIMEOUT" - PROVIDER_ALREADY_EXISTS = "PROVIDER_ALREADY_EXISTS" - PROVIDER_DOES_NOT_EXIST = "PROVIDER_DOES_NOT_EXIST" - PROVIDER_SHARE_NOT_ACCESSIBLE = "PROVIDER_SHARE_NOT_ACCESSIBLE" - QUOTA_EXCEEDED = "QUOTA_EXCEEDED" - RECIPIENT_ALREADY_EXISTS = "RECIPIENT_ALREADY_EXISTS" - RECIPIENT_DOES_NOT_EXIST = "RECIPIENT_DOES_NOT_EXIST" - REQUEST_LIMIT_EXCEEDED = "REQUEST_LIMIT_EXCEEDED" - RESOURCE_ALREADY_EXISTS = "RESOURCE_ALREADY_EXISTS" - RESOURCE_CONFLICT = "RESOURCE_CONFLICT" - RESOURCE_DOES_NOT_EXIST = "RESOURCE_DOES_NOT_EXIST" - RESOURCE_EXHAUSTED = "RESOURCE_EXHAUSTED" - RESOURCE_LIMIT_EXCEEDED = "RESOURCE_LIMIT_EXCEEDED" - SCHEMA_ALREADY_EXISTS = "SCHEMA_ALREADY_EXISTS" - SCHEMA_DOES_NOT_EXIST = "SCHEMA_DOES_NOT_EXIST" - SCHEMA_NOT_EMPTY = "SCHEMA_NOT_EMPTY" - SEARCH_QUERY_TOO_LONG = "SEARCH_QUERY_TOO_LONG" - SEARCH_QUERY_TOO_SHORT = "SEARCH_QUERY_TOO_SHORT" - SERVICE_UNDER_MAINTENANCE = "SERVICE_UNDER_MAINTENANCE" - SHARE_ALREADY_EXISTS = "SHARE_ALREADY_EXISTS" - SHARE_DOES_NOT_EXIST = "SHARE_DOES_NOT_EXIST" - STORAGE_CREDENTIAL_ALREADY_EXISTS = "STORAGE_CREDENTIAL_ALREADY_EXISTS" - STORAGE_CREDENTIAL_DOES_NOT_EXIST = "STORAGE_CREDENTIAL_DOES_NOT_EXIST" - TABLE_ALREADY_EXISTS = "TABLE_ALREADY_EXISTS" - TABLE_DOES_NOT_EXIST = "TABLE_DOES_NOT_EXIST" - TEMPORARILY_UNAVAILABLE = "TEMPORARILY_UNAVAILABLE" - UNAUTHENTICATED = "UNAUTHENTICATED" - UNAVAILABLE = "UNAVAILABLE" - UNKNOWN = "UNKNOWN" - UNPARSEABLE_HTTP_ERROR = "UNPARSEABLE_HTTP_ERROR" - WORKSPACE_TEMPORARILY_UNAVAILABLE = "WORKSPACE_TEMPORARILY_UNAVAILABLE" - - -@dataclass -class Operation: - """This resource represents a long-running operation that is the result of a network API call.""" - - done: Optional[bool] = None - """If the value is `false`, it means the operation is still in progress. If `true`, the operation - is completed, and either `error` or `response` is available.""" - - error: Optional[DatabricksServiceExceptionWithDetailsProto] = None - """The error result of the operation in case of failure or cancellation.""" - - metadata: Optional[dict] = None - """Service-specific metadata associated with the operation. It typically contains progress - information and common metadata such as create time. Some services might not provide such - metadata. Any method that returns a long-running operation should document the metadata type, if - any.""" - - name: Optional[str] = None - """The server-assigned name, which is only unique within the same service that originally returns - it. If you use the default HTTP mapping, the `name` should be a resource name ending with - `operations/{unique_id}`. - - Note: multi-segment resource names are not yet supported in the RPC framework and SDK/TF. Until - that support is added, `name` must be string without internal `/` separators.""" - - response: Optional[dict] = None - """The normal, successful response of the operation. If the original method returns no data on - success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is - standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the - response should have the type `XxxResponse`, where `Xxx` is the original method name. For - example, if the original method name is `TakeSnapshot()`, the inferred response type is - `TakeSnapshotResponse`.""" - - def as_dict(self) -> dict: - """Serializes the Operation into a dictionary suitable for use as a JSON request body.""" - body = {} - if self.done is not None: - body["done"] = self.done - if self.error: - body["error"] = self.error.as_dict() - if self.metadata: - body["metadata"] = self.metadata - if self.name is not None: - body["name"] = self.name - if self.response: - body["response"] = self.response - return body - - def as_shallow_dict(self) -> dict: - """Serializes the Operation into a shallow dictionary of its immediate attributes.""" - body = {} - if self.done is not None: - body["done"] = self.done - if self.error: - body["error"] = self.error - if self.metadata: - body["metadata"] = self.metadata - if self.name is not None: - body["name"] = self.name - if self.response: - body["response"] = self.response - return body - - @classmethod - def 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