databricks-sdk 0.156.0

Source: https://github.com/databricks/databricks-sdk-py
Tag scanned: v0.156.0
Compared with: v0.155.0 (0 signals introduced since)
Files: 764 scanned, 21 skipped (binary, oversized, or unrecognised)
Signals: 0 critical · 0 warn · 58 info
Scan time: 12.4 s
LLM review: Reviewed by claude-haiku-5-5 (Anthropic): 15 of 15 warn and critical signals; 15 demoted to info.
Disclude version: 4.1.0
Scanned (UTC): 2026-10-22 11:14

Signals

Ordered by severity, then signals introduced in this release. Hidden characters are shown as ⟨U+…⟩.

info long-line CHANGELOG.md:279:1

line length 568 characters (raw pass, confidence 0.50)

* Add `deployment_resource_type_vector_search_endpoint`, `deployment_resource_type_vector_search_index`, `deployment_resource_type_job_run`, `deployment_resource_type_postgres_catalog`, `deployment_resource_type_postgres_synced_table`, `deployment_resource_type_genie_space`, `deployment_resource_type_instance_pool`, `d

info long-line CHANGELOG.md:348:1

line length 780 characters (raw pass, confidence 0.50)

* Add `create_direct_group_member()`, `create_group()`, `create_service_principal()`, `create_user()`, `create_workspace_assignment()`, `delete_direct_group_member()`, `delete_group()`, `delete_service_principal()`, `delete_user()`, `delete_workspace_assignment()`, `get_direct_group_member()`, `get_group()`, `get_servi

info long-line CHANGELOG.md:349:1

line length 1011 characters (raw pass, confidence 0.50)

* Add `create_direct_group_member_proxy()`, `create_group_proxy()`, `create_service_principal_proxy()`, `create_user_proxy()`, `create_workspace_assignment_proxy()`, `delete_direct_group_member_proxy()`, `delete_group_proxy()`, `delete_service_principal_proxy()`, `delete_user_proxy()`, `delete_workspace_assignment_prox

info ~~warn~~ → info by review long-line CHANGELOG.md:1535:1

line length 3303 characters (raw pass, confidence 0.65)
```
* Add `ssh_bootstrap_failure`, `aws_inaccessible_kms_key_failure`, `init_container_not_finished`, `spark_image_download_throttled`, `spark_image_not_found`, `cluster_operation_throttled`, `cluster_operation_timeout`, `serverless_long_running_terminated`, `azure_packed_deployment_partial_failure`, `invalid_worker_image_
```
likely benign LLM, confidence 0.95 Changelog bullet listing many added error-code identifiers on one long line.
Reasoning
Long markdown bullet listing error code names in a changelog; a raw long-line heuristic with no obfuscation or malicious content.

info ~~warn~~ → info by review long-line CHANGELOG.md:1654:1

line length 3317 characters (raw pass, confidence 0.65)

* [Breaking] Remove `ssh_bootstrap_failure`, `aws_inaccessible_kms_key_failure`, `init_container_not_finished`, `spark_image_download_throttled`, `spark_image_not_found`, `cluster_operation_throttled`, `cluster_operation_timeout`, `serverless_long_running_terminated`, `azure_packed_deployment_partial_failure`, `invalid

likely benign LLM, confidence 0.95 Changelog breaking-change bullet listing removed error codes.

Reasoning

Changelog entry noting removal of error codes; long line is ordinary markdown prose/identifier list.

info ~~warn~~ → info by review long-line CHANGELOG.md:1692:1

line length 3303 characters (raw pass, confidence 0.65)

* Add `ssh_bootstrap_failure`, `aws_inaccessible_kms_key_failure`, `init_container_not_finished`, `spark_image_download_throttled`, `spark_image_not_found`, `cluster_operation_throttled`, `cluster_operation_timeout`, `serverless_long_running_terminated`, `azure_packed_deployment_partial_failure`, `invalid_worker_image_

likely benign LLM, confidence 0.95 Changelog bullet listing added error-code identifiers.

Reasoning

Same kind of long changelog bullet of added error identifiers; no executable or hidden content.

info long-line CHANGELOG.md:1774:1

line length 810 characters (raw pass, confidence 0.50)

* Added [a.account_groups_v2](https://databricks-sdk-py.readthedocs.io/en/latest/account/iam/account_groups_v2.html) account-level service, [a.account_service_principals_v2](https://databricks-sdk-py.readthedocs.io/en/latest/account/iam/account_service_principals_v2.html) account-level service, [a.account_users_v2](htt

info long-line CHANGELOG.md:2197:1

line length 852 characters (raw pass, confidence 0.50)

* Added [a.llm_proxy_partner_powered_account](https://databricks-sdk-py.readthedocs.io/en/latest/account/settings/settings/llm_proxy_partner_powered_account.html) account-level service, [a.llm_proxy_partner_powered_enforce](https://databricks-sdk-py.readthedocs.io/en/latest/account/settings/settings/llm_proxy_partner_p

info long-line CHANGELOG.md:2342:1

line length 516 characters (raw pass, confidence 0.50)

* Added [w.enable_export_notebook](https://databricks-sdk-py.readthedocs.io/en/latest/workspace/settings/settings/enable_export_notebook.html) workspace-level service, [w.enable_notebook_table_clipboard](https://databricks-sdk-py.readthedocs.io/en/latest/workspace/settings/settings/enable_notebook_table_clipboard.html)

info ~~warn~~ → info by review long-line CHANGELOG.md:2389:1

line length 2573 characters (raw pass, confidence 0.65)

* Added `access_token_failure`, `allocation_timeout`, `allocation_timeout_node_daemon_not_ready`, `allocation_timeout_no_healthy_clusters`, `allocation_timeout_no_matched_clusters`, `allocation_timeout_no_ready_clusters`, `allocation_timeout_no_unallocated_clusters`, `allocation_timeout_no_warmed_up_clusters`, `aws_ina

likely benign LLM, confidence 0.95 Changelog bullet enumerating added allocation/access error identifiers.

Reasoning

Changelog bullet enumerating error identifiers; raw long-line signal only.

info ~~warn~~ → info by review long-line CHANGELOG.md:2426:1

line length 2586 characters (raw pass, confidence 0.65)

* [Breaking] Removed `access_token_failure`, `allocation_timeout`, `allocation_timeout_node_daemon_not_ready`, `allocation_timeout_no_healthy_clusters`, `allocation_timeout_no_matched_clusters`, `allocation_timeout_no_ready_clusters`, `allocation_timeout_no_unallocated_clusters`, `allocation_timeout_no_warmed_up_cluste

likely benign LLM, confidence 0.95 Changelog breaking-change bullet listing removed error identifiers.

Reasoning

Changelog breaking-change bullet listing removed identifiers; benign documentation.

info ~~warn~~ → info by review long-line CHANGELOG.md:2449:1

line length 2573 characters (raw pass, confidence 0.65)

* Added `access_token_failure`, `allocation_timeout`, `allocation_timeout_node_daemon_not_ready`, `allocation_timeout_no_healthy_clusters`, `allocation_timeout_no_matched_clusters`, `allocation_timeout_no_ready_clusters`, `allocation_timeout_no_unallocated_clusters`, `allocation_timeout_no_warmed_up_clusters`, `aws_ina

likely benign LLM, confidence 0.95 Changelog bullet enumerating added error identifiers.

Reasoning

Changelog bullet of added identifiers; long line from list formatting in docs.

info long-line CHANGELOG.md:3095:1

line length 518 characters (raw pass, confidence 0.50)

 * Added `databricks.sdk.service.compute.ClusterCompliance`, `databricks.sdk.service.compute.ClusterSettingsChange`, `databricks.sdk.service.compute.EnforceClusterComplianceRequest`, `databricks.sdk.service.compute.EnforceClusterComplianceResponse`, `databricks.sdk.service.compute.GetClusterComplianceRequest`, `databri

info long-line CHANGELOG.md:3096:1

line length 525 characters (raw pass, confidence 0.50)

 * Added `databricks.sdk.service.jobs.EnforcePolicyComplianceForJobResponseJobClusterSettingsChange`, `databricks.sdk.service.jobs.EnforcePolicyComplianceRequest`, `databricks.sdk.service.jobs.EnforcePolicyComplianceResponse`, `databricks.sdk.service.jobs.GetPolicyComplianceRequest`, `databricks.sdk.service.jobs.GetPol

info ~~warn~~ → info by review long-line CHANGELOG.md:3159:1

line length 2008 characters (raw pass, confidence 0.65)

 * Added `databricks.sdk.service.billing.ActionConfiguration`, `databricks.sdk.service.billing.ActionConfigurationType`, `databricks.sdk.service.billing.AlertConfiguration`, `databricks.sdk.service.billing.AlertConfigurationQuantityType`, `databricks.sdk.service.billing.AlertConfigurationTimePeriod`, `databricks.sdk.se

likely benign LLM, confidence 0.95 Changelog bullet listing added Databricks SDK billing class names.

Reasoning

Changelog bullet listing newly added SDK class names; ordinary release notes.

info ~~warn~~ → info by review long-line CHANGELOG.md:3167:1

line length 3300 characters (raw pass, confidence 0.65)

 * Added `databricks.sdk.service.sql.AlertCondition`, `databricks.sdk.service.sql.AlertConditionOperand`, `databricks.sdk.service.sql.AlertConditionThreshold`, `databricks.sdk.service.sql.AlertOperandColumn`, `databricks.sdk.service.sql.AlertOperandValue`, `databricks.sdk.service.sql.AlertOperator`, `databricks.sdk.ser

likely benign LLM, confidence 0.95 Changelog bullet listing added Databricks SDK SQL class names.

Reasoning

Changelog bullet listing added SDK SQL class names; no code execution or obfuscation.

info long-line CHANGELOG.md:3349:1

line length 1250 characters (raw pass, confidence 0.50)

 * Added `databricks.sdk.service.dashboards.CreateScheduleRequest`, `databricks.sdk.service.dashboards.CreateSubscriptionRequest`, `databricks.sdk.service.dashboards.CronSchedule`, `databricks.sdk.service.dashboards.DashboardView`, `databricks.sdk.service.dashboards.DeleteScheduleRequest`, `databricks.sdk.service.dashb

info long-line CHANGELOG.md:3813:1

line length 884 characters (raw pass, confidence 0.50)

 * Added `include_browse` field for `databricks.sdk.service.catalog.GetCatalogRequest`,  `databricks.sdk.service.catalog.GetExternalLocationRequest`,  `databricks.sdk.service.catalog.GetFunctionRequest`,  `databricks.sdk.service.catalog.GetModelVersionRequest`,  `databricks.sdk.service.catalog.GetRegisteredModelRequest

info ~~warn~~ → info by review dynamic-attribute databricks/sdk/runtime/__init__.py:130:9

reach-by-name through `globals` (ast pass, confidence 0.60)
```
    for var in dbruntime_objects:
        globals()[var] = None

    # The next few try-except blocks are for initialising globals in a best effort
```
likely benign LLM, confidence 0.85 Initializes runtime placeholder globals by name via globals() in the Databricks SDK runtime shim.
Reasoning
Assigning None to names from a list via globals() is a known pattern for initializing runtime placeholder globals in the Databricks SDK; it is reach-by-name but benign in this context, and the snippet shows best-effort initialization.

info high-complexity databricks/sdk/service/catalog.py:8028:12

compression ratio 0.838 is >2σ above file mean 0.799 (raw pass, confidence 0.50)

    def as_dict(self) -> dict:
        """Serializes the ModelProviderServiceConfigCustomProviderApiKeyHeaderAuth into a dictionary suitable for use as a JSON request body."""
        body = {}
        if self.api_key_name is not None:

info ~~warn~~ → info by review encoding-base64 databricks/sdk/service/iam.py:2298:37

base64-like blob (65 bytes, compression ratio 1.17) (raw pass, confidence 0.60)
```
          Examples | Summary :--- | :--- ``etag=`` | An empty etag can only be used in GET to indicate no
          freshness requirements. ``etag=RENUAAABhSweA4NvVmmUYdiU717H3Tgy0UJdor3gE4a+mq/oj9NjAf8ZsQ==`` | An
          etag encoded a specific version of the rule set to get or to be updated.
```
likely benign LLM, confidence 0.93 Example base64 etag value in an IAM API docstring.
Reasoning
The blob is an example etag inside a docstring table describing API usage; it is documentation, not a payload or dropper.

info ~~warn~~ → info by review encoding-base64 databricks/sdk/service/iam.py:2414:37

base64-like blob (65 bytes, compression ratio 1.17) (raw pass, confidence 0.60)

          Examples | Summary :--- | :--- ``etag=`` | An empty etag can only be used in GET to indicate no
          freshness requirements. ``etag=RENUAAABhSweA4NvVmmUYdiU717H3Tgy0UJdor3gE4a+mq/oj9NjAf8ZsQ==`` | An
          etag encoded a specific version of the rule set to get or to be updated.

likely benign LLM, confidence 0.93 Example base64 etag value in an IAM API docstring.

Reasoning

Same docstring example etag appearing again in another IAM method docstring; benign documentation.

info ~~warn~~ → info by review encoding-base64 docs/account/iam/access_control.rst:52:37

base64-like blob (65 bytes, compression ratio 1.17) (raw pass, confidence 0.60)
```
          Examples | Summary :--- | :--- ``etag=`` | An empty etag can only be used in GET to indicate no
          freshness requirements. ``etag=RENUAAABhSweA4NvVmmUYdiU717H3Tgy0UJdor3gE4a+mq/oj9NjAf8ZsQ==`` | An
          etag encoded a specific version of the rule set to get or to be updated.
```
likely benign LLM, confidence 0.95 Documentation example of an opaque etag value in an access control API reference.
Reasoning
The flagged string is an etag example value embedded in API documentation. It is a random-looking base64 token, which is a normal documentation example; raw-pass base64 hits in docs have a high false-positive rate.

info long-line docs/account/provisioning/workspaces.rst:14:1

line length 763 characters (raw pass, confidence 0.50)

    .. py:method:: create( [, aws_region: Optional[str], cloud: Optional[str], cloud_resource_container: Optional[CloudResourceContainer], compute_mode: Optional[CustomerFacingComputeMode], credentials_id: Optional[str], custom_tags: Optional[Dict[str, str]], deployment_name: Optional[str], gcp_managed_network_config:

info long-line docs/account/provisioning/workspaces.rst:152:1

line length 805 characters (raw pass, confidence 0.50)

    .. py:method:: create_and_wait( [, aws_region: Optional[str], cloud: Optional[str], cloud_resource_container: Optional[CloudResourceContainer], compute_mode: Optional[CustomerFacingComputeMode], credentials_id: Optional[str], custom_tags: Optional[Dict[str, str]], deployment_name: Optional[str], gcp_managed_network

info ~~warn~~ → info by review long-line docs/dbdataclasses/jobs.rst:1223:1

line length 3556 characters (raw pass, confidence 0.65)
```
   - ``SUCCESS``: The run was completed successfully. - ``SUCCESS_WITH_FAILURES``: The run was completed successfully but some child runs failed. - ``USER_CANCELED``: The run was successfully canceled during execution by a user. - ``CANCELED``: The run was canceled during execution by the Databricks platform; for examp
```
dismissed LLM, confidence 0.95 Very long line in generated SDK documentation listing run result state enum values.
Reasoning
The long line is a flattened RST enum description listing job run result states. Long lines in generated docs are a formatting artifact with no code execution or hidden content.

info long-line docs/workspace/catalog/external_locations.rst:187:1

line length 565 characters (raw pass, confidence 0.50)

    .. py:method:: update(name: str [, comment: Optional[str], credential_name: Optional[str], effective_enable_file_events: Optional[bool], effective_file_event_queue: Optional[FileEventQueue], enable_file_events: Optional[bool], encryption_details: Optional[EncryptionDetails], fallback: Optional[bool], file_event_que

info long-line docs/workspace/catalog/model_versions.rst:108:1

line length 597 characters (raw pass, confidence 0.50)

    .. py:method:: update(full_name: str, version: int [, aliases: Optional[List[RegisteredModelAlias]], catalog_name: Optional[str], comment: Optional[str], created_at: Optional[int], created_by: Optional[str], id: Optional[str], metastore_id: Optional[str], model_name: Optional[str], model_version_dependencies: Optio

info long-line docs/workspace/catalog/quality_monitors.rst:29:1

line length 617 characters (raw pass, confidence 0.50)

    .. py:method:: create(table_name: str, output_schema_name: str, assets_dir: str [, baseline_table_name: Optional[str], custom_metrics: Optional[List[MonitorMetric]], data_classification_config: Optional[MonitorDataClassificationConfig], inference_log: Optional[MonitorInferenceLog], latest_monitor_failure_msg: Optio

info long-line docs/workspace/catalog/quality_monitors.rst:245:1

line length 560 characters (raw pass, confidence 0.50)

    .. py:method:: update(table_name: str, output_schema_name: str [, baseline_table_name: Optional[str], custom_metrics: Optional[List[MonitorMetric]], dashboard_id: Optional[str], data_classification_config: Optional[MonitorDataClassificationConfig], inference_log: Optional[MonitorInferenceLog], latest_monitor_failur

info long-line docs/workspace/catalog/storage_credentials.rst:160:1

line length 554 characters (raw pass, confidence 0.50)

    .. py:method:: update(name: str [, aws_iam_role: Optional[AwsIamRoleRequest], azure_managed_identity: Optional[AzureManagedIdentityResponse], azure_service_principal: Optional[AzureServicePrincipal], cloudflare_api_token: Optional[CloudflareApiToken], comment: Optional[str], databricks_gcp_service_account: Optional

info long-line docs/workspace/compute/clusters.rst:73:1

line length 1438 characters (raw pass, confidence 0.50)

    .. py:method:: create(spark_version: str [, apply_policy_default_values: Optional[bool], autoscale: Optional[AutoScale], autotermination_minutes: Optional[int], aws_attributes: Optional[AwsAttributes], azure_attributes: Optional[AzureAttributes], clone_from: Optional[CloneCluster], cluster_log_conf: Optional[Cluste

info long-line docs/workspace/compute/clusters.rst:253:1

line length 1480 characters (raw pass, confidence 0.50)

    .. py:method:: create_and_wait(spark_version: str [, apply_policy_default_values: Optional[bool], autoscale: Optional[AutoScale], autotermination_minutes: Optional[int], aws_attributes: Optional[AwsAttributes], azure_attributes: Optional[AzureAttributes], clone_from: Optional[CloneCluster], cluster_log_conf: Option

info long-line docs/workspace/compute/clusters.rst:302:1

line length 1417 characters (raw pass, confidence 0.50)

    .. py:method:: edit(cluster_id: str, spark_version: str [, apply_policy_default_values: Optional[bool], autoscale: Optional[AutoScale], autotermination_minutes: Optional[int], aws_attributes: Optional[AwsAttributes], azure_attributes: Optional[AzureAttributes], cluster_log_conf: Optional[ClusterLogConf], cluster_na

info long-line docs/workspace/compute/clusters.rst:489:1

line length 1459 characters (raw pass, confidence 0.50)

    .. py:method:: edit_and_wait(cluster_id: str, spark_version: str [, apply_policy_default_values: Optional[bool], autoscale: Optional[AutoScale], autotermination_minutes: Optional[int], aws_attributes: Optional[AwsAttributes], azure_attributes: Optional[AzureAttributes], cluster_log_conf: Optional[ClusterLogConf], c

info long-line docs/workspace/compute/instance_pools.rst:22:1

line length 731 characters (raw pass, confidence 0.50)

    .. py:method:: create(instance_pool_name: str, node_type_id: str [, aws_attributes: Optional[InstancePoolAwsAttributes], azure_attributes: Optional[InstancePoolAzureAttributes], custom_tags: Optional[Dict[str, str]], disk_spec: Optional[DiskSpec], enable_elastic_disk: Optional[bool], gcp_attributes: Optional[Instan

info ~~warn~~ → info by review encoding-base64 docs/workspace/iam/account_access_control_proxy.rst:52:37

base64-like blob (65 bytes, compression ratio 1.17) (raw pass, confidence 0.60)
```
          Examples | Summary :--- | :--- ``etag=`` | An empty etag can only be used in GET to indicate no
          freshness requirements. ``etag=RENUAAABhSweA4NvVmmUYdiU717H3Tgy0UJdor3gE4a+mq/oj9NjAf8ZsQ==`` | An
          etag encoded a specific version of the rule set to get or to be updated.
```
likely benign LLM, confidence 0.95 Documentation example of an opaque etag value in an access control proxy API reference.
Reasoning
This is the same etag documentation example as the other access_control doc, a duplicated generated docs page. The base64-like value is an illustrative example, not a payload.

info long-line docs/workspace/jobs/jobs.rst:128:1

line length 1210 characters (raw pass, confidence 0.50)

    .. py:method:: create( [, access_control_list: Optional[List[JobAccessControlRequest]], budget_policy_id: Optional[str], continuous: Optional[Continuous], deployment: Optional[JobDeployment], description: Optional[str], duration_target: Optional[str], edit_mode: Optional[JobEditMode], email_notifications: Optional[

info long-line docs/workspace/jobs/jobs.rst:659:1

line length 644 characters (raw pass, confidence 0.50)

    .. py:method:: repair_run(run_id: int [, dbt_commands: Optional[List[str]], duration_target: Optional[str], jar_params: Optional[List[str]], job_parameters: Optional[Dict[str, str]], latest_repair_id: Optional[int], notebook_params: Optional[Dict[str, str]], performance_target: Optional[PerformanceTarget], pipeline

info long-line docs/workspace/jobs/jobs.rst:817:1

line length 686 characters (raw pass, confidence 0.50)

    .. py:method:: repair_run_and_wait(run_id: int [, dbt_commands: Optional[List[str]], duration_target: Optional[str], jar_params: Optional[List[str]], job_parameters: Optional[Dict[str, str]], latest_repair_id: Optional[int], notebook_params: Optional[Dict[str, str]], performance_target: Optional[PerformanceTarget],

info long-line docs/workspace/jobs/jobs.rst:880:1

line length 588 characters (raw pass, confidence 0.50)

    .. py:method:: run_now(job_id: int [, dbt_commands: Optional[List[str]], duration_target: Optional[str], idempotency_token: Optional[str], jar_params: Optional[List[str]], job_parameters: Optional[Dict[str, str]], notebook_params: Optional[Dict[str, str]], only: Optional[List[str]], performance_target: Optional[Per

info long-line docs/workspace/jobs/jobs.rst:1038:1

line length 630 characters (raw pass, confidence 0.50)

    .. py:method:: run_now_and_wait(job_id: int [, dbt_commands: Optional[List[str]], duration_target: Optional[str], idempotency_token: Optional[str], jar_params: Optional[List[str]], job_parameters: Optional[Dict[str, str]], notebook_params: Optional[Dict[str, str]], only: Optional[List[str]], performance_target: Opt

info long-line docs/workspace/jobs/jobs.rst:1053:1

line length 782 characters (raw pass, confidence 0.50)

    .. py:method:: submit( [, access_control_list: Optional[List[JobAccessControlRequest]], budget_policy_id: Optional[str], duration_target: Optional[str], email_notifications: Optional[JobEmailNotifications], environment_variables: Optional[List[JobEnvironmentVariables]], environments: Optional[List[JobEnvironment]],

info long-line docs/workspace/jobs/jobs.rst:1170:1

line length 824 characters (raw pass, confidence 0.50)

    .. py:method:: submit_and_wait( [, access_control_list: Optional[List[JobAccessControlRequest]], budget_policy_id: Optional[str], duration_target: Optional[str], email_notifications: Optional[JobEmailNotifications], environment_variables: Optional[List[JobEnvironmentVariables]], environments: Optional[List[JobEnvir

info long-line docs/workspace/ml/forecasting.rst:9:1

line length 615 characters (raw pass, confidence 0.50)

    .. py:method:: create_experiment(train_data_path: str, target_column: str, time_column: str, forecast_granularity: str, forecast_horizon: int [, custom_weights_column: Optional[str], experiment_path: Optional[str], future_feature_data_path: Optional[str], holiday_regions: Optional[List[str]], include_features: Opti

info long-line docs/workspace/ml/forecasting.rst:69:1

line length 657 characters (raw pass, confidence 0.50)

    .. py:method:: create_experiment_and_wait(train_data_path: str, target_column: str, time_column: str, forecast_granularity: str, forecast_horizon: int [, custom_weights_column: Optional[str], experiment_path: Optional[str], future_feature_data_path: Optional[str], holiday_regions: Optional[List[str]], include_featu

info long-line docs/workspace/pipelines/pipelines.rst:29:1

line length 1189 characters (raw pass, confidence 0.50)

    .. py:method:: clone(pipeline_id: str [, allow_duplicate_names: Optional[bool], budget_policy_id: Optional[str], catalog: Optional[str], channel: Optional[str], clone_mode: Optional[CloneMode], clusters: Optional[List[PipelineCluster]], configuration: Optional[Dict[str, str]], continuous: Optional[bool], deployment

info long-line docs/workspace/pipelines/pipelines.rst:129:1

line length 1191 characters (raw pass, confidence 0.50)

    .. py:method:: create( [, allow_duplicate_names: Optional[bool], budget_policy_id: Optional[str], catalog: Optional[str], channel: Optional[str], clusters: Optional[List[PipelineCluster]], configuration: Optional[Dict[str, str]], continuous: Optional[bool], deployment: Optional[PipelineDeployment], development: Opt

info long-line docs/workspace/pipelines/pipelines.rst:541:1

line length 1195 characters (raw pass, confidence 0.50)

    .. py:method:: update(pipeline_id: str [, allow_duplicate_names: Optional[bool], budget_policy_id: Optional[str], catalog: Optional[str], channel: Optional[str], clusters: Optional[List[PipelineCluster]], configuration: Optional[Dict[str, str]], continuous: Optional[bool], deployment: Optional[PipelineDeployment],

info long-line docs/workspace/serving/serving_endpoints.rst:312:1

line length 531 characters (raw pass, confidence 0.50)

    .. py:method:: query(name: str [, client_request_id: Optional[str], dataframe_records: Optional[List[Any]], dataframe_split: Optional[DataframeSplitInput], extra_params: Optional[Dict[str, str]], input: Optional[Any], inputs: Optional[Any], instances: Optional[List[Any]], max_tokens: Optional[int], messages: Option

info long-line docs/workspace/serving/serving_endpoints_data_plane.rst:10:1

line length 531 characters (raw pass, confidence 0.50)

    .. py:method:: query(name: str [, client_request_id: Optional[str], dataframe_records: Optional[List[Any]], dataframe_split: Optional[DataframeSplitInput], extra_params: Optional[Dict[str, str]], input: Optional[Any], inputs: Optional[Any], instances: Optional[List[Any]], max_tokens: Optional[int], messages: Option

info long-line docs/workspace/sql/warehouses.rst:10:1

line length 666 characters (raw pass, confidence 0.50)

    .. py:method:: create( [, auto_stop_mins: Optional[int], channel: Optional[Channel], cluster_size: Optional[str], creator_name: Optional[str], customer_version_label: Optional[str], enable_photon: Optional[bool], enable_serverless_compute: Optional[bool], instance_profile_arn: Optional[str], max_dbu: Optional[int],

info long-line docs/workspace/sql/warehouses.rst:140:1

line length 708 characters (raw pass, confidence 0.50)

    .. py:method:: create_and_wait( [, auto_stop_mins: Optional[int], channel: Optional[Channel], cluster_size: Optional[str], creator_name: Optional[str], customer_version_label: Optional[str], enable_photon: Optional[bool], enable_serverless_compute: Optional[bool], instance_profile_arn: Optional[str], max_dbu: Optio

info long-line docs/workspace/sql/warehouses.rst:180:1

line length 669 characters (raw pass, confidence 0.50)

    .. py:method:: edit(id: str [, auto_stop_mins: Optional[int], channel: Optional[Channel], cluster_size: Optional[str], creator_name: Optional[str], customer_version_label: Optional[str], enable_photon: Optional[bool], enable_serverless_compute: Optional[bool], instance_profile_arn: Optional[str], max_dbu: Optional[

info long-line docs/workspace/sql/warehouses.rst:320:1

line length 711 characters (raw pass, confidence 0.50)

    .. py:method:: edit_and_wait(id: str [, auto_stop_mins: Optional[int], channel: Optional[Channel], cluster_size: Optional[str], creator_name: Optional[str], customer_version_label: Optional[str], enable_photon: Optional[bool], enable_serverless_compute: Optional[bool], instance_profile_arn: Optional[str], max_dbu:

info long-line docs/workspace/sql/warehouses.rst:465:1

line length 561 characters (raw pass, confidence 0.50)

    .. py:method:: set_workspace_warehouse_config( [, channel: Optional[Channel], config_param: Optional[RepeatedEndpointConfPairs], data_access_config: Optional[List[EndpointConfPair]], enable_serverless_compute: Optional[bool], enabled_warehouse_types: Optional[List[WarehouseTypePair]], global_param: Optional[Repeate

info whitespace-anomaly tests/generated/test_json_marshall.py:15:1

file mixes tab and space indentation (87 tab-indented and 325 space-indented lines) (raw pass, confidence 0.40)
```
def _duration(d: str) -> Duration:
    dur = Duration()
    dur.FromJsonString(d)
    return dur
```
info ~~warn~~ → info by review dynamic-execution tests/test_base_client.py:402:10

`open(__file__)` — file reads its own source, common pattern for extracting payloads hidden in comments (ast pass, confidence 0.85)
```
    # Test file objects.
    with open(__file__, "rb") as f:
        assert client._is_seekable_stream(f)  # File object
```
likely benign LLM, confidence 0.90 Unit test opens the test file itself in binary mode to exercise seekable-stream detection.
Reasoning
The test opens its own file to get a seekable binary stream for testing _is_seekable_stream. This is ordinary test setup. The AST rule flags open(__file__) generically, and there is no decode, exec, or payload extraction in the snippet.

Reproduce This Scan

Run disclude locally to verify. Add --format sarif for SARIF output. Add --llm (with an API key in the environment) to include the LLM review.

cargo install disclude --version 4.1.0
git clone https://github.com/databricks/databricks-sdk-py databricks-sdk-py && cd databricks-sdk-py
git checkout v0.156.0
disclude scan --severity info --diff v0.155.0 .