Google Cloud Gemini Data Analytics V1beta Client - Class DataAgent (0.16.0)
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Reference documentation and code samples for the Google Cloud Gemini Data Analytics V1beta Client class DataAgent.
Message describing a DataAgent object.
Generated from protobuf message google.cloud.geminidataanalytics.v1beta.DataAgent
Optional. Identifier. The unique resource name of a DataAgent.
Format:
projects/{project}/locations/{location}/dataAgents/{data_agent_id}{data_agent} is the resource id and should be 63 characters or less and
must match the format described in
https://google.aip.dev/122#resource-id-segments
Example: projects/1234567890/locations/global/dataAgents/my-agent.
It is recommended to skip setting this field during agent creation as it
will be inferred automatically and overwritten with the
{parent}/dataAgents/{data_agent_id}.
Returns
Type
Description
string
setName
Optional. Identifier. The unique resource name of a DataAgent.
Format:
projects/{project}/locations/{location}/dataAgents/{data_agent_id}{data_agent} is the resource id and should be 63 characters or less and
must match the format described in
https://google.aip.dev/122#resource-id-segments
Example: projects/1234567890/locations/global/dataAgents/my-agent.
It is recommended to skip setting this field during agent creation as it
will be inferred automatically and overwritten with the
{parent}/dataAgents/{data_agent_id}.
Parameter
Name
Description
var
string
Returns
Type
Description
$this
getDisplayName
Optional. User friendly display name.
Must be between 1-256 characters.
Returns
Type
Description
string
setDisplayName
Optional. User friendly display name.
Must be between 1-256 characters.
Parameter
Name
Description
var
string
Returns
Type
Description
$this
getDescription
Optional. Description of the agent.
Must be between 1-1024 characters.
Returns
Type
Description
string
setDescription
Optional. Description of the agent.
Must be between 1-1024 characters.
Parameter
Name
Description
var
string
Returns
Type
Description
$this
getLabels
Optional. Labels to help users filter related agents.
For example, "sales", "business", "etl", and so on.
Note labels are used only for filtering and not for policies.
See the labels
documentation
for more details on label usage.
Returns
Type
Description
Google\Protobuf\Internal\MapField
setLabels
Optional. Labels to help users filter related agents.
For example, "sales", "business", "etl", and so on.
Note labels are used only for filtering and not for policies.
See the labels
documentation
for more details on label usage.
Parameter
Name
Description
var
array|Google\Protobuf\Internal\MapField
Returns
Type
Description
$this
getCreateTime
Output only. The time when the data agent was created.
Returns
Type
Description
Google\Protobuf\Timestamp|null
hasCreateTime
clearCreateTime
setCreateTime
Output only. The time when the data agent was created.
Parameter
Name
Description
var
Google\Protobuf\Timestamp
Returns
Type
Description
$this
getUpdateTime
Output only. The time when the data agent was last updated.
Returns
Type
Description
Google\Protobuf\Timestamp|null
hasUpdateTime
clearUpdateTime
setUpdateTime
Output only. The time when the data agent was last updated.
Parameter
Name
Description
var
Google\Protobuf\Timestamp
Returns
Type
Description
$this
getDeleteTime
Output only. [Output only] The time the data agent was soft deleted.
Returns
Type
Description
Google\Protobuf\Timestamp|null
hasDeleteTime
clearDeleteTime
setDeleteTime
Output only. [Output only] The time the data agent was soft deleted.
Parameter
Name
Description
var
Google\Protobuf\Timestamp
Returns
Type
Description
$this
getPurgeTime
Output only. Timestamp in UTC of when this data agent is considered
expired. This is always provided on output, regardless of what was sent
on input.
Returns
Type
Description
Google\Protobuf\Timestamp|null
hasPurgeTime
clearPurgeTime
setPurgeTime
Output only. Timestamp in UTC of when this data agent is considered
expired. This is always provided on output, regardless of what was sent
on input.
Parameter
Name
Description
var
Google\Protobuf\Timestamp
Returns
Type
Description
$this
getKmsKey
Optional. Customer managed encryption key (CMEK) to use for encrypting the
DataAgent resources. Cloud KMS CryptoKeys must reside in the same location
as the DataAgent. The expected format is
projects/*/locations/*/keyRings/*/cryptoKeys/*.
Returns
Type
Description
string
hasKmsKey
clearKmsKey
setKmsKey
Optional. Customer managed encryption key (CMEK) to use for encrypting the
DataAgent resources. Cloud KMS CryptoKeys must reside in the same location
as the DataAgent. The expected format is
projects/*/locations/*/keyRings/*/cryptoKeys/*.
Parameter
Name
Description
var
string
Returns
Type
Description
$this
getBigqueryAgentAnalyticsEnabled
Optional. Controls whether BigQuery Agent Analytics trace logging is
enabled for the agent.
BigQuery Agent Analytics is in Preview and is delivered to enrolled
projects only. In a project that is not enrolled this field is accepted
and stored, but no trace rows are written and no error is returned.
Trace logging is additionally suppressed for the entire turn, without
error, when any table in the agent's datasource carries row-level
security, column-level security or policy tags. It is also suppressed
when that determination cannot be made, for example when the caller
lacks permission to list a table's row access policies.
Trace rows are written only when this is true and
bigquery_agent_analytics_table is set. On a BigQuery agent, enabling
this without a table has no effect: no table is created for the agent
and no rows are written. On an agent whose datasource is not BigQuery,
CreateDataAgent and UpdateDataAgent reject setting this field to
true or setting bigquery_agent_analytics_table with
INVALID_ARGUMENT. See bigquery_agent_analytics_table for when this
is checked.
This setting is independent of the project-level BigQuery Agent Analytics
setting configured through SetAgentOpsObservability. An agent does not
inherit that setting.
Returns
Type
Description
bool
hasBigqueryAgentAnalyticsEnabled
clearBigqueryAgentAnalyticsEnabled
setBigqueryAgentAnalyticsEnabled
Optional. Controls whether BigQuery Agent Analytics trace logging is
enabled for the agent.
BigQuery Agent Analytics is in Preview and is delivered to enrolled
projects only. In a project that is not enrolled this field is accepted
and stored, but no trace rows are written and no error is returned.
Trace logging is additionally suppressed for the entire turn, without
error, when any table in the agent's datasource carries row-level
security, column-level security or policy tags. It is also suppressed
when that determination cannot be made, for example when the caller
lacks permission to list a table's row access policies.
Trace rows are written only when this is true and
bigquery_agent_analytics_table is set. On a BigQuery agent, enabling
this without a table has no effect: no table is created for the agent
and no rows are written. On an agent whose datasource is not BigQuery,
CreateDataAgent and UpdateDataAgent reject setting this field to
true or setting bigquery_agent_analytics_table with
INVALID_ARGUMENT. See bigquery_agent_analytics_table for when this
is checked.
This setting is independent of the project-level BigQuery Agent Analytics
setting configured through SetAgentOpsObservability. An agent does not
inherit that setting.
Parameter
Name
Description
var
bool
Returns
Type
Description
$this
getBigqueryAgentAnalyticsTable
Optional. The BigQuery table that BigQuery Agent Analytics trace rows are
written to. Has no effect unless bigquery_agent_analytics_enabled is
true. The Preview enrollment described on that field applies here too.
The trace table is validated when it is set on CreateDataAgent, or when
an UpdateDataAgent call writes a table to it. An UpdateDataAgent call
writes a field if the field is in update_mask or, when update_mask is
omitted, if the field is present in the request, even if its value is
unchanged. An update that only clears this field is not validated. The
following are rejected with INVALID_ARGUMENT:
The table must belong to the same project as the agent.
The agent's datasource must be BigQuery. BigQuery Agent Analytics is not
supported for Looker, Looker Studio or AlloyDB agents.
On CreateDataAgent, the datasource is validated against the agent in
the request. On UpdateDataAgent, it is validated against the stored
agent after applying the update whenever the call writes a table to this
field or writes true to bigquery_agent_analytics_enabled. For example,
an UpdateDataAgent call without update_mask that carries an unchanged
bigquery_agent_analytics_enabled = true is rejected on an agent whose
datasource is not BigQuery. An agent that carries no datasource is not
validated, and an agent switched to a non-BigQuery datasource by an update
that does neither is not re-validated; in the latter case no trace rows
are written.
The destination dataset must already exist and must grant write access to
the project's Gemini Data Analytics service agent, whose address is
service-PROJECT_NUMBER\@gcp-sa-geminidataanalytics.iam.gserviceaccount.com
(that grant is not performed on your behalf). Without it the agent answers
normally and no trace rows are written.
Changing the table on an existing agent affects subsequent turns only. Rows
already written to the previous table are left in place.
Optional. The BigQuery table that BigQuery Agent Analytics trace rows are
written to. Has no effect unless bigquery_agent_analytics_enabled is
true. The Preview enrollment described on that field applies here too.
The trace table is validated when it is set on CreateDataAgent, or when
an UpdateDataAgent call writes a table to it. An UpdateDataAgent call
writes a field if the field is in update_mask or, when update_mask is
omitted, if the field is present in the request, even if its value is
unchanged. An update that only clears this field is not validated. The
following are rejected with INVALID_ARGUMENT:
The table must belong to the same project as the agent.
The agent's datasource must be BigQuery. BigQuery Agent Analytics is not
supported for Looker, Looker Studio or AlloyDB agents.
On CreateDataAgent, the datasource is validated against the agent in
the request. On UpdateDataAgent, it is validated against the stored
agent after applying the update whenever the call writes a table to this
field or writes true to bigquery_agent_analytics_enabled. For example,
an UpdateDataAgent call without update_mask that carries an unchanged
bigquery_agent_analytics_enabled = true is rejected on an agent whose
datasource is not BigQuery. An agent that carries no datasource is not
validated, and an agent switched to a non-BigQuery datasource by an update
that does neither is not re-validated; in the latter case no trace rows
are written.
The destination dataset must already exist and must grant write access to
the project's Gemini Data Analytics service agent, whose address is
service-PROJECT_NUMBER\@gcp-sa-geminidataanalytics.iam.gserviceaccount.com
(that grant is not performed on your behalf). Without it the agent answers
normally and no trace rows are written.
Changing the table on an existing agent affects subsequent turns only. Rows
already written to the previous table are left in place.