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<div class="section" id="module-airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job">
<span id="airflow-providers-google-cloud-hooks-vertex-ai-batch-prediction-job"></span><h1><a class="reference internal" href="#module-airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job" title="airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job"><code class="xref py py-mod docutils literal notranslate"><span class="pre">airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job</span></code></a><a class="headerlink" href="#module-airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job" title="Permalink to this heading"></a></h1>
<p>This module contains a Google Cloud Vertex AI hook.</p>
<div class="section" id="module-contents">
<h2>Module Contents<a class="headerlink" href="#module-contents" title="Permalink to this heading"></a></h2>
<div class="section" id="classes">
<h3>Classes<a class="headerlink" href="#classes" title="Permalink to this heading"></a></h3>
<table class="autosummary longtable docutils align-default">
<colgroup>
<col style="width: 10%" />
<col style="width: 90%" />
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook" title="airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BatchPredictionJobHook</span></code></a></p></td>
<td><p>Hook for Google Cloud Vertex AI Batch Prediction Job APIs.</p></td>
</tr>
</tbody>
</table>
<dl class="py class">
<dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.</span></span><span class="sig-name descname"><span class="pre">BatchPredictionJobHook</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">gcp_conn_id</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'google_cloud_default'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delegate_to</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">impersonation_chain</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/batch_prediction_job.html#BatchPredictionJobHook"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="../../../../common/hooks/base_google/index.html#airflow.providers.google.common.hooks.base_google.GoogleBaseHook" title="airflow.providers.google.common.hooks.base_google.GoogleBaseHook"><code class="xref py py-obj docutils literal notranslate"><span class="pre">airflow.providers.google.common.hooks.base_google.GoogleBaseHook</span></code></a></p>
<p>Hook for Google Cloud Vertex AI Batch Prediction Job APIs.</p>
<dl class="field-list simple">
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.get_job_service_client">
<span class="sig-name descname"><span class="pre">get_job_service_client</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">region</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/batch_prediction_job.html#BatchPredictionJobHook.get_job_service_client"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.get_job_service_client" title="Permalink to this definition"></a></dt>
<dd><p>Returns JobServiceClient.</p>
<dl class="field-list simple">
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.wait_for_operation">
<span class="sig-name descname"><span class="pre">wait_for_operation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">operation</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/batch_prediction_job.html#BatchPredictionJobHook.wait_for_operation"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.wait_for_operation" title="Permalink to this definition"></a></dt>
<dd><p>Waits for long-lasting operation to complete.</p>
<dl class="field-list simple">
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.extract_batch_prediction_job_id">
<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">extract_batch_prediction_job_id</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">obj</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/batch_prediction_job.html#BatchPredictionJobHook.extract_batch_prediction_job_id"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.extract_batch_prediction_job_id" title="Permalink to this definition"></a></dt>
<dd><p>Returns unique id of the batch_prediction_job.</p>
<dl class="field-list simple">
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.cancel_batch_prediction_job">
<span class="sig-name descname"><span class="pre">cancel_batch_prediction_job</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/batch_prediction_job.html#BatchPredictionJobHook.cancel_batch_prediction_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.cancel_batch_prediction_job" title="Permalink to this definition"></a></dt>
<dd><p>Cancel BatchPredictionJob</p>
<dl class="field-list simple">
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.create_batch_prediction_job">
<span class="sig-name descname"><span class="pre">create_batch_prediction_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">project_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">job_display_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">instances_format</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'jsonl'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predictions_format</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'jsonl'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gcs_source</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bigquery_source</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gcs_destination_prefix</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bigquery_destination_prefix</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_parameters</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">machine_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">accelerator_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">accelerator_count</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">starting_replica_count</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_replica_count</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">generate_explanation</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">explanation_metadata</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">explanation_parameters</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">encryption_spec_key_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sync</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/batch_prediction_job.html#BatchPredictionJobHook.create_batch_prediction_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.create_batch_prediction_job" title="Permalink to this definition"></a></dt>
<dd><p>Create a batch prediction job.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. Project to run training in.</p></li>
<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. Location to run training in.</p></li>
<li><p><strong>job_display_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The user-defined name of the BatchPredictionJob. The name can be
up to 128 characters long and can be consist of any UTF-8 characters.</p></li>
<li><p><strong>model_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>Model</em>) – Required. A fully-qualified model resource name or model ID.</p></li>
<li><p><strong>instances_format</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The format in which instances are provided. Must be one of the
formats listed in <cite>Model.supported_input_storage_formats</cite>. Default is “jsonl” when using
<cite>gcs_source</cite>. If a <cite>bigquery_source</cite> is provided, this is overridden to “bigquery”.</p></li>
<li><p><strong>predictions_format</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The format in which Vertex AI outputs the predictions, must be
one of the formats specified in <cite>Model.supported_output_storage_formats</cite>. Default is “jsonl” when
using <cite>gcs_destination_prefix</cite>. If a <cite>bigquery_destination_prefix</cite> is provided, this is
overridden to “bigquery”.</p></li>
<li><p><strong>gcs_source</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>] </em><em>| </em><em>None</em>) – Google Cloud Storage URI(-s) to your instances to run batch prediction on. They
must match <cite>instances_format</cite>. May contain wildcards. For more information on wildcards, see
<a class="reference external" href="https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames">https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames</a>.</p></li>
<li><p><strong>bigquery_source</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – BigQuery URI to a table, up to 2000 characters long.
For example: <cite>bq://projectId.bqDatasetId.bqTableId</cite></p></li>
<li><p><strong>gcs_destination_prefix</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – The Google Cloud Storage location of the directory where the output is
to be written to. In the given directory a new directory is created. Its name is
<code class="docutils literal notranslate"><span class="pre">prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;</span></code>, where timestamp is in
YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. Inside of it files <code class="docutils literal notranslate"><span class="pre">predictions_0001.&lt;extension&gt;</span></code>,
<code class="docutils literal notranslate"><span class="pre">predictions_0002.&lt;extension&gt;</span></code>, …, <code class="docutils literal notranslate"><span class="pre">predictions_N.&lt;extension&gt;</span></code> are created where
<code class="docutils literal notranslate"><span class="pre">&lt;extension&gt;</span></code> depends on chosen <code class="docutils literal notranslate"><span class="pre">predictions_format</span></code>, and N may equal 0001 and depends on the
total number of successfully predicted instances. If the Model has both <code class="docutils literal notranslate"><span class="pre">instance</span></code> and
<code class="docutils literal notranslate"><span class="pre">prediction</span></code> schemata defined then each such file contains predictions as per the
<code class="docutils literal notranslate"><span class="pre">predictions_format</span></code>. If prediction for any instance failed (partially or completely), then an
additional <code class="docutils literal notranslate"><span class="pre">errors_0001.&lt;extension&gt;</span></code>, <code class="docutils literal notranslate"><span class="pre">errors_0002.&lt;extension&gt;</span></code>,…, <code class="docutils literal notranslate"><span class="pre">errors_N.&lt;extension&gt;</span></code>
files are created (N depends on total number of failed predictions). These files contain the
failed instances, as per their schema, followed by an additional <code class="docutils literal notranslate"><span class="pre">error</span></code> field which as value
has <code class="docutils literal notranslate"><span class="pre">`google.rpc.Status</span></code> &lt;Status&gt;`__ containing only <code class="docutils literal notranslate"><span class="pre">code</span></code> and <code class="docutils literal notranslate"><span class="pre">message</span></code> fields.</p></li>
<li><p><strong>bigquery_destination_prefix</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – The BigQuery project location where the output is to be written
to. In the given project a new dataset is created with name
<code class="docutils literal notranslate"><span class="pre">prediction_&lt;model-display-name&gt;_&lt;job-create-time&gt;</span></code> where is made BigQuery-dataset-name
compatible (for example, most special characters become underscores), and timestamp is in
YYYY_MM_DDThh_mm_ss_sssZ “based on ISO-8601” format. In the dataset two tables will be created,
<code class="docutils literal notranslate"><span class="pre">predictions</span></code>, and <code class="docutils literal notranslate"><span class="pre">errors</span></code>. If the Model has both <code class="docutils literal notranslate"><span class="pre">instance</span></code> and <code class="docutils literal notranslate"><span class="pre">prediction</span></code> schemata
defined then the tables have columns as follows: The <code class="docutils literal notranslate"><span class="pre">predictions</span></code> table contains instances for
which the prediction succeeded, it has columns as per a concatenation of the Model’s instance and
prediction schemata. The <code class="docutils literal notranslate"><span class="pre">errors</span></code> table contains rows for which the prediction has failed, it
has instance columns, as per the instance schema, followed by a single “errors” column, which as
values has <code class="docutils literal notranslate"><span class="pre">`google.rpc.Status</span></code> &lt;Status&gt;`__ represented as a STRUCT, and containing only
<code class="docutils literal notranslate"><span class="pre">code</span></code> and <code class="docutils literal notranslate"><span class="pre">message</span></code>.</p></li>
<li><p><strong>model_parameters</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.10)"><em>dict</em></a><em> | </em><em>None</em>) – The parameters that govern the predictions. The schema of the parameters may
be specified via the Model’s <cite>parameters_schema_uri</cite>.</p></li>
<li><p><strong>machine_type</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – The type of machine for running batch prediction on dedicated resources. Not
specifying machine type will result in batch prediction job being run with automatic resources.</p></li>
<li><p><strong>accelerator_type</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – The type of accelerator(s) that may be attached to the machine as per
<cite>accelerator_count</cite>. Only used if <cite>machine_type</cite> is set.</p></li>
<li><p><strong>accelerator_count</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a><em> | </em><em>None</em>) – The number of accelerators to attach to the <cite>machine_type</cite>. Only used if
<cite>machine_type</cite> is set.</p></li>
<li><p><strong>starting_replica_count</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a><em> | </em><em>None</em>) – The number of machine replicas used at the start of the batch
operation. If not set, Vertex AI decides starting number, not greater than <cite>max_replica_count</cite>.
Only used if <cite>machine_type</cite> is set.</p></li>
<li><p><strong>max_replica_count</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a><em> | </em><em>None</em>) – The maximum number of machine replicas the batch operation may be scaled
to. Only used if <cite>machine_type</cite> is set. Default is 10.</p></li>
<li><p><strong>generate_explanation</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.10)"><em>bool</em></a><em> | </em><em>None</em>) – Optional. Generate explanation along with the batch prediction results.
This will cause the batch prediction output to include explanations based on the
<cite>prediction_format</cite>:
- <cite>bigquery</cite>: output includes a column named <cite>explanation</cite>. The value is a struct that conforms
to the [aiplatform.gapic.Explanation] object.
- <cite>jsonl</cite>: The JSON objects on each line include an additional entry keyed <cite>explanation</cite>. The
value of the entry is a JSON object that conforms to the [aiplatform.gapic.Explanation] object.
- <cite>csv</cite>: Generating explanations for CSV format is not supported.</p></li>
<li><p><strong>explanation_metadata</strong> (<em>explain.ExplanationMetadata</em><em> | </em><em>None</em>) – Optional. Explanation metadata configuration for this
BatchPredictionJob. Can be specified only if <cite>generate_explanation</cite> is set to <cite>True</cite>.
This value overrides the value of <cite>Model.explanation_metadata</cite>. All fields of
<cite>explanation_metadata</cite> are optional in the request. If a field of the <cite>explanation_metadata</cite>
object is not populated, the corresponding field of the <cite>Model.explanation_metadata</cite> object is
inherited. For more details, see <cite>Ref docs &lt;http://tinyurl.com/1igh60kt&gt;</cite></p></li>
<li><p><strong>explanation_parameters</strong> (<em>explain.ExplanationParameters</em><em> | </em><em>None</em>) – Optional. Parameters to configure explaining for Model’s predictions.
Can be specified only if <cite>generate_explanation</cite> is set to <cite>True</cite>.
This value overrides the value of <cite>Model.explanation_parameters</cite>. All fields of
<cite>explanation_parameters</cite> are optional in the request. If a field of the <cite>explanation_parameters</cite>
object is not populated, the corresponding field of the <cite>Model.explanation_parameters</cite> object is
inherited. For more details, see <cite>Ref docs &lt;http://tinyurl.com/1an4zake&gt;</cite></p></li>
<li><p><strong>labels</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.10)"><em>dict</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>] </em><em>| </em><em>None</em>) – Optional. The labels with user-defined metadata to organize your BatchPredictionJobs.
Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain
lowercase letters, numeric characters, underscores and dashes. International characters are
allowed. See <a class="reference external" href="https://goo.gl/xmQnxf">https://goo.gl/xmQnxf</a> for more information and examples of labels.</p></li>
<li><p><strong>encryption_spec_key_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Optional. The Cloud KMS resource identifier of the customer managed
encryption key used to protect the job. Has the form:
<code class="docutils literal notranslate"><span class="pre">projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key</span></code>. The key needs to be
in the same region as where the compute resource is created.
If this is set, then all resources created by the BatchPredictionJob will be encrypted with the
provided encryption key.
Overrides encryption_spec_key_name set in aiplatform.init.</p></li>
<li><p><strong>sync</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.10)"><em>bool</em></a>) – Whether to execute this method synchronously. If False, this method will be executed in
concurrent Future and any downstream object will be immediately returned and synced when the
Future has completed.</p></li>
</ul>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.delete_batch_prediction_job">
<span class="sig-name descname"><span class="pre">delete_batch_prediction_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">project_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_prediction_job</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">retry</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">DEFAULT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/batch_prediction_job.html#BatchPredictionJobHook.delete_batch_prediction_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.delete_batch_prediction_job" title="Permalink to this definition"></a></dt>
<dd><p>Deletes a BatchPredictionJob. Can only be called on jobs that already finished.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud project that the service belongs to.</p></li>
<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud region that the service belongs to.</p></li>
<li><p><strong>batch_prediction_job</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – The name of the BatchPredictionJob resource to be deleted.</p></li>
<li><p><strong>retry</strong> (<em>Retry</em><em> | </em><em>_MethodDefault</em>) – Designation of what errors, if any, should be retried.</p></li>
<li><p><strong>timeout</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – The timeout for this request.</p></li>
<li><p><strong>metadata</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.10)"><em>tuple</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>]</em><em>]</em>) – Strings which should be sent along with the request as metadata.</p></li>
</ul>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.get_batch_prediction_job">
<span class="sig-name descname"><span class="pre">get_batch_prediction_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">project_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_prediction_job</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">retry</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">DEFAULT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/batch_prediction_job.html#BatchPredictionJobHook.get_batch_prediction_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.get_batch_prediction_job" title="Permalink to this definition"></a></dt>
<dd><p>Gets a BatchPredictionJob</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud project that the service belongs to.</p></li>
<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud region that the service belongs to.</p></li>
<li><p><strong>batch_prediction_job</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The name of the BatchPredictionJob resource.</p></li>
<li><p><strong>retry</strong> (<em>Retry</em><em> | </em><em>_MethodDefault</em>) – Designation of what errors, if any, should be retried.</p></li>
<li><p><strong>timeout</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – The timeout for this request.</p></li>
<li><p><strong>metadata</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.10)"><em>tuple</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>]</em><em>]</em>) – Strings which should be sent along with the request as metadata.</p></li>
</ul>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.list_batch_prediction_jobs">
<span class="sig-name descname"><span class="pre">list_batch_prediction_jobs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">project_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">region</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">page_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">page_token</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">read_mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">retry</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">DEFAULT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../../_modules/airflow/providers/google/cloud/hooks/vertex_ai/batch_prediction_job.html#BatchPredictionJobHook.list_batch_prediction_jobs"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.list_batch_prediction_jobs" title="Permalink to this definition"></a></dt>
<dd><p>Lists BatchPredictionJobs in a Location.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud project that the service belongs to.</p></li>
<li><p><strong>region</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – Required. The ID of the Google Cloud region that the service belongs to.</p></li>
<li><p><strong>filter</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – The standard list filter.
Supported fields:
- <code class="docutils literal notranslate"><span class="pre">display_name</span></code> supports = and !=.
- <code class="docutils literal notranslate"><span class="pre">state</span></code> supports = and !=.
- <code class="docutils literal notranslate"><span class="pre">model_display_name</span></code> supports = and !=
Some examples of using the filter are:
- <code class="docutils literal notranslate"><span class="pre">state=&quot;JOB_STATE_SUCCEEDED&quot;</span> <span class="pre">AND</span> <span class="pre">display_name=&quot;my_job&quot;</span></code>
- <code class="docutils literal notranslate"><span class="pre">state=&quot;JOB_STATE_RUNNING&quot;</span> <span class="pre">OR</span> <span class="pre">display_name=&quot;my_job&quot;</span></code>
- <code class="docutils literal notranslate"><span class="pre">NOT</span> <span class="pre">display_name=&quot;my_job&quot;</span></code>
- <code class="docutils literal notranslate"><span class="pre">state=&quot;JOB_STATE_FAILED&quot;</span></code></p></li>
<li><p><strong>page_size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a><em> | </em><em>None</em>) – The standard list page size.</p></li>
<li><p><strong>page_token</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – The standard list page token.</p></li>
<li><p><strong>read_mask</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em> | </em><em>None</em>) – Mask specifying which fields to read.</p></li>
<li><p><strong>retry</strong> (<em>Retry</em><em> | </em><em>_MethodDefault</em>) – Designation of what errors, if any, should be retried.</p></li>
<li><p><strong>timeout</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.10)"><em>float</em></a><em> | </em><em>None</em>) – The timeout for this request.</p></li>
<li><p><strong>metadata</strong> (<em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.10)"><em>tuple</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a><em>]</em><em>]</em>) – Strings which should be sent along with the request as metadata.</p></li>
</ul>
</dd>
</dl>
</dd></dl>
</dd></dl>
</div>
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<li><a class="reference internal" href="#"><code class="xref py py-mod docutils literal notranslate"><span class="pre">airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job</span></code></a><ul>
<li><a class="reference internal" href="#module-contents">Module Contents</a><ul>
<li><a class="reference internal" href="#classes">Classes</a><ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook"><code class="docutils literal notranslate"><span class="pre">BatchPredictionJobHook</span></code></a><ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.get_job_service_client"><code class="docutils literal notranslate"><span class="pre">BatchPredictionJobHook.get_job_service_client()</span></code></a></li>
<li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.wait_for_operation"><code class="docutils literal notranslate"><span class="pre">BatchPredictionJobHook.wait_for_operation()</span></code></a></li>
<li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.extract_batch_prediction_job_id"><code class="docutils literal notranslate"><span class="pre">BatchPredictionJobHook.extract_batch_prediction_job_id()</span></code></a></li>
<li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.cancel_batch_prediction_job"><code class="docutils literal notranslate"><span class="pre">BatchPredictionJobHook.cancel_batch_prediction_job()</span></code></a></li>
<li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.create_batch_prediction_job"><code class="docutils literal notranslate"><span class="pre">BatchPredictionJobHook.create_batch_prediction_job()</span></code></a></li>
<li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.delete_batch_prediction_job"><code class="docutils literal notranslate"><span class="pre">BatchPredictionJobHook.delete_batch_prediction_job()</span></code></a></li>
<li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.get_batch_prediction_job"><code class="docutils literal notranslate"><span class="pre">BatchPredictionJobHook.get_batch_prediction_job()</span></code></a></li>
<li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.list_batch_prediction_jobs"><code class="docutils literal notranslate"><span class="pre">BatchPredictionJobHook.list_batch_prediction_jobs()</span></code></a></li>
</ul>
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<li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook">BatchPredictionJobHook</a><ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.get_job_service_client">get_job_service_client</a></li>
<li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.wait_for_operation">wait_for_operation</a></li>
<li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.extract_batch_prediction_job_id">extract_batch_prediction_job_id</a></li>
<li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.cancel_batch_prediction_job">cancel_batch_prediction_job</a></li>
<li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.create_batch_prediction_job">create_batch_prediction_job</a></li>
<li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.delete_batch_prediction_job">delete_batch_prediction_job</a></li>
<li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.get_batch_prediction_job">get_batch_prediction_job</a></li>
<li><a class="reference internal" href="#airflow.providers.google.cloud.hooks.vertex_ai.batch_prediction_job.BatchPredictionJobHook.list_batch_prediction_jobs">list_batch_prediction_jobs</a></li>
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