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| <h1>Source code for airflow.providers.google.cloud.operators.mlengine</h1><div class="highlight"><pre> |
| <span></span><span class="c1">#</span> |
| <span class="c1"># Licensed to the Apache Software Foundation (ASF) under one</span> |
| <span class="c1"># or more contributor license agreements. See the NOTICE file</span> |
| <span class="c1"># distributed with this work for additional information</span> |
| <span class="c1"># regarding copyright ownership. The ASF licenses this file</span> |
| <span class="c1"># to you under the Apache License, Version 2.0 (the</span> |
| <span class="c1"># "License"); you may not use this file except in compliance</span> |
| <span class="c1"># with the License. You may obtain a copy of the License at</span> |
| <span class="c1">#</span> |
| <span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span> |
| <span class="c1">#</span> |
| <span class="c1"># Unless required by applicable law or agreed to in writing,</span> |
| <span class="c1"># software distributed under the License is distributed on an</span> |
| <span class="c1"># "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY</span> |
| <span class="c1"># KIND, either express or implied. See the License for the</span> |
| <span class="c1"># specific language governing permissions and limitations</span> |
| <span class="c1"># under the License.</span> |
| <span class="sd">"""This module contains Google Cloud MLEngine operators."""</span> |
| <span class="kn">import</span> <span class="nn">logging</span> |
| <span class="kn">import</span> <span class="nn">re</span> |
| <span class="kn">import</span> <span class="nn">warnings</span> |
| <span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Sequence</span><span class="p">,</span> <span class="n">Union</span> |
| |
| <span class="kn">from</span> <span class="nn">airflow.exceptions</span> <span class="kn">import</span> <span class="n">AirflowException</span> |
| <span class="kn">from</span> <span class="nn">airflow.models</span> <span class="kn">import</span> <span class="n">BaseOperator</span><span class="p">,</span> <span class="n">BaseOperatorLink</span> |
| <span class="kn">from</span> <span class="nn">airflow.models.taskinstance</span> <span class="kn">import</span> <span class="n">TaskInstance</span> |
| <span class="kn">from</span> <span class="nn">airflow.providers.google.cloud.hooks.mlengine</span> <span class="kn">import</span> <span class="n">MLEngineHook</span> |
| <span class="kn">from</span> <span class="nn">airflow.utils.decorators</span> <span class="kn">import</span> <span class="n">apply_defaults</span> |
| |
| <div class="viewcode-block" id="log"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.log">[docs]</a><span class="n">log</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span></div> |
| |
| |
| <div class="viewcode-block" id="_normalize_mlengine_job_id"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine._normalize_mlengine_job_id">[docs]</a><span class="k">def</span> <span class="nf">_normalize_mlengine_job_id</span><span class="p">(</span><span class="n">job_id</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="nb">str</span><span class="p">:</span> |
| <span class="sd">"""</span> |
| <span class="sd"> Replaces invalid MLEngine job_id characters with '_'.</span> |
| |
| <span class="sd"> This also adds a leading 'z' in case job_id starts with an invalid</span> |
| <span class="sd"> character.</span> |
| |
| <span class="sd"> :param job_id: A job_id str that may have invalid characters.</span> |
| <span class="sd"> :type job_id: str:</span> |
| <span class="sd"> :return: A valid job_id representation.</span> |
| <span class="sd"> :rtype: str</span> |
| <span class="sd"> """</span> |
| <span class="c1"># Add a prefix when a job_id starts with a digit or a template</span> |
| <span class="n">match</span> <span class="o">=</span> <span class="n">re</span><span class="o">.</span><span class="n">search</span><span class="p">(</span><span class="sa">r</span><span class="s1">'\d|\{{2}'</span><span class="p">,</span> <span class="n">job_id</span><span class="p">)</span> |
| <span class="k">if</span> <span class="n">match</span> <span class="ow">and</span> <span class="n">match</span><span class="o">.</span><span class="n">start</span><span class="p">()</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span> |
| <span class="n">job</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">'z_</span><span class="si">{</span><span class="n">job_id</span><span class="si">}</span><span class="s1">'</span> |
| <span class="k">else</span><span class="p">:</span> |
| <span class="n">job</span> <span class="o">=</span> <span class="n">job_id</span> |
| |
| <span class="c1"># Clean up 'bad' characters except templates</span> |
| <span class="n">tracker</span> <span class="o">=</span> <span class="mi">0</span> |
| <span class="n">cleansed_job_id</span> <span class="o">=</span> <span class="s1">''</span> |
| <span class="k">for</span> <span class="n">match</span> <span class="ow">in</span> <span class="n">re</span><span class="o">.</span><span class="n">finditer</span><span class="p">(</span><span class="sa">r</span><span class="s1">'\{{2}.+?\}</span><span class="si">{2}</span><span class="s1">'</span><span class="p">,</span> <span class="n">job</span><span class="p">):</span> |
| <span class="n">cleansed_job_id</span> <span class="o">+=</span> <span class="n">re</span><span class="o">.</span><span class="n">sub</span><span class="p">(</span><span class="sa">r</span><span class="s1">'[^0-9a-zA-Z]+'</span><span class="p">,</span> <span class="s1">'_'</span><span class="p">,</span> <span class="n">job</span><span class="p">[</span><span class="n">tracker</span> <span class="p">:</span> <span class="n">match</span><span class="o">.</span><span class="n">start</span><span class="p">()])</span> |
| <span class="n">cleansed_job_id</span> <span class="o">+=</span> <span class="n">job</span><span class="p">[</span><span class="n">match</span><span class="o">.</span><span class="n">start</span><span class="p">()</span> <span class="p">:</span> <span class="n">match</span><span class="o">.</span><span class="n">end</span><span class="p">()]</span> |
| <span class="n">tracker</span> <span class="o">=</span> <span class="n">match</span><span class="o">.</span><span class="n">end</span><span class="p">()</span> |
| |
| <span class="c1"># Clean up last substring or the full string if no templates</span> |
| <span class="n">cleansed_job_id</span> <span class="o">+=</span> <span class="n">re</span><span class="o">.</span><span class="n">sub</span><span class="p">(</span><span class="sa">r</span><span class="s1">'[^0-9a-zA-Z]+'</span><span class="p">,</span> <span class="s1">'_'</span><span class="p">,</span> <span class="n">job</span><span class="p">[</span><span class="n">tracker</span><span class="p">:])</span> |
| |
| <span class="k">return</span> <span class="n">cleansed_job_id</span></div> |
| |
| |
| <span class="c1"># pylint: disable=too-many-instance-attributes</span> |
| <div class="viewcode-block" id="MLEngineStartBatchPredictionJobOperator"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineStartBatchPredictionJobOperator">[docs]</a><span class="k">class</span> <span class="nc">MLEngineStartBatchPredictionJobOperator</span><span class="p">(</span><span class="n">BaseOperator</span><span class="p">):</span> |
| <span class="sd">"""</span> |
| <span class="sd"> Start a Google Cloud ML Engine prediction job.</span> |
| |
| <span class="sd"> .. seealso::</span> |
| <span class="sd"> For more information on how to use this operator, take a look at the guide:</span> |
| <span class="sd"> :ref:`howto/operator:MLEngineStartBatchPredictionJobOperator`</span> |
| |
| <span class="sd"> NOTE: For model origin, users should consider exactly one from the</span> |
| <span class="sd"> three options below:</span> |
| |
| <span class="sd"> 1. Populate ``uri`` field only, which should be a GCS location that</span> |
| <span class="sd"> points to a tensorflow savedModel directory.</span> |
| <span class="sd"> 2. Populate ``model_name`` field only, which refers to an existing</span> |
| <span class="sd"> model, and the default version of the model will be used.</span> |
| <span class="sd"> 3. Populate both ``model_name`` and ``version_name`` fields, which</span> |
| <span class="sd"> refers to a specific version of a specific model.</span> |
| |
| <span class="sd"> In options 2 and 3, both model and version name should contain the</span> |
| <span class="sd"> minimal identifier. For instance, call::</span> |
| |
| <span class="sd"> MLEngineBatchPredictionOperator(</span> |
| <span class="sd"> ...,</span> |
| <span class="sd"> model_name='my_model',</span> |
| <span class="sd"> version_name='my_version',</span> |
| <span class="sd"> ...)</span> |
| |
| <span class="sd"> if the desired model version is</span> |
| <span class="sd"> ``projects/my_project/models/my_model/versions/my_version``.</span> |
| |
| <span class="sd"> See https://cloud.google.com/ml-engine/reference/rest/v1/projects.jobs</span> |
| <span class="sd"> for further documentation on the parameters.</span> |
| |
| <span class="sd"> :param job_id: A unique id for the prediction job on Google Cloud</span> |
| <span class="sd"> ML Engine. (templated)</span> |
| <span class="sd"> :type job_id: str</span> |
| <span class="sd"> :param data_format: The format of the input data.</span> |
| <span class="sd"> It will default to 'DATA_FORMAT_UNSPECIFIED' if is not provided</span> |
| <span class="sd"> or is not one of ["TEXT", "TF_RECORD", "TF_RECORD_GZIP"].</span> |
| <span class="sd"> :type data_format: str</span> |
| <span class="sd"> :param input_paths: A list of GCS paths of input data for batch</span> |
| <span class="sd"> prediction. Accepting wildcard operator ``*``, but only at the end. (templated)</span> |
| <span class="sd"> :type input_paths: list[str]</span> |
| <span class="sd"> :param output_path: The GCS path where the prediction results are</span> |
| <span class="sd"> written to. (templated)</span> |
| <span class="sd"> :type output_path: str</span> |
| <span class="sd"> :param region: The Google Compute Engine region to run the</span> |
| <span class="sd"> prediction job in. (templated)</span> |
| <span class="sd"> :type region: str</span> |
| <span class="sd"> :param model_name: The Google Cloud ML Engine model to use for prediction.</span> |
| <span class="sd"> If version_name is not provided, the default version of this</span> |
| <span class="sd"> model will be used.</span> |
| <span class="sd"> Should not be None if version_name is provided.</span> |
| <span class="sd"> Should be None if uri is provided. (templated)</span> |
| <span class="sd"> :type model_name: str</span> |
| <span class="sd"> :param version_name: The Google Cloud ML Engine model version to use for</span> |
| <span class="sd"> prediction.</span> |
| <span class="sd"> Should be None if uri is provided. (templated)</span> |
| <span class="sd"> :type version_name: str</span> |
| <span class="sd"> :param uri: The GCS path of the saved model to use for prediction.</span> |
| <span class="sd"> Should be None if model_name is provided.</span> |
| <span class="sd"> It should be a GCS path pointing to a tensorflow SavedModel. (templated)</span> |
| <span class="sd"> :type uri: str</span> |
| <span class="sd"> :param max_worker_count: The maximum number of workers to be used</span> |
| <span class="sd"> for parallel processing. Defaults to 10 if not specified. Should be a</span> |
| <span class="sd"> string representing the worker count ("10" instead of 10, "50" instead</span> |
| <span class="sd"> of 50, etc.)</span> |
| <span class="sd"> :type max_worker_count: str</span> |
| <span class="sd"> :param runtime_version: The Google Cloud ML Engine runtime version to use</span> |
| <span class="sd"> for batch prediction.</span> |
| <span class="sd"> :type runtime_version: str</span> |
| <span class="sd"> :param signature_name: The name of the signature defined in the SavedModel</span> |
| <span class="sd"> to use for this job.</span> |
| <span class="sd"> :type signature_name: str</span> |
| <span class="sd"> :param project_id: The Google Cloud project name where the prediction job is submitted.</span> |
| <span class="sd"> If set to None or missing, the default project_id from the Google Cloud connection is used.</span> |
| <span class="sd"> (templated)</span> |
| <span class="sd"> :type project_id: str</span> |
| <span class="sd"> :param gcp_conn_id: The connection ID used for connection to Google</span> |
| <span class="sd"> Cloud Platform.</span> |
| <span class="sd"> :type gcp_conn_id: str</span> |
| <span class="sd"> :param delegate_to: The account to impersonate using domain-wide delegation of authority,</span> |
| <span class="sd"> if any. For this to work, the service account making the request must have</span> |
| <span class="sd"> domain-wide delegation enabled.</span> |
| <span class="sd"> :type delegate_to: str</span> |
| <span class="sd"> :param labels: a dictionary containing labels for the job; passed to BigQuery</span> |
| <span class="sd"> :type labels: Dict[str, str]</span> |
| <span class="sd"> :param impersonation_chain: Optional service account to impersonate using short-term</span> |
| <span class="sd"> credentials, or chained list of accounts required to get the access_token</span> |
| <span class="sd"> of the last account in the list, which will be impersonated in the request.</span> |
| <span class="sd"> If set as a string, the account must grant the originating account</span> |
| <span class="sd"> the Service Account Token Creator IAM role.</span> |
| <span class="sd"> If set as a sequence, the identities from the list must grant</span> |
| <span class="sd"> Service Account Token Creator IAM role to the directly preceding identity, with first</span> |
| <span class="sd"> account from the list granting this role to the originating account (templated).</span> |
| <span class="sd"> :type impersonation_chain: Union[str, Sequence[str]]</span> |
| |
| <span class="sd"> :raises: ``ValueError``: if a unique model/version origin cannot be</span> |
| <span class="sd"> determined.</span> |
| <span class="sd"> """</span> |
| |
| <div class="viewcode-block" id="MLEngineStartBatchPredictionJobOperator.template_fields"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineStartBatchPredictionJobOperator.template_fields">[docs]</a> <span class="n">template_fields</span> <span class="o">=</span> <span class="p">[</span> |
| <span class="s1">'_project_id'</span><span class="p">,</span> |
| <span class="s1">'_job_id'</span><span class="p">,</span> |
| <span class="s1">'_region'</span><span class="p">,</span> |
| <span class="s1">'_input_paths'</span><span class="p">,</span> |
| <span class="s1">'_output_path'</span><span class="p">,</span> |
| <span class="s1">'_model_name'</span><span class="p">,</span> |
| <span class="s1">'_version_name'</span><span class="p">,</span> |
| <span class="s1">'_uri'</span><span class="p">,</span> |
| <span class="s1">'_impersonation_chain'</span><span class="p">,</span></div> |
| <span class="p">]</span> |
| |
| <span class="nd">@apply_defaults</span> |
| <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span> |
| <span class="bp">self</span><span class="p">,</span> <span class="c1"># pylint: disable=too-many-arguments</span> |
| <span class="o">*</span><span class="p">,</span> |
| <span class="n">job_id</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> |
| <span class="n">region</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> |
| <span class="n">data_format</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> |
| <span class="n">input_paths</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> |
| <span class="n">output_path</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> |
| <span class="n">model_name</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">version_name</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">uri</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">max_worker_count</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">runtime_version</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">signature_name</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">gcp_conn_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'google_cloud_default'</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">labels</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">str</span><span class="p">]]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span> |
| <span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> |
| |
| <span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span> <span class="o">=</span> <span class="n">project_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_job_id</span> <span class="o">=</span> <span class="n">job_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_region</span> <span class="o">=</span> <span class="n">region</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_data_format</span> <span class="o">=</span> <span class="n">data_format</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_input_paths</span> <span class="o">=</span> <span class="n">input_paths</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_output_path</span> <span class="o">=</span> <span class="n">output_path</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span> <span class="o">=</span> <span class="n">model_name</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_version_name</span> <span class="o">=</span> <span class="n">version_name</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_uri</span> <span class="o">=</span> <span class="n">uri</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_max_worker_count</span> <span class="o">=</span> <span class="n">max_worker_count</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_runtime_version</span> <span class="o">=</span> <span class="n">runtime_version</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_signature_name</span> <span class="o">=</span> <span class="n">signature_name</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span> <span class="o">=</span> <span class="n">gcp_conn_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span> <span class="o">=</span> <span class="n">delegate_to</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_labels</span> <span class="o">=</span> <span class="n">labels</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span> <span class="o">=</span> <span class="n">impersonation_chain</span> |
| |
| <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">AirflowException</span><span class="p">(</span><span class="s1">'Google Cloud project id is required.'</span><span class="p">)</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_job_id</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">AirflowException</span><span class="p">(</span><span class="s1">'An unique job id is required for Google MLEngine prediction job.'</span><span class="p">)</span> |
| |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_uri</span><span class="p">:</span> |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_version_name</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">AirflowException</span><span class="p">(</span> |
| <span class="s1">'Ambiguous model origin: Both uri and model/version name are provided.'</span> |
| <span class="p">)</span> |
| |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_version_name</span> <span class="ow">and</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">AirflowException</span><span class="p">(</span> |
| <span class="s1">'Missing model: Batch prediction expects a model name when a version name is provided.'</span> |
| <span class="p">)</span> |
| |
| <span class="k">if</span> <span class="ow">not</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_uri</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span><span class="p">):</span> |
| <span class="k">raise</span> <span class="n">AirflowException</span><span class="p">(</span> |
| <span class="s1">'Missing model origin: Batch prediction expects a model, '</span> |
| <span class="s1">'a model & version combination, or a URI to a savedModel.'</span> |
| <span class="p">)</span> |
| |
| <div class="viewcode-block" id="MLEngineStartBatchPredictionJobOperator.execute"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineStartBatchPredictionJobOperator.execute">[docs]</a> <span class="k">def</span> <span class="nf">execute</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">context</span><span class="p">):</span> |
| <span class="n">job_id</span> <span class="o">=</span> <span class="n">_normalize_mlengine_job_id</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_job_id</span><span class="p">)</span> |
| <span class="n">prediction_request</span> <span class="o">=</span> <span class="p">{</span> |
| <span class="s1">'jobId'</span><span class="p">:</span> <span class="n">job_id</span><span class="p">,</span> |
| <span class="s1">'predictionInput'</span><span class="p">:</span> <span class="p">{</span> |
| <span class="s1">'dataFormat'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_data_format</span><span class="p">,</span> |
| <span class="s1">'inputPaths'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_input_paths</span><span class="p">,</span> |
| <span class="s1">'outputPath'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_output_path</span><span class="p">,</span> |
| <span class="s1">'region'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_region</span><span class="p">,</span> |
| <span class="p">},</span> |
| <span class="p">}</span> |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_labels</span><span class="p">:</span> |
| <span class="n">prediction_request</span><span class="p">[</span><span class="s1">'labels'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_labels</span> |
| |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_uri</span><span class="p">:</span> |
| <span class="n">prediction_request</span><span class="p">[</span><span class="s1">'predictionInput'</span><span class="p">][</span><span class="s1">'uri'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_uri</span> |
| <span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span><span class="p">:</span> |
| <span class="n">origin_name</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">'projects/</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span><span class="si">}</span><span class="s1">/models/</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span><span class="si">}</span><span class="s1">'</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_version_name</span><span class="p">:</span> |
| <span class="n">prediction_request</span><span class="p">[</span><span class="s1">'predictionInput'</span><span class="p">][</span><span class="s1">'modelName'</span><span class="p">]</span> <span class="o">=</span> <span class="n">origin_name</span> |
| <span class="k">else</span><span class="p">:</span> |
| <span class="n">prediction_request</span><span class="p">[</span><span class="s1">'predictionInput'</span><span class="p">][</span><span class="s1">'versionName'</span><span class="p">]</span> <span class="o">=</span> <span class="n">origin_name</span> <span class="o">+</span> <span class="s1">'/versions/</span><span class="si">{}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_version_name</span> |
| <span class="p">)</span> |
| |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_max_worker_count</span><span class="p">:</span> |
| <span class="n">prediction_request</span><span class="p">[</span><span class="s1">'predictionInput'</span><span class="p">][</span><span class="s1">'maxWorkerCount'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_max_worker_count</span> |
| |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_runtime_version</span><span class="p">:</span> |
| <span class="n">prediction_request</span><span class="p">[</span><span class="s1">'predictionInput'</span><span class="p">][</span><span class="s1">'runtimeVersion'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_runtime_version</span> |
| |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_signature_name</span><span class="p">:</span> |
| <span class="n">prediction_request</span><span class="p">[</span><span class="s1">'predictionInput'</span><span class="p">][</span><span class="s1">'signatureName'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_signature_name</span> |
| |
| <span class="n">hook</span> <span class="o">=</span> <span class="n">MLEngineHook</span><span class="p">(</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span><span class="p">,</span> <span class="n">impersonation_chain</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span> |
| <span class="p">)</span> |
| |
| <span class="c1"># Helper method to check if the existing job's prediction input is the</span> |
| <span class="c1"># same as the request we get here.</span> |
| <span class="k">def</span> <span class="nf">check_existing_job</span><span class="p">(</span><span class="n">existing_job</span><span class="p">):</span> |
| <span class="k">return</span> <span class="n">existing_job</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'predictionInput'</span><span class="p">)</span> <span class="o">==</span> <span class="n">prediction_request</span><span class="p">[</span><span class="s1">'predictionInput'</span><span class="p">]</span> |
| |
| <span class="n">finished_prediction_job</span> <span class="o">=</span> <span class="n">hook</span><span class="o">.</span><span class="n">create_job</span><span class="p">(</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span><span class="p">,</span> <span class="n">job</span><span class="o">=</span><span class="n">prediction_request</span><span class="p">,</span> <span class="n">use_existing_job_fn</span><span class="o">=</span><span class="n">check_existing_job</span> |
| <span class="p">)</span> |
| |
| <span class="k">if</span> <span class="n">finished_prediction_job</span><span class="p">[</span><span class="s1">'state'</span><span class="p">]</span> <span class="o">!=</span> <span class="s1">'SUCCEEDED'</span><span class="p">:</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="s1">'MLEngine batch prediction job failed: </span><span class="si">%s</span><span class="s1">'</span><span class="p">,</span> <span class="nb">str</span><span class="p">(</span><span class="n">finished_prediction_job</span><span class="p">))</span> |
| <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">finished_prediction_job</span><span class="p">[</span><span class="s1">'errorMessage'</span><span class="p">])</span> |
| |
| <span class="k">return</span> <span class="n">finished_prediction_job</span><span class="p">[</span><span class="s1">'predictionOutput'</span><span class="p">]</span></div></div> |
| |
| |
| <div class="viewcode-block" id="MLEngineManageModelOperator"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineManageModelOperator">[docs]</a><span class="k">class</span> <span class="nc">MLEngineManageModelOperator</span><span class="p">(</span><span class="n">BaseOperator</span><span class="p">):</span> |
| <span class="sd">"""</span> |
| <span class="sd"> Operator for managing a Google Cloud ML Engine model.</span> |
| |
| <span class="sd"> .. warning::</span> |
| <span class="sd"> This operator is deprecated. Consider using operators for specific operations:</span> |
| <span class="sd"> MLEngineCreateModelOperator, MLEngineGetModelOperator.</span> |
| |
| <span class="sd"> :param model: A dictionary containing the information about the model.</span> |
| <span class="sd"> If the `operation` is `create`, then the `model` parameter should</span> |
| <span class="sd"> contain all the information about this model such as `name`.</span> |
| |
| <span class="sd"> If the `operation` is `get`, the `model` parameter</span> |
| <span class="sd"> should contain the `name` of the model.</span> |
| <span class="sd"> :type model: dict</span> |
| <span class="sd"> :param operation: The operation to perform. Available operations are:</span> |
| |
| <span class="sd"> * ``create``: Creates a new model as provided by the `model` parameter.</span> |
| <span class="sd"> * ``get``: Gets a particular model where the name is specified in `model`.</span> |
| <span class="sd"> :type operation: str</span> |
| <span class="sd"> :param project_id: The Google Cloud project name to which MLEngine model belongs.</span> |
| <span class="sd"> If set to None or missing, the default project_id from the Google Cloud connection is used.</span> |
| <span class="sd"> (templated)</span> |
| <span class="sd"> :type project_id: str</span> |
| <span class="sd"> :param gcp_conn_id: The connection ID to use when fetching connection info.</span> |
| <span class="sd"> :type gcp_conn_id: str</span> |
| <span class="sd"> :param delegate_to: The account to impersonate using domain-wide delegation of authority,</span> |
| <span class="sd"> if any. For this to work, the service account making the request must have</span> |
| <span class="sd"> domain-wide delegation enabled.</span> |
| <span class="sd"> :type delegate_to: str</span> |
| <span class="sd"> :param impersonation_chain: Optional service account to impersonate using short-term</span> |
| <span class="sd"> credentials, or chained list of accounts required to get the access_token</span> |
| <span class="sd"> of the last account in the list, which will be impersonated in the request.</span> |
| <span class="sd"> If set as a string, the account must grant the originating account</span> |
| <span class="sd"> the Service Account Token Creator IAM role.</span> |
| <span class="sd"> If set as a sequence, the identities from the list must grant</span> |
| <span class="sd"> Service Account Token Creator IAM role to the directly preceding identity, with first</span> |
| <span class="sd"> account from the list granting this role to the originating account (templated).</span> |
| <span class="sd"> :type impersonation_chain: Union[str, Sequence[str]]</span> |
| <span class="sd"> """</span> |
| |
| <div class="viewcode-block" id="MLEngineManageModelOperator.template_fields"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineManageModelOperator.template_fields">[docs]</a> <span class="n">template_fields</span> <span class="o">=</span> <span class="p">[</span> |
| <span class="s1">'_project_id'</span><span class="p">,</span> |
| <span class="s1">'_model'</span><span class="p">,</span> |
| <span class="s1">'_impersonation_chain'</span><span class="p">,</span></div> |
| <span class="p">]</span> |
| |
| <span class="nd">@apply_defaults</span> |
| <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span> |
| <span class="bp">self</span><span class="p">,</span> |
| <span class="o">*</span><span class="p">,</span> |
| <span class="n">model</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span> |
| <span class="n">operation</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'create'</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">gcp_conn_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'google_cloud_default'</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">str</span><span class="p">]]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span> |
| <span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> |
| |
| <span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span> |
| <span class="s2">"This operator is deprecated. Consider using operators for specific operations: "</span> |
| <span class="s2">"MLEngineCreateModelOperator, MLEngineGetModelOperator."</span><span class="p">,</span> |
| <span class="ne">DeprecationWarning</span><span class="p">,</span> |
| <span class="n">stacklevel</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> |
| <span class="p">)</span> |
| |
| <span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span> <span class="o">=</span> <span class="n">project_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_model</span> <span class="o">=</span> <span class="n">model</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_operation</span> <span class="o">=</span> <span class="n">operation</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span> <span class="o">=</span> <span class="n">gcp_conn_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span> <span class="o">=</span> <span class="n">delegate_to</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span> <span class="o">=</span> <span class="n">impersonation_chain</span> |
| |
| <div class="viewcode-block" id="MLEngineManageModelOperator.execute"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineManageModelOperator.execute">[docs]</a> <span class="k">def</span> <span class="nf">execute</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">context</span><span class="p">):</span> |
| <span class="n">hook</span> <span class="o">=</span> <span class="n">MLEngineHook</span><span class="p">(</span> |
| <span class="n">gcp_conn_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span><span class="p">,</span> |
| <span class="p">)</span> |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_operation</span> <span class="o">==</span> <span class="s1">'create'</span><span class="p">:</span> |
| <span class="k">return</span> <span class="n">hook</span><span class="o">.</span><span class="n">create_model</span><span class="p">(</span><span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span><span class="p">,</span> <span class="n">model</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_model</span><span class="p">)</span> |
| <span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">_operation</span> <span class="o">==</span> <span class="s1">'get'</span><span class="p">:</span> |
| <span class="k">return</span> <span class="n">hook</span><span class="o">.</span><span class="n">get_model</span><span class="p">(</span><span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span><span class="p">,</span> <span class="n">model_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_model</span><span class="p">[</span><span class="s1">'name'</span><span class="p">])</span> |
| <span class="k">else</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Unknown operation: </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_operation</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span></div></div> |
| |
| |
| <div class="viewcode-block" id="MLEngineCreateModelOperator"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateModelOperator">[docs]</a><span class="k">class</span> <span class="nc">MLEngineCreateModelOperator</span><span class="p">(</span><span class="n">BaseOperator</span><span class="p">):</span> |
| <span class="sd">"""</span> |
| <span class="sd"> Creates a new model.</span> |
| |
| <span class="sd"> .. seealso::</span> |
| <span class="sd"> For more information on how to use this operator, take a look at the guide:</span> |
| <span class="sd"> :ref:`howto/operator:MLEngineCreateModelOperator`</span> |
| |
| <span class="sd"> The model should be provided by the `model` parameter.</span> |
| |
| <span class="sd"> :param model: A dictionary containing the information about the model.</span> |
| <span class="sd"> :type model: dict</span> |
| <span class="sd"> :param project_id: The Google Cloud project name to which MLEngine model belongs.</span> |
| <span class="sd"> If set to None or missing, the default project_id from the Google Cloud connection is used.</span> |
| <span class="sd"> (templated)</span> |
| <span class="sd"> :type project_id: str</span> |
| <span class="sd"> :param gcp_conn_id: The connection ID to use when fetching connection info.</span> |
| <span class="sd"> :type gcp_conn_id: str</span> |
| <span class="sd"> :param delegate_to: The account to impersonate using domain-wide delegation of authority,</span> |
| <span class="sd"> if any. For this to work, the service account making the request must have</span> |
| <span class="sd"> domain-wide delegation enabled.</span> |
| <span class="sd"> :type delegate_to: str</span> |
| <span class="sd"> :param impersonation_chain: Optional service account to impersonate using short-term</span> |
| <span class="sd"> credentials, or chained list of accounts required to get the access_token</span> |
| <span class="sd"> of the last account in the list, which will be impersonated in the request.</span> |
| <span class="sd"> If set as a string, the account must grant the originating account</span> |
| <span class="sd"> the Service Account Token Creator IAM role.</span> |
| <span class="sd"> If set as a sequence, the identities from the list must grant</span> |
| <span class="sd"> Service Account Token Creator IAM role to the directly preceding identity, with first</span> |
| <span class="sd"> account from the list granting this role to the originating account (templated).</span> |
| <span class="sd"> :type impersonation_chain: Union[str, Sequence[str]]</span> |
| <span class="sd"> """</span> |
| |
| <div class="viewcode-block" id="MLEngineCreateModelOperator.template_fields"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateModelOperator.template_fields">[docs]</a> <span class="n">template_fields</span> <span class="o">=</span> <span class="p">[</span> |
| <span class="s1">'_project_id'</span><span class="p">,</span> |
| <span class="s1">'_model'</span><span class="p">,</span> |
| <span class="s1">'_impersonation_chain'</span><span class="p">,</span></div> |
| <span class="p">]</span> |
| |
| <span class="nd">@apply_defaults</span> |
| <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span> |
| <span class="bp">self</span><span class="p">,</span> |
| <span class="o">*</span><span class="p">,</span> |
| <span class="n">model</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">gcp_conn_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'google_cloud_default'</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">str</span><span class="p">]]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span> |
| <span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span> <span class="o">=</span> <span class="n">project_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_model</span> <span class="o">=</span> <span class="n">model</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span> <span class="o">=</span> <span class="n">gcp_conn_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span> <span class="o">=</span> <span class="n">delegate_to</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span> <span class="o">=</span> <span class="n">impersonation_chain</span> |
| |
| <div class="viewcode-block" id="MLEngineCreateModelOperator.execute"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateModelOperator.execute">[docs]</a> <span class="k">def</span> <span class="nf">execute</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">context</span><span class="p">):</span> |
| <span class="n">hook</span> <span class="o">=</span> <span class="n">MLEngineHook</span><span class="p">(</span> |
| <span class="n">gcp_conn_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span><span class="p">,</span> |
| <span class="p">)</span> |
| <span class="k">return</span> <span class="n">hook</span><span class="o">.</span><span class="n">create_model</span><span class="p">(</span><span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span><span class="p">,</span> <span class="n">model</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_model</span><span class="p">)</span></div></div> |
| |
| |
| <div class="viewcode-block" id="MLEngineGetModelOperator"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineGetModelOperator">[docs]</a><span class="k">class</span> <span class="nc">MLEngineGetModelOperator</span><span class="p">(</span><span class="n">BaseOperator</span><span class="p">):</span> |
| <span class="sd">"""</span> |
| <span class="sd"> Gets a particular model</span> |
| |
| <span class="sd"> .. seealso::</span> |
| <span class="sd"> For more information on how to use this operator, take a look at the guide:</span> |
| <span class="sd"> :ref:`howto/operator:MLEngineGetModelOperator`</span> |
| |
| <span class="sd"> The name of model should be specified in `model_name`.</span> |
| |
| <span class="sd"> :param model_name: The name of the model.</span> |
| <span class="sd"> :type model_name: str</span> |
| <span class="sd"> :param project_id: The Google Cloud project name to which MLEngine model belongs.</span> |
| <span class="sd"> If set to None or missing, the default project_id from the Google Cloud connection is used.</span> |
| <span class="sd"> (templated)</span> |
| <span class="sd"> :type project_id: str</span> |
| <span class="sd"> :param gcp_conn_id: The connection ID to use when fetching connection info.</span> |
| <span class="sd"> :type gcp_conn_id: str</span> |
| <span class="sd"> :param delegate_to: The account to impersonate using domain-wide delegation of authority,</span> |
| <span class="sd"> if any. For this to work, the service account making the request must have</span> |
| <span class="sd"> domain-wide delegation enabled.</span> |
| <span class="sd"> :type delegate_to: str</span> |
| <span class="sd"> :param impersonation_chain: Optional service account to impersonate using short-term</span> |
| <span class="sd"> credentials, or chained list of accounts required to get the access_token</span> |
| <span class="sd"> of the last account in the list, which will be impersonated in the request.</span> |
| <span class="sd"> If set as a string, the account must grant the originating account</span> |
| <span class="sd"> the Service Account Token Creator IAM role.</span> |
| <span class="sd"> If set as a sequence, the identities from the list must grant</span> |
| <span class="sd"> Service Account Token Creator IAM role to the directly preceding identity, with first</span> |
| <span class="sd"> account from the list granting this role to the originating account (templated).</span> |
| <span class="sd"> :type impersonation_chain: Union[str, Sequence[str]]</span> |
| <span class="sd"> """</span> |
| |
| <div class="viewcode-block" id="MLEngineGetModelOperator.template_fields"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineGetModelOperator.template_fields">[docs]</a> <span class="n">template_fields</span> <span class="o">=</span> <span class="p">[</span> |
| <span class="s1">'_project_id'</span><span class="p">,</span> |
| <span class="s1">'_model_name'</span><span class="p">,</span> |
| <span class="s1">'_impersonation_chain'</span><span class="p">,</span></div> |
| <span class="p">]</span> |
| |
| <span class="nd">@apply_defaults</span> |
| <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span> |
| <span class="bp">self</span><span class="p">,</span> |
| <span class="o">*</span><span class="p">,</span> |
| <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">gcp_conn_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'google_cloud_default'</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">str</span><span class="p">]]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span> |
| <span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span> <span class="o">=</span> <span class="n">project_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span> <span class="o">=</span> <span class="n">model_name</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span> <span class="o">=</span> <span class="n">gcp_conn_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span> <span class="o">=</span> <span class="n">delegate_to</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span> <span class="o">=</span> <span class="n">impersonation_chain</span> |
| |
| <div class="viewcode-block" id="MLEngineGetModelOperator.execute"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineGetModelOperator.execute">[docs]</a> <span class="k">def</span> <span class="nf">execute</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">context</span><span class="p">):</span> |
| <span class="n">hook</span> <span class="o">=</span> <span class="n">MLEngineHook</span><span class="p">(</span> |
| <span class="n">gcp_conn_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span><span class="p">,</span> |
| <span class="p">)</span> |
| <span class="k">return</span> <span class="n">hook</span><span class="o">.</span><span class="n">get_model</span><span class="p">(</span><span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span><span class="p">,</span> <span class="n">model_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span><span class="p">)</span></div></div> |
| |
| |
| <div class="viewcode-block" id="MLEngineDeleteModelOperator"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteModelOperator">[docs]</a><span class="k">class</span> <span class="nc">MLEngineDeleteModelOperator</span><span class="p">(</span><span class="n">BaseOperator</span><span class="p">):</span> |
| <span class="sd">"""</span> |
| <span class="sd"> Deletes a model.</span> |
| |
| <span class="sd"> .. seealso::</span> |
| <span class="sd"> For more information on how to use this operator, take a look at the guide:</span> |
| <span class="sd"> :ref:`howto/operator:MLEngineDeleteModelOperator`</span> |
| |
| <span class="sd"> The model should be provided by the `model_name` parameter.</span> |
| |
| <span class="sd"> :param model_name: The name of the model.</span> |
| <span class="sd"> :type model_name: str</span> |
| <span class="sd"> :param delete_contents: (Optional) Whether to force the deletion even if the models is not empty.</span> |
| <span class="sd"> Will delete all version (if any) in the dataset if set to True.</span> |
| <span class="sd"> The default value is False.</span> |
| <span class="sd"> :type delete_contents: bool</span> |
| <span class="sd"> :param project_id: The Google Cloud project name to which MLEngine model belongs.</span> |
| <span class="sd"> If set to None or missing, the default project_id from the Google Cloud connection is used.</span> |
| <span class="sd"> (templated)</span> |
| <span class="sd"> :type project_id: str</span> |
| <span class="sd"> :param gcp_conn_id: The connection ID to use when fetching connection info.</span> |
| <span class="sd"> :type gcp_conn_id: str</span> |
| <span class="sd"> :param delegate_to: The account to impersonate using domain-wide delegation of authority,</span> |
| <span class="sd"> if any. For this to work, the service account making the request must have</span> |
| <span class="sd"> domain-wide delegation enabled.</span> |
| <span class="sd"> :type delegate_to: str</span> |
| <span class="sd"> :param impersonation_chain: Optional service account to impersonate using short-term</span> |
| <span class="sd"> credentials, or chained list of accounts required to get the access_token</span> |
| <span class="sd"> of the last account in the list, which will be impersonated in the request.</span> |
| <span class="sd"> If set as a string, the account must grant the originating account</span> |
| <span class="sd"> the Service Account Token Creator IAM role.</span> |
| <span class="sd"> If set as a sequence, the identities from the list must grant</span> |
| <span class="sd"> Service Account Token Creator IAM role to the directly preceding identity, with first</span> |
| <span class="sd"> account from the list granting this role to the originating account (templated).</span> |
| <span class="sd"> :type impersonation_chain: Union[str, Sequence[str]]</span> |
| <span class="sd"> """</span> |
| |
| <div class="viewcode-block" id="MLEngineDeleteModelOperator.template_fields"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteModelOperator.template_fields">[docs]</a> <span class="n">template_fields</span> <span class="o">=</span> <span class="p">[</span> |
| <span class="s1">'_project_id'</span><span class="p">,</span> |
| <span class="s1">'_model_name'</span><span class="p">,</span> |
| <span class="s1">'_impersonation_chain'</span><span class="p">,</span></div> |
| <span class="p">]</span> |
| |
| <span class="nd">@apply_defaults</span> |
| <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span> |
| <span class="bp">self</span><span class="p">,</span> |
| <span class="o">*</span><span class="p">,</span> |
| <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> |
| <span class="n">delete_contents</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">gcp_conn_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'google_cloud_default'</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">str</span><span class="p">]]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span> |
| <span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span> <span class="o">=</span> <span class="n">project_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span> <span class="o">=</span> <span class="n">model_name</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_delete_contents</span> <span class="o">=</span> <span class="n">delete_contents</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span> <span class="o">=</span> <span class="n">gcp_conn_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span> <span class="o">=</span> <span class="n">delegate_to</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span> <span class="o">=</span> <span class="n">impersonation_chain</span> |
| |
| <div class="viewcode-block" id="MLEngineDeleteModelOperator.execute"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteModelOperator.execute">[docs]</a> <span class="k">def</span> <span class="nf">execute</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">context</span><span class="p">):</span> |
| <span class="n">hook</span> <span class="o">=</span> <span class="n">MLEngineHook</span><span class="p">(</span> |
| <span class="n">gcp_conn_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span><span class="p">,</span> |
| <span class="p">)</span> |
| |
| <span class="k">return</span> <span class="n">hook</span><span class="o">.</span><span class="n">delete_model</span><span class="p">(</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span><span class="p">,</span> <span class="n">model_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span><span class="p">,</span> <span class="n">delete_contents</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_delete_contents</span></div></div> |
| <span class="p">)</span> |
| |
| |
| <div class="viewcode-block" id="MLEngineManageVersionOperator"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineManageVersionOperator">[docs]</a><span class="k">class</span> <span class="nc">MLEngineManageVersionOperator</span><span class="p">(</span><span class="n">BaseOperator</span><span class="p">):</span> |
| <span class="sd">"""</span> |
| <span class="sd"> Operator for managing a Google Cloud ML Engine version.</span> |
| |
| <span class="sd"> .. warning::</span> |
| <span class="sd"> This operator is deprecated. Consider using operators for specific operations:</span> |
| <span class="sd"> MLEngineCreateVersionOperator, MLEngineSetDefaultVersionOperator,</span> |
| <span class="sd"> MLEngineListVersionsOperator, MLEngineDeleteVersionOperator.</span> |
| |
| <span class="sd"> :param model_name: The name of the Google Cloud ML Engine model that the version</span> |
| <span class="sd"> belongs to. (templated)</span> |
| <span class="sd"> :type model_name: str</span> |
| <span class="sd"> :param version_name: A name to use for the version being operated upon.</span> |
| <span class="sd"> If not None and the `version` argument is None or does not have a value for</span> |
| <span class="sd"> the `name` key, then this will be populated in the payload for the</span> |
| <span class="sd"> `name` key. (templated)</span> |
| <span class="sd"> :type version_name: str</span> |
| <span class="sd"> :param version: A dictionary containing the information about the version.</span> |
| <span class="sd"> If the `operation` is `create`, `version` should contain all the</span> |
| <span class="sd"> information about this version such as name, and deploymentUrl.</span> |
| <span class="sd"> If the `operation` is `get` or `delete`, the `version` parameter</span> |
| <span class="sd"> should contain the `name` of the version.</span> |
| <span class="sd"> If it is None, the only `operation` possible would be `list`. (templated)</span> |
| <span class="sd"> :type version: dict</span> |
| <span class="sd"> :param operation: The operation to perform. Available operations are:</span> |
| |
| <span class="sd"> * ``create``: Creates a new version in the model specified by `model_name`,</span> |
| <span class="sd"> in which case the `version` parameter should contain all the</span> |
| <span class="sd"> information to create that version</span> |
| <span class="sd"> (e.g. `name`, `deploymentUrl`).</span> |
| |
| <span class="sd"> * ``set_defaults``: Sets a version in the model specified by `model_name` to be the default.</span> |
| <span class="sd"> The name of the version should be specified in the `version`</span> |
| <span class="sd"> parameter.</span> |
| |
| <span class="sd"> * ``list``: Lists all available versions of the model specified</span> |
| <span class="sd"> by `model_name`.</span> |
| |
| <span class="sd"> * ``delete``: Deletes the version specified in `version` parameter from the</span> |
| <span class="sd"> model specified by `model_name`).</span> |
| <span class="sd"> The name of the version should be specified in the `version`</span> |
| <span class="sd"> parameter.</span> |
| <span class="sd"> :type operation: str</span> |
| <span class="sd"> :param project_id: The Google Cloud project name to which MLEngine model belongs.</span> |
| <span class="sd"> If set to None or missing, the default project_id from the Google Cloud connection is used.</span> |
| <span class="sd"> (templated)</span> |
| <span class="sd"> :type project_id: str</span> |
| <span class="sd"> :param gcp_conn_id: The connection ID to use when fetching connection info.</span> |
| <span class="sd"> :type gcp_conn_id: str</span> |
| <span class="sd"> :param delegate_to: The account to impersonate using domain-wide delegation of authority,</span> |
| <span class="sd"> if any. For this to work, the service account making the request must have</span> |
| <span class="sd"> domain-wide delegation enabled.</span> |
| <span class="sd"> :type delegate_to: str</span> |
| <span class="sd"> :param impersonation_chain: Optional service account to impersonate using short-term</span> |
| <span class="sd"> credentials, or chained list of accounts required to get the access_token</span> |
| <span class="sd"> of the last account in the list, which will be impersonated in the request.</span> |
| <span class="sd"> If set as a string, the account must grant the originating account</span> |
| <span class="sd"> the Service Account Token Creator IAM role.</span> |
| <span class="sd"> If set as a sequence, the identities from the list must grant</span> |
| <span class="sd"> Service Account Token Creator IAM role to the directly preceding identity, with first</span> |
| <span class="sd"> account from the list granting this role to the originating account (templated).</span> |
| <span class="sd"> :type impersonation_chain: Union[str, Sequence[str]]</span> |
| <span class="sd"> """</span> |
| |
| <div class="viewcode-block" id="MLEngineManageVersionOperator.template_fields"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineManageVersionOperator.template_fields">[docs]</a> <span class="n">template_fields</span> <span class="o">=</span> <span class="p">[</span> |
| <span class="s1">'_project_id'</span><span class="p">,</span> |
| <span class="s1">'_model_name'</span><span class="p">,</span> |
| <span class="s1">'_version_name'</span><span class="p">,</span> |
| <span class="s1">'_version'</span><span class="p">,</span> |
| <span class="s1">'_impersonation_chain'</span><span class="p">,</span></div> |
| <span class="p">]</span> |
| |
| <span class="nd">@apply_defaults</span> |
| <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span> |
| <span class="bp">self</span><span class="p">,</span> |
| <span class="o">*</span><span class="p">,</span> |
| <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> |
| <span class="n">version_name</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">version</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">operation</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'create'</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">gcp_conn_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'google_cloud_default'</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">str</span><span class="p">]]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span> |
| <span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span> <span class="o">=</span> <span class="n">project_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span> <span class="o">=</span> <span class="n">model_name</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_version_name</span> <span class="o">=</span> <span class="n">version_name</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_version</span> <span class="o">=</span> <span class="n">version</span> <span class="ow">or</span> <span class="p">{}</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_operation</span> <span class="o">=</span> <span class="n">operation</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span> <span class="o">=</span> <span class="n">gcp_conn_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span> <span class="o">=</span> <span class="n">delegate_to</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span> <span class="o">=</span> <span class="n">impersonation_chain</span> |
| |
| <span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span> |
| <span class="s2">"This operator is deprecated. Consider using operators for specific operations: "</span> |
| <span class="s2">"MLEngineCreateVersion, MLEngineSetDefaultVersion, MLEngineListVersions, MLEngineDeleteVersion."</span><span class="p">,</span> |
| <span class="ne">DeprecationWarning</span><span class="p">,</span> |
| <span class="n">stacklevel</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> |
| <span class="p">)</span> |
| |
| <div class="viewcode-block" id="MLEngineManageVersionOperator.execute"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineManageVersionOperator.execute">[docs]</a> <span class="k">def</span> <span class="nf">execute</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">context</span><span class="p">):</span> |
| <span class="k">if</span> <span class="s1">'name'</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_version</span><span class="p">:</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_version</span><span class="p">[</span><span class="s1">'name'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_version_name</span> |
| |
| <span class="n">hook</span> <span class="o">=</span> <span class="n">MLEngineHook</span><span class="p">(</span> |
| <span class="n">gcp_conn_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span><span class="p">,</span> |
| <span class="p">)</span> |
| |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_operation</span> <span class="o">==</span> <span class="s1">'create'</span><span class="p">:</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_version</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="sa">f</span><span class="s2">"version attribute of </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s2"> could not be empty"</span><span class="p">)</span> |
| <span class="k">return</span> <span class="n">hook</span><span class="o">.</span><span class="n">create_version</span><span class="p">(</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span><span class="p">,</span> <span class="n">model_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span><span class="p">,</span> <span class="n">version_spec</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_version</span> |
| <span class="p">)</span> |
| <span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">_operation</span> <span class="o">==</span> <span class="s1">'set_default'</span><span class="p">:</span> |
| <span class="k">return</span> <span class="n">hook</span><span class="o">.</span><span class="n">set_default_version</span><span class="p">(</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span><span class="p">,</span> <span class="n">model_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span><span class="p">,</span> <span class="n">version_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_version</span><span class="p">[</span><span class="s1">'name'</span><span class="p">]</span> |
| <span class="p">)</span> |
| <span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">_operation</span> <span class="o">==</span> <span class="s1">'list'</span><span class="p">:</span> |
| <span class="k">return</span> <span class="n">hook</span><span class="o">.</span><span class="n">list_versions</span><span class="p">(</span><span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span><span class="p">,</span> <span class="n">model_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span><span class="p">)</span> |
| <span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">_operation</span> <span class="o">==</span> <span class="s1">'delete'</span><span class="p">:</span> |
| <span class="k">return</span> <span class="n">hook</span><span class="o">.</span><span class="n">delete_version</span><span class="p">(</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span><span class="p">,</span> <span class="n">model_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span><span class="p">,</span> <span class="n">version_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_version</span><span class="p">[</span><span class="s1">'name'</span><span class="p">]</span> |
| <span class="p">)</span> |
| <span class="k">else</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Unknown operation: </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_operation</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span></div></div> |
| |
| |
| <div class="viewcode-block" id="MLEngineCreateVersionOperator"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateVersionOperator">[docs]</a><span class="k">class</span> <span class="nc">MLEngineCreateVersionOperator</span><span class="p">(</span><span class="n">BaseOperator</span><span class="p">):</span> |
| <span class="sd">"""</span> |
| <span class="sd"> Creates a new version in the model</span> |
| |
| <span class="sd"> .. seealso::</span> |
| <span class="sd"> For more information on how to use this operator, take a look at the guide:</span> |
| <span class="sd"> :ref:`howto/operator:MLEngineCreateVersionOperator`</span> |
| |
| <span class="sd"> Model should be specified by `model_name`, in which case the `version` parameter should contain all the</span> |
| <span class="sd"> information to create that version</span> |
| |
| <span class="sd"> :param model_name: The name of the Google Cloud ML Engine model that the version belongs to. (templated)</span> |
| <span class="sd"> :type model_name: str</span> |
| <span class="sd"> :param version: A dictionary containing the information about the version. (templated)</span> |
| <span class="sd"> :type version: dict</span> |
| <span class="sd"> :param project_id: The Google Cloud project name to which MLEngine model belongs.</span> |
| <span class="sd"> If set to None or missing, the default project_id from the Google Cloud connection is used.</span> |
| <span class="sd"> (templated)</span> |
| <span class="sd"> :type project_id: str</span> |
| <span class="sd"> :param gcp_conn_id: The connection ID to use when fetching connection info.</span> |
| <span class="sd"> :type gcp_conn_id: str</span> |
| <span class="sd"> :param delegate_to: The account to impersonate using domain-wide delegation of authority,</span> |
| <span class="sd"> if any. For this to work, the service account making the request must have</span> |
| <span class="sd"> domain-wide delegation enabled.</span> |
| <span class="sd"> :type delegate_to: str</span> |
| <span class="sd"> :param impersonation_chain: Optional service account to impersonate using short-term</span> |
| <span class="sd"> credentials, or chained list of accounts required to get the access_token</span> |
| <span class="sd"> of the last account in the list, which will be impersonated in the request.</span> |
| <span class="sd"> If set as a string, the account must grant the originating account</span> |
| <span class="sd"> the Service Account Token Creator IAM role.</span> |
| <span class="sd"> If set as a sequence, the identities from the list must grant</span> |
| <span class="sd"> Service Account Token Creator IAM role to the directly preceding identity, with first</span> |
| <span class="sd"> account from the list granting this role to the originating account (templated).</span> |
| <span class="sd"> :type impersonation_chain: Union[str, Sequence[str]]</span> |
| <span class="sd"> """</span> |
| |
| <div class="viewcode-block" id="MLEngineCreateVersionOperator.template_fields"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateVersionOperator.template_fields">[docs]</a> <span class="n">template_fields</span> <span class="o">=</span> <span class="p">[</span> |
| <span class="s1">'_project_id'</span><span class="p">,</span> |
| <span class="s1">'_model_name'</span><span class="p">,</span> |
| <span class="s1">'_version'</span><span class="p">,</span> |
| <span class="s1">'_impersonation_chain'</span><span class="p">,</span></div> |
| <span class="p">]</span> |
| |
| <span class="nd">@apply_defaults</span> |
| <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span> |
| <span class="bp">self</span><span class="p">,</span> |
| <span class="o">*</span><span class="p">,</span> |
| <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> |
| <span class="n">version</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">gcp_conn_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'google_cloud_default'</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">str</span><span class="p">]]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span> |
| <span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| |
| <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span> <span class="o">=</span> <span class="n">project_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span> <span class="o">=</span> <span class="n">model_name</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_version</span> <span class="o">=</span> <span class="n">version</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span> <span class="o">=</span> <span class="n">gcp_conn_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span> <span class="o">=</span> <span class="n">delegate_to</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span> <span class="o">=</span> <span class="n">impersonation_chain</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_validate_inputs</span><span class="p">()</span> |
| |
| <div class="viewcode-block" id="MLEngineCreateVersionOperator._validate_inputs"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateVersionOperator._validate_inputs">[docs]</a> <span class="k">def</span> <span class="nf">_validate_inputs</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">AirflowException</span><span class="p">(</span><span class="s2">"The model_name parameter could not be empty."</span><span class="p">)</span> |
| |
| <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_version</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">AirflowException</span><span class="p">(</span><span class="s2">"The version parameter could not be empty."</span><span class="p">)</span></div> |
| |
| <div class="viewcode-block" id="MLEngineCreateVersionOperator.execute"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineCreateVersionOperator.execute">[docs]</a> <span class="k">def</span> <span class="nf">execute</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">context</span><span class="p">):</span> |
| <span class="n">hook</span> <span class="o">=</span> <span class="n">MLEngineHook</span><span class="p">(</span> |
| <span class="n">gcp_conn_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span><span class="p">,</span> |
| <span class="p">)</span> |
| |
| <span class="k">return</span> <span class="n">hook</span><span class="o">.</span><span class="n">create_version</span><span class="p">(</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span><span class="p">,</span> <span class="n">model_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span><span class="p">,</span> <span class="n">version_spec</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_version</span></div></div> |
| <span class="p">)</span> |
| |
| |
| <div class="viewcode-block" id="MLEngineSetDefaultVersionOperator"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineSetDefaultVersionOperator">[docs]</a><span class="k">class</span> <span class="nc">MLEngineSetDefaultVersionOperator</span><span class="p">(</span><span class="n">BaseOperator</span><span class="p">):</span> |
| <span class="sd">"""</span> |
| <span class="sd"> Sets a version in the model.</span> |
| |
| <span class="sd"> .. seealso::</span> |
| <span class="sd"> For more information on how to use this operator, take a look at the guide:</span> |
| <span class="sd"> :ref:`howto/operator:MLEngineSetDefaultVersionOperator`</span> |
| |
| <span class="sd"> The model should be specified by `model_name` to be the default. The name of the version should be</span> |
| <span class="sd"> specified in the `version_name` parameter.</span> |
| |
| <span class="sd"> :param model_name: The name of the Google Cloud ML Engine model that the version belongs to. (templated)</span> |
| <span class="sd"> :type model_name: str</span> |
| <span class="sd"> :param version_name: A name to use for the version being operated upon. (templated)</span> |
| <span class="sd"> :type version_name: str</span> |
| <span class="sd"> :param project_id: The Google Cloud project name to which MLEngine model belongs.</span> |
| <span class="sd"> If set to None or missing, the default project_id from the Google Cloud connection is used.</span> |
| <span class="sd"> (templated)</span> |
| <span class="sd"> :type project_id: str</span> |
| <span class="sd"> :param gcp_conn_id: The connection ID to use when fetching connection info.</span> |
| <span class="sd"> :type gcp_conn_id: str</span> |
| <span class="sd"> :param delegate_to: The account to impersonate using domain-wide delegation of authority,</span> |
| <span class="sd"> if any. For this to work, the service account making the request must have</span> |
| <span class="sd"> domain-wide delegation enabled.</span> |
| <span class="sd"> :type delegate_to: str</span> |
| <span class="sd"> :param impersonation_chain: Optional service account to impersonate using short-term</span> |
| <span class="sd"> credentials, or chained list of accounts required to get the access_token</span> |
| <span class="sd"> of the last account in the list, which will be impersonated in the request.</span> |
| <span class="sd"> If set as a string, the account must grant the originating account</span> |
| <span class="sd"> the Service Account Token Creator IAM role.</span> |
| <span class="sd"> If set as a sequence, the identities from the list must grant</span> |
| <span class="sd"> Service Account Token Creator IAM role to the directly preceding identity, with first</span> |
| <span class="sd"> account from the list granting this role to the originating account (templated).</span> |
| <span class="sd"> :type impersonation_chain: Union[str, Sequence[str]]</span> |
| <span class="sd"> """</span> |
| |
| <div class="viewcode-block" id="MLEngineSetDefaultVersionOperator.template_fields"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineSetDefaultVersionOperator.template_fields">[docs]</a> <span class="n">template_fields</span> <span class="o">=</span> <span class="p">[</span> |
| <span class="s1">'_project_id'</span><span class="p">,</span> |
| <span class="s1">'_model_name'</span><span class="p">,</span> |
| <span class="s1">'_version_name'</span><span class="p">,</span> |
| <span class="s1">'_impersonation_chain'</span><span class="p">,</span></div> |
| <span class="p">]</span> |
| |
| <span class="nd">@apply_defaults</span> |
| <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span> |
| <span class="bp">self</span><span class="p">,</span> |
| <span class="o">*</span><span class="p">,</span> |
| <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> |
| <span class="n">version_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">gcp_conn_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'google_cloud_default'</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">str</span><span class="p">]]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span> |
| <span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| |
| <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span> <span class="o">=</span> <span class="n">project_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span> <span class="o">=</span> <span class="n">model_name</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_version_name</span> <span class="o">=</span> <span class="n">version_name</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span> <span class="o">=</span> <span class="n">gcp_conn_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span> <span class="o">=</span> <span class="n">delegate_to</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span> <span class="o">=</span> <span class="n">impersonation_chain</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_validate_inputs</span><span class="p">()</span> |
| |
| <div class="viewcode-block" id="MLEngineSetDefaultVersionOperator._validate_inputs"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineSetDefaultVersionOperator._validate_inputs">[docs]</a> <span class="k">def</span> <span class="nf">_validate_inputs</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">AirflowException</span><span class="p">(</span><span class="s2">"The model_name parameter could not be empty."</span><span class="p">)</span> |
| |
| <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_version_name</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">AirflowException</span><span class="p">(</span><span class="s2">"The version_name parameter could not be empty."</span><span class="p">)</span></div> |
| |
| <div class="viewcode-block" id="MLEngineSetDefaultVersionOperator.execute"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineSetDefaultVersionOperator.execute">[docs]</a> <span class="k">def</span> <span class="nf">execute</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">context</span><span class="p">):</span> |
| <span class="n">hook</span> <span class="o">=</span> <span class="n">MLEngineHook</span><span class="p">(</span> |
| <span class="n">gcp_conn_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span><span class="p">,</span> |
| <span class="p">)</span> |
| |
| <span class="k">return</span> <span class="n">hook</span><span class="o">.</span><span class="n">set_default_version</span><span class="p">(</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span><span class="p">,</span> <span class="n">model_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span><span class="p">,</span> <span class="n">version_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_version_name</span></div></div> |
| <span class="p">)</span> |
| |
| |
| <div class="viewcode-block" id="MLEngineListVersionsOperator"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineListVersionsOperator">[docs]</a><span class="k">class</span> <span class="nc">MLEngineListVersionsOperator</span><span class="p">(</span><span class="n">BaseOperator</span><span class="p">):</span> |
| <span class="sd">"""</span> |
| <span class="sd"> Lists all available versions of the model</span> |
| |
| <span class="sd"> .. seealso::</span> |
| <span class="sd"> For more information on how to use this operator, take a look at the guide:</span> |
| <span class="sd"> :ref:`howto/operator:MLEngineListVersionsOperator`</span> |
| |
| <span class="sd"> The model should be specified by `model_name`.</span> |
| |
| <span class="sd"> :param model_name: The name of the Google Cloud ML Engine model that the version</span> |
| <span class="sd"> belongs to. (templated)</span> |
| <span class="sd"> :type model_name: str</span> |
| <span class="sd"> :param gcp_conn_id: The connection ID to use when fetching connection info.</span> |
| <span class="sd"> :type gcp_conn_id: str</span> |
| <span class="sd"> :param project_id: The Google Cloud project name to which MLEngine model belongs.</span> |
| <span class="sd"> If set to None or missing, the default project_id from the Google Cloud connection is used.</span> |
| <span class="sd"> (templated)</span> |
| <span class="sd"> :type project_id: str</span> |
| <span class="sd"> :param delegate_to: The account to impersonate using domain-wide delegation of authority,</span> |
| <span class="sd"> if any. For this to work, the service account making the request must have</span> |
| <span class="sd"> domain-wide delegation enabled.</span> |
| <span class="sd"> :type delegate_to: str</span> |
| <span class="sd"> :param impersonation_chain: Optional service account to impersonate using short-term</span> |
| <span class="sd"> credentials, or chained list of accounts required to get the access_token</span> |
| <span class="sd"> of the last account in the list, which will be impersonated in the request.</span> |
| <span class="sd"> If set as a string, the account must grant the originating account</span> |
| <span class="sd"> the Service Account Token Creator IAM role.</span> |
| <span class="sd"> If set as a sequence, the identities from the list must grant</span> |
| <span class="sd"> Service Account Token Creator IAM role to the directly preceding identity, with first</span> |
| <span class="sd"> account from the list granting this role to the originating account (templated).</span> |
| <span class="sd"> :type impersonation_chain: Union[str, Sequence[str]]</span> |
| <span class="sd"> """</span> |
| |
| <div class="viewcode-block" id="MLEngineListVersionsOperator.template_fields"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineListVersionsOperator.template_fields">[docs]</a> <span class="n">template_fields</span> <span class="o">=</span> <span class="p">[</span> |
| <span class="s1">'_project_id'</span><span class="p">,</span> |
| <span class="s1">'_model_name'</span><span class="p">,</span> |
| <span class="s1">'_impersonation_chain'</span><span class="p">,</span></div> |
| <span class="p">]</span> |
| |
| <span class="nd">@apply_defaults</span> |
| <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span> |
| <span class="bp">self</span><span class="p">,</span> |
| <span class="o">*</span><span class="p">,</span> |
| <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">gcp_conn_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'google_cloud_default'</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">str</span><span class="p">]]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span> |
| <span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| |
| <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span> <span class="o">=</span> <span class="n">project_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span> <span class="o">=</span> <span class="n">model_name</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span> <span class="o">=</span> <span class="n">gcp_conn_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span> <span class="o">=</span> <span class="n">delegate_to</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span> <span class="o">=</span> <span class="n">impersonation_chain</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_validate_inputs</span><span class="p">()</span> |
| |
| <div class="viewcode-block" id="MLEngineListVersionsOperator._validate_inputs"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineListVersionsOperator._validate_inputs">[docs]</a> <span class="k">def</span> <span class="nf">_validate_inputs</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">AirflowException</span><span class="p">(</span><span class="s2">"The model_name parameter could not be empty."</span><span class="p">)</span></div> |
| |
| <div class="viewcode-block" id="MLEngineListVersionsOperator.execute"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineListVersionsOperator.execute">[docs]</a> <span class="k">def</span> <span class="nf">execute</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">context</span><span class="p">):</span> |
| <span class="n">hook</span> <span class="o">=</span> <span class="n">MLEngineHook</span><span class="p">(</span> |
| <span class="n">gcp_conn_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span><span class="p">,</span> |
| <span class="p">)</span> |
| |
| <span class="k">return</span> <span class="n">hook</span><span class="o">.</span><span class="n">list_versions</span><span class="p">(</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span><span class="p">,</span> |
| <span class="n">model_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span><span class="p">,</span></div></div> |
| <span class="p">)</span> |
| |
| |
| <div class="viewcode-block" id="MLEngineDeleteVersionOperator"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteVersionOperator">[docs]</a><span class="k">class</span> <span class="nc">MLEngineDeleteVersionOperator</span><span class="p">(</span><span class="n">BaseOperator</span><span class="p">):</span> |
| <span class="sd">"""</span> |
| <span class="sd"> Deletes the version from the model.</span> |
| |
| <span class="sd"> .. seealso::</span> |
| <span class="sd"> For more information on how to use this operator, take a look at the guide:</span> |
| <span class="sd"> :ref:`howto/operator:MLEngineDeleteVersionOperator`</span> |
| |
| <span class="sd"> The name of the version should be specified in `version_name` parameter from the model specified</span> |
| <span class="sd"> by `model_name`.</span> |
| |
| <span class="sd"> :param model_name: The name of the Google Cloud ML Engine model that the version</span> |
| <span class="sd"> belongs to. (templated)</span> |
| <span class="sd"> :type model_name: str</span> |
| <span class="sd"> :param version_name: A name to use for the version being operated upon. (templated)</span> |
| <span class="sd"> :type version_name: str</span> |
| <span class="sd"> :param project_id: The Google Cloud project name to which MLEngine</span> |
| <span class="sd"> model belongs.</span> |
| <span class="sd"> :type project_id: str</span> |
| <span class="sd"> :param gcp_conn_id: The connection ID to use when fetching connection info.</span> |
| <span class="sd"> :type gcp_conn_id: str</span> |
| <span class="sd"> :param delegate_to: The account to impersonate using domain-wide delegation of authority,</span> |
| <span class="sd"> if any. For this to work, the service account making the request must have</span> |
| <span class="sd"> domain-wide delegation enabled.</span> |
| <span class="sd"> :type delegate_to: str</span> |
| <span class="sd"> :param impersonation_chain: Optional service account to impersonate using short-term</span> |
| <span class="sd"> credentials, or chained list of accounts required to get the access_token</span> |
| <span class="sd"> of the last account in the list, which will be impersonated in the request.</span> |
| <span class="sd"> If set as a string, the account must grant the originating account</span> |
| <span class="sd"> the Service Account Token Creator IAM role.</span> |
| <span class="sd"> If set as a sequence, the identities from the list must grant</span> |
| <span class="sd"> Service Account Token Creator IAM role to the directly preceding identity, with first</span> |
| <span class="sd"> account from the list granting this role to the originating account (templated).</span> |
| <span class="sd"> :type impersonation_chain: Union[str, Sequence[str]]</span> |
| <span class="sd"> """</span> |
| |
| <div class="viewcode-block" id="MLEngineDeleteVersionOperator.template_fields"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteVersionOperator.template_fields">[docs]</a> <span class="n">template_fields</span> <span class="o">=</span> <span class="p">[</span> |
| <span class="s1">'_project_id'</span><span class="p">,</span> |
| <span class="s1">'_model_name'</span><span class="p">,</span> |
| <span class="s1">'_version_name'</span><span class="p">,</span> |
| <span class="s1">'_impersonation_chain'</span><span class="p">,</span></div> |
| <span class="p">]</span> |
| |
| <span class="nd">@apply_defaults</span> |
| <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span> |
| <span class="bp">self</span><span class="p">,</span> |
| <span class="o">*</span><span class="p">,</span> |
| <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> |
| <span class="n">version_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">gcp_conn_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'google_cloud_default'</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">str</span><span class="p">]]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span> |
| <span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| |
| <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span> <span class="o">=</span> <span class="n">project_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span> <span class="o">=</span> <span class="n">model_name</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_version_name</span> <span class="o">=</span> <span class="n">version_name</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span> <span class="o">=</span> <span class="n">gcp_conn_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span> <span class="o">=</span> <span class="n">delegate_to</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span> <span class="o">=</span> <span class="n">impersonation_chain</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_validate_inputs</span><span class="p">()</span> |
| |
| <div class="viewcode-block" id="MLEngineDeleteVersionOperator._validate_inputs"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteVersionOperator._validate_inputs">[docs]</a> <span class="k">def</span> <span class="nf">_validate_inputs</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">AirflowException</span><span class="p">(</span><span class="s2">"The model_name parameter could not be empty."</span><span class="p">)</span> |
| |
| <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_version_name</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">AirflowException</span><span class="p">(</span><span class="s2">"The version_name parameter could not be empty."</span><span class="p">)</span></div> |
| |
| <div class="viewcode-block" id="MLEngineDeleteVersionOperator.execute"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineDeleteVersionOperator.execute">[docs]</a> <span class="k">def</span> <span class="nf">execute</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">context</span><span class="p">):</span> |
| <span class="n">hook</span> <span class="o">=</span> <span class="n">MLEngineHook</span><span class="p">(</span> |
| <span class="n">gcp_conn_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span><span class="p">,</span> |
| <span class="p">)</span> |
| |
| <span class="k">return</span> <span class="n">hook</span><span class="o">.</span><span class="n">delete_version</span><span class="p">(</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span><span class="p">,</span> <span class="n">model_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span><span class="p">,</span> <span class="n">version_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_version_name</span></div></div> |
| <span class="p">)</span> |
| |
| |
| <div class="viewcode-block" id="AIPlatformConsoleLink"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.AIPlatformConsoleLink">[docs]</a><span class="k">class</span> <span class="nc">AIPlatformConsoleLink</span><span class="p">(</span><span class="n">BaseOperatorLink</span><span class="p">):</span> |
| <span class="sd">"""Helper class for constructing AI Platform Console link."""</span> |
| |
| <div class="viewcode-block" id="AIPlatformConsoleLink.name"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.AIPlatformConsoleLink.name">[docs]</a> <span class="n">name</span> <span class="o">=</span> <span class="s2">"AI Platform Console"</span></div> |
| |
| <div class="viewcode-block" id="AIPlatformConsoleLink.get_link"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.AIPlatformConsoleLink.get_link">[docs]</a> <span class="k">def</span> <span class="nf">get_link</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">operator</span><span class="p">,</span> <span class="n">dttm</span><span class="p">):</span> |
| <span class="n">task_instance</span> <span class="o">=</span> <span class="n">TaskInstance</span><span class="p">(</span><span class="n">task</span><span class="o">=</span><span class="n">operator</span><span class="p">,</span> <span class="n">execution_date</span><span class="o">=</span><span class="n">dttm</span><span class="p">)</span> |
| <span class="n">gcp_metadata_dict</span> <span class="o">=</span> <span class="n">task_instance</span><span class="o">.</span><span class="n">xcom_pull</span><span class="p">(</span><span class="n">task_ids</span><span class="o">=</span><span class="n">operator</span><span class="o">.</span><span class="n">task_id</span><span class="p">,</span> <span class="n">key</span><span class="o">=</span><span class="s2">"gcp_metadata"</span><span class="p">)</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="n">gcp_metadata_dict</span><span class="p">:</span> |
| <span class="k">return</span> <span class="s1">''</span> |
| <span class="n">job_id</span> <span class="o">=</span> <span class="n">gcp_metadata_dict</span><span class="p">[</span><span class="s1">'job_id'</span><span class="p">]</span> |
| <span class="n">project_id</span> <span class="o">=</span> <span class="n">gcp_metadata_dict</span><span class="p">[</span><span class="s1">'project_id'</span><span class="p">]</span> |
| <span class="n">console_link</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">"https://console.cloud.google.com/ai-platform/jobs/</span><span class="si">{</span><span class="n">job_id</span><span class="si">}</span><span class="s2">?project=</span><span class="si">{</span><span class="n">project_id</span><span class="si">}</span><span class="s2">"</span> |
| <span class="k">return</span> <span class="n">console_link</span></div></div> |
| |
| |
| <span class="c1"># pylint: disable=too-many-instance-attributes</span> |
| <div class="viewcode-block" id="MLEngineStartTrainingJobOperator"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineStartTrainingJobOperator">[docs]</a><span class="k">class</span> <span class="nc">MLEngineStartTrainingJobOperator</span><span class="p">(</span><span class="n">BaseOperator</span><span class="p">):</span> |
| <span class="sd">"""</span> |
| <span class="sd"> Operator for launching a MLEngine training job.</span> |
| |
| <span class="sd"> .. seealso::</span> |
| <span class="sd"> For more information on how to use this operator, take a look at the guide:</span> |
| <span class="sd"> :ref:`howto/operator:MLEngineStartTrainingJobOperator`</span> |
| |
| <span class="sd"> :param job_id: A unique templated id for the submitted Google MLEngine</span> |
| <span class="sd"> training job. (templated)</span> |
| <span class="sd"> :type job_id: str</span> |
| <span class="sd"> :param package_uris: A list of package locations for MLEngine training job,</span> |
| <span class="sd"> which should include the main training program + any additional</span> |
| <span class="sd"> dependencies. (templated)</span> |
| <span class="sd"> :type package_uris: List[str]</span> |
| <span class="sd"> :param training_python_module: The Python module name to run within MLEngine</span> |
| <span class="sd"> training job after installing 'package_uris' packages. (templated)</span> |
| <span class="sd"> :type training_python_module: str</span> |
| <span class="sd"> :param training_args: A list of templated command line arguments to pass to</span> |
| <span class="sd"> the MLEngine training program. (templated)</span> |
| <span class="sd"> :type training_args: List[str]</span> |
| <span class="sd"> :param region: The Google Compute Engine region to run the MLEngine training</span> |
| <span class="sd"> job in (templated).</span> |
| <span class="sd"> :type region: str</span> |
| <span class="sd"> :param scale_tier: Resource tier for MLEngine training job. (templated)</span> |
| <span class="sd"> :type scale_tier: str</span> |
| <span class="sd"> :param master_type: Cloud ML Engine machine name.</span> |
| <span class="sd"> Must be set when scale_tier is CUSTOM. (templated)</span> |
| <span class="sd"> :type master_type: str</span> |
| <span class="sd"> :param master_config: Cloud ML Engine master config.</span> |
| <span class="sd"> master_type must be set if master_config is provided. (templated)</span> |
| <span class="sd"> :type master_type: dict</span> |
| <span class="sd"> :param runtime_version: The Google Cloud ML runtime version to use for</span> |
| <span class="sd"> training. (templated)</span> |
| <span class="sd"> :type runtime_version: str</span> |
| <span class="sd"> :param python_version: The version of Python used in training. (templated)</span> |
| <span class="sd"> :type python_version: str</span> |
| <span class="sd"> :param job_dir: A Google Cloud Storage path in which to store training</span> |
| <span class="sd"> outputs and other data needed for training. (templated)</span> |
| <span class="sd"> :type job_dir: str</span> |
| <span class="sd"> :param service_account: Optional service account to use when running the training application.</span> |
| <span class="sd"> (templated)</span> |
| <span class="sd"> The specified service account must have the `iam.serviceAccounts.actAs` role. The</span> |
| <span class="sd"> Google-managed Cloud ML Engine service account must have the `iam.serviceAccountAdmin` role</span> |
| <span class="sd"> for the specified service account.</span> |
| <span class="sd"> If set to None or missing, the Google-managed Cloud ML Engine service account will be used.</span> |
| <span class="sd"> :type service_account: str</span> |
| <span class="sd"> :param project_id: The Google Cloud project name within which MLEngine training job should run.</span> |
| <span class="sd"> If set to None or missing, the default project_id from the Google Cloud connection is used.</span> |
| <span class="sd"> (templated)</span> |
| <span class="sd"> :type project_id: str</span> |
| <span class="sd"> :param gcp_conn_id: The connection ID to use when fetching connection info.</span> |
| <span class="sd"> :type gcp_conn_id: str</span> |
| <span class="sd"> :param delegate_to: The account to impersonate using domain-wide delegation of authority,</span> |
| <span class="sd"> if any. For this to work, the service account making the request must have</span> |
| <span class="sd"> domain-wide delegation enabled.</span> |
| <span class="sd"> :type delegate_to: str</span> |
| <span class="sd"> :param mode: Can be one of 'DRY_RUN'/'CLOUD'. In 'DRY_RUN' mode, no real</span> |
| <span class="sd"> training job will be launched, but the MLEngine training job request</span> |
| <span class="sd"> will be printed out. In 'CLOUD' mode, a real MLEngine training job</span> |
| <span class="sd"> creation request will be issued.</span> |
| <span class="sd"> :type mode: str</span> |
| <span class="sd"> :param labels: a dictionary containing labels for the job; passed to BigQuery</span> |
| <span class="sd"> :type labels: Dict[str, str]</span> |
| <span class="sd"> :param impersonation_chain: Optional service account to impersonate using short-term</span> |
| <span class="sd"> credentials, or chained list of accounts required to get the access_token</span> |
| <span class="sd"> of the last account in the list, which will be impersonated in the request.</span> |
| <span class="sd"> If set as a string, the account must grant the originating account</span> |
| <span class="sd"> the Service Account Token Creator IAM role.</span> |
| <span class="sd"> If set as a sequence, the identities from the list must grant</span> |
| <span class="sd"> Service Account Token Creator IAM role to the directly preceding identity, with first</span> |
| <span class="sd"> account from the list granting this role to the originating account (templated).</span> |
| <span class="sd"> :type impersonation_chain: Union[str, Sequence[str]]</span> |
| <span class="sd"> """</span> |
| |
| <div class="viewcode-block" id="MLEngineStartTrainingJobOperator.template_fields"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineStartTrainingJobOperator.template_fields">[docs]</a> <span class="n">template_fields</span> <span class="o">=</span> <span class="p">[</span> |
| <span class="s1">'_project_id'</span><span class="p">,</span> |
| <span class="s1">'_job_id'</span><span class="p">,</span> |
| <span class="s1">'_package_uris'</span><span class="p">,</span> |
| <span class="s1">'_training_python_module'</span><span class="p">,</span> |
| <span class="s1">'_training_args'</span><span class="p">,</span> |
| <span class="s1">'_region'</span><span class="p">,</span> |
| <span class="s1">'_scale_tier'</span><span class="p">,</span> |
| <span class="s1">'_master_type'</span><span class="p">,</span> |
| <span class="s1">'_master_config'</span><span class="p">,</span> |
| <span class="s1">'_runtime_version'</span><span class="p">,</span> |
| <span class="s1">'_python_version'</span><span class="p">,</span> |
| <span class="s1">'_job_dir'</span><span class="p">,</span> |
| <span class="s1">'_service_account'</span><span class="p">,</span> |
| <span class="s1">'_impersonation_chain'</span><span class="p">,</span></div> |
| <span class="p">]</span> |
| |
| <div class="viewcode-block" id="MLEngineStartTrainingJobOperator.operator_extra_links"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineStartTrainingJobOperator.operator_extra_links">[docs]</a> <span class="n">operator_extra_links</span> <span class="o">=</span> <span class="p">(</span><span class="n">AIPlatformConsoleLink</span><span class="p">(),)</span></div> |
| |
| <span class="nd">@apply_defaults</span> |
| <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span> |
| <span class="bp">self</span><span class="p">,</span> <span class="c1"># pylint: disable=too-many-arguments</span> |
| <span class="o">*</span><span class="p">,</span> |
| <span class="n">job_id</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> |
| <span class="n">package_uris</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> |
| <span class="n">training_python_module</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> |
| <span class="n">training_args</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> |
| <span class="n">region</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> |
| <span class="n">scale_tier</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">master_type</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">master_config</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">runtime_version</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">python_version</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">job_dir</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">service_account</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">gcp_conn_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'google_cloud_default'</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">mode</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'PRODUCTION'</span><span class="p">,</span> |
| <span class="n">labels</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">str</span><span class="p">]]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span> |
| <span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span> <span class="o">=</span> <span class="n">project_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_job_id</span> <span class="o">=</span> <span class="n">job_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_package_uris</span> <span class="o">=</span> <span class="n">package_uris</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_training_python_module</span> <span class="o">=</span> <span class="n">training_python_module</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_training_args</span> <span class="o">=</span> <span class="n">training_args</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_region</span> <span class="o">=</span> <span class="n">region</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_scale_tier</span> <span class="o">=</span> <span class="n">scale_tier</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_master_type</span> <span class="o">=</span> <span class="n">master_type</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_master_config</span> <span class="o">=</span> <span class="n">master_config</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_runtime_version</span> <span class="o">=</span> <span class="n">runtime_version</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_python_version</span> <span class="o">=</span> <span class="n">python_version</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_job_dir</span> <span class="o">=</span> <span class="n">job_dir</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_service_account</span> <span class="o">=</span> <span class="n">service_account</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span> <span class="o">=</span> <span class="n">gcp_conn_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span> <span class="o">=</span> <span class="n">delegate_to</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_mode</span> <span class="o">=</span> <span class="n">mode</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_labels</span> <span class="o">=</span> <span class="n">labels</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span> <span class="o">=</span> <span class="n">impersonation_chain</span> |
| |
| <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">AirflowException</span><span class="p">(</span><span class="s1">'Google Cloud project id is required.'</span><span class="p">)</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_job_id</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">AirflowException</span><span class="p">(</span><span class="s1">'An unique job id is required for Google MLEngine training job.'</span><span class="p">)</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="n">package_uris</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">AirflowException</span><span class="p">(</span><span class="s1">'At least one python package is required for MLEngine Training job.'</span><span class="p">)</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="n">training_python_module</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">AirflowException</span><span class="p">(</span> |
| <span class="s1">'Python module name to run after installing required packages is required.'</span> |
| <span class="p">)</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_region</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">AirflowException</span><span class="p">(</span><span class="s1">'Google Compute Engine region is required.'</span><span class="p">)</span> |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_scale_tier</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">_scale_tier</span><span class="o">.</span><span class="n">upper</span><span class="p">()</span> <span class="o">==</span> <span class="s2">"CUSTOM"</span> <span class="ow">and</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_master_type</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">AirflowException</span><span class="p">(</span><span class="s1">'master_type must be set when scale_tier is CUSTOM'</span><span class="p">)</span> |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_master_config</span> <span class="ow">and</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_master_type</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">AirflowException</span><span class="p">(</span><span class="s1">'master_type must be set when master_config is provided'</span><span class="p">)</span> |
| |
| <div class="viewcode-block" id="MLEngineStartTrainingJobOperator.execute"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineStartTrainingJobOperator.execute">[docs]</a> <span class="k">def</span> <span class="nf">execute</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">context</span><span class="p">):</span> |
| <span class="n">job_id</span> <span class="o">=</span> <span class="n">_normalize_mlengine_job_id</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_job_id</span><span class="p">)</span> |
| <span class="n">training_request</span> <span class="o">=</span> <span class="p">{</span> |
| <span class="s1">'jobId'</span><span class="p">:</span> <span class="n">job_id</span><span class="p">,</span> |
| <span class="s1">'trainingInput'</span><span class="p">:</span> <span class="p">{</span> |
| <span class="s1">'scaleTier'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_scale_tier</span><span class="p">,</span> |
| <span class="s1">'packageUris'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_package_uris</span><span class="p">,</span> |
| <span class="s1">'pythonModule'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_training_python_module</span><span class="p">,</span> |
| <span class="s1">'region'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_region</span><span class="p">,</span> |
| <span class="s1">'args'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_training_args</span><span class="p">,</span> |
| <span class="p">},</span> |
| <span class="p">}</span> |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_labels</span><span class="p">:</span> |
| <span class="n">training_request</span><span class="p">[</span><span class="s1">'labels'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_labels</span> |
| |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_runtime_version</span><span class="p">:</span> |
| <span class="n">training_request</span><span class="p">[</span><span class="s1">'trainingInput'</span><span class="p">][</span><span class="s1">'runtimeVersion'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_runtime_version</span> |
| |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_python_version</span><span class="p">:</span> |
| <span class="n">training_request</span><span class="p">[</span><span class="s1">'trainingInput'</span><span class="p">][</span><span class="s1">'pythonVersion'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_python_version</span> |
| |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_job_dir</span><span class="p">:</span> |
| <span class="n">training_request</span><span class="p">[</span><span class="s1">'trainingInput'</span><span class="p">][</span><span class="s1">'jobDir'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_job_dir</span> |
| |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_service_account</span><span class="p">:</span> |
| <span class="n">training_request</span><span class="p">[</span><span class="s1">'trainingInput'</span><span class="p">][</span><span class="s1">'serviceAccount'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_service_account</span> |
| |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_scale_tier</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">_scale_tier</span><span class="o">.</span><span class="n">upper</span><span class="p">()</span> <span class="o">==</span> <span class="s2">"CUSTOM"</span><span class="p">:</span> |
| <span class="n">training_request</span><span class="p">[</span><span class="s1">'trainingInput'</span><span class="p">][</span><span class="s1">'masterType'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_master_type</span> |
| |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_master_config</span><span class="p">:</span> |
| <span class="n">training_request</span><span class="p">[</span><span class="s1">'trainingInput'</span><span class="p">][</span><span class="s1">'masterConfig'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_master_config</span> |
| |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_mode</span> <span class="o">==</span> <span class="s1">'DRY_RUN'</span><span class="p">:</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">'In dry_run mode.'</span><span class="p">)</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">'MLEngine Training job request is: </span><span class="si">%s</span><span class="s1">'</span><span class="p">,</span> <span class="n">training_request</span><span class="p">)</span> |
| <span class="k">return</span> |
| |
| <span class="n">hook</span> <span class="o">=</span> <span class="n">MLEngineHook</span><span class="p">(</span> |
| <span class="n">gcp_conn_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span><span class="p">,</span> |
| <span class="p">)</span> |
| |
| <span class="c1"># Helper method to check if the existing job's training input is the</span> |
| <span class="c1"># same as the request we get here.</span> |
| <span class="k">def</span> <span class="nf">check_existing_job</span><span class="p">(</span><span class="n">existing_job</span><span class="p">):</span> |
| <span class="n">existing_training_input</span> <span class="o">=</span> <span class="n">existing_job</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'trainingInput'</span><span class="p">)</span> |
| <span class="n">requested_training_input</span> <span class="o">=</span> <span class="n">training_request</span><span class="p">[</span><span class="s1">'trainingInput'</span><span class="p">]</span> |
| <span class="k">if</span> <span class="s1">'scaleTier'</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">existing_training_input</span><span class="p">:</span> |
| <span class="n">existing_training_input</span><span class="p">[</span><span class="s1">'scaleTier'</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span> |
| |
| <span class="n">existing_training_input</span><span class="p">[</span><span class="s1">'args'</span><span class="p">]</span> <span class="o">=</span> <span class="n">existing_training_input</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'args'</span><span class="p">)</span> |
| <span class="n">requested_training_input</span><span class="p">[</span><span class="s2">"args"</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span> |
| <span class="n">requested_training_input</span><span class="p">[</span><span class="s1">'args'</span><span class="p">]</span> <span class="k">if</span> <span class="n">requested_training_input</span><span class="p">[</span><span class="s2">"args"</span><span class="p">]</span> <span class="k">else</span> <span class="kc">None</span> |
| <span class="p">)</span> |
| |
| <span class="k">return</span> <span class="n">existing_training_input</span> <span class="o">==</span> <span class="n">requested_training_input</span> |
| |
| <span class="n">finished_training_job</span> <span class="o">=</span> <span class="n">hook</span><span class="o">.</span><span class="n">create_job</span><span class="p">(</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span><span class="p">,</span> <span class="n">job</span><span class="o">=</span><span class="n">training_request</span><span class="p">,</span> <span class="n">use_existing_job_fn</span><span class="o">=</span><span class="n">check_existing_job</span> |
| <span class="p">)</span> |
| |
| <span class="k">if</span> <span class="n">finished_training_job</span><span class="p">[</span><span class="s1">'state'</span><span class="p">]</span> <span class="o">!=</span> <span class="s1">'SUCCEEDED'</span><span class="p">:</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="s1">'MLEngine training job failed: </span><span class="si">%s</span><span class="s1">'</span><span class="p">,</span> <span class="nb">str</span><span class="p">(</span><span class="n">finished_training_job</span><span class="p">))</span> |
| <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">finished_training_job</span><span class="p">[</span><span class="s1">'errorMessage'</span><span class="p">])</span> |
| |
| <span class="n">gcp_metadata</span> <span class="o">=</span> <span class="p">{</span> |
| <span class="s2">"job_id"</span><span class="p">:</span> <span class="n">job_id</span><span class="p">,</span> |
| <span class="s2">"project_id"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span><span class="p">,</span> |
| <span class="p">}</span> |
| <span class="n">context</span><span class="p">[</span><span class="s1">'task_instance'</span><span class="p">]</span><span class="o">.</span><span class="n">xcom_push</span><span class="p">(</span><span class="s2">"gcp_metadata"</span><span class="p">,</span> <span class="n">gcp_metadata</span><span class="p">)</span></div></div> |
| |
| |
| <div class="viewcode-block" id="MLEngineTrainingCancelJobOperator"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineTrainingCancelJobOperator">[docs]</a><span class="k">class</span> <span class="nc">MLEngineTrainingCancelJobOperator</span><span class="p">(</span><span class="n">BaseOperator</span><span class="p">):</span> |
| <span class="sd">"""</span> |
| <span class="sd"> Operator for cleaning up failed MLEngine training job.</span> |
| |
| <span class="sd"> :param job_id: A unique templated id for the submitted Google MLEngine</span> |
| <span class="sd"> training job. (templated)</span> |
| <span class="sd"> :type job_id: str</span> |
| <span class="sd"> :param project_id: The Google Cloud project name within which MLEngine training job should run.</span> |
| <span class="sd"> If set to None or missing, the default project_id from the Google Cloud connection is used.</span> |
| <span class="sd"> (templated)</span> |
| <span class="sd"> :type project_id: str</span> |
| <span class="sd"> :param gcp_conn_id: The connection ID to use when fetching connection info.</span> |
| <span class="sd"> :type gcp_conn_id: str</span> |
| <span class="sd"> :param delegate_to: The account to impersonate using domain-wide delegation of authority,</span> |
| <span class="sd"> if any. For this to work, the service account making the request must have</span> |
| <span class="sd"> domain-wide delegation enabled.</span> |
| <span class="sd"> :type delegate_to: str</span> |
| <span class="sd"> :param impersonation_chain: Optional service account to impersonate using short-term</span> |
| <span class="sd"> credentials, or chained list of accounts required to get the access_token</span> |
| <span class="sd"> of the last account in the list, which will be impersonated in the request.</span> |
| <span class="sd"> If set as a string, the account must grant the originating account</span> |
| <span class="sd"> the Service Account Token Creator IAM role.</span> |
| <span class="sd"> If set as a sequence, the identities from the list must grant</span> |
| <span class="sd"> Service Account Token Creator IAM role to the directly preceding identity, with first</span> |
| <span class="sd"> account from the list granting this role to the originating account (templated).</span> |
| <span class="sd"> :type impersonation_chain: Union[str, Sequence[str]]</span> |
| <span class="sd"> """</span> |
| |
| <div class="viewcode-block" id="MLEngineTrainingCancelJobOperator.template_fields"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineTrainingCancelJobOperator.template_fields">[docs]</a> <span class="n">template_fields</span> <span class="o">=</span> <span class="p">[</span> |
| <span class="s1">'_project_id'</span><span class="p">,</span> |
| <span class="s1">'_job_id'</span><span class="p">,</span> |
| <span class="s1">'_impersonation_chain'</span><span class="p">,</span></div> |
| <span class="p">]</span> |
| |
| <span class="nd">@apply_defaults</span> |
| <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span> |
| <span class="bp">self</span><span class="p">,</span> |
| <span class="o">*</span><span class="p">,</span> |
| <span class="n">job_id</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">gcp_conn_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'google_cloud_default'</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">str</span><span class="p">]]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span> |
| <span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span> <span class="o">=</span> <span class="n">project_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_job_id</span> <span class="o">=</span> <span class="n">job_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span> <span class="o">=</span> <span class="n">gcp_conn_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span> <span class="o">=</span> <span class="n">delegate_to</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span> <span class="o">=</span> <span class="n">impersonation_chain</span> |
| |
| <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="n">AirflowException</span><span class="p">(</span><span class="s1">'Google Cloud project id is required.'</span><span class="p">)</span> |
| |
| <div class="viewcode-block" id="MLEngineTrainingCancelJobOperator.execute"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/mlengine/index.html#airflow.providers.google.cloud.operators.mlengine.MLEngineTrainingCancelJobOperator.execute">[docs]</a> <span class="k">def</span> <span class="nf">execute</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">context</span><span class="p">):</span> |
| |
| <span class="n">hook</span> <span class="o">=</span> <span class="n">MLEngineHook</span><span class="p">(</span> |
| <span class="n">gcp_conn_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_gcp_conn_id</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_delegate_to</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_impersonation_chain</span><span class="p">,</span> |
| <span class="p">)</span> |
| |
| <span class="n">hook</span><span class="o">.</span><span class="n">cancel_job</span><span class="p">(</span><span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_project_id</span><span class="p">,</span> <span class="n">job_id</span><span class="o">=</span><span class="n">_normalize_mlengine_job_id</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_job_id</span><span class="p">))</span></div></div> |
| </pre></div> |
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