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<h1>Source code for airflow.contrib.example_dags.example_gcp_natural_language</h1><div class="highlight"><pre>
<span></span><span class="c1"># -*- coding: utf-8 -*-</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"># &quot;License&quot;); 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"># &quot;AS IS&quot; 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">&quot;&quot;&quot;</span>
<span class="sd">Example Airflow DAG for Google Cloud Natural Language service</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="kn">from</span> <span class="nn">google.cloud.language_v1.proto.language_service_pb2</span> <span class="k">import</span> <span class="n">Document</span>
<span class="kn">import</span> <span class="nn">airflow</span>
<span class="kn">from</span> <span class="nn">airflow</span> <span class="k">import</span> <span class="n">models</span>
<span class="kn">from</span> <span class="nn">airflow.contrib.operators.gcp_natural_language_operator</span> <span class="k">import</span> <span class="p">(</span>
<span class="n">CloudLanguageAnalyzeEntitiesOperator</span><span class="p">,</span>
<span class="n">CloudLanguageAnalyzeEntitySentimentOperator</span><span class="p">,</span>
<span class="n">CloudLanguageAnalyzeSentimentOperator</span><span class="p">,</span>
<span class="n">CloudLanguageClassifyTextOperator</span><span class="p">,</span>
<span class="p">)</span>
<span class="kn">from</span> <span class="nn">airflow.operators.bash_operator</span> <span class="k">import</span> <span class="n">BashOperator</span>
<span class="c1"># [START howto_operator_gcp_natural_language_document_text]</span>
<span class="n">TEXT</span> <span class="o">=</span> <span class="s2">&quot;&quot;&quot;</span>
<span class="s2">Airflow is a platform to programmatically author, schedule and monitor workflows.</span>
<span class="s2">Use Airflow to author workflows as Directed Acyclic Graphs (DAGs) of tasks. The Airflow scheduler executes</span>
<span class="s2"> your tasks on an array of workers while following the specified dependencies. Rich command line utilities</span>
<span class="s2"> make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize</span>
<span class="s2"> pipelines running in production, monitor progress, and troubleshoot issues when needed.</span>
<span class="s2">&quot;&quot;&quot;</span>
<span class="n">document</span> <span class="o">=</span> <span class="n">Document</span><span class="p">(</span><span class="n">content</span><span class="o">=</span><span class="n">TEXT</span><span class="p">,</span> <span class="nb">type</span><span class="o">=</span><span class="s2">&quot;PLAIN_TEXT&quot;</span><span class="p">)</span>
<span class="c1"># [END howto_operator_gcp_natural_language_document_text]</span>
<span class="c1"># [START howto_operator_gcp_natural_language_document_gcs]</span>
<span class="n">GCS_CONTENT_URI</span> <span class="o">=</span> <span class="s2">&quot;gs://my-text-bucket/sentiment-me.txt&quot;</span>
<span class="n">document_gcs</span> <span class="o">=</span> <span class="n">Document</span><span class="p">(</span><span class="n">gcs_content_uri</span><span class="o">=</span><span class="n">GCS_CONTENT_URI</span><span class="p">,</span> <span class="nb">type</span><span class="o">=</span><span class="s2">&quot;PLAIN_TEXT&quot;</span><span class="p">)</span>
<span class="c1"># [END howto_operator_gcp_natural_language_document_gcs]</span>
<span class="n">default_args</span> <span class="o">=</span> <span class="p">{</span><span class="s2">&quot;start_date&quot;</span><span class="p">:</span> <span class="n">airflow</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">dates</span><span class="o">.</span><span class="n">days_ago</span><span class="p">(</span><span class="mi">1</span><span class="p">)}</span>
<span class="k">with</span> <span class="n">models</span><span class="o">.</span><span class="n">DAG</span><span class="p">(</span>
<span class="s2">&quot;example_gcp_natural_language&quot;</span><span class="p">,</span>
<span class="n">default_args</span><span class="o">=</span><span class="n">default_args</span><span class="p">,</span>
<span class="n">schedule_interval</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="c1"># Override to match your needs</span>
<span class="p">)</span> <span class="k">as</span> <span class="n">dag</span><span class="p">:</span>
<span class="c1"># [START howto_operator_gcp_natural_language_analyze_entities]</span>
<span class="n">analyze_entities</span> <span class="o">=</span> <span class="n">CloudLanguageAnalyzeEntitiesOperator</span><span class="p">(</span><span class="n">document</span><span class="o">=</span><span class="n">document</span><span class="p">,</span> <span class="n">task_id</span><span class="o">=</span><span class="s2">&quot;analyze_entities&quot;</span><span class="p">)</span>
<span class="c1"># [END howto_operator_gcp_natural_language_analyze_entities]</span>
<span class="c1"># [START howto_operator_gcp_natural_language_analyze_entities_result]</span>
<span class="n">analyze_entities_result</span> <span class="o">=</span> <span class="n">BashOperator</span><span class="p">(</span>
<span class="n">bash_command</span><span class="o">=</span><span class="s2">&quot;echo </span><span class="se">\&quot;</span><span class="s2">{{ task_instance.xcom_pull(&#39;analyze_entities&#39;) }}</span><span class="se">\&quot;</span><span class="s2">&quot;</span><span class="p">,</span>
<span class="n">task_id</span><span class="o">=</span><span class="s2">&quot;analyze_entities_result&quot;</span><span class="p">,</span>
<span class="p">)</span>
<span class="c1"># [END howto_operator_gcp_natural_language_analyze_entities_result]</span>
<span class="c1"># [START howto_operator_gcp_natural_language_analyze_entity_sentiment]</span>
<span class="n">analyze_entity_sentiment</span> <span class="o">=</span> <span class="n">CloudLanguageAnalyzeEntitySentimentOperator</span><span class="p">(</span>
<span class="n">document</span><span class="o">=</span><span class="n">document</span><span class="p">,</span> <span class="n">task_id</span><span class="o">=</span><span class="s2">&quot;analyze_entity_sentiment&quot;</span>
<span class="p">)</span>
<span class="c1"># [END howto_operator_gcp_natural_language_analyze_entity_sentiment]</span>
<span class="c1"># [START howto_operator_gcp_natural_language_analyze_entity_sentiment_result]</span>
<span class="n">analyze_entity_sentiment_result</span> <span class="o">=</span> <span class="n">BashOperator</span><span class="p">(</span>
<span class="n">bash_command</span><span class="o">=</span><span class="s2">&quot;echo </span><span class="se">\&quot;</span><span class="s2">{{ task_instance.xcom_pull(&#39;analyze_entity_sentiment&#39;) }}</span><span class="se">\&quot;</span><span class="s2">&quot;</span><span class="p">,</span>
<span class="n">task_id</span><span class="o">=</span><span class="s2">&quot;analyze_entity_sentiment_result&quot;</span><span class="p">,</span>
<span class="p">)</span>
<span class="c1"># [END howto_operator_gcp_natural_language_analyze_entity_sentiment_result]</span>
<span class="c1"># [START howto_operator_gcp_natural_language_analyze_sentiment]</span>
<span class="n">analyze_sentiment</span> <span class="o">=</span> <span class="n">CloudLanguageAnalyzeSentimentOperator</span><span class="p">(</span><span class="n">document</span><span class="o">=</span><span class="n">document</span><span class="p">,</span> <span class="n">task_id</span><span class="o">=</span><span class="s2">&quot;analyze_sentiment&quot;</span><span class="p">)</span>
<span class="c1"># [END howto_operator_gcp_natural_language_analyze_sentiment]</span>
<span class="c1"># [START howto_operator_gcp_natural_language_analyze_sentiment_result]</span>
<span class="n">analyze_sentiment_result</span> <span class="o">=</span> <span class="n">BashOperator</span><span class="p">(</span>
<span class="n">bash_command</span><span class="o">=</span><span class="s2">&quot;echo </span><span class="se">\&quot;</span><span class="s2">{{ task_instance.xcom_pull(&#39;analyze_sentiment&#39;) }}</span><span class="se">\&quot;</span><span class="s2">&quot;</span><span class="p">,</span>
<span class="n">task_id</span><span class="o">=</span><span class="s2">&quot;analyze_sentiment_result&quot;</span><span class="p">,</span>
<span class="p">)</span>
<span class="c1"># [END howto_operator_gcp_natural_language_analyze_sentiment_result]</span>
<span class="c1"># [START howto_operator_gcp_natural_language_analyze_classify_text]</span>
<span class="n">analyze_classify_text</span> <span class="o">=</span> <span class="n">CloudLanguageClassifyTextOperator</span><span class="p">(</span>
<span class="n">document</span><span class="o">=</span><span class="n">document</span><span class="p">,</span> <span class="n">task_id</span><span class="o">=</span><span class="s2">&quot;analyze_classify_text&quot;</span>
<span class="p">)</span>
<span class="c1"># [END howto_operator_gcp_natural_language_analyze_classify_text]</span>
<span class="c1"># [START howto_operator_gcp_natural_language_analyze_classify_text_result]</span>
<span class="n">analyze_classify_text_result</span> <span class="o">=</span> <span class="n">BashOperator</span><span class="p">(</span>
<span class="n">bash_command</span><span class="o">=</span><span class="s2">&quot;echo </span><span class="se">\&quot;</span><span class="s2">{{ task_instance.xcom_pull(&#39;analyze_classify_text&#39;) }}</span><span class="se">\&quot;</span><span class="s2">&quot;</span><span class="p">,</span>
<span class="n">task_id</span><span class="o">=</span><span class="s2">&quot;analyze_classify_text_result&quot;</span><span class="p">,</span>
<span class="p">)</span>
<span class="c1"># [END howto_operator_gcp_natural_language_analyze_classify_text_result]</span>
<span class="n">analyze_entities</span> <span class="o">&gt;&gt;</span> <span class="n">analyze_entities_result</span>
<span class="n">analyze_entity_sentiment</span> <span class="o">&gt;&gt;</span> <span class="n">analyze_entity_sentiment_result</span>
<span class="n">analyze_sentiment</span> <span class="o">&gt;&gt;</span> <span class="n">analyze_sentiment_result</span>
<span class="n">analyze_classify_text</span> <span class="o">&gt;&gt;</span> <span class="n">analyze_classify_text_result</span>
</pre></div>
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