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   <h1>Source code for apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline</h1><div class="highlight"><pre>
 <span></span><span class="c1">#</span>
 <span class="c1"># Licensed to the Apache Software Foundation (ASF) under one or more</span>
 <span class="c1"># contributor license agreements.  See the NOTICE file distributed with</span>
 <span class="c1"># this work for additional information regarding copyright ownership.</span>
 <span class="c1"># The ASF licenses this file to You under the Apache License, Version 2.0</span>
 <span class="c1"># (the &quot;License&quot;); you may not use this file except in compliance with</span>
 <span class="c1"># 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, software</span>
 <span class="c1"># distributed under the License is distributed on an &quot;AS IS&quot; BASIS,</span>
 <span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
 <span class="c1"># See the License for the specific language governing permissions and</span>
 <span class="c1"># limitations under the License.</span>
 <span class="c1">#</span>

 <span class="sd">&quot;&quot;&quot;A word-counting workflow.&quot;&quot;&quot;</span>

 <span class="kn">from</span> <span class="nn">__future__</span> <span class="k">import</span> <span class="n">absolute_import</span>

 <span class="kn">import</span> <span class="nn">time</span>

 <span class="kn">from</span> <span class="nn">hamcrest.library.number.ordering_comparison</span> <span class="k">import</span> <span class="n">greater_than</span>

 <span class="kn">import</span> <span class="nn">apache_beam</span> <span class="k">as</span> <span class="nn">beam</span>
 <span class="kn">from</span> <span class="nn">apache_beam.metrics</span> <span class="k">import</span> <span class="n">Metrics</span>
 <span class="kn">from</span> <span class="nn">apache_beam.testing.metric_result_matchers</span> <span class="k">import</span> <span class="n">DistributionMatcher</span>
 <span class="kn">from</span> <span class="nn">apache_beam.testing.metric_result_matchers</span> <span class="k">import</span> <span class="n">MetricResultMatcher</span>

 <span class="n">SLEEP_TIME_SECS</span> <span class="o">=</span> <span class="mi">1</span>
 <span class="n">INPUT</span> <span class="o">=</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">100</span><span class="p">]</span>
 <span class="n">METRIC_NAMESPACE</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;apache_beam.runners.dataflow.&#39;</span>
                     <span class="s1">&#39;dataflow_exercise_metrics_pipeline.UserMetricsDoFn&#39;</span><span class="p">)</span>


 <div class="viewcode-block" id="common_metric_matchers"><a class="viewcode-back" href="../../../../apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline.html#apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline.common_metric_matchers">[docs]</a><span class="k">def</span> <span class="nf">common_metric_matchers</span><span class="p">():</span>
   <span class="sd">&quot;&quot;&quot;MetricResult matchers common to all tests.&quot;&quot;&quot;</span>
   <span class="c1"># TODO(ajamato): Matcher for the &#39;metrics&#39; step&#39;s ElementCount.</span>
   <span class="c1"># TODO(ajamato): Matcher for the &#39;metrics&#39; step&#39;s MeanByteCount.</span>
   <span class="c1"># TODO(ajamato): Matcher for the start and finish exec times.</span>
   <span class="c1"># TODO(ajamato): Matcher for a gauge metric once implemented in dataflow.</span>
   <span class="n">matchers</span> <span class="o">=</span> <span class="p">[</span>
       <span class="c1"># User Counter Metrics.</span>
       <span class="n">MetricResultMatcher</span><span class="p">(</span>
           <span class="n">name</span><span class="o">=</span><span class="s1">&#39;total_values&#39;</span><span class="p">,</span>
           <span class="n">namespace</span><span class="o">=</span><span class="n">METRIC_NAMESPACE</span><span class="p">,</span>
           <span class="n">step</span><span class="o">=</span><span class="s1">&#39;metrics&#39;</span><span class="p">,</span>
           <span class="n">attempted</span><span class="o">=</span><span class="nb">sum</span><span class="p">(</span><span class="n">INPUT</span><span class="p">),</span>
           <span class="n">committed</span><span class="o">=</span><span class="nb">sum</span><span class="p">(</span><span class="n">INPUT</span><span class="p">)</span>
       <span class="p">),</span>
       <span class="n">MetricResultMatcher</span><span class="p">(</span>
           <span class="n">name</span><span class="o">=</span><span class="s1">&#39;ExecutionTime_StartBundle&#39;</span><span class="p">,</span>
           <span class="n">step</span><span class="o">=</span><span class="s1">&#39;metrics&#39;</span><span class="p">,</span>
           <span class="n">attempted</span><span class="o">=</span><span class="n">greater_than</span><span class="p">(</span><span class="mi">0</span><span class="p">),</span>
           <span class="n">committed</span><span class="o">=</span><span class="n">greater_than</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
       <span class="p">),</span>
       <span class="n">MetricResultMatcher</span><span class="p">(</span>
           <span class="n">name</span><span class="o">=</span><span class="s1">&#39;ExecutionTime_ProcessElement&#39;</span><span class="p">,</span>
           <span class="n">step</span><span class="o">=</span><span class="s1">&#39;metrics&#39;</span><span class="p">,</span>
           <span class="n">attempted</span><span class="o">=</span><span class="n">greater_than</span><span class="p">(</span><span class="mi">0</span><span class="p">),</span>
           <span class="n">committed</span><span class="o">=</span><span class="n">greater_than</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
       <span class="p">),</span>
       <span class="n">MetricResultMatcher</span><span class="p">(</span>
           <span class="n">name</span><span class="o">=</span><span class="s1">&#39;ExecutionTime_FinishBundle&#39;</span><span class="p">,</span>
           <span class="n">step</span><span class="o">=</span><span class="s1">&#39;metrics&#39;</span><span class="p">,</span>
           <span class="n">attempted</span><span class="o">=</span><span class="n">greater_than</span><span class="p">(</span><span class="mi">0</span><span class="p">),</span>
           <span class="n">committed</span><span class="o">=</span><span class="n">greater_than</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
       <span class="p">)</span>
   <span class="p">]</span>

   <span class="n">pcoll_names</span> <span class="o">=</span> <span class="p">[</span>
       <span class="s1">&#39;GroupByKey/Reify-out0&#39;</span><span class="p">,</span>
       <span class="s1">&#39;GroupByKey/Read-out0&#39;</span><span class="p">,</span>
       <span class="s1">&#39;map_to_common_key-out0&#39;</span><span class="p">,</span>
       <span class="s1">&#39;GroupByKey/GroupByWindow-out0&#39;</span><span class="p">,</span>
       <span class="s1">&#39;GroupByKey/Read-out0&#39;</span><span class="p">,</span>
       <span class="s1">&#39;GroupByKey/Reify-out0&#39;</span>
   <span class="p">]</span>
   <span class="k">for</span> <span class="n">name</span> <span class="ow">in</span> <span class="n">pcoll_names</span><span class="p">:</span>
     <span class="n">matchers</span><span class="o">.</span><span class="n">extend</span><span class="p">([</span>
         <span class="n">MetricResultMatcher</span><span class="p">(</span>
             <span class="n">name</span><span class="o">=</span><span class="s1">&#39;ElementCount&#39;</span><span class="p">,</span>
             <span class="n">labels</span><span class="o">=</span><span class="p">{</span>
                 <span class="s1">&#39;output_user_name&#39;</span><span class="p">:</span> <span class="n">name</span><span class="p">,</span>
                 <span class="s1">&#39;original_name&#39;</span><span class="p">:</span> <span class="s1">&#39;</span><span class="si">%s</span><span class="s1">-ElementCount&#39;</span> <span class="o">%</span> <span class="n">name</span>
             <span class="p">},</span>
             <span class="n">attempted</span><span class="o">=</span><span class="n">greater_than</span><span class="p">(</span><span class="mi">0</span><span class="p">),</span>
             <span class="n">committed</span><span class="o">=</span><span class="n">greater_than</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
         <span class="p">),</span>
         <span class="n">MetricResultMatcher</span><span class="p">(</span>
             <span class="n">name</span><span class="o">=</span><span class="s1">&#39;MeanByteCount&#39;</span><span class="p">,</span>
             <span class="n">labels</span><span class="o">=</span><span class="p">{</span>
                 <span class="s1">&#39;output_user_name&#39;</span><span class="p">:</span> <span class="n">name</span><span class="p">,</span>
                 <span class="s1">&#39;original_name&#39;</span><span class="p">:</span> <span class="s1">&#39;</span><span class="si">%s</span><span class="s1">-MeanByteCount&#39;</span> <span class="o">%</span> <span class="n">name</span>
             <span class="p">},</span>
             <span class="n">attempted</span><span class="o">=</span><span class="n">greater_than</span><span class="p">(</span><span class="mi">0</span><span class="p">),</span>
             <span class="n">committed</span><span class="o">=</span><span class="n">greater_than</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
         <span class="p">),</span>
     <span class="p">])</span>
   <span class="k">return</span> <span class="n">matchers</span></div>


 <div class="viewcode-block" id="fn_api_metric_matchers"><a class="viewcode-back" href="../../../../apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline.html#apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline.fn_api_metric_matchers">[docs]</a><span class="k">def</span> <span class="nf">fn_api_metric_matchers</span><span class="p">():</span>
   <span class="sd">&quot;&quot;&quot;MetricResult matchers with adjusted step names for the FN API DF test.&quot;&quot;&quot;</span>
   <span class="n">matchers</span> <span class="o">=</span> <span class="n">common_metric_matchers</span><span class="p">()</span>
   <span class="k">return</span> <span class="n">matchers</span></div>


 <div class="viewcode-block" id="legacy_metric_matchers"><a class="viewcode-back" href="../../../../apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline.html#apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline.legacy_metric_matchers">[docs]</a><span class="k">def</span> <span class="nf">legacy_metric_matchers</span><span class="p">():</span>
   <span class="sd">&quot;&quot;&quot;MetricResult matchers with adjusted step names for the legacy DF test.&quot;&quot;&quot;</span>
   <span class="c1"># TODO(ajamato): Move these to the common_metric_matchers once implemented</span>
   <span class="c1"># in the FN API.</span>
   <span class="n">matchers</span> <span class="o">=</span> <span class="n">common_metric_matchers</span><span class="p">()</span>
   <span class="n">matchers</span><span class="o">.</span><span class="n">extend</span><span class="p">([</span>
       <span class="c1"># User distribution metric, legacy DF only.</span>
       <span class="n">MetricResultMatcher</span><span class="p">(</span>
           <span class="n">name</span><span class="o">=</span><span class="s1">&#39;distribution_values&#39;</span><span class="p">,</span>
           <span class="n">namespace</span><span class="o">=</span><span class="n">METRIC_NAMESPACE</span><span class="p">,</span>
           <span class="n">step</span><span class="o">=</span><span class="s1">&#39;metrics&#39;</span><span class="p">,</span>
           <span class="n">attempted</span><span class="o">=</span><span class="n">DistributionMatcher</span><span class="p">(</span>
               <span class="n">sum_value</span><span class="o">=</span><span class="nb">sum</span><span class="p">(</span><span class="n">INPUT</span><span class="p">),</span>
               <span class="n">count_value</span><span class="o">=</span><span class="nb">len</span><span class="p">(</span><span class="n">INPUT</span><span class="p">),</span>
               <span class="n">min_value</span><span class="o">=</span><span class="nb">min</span><span class="p">(</span><span class="n">INPUT</span><span class="p">),</span>
               <span class="n">max_value</span><span class="o">=</span><span class="nb">max</span><span class="p">(</span><span class="n">INPUT</span><span class="p">)</span>
           <span class="p">),</span>
           <span class="n">committed</span><span class="o">=</span><span class="n">DistributionMatcher</span><span class="p">(</span>
               <span class="n">sum_value</span><span class="o">=</span><span class="nb">sum</span><span class="p">(</span><span class="n">INPUT</span><span class="p">),</span>
               <span class="n">count_value</span><span class="o">=</span><span class="nb">len</span><span class="p">(</span><span class="n">INPUT</span><span class="p">),</span>
               <span class="n">min_value</span><span class="o">=</span><span class="nb">min</span><span class="p">(</span><span class="n">INPUT</span><span class="p">),</span>
               <span class="n">max_value</span><span class="o">=</span><span class="nb">max</span><span class="p">(</span><span class="n">INPUT</span><span class="p">)</span>
           <span class="p">),</span>
       <span class="p">),</span>
       <span class="c1"># Element count and MeanByteCount for a User ParDo.</span>
       <span class="n">MetricResultMatcher</span><span class="p">(</span>
           <span class="n">name</span><span class="o">=</span><span class="s1">&#39;ElementCount&#39;</span><span class="p">,</span>
           <span class="n">labels</span><span class="o">=</span><span class="p">{</span>
               <span class="s1">&#39;output_user_name&#39;</span><span class="p">:</span> <span class="s1">&#39;metrics-out0&#39;</span><span class="p">,</span>
               <span class="s1">&#39;original_name&#39;</span><span class="p">:</span> <span class="s1">&#39;metrics-out0-ElementCount&#39;</span>
           <span class="p">},</span>
           <span class="n">attempted</span><span class="o">=</span><span class="n">greater_than</span><span class="p">(</span><span class="mi">0</span><span class="p">),</span>
           <span class="n">committed</span><span class="o">=</span><span class="n">greater_than</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
       <span class="p">),</span>
       <span class="n">MetricResultMatcher</span><span class="p">(</span>
           <span class="n">name</span><span class="o">=</span><span class="s1">&#39;MeanByteCount&#39;</span><span class="p">,</span>
           <span class="n">labels</span><span class="o">=</span><span class="p">{</span>
               <span class="s1">&#39;output_user_name&#39;</span><span class="p">:</span> <span class="s1">&#39;metrics-out0&#39;</span><span class="p">,</span>
               <span class="s1">&#39;original_name&#39;</span><span class="p">:</span> <span class="s1">&#39;metrics-out0-MeanByteCount&#39;</span>
           <span class="p">},</span>
           <span class="n">attempted</span><span class="o">=</span><span class="n">greater_than</span><span class="p">(</span><span class="mi">0</span><span class="p">),</span>
           <span class="n">committed</span><span class="o">=</span><span class="n">greater_than</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
       <span class="p">),</span>
   <span class="p">])</span>
   <span class="k">return</span> <span class="n">matchers</span></div>


 <div class="viewcode-block" id="UserMetricsDoFn"><a class="viewcode-back" href="../../../../apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline.html#apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline.UserMetricsDoFn">[docs]</a><span class="k">class</span> <span class="nc">UserMetricsDoFn</span><span class="p">(</span><span class="n">beam</span><span class="o">.</span><span class="n">DoFn</span><span class="p">):</span>
   <span class="sd">&quot;&quot;&quot;Parse each line of input text into words.&quot;&quot;&quot;</span>

   <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
     <span class="bp">self</span><span class="o">.</span><span class="n">total_metric</span> <span class="o">=</span> <span class="n">Metrics</span><span class="o">.</span><span class="n">counter</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="p">,</span> <span class="s1">&#39;total_values&#39;</span><span class="p">)</span>
     <span class="bp">self</span><span class="o">.</span><span class="n">dist_metric</span> <span class="o">=</span> <span class="n">Metrics</span><span class="o">.</span><span class="n">distribution</span><span class="p">(</span>
         <span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="p">,</span> <span class="s1">&#39;distribution_values&#39;</span><span class="p">)</span>
     <span class="c1"># TODO(ajamato): Add a verifier for gauge once it is supported by the SDKs</span>
     <span class="c1"># and runners.</span>
     <span class="bp">self</span><span class="o">.</span><span class="n">latest_metric</span> <span class="o">=</span> <span class="n">Metrics</span><span class="o">.</span><span class="n">gauge</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="p">,</span> <span class="s1">&#39;latest_value&#39;</span><span class="p">)</span>

 <div class="viewcode-block" id="UserMetricsDoFn.start_bundle"><a class="viewcode-back" href="../../../../apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline.html#apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline.UserMetricsDoFn.start_bundle">[docs]</a>  <span class="k">def</span> <span class="nf">start_bundle</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
     <span class="n">time</span><span class="o">.</span><span class="n">sleep</span><span class="p">(</span><span class="n">SLEEP_TIME_SECS</span><span class="p">)</span></div>

 <div class="viewcode-block" id="UserMetricsDoFn.process"><a class="viewcode-back" href="../../../../apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline.html#apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline.UserMetricsDoFn.process">[docs]</a>  <span class="k">def</span> <span class="nf">process</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">element</span><span class="p">):</span>
     <span class="sd">&quot;&quot;&quot;Returns the processed element and increments the metrics.&quot;&quot;&quot;</span>
     <span class="n">elem_int</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">element</span><span class="p">)</span>
     <span class="bp">self</span><span class="o">.</span><span class="n">total_metric</span><span class="o">.</span><span class="n">inc</span><span class="p">(</span><span class="n">elem_int</span><span class="p">)</span>
     <span class="bp">self</span><span class="o">.</span><span class="n">dist_metric</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">elem_int</span><span class="p">)</span>
     <span class="bp">self</span><span class="o">.</span><span class="n">latest_metric</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">elem_int</span><span class="p">)</span>
     <span class="n">time</span><span class="o">.</span><span class="n">sleep</span><span class="p">(</span><span class="n">SLEEP_TIME_SECS</span><span class="p">)</span>
     <span class="k">return</span> <span class="p">[</span><span class="n">elem_int</span><span class="p">]</span></div>

 <div class="viewcode-block" id="UserMetricsDoFn.finish_bundle"><a class="viewcode-back" href="../../../../apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline.html#apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline.UserMetricsDoFn.finish_bundle">[docs]</a>  <span class="k">def</span> <span class="nf">finish_bundle</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
     <span class="n">time</span><span class="o">.</span><span class="n">sleep</span><span class="p">(</span><span class="n">SLEEP_TIME_SECS</span><span class="p">)</span></div></div>


 <div class="viewcode-block" id="apply_and_run"><a class="viewcode-back" href="../../../../apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline.html#apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline.apply_and_run">[docs]</a><span class="k">def</span> <span class="nf">apply_and_run</span><span class="p">(</span><span class="n">pipeline</span><span class="p">):</span>
   <span class="sd">&quot;&quot;&quot;Given an initialized Pipeline applies transforms and runs it.&quot;&quot;&quot;</span>
   <span class="n">_</span> <span class="o">=</span> <span class="p">(</span><span class="n">pipeline</span>
        <span class="o">|</span> <span class="n">beam</span><span class="o">.</span><span class="n">Create</span><span class="p">(</span><span class="n">INPUT</span><span class="p">)</span>
        <span class="o">|</span> <span class="s1">&#39;metrics&#39;</span> <span class="o">&gt;&gt;</span> <span class="p">(</span><span class="n">beam</span><span class="o">.</span><span class="n">ParDo</span><span class="p">(</span><span class="n">UserMetricsDoFn</span><span class="p">()))</span>
        <span class="o">|</span> <span class="s1">&#39;map_to_common_key&#39;</span> <span class="o">&gt;&gt;</span> <span class="n">beam</span><span class="o">.</span><span class="n">Map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="p">(</span><span class="s1">&#39;key&#39;</span><span class="p">,</span> <span class="n">x</span><span class="p">))</span>
        <span class="o">|</span> <span class="n">beam</span><span class="o">.</span><span class="n">GroupByKey</span><span class="p">()</span>
        <span class="o">|</span> <span class="s1">&#39;m_out&#39;</span> <span class="o">&gt;&gt;</span> <span class="n">beam</span><span class="o">.</span><span class="n">FlatMap</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="p">[</span>
            <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span>
            <span class="n">beam</span><span class="o">.</span><span class="n">pvalue</span><span class="o">.</span><span class="n">TaggedOutput</span><span class="p">(</span><span class="s1">&#39;once&#39;</span><span class="p">,</span> <span class="n">x</span><span class="p">),</span>
            <span class="n">beam</span><span class="o">.</span><span class="n">pvalue</span><span class="o">.</span><span class="n">TaggedOutput</span><span class="p">(</span><span class="s1">&#39;twice&#39;</span><span class="p">,</span> <span class="n">x</span><span class="p">),</span>
            <span class="n">beam</span><span class="o">.</span><span class="n">pvalue</span><span class="o">.</span><span class="n">TaggedOutput</span><span class="p">(</span><span class="s1">&#39;twice&#39;</span><span class="p">,</span> <span class="n">x</span><span class="p">)])</span>
       <span class="p">)</span>
   <span class="n">result</span> <span class="o">=</span> <span class="n">pipeline</span><span class="o">.</span><span class="n">run</span><span class="p">()</span>
   <span class="n">result</span><span class="o">.</span><span class="n">wait_until_finish</span><span class="p">()</span>
   <span class="k">return</span> <span class="n">result</span></div>
 </pre></div>

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