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  <h1>Data lake measure</h1>

<div class="doc doc-object doc-module">


<a id="streampipes.endpoint.api.data_lake_measure"></a>
  <div class="doc doc-contents first">
  
      <p>Specific implementation of the StreamPipes API's data lake measure endpoints.
This endpoint allows to consume data stored in StreamPipes' data lake.</p>

  
  <div class="doc doc-children">


<div class="doc doc-object doc-class">


<h2 id="streampipes.endpoint.api.data_lake_measure.DataLakeMeasureEndpoint" class="doc doc-heading">
        <code>DataLakeMeasureEndpoint</code>


<a href="#streampipes.endpoint.api.data_lake_measure.DataLakeMeasureEndpoint" class="headerlink" title="Permanent link">&para;</a></h2>


  <div class="doc doc-contents ">
      <p class="doc doc-class-bases">
        Bases: <code><a class="autorefs autorefs-internal" title="streampipes.endpoint.endpoint.APIEndpoint" href="../../endpoint/#streampipes.endpoint.endpoint.APIEndpoint">APIEndpoint</a></code></p>

  
      <p>Implementation of the DataLakeMeasure endpoint.</p>
<p>This endpoint provides an interfact to all data stored in the StreamPipes data lake.</p>
<p>Consequently, it allows uerying metadata about available data sets (see <code>all()</code> method).
The metadata is returned as an instance of <a class="autorefs autorefs-internal" href="../../../model/container/data_lake_measures/#streampipes.model.container.data_lake_measures.DataLakeMeasures"><code>DataLakeMeasures</code></a>.</p>
<p>In addition, the endpoint provides direct access to the data stored in the data laka by querying a
specific data lake measure using the <code>get()</code> method.</p>

<p><strong>Examples:</strong></p>
    <div class="language-python highlight"><pre><span></span><code><span class="kn">from</span> <span class="nn">streampipes.client</span> <span class="kn">import</span> <span class="n">StreamPipesClient</span>
<span class="kn">from</span> <span class="nn">streampipes.client.config</span> <span class="kn">import</span> <span class="n">StreamPipesClientConfig</span>
<span class="kn">from</span> <span class="nn">streampipes.client.credential_provider</span> <span class="kn">import</span> <span class="n">StreamPipesApiKeyCredentials</span>
</code></pre></div>
<div class="language-python highlight"><pre><span></span><code><span class="n">client_config</span> <span class="o">=</span> <span class="n">StreamPipesClientConfig</span><span class="p">(</span>
    <span class="n">credential_provider</span><span class="o">=</span><span class="n">StreamPipesApiKeyCredentials</span><span class="p">(</span><span class="n">username</span><span class="o">=</span><span class="s2">&quot;test-user&quot;</span><span class="p">,</span> <span class="n">api_key</span><span class="o">=</span><span class="s2">&quot;api-key&quot;</span><span class="p">),</span>
    <span class="n">host_address</span><span class="o">=</span><span class="s2">&quot;localhost&quot;</span><span class="p">,</span>
    <span class="n">port</span><span class="o">=</span><span class="mi">8082</span><span class="p">,</span>
    <span class="n">https_disabled</span><span class="o">=</span><span class="kc">True</span>
<span class="p">)</span>
<span class="n">client</span> <span class="o">=</span> <span class="n">StreamPipesClient</span><span class="o">.</span><span class="n">create</span><span class="p">(</span><span class="n">client_config</span><span class="o">=</span><span class="n">client_config</span><span class="p">)</span>
</code></pre></div>
<p><div class="language-text highlight"><pre><span></span><code># get all existing data lake measures from StreamPipes
data_lake_measures = client.dataLakeMeasureApi.all()

# let&#39;s take a look how many we got
len(data_lake_measures)
</code></pre></div>
<div class="language-text highlight"><pre><span></span><code>5
</code></pre></div></p>
<p><div class="language-python highlight"><pre><span></span><code><span class="c1"># Retrieve a specific data lake measure as a pandas DataFrame</span>
<span class="n">flow_rate_pd</span> <span class="o">=</span> <span class="n">client</span><span class="o">.</span><span class="n">dataLakeMeasureApi</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">identifier</span><span class="o">=</span><span class="s2">&quot;flow-rate&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span>
<span class="n">flow_rate_pd</span>
</code></pre></div>
<div class="language-text highlight"><pre><span></span><code>                         time    density  mass_flow    sensorId  sensor_fault_flags  temperature  volume_flow
0    2023-02-24T16:19:41.472Z  50.872730   3.309556  flowrate02               False    44.448483     5.793138
1    2023-02-24T16:19:41.482Z  47.186588   5.608580  flowrate02               False    40.322033     0.058015
2    2023-02-24T16:19:41.493Z  46.735321   7.692881  flowrate02               False    49.239639    10.283526
3    2023-02-24T16:19:41.503Z  40.169796   3.632898  flowrate02               False    49.933754     6.893441
4    2023-02-24T16:19:41.513Z  49.635124   0.711260  flowrate02               False    50.106617     2.999871
..                        ...        ...        ...         ...                 ...          ...          ...
995  2023-02-24T16:19:52.927Z  50.057495   1.740114  flowrate02               False    46.558231     1.818237
996  2023-02-24T16:19:52.94Z   41.038895   7.211723  flowrate02               False    48.048622     2.127493
997  2023-02-24T16:19:52.952Z  45.837013   7.770180  flowrate02               False    48.188026     7.892062
998  2023-02-24T16:19:52.965Z  43.389065   4.458602  flowrate02               False    48.280899     5.733892
999  2023-02-24T16:19:52.977Z  44.056030   2.592060  flowrate02               False    47.505951     4.260697
</code></pre></div></p>
<p>As you can see, the returned amount of rows per default is <code>1000</code>.
We can modify this behavior by passing the <code>limit</code> paramter.
<div class="language-python highlight"><pre><span></span><code><span class="n">flow_rate_pd</span> <span class="o">=</span> <span class="n">client</span><span class="o">.</span><span class="n">dataLakeMeasureApi</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">identifier</span><span class="o">=</span><span class="s2">&quot;flow-rate&quot;</span><span class="p">,</span> <span class="n">limit</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span>
<span class="nb">len</span><span class="p">(</span><span class="n">flow_rate_pd</span><span class="p">)</span>
</code></pre></div>
<div class="language-text highlight"><pre><span></span><code>10
</code></pre></div></p>
<p>If we are only interested in the values for <code>density</code>,
<code>columns</code> allows us to select the columns to be returned:
<div class="language-python highlight"><pre><span></span><code><span class="n">flow_rate_pd</span> <span class="o">=</span> <span class="n">client</span><span class="o">.</span><span class="n">dataLakeMeasureApi</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">identifier</span><span class="o">=</span><span class="s2">&quot;flow-rate&quot;</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="s1">&#39;density&#39;</span><span class="p">,</span> <span class="n">limit</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span>
<span class="n">flow_rate_pd</span>
</code></pre></div>
<div class="language-text highlight"><pre><span></span><code>                       time    density
0  2023-02-24T16:19:41.472Z  50.872730
1  2023-02-24T16:19:41.482Z  47.186588
2  2023-02-24T16:19:41.493Z  46.735321
</code></pre></div></p>
<p>This is only a subset of the available query parameters,
find them at <a class="autorefs autorefs-internal" href="#streampipes.endpoint.api.data_lake_measure.MeasurementGetQueryConfig">MeasurementGetQueryConfig</a>.</p>


  <div class="doc doc-children">


<div class="doc doc-object doc-function">


<h3 id="streampipes.endpoint.api.data_lake_measure.DataLakeMeasureEndpoint.get" class="doc doc-heading">
<code class="highlight language-python"><span class="n">get</span><span class="p">(</span><span class="n">identifier</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></code>

<a href="#streampipes.endpoint.api.data_lake_measure.DataLakeMeasureEndpoint.get" class="headerlink" title="Permanent link">&para;</a></h3>


  <div class="doc doc-contents ">
  
      <p>Queries the specified data lake measure from the API.</p>
<p>By default, the maximum number of returned records is 1000.
This behaviour can be influenced by passing the parameter <code>limit</code> with a different value
(see <a class="autorefs autorefs-internal" href="#streampipes.endpoint.api.data_lake_measure.MeasurementGetQueryConfig">MeasurementGetQueryConfig</a>).</p>

  <table>
    <thead>
      <tr>
        <th><b>PARAMETER</b></th>
        <th><b>DESCRIPTION</b></th>
      </tr>
    </thead>
    <tbody>
        <tr>
          <td><code>identifier</code></td>
          <td class="doc-param-details">
            <p>The identifier of the data lake measure to be queried.</p>
            <p>
                <span class="doc-param-annotation">
                  <b>TYPE:</b>
                    <code>str</code>
                </span>
            </p>
          </td>
        </tr>
        <tr>
          <td><code>**kwargs</code></td>
          <td class="doc-param-details">
            <p>keyword arguments can be used to provide additional query parameters.
The available query parameters are defined by the
<a class="autorefs autorefs-internal" href="#streampipes.endpoint.api.data_lake_measure.MeasurementGetQueryConfig">MeasurementGetQueryConfig</a>.</p>
            <p>
                <span class="doc-param-annotation">
                  <b>TYPE:</b>
                    <code><span title="typing.Optional">Optional</span>[<span title="typing.Dict">Dict</span>[str, <span title="typing.Any">Any</span>]]</code>
                </span>
                <span class="doc-param-default">
                  <b>DEFAULT:</b> 
                    <code>{}</code>
                </span>
            </p>
          </td>
        </tr>
    </tbody>
  </table>

  <table>
    <thead>
      <tr>
        <th><b>RETURNS</b></th>
        <th><b>DESCRIPTION</b></th>
      </tr>
    </thead>
    <tbody>
        <tr>
          <td>
              <code>measurement</code>
          </td>
          <td class="doc-returns-details">
            <p>the specified data lake measure</p>
              <p>
                <span class="doc-returns-annotation">
                  <b>TYPE:</b>
                    <code><a class="autorefs autorefs-internal" title="streampipes.model.container.DataLakeMeasures" href="../../../model/container/data_lake_measures/#streampipes.model.container.data_lake_measures.DataLakeMeasures">DataLakeMeasures</a></code>
                </span>
              </p>
          </td>
        </tr>
    </tbody>
  </table>

<p><strong>Examples:</strong></p>
    <p>see directly at <a class="autorefs autorefs-internal" href="#streampipes.endpoint.api.data_lake_measure.DataLakeMeasureEndpoint">DataLakeMeasureEndpoint</a>.</p>

  </div>

</div>


  </div>

  </div>

</div>

<div class="doc doc-object doc-class">


<h2 id="streampipes.endpoint.api.data_lake_measure.MeasurementGetQueryConfig" class="doc doc-heading">
        <code>MeasurementGetQueryConfig</code>


<a href="#streampipes.endpoint.api.data_lake_measure.MeasurementGetQueryConfig" class="headerlink" title="Permanent link">&para;</a></h2>


  <div class="doc doc-contents ">
      <p class="doc doc-class-bases">
        Bases: <code><span title="pydantic.BaseModel">BaseModel</span></code></p>

  
      <p>Config class describing the parameters of the <code>get()</code> method for measurements.</p>
<p>This config class is used to validate the provided query parameters for the GET endpoint of measurements.
Additionally, it takes care of the conversion to a proper HTTP query string.
Thereby, parameter names are adapted to the naming of the StreamPipes API,
for which <a href="https://docs.pydantic.dev/usage/model_config/#options">Pydantic aliases</a> are used.</p>

  <table>
    <thead>
      <tr>
        <th><b>ATTRIBUTE</b></th>
        <th><b>DESCRIPTION</b></th>
      </tr>
    </thead>
    <tbody>
        <tr>
          <td><code>columns</code></td>
          <td class="doc-attribute-details">
            <p>A comma separated list of column names (e.g., <code>time,value</code>)<br>
If provided, the returned data only consists of the given columns.<br>
Please be aware that the column <code>time</code> as an index is always included.</p>
            <p>
                <span class="doc-attribute-annotation">
                  <b>TYPE:</b>
                    <code><span title="typing.Optional">Optional</span>[str]</code>
                </span>
            </p>
          </td>
        </tr>
        <tr>
          <td><code>end_date</code></td>
          <td class="doc-attribute-details">
            <p>Restricts queried data to be younger than the specified time.</p>
            <p>
                <span class="doc-attribute-annotation">
                  <b>TYPE:</b>
                    <code><span title="typing.Optional">Optional</span>[<span title="datetime.datetime">datetime</span>]</code>
                </span>
            </p>
          </td>
        </tr>
        <tr>
          <td><code>limit</code></td>
          <td class="doc-attribute-details">
            <p>Amount of records returned at maximum (default: <code>1000</code>) <br>
This needs to be at least <code>1</code></p>
            <p>
                <span class="doc-attribute-annotation">
                  <b>TYPE:</b>
                    <code><span title="typing.Optional">Optional</span>[int]</code>
                </span>
            </p>
          </td>
        </tr>
        <tr>
          <td><code>offset</code></td>
          <td class="doc-attribute-details">
            <p>Offset to be applied to returned data <br>
This needs to be at least <code>0</code></p>
            <p>
                <span class="doc-attribute-annotation">
                  <b>TYPE:</b>
                    <code><span title="typing.Optional">Optional</span>[int]</code>
                </span>
            </p>
          </td>
        </tr>
        <tr>
          <td><code>order</code></td>
          <td class="doc-attribute-details">
            <p>Ordering of query results <br>
Allowed values: <code>ASC</code> and <code>DESC</code> (default: <code>ASC</code>)</p>
            <p>
                <span class="doc-attribute-annotation">
                  <b>TYPE:</b>
                    <code><span title="typing.Optional">Optional</span>[str]</code>
                </span>
            </p>
          </td>
        </tr>
        <tr>
          <td><code>page_no</code></td>
          <td class="doc-attribute-details">
            <p>Page number used for paging operation <br>
This needs to be at least <code>1</code></p>
            <p>
                <span class="doc-attribute-annotation">
                  <b>TYPE:</b>
                    <code><span title="typing.Optional">Optional</span>[int]</code>
                </span>
            </p>
          </td>
        </tr>
        <tr>
          <td><code>start_date</code></td>
          <td class="doc-attribute-details">
            <p>Restricts queried data to be older than the specified time</p>
            <p>
                <span class="doc-attribute-annotation">
                  <b>TYPE:</b>
                    <code><span title="typing.Optional">Optional</span>[<span title="datetime.datetime">datetime</span>]</code>
                </span>
            </p>
          </td>
        </tr>
    </tbody>
  </table>


  <div class="doc doc-children">


<div class="doc doc-object doc-class">


<h3 id="streampipes.endpoint.api.data_lake_measure.MeasurementGetQueryConfig.Config" class="doc doc-heading">
        <code>Config</code>


<a href="#streampipes.endpoint.api.data_lake_measure.MeasurementGetQueryConfig.Config" class="headerlink" title="Permanent link">&para;</a></h3>


  <div class="doc doc-contents ">

  
      <p>Pydantic Config class</p>


  <div class="doc doc-children">


  </div>

  </div>

</div>


<div class="doc doc-object doc-function">


<h3 id="streampipes.endpoint.api.data_lake_measure.MeasurementGetQueryConfig.build_query_string" class="doc doc-heading">
<code class="highlight language-python"><span class="n">build_query_string</span><span class="p">()</span></code>

<a href="#streampipes.endpoint.api.data_lake_measure.MeasurementGetQueryConfig.build_query_string" class="headerlink" title="Permanent link">&para;</a></h3>


  <div class="doc doc-contents ">
  
      <p>Builds a HTTP query string for the config.</p>
<p>This method returns an HTTP query string for the invoking config.
It follows the following structure <code>?param1=value1&amp;param2=value2...</code>.
This query string is not an entire URL, instead it needs to appended to an API path.</p>

  <table>
    <thead>
      <tr>
        <th><b>RETURNS</b></th>
        <th><b>DESCRIPTION</b></th>
      </tr>
    </thead>
    <tbody>
        <tr>
          <td>
              <code>query_param_string</code>
          </td>
          <td class="doc-returns-details">
            <p>HTTP query params string (<code>?param1=value1&amp;param2=value2...</code>)</p>
              <p>
                <span class="doc-returns-annotation">
                  <b>TYPE:</b>
                    <code>str</code>
                </span>
              </p>
          </td>
        </tr>
    </tbody>
  </table>

  </div>

</div>


  </div>

  </div>

</div>

<div class="doc doc-object doc-class">


<h2 id="streampipes.endpoint.api.data_lake_measure.StreamPipesQueryValidationError" class="doc doc-heading">
        <code>StreamPipesQueryValidationError</code>


<a href="#streampipes.endpoint.api.data_lake_measure.StreamPipesQueryValidationError" class="headerlink" title="Permanent link">&para;</a></h2>


  <div class="doc doc-contents ">
      <p class="doc doc-class-bases">
        Bases: <code>Exception</code></p>

  
      <p>A custom exception to be raised when the validation of query parameter
causes an error.</p>


  </div>

</div>


  </div>

  </div>

</div>


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