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<section id="module-apache_beam.ml.transforms.handlers">
<span id="apache-beam-ml-transforms-handlers-module"></span><h1>apache_beam.ml.transforms.handlers module<a class="headerlink" href="#module-apache_beam.ml.transforms.handlers" title="Link to this heading"></a></h1>
<dl class="py class">
<dt class="sig sig-object py" id="apache_beam.ml.transforms.handlers.TFTProcessHandler">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">apache_beam.ml.transforms.handlers.</span></span><span class="sig-name descname"><span class="pre">TFTProcessHandler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">artifact_location</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">transforms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/collections.abc.html#collections.abc.Sequence" title="(in Python v3.13)"><span class="pre">Sequence</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="apache_beam.ml.transforms.tft.html#apache_beam.ml.transforms.tft.TFTOperation" title="apache_beam.ml.transforms.tft.TFTOperation"><span class="pre">TFTOperation</span></a><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">artifact_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'produce'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/transforms/handlers.html#TFTProcessHandler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.transforms.handlers.TFTProcessHandler" title="Link to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="apache_beam.ml.transforms.base.html#apache_beam.ml.transforms.base.ProcessHandler" title="apache_beam.ml.transforms.base.ProcessHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">ProcessHandler</span></code></a>[<a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.NamedTuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">NamedTuple</span></code></a> | <a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.Row" title="apache_beam.pvalue.Row"><code class="xref py py-class docutils literal notranslate"><span class="pre">Row</span></code></a> | <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code></a>[<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a>, <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a> | <a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code></a> | <a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code></a> | <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#bytes" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">bytes</span></code></a> | <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v2.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">ndarray</span></code></a>], <a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.Row" title="apache_beam.pvalue.Row"><code class="xref py py-class docutils literal notranslate"><span class="pre">Row</span></code></a> | <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code></a>[<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a>, <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v2.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">ndarray</span></code></a>]]</p>
<p>A handler class for processing data with TensorFlow Transform (TFT)
operations.</p>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.transforms.handlers.TFTProcessHandler.append_transform">
<span class="sig-name descname"><span class="pre">append_transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">transform</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/transforms/handlers.html#TFTProcessHandler.append_transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.transforms.handlers.TFTProcessHandler.append_transform" title="Link to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.transforms.handlers.TFTProcessHandler.get_raw_data_feature_spec">
<span class="sig-name descname"><span class="pre">get_raw_data_feature_spec</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#type" title="(in Python v3.13)"><span class="pre">type</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.io.VarLenFeature</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/apache_beam/ml/transforms/handlers.html#TFTProcessHandler.get_raw_data_feature_spec"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.transforms.handlers.TFTProcessHandler.get_raw_data_feature_spec" title="Link to this definition"></a></dt>
<dd><p>Return a DatasetMetadata object to be used with
tft_beam.AnalyzeAndTransformDataset.
:param input_types: A dictionary of column names and types.</p>
<dl class="field-list simple">
<dt class="field-odd">Returns<span class="colon">:</span></dt>
<dd class="field-odd"><p>A DatasetMetadata object.</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.transforms.handlers.TFTProcessHandler.convert_raw_data_feature_spec_to_dataset_metadata">
<span class="sig-name descname"><span class="pre">convert_raw_data_feature_spec_to_dataset_metadata</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raw_data_feature_spec</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tensorflow_transform.tf_metadata.dataset_metadata.DatasetMetadata</span></span></span><a class="reference internal" href="_modules/apache_beam/ml/transforms/handlers.html#TFTProcessHandler.convert_raw_data_feature_spec_to_dataset_metadata"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.transforms.handlers.TFTProcessHandler.convert_raw_data_feature_spec_to_dataset_metadata" title="Link to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.transforms.handlers.TFTProcessHandler.get_raw_data_metadata">
<span class="sig-name descname"><span class="pre">get_raw_data_metadata</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#type" title="(in Python v3.13)"><span class="pre">type</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tensorflow_transform.tf_metadata.dataset_metadata.DatasetMetadata</span></span></span><a class="reference internal" href="_modules/apache_beam/ml/transforms/handlers.html#TFTProcessHandler.get_raw_data_metadata"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.transforms.handlers.TFTProcessHandler.get_raw_data_metadata" title="Link to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.transforms.handlers.TFTProcessHandler.write_transform_artifacts">
<span class="sig-name descname"><span class="pre">write_transform_artifacts</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">transform_fn</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">location</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/transforms/handlers.html#TFTProcessHandler.write_transform_artifacts"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.transforms.handlers.TFTProcessHandler.write_transform_artifacts" title="Link to this definition"></a></dt>
<dd><p>Write transform artifacts to the given location.
:param transform_fn: A transform_fn object.
:param location: A location to write the artifacts.</p>
<dl class="field-list simple">
<dt class="field-odd">Returns<span class="colon">:</span></dt>
<dd class="field-odd"><p>A PCollection of WriteTransformFn writing a TF transform graph.</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.transforms.handlers.TFTProcessHandler.process_data_fn">
<span class="sig-name descname"><span class="pre">process_data_fn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow_transform.common_types.ConsistentTensorType</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow_transform.common_types.ConsistentTensorType</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/apache_beam/ml/transforms/handlers.html#TFTProcessHandler.process_data_fn"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.transforms.handlers.TFTProcessHandler.process_data_fn" title="Link to this definition"></a></dt>
<dd><p>This method is used in the AnalyzeAndTransformDataset step. It applies
the transforms to the <cite>inputs</cite> in sequential order on the columns
provided for a given transform.
:param inputs: A dictionary of column names and data.</p>
<dl class="field-list simple">
<dt class="field-odd">Returns<span class="colon">:</span></dt>
<dd class="field-odd"><p>A dictionary of column names and transformed data.</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.transforms.handlers.TFTProcessHandler.expand">
<span class="sig-name descname"><span class="pre">expand</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raw_data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.PCollection" title="apache_beam.pvalue.PCollection"><span class="pre">PCollection</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.NamedTuple" title="(in Python v3.13)"><span class="pre">NamedTuple</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.Row" title="apache_beam.pvalue.Row"><span class="pre">Row</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#bytes" title="(in Python v3.13)"><span class="pre">bytes</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v2.3)"><span class="pre">ndarray</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.PCollection" title="apache_beam.pvalue.PCollection"><span class="pre">PCollection</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.Row" title="apache_beam.pvalue.Row"><span class="pre">Row</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v2.3)"><span class="pre">ndarray</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/apache_beam/ml/transforms/handlers.html#TFTProcessHandler.expand"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.transforms.handlers.TFTProcessHandler.expand" title="Link to this definition"></a></dt>
<dd><p>This method also computes the required dataset metadata for the tft
AnalyzeDataset/TransformDataset step.</p>
<p>This method uses tensorflow_transform’s Analyze step to produce the
artifacts and Transform step to apply the transforms on the data.
Artifacts are only produced if the artifact_mode is set to <cite>produce</cite>.
If artifact_mode is set to <cite>consume</cite>, then the artifacts are read from the
artifact_location, which was previously used to store the produced
artifacts.</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.transforms.handlers.TFTProcessHandler.with_exception_handling">
<span class="sig-name descname"><span class="pre">with_exception_handling</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/transforms/handlers.html#TFTProcessHandler.with_exception_handling"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.transforms.handlers.TFTProcessHandler.with_exception_handling" title="Link to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
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