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<h1>Example structured</h1>
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<div class="highlight"><pre><span></span><code><span class="kn">from</span> <span class="nn">presidio_structured</span> <span class="kn">import</span> <span class="n">StructuredEngine</span><span class="p">,</span> <span class="n">JsonAnalysisBuilder</span><span class="p">,</span> <span class="n">PandasAnalysisBuilder</span><span class="p">,</span> <span class="n">StructuredAnalysis</span><span class="p">,</span> <span class="n">CsvReader</span><span class="p">,</span> <span class="n">JsonReader</span><span class="p">,</span> <span class="n">JsonDataProcessor</span><span class="p">,</span> <span class="n">PandasDataProcessor</span>
</code></pre></div>
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<p>This sample showcases presidio-structured on structured and semi-structured data containing sensitive data like names, emails, and addresses. It differs from the sample for the batch analyzer/anonymizer engines example, which includes narrative phrases that might contain sensitive data. The presence of personal data embedded in these phrases requires to analyze and to anonymize the text inside the cells, which is not the case for our structured sample, where the sensitive data is already separated into columns.</p>
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<h2 id="loading-in-data">Loading in data</h2>
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<div class="highlight"><pre><span></span><code><span class="n">sample_df</span> <span class="o">=</span> <span class="n">CsvReader</span><span class="p">()</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="s2">&quot;./csv_sample_data/test_structured.csv&quot;</span><span class="p">)</span>
<span class="n">sample_df</span>
</code></pre></div>
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<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>id</th>
<th>name</th>
<th>email</th>
<th>street</th>
<th>city</th>
<th>state</th>
<th>postal_code</th>
</tr>
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<tbody>
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<th>0</th>
<td>1</td>
<td>John Doe</td>
<td>john.doe@example.com</td>
<td>123 Main St</td>
<td>Anytown</td>
<td>CA</td>
<td>12345</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>Jane Smith</td>
<td>jane.smith@example.com</td>
<td>456 Elm St</td>
<td>Somewhere</td>
<td>TX</td>
<td>67890</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>Alice Johnson</td>
<td>alice.johnson@example.com</td>
<td>789 Pine St</td>
<td>Elsewhere</td>
<td>NY</td>
<td>11223</td>
</tr>
</tbody>
</table>
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<div class="highlight"><pre><span></span><code><span class="n">sample_json</span> <span class="o">=</span> <span class="n">JsonReader</span><span class="p">()</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="s2">&quot;./sample_data/test_structured.json&quot;</span><span class="p">)</span>
<span class="n">sample_json</span>
</code></pre></div>
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<code>{'id': 1,
'name': 'John Doe',
'email': 'john.doe@example.com',
'address': {'street': '123 Main St',
'city': 'Anytown',
'state': 'CA',
'postal_code': '12345'}}</code>
</pre>
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<div class="highlight"><pre><span></span><code><span class="c1"># contains nested objects in lists</span>
<span class="n">sample_complex_json</span> <span class="o">=</span> <span class="n">JsonReader</span><span class="p">()</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="s2">&quot;./sample_data/test_structured_complex.json&quot;</span><span class="p">)</span>
<span class="n">sample_complex_json</span>
</code></pre></div>
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<code>{'users': [{'id': 1,
'name': 'John Doe',
'email': 'john.doe@example.com',
'address': {'street': '123 Main St',
'city': 'Anytown',
'state': 'CA',
'postal_code': '12345'}},
{'id': 2,
'name': 'Jane Smith',
'email': 'jane.smith@example.com',
'address': {'street': '456 Elm St',
'city': 'Somewhere',
'state': 'TX',
'postal_code': '67890'}},
{'id': 3,
'name': 'Alice Johnson',
'email': 'alice.johnson@example.com',
'address': {'street': '789 Pine St',
'city': 'Elsewhere',
'state': 'NY',
'postal_code': '11223'}}]}</code>
</pre>
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<h2 id="tabular-csv-data-defining-generating-tabular-analysis-anonymization">Tabular (csv) data: defining &amp; generating tabular analysis, anonymization.</h2>
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<div class="highlight"><pre><span></span><code><span class="c1"># Automatically detect the entity for the columns</span>
<span class="n">tabular_analysis</span> <span class="o">=</span> <span class="n">PandasAnalysisBuilder</span><span class="p">()</span><span class="o">.</span><span class="n">generate_analysis</span><span class="p">(</span><span class="n">sample_df</span><span class="p">)</span>
<span class="n">tabular_analysis</span>
</code></pre></div>
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<code>StructuredAnalysis(entity_mapping={'name': 'PERSON', 'email': 'EMAIL_ADDRESS', 'city': 'LOCATION', 'state': 'LOCATION'})</code>
</pre>
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<div class="highlight"><pre><span></span><code><span class="c1"># anonymized data defaults to be replaced with None, unless operators is specified</span>
<span class="n">pandas_engine</span> <span class="o">=</span> <span class="n">StructuredEngine</span><span class="p">(</span><span class="n">data_processor</span><span class="o">=</span><span class="n">PandasDataProcessor</span><span class="p">())</span>
<span class="n">df_to_be_anonymized</span> <span class="o">=</span> <span class="n">sample_df</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> <span class="c1"># in-place anonymization</span>
<span class="n">anonymized_df</span> <span class="o">=</span> <span class="n">pandas_engine</span><span class="o">.</span><span class="n">anonymize</span><span class="p">(</span><span class="n">df_to_be_anonymized</span><span class="p">,</span> <span class="n">tabular_analysis</span><span class="p">,</span> <span class="n">operators</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span> <span class="c1"># explicit None for clarity</span>
<span class="n">anonymized_df</span>
</code></pre></div>
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<th>name</th>
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<th>city</th>
<th>state</th>
<th>postal_code</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>&lt;None&gt;</td>
<td>&lt;None&gt;</td>
<td>123 Main St</td>
<td>&lt;None&gt;</td>
<td>&lt;None&gt;</td>
<td>12345</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>&lt;None&gt;</td>
<td>&lt;None&gt;</td>
<td>456 Elm St</td>
<td>&lt;None&gt;</td>
<td>&lt;None&gt;</td>
<td>67890</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>&lt;None&gt;</td>
<td>&lt;None&gt;</td>
<td>789 Pine St</td>
<td>&lt;None&gt;</td>
<td>&lt;None&gt;</td>
<td>11223</td>
</tr>
</tbody>
</table>
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<h3 id="we-can-also-define-operators-using-operatorconfig-similar-as-to-the-anonymizerengine">We can also define operators using OperatorConfig similar as to the AnonymizerEngine:</h3>
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<div class="highlight"><pre><span></span><code><span class="kn">from</span> <span class="nn">presidio_anonymizer.entities.engine</span> <span class="kn">import</span> <span class="n">OperatorConfig</span>
<span class="kn">from</span> <span class="nn">faker</span> <span class="kn">import</span> <span class="n">Faker</span>
<span class="n">fake</span> <span class="o">=</span> <span class="n">Faker</span><span class="p">()</span>
<span class="n">operators</span> <span class="o">=</span> <span class="p">{</span>
<span class="s2">&quot;PERSON&quot;</span><span class="p">:</span> <span class="n">OperatorConfig</span><span class="p">(</span><span class="s2">&quot;replace&quot;</span><span class="p">,</span> <span class="p">{</span><span class="s2">&quot;new_value&quot;</span><span class="p">:</span> <span class="s2">&quot;person...&quot;</span><span class="p">}),</span>
<span class="s2">&quot;EMAIL_ADDRESS&quot;</span><span class="p">:</span> <span class="n">OperatorConfig</span><span class="p">(</span><span class="s2">&quot;custom&quot;</span><span class="p">,</span> <span class="p">{</span><span class="s2">&quot;lambda&quot;</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">fake</span><span class="o">.</span><span class="n">safe_email</span><span class="p">()})</span>
<span class="c1"># etc...</span>
<span class="p">}</span>
<span class="n">anonymized_df</span> <span class="o">=</span> <span class="n">pandas_engine</span><span class="o">.</span><span class="n">anonymize</span><span class="p">(</span><span class="n">sample_df</span><span class="p">,</span> <span class="n">tabular_analysis</span><span class="p">,</span> <span class="n">operators</span><span class="o">=</span><span class="n">operators</span><span class="p">)</span>
<span class="n">anonymized_df</span>
</code></pre></div>
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.dataframe thead th {
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}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>id</th>
<th>name</th>
<th>email</th>
<th>street</th>
<th>city</th>
<th>state</th>
<th>postal_code</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>person...</td>
<td>jamestaylor@example.net</td>
<td>123 Main St</td>
<td>&lt;None&gt;</td>
<td>&lt;None&gt;</td>
<td>12345</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>person...</td>
<td>brian49@example.com</td>
<td>456 Elm St</td>
<td>&lt;None&gt;</td>
<td>&lt;None&gt;</td>
<td>67890</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>person...</td>
<td>clarkcody@example.org</td>
<td>789 Pine St</td>
<td>&lt;None&gt;</td>
<td>&lt;None&gt;</td>
<td>11223</td>
</tr>
</tbody>
</table>
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<h2 id="semi-structured-json-data-simple-and-complex-analysis-anonymization">Semi-structured (JSON) data: simple and complex analysis, anonymization</h2>
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<div class="highlight"><pre><span></span><code><span class="n">json_analysis</span> <span class="o">=</span> <span class="n">JsonAnalysisBuilder</span><span class="p">()</span><span class="o">.</span><span class="n">generate_analysis</span><span class="p">(</span><span class="n">sample_json</span><span class="p">)</span>
<span class="n">json_analysis</span>
</code></pre></div>
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<code>StructuredAnalysis(entity_mapping={'name': 'PERSON', 'email': 'EMAIL_ADDRESS', 'address.city': 'LOCATION', 'address.state': 'LOCATION'})</code>
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<div class="highlight"><pre><span></span><code><span class="c1"># Currently does not support nested objects in lists</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">json_complex_analysis</span> <span class="o">=</span> <span class="n">JsonAnalysisBuilder</span><span class="p">()</span><span class="o">.</span><span class="n">generate_analysis</span><span class="p">(</span><span class="n">sample_complex_json</span><span class="p">)</span>
<span class="k">except</span> <span class="ne">ValueError</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
<span class="nb">print</span><span class="p">(</span><span class="n">e</span><span class="p">)</span>
<span class="c1"># however, we can define it manually:</span>
<span class="n">json_complex_analysis</span> <span class="o">=</span> <span class="n">StructuredAnalysis</span><span class="p">(</span><span class="n">entity_mapping</span><span class="o">=</span><span class="p">{</span>
<span class="s2">&quot;users.name&quot;</span><span class="p">:</span><span class="s2">&quot;PERSON&quot;</span><span class="p">,</span>
<span class="s2">&quot;users.address.street&quot;</span><span class="p">:</span><span class="s2">&quot;LOCATION&quot;</span><span class="p">,</span>
<span class="s2">&quot;users.address.city&quot;</span><span class="p">:</span><span class="s2">&quot;LOCATION&quot;</span><span class="p">,</span>
<span class="s2">&quot;users.address.state&quot;</span><span class="p">:</span><span class="s2">&quot;LOCATION&quot;</span><span class="p">,</span>
<span class="s2">&quot;users.email&quot;</span><span class="p">:</span> <span class="s2">&quot;EMAIL_ADDRESS&quot;</span><span class="p">,</span>
<span class="p">})</span>
</code></pre></div>
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<pre>
<code>Analyzer.analyze_iterator only works on primitive types (int, float, bool, str). Lists of objects are not yet supported.
</code>
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<div class="highlight"><pre><span></span><code><span class="c1"># anonymizing simple data</span>
<span class="n">json_engine</span> <span class="o">=</span> <span class="n">StructuredEngine</span><span class="p">(</span><span class="n">data_processor</span><span class="o">=</span><span class="n">JsonDataProcessor</span><span class="p">())</span>
<span class="n">anonymized_json</span> <span class="o">=</span> <span class="n">json_engine</span><span class="o">.</span><span class="n">anonymize</span><span class="p">(</span><span class="n">sample_json</span><span class="p">,</span> <span class="n">json_analysis</span><span class="p">,</span> <span class="n">operators</span><span class="o">=</span><span class="n">operators</span><span class="p">)</span>
<span class="n">anonymized_json</span>
</code></pre></div>
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<pre>
<code>{'id': 1,
'name': 'person...',
'email': 'virginia29@example.org',
'address': {'street': '123 Main St',
'city': '&lt;None&gt;',
'state': '&lt;None&gt;',
'postal_code': '12345'}}</code>
</pre>
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<div class="highlight"><pre><span></span><code><span class="n">anonymized_complex_json</span> <span class="o">=</span> <span class="n">json_engine</span><span class="o">.</span><span class="n">anonymize</span><span class="p">(</span><span class="n">sample_complex_json</span><span class="p">,</span> <span class="n">json_complex_analysis</span><span class="p">,</span> <span class="n">operators</span><span class="o">=</span><span class="n">operators</span><span class="p">)</span>
<span class="n">anonymized_complex_json</span>
</code></pre></div>
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<pre>
<code>{'users': [{'id': 1,
'name': 'person...',
'email': 'david90@example.org',
'address': {'street': '&lt;None&gt;',
'city': '&lt;None&gt;',
'state': '&lt;None&gt;',
'postal_code': '12345'}},
{'id': 2,
'name': 'person...',
'email': 'david90@example.org',
'address': {'street': '&lt;None&gt;',
'city': '&lt;None&gt;',
'state': '&lt;None&gt;',
'postal_code': '67890'}},
{'id': 3,
'name': 'person...',
'email': 'david90@example.org',
'address': {'street': '&lt;None&gt;',
'city': '&lt;None&gt;',
'state': '&lt;None&gt;',
'postal_code': '11223'}}]}</code>
</pre>
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