feature: 增加水印去除/高级匿名化算子 (#151)

* feature: 增加水印去除算子

* feature: clean code

* feature: clean code

* feature: 增加高级匿名化算子

runtime/ops/mapper/pii_ner_detection/process.py

@@ -0,0 +1,52 @@
+import presidio_analyzer as analyzer
+import presidio_anonymizer as anonymizer
+import spacy
+
+from datamate.core.base_op import Mapper
+
+from .custom_entities import id_recognizer, phone_recognizer, zipcode_recognizer, url_recognizer
+
+
+class PiiDetector(Mapper):
+    custom_ops = True
+
+    def __init__(self, *args, **kwargs):
+        super(PiiDetector, self).__init__(*args, **kwargs)
+        self.support_language = kwargs.get("support_language", "zh")
+
+        self.nlp_engine = None
+        self.text_analyzer = None
+        self.anom = None
+
+        self.init_model(*args, **kwargs)
+
+    def init_model(self, *args, **kwargs):
+        spacy.load("zh_core_web_sm")
+        provider = analyzer.nlp_engine.NlpEngineProvider(
+            nlp_configuration={
+                "nlp_engine_name": "spacy",
+                "models": [
+                    {"lang_code": "zh", "model_name": "zh_core_web_sm"}
+                ]
+            }
+        )
+
+        # 创建NLP Engine
+        self.nlp_engine = provider.create_engine()
+
+        #  初始化AnalyzerEngine
+        self.text_analyzer = analyzer.AnalyzerEngine(nlp_engine=self.nlp_engine, supported_languages=["zh"])
+        self.text_analyzer.registry.load_predefined_recognizers()
+        for recognizer in [id_recognizer, phone_recognizer, zipcode_recognizer, url_recognizer]:
+            self.text_analyzer.registry.add_recognizer(recognizer)
+
+        # 初始化AnonymizerEngine
+        self.anom = anonymizer.AnonymizerEngine()
+
+    def execute(self, sample):
+        self.read_file_first(sample)
+        text = sample.get('text')
+        analyzer_results = self.text_analyzer.analyze(text=text, language=self.support_language)
+        res = self.anom.anonymize(text=text, analyzer_results=analyzer_results)
+        sample['text'] = res.text
+        return sample