File size: 1,896 Bytes
54fa0c8 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 |
import contextvars
from presidio_analyzer import Pattern, PatternRecognizer, AnalyzerEngine, RecognizerRegistry,predefined_recognizers
from presidio_anonymizer import AnonymizerEngine, DeanonymizeEngine
from presidio_anonymizer.entities import (RecognizerResult,
OperatorResult,
OperatorConfig)
from privacy.config.logger import CustomLogger
from presidio_image_redactor import ImageRedactorEngine,ImageAnalyzerEngine,ImagePiiVerifyEngine
from presidio_image_redactor import DicomImageRedactorEngine
from privacy.util.encrypt import EncryptImage
from privacy.config.logger import CustomLogger
log = CustomLogger()
print("===========init==========")
error_dict={}
admin_par={}
session_dict = contextvars.ContextVar('session_dict', default={})
# Example usage:
def update_session_dict(key, value):
session_dict.get()[key] = value
def get_session_dict():
return session_dict.get()
class AttributeDict(dict):
__getattr__ = dict.__getitem__
__setattr__ = dict.__setitem__
__delattr__ = dict.__delitem__
registry = RecognizerRegistry()
# log.info("============2a")
# analyzer = AnalyzerEngine(registry=registry)
# log.debug("============2b")
anonymizer = AnonymizerEngine()
# Create NLP engine based on configuration
# flair_recognizer = (
# FlairRecognizer()
# )
# registry.add_recognizer(flair_recognizer)
# provider = NlpEngineProvider(nlp_configuration=configuration)
analyzer = AnalyzerEngine(registry=registry)
imageAnalyzerEngine = ImageAnalyzerEngine(analyzer_engine=analyzer)
imageRedactorEngine = ImageRedactorEngine(image_analyzer_engine=imageAnalyzerEngine)
imagePiiVerifyEngine = ImagePiiVerifyEngine(image_analyzer_engine=imageAnalyzerEngine)
encryptImageEngin=EncryptImage(image_analyzer_engine=imageAnalyzerEngine)
deanonymizer = DeanonymizeEngine()
DicomEngine = DicomImageRedactorEngine()
registry.load_predefined_recognizers()
|