''' MIT license https://opensource.org/licenses/MIT Copyright 2024 Infosys Ltd Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ''' #from privacy.mappers.mappers import PIIEntity, PIIAnalyzeRequest, PIIAnalyzeResponse,PIIAnonymizeRequest,PIIAnonymizeResponse,PIIImageAnonymizeResponse,PIIImageAnalyzeResponse,PIIImageAnalyzeRequest #from privacy.mappers.mappers import PIIEntity, PIIAnalyzeRequest, PIIAnalyzeResponse,PIIAnonymizeRequest,PIIAnonymizeResponse,PIIImageAnonymizeResponse,PIIImageAnalyzeResponse,PIIImageAnalyzeRequest import json import io, base64 import random from PIL import Image import requests import pandas as pd from privacy.service.easy import EasyOCR from privacy.service.azureComputerVision import ComputerVision # from privacy.dao.TelemetryFlagDb import TelemetryFlag from privacy.mappers.mappers import * import secrets import os # from privacy.dao.privacy.PrivacyException import ExceptionDb import httpx # from privacy.util.nltk_recog import CustomNltkNlpEngine from privacy.util.encrypt import EncryptImage from typing import List from privacy.constants.local_constants import (DELTED_SUCCESS_MESSAGE) from privacy.exception.exception import PrivacyNameNotEmptyError, PrivacyException, PrivacyNotFoundError 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 fastapi import FastAPI, UploadFile from fastapi.responses import FileResponse from PIL import Image import base64 import io import os #import zipfile from zipfile import ZipFile,is_zipfile from dotenv import load_dotenv import tempfile import glob from pathlib import Path import matplotlib.pyplot as plt import pydicom from presidio_image_redactor import DicomImageRedactorEngine from presidio_analyzer.nlp_engine import NlpEngineProvider from privacy.util.conf.conf import ConfModle # from privacy.dao.AccDataGrpMappingDb import AccDataGrpDb # from privacy.dao.DataRecogdb import RecogDb # from privacy.dao.EntityDb import EntityDb # from privacy.dao.AccMasterDb import AccMasterDb # from privacy.dao.privacy.PrivacyException import ExceptionDb from privacy.config.logger import request_id_var load_dotenv() import numpy as np import cv2 import re from faker import Faker fake = Faker() from privacy.util.fakerEntities import FakeData # from privacy.util.flair_recognizer import FlairRecognizer log = CustomLogger() import time # import gc # importing the library # from memory_profiler import profile import cv2 import pytesseract from scipy import ndimage from PIL import Image as im from privacy.util.special_recognizers.DataListRecognizer import DataListRecognizer # global error_dict from privacy.service.__init__ import * from privacy.service.api_req import ApiCall from xeger import Xeger x = Xeger() import contextvars # 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() # t=x.xeger(p) # print(t) # # global error_dict # error_dict={} # admin_par={} class ImageRotation: def float_convertor(x): if x.isdigit(): out= float(x) else: out= x return out def getAngle(image): k = pytesseract.image_to_osd(image) out = {i.split(":")[0]: ImageRotation.float_convertor(i.split(":")[-1].strip()) for i in k.rstrip().split("\n")} return out["Rotate"] def rotateImage(image,preAngle=0): angle=0 # t=time.time() if(preAngle==0): angle=ImageRotation.getAngle(image) # print("angle:",time.time()-t) if(preAngle==angle): return (image,angle) img_rotated = ndimage.rotate(image, preAngle-angle) image = im.fromarray(img_rotated) return (image,angle) # class AttributeDict(dict): # __getattr__ = dict.__getitem__ # __setattr__ = dict.__setitem__ # __delattr__ = dict.__delitem__ # class Data: # encrypted_text=[] # # log.info("============2") # 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() # registry.load_predefined_recognizers() class PrivacyService: # @profile def analyze(payload: PIIAnalyzeRequest) -> PIIAnalyzeResponse: error_dict[request_id_var.get()]=[] log.debug("Entering in analyze function") # gc.collect() log.debug(f"payload: {payload}") try: if(payload.exclusionList == None): exclusionList=[] else: exclusionList=payload.exclusionList if(payload.portfolio== None): results = PrivacyService.__analyze(text=payload.inputText,exclusion=exclusionList) else: results = PrivacyService.__analyze(text=payload.inputText,accName=payload,exclusion=exclusionList) if results == None: return None if( results== 404): return results list_PIIEntity = [] results=sorted(results, key=lambda i: i.start) for result in results: log.debug(f"result: {result}") obj_PIIEntity = PIIEntity(type=result.entity_type, beginOffset=result.start, endOffset=result.end, score=result.score, responseText=payload.inputText[result.start:result.end]) log.debug(f"obj_PIIEntity: {obj_PIIEntity}") list_PIIEntity.append(obj_PIIEntity) del obj_PIIEntity log.debug(f"list_PIIEntity: {list_PIIEntity}") objPIIAnalyzeResponse = PIIAnalyzeResponse objPIIAnalyzeResponse.PIIEntities = list_PIIEntity # gc.collect() log.debug("Returning from analyze function") return objPIIAnalyzeResponse except Exception as e: log.error(str(e)) log.error("Line No:"+str(e.__traceback__.tb_lineno)) log.error(str(e.__traceback__.tb_frame)) error_dict[request_id_var.get()].append({"UUID":request_id_var.get(),"function":"textAnalyzeMainFunction","msg":str(e.__class__.__name__),"description":str(e)+"Line No:"+str(e.__traceback__.tb_lineno)}) # ExceptionDb.create({"UUID":request_id_var.get(),"function":"textAnalyzeMainFunction","msg":str(e.__class__.__name__),"description":str(e)+"Line No:"+str(e.__traceback__.tb_lineno)}) raise Exception(e) # @profile def __analyze(text: str,accName:any=None,exclusion:any=None): result=[] try: if(accName==None): # print("result------",PIIAnalyzeRequest.language) # ent_pattern=[] result = analyzer.analyze(text=text,language="en",allow_list=exclusion,return_decision_process = True) # print("result------",result) # print("result====192====",result) # #score_threshold reference # # gc.collect() # print("ent_pattern list====",ent_pattern) else: preEntity=[] # entityType,datalist,preEntity=admin_par[request_id_var.get()]["scoreTreshold"].request(accName) # entityType,datalist,preEntity=ApiCall.request(accName) dataistEnt = [] response_value=ApiCall.request(accName) if(response_value==None): return None if(response_value==404): # print( response_value) return response_value entityType,datalist,preEntity=response_value #print('=====',datalist) for d in range(len(datalist)): record=ApiCall.getRecord(entityType[d]) record=AttributeDict(record) log.debug("Record====="+str(record)) # predefined_recognizers.data_recognizer.DataList.entity.clear() # predefined_recognizers.data_recognizer.DataList.resetData() if(record.RecogType=="Data"): dataRecog=(DataListRecognizer(terms=datalist[d],entitie=[entityType[d]])) registry.add_recognizer(dataRecog) # predefined_recognizers.data_recognizer.DataList.entity.append(entityType[d]) # predefined_recognizers.data_recognizer.DataList.setData(datalist[d]) #print("EntityTye226===",entityType[d]) #print("datalist===",datalist[d]) update_session_dict(entityType[d], datalist[d]) data = {entityType[d]: datalist[d]} dataistEnt.append(data) elif(record.RecogType=="Pattern" and record.isPreDefined=="No"): contextObj=record.Context.split(',') pattern="|".join(datalist[d]) # print("=",pattern) log.debug("pattern="+str(pattern)) patternObj = Pattern(name=entityType[d], regex=pattern, score=record.Score) patternRecog = PatternRecognizer(supported_entity=entityType[d], patterns=[patternObj],context=contextObj) registry.add_recognizer(patternRecog) # result.clear() # print(";;",entityType) results = analyzer.analyze(text=text, language="en",entities=entityType+preEntity,allow_list=exclusion,score_threshold=admin_par[request_id_var.get()]["scoreTreshold"]) # entityType.remove(preEntity) result.extend(results) # preEntity.clear() # if len(preEntity) > 0: # results = analyzer.analyze(text=text, language="en",entities=preEntity,allow_list=exclusion,score_threshold=admin_par[request_id_var.get()]["scoreTreshold"]) # preEntity.clear() # result.extend(results) # predefined_recognizers.data_recognizer.DataList.entity.clear() # predefined_recognizers.data_recognizer.DataList.resetData() log.debug(f"results: {results}") log.debug(f"type results: {type(results)}") # result.extend(results) # gc.collect() # del analyzer # del registry # ApiCall.encryptionList.clear() log.debug("result="+str(result)) return result except Exception as e: log.error(str(e)) # print("======================",error_dict) log.error("Line No:"+str(e.__traceback__.tb_lineno)) log.error(str(e.__traceback__.tb_frame)) # ExceptionDb.create({"UUID":request_id_var.get(),"function":"textAnalyzeFunction","msg":str(e.__class__.__name__),"description":str(e)+"Line No:"+str(e.__traceback__.tb_lineno)}) error_dict[request_id_var.get()].append({"UUID":request_id_var.get(),"function":"textAnalyzeFunction","msg":str(e.__class__.__name__),"description":str(e)+"Line No:"+str(e.__traceback__.tb_lineno)}) raise Exception(e) def anonymize(payload: PIIAnonymizeRequest): error_dict[request_id_var.get()]=[] log.debug("Entering in anonymize function") try: Data.encrypted_text.clear() # print("list",registry) # print("list",registry.recognizers) if(payload.exclusionList == None): exclusionList=[] else: exclusionList=payload.exclusionList if(payload.portfolio== None): results = PrivacyService.__analyze(text=payload.inputText,exclusion=exclusionList) else: results = PrivacyService.__analyze(text=payload.inputText,accName=payload,exclusion=exclusionList) ent_pattern=[] if results == None: return None if(results==404): # print( response_value) return results dict_operators = {} if payload.fakeData == True: # fakeDataGeneration() used for generating fakeData for the entities whcih return dict containg the fake data is replaced with entity.... fake_dict_operator = FakeDataGenerate.fakeDataGeneration(results,payload.inputText) dict_operators.update(fake_dict_operator) encryptionList=[] if(payload.portfolio!= None ): encryptionList=admin_par[request_id_var.get()]["encryptionList"] # print("==============================",encryptionList) if encryptionList is not None and len(encryptionList) >0 : for entity in encryptionList: print("---------------------------") dict_operators.update({entity: OperatorConfig("hash", {"hash-type": 'md5'})}) # else: # dict_operators = None # ApiCall.encryptionList.clear() anonymize_text = anonymizer.anonymize(text=payload.inputText, operators=dict_operators, analyzer_results=results) log.debug(f"anonymize_text: {anonymize_text}") log.debug(f"anonymize_text_item"+ str(anonymize_text.items)) obj_PIIAnonymizeResponse = PIIAnonymizeResponse obj_PIIAnonymizeResponse.anonymizedText = anonymize_text.text log.debug("Returning from anonymize function") return obj_PIIAnonymizeResponse except Exception as e: log.error(str(e)) log.error("Line No:"+str(e.__traceback__.tb_lineno)) log.error(str(e.__traceback__.tb_frame)) error_dict[request_id_var.get()].append({"UUID":request_id_var.get(),"function":"textAnonimyzeFunction","msg":str(e.__class__.__name__),"description":str(e)+"Line No:"+str(e.__traceback__.tb_lineno)}) raise Exception(e) def encrypt(payload: PIIAnonymizeRequest): log.debug("Entering in encrypt function") try: Data.encrypted_text.clear() if(payload.exclusionList == None): exclusionList=[] else: exclusionList=payload.exclusionList if(payload.portfolio== None): results = PrivacyService.__analyze(text=payload.inputText,exclusion=exclusionList) else: results = PrivacyService.__analyze(text=payload.inputText,accName=payload,exclusion=exclusionList) if results == None: return None dict_operators = {} data = "WmZq4t7w!z%C&F)J" for i in results: dict_operators.update({i.entity_type : OperatorConfig("encrypt", {"key": data})}) anonymize_text = anonymizer.anonymize(text=payload.inputText, operators=dict_operators, analyzer_results=results) log.debug(f"anonymize_text: {anonymize_text}") log.debug(f"anonymize_text_item"+ str(anonymize_text.items)) obj_PIIEncryptResponse = PIIEncryptResponse obj_PIIEncryptResponse.text = anonymize_text.text obj_PIIEncryptResponse.items= anonymize_text.items log.debug("Returning from encrypt function") return obj_PIIEncryptResponse except Exception as e: log.error(str(e)) log.error("Line No:"+str(e.__traceback__.tb_lineno)) log.error(str(e.__traceback__.tb_frame)) error_dict[request_id_var.get()].append({"UUID":request_id_var.get(),"function":"textAnonimyzeFunction","msg":str(e.__class__.__name__),"description":str(e)+"Line No:"+str(e.__traceback__.tb_lineno)}) raise Exception(e) def decryption(payload: PIIDecryptRequest): log.debug("Entering in decrypt function") # payload=AttributeDict(payload) print("payload=====",payload) try: anonymized_text = payload.text anonymized_entities = payload.items data = "WmZq4t7w!z%C&F)J" list_ent= [] for item in anonymized_entities: list_ent.append(OperatorResult(start=item.start, end=item.end , entity_type= item.entity_type, text= item.text, operator= item.operator,)) anonymized_entities=list_ent deanonymized_result = deanonymizer.deanonymize(text=anonymized_text, entities=anonymized_entities, operators={"DEFAULT": OperatorConfig("decrypt", {"key": data})},) obj_PIIDecryptResponse = PIIDecryptResponse obj_PIIDecryptResponse.decryptedText = deanonymized_result.text log.debug("Returning from anonymize function") return obj_PIIDecryptResponse except Exception as e: log.error(str(e)) log.error("Line No:"+str(e.__traceback__.tb_lineno)) log.error(str(e.__traceback__.tb_frame)) error_dict[request_id_var.get()].append({"UUID":request_id_var.get(),"function":"textAnonimyzeFunction","msg":str(e.__class__.__name__),"description":str(e)+"Line No:"+str(e.__traceback__.tb_lineno)}) raise Exception(e) def image_analyze(payload): error_dict[request_id_var.get()]=[] try: log.debug("Entering in image_analyze function") payload=AttributeDict(payload) image = Image.open(payload.image.file) # analyzer,registry=ConfModle.getAnalyzerEngin("en_core_web_lg") angle=0 if(payload.rotationFlag): image,angle=ImageRotation.rotateImage(image) ocr=None global imageAnalyzerEngine if(payload.easyocr=="EasyOcr"): ocr=EasyOCR() EasyOCR.setMag(payload.mag_ratio) tt=time.time() imageAnalyzerEngine = ImageAnalyzerEngine(analyzer_engine=analyzer,ocr=ocr) # print(time.time()-tt) if(payload.easyocr=="ComputerVision"): ocr=ComputerVision() # EasyOCR.setMag(payload.mag_ratio) imageAnalyzerEngine = ImageAnalyzerEngine(analyzer_engine=analyzer,ocr=ocr) # imageRedactorEngine = ImageRedactorEngine(image_analyzer_engine=imageAnalyzerEngine) log.debug("payload="+str(payload)) if(payload.exclusion == None): exclusionList=[] else: exclusionList=payload.exclusion.split(",") if(payload.portfolio== None): results = imageAnalyzerEngine.analyze(image, allow_list=exclusionList) else: result=[] preEntity=[] response_value=ApiCall.request(payload) if(response_value==None): return None if(response_value==404): # print( response_value) return response_value entityType,datalist,preEntity=response_value # entityType,datalist,preEntity=ApiCall.request(payload) # preEntity=["PERSON"] for d in range(len(datalist)): record=ApiCall.getRecord(entityType[d]) record=AttributeDict(record) # log.debug("Record ======"+str(record)) if(record.RecogType=="Data"): dataRecog=(DataListRecognizer(terms=datalist[d],entitie=[entityType[d]])) registry.add_recognizer(dataRecog) # log.debug("++++++"+str(entityType[d])) # results = engine.analyze(image,entities=[entityType[d]]) # result.extend(results) elif(record.RecogType=="Pattern" and record.isPreDefined=="No"): contextObj=record.Context.split(',') pattern="|".join(datalist[d]) log.debug("pattern="+str(pattern)) patternObj = Pattern(name=entityType[d], regex=pattern, score=record.Score) patternRecog = PatternRecognizer(supported_entity=entityType[d], patterns=[patternObj],context=contextObj) registry.add_recognizer(patternRecog) # log.debug("==========="+str(entityType[d])) # results = engine.analyze(image,entities=[entityType[d]]) # result.extend(results) results = imageAnalyzerEngine.analyze(image,entities=entityType+preEntity, allow_list=exclusionList,score_threshold=admin_par[request_id_var.get()]["scoreTreshold"]) result.extend(results) # results = PrivacyService.__analyze(text=payload.inputText,accName=accMasterid.accMasterId) # if(len(preEntity)>0): # results = imageAnalyzerEngine.analyze(image,entities=preEntity, allow_list=exclusionList,score_threshold=admin_par[request_id_var.get()]["scoreTreshold"]) # preEntity.clear() # result.extend(results) results=result #log.debug(f"results: {results}") list_PIIEntity = [] for result in results: log.debug(f"result: {result}") obj_PIIEntity = PIIEntity(type=result.entity_type, beginOffset=result.start, endOffset=result.end, score=result.score) log.debug(f"obj_PIIEntity: {obj_PIIEntity}") list_PIIEntity.append(obj_PIIEntity) del obj_PIIEntity log.debug(f"list_PIIEntity: {list_PIIEntity}") objPIIAnalyzeResponse = PIIAnalyzeResponse objPIIAnalyzeResponse.PIIEntities = list_PIIEntity log.debug("Returning from image_analyze function") # ApiCall.encryptionList.clear() return objPIIAnalyzeResponse except Exception as e: log.error(str(e)) log.error("Line No:"+str(e.__traceback__.tb_lineno)) log.error(str(e.__traceback__.tb_frame)) error_dict[request_id_var.get()].append({"UUID":request_id_var.get(),"function":"imageAnalyzeFunction","msg":str(e.__class__.__name__),"description":str(e)+"Line No:"+str(e.__traceback__.tb_lineno)}) raise Exception(e) def temp(payload): engine = ImageAnalyzerEngine() image = Image.open(payload.file) results = engine.analyze(image) #log.debug(f"results: {results}") list_PIIEntity = [] for result in results: log.debug(f"result: {result}") list_PIIEntity.append(result.entity_type) return list_PIIEntity def image_anonymize(payload): log.debug("Entering in image_anonymize function") error_dict[request_id_var.get()]=[] try: payload=AttributeDict(payload) # analyzer,registry=ConfModle.getAnalyzerEngin("en_core_web_lg") ocr=None global imageRedactorEngine if(payload.easyocr=="EasyOcr"): ocr=EasyOCR() EasyOCR.setMag(payload.mag_ratio) imageAnalyzerEngine = ImageAnalyzerEngine(analyzer_engine=analyzer,ocr=ocr) imageRedactorEngine = ImageRedactorEngine(image_analyzer_engine=imageAnalyzerEngine) if(payload.easyocr=="ComputerVision"): ocr=ComputerVision() # EasyOCR.setMag(payload.mag_ratio) imageAnalyzerEngine = ImageAnalyzerEngine(analyzer_engine=analyzer,ocr=ocr) imageRedactorEngine = ImageRedactorEngine(image_analyzer_engine=imageAnalyzerEngine) # engine = ImageRedactorEngine() payload=AttributeDict(payload) image = Image.open(payload.image.file) angle=0 if(payload.rotationFlag): image,angle=ImageRotation.rotateImage(image) # registry.load_predefined_recognizers() # log.debug("payload.image.file====="+str(payload.image.file)) if(payload.exclusion == None): exclusionList=[] else: exclusionList=payload.exclusion.split(",") if(payload.portfolio== None): redacted_image = imageRedactorEngine.redact(image, (255, 192, 203), allow_list=exclusionList) processed_image_stream = io.BytesIO() redacted_image.save(processed_image_stream, format='PNG') else: result=[] preEntity=[] response_value=ApiCall.request(payload) if(response_value==None): return None if(response_value==404): # print( response_value) return response_value entityType,datalist,preEntity=response_value # entityType,datalist,preEntity=ApiCall.request(payload) for d in range(len(datalist)): record=ApiCall.getRecord(entityType[d]) record=AttributeDict(record) # log.debug("Record=="+str(record)) if(record.RecogType=="Data"): dataRecog=(DataListRecognizer(terms=datalist[d],entitie=[entityType[d]])) registry.add_recognizer(dataRecog) # log.debug("++++++"+str(entityType[d])) # results = engine.analyze(image,entities=[entityType[d]]) # redacted_image = engine.redact(image, (255, 192, 203),entities=[entityType[d]]) # processed_image_stream = io.BytesIO() # redacted_image.save(processed_image_stream, format='PNG') elif(record.RecogType=="Pattern" and record.isPreDefined=="No"): contextObj=record.Context.split(',') pattern="|".join(datalist[d]) log.debug("pattern="+str(pattern)) patternObj = Pattern(name=entityType[d], regex=pattern, score=record.Score) patternRecog = PatternRecognizer(supported_entity=entityType[d], patterns=[patternObj],context=contextObj) registry.add_recognizer(patternRecog) # log.debug("=="+str(entityType[d])) # results = engine.analyze(image,entities=[entityType[d]]) redacted_image = imageRedactorEngine.redact(image, (255, 192, 203),entities=entityType+preEntity, allow_list=exclusionList,score_threshold=admin_par[request_id_var.get()]["scoreTreshold"]) # log.debug("redacted_image=="+str(redacted_image)) processed_image_stream = io.BytesIO() redacted_image.save(processed_image_stream, format='PNG') # log.debug("redacted_image="+str(redacted_image)) image=redacted_image # results = PrivacyService.__analyze(text=payload.inputText,accName=accMasterid.accMasterId) # if(len(preEntity)>0): # redacted_image = imageRedactorEngine.redact(image, (255, 192, 203),entities=preEntity, allow_list=exclusionList,score_threshold=admin_par[request_id_var.get()]["scoreTreshold"]) # processed_image_stream = io.BytesIO() # redacted_image.save(processed_image_stream, format='PNG') # preEntity.clear() if(angle!=0 and payload.rotationFlag==True): redacted_image,angle=ImageRotation.rotateImage(redacted_image,angle) processed_image_stream = io.BytesIO() redacted_image.save(processed_image_stream, format='PNG') # redacted_image.show() # redacted_image = engine.redact(image, (255, 192, 203),entities=preEntity) # processed_image_stream = io.BytesIO() # redacted_image.save(processed_image_stream, format='PNG') processed_image_bytes = processed_image_stream.getvalue() base64_encoded_image=base64.b64encode(processed_image_bytes) # saveImage.saveImg(base64_encoded_image) saveImage.saveImg(base64_encoded_image) log.debug("Returning from image_anonymize function") # ApiCall.encryptionList.clear() return base64_encoded_image except Exception as e: log.error(str(e)) log.error("Line No:"+str(e.__traceback__.tb_lineno)) log.error(str(e.__traceback__.tb_frame)) error_dict[request_id_var.get()].append({"UUID":request_id_var.get(),"function":"imageAnonimyzeFunction","msg":str(e.__class__.__name__),"description":str(e)+"Line No:"+str(e.__traceback__.tb_lineno)}) raise Exception(e) async def image_masking(main_image,template_image): template_gray = cv2.cvtColor(template_image, cv2.COLOR_BGR2GRAY) # Threshold the template image to create a binary mask _, template_mask = cv2.threshold(template_gray, 1, 255, cv2.THRESH_BINARY) # Perform template matching result = cv2.matchTemplate(main_image, template_image, cv2.TM_CCOEFF_NORMED) _, max_val, _, max_loc = cv2.minMaxLoc(result) # Get the dimensions of the template image template_height, template_width = template_image.shape[:2] # Create a mask with the same size as the main image mask = np.zeros(main_image.shape[:2], dtype=np.uint8) # Set the region of interest (ROI) in the mask based on the template location mask[max_loc[1]:max_loc[1] + template_height, max_loc[0]:max_loc[0] + template_width] = 255 # Apply the mask to the main image result_with_mask = cv2.bitwise_and(main_image, main_image, mask=cv2.bitwise_not(mask)) return result_with_mask def zipimage_anonymize(payload): #$$$$$$$$$$$$ result=[] in_memory_file=io.BytesIO(payload.file.read()) engine = ImageRedactorEngine() log.debug("=="+str(is_zipfile(payload.file))) with ZipFile(in_memory_file, 'r') as zObject: for file_name in zObject.namelist(): log.debug(zObject.namelist()) log.debug("=="+str(type(zObject))) file_data=zObject.read(file_name) image=Image.open(io.BytesIO(file_data)) redacted_image = engine.redact(image, (255, 192, 203)) processed_image_stream = io.BytesIO() redacted_image.save(processed_image_stream, format='PNG') processed_image_bytes = processed_image_stream.getvalue() base64_encoded_image=base64.b64encode(processed_image_bytes) result.append(base64_encoded_image) return result def image_verify(payload): error_dict[request_id_var.get()]=[] log.debug("Entering in image_verify function") try: # analyzer,registry=ConfModle.getAnalyzerEngin("en_core_web_lg") # engine1 = ImageAnalyzerEngine(analyzer_engine=analyzer) # imagePiiVerifyEngine = ImagePiiVerifyEngine(image_analyzer_engine=imageAnalyzerEngine) # enginex=EncryptImage(image_analyzer_engine=engine1) global imagePiiVerifyEngine payload=AttributeDict(payload) image = Image.open(payload.image.file) # registry.load_predefined_recognizers() if(payload.exclusion == None): exclusionList=[] else: exclusionList=payload.exclusion.split(",") if(payload.portfolio== None): verify_image = imagePiiVerifyEngine.verify(image, allow_list=exclusionList) processed_image_stream = io.BytesIO() verify_image.save(processed_image_stream, format='PNG') else: result=[] preEntity=[] response_value=ApiCall.request(payload) if(response_value==None): return None if(response_value==404): # print( response_value) return response_value entityType,datalist,preEntity=response_value # Al=ApiCall.encryptionList for d in range(len(datalist)): record=ApiCall.getRecord(entityType[d]) record=AttributeDict(record) if(record.RecogType=="Data"): dataRecog=(DataListRecognizer(terms=datalist[d],entitie=[entityType[d]])) registry.add_recognizer(dataRecog) elif(record.RecogType=="Pattern" and record.isPreDefined=="No"): contextObj=record.Context.split(',') pattern="|".join(datalist[d]) log.debug("pattern="+str(pattern)) patternObj = Pattern(name=entityType[d], regex=pattern, score=record.Score) patternRecog = PatternRecognizer(supported_entity=entityType[d], patterns=[patternObj],context=contextObj) registry.add_recognizer(patternRecog) verify_image = imagePiiVerifyEngine.verify(image,entities=entityType+preEntity, allow_list=exclusionList,score_threshold=admin_par[request_id_var.get()]["scoreTreshold"]) # verify_image = enginex.encrypt(image,encryptionList=Al,entities=[entityType[d]], allow_list=exclusionList) processed_image_stream = io.BytesIO() verify_image.save(processed_image_stream, format='PNG') # log.debug("redacted_image="+str(redacted_image)) image=verify_image # results = PrivacyService.__analyze(text=payload.inputText,accName=accMasterid.accMasterId) # if(len(preEntity)>0): # verify_image = imagePiiVerifyEngine.verify(image,entities=preEntity, allow_list=exclusionList,score_threshold=admin_par[request_id_var.get()]["scoreTreshold"]) # # verify_image = enginex.encrypt(image,encryptionList=Al,entities=preEntity, allow_list=exclusionList) # processed_image_stream = io.BytesIO() # verify_image.save(processed_image_stream, format='PNG') # preEntity.clear() processed_image_bytes = processed_image_stream.getvalue() base64_encoded_image=base64.b64encode(processed_image_bytes) saveImage.saveImg(base64_encoded_image) log.debug("Returning from image_verify function") # ApiCall.encryptionList.clear() return base64_encoded_image except Exception as e: log.error(str(e)) log.error("Line No:"+str(e.__traceback__.tb_lineno)) log.error(str(e.__traceback__.tb_frame)) error_dict[request_id_var.get()].append({"UUID":request_id_var.get(),"function":"imageVeryFunction","msg":str(e.__class__.__name__),"description":str(e)+"Line No:"+str(e.__traceback__.tb_lineno)}) raise Exception(e) def imageEncryption(payload): error_dict[request_id_var.get()]=[] log.debug("Entering in imageEncryption function") try: payload=AttributeDict(payload) EncryptImage.entity.clear() # analyzer,registry=ConfModle.getAnalyzerEngin("en_core_web_lg") ocr=None global encryptImageEngin if(payload.easyocr=="EasyOcr"): ocr=EasyOCR() EasyOCR.setMag(payload.mag_ratio) imageAnalyzerEngine = ImageAnalyzerEngine(analyzer_engine=analyzer,ocr=ocr) encryptImageEngin=EncryptImage(image_analyzer_engine=imageAnalyzerEngine) # if(payload.easyocr=="ComputerVision"): ocr=ComputerVision() # EasyOCR.setMag(payload.mag_ratio) imageAnalyzerEngine = ImageAnalyzerEngine(analyzer_engine=analyzer,ocr=ocr) encryptImageEngin=EncryptImage(image_analyzer_engine=imageAnalyzerEngine) # engine = ImageRedactorEngine(image_analyzer_engine=engine1) # engine = ImageRedactorEngine() payload=AttributeDict(payload) image = Image.open(payload.image.file) angle=0 if(payload.rotationFlag): image,angle=ImageRotation.rotateImage(image) # registry.load_predefined_recognizers() # log.debug("payload.image.file====="+str(payload.image.file)) encryptMapper=[] if(payload.exclusion == None): exclusionList=[] else: exclusionList=payload.exclusion.split(",") encryptImageEngin.getText(image) if(payload.portfolio== None): # redacted_image = engine.redact(image, (255, 192, 203), allow_list=exclusionList) redacted_image = encryptImageEngin.imageAnonimyze(image, (255, 192, 203), allow_list=exclusionList) processed_image_stream = io.BytesIO() redacted_image.save(processed_image_stream, format='PNG') else: result=[] preEntity=[] response_value=ApiCall.request(payload) # encryptionList=ApiCall.encryptionList if(response_value==None): return None if(response_value==404): # print( response_value) return response_value encryptionList=admin_par[request_id_var.get()]["encryptionList"] entityType,datalist,preEntity=response_value # entityType,datalist,preEntity=ApiCall.request(payload) for d in range(len(datalist)): record=ApiCall.getRecord(entityType[d]) record=AttributeDict(record) # log.debug("Record=="+str(record)) if(record.RecogType=="Data"): dataRecog=(DataListRecognizer(terms=datalist[d],entitie=[entityType[d]])) registry.add_recognizer(dataRecog) # log.debug("++++++"+str(entityType[d])) # results = engine.analyze(image,entities=[entityType[d]]) # redacted_image = engine.redact(image, (255, 192, 203),entities=[entityType[d]]) # processed_image_stream = io.BytesIO() # redacted_image.save(processed_image_stream, format='PNG') elif(record.RecogType=="Pattern" and record.isPreDefined=="No"): contextObj=record.Context.split(',') pattern="|".join(datalist[d]) log.debug("pattern="+str(pattern)) patternObj = Pattern(name=entityType[d], regex=pattern, score=record.Score) patternRecog = PatternRecognizer(supported_entity=entityType[d], patterns=[patternObj],context=contextObj) registry.add_recognizer(patternRecog) # log.debug("=="+str(entityType[d])) # results = engine.analyze(image,entities=[entityType[d]]) redacted_image = encryptImageEngin.imageAnonimyze(image, (255, 192, 203),encryptionList=encryptionList,entities=entityType+preEntity, allow_list=exclusionList,score_threshold=admin_par[request_id_var.get()]["scoreTreshold"]) # log.debug("redacted_image=="+str(redacted_image)) processed_image_stream = io.BytesIO() redacted_image.save(processed_image_stream, format='PNG') # log.debug("redacted_image="+str(redacted_image)) image=redacted_image # results = PrivacyService.__analyze(text=payload.inputText,accName=accMasterid.accMasterId) # if(len(preEntity)>0): # redacted_image = encryptImageEngin.imageAnonimyze(image, (255, 192, 203),encryptionList=encryptionList,entities=preEntity, allow_list=exclusionList,score_threshold=admin_par[request_id_var.get()]["scoreTreshold"]) # processed_image_stream = io.BytesIO() # redacted_image.save(processed_image_stream, format='PNG') # preEntity.clear() EncryptImage.dis() res=encryptImageEngin.encrypt(redacted_image,encryptionList=encryptionList) redacted_image=res[0] encryptMapper=res[1] processed_image_stream = io.BytesIO() redacted_image.save(processed_image_stream, format='PNG') if(angle!=0 and payload.rotationFlag==True): redacted_image,angle=ImageRotation.rotateImage(redacted_image,angle) processed_image_stream = io.BytesIO() redacted_image.save(processed_image_stream, format='PNG') # redacted_image = engine.redact(image, (255, 192, 203),entities=preEntity) # processed_image_stream = io.BytesIO() # redacted_image.save(processed_image_stream, format='PNG') processed_image_bytes = processed_image_stream.getvalue() base64_encoded_image=base64.b64encode(processed_image_bytes) # saveImage.saveImg(base64_encoded_image) saveImage.saveImg(base64_encoded_image) obj={"map":encryptMapper,"img":base64_encoded_image} log.debug("Returning from imageEncryption function") # ApiCall.encryptionList.clear() return obj except Exception as e: log.error(str(e)) log.error("Line No:"+str(e.__traceback__.tb_lineno)) log.error(str(e.__traceback__.tb_frame)) error_dict[request_id_var.get()].append({"UUID":request_id_var.get(),"function":"imageHashifyFunction","msg":str(e.__class__.__name__),"description":str(e)+"Line No:"+str(e.__traceback__.tb_lineno)}) raise Exception(e) def privacyShield(payload: PIIPrivacyShieldRequest) -> PIIPrivacyShieldResponse: log.debug("Entering in privacyShield function") log.debug(f"payload: {payload}") res = [] totEnt=[] enres=[] query={} log.debug("response="+str(res)) if(payload.portfolio== None): response_value=ApiCall.request(payload) if(response_value==None): return None if(response_value==404): # print( response_value) return response_value entityType,datalist,preEntity=response_value # entityType,datalist,preEntity=ApiCall.request(payload) results = PrivacyService.__analyze(text=payload.inputText) # entity=RecogDb.findall({}) record=[ele for ele in admin_par[request_id_var.get()]["records"] if ele["isPreDefined"]=="Yes"] for i in record: i=AttributeDict(i) totEnt.append(i.RecogName) pass else: # entityType,datalist,preEntity=ApiCall.request(payload) response_value=ApiCall.request(payload) if(response_value==None): return None if(response_value==404): # print( response_value) return response_value entityType,datalist,preEntity=response_value to=[] # log.debug("entityTyope="+str(entityType)) # log.debug("preEntity="+str(preEntity)) entityType.extend(preEntity) # log.debug("entity="+str(entityType)) totEnt=entityType results = PrivacyService.__analyze(text=payload.inputText,accName=payload) # log.debug("total recoed="+str(totEnt)) value=payload.inputText list_PIIEntity = [] results=sorted(results, key=lambda i: i.start) for result in results: log.debug(f"result: {result}") enres.append({"type":result.entity_type,"start":result.start,"end":result.end,"value":value[result.start:result.end]}) # obj_PIIEntity = PIIEntity(type=result.entity_type, # beginOffset=result.start, # endOffset=result.end) log.debug(f"obj_PIIEntity: {enres}") # list_PIIEntity.append(enres) # del obj_PIIEntity if(len(enres)==0): temp= "Passed" else: temp="Failed" objent = PrivacyShield( entitiesRecognised=enres, entitiesConfigured= totEnt, result=temp ) list_PIIEntity.append(objent) log.debug(f"list_PIIEntity: {list_PIIEntity}") objPIIAnalyzeResponse = PIIPrivacyShieldResponse objPIIAnalyzeResponse.privacyCheck = list_PIIEntity log.debug("objPIIAnalyzeResponse="+str(objPIIAnalyzeResponse.privacyCheck)) log.debug("Returning from privacyShield function") return objPIIAnalyzeResponse # return res class FakeDataGenerate: def fakeDataGeneration(results,inputText): fakeData_Dict = {} for i in results: if hasattr(FakeData, i.entity_type): ent = getattr(FakeData, i.entity_type) fakeData_Dict.update({i.entity_type: OperatorConfig("replace", {"new_value": ent()})}) elif i.entity_type in get_session_dict(): entValue =get_session_dict()[i.entity_type] # log.debug("result=" log.debug("Value of entValue 342========"+str(entValue)) text = str(inputText[i.start:i.end]) print("text===",text) random_data="" while True: if text in entValue: random_data = secrets.choice(entValue) print("RNDAOM dATA 348===",random_data) if random_data.lower() != str(inputText[i.start:i.end]).lower() : fakeData_Dict.update({i.entity_type: OperatorConfig("replace", {"new_value": random_data})}) entValue.remove(random_data) break else: break print("Value of entValue 344========",text) # random_data = DataList # random_data = random.choice([item for item in entValue if str(item).lower() != text.lower()]) # random_dataList.append(random_data) # entValue.remove(random_data) fakeData_Dict.update({i.entity_type: OperatorConfig("replace", {"new_value": random_data})}) #print("ent_value after removing====",dict_operators) # Rest of your code else: # Handle the case when ent does not exist decision_process = i.analysis_explanation # log.debug("decision process======"+str(decision_process)) if(decision_process==None): continue pattern = decision_process.pattern # Add function to generate fakeData using regex pattern t=x.xeger(pattern) p=r'[\x00-\x1F\x7F-\xFF]' # p= r"^\ [^]" t1=re.sub(p, ' ', t) # print("t1====",t1) fakeData_Dict.update({i.entity_type: OperatorConfig("replace", {"new_value": t1})}) return fakeData_Dict class DICOM: def dcmToPng(dcmObj): plt.clf() plt.imshow(dcmObj.pixel_array,cmap=plt.cm.bone) plt.axis('off') buffer=io.BytesIO() plt.savefig(buffer,format='png', bbox_inches='tight', pad_inches=0) buffer.seek(0) return base64.b64encode(buffer.getvalue()) def readDicom(payload): error_dict[request_id_var.get()]=[] log.debug("Entering in readDicom function") try: # print(type(payload)) # print(payload.file) EncryptImage.entity.clear() # predefined_recognizers.data_recognizer.DataList.entity.clear() # predefined_recognizers.data_recognizer.DataList.resetData() DicomEngine = DicomImageRedactorEngine() dicom_instance = pydicom.dcmread(payload.file) # print(type(dicom_instance)) redacted_dicom_instance = DicomEngine.redact(dicom_instance, fill="contrast") original=DICOM.dcmToPng(dicom_instance) redacted=DICOM.dcmToPng(redacted_dicom_instance) obj={"original":original,"anonymize":redacted} log.debug("Returning from readDicom function") return obj except Exception as e: log.error(str(e)) log.error("Line No:"+str(e.__traceback__.tb_lineno)) log.error(str(e.__traceback__.tb_frame)) error_dict[request_id_var.get()].append({"UUID":request_id_var.get(),"function":"readDICOMFunction","msg":str(e.__class__.__name__),"description":str(e)+"Line No:"+str(e.__traceback__.tb_lineno)}) raise Exception(e) class saveImage: def saveImg(img_data): with open("imageToSave.png", "wb") as fh: fh.write(base64.decodebytes(img_data)) # class PrivacyData: # def getDataList(payload)->dict: # try: # accName=None # if(payload.portfolio!=None): # payload=AttributeDict(payload) # # query={"portfolio":payload.portfolio,"account":payload.account} # query=payload # accMasterid=AccMasterDb.findall(query) # if(len(accMasterid)==0): # obj=([],[],[],[],[],[]) # return obj # # print(accMasterid) # accName=accMasterid[0].accMasterId # thresholdScore= accMasterid[0].ThresholdScore # datalsit=[] # newEntityType=[] # preEntity=[] # recogList=[] # encrList=[] # # score=[] # if(accName!=None): # # print("=====",accName) # # accMasterid=AccMasterDb.findall({"accMasterName":accName})[0] # accdata=AccDataGrpDb.findall({"accMasterId":accName}) # # print(accdata) # for i in accdata: # # print("===",i.dataRecogGrpId) # record=RecogDb.findOne(i.dataRecogGrpId) # # print(record) # record=AttributeDict(record) # recogList.append(record) # # print(recogList) # if(i.isHashify==True): # encrList.append(record.RecogName) # if(record.isPreDefined=="No"): # newEntityType.append(record.RecogName) # datalsit.append(EntityDb.mycol.distinct("EntityName",{"RecogId":i.dataRecogGrpId})) # else: # preEntity.append(record.RecogName) # # entityType= # else: # recogList=RecogDb.findall({}) # # print(newEntityType) # # print(preEntity) # # print(datalsit) # # print(recogList) # obj=(newEntityType,datalsit,preEntity,recogList,encrList,[thresholdScore]) # return obj # except Exception as e: # log.error(str(e)) # log.error("Line No:"+str(e.__traceback__.tb_lineno)) # log.error(str(e.__traceback__.tb_frame)) # ExceptionDb.create({"UUID":request_id_var.get(),"function":"getDataListFunction","msg":str(e.__class__.__name__),"description":str(e)+"Line No:"+str(e.__traceback__.tb_lineno)}) # raise Exception(e) # class TelemetryFlagData: # def getTelFlagData(): # log.debug("Entering in getTelFlagData function") # try: # res =[] # telFlagData = TelemetryFlag.findall({})[0] # log.debug("telFlagData===="+str(telFlagData)) # object = Telemetry( # Module=telFlagData["Module"], # TelemetryFlagValue = telFlagData["TelemetryFlag"] # ) # res.append(object) # obj = TelemetryResponse # obj.result=res # # obj.Module = telFlagData["Module"] # # obj.TelemetryFlagValue = telFlagData["TelemetryFlag"] # log.debug("Returning from getTelFlagData function") # return obj # except Exception as e: # log.error(str(e)) # log.error("Line No:"+str(e.__traceback__.tb_lineno)) # log.error(str(e.__traceback__.tb_frame)) # # ExceptionDb.create({"UUID":request_id_var.get(),"function":"getTelFlagDataFunction","msg":str(e.__class__.__name__),"description":str(e)+"Line No:"+str(e.__traceback__.tb_lineno)}) # raise Exception(e) # class ApiCall: # # records=[] # # encryptionList=[] # # scoreTreshold= 0.0 # def request(data): # try: # # admin_par[request_id_var]={} # # raise Exception() # # print("==================",os.getenv("ADMIN_CONNECTION")) # # print("==================",os.getenv("ADMIN_CONNECTION")=="False") # if(os.getenv("ADMIN_CONNECTION")=="False" or os.getenv("ADMIN_CONNECTION")=="false"): # # print("--------------------------------------------------------------") # return 404 # # ApiCall.records.clear() # # ApiCall.encryptionList.clear() # payload=AttributeDict({"portfolio":data.portfolio,"account":data.account}) # # payload={"accName":"Infosys","subAccName":"Impact"} # api_url = os.getenv("PRIVADMIN_API") # # print(api_url) # t=time.time() # # aurl="http://10.66.155.13:30016/api/v1/rai/admin/PrivacyDataList" # aurl=api_url # # log.debug(aurl) # # log.debug(str(type(aurl))) # log.debug("Calling Admin Api ======") # # log.debug("api payload:"+str(payload)) # # print(payload) # response1 = requests.post( # url=aurl # , headers={'Content-Type': "application/json", # 'accept': "application/json"} # , json=payload # ) # # print(response1.content[0]) # # response1=httpx.post(aurl, json=payload) # # response1=httpx.post('http://10.66.155.13:30016/api/v1/rai/admin/PrivacyDataList', json=payload) # # log.debug("response="+str(response1)) # # log.debug("response11="+str(response1.text)) # # response1=PrivacyData.getDataList(payload) # entityType,datalist,preEntity,records,encryptionList,scoreTreshold=response1.json()["datalist"] # # print("=========================",time.time()-t) # log.debug("data fetched") # if(len(records)==0): # return None # log.debug("entityType="+str(entityType)) # admin_par[request_id_var.get()]={"encryptionList":encryptionList,"records":records,"scoreTreshold":scoreTreshold[0]} # # print("===============",len(admin_par)) # # ApiCall.encryptionList.extend(encryptionList) # # ApiCall.records.extend(records) # # ApiCall.scoreTreshold=scoreTreshold[0] # return(entityType,datalist,preEntity) # except Exception as e: # log.error(str(e)) # log.error("Line No:"+str(e.__traceback__.tb_lineno)) # log.error(str(e.__traceback__.tb_frame)) # # print("------------------------------",request_id_var.get()) # # ExceptionDb.create({"UUID":request_id_var.get(),"function":"ApiRequestFunction","msg":str(e.__class__.__name__),"description":str(e)+"Line No:"+str(e.__traceback__.tb_lineno)}) # error_dict[request_id_var.get()].append({"UUID":request_id_var.get(),"function":"ApiRequestFunction","msg":str(e.__class__.__name__),"description":str(e)+"Line No:"+str(e.__traceback__.tb_lineno)}) # # print("err",error_dict,error_dict[request_id_var.get()]) # return Exception(e) # # raise Exception(e) # # record=[ele for ele in records if ele.RecogName=="PASSPORT"][0] # def getRecord(name): # # log.debug("name="+str(name)) # # log.debug("ApiCall.records="+str(ApiCall.records)) # record=[ele for ele in admin_par[request_id_var.get()]["records"] if ele["RecogName"]==name][0] # return record # def delAdminList(): # id=request_id_var.get() # if id in admin_par: # del admin_par[id] # class CheckData: # def check(text,values,key="11111111"): # # print("PrivacyService.encrypted_text",Data.encrypted_text) # # text=Data.encrypted_text[0] # print("=========",text) # result=[] # for v in values: # value=Encrypt.encryptData(key,v) # if(value in text): # x=True # else: # x=False # result.append({"value":v,"isPresent":x}) # print(result) # return result