responsible-ai-privacy/src/privacy/service/test_service.py

'''
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