Feature/report gen

backend/Detection_Engine/biometric_detection.py

@@ -59,44 +59,50 @@ def biometric_detect_all(self,pdf_path):
         if (pdf_path.endswith('.pdf')):
             # extract_images_from_pdf(pdf_path)
 
-            images = [f'./Detection_Engine/extracted_images/pdf_images/{i}' for i in os.listdir('./Detection_Engine/extracted_images/pdf_images') if i.endswith('.png')]
+            images = [f'./Detection_Engine/extracted_images/pdf_images/{i}' for i in os.listdir('./Detection_Engine/extracted_images/pdf_images')  if i.endswith('.png') or i.endswith('.jpg')]
 
             output = []
+            count = 0
             for image in images:
+                count += 1
                 output.append(self.biometric_detect_people(image))
 
             png_files = glob.glob(os.path.join("./Detection_Engine/extracted_images/pdf_images", '*.png'))
             for file in png_files:
                 os.remove(file)
 
-            return output
+            return count
 
         elif (pdf_path.endswith('.docx')):
             # extract_images_from_docx(pdf_path)
-            images = [f'./Detection_Engine/extracted_images/docx_images/{i}' for i in os.listdir('./Detection_Engine/extracted_images/docx_images') if i.endswith('.png')]
+            images = [f'./Detection_Engine/extracted_images/docx_images/{i}' for i in os.listdir('./Detection_Engine/extracted_images/docx_images')  if i.endswith('.png') or i.endswith('.jpg')]
             output = []
+            count = 0
             for image in images:
+                count += 1
                 output.append(self.biometric_detect_people(image))
 
             png_files = glob.glob(os.path.join("./Detection_Engine/extracted_images/docx_images", '*.png'))
             for file in png_files:
                 os.remove(file)
 
-            return output
+            return count
 
         elif (pdf_path.endswith('.xlsx')):
             # extract_images_from_excel(pdf_path)
-            images = [f'./Detection_Engine/extracted_images/xlsx_images/{i}' for i in os.listdir('./Detection_Engine/extracted_images/xlsx_images') if i.endswith('.png')]
+            images = [f'./Detection_Engine/extracted_images/xlsx_images/{i}' for i in os.listdir('./Detection_Engine/extracted_images/xlsx_images')  if i.endswith('.png') or i.endswith('.jpg')]
             # images = [f'extracted_images/xlsx_images/{i}' for i in os.listdir('extracted_images/xlsx_images')]
             output = []
+            count = 0
             for image in images:
+                count += 1
                 output.append(self.biometric_detect_people(image))
 
             png_files = glob.glob(os.path.join("./Detection_Engine/extracted_images/xlsx_images", '*.png'))
             for file in png_files:
                 os.remove(file)
 
-            return output
+            return count
 
         directories = [
             "./Detection_Engine/extracted_images/xlsx_images",

backend/Detection_Engine/report_generation_layer.py

@@ -126,17 +126,17 @@ def Image_report(self, path):
 
     def Image_report_generation(self, path):
         arr_ = self.image_classification_layer.biometric_detect_all(path)
-        # return arr_
-        if arr_ is None:
-            return 0
+        # # return arr_
+        # if arr_ is None:
+        #     return 0
 
-        count = 0
-        for detection_list in arr_:
-            for detection in detection_list:
-                if detection.get('label') == 'person':
-                    count += 1
+        # count = 0
+        # for detection_list in arr_:
+        #     for detection in detection_list:
+        #         if detection.get('label') == 'person':
+        #             count += 1
 
-        return count
+        return arr_
 
 #----------------------------------------------------------REPORT GEN END------------------------------------------------------------------#
 

backend/backend_entry.py

@@ -48,7 +48,7 @@ def process(self, path):
         engine = detection_engine()
         # path = input("File Name:  ")
         file = parser.process(path)
-        result = engine.process(file,path)
+        # result = engine.process(file,path)
         result_new = engine.report_generation(file, path)
         # print(result)
 

gnd-app/src/app/home/home.component.ts

@@ -50,6 +50,14 @@ export class HomeComponent implements OnInit, OnDestroy {
           element: '#home',
           intro: 'This button will always navigate you back to the home page'
         },
+        {
+          element:'#upload-document',
+          intro:'This button will navigate you to the upload document page. Where you can upload a document.'
+        },
+        {
+          element: '#inbox',
+          intro: 'This button will navigate you to the inbox page. Where you can see all the attachments in the received inbox.'
+        },
         {
           element: '#help',
           intro: 'This button will navigate you to the help page. Where you will see how to use the app.'

gnd-app/src/app/upload-document/upload-document.component.html

@@ -71,13 +71,8 @@ <h2 class="analysis-header">
       </div>
 
       <div class="upload-data" *ngIf="result">
-
-        <!-- <div class="comp-status">
-          <span *ngIf="documentStatus == 'Compliant'" class="bg-green-100 text-green-800 text-4xl font-medium me-2 px-2.5 py-0.5 rounded dark:bg-green-900 dark:text-green-300">{{ documentStatus }}</span>
-          <span *ngIf="documentStatus == 'Non-Compliant'" class="bg-red-100 text-red-800 text-4xl font-medium me-2 px-2.5 py-0.5 rounded dark:bg-red-900 dark:text-red-300">{{ documentStatus }}</span>        
-        </div> -->
+
         <div class="ner-data">
-          <!-- <strong>NER Count:</strong> {{ nerCount }} -->
           <p class="text-lg font-roboto-bold text-gray-900 dark:text-black">This document potentially references {{ nerCount }} different individuals</p>
         </div>
 
@@ -122,10 +117,7 @@ <h2 class="analysis-header">
         </div>
 
         <div class="divider-text"></div>
-
-        <!-- <div class="CA-data">
-          <strong>Consent Agreement:</strong> {{ consentAgreement }}
-        </div> -->
+
       </div>
 
       <div class="consent-status-container" *ngIf="result">

gnd-app/src/app/upload-document/upload-document.component.spec.ts

@@ -139,3 +139,117 @@
 //   expect(resultContent.innerHTML).toContain('<b>line1</b><br>line2');
 // });
 // });
+// import { ComponentFixture, fakeAsync, TestBed, tick } from '@angular/core/testing';
+// import { UploadDocumentComponent } from './upload-document.component';
+// import { HttpClientTestingModule, HttpTestingController } from '@angular/common/http/testing';
+// import { DebugElement } from '@angular/core';
+// import { By } from '@angular/platform-browser';
+// import { NO_ERRORS_SCHEMA } from '@angular/core';
+// import { RouterTestingModule } from '@angular/router/testing';
+// import { ActivatedRoute } from '@angular/router';
+// import { of } from 'rxjs';
+
+// describe('UploadDocumentComponent', () => {
+//   let component: UploadDocumentComponent;
+//   let fixture: ComponentFixture<UploadDocumentComponent>;
+//   let httpMock: HttpTestingController;
+//   let debugElement: DebugElement;
+
+//   beforeEach(async () => {
+//     await TestBed.configureTestingModule({
+//       imports: [RouterTestingModule, HttpClientTestingModule, UploadDocumentComponent],
+//       providers: [
+//         {
+//           provide: ActivatedRoute,
+//           useValue: {
+//             paramMap: of({
+//               get: (key: string) => {
+//                 switch (key) {
+//                   case 'fileType': return 'someFileType';
+//                   default: return null;
+//                 }
+//               }
+//             })
+//           }
+//         }
+//       ],
+//       schemas: [NO_ERRORS_SCHEMA]
+//     })
+//     .compileComponents();
+
+//     fixture = TestBed.createComponent(UploadDocumentComponent);
+//     component = fixture.componentInstance;
+//     fixture.detectChanges();
+//     debugElement = fixture.debugElement;
+//     httpMock = TestBed.inject(HttpTestingController);
+//   });
+
+//   it('should create', () => {
+//     expect(component).toBeTruthy();
+//   });
+
+//   afterEach(() => {
+//     httpMock.verify();
+//   });
+
+//   it('should call onFileSelected and upload file', fakeAsync(() => {
+//     const file = new File(['file content'], 'test.txt', { type: 'text/plain' });
+//     const input = fixture.debugElement.query(By.css('input[type="file"]')).nativeElement;
+
+//     spyOn(component, 'onFileSelected').and.callThrough();
+
+//     input.dispatchEvent(new Event('change'));
+//     input.files = [file];
+
+//     fixture.detectChanges();
+//     tick();
+
+//     expect(component.onFileSelected).toHaveBeenCalled();
+//     expect(component.fileName).toBe('test.txt');
+
+//     const req = httpMock.expectOne('http://127.0.0.1:8000/file-upload-new');
+//     expect(req.request.method).toBe('POST');
+//     req.flush({
+//       fileName: 'test.txt',
+//       result: 'file processed',
+//       documentStatus: 'Compliant',
+//       nerCount: 5,
+//       location: 'New York',
+//       personalData: 'Present',
+//       financialData: 'Present',
+//       contactData: 'Present',
+//       medicalData: 'Absent',
+//       ethnicData: 'Absent',
+//       biometricData: 'Absent',
+//       consentAgreement: 'Consent obtained'
+//     });
+
+//     fixture.detectChanges();
+//     tick();
+
+//     expect(component.result).toBe('file processed');
+//     expect(component.documentStatus).toBe('Compliant');
+//   }));
+
+//   it('should display the analysis result in the analysis window', () => {
+//     const file = new File(['file content'], 'test.txt', { type: 'text/plain' });
+//     const input = debugElement.query(By.css('input[type="file"]')).nativeElement;
+
+//     const dataTransfer = new DataTransfer();
+//     dataTransfer.items.add(file);
+
+//     input.files = dataTransfer.files;
+//     input.dispatchEvent(new Event('change', { bubbles: true, cancelable: true }));
+
+//     const req = httpMock.expectOne('http://127.0.0.1:8000/file-upload-new');
+//     req.flush({ fileName: 'test.txt', result: 'line1\nline2' });
+
+//     fixture.detectChanges();
+
+//     const analysisHeader = debugElement.query(By.css('.analysis-box-header')).nativeElement;
+//     const resultContent = debugElement.query(By.css('.result-content')).nativeElement;
+
+//     expect(analysisHeader.textContent).toContain('Analysis Result:');
+//     expect(resultContent.innerHTML).toContain('<b>line1</b><br>line2');
+//   });
+// });