Update app.py

app.py

@@ -1,69 +1,29 @@
-import os
-import salesforce
-from salesforce import Salesforce
-import face_recognition
-import cv2
-from PIL import Image
+from simple_salesforce import Salesforce
 
-# Salesforce Credentials
-sf_username = 'ajayalways411@gmail.com'
-sf_password = 'Anusha@310819'
-sf_token = 'DcroeUKt0Lc4Lpqgzh9dMxEyQ'
+# Salesforce credentials
+username = 'your_username'
+password = 'your_password'
+security_token = 'your_security_token'
+domain = 'login'  # Use 'test' if using a sandbox
 
-# Email Credentials
-email_username = 'ajayk999@gmail.com'
-email_password = 'rkgx lepk fykg jbuh'
-email_to = 'ajayaklaram07@gmail.com'
+# Connect to Salesforce
+sf = Salesforce(username=username, password=password, security_token=security_token, domain=domain)
 
-# Initialize Salesforce
-sf = Salesforce(username=sf_username, password=sf_password, security_token=sf_token)
+# Define your custom object API names (replace 'Custom_Object__c' with your actual custom object API names)
+custom_object_1 = 'staff__c'
+custom_object_2 = 'CustomerDat__c'
 
-# Retrieve records from custom objects
-staff_records = sf.query("SELECT Id, Name, AdhardCard__c, contactNumber__c, pancard__c FROM Staff__c")
-customer_records = sf.query("SELECT Id, Name, AdhardCardPhoto__c, PhoneNumber__c FROM CustomerData__c")
+# Retrieve records from the first custom object
+records_custom_object_1 = sf.query(f"SELECT Name, AdhardCardPhoto__c, pancardPhoto__c, PhoneNumber__c FROM {custom_object_1}")
 
-# Combine records
-records = staff_records['records'] + customer_records['records']
+# Retrieve records from the second custom object
+records_custom_object_2 = sf.query(f"SELECT name, AdhardCard__c,contactNumber__c, pancard__c FROM {custom_object_2}")
 
-# Create a dictionary to store known faces
-known_faces = {}
-for record in records:
-    image_url = record['Image__c']
-    image_response = requests.get(image_url)
-    image = face_recognition.load_image_file(BytesIO(image_response.content))
-    face_encoding = face_recognition.face_encodings(image)[0]
-    known_faces[record['Name']] = face_encoding
+# Print retrieved records
+print("Records from Custom Object 1:")
+for record in records_custom_object_1['records']:
+    print(record)
 
-# Upload folder from local computer
-local_folder = '"C:\Users\nikit\OneDrive\Desktop\images"'
-repo = Repository(local_folder, 'ajayalways411/facerecognition')
-
-# Loop through images in uploaded folder
-for file in repo.listdir():
-    if file.endswith('.jpg') or file.endswith('.png'):
-        image_path = os.path.join(local_folder, file)
-        image = face_recognition.load_image_file(image_path)
-        face_encodings = face_recognition.face_encodings(image)
-
-        for face_encoding in face_encodings:
-            matches = face_recognition.compare_faces(list(known_faces.values()), face_encoding)
-
-            if True in matches:
-                name = list(known_faces.keys())[matches.index(True)]
-                print(f"Face recognized: {name}")
-            else:
-                print(f"Face unrecognized: Unknown")
-                # Send email alert
-                import smtplib
-                from email.mime.text import MIMEText
-
-                msg = MIMEText(f"Unknown face detected: {file}")
-                msg['Subject'] = 'Unknown Face Detected'
-                msg['From'] = email_username
-                msg['To'] = email_to
-
-                server = smtplib.SMTP('(link unavailable)', 587)
-                server.starttls()
-                server.login(email_username, email_password)
-                server.sendmail(email_username, email_to, msg.as_string())
-                server.quit()  
+print("\nRecords from Custom Object 2:")
+for record in records_custom_object_2['records']:
+    print(record)