def upload_photo_id_image(self, img_data):
"""
Upload an the user's photo ID image to S3. `img_data` should be a raw
bytestream of a PNG image. This method will take the data, encrypt it
using a randomly generated AES key, encode it with base64 and save it to
S3. The random key is also encrypted using Software Secure's public RSA
key and stored in our `photo_id_key` field.
Yes, encoding it to base64 adds compute and disk usage without much real
benefit, but that's what the other end of this API is expecting to get.
"""
# Skip this whole thing if we're running acceptance tests or if we're
# developing and aren't interested in working on student identity
# verification functionality. If you do want to work on it, you have to
# explicitly enable these in your private settings.
if settings.FEATURES.get(
'AUTOMATIC_VERIFY_STUDENT_IDENTITY_FOR_TESTING'):
return
aes_key = random_aes_key()
rsa_key_str = settings.VERIFY_STUDENT["SOFTWARE_SECURE"][
"RSA_PUBLIC_KEY"]
rsa_encrypted_aes_key = rsa_encrypt(aes_key, rsa_key_str)
# Upload this to S3
s3_key = self._generate_s3_key("photo_id")
s3_key.set_contents_from_string(encrypt_and_encode(img_data, aes_key))
# Update our record fields
self.photo_id_key = rsa_encrypted_aes_key.encode('base64')
self.save()
def upload_photo_id_image(self, img_data):
"""
Upload an the user's photo ID image to S3. `img_data` should be a raw
bytestream of a PNG image. This method will take the data, encrypt it
using a randomly generated AES key, encode it with base64 and save it to
S3. The random key is also encrypted using Software Secure's public RSA
key and stored in our `photo_id_key` field.
Yes, encoding it to base64 adds compute and disk usage without much real
benefit, but that's what the other end of this API is expecting to get.
"""
# Skip this whole thing if we're running acceptance tests or if we're
# developing and aren't interested in working on student identity
# verification functionality. If you do want to work on it, you have to
# explicitly enable these in your private settings.
if settings.FEATURES.get('AUTOMATIC_VERIFY_STUDENT_IDENTITY_FOR_TESTING'):
return
aes_key = random_aes_key()
rsa_key_str = settings.VERIFY_STUDENT["SOFTWARE_SECURE"]["RSA_PUBLIC_KEY"]
rsa_encrypted_aes_key = rsa_encrypt(aes_key, rsa_key_str)
# Upload this to S3
s3_key = self._generate_s3_key("photo_id")
s3_key.set_contents_from_string(encrypt_and_encode(img_data, aes_key))
# Update our record fields
self.photo_id_key = rsa_encrypted_aes_key.encode('base64')
self.save()
def upload_face_image(self, img_data):
"""
Upload an image of the user's face to S3. `img_data` should be a raw
bytestream of a PNG image. This method will take the data, encrypt it
using our FACE_IMAGE_AES_KEY, encode it with base64 and save it to S3.
Yes, encoding it to base64 adds compute and disk usage without much real
benefit, but that's what the other end of this API is expecting to get.
"""
# Skip this whole thing if we're running acceptance tests or if we're
# developing and aren't interested in working on student identity
# verification functionality. If you do want to work on it, you have to
# explicitly enable these in your private settings.
if settings.FEATURES.get('AUTOMATIC_VERIFY_STUDENT_IDENTITY_FOR_TESTING'):
img_name = uuid.uuid1().hex + '.png'
img_path = '{0}/verification_photos/face'.format(settings.MEDIA_ROOT)
if not os.path.exists(img_path):
os.makedirs(img_path)
with open('{0}/{1}'.format(img_path, img_name), "wb") as f:
f.write(img_data)
self.face_image_url = '{0}verification_photos/face/{1}'.format(settings.MEDIA_URL, img_name)
self.save()
return
aes_key_str = settings.VERIFY_STUDENT["SOFTWARE_SECURE"]["FACE_IMAGE_AES_KEY"]
aes_key = aes_key_str.decode("hex")
s3_key = self._generate_s3_key("face")
s3_key.set_contents_from_string(encrypt_and_encode(img_data, aes_key))
def upload_face_image(self, img_data):
aes_key_str = settings.VERIFY_STUDENT["SOFTWARE_SECURE"][
"FACE_IMAGE_AES_KEY"]
aes_key = aes_key_str.decode("hex")
s3_key = self._generate_key("face")
s3_key.set_contents_from_string(encrypt_and_encode(img_data, aes_key))
def assert_roundtrip(text):
assert_equals(text, aes_decrypt(aes_encrypt(text, key), key))
assert_equals(
text,
decode_and_decrypt(
encrypt_and_encode(text, key),
key
)
)
def upload_photo_id_image(self, img_data):
aes_key = random_aes_key()
rsa_key_str = settings.VERIFY_STUDENT["SOFTWARE_SECURE"]["RSA_PUBLIC_KEY"]
rsa_encrypted_aes_key = rsa_encrypt(aes_key, rsa_key_str)
# Upload this to S3
s3_key = self._generate_key("photo_id")
s3_key.set_contents_from_string(encrypt_and_encode(img_data, aes_key))
# Update our record fields
self.photo_id_key = rsa_encrypted_aes_key.encode('base64')
self.save()
def upload_photo_id_image(self, img_data):
aes_key = random_aes_key()
rsa_key_str = settings.VERIFY_STUDENT["SOFTWARE_SECURE"]["RSA_PUBLIC_KEY"]
rsa_encrypted_aes_key = rsa_encrypt(aes_key, rsa_key_str)
# Upload this to S3
s3_key = self._generate_key("photo_id")
s3_key.set_contents_from_string(encrypt_and_encode(img_data, aes_key))
# Update our record fields
self.photo_id_key = rsa_encrypted_aes_key.encode('base64')
self.save()
def upload_face_image(self, img_data):
"""
Upload an image of the user's face to S3. `img_data` should be a raw
bytestream of a PNG image. This method will take the data, encrypt it
using our FACE_IMAGE_AES_KEY, encode it with base64 and save it to S3.
Yes, encoding it to base64 adds compute and disk usage without much real
benefit, but that's what the other end of this API is expecting to get.
"""
# Skip this whole thing if we're running acceptance tests or if we're
# developing and aren't interested in working on student identity
# verification functionality. If you do want to work on it, you have to
# explicitly enable these in your private settings.
if settings.FEATURES.get('AUTOMATIC_VERIFY_STUDENT_IDENTITY_FOR_TESTING'):
return
aes_key_str = settings.VERIFY_STUDENT["SOFTWARE_SECURE"]["FACE_IMAGE_AES_KEY"]
aes_key = aes_key_str.decode("hex")
s3_key = self._generate_s3_key("face")
s3_key.set_contents_from_string(encrypt_and_encode(img_data, aes_key))
def upload_face_image(self, img_data):
"""
Upload an image of the user's face to S3. `img_data` should be a raw
bytestream of a PNG image. This method will take the data, encrypt it
using our FACE_IMAGE_AES_KEY, encode it with base64 and save it to S3.
Yes, encoding it to base64 adds compute and disk usage without much real
benefit, but that's what the other end of this API is expecting to get.
"""
# Skip this whole thing if we're running acceptance tests or if we're
# developing and aren't interested in working on student identity
# verification functionality. If you do want to work on it, you have to
# explicitly enable these in your private settings.
if settings.FEATURES.get('AUTOMATIC_VERIFY_STUDENT_IDENTITY_FOR_TESTING'):
return
aes_key_str = settings.VERIFY_STUDENT["SOFTWARE_SECURE"]["FACE_IMAGE_AES_KEY"]
aes_key = aes_key_str.decode("hex")
s3_key = self._generate_s3_key("face")
s3_key.set_contents_from_string(encrypt_and_encode(img_data, aes_key))
def upload_face_image(self, img_data):
aes_key_str = settings.VERIFY_STUDENT["SOFTWARE_SECURE"]["FACE_IMAGE_AES_KEY"]
aes_key = aes_key_str.decode("hex")
s3_key = self._generate_key("face")
s3_key.set_contents_from_string(encrypt_and_encode(img_data, aes_key))
def assert_roundtrip(text):
assert_equals(text, aes_decrypt(aes_encrypt(text, key), key))
assert_equals(text,
decode_and_decrypt(encrypt_and_encode(text, key), key))