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# Copyright 2018 Google LLC

#

# Licensed under the Apache License, Version 2.0 (the 'License');

# you may not use this file except in compliance with the License.

# You may obtain a copy of the License at

#

# http://www.apache.org/licenses/LICENSE-2.0

#

# Unless required by applicable law or agreed to in writing, software

# distributed under the License is distributed on an 'AS IS' BASIS,

# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

# See the License for the specific language governing permissions and

# limitations under the License.

# [START cloudrun_imageproc_handler_setup]

# [START run_imageproc_handler_setup]

import os

import tempfile

from google.cloud import storage, vision

from wand.image import Image

storage_client = storage.Client()

vision_client = vision.ImageAnnotatorClient()

# [END run_imageproc_handler_setup]

# [END cloudrun_imageproc_handler_setup]

# [START cloudrun_imageproc_handler_analyze]

# [START run_imageproc_handler_analyze]

# Blurs uploaded images that are flagged as Adult or Violence.

def blur_offensive_images(data):

file_data = data

file_name = file_data["name"]

bucket_name = file_data["bucket"]

blob = storage_client.bucket(bucket_name).get_blob(file_name)

blob_uri = f"gs://{bucket_name}/{file_name}"

blob_source = vision.Image(source=vision.ImageSource(image_uri=blob_uri))

# Ignore already-blurred files

if file_name.startswith("blurred-"):

print(f"The image {file_name} is already blurred.")

return

print(f"Analyzing {file_name}.")

result = vision_client.safe_search_detection(image=blob_source)

detected = result.safe_search_annotation

# Process image

if detected.adult == 5 or detected.violence == 5:

print(f"The image {file_name} was detected as inappropriate.")

return __blur_image(blob)

else:

print(f"The image {file_name} was detected as OK.")

# [END run_imageproc_handler_analyze]

# [END cloudrun_imageproc_handler_analyze]

# [START cloudrun_imageproc_handler_blur]

# [START run_imageproc_handler_blur]

# Blurs the given file using ImageMagick.

def __blur_image(current_blob):

file_name = current_blob.name

_, temp_local_filename = tempfile.mkstemp()

# Download file from bucket.

current_blob.download_to_filename(temp_local_filename)

print(f"Image {file_name} was downloaded to {temp_local_filename}.")

# Blur the image using ImageMagick.

with Image(filename=temp_local_filename) as image:

image.resize(*image.size, blur=16, filter="hamming")

image.save(filename=temp_local_filename)

print(f"Image {file_name} was blurred.")

# Upload result to a second bucket, to avoid re-triggering the function.

# You could instead re-upload it to the same bucket + tell your function

# to ignore files marked as blurred (e.g. those with a "blurred" prefix)

blur_bucket_name = os.getenv("BLURRED_BUCKET_NAME")

blur_bucket = storage_client.bucket(blur_bucket_name)

new_blob = blur_bucket.blob(file_name)

new_blob.upload_from_filename(temp_local_filename)

print(f"Blurred image uploaded to: gs://{blur_bucket_name}/{file_name}")

# Delete the temporary file.

os.remove(temp_local_filename)

# [END run_imageproc_handler_blur]

# [END cloudrun_imageproc_handler_blur]