bluemyria · May 16, 2023 15:15
diff --git a/1_quiz_gcp_storage.py b/1_quiz_gcp_storage.py
 # Get the Bucket name from the GCLOUD_BUCKET environment variable
 bucket_name = os.getenv('GCLOUD_BUCKET')

 # Import the storage module
 from google.cloud import storage

 # Create a client for Cloud Storage
 storage_client = storage.Client()

 # Use the client to get the Cloud Storage bucket
 bucket = storage_client.get_bucket(bucket_name)

 """
 Uploads a file to a given Cloud Storage bucket and returns the public url
 to the new object.
 """
 def upload_file(image_file, public):
    # Use the bucket to get a blob object
    blob = bucket.blob(image_file.filename)
    
    # Use the blob to upload the file
    blob.upload_from_string(
        image_file.read(),
        content_type=image_file.content_type)
    
    # Make the object public
    if public:
        blob.make_public()

    # Modify to return the blob's Public URL
    return blob.public_url
diff --git a/2_quiz_webapp_questions.py b/2_quiz_webapp_questions.py
 # Import the storage module
 from quiz.gcp import storage, datastore

 """
 uploads file into google cloud storage
 - upload file
 - return public_url
 """
 def upload_file(image_file, public):
    if not image_file:
        return None

    # Use the storage client to Upload the file
    # The second argument is a boolean
    public_url = storage.upload_file(
       image_file,
       public
    )

    # Return the public URL for the object
    return public_url

 """
 uploads file into google cloud storage
 - call method to upload file (public=true)
 - call datastore helper method to save question
 """
 def save_question(data, image_file):
    # If there is an image file, then upload it
    # And assign the result to a new Datastore
    # property imageUrl
    # If there isn't, assign an empty string
    if image_file:
        data['imageUrl'] = unicode(
                  upload_file(image_file, True))
    else:
        data['imageUrl'] = u''

    data['correctAnswer'] = int(data['correctAnswer'])
    datastore.save_question(data)
    return
diff --git a/3_GCP_Console.sh b/3_GCP_Console.sh
 git clone https://github.com/GoogleCloudPlatform/training-data-analyst
 cd ~/training-data-analyst/courses/developingapps/python/cloudstorage/start
 # Run prepare_environment.sh, ie Create an App Engine application, 
 # export an environment variable, GCLOUD_PROJECT.
 # Update pip, then run pip install -r requirements.txt.
 # Create entities in Cloud Datastore.
 # Print out the Google Cloud Platform Project ID.
 . prepare_environment.sh
 python run_server.py

 gsutil mb gs://$DEVSHELL_PROJECT_ID-media
 export GCLOUD_BUCKET=$DEVSHELL_PROJECT_ID-media
diff --git a/4_prepare_environment.sh b/4_prepare_environment.sh
 #!/bin/bash

 # Copyright 2017 Google Inc.
 #
 # 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.

 echo "Creating Datastore/App Engine instance"
 gcloud app create --region "us-central"

 echo "Exporting GCLOUD_PROJECT"
 export GCLOUD_PROJECT=$DEVSHELL_PROJECT_ID

 #echo "Creating virtual environment"
 #mkdir ~/venvs
 #virtualenv ~/venvs/developingapps
 #source ~/venvs/developingapps/bin/activate

 echo "Installing Python libraries"
 sudo pip install --upgrade pip
 sudo pip install -r requirements.txt

 echo "Creating Datastore entities"
 python add_entities.py

 echo "Project ID: $DEVSHELL_PROJECT_ID"
	# Get the Bucket name from the GCLOUD_BUCKET environment variable
	bucket_name = os.getenv('GCLOUD_BUCKET')

	# Import the storage module
	from google.cloud import storage

	# Create a client for Cloud Storage
	storage_client = storage.Client()

	# Use the client to get the Cloud Storage bucket
	bucket = storage_client.get_bucket(bucket_name)

	"""
	Uploads a file to a given Cloud Storage bucket and returns the public url
	to the new object.
	"""
	def upload_file(image_file, public):
	# Use the bucket to get a blob object
	blob = bucket.blob(image_file.filename)

	# Use the blob to upload the file
	blob.upload_from_string(
	image_file.read(),
	content_type=image_file.content_type)

	# Make the object public
	if public:
	blob.make_public()

	# Modify to return the blob's Public URL
	return blob.public_url
	# Import the storage module
	from quiz.gcp import storage, datastore

	"""
	uploads file into google cloud storage
	- upload file
	- return public_url
	"""
	def upload_file(image_file, public):
	if not image_file:
	return None

	# Use the storage client to Upload the file
	# The second argument is a boolean
	public_url = storage.upload_file(
	image_file,
	public
	)

	# Return the public URL for the object
	return public_url

	"""
	uploads file into google cloud storage
	- call method to upload file (public=true)
	- call datastore helper method to save question
	"""
	def save_question(data, image_file):
	# If there is an image file, then upload it
	# And assign the result to a new Datastore
	# property imageUrl
	# If there isn't, assign an empty string
	if image_file:
	data['imageUrl'] = unicode(
	upload_file(image_file, True))
	else:
	data['imageUrl'] = u''

	data['correctAnswer'] = int(data['correctAnswer'])
	datastore.save_question(data)
	return
	git clone https://github.com/GoogleCloudPlatform/training-data-analyst
	cd ~/training-data-analyst/courses/developingapps/python/cloudstorage/start
	# Run prepare_environment.sh, ie Create an App Engine application,
	# export an environment variable, GCLOUD_PROJECT.
	# Update pip, then run pip install -r requirements.txt.
	# Create entities in Cloud Datastore.
	# Print out the Google Cloud Platform Project ID.
	. prepare_environment.sh
	python run_server.py

	gsutil mb gs://$DEVSHELL_PROJECT_ID-media
	export GCLOUD_BUCKET=$DEVSHELL_PROJECT_ID-media
	#!/bin/bash

	# Copyright 2017 Google Inc.
	#
	# 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.

	echo "Creating Datastore/App Engine instance"
	gcloud app create --region "us-central"

	echo "Exporting GCLOUD_PROJECT"
	export GCLOUD_PROJECT=$DEVSHELL_PROJECT_ID

	#echo "Creating virtual environment"
	#mkdir ~/venvs
	#virtualenv ~/venvs/developingapps
	#source ~/venvs/developingapps/bin/activate

	echo "Installing Python libraries"
	sudo pip install --upgrade pip
	sudo pip install -r requirements.txt

	echo "Creating Datastore entities"
	python add_entities.py

	echo "Project ID: $DEVSHELL_PROJECT_ID"