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GCP Dev: 2. Storing Application Data in Cloud Datastore - Python
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| # Import the os module | |
| import os | |
| # Use the os module to get the GCLOUD_PROJECT environment variable | |
| project_id = os.getenv('GCLOUD_PROJECT') | |
| from flask import current_app | |
| # Import the datastore module from the google.cloud package. | |
| from google.cloud import datastore | |
| # Declare a datastore.Client client object named datastore_client | |
| datastore_client = datastore.Client(project_id) | |
| """ | |
| Create and persist and entity for each question | |
| The Datastore key is the equivalent of a primary key in a relational database. | |
| There are two main ways of writing a key: | |
| 1. Specify the kind, and let Datastore generate a unique numeric id | |
| 2. Specify the kind and a unique string id | |
| """ | |
| def save_question(question): | |
| # Create a key for a Datastore entity whose kind is Question | |
| key = datastore_client.key('Question') | |
| # Create a Datastore entity object using the key | |
| q_entity = datastore.Entity(key=key) | |
| # Iterate over the form values supplied to the function | |
| # & Assign each key and value to the Datastore entity | |
| for q_prop, q_val in question.iteritems(): | |
| q_entity[q_prop] = q_val | |
| # Save the entity | |
| datastore_client.put(q_entity) | |
| # Write code to retrieve Cloud Datastore entities | |
| """ | |
| Returns a list of question entities for a given quiz | |
| - filter by quiz name, defaulting to gcp | |
| - no paging | |
| - add in the entity key as the id property | |
| - if redact is true, remove the correctAnswer property from each entity | |
| """ | |
| def list_entities(quiz='gcp', redact=True): | |
| query = datastore_client.query(kind='Question') | |
| query.add_filter('quiz', '=', quiz) | |
| results = list(query.fetch()) | |
| for result in results: | |
| result['id'] = result.key.id | |
| if redact: | |
| for result in results: | |
| del result['correctAnswer'] | |
| return results |
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| cd ~/training-data-analyst/courses/developingapps/python/datastore/start | |
| export GCLOUD_PROJECT=$DEVSHELL_PROJECT_ID | |
| sudo pip install -r requirements.txt | |
| python run_server.py | |
| # Web preview > Preview on port 8080 | |
| # from GCP Console: Launch the code editor icon (looks like a pencil) | |
| # Adding Entities to Cloud Datastore (form data of the quiz app) | |
| # Create an App Engine application to provision Cloud Datastore | |
| gcloud app create --region "us-central" | |
| # (You aren't using App Engine for your web application yet. | |
| # but Cloud Datastore requires you to create an App Engine application in your project.) | |
| # after updating quiz_gcp_datastore.py | |
| python run_server.py | |
| # Web preview > Preview on port 8080 | |
| # Navigation menu > Datastore > Entities |
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