Patreon + Cloud Firestore Integrations

Patreon is a membership platform that allows creators to get paid for producing content. On Patreon, creators can invite their fans to become patrons who support them on a recurring basis and in turn receive exclusive access to content like videos, podcasts, photos, and more.Cloud Firestore is a fully managed, NoSQL document database for mobile, web, and server development from Google Cloud Platform. It lets you store and sync data quickly and easily.Cloud Firestore provides a cloud-hosted database with no setup or administration required. Data is stored as JSON documents, making it easier for your application to access and combine it with other data sources. You can use Cloud Firestore to store and sync both your users' personal data and your application's data across multiple clients and platforms.Cloud Firestore includes client libraries for Android, iOS, JavaScript, Node.js, and C++. The Firebase Admin SDK also includes a REST API for creating, updating, and deleting documents. It supports authentication using OAuth 2.0 and Google Sign-In.With this blog post we will be covering how to integrate Patreon with Cloud Firestore .This blog post aims to provide an overview of how the integration works and lay out some of the benefits that you can achieve through the integration. We will do this by showcasing an example application that integrates Patreon with Cloud Firestore using the Firebase Admin SDKs and Google App Engine .

The fplowing steps will guide you through integrating Patreon with Cloud Firestore using the Firebase Admin SDKs and Google App Engine .Create a project on Google Cloud Platform Conspe . Create a new project called "PatreonCloudFirestore". Enable billing for your project. Enable the Firebase Admin SDKs in the project by going to the Catalog section of the conspe. Enable the fplowing:Cloud Firestore APICloud Storage API Create a file called app.yaml and add the fplowing code block to it. default_applications. - name. firebase_storage cloud_functions. - name. cloud_firestore_analytics script. cloud-firestore-analytics.cloudfunctions.json namer. firebase_storage Edit the file cloud-firestore-analytics.cloudfunctions.json and add the fplowing code block. { "databaseURL". "https://${project}.appspot.com/database" } Replace ${project} with your project ID. Create a file called functions/cloud_firestore_analytics/cloud-firestore-analytics.py and add the fplowing code block to it. import os import json from google.cloud import firebase_admin from google.cloud import storage # assumes you've imported google cloud libraries above project = os.getenv('PROJECT'. database = firebase_admin.database(project. storage_bucket = os.getenv('STORAGE_BUCKET'. ## If you want to count only uploads while not counting downloads, uncomment ## the fplowing line #if (storage_bucket['object'].downloads(.count(. != 0. # return True #else. files = [] # List all objects in this bucket for container in storage_bucket['buckets']. if container['name'] == 'firebase-analytics'. continue for object in container['objects']. files.append(object['filename']. # Increment the counter total = 0 for entry in files. obj = { "filename". entry } if entry == 'index.html'. total += 1 print("Total number of files. {}".format(total. return total Replace ${project} with your project ID and ${STORAGE_BUCKET} with the name of the bucket you created for storing objects in Cloud Storage . Deploy your application to Google App Engine . Open your web browser and navigate to http://localhost:8080/cloud-firestore-analytics . You should see the fplowing output in your terminal. Total number of files. 1 In this blog post we covered how to integrate Patreon with Cloud Firestore using the Firebase Admin SDKs .For more information about Cloud Firestore, please visit our official documentation and Firebase documentation .

The process to integrate Patreon and Cloud Firestore may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.