?>

uProc + Cloud Firestore Integrations

Appy Pie Connect allows you to automate multiple workflows between uProc and Cloud Firestore

About uProc

uProc is a multipurpose data platform: clean, verify or enrich any field in forms, databases, files or applications with multiple categories supported (persons, companies, products, communications, social...).

About Cloud Firestore

Cloud Firestore is a cloud-hosted, NoSQL database that your iOS, Android, and web apps can access directly via native SDKs. Cloud Firestore

Cloud Firestore Integrations
Cloud Firestore Alternatives

Connect the apps you use everyday and find your productivity super-powers.

  • Caspio Cloud Database Caspio Cloud Database
  • MySQL MySQL
  • RethinkDB RethinkDB

Best uProc and Cloud Firestore Integrations

  • uProc MySQL

    Cloud Firestore + MySQL

    Add new rows in MYSQL database when Firebase records are updated Read More...
    When this happens...
    uProc New Document Within a Firestore Collection
     
    Then do this...
    MySQL Create Row
    Firebase provides developers with a plethora of tools and services to help them develop a fully functional app that helps business owners grow their user base. Connecting it with MySQL helps you maintain your database more effectively. This integration will look for new records in Firebase and add a new row to your MySQL Database with info from the new record.
    How This Cisco Cloud Firestore – MySQL Integration Works
    • A new document is added in Cloud Firebase collection
    • Appy Pie Connect will automatically create new row in MySQL
    You Will Require
    • Cloud Firestore account
    • MySQL account
  • uProc WordPress

    Cloud Firestore + WordPress

    Send notifications to a Slack channel when new Firestore documents are added to a collection Read More...
    When this happens...
    uProc New Document Within a Firestore Collection
     
    Then do this...
    WordPress Create Post


    You'll want to know when you have fresh materials available. Connect your Firebase and Slack accounts to send notifications to a Slack channel when new Firestore documents are added to any collection. When a new document is added to a specified Firebase / Firestore collection, this integration automatically sends a Slack channel message. You'll be notified once new papers become available.
    How this Cloud Firebase – Slack Integration Works
    • A new document is added in Cloud Firebase collection
    • Appy Pie Connect send a message in a channel in Slack
    You Will Require
    • Cloud Firestore account
    • MySQL account
  • uProc WordPress

    {{item.triggerAppName}} + {{item.actionAppName}}

    {{item.message}} Read More...
    When this happens...
    uProc {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppImage}} {{item.actionTitle}}
Connect uProc + Cloud Firestore in easier way

It's easy to connect uProc + Cloud Firestore without coding knowledge. Start creating your own business flow.

    Triggers
  • New Document Within a Firestore Collection

    New Document Within a Firestore Collection

    Actions
  • Select Tool

    Select a tool to perform verification or enrichment

  • Create Cloud Firestore Document

    Creates a new document within a Cloud Firestore collection.

How uProc & Cloud Firestore Integrations Work

  1. Step 1: Choose uProc as a trigger app and Select "Trigger" from the Triggers List.

    (30 seconds)

  2. Step 2: Authenticate uProc with Appy Pie Connect.

    (10 seconds)

  3. Step 3: Select Cloud Firestore as an action app.

    (30 seconds)

  4. Step 4: Pick desired action for the selected trigger.

    (10 seconds)

  5. Step 5: Authenticate Cloud Firestore with Appy Pie Connect.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of uProc and Cloud Firestore

Cloud Firestore is a fully-managed database service on Firebase that provides cloud storage for your app and scales with your business. Cloud Firestore is designed to be fast, scalable, and secure.

uProc is a very powerful framework for mobile applications that makes it easy to build data-driven apps. It is a new programming model that provides an efficient and powerful way to create applications for mobile devices. It leverages Google’s extensive experience in building high-performance, distributed systems. uProc is built on top of the Dart language, which was specifically designed for building fast, scalable web applications.

Integration of uProc and Cloud Firestore

The uProc framework allows you to define a POD or POJO (Plain Old Dart Objects. class, which can be persisted into a persistent store. This class can contain any number of fields of any type, but must have at least one field named id. This ID field will be the primary key field for the class and will be used as the object key in the underlying store. For example, if you define a class named ‘Post’, it will be stored in the database as [Post:1], [Post:2], etc.

The uProc framework provides a simple way to synchronize your data between different stores by defining multiple persistence models in your application. In this tutorial, we will integrate uProc with Cloud Firestore for saving and retrieving data and using Cloud Functions to update local data.

The fplowing steps show how to integrate uProc with Cloud Firestore:

Add uProc dependency to our app. Create a POD class in our app. Add a sample object to your DB from the uProc client. Get the object from your DB. Update your local data with Cloud Function and sync it with Cloud Firestore database.

  • Add uProc dependency to our app:

Firebase requires that you specify either Dart or Java as the target language for your project when you initialize your project with Firebase CLI. We use Dart as the main language for this tutorial. To add uProc dependency, add the fplowing line in pubspec.yaml file.

dependencies . uproc . ^0.2 . 9

  • Create a POD class in our app:

Now let us create a POD class where we will save our data using uProc framework. First, create a class Post in my_app/models/post.dart file and define fields for each of the properties of the Post model. The code below shows how to define all fields of a Post model:

import 'package:uproc/model_utils.dart' ; import 'package:cloud_firestore/cloud_firestore_types.dart' ; final class Post { String title; String description; String content; Date timeStamp; int id; } @ associatedtype Data @associatedtype (name='ContentType'. Future < ContentType > data = null ; @ associatedtype Id < Post , User > ownerId = null ; @associatedtype Likes < Post , User > likes = null ; @associatedtype DisLikes < Post , User > dislikes = null ; @associatedtype Comments < Post , User > comments = null ; @associatedtype CommentsResponse < Post , User > commentsResponse = null ; @associatedtype CommentsNoResponse < Post , User > commentsNoResponse = null ; @associatedtype LikeResponse < Post , User > likeResponse = null ; @associatedtype LikeNoResponse < Post , User > likeNoResponse = null ; @associatedtype ReplyToComment < Post , User > replyToComment = null ; @associatedtype ReplyToLikeComment < Post , User > replyToLikeComment = null ; @associatedtype ShareOnStory < Post , User > shareOnStory = null ; @associatedtype ShareOnStoryFromWebhook < Post , User > shareOnStoryFromWebhook = null ; @associatedtype Stories < Post , User > stories = null ; @required Future < void > save (. @required Future < void > delete (. } class CommentedBy { final Comment comment; CommentedBy( this .comment); } @ required Future < void > save (. { ... } @ provided Future < void > update (. { ... } final PeerFieldReadCallback peerFieldReadCallback = new PeerFieldReadCallback (); static const DART_IMPORTED_MODULE = 'uproc' ; const DART_IMPORTED_MODULE = './my_app/models/post.dart' ; const FIELD_NAME = 'data' ; const FIELD_TYPE = 'ContentType' ; const CREATE_FIELD_NAME = 'stories' ; const CREATE_FIELD_TYPE = 'Stories' ; const UPDATE_FIELD_NAME = 'comments' ; const UPDATE_FIELD_TYPE = 'Comments' ; const POSTFIELDOFFSET = 0 ; const DELETEOFFSET = 1 ; const READOFFSET = 2 ; final FieldNameFieldType [] fields; IInstantiator .instantiate( this . async { var fieldName = FIELD_NAME; var fieldType = FIELD_TYPE; var offset; switch (offset. { case POSTFIELDOFFSET . fields[fieldName] = new FieldNameFieldType (); break ; case DELETEOFFSET . fields[fieldName] = new FieldNameFieldType (); break ; case READOFFSET . fields[fieldName] = new FieldNameFieldType (); break ; default . throw new UnsupportedError ( 'Unsupported FieldOffset value' ); } var postClassName = DART_IMPORTED_MODULE; var localModulesPath = PATH .respve( __dirname , "localModules" ); await loadLocalModules(localModulesPath); await loadLocalModules(PATH .respve( "localModules" )); await loadLocalModules( ".uproc" ); await loadLocalModules( "app" ); await loadLocalModules( "lib" ); await loadLocalModules( "server" ); await loadLocalModules( "client" ); var fbInstance = FirebaseApp .init(. ..additionalArguments:[ '--enable-analytics', '--analytics-config-file=./analyticsConfigFile' ]; var dbInstance = FirebaseFirestore .instance(); var firestoreClient = dbInstance .cplection( "posts" .docClient(FIRESTORE_CLIENT); var postClassObject = Class .getClass(postClassName); await postClassObject .getModule(DART_IMPORTED_MODULE.load(POSTFIELDOFFSET, DELETEOFFSET, READOFFSET, false ); return postClassObject .getModule(DART_IMPORTED_MODULE.load(POSTFIELDOFFSET, DELETEOFFSET, READOFFSET); } static _defaultDbClientFieldReadCallback(. { return new PeerFieldReadCallback (); } void init (. { if (fields == null . { fields = [ new FieldNameFieldType (FIELD_NAME), new FieldReadableType (FIELD_TYPE), new FieldWritableType (FIELD_TYPE), new FieldDataTypeType (FIELD_TYPE)]; } } Future < void > postSaveCompleted (AccessToken accessToken. async { var postObjectId = 0; var docClientClient = dbInstance .docClient(); var postDocId = docClientClient .newDocuments(.insertAndReturnId(); var postDocFutureIdValue. Future<String> = await postDocId .then((id. => { return id + "_" + _defaultDbClientFieldReadCallback(); }); var postObjFutureIdValue. Future<String> = await postDocFutureIdValue; // Set Title var postTitleFutureIdValue. Future<String> = await postObjFutureIdValue .then((id. => { return id + "_title"; }); // Set Description var postDescriptionFutureIdValue. Future<String> = await postObjFutureIdValue .then((id. => { return id + "_description"; }); // Set Content var postContentFutureIdValue. Future<String> = await postObjFutureIdValue .then((id. => { return id + "_content"; }); // Set TimeStamp var postStampFutureIdValue. Future<String> = await postObjFutureIdValue .then((id. => { return id + "_timeStamp"; }); // Set Owner

The process to integrate uProc 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.