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uProc + Cloud Firestore Integrations

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

  • No code
  • No Credit Card
  • Lightning Fast Setup
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

Looking for the Cloud Firestore Alternatives? Here is the list of top Cloud Firestore Alternatives

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

Best ways to Integrate uProc + Cloud Firestore

  • uProc uProc

    Cloud Firestore + uProc

    Select Tool in uProc when New Document Within a Firestore Collection is created in Cloud Firestore Read More...
    Close
    When this happens...
    uProc New Document Within a Firestore Collection
     
    Then do this...
    uProc Select Tool
  • uProc Pipedrive

    uProc + Pipedrive

    Add persons in Pipedrive from new uProc people list entries Read More...
    Close
    When this happens...
    uProc New Profile Added to List
     
    Then do this...
    Pipedrive Create Person
    Don't waste time entering data manually. Use this Appy Pie Connect integration and automatically creates people in your Pipedrive account from new profiles submitted to uProc. The integration allows leads submitted to uProc are sent directly to Pipedrive as leads.
    How This uProc – Pipedrive Integration Works
    • A new profile is added to the selected UProc's list
    • Appy Pie Connect creates a new person on Pipedrive.
    What You Need
    • uProc account
    • Pipedrive account
  • uProc uProc

    Gmail + uProc

    Select Tool in uProc when New Attachment is created in Gmail Read More...
    Close
    When this happens...
    uProc New Attachment
     
    Then do this...
    uProc Select Tool
  • uProc uProc

    Gmail + uProc

    Select Tool in uProc when New Labeled Email is created in Gmail Read More...
    Close
    When this happens...
    uProc New Labeled Email
     
    Then do this...
    uProc Select Tool
  • uProc uProc

    Gmail + uProc

    Select Tool in uProc when New Email Matching Search is created in Gmail Read More...
    Close
    When this happens...
    uProc New Email Matching Search
     
    Then do this...
    uProc Select Tool
  • uProc {{item.actionAppName}}

    uProc + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} {{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 authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick Cloud Firestore as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from uProc to Cloud Firestore.

    (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.