MySQL is currently the most popular database management system software used for managing the relational database.
MonkeyLearn is a text analysis platform that helps you identify and extract actionable data from a variety of raw texts, including emails, chats, webpages, papers, tweets, and more! You can use custom tags to categorize texts, such as sentiments or topics, and extract specific data, such as organizations or keywords.
Monkey Learn IntegrationsMySQL + Monkey Learn
Classify Text in monkeylearn when New Row is created in MySQL Read More...MySQL + Monkey Learn
Extract Text in monkeylearn when New Row is created in MySQL Read More...MySQL + Monkey Learn
Upload training Data in monkeylearn when New Row is created in MySQL Read More...MySQL + Monkey Learn
Classify Text in monkeylearn when New Table is created in MySQL Read More...MySQL + Monkey Learn
Extract Text in monkeylearn when New Table is created in MySQL Read More...It's easy to connect MySQL + Monkey Learn without coding knowledge. Start creating your own business flow.
Triggered when you add a new row.
Triggered when new rows are returned from a custom query that you provide. Advanced Users Only
Triggered when you add a new table.
Adds a new row.
Delete a row.
Updates an existing row.
Classifies texts with a given classifier.
Extracts information from texts with a given extractor.
Uploads data to a classifier.
(30 seconds)
(10 seconds)
(30 seconds)
(10 seconds)
(2 minutes)
MySQL (often called “Mysql”. is a free and open source relational database management system (RDBMS. It is one of the most popular database management systems in the world. It is developed, marketed, and supported by Oracle Corporation. In this tutorial, we are going to learn how to integrate MySQL with Monkey Learn.
In this section, we will discuss how to integrate MySQL and Monkey Learn. Firstly, we need to develop an API application from Monkey Learn side that can handle the requests made by the MySQL database. We need to build a REST API app in Django using Python 3.5 and then deploy it on Heroku. Below is the code for the same:
# -- coding. utf-8 -- from django.http import HttpResponse import json from django.core import serializers from django.urls import path from .models import * #Create your views here class hello_world(serializers.ModelSerializer). class Meta. model = HelloWorld fields = ('text', 'result_type'. def get_success_message(self). return "Your text is %s" % self.data['result_type'] @view('hello_world'. def hello_world(request). "" Receive a POST request and send a response back "" data = {'text'. request.POST['text']} if request.method == 'POST'. serializer = HelloWorld(. serializer.is_valid(raise_exception=True. serializer.save(. return HttpResponse(serializer.data. else. return HttpResponse('Hello World!!'. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 # -- coding . utf - 8 -- from django . http import HttpResponse import json from django . core import serializers from django . urls import path from . models import * #Create your views here class hello_world ( serializers . ModelSerializer . . class Meta . model = HelloWorld fields = ( 'text' , 'result_type' . def get_success_message ( self . . return "Your text is %s" % self . data [ 'result_type' ] @ view ( 'hello_world' . def hello_world ( request . . " " Receive a POST request and send a response back " " data = { 'text' . request . POST [ 'text' ] } if request . method == 'POST' . serializer = HelloWorld ( . serializer . is_valid ( raise_exception = True . serializer . save ( . return HttpResponse ( serializer . data . else . return HttpResponse ( 'Hello World!!' )
Here, we have an endpoint that handles the GET requests and responds with a JSON structure containing the text sent by the user and the result type of the classification that was performed on the text sent by the user. The result_type attribute is used to represent the classifier type in the JSON structure that will be returned by our API app. The user can select any of the classes available in our app and send his/her text to classify it. The above snippet shows how to create an endpoint for GET requests to handle GET requests sent by users to retrieve their results after performing a classification on texts they submit via our app. Below is the code for creating an endpoint for POST requests:
@view('hello_world'. def hello_world(request). "" Receive a POST request and send a response back "" data = {'text'. request.POST['text']} if request.method == 'POST'. serializer = HelloWorld(. serializer.is_valid(raise_exception=True. serializer.save(. return HttpResponse(serializer.data. else. return HttpResponse('Hello World!!'. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 @ view ( 'hello_world' . def hello_world ( request . . " " Receive a POST request and send a response back " " data = { 'text' . request . POST [ 'text' ] } if request . method == 'POST' . serializer = HelloWorld ( . serializer . is_valid ( raise_exception = True . serializer . save ( . return HttpResponse ( serializer . data . else . return HttpResponse ( 'Hello World!!' )
In the above snippet, we have an endpoint that handles POST requests sent by users to perform a classification on their text. We validate their input text using is_valid(), which returns True if the input text contains only alphabets or False otherwise. If the input text is valid, we use save(. to persist it to our database. Next, we will build an endpoint that allows users to retrieve their results using HTTP methods POST and GET:
class HelloWorldView(generics.GenericAPIView). "" Returns hello world message "" queryset = HelloWorld.objects.all(. serializer_class = HelloWorldSerializer def get(self, request, *args, **kwargs). "" Get a list of all hello worlds "" return self.render(request, 'hello_world_listing.html', {'hello_worlds'. self.queryset}. @property def hello_worlds(self). "" Returns hello worlds in the form of a list "" return self.queryset 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 class HelloWorldView ( generics . GenericAPIView . . " " Returns hello world message " " queryset = HelloWorld . objects . all ( . serializer_class = HelloWorldSerializer def get ( self , request , * args , * * kwargs . . " " Get a list of all hello worlds " " return self . render ( request , 'hello_world_listing.html' , { 'hello_worlds' . self . queryset } . @ property def hello _ worlds ( self . . " " Returns hello worlds in the form of a list " " return self . queryset
The snippet above shows how we can create our views for our API app by defining two endpoints — one for getting all the available results and another for getting the details of one result based on its unique identifier retrieved by the ID attribute of its object in our DBMS — represented by the unique identifier assigned to each of its objects in our DBMS table. Here, we have created an endpoint called get(. that returns an html page showing all the records saved in our DBMS table, along with details such as their unique identifier and result type — which is used as the label of their corresponding HTML table row in our API app’s HTML page — besides other details such as title and description of these records saved in our DBMS table along with their unique identifiers — which are used as labels for their corresponding thumbnail image in our API app’s HTML page:
<html> <head> <title>Hello World</title> <link rel="stylesheet" rel="nofollow" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css"> </head> <body> <div class="container"> <h1>Howdy</h1> <table class="table table-bordered"> <thead> <tr> <th>ID</th> <th>Text</th> <th>Result Type</th> <th>Thumbnail</th> </tr> </thead> <tbody> {% for hello_world in hello_worlds %} <tr> <td><a rel="nofollow" href="{{ hello_world.id }}">{{ hello_world.id }}</a></td> <td><a rel="nofollow" href="{{ hello_world.name }}">{{ hello_world.text }}</a></td> <td><a rel="nofollow" href="#img_{{ hello_world.id }}">{{ hello_world.thumbnail }}</a></td> </tr> {% endfor %} </tbody> </table> </div> </body> </html> 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
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