{"id":22184,"date":"2018-07-20T12:15:22","date_gmt":"2018-07-20T09:15:22","guid":{"rendered":"https:\/\/www.webcodegeeks.com\/?p=22184"},"modified":"2018-07-23T12:21:32","modified_gmt":"2018-07-23T09:21:32","slug":"part-2-building-a-flask-restful-api","status":"publish","type":"post","link":"https:\/\/www.webcodegeeks.com\/python\/part-2-building-a-flask-restful-api\/","title":{"rendered":"Part 2: Building a Flask RESTful API"},"content":{"rendered":"

This is the second of three posts about building a JSON API with Flask. Part 1<\/a> arrived yesterday and part 3<\/a> is arriving tomorrow.<\/em><\/p>\n

In the previous post<\/a> we learned how to serialize SQLAlchemy models to\/from JSON. Now let\u2019s use that to build a RESTful JSON API with Flask<\/a>.<\/p>\n

What is a RESTful API<\/h2>\n

A RESTfu API is a website that conforms to the REST<\/a> conventions by allowing CRUD<\/a> operations on resources. Resources are the noun you are fetching or updating, for ex: Users or Goals. Unlike GraphQL<\/a>, where every resource shares the same url endpoint, RESTful APIs use a different url for each resource. That means Users would be at yoursite.com\/api\/users<\/code> and Goals at yoursite.com\/api\/goals<\/code>. When you visit yoursite.com\/api\/users<\/code> in your browser, it should return JSON with a list of users.<\/p>\n

A RESTful API with Flask<\/h2>\n

Here\u2019s a simple Flask API that always returns an empty list of Users:<\/em><\/span><\/p>\n

from flask import Flask\r\napp = Flask(__name__)\r\n\r\n@app.route(\"\/api\/users\")\r\ndef users():\r\n    return \"[]\"\r\n\r\nif __name__ == \"__main__\":\r\n    app.run()\r\n<\/pre>\n
Let\u2019s improve that to return a list of users from our database using SQLAlchemy.<\/em><\/span><\/p>\n
from flask import Flask, json\r\nfrom flask_sqlalchemy import SQLAlchemy\r\n\r\napp = Flask(__name__)\r\ndb = SQLAlchemy(app)\r\n\r\nclass User(BaseModel):\r\n    id = db.Column(UUID(), primary_key=True, default=uuid.uuid4)\r\n    username = db.Column(db.String(), nullabe=False, unique=True)\r\n    password = db.Column(db.String())\r\n    _default_fields = [\"username\"]\r\n    _hidden_fields = [\"password\"]\r\n\r\n@app.route(\"\/api\/users\")\r\ndef users():\r\n    return json.dumps([user.to_dict() for user in User.query.all()])\r\n\r\nif __name__ == \"__main__\":\r\n    app.run()\r\n<\/pre>\n
The BaseModel<\/code> class is the one we created in Part 1: SQLAlchemy Models as JSON<\/a>.<\/p>\n
Visiting yoursite.com\/api\/users<\/code> in your browser you should see:<\/p>\n
[{\"id\": \"488345de-88a1-4c87-9304-46a1a31c9414\", \"username\": \"zzzeek\"}]\r\n<\/pre>\n
Following this pattern, we create GET<\/code> resources for all our SQLAlchemy models.<\/p>\n
Updating Models with PUT method<\/h2>\n
Most APIs support more than just GET<\/code> requests. To update Users let\u2019s add a PUT<\/code> method that accepts JSON and updates a User\u2019s attributes. This example depends on WTForms<\/a> and WTForms-JSON<\/a> libraries for input validation.<\/p>\n
@app.route(\"\/api\/users\/<string:user_id>\", methods=['PUT'])\r\ndef users_update(user_id):\r\n    user = User.query.get(user_id)\r\n    form = UserForm.from_json(request.get_json())\r\n    if not form.validate():\r\n        return jsonify(errors=form.errors), 400\r\n    user.from_dict(**form.data)\r\n    db.session.commit()\r\n    return jsonify(user=user.to_dict())\r\n<\/pre>\n
Sending {\"username\": \"zoe\"}<\/code> to yoursite.com\/api\/users\/488345de-88a1-4c87-9304-46a1a31c9414<\/code> updates User with a new username. We validate user input with WTForms<\/a> and control which database columns are readable and writable with our BaseModel SQLAlchemy class<\/a>.<\/p>\n
Conclusion<\/h3>\n
Now that we\u2019re building APIs with Flask, it\u2019s time to add extra features with some useful decorators and more BaseModel<\/code> helper methods. Continue reading Part 3: Flask API Decorators and Helpers<\/a>.<\/p>\n
\n\n\n\n
Published on Web Code Geeks with permission by Alan Hamlett, partner at our WCG program<\/a>. See the original article here: Part 2: Building a Flask RESTful API<\/a><\/p>\n
Opinions expressed by Web Code Geeks contributors are their own.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n","protected":false},"excerpt":{"rendered":"
This is the second of three posts about building a JSON API with Flask. Part 1 arrived yesterday and part 3 is arriving tomorrow. In the previous post we learned how to serialize SQLAlchemy models to\/from JSON. Now let\u2019s use that to build a RESTful JSON API with Flask. What is a RESTful API A …<\/p>\n","protected":false},"author":7205,"featured_media":1651,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[53],"tags":[465,40,322],"class_list":["post-22184","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","tag-flask","tag-json","tag-rest"],"yoast_head":"\nPart 2: Building a Flask RESTful API - Web Code Geeks - 2026<\/title>\n<meta name=\"description\" content=\"Interested to learn about flask restful api? 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