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- #FLASK CHEAT SHEET AND QUICK REFERENCE HOW TO#
- #FLASK CHEAT SHEET AND QUICK REFERENCE INSTALL#
- #FLASK CHEAT SHEET AND QUICK REFERENCE UPDATE#
commit () else : #update data object = dbsession. method = "POST" : #insert data object = TableClass ( **data ) dbsession. get_class_by_tablename ( table_name ) if TableClass = None : raise Exception ( "Table not found: %s" % table_name) if request.
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get_json ( force = True ) print ( "data:", data ) try : TableClass = models. route ( "/", methods = ) def fetch ( table_name ) : print ( "verb: %s, tablename: %s" % (thod, table_name)) if request. Define the following import statements along with your models as they will come very. Apart from that, I’ve also created a dual table just to play around with.Īfter that, create the second file app.py that contains our application code. A user table is a pretty basic one in almost every app as it is used for authentication. I’m using sqlite database for example here, but you can use any one of your choice. Import sqlalchemy from sqlalchemy import create_engine from sqlalchemy import Column, String, Integer from sqlalchemy.orm import sessionmaker from import declarative_base #TODO: Change as needed: engine = create_engine ( "sqlite:///tiddly.db", echo = True ) Base = declarative_base () Session = sessionmaker ( bind = engine ) dbsession = Session () class User ( Base ): _tablename_ = "user" id = Column ( Integer, primary_key = True ) email = Column ( String ) password = Column ( String ) name = Column ( String ) def repr ( self ): return "" % ( name, email ) class Dual ( Base ): _tablename_ = "dual" id = Column ( Integer, primary_key = True ) text = Column ( String ) def repr ( self ): return "" % ( id, text )
#FLASK CHEAT SHEET AND QUICK REFERENCE INSTALL#
But make sure you install the following dependencies before running it: You can refer to that github repository for reference as we proceed through this tutorial, or directly start using it. In fact, I’ve developed a prototype version called Tiddly that essentially does the same thing as above using just 172 lines of Python code. With a minimal and powerful web framework such as flask, combined with the power of sqlalchemy, you can get up and running within minutes. Its also much cheaper to host your own solution on Amazon EC2 (or Lambda) compared to other costlier alternatives.Ĭontrary to popular thinking, its not very difficult to create a database agnostic backend such as the one represented in the above diagram.
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Rather than using firebase, if you develop your own implementation of your back-end, not only will it help you learn and become a better programmer, but also give you a flexible solution that you can scale and change as per your needs.
#FLASK CHEAT SHEET AND QUICK REFERENCE HOW TO#
But in this tutorial, we will learn how to create such a backend ourselves using Python’s flask framework and sqlalchemy, a light-weight but powerful ORM library that can access ANY database using its flexible sql expression language. Popular third-party apps like Firebase essentially provide you this same thing - A REST based front to a database that could be accessed online using simple HTTP methods.
#FLASK CHEAT SHEET AND QUICK REFERENCE UPDATE#
When your application’s userbase gets quite large and the client could vary from a laptop to an android device to an iOS device, it pays to keep the backend code separate and use the server only for making RESTful calls using HTTP methods that pertain to basic OLTP transactions: SELECT, INSERT, UPDATE and DELETE.