Return render_template("list.html",rows = rows) This object is passed to the list.html list(): It populates ‘rows’ as a MultiDict object containing all records in the students table. The application contains another list() function represented by ‘/list’ URL. The HTML script of result.html contains an escaping statement that displays the result of Insert operation. Return render_template("result.html",msg = msg) Message corresponding to success or error in insert operation is rendered to = )Ĭur.execute("INSERT INTO students (name,addr,city,pin) This addrec() function retrieves the form’s data by POST method and inserts in students table. The HTML script for ‘student.html’ is as follows −Īs it can be seen, form data is posted to the ‘/addrec’ URL which binds the addrec() function. It renders an HTML file containing student information new_student():
Our Flask application has three View functions.įirst new_student() function is bound to the URL rule (‘/addnew’). In this section we shall see how a Flask application interacts with SQLite.Ĭreate an SQLite database ‘database.db’ and create a students’ table in it.Ĭonn.execute('CREATE TABLE students (name TEXT, addr TEXT, city TEXT, pin TEXT)') For a detailed tutorial on using SQLite database in Python, please refer to this link. SQlite3 module is shipped with Python distribution.
#Flask sqlite code
Have to put the following code into your application module.Python has an in-built support for SQlite. To use SQLAlchemy in a declarative way with your application, you just G object): that’s because SQLAlchemy does that for us Threads here (like we did in the SQLite3 example above with the If you are wondering why we don’t have to care about To define your models, just subclass the Base class that was created by Otherwise # you will have to import them first before calling init_db() import yourapplication.models Base. query_property () def init_db (): # import all modules here that might define models so that # they will be registered properly on the metadata. Here’s the example database.py module for your application:įrom sqlalchemy import create_engine from sqlalchemy.orm import scoped_session, sessionmaker from import declarative_base engine = create_engine ( 'sqlite:////tmp/test.db' ) db_session = scoped_session ( sessionmaker ( autocommit = False, autoflush = False, bind = engine )) Base = declarative_base () Base. Official documentation on the declarative extension. In addition to the following text I recommend the It allows you to define tables and models in one go, similar The declarative extension in SQLAlchemy is the most recent method of using
#Flask sqlite download
You can download Flask-SQLAlchemy from PyPI. There is a Flask extension that handles that for you. Relational mapper that requires a little bit of configuration effort, Of them here: Flask-SQLAlchemy Extension ¶īecause SQLAlchemy is a common database abstraction layer and object
There are four very common ways to use SQLAlchemy. Is not necessary, it makes a lot of sense. In this case it’sĮncouraged to use a package instead of a module for your flask applicationĪnd drop the models into a separate module ( Large Applications as Packages). Many people prefer SQLAlchemy for database access.