The FlaskDB class is a wrapper for configuring and referencing a Peewee database from within a Flask application. Don’t let it’s name fool you: it is not the same thing as a peewee database. FlaskDB is designed to remove the following boilerplate from your flask app:

• Dynamically create a Peewee database instance based on app config data.
• Create a base class from which all your application’s models will descend.
• Register hooks at the start and end of a request to handle opening and closing a database connection.

Basic usage:

The above code example will create and instantiate a peewee specified by the given database URL. Request hooks will be configured to establish a connection when a request is received, and automatically close the connection when the response is sent. Lastly, the FlaskDB class exposes a FlaskDB.Model property which can be used as a base for your application’s models.

Here is how you can access the wrapped Peewee database instance that is configured for you by the FlaskDB wrapper:

# Obtain a reference to the Peewee database instance.
peewee_db = db_wrapper.database
@app.route('/transfer-funds/', methods=['POST'])
def transfer_funds():
    with peewee_db.atomic():
        # ...
    return jsonify({'transfer-id': xid})

Note

The actual peewee database can be accessed using the FlaskDB.database attribute.

Here is another way to configure a Peewee database using FlaskDB:

While the above examples show using a database URL, for more advanced usages you can specify a dictionary of configuration options, or simply pass in a peewee Database instance:

DATABASE = {
    'name': 'my_app_db',
    'engine': 'playhouse.pool.PooledPostgresqlDatabase',
    'user': 'postgres',
    'max_connections': 32,
    'stale_timeout': 600,
}
app.config.from_object(__name__)
wrapper = FlaskDB(app)
pooled_postgres_db = wrapper.database

Using a peewee object:

Using as a factory:

db_wrapper = FlaskDB()
# Even though the database is not yet initialized, you can still use the
# `Model` property to create model classes.
class User(db_wrapper.Model):
    username = CharField(unique=True)
def create_app():
    app = Flask(__name__)
    app.config['DATABASE'] = 'sqlite:////home/code/apps/my-database.db'
    db_wrapper.init_app(app)
    return app

The flask_utils module provides several helpers for managing queries in your web app. Some common patterns include:

get_object_or_404(query_or_model, \query*)

Retrieve the object matching the given query, or return a 404 not found response. A common use-case might be a detail page for a weblog. You want to either retrieve the post matching the given URL, or return a 404.

Example:

object_list(template_name, query[, context_variable=’object_list’[, paginate_by=20[, page_var=’page’[, check_bounds=True[, \*kwargs*]]]]])

Retrieve a paginated list of objects specified by the given query. The paginated object list will be dropped into the context using the given context_variable, as well as metadata about the current page and total number of pages, and finally any arbitrary context data passed as keyword-arguments.

The page is specified using the page GET argument, e.g. /my-object-list/?page=3 would return the third page of objects.

Example:

@app.route('/blog/')
def post_index():
    public_posts = (Post
                    .where(Post.published == True)
                    .order_by(Post.timestamp.desc()))
    return object_list(
        'post_index.html',
        query=public_posts,
        context_variable='post_list',
        paginate_by=10)

• post_list, which contains a list of up to 10 posts.
• page, which contains the current page based on the value of the page GET parameter.
• pagination, a PaginatedQuery instance.

class PaginatedQuery(query_or_model, paginate_by[, page_var=’page’[, check_bounds=False]])

Helper class to perform pagination based on GET arguments.

• get_page()

  Return the currently selected page, as indicated by the value of the page_var GET parameter. If no page is explicitly selected, then this method will return 1, indicating the first page.

• get_page_count()

  Return the total number of possible pages.