Skip to main content

Flask wrapper for the SQL Records

Project description

Flask Records

PyPI - Python Version Build Status

Flask-Records is an extension that manuiplate the DB with the raw sql for the flask application using records.

Installation

pip install flask-records

Usage

Setup

Add the flask-records to your flask application.

from flask import Flask
from flask_records import FlaskRecords

raw_db = FlaskRecords(app)

or initialize the app in the way below:

from flask import Flask
from flask_records import FlaskRecords

raw_db = FlaskRecords()
raw_db.init_app(app)

Access DB With Flask Records

We have provided two decorators for easy using in the development:

query

The basic query decorator you can use in the flask records.

from flask_records.decorators import query

@query("INSERT INTO users VALUES(:id, :name, :age)")
def hello_flask_records(id, name, age):
    pass

# call the function: hello_flask_records(1, 'Leo', 27)

also, you can wrap all the parameters in a dictionary and pass it to the function.

from flask_records.decorators import query

@query( "INSERT INTO users VALUES(:id, :name, :age)")
def hello_flask_records(parameters):
    pass

# define a dict which contains the query parameters
# parameters = {
#     'id': 1,
#     'name': 'Leo', 
#     'age': 27
# }
# call the function: hello_flask_records(parameters)
query_by_page

This is the decorator which for the pagination.

from flask_records.decorators import query_by_page

@query_by_page("SELECT * FROM users", 2)
def hello_flask_records(page):
    pass

Extra Features

Flask-Records also provide the basic crud function, all you need to do is inherit the RecordsDao when you write the DAO layer classes.

from flask_records import RecordsDao

class UserDao(RecordsDao):

    def __init__(self):
        super(UserDao, self).__init__()

For detailed instructions on the features, please refer to the flask records documentation.

ChangeLog

Release 0.0.15

  • add a param converters in as_dict function, which means u can do the convertion according to your requirements. the format for this param is {'key': func}
  • add bulk_query decorator, so you can insert multiple rows to the db
  • add as_df function to the RecordCollection

Release 0.0.14

  • Fix the initialize issue in the way like FlaskRecords()
  • Modified the error in the Doc

Release 0.0.9

  • Support the default params in the function when do the query
  • Compatible with the Python2.7+ and 3.5+

Release 0.0.8

  • Support the decorators on the function or method in the class
  • Simplify the usage of the decorators
  • Provide the base crud operations
  • Add unit tests for the decorators, basic dao etc

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for flask-records, version 0.0.15
Filename, size File type Python version Upload date Hashes
Filename, size flask_records-0.0.15.tar.gz (6.2 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page