Unit 2.4a Using Programs with Data, SQLAlchemy
Blog about Big Idea 2.4a and Hacks
Database and SQLAlchemy
In this blog we will explore using programs with data, focused on Databases. We will use SQLite Database to learn more about using Programs with Data. Use Debugging through these examples to examine Objects created in Code.
-
College Board talks about ideas like
- Program Usage. "iterative and interactive way when processing information"
- Managing Data. "classifying data are part of the process in using programs", "data files in a Table"
- Insight "insight and knowledge can be obtained from ... digitally represented information"
- Filter systems. 'tools for finding information and recognizing patterns"
- Application. "the preserve has two databases", "an employee wants to count the number of book"
-
PBL, Databases, Iterative/OOP
- Iterative. Refers to a sequence of instructions or code being repeated until a specific end result is achieved
- OOP. A computer programming model that organizes software design around data, or objects, rather than functions and logic
- SQL. Structured Query Language, abbreviated as SQL, is a language used in programming, managing, and structuring data
"""
These imports define the key objects
"""
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
"""
These object and definitions are used throughout the Jupyter Notebook.
"""
# Setup of key Flask object (app)
app = Flask(__name__)
# Setup SQLAlchemy object and properties for the database (db)
database = 'sqlite:///sqlite.db' # path and filename of database
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
app.config['SQLALCHEMY_DATABASE_URI'] = database
app.config['SECRET_KEY'] = 'SECRET_KEY'
db = SQLAlchemy()
# This belongs in place where it runs once per project
db.init_app(app)
Model Definition
Define columns, initialization, and CRUD methods for users table in sqlite.db
- Comment on these items in the class, purpose and defintion.
- class User
- The class that manages the actions in the 'users' table
- db.Model inheritance
- It is a parameter of class User
- Object oriented programming
-
init method
- Is the constructor for the class User
- Initializes the instance variables within object
-
@property
,@<column>.setter
-
@property
is a getter method that extracts from the object -
@<column>.setter
allows the variable that was created to be updated
-
- create, read, update, delete methods
- Allows the database and specific data inside to be created, read, updated, and deleted
- class User
""" database dependencies to support sqlite examples """
import datetime
from datetime import datetime
import json
from sqlalchemy.exc import IntegrityError
''' Tutorial: https://www.sqlalchemy.org/library.html#tutorials, try to get into a Python shell and follow along '''
# Define the User class to manage actions in the 'users' table
# -- Object Relational Mapping (ORM) is the key concept of SQLAlchemy
# -- a.) db.Model is like an inner layer of the onion in ORM
# -- b.) User represents data we want to store, something that is built on db.Model
# -- c.) SQLAlchemy ORM is layer on top of SQLAlchemy Core, then SQLAlchemy engine, SQL
class Car(db.Model):
__tablename__ = 'cars' # table name is plural, class name is singular
# Define the User schema with "vars" from object
id = db.Column(db.Integer, primary_key=True)
_name = db.Column(db.String(255), unique=False, nullable=False)
_uid = db.Column(db.String(255), unique=True, nullable=False)
_mascot = db.Column(db.String(255), unique=False, nullable=False)
_car = db.Column(db.String(255), unique=False, nullable=False)
_mile = db.Column(db.Integer, primary_key=False)
# constructor of a User object, initializes the instance variables within object (self)
def __init__(self, name, uid, mascot, car, mile):
self._name = name # variables with self prefix become part of the object,
self._uid = uid
self._mascot = mascot
self._car = car
self._mile = mile
# a name getter method, extracts name from object
@property
def name(self):
return self._name
# a setter function, allows name to be updated after initial object creation
@name.setter
def name(self, name):
self._name = name
# a getter method, extracts uid from object
@property
def uid(self):
return self._uid
# a setter function, allows uid to be updated after initial object creation
@uid.setter
def uid(self, uid):
self._uid = uid
# check if uid parameter matches user id in object, return boolean
def is_uid(self, uid):
return self._uid == uid
# a getter method, extracts mascot from object
@property
def mascot(self):
return self._mascot
# a setter function, allows mascot to be updated after initial object creation
@mascot.setter
def mascot(self, mascot):
self._mascot = mascot
# a getter method, extracts car from object
@property
def car(self):
return self._car
# a setter function, allows car to be updated after initial object creation
@car.setter
def car(self, car):
self._car = car
# a getter method, extracts mile from object
@property
def mile(self):
return self._mile
# a setter function, allows car to be updated after initial object creation
@mile.setter
def mile(self, mile):
self._mile = mile
# output content using str(object) is in human readable form
# output content using json dumps, this is ready for API response
def __str__(self):
return json.dumps(self.read())
# CRUD create/add a new record to the table
# returns self or None on error
def create(self):
try:
# creates a person object from User(db.Model) class, passes initializers
db.session.add(self) # add prepares to persist person object to Users table
db.session.commit() # SqlAlchemy "unit of work pattern" requires a manual commit
return self
except IntegrityError:
db.session.remove()
return None
# CRUD read converts self to dictionary
# returns dictionary
def read(self):
return {
"id": self.id,
"name": self.name,
"uid": self.uid,
"mascot": self.mascot,
"mile": self.mile,
"car": self.car,
}
# CRUD update: updates user name, car, phone
# returns self
def update(self, name="", uid="", mascot="", car=""):
"""only updates values with length"""
if len(name) > 0:
self.name = name
if len(uid) > 0:
self.uid = uid
if len(mascot) > 0:
self.mascot = mascot
if len(car) > 0:
self._car = car
db.session.commit()
return self
# CRUD delete: remove self
# None
def delete(self):
db.session.delete(self)
db.session.commit()
return None
"""Database Creation and Testing """
# Builds working data for testing
def initCars():
with app.app_context():
"""Create database and tables"""
db.create_all()
"""Tester data for table"""
u1 = Car(name='Cameron Yarbough', uid="cam", mascot='nighthawks', mile=4.21, car='Tesla Model Y')
u2 = Car(name='Luke Jin', uid="luke", mascot='nighthawks', mile=4.39, car='Lamborghini')
u3 = Car(name='Adrian Welton', uid="adrian", mascot='wolverines', mile=4.33, car='Ferrari')
u4 = Car(name='Tom Bell', uid="tommy", mascot='sundevils', mile=4.19, car='NIO ec6')
u5 = Car(name='Stanley Yan', uid="stanley", mascot='nighthawks', mile=4.38, car='Mercedes Benz')
u6 = Car(name='Nathan Cristmore', uid="nathan", mascot='falcons', mile=4.22, car='Aston Martin')
cars = [u1, u2, u3, u4, u5, u6]
"""Builds sample Track/note(s) data"""
for car in cars:
try:
'''add Track to table'''
object = car.create()
print(f"Created new uid {object.uid}")
except: # error raised if object nit created
'''fails with bad or duplicate data'''
print(f"Records exist uid {car.uid}, or error.")
initCars()
Check for given Credentials in users table in sqlite.db
Use of ORM Query object and custom methods to identify user to credentials uid and password
- Comment on purpose of following
- User.query.filter_by
- This receives a uid and looks to see if that uid exists in the database.
- user.password
- If the uid is found, the passwords are checks and verified to make sure the password exists and is correct.
- User.query.filter_by
def find_by_uid(uid):
with app.app_context():
user = Car.query.filter_by(_uid=uid).first()
return user # returns user object
# Check credentials by finding user and verify password
def check_credentials(uid):
# query email and return user record
user = find_by_uid(uid)
if user == None:
return False
return True
check_credentials("cam")
Create a new User in table in Sqlite.db
Uses SQLALchemy and custom user.create() method to add row.
- Comment on purpose of following
- user.find_by_uid() and try/except
- A uid is inputted and it is checked whether the uid exists or not
- If the user is found, then nothing is created
- If there is no user with that uid, a new user is created
- user = User(...)
- This only runs if the user is not found
- A new user is created using the class User with a name, uid, and password
- user.dob and try/except
- This only runs if the user is not found
- If the dob that is inputted is the same as the date today, then an error appears
- user.create() and try/except
- This only runs if the user is not found
- If the object is not created, an error is raised; otherwise, the user is created
- user.find_by_uid() and try/except
def create():
# optimize user time to see if uid exists
uid = input("Enter your user id:")
user = find_by_uid(uid)
try:
print("Found\n", user.read())
return
except:
pass # keep going
# request value that ensure creating valid object
name = input("Enter your name:")
mascot = input("Enter your school mascot:")
car = input("Enter your car:")
mile = input("Enter your mile time:")
# Initialize User object before date
user = Car(name=name,
uid=uid,
mascot=mascot,
car=car,
mile=mile
)
# create user.dob, fail with today as dob
# write object to database
with app.app_context():
try:
object = user.create()
print("Created\n", object.read())
except: # error raised if object not created
print("Unknown error uid {uid}")
create()
Reading users table in sqlite.db
Uses SQLALchemy query.all method to read data
- Comment on purpose of following
- User.query.all
- This gets all the users from the database
- json_ready assignment, google List Comprehension
- This reads all the users from the table and places them in a list using list comprehension
- Each are turned into JSON data
- User.query.all
# SQLAlchemy extracts all users from database, turns each user into JSON
def read():
with app.app_context():
table = Car.query.all()
json_ready = [user.read() for user in table] # "List Comprehensions", for each user add user.read() to list
return json_ready
read()
def update():
# optimize user time to see if uid exists
uid = input("Enter your user id:")
user = find_by_uid(uid)
if user != None:
pass
else:
print(f"No user id {uid} found")
return
name = input("Enter your name:")
mascot = input("Enter your school mascot:")
car = input("Enter your car:")
# Initialize User object before date
user = Car(name=name,
uid=uid,
mascot=mascot,
car=car,
)
# write object to database
with app.app_context():
try:
object = user.update()
print("Updated\n", object.read())
except: # error raised if object not created
print("Unknown error uid {uid}")
update()
import sqlite3
database = 'instance/sqlite.db' # this is location of database
def delete():
id = input("Enter id to delete")
# Connect to the database file
conn = sqlite3.connect(database)
# Create a cursor object to execute SQL commands
cursor = conn.cursor()
try:
cursor.execute("DELETE FROM cars WHERE id = ?", (id))
if cursor.rowcount == 0:
# The id was not found in the table
print(f"No id {id} was not found in the table")
else:
# The id was found in the table and the row was deleted
print(f"The row with id {id} was successfully deleted")
conn.commit()
except sqlite3.Error as error:
print("Error while executing the DELETE:", error)
finally:
conn.commit()
conn.close()
delete()