Unit 2.4a Using Programs with Data, SQLAlchemy (Notebook)
Using Programs with Data is focused on SQL and database actions. Part A focuses on SQLAlchemy and an OOP programming style,
- Database and SQLAlchemy
- Notes
- Imports and Flask Objects
- APP and DB are objects we have been using all year
- Model Definition
- Initial Data
- 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
- Create a new User in table in Sqlite.db
- Reading users table in sqlite.db
- 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
Imports and Flask Objects
Defines and key object creations
- Comment on where you have observed these working? Provide a defintion of purpose.
- Flask app object
- This Flask app object app object containss the routs and blueprints that reside to the HTTP server in the Flask
- SQLAlchemy db object
- THe method where the SQLite database interaccts with an ergonomic ORM (Object Relational Mapping (ORM) is a technique used in creating a "bridge" between object-oriented programs and, in most cases, relational database) in the SQAlchemy db object.
- Flask app object
"""
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
- Class user is defining the template for user. It is a class definition template. WE use this template to create objects like user.
- We need a user template because we have different users, but we shouldn't start from scratch for each one.
- db.Model inheritance
- Defining a class is called inheritance. For class user we are inheriting the ability for out class to use databast properties, methods, and attributes. The code is defined somewhere else but we are going to inherit all the properties.
- Since we inherited these methods, we are able to use them to add to our template.
-
init method
- Usually called "constructor" and means that the init method is used to help us instantiate an object from our class user template.
- With the init method we look at U1 and we bas username, ID, etc. The init method will set the properties as attributes are parameters that instantuate a U1 object.
-
@property
,@<column>.setter
- We want to see what is inside as well as change the attribute once we created them (setters and getters).
- setters let us change the attriubtes, getters allow us to retrive data out of the object.
- We want to see what is inside as well as change the attribute once we created them (setters and getters).
-
create, read, update, delete methods
- typicly when you create a class you use these methods in order to make it easier to interact with the properties of the database.
-
This next code is a definition template, so we wont get a response out of it
- it is a point of reference as of now, becuase we have not referenced or instantuatied it yet.
- class User
""" database dependencies to support sqlite examples """
import datetime
from datetime import datetime
import json
from sqlalchemy.exc import IntegrityError
from werkzeug.security import generate_password_hash, check_password_hash
''' 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 User(db.Model):
# Class user is defining the template for user. It is a class definition template. WE use this template to create objects like user.
__tablename__ = 'users' # 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)
_password = db.Column(db.String(255), unique=False, nullable=False)
_dob = db.Column(db.Date)
# constructor of a User object, initializes the instance variables within object (self)
def __init__(self, name, uid, password="123qwerty", dob=datetime.today()):
self._name = name # variables with self prefix become part of the object,
self._uid = uid
self.set_password(password)
if isinstance(dob, str): # not a date type
dob = date=datetime.today()
self._dob = dob
# 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
@property
def password(self):
return self._password[0:10] + "..." # because of security only show 1st characters
# update password, this is conventional method used for setter
def set_password(self, password):
"""Create a hashed password."""
self._password = generate_password_hash(password, method='sha256')
# check password parameter against stored/encrypted password
def is_password(self, password):
"""Check against hashed password."""
result = check_password_hash(self._password, password)
return result
# dob property is returned as string, a string represents date outside object
@property
def dob(self):
dob_string = self._dob.strftime('%m-%d-%Y')
return dob_string
# dob setter, verifies date type before it is set or default to today
@dob.setter
def dob(self, dob):
if isinstance(dob, str): # not a date type
dob = date=datetime.today()
self._dob = dob
# age is calculated field, age is returned according to date of birth
@property
def age(self):
today = datetime.today()
return today.year - self._dob.year - ((today.month, today.day) < (self._dob.month, self._dob.day))
# 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,
"dob": self.dob,
"age": self.age,
}
# CRUD update: updates user name, password, phone
# returns self
def update(self, name="", uid="", password=""):
"""only updates values with length"""
if len(name) > 0:
self.name = name
if len(uid) > 0:
self.uid = uid
if len(password) > 0:
self.set_password(password)
db.session.commit()
return self
# CRUD delete: remove self
# None
def delete(self):
db.session.delete(self)
db.session.commit()
return None
# THis is a definition template, so we wont get a response out of it
## it is a point of reference as of now, becuase we have not referenced or instantuatied it yet.
Initial Data
Uses SQLALchemy db.create_all() to initialize rows into sqlite.db
- Comment on how these work?
- Create All Tables from db Object
- The db.create_all() method on the db object creates all the relevant SQL tables based on the defined models.
- User Object Constructors
- Instantaniate the instance of the user class with the specific parameters
- Try / Except
- Finds python exceptions that could possibly be found and print an error messaage if any of these are caught.
- Create All Tables from db Object
"""Database Creation and Testing """
# Builds working data for testing
def initUsers():
with app.app_context():
"""Create database and tables"""
db.create_all()
"""Tester data for table"""
u1 = User(name='Thomas Edison', uid='toby', password='123toby', dob=datetime(1847, 2, 11))
u2 = User(name='Nikola Tesla', uid='niko', password='123niko')
u3 = User(name='Alexander Graham Bell', uid='lex', password='123lex')
u4 = User(name='Eli Whitney', uid='whit', password='123whit')
u5 = User(name='Indiana Jones', uid='indi', dob=datetime(1920, 10, 21))
u6 = User(name='Marion Ravenwood', uid='raven', dob=datetime(1921, 10, 21))
users = [u1, u2, u3, u4, u5, u6]
"""Builds sample user/note(s) data"""
for user in users:
try:
'''add user to table'''
object = user.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 {user.uid}, or error.")
initUsers()
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
- Enables us to do query methdods on the data that is in our class
- IN this case we are doing it for the user ID in the database and return only the first match.
- Comment on purpose of following
- User.query.filter_by
- Filter by a certain table column and return all relevant rows
- user.password
- Retrieve the password column entry for a specific row from the database
- User.query.filter_by
def find_by_uid(uid):
with app.app_context():
user = User.query.filter_by(_uid=uid).first()
return user # returns user object
# Check credentials by finding user and verify password
def check_credentials(uid, password):
# query email and return user record
user = find_by_uid(uid)
if user == None:
return False
if (user.is_password(password)):
return True
return False
check_credentials("indi", "123qwerty")
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
- find_by_uid returns the user row corresponding to a unique ID and returns None if the user does not exist. See above for try/except.
- user = User(...)
- The user object constructors (found in code)
- user.dob and try/except
- Get the dob column entry for each respective row entry
- user.create() and try/except
- Creates rows in the database with the daata that the current intance of the user 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:")
password = input("Enter your password")
# Initialize User object before date
user = User(name=name,
uid=uid,
password=password
)
# create user.dob, fail with today as dob
dob = input("Enter your date of birth 'YYYY-MM-DD'")
try:
user.dob = datetime.strptime(dob, '%Y-%m-%d').date()
except ValueError:
user.dob = datetime.today()
print(f"Invalid date {dob} require YYYY-mm-dd, date defaulted to {user.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
- Returns the rows in the corresponding user class table
- json_ready assignment, google List Comprehension
- Reads the user interies in the table and storesthem in a list of python objects.
- User.query.all
# SQLAlchemy extracts all users from database, turns each user into JSON
def read():
with app.app_context():
table = User.query.all()
json_ready = [user.read() for user in table] # "List Comprehensions", for each user add user.read() to list
return json_ready
read()
from flask import Blueprint, jsonify # jsonify creates an endpoint response object
from flask_restful import Api, Resource # used for REST API building
import requests # used for testing
import random
# CRUD update: updates user industry, knew, phone
# returns self
class _Update(Resource):
def patch(self):
body = User.get_json()
id = body.get('id')
name = body.get('name')
uid = body.get('uid')
dob = body.get('dob')
age = body.get('age')
uo = User(id=id, name=name, uid=uid, dob=dob, age=age)
User = uo.update()
if User:
return jsonify(User.update())
# None
class _Delete(Resource):
def delete(self):
body = User.get_json()
id = body.get('id')
name = body.get('name')
uid = body.get('uid')
dob = body.get('dob')
age = body.get('age')
uo = User(id=id, name=name, uid=uid, dob=dob, age=age)
User = uo.delete()
if User:
return jsonify(User.delete())