Notebook - Data Related to User Guide
A guide to adding data related to user (Big Idea 2)
NOTE
As you follow along, make sure to fill in the blanks and complete the coding exercises!
Introduction
When building an application that requires users to create accounts or sign in, handling data related to users is crucial. This data can include things like user profiles, preferences, and activity logs, which can be used to personalize the user experience and improve the application's performance.
For example, by storing a user's name and profile picture, the application can address the user by name and display their picture, creating a more personal experience. Activity logs can also be used to track user behavior and help the application recommend new features or improvements.
By learning how to handle data related to users effectively and responsibly, you'll be equipped with the skills and knowledge needed to build robust and user-friendly applications that meet the needs of your users
Here we go!
Establishing Class/User Data and making a new user
In Python, classes are templates used to create objects, which are instances of those classes. Classes define the data elements (attributes) and methods that describe the behavior of the objects. Let's explore how to define a class and create objects in Python.
Example: Defining a User class
class User:
def __init__(self, username, email):
self.username = username
self.email = email
def display_info(self):
print(f"Username: {self.username}, Email: {self.email}")
In this example, we define a User class with a constructor method init that takes username and email as arguments. The display_info method is used to print the user information.
In the context of backend functionality, this class can be used to create, manipulate, and manage user data. For example, when a new user signs up for an account, you could create a new User object with their username and email. This object can then be used to perform various operations, such as validating the user's input, storing the user's data in a database, or processing user-related requests.
Creating a new user:
new_user = User("john_doe", "john@example.com")
new_user.display_info()
Lecture Topics:
Establishing Class/User Data and making a new user
In Python, classes are templates used to create objects, which are instances of those classes. Classes define the data elements (attributes) and methods that describe the behavior of the objects. Let's explore how to define a class and create objects in Python.
Example: Defining a User class
class User: def init(self, username, email): self.username = username self.email = email
def display_info(self):
print(f"Username: {self.username}, Email: {self.email}")
In this example, we define a User class with a constructor method init that takes username and email as arguments. The display_info method is used to print the user information.
Creating a new user:
python
new_user = User("john_doe", "john@example.com") new_user.display_info()
Here, we create a new User object, new_user, with a specified username and email. We then call the display_info method to display the user's information.
Using property decorators (getter and setter)
Property decorators allow developers to access and modify instance data more concisely. The @property decorator creates a getter method, while the @attribute.setter decorator creates a setter method.
Example:
class Employee:
def __init__(self, employee_id, name):
self._employee_id = employee_id
self._name = name
@property
def name(self):
return self._name
@name.setter
def name(self, new_name):
self._name = new_name
In this example, the Employee class has a name attribute, which is accessed and modified through the name property getter and setter methods. The _name attribute uses an underscore prefix, which is a convention to indicate it should not be accessed directly.
In the context of backend functionality, this Employee class can be used to model employees within an application. You can create instances of this class to store and manage employee data, and the getter and setter methods can be used to access and modify employee information in a controlled way.
Usage:
employee = Employee(1001, "John Doe")
print(employee.name) # Get the name using the getter method
employee.name = "Jane Doe" # Set the name using the setter method
print(employee.name)
employee = Employee(1001, "John Doe") print(employee.name) # Get the name using the getter method
employee.name = "Jane Doe" # Set the name using the setter method print(employee.name)
In the context of backend functionality, the getter and setter methods provide a clean and controlled way to access and modify the attributes of an object. This can be particularly useful when interacting with databases, APIs, or other parts of a web application that require the management and manipulation of object attributes.
CHECK: Explain the function of getters and setters in your own words.
A getter allows us to access an attribute while a setter allows us to set or change the value of an attribute.
class Car:
def __init__(self, make, model, year):
self._make = make
self._model = model
self._year = year
@property
def make(self):
return self._make
@make.setter
def make(self, new_make):
self._make = new_make
@property
def model(self):
return self._model
@model.setter
def model(self, new_model):
self._model = new_model
@property
def year(self):
return self._year
@year.setter
def year(self, new_year):
self._year = new_year
Take notes here on property decorators and the purpose they serve:
Property decorators allow coders to define properties easily and quickly. @property decorator is used to define a method as a getter while @name.setter is used as a setter method. Property decorators overall simplify the syntax for accessing and modifying object properties, and results in a much more concise and readable code.
Students can then practice creating instances of their Car class and using the getter and setter methods to access and modify the car attributes.
In the context of backend functionality, this Car class can be used to model cars within an application. You can create instances of this class to store and manage car data, and the getter and setter methods can be used to access and modify car information in a controlled way.
Overview
WE COVERED: In conclusion, we have covered essential concepts in object-oriented programming using Python, including:
Defining classes and creating objects
Property decorators (getter and setter)
Class methods and static methods
Inheritance and method overriding
Working with multiple objects and class attributes
These concepts provide a solid foundation for understanding how to model real-world entities using classes and objects in Python. By learning to work with classes, objects, and their methods, students can develop more efficient and modular code.
As students become more comfortable with these concepts, they can explore more advanced topics, such as multiple inheritance, abstract classes, encapsulation, and polymorphism. Additionally, they can apply these principles to practical projects like web development with Flask and SQLite, as discussed earlier.
Overall, mastering object-oriented programming will greatly enhance students' ability to develop complex and maintainable software systems.
Databases and SQlite
SQLite is a software library that provides a relational database management system. Unlike other databases, such as MySQL or PostgreSQL, SQLite is embedded within an application, which means it does not require a separate server process to operate. This makes SQLite a great choice for small-scale applications or for use in situations where you don't want to set up a full database server.
The benefits of using SQLite include its simplicity, small footprint, and portability. Because SQLite is embedded in an application, you don't need to worry about setting up a separate database server or dealing with complicated configuration files. SQLite is also very lightweight, with a small memory footprint, making it ideal for use in small-scale applications or situations where resources are limited. In addition, SQLite databases are stored as a single file, which means they can easily be moved between different systems or shared with other users. This makes SQLite a great choice for developers who need to distribute their applications or work on multiple platforms.
In this lesson, we will be demonstrating how to set up a SQLite database in Flask, which provides an easy-to-use interface for interacting with SQLite databases, and we'll walk through the process of setting up a new database, creating tables, and adding data. We'll also cover some basic SQL commands that you can use to interact with your database, including CREATE TABLE, INSERT, SELECT, UPDATE, and DELETE. By the end of this lesson, you'll have a good understanding of how to work with SQLite databases in Flask and be ready to start building your own applications.
Setting up a SQLite database in Flask
Flask is a popular Python web framework that enables developers to build web applications easily and quickly. Flask is classified as a micro-framework because it provides only the essential tools and features needed for building web applications. One of the key features of Flask is its ability to work seamlessly with databases, including SQLite. A database is a collection of data stored in an organized manner that can be easily accessed, managed, and updated. Flask makes it easy to create a web application that interacts with a SQLite database by providing several built-in tools and extensions. Flask's database integration capabilities allow developers to create applications that can perform complex data manipulation and retrieval operations, such as searching, filtering, sorting, and aggregating data. In order to set up a SQLite database in Flask, we need to import the necessary libraries and tools, create a Flask application, connect to the SQLite database using SQLite3, create a cursor object to execute SQL commands, and create tables in the database using SQL commands. Flask provides several extensions and tools for working with SQLite databases, including Flask-SQLAlchemy, Flask-SQLite3, and Flask-Admin. These tools provide a high-level interface for interacting with the database, making it easy to perform common operations such as adding, updating, and deleting records.
SQlite databse in Flask
from flask import Flask
import sqlite3
# Create a Flask application
app = Flask(__name__)
# Connect to the SQLite database using SQLite3
conn = sqlite3.connect('instance/example.db')
# Create a cursor object to execute SQL commands
cursor = conn.cursor()
# Create a table in the database using SQL commands
cursor.execute('''CREATE TABLE example_table
(id INTEGER PRIMARY KEY, name TEXT, age INTEGER)''')
# Commit the changes to the database
conn.commit()
# Close the connection
conn.close()
Basic SQL commands (create, read, update, delete)
SQL is really useful because it helps people do a bunch of things with the data stored in databases. For example, they can use it to create new tables to organize data, add new data to a table, update data that's already there, or delete data that's no longer needed.
CRUD is an acronym that stands for the fundamental operations that can be performed on a database, which are Create, Read, Update, and Delete. A widely-used lightweight database management system is SQLite, which can be easily integrated with different programming languages.
C: To create a new record in a database, you must first define the table structure that will store the data. This can be accomplished using SQL commands such as CREATE. Once the table is created, data can be added to it using the INSERT INTO command.
R: To retrieve data from the database, you can use the READ command. You can specify which fields you want to retrieve and the conditions you want to apply using the WHERE clause. There are also several functions available to aggregate and manipulate data.
U: To modify existing data in the database, you can use the UPDATE command. You will need to specify which table and fields you want to update, and the conditions you want to apply using the WHERE clause.
D: To remove data from the database, you can use the DELETE command
Take notes here on the basic components of SQL:
- Some basic commands are CRUD - or Create, Read, Update, and Delete
- Create creates the SQL table for the database, and also creates records and data inside the database
- Read retrieves data from the database and outputs it. Not all records or attributes have to be retrieved, and specific attributes can be called.
- Update retrieves the data from the database and updates it. Not all attributes have to be updated, and specific attributes can be mentioned.
- Delete removes the data from the database based on a specific attribute
import sqlite3
def menu():
operation = input("Enter: (C)reate (R)ead (U)pdate or (D)elete")
if operation.lower() == 'c':
create()
elif operation.lower() == 'r':
read()
elif operation.lower() == 'u':
update()
elif operation.lower() == 'd':
delete()
elif len(operation)==0: # Escape Key
return
else:
print("Please enter c, r, u, or d")
menu() # recursion, repeat menu
try:
menu() # start menu
except:
print("Perform Jupyter 'Run All' prior to starting menu")
This block of code is a menu function that helps with Create, Read, Update, and Delete (CRUD) tasks and displays the schema. The menu function acts as a control point that directs the program to call different functions based on what the user wants to do. When users enter their preferred action, the input is checked to see which function to use. The menu function is created with no arguments and is called repeatedly, displaying the menu options until the user decides to leave.
This menu function is especially helpful for easily and efficiently managing CRUD tasks. To run the script, the menu function is called within a try block, and if there is an error, the except block catches it and shows a message guiding the user to perform a "Run All" operation before starting the menu. This ensures that all necessary code cells have been executed in the Jupyter Notebook environment. This menu function is flexible and can be adjusted for different applications and projects where CRUD operations are necessary, providing a user-friendly interface and efficient error handling.
Creating a Database
import sqlite3
def create_database():
# Connect to the database (will create it if it doesn't exist)
connection = sqlite3.connect('instance/professors.db')
cursor = connection.cursor()
# Create the professors table if it doesn't already exist
cursor.execute('''CREATE TABLE IF NOT EXISTS professors (
name TEXT,
field TEXT,
rating REAL,
reviews TEXT
)''')
# Commit changes and close the connection
connection.commit()
connection.close()
# Call the function to create the database
create_database()
import sqlite3
def create():
database = 'instance/professors.db'
name = input("Enter the professor's name: ")
field = input("Enter the professor's field of expertise: ")
rating = input("Enter the professor's rating (out of 10): ")
reviews = input("Enter any reviews or comments about the professor: ")
# Connect to the database and create a cursor to execute SQL commands
connection = sqlite3.connect(database)
cursor = connection.cursor()
try:
# Execute SQL to insert record into db
cursor.execute("INSERT INTO professors (name, field, rating, reviews) VALUES (?, ?, ?, ?)", (name, field, rating, reviews))
# Commit the changes
connection.commit()
print(f"{name} has been added to the list of coding professors.")
except sqlite3.Error as error:
print("Error while inserting record", error)
# Close cursor and connection
cursor.close()
connection.close()
create()
The create() function allows users to input information about a coding professor and store it in a SQLite database named 'professors.db'. This script prompts the user for the professor's name, field of expertise, rating out of 10, and any reviews or comments about the professor. It then establishes a connection to the SQLite database and creates a cursor object for executing SQL commands.
Within a try block, the cursor.execute() method is called with an SQL INSERT command to insert a new record into the 'professors' table, using placeholders to prevent SQL injection attacks. The connection.commit() method saves the changes to the database, and if the record is inserted successfully, a confirmation message is printed. In case of errors, the except block catches the sqlite3.Error exception and prints an error message. Finally, the cursor and the connection to the database are closed, and the create() function is called to execute the code, showcasing a practical way to store user-inputted data in a SQLite database. This create function can be easily adapted to other projects where it is necessary to store user-inputted data.
import sqlite3
def read():
try:
# Open a connection to the database and create a cursor
connection = sqlite3.connect('instance/professors.db')
cursor = connection.cursor()
# Fetch all records from the professors table
cursor.execute("SELECT * FROM professors")
rows = cursor.fetchall()
# If there are any records, print them
if len(rows) > 0:
print("List of coding professors:")
for row in rows:
print(f"Name: {row[0]}\nField of expertise: {row[1]}\nRating: {row[2]}\nReviews: {row[3]}\n")
else:
print("There are no coding professors in the list.")
except sqlite3.Error as error:
print("Error while connecting to the database:", error)
finally:
# Close the cursor and the connection to the database
cursor.close()
connection.close()
read()
This code demonstrates how to read data from a SQLite database using Python and the sqlite3 library. The first step is to establish a connection to the database and create a cursor object to execute SQL commands. Then, a SELECT query is executed to fetch all records from the "professors" table. If there are any records, the code iterates through each record and prints out the name, field of expertise, rating, and reviews for each coding professor. If there are no records in the table, a message indicating so is printed. If any error occurs during the execution of the code, an error message is printed to the console. Finally, the cursor and the connection to the database are closed to ensure that resources are freed up and prevent memory leaks.
import sqlite3
def update():
database = 'instance/professors.db'
connection = sqlite3.connect(database)
cursor = connection.cursor()
try:
# Get the professor's name to update
name = input("Enter the name of the professor to update: ")
# Retrieve the current record from the database
cursor.execute("SELECT * FROM professors WHERE name=?", (name,))
record = cursor.fetchone()
# If the professor is found, update the record
if record:
print("Enter the new information for the professor:")
field = input(f"Current field: {record[1]}\nNew field: ")
rating = input(f"Current rating: {record[2]}\nNew rating: ")
reviews = input(f"Current reviews: {record[3]}\nNew reviews: ")
# Execute SQL to update the record
cursor.execute("UPDATE professors SET field=?, rating=?, reviews=? WHERE name=?", (field, rating, reviews, name))
connection.commit()
print(f"{name}'s record has been updated.")
# If the professor is not found, notify the user
else:
print(f"No record found for {name}.")
except sqlite3.Error as error:
print("Error while updating record", error)
# Close cursor and connection
cursor.close()
connection.close()
update ()
This is an implementation of an update function for the professors database using the sqlite3 module in Python. The function first establishes a connection to the database file 'instance/professors.db' and creates a cursor object to execute SQL commands. It prompts the user to enter the name of the professor to update and retrieves the corresponding record from the database using a SELECT statement with a WHERE clause to match the professor's name. If the professor is found in the database, the user is prompted to enter new information for the professor's field of expertise, rating, and reviews. The function then executes an UPDATE statement with the new information to update the record in the database.
If the professor is not found, the function notifies the user that no record was found. Finally, the function closes the cursor and connection to the database. The try-except block is used to catch any potential errors that may occur during the execution of the function.
import sqlite3
def delete():
# Connect to the database and create a cursor
connection = sqlite3.connect('instance/professors.db')
cursor = connection.cursor()
# Prompt the user for the name of the professor to delete
name = input("Enter the name of the professor you want to delete: ")
# Use a SQL query to find the professor with the given name
cursor.execute("SELECT * FROM professors WHERE name=?", (name,))
row = cursor.fetchone()
# If the professor exists, confirm deletion and delete the record
if row:
confirm = input(f"Are you sure you want to delete {name}? (y/n): ")
if confirm.lower() == 'y':
cursor.execute("DELETE FROM professors WHERE name=?", (name,))
connection.commit()
print(f"{name} has been deleted from the list of coding professors.")
else:
print(f"{name} not found in the list of coding professors.")
# Close the cursor and the connection to the database
cursor.close()
connection.close()
delete()
This code is a Python function for deleting a record from a SQLite database. The function prompts the user to input the name of the professor they want to delete. It then uses a SQL query to search for the professor in the database. If the professor is found, the user is prompted to confirm the deletion. If the user confirms, the function executes a SQL command to delete the record from the database. The function also prints a message confirming that the professor has been deleted from the list of coding professors. If the professor is not found in the database, the function prints a message indicating that the professor is not in the list.
To accomplish these tasks, the function first establishes a connection to the SQLite database using the sqlite3.connect() method. It then creates a cursor object that is used to execute SQL commands. The function prompts the user to enter the name of the professor they want to delete and then uses a SQL query to search the database for the professor with that name. The cursor object's execute() method is called with the SQL query and a tuple containing the name of the professor as its argument. The fetchone() method is then called on the cursor object to retrieve the record that matches the query. If the professor is found, the function prompts the user to confirm the deletion. If the user confirms, the cursor object's execute() method is called with another SQL query to delete the record from the database. The commit() method is called on the connection object to save the changes to the database. Finally, the function closes the cursor and connection to the database using the close() method on each object.
import sqlite3
def create_hacks_file():
connection = sqlite3.connect('instance/shoes.db')
cursor = connection.cursor()
cursor.execute('''CREATE TABLE IF NOT EXISTS shoes (
brand TEXT,
model TEXT,
cost REAL,
size REAL,
color TEXT
)''')
connection.commit()
connection.close()
create_hacks_file()
import sqlite3
def create():
db_file = 'instance/shoes.db'
brand = input("Enter the shoe brand: ")
model = input("Enter the shoe model/brand: ")
cost = input("Enter the shoe price rounded to the nearest dollar: ")
size = input("Enter the shoe size: ")
color = input("Enter the shoe color: ")
connection = sqlite3.connect(db_file)
cursor = connection.cursor()
try:
cursor.execute("INSERT INTO shoes (brand, model, cost, size, color) VALUES (?, ?, ?, ?, ?)", (brand, model, cost, size, color))
connection.commit()
print(f"{brand} has been added to the list of coding shoes.")
except sqlite3.Error as error:
print("Error while inserting record", error)
cursor.close()
connection.close()
create()
def read():
try:
connection = sqlite3.connect('instance/shoes.db')
cursor = connection.cursor()
cursor.execute("SELECT * FROM shoes")
rows = cursor.fetchall()
if len(rows) > 0:
print("List of coding shoes:")
for row in rows:
print(f"brand: {row[0]},\nmodel: {row[1]},\ncost: {row[2]},\nsize: {row[3]},\ncolor: {row[4]}\n")
else:
print("There are no coding shoes in the list.")
except sqlite3.Error as error:
print("Error while connecting to the db_file:", error)
finally:
cursor.close()
connection.close()
read()
def update():
db_file = 'instance/shoes.db'
connection = sqlite3.connect(db_file)
cursor = connection.cursor()
try:
brand = input("Enter the brand of the shoe to update: ")
cursor.execute("SELECT * FROM shoes WHERE brand=?", (brand,))
record = cursor.fetchone()
if record:
print("Enter the new information for the shoe:")
model = input(f"Current model: {record[1]}\nNew model: ")
cost = input(f"Current cost: {record[2]}\nNew cost: ")
size = input(f"Current size: {record[3]}\nNew size: ")
color = input(f"Current color: {record[4]}\nNew color: ")
cursor.execute("UPDATE shoes SET model=?, cost=?, size=?, color=? WHERE brand=?", (model, cost, size, color, brand))
connection.commit()
print(f"{brand}'s record has been updated.")
else:
print(f"No record found for {brand}.")
except sqlite3.Error as error:
print("Error while updating record", error)
cursor.close()
connection.close()
update()
def delete():
connection = sqlite3.connect('instance/shoes.db')
cursor = connection.cursor()
brand = input("Enter the brand of the shoe you want to delete: ")
cursor.execute("SELECT * FROM shoes WHERE brand=?", (brand,))
row = cursor.fetchone()
if row:
confirm = input(f"Are you sure you want to delete {brand}? (y/n): ")
if confirm.lower() == 'y':
cursor.execute("DELETE FROM shoes WHERE brand=?", (brand,))
connection.commit()
print(f"{brand} has been deleted from the list of coding shoes.")
else:
print(f"{brand} not found in the list of coding shoes.")
cursor.close()
connection.close()
delete()
def table():
operation = input("Enter: (C)reate (R)ead (U)pdate or (D)elete")
if operation.lower() == 'c':
print("Create Operation")
create()
elif operation.lower() == 'r':
print("Read Operation")
read()
elif operation.lower() == 'u':
print("Update Operation")
update()
elif operation.lower() == 'd':
print("Delete Operation")
delete()
elif len(operation)==0:
return
else:
print("Please enter c, r, u, or d")
table()
try:
table()
except:
print("Perform Jupyter 'Run All' prior to starting table")
table()
HACKS
Make sure to fill in all blanks, take notes when prompted, and at least attempt each of the interactive coding exercises. (0.45)
Create your own database and create an algorithm that can insert, update, and delete data ralted to user. Points will be awarded based on effort and success. (0.45)
- Extra Credit: Connect your backend to a visible frontend!
Image of SQL Table created through hacks
