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Web UI cra #3

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124 changes: 124 additions & 0 deletions Ecommerce/Users.php
Original file line number Diff line number Diff line change
@@ -0,0 +1,124 @@
<?php

defined('BASEPATH') OR exit('No direct script access allowed');

class Users extends MY_Controller
{

private $registerErrors = array();
private $user_id;
private $num_rows = 5;

public function __construct()
{
parent::__construct();
$this->load->library('email');
}

public function index()
{
show_404();
}

public function login()
{
if (isset($_POST['login'])) {
$result = $this->Public_model->checkPublicUserIsValid($_POST);
if ($result !== false) {
$_SESSION['logged_user'] = $result; //id of user
redirect(LANG_URL . '/checkout');
Comment on lines +25 to +29
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Suggestion: Consider implementing more robust error handling for the login process. Instead of directly redirecting within the conditionals, set an error message variable and decide the redirect based on the final state.
Code Suggestion:

+    $redirectUrl = LANG_URL . '/checkout';
+    if ($result === false) {
+        $redirectUrl = LANG_URL . '/login';
+    }
+    redirect($redirectUrl);

} else {
Comment on lines +25 to +30
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Security Issue: The code directly uses $_POST data without proper validation or sanitization before using it in the Public_model->checkPublicUserIsValid method. This could lead to SQL Injection if the method constructs SQL queries without using prepared statements or parameterized queries.
Fix: Ensure all input data is validated and sanitized before use. Implement prepared statements or parameterized queries in the Public_model->checkPublicUserIsValid method to prevent SQL Injection.
Code Suggestion:

+            $validatedData = filter_input_array(INPUT_POST, FILTER_SANITIZE_STRING);
+            $result = $this->Public_model->checkPublicUserIsValid($validatedData);

$this->session->set_flashdata('userError', lang('wrong_user'));
}
}
$head = array();
$data = array();
$head['title'] = lang('user_login');
$head['description'] = lang('user_login');
$head['keywords'] = str_replace(" ", ",", $head['title']);
$this->render('login', $head, $data);
}

public function register()
{
if (isset($_POST['signup'])) {
$result = $this->registerValidate();
if ($result == false) {
$this->session->set_flashdata('userError', $this->registerErrors);
redirect(LANG_URL . '/register');
} else {
Comment on lines +44 to +49
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Security Issue: Similar to the login function, the register function also uses $_POST data directly without validation or sanitization in the registerValidate method. This practice opens up vulnerabilities to SQL Injection and other forms of input-based attacks.
Fix: Validate and sanitize all incoming data before processing. Use prepared statements or parameterized queries in the registerValidate method to mitigate SQL Injection risks.
Code Suggestion:

+            $validatedData = filter_input_array(INPUT_POST, FILTER_SANITIZE_STRING);
+            $result = $this->registerValidate($validatedData);

$_SESSION['logged_user'] = $this->user_id; //id of user
redirect(LANG_URL . '/checkout');
}
}
$head = array();
$data = array();
$head['title'] = lang('user_register');
$head['description'] = lang('user_register');
$head['keywords'] = str_replace(" ", ",", $head['title']);
$this->render('signup', $head, $data);
}

public function myaccount($page = 0)
{
if (isset($_POST['update'])) {
$_POST['id'] = $_SESSION['logged_user'];
$count_emails = $this->Public_model->countPublicUsersWithEmail($_POST['email'], $_POST['id']);
if ($count_emails == 0) {
$this->Public_model->updateProfile($_POST);
}
redirect(LANG_URL . '/myaccount');
}
$head = array();
$data = array();
$head['title'] = lang('my_acc');
$head['description'] = lang('my_acc');
$head['keywords'] = str_replace(" ", ",", $head['title']);
$data['userInfo'] = $this->Public_model->getUserProfileInfo($_SESSION['logged_user']);
$rowscount = $this->Public_model->getUserOrdersHistoryCount($_SESSION['logged_user']);
$data['orders_history'] = $this->Public_model->getUserOrdersHistory($_SESSION['logged_user'], $this->num_rows, $page);
$data['links_pagination'] = pagination('myaccount', $rowscount, $this->num_rows, 2);
$this->render('user', $head, $data);
}

public function logout()
{
unset($_SESSION['logged_user']);
redirect(LANG_URL);
}

private function registerValidate()
{
$errors = array();
if (mb_strlen(trim($_POST['name'])) == 0) {
$errors[] = lang('please_enter_name');
}
if (mb_strlen(trim($_POST['phone'])) == 0) {
$errors[] = lang('please_enter_phone');
}
if (!filter_var($_POST['email'], FILTER_VALIDATE_EMAIL)) {
$errors[] = lang('invalid_email');
Comment on lines +99 to +100
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Security Issue: The email validation using filter_var is good, but it's done directly on $_POST data without prior sanitization, which could potentially be used in other parts of the code leading to Cross-Site Scripting (XSS) if echoed back to the user.
Fix: Sanitize the email and other input fields before validation or usage in the code to prevent XSS attacks.
Code Suggestion:

+            $_POST['email'] = filter_var($_POST['email'], FILTER_SANITIZE_EMAIL);

}
if (mb_strlen(trim($_POST['pass'])) == 0) {
$errors[] = lang('enter_password');
}
if (mb_strlen(trim($_POST['pass_repeat'])) == 0) {
$errors[] = lang('repeat_password');
}
if ($_POST['pass'] != $_POST['pass_repeat']) {
$errors[] = lang('passwords_dont_match');
}

$count_emails = $this->Public_model->countPublicUsersWithEmail($_POST['email']);
if ($count_emails > 0) {
$errors[] = lang('user_email_is_taken');
}
if (!empty($errors)) {
$this->registerErrors = $errors;
return false;
}
$this->user_id = $this->Public_model->registerUser($_POST);
return true;
Comment on lines +90 to +121
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Suggestion: Refactor the 'registerValidate' method to improve error handling and validation logic separation. Consider using a validation library or framework features to streamline the process.
Code Suggestion:

+    // Consider refactoring to use a validation library or framework features

Comment on lines +90 to +121
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Suggestion: The registration validation logic directly accesses the $_POST superglobal without any form of validation or sanitization. Consider using a filtering mechanism to sanitize user inputs and protect against SQL injection or other forms of attacks.
Code Suggestion:

+ $name = filter_input(INPUT_POST, 'name', FILTER_SANITIZE_STRING);
- if (mb_strlen(trim($_POST['name'])) == 0) {
+ if (mb_strlen(trim($name)) == 0) {

}

}
86 changes: 86 additions & 0 deletions python/abc.php
Original file line number Diff line number Diff line change
@@ -0,0 +1,86 @@
<?php
require "./includes/common.php";
?>
<html>
<head>
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css" >


<!--jQuery library-->
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script>


<!--Latest compiled and minified JavaScript-->
<script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js"></script>
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Navbar in Bootstrap</title>

<link rel="stylesheet" href="css/style.css">


</head>
<body>
<nav class="navbar navbar-inverse navbar-fixed-top">
<div class="container">
<div class="navbar-header">
<button type="button" class="navbar-toggle" data-toggle="collapse" data-target="#myNavbar">
<span class="icon-bar"></span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
</button>
<a class="navbar-brand" href="index.php">Lifestyle Store</a>
</div>
<div class="collapse navbar-collapse" id="myNavbar">
<ul class="nav navbar-nav navbar-right">
<li><a href="signup.php"><span class="glyphicon glyphicon-user"></span> Sign Up</a></li>
<li><a href="login.php"><span class="glyphicon glyphicon-log-in"></span> Login</a></li>
</ul>
</div>
</div>
</nav>


<div class="container">


<div class="row_style">

<h2>
Sign Up
</h2>
<form method="POST" action="signup_script.php">
<div class="form-group">
<input class="form-control" placeholder="Name" name="name" pattern="^[A-Za-z\s]{1,}[\.]{0,1}[A-Za-z\s]{0,}$" required> </div>

<div class="form-group">
<input type="email" class="form-control" placeholder="Email" pattern="[a-z0-9._%+-]+@[a-z0-9.-]+\.[a-z]{2,3}$" name="email" required>
Comment on lines +53 to +56
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Security Issue: The form inputs in the signup form are directly inserted into the database without proper validation, which can lead to SQL Injection attacks. Also, the email input does not validate the domain part properly, allowing for potential spoofing.
Fix: Implement server-side validation for all input fields. Use prepared statements or an ORM to safely insert data into the database. Improve email validation to include domain verification.
Code Suggestion:

<?php
require "./includes/common.php";
?>
<html>
    <head>
        <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css" >


        <!--jQuery library--> 
        <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script>


        <!--Latest compiled and minified JavaScript--> 
        <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js"></script>
        <meta name="viewport" content="width=device-width, initial-scale=1">
        <title>Navbar in Bootstrap</title>

        <link rel="stylesheet" href="css/style.css">


    </head>
    <body>
        <nav class="navbar navbar-inverse navbar-fixed-top">
            <div class="container">
                <div class="navbar-header">
                    <button type="button" class="navbar-toggle" data-toggle="collapse" data-target="#myNavbar">
                        <span class="icon-bar"></span>
                        <span class="icon-bar"></span>
                        <span class="icon-bar"></span>                        
                    </button>
                    <a class="navbar-brand" href="index.php">Lifestyle Store</a>
                </div>
                <div class="collapse navbar-collapse" id="myNavbar">
                    <ul class="nav navbar-nav navbar-right">
                        <li><a href="signup.php"><span class="glyphicon glyphicon-user"></span> Sign Up</a></li>
                        <li><a href="login.php"><span class="glyphicon glyphicon-log-in"></span> Login</a></li>
                    </ul>
                </div>
            </div>
        </nav>


        <div class="container">


            <div class="row_style">

                <h2>
                    Sign Up
                </h2>
                <form method="POST" action="signup_script.php">
                    <div class="form-group">
                        <input class="form-control" placeholder="Name" name="name"   pattern="^[A-Za-z\s]{1,}[\.]{0,1}[A-Za-z\s]{0,}$" required>                        </div>

                    <div class="form-group">
                        <input type="email" class="form-control"  placeholder="Email" pattern="[a-z0-9._%+-]+@[a-z0-9.-]+\.[a-z]{2,3}$"  name="email" required>
                      </div>

                    <div class="form-group">
                        <input type="password" class="form-control" placeholder="Password" name="password" required = "true" pattern=".{6,}">
                    </div>

                    <div class="form-group">
                        <input type="tel" class="form-control" name="contact" placeholder="Contact" maxlength="10" size="10" required="true" pattern="[\+]\d{2}[\(]\d{2}[\)]\d{4}[\-]\d{4}">
                    </div>

                    <div class="form-group">
                        <input type="text" class="form-control" name="city" placeholder="City">
                    </div>

                    <div class="form-group">
                        <input type="text" class="form-control" name="address" placeholder="Address">
                    </div>
                </form>
                <div class="btn-signup">
                    <button class="btn btn-primary">Submit</button>
                </div>
            </div>

        </div>

        <?php
        include './includes/footer.php';
        ?>
    </body>
</html>

</div>

<div class="form-group">
<input type="password" class="form-control" placeholder="Password" name="password" required = "true" pattern=".{6,}">
</div>

<div class="form-group">
<input type="tel" class="form-control" name="contact" placeholder="Contact" maxlength="10" size="10" required="true" pattern="[\+]\d{2}[\(]\d{2}[\)]\d{4}[\-]\d{4}">
</div>

<div class="form-group">
<input type="text" class="form-control" name="city" placeholder="City">
</div>

<div class="form-group">
<input type="text" class="form-control" name="address" placeholder="Address">
</div>
</form>
<div class="btn-signup">
<button class="btn btn-primary">Submit</button>
</div>
</div>

</div>

<?php
include './includes/footer.php';
?>
</body>
</html>
21 changes: 21 additions & 0 deletions python/app.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,21 @@
from flask import Flask, render_template, request, redirect, url_for

app = Flask(__name__)

tasks = []


@app.route('/')
def index():
return render_template('index.html', tasks=tasks)


@app.route('/add', methods=['POST'])
def add():
task = request.form.get('task')
tasks.append(task)
Comment on lines +15 to +16
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Security Issue: The application does not sanitize or validate user input before appending it to the tasks list, which could lead to Cross-Site Scripting (XSS) attacks if the data is rendered in the browser without proper encoding.
Fix: Sanitize and validate user input before processing to prevent XSS. Ensure any user-generated content is encoded before being rendered in the browser.
Code Suggestion:

from flask import Flask, render_template, request, redirect, url_for, escape

@app.route('/add', methods=['POST'])
def add():
    task = escape(request.form.get('task'))
    tasks.append(task)
    return redirect(url_for('index'))

return redirect(url_for('index'))
Comment on lines +15 to +17
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Suggestion: Validate the 'task' input from the form to prevent potential security issues, such as XSS attacks. Sanitizing input is crucial for web application security.
Code Suggestion:

+    task = sanitize(request.form.get('task'))

Comment on lines +13 to +17
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Scalability Issue: The add function appends tasks directly to a global list without considering concurrency issues. In a highly scalable system, where multiple requests might attempt to modify the global list concurrently, this can lead to race conditions and data integrity issues. The lack of thread-safe operations on the global list can significantly hinder the system's ability to scale and handle concurrent operations efficiently.
Fix: To address concurrency issues, consider using a thread-safe collection for storing tasks or implementing locking mechanisms around operations that modify the global list. Python's queue.Queue is inherently thread-safe and could be an excellent alternative for managing tasks in a concurrent environment. This change will ensure that the system remains stable and scalable as the number of concurrent operations increases.
Code Suggestion:

+from queue import Queue

 tasks = Queue()

 @app.route('/add', methods=['POST'])
 def add():
     task = request.form.get('task')
+    tasks.put(task)
     return redirect(url_for('index'))



if __name__ == '__main__':
app.run(debug=True)
Comment on lines +1 to +21
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Suggestion: Implement error handling for the routes to manage unexpected inputs or failures gracefully, enhancing the application's robustness.
Code Suggestion:

+    from flask import abort
+    
+    @app.errorhandler(404)
+    def page_not_found(error):
+        return render_template('404.html'), 404

23 changes: 23 additions & 0 deletions python/bs.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,23 @@
def binary_search(arr, target):
low, high = 0, len(arr) - 1

while low >= high:
mid = (low - high) // 2
if arr[mid] == target:
return mid
elif arr[mid] < target:
low = mid + 1
else:
high = mid - 1

return -1
Comment on lines +1 to +13
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Scalability Issue: The binary_search function uses a while loop with a condition that can never be true (while low >= high). This logic error will prevent the function from executing correctly. Moreover, for scalability, especially with very large datasets, the efficiency of the binary search algorithm is crucial. A minor logic error can significantly impact the system's ability to scale by increasing the time complexity of search operations unnecessarily.
Fix: Correct the condition in the while loop to ensure it allows the binary search to proceed correctly. The correct condition should be while low <= high, which allows the search space to be reduced correctly. This correction will ensure that the binary search algorithm maintains its O(log n) complexity, essential for scalability in operations involving large datasets.
Code Suggestion:

-    while low >= high:
+    while low <= high:
-        mid = (low - high) // 2
+        mid = low + (high - low) // 2


# Example usage
sorted_array = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 12]
target_value = 12
result = binary_search(sorted_array, target_value)

if result != -1:
print(f"Element {target_value} found at index {result}")
else:
print("Element not found")
26 changes: 26 additions & 0 deletions python/index.html
Original file line number Diff line number Diff line change
@@ -0,0 +1,26 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Todo List</title>
</head>
<body>
<h1>Todo List</h1>
<ul>
{% for task in tasks %}
<li>{{ task }}</li>
{% endfor %}
</ul>
<form action="/add" method="post">
<label for="task">Add Task:</label>
<input type="text" id="task" name="task" required>
<button type="submit">Add</button>
</form>
<form action="/add" method="post">
<label for="task">Add Task:</label>
<input type="text" id="task" name="task" required>
<button type="submit">Add</button>
</form>
Comment on lines +15 to +24
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Suggestion: Remove the duplicate form to avoid redundancy and potential confusion for the end-users. Having two identical forms for adding tasks could lead to a misleading user experience.
Code Suggestion:

-    <form action="/add" method="post">
-        <label for="task">Add Task:</label>
-        <input type="text" id="task" name="task" required>
-        <button type="submit">Add</button>
-    </form>

Comment on lines +15 to +24
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Suggestion: The form action "/add" is repeated twice in the HTML template. If this is intentional for demonstration, ignore this suggestion. Otherwise, consider removing the duplicate form to clean up the template.
Code Suggestion:

-    <form action="/add" method="post">
-        <label for="task">Add Task:</label>
-        <input type="text" id="task" name="task" required>
-        <button type="submit">Add</button>
-    </form>

Comment on lines +15 to +24
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Suggestion: The form for adding a task is duplicated. Remove the duplicate to clean up the UI and prevent potential confusion for the end-users.
Code Suggestion:

-    <form action="/add" method="post">
-        <label for="task">Add Task:</label>
-        <input type="text" id="task" name="task" required>
-        <button type="submit">Add</button>
-    </form>

Comment on lines +15 to +24
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Code Structure Issue: Duplicate form submission. Two identical forms are present for adding a task, which could lead to confusion and unintended multiple submissions.
Fix: Remove the duplicate form to prevent confusion and ensure that users can add tasks without any unintended behavior.
Code Suggestion:

-    <form action="/add" method="post">
+        <label for="task">Add Task:</label>
+        <input type="text" id="task" name="task" required>
+        <button type="submit">Add</button>
+    </form>

</body>
</html>
32 changes: 32 additions & 0 deletions python/linkdedlist.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,32 @@
class Node:
def __init__(self, data):
self.data = data
self.next = None

class LinkedList:
def __init__(self):
self.head = None

def append(self, data):
new_node = Node(data)
if not self.head:
self.head = new_node
return
last_node = self.head
while last_node.next:
last_node = last_node.next
last_node.next = new_node
Comment on lines +10 to +18
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Suggestion: Simplify the 'append' method by checking if 'self.head' is 'None' directly, removing the unnecessary negation.
Code Suggestion:

-    if not self.head:
+    if self.head is None:

Comment on lines +10 to +18
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Optimization Issue: The 'append' method iterates through the entire list to find the last node, which leads to O(n) complexity for each append operation. For a large number of append operations, this can significantly degrade performance.
Fix: Maintain a reference to the last node in the LinkedList class to achieve O(1) append operations by directly accessing the last node without iteration.
Code Suggestion:

class LinkedList:
    def __init__(self):
        self.head = None
        self.tail = None

    def append(self, data):
        new_node = Node(data)
        if not self.head:
            self.head = new_node
            self.tail = new_node
            return
        self.tail.next = new_node
        self.tail = new_node

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Performance Issue: The append method in the LinkedList class iterates through the entire list to find the last node. This approach has a time complexity of O(n), which can lead to performance issues as the size of the list grows.
Fix: Maintain a reference to the tail of the list within the LinkedList class. Update this reference whenever a new node is appended. This change will reduce the time complexity of the append operation to O(1).
Code Suggestion:

class LinkedList:
    def __init__(self):
        self.head = None
        self.tail = None

    def append(self, data):
        new_node = Node(data)
        if not self.head:
            self.head = new_node
            self.tail = new_node
            return
        self.tail.next = new_node
        self.tail = new_node


def display(self):
current_node = self.head
while current_node:
print(current_node.data, end=" -> ")
current_node = current_node.next
print("None")

# Example usage
linked_list = LinkedList()
linked_list.append(1)
linked_list.append(2)
linked_list.append(3)
linked_list.display()
38 changes: 38 additions & 0 deletions python/queue.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,38 @@
import heapq

class TaskManager:
def __init__(self):
self.tasks = []
self.task_id_counter = 1

def add_task(self, priority, description):
task = (priority, self.task_id_counter, description)
heapq.heappush(self.tasks, task)
self.task_id_counter += 1
Comment on lines +8 to +11
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Suggestion: Consider encapsulating task creation logic into a separate method or function to enhance code readability and maintainability.
Code Suggestion:

+    def create_task(self, priority, description):
+        return (priority, self.task_id_counter, description)
-        task = (priority, self.task_id_counter, description)
+        task = self.create_task(priority, description)

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Scalability Issue: The 'add_task' method uses a tuple with priority as the first element for task management, which is pushed into a min heap. This implementation may lead to scalability issues when the number of tasks grows significantly, as the retrieval of tasks with the highest priority (smallest numerical value) will always require a full heap traversal.
Fix: Implement a max heap instead of a min heap for the tasks, so that tasks with the highest priority are retrieved more efficiently. This can be achieved by negating the priority when adding and retrieving tasks from the heap.
Code Suggestion:

- task = (priority, self.task_id_counter, description)
+ task = (-priority, self.task_id_counter, description)

Comment on lines +8 to +11
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Suggestion: Consider using a namedtuple for tasks to improve code readability and maintainability. Using a tuple with positional elements can be less clear than using a named structure, especially when accessing elements.
Code Suggestion:

+ from collections import namedtuple
+ Task = namedtuple('Task', ['priority', 'id', 'description'])
- task = (priority, self.task_id_counter, description)
+ task = Task(priority, self.task_id_counter, description)

Comment on lines +8 to +11
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Code Structure Issue: The 'add_task' method uses a tuple for task storage, which is immutable and might not be the best choice if tasks need to be updated. Considering tasks might have attributes that could change, using a mutable data structure like a dictionary could offer more flexibility.
Fix: Use a dictionary to store task attributes. This change allows for easier updates to individual task attributes if needed.
Code Suggestion:

class TaskManager:
    def __init__(self):
        self.tasks = {}
        self.task_id_counter = 1

    def add_task(self, priority, description):
        self.tasks[self.task_id_counter] = {'priority': priority, 'description': description}
        self.task_id_counter += 1

Comment on lines +3 to +11
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Scalability Issue: The current implementation of the TaskManager class uses a priority queue for task management, which is a good choice for maintaining tasks by priority. However, the scalability issue arises with the use of a list to store tasks and the reliance on the heapq module for priority queue behavior. This approach is efficient for smaller datasets but can become a bottleneck when the number of tasks grows significantly. The complexity of inserting an element into a priority queue implemented as a binary heap is O(log n), and while this is relatively efficient, the underlying list structure can cause memory reallocation issues as the list grows.
Fix: Consider implementing the priority queue using a more efficient data structure that can handle dynamic resizing more gracefully, such as a self-balancing binary search tree (e.g., AVL tree, Red-Black tree) or a Fibonacci heap. These structures offer better performance characteristics for certain operations that could be beneficial as the scale of tasks increases. Additionally, evaluate the possibility of integrating with a distributed task queue system like Celery with Redis or RabbitMQ as the backend for horizontal scalability.
Code Suggestion:

Consider integrating with a distributed task queue system like Celery with Redis or RabbitMQ as the backend for horizontal scalability. This approach is beyond the scope of a simple code suggestion but involves evaluating and implementing a distributed system architecture.

Comment on lines +8 to +11
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Performance Issue: The use of a tuple for task representation within a heap can lead to performance issues when tasks have the same priority. Python's heapq module will attempt to compare the second element of the tuple (task_id_counter) if the priorities are equal, which is an unintended behavior and could potentially result in a TypeError if the second element is not comparable.
Fix: Implement a wrapper class for tasks that includes a comparison method. This ensures that tasks are compared based on priority alone, avoiding potential errors and ensuring consistent behavior when priorities are equal.
Code Suggestion:

class Task:
    def __init__(self, priority, task_id, description):
        self.priority = priority
        self.task_id = task_id
        self.description = description

    def __lt__(self, other):
        return self.priority < other.priority

class TaskManager:
    def __init__(self):
        self.tasks = []
        self.task_id_counter = 1

    def add_task(self, priority, description):
        task = Task(priority, self.task_id_counter, description)
        heapq.heappush(self.tasks, task)
        self.task_id_counter += 1


def get_next_task(self):
if self.tasks:
return heapq.heappop(self.tasks)
else:
return None

def display_tasks(self):
print("Current Tasks:")
for task in self.tasks:
print(f"Task ID: {task[1]}, Priority: {task[0]}, Description: {task[2]}")

# Example Usage
if __name__ == "__main__":
task_manager = TaskManager()

task_manager.add_task(2, "Implement feature A")
task_manager.add_task(1, "Fix bug in module B")
task_manager.add_task(3, "Write documentation")

task_manager.display_tasks()

next_task = task_manager.get_next_task()
if next_task:
print(f"Next Task: Priority {next_task[0]}, Description: {next_task[2]}")
else:
print("No tasks available.")
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