Contacts Database and Forms Template

Contacts Database and Forms Template

Mastering Contact Management with Flask: A Guide to the Contacts Database and Forms Template

Contacts Database and Forms Template
Author
: K0NxT3D

In this guide, we will explore a practical and effective Flask template that allows beginner to intermediate Python developers to manage contact information easily. The Contacts Database and Forms Template is designed to simplify the process of building a database-driven application using Flask, SQLite, and SQLAlchemy. Whether you are new to Flask or looking to streamline your existing projects, this template is an excellent starting point for your next app.

Introduction to Flask and SQLAlchemy

Flask is a lightweight Python web framework that helps developers build web applications quickly with minimal effort. SQLAlchemy is an ORM (Object-Relational Mapping) tool for Python, which allows developers to interact with databases using Python objects instead of raw SQL queries. In this template, we leverage Flask and SQLAlchemy to create a simple but powerful Contact Management System.

Key Features of the Contacts Database and Forms Template

  • Flask-based Web Application: Built with Flask, this template offers an easy-to-understand, scalable foundation for building dynamic web applications.
  • SQLite Integration: By default, this template uses SQLite, a lightweight database engine, perfect for development and small projects.
  • Forms for Data Entry: The application provides forms for adding, viewing, and editing contact information, making it highly user-friendly.
  • Internal and External File Management: Organize static files such as images and JavaScript files to keep your app structure neat.

Core Concepts and Structure of the Template

The application consists of several components that make it functional and user-friendly:

  1. Flask Setup and Configuration: The app is configured to run on port 32034 by default. The database connection is established using SQLite, ensuring that data can be stored locally in a file named default.db.
  2. The Contact Information Model: The core of this application is the ContactInfo model, defined using SQLAlchemy. This model includes fields for:
    • Name
    • Address
    • City
    • State
    • Zip Code
    • Phone
    • Email
  3. Database Operations: Using SQLAlchemy, this template performs basic CRUD operations:
    • Create: Users can add new contacts through a form.
    • Read: Contacts are displayed in a dropdown for viewing or editing.
    • Update: Contact information can be updated with new details.
  4. User Interface with Jinja Templates: The HTML content is dynamically generated using Jinja, Flask’s templating engine. This enables the app to display content such as contact details, forms, and menus based on user input.

Step-by-Step Walkthrough

1. Running the Application

The application starts by opening a browser window pointing to http://127.0.0.1:32034, allowing users to interact with the interface directly. It offers three main actions:

  • Enter Contact Information: A form to add new contact details.
  • View Contact Information: A dropdown menu to select a contact and view their details.
  • Edit Contact Information: Allows users to select and modify existing contact information.

2. Adding Contacts

The add_contacts route enables users to input their contact details through a user-friendly form. Upon submitting the form, the data is saved to the database, and the user is redirected to a success page that displays the entered information.

Example form fields include:

  • Full Name
  • Address
  • City
  • State
  • Zip Code
  • Phone
  • Email

3. Viewing Contacts

The view_contacts route allows users to select a contact from a dropdown menu and view their details. When a contact is selected, their information is displayed in a neat format, and clickable links are provided for phone numbers and email addresses.

4. Editing Contacts

The edit_contacts route allows users to update the details of an existing contact. The user selects a contact, modifies the information, and submits the updated details. The changes are then saved back to the database.

5. Exiting the Application

For developers testing or experimenting with this application, the exit_app route provides an option to shut down the Flask application gracefully with a delayed redirect.

Advantages for Python Beginners and Intermediate Developers

  • Beginner-Friendly: The template is simple enough for newcomers to Flask and Python to understand and build upon. It comes with detailed comments explaining each step of the process.
  • Database Integration Made Easy: The integration of SQLite and SQLAlchemy allows you to get started with databases without the complexity of more advanced systems like PostgreSQL or MySQL.
  • Extensibility: The structure is flexible, enabling you to add more functionality like user authentication, advanced search features, or exporting contact data to CSV or Excel formats.

How to Customize and Extend the Template

As a beginner or intermediate Python developer, you might want to extend this template to suit your specific needs. Here are a few ideas for customization:

  1. User Authentication: Integrate Flask-Login or Flask-Security to manage user accounts and restrict access to the contact management features.
  2. Enhanced Search Functionality: Add search features to allow users to filter contacts based on certain criteria (e.g., by name, city, or email).
  3. Exporting Data: Implement features to export the contact data into formats like CSV or Excel, allowing users to back up or share their contact lists.

Contacts Database and Forms Template – Included Files:

  • app.py
  • requirements.txt (For Python Module Dependencies)
  • base.html (HTML Template File)
  • default.css
  • Image Files
  • genreq.py *

* Custom Python script which generates a requirements.txt if pip should be problematic.
More Here…

Contacts Database and Forms Template Download:

The Contacts Database and Forms Template is a perfect starting point for beginner to intermediate Python developers looking to build a simple Flask application with database integration. It demonstrates essential concepts like database models, form handling, and template rendering, providing a solid foundation for further development. Whether you’re learning Flask or building a contact management app, this template is a versatile tool for your Python projects.

Explore it, customize it, and make it your own—this template is just the beginning of your web development journey!

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The Rise of AI-Generated Spam on Facebook

The Rise of AI-Generated Spam on Facebook: Current Issues and Trends

Over the past few days, Facebook has faced a notable increase in spam activity driven by AI-generated content. These posts, often featuring surreal or hyper-realistic images, are part of a coordinated effort by spammers to exploit the platform’s algorithms for financial gain. Here’s a breakdown of the situation and its implications:


What’s Happening?

  1. AI-Generated Images: Spam pages are flooding Facebook with AI-crafted images, ranging from bizarre art to visually stunning but nonsensical content. A notable example includes viral images of statues made from unusual materials, such as “Jesus made of shrimp”​.
  2. Amplification by Facebook Algorithms: These posts gain traction due to Facebook’s “Suggested for You” feature, which promotes posts based on engagement patterns rather than user preferences. When users interact with these posts—even unintentionally—the algorithm further boosts their visibility​.
  3. Monetary Motives: Many spam pages link to external ad-heavy or dropshipping sites in the comments, monetizing the engagement from these viral posts. Some pages even invest in Facebook ads to amplify their reach, complicating the platform’s efforts to detect and mitigate such content​.
  4. Global Scale: The spam campaigns are widespread, with some pages managing hundreds of millions of interactions collectively. This level of engagement highlights the challenge of moderating such content at scale​.

Facebook’s Response

Meta (Facebook’s parent company) has acknowledged the issue and pledged to improve transparency by labeling AI-generated content. This move comes after similar concerns about misinformation and malicious AI use on the platform. However, critics argue that Facebook’s reliance on automated moderation tools may not be enough to counter the evolving tactics of spammers​.


Broader Implications

  • Erosion of Trust: As AI-generated spam becomes more prevalent, users may find it increasingly difficult to discern authentic content from manipulated posts.
  • Algorithmic Loopholes: The incident underscores the potential vulnerabilities in content recommendation systems, which can inadvertently amplify harmful or deceptive material.
  • Economic and Security Risks: The monetization of these schemes often involves redirecting users to risky sites, posing both financial and cybersecurity threats​.

The current surge in spam ads on Facebook is primarily linked to bot farms and automation tools that exploit the platform for fake engagement. These bots are not only designed to spread irrelevant ads but also to generate fake clicks, skew ad analytics, and disrupt genuine user experiences. Recent incidents indicate that these ad bots are part of larger operations targeting platforms like Facebook, Instagram, and others.

Two categories of bots dominate Facebook spamming:

  1. Automated Bots: These are simpler systems designed to mass-produce accounts and post repetitive ads. Facebook’s AI can often detect and block these quickly, but the sheer volume still creates noise.
  2. Manual or Sophisticated Bots: These accounts mimic real user behavior, making them harder to detect. They are often used for more strategic ad campaigns, spreading disinformation or promoting scams.

Historically, operations like Boostgram and Instant-Fans.com have been known to utilize such bot networks, targeting users with fake engagement across multiple platforms, including Facebook. Meta (Facebook’s parent company) regularly takes legal action against such entities, but many adapt and persist​.

Additionally, bot farms often consist of thousands of fake accounts designed to interact with ads, affecting advertiser metrics and budgets. Facebook reports significant efforts in removing fake accounts, claiming millions blocked quarterly, but challenges remain with sophisticated bots bypassing detection​.

If you’re seeing increased spam, it might be part of a broader effort by these bot operators to exploit Facebook’s ad systems or test new evasion techniques. Users and advertisers are encouraged to report suspicious activity and remain cautious about ad engagement.


Bot farms are large-scale operations leveraging networks of automated programs to execute repetitive digital tasks for malicious purposes. These include manipulating financial markets, inflating ad metrics, and engaging in cyber fraud. Bot farms often consist of numerous servers, diverse IP address pools, and highly advanced scripts to evade detection, allowing them to operate at scale and with precision.

In financial markets, bots can exacerbate volatility by executing coordinated trades, such as artificial inflation schemes (pump-and-dump) or high-frequency trades to disrupt normal market behavior. These actions mislead investors, distort pricing mechanisms, and can destabilize entire markets, especially during periods of economic uncertainty. Such disruptions are not limited to legitimate trading but also extend to platforms reliant on algorithmic responses, creating widespread ripple effects.

Economically, these bot-driven disruptions cause substantial financial losses, costing industries billions annually. For example, fraudulent advertising metrics waste business resources while masking true engagement. High-profile operations like Methbot exploited hundreds of thousands of fake IP addresses, generating fraudulent ad revenue on a massive scale and undermining trust in digital advertising ecosystems.

Efforts to mitigate the impact of bot farms include deploying machine learning models to identify anomalous behavior, monitoring for IP spoofing, and implementing stronger authentication methods. However, as bot technology continues to evolve, combating their influence requires ongoing innovation, stricter regulations, and global collaboration to protect financial and digital ecosystems from systemic risks.


Current Events and Developments

  1. Meta’s AI Transparency Push: Meta has committed to labeling AI-generated images across its platforms, aiming to curtail the spread of manipulated content and improve user awareness​.
  2. Increased Monitoring Efforts: Researchers and watchdogs are ramping up analyses of such campaigns. For instance, studies by Stanford and Georgetown have documented hundreds of spam pages exploiting Facebook’s engagement-driven algorithms​.
  3. User Awareness Campaigns: Public advisories are being issued, encouraging users to avoid interacting with suspicious posts and report them to Facebook for moderation.

What You Can Do

  • Avoid Interactions: Refrain from liking, commenting, or sharing suspicious content.
  • Report Spam: Use Facebook’s reporting tools to flag AI-generated spam posts.
  • Stay Informed: Regularly update your knowledge of online scams and be cautious of external links, especially those posted in comments.

By understanding the tactics and implications of these campaigns, users can help reduce their impact while pushing platforms like Facebook to strengthen their moderation policies.

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Web scraping is the process of extracting data from websites, allowing users to gather and organize large amounts of information quickly. Image scrapers are specialized tools that focus on retrieving images from web pages. These scrapers can collect photos, icons, and other visual content across multiple sites, automating the process of downloading images. Built using languages like Python and PHP, image scrapers are efficient for creating custom image galleries or databases.

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The Omniverse Library – Knowledge For Life Volume I

Knowledge For Life Volume I

The Omniverse Library:
A diverse reading list from several topics.
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Bionic Backdrop Digital Video Screen Media

Bionic Backdrop

Bionic Backdrop Digital Video Screen Media – Events, Rock Shows, DJ, Performances of Any Kind.
New Features Include A Hidden Drop Down Menu
(Mouse Over or Tap In The Top Black Header)
With Casting Support from Desktop or Mobile.
Tested on Chromium (Solid) and Firefox(Not Recommended)
Lyrics Library is active and still Beta (Opens in new window).
Binary Output is Currently Disabled (Beta Only)

Bionic Home Page

FFmpeg Video and Photo Software

Time Capturing Photos From Multiple Cameras And Archiving Script

This is pretty basic and I like it that way.
Using ffmpeg to capture the integrated web cam on my laptop and my USB webcam plugged in and then creating an archive to store subsequent photos in.
Part of a bigger project.

#!/bin/bash
# Set date for file naming
date=$(date +"%Y-%m-%d_%H%M%S")
    # Take photo using Integrated Webcam
      ffmpeg -f v4l2 -video_size 1280x720 -i /dev/video0 -frames 1 int.$date.jpg

    # Take photo using USB Webcam
      ffmpeg -f v4l2 -video_size 1280x720 -i /dev/video1 -frames 1 usb.$date.jpg

    # Add all .jpg files to payload.zip
      zip payload.zip *.jpg

    # Remove all .jpg files now
      rm *.jpg

    # Set time between photos
      sleep 10

    # Exit and start over
./$(basename $0) && exit
BashKat Web Scraper

BashKat Web Scraping Utility Script

BashKat is pretty straight forward and really easy to use.
I made sure to add some “cute” to it with the emojis.
This bot will scrape from user input or a file using the wget function (example: urls.txt) and it’s Super Fun when using Proxychains.


#!/usr/bin/env bash
# BashKat Version 1.0.2
# K0NxT3D

# Variables
BotOptions="Url File Quit"

# Welcome Banner
clear
printf "✨ BashKat 1.0 ✨\nScrape Single URL/IP or Multiple From File.\n\n" && sleep 1

# Bot Options Menu
select option in $BotOptions; do

# Single URL Scrape
   if [ "$option" = "Url" ];
    then
      printf "URL To Scrape: "
       read scrapeurl
     mkdir -p data/
    wget -P data/ \
     -4 \
     -w 0 \
     -t 3 \
     -rkpN -e robots=off \
     --header="Accept: text/html" \
     --user-agent="BashKat/1.0 (BashKat 1.0 Web Scraper Utility +http://www.bashkat.bot/)" \
     --referer="http://www.bashkat.bot" \
     --random-wait \
     --recursive \
     --no-clobber \
     --page-requisites \
     --convert-links \
     --restrict-file-names=windows \
     --domains $scrapeurl \
     --no-parent \
         $scrapeurl

      printf "🏁Scrape Complete.\nHit Enter To Continue.👍"
       read anykey
./$(basename $0) && exit

  elif [ "$option" = "File" ];
   then
      printf "Path To File: "
       read filepath
     while IFS= read -r scrapeurl
      do
     mkdir -p data/
    wget -P data/ \
     -4 \
     -w 0 \
     -t 3 \
     -rkpN -e robots=off \
     --header="Accept: text/html" \
     --user-agent="BashKat/1.0 (BashKat 1.0 Web Scraper Utility +http://www.bashkat.bot/)" \
     --referer="http://www.bashkat.bot" \
     --random-wait \
     --recursive \
     --no-clobber \
     --page-requisites \
     --convert-links \
     --restrict-file-names=windows \
     --domains $scrapeurl \
     --no-parent \
         $scrapeurl 
     done < "$filepath"
      printf "🏁Scrape Complete.\nHit Enter To Continue.👍"
       read anykey
./$(basename $0) && exit

 elif [ "$option" = "Quit" ];
 then
   printf "Quitting🏳"
    sleep 1
     clear
      exit
# ERRORS
  else
   clear
    printf "❌"
    sleep 1
   ./$(basename $0) && exit
  fi
 exit
done
Paparazzi ScreenShot Bot

Paparazzi Screenshot Script (Bot)

Paparazzi: A basic Screenshot Utility (Bot) for collecting screenshots of IP addresses and or URLs.
This script requires a personal API key and you can get yours here: BrowShotAPI

#!/usr/bin/env bash
# Paparazzi 1.0 - K0NxT3D 2021
# Website ScreenShot Utility
# Bash: ./bot

# Variables
    BotOptions="Url File Quit"
    images="./images"

# Welcome Banner - Create Directories
    mkdir -p $images
    clear
    printf "Paparazzi 1.0 - K0NxT3D\n"
    sleep 1

# Bot Options Menu
    select option in $BotOptions; do

# Single URL/IP Scan
    if [ "$option" = "Url" ];
     then
      printf "IP/URL To Scan: "
    read url
        curl -L "https://api.browshot.com/api/v1/simple?url=$url&key=ENTER YOUR KEY HERE" -o $images/$url.png
      printf "Finished Scanning.\nHit Enter To Continue.."
    read anykey
./bot

# Multiple URL/IP Scan From File (example: urls.txt)
    elif [ "$option" = "File" ];
     then
      printf "Path To File: "
    read filepath
        while IFS= read -r url
        do
          curl -L "https://api.browshot.com/api/v1/simple?url=$url&key=ENTER YOUR KEY HERE" -o $images/$url.png
        done < "$filepath"
    printf "Finished Scanning.\nHit Enter To Continue.."
 read anykey
./bot

# Quitter!!!
    elif [ "$option" = "Quit" ];
     then
        printf "Quitting!"
    sleep 1
clear
exit

# ERRORS
    else
    clear
        printf ""
    sleep 1
   bash ./bot
fi
exit
done
Bash Scripting

Bash Scripting

Bash is a Unix Shell and Command Language which runs in the form of a file (myscript.sh) and issues commands to the machine(s) it’s running on or connected to. Bash Scripts can save countless hours of time editing files or performing operations, so it’s quite versatile and useful.

A simple Bash Script might look something similar to this:


#!/bin/bash
# Monitor Network Connections - K0NxT3D 2021
clear

# All Connections to File
# sudo netstat -atupen >> output.txt

# Established Connections To File
# sudo netstat -atnp | grep ESTA >> output.txt

# Live Monitoring No File
sudo watch -d -n3 "netstat -atnp | grep ESTA"

The use of the pound sign at the beginning and following text is called the “Shebang” and is critical to your script environment, while also being used alone to Comment lines out in the rest of the script.
The Shebang is only used at the beginning of the script.

Scripts can be run on Linux based operating systems as well as Windows, my examples here are exclusive to Linux.

Sometimes you need a very “Personal” script to edit particular data from one or more files and might end up with something more like this processing script which gives me an output of the ip or website currently connected to my machine.


#!/bin/bash
#netstat -a -c -tp (Run As Sudo For More Details)
clear
   date=$(date +"%m-%d-%Y_%H-%M")
   file="output.txt"
   ipo='^[0-9]+([.][0-9]+)?$'
   #file="$date-netstat.output"
  touch $file
  netstat -tp|awk '{print $5}' >> $file
sleep 10
     sed -i 's/:https//' $file
     sed -i 's/:http//' $file
     sed -i 's/servers)//' $file
     sed -i 's/Address//' $file
     sed -i 's/edge-msgr-latest-//' $file
     sed -i 's/edge-star-shv-01-//' $file
     sed -i 's/localhost:netbios-ssn//' $file
     sed -i '/^\s*$/d' $file
sleep 10
   while IFS= read -r ip
do
   ping -c 1 $ip &> /dev/null && echo $ip >> IPS.txt || echo Could Not Connect.
done < $file
   rm $file

This script simply removes lines of information I don’t need from the output file it generates and cleans up my data and the mess.

Sometimes, I just wanna mess with my dogs.
FOREVER!


#!/bin/bash
i=0
   until [ $i -gt 3 ]
do
   random=$(cat /dev/urandom | tr -dc '0-9' | fold -w 4 | head -n 1)
   ffplay -f lavfi -i "sine=frequency=$random:duration=1" -autoexit -nodisp
   ((i=i-1))
done

You can always read more information here on Wikipedia.