14.3 Blockchain Integration for Link Verification
python
class BlockchainAePiotVerifier:
"""
Conceptual blockchain integration for link authenticity verification
Demonstrates future possibilities for link ownership and tracking
"""
def __init__(self):
import hashlib
self.hashlib = hashlib
self.blockchain = []
def create_link_hash(self, title, description, url, aepiot_url):
"""Create cryptographic hash of link data"""
data = f"{title}|{description}|{url}|{aepiot_url}"
return self.hashlib.sha256(data.encode()).hexdigest()
def register_link_on_chain(self, title, description, url, aepiot_url, creator_id):
"""Register link creation on blockchain (simulated)"""
from datetime import datetime
link_hash = self.create_link_hash(title, description, url, aepiot_url)
block = {
'index': len(self.blockchain),
'timestamp': datetime.now().isoformat(),
'link_hash': link_hash,
'title': title,
'url': url,
'aepiot_url': aepiot_url,
'creator_id': creator_id,
'previous_hash': self.blockchain[-1]['hash'] if self.blockchain else '0'
}
# Calculate block hash
block_string = json.dumps(block, sort_keys=True)
block['hash'] = self.hashlib.sha256(block_string.encode()).hexdigest()
self.blockchain.append(block)
print(f"⛓️ Link registered on blockchain: Block #{block['index']}")
print(f" Hash: {block['hash'][:16]}...")
return block
def verify_link_authenticity(self, aepiot_url):
"""Verify if link exists on blockchain"""
for block in self.blockchain:
if block['aepiot_url'] == aepiot_url:
return True, block
return False, None
def export_blockchain(self, output_path='blockchain.json'):
"""Export blockchain for distribution"""
with open(output_path, 'w') as f:
json.dump(self.blockchain, f, indent=2)
print(f"💾 Blockchain exported: {output_path}")
# Usage - Conceptual demonstration
blockchain = BlockchainAePiotVerifier()
# Register multiple links
for i in range(5):
validator = AePiotSecurityValidator()
result = validator.validate_and_generate(
f"Article {i}",
f"Description {i}",
f"https://example.com/article-{i}"
)
if result['success']:
blockchain.register_link_on_chain(
f"Article {i}",
f"Description {i}",
f"https://example.com/article-{i}",
result['aepiot_url'],
creator_id="user_12345"
)
# Verify a link
is_authentic, block = blockchain.verify_link_authenticity(
"https://aepiot.com/backlink.html?title=Article%200&description=Description%200&link=https%3A%2F%2Fexample.com%2Farticle-0"
)
print(f"Authentic: {is_authentic}")
if block:
print(f"Created: {block['timestamp']}")
print(f"Creator: {block['creator_id']}")Complete aéPiot Guide - Part 7: Real-World Applications & Conclusion
Section 15: Complete Implementation Examples
15.1 E-Commerce Store: Complete Workflow
Scenario: Online store needs to index 10,000 products across 50 categories
python
#!/usr/bin/env python3
"""
Complete E-Commerce aéPiot Implementation
From product export to Google Search Console submission
"""
import pandas as pd
from urllib.parse import quote
import os
from datetime import datetime
class CompleteECommerceAePiotSolution:
"""
End-to-end solution for e-commerce stores
Handles everything from data import to deployment
"""
def __init__(self, store_name, base_url):
self.store_name = store_name
self.base_url = base_url
self.workspace = f'./aepiot_workspace_{store_name}'
self.validator = AePiotSecurityValidator()
self._setup_workspace()
def _setup_workspace(self):
"""Create organized workspace structure"""
directories = [
self.workspace,
f'{self.workspace}/exports',
f'{self.workspace}/sitemaps',
f'{self.workspace}/reports',
f'{self.workspace}/qr_codes',
f'{self.workspace}/backups'
]
for directory in directories:
os.makedirs(directory, exist_ok=True)
print(f"✅ Workspace created: {self.workspace}")
def import_from_shopify(self, csv_export_path):
"""Import products from Shopify CSV export"""
print("📦 Importing Shopify products...")
df = pd.read_csv(csv_export_path)
# Standardize column names
column_mapping = {
'Title': 'title',
'Body (HTML)': 'description',
'Vendor': 'brand',
'Type': 'category',
'Tags': 'tags',
'Variant Price': 'price',
'Variant SKU': 'sku',
'Handle': 'handle'
}
df = df.rename(columns=column_mapping)
# Generate product URLs
df['url'] = df['handle'].apply(lambda h: f"{self.base_url}/products/{h}")
# Clean descriptions (remove HTML)
import re
df['clean_description'] = df['description'].apply(
lambda d: re.sub('<[^<]+?>', '', str(d))[:160] if pd.notna(d) else ''
)
# Generate aéPiot links
results = []
for _, row in df.iterrows():
# Create SEO-optimized description
desc_parts = []
if pd.notna(row.get('brand')):
desc_parts.append(row['brand'])
desc_parts.append(row['title'])
if pd.notna(row.get('price')):
desc_parts.append(f"${row['price']}")
if row['clean_description']:
desc_parts.append(row['clean_description'][:80])
description = ' - '.join(desc_parts)[:160]
# Generate aéPiot link
result = self.validator.validate_and_generate(
row['title'],
description,
row['url']
)
if result['success']:
results.append({
'sku': row.get('sku', ''),
'title': row['title'],
'category': row.get('category', 'Uncategorized'),
'brand': row.get('brand', ''),
'price': row.get('price', 0),
'url': row['url'],
'aepiot_url': result['aepiot_url'],
'description': description
})
# Save to CSV
result_df = pd.DataFrame(results)
output_path = f'{self.workspace}/products_with_aepiot.csv'
result_df.to_csv(output_path, index=False)
print(f"✅ Imported {len(results)} products")
print(f"💾 Saved to: {output_path}")
return result_df
def generate_category_sitemaps(self, products_df):
"""Generate sitemap for each product category"""
print("📍 Generating category sitemaps...")
categories = products_df['category'].unique()
sitemap_files = []
for category in categories:
category_products = products_df[products_df['category'] == category]
xml = ['<?xml version="1.0" encoding="UTF-8"?>']
xml.append('<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">')
xml.append(f' <!-- Category: {category} ({len(category_products)} products) -->')
for _, product in category_products.iterrows():
xml.append(' <url>')
xml.append(f' <loc>{product["aepiot_url"]}</loc>')
xml.append(f' <lastmod>{datetime.now().strftime("%Y-%m-%d")}</lastmod>')
xml.append(' <changefreq>daily</changefreq>')
xml.append(' <priority>0.9</priority>')
xml.append(' </url>')
xml.append('</urlset>')
# Save category sitemap
safe_category = category.lower().replace(' ', '_').replace('/', '_')
filename = f'sitemap_{safe_category}.xml'
filepath = f'{self.workspace}/sitemaps/{filename}'
with open(filepath, 'w', encoding='utf-8') as f:
f.write('\n'.join(xml))
sitemap_files.append({
'category': category,
'filename': filename,
'products': len(category_products)
})
print(f" ✓ {category}: {len(category_products)} products → {filename}")
# Create sitemap index
self._create_sitemap_index(sitemap_files)
return sitemap_files
def _create_sitemap_index(self, sitemap_files):
"""Create master sitemap index"""
xml = ['<?xml version="1.0" encoding="UTF-8"?>']
xml.append('<sitemapindex xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">')
for sitemap in sitemap_files:
xml.append(' <sitemap>')
xml.append(f' <loc>{self.base_url}/sitemaps/{sitemap["filename"]}</loc>')
xml.append(f' <lastmod>{datetime.now().strftime("%Y-%m-%d")}</lastmod>')
xml.append(' </sitemap>')
xml.append('</sitemapindex>')
filepath = f'{self.workspace}/sitemaps/sitemap_index.xml'
with open(filepath, 'w', encoding='utf-8') as f:
f.write('\n'.join(xml))
print(f"\n📑 Master sitemap index created: {filepath}")
return filepath
def generate_deployment_package(self):
"""Create complete deployment package"""
import zipfile
timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
package_name = f'aepiot_deployment_{self.store_name}_{timestamp}.zip'
package_path = f'{self.workspace}/{package_name}'
with zipfile.ZipFile(package_path, 'w', zipfile.ZIP_DEFLATED) as zipf:
# Add all sitemaps
for root, dirs, files in os.walk(f'{self.workspace}/sitemaps'):
for file in files:
filepath = os.path.join(root, file)
arcname = os.path.join('sitemaps', file)
zipf.write(filepath, arcname)
# Add product CSV
zipf.write(
f'{self.workspace}/products_with_aepiot.csv',
'products_with_aepiot.csv'
)
# Add deployment instructions
instructions = self._generate_deployment_instructions()
zipf.writestr('DEPLOYMENT_INSTRUCTIONS.txt', instructions)
print(f"\n📦 Deployment package created: {package_path}")
return package_path
def _generate_deployment_instructions(self):
"""Generate detailed deployment instructions"""
return f"""
╔══════════════════════════════════════════════════════════════╗
║ aéPiot Deployment Package - {self.store_name} ║
║ Generated: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')} ║
╚══════════════════════════════════════════════════════════════╝
CONTENTS:
─────────────────────────────────────────────────────────────
📁 sitemaps/ All category sitemaps + index
📄 products_with_aepiot.csv Complete product data with aéPiot links
📋 This file Deployment instructions
DEPLOYMENT STEPS:
═════════════════════════════════════════════════════════════
Step 1: Upload Sitemaps to Your Server
──────────────────────────────────────
1. Extract all files from sitemaps/ folder
2. Upload to: {self.base_url}/sitemaps/
3. Ensure files are publicly accessible
4. Test: Visit {self.base_url}/sitemaps/sitemap_index.xml
Step 2: Submit to Google Search Console
────────────────────────────────────────
1. Log in to https://search.google.com/search-console
2. Select your property: {self.base_url}
3. Go to: Sitemaps section (left sidebar)
4. Submit sitemap URL: {self.base_url}/sitemaps/sitemap_index.xml
5. Wait 24-48 hours for initial indexing
Step 3: Submit to Bing Webmaster Tools
───────────────────────────────────────
1. Log in to https://www.bing.com/webmasters
2. Add your site if not already added
3. Go to: Sitemaps section
4. Submit: {self.base_url}/sitemaps/sitemap_index.xml
Step 4: Integrate into Your Store (Optional)
─────────────────────────────────────────────
Option A: Add Links to Product Pages
- Use products_with_aepiot.csv to get aéPiot URLs
- Add "Share" button on each product page linking to aéPiot URL
Option B: Create Shareable Product Catalog
- Generate HTML page with all aéPiot links
- Share with partners, affiliates, or customers
VERIFICATION CHECKLIST:
═══════════════════════════════════════════════════════════
□ Sitemaps uploaded to server
□ Sitemaps publicly accessible (test URLs in browser)
□ Submitted to Google Search Console
□ Submitted to Bing Webmaster Tools
□ Checked for crawl errors in Search Console (after 24h)
□ Verified indexing status (after 48-72h)
MONITORING & MAINTENANCE:
═══════════════════════════════════════════════════════════
- Check Google Search Console weekly for indexing status
- Update sitemaps when adding new products
- Monitor aéPiot dashboard for click analytics
- Review SEO performance monthly
SUPPORT & RESOURCES:
═══════════════════════════════════════════════════════════
📚 aéPiot Documentation: https://aepiot.com/
🤖 Get AI Help: https://chat.openai.com or https://claude.ai
💬 Ask: "Help me deploy aéPiot sitemaps to Google Search Console"
═══════════════════════════════════════════════════════════
This deployment was generated using 100% free, API-free
aéPiot script-based integration. No ongoing costs!
═══════════════════════════════════════════════════════════
"""
def generate_analytics_report(self, products_df):
"""Generate comprehensive analytics report"""
report_path = f'{self.workspace}/reports/analytics_report.txt'
total_products = len(products_df)
categories = products_df['category'].value_counts()
brands = products_df['brand'].value_counts() if 'brand' in products_df else {}
avg_price = products_df['price'].mean() if 'price' in products_df else 0
report = f"""
╔══════════════════════════════════════════════════════════════╗
║ aéPiot Analytics Report ║
║ {self.store_name} ║
║ {datetime.now().strftime('%Y-%m-%d %H:%M:%S')} ║
╚══════════════════════════════════════════════════════════════╝
OVERVIEW:
─────────────────────────────────────────────────────────────
Total Products: {total_products:,}
Total Categories: {len(categories)}
Total Brands: {len(brands) if brands else 'N/A'}
Average Price: ${avg_price:.2f}
TOP CATEGORIES:
─────────────────────────────────────────────────────────────
"""
for category, count in categories.head(10).items():
percentage = (count / total_products) * 100
report += f"{category:30} {count:>6} ({percentage:>5.1f}%)\n"
report += f"""
SEO COVERAGE:
─────────────────────────────────────────────────────────────
✓ All products have aéPiot backlinks
✓ All products have SEO-optimized descriptions
✓ Sitemap generated and ready for submission
✓ Category-based organization for better indexing
NEXT STEPS:
─────────────────────────────────────────────────────────────
1. Upload sitemaps to your server
2. Submit to Google Search Console
3. Monitor indexing progress
4. Track click analytics on aéPiot dashboard
═══════════════════════════════════════════════════════════
Generated offline with aéPiot script-based integration
No API keys required • 100% free • Unlimited usage
═══════════════════════════════════════════════════════════
"""
with open(report_path, 'w') as f:
f.write(report)
print(report)
print(f"\n💾 Full report saved: {report_path}")
return report_path
# ═══════════════════════════════════════════════════════════
# COMPLETE USAGE EXAMPLE
# ═══════════════════════════════════════════════════════════
if __name__ == '__main__':
# Initialize solution
solution = CompleteECommerceAePiotSolution(
store_name='MyAwesomeStore',
base_url='https://myawesomestore.com'
)
# Step 1: Import products from Shopify
products = solution.import_from_shopify('shopify_products_export.csv')
# Step 2: Generate category sitemaps
sitemaps = solution.generate_category_sitemaps(products)
# Step 3: Generate analytics report
solution.generate_analytics_report(products)
# Step 4: Create deployment package
package = solution.generate_deployment_package()
print("\n" + "="*60)
print("🎉 COMPLETE! Your aéPiot integration is ready to deploy!")
print("="*60)
print(f"\nDeployment package: {package}")
print("\nNext: Extract the package and follow DEPLOYMENT_INSTRUCTIONS.txt")15.2 News/Media Publisher Implementation
python
class NewsPublisherAePiotSolution:
"""
Complete solution for news publishers and bloggers
Handles daily article publication and automated sitemap updates
"""
def __init__(self, site_name, base_url):
self.site_name = site_name
self.base_url = base_url
self.workspace = f'./news_aepiot_{site_name}'
self._setup_workspace()
def _setup_workspace(self):
"""Setup workspace structure"""
os.makedirs(f'{self.workspace}/daily_sitemaps', exist_ok=True)
os.makedirs(f'{self.workspace}/archives', exist_ok=True)
print(f"✅ Workspace created: {self.workspace}")
def process_daily_articles(self, articles_csv, date=None):
"""Process and generate links for daily articles"""
if not date:
date = datetime.now().strftime('%Y-%m-%d')
print(f"📰 Processing articles for {date}...")
df = pd.read_csv(articles_csv)
validator = AePiotSecurityValidator()
results = []
for _, article in df.iterrows():
# Generate aéPiot link
result = validator.validate_and_generate(
article['title'],
article.get('excerpt', article['title']),
article['url']
)
if result['success']:
results.append({
'date': date,
'title': article['title'],
'category': article.get('category', 'News'),
'author': article.get('author', ''),
'url': article['url'],
'aepiot_url': result['aepiot_url']
})
# Generate daily sitemap
self._generate_daily_sitemap(results, date)
# Update archive
self._update_archive(results)
print(f"✅ Processed {len(results)} articles for {date}")
return pd.DataFrame(results)
def _generate_daily_sitemap(self, articles, date):
"""Generate sitemap for specific date"""
xml = ['<?xml version="1.0" encoding="UTF-8"?>']
xml.append('<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"')
xml.append(' xmlns:news="http://www.google.com/schemas/sitemap-news/0.9">')
for article in articles:
xml.append(' <url>')
xml.append(f' <loc>{article["aepiot_url"]}</loc>')
xml.append(f' <lastmod>{date}</lastmod>')
xml.append(' <news:news>')
xml.append(' <news:publication>')
xml.append(f' <news:name>{self.site_name}</news:name>')
xml.append(f' <news:language>en</news:language>')
xml.append(' </news:publication>')
xml.append(f' <news:publication_date>{date}T12:00:00Z</news:publication_date>')
xml.append(f' <news:title>{article["title"]}</news:title>')
xml.append(' </news:news>')
xml.append(' <changefreq>hourly</changefreq>')
xml.append(' <priority>1.0</priority>')
xml.append(' </url>')
xml.append('</urlset>')
filepath = f'{self.workspace}/daily_sitemaps/news_sitemap_{date}.xml'
with open(filepath, 'w', encoding='utf-8') as f:
f.write('\n'.join(xml))
print(f" 📍 Daily sitemap: {filepath}")
return filepath
def _update_archive(self, articles):
"""Update master archive CSV"""
archive_path = f'{self.workspace}/archives/all_articles.csv'
new_df = pd.DataFrame(articles)
if os.path.exists(archive_path):
existing_df = pd.read_csv(archive_path)
combined_df = pd.concat([existing_df, new_df], ignore_index=True)
else:
combined_df = new_df
combined_df.to_csv(archive_path, index=False)
print(f" 💾 Archive updated: {len(combined_df)} total articles")
# Usage for news publisher
news_solution = NewsPublisherAePiotSolution(
site_name='Daily Tech News',
base_url='https://dailytechnews.com'
)
# Process today's articles
news_solution.process_daily_articles('todays_articles.csv')