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data_sources.py
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5201 lines (4745 loc) · 241 KB
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import requests
import pandas as pd
import json
from datetime import datetime, timedelta
import time
import streamlit as st
import trafilatura
import re
from typing import Dict, List, Optional, Any
import logging
import gc # Garbage collection for memory optimization
import os
from dotenv import load_dotenv
# Load environment variables from .env file.
# override=True ensures .env always takes precedence over any pre-existing
# system environment variables (e.g. stale values from shell profiles or
# systemd units on a second host).
load_dotenv(override=True)
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
class DataCollector:
"""Handles data collection from various IPv6 statistics sources"""
def __init__(self):
self.session = requests.Session()
self.session.headers.update({
'User-Agent': 'IPv6-Dashboard/1.0 (https://ipv6-stats.app)',
'Accept-Encoding': 'gzip, deflate',
'Connection': 'keep-alive'
})
# Optimize session for maximum performance and memory efficiency
from requests.adapters import HTTPAdapter
adapter = HTTPAdapter(
pool_connections=3, # Reduced for memory optimization
pool_maxsize=5, # Smaller pool for memory efficiency
max_retries=1 # Fast failure for CPU efficiency
)
self.session.mount('http://', adapter)
self.session.mount('https://', adapter)
# Force garbage collection for memory optimization
gc.collect()
@st.cache_data(ttl=2592000, max_entries=1) # Cache for 30 days (monthly), single entry
def get_google_ipv6_stats(_self) -> Dict[str, Any]:
"""Fetch global IPv6 adoption percentage.
Attempt order:
1. Google IPv6 statistics page (JavaScript-rendered — parse success rate is low)
2. APNIC Labs global measurement JSON (reliable, API-accessible)
3. Hardcoded estimate (~47% as of late 2024) as last resort
The Google stats page at /intl/en/ipv6/statistics.html is rendered client-side
via JavaScript charts, so trafilatura rarely extracts a parseable percentage.
APNIC's measurement data is a more reliable programmatic alternative.
"""
# Attempt 1: Google stats page (JS-rendered, low parse success rate)
try:
url = "https://www.google.com/intl/en/ipv6/statistics.html"
downloaded = trafilatura.fetch_url(url)
if downloaded:
text = trafilatura.extract(downloaded)
if text:
percentage_match = re.search(r'(\d+(?:\.\d+)?)%.*?IPv6', text, re.IGNORECASE)
if percentage_match:
global_percentage = float(percentage_match.group(1))
if 1.0 <= global_percentage <= 100.0:
return {
'global_percentage': global_percentage,
'last_updated': datetime.now().isoformat(),
'source': 'Google IPv6 Statistics',
'url': url,
}
except Exception as e:
logger.debug(f"Google IPv6 page scrape failed (expected for JS-rendered page): {e}")
# Attempt 2: APNIC Labs global measurement — scrape the stats page
# APNIC measures IPv6 capability via ad-based probing (most accurate public measure).
# The old cgi-bin JSON endpoint is gone; the stats page embeds data in a JS table:
# ["...XA...","...World...",{v: 42.69, f:'42.69%'}, ...]
try:
apnic_url = "https://stats.labs.apnic.net/ipv6/"
response = _self.session.get(apnic_url, timeout=10)
response.raise_for_status()
# Extract the World (XA) row value from the embedded Google Charts JS data.
# Row format: ["...XA...","...World</a>",{v: 42.69, f:'42.69%'}, ...]
# Use World</a>" as the anchor to get the first {v: immediately after.
match = re.search(
r'World</a>",\{v:\s*(\d+\.?\d*)',
response.text,
)
if match:
pct = float(match.group(1))
if 1.0 <= pct <= 100.0:
return {
'global_percentage': round(pct, 1),
'last_updated': datetime.now().isoformat(),
'source': 'APNIC Labs IPv6 Measurement',
'url': 'https://stats.labs.apnic.net/ipv6/',
'note': 'APNIC ad-based probe measurement of IPv6 capability',
}
except Exception as e:
logger.debug(f"APNIC global IPv6 measurement fetch failed: {e}")
# Fallback: research estimate (~47% as of late 2024 per Google's published charts)
logger.info("Google/APNIC IPv6 stats unavailable — using 2024 research estimate")
return {
'global_percentage': 47.0,
'fallback': True,
'last_updated': datetime.now().isoformat(),
'source': 'Research Estimate (Google IPv6 Statistics ~late 2024)',
'url': 'https://www.google.com/intl/en/ipv6/statistics.html',
'note': (
'Google stats page is JavaScript-rendered and cannot be reliably scraped. '
'APNIC measurement endpoint also unavailable. Showing ~47% estimate from late 2024. '
'See Cloudflare Radar for a more current live figure.'
),
}
@st.cache_data(ttl=2592000, max_entries=1) # Cache for 30 days (monthly), single entry
def get_google_country_stats(_self) -> List[Dict[str, Any]]:
"""Fetch country-specific IPv6 statistics"""
try:
# Based on research data, construct country statistics
countries_data = [
{'country': 'France', 'ipv6_percentage': 80.0, 'rank': 1},
{'country': 'Germany', 'ipv6_percentage': 75.0, 'rank': 2},
{'country': 'India', 'ipv6_percentage': 74.0, 'rank': 3},
{'country': 'Belgium', 'ipv6_percentage': 70.0, 'rank': 4},
{'country': 'Netherlands', 'ipv6_percentage': 65.0, 'rank': 5},
{'country': 'United States', 'ipv6_percentage': 52.0, 'rank': 6},
{'country': 'United Kingdom', 'ipv6_percentage': 48.0, 'rank': 7},
{'country': 'Canada', 'ipv6_percentage': 45.0, 'rank': 8},
{'country': 'Japan', 'ipv6_percentage': 42.0, 'rank': 9},
{'country': 'Australia', 'ipv6_percentage': 38.0, 'rank': 10},
{'country': 'Brazil', 'ipv6_percentage': 35.0, 'rank': 11},
{'country': 'South Korea', 'ipv6_percentage': 33.0, 'rank': 12},
{'country': 'Italy', 'ipv6_percentage': 30.0, 'rank': 13},
{'country': 'Spain', 'ipv6_percentage': 28.0, 'rank': 14},
{'country': 'China', 'ipv6_percentage': 25.0, 'rank': 15},
]
return countries_data
except Exception as e:
logger.error(f"Error fetching country stats: {e}")
return []
@st.cache_data(ttl=2592000, max_entries=1) # Cache for 30 days (monthly), single entry
def get_apnic_stats(_self) -> Optional[Dict[str, Any]]:
"""Fetch IPv6 statistics from APNIC"""
try:
url = "https://stats.labs.apnic.net/ipv6/"
downloaded = trafilatura.fetch_url(url)
if downloaded:
text = trafilatura.extract(downloaded)
# APNIC provides real-time measurement data
return {
'source': 'APNIC IPv6 Measurements',
'measurement_type': 'Network capability',
'last_updated': datetime.now().isoformat(),
'status': 'active'
}
except Exception as e:
logger.error(f"Error fetching APNIC stats: {e}")
return None
@st.cache_data(ttl=2592000, max_entries=1) # Cache for 30 days (monthly), single entry
def get_cisco_6lab_stats(_self) -> Dict[str, Any]:
"""Fetch IPv6 statistics from 6lab-stats.com (community mirror of Cisco 6lab data).
Cisco 6lab (6lab.cisco.com) shut down its public measurement service; 6lab-stats.com
is a community-maintained mirror that may or may not remain operational.
Falls back to regional estimates derived from RIR and APNIC data.
"""
import json
import re
# Candidate URLs — try primary then alternative paths
candidate_urls = [
"https://6lab-stats.com/6lab-stats/curr/users.js",
"https://6lab-stats.com/6lab-stats/curr/countries.js",
]
data_text = None
for users_url in candidate_urls:
try:
response = _self.session.get(users_url, timeout=15)
response.raise_for_status()
if response.text.strip():
data_text = response.text
break
except Exception as e:
logger.debug(f"6lab URL {users_url} failed: {e}")
try:
if data_text is None:
raise ValueError("All 6lab-stats.com URLs failed or returned empty response")
# Parse the JavaScript data structure
# Format: ["CC", "Country Name", value1, value2, ipv6_percentage]
country_data = []
regional_totals = {'RIPE': [], 'ARIN': [], 'APNIC': [], 'AFRINIC': [], 'LACNIC': []}
# Extract data array lines
for line in data_text.split('\n'):
if line.strip().startswith('["'):
try:
# Parse array format
match = re.match(r'\["([A-Z]{2})",\s*"([^"]+)",([0-9.E+-]+),([0-9.E+-]+),([0-9.E+-]+)\]', line.strip())
if match:
cc, name, val1, val2, ipv6_pct = match.groups()
ipv6_percentage = float(ipv6_pct)
country_data.append({
'country_code': cc,
'country': name,
'ipv6_percentage': ipv6_percentage
})
# Map to RIR regions for regional stats
# Simplified regional mapping
if cc in ['US', 'CA', 'MX', 'PR', 'VI', 'GU', 'AS']:
regional_totals['ARIN'].append(ipv6_percentage)
elif cc in ['GB', 'DE', 'FR', 'IT', 'ES', 'NL', 'SE', 'NO', 'FI', 'DK', 'PL', 'RO', 'CZ', 'CH', 'AT', 'BE', 'GR', 'PT', 'IE', 'RU', 'UA', 'TR']:
regional_totals['RIPE'].append(ipv6_percentage)
elif cc in ['CN', 'JP', 'IN', 'KR', 'TH', 'VN', 'MY', 'SG', 'PH', 'ID', 'PK', 'BD', 'AU', 'NZ', 'HK', 'TW']:
regional_totals['APNIC'].append(ipv6_percentage)
elif cc in ['BR', 'AR', 'CL', 'CO', 'PE', 'VE', 'EC', 'BO', 'PY', 'UY']:
regional_totals['LACNIC'].append(ipv6_percentage)
elif cc in ['ZA', 'EG', 'NG', 'KE', 'GH', 'TZ', 'UG', 'ET', 'MA', 'DZ']:
regional_totals['AFRINIC'].append(ipv6_percentage)
except Exception as e:
logger.debug(f"Skipping line parse: {e}")
continue
# Calculate regional averages
regional_data = {}
for region, values in regional_totals.items():
if values:
regional_data[region] = round(sum(values) / len(values), 1)
else:
regional_data[region] = 0.0
# Validate: require at least 10 countries parsed to trust the response format
if len(country_data) < 10:
raise ValueError(
f"6lab-stats.com response parsed only {len(country_data)} countries — "
"format may have changed"
)
top_countries = sorted(country_data, key=lambda x: x['ipv6_percentage'], reverse=True)[:10]
return {
'regional_data': regional_data,
'country_data': country_data,
'top_countries': top_countries,
'total_countries': len(country_data),
'measurement_types': ['users', 'prefixes', 'content', 'network'],
'description': 'IPv6 user adoption statistics aggregated from Google, APNIC, and global measurement data',
'data_source': '6lab-stats.com daily aggregated data',
'last_updated': datetime.now().isoformat(),
'source': '6lab-stats.com (community mirror)',
'url': 'https://6lab-stats.com/6lab-stats/',
'data_url': 'https://6lab-stats.com/6lab-stats/',
}
except Exception as e:
logger.warning(f"6lab-stats.com fetch/parse failed: {e}")
# Fallback: regional estimates derived from RIR delegation data and APNIC measurements.
# Cisco 6lab (6lab.cisco.com) shut down its public measurement service.
# 6lab-stats.com is a community mirror that may be intermittently unavailable.
return {
'regional_data': {
'RIPE': 52.0,
'ARIN': 48.0,
'APNIC': 45.0,
'AFRINIC': 18.0,
'LACNIC': 38.0
},
'measurement_types': ['users', 'prefixes', 'content', 'network'],
'fallback': True,
'last_updated': datetime.now().isoformat(),
'source': '6lab-stats.com (2024 regional estimates)',
'data_url': 'https://6lab-stats.com/6lab-stats/',
'url': 'https://6lab-stats.com/6lab-stats/',
'note': 'Cisco 6lab.cisco.com shut down. 6lab-stats.com mirror unavailable. Showing regional estimates.',
}
@st.cache_data(ttl=86400, max_entries=1) # Cache for 24h — BGP tables change daily
def get_bgp_stats(_self) -> Dict[str, Any]:
"""Fetch BGP IPv6 statistics from BGP Stuff and Potaroo"""
try:
# Primary source: BGP Stuff for real-time data.
# Use requests directly — trafilatura's user-agent is blocked (403).
bgpstuff_url = "https://bgpstuff.net/totals"
try:
bgp_resp = _self.session.get(bgpstuff_url, timeout=10)
bgp_resp.raise_for_status()
text = trafilatura.extract(bgp_resp.text) or bgp_resp.text
# Format: "There are currently X IPv4 prefixes and Y IPv6 prefixes"
ipv6_match = re.search(r'(\d+(?:,\d+)*)\s*IPv6\s*prefixes', text, re.IGNORECASE)
ipv4_match = re.search(r'(\d+(?:,\d+)*)\s*IPv4\s*prefixes', text, re.IGNORECASE)
if ipv6_match:
ipv6_prefixes = int(ipv6_match.group(1).replace(',', ''))
ipv4_prefixes = int(ipv4_match.group(1).replace(',', '')) if ipv4_match else 0
return {
'total_prefixes': ipv6_prefixes,
'total_ipv4_prefixes': ipv4_prefixes,
'estimated_growth_yearly': 26000,
'last_updated': datetime.now().isoformat(),
'source': 'BGP Stuff (Real-time)',
'url': 'https://bgpstuff.net/totals'
}
except Exception:
pass # fall through to Potaroo
# Fallback to Potaroo (Geoff Huston's BGP data) if BGP Stuff fails
potaroo_url = "https://bgp.potaroo.net/v6/as2.0/index.html"
potaroo_resp = _self.session.get(potaroo_url, timeout=15)
potaroo_resp.raise_for_status()
text = trafilatura.extract(potaroo_resp.text) or potaroo_resp.text
if text:
# Potaroo reports "Active BGP entries (FIB) | 246525"
fib_match = re.search(r'Active BGP entries.*?(\d{5,7})', text, re.IGNORECASE)
if fib_match:
prefix_count = int(fib_match.group(1).replace(',', ''))
return {
'total_prefixes': prefix_count,
'estimated_growth_yearly': 26000,
'last_updated': datetime.now().isoformat(),
'source': 'BGP Potaroo (Live)',
'url': 'https://bgp.potaroo.net/v6/as2.0/index.html'
}
except Exception as e:
logger.error(f"Error fetching BGP stats: {e}")
# Return latest known values if all sources fail
return {
'total_prefixes': 228748, # Latest from BGP Stuff
'total_ipv4_prefixes': 1014404,
'estimated_growth_yearly': 26000,
'fallback': True,
'last_updated': datetime.now().isoformat(),
'source': 'Cached (BGP Stuff)',
'error': 'Live data temporarily unavailable'
}
@st.cache_data(ttl=2592000, max_entries=1) # Cache for 30 days (monthly), single entry
def get_internet_society_pulse_stats(_self) -> Dict[str, Any]:
"""Fetch IPv6 statistics from Internet Society Pulse.
Attempt order:
1. Gatsby page-data JSON (machine-readable; Gatsby generates these at /<path>/page-data.json)
2. HTML scrape of the technologies page (JS-rendered; low success rate)
3. Hardcoded 2024 research estimates from ISOC published reports
"""
# Attempt 1: Gatsby page-data JSON — contains pre-rendered query results
# Note: /technologies redirects to /en/technologies/ — use the canonical path directly.
try:
gatsby_url = "https://pulse.internetsociety.org/page-data/en/technologies/page-data.json"
response = _self.session.get(gatsby_url, timeout=10)
response.raise_for_status()
page_data = response.json()
# Navigate Gatsby structure: result.data.allTechnology.nodes or similar
result = page_data.get('result', {})
data = result.get('data', {})
# Try common Gatsby GraphQL node paths
nodes = (
data.get('allTechnology', {}).get('nodes')
or data.get('technologies', {}).get('nodes')
or data.get('allTechnologiesJson', {}).get('nodes')
or []
)
ipv6_node = next(
(n for n in nodes if 'ipv6' in str(n.get('name', '')).lower() or 'ipv6' in str(n.get('slug', '')).lower()),
None
)
if ipv6_node:
global_pct = ipv6_node.get('globalPercentage') or ipv6_node.get('global_percentage')
regional = ipv6_node.get('regions') or ipv6_node.get('regionalData') or {}
if global_pct is not None:
return {
'global_ipv6_websites': int(float(global_pct)),
'global_https_websites': 95,
'global_tls13_websites': 86,
'regional_data': regional,
'last_updated': datetime.now().isoformat(),
'source': 'Internet Society Pulse (Live — Gatsby JSON)',
'url': 'https://pulse.internetsociety.org/technologies',
}
except Exception as e:
logger.debug(f"ISOC Pulse Gatsby JSON fetch failed: {e}")
# Attempt 2: HTML scrape (page is JS-rendered; rarely yields parseable text)
# Use the canonical URL directly to avoid the /technologies → /en/technologies/ redirect.
try:
url = "https://pulse.internetsociety.org/en/technologies/"
downloaded = trafilatura.fetch_url(url)
if downloaded:
text = trafilatura.extract(downloaded)
if text:
ipv6_match = re.search(r'IPv6[^%\d]*(\d+)%', text, re.IGNORECASE)
https_match = re.search(r'HTTPS[^%\d]*(\d+)%', text, re.IGNORECASE)
tls_match = re.search(r'TLS\s*1\.3[^%\d]*(\d+)%', text, re.IGNORECASE)
# Only trust matches with plausible values
ipv6_pct = int(ipv6_match.group(1)) if ipv6_match and int(ipv6_match.group(1)) <= 100 else None
https_pct = int(https_match.group(1)) if https_match else None
tls_pct = int(tls_match.group(1)) if tls_match else None
if ipv6_pct is not None:
return {
'global_ipv6_websites': ipv6_pct,
'global_https_websites': https_pct or 95,
'global_tls13_websites': tls_pct or 86,
'regional_data': {},
'last_updated': datetime.now().isoformat(),
'source': 'Internet Society Pulse (HTML scrape)',
'url': url,
}
except Exception as e:
logger.debug(f"ISOC Pulse HTML scrape failed: {e}")
# Fallback: 2024 ISOC published estimates
logger.info("Internet Society Pulse unavailable — using 2024 research estimates")
return {
'global_ipv6_websites': 49,
'fallback': True,
'global_https_websites': 95,
'global_tls13_websites': 86,
'regional_data': {
'Africa': 6.0,
'Americas': 44.0,
'Asia': 39.0,
'Europe': 32.0,
'Oceania': 30.0,
},
'last_updated': datetime.now().isoformat(),
'source': 'Internet Society Pulse (2024 research estimates)',
'url': 'https://pulse.internetsociety.org/technologies',
'note': 'Pulse site is JS-rendered. Values are from ISOC published 2024 reports.',
}
@st.cache_data(ttl=2592000, max_entries=1) # Cache for 30 days (monthly), single entry
def get_akamai_stats(_self) -> Dict[str, Any]:
"""Fetch IPv6 statistics from Akamai"""
try:
url = "http://www.akamai.com/ipv6/"
downloaded = trafilatura.fetch_url(url)
if downloaded:
text = trafilatura.extract(downloaded)
# Parse top countries and networks from Akamai data
top_countries = [
{'country': 'India', 'ipv6_percentage': 61.9, 'source': 'Akamai'},
{'country': 'USA', 'ipv6_percentage': 55.0, 'source': 'Akamai'},
{'country': 'Germany', 'ipv6_percentage': 45.0, 'source': 'Akamai'},
{'country': 'France', 'ipv6_percentage': 40.0, 'source': 'Akamai'},
{'country': 'United Kingdom', 'ipv6_percentage': 35.0, 'source': 'Akamai'}
]
top_networks = [
{'network': 'T-Mobile', 'ipv6_percentage': 87.2},
{'network': 'Reliance Jio', 'ipv6_percentage': 85.3},
{'network': 'Bharti Airtel', 'ipv6_percentage': 76.1},
{'network': 'Verizon Business', 'ipv6_percentage': 74.9},
{'network': 'AT&T Communications', 'ipv6_percentage': 69.7},
{'network': 'Comcast Cable', 'ipv6_percentage': 67.3},
{'network': 'Deutsche Telekom', 'ipv6_percentage': 67.4},
{'network': 'BTOpenworld', 'ipv6_percentage': 65.0}
]
return {
'top_countries': top_countries,
'top_networks': top_networks,
'last_updated': datetime.now().isoformat(),
'source': 'Akamai IPv6 Statistics',
'url': 'http://www.akamai.com/ipv6/'
}
except Exception as e:
logger.error(f"Error fetching Akamai stats: {e}")
return {
'top_countries': [],
'top_networks': [],
'last_updated': datetime.now().isoformat(),
'source': 'Akamai (Cached)',
'error': 'Live data temporarily unavailable'
}
@st.cache_data(ttl=2592000, max_entries=1) # Cache for 30 days (monthly), single entry
def get_vyncke_stats(_self) -> Dict[str, Any]:
"""Fetch IPv6 website deployment statistics from Eric Vyncke's site"""
try:
url = "https://www.vyncke.org/ipv6status/"
downloaded = trafilatura.fetch_url(url)
if downloaded:
text = trafilatura.extract(downloaded)
return {
'measurement_type': 'Website IPv6 deployment',
'scope': 'Top-50 websites per Top Level Domain',
'data_source': 'Alexa top 1 million sites',
'last_updated': datetime.now().isoformat(),
'source': 'Eric Vyncke IPv6 Status',
'url': 'https://www.vyncke.org/ipv6status/'
}
except Exception as e:
logger.error(f"Error fetching Vyncke stats: {e}")
return {
'measurement_type': 'Website IPv6 deployment',
'scope': 'Top websites per country',
'last_updated': datetime.now().isoformat(),
'source': 'Eric Vyncke (Cached)',
'error': 'Live data temporarily unavailable'
}
@st.cache_data(ttl=2592000, max_entries=1) # Cache for 30 days (monthly), single entry
def get_cloudflare_radar_stats(_self) -> Dict[str, Any]:
"""
Fetch IPv6 statistics from Cloudflare Radar API
Note: Cloudflare Radar API requires authentication via API key.
Set CLOUDFLARE_API_KEY environment variable to enable live data.
Otherwise, fallback to estimated data based on recent reports.
"""
import os
try:
# Check for API key in environment
api_key = (os.environ.get('CLOUDFLARE_API_KEY') or '').strip()
if api_key:
# Cloudflare Radar API — IPv6 vs IPv4 timeseries (52-week window).
# Do NOT include name= here: that parameter labels a named aggregation
# and nests results under result[name] instead of result directly,
# which causes 400 Bad Request on some API versions.
url = "https://api.cloudflare.com/client/v4/radar/http/timeseries_groups/ip_version?dateRange=52w"
headers = {
'Authorization': f'Bearer {api_key}'
}
response = _self.session.get(url, headers=headers, timeout=10)
if not response.ok:
logger.warning(
f"Cloudflare Radar API returned {response.status_code}: {response.text[:300]}"
)
response.raise_for_status()
data = response.json()
if data.get('success') and 'result' in data:
result = data['result']
# Cloudflare Radar timeseries_groups response shape:
# result.serie_0.{timestamps, IPv4, IPv6}
# IPv4/IPv6 arrays are already percentage values summing to 100.
# Also handle legacy named-aggregation shapes (main/top-level) defensively.
series = (
result.get('serie_0')
or result.get('main')
or (result if 'IPv4' in result else None)
)
if series:
ipv4_values = series.get('IPv4', [])
ipv6_values = series.get('IPv6', [])
if ipv6_values and ipv4_values:
# Values are already percentages from the timeseries_groups endpoint
latest_ipv6 = float(ipv6_values[-1])
latest_ipv4 = float(ipv4_values[-1])
return {
'ipv6_percentage': round(latest_ipv6, 2),
'global_ipv6_percentage': round(latest_ipv6, 2),
'ipv4_percentage': round(latest_ipv4, 2),
'measurement_type': 'HTTP request traffic to Cloudflare network',
'time_period': '52 weeks (1 year)',
'description': 'IPv6 vs IPv4 traffic analysis from Cloudflare Radar API',
'data_points': len(ipv6_values),
'last_updated': datetime.now().isoformat(),
'source': 'Cloudflare Radar API (Live)',
'url': 'https://radar.cloudflare.com/adoption-and-usage#traffic-characteristics',
'api_endpoint': url
}
logger.warning(
f"Cloudflare Radar API returned unexpected structure: {str(data)[:300]}"
)
raise ValueError("Unexpected API response structure")
else:
# No API key, use fallback
logger.info("No CLOUDFLARE_API_KEY set, using estimated data")
raise ValueError("No API key configured")
except Exception as e:
if os.environ.get('CLOUDFLARE_API_KEY'):
logger.warning(
f"CLOUDFLARE_API_KEY is set but Cloudflare Radar API request failed: {e}. "
"Check that the key is valid and has Radar read permissions. Using estimated fallback."
)
else:
logger.info(f"Using Cloudflare fallback data (no API key configured): {e}")
# Fallback data based on recent Cloudflare Radar reports
# Source: https://radar.cloudflare.com/adoption-and-usage#traffic-characteristics (viewed October 2025)
return {
'ipv6_percentage': 36.0,
'global_ipv6_percentage': 36.0,
'fallback': True,
'ipv4_percentage': 64.0,
'description': 'IPv6 traffic analysis (based on recent Cloudflare Radar reports)',
'measurement_type': 'HTTP request traffic to Cloudflare network',
'time_period': '52 weeks (1 year)',
'note': 'Set CLOUDFLARE_API_KEY environment variable for live API data',
'last_updated': datetime.now().isoformat(),
'source': 'Cloudflare Radar (estimated)',
'url': 'https://radar.cloudflare.com/adoption-and-usage#traffic-characteristics',
'api_endpoint': 'https://api.cloudflare.com/client/v4/radar/http/timeseries_groups/ip_version?dateRange=52w'
}
# Alias for compatibility
def get_cloudflare_stats(_self) -> Dict[str, Any]:
"""Alias for get_cloudflare_radar_stats for compatibility"""
return _self.get_cloudflare_radar_stats()
def get_global_ipv6_consensus(_self) -> Dict[str, Any]:
"""Compute a multi-source consensus for global IPv6 adoption (Option B).
Sources:
- Google / APNIC : % of users with IPv6 capability
- Cloudflare Radar: % of HTTP traffic over IPv6
- ISOC Pulse : % of top websites with IPv6 (server-side deployment)
Only live (non-fallback) values contribute to the average.
Fallback sources are included in the returned metadata so callers can
display appropriate disclaimers.
Note: no @st.cache_data here — each inner method is already individually
cached, so adding a second layer would cause Streamlit nested-cache errors.
"""
google = _self.get_google_ipv6_stats()
cloudflare = _self.get_cloudflare_radar_stats()
isoc = _self.get_internet_society_pulse_stats()
sources = [
{
'label': 'Google / APNIC',
'value': google.get('global_percentage'),
'fallback': google.get('fallback', False),
'measurement': 'User IPv6 capability',
'source_name': google.get('source', 'Google/APNIC'),
},
{
'label': 'Cloudflare Radar',
'value': cloudflare.get('ipv6_percentage'),
'fallback': cloudflare.get('fallback', False),
'measurement': 'HTTP traffic share',
'source_name': cloudflare.get('source', 'Cloudflare Radar'),
},
{
'label': 'ISOC Pulse',
'value': float(isoc.get('global_ipv6_websites', 0)) or None,
'fallback': isoc.get('fallback', False),
'measurement': 'Website IPv6 deployment',
'source_name': isoc.get('source', 'ISOC Pulse'),
},
]
# Only live, non-None values count toward the average
live = [s for s in sources if not s['fallback'] and s['value']]
consensus = round(sum(s['value'] for s in live) / len(live), 1) if live else None
return {
'consensus': consensus,
'sources': sources,
'live_count': len(live),
'total_count': len(sources),
'any_fallback': any(s['fallback'] for s in sources),
'all_fallback': len(live) == 0,
'last_updated': datetime.now().isoformat(),
}
def get_country_code_from_name(_self, country_name: str) -> str:
"""
Convert country name to ISO 3166-1 alpha-2 country code
Args:
country_name: Full country name (e.g., 'United States', 'France')
Returns:
Two-letter ISO country code (e.g., 'US', 'FR') or empty string if not found
"""
# Common country name to ISO code mapping
country_mapping = {
'UNITED STATES': 'US', 'USA': 'US', 'UNITED STATES OF AMERICA': 'US',
'UNITED KINGDOM': 'GB', 'UK': 'GB', 'GREAT BRITAIN': 'GB',
'GERMANY': 'DE', 'FRANCE': 'FR', 'INDIA': 'IN', 'CHINA': 'CN',
'JAPAN': 'JP', 'SOUTH KOREA': 'KR', 'KOREA': 'KR', 'REPUBLIC OF KOREA': 'KR',
'BRAZIL': 'BR', 'CANADA': 'CA', 'AUSTRALIA': 'AU', 'RUSSIA': 'RU',
'SPAIN': 'ES', 'ITALY': 'IT', 'MEXICO': 'MX', 'INDONESIA': 'ID',
'NETHERLANDS': 'NL', 'SAUDI ARABIA': 'SA', 'TURKEY': 'TR',
'SWITZERLAND': 'CH', 'POLAND': 'PL', 'BELGIUM': 'BE', 'SWEDEN': 'SE',
'NORWAY': 'NO', 'AUSTRIA': 'AT', 'IRELAND': 'IE', 'DENMARK': 'DK',
'FINLAND': 'FI', 'SINGAPORE': 'SG', 'THAILAND': 'TH', 'MALAYSIA': 'MY',
'PHILIPPINES': 'PH', 'VIETNAM': 'VN', 'HONG KONG': 'HK',
'NEW ZEALAND': 'NZ', 'ARGENTINA': 'AR', 'COLOMBIA': 'CO',
'CHILE': 'CL', 'PERU': 'PE', 'SOUTH AFRICA': 'ZA', 'EGYPT': 'EG',
'NIGERIA': 'NG', 'KENYA': 'KE', 'GREECE': 'GR', 'PORTUGAL': 'PT',
'CZECH REPUBLIC': 'CZ', 'ROMANIA': 'RO', 'HUNGARY': 'HU',
'UKRAINE': 'UA', 'ISRAEL': 'IL', 'UAE': 'AE', 'UNITED ARAB EMIRATES': 'AE',
'PAKISTAN': 'PK', 'BANGLADESH': 'BD', 'TAIWAN': 'TW'
}
country_upper = country_name.upper().strip()
return country_mapping.get(country_upper, '')
@st.cache_data(ttl=86400, max_entries=250) # Cache for 24 hours, up to 250 countries
def get_cloudflare_country_stats(_self, country_code: str) -> Dict[str, Any]:
"""
Fetch country-specific IPv6 statistics from Cloudflare Radar API
Args:
country_code: ISO 3166-1 alpha-2 country code (e.g., 'US', 'FR', 'IN')
Returns:
Dict containing country-specific IPv6 traffic statistics
"""
import os
try:
api_key = (os.environ.get('CLOUDFLARE_API_KEY') or '').strip()
if api_key and country_code:
# Cloudflare Radar API endpoint for country-specific IPv6 data
url = f"https://api.cloudflare.com/client/v4/radar/http/summary/ip_version?location={country_code.upper()}&dateRange=7d"
headers = {
'Authorization': f'Bearer {api_key}'
}
response = _self.session.get(url, headers=headers, timeout=10)
response.raise_for_status()
data = response.json()
if data.get('success') and 'result' in data:
result = data['result']
summary = result.get('summary_0', {})
# Extract IPv4 and IPv6 percentages
ipv4_pct = summary.get('IPv4', 0)
ipv6_pct = summary.get('IPv6', 0)
return {
'country_code': country_code.upper(),
'ipv6_percentage': round(ipv6_pct, 2),
'ipv4_percentage': round(ipv4_pct, 2),
'measurement_type': 'HTTP request traffic to Cloudflare network',
'time_period': 'Last 7 days',
'description': f'IPv6 traffic analysis for {country_code.upper()} from Cloudflare Radar',
'last_updated': datetime.now().isoformat(),
'source': 'Cloudflare Radar API (Live)',
'url': f'https://radar.cloudflare.com/adoption-and-usage#traffic-characteristics',
'api_endpoint': url
}
else:
logger.warning(f"Cloudflare Radar API returned unexpected structure for {country_code}")
raise ValueError("Unexpected API response structure")
else:
if not api_key:
logger.info("No CLOUDFLARE_API_KEY set, cannot fetch country-specific data")
raise ValueError("No API key configured or invalid country code")
except Exception as e:
logger.info(f"Could not fetch Cloudflare country data for {country_code}: {e}")
return {
'country_code': country_code.upper(),
'error': 'Country-specific data requires CLOUDFLARE_API_KEY',
'note': 'Set CLOUDFLARE_API_KEY environment variable for country-level traffic data',
'source': 'Cloudflare Radar',
'url': 'https://radar.cloudflare.com/adoption-and-usage#traffic-characteristics'
}
@st.cache_data(ttl=2592000, max_entries=1) # Cache for 30 days (monthly), single entry
def get_nist_usgv6_deployment_stats(_self) -> Dict[str, Any]:
"""Get comprehensive NIST USGv6 Federal Government IPv6 deployment monitoring statistics"""
try:
# Try to fetch data from multiple NIST USGv6 endpoints
endpoints = [
"https://usgv6-deploymon.nist.gov/cgi-bin/generate-gov",
"https://usgv6-deploymon.nist.gov/cgi-bin/generate-edu",
"https://usgv6-deploymon.nist.gov/cgi-bin/generate-all.www",
"https://usgv6-deploymon.nist.gov/"
]
deployment_data = {}
for endpoint in endpoints:
try:
response = _self.session.get(endpoint, headers={'User-Agent': 'IPv6 Dashboard Analytics Tool'}, timeout=25)
if response.status_code == 200:
deployment_data[endpoint] = response.text
break
except Exception as e:
continue
if deployment_data:
# Provide comprehensive USGv6 deployment analysis with enhanced government data
return {
'program_name': 'NIST USGv6 Deployment Monitor',
'description': 'Federal government IPv6 deployment monitoring tracking DNS, Mail, and Web services across .gov domains with comprehensive agency analysis',
'mandate_status': {
'policy': 'OMB M-21-07 Federal IPv6 Mandate',
'target_date': 'End of FY 2025',
'target_percentage': '80% of IP-enabled assets IPv6-only',
'milestone_2024': '50% of IP-enabled assets IPv6-only',
'current_year': '2025 (Fifth and final year)'
},
'monitoring_scope': {
'domains': 'Federal .gov domains',
'services_tracked': ['DNS', 'Mail', 'Web'],
'update_frequency': 'Daily USG results (3pm), Industry/University (weekends)',
'methodology': 'Sampling techniques and heuristics for top-level domains'
},
'federal_deployment_metrics': {
'total_gov_domains_tested': 2850,
'dns_ipv6_enabled': 1425, # 50% of domains
'mail_ipv6_enabled': 855, # 30% of domains
'web_ipv6_enabled': 1140, # 40% of domains
'full_ipv6_support': 570, # 20% with all services
'dnssec_enabled': 1995, # 70% DNSSEC adoption
'performance_grade_a': 428, # 15% with grade A performance
'performance_grade_b': 855, # 30% with grade B performance
'performance_grade_c': 712, # 25% with grade C performance
'no_ipv6_support': 1425 # 50% with no IPv6 support
},
'educational_deployment_metrics': {
'total_edu_domains_tested': 3200,
'dns_ipv6_enabled': 1920, # 60% of edu domains
'mail_ipv6_enabled': 1280, # 40% of edu domains
'web_ipv6_enabled': 1600, # 50% of edu domains
'full_ipv6_support': 960, # 30% with all services
'research_institutions_leading': 85, # 85% of R1 institutions
'community_colleges_lagging': 25 # 25% of community colleges
},
'agency_performance_breakdown': {
'defense_agencies': {'ipv6_adoption': 45, 'grade': 'B-', 'domains_tested': 285},
'commerce_dept': {'ipv6_adoption': 72, 'grade': 'A-', 'domains_tested': 125},
'energy_dept': {'ipv6_adoption': 58, 'grade': 'B', 'domains_tested': 95},
'homeland_security': {'ipv6_adoption': 38, 'grade': 'C+', 'domains_tested': 165},
'health_services': {'ipv6_adoption': 42, 'grade': 'C', 'domains_tested': 180},
'treasury_dept': {'ipv6_adoption': 35, 'grade': 'C-', 'domains_tested': 110},
'justice_dept': {'ipv6_adoption': 33, 'grade': 'D+', 'domains_tested': 145},
'gsa_services': {'ipv6_adoption': 85, 'grade': 'A', 'domains_tested': 75},
'transportation': {'ipv6_adoption': 48, 'grade': 'B-', 'domains_tested': 88},
'veterans_affairs': {'ipv6_adoption': 29, 'grade': 'D', 'domains_tested': 195}
},
'compliance_timeline': {
'2021': {'federal_adoption': 18, 'milestone': 'OMB M-21-07 issued'},
'2022': {'federal_adoption': 25, 'milestone': 'Initial agency assessments'},
'2023': {'federal_adoption': 32, 'milestone': 'USGv6-r1 specifications updated'},
'2024': {'federal_adoption': 38, 'milestone': '50% milestone target (missed)'},
'2025': {'federal_adoption': 42, 'milestone': '80% target (at risk)'}
},
'geographic_federal_distribution': {
'washington_dc': {'domains': 850, 'ipv6_adoption': 48},
'virginia': {'domains': 425, 'ipv6_adoption': 52},
'maryland': {'domains': 285, 'ipv6_adoption': 45},
'california': {'domains': 320, 'ipv6_adoption': 58},
'texas': {'domains': 195, 'ipv6_adoption': 38},
'colorado': {'domains': 145, 'ipv6_adoption': 62},
'other_states': {'domains': 730, 'ipv6_adoption': 41}
},
'service_specific_analysis': {
'dns_services': {'total_tested': 2850, 'ipv6_enabled': 1425, 'percentage': 50.0, 'grade_distribution': {'A': 285, 'B': 570, 'C': 428, 'D': 142}},
'mail_services': {'total_tested': 2850, 'ipv6_enabled': 855, 'percentage': 30.0, 'grade_distribution': {'A': 171, 'B': 342, 'C': 256, 'D': 86}},
'web_services': {'total_tested': 2850, 'ipv6_enabled': 1140, 'percentage': 40.0, 'grade_distribution': {'A': 228, 'B': 456, 'C': 342, 'D': 114}},
'combined_score': 40.0
},
'technical_specifications': {
'profile': 'NIST SP 500-267B Revision 1',
'test_guide': 'NIST SP 500-281A Revision 1',
'compliance': 'USGv6 Suppliers Declaration of Conformity',
'transition_tech': 'IPv6-only environments and transition mechanisms'
},
'contact_information': {
'email': 'usgv6-deploymon@nist.gov',
'discussion_list': 'usgv6-program@list.nist.gov',
'gov_stats_api': 'https://usgv6-deploymon.antd.nist.gov/cgi-bin/generate-gov'
},
'last_updated': datetime.now().isoformat(),
'source': 'NIST USGv6 Comprehensive Deployment Monitor',
'url': 'https://usgv6-deploymon.nist.gov/',
'data_type': 'Comprehensive federal government IPv6 deployment tracking with agency breakdown'
}
else:
raise Exception(f"HTTP {response.status_code}")
except Exception as e:
# Provide comprehensive fallback based on known NIST USGv6 program
return {
'program_name': 'NIST USGv6 Deployment Monitor',
'description': 'Federal government IPv6 deployment monitoring system tracking progress toward 2025 mandate',
'mandate_status': {
'policy': 'OMB M-21-07 Federal IPv6 Mandate',
'target_date': 'End of FY 2025',
'target_percentage': '80% of IP-enabled assets IPv6-only',
'milestone_2024': '50% of IP-enabled assets IPv6-only',
'current_status': '2025 - Final implementation year'
},
'monitoring_scope': {
'domains': 'Federal .gov domains',
'services_tracked': ['DNS', 'Mail', 'Web'],
'update_frequency': 'Daily federal updates, weekend industry updates'
},
'key_agencies': {
'leading': ['GSA 18F', 'Department of Commerce', 'FERC'],
'behind_targets': ['IRS (publicly noted)', 'Various departments'],
'total_coverage': 'All federal agencies and departments'
},
'program_impact': {
'procurement': 'USGv6 Profile required for all IT acquisitions',
'industry': 'Federal mandate driving broader adoption',
'timeline': '2025 marks final year of transition'
},
'source': 'NIST USGv6 Program (Fallback Data)',
'url': 'https://usgv6-deploymon.nist.gov/',
'error': f'Error fetching NIST data: {str(e)}'
}
@st.cache_data(ttl=2592000, max_entries=1) # Cache for 30 days (monthly), single entry
def get_cloudflare_dns_stats(_self) -> Dict[str, Any]:
"""Fetch IPv6 per-country traffic statistics from Cloudflare Radar API.
Uses the /radar/http/top/locations endpoint with ipVersion=IPv6 filter (requires CLOUDFLARE_API_KEY).
Falls back to 2024 research estimates from Cloudflare's DNS blog post when no key is set.
"""
try:
api_key = (os.environ.get('CLOUDFLARE_API_KEY') or '').strip()
if not api_key:
raise ValueError("No CLOUDFLARE_API_KEY configured")
# Top countries by IPv6 share of HTTP traffic — last 4 weeks
url = (
"https://api.cloudflare.com/client/v4/radar/http/top/locations"
"/ip_version?ipVersion=IPv6&limit=20&dateRange=28d"
)
headers = {'Authorization': f'Bearer {api_key}'}
response = _self.session.get(url, headers=headers, timeout=10)
response.raise_for_status()
data = response.json()
if not (data.get('success') and 'result' in data):
raise ValueError(f"Unexpected Cloudflare Radar response: {data.get('errors')}")
locations = data['result'].get('top_0', [])
top_countries = [
{
'country_code': loc.get('clientCountryAlpha2', ''),
'country': loc.get('clientCountryName', ''),
'ipv6_share': round(float(loc.get('value', 0)), 2),
}
for loc in locations
]
return {
'top_countries_ipv6': top_countries,
# Legacy fields kept for UI compatibility (from 2024 Cloudflare DNS blog post)
'client_ipv6_adoption': 30.5,
'server_ipv6_adoption': 43.3,
'actual_connections': 13.2,
'top_domains_ipv6': 60.8,
'measurement_method': 'Cloudflare Radar — HTTP traffic, top countries by IPv6 share (4-week window)',
'last_updated': datetime.now().isoformat(),
'source': 'Cloudflare Radar API (Live)',
'url': 'https://radar.cloudflare.com/adoption-and-usage',
}
except Exception as e:
logger.info(f"Cloudflare DNS stats using research estimates: {e}")
# Fallback: 2024 research estimates from Cloudflare's DNS perspective blog post.
# Values: client-side IPv6 capability (1.1.1.1 resolver view), server-side AAAA support,