ssl-proxy-debug-workflow

name	ssl-proxy-debug-workflow
description	Systematic debugging workflow for SSL/proxy connectivity issues with government and institutional websites

SSL/Proxy Debugging Workflow for Government Websites

This skill provides a systematic approach to troubleshoot and resolve SSL certificate, proxy, and connectivity issues commonly encountered when accessing government and institutional websites.

Recognizing the Problem

Typical symptoms indicating SSL/proxy issues:

• requests.exceptions.SSLError or certificate verify failed errors
• Connection timeouts despite the site being publicly accessible
• Proxy authentication failures
• HTTP 403/407 errors on otherwise valid requests
• Mixed success across different access methods (browser works, script fails)

Systematic Troubleshooting Steps

Step 1: Verify Basic Connectivity

Before assuming SSL issues, confirm the target is reachable:

import requests
import socket

# Test DNS resolution
try:
    ip = socket.gethostbyname('example.gov')
    print(f"DNS resolved: {ip}")
except Exception as e:
    print(f"DNS failure: {e}")

# Test basic TCP connectivity
try:
    sock = socket.create_connection(('example.gov', 443), timeout=5)
    sock.close()
    print("TCP connection successful")
except Exception as e:
    print(f"TCP failure: {e}")

Step 2: Try Protocol Variations

Test both HTTP and HTTPS, and try without www prefix:

urls_to_try = [
    'https://example.gov',
    'http://example.gov',
    'https://www.example.gov',
    'http://www.example.gov',
    'https://subdomain.example.gov',
]

for url in urls_to_try:
    try:
        response = requests.get(url, timeout=10)
        print(f"SUCCESS: {url} - Status: {response.status_code}")
        break
    except Exception as e:
        print(f"FAILED: {url} - {type(e).__name__}: {e}")

Step 3: Disable SSL Verification (Temporary Debug)

For debugging only - never use in production with sensitive data:

import urllib3
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)

response = requests.get('https://example.gov', verify=False, timeout=10)
print(f"Status: {response.status_code}")

Step 4: Manipulate Proxy Settings

Government networks often require specific proxy configurations:

# Try without proxy
session = requests.Session()
session.trust_env = False  # Ignore system proxy settings
response = session.get('https://example.gov', timeout=10)

# Try with explicit proxy
proxies = {
    'http': 'http://proxy.example.com:8080',
    'https': 'http://proxy.example.com:8080',
}
response = requests.get('https://example.gov', proxies=proxies, timeout=10)

# Try with proxy authentication
proxies = {
    'https': 'http://username:[e-mail]:8080',
}

Step 5: Adjust Request Headers

Some government sites block automated requests:

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',
    'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
    'Accept-Language': 'en-US,en;q=0.5',
    'Accept-Encoding': 'gzip, deflate',
    'Connection': 'keep-alive',
}
response = requests.get('https://example.gov', headers=headers, timeout=10)

Step 6: Test Alternative Domains/Endpoints

Government data may be available through multiple portals:

# Common alternative patterns
alternative_domains = [
    'data.example.gov',
    'api.example.gov',
    'services.example.gov',
    'example.illinois.gov',  # State-specific
    'www.epa.gov/example',   # Federal parent site
]

# Search for data mirrors
# Check data.gov, state open data portals, etc.

Step 7: Increase Timeouts and Add Retries

Government sites may be slow or rate-limit:

from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry

session = requests.Session()
retry = Retry(
    total=5,
    backoff_factor=2,
    status_forcelist=[429, 500, 502, 503, 504],
)
adapter = HTTPAdapter(max_retries=retry)
session.mount('https://', adapter)
session.mount('http://', adapter)

response = session.get('https://example.gov', timeout=30)

Fallback Strategies When Primary Source Fails

Strategy A: Find Alternative Data Sources

# 1. Check federal aggregators
#    - data.gov
#    - epa.gov (for environmental data)
#    - census.gov (for demographic data)

# 2. Check state open data portals
#    - Format: data.{state}.gov or {state}.gov/open-data

# 3. Check county/municipal portals
#    - Often have more accessible APIs

# 4. Search for cached/archived versions
#    - Web Archive (archive.org)
#    - Google Cache

Strategy B: Use Search to Discover Working Endpoints

# Search for the data with specific file types
search_queries = [
    'site:example.gov well data filetype:csv',
    'site:example.gov water quality filetype:json',
    'example.gov API endpoint documentation',
]

Strategy C: Manual Download as Last Resort

If programmatic access consistently fails:

1. Document the exact URL that works in a browser
2. Note any authentication/cookie requirements
3. Consider browser automation (Selenium/Playwright) as fallback
4. Schedule manual data collection if volume permits

Complete Troubleshooting Function

def debug_government_url(base_url, max_attempts=5):
    """Systematic debugging for government website access."""
    import requests
    import urllib3
    from requests.adapters import HTTPAdapter
    from urllib3.util.retry import Retry
    
    urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
    
    # Generate URL variations
    variations = []
    for proto in ['https', 'http']:
        for prefix in ['', 'www.']:
            variations.append(f"{proto}://{prefix}{base_url}")
    
    # Configure retry session
    session = requests.Session()
    session.trust_env = False  # Bypass system proxy
    retry = Retry(total=3, backoff_factor=1, status_forcelist=[500, 502, 503, 504])
    adapter = HTTPAdapter(max_retries=retry)
    session.mount('https://', adapter)
    
    headers = {'User-Agent': 'Mozilla/5.0'}
    
    for url in variations:
        print(f"Trying: {url}")
        try:
            # First attempt: normal
            resp = session.get(url, headers=headers, timeout=15)
            if resp.status_code < :
                ()
                 {: url, : , : resp}
         Exception  e:
            ()
        
        :
            
            resp = session.get(url, headers=headers, verify=, timeout=)
             resp.status_code < :
                ()
                 {: url, : , : resp}
         Exception  e:
            ()
    
     {: , : base_url}

Best Practices

1. Never hardcode credentials - Use environment variables for proxy auth
2. Log all attempts - Document which methods succeeded/failed for future reference
3. Respect rate limits - Add delays between requests (1-2 seconds minimum)
4. Check robots.txt - Verify scraping is permitted
5. Have exit criteria - Know when to abandon a source and find alternatives
6. Cache successful configurations - Save working URL/method combinations

When to Give Up

After exhausting these steps, consider:

• The data may no longer be publicly available
• The site may require special authentication (contact the agency)
• Alternative sources may have the same data in more accessible format
• The task scope may need adjustment based on data availability