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#!/usr/bin/env python3
"""
Deutsche Bahn API Client - Fetch S-Bahn disruptions using Selenium
"""
import requests
from datetime import datetime
import time
class DBClient:
"""Client for Deutsche Bahn (S-Bahn) disruptions"""
# DB S-Bahn München map page
MAP_URL = "https://karte.bahn.de/en/region/DB_SBahn_Muenchen"
def __init__(self):
self.session = requests.Session()
self.session.headers.update({
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36',
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
'Accept-Language': 'en-US,en;q=0.9,de;q=0.8',
})
def get_sbahn_disruptions(self):
"""
Fetch S-Bahn disruptions for Munich from DB Karte using Selenium
Returns:
list: Disruption data
"""
print("\n🔍 Fetching S-Bahn disruptions from DB Karte (using Selenium)...")
driver = None
try:
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import os
# Setup Chrome options for Chromium
chrome_options = Options()
chrome_options.add_argument('--headless')
chrome_options.add_argument('--no-sandbox')
chrome_options.add_argument('--disable-dev-shm-usage')
chrome_options.add_argument('--disable-blink-features=AutomationControlled')
chrome_options.add_argument('--window-size=1920,1080')
chrome_options.add_argument('--disable-gpu')
chrome_options.add_experimental_option("excludeSwitches", ["enable-automation"])
chrome_options.add_experimental_option('useAutomationExtension', False)
# Set realistic user agent
chrome_options.add_argument('user-agent=Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36')
# Use system Chromium if available (Docker container)
chrome_bin = os.getenv('CHROME_BIN', '/usr/bin/chromium')
chromedriver_path = os.getenv('CHROMEDRIVER_PATH', '/usr/bin/chromedriver')
if os.path.exists(chrome_bin):
chrome_options.binary_location = chrome_bin
print(f" Using system Chromium: {chrome_bin}")
print(" Starting Chromium browser...")
# Try to use system chromedriver
try:
if os.path.exists(chromedriver_path):
service = Service(chromedriver_path)
driver = webdriver.Chrome(service=service, options=chrome_options)
else:
driver = webdriver.Chrome(options=chrome_options)
except Exception as e:
print(f" ✗ Failed to start Chromium: {e}")
print(f" Falling back to webdriver-manager...")
try:
from webdriver_manager.chrome import ChromeDriverManager
service = Service(ChromeDriverManager().install())
driver = webdriver.Chrome(service=service, options=chrome_options)
except Exception as e2:
print(f" ✗ webdriver-manager also failed: {e2}")
raise
print(f" Loading: {self.MAP_URL}")
driver.get(self.MAP_URL)
# Wait for page to load
print(" Waiting for page to load...")
# Wait for disruption boxes to appear
try:
print(" Waiting for disruption boxes...")
WebDriverWait(driver, 15).until(
EC.presence_of_element_located((By.CSS_SELECTOR, "div[data-cy='disruptionbox']"))
)
# Give extra time for all boxes to load
time.sleep(3)
print(" ✓ Disruption boxes should be loaded")
except Exception as e:
print(f" ⚠ Timeout waiting for disruption boxes: {e}")
time.sleep(5)
print(f" ✓ Page loaded (title: {driver.title[:50]}...)")
# Debug: Save screenshot and page source
try:
screenshot_path = "/tmp/db_karte_screenshot.png"
driver.save_screenshot(screenshot_path)
print(f" 📸 Screenshot saved to: {screenshot_path}")
except:
pass
# Debug: Print page structure
print(" Analyzing page structure...")
page_source = driver.page_source
# Save page source for inspection
try:
with open("/tmp/db_karte_source.html", "w", encoding="utf-8") as f:
f.write(page_source)
print(f" 📄 Page source saved to: /tmp/db_karte_source.html")
except:
pass
# Look for disruption markers/icons on the map
disruptions = self._find_and_click_disruptions(driver)
# If no disruptions found via clicking, parse the page source
if not disruptions:
print(" No clickable disruptions found, parsing page source...")
# Debug: Show what elements are on the page
from bs4 import BeautifulSoup
soup = BeautifulSoup(page_source, 'html.parser')
# Count different element types
print(f" Page stats: {len(soup.find_all('div'))} divs, {len(soup.find_all('button'))} buttons")
# Look for any text mentioning disruptions
text = soup.get_text().lower()
if 'disruption' in text or 'störung' in text or 'incident' in text:
print(f" Page contains disruption-related text")
# Check for common map libraries
if 'leaflet' in page_source.lower():
print(f" Page uses Leaflet maps")
if 'mapbox' in page_source.lower():
print(f" Page uses Mapbox")
if 'google.maps' in page_source.lower():
print(f" Page uses Google Maps")
disruptions = self._parse_selenium_page(page_source, driver)
if disruptions:
print(f"✓ Found {len(disruptions)} S-Bahn disruptions")
else:
print(f" No S-Bahn disruptions found (all lines operating normally)")
return disruptions
except ImportError as e:
print(f" ✗ Selenium not available: {e}")
print(f" Install with: pip install selenium webdriver-manager")
return []
except Exception as e:
print(f" ✗ Error: {e}")
import traceback
traceback.print_exc()
return []
finally:
if driver:
driver.quit()
def _find_and_click_disruptions(self, driver):
"""Find disruption boxes in the sidebar"""
try:
from selenium.webdriver.common.by import By
disruptions = []
print(" Looking for disruption boxes...")
# Find all disruption boxes in the sidebar
disruption_boxes = driver.find_elements(By.CSS_SELECTOR, "div[data-cy='disruptionbox']")
if not disruption_boxes:
print(" No disruption boxes found")
return []
print(f" Found {len(disruption_boxes)} disruption boxes")
# First pass: collect all basic info without clicking
basic_info = []
for i, box in enumerate(disruption_boxes):
try:
# Extract disruption ID
disruption_id = box.get_attribute('id')
# Extract title
title_elem = box.find_element(By.CSS_SELECTOR, "span[data-cy='disruptionboxTitle']")
title = title_elem.text.strip()
# Extract subtitle (type)
subtitle_elem = box.find_element(By.CSS_SELECTOR, "span[data-cy='disruptionboxSubtitle']")
subtitle = subtitle_elem.text.strip()
# Extract affected lines
lines = []
badge_list = box.find_element(By.CSS_SELECTOR, "div[data-cy='disruptionBadgeList']")
badges = badge_list.find_elements(By.CSS_SELECTOR, "span[data-cy='disruptionBadge']")
for badge in badges:
line_text = badge.text.strip()
if line_text and line_text.startswith('S'):
lines.append(line_text)
# Determine severity from icon
severity = 'medium'
try:
icon = box.find_element(By.CSS_SELECTOR, "img[data-cy='disruptionboxIcon']")
icon_src = icon.get_attribute('src')
if 'red' in icon_src:
severity = 'high'
elif 'orange' in icon_src:
severity = 'medium'
elif 'yellow' in icon_src:
severity = 'low'
except:
pass
# Store basic info
basic_info.append({
'id': disruption_id or f"sbahn_{i}",
'title': title,
'subtitle': subtitle,
'lines': lines,
'severity': severity,
'index': i
})
print(f" ✓ [{i}] {title[:60]}... (Lines: {', '.join(lines)})")
except Exception as e:
print(f" ✗ Error extracting disruption {i}: {e}")
continue
# Second pass: click each one to get time details
print(f"\n Extracting time details for {len(basic_info)} disruptions...")
for info in basic_info:
print(f" Processing disruption {info['index']}...")
try:
# Make sure we're back at the list view
driver.execute_script("window.scrollTo(0, 0);")
time.sleep(0.5)
# Wait for boxes to be present again
try:
WebDriverWait(driver, 3).until(
EC.presence_of_element_located((By.CSS_SELECTOR, "div[data-cy='disruptionbox']"))
)
except:
pass
# Refetch boxes each time
boxes = driver.find_elements(By.CSS_SELECTOR, "div[data-cy='disruptionbox']")
print(f" Found {len(boxes)} boxes after refetch")
if info['index'] >= len(boxes):
print(f" ⚠ Box {info['index']} not found (only {len(boxes)} boxes available)")
continue
# Get fresh reference to the box and button
box = boxes[info['index']]
button = box.find_element(By.TAG_NAME, "button")
# Click to open details
driver.execute_script("arguments[0].scrollIntoView(true);", button)
time.sleep(0.3)
driver.execute_script("arguments[0].click();", button) # Use JS click
time.sleep(1.5) # Wait for detail panel to fully open
# Extract time from page text
detail_text = driver.find_element(By.TAG_NAME, "body").text
# Debug: show a snippet of the detail text
if "From:" in detail_text and "To:" in detail_text:
snippet_start = detail_text.find("From:")
snippet_end = detail_text.find("To:", snippet_start) + 50
snippet = detail_text[snippet_start:snippet_end]
print(f" Time snippet: {snippet.replace(chr(10), ' ')}")
start_time, end_time = self._extract_time_range(detail_text)
# Go back to original page to reset the view
driver.get(self.MAP_URL)
time.sleep(3) # Wait for page to reload and boxes to appear
# Create disruption object
disruption_type = self._classify_type(info['title'] + ' ' + info['subtitle'])
disruption = {
'id': info['id'],
'title': info['title'],
'description': info['subtitle'],
'lines': info['lines'],
'type': disruption_type,
'start_time': start_time,
'end_time': end_time,
'severity': info['severity'],
'source': 'db_karte_sidebar',
'created_at': datetime.utcnow()
}
disruptions.append(disruption)
time_info = ""
if start_time:
time_info += f" From: {start_time.strftime('%d.%m %H:%M')}"
if end_time:
time_info += f" To: {end_time.strftime('%d.%m %H:%M')}"
if time_info:
print(f" ✓ [{info['index']}]{time_info}")
except Exception as e:
print(f" ⚠ Could not get time for disruption {info['index']}: {e}")
# Still add the disruption without time info
disruption = {
'id': info['id'],
'title': info['title'],
'description': info['subtitle'],
'lines': info['lines'],
'type': self._classify_type(info['title']),
'start_time': None,
'end_time': None,
'severity': info['severity'],
'source': 'db_karte_sidebar',
'created_at': datetime.utcnow()
}
disruptions.append(disruption)
return disruptions
except Exception as e:
print(f" ✗ Error finding disruption boxes: {e}")
return []
def _extract_disruption_details(self, driver):
"""Extract disruption details from popup/modal"""
try:
from selenium.webdriver.common.by import By
# Look for popup/modal/tooltip containers
popup_selectors = [
"div[class*='popup']",
"div[class*='modal']",
"div[class*='tooltip']",
"div[class*='detail']",
"div[class*='info']",
"[role='dialog']",
"[role='tooltip']",
]
popup = None
for selector in popup_selectors:
try:
elements = driver.find_elements(By.CSS_SELECTOR, selector)
for elem in elements:
if elem.is_displayed() and len(elem.text) > 20:
popup = elem
break
if popup:
break
except:
continue
if not popup:
# Try to get any recently appeared text
body = driver.find_element(By.TAG_NAME, "body")
popup_text = body.text
else:
popup_text = popup.text
# Check if it's S-Bahn related
if not self._contains_sbahn_reference(popup_text):
return None
# Extract title (usually first line or heading)
title = popup_text.split('\n')[0][:100] if '\n' in popup_text else popup_text[:100]
# Extract time information
start_time, end_time = self._extract_time_range(popup_text)
# Extract affected lines
lines = self._extract_lines_from_text(popup_text)
return {
'id': f"sbahn_detail_{hash(popup_text) % 10000}",
'title': title,
'description': popup_text[:500],
'lines': lines,
'type': self._classify_type(title),
'start_time': start_time,
'end_time': end_time,
'severity': self._determine_severity(popup_text),
'source': 'db_karte_detail',
'created_at': datetime.utcnow()
}
except Exception as e:
return None
def _extract_time_range(self, text):
"""Extract start and end time from text"""
import re
from datetime import datetime
start_time = None
end_time = None
# Look for the specific format with possible newlines
# Pattern: From:XX.YYYY-MM-DD, HH:MMTo:XX.YYYY-MM-DD, HH:MM
# Remove newlines first to make matching easier
text_clean = text.replace('\n', ' ').replace('\r', ' ')
pattern = r'From:\s*[A-Za-z]{2}\.\s*(\d{4}-\d{2}-\d{2}),\s*(\d{2}:\d{2})\s*To:\s*[A-Za-z]{2}\.\s*(\d{4}-\d{2}-\d{2}),\s*(\d{2}:\d{2})'
match = re.search(pattern, text_clean)
if match:
try:
start_date = match.group(1) # 2025-11-13
start_time_str = match.group(2) # 10:02
end_date = match.group(3) # 2025-11-13
end_time_str = match.group(4) # 14:30
start_time = datetime.strptime(f"{start_date} {start_time_str}", "%Y-%m-%d %H:%M")
end_time = datetime.strptime(f"{end_date} {end_time_str}", "%Y-%m-%d %H:%M")
except Exception as e:
print(f" ⚠ Error parsing time: {e}")
# Fallback: Try other German formats
if not start_time:
# Look for "ab DD.MM.YYYY HH:MM" or "bis DD.MM.YYYY HH:MM"
ab_pattern = r'ab\s+(\d{1,2}\.\d{1,2}\.\d{4})[,\s]+(\d{1,2}:\d{2})'
bis_pattern = r'bis\s+(\d{1,2}\.\d{1,2}\.\d{4})[,\s]+(\d{1,2}:\d{2})'
ab_match = re.search(ab_pattern, text, re.IGNORECASE)
if ab_match:
try:
start_time = datetime.strptime(f"{ab_match.group(1)} {ab_match.group(2)}", "%d.%m.%Y %H:%M")
except:
pass
bis_match = re.search(bis_pattern, text, re.IGNORECASE)
if bis_match:
try:
end_time = datetime.strptime(f"{bis_match.group(1)} {bis_match.group(2)}", "%d.%m.%Y %H:%M")
except:
pass
return start_time, end_time
def _determine_severity(self, text):
"""Determine severity based on keywords"""
text_lower = text.lower()
if any(word in text_lower for word in ['ausfall', 'gesperrt', 'eingestellt', 'komplett']):
return 'high'
elif any(word in text_lower for word in ['verspätung', 'verzögerung', 'teilweise']):
return 'medium'
else:
return 'low'
def _parse_selenium_page(self, page_source, driver):
"""Parse page loaded by Selenium"""
try:
from bs4 import BeautifulSoup
from selenium.webdriver.common.by import By
print(" Analyzing rendered page...")
soup = BeautifulSoup(page_source, 'html.parser')
disruptions = []
# Method 1: Try to find disruption elements directly via Selenium
try:
# Look for common disruption indicators
selectors = [
"div[class*='disruption']",
"div[class*='stoerung']",
"div[class*='incident']",
"div[class*='message']",
"div[class*='alert']",
"[data-disruption]",
"[data-incident]"
]
for selector in selectors:
try:
elements = driver.find_elements(By.CSS_SELECTOR, selector)
if elements:
print(f" Found {len(elements)} elements with selector: {selector}")
for elem in elements:
text = elem.text.strip()
if len(text) > 20 and self._contains_sbahn_reference(text):
disruptions.append(self._create_disruption_from_text(text))
except:
continue
except Exception as e:
print(f" ✗ Selenium element search error: {e}")
# Method 2: Parse the page source with BeautifulSoup
if not disruptions:
print(" Trying BeautifulSoup parsing...")
disruptions = self._parse_map_page(page_source.encode(), page_source)
# Method 3: Check for any text mentioning S-Bahn lines with disruptions
if not disruptions:
print(" Checking page text for S-Bahn mentions...")
page_text = soup.get_text()
if self._contains_sbahn_reference(page_text):
# Extract paragraphs or sections mentioning S-Bahn
for elem in soup.find_all(['p', 'div', 'span']):
text = elem.get_text(strip=True)
if len(text) > 30 and self._contains_sbahn_reference(text):
lines = self._extract_lines_from_text(text)
if lines:
disruptions.append(self._create_disruption_from_text(text))
# Remove duplicates
seen = set()
unique = []
for d in disruptions:
key = d['title'][:50]
if key not in seen:
seen.add(key)
unique.append(d)
return unique
except Exception as e:
print(f" ✗ Parse error: {e}")
import traceback
traceback.print_exc()
return []
def _contains_sbahn_reference(self, text):
"""Check if text contains S-Bahn line references"""
import re
return bool(re.search(r'S[\s-]?[1-8]', text, re.IGNORECASE))
def _create_disruption_from_text(self, text):
"""Create disruption object from text"""
# Extract first sentence or first 100 chars as title
sentences = text.split('.')
title = sentences[0][:100] if sentences else text[:100]
return {
'id': f"sbahn_{hash(text) % 10000}",
'title': title,
'description': text[:500],
'lines': self._extract_lines_from_text(text),
'type': self._classify_type(title),
'start_time': None,
'end_time': None,
'severity': 'medium',
'source': 'db_karte_selenium',
'created_at': datetime.utcnow()
}
def _parse_map_page(self, html_content, html_text):
"""Parse DB Karte map page for S-Bahn disruptions"""
try:
from bs4 import BeautifulSoup
import re
import json
disruptions = []
# Method 1: Look for embedded JSON data in script tags
print(" Analyzing page for disruption data...")
# The map page likely has JSON data embedded in <script> tags
soup = BeautifulSoup(html_content, 'html.parser')
scripts = soup.find_all('script')
for script in scripts:
if script.string:
# Look for JSON data containing disruption/störung information
script_text = script.string
# Try to find JSON objects
json_pattern = r'\{[^{}]*(?:"disruption"|"störung"|"incident"|"message")[^{}]*\}'
matches = re.finditer(json_pattern, script_text, re.IGNORECASE)
for match in matches:
try:
data = json.loads(match.group())
# Process found JSON data
if self._is_disruption_data(data):
disruption = self._parse_disruption_json(data)
if disruption:
disruptions.append(disruption)
except json.JSONDecodeError:
continue
# Method 2: Look for API endpoint URLs in the page
api_pattern = r'https?://[^\s"\']+(?:api|disruption|stoerung)[^\s"\']+'
api_urls = re.findall(api_pattern, html_text, re.IGNORECASE)
if api_urls:
print(f" Found {len(api_urls)} potential API endpoints")
for api_url in set(api_urls[:3]): # Try first 3 unique URLs
try:
print(f" Trying API: {api_url[:60]}...")
api_response = self.session.get(api_url, timeout=10)
if api_response.status_code == 200:
api_data = api_response.json()
api_disruptions = self._parse_api_response(api_data)
disruptions.extend(api_disruptions)
except:
continue
# Method 3: Look for visible disruption messages on the page
if not disruptions:
print(" Checking for visible disruption messages...")
disruptions = self._scrape_visible_disruptions(soup)
# Remove duplicates based on title
seen_titles = set()
unique_disruptions = []
for d in disruptions:
if d['title'] not in seen_titles:
seen_titles.add(d['title'])
unique_disruptions.append(d)
return unique_disruptions
except Exception as e:
print(f" ✗ Parse error: {e}")
import traceback
traceback.print_exc()
return []
def _is_disruption_data(self, data):
"""Check if JSON data contains disruption information"""
if not isinstance(data, dict):
return False
disruption_keys = ['disruption', 'störung', 'incident', 'message', 'title', 'description']
return any(key in str(data).lower() for key in disruption_keys)
def _parse_disruption_json(self, data):
"""Parse disruption from JSON data"""
try:
title = data.get('title') or data.get('headline') or data.get('message', '')
if not title or len(title) < 5:
return None
return {
'id': data.get('id', f"json_{hash(title)}"),
'title': title,
'description': data.get('description') or data.get('text') or data.get('content', ''),
'lines': self._extract_lines_from_text(title),
'type': self._classify_type(title),
'start_time': None,
'end_time': None,
'severity': data.get('severity', 'medium'),
'source': 'db_karte_json',
'created_at': datetime.utcnow()
}
except:
return None
def _parse_api_response(self, data):
"""Parse API response for disruptions"""
disruptions = []
try:
# Handle different response formats
if isinstance(data, dict):
if 'disruptions' in data:
data = data['disruptions']
elif 'items' in data:
data = data['items']
elif 'data' in data:
data = data['data']
else:
data = [data]
if isinstance(data, list):
for item in data:
disruption = self._parse_disruption_json(item)
if disruption:
disruptions.append(disruption)
except:
pass
return disruptions
def _scrape_visible_disruptions(self, soup):
"""Scrape visible disruption messages from the page"""
disruptions = []
try:
# Look for common disruption container classes
selectors = [
'div[class*="disruption"]',
'div[class*="stoerung"]',
'div[class*="incident"]',
'div[class*="message"]',
'div[class*="alert"]',
'article[class*="disruption"]',
]
for selector in selectors:
elements = soup.select(selector)
for elem in elements:
text = elem.get_text(strip=True)
if len(text) > 20 and any(word in text.lower() for word in ['s-bahn', 's1', 's2', 's3', 's4', 's6', 's7', 's8']):
# Extract title (first line or heading)
title_elem = elem.find(['h1', 'h2', 'h3', 'h4', 'strong'])
title = title_elem.get_text(strip=True) if title_elem else text[:100]
disruptions.append({
'id': f"visible_{len(disruptions)}",
'title': title,
'description': text[:500],
'lines': self._extract_lines_from_text(text),
'type': self._classify_type(title),
'start_time': None,
'end_time': None,
'severity': 'medium',
'source': 'db_karte_page',
'created_at': datetime.utcnow()
})
except:
pass
return disruptions
def _extract_lines_from_text(self, text):
"""Extract S-Bahn line numbers from text"""
import re
# Match S1, S2, S 3, S-4, etc.
pattern = r'S[\s-]?[1-8]'
matches = re.findall(pattern, text, re.IGNORECASE)
# Normalize to format like "S1", "S2"
lines = [re.sub(r'[^\dS]', '', m.upper()) for m in matches]
return list(set(lines)) # Remove duplicates
def _classify_type(self, title):
"""Classify disruption type based on title"""
title_lower = title.lower()
if 'bauarbeit' in title_lower or 'wartung' in title_lower:
return 'maintenance'
elif 'ausfall' in title_lower or 'störung' in title_lower:
return 'disruption'
elif 'verspätung' in title_lower:
return 'delay'
else:
return 'info'
def test_db_client():
"""Test the DB client and print results"""
print("="*70)
print("🚆 Deutsche Bahn S-Bahn Client Test")
print("="*70)
client = DBClient()
disruptions = client.get_sbahn_disruptions()
if not disruptions:
print("\n⚠ No S-Bahn disruptions found (or not yet implemented)")
return
print(f"\n📊 Total S-Bahn Disruptions: {len(disruptions)}")
print("="*70)
for i, d in enumerate(disruptions, 1):
print(f"\n[{i}] {d['title']}")
print(f" Lines: {', '.join(d['lines'])}")
print(f" Type: {d['type']}")
print("\n" + "="*70)
if __name__ == '__main__':
test_db_client()