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Update utils.py
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import logging
import os
import json
import pickle
import hashlib
from datetime import datetime, timedelta
from typing import Dict, Any, Optional, List
import tempfile
import sys
def setup_logging():
"""Setup logging configuration"""
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[
logging.StreamHandler(sys.stdout),
logging.FileHandler('news_analyzer.log')
]
)
# Reduce noise from transformers and other libraries
logging.getLogger("transformers").setLevel(logging.WARNING)
logging.getLogger("urllib3").setLevel(logging.WARNING)
logging.getLogger("requests").setLevel(logging.WARNING)
def load_config() -> Dict[str, Any]:
"""Load application configuration"""
default_config = {
'max_articles': 50,
'cache_ttl_hours': 6,
'supported_languages': ['English', 'Hindi', 'Tamil'],
'sentiment_models': ['VADER', 'Loughran-McDonald', 'FinBERT'],
'summarization_max_length': 150,
'summarization_min_length': 50,
'audio_enabled': True,
'translation_enabled': True,
'keyword_extraction_enabled': True,
'max_keywords': 20,
'debug_mode': False
}
# Try to load config from file if it exists
config_file = 'config.json'
if os.path.exists(config_file):
try:
with open(config_file, 'r') as f:
file_config = json.load(f)
default_config.update(file_config)
except Exception as e:
logging.error(f"Failed to load config file: {str(e)}")
return default_config
class CacheManager:
"""Simple file-based caching system"""
def __init__(self, cache_dir: str = None):
self.cache_dir = cache_dir or tempfile.mkdtemp(prefix='news_cache_')
self.ensure_cache_dir()
logging.info(f"Cache manager initialized with directory: {self.cache_dir}")
def ensure_cache_dir(self):
"""Ensure cache directory exists"""
try:
os.makedirs(self.cache_dir, exist_ok=True)
except Exception as e:
logging.error(f"Failed to create cache directory: {str(e)}")
def _get_cache_key(self, key: str) -> str:
"""Generate a safe cache key"""
return hashlib.md5(key.encode()).hexdigest()
def get(self, key: str, ttl_hours: int = 6) -> Optional[Any]:
"""Get item from cache"""
try:
cache_key = self._get_cache_key(key)
cache_file = os.path.join(self.cache_dir, f"{cache_key}.pkl")
if not os.path.exists(cache_file):
return None
# Check if cache is expired
file_age = datetime.now().timestamp() - os.path.getmtime(cache_file)
if file_age > ttl_hours * 3600:
try:
os.remove(cache_file)
except:
pass
return None
# Load cached data
with open(cache_file, 'rb') as f:
data = pickle.load(f)
logging.debug(f"Cache hit for key: {key[:50]}...")
return data
except Exception as e:
logging.error(f"Cache get failed for key {key}: {str(e)}")
return None
def set(self, key: str, value: Any) -> bool:
"""Set item in cache"""
try:
cache_key = self._get_cache_key(key)
cache_file = os.path.join(self.cache_dir, f"{cache_key}.pkl")
with open(cache_file, 'wb') as f:
pickle.dump(value, f)
logging.debug(f"Cache set for key: {key[:50]}...")
return True
except Exception as e:
logging.error(f"Cache set failed for key {key}: {str(e)}")
return False
def clear_expired(self, ttl_hours: int = 24):
"""Clear expired cache entries"""
try:
current_time = datetime.now().timestamp()
max_age = ttl_hours * 3600
cleared_count = 0
for filename in os.listdir(self.cache_dir):
if filename.endswith('.pkl'):
filepath = os.path.join(self.cache_dir, filename)
file_age = current_time - os.path.getmtime(filepath)
if file_age > max_age:
try:
os.remove(filepath)
cleared_count += 1
except Exception as e:
logging.error(f"Failed to remove cache file {filepath}: {str(e)}")
if cleared_count > 0:
logging.info(f"Cleared {cleared_count} expired cache entries")
except Exception as e:
logging.error(f"Cache cleanup failed: {str(e)}")
# Global cache instance
cache_manager = CacheManager()
def cache_results(func):
"""Decorator for caching function results"""
def wrapper(*args, **kwargs):
# Create cache key from function name and arguments
cache_key = f"{func.__name__}_{str(args)}_{str(kwargs)}"
# Try to get from cache
cached_result = cache_manager.get(cache_key)
if cached_result is not None:
return cached_result
# Execute function and cache result
result = func(*args, **kwargs)
cache_manager.set(cache_key, result)
return result
return wrapper
def validate_input(text: str, min_length: int = 10, max_length: int = 10000) -> bool:
"""Validate input text"""
if not text or not isinstance(text, str):
return False
text = text.strip()
if len(text) < min_length or len(text) > max_length:
return False
return True
def sanitize_filename(filename: str) -> str:
"""Sanitize filename for safe file system usage"""
import re
# Replace invalid characters
sanitized = re.sub(r'[<>:"/\\|?*]', '_', filename)
# Remove extra spaces and dots
sanitized = re.sub(r'\s+', '_', sanitized)
sanitized = re.sub(r'\.+', '.', sanitized)
# Limit length
if len(sanitized) > 200:
sanitized = sanitized[:200]
return sanitized
def format_datetime(dt: datetime = None) -> str:
"""Format datetime for display"""
if dt is None:
dt = datetime.now()
return dt.strftime("%Y-%m-%d %H:%M:%S")
def calculate_processing_stats(start_time: datetime, num_articles: int) -> Dict[str, Any]:
"""Calculate processing statistics"""
end_time = datetime.now()
processing_time = (end_time - start_time).total_seconds()
return {
'start_time': format_datetime(start_time),
'end_time': format_datetime(end_time),
'processing_time_seconds': processing_time,
'processing_time_formatted': f"{processing_time:.2f} seconds",
'articles_processed': num_articles,
'articles_per_second': round(num_articles / processing_time, 2) if processing_time > 0 else 0
}
def chunk_text(text: str, chunk_size: int = 1000, overlap: int = 100) -> List[str]:
"""Split text into overlapping chunks"""
if len(text) <= chunk_size:
return [text]
chunks = []
start = 0
while start < len(text):
end = start + chunk_size
# If this isn't the last chunk, try to break at a sentence boundary
if end < len(text):
# Look for sentence boundaries in the last 100 characters
last_part = text[end-100:end]
sentence_end = max(
last_part.rfind('.'),
last_part.rfind('!'),
last_part.rfind('?')
)
if sentence_end != -1:
end = end - 100 + sentence_end + 1
chunks.append(text[start:end].strip())
start = end - overlap
return [chunk for chunk in chunks if chunk.strip()]
def extract_domain(url: str) -> str:
"""Extract domain from URL"""
try:
from urllib.parse import urlparse
parsed = urlparse(url)
return parsed.netloc.replace('www.', '')
except Exception:
return 'unknown'
def safe_divide(a: float, b: float, default: float = 0.0) -> float:
"""Safely divide two numbers"""
try:
return a / b if b != 0 else default
except (TypeError, ZeroDivisionError):
return default
def truncate_text(text: str, max_length: int = 100, suffix: str = "...") -> str:
"""Truncate text to specified length"""
if not text or len(text) <= max_length:
return text
return text[:max_length - len(suffix)] + suffix
def get_file_size_mb(filepath: str) -> float:
"""Get file size in MB"""
try:
size_bytes = os.path.getsize(filepath)
return round(size_bytes / (1024 * 1024), 2)
except Exception:
return 0.0
def ensure_directory(directory: str):
"""Ensure directory exists"""
try:
os.makedirs(directory, exist_ok=True)
except Exception as e:
logging.error(f"Failed to create directory {directory}: {str(e)}")
def load_json_file(filepath: str) -> Optional[Dict]:
"""Load JSON file safely"""
try:
with open(filepath, 'r', encoding='utf-8') as f:
return json.load(f)
except Exception as e:
logging.error(f"Failed to load JSON file {filepath}: {str(e)}")
return None
def save_json_file(data: Dict, filepath: str) -> bool:
"""Save data to JSON file safely"""
try:
ensure_directory(os.path.dirname(filepath))
with open(filepath, 'w', encoding='utf-8') as f:
json.dump(data, f, indent=2, default=str)
return True
except Exception as e:
logging.error(f"Failed to save JSON file {filepath}: {str(e)}")
return False
def merge_dictionaries(*dicts) -> Dict:
"""Merge multiple dictionaries"""
result = {}
for d in dicts:
if isinstance(d, dict):
result.update(d)
return result
def get_system_info() -> Dict[str, Any]:
"""Get basic system information"""
import platform
import psutil
try:
return {
'platform': platform.platform(),
'python_version': platform.python_version(),
'cpu_count': os.cpu_count(),
'memory_gb': round(psutil.virtual_memory().total / (1024**3), 2),
'available_memory_gb': round(psutil.virtual_memory().available / (1024**3), 2),
'disk_space_gb': round(psutil.disk_usage('/').total / (1024**3), 2)
}
except Exception as e:
logging.error(f"Failed to get system info: {str(e)}")
return {'error': str(e)}
def format_number(num: float, precision: int = 2) -> str:
"""Format number for display"""
try:
if abs(num) >= 1_000_000:
return f"{num / 1_000_000:.{precision}f}M"
elif abs(num) >= 1_000:
return f"{num / 1_000:.{precision}f}K"
else:
return f"{num:.{precision}f}"
except Exception:
return str(num)
def calculate_sentiment_distribution(articles: List[Dict]) -> Dict[str, Any]:
"""Calculate sentiment distribution statistics"""
try:
if not articles:
return {'positive': 0, 'negative': 0, 'neutral': 0, 'total': 0}
sentiments = []
for article in articles:
sentiment = article.get('sentiment', {})
compound = sentiment.get('compound', 0)
sentiments.append(compound)
positive_count = sum(1 for s in sentiments if s > 0.1)
negative_count = sum(1 for s in sentiments if s < -0.1)
neutral_count = len(sentiments) - positive_count - negative_count
avg_sentiment = sum(sentiments) / len(sentiments) if sentiments else 0
return {
'positive': positive_count,
'negative': negative_count,
'neutral': neutral_count,
'total': len(articles),
'average_sentiment': round(avg_sentiment, 3),
'positive_percentage': round((positive_count / len(articles)) * 100, 1),
'negative_percentage': round((negative_count / len(articles)) * 100, 1),
'neutral_percentage': round((neutral_count / len(articles)) * 100, 1)
}
except Exception as e:
logging.error(f"Sentiment distribution calculation failed: {str(e)}")
return {'positive': 0, 'negative': 0, 'neutral': 0, 'total': 0}
def create_progress_callback(progress_container=None):
"""Create a progress callback function for Streamlit"""
def callback(progress: int, status: str):
if progress_container:
try:
progress_container.progress(progress)
if hasattr(progress_container, 'text'):
progress_container.text(status)
except Exception as e:
logging.error(f"Progress callback error: {str(e)}")
else:
logging.info(f"Progress: {progress}% - {status}")
return callback
def validate_url(url: str) -> bool:
"""Validate if string is a valid URL"""
import re
url_pattern = re.compile(
r'^https?://' # http:// or https://
r'(?:(?:[A-Z0-9](?:[A-Z0-9-]{0,61}[A-Z0-9])?\.)+[A-Z]{2,6}\.?|' # domain...
r'localhost|' # localhost...
r'\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3})' # ...or ip
r'(?::\d+)?' # optional port
r'(?:/?|[/?]\S+)', # resource path
re.IGNORECASE
)
return url_pattern.match(url) is not None
class PerformanceTimer:
"""Context manager for timing operations"""
def __init__(self, operation_name: str = "Operation"):
self.operation_name = operation_name
self.start_time = None
self.end_time = None
def __enter__(self):
self.start_time = datetime.now()
logging.info(f"Starting {self.operation_name}")
return self
def __exit__(self, exc_type, exc_val, exc_tb):
self.end_time = datetime.now()
duration = (self.end_time - self.start_time).total_seconds()
logging.info(f"Completed {self.operation_name} in {duration:.2f} seconds")
@property
def duration(self) -> float:
if self.start_time and self.end_time:
return (self.end_time - self.start_time).total_seconds()
return 0.0
def retry_operation(func, max_attempts: int = 3, delay: float = 1.0):
"""Retry an operation with exponential backoff"""
import time
for attempt in range(max_attempts):
try:
return func()
except Exception as e:
if attempt == max_attempts - 1:
raise e
wait_time = delay * (2 ** attempt)
logging.warning(f"Attempt {attempt + 1} failed: {str(e)}. Retrying in {wait_time} seconds...")
time.sleep(wait_time)
return None