Delete config.py

config.py

@@ -1,118 +0,0 @@
-"""
-Configuration module for the Fake News Detector application.
-
-This module handles loading configuration parameters, API keys,
-and source credibility data needed for the fact checking system.
-It manages environment variables and file-based configurations.
-"""
-
-import os
-import json
-import logging
-from pathlib import Path
-
-# Configure logger
-logger = logging.getLogger("misinformation_detector")
-
-# Base paths
-ROOT_DIR = Path(__file__).parent.absolute()
-DATA_DIR = ROOT_DIR / "data"
-
-# Ensure data directory exists
-DATA_DIR.mkdir(exist_ok=True)
-
-# First try to get API keys from Streamlit secrets, then fall back to environment variables
-try:
-    import streamlit as st
-    OPENAI_API_KEY = st.secrets.get("OPENAI_API_KEY", os.environ.get("OPENAI_API_KEY", ""))
-    NEWS_API_KEY = st.secrets.get("NEWS_API_KEY", os.environ.get("NEWS_API_KEY", ""))
-    FACTCHECK_API_KEY = st.secrets.get("FACTCHECK_API_KEY", os.environ.get("FACTCHECK_API_KEY", ""))
-except (AttributeError, ImportError):
-    # Fall back to environment variables if Streamlit secrets aren't available
-    OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY", "")
-    NEWS_API_KEY = os.environ.get("NEWS_API_KEY", "")
-    FACTCHECK_API_KEY = os.environ.get("FACTCHECK_API_KEY", "")
-
-# Log secrets status (but not the values)
-if OPENAI_API_KEY:
-    logger.info("OPENAI_API_KEY is set")
-else:
-    logger.warning("OPENAI_API_KEY not set. The application will not function properly.")
-    
-if NEWS_API_KEY:
-    logger.info("NEWS_API_KEY is set")
-else:
-    logger.warning("NEWS_API_KEY not set. News evidence retrieval will be limited.")
-    
-if FACTCHECK_API_KEY:
-    logger.info("FACTCHECK_API_KEY is set")
-else:
-    logger.warning("FACTCHECK_API_KEY not set. Fact-checking evidence will be limited.")
-
-# Set API key in environment to ensure it's available to all components
-os.environ["OPENAI_API_KEY"] = OPENAI_API_KEY
-
-# Source credibility file path
-source_cred_file = DATA_DIR / "source_credibility.json"
-
-def load_source_credibility():
-    """
-    Load source credibility data from JSON file
-    
-    Returns:
-        dict: Mapping of domain names to credibility scores (0-1)
-              Empty dict if file is not found or has errors
-    """
-    try:
-        if source_cred_file.exists():
-            with open(source_cred_file, 'r') as f:
-                return json.load(f)
-        else:
-            logger.warning(f"Source credibility file not found: {source_cred_file}")
-            return {}
-    except Exception as e:
-        logger.error(f"Error loading source credibility file: {e}")
-        return {}
-
-# Load source credibility once at module import
-SOURCE_CREDIBILITY = load_source_credibility()
-
-# Rate limiting configuration
-RATE_LIMITS = {
-    # api_name: {"requests": max_requests, "period": period_in_seconds}
-    "newsapi": {"requests": 100, "period": 3600},  # 100 requests per hour
-    "factcheck": {"requests": 1000, "period": 86400},  # 1000 requests per day
-    "semantic_scholar": {"requests": 10, "period": 300},  # 10 requests per 5 minutes
-    "wikidata": {"requests": 60, "period": 60},  # 60 requests per minute
-    "wikipedia": {"requests": 200, "period": 60},  # 200 requests per minute
-    "rss": {"requests": 300, "period": 3600}  # 300 RSS requests per hour
-}
-
-# Error backoff settings
-ERROR_BACKOFF = {
-    "max_retries": 5,
-    "initial_backoff": 1,  # seconds
-    "backoff_factor": 2,  # exponential backoff
-}
-
-# RSS feed settings
-RSS_SETTINGS = {
-    "max_feeds_per_request": 10,  # Maximum number of feeds to try per request
-    "max_age_days": 3,            # Maximum age of RSS items to consider
-    "timeout_seconds": 5,         # Timeout for RSS feed requests
-    "max_workers": 5              # Number of parallel workers for fetching feeds
-}
-
-# Semantic analysis settings
-SEMANTIC_ANALYSIS_CONFIG = {
-    "similarity_weight": 0.4,      # Weight for semantic similarity
-    "entity_overlap_weight": 0.3,  # Weight for entity matching
-    "base_weight": 0.3,            # Base relevance weight
-    "temporal_boost": 1.2,         # Boost for recent evidence
-    "temporal_penalty": 0.7,       # Penalty for outdated evidence
-    "authority_boosts": {
-        "scientific_consensus": 1.8,
-        "fact_check": 1.5,
-        "high_authority": 1.3
-    }
-}