Update genesis/biosecurity.py

genesis/biosecurity.py

@@ -1,30 +1,74 @@
 # genesis/biosecurity.py
 """
-Biosecurity intelligence module for GENESIS-AI
-Fetches latest biosecurity guidelines, laws, and alerts globally.
+Biosecurity Risk Assessment Module for GENESIS-AI
+Analyzes potential dual-use or misuse risks of synthetic biology research.
 """
 
-import requests
-import os
-
-BIOPORTAL_API_KEY = os.getenv("BIOPORTAL_API_KEY")
-WHO_BIOSECURITY_FEED = "https://www.who.int/feeds/entity/csr/don/en/rss.xml"  # Example WHO disease outbreak feed
-
-def get_who_biosecurity_updates():
-    """Fetch latest biosecurity updates from WHO RSS."""
-    try:
-        r = requests.get(WHO_BIOSECURITY_FEED)
-        r.raise_for_status()
-        return r.text  # Can parse XML later in app.py for display
-    except Exception as e:
-        return {"error": str(e)}
-
-def search_biosecurity_terms(term):
-    """Search BioPortal for biosecurity-related ontology terms."""
-    try:
-        url = f"https://data.bioontology.org/search?q={term}&apikey={BIOPORTAL_API_KEY}"
-        r = requests.get(url)
-        r.raise_for_status()
-        return r.json()
-    except Exception as e:
-        return {"error": str(e)}
+import logging
+
+logging.basicConfig(level=logging.INFO)
+
+def analyze_biosecurity_risks(entity_name: str, description: str = ""):
+    """
+    Analyze biosecurity risks for a given entity (gene, protein, organism, or technology).
+    Returns a structured dictionary of risks, severity, and mitigation suggestions.
+    
+    Args:
+        entity_name (str): Name of the biological entity.
+        description (str, optional): Additional context or description.
+    
+    Returns:
+        dict: Biosecurity risk profile.
+    """
+    logging.info(f"[Biosecurity] Assessing risks for: {entity_name}")
+
+    # Simple keyword-based heuristic
+    high_risk_keywords = ["smallpox", "anthrax", "ebola", "h5n1", "plague", "ricin", "botulinum"]
+    medium_risk_keywords = ["viral vector", "gain-of-function", "CRISPR", "dual-use"]
+
+    risk_level = "Low"
+    risk_factors = []
+
+    text_to_check = f"{entity_name} {description}".lower()
+
+    for kw in high_risk_keywords:
+        if kw in text_to_check:
+            risk_level = "High"
+            risk_factors.append(f"Contains high-risk keyword: {kw}")
+
+    if risk_level != "High":
+        for kw in medium_risk_keywords:
+            if kw in text_to_check:
+                risk_level = "Medium"
+                risk_factors.append(f"Contains medium-risk keyword: {kw}")
+
+    # If no match, still return low risk baseline
+    if not risk_factors:
+        risk_factors.append("No known high/medium risk indicators detected.")
+
+    mitigation_suggestions = []
+    if risk_level == "High":
+        mitigation_suggestions = [
+            "Engage institutional biosecurity committee immediately.",
+            "Restrict access to authorized personnel.",
+            "Perform BSL-3/BSL-4 lab containment assessment.",
+            "Consult WHO guidance for dangerous pathogens."
+        ]
+    elif risk_level == "Medium":
+        mitigation_suggestions = [
+            "Review project with bioethics board.",
+            "Use gene synthesis screening services.",
+            "Ensure compliance with NIH and WHO guidelines."
+        ]
+    else:
+        mitigation_suggestions = [
+            "Maintain good laboratory practices.",
+            "Continue monitoring for any emerging risks."
+        ]
+
+    return {
+        "entity": entity_name,
+        "risk_level": risk_level,
+        "risk_factors": risk_factors,
+        "mitigation": mitigation_suggestions
+    }