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60 changes: 54 additions & 6 deletions server/api/views/assistant/sanitizer.py
Original file line number Diff line number Diff line change
@@ -1,26 +1,74 @@
import re
import logging

logger = logging.getLogger(__name__)
def sanitize_input(user_input:str) -> str:
"""
Sanitize user input to prevent injection attacks and remove unwanted characters.

Args:
user_input (str): The raw input string from the user.

Returns:
str: The sanitized input string.
"""
try:
# Remove any script tags
sanitized = re.sub(r'<script.*?>.*?</script>', '', user_input, flags=re.IGNORECASE)
# Remove any HTML tags
sanitized = user_input

# Remove any style tags
sanitized = re.sub(r'<style.*?>.*?</style>', '', sanitized, flags=re.IGNORECASE)

# Remove any HTML/script tags
sanitized = re.sub(r'<.*?>', '', sanitized)

# Remove Phone Numbers
sanitized = re.sub(r'\+?\d[\d -]{8,}\d', '[Phone Number]', sanitized)

# Remove Email Addresses
sanitized = re.sub(r'[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}', '[Email Address]', sanitized)

# Remove Medical Record Numbers (simple pattern)
sanitized = re.sub(r'\bMRN[:\s]*\d+\b', '[Medical Record Number]', sanitized, flags=re.IGNORECASE)

# Normalize pronouns
sanitized = normalize_pronouns(sanitized)

# Escape special characters
sanitized = re.sub(r'["\'\\]', '', sanitized)
sanitized = re.sub(r'\s+', '', sanitized)

# Limit length to prevent buffer overflow attacks
max_length = 1000
max_length = 5000
if len(sanitized) > max_length:
sanitized = sanitized[:max_length]

return sanitized.strip()
except Exception as e:
logger.error(f"Error sanitizing input: {e}")
return ""
return ""

def normalize_pronouns(text:str) -> str:
"""
Normalize first and second person pronouns to third person clinical language.

Converts patient centric pronouns to a more neutral form.
Args:
text (str): The input text containing pronouns.
Returns:
str: The text with normalized pronouns.
"""
# Normalize first person possessives: I, me, my, mine -> the patient
text = re.sub(r'\bMy\b', 'The patient\'s', text)
text = re.sub(r'\bmy\b', 'the patient\'s', text)

# First person subject: I -> the patient
text = re.sub(r'\bI\b', 'the patient', text)

# First person object: me -> the patient
text = re.sub(r'\bme\b', 'the patient', text)

# First person reflexive: myself -> the patient
text = re.sub(r'\bmyself\b', 'the patient', text)

# Second person: you, your -> the clinician
text = re.sub(r'\bYour\b', 'the clinician', text)
return text