importosimporthashlibimporthmacimporttimeimportsecretsfromtypingimportDict, Any, Optional, ListfromdataclassesimportdataclassfromenumimportEnumimportjwtfromcryptography.fernetimportFernetfromcryptography.hazmat.primitivesimporthashesfromcryptography.hazmat.primitives.kdf.pbkdf2importPBKDF2HMACimportbase64classSecurityLevel(Enum):
"""Security level classification"""LOW="low"MEDIUM="medium"HIGH="high"CRITICAL="critical"@dataclassclassSecurityContext:
"""Security context for API operations"""user_id: strsession_id: strip_address: struser_agent: strtimestamp: floatsecurity_level: SecurityLevelpermissions: List[str]
defis_expired(self, timeout_seconds: int=3600) ->bool:
"""Check if security context has expired"""returntime.time() -self.timestamp>timeout_secondsdefhas_permission(self, required_permission: str) ->bool:
"""Check if context has required permission"""returnrequired_permissioninself.permissionsclassSecureAxiomClient:
""" Security-hardened AxiomTradeAPI client Production security practices from chipa.tech security team """def__init__(self, config: Dict[str, Any]):
self.config=configself.encryption_key=self._derive_encryption_key()
self.security_context: Optional[SecurityContext] =Noneself.rate_limiter=APIRateLimiter()
self.audit_logger=SecurityAuditLogger()
# Security validationself._validate_security_config()
def_validate_security_config(self):
"""Validate security configuration"""required_settings= [
'api_token_encrypted',
'encryption_password',
'allowed_ips',
'max_request_rate',
'session_timeout'
]
forsettinginrequired_settings:
ifsettingnotinself.config:
raiseSecurityError(f"Missing required security setting: {setting}")
# Validate token encryptionifnotself._is_token_encrypted():
raiseSecurityError("API token must be encrypted in configuration")
def_derive_encryption_key(self) ->Fernet:
"""Derive encryption key from password"""password=self.config['encryption_password'].encode()
salt=self.config.get('encryption_salt', b'stable_salt').encode()
kdf=PBKDF2HMAC(
algorithm=hashes.SHA256(),
length=32,
salt=salt,
iterations=100000,
)
key=base64.urlsafe_b64encode(kdf.derive(password))
returnFernet(key)
def_is_token_encrypted(self) ->bool:
"""Check if API token is encrypted"""token=self.config.get('api_token_encrypted', '')
try:
self.encryption_key.decrypt(token.encode())
returnTrueexcept:
returnFalsedefget_decrypted_token(self) ->str:
"""Safely decrypt API token"""encrypted_token=self.config['api_token_encrypted']
try:
decrypted=self.encryption_key.decrypt(encrypted_token.encode())
returndecrypted.decode()
exceptExceptionase:
raiseSecurityError(f"Failed to decrypt API token: {e}")
defencrypt_sensitive_data(self, data: str) ->str:
"""Encrypt sensitive data"""returnself.encryption_key.encrypt(data.encode()).decode()
defdecrypt_sensitive_data(self, encrypted_data: str) ->str:
"""Decrypt sensitive data"""returnself.encryption_key.decrypt(encrypted_data.encode()).decode()
classSecurityError(Exception):
"""Security-related exceptions"""pass

importkeyringimportgetpassfrompathlibimportPathimportjsonclassSecureTokenManager:
""" Secure API token management system Enterprise token security from chipa.tech security infrastructure """def__init__(self, service_name: str="AxiomTradeAPI"):
self.service_name=service_nameself.config_dir=Path.home() /'.axiomtradeapi'self.config_dir.mkdir(exist_ok=True, mode=0o700) # Owner read/write onlydefstore_token_securely(self, token: str, username: str="default") ->bool:
"""Store API token securely using system keyring"""try:
# Validate token formatifnotself._validate_token_format(token):
raiseSecurityError("Invalid token format")
# Store in system keyringkeyring.set_password(self.service_name, username, token)
# Store metadata (non-sensitive)metadata= {
'username': username,
'created_at': time.time(),
'last_used': None,
'usage_count': 0
}
metadata_path=self.config_dir/f"{username}_metadata.json"withopen(metadata_path, 'w') asf:
json.dump(metadata, f, indent=2)
# Set secure file permissionsmetadata_path.chmod(0o600)
print(f"✅ Token stored securely for user: {username}")
returnTrueexceptExceptionase:
print(f"❌ Failed to store token: {e}")
returnFalsedefretrieve_token_securely(self, username: str="default") ->Optional[str]:
"""Retrieve API token securely from system keyring"""try:
token=keyring.get_password(self.service_name, username)
iftoken:
# Update usage metadataself._update_token_usage(username)
# Validate token before returningifself._validate_token_format(token):
returntokenelse:
print("⚠️ Retrieved token appears invalid")
returnNonereturnNoneexceptExceptionase:
print(f"❌ Failed to retrieve token: {e}")
returnNonedefdelete_token(self, username: str="default") ->bool:
"""Securely delete stored token"""try:
keyring.delete_password(self.service_name, username)
# Remove metadata filemetadata_path=self.config_dir/f"{username}_metadata.json"ifmetadata_path.exists():
metadata_path.unlink()
print(f"✅ Token deleted for user: {username}")
returnTrueexceptExceptionase:
print(f"❌ Failed to delete token: {e}")
returnFalsedefrotate_token(self, old_username: str, new_token: str, new_username: str=None) ->bool:
"""Rotate API token securely"""new_username=new_usernameorold_usernametry:
# Store new tokenifself.store_token_securely(new_token, new_username):
# Delete old token if username is differentifnew_username!=old_username:
self.delete_token(old_username)
print(f"✅ Token rotated successfully")
returnTruereturnFalseexceptExceptionase:
print(f"❌ Token rotation failed: {e}")
returnFalsedef_validate_token_format(self, token: str) ->bool:
"""Validate API token format"""ifnottokenorlen(token) <32:
returnFalse# Add specific validation for AxiomTradeAPI token format# This would depend on your actual token formatreturnTruedef_update_token_usage(self, username: str):
"""Update token usage metadata"""try:
metadata_path=self.config_dir/f"{username}_metadata.json"ifmetadata_path.exists():
withopen(metadata_path, 'r') asf:
metadata=json.load(f)
metadata['last_used'] =time.time()
metadata['usage_count'] =metadata.get('usage_count', 0) +1withopen(metadata_path, 'w') asf:
json.dump(metadata, f, indent=2)
exceptExceptionase:
# Don't fail token retrieval due to metadata issuesprint(f"⚠️ Failed to update token metadata: {e}")
deflist_stored_tokens(self) ->List[Dict[str, Any]]:
"""List all stored tokens (metadata only)"""tokens= []
formetadata_fileinself.config_dir.glob("*_metadata.json"):
try:
withopen(metadata_file, 'r') asf:
metadata=json.load(f)
# Check if token still exists in keyringusername=metadata['username']
token_exists=keyring.get_password(self.service_name, username) isnotNonemetadata['token_exists'] =token_existstokens.append(metadata)
exceptExceptionase:
print(f"⚠️ Error reading metadata for {metadata_file}: {e}")
returntokens# Environment-based token managementclassEnvironmentTokenManager:
"""Manage tokens through environment variables with security checks"""@staticmethoddefget_token_from_env(var_name: str="AXIOM_API_TOKEN") ->Optional[str]:
"""Get token from environment variable with security validation"""token=os.getenv(var_name)
ifnottoken:
returnNone# Validate environment securityifnotEnvironmentTokenManager._is_environment_secure():
raiseSecurityError("Environment is not secure for token storage")
returntoken@staticmethoddef_is_environment_secure() ->bool:
"""Check if current environment is secure for token storage"""# Check if running in production environmentenv=os.getenv('ENVIRONMENT', 'development').lower()
# Production environments should have additional securityifenv=='production':
# Check for required security environment variablesrequired_vars= ['SECURITY_LEVEL', 'ENCRYPTION_KEY', 'ACCESS_LOG_ENABLED']
forvarinrequired_vars:
ifnotos.getenv(var):
returnFalse# Check file permissions (Unix-like systems)try:
importstatcurrent_file=os.path.abspath(__file__)
file_stat=os.stat(current_file)
# Check if file is world-readableiffile_stat.st_mode&stat.S_IROTH:
returnFalseexceptException:
pass# Skip permission check on WindowsreturnTrue

importschedulefromdatetimeimportdatetime, timedeltafromtypingimportCallableclassTokenLifecycleManager:
""" Automated token lifecycle management Security automation from chipa.tech token management system """def__init__(self, token_manager: SecureTokenManager):
self.token_manager=token_managerself.rotation_callbacks: List[Callable] = []
self.expiration_warning_days=7defsetup_automatic_rotation(self, rotation_interval_days: int=30):
"""Setup automatic token rotation"""defrotate_tokens():
"""Automatic token rotation job"""try:
print("🔄 Starting automatic token rotation...")
# Get all stored tokenstokens=self.token_manager.list_stored_tokens()
fortoken_infointokens:
username=token_info['username']
created_at=token_info.get('created_at', 0)
# Check if token needs rotationage_days= (time.time() -created_at) / (24*3600)
ifage_days>=rotation_interval_days:
print(f"🔄 Rotating token for user: {username}")
# Generate new token (this would call your API)new_token=self._generate_new_token(username)
ifnew_token:
self.token_manager.rotate_token(username, new_token)
# Notify callbacksforcallbackinself.rotation_callbacks:
callback(username, new_token)
exceptExceptionase:
print(f"❌ Automatic token rotation failed: {e}")
# Schedule rotationschedule.every(rotation_interval_days).days.do(rotate_tokens)
print(f"⏰ Scheduled automatic token rotation every {rotation_interval_days} days")
defcheck_token_expiration(self) ->List[Dict[str, Any]]:
"""Check for tokens nearing expiration"""expiring_tokens= []
tokens=self.token_manager.list_stored_tokens()
fortoken_infointokens:
username=token_info['username']
created_at=token_info.get('created_at', 0)
# Calculate days until expiration (assuming 90-day token lifetime)age_days= (time.time() -created_at) / (24*3600)
days_until_expiration=90-age_daysifdays_until_expiration<=self.expiration_warning_days:
expiring_tokens.append({
'username': username,
'days_until_expiration': days_until_expiration,
'created_at': datetime.fromtimestamp(created_at).isoformat()
})
returnexpiring_tokensdefadd_rotation_callback(self, callback: Callable[[str, str], None]):
"""Add callback for token rotation events"""self.rotation_callbacks.append(callback)
def_generate_new_token(self, username: str) ->Optional[str]:
"""Generate new API token (placeholder - implement actual API call)"""# This would call your API to generate a new token# For security, this should require additional authenticationprint(f"📡 Generating new token for {username}...")
# Placeholder implementationreturnf"new_token_{int(time.time())}_{username}"defrun_scheduler(self):
"""Run the token lifecycle scheduler"""print("🚀 Starting token lifecycle scheduler...")
whileTrue:
schedule.run_pending()
time.sleep(3600) # Check every hour

importhmacimporthashlibimportjsonfromurllib.parseimporturlencodeclassRequestSigner:
""" Request signing for additional security Cryptographic security from chipa.tech authentication system """def__init__(self, secret_key: str):
self.secret_key=secret_key.encode()
defsign_request(self, method: str, endpoint: str, params: Dict[str, Any] =None,
body: str=None, timestamp: int=None) ->Dict[str, str]:
"""Sign API request for additional security"""timestamp=timestamporint(time.time())
# Create signature payloadsignature_payload=self._create_signature_payload(
method, endpoint, params, body, timestamp
)
# Generate signaturesignature=hmac.new(
self.secret_key,
signature_payload.encode(),
hashlib.sha256
).hexdigest()
return {
'X-Axiom-Timestamp': str(timestamp),
'X-Axiom-Signature': signature,
'X-Axiom-Version': '1.0'
}
defverify_signature(self, received_signature: str, method: str, endpoint: str,
params: Dict[str, Any] =None, body: str=None,
timestamp: int=None) ->bool:
"""Verify request signature"""# Check timestamp freshness (prevent replay attacks)iftimestampandabs(int(time.time()) -timestamp) >300: # 5 minutesreturnFalse# Calculate expected signatureexpected_headers=self.sign_request(method, endpoint, params, body, timestamp)
expected_signature=expected_headers['X-Axiom-Signature']
# Use constant-time comparison to prevent timing attacksreturnhmac.compare_digest(expected_signature, received_signature)
def_create_signature_payload(self, method: str, endpoint: str,
params: Dict[str, Any] =None, body: str=None,
timestamp: int=None) ->str:
"""Create standardized signature payload"""# Normalize parametersifparams:
sorted_params=urlencode(sorted(params.items()))
else:
sorted_params=""# Create payloadpayload_parts= [
method.upper(),
endpoint,
sorted_params,
bodyor"",
str(timestamp)
]
return'\n'.join(payload_parts)
classSecureHTTPClient:
"""HTTP client with enhanced security features"""def__init__(self, base_url: str, token_manager: SecureTokenManager,
request_signer: RequestSigner=None):
self.base_url=base_urlself.token_manager=token_managerself.request_signer=request_signerself.session_manager=SessionManager()
asyncdefmake_secure_request(self, method: str, endpoint: str,
params: Dict[str, Any] =None,
json_data: Dict[str, Any] =None) ->Dict[str, Any]:
"""Make secure API request with full security features"""# Get secure tokentoken=self.token_manager.retrieve_token_securely()
ifnottoken:
raiseSecurityError("No valid API token available")
# Prepare headersheaders= {
'Authorization': f'Bearer {token}',
'Content-Type': 'application/json',
'User-Agent': 'AxiomTradeAPI-SecureClient/1.0',
'X-Request-ID': self._generate_request_id()
}
# Add request signature if signer is availableifself.request_signer:
body=json.dumps(json_data) ifjson_dataelseNonesignature_headers=self.request_signer.sign_request(
method, endpoint, params, body
)
headers.update(signature_headers)
# Add security headersheaders.update({
'X-Content-Type-Options': 'nosniff',
'X-Frame-Options': 'DENY',
'X-XSS-Protection': '1; mode=block'
})
# Log security eventself._log_security_event('api_request', {
'method': method,
'endpoint': endpoint,
'request_id': headers['X-Request-ID']
})
# Make request with timeout and retriesreturnawaitself._execute_request(method, endpoint, headers, params, json_data)
def_generate_request_id(self) ->str:
"""Generate unique request ID"""importuuidreturnstr(uuid.uuid4())
def_log_security_event(self, event_type: str, details: Dict[str, Any]):
"""Log security-related events"""# Implementation would integrate with your security logging systempassasyncdef_execute_request(self, method: str, endpoint: str, headers: Dict[str, str],
params: Dict[str, Any], json_data: Dict[str, Any]) ->Dict[str, Any]:
"""Execute HTTP request with security controls"""# Implementation would use your preferred HTTP client (aiohttp, httpx, etc.)# with proper timeout, retry, and error handlingpass

fromcryptography.fernetimportFernetfromcryptography.hazmat.primitivesimportserialization, hashesfromcryptography.hazmat.primitives.asymmetricimportrsa, paddingimportreimportloggingclassDataProtectionManager:
""" Comprehensive data protection system Data security practices from chipa.tech privacy engineering """def__init__(self, encryption_key: bytes=None):
self.symmetric_cipher=Fernet(encryption_keyorFernet.generate_key())
self.sensitive_patterns=self._compile_sensitive_patterns()
def_compile_sensitive_patterns(self) ->List:
"""Compile regex patterns for sensitive data detection"""patterns= [
(re.compile(r'\b[A-Za-z0-9]{43,44}\b'), 'SOLANA_ADDRESS'), # Solana addresses
(re.compile(r'\b[A-Za-z0-9+/]{40,}\b'), 'API_TOKEN'), # API tokens
(re.compile(r'\b\d{16,19}\b'), 'CARD_NUMBER'), # Credit card numbers
(re.compile(r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b'), 'EMAIL'),
(re.compile(r'\b(?:\d{1,3}\.){3}\d{1,3}\b'), 'IP_ADDRESS'), # IP addresses
]
returnpatternsdefencrypt_sensitive_data(self, data: str) ->str:
"""Encrypt sensitive data for storage"""try:
encrypted=self.symmetric_cipher.encrypt(data.encode())
returnbase64.urlsafe_b64encode(encrypted).decode()
exceptExceptionase:
raiseSecurityError(f"Encryption failed: {e}")
defdecrypt_sensitive_data(self, encrypted_data: str) ->str:
"""Decrypt sensitive data"""try:
decoded=base64.urlsafe_b64decode(encrypted_data.encode())
decrypted=self.symmetric_cipher.decrypt(decoded)
returndecrypted.decode()
exceptExceptionase:
raiseSecurityError(f"Decryption failed: {e}")
defsanitize_logs(self, log_message: str) ->str:
"""Sanitize log messages to remove sensitive data"""sanitized=log_messageforpattern, data_typeinself.sensitive_patterns:
defreplace_match(match):
original=match.group()
masked_length=min(len(original), 8)
returnf"[{data_type}:{original[:2]}{'*'* (masked_length-4)}{original[-2:]}]"sanitized=pattern.sub(replace_match, sanitized)
returnsanitizeddefdetect_sensitive_data(self, text: str) ->List[Dict[str, Any]]:
"""Detect sensitive data in text"""detected= []
forpattern, data_typeinself.sensitive_patterns:
matches=pattern.finditer(text)
formatchinmatches:
detected.append({
'type': data_type,
'value': match.group(),
'start': match.start(),
'end': match.end()
})
returndetecteddefsecure_delete_file(self, file_path: str):
"""Securely delete file (overwrite before deletion)"""try:
ifos.path.exists(file_path):
# Get file sizefile_size=os.path.getsize(file_path)
# Overwrite with random data multiple timeswithopen(file_path, 'r+b') asfile:
for_inrange(3): # 3 passesfile.seek(0)
file.write(os.urandom(file_size))
file.flush()
os.fsync(file.fileno())
# Delete the fileos.remove(file_path)
print(f"🗑️ File securely deleted: {file_path}")
exceptExceptionase:
print(f"❌ Secure deletion failed: {e}")
classSecurePersistentStorage:
"""Secure storage for persistent data"""def__init__(self, storage_path: str, encryption_key: bytes):
self.storage_path=Path(storage_path)
self.storage_path.mkdir(exist_ok=True, mode=0o700)
self.cipher=Fernet(encryption_key)
defstore_encrypted(self, key: str, data: Any) ->bool:
"""Store data with encryption"""try:
# Serialize and encrypt dataserialized=json.dumps(data, default=str)
encrypted=self.cipher.encrypt(serialized.encode())
# Store to filefile_path=self.storage_path/f"{key}.enc"withopen(file_path, 'wb') asf:
f.write(encrypted)
# Set secure permissionsfile_path.chmod(0o600)
returnTrueexceptExceptionase:
print(f"❌ Failed to store encrypted data: {e}")
returnFalsedefretrieve_encrypted(self, key: str) ->Optional[Any]:
"""Retrieve and decrypt data"""try:
file_path=self.storage_path/f"{key}.enc"ifnotfile_path.exists():
returnNone# Read and decryptwithopen(file_path, 'rb') asf:
encrypted=f.read()
decrypted=self.cipher.decrypt(encrypted)
returnjson.loads(decrypted.decode())
exceptExceptionase:
print(f"❌ Failed to retrieve encrypted data: {e}")
returnNonedefdelete_encrypted(self, key: str) ->bool:
"""Securely delete encrypted data"""try:
file_path=self.storage_path/f"{key}.enc"iffile_path.exists():
# Secure deletionDataProtectionManager().secure_delete_file(str(file_path))
returnTruereturnFalseexceptExceptionase:
print(f"❌ Failed to delete encrypted data: {e}")
returnFalse

fromenumimportEnumfromtypingimportSet, Dict, ListfromdataclassesimportdataclassfromfunctoolsimportwrapsclassPermission(Enum):
"""System permissions"""READ_BALANCE="read_balance"READ_TRANSACTIONS="read_transactions"EXECUTE_TRADES="execute_trades"MANAGE_WEBHOOKS="manage_webhooks"ADMIN_ACCESS="admin_access"READ_MARKET_DATA="read_market_data"MANAGE_API_KEYS="manage_api_keys"classRole(Enum):
"""System roles"""VIEWER="viewer"TRADER="trader"PREMIUM_TRADER="premium_trader"ADMIN="admin"@dataclassclassUser:
"""User with security context"""user_id: strusername: strroles: Set[Role]
permissions: Set[Permission]
ip_whitelist: List[str]
active: bool=Truedefhas_permission(self, permission: Permission) ->bool:
"""Check if user has specific permission"""returnpermissioninself.permissionsdefhas_role(self, role: Role) ->bool:
"""Check if user has specific role"""returnroleinself.rolesdefis_ip_allowed(self, ip_address: str) ->bool:
"""Check if IP address is whitelisted"""ifnotself.ip_whitelist:
returnTrue# No restrictionsreturnip_addressinself.ip_whitelistclassAccessControlManager:
""" Role-based access control system Enterprise access control from chipa.tech security platform """def__init__(self):
self.users: Dict[str, User] = {}
self.role_permissions=self._initialize_role_permissions()
self.session_store= {} # In production, use Redis or similardef_initialize_role_permissions(self) ->Dict[Role, Set[Permission]]:
"""Initialize default role permissions"""return {
Role.VIEWER: {
Permission.READ_BALANCE,
Permission.READ_MARKET_DATA
},
Role.TRADER: {
Permission.READ_BALANCE,
Permission.READ_TRANSACTIONS,
Permission.READ_MARKET_DATA,
Permission.EXECUTE_TRADES
},
Role.PREMIUM_TRADER: {
Permission.READ_BALANCE,
Permission.READ_TRANSACTIONS,
Permission.READ_MARKET_DATA,
Permission.EXECUTE_TRADES,
Permission.MANAGE_WEBHOOKS
},
Role.ADMIN: set(Permission) # All permissions
}
defcreate_user(self, user_id: str, username: str, roles: List[Role],
ip_whitelist: List[str] =None) ->User:
"""Create new user with specified roles"""# Calculate permissions from rolespermissions=set()
forroleinroles:
permissions.update(self.role_permissions.get(role, set()))
user=User(
user_id=user_id,
username=username,
roles=set(roles),
permissions=permissions,
ip_whitelist=ip_whitelistor []
)
self.users[user_id] =userreturnuserdefauthenticate_user(self, user_id: str, ip_address: str) ->Optional[User]:
"""Authenticate user and check access"""user=self.users.get(user_id)
ifnotuser:
returnNoneifnotuser.active:
raiseSecurityError("User account is inactive")
ifnotuser.is_ip_allowed(ip_address):
raiseSecurityError(f"IP address {ip_address} not whitelisted")
returnuserdefrequire_permission(self, permission: Permission):
"""Decorator for requiring specific permission"""defdecorator(func):
@wraps(func)asyncdefasync_wrapper(*args, **kwargs):
# Extract user from context (implementation specific)user=self._get_current_user()
ifnotuser:
raiseSecurityError("Authentication required")
ifnotuser.has_permission(permission):
raiseSecurityError(f"Permission {permission.value} required")
returnawaitfunc(*args, **kwargs)
@wraps(func)defsync_wrapper(*args, **kwargs):
user=self._get_current_user()
ifnotuser:
raiseSecurityError("Authentication required")
ifnotuser.has_permission(permission):
raiseSecurityError(f"Permission {permission.value} required")
returnfunc(*args, **kwargs)
returnasync_wrapperifasyncio.iscoroutinefunction(func) elsesync_wrapperreturndecoratordef_get_current_user(self) ->Optional[User]:
"""Get current user from context (implementation specific)"""# This would be implemented based on your authentication system# Could use thread-local storage, asyncio context vars, etc.pass# Usage example with AxiomTradeAPIclassSecureAxiomTradeAPI:
"""Secure AxiomTradeAPI with access control"""def__init__(self, token_manager: SecureTokenManager):
self.token_manager=token_managerself.access_control=AccessControlManager()
self.audit_logger=SecurityAuditLogger()
@AccessControlManager().require_permission(Permission.READ_BALANCE)asyncdefget_balance(self, wallet_address: str) ->Dict[str, Any]:
"""Get wallet balance with access control"""# Log access attemptself.audit_logger.log_access_attempt(
'get_balance',
{'wallet_address': wallet_address}
)
# Implement actual balance retrievalreturnawaitself._internal_get_balance(wallet_address)
@AccessControlManager().require_permission(Permission.EXECUTE_TRADES)asyncdefexecute_trade(self, trade_params: Dict[str, Any]) ->Dict[str, Any]:
"""Execute trade with access control"""# Log trade attemptself.audit_logger.log_access_attempt(
'execute_trade',
{'trade_params': trade_params}
)
# Additional security checks for tradesifnotself._validate_trade_params(trade_params):
raiseSecurityError("Invalid trade parameters")
# Implement actual trade executionreturnawaitself._internal_execute_trade(trade_params)
def_validate_trade_params(self, params: Dict[str, Any]) ->bool:
"""Validate trade parameters for security"""required_fields= ['amount', 'token_address', 'wallet_address']
forfieldinrequired_fields:
iffieldnotinparams:
returnFalse# Additional validation logicreturnTrueasyncdef_internal_get_balance(self, wallet_address: str) ->Dict[str, Any]:
"""Internal balance retrieval implementation"""passasyncdef_internal_execute_trade(self, trade_params: Dict[str, Any]) ->Dict[str, Any]:
"""Internal trade execution implementation"""pass

importjsonimporttimefromdatetimeimportdatetimefromtypingimportDict, Any, List, Optionalfromdataclassesimportdataclass, asdictfromenumimportEnumclassSecurityEventType(Enum):
"""Security event types"""LOGIN_SUCCESS="login_success"LOGIN_FAILURE="login_failure"API_ACCESS="api_access"PERMISSION_DENIED="permission_denied"TOKEN_ROTATION="token_rotation"SUSPICIOUS_ACTIVITY="suspicious_activity"DATA_ACCESS="data_access"SECURITY_VIOLATION="security_violation"@dataclassclassSecurityEvent:
"""Security event record"""event_type: SecurityEventTypeuser_id: strip_address: struser_agent: strtimestamp: floatdetails: Dict[str, Any]
risk_level: strsession_id: Optional[str] =Nonedefto_dict(self) ->Dict[str, Any]:
"""Convert to dictionary for logging"""return {
'event_type': self.event_type.value,
'user_id': self.user_id,
'ip_address': self.ip_address,
'user_agent': self.user_agent,
'timestamp': self.timestamp,
'datetime': datetime.fromtimestamp(self.timestamp).isoformat(),
'details': self.details,
'risk_level': self.risk_level,
'session_id': self.session_id
}
classSecurityAuditLogger:
""" Comprehensive security audit logging system Security monitoring from chipa.tech security operations center """def__init__(self, log_file: str="security_audit.log"):
self.log_file=log_fileself.risk_analyzer=SecurityRiskAnalyzer()
# Setup security loggerself.logger=logging.getLogger('security_audit')
self.logger.setLevel(logging.INFO)
# File handler for security eventshandler=logging.FileHandler(log_file)
formatter=logging.Formatter(
'%(asctime)s - SECURITY - %(levelname)s - %(message)s'
)
handler.setFormatter(formatter)
self.logger.addHandler(handler)
deflog_security_event(self, event_type: SecurityEventType, user_id: str,
ip_address: str, user_agent: str, details: Dict[str, Any],
session_id: str=None):
"""Log security event"""# Analyze risk levelrisk_level=self.risk_analyzer.calculate_risk_level(
event_type, user_id, ip_address, details
)
# Create security eventevent=SecurityEvent(
event_type=event_type,
user_id=user_id,
ip_address=ip_address,
user_agent=user_agent,
timestamp=time.time(),
details=details,
risk_level=risk_level,
session_id=session_id
)
# Log eventself.logger.info(json.dumps(event.to_dict()))
# Handle high-risk eventsifrisk_levelin ['HIGH', 'CRITICAL']:
self._handle_high_risk_event(event)
deflog_access_attempt(self, operation: str, parameters: Dict[str, Any],
user_id: str=None, ip_address: str=None):
"""Log API access attempt"""# Get user context (implementation specific)user_id=user_idorself._get_current_user_id()
ip_address=ip_addressorself._get_current_ip()
user_agent=self._get_current_user_agent()
self.log_security_event(
SecurityEventType.API_ACCESS,
user_id,
ip_address,
user_agent,
{
'operation': operation,
'parameters': self._sanitize_parameters(parameters)
}
)
deflog_permission_denied(self, operation: str, required_permission: str,
user_id: str=None):
"""Log permission denied event"""user_id=user_idorself._get_current_user_id()
ip_address=self._get_current_ip()
user_agent=self._get_current_user_agent()
self.log_security_event(
SecurityEventType.PERMISSION_DENIED,
user_id,
ip_address,
user_agent,
{
'operation': operation,
'required_permission': required_permission
}
)
deflog_suspicious_activity(self, activity_type: str, details: Dict[str, Any]):
"""Log suspicious activity"""user_id=self._get_current_user_id()
ip_address=self._get_current_ip()
user_agent=self._get_current_user_agent()
self.log_security_event(
SecurityEventType.SUSPICIOUS_ACTIVITY,
user_id,
ip_address,
user_agent,
{
'activity_type': activity_type,
'details': details
}
)
def_handle_high_risk_event(self, event: SecurityEvent):
"""Handle high-risk security events"""print(f"🚨 HIGH RISK SECURITY EVENT: {event.event_type.value}")
print(f" User: {event.user_id}")
print(f" IP: {event.ip_address}")
print(f" Risk Level: {event.risk_level}")
# In production, this would:# - Send alerts to security team# - Trigger automated responses# - Update threat intelligence# - Potentially block IP/userdef_sanitize_parameters(self, params: Dict[str, Any]) ->Dict[str, Any]:
"""Sanitize parameters for logging"""sanitized= {}
sensitive_keys= ['token', 'password', 'secret', 'key', 'private']
forkey, valueinparams.items():
ifany(sensitiveinkey.lower() forsensitiveinsensitive_keys):
sanitized[key] ="[REDACTED]"else:
sanitized[key] =str(value)[:100] # Limit lengthreturnsanitizeddef_get_current_user_id(self) ->str:
"""Get current user ID from context"""# Implementation specificreturn"unknown"def_get_current_ip(self) ->str:
"""Get current IP address from context"""# Implementation specificreturn"0.0.0.0"def_get_current_user_agent(self) ->str:
"""Get current user agent from context"""# Implementation specificreturn"Unknown"classSecurityRiskAnalyzer:
"""Analyze security risk levels"""def__init__(self):
self.risk_patterns=self._load_risk_patterns()
self.user_behavior_baselines= {}
defcalculate_risk_level(self, event_type: SecurityEventType, user_id: str,
ip_address: str, details: Dict[str, Any]) ->str:
"""Calculate risk level for security event"""risk_score=0# Base risk by event typebase_risks= {
SecurityEventType.LOGIN_FAILURE: 30,
SecurityEventType.PERMISSION_DENIED: 20,
SecurityEventType.SUSPICIOUS_ACTIVITY: 50,
SecurityEventType.SECURITY_VIOLATION: 80,
SecurityEventType.API_ACCESS: 5
}
risk_score+=base_risks.get(event_type, 10)
# IP-based risk factorsrisk_score+=self._analyze_ip_risk(ip_address)
# User behavior analysisrisk_score+=self._analyze_user_behavior(user_id, event_type)
# Time-based analysisrisk_score+=self._analyze_time_patterns()
# Convert score to risk levelifrisk_score>=80:
return"CRITICAL"elifrisk_score>=60:
return"HIGH"elifrisk_score>=30:
return"MEDIUM"else:
return"LOW"def_analyze_ip_risk(self, ip_address: str) ->int:
"""Analyze IP address risk factors"""risk=0# Check against known threat IPs# In production, this would check against threat intelligence feeds# Check for unusual geographic locations# Implementation would use GeoIP servicesreturnriskdef_analyze_user_behavior(self, user_id: str, event_type: SecurityEventType) ->int:
"""Analyze user behavior patterns"""risk=0# Check deviation from normal behavior patterns# This would analyze historical user behaviorreturnriskdef_analyze_time_patterns(self) ->int:
"""Analyze time-based risk patterns"""risk=0# Check for unusual access timescurrent_hour=datetime.now().hour# Higher risk for access during unusual hours (e.g., 2-6 AM)if2<=current_hour<=6:
risk+=10returnriskdef_load_risk_patterns(self) ->Dict[str, Any]:
"""Load risk analysis patterns"""# In production, this would load from configuration or ML modelsreturn {}

fromenumimportEnumfromtypingimportList, Dict, Any, CallablefromdataclassesimportdataclassimportasyncioclassIncidentSeverity(Enum):
"""Incident severity levels"""LOW="low"MEDIUM="medium"HIGH="high"CRITICAL="critical"classIncidentStatus(Enum):
"""Incident status"""DETECTED="detected"INVESTIGATING="investigating"CONTAINING="containing"RESOLVED="resolved"CLOSED="closed"@dataclassclassSecurityIncident:
"""Security incident record"""incident_id: strtitle: strdescription: strseverity: IncidentSeveritystatus: IncidentStatusaffected_systems: List[str]
detection_time: floatassignee: strdetails: Dict[str, Any]
classSecurityIncidentManager:
""" Security incident response management Incident response procedures from chipa.tech security team """def__init__(self):
self.incidents: Dict[str, SecurityIncident] = {}
self.response_handlers: Dict[IncidentSeverity, List[Callable]] = {
severity: [] forseverityinIncidentSeverity
}
self.notification_channels= []
defregister_response_handler(self, severity: IncidentSeverity,
handler: Callable[[SecurityIncident], None]):
"""Register incident response handler"""self.response_handlers[severity].append(handler)
defcreate_incident(self, title: str, description: str, severity: IncidentSeverity,
affected_systems: List[str], details: Dict[str, Any] =None) ->str:
"""Create new security incident"""incident_id=self._generate_incident_id()
incident=SecurityIncident(
incident_id=incident_id,
title=title,
description=description,
severity=severity,
status=IncidentStatus.DETECTED,
affected_systems=affected_systems,
detection_time=time.time(),
assignee="",
details=detailsor {}
)
self.incidents[incident_id] =incident# Trigger incident responseasyncio.create_task(self._trigger_incident_response(incident))
print(f"🚨 Security incident created: {incident_id} - {title}")
returnincident_idasyncdef_trigger_incident_response(self, incident: SecurityIncident):
"""Trigger appropriate incident response procedures"""# Execute response handlershandlers=self.response_handlers.get(incident.severity, [])
forhandlerinhandlers:
try:
awaithandler(incident)
exceptExceptionase:
print(f"❌ Incident response handler failed: {e}")
# Send notificationsawaitself._send_incident_notifications(incident)
# Auto-assign based on severityifincident.severityin [IncidentSeverity.HIGH, IncidentSeverity.CRITICAL]:
incident.assignee="security-team-lead"else:
incident.assignee="security-analyst"asyncdef_send_incident_notifications(self, incident: SecurityIncident):
"""Send incident notifications"""notification_message= {
'incident_id': incident.incident_id,
'title': incident.title,
'severity': incident.severity.value,
'status': incident.status.value,
'affected_systems': incident.affected_systems,
'detection_time': incident.detection_time
}
# Send to configured notification channelsforchannelinself.notification_channels:
try:
awaitchannel.send_notification(notification_message)
exceptExceptionase:
print(f"❌ Failed to send notification: {e}")
defupdate_incident_status(self, incident_id: str, status: IncidentStatus,
notes: str=""):
"""Update incident status"""ifincident_idnotinself.incidents:
raiseValueError(f"Incident {incident_id} not found")
incident=self.incidents[incident_id]
old_status=incident.statusincident.status=status# Log status changeprint(f"📝 Incident {incident_id} status: {old_status.value} -> {status.value}")
ifnotes:
incident.details['status_notes'] =incident.details.get('status_notes', [])
incident.details['status_notes'].append({
'timestamp': time.time(),
'status': status.value,
'notes': notes
})
defget_incident_summary(self) ->Dict[str, Any]:
"""Get summary of all incidents"""summary= {
'total_incidents': len(self.incidents),
'by_severity': {},
'by_status': {},
'open_incidents': []
}
forincidentinself.incidents.values():
# Count by severityseverity=incident.severity.valuesummary['by_severity'][severity] =summary['by_severity'].get(severity, 0) +1# Count by statusstatus=incident.status.valuesummary['by_status'][status] =summary['by_status'].get(status, 0) +1# Add open incidentsifincident.statusnotin [IncidentStatus.RESOLVED, IncidentStatus.CLOSED]:
summary['open_incidents'].append({
'id': incident.incident_id,
'title': incident.title,
'severity': incident.severity.value,
'status': incident.status.value,
'age_hours': (time.time() -incident.detection_time) /3600
})
returnsummarydef_generate_incident_id(self) ->str:
"""Generate unique incident ID"""importuuidreturnf"INC-{str(uuid.uuid4())[:8].upper()}"# Pre-defined incident response proceduresclassIncidentResponseProcedures:
"""Pre-defined incident response procedures"""@staticmethodasyncdefcritical_incident_response(incident: SecurityIncident):
"""Response procedure for critical incidents"""print(f"🚨 CRITICAL INCIDENT RESPONSE: {incident.incident_id}")
# Immediate actions for critical incidentsactions= [
"Notify security team immediately",
"Escalate to management",
"Consider system isolation",
"Activate incident command center",
"Begin evidence collection"
]
foractioninactions:
print(f" ✓ {action}")
@staticmethodasyncdefhigh_incident_response(incident: SecurityIncident):
"""Response procedure for high severity incidents"""print(f"⚠️ HIGH SEVERITY INCIDENT RESPONSE: {incident.incident_id}")
actions= [
"Notify security team",
"Begin investigation",
"Document evidence",
"Assess impact scope"
]
foractioninactions:
print(f" ✓ {action}")
@staticmethodasyncdefautomated_containment(incident: SecurityIncident):
"""Automated containment actions"""print(f"🛡️ AUTOMATED CONTAINMENT: {incident.incident_id}")
# Example automated containment actionsif"authentication"inincident.details.get('indicators', []):
print(" ✓ Temporarily suspending affected user accounts")
if"network"inincident.affected_systems:
print(" ✓ Applying network access restrictions")
if"api"inincident.affected_systems:
print(" ✓ Enabling enhanced API monitoring")

classComplianceFramework:
""" Regulatory compliance framework for trading applications Compliance best practices from chipa.tech legal and compliance team """def__init__(self):
self.compliance_checks= {
'data_protection': self._check_data_protection_compliance,
'financial_regulations': self._check_financial_compliance,
'audit_requirements': self._check_audit_compliance,
'access_controls': self._check_access_control_compliance
}
defrun_compliance_assessment(self) ->Dict[str, Any]:
"""Run comprehensive compliance assessment"""results= {}
forcheck_name, check_functioninself.compliance_checks.items():
try:
results[check_name] =check_function()
exceptExceptionase:
results[check_name] = {
'status': 'ERROR',
'error': str(e)
}
# Calculate overall compliance scorepassed_checks=sum(1forresultinresults.values() ifresult.get('status') =='PASS')
total_checks=len(results)
compliance_score= (passed_checks/total_checks) *100return {
'compliance_score': compliance_score,
'detailed_results': results,
'recommendations': self._generate_compliance_recommendations(results)
}
def_check_data_protection_compliance(self) ->Dict[str, Any]:
"""Check data protection compliance (GDPR, CCPA, etc.)"""checks= {
'data_encryption': True, # Check if data is encrypted'access_logging': True, # Check if access is logged'data_retention': True, # Check retention policies'user_consent': True, # Check consent mechanisms'data_minimization': True# Check data minimization
}
passed=all(checks.values())
return {
'status': 'PASS'ifpassedelse'FAIL',
'checks': checks,
'requirements_met': sum(checks.values()),
'total_requirements': len(checks)
}
def_check_financial_compliance(self) ->Dict[str, Any]:
"""Check financial regulations compliance"""checks= {
'transaction_logging': True,
'audit_trail': True,
'user_verification': True,
'suspicious_activity_monitoring': True,
'regulatory_reporting': True
}
passed=all(checks.values())
return {
'status': 'PASS'ifpassedelse'FAIL',
'checks': checks,
'requirements_met': sum(checks.values()),
'total_requirements': len(checks)
}
def_check_audit_compliance(self) ->Dict[str, Any]:
"""Check audit requirements compliance"""checks= {
'comprehensive_logging': True,
'log_integrity': True,
'access_controls': True,
'change_management': True,
'incident_response': True
}
passed=all(checks.values())
return {
'status': 'PASS'ifpassedelse'FAIL',
'checks': checks,
'requirements_met': sum(checks.values()),
'total_requirements': len(checks)
}
def_check_access_control_compliance(self) ->Dict[str, Any]:
"""Check access control compliance"""checks= {
'role_based_access': True,
'principle_of_least_privilege': True,
'regular_access_reviews': True,
'privileged_access_monitoring': True,
'session_management': True
}
passed=all(checks.values())
return {
'status': 'PASS'ifpassedelse'FAIL',
'checks': checks,
'requirements_met': sum(checks.values()),
'total_requirements': len(checks)
}
def_generate_compliance_recommendations(self, results: Dict[str, Any]) ->List[str]:
"""Generate compliance improvement recommendations"""recommendations= []
forarea, resultinresults.items():
ifresult.get('status') =='FAIL':
ifarea=='data_protection':
recommendations.append("Implement comprehensive data protection measures")
elifarea=='financial_regulations':
recommendations.append("Enhance financial compliance monitoring")
elifarea=='audit_requirements':
recommendations.append("Improve audit trail capabilities")
elifarea=='access_controls':
recommendations.append("Strengthen access control mechanisms")
returnrecommendations