demo / aws_qldb.py
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"""
M贸dulo de integraci贸n con AWS QLDB para registro regulatorio (AI Act y GDPR)
NOTA: Esta implementaci贸n est谩 comentada provisionalmente para despliegue futuro.
Cuando se active, requerir谩:
- AWS Credentials configuradas
- Acceso a QLDB Ledger
- Permisos adecuados
"""
import os
import json
import hashlib
import time
from datetime import datetime, timezone
from typing import Dict, Any, Optional
from dataclasses import dataclass, asdict
# Imports para integraci贸n (comentados hasta activaci贸n)
# from aws_qldb import qldb_manager
# from polygon_digest import digest_publisher
# Imports comentados hasta activaci贸n
# import boto3
# from botocore.exceptions import ClientError
@dataclass
class ComplianceRecord:
"""Registro de cumplimiento para AWS QLDB"""
user_email: str
user_name: str
video_title: str
video_hash: str
video_size: int
timestamp: str
consent_accepted: bool
consent_version: str
ip_address: str
user_agent: str
# Validaci贸n interna
validators_notified: bool = False
validation_status: str = "pending" # pending, approved, rejected
validator_emails: list = None
validation_timestamp: str = None
# Metadatos adicionales
session_id: str = None
space_id: str = None
class QLDBManager:
"""Gestor de registros en AWS QLDB (comentado hasta activaci贸n)"""
def __init__(self, ledger_name: str = "veureu-compliance"):
self.ledger_name = ledger_name
# self.client = boto3.client('qldb')
# self.session = boto3.session.Session()
def _compute_video_hash(self, video_bytes: bytes) -> str:
"""Calcula hash SHA-256 del v铆deo para integridad"""
return hashlib.sha256(video_bytes).hexdigest()
def _create_compliance_record(self, user_info: Dict[str, Any],
video_info: Dict[str, Any],
consent_data: Dict[str, Any]) -> ComplianceRecord:
"""Crea registro de cumplimiento"""
# Extraer informaci贸n del usuario
user_email = user_info.get('email', '[email protected]')
user_name = user_info.get('name', 'Unknown User')
# Calcular hash del v铆deo
video_bytes = video_info.get('bytes', b'')
video_hash = self._compute_video_hash(video_bytes)
# Timestamp en formato ISO 8601 UTC
timestamp = datetime.now(timezone.utc).isoformat()
# Informaci贸n de sesi贸n
session_id = os.urandom(16).hex()
space_id = os.getenv('SPACE_ID', 'local-dev')
return ComplianceRecord(
user_email=user_email,
user_name=user_name,
video_title=video_info.get('name', 'unknown_video.mp4'),
video_hash=video_hash,
video_size=len(video_bytes),
timestamp=timestamp,
consent_accepted=consent_data.get('all_accepted', False),
consent_version="1.0",
ip_address=self._get_client_ip(),
user_agent=self._get_user_agent(),
session_id=session_id,
space_id=space_id,
validators_notified=False,
validation_status="pending",
validator_emails=[]
)
def _get_client_ip(self) -> str:
"""Obtiene IP del cliente (simulado)"""
# En producci贸n, esto vendr铆a de request headers
return "127.0.0.1" # Placeholder
def _get_user_agent(self) -> str:
"""Obtiene User-Agent del cliente"""
return "Streamlit/1.0" # Placeholder
def record_user_consent(self, user_info: Dict[str, Any],
video_info: Dict[str, Any],
consent_data: Dict[str, Any]) -> Optional[str]:
"""
Registra consentimiento del usuario en QLDB
Returns:
Document ID del registro creado o None si hay error
"""
try:
record = self._create_compliance_record(user_info, video_info, consent_data)
# C贸digo comentado hasta activaci贸n de QLDB
"""
# Insertar en QLDB
result = self.client.execute_statement(
LedgerName=self.ledger_name,
Statement='INSERT INTO compliance_records ?',
Parameters=[asdict(record)]
)
document_id = result.get('Documents', [{}])[0].get('Id')
return document_id
"""
# Temporal: retornar ID simulado
simulated_id = f"qldb_doc_{int(time.time())}_{hash(record.user_email) % 10000}"
print(f"[QLDB - SIMULATED] Registrado consentimiento: {simulated_id}")
print(f"[QLDB - SIMULATED] Usuario: {record.user_email}")
print(f"[QLDB - SIMULATED] V铆deo: {record.video_title} ({record.video_hash[:16]}...)")
return simulated_id
except Exception as e:
print(f"[QLDB ERROR] Error registrando consentimiento: {e}")
return None
def record_validator_decision(self, document_id: str,
validator_email: str,
decision: str,
comments: str = "") -> bool:
"""
Registra decisi贸n del validador en QLDB
Args:
document_id: ID del documento original
validator_email: Email del validador
decision: "approved" o "rejected"
comments: Comentarios opcionales
Returns:
True si 茅xito, False si error
"""
try:
timestamp = datetime.now(timezone.utc).isoformat()
# C贸digo comentado hasta activaci贸n de QLDB
"""
# Actualizar documento en QLDB
statement = f'''
UPDATE compliance_records AS r
SET r.validation_status = ?,
r.validation_timestamp = ?,
r.validator_emails = LIST_APPEND(r.validator_emails, ?)
WHERE r.id = ?
'''
self.client.execute_statement(
LedgerName=self.ledger_name,
Statement=statement,
Parameters=[decision, timestamp, validator_email, document_id]
)
"""
# Temporal: logging simulado
print(f"[QLDB - SIMULATED] Registrada validaci贸n: {decision}")
print(f"[QLDB - SIMULATED] Documento: {document_id}")
print(f"[QLDB - SIMULATED] Validador: {validator_email}")
print(f"[QLDB - SIMULATED] Timestamp: {timestamp}")
return True
except Exception as e:
print(f"[QLDB ERROR] Error registrando validaci贸n: {e}")
return False
def get_compliance_record(self, document_id: str) -> Optional[Dict[str, Any]]:
"""
Obtiene registro de cumplimiento desde QLDB
Returns:
Diccionario con el registro o None si no existe
"""
try:
# C贸digo comentado hasta activaci贸n de QLDB
"""
result = self.client.execute_statement(
LedgerName=self.ledger_name,
Statement='SELECT * FROM compliance_records WHERE id = ?',
Parameters=[document_id]
)
documents = result.get('Documents', [])
return documents[0] if documents else None
"""
# Temporal: retorno simulado
return {
"id": document_id,
"status": "simulated",
"message": "QLDB integration pending activation"
}
except Exception as e:
print(f"[QLDB ERROR] Error obteniendo registro: {e}")
return None
def publish_monthly_digest_to_polygon(self, period: str) -> Optional[str]:
"""
Publica digest mensual de autorizaciones en Polygon blockchain
Args:
period: Per铆odo en formato YYYY-MM (ej: "2025-11")
Returns:
Hash de transacci贸n o None si error
"""
try:
# Obtener autorizaciones del per铆odo (comentado hasta activaci贸n QLDB)
"""
statement = '''
SELECT user_email, video_hash, timestamp, consent_accepted,
validation_status, document_id
FROM compliance_records
WHERE SUBSTRING(timestamp, 1, 7) = ?
ORDER BY timestamp
'''
result = self.client.execute_statement(
LedgerName=self.ledger_name,
Statement=statement,
Parameters=[period]
)
authorizations = result.get('Documents', [])
"""
# Temporal: datos simulados
authorizations = [
{
"user_email": "[email protected]",
"video_hash": "abc123...",
"timestamp": f"{period}-15T10:00:00Z",
"consent_accepted": True,
"validation_status": "approved",
"document_id": f"doc_{period}_001"
},
{
"user_email": "[email protected]",
"video_hash": "def456...",
"timestamp": f"{period}-20T14:30:00Z",
"consent_accepted": True,
"validation_status": "approved",
"document_id": f"doc_{period}_002"
}
]
if not authorizations:
print(f"[QLDB] No hay autorizaciones para el per铆odo {period}")
return None
# Publicar en Polygon (comentado hasta activaci贸n)
"""
from polygon_digest import digest_publisher
digest_record = digest_publisher.publish_monthly_digest(authorizations)
if digest_record:
return digest_record.transaction_hash
"""
# Temporal: simulaci贸n de publicaci贸n
print(f"[QLDB - SIMULATED] Publicando digest de {len(authorizations)} autorizaciones")
simulated_tx_hash = f"0x{'0123456789abcdef' * 4}"
print(f"[QLDB - SIMULATED] Digest publicado en Polygon: {simulated_tx_hash}")
return simulated_tx_hash
except Exception as e:
print(f"[QLDB ERROR] Error publicando digest mensual: {e}")
return None
# Instancia global (comentada hasta activaci贸n)
# qldb_manager = QLDBManager()
# Temporal: instancia simulada para desarrollo
qldb_manager = QLDBManager()