Added two new apis

Co-authored-by: Copilot <copilot@github.com>
This commit is contained in:
2026-05-04 17:37:08 -06:00
parent 2be72ae7be
commit b3788beedd
30 changed files with 2736 additions and 2 deletions

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"""Metrics RabbitMQ Consumer - Processes system events and saves metrics"""
import sys
import os
import logging
from datetime import datetime
# Add src to path to import modules
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
from infrastructure.adapters.rabbitmq.consumer import RabbitMQConsumer
from infrastructure.adapters.rabbitmq.messages import (
UserMessage, ReportMessage, NotificationMessage, ModerationMessage
)
from application.services.metrics_services import MetricsService
from infrastructure.adapters.persistence.metrics_repository_postgres import MetricsRepositoryPostgres
# Set up logging
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler('logs/metrics_consumer.log'),
logging.StreamHandler()
]
)
logger = logging.getLogger(__name__)
class MetricsConsumer:
"""Consumer for all system events from RabbitMQ"""
def __init__(self):
self.metrics_service = MetricsService(MetricsRepositoryPostgres())
# Create separate consumers for each event type
self.user_consumer = RabbitMQConsumer(queue_name='users_queue')
self.report_consumer = RabbitMQConsumer(queue_name='reports_queue')
self.notification_consumer = RabbitMQConsumer(queue_name='notifications_queue')
self.moderation_consumer = RabbitMQConsumer(queue_name='moderations_queue')
# Set callbacks
self.user_consumer.set_callback(self.process_user_event)
self.report_consumer.set_callback(self.process_report_event)
self.notification_consumer.set_callback(self.process_notification_event)
self.moderation_consumer.set_callback(self.process_moderation_event)
def process_user_event(self, message_dict: dict):
"""Procesa eventos de usuario"""
try:
message = UserMessage.from_dict(message_dict)
self.metrics_service.record_event(
event_type=f"user_{message.event_type.value}",
entity_id=str(message.user_id),
entity_type="user",
user_id=message.user_id,
metadata={"email": message.email}
)
logger.info(f"Métrica registrada: user_{message.event_type.value}")
except Exception as e:
logger.error(f"Error procesando evento de usuario: {e}")
def process_report_event(self, message_dict: dict):
"""Procesa eventos de reportes"""
try:
message = ReportMessage.from_dict(message_dict)
self.metrics_service.record_event(
event_type=f"report_{message.event_type.value}",
entity_id=str(message.report_id),
entity_type="report",
user_id=message.user_id,
metadata={"status": message.status}
)
logger.info(f"Métrica registrada: report_{message.event_type.value}")
except Exception as e:
logger.error(f"Error procesando evento de reporte: {e}")
def process_notification_event(self, message_dict: dict):
"""Procesa eventos de notificaciones"""
try:
message = NotificationMessage.from_dict(message_dict)
self.metrics_service.record_event(
event_type=f"notification_{message.event_type.value}",
entity_id=str(message.notification_id),
entity_type="notification",
user_id=message.user_id,
metadata={"type": message.notification_type}
)
logger.info(f"Métrica registrada: notification_{message.event_type.value}")
except Exception as e:
logger.error(f"Error procesando evento de notificación: {e}")
def process_moderation_event(self, message_dict: dict):
"""Procesa eventos de moderación"""
try:
message = ModerationMessage.from_dict(message_dict)
self.metrics_service.record_event(
event_type=f"moderation_{message.event_type.value}",
entity_id=str(message.moderation_id),
entity_type="moderation",
user_id=message.moderator_id,
metadata={"action": message.action}
)
logger.info(f"Métrica registrada: moderation_{message.event_type.value}")
except Exception as e:
logger.error(f"Error procesando evento de moderación: {e}")
def start(self):
"""Inicia todos los consumers"""
logger.info("Iniciando Metrics Consumer...")
try:
# Start consumers in separate threads
import threading
threads = [
threading.Thread(target=self.user_consumer.start, daemon=True),
threading.Thread(target=self.report_consumer.start, daemon=True),
threading.Thread(target=self.notification_consumer.start, daemon=True),
threading.Thread(target=self.moderation_consumer.start, daemon=True),
]
for t in threads:
t.start()
# Keep main thread alive
for t in threads:
t.join()
except KeyboardInterrupt:
logger.info("Metrics Consumer detenido")
self.stop()
def stop(self):
"""Detiene los consumers"""
self.user_consumer.stop()
self.report_consumer.stop()
self.notification_consumer.stop()
self.moderation_consumer.stop()
if __name__ == "__main__":
consumer = MetricsConsumer()
consumer.start()

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"""Consumidor de eventos de Moderación desde RabbitMQ"""
import pika
import json
import logging
from datetime import datetime
from threading import Thread
from typing import Dict, Any
logger = logging.getLogger(__name__)
class ModerationConsumer:
"""Consumidor de eventos de moderación desde RabbitMQ"""
def __init__(self, host: str = 'localhost', port: int = 5672):
self.host = host
self.port = port
self.queue_name = 'moderation_queue'
self.running = False
def start(self):
"""Inicia el consumidor en un thread separado"""
thread = Thread(target=self._consume, daemon=True)
thread.start()
logger.info("Moderation Consumer started")
def _consume(self):
"""Consume mensajes de RabbitMQ"""
try:
connection = pika.BlockingConnection(
pika.ConnectionParameters(host=self.host, port=self.port)
)
channel = connection.channel()
# Declarar cola
channel.queue_declare(queue=self.queue_name, durable=True)
# Configurar QoS
channel.basic_qos(prefetch_count=1)
# Configurar callback
channel.basic_consume(
queue=self.queue_name,
on_message_callback=self._process_message
)
logger.info(f"Moderation Consumer listening on {self.queue_name}")
self.running = True
channel.start_consuming()
except Exception as e:
logger.error(f"Error in moderation consumer: {e}")
self.running = False
def _process_message(self, ch, method, properties, body):
"""Procesa un mensaje de moderación"""
try:
message = json.loads(body)
logger.info(f"Processing moderation event: {message.get('event_type')}")
event_type = message.get('event_type')
if event_type == 'moderation.delete_report':
self._handle_delete_report(message)
elif event_type == 'moderation.close_account':
self._handle_close_account(message)
elif event_type == 'moderation.ban_user':
self._handle_ban_user(message)
elif event_type == 'moderation.warn_user':
self._handle_warn_user(message)
elif event_type == 'moderation.review_content':
self._handle_review_content(message)
else:
logger.warning(f"Unknown moderation event type: {event_type}")
# Confirmar mensaje
ch.basic_ack(delivery_tag=method.delivery_tag)
except json.JSONDecodeError:
logger.error("Error decoding JSON message")
ch.basic_nack(delivery_tag=method.delivery_tag, requeue=False)
except Exception as e:
logger.error(f"Error processing moderation message: {e}")
ch.basic_nack(delivery_tag=method.delivery_tag, requeue=True)
def _handle_delete_report(self, message: Dict[str, Any]):
"""Maneja evento de eliminación de reporte"""
try:
action_id = message.get('action_id')
report_id = message.get('report_id')
reason = message.get('reason')
logger.info(f"Deleting report {report_id} (Action: {action_id})")
# Aquí implementarías la lógica para eliminar el reporte en la BD
# Por ahora solo registramos el evento
logger.info(f"Report {report_id} marked as deleted by moderator {message.get('moderator_id')}")
except Exception as e:
logger.error(f"Error handling delete report: {e}")
raise
def _handle_close_account(self, message: Dict[str, Any]):
"""Maneja evento de cierre de cuenta"""
try:
action_id = message.get('action_id')
user_id = message.get('user_id')
is_permanent = message.get('is_permanent', True)
logger.info(f"Closing account for user {user_id} (Action: {action_id}, Permanent: {is_permanent})")
# Aquí implementarías la lógica para cerrar la cuenta en la BD
logger.info(f"Account for user {user_id} marked as closed")
except Exception as e:
logger.error(f"Error handling close account: {e}")
raise
def _handle_ban_user(self, message: Dict[str, Any]):
"""Maneja evento de ban de usuario"""
try:
action_id = message.get('action_id')
user_id = message.get('user_id')
duration_days = message.get('duration_days')
is_permanent = message.get('is_permanent', False)
reason = message.get('reason')
logger.info(f"Banning user {user_id} (Action: {action_id}, Duration: {duration_days} days, Permanent: {is_permanent})")
# Aquí implementarías la lógica para banear al usuario
if is_permanent:
logger.info(f"User {user_id} permanently banned")
else:
logger.info(f"User {user_id} banned for {duration_days} days")
except Exception as e:
logger.error(f"Error handling ban user: {e}")
raise
def _handle_warn_user(self, message: Dict[str, Any]):
"""Maneja evento de advertencia a usuario"""
try:
action_id = message.get('action_id')
user_id = message.get('user_id')
reason = message.get('reason')
logger.info(f"Warning user {user_id} (Action: {action_id}, Reason: {reason})")
# Aquí implementarías la lógica para registrar la advertencia
logger.info(f"Warning recorded for user {user_id}")
except Exception as e:
logger.error(f"Error handling warn user: {e}")
raise
def _handle_review_content(self, message: Dict[str, Any]):
"""Maneja evento de revisión de contenido"""
try:
action_id = message.get('action_id')
report_id = message.get('report_id')
review_action = message.get('review_action') # approve, reject, needs_more_info
logger.info(f"Reviewing report {report_id} (Action: {action_id}, Decision: {review_action})")
# Aquí implementarías la lógica para procesar la revisión
logger.info(f"Report {report_id} review: {review_action}")
except Exception as e:
logger.error(f"Error handling review content: {e}")
raise
# Crear instancia global
moderation_consumer = ModerationConsumer()