implement Edge-Hub integration with user_id validation (SCRUM-93, SCRUM-94)

- Agent: Updated config and main
- Edge: Implemented adapter factory in main.py to switch between MQTT and HTTP.
- Edge: Updated AgentData entity and processing logic to support user_id.
- Infrastructure: Configured docker-compose for dynamic protocol switching and environment management.
This commit is contained in:
esk4nz
2026-03-23 21:31:31 +02:00
parent 30f81ec1ae
commit c085a49c8c
8 changed files with 59 additions and 23 deletions

View File

@@ -8,7 +8,7 @@ def try_parse(type, value: str):
return None
USER_ID = 1
USER_ID = try_parse(int, os.environ.get("USER_ID")) or 1
# MQTT config
MQTT_BROKER_HOST = os.environ.get("MQTT_BROKER_HOST") or "mqtt"
MQTT_BROKER_PORT = try_parse(int, os.environ.get("MQTT_BROKER_PORT")) or 1883

View File

@@ -28,6 +28,7 @@ def publish(client, topic, datasource):
data = datasource.read()
msg = AggregatedDataSchema().dumps(data)
result = client.publish(topic, msg)
print(f"Published to {topic}: {msg[:50]}...")
status = result[0]
if status != 0:
print(f"Failed to send message to topic {topic}")

View File

@@ -22,6 +22,7 @@ services:
depends_on:
- mqtt
environment:
PYTHONUNBUFFERED: 1
MQTT_BROKER_HOST: "mqtt"
MQTT_BROKER_PORT: 1883
MQTT_TOPIC: "agent_data_topic"
@@ -37,11 +38,13 @@ services:
depends_on:
- mqtt
environment:
PYTHONUNBUFFERED: 1
MQTT_BROKER_HOST: "mqtt"
MQTT_BROKER_PORT: 1883
MQTT_TOPIC: " "
HUB_HOST: "store"
MQTT_TOPIC: "agent_data_topic"
HUB_HOST: "hub"
HUB_PORT: 8000
HUB_CONNECTION_TYPE: "http"
HUB_MQTT_BROKER_HOST: "mqtt"
HUB_MQTT_BROKER_PORT: 1883
HUB_MQTT_TOPIC: "processed_data_topic"
@@ -54,6 +57,7 @@ services:
container_name: postgres_db
restart: always
environment:
PYTHONUNBUFFERED: 1
POSTGRES_USER: user
POSTGRES_PASSWORD: pass
POSTGRES_DB: test_db
@@ -70,6 +74,7 @@ services:
image: dpage/pgadmin4
restart: always
environment:
PYTHONUNBUFFERED: 1
PGADMIN_DEFAULT_EMAIL: admin@admin.com
PGADMIN_DEFAULT_PASSWORD: root
volumes:
@@ -89,6 +94,7 @@ services:
- postgres_db
restart: always
environment:
PYTHONUNBUFFERED: 1
POSTGRES_USER: user
POSTGRES_PASSWORD: pass
POSTGRES_DB: test_db
@@ -120,6 +126,7 @@ services:
- redis
- store
environment:
PYTHONUNBUFFERED: 1
STORE_API_HOST: "store"
STORE_API_PORT: 8000
REDIS_HOST: "redis"

View File

@@ -40,8 +40,11 @@ class AgentMQTTAdapter(AgentGateway):
# Process the received data (you can call a use case here if needed)
processed_data = process_agent_data(agent_data)
# Store the agent_data in the database (you can send it to the data processing module)
if processed_data is not None:
if not self.hub_gateway.save_data(processed_data):
logging.error("Hub is not available")
else:
logging.info("Road is fine, no data sent to hub.")
except Exception as e:
logging.info(f"Error processing MQTT message: {e}")

View File

@@ -14,6 +14,7 @@ class GpsData(BaseModel):
class AgentData(BaseModel):
user_id: int
accelerometer: AccelerometerData
gps: GpsData
timestamp: datetime

View File

@@ -13,3 +13,11 @@ def process_agent_data(
processed_data_batch (ProcessedAgentData): Processed data containing the classified state of the road surface and agent data.
"""
# Implement it
if not hasattr(agent_data, 'user_id') or agent_data.user_id is None:
agent_data.user_id = 1
return ProcessedAgentData(
road_state="normal",
agent_data=agent_data
)

View File

@@ -16,9 +16,12 @@ MQTT_TOPIC = os.environ.get("MQTT_TOPIC") or "agent_data_topic"
# Configuration for hub MQTT
HUB_MQTT_BROKER_HOST = os.environ.get("HUB_MQTT_BROKER_HOST") or "localhost"
HUB_MQTT_BROKER_PORT = try_parse_int(os.environ.get("HUB_MQTT_BROKER_PORT")) or 1883
HUB_MQTT_TOPIC = os.environ.get("HUB_MQTT_TOPIC") or "processed_agent_data_topic"
HUB_MQTT_TOPIC = os.environ.get("HUB_MQTT_TOPIC") or "processed_data_topic"
# Configuration for the Hub
HUB_HOST = os.environ.get("HUB_HOST") or "localhost"
HUB_PORT = try_parse_int(os.environ.get("HUB_PORT")) or 12000
HUB_PORT = try_parse_int(os.environ.get("HUB_PORT")) or 8000
HUB_URL = f"http://{HUB_HOST}:{HUB_PORT}"
# For choosing type of connection
HUB_CONNECTION_TYPE = os.environ.get("HUB_CONNECTION_TYPE") or "mqtt"

View File

@@ -1,4 +1,5 @@
import logging
import os
from app.adapters.agent_mqtt_adapter import AgentMQTTAdapter
from app.adapters.hub_http_adapter import HubHttpAdapter
from app.adapters.hub_mqtt_adapter import HubMqttAdapter
@@ -10,39 +11,51 @@ from config import (
HUB_MQTT_BROKER_HOST,
HUB_MQTT_BROKER_PORT,
HUB_MQTT_TOPIC,
HUB_CONNECTION_TYPE,
)
if __name__ == "__main__":
# Configure logging settings
logging.basicConfig(
level=logging.INFO, # Set the log level to INFO (you can use logging.DEBUG for more detailed logs)
level=logging.INFO,
format="[%(asctime)s] [%(levelname)s] [%(module)s] %(message)s",
handlers=[
logging.StreamHandler(), # Output log messages to the console
logging.FileHandler("app.log"), # Save log messages to a file
logging.StreamHandler(),
logging.FileHandler("app.log"),
],
)
# Create an instance of the StoreApiAdapter using the configuration
# hub_adapter = HubHttpAdapter(
# api_base_url=HUB_URL,
# )
# Logic to select the adapter based on configuration (SCRUM-93 & SCRUM-94)
# This allows easy switching between HTTP and MQTT protocols
if HUB_CONNECTION_TYPE.lower() == "http":
logging.info("Initializing HubHttpAdapter (SCRUM-93 integration)")
hub_adapter = HubHttpAdapter(
api_base_url=HUB_URL,
)
else:
logging.info("Initializing HubMqttAdapter (SCRUM-94 integration)")
hub_adapter = HubMqttAdapter(
broker=HUB_MQTT_BROKER_HOST,
port=HUB_MQTT_BROKER_PORT,
topic=HUB_MQTT_TOPIC,
)
# Create an instance of the AgentMQTTAdapter using the configuration
# Create an instance of the AgentMQTTAdapter using the selected hub adapter
# This adapter acts as a bridge between the Agent and the Hub
agent_adapter = AgentMQTTAdapter(
broker_host=MQTT_BROKER_HOST,
broker_port=MQTT_BROKER_PORT,
topic=MQTT_TOPIC,
hub_gateway=hub_adapter,
)
try:
# Connect to the MQTT broker and start listening for messages
logging.info(f"Starting Edge module. Connecting to Agent Broker at {MQTT_BROKER_HOST}:{MQTT_BROKER_PORT}")
# Connect to the MQTT broker and start listening for messages from Agent
agent_adapter.connect()
agent_adapter.start()
# Keep the system running indefinitely (you can add other logic as needed)
# Keep the system running indefinitely to process incoming data streams
while True:
pass
except KeyboardInterrupt: