[P] Fix map lat, lon confusion

[L4] SCRUM-81: implementation data processing function

.dockerignore

@@ -0,0 +1,23 @@
+# IDEs
+.idea/
+.vscode/
+.git/
+.gitignore
+.dockerignore
+.DS_Store
+Thumbs.db
+
+# Python
+**/__pycache__/
+**/*.py[cod]
+**/*.pyo
+**/*.pyd
+venv/
+.env
+
+# Logs & Database & Broker data
+*.log
+**/mosquitto/data/
+**/mosquitto/log/
+**/postgres_data/
+**/pgadmin-data/

.gitea/workflows/reset-docker.yaml

@@ -0,0 +1,16 @@
+name: Reset docker state
+on: workflow_dispatch
+
+jobs:
+  reset:
+    runs-on: host-arch-x86_64
+    name: Reset docker state
+    steps:
+      - name: Stop all containers
+        run: docker stop $(docker ps -a | cut -d " " -f 1 | tail -n +2)
+      
+      - name: Remove all containers
+        run: docker rm $(docker ps -a | cut -d " " -f 1 | tail -n +2)
+
+      - name: Remove extra volumes
+        run: docker volume rm road_vision_postgres_data road_vision_pgadmin-data

.gitea/workflows/tests.yaml

@@ -0,0 +1,71 @@
+name: Component testing
+on: [push, workflow_dispatch]
+
+jobs:
+  hub-test:
+    name: Hub testing
+    runs-on: host-arch-x86_64
+    steps:
+      - name: Clone repository
+        run: git clone --revision ${{ gitea.sha }} --depth 1 ${{ gitea.server_url }}/${{ gitea.repository }}
+
+      - name: Build Hub testing container
+        working-directory: IoT-Systems
+        run: docker build -t local/hub/${{gitea.sha}} -f hub/Dockerfile-test .
+
+      - name: Run Hub tests
+        working-directory: IoT-Systems
+        run: docker run --rm -it local/hub/${{gitea.sha}}
+
+      - name: Clean up containers
+        if: ${{always()}}
+        run: docker image rm local/hub/${{gitea.sha}}
+
+  store-test:
+    name: Store testing
+    runs-on: host-arch-x86_64
+    steps:
+      - name: Clone repository
+        run: git clone --revision ${{ gitea.sha }} --depth 1 ${{ gitea.server_url }}/${{ gitea.repository }}
+
+      - name: Build Store testing container
+        working-directory: IoT-Systems
+        run: docker build -t local/store/${{gitea.sha}} -f store/Dockerfile-test .
+
+      - name: Run Store tests
+        working-directory: IoT-Systems
+        run: docker run --rm -it local/store/${{gitea.sha}}
+
+      - name: Clean up containers
+        if: ${{always()}}
+        run: docker image rm local/store/${{gitea.sha}}
+
+  integration-smoke-test:
+    name: Integration smoke testing
+    runs-on: host-arch-x86_64
+    needs:
+      - hub-test
+      - store-test
+    steps:
+      - name: Clone repository
+        run: git clone --revision ${{ gitea.sha }} --depth 1 ${{ gitea.server_url }}/${{ gitea.repository }}
+
+      - name: Build all production containers
+        working-directory: IoT-Systems
+        run: docker-compose build
+
+      - name: Start all production containers
+        working-directory: IoT-Systems
+        run: docker-compose up -d
+
+      - name: Wait for crashes to happen
+        run: sleep 30
+
+      - name: Check for dead containers
+        working-directory: IoT-Systems
+        run: docker ps -a | python3 utils/check-up.py
+
+      - name: Clean up
+        if: ${{always()}}
+        working-directory: IoT-Systems
+        run: docker-compose down -v

.gitignore

@@ -1,4 +1,25 @@
-agent/docker/mosquitto/data/
+# IDEs
-agent/docker/mosquitto/log/
+.idea/
+.vscode/
+*.swp
+*.swo
 
-.idea/
+# Python
+venv/
+__pycache__/
+*.py[cod]
+*$py.class
+.env
+
+# Logs
+*.log
+app.log
+
+# Database & Broker data
+**/mosquitto/data/
+**/mosquitto/log/
+**/postgres_data/
+**/pgadmin-data/
+
+# OS specific
+.DS_Store

MapView/.gitignore

@@ -1,3 +0,0 @@
-.idea
-venv
-__pycache__

MapView/datasource.py

@@ -72,9 +72,10 @@ class Datasource:
         )
         new_points = [
             (
-                processed_agent_data.latitude,
                 processed_agent_data.longitude,
+                processed_agent_data.latitude,
                 processed_agent_data.road_state,
+                processed_agent_data.user_id
             )
             for processed_agent_data in processed_agent_data_list
         ]

MapView/domain/accelerometer.py

@@ -0,0 +1,7 @@
+from dataclasses import dataclass
+
+@dataclass
+class Accelerometer:
+  x: float
+  y: float
+  z: float

MapView/fileReader.py

@@ -0,0 +1,50 @@
+from csv import reader
+import config
+from domain.accelerometer import Accelerometer
+
+
+
+class FileReader:
+    def __init__(
+        self, data_filename: str,
+    ) -> None:
+        self.file_path = data_filename
+        pass
+
+    def read(self):
+        return self.getNextValue()
+
+    def startReading(self, *args, **kwargs):
+        self.file = open(self.file_path, newline='')
+        self.file_reader = reader(self.file, skipinitialspace=True)
+        file_header = next(self.file_reader)
+        
+        self.x_idx = file_header.index('X')
+        self.y_idx = file_header.index('Y')
+        self.z_idx = file_header.index('Z')
+
+    def getNextValue(self):
+        while True:
+            row = next(self.file_reader, None)
+            if row is None:
+                self._rewind_file()
+                continue
+            try:
+                x = int(row[self.x_idx])
+                y = int(row[self.y_idx])
+                z = int(row[self.z_idx])
+                return Accelerometer(x=x, y=y, z=z)
+            except Exception as e:
+                continue
+        
+    def _rewind_file(self):
+        self.file.seek(0)
+        self.file_reader = reader(self.file)
+        next(self.file_reader)
+        
+    def stopReading(self, *args, **kwargs):
+        if self.file:
+            self.file.close()
+        self.file_reader = None
+        
+

MapView/main.py

@@ -5,47 +5,141 @@ from kivy.clock import Clock
 from lineMapLayer import LineMapLayer
 from datasource import Datasource
 
+line_layer_colors = [
+    [1, 0, 0, 1],
+    [1, 0.5, 0, 1],
+    [0, 1, 0, 1],
+    [0, 1, 1, 1],
+    [0, 0, 1, 1],
+    [1, 0, 1, 1],
+]
 
 class MapViewApp(App):
     def __init__(self, **kwargs):
-        super().__init__()
+        super().__init__(**kwargs)
+
+        self.mapview = None
+        self.datasource = Datasource(user_id=1)
+        self.line_layers = dict()
+        self.car_markers = dict()
+
         # додати необхідні змінні
+        self.bump_markers = []
+        self.pothole_markers = []
 
     def on_start(self):
         """
         Встановлює необхідні маркери, викликає функцію для оновлення мапи
         """
+        self.update()
+        Clock.schedule_interval(self.update, 0.1)
 
     def update(self, *args):
         """
         Викликається регулярно для оновлення мапи
         """
+        new_points = self.datasource.get_new_points()
 
+        if not new_points:
+            return
 
-    def update_car_marker(self, point):
+        for point in new_points:
+
+            lat, lon, road_state, user_id = point
+
+            # Оновлює лінію маршрута
+            if user_id not in self.line_layers:
+                self.line_layers[user_id] = LineMapLayer(color = line_layer_colors[user_id % len(line_layer_colors)])
+                self.mapview.add_layer(self.line_layers[user_id])
+
+            self.line_layers[user_id].add_point((lat, lon))
+
+            # Оновлює маркер маниши
+            self.update_car_marker(lat, lon, user_id)
+
+            # Перевіряємо стан дороги
+            self.check_road_quality(point)
+
+    def check_road_quality(self, point):
+        """
+        Аналізує дані акселерометра для подальшого визначення
+        та відображення ям та лежачих поліцейських
+        """
+        if len(point) < 3:
+            return
+
+        lat, lon, road_state, user_id = point
+
+        if road_state == "pothole":
+            self.set_pothole_marker((lat, lon))
+        elif road_state == "bump":
+            self.set_bump_marker((lat, lon))
+
+    def update_car_marker(self, lat, lon, user_id):
         """
         Оновлює відображення маркера машини на мапі
         :param point: GPS координати
         """
+        if user_id not in self.car_markers:
+            self.car_markers[user_id] = MapMarker(lat=lat, lon=lon, source='./images/car.png')
+            self.mapview.add_marker(self.car_markers[user_id])
+        else:
+            self.car_markers[user_id].lat = lat
+            self.car_markers[user_id].lon = lon
+
+        if user_id == 1:
+            self.mapview.center_on(lat, lon)
 
     def set_pothole_marker(self, point):
-        """
+        if isinstance(point, dict):
-        Встановлює маркер для ями
+            lat = point.get("lat")
-        :param point: GPS координати
+            lon = point.get("lon")
-        """
+        else:
+            lat, lon = point
+
+        if lat is None or lon is None:
+            return
+
+        marker = MapMarker(
+            lat=lat,
+            lon=lon,
+            source="images/pothole.png"
+        )
+
+        self.mapview.add_marker(marker)
+        self.pothole_markers.append(marker)
 
     def set_bump_marker(self, point):
-        """
+        if isinstance(point, dict):
-        Встановлює маркер для лежачого поліцейського
+            lat = point.get("lat")
-        :param point: GPS координати
+            lon = point.get("lon")
-        """
+        else:
+            lat, lon = point
+
+        if lat is None or lon is None:
+            return
+        
+        marker = MapMarker(
+            lat=lat,
+            lon=lon,
+            source="images/bump.png"  
+        )
+
+        self.mapview.add_marker(marker)
+        self.bump_markers.append(marker)
+
 
     def build(self):
         """
         Ініціалізує мапу MapView(zoom, lat, lon)
         :return: мапу
         """
-        self.mapview = MapView()
+        self.mapview = MapView(
+            zoom=15,
+            lat=50.4501,
+            lon=30.5234
+        )
+
         return self.mapview
 
 

agent/.gitignore

@@ -1,2 +0,0 @@
-venv
-__pycache__

agent/Dockerfile

@@ -3,10 +3,10 @@ FROM python:latest
 # set the working directory in the container
 WORKDIR /usr/agent
 # copy the dependencies file to the working directory
-COPY requirements.txt .
+COPY agent/requirements.txt .
 # install dependencies
-RUN pip install -r requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
 # copy the content of the local src directory to the working directory
-COPY src/ .
+COPY agent/src/ .
 # command to run on container start
 CMD ["python", "main.py"]

agent/docker/docker-compose.yaml

@@ -1,32 +0,0 @@
-name: "road_vision"
-services:
-  mqtt:
-    image: eclipse-mosquitto
-    container_name: mqtt
-    volumes:
-      - ./mosquitto:/mosquitto
-      - ./mosquitto/data:/mosquitto/data
-      - ./mosquitto/log:/mosquitto/log
-    ports:
-      - 1883:1883
-      - 9001:9001
-    networks:
-      mqtt_network:
-
-
-  fake_agent:
-    container_name: agent
-    build: ../
-    depends_on:
-      - mqtt
-    environment:
-      MQTT_BROKER_HOST: "mqtt"
-      MQTT_BROKER_PORT: 1883
-      MQTT_TOPIC: "agent_data_topic"
-      DELAY: 0.1
-    networks:
-      mqtt_network:
-
-
-networks:
-  mqtt_network:

agent/src/config.py

@@ -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

agent/src/domain/accelerometer.py

@@ -3,6 +3,6 @@ from dataclasses import dataclass
 
 @dataclass
 class Accelerometer:
-    x: int
+    x: float
-    y: int
+    y: float
-    z: int
+    z: float

agent/src/file_datasource.py

@@ -15,6 +15,7 @@ class FileDatasource:
 
     def __init__(
             self,
+            acc_divisor: float,
             accelerometer_filename: str,
             gps_filename: str,
             park_filename: str,
@@ -34,6 +35,8 @@ class FileDatasource:
 
         self._started = False
 
+        self.acc_divisor = acc_divisor
+
     def startReading(self, *args, **kwargs):
         """Must be called before read()"""
         if self._started:
@@ -160,15 +163,14 @@ class FileDatasource:
 
             return row
 
-    @staticmethod
+    def _parse_acc(self, row: List[str]) -> Accelerometer:
-    def _parse_acc(row: List[str]) -> Accelerometer:
         if len(row) < 3:
             raise ValueError(f"Accelerometer row must have 3 values (x,y,z). Got: {row}")
 
         try:
-            x = int(row[0])
+            x = int(row[0]) / self.acc_divisor
-            y = int(row[1])
+            y = int(row[1]) / self.acc_divisor
-            z = int(row[2])
+            z = int(row[2]) / self.acc_divisor
         except ValueError as e:
             raise ValueError(f"Invalid accelerometer values (expected integers): {row}") from e
 

agent/src/main.py

@@ -1,6 +1,7 @@
 from paho.mqtt import client as mqtt_client
 from schema.aggregated_data_schema import AggregatedDataSchema
 from file_datasource import FileDatasource
+import logging
 import config
 
 
@@ -28,6 +29,7 @@ def publish(client, topic, datasource):
         data = datasource.read()
         msg = AggregatedDataSchema().dumps(data)
         result = client.publish(topic, msg)
+        logging.info(f"Published to {topic}: {msg[:50]}...")
         status = result[0]
         if status != 0:
             print(f"Failed to send message to topic {topic}")
@@ -37,7 +39,7 @@ def run():
     # Prepare mqtt client
     client = connect_mqtt(config.MQTT_BROKER_HOST, config.MQTT_BROKER_PORT)
     # Prepare datasource
-    datasource = FileDatasource("data/accelerometer.csv", "data/gps.csv", "data/parking.csv")
+    datasource = FileDatasource(16384.0, "data/accelerometer.csv", "data/gps.csv", "data/parking.csv")
     # Infinity publish data
     publish(client, config.MQTT_TOPIC, datasource)
 

agent/src/schema/accelerometer_schema.py

@@ -2,6 +2,6 @@ from marshmallow import Schema, fields
 
 
 class AccelerometerSchema(Schema):
-    x = fields.Int()
+    x = fields.Float()
-    y = fields.Int()
+    y = fields.Float()
-    z = fields.Int()
+    z = fields.Float()

docker-compose.yaml

@@ -1,13 +1,12 @@
-version: "3.9"
+name: "road_vision"
-name: "road_vision__hub"
 services:
   mqtt:
     image: eclipse-mosquitto
     container_name: mqtt
     volumes:
-      - ./mosquitto:/mosquitto
+      - ./agent/docker/mosquitto:/mosquitto
-      - ./mosquitto/data:/mosquitto/data
+      - ./agent/docker/mosquitto/data:/mosquitto/data
-      - ./mosquitto/log:/mosquitto/log
+      - ./agent/docker/mosquitto/log:/mosquitto/log
     ports:
       - 1883:1883
       - 9001:9001
@@ -15,8 +14,45 @@ services:
       mqtt_network:
 
 
+  fake_agent:
+    container_name: agent
+    build:
+      context: .
+      dockerfile: agent/Dockerfile
+    depends_on:
+      - mqtt
+    environment:
+      PYTHONUNBUFFERED: 1
+      MQTT_BROKER_HOST: "mqtt"
+      MQTT_BROKER_PORT: 1883
+      MQTT_TOPIC: "agent_data_topic"
+      DELAY: 0.1
+    networks:
+      mqtt_network:
+
+  edge:
+    container_name: edge
+    build:
+      context: .
+      dockerfile: edge/Dockerfile
+    depends_on:
+      - mqtt
+    environment:
+      MQTT_BROKER_HOST: "mqtt"
+      MQTT_BROKER_PORT: 1883
+      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"
+    networks:
+      mqtt_network:
+      edge_hub:
+
   postgres_db:
-    image: postgres:latest
+    image: postgres:17
     container_name: postgres_db
     restart: always
     environment:
@@ -25,13 +61,12 @@ services:
       POSTGRES_DB: test_db
     volumes:
       - postgres_data:/var/lib/postgresql/data
-      - ./db/structure.sql:/docker-entrypoint-initdb.d/structure.sql
+      - ./store/docker/db/structure.sql:/docker-entrypoint-initdb.d/structure.sql
     ports:
       - "5432:5432"
     networks:
       db_network:
 
-
   pgadmin:
     container_name: pgadmin4
     image: dpage/pgadmin4
@@ -49,11 +84,14 @@ services:
 
   store:
     container_name: store
-    build: ../../store
+    build:
+      context: .
+      dockerfile: store/Dockerfile
     depends_on:
       - postgres_db
     restart: always
     environment:
+      PYTHONUNBUFFERED: 1
       POSTGRES_USER: user
       POSTGRES_PASSWORD: pass
       POSTGRES_DB: test_db
@@ -77,12 +115,15 @@ services:
 
   hub:
     container_name: hub
-    build: ../
+    build:
+      context: .
+      dockerfile: hub/Dockerfile
     depends_on:
       - mqtt
       - redis
       - store
     environment:
+      PYTHONUNBUFFERED: 1
       STORE_API_HOST: "store"
       STORE_API_PORT: 8000
       REDIS_HOST: "redis"
@@ -90,7 +131,7 @@ services:
       MQTT_BROKER_HOST: "mqtt"
       MQTT_BROKER_PORT: 1883
       MQTT_TOPIC: "processed_data_topic"
-      BATCH_SIZE: 1
+      BATCH_SIZE: 20
     ports:
       - "9000:8000"
     networks:
@@ -98,10 +139,11 @@ services:
       hub_store:
       hub_redis:
 
-
 networks:
   mqtt_network:
   db_network:
+  edge_hub:
+  hub:
   hub_store:
   hub_redis:
 

edge/.gitignore

@@ -1,2 +0,0 @@
-venv
-app.log

edge/Dockerfile

@@ -3,9 +3,9 @@ FROM python:3.9-slim
 # Set the working directory inside the container
 WORKDIR /app
 # Copy the requirements.txt file and install dependencies
-COPY requirements.txt .
+COPY edge/requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 # Copy the entire application into the container
-COPY . .
+COPY edge/. .
 # Run the main.py script inside the container when it starts
 CMD ["python", "main.py"]

edge/app/adapters/agent_mqtt_adapter.py

@@ -13,9 +13,7 @@ class AgentMQTTAdapter(AgentGateway):
         broker_port,
         topic,
         hub_gateway: HubGateway,
-        batch_size=10,
     ):
-        self.batch_size = batch_size
         # MQTT
         self.broker_host = broker_host
         self.broker_port = broker_port
@@ -35,42 +33,21 @@ class AgentMQTTAdapter(AgentGateway):
         """Processing agent data and sent it to hub gateway"""
         try:
             payload: str = msg.payload.decode("utf-8")
-            # Create AgentData instance with the received data
+
             agent_data = AgentData.model_validate_json(payload, strict=True)
-            # 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 not self.hub_gateway.save_data(processed_data):
+            if self.hub_gateway.save_data(processed_data):
-                logging.error("Hub is not available")
+                logging.info("Processed data successfully forwarded to the Hub.")
+            else:
+                logging.error("Failed to send data: Hub gateway is unavailable.")
         except Exception as e:
-            logging.info(f"Error processing MQTT message: {e}")
+            logging.error(f"Error processing MQTT message: {e}")
 
     def connect(self):
         self.client.on_connect = self.on_connect
         self.client.on_message = self.on_message
         self.client.connect(self.broker_host, self.broker_port, 60)
 
-    def start(self):
+    def loop_forever(self):
-        self.client.loop_start()
+        self.client.loop_forever()
-
-    def stop(self):
-        self.client.loop_stop()
-
-
-# Usage example:
-if __name__ == "__main__":
-    broker_host = "localhost"
-    broker_port = 1883
-    topic = "agent_data_topic"
-    # Assuming you have implemented the StoreGateway and passed it to the adapter
-    store_gateway = HubGateway()
-    adapter = AgentMQTTAdapter(broker_host, broker_port, topic, store_gateway)
-    adapter.connect()
-    adapter.start()
-    try:
-        # Keep the adapter running in the background
-        while True:
-            pass
-    except KeyboardInterrupt:
-        adapter.stop()
-        logging.info("Adapter stopped.")

edge/app/entities/agent_data.py

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

edge/app/interfaces/agent_gateway.py

@@ -26,15 +26,8 @@ class AgentGateway(ABC):
         pass
 
     @abstractmethod
-    def start(self):
+    def loop_forever(self):
         """
-        Method to start listening for messages from the agent.
+        Method to await for new messages.
-        """
-        pass
-
-    @abstractmethod
-    def stop(self):
-        """
-        Method to stop the agent gateway and clean up resources.
         """
         pass

edge/app/usecases/data_processing.py

@@ -1,6 +1,7 @@
 from app.entities.agent_data import AgentData
 from app.entities.processed_agent_data import ProcessedAgentData
 
+_last_detection_state = {}
 
 def process_agent_data(
     agent_data: AgentData,
@@ -12,4 +13,24 @@ def process_agent_data(
     Returns:
         processed_data_batch (ProcessedAgentData): Processed data containing the classified state of the road surface and agent data.
     """
-    # Implement it
+    user_id = agent_data.user_id
+    road_state = "normal"
+
+    last_detection_state = _last_detection_state.get(user_id, False)
+
+    if (agent_data.accelerometer.z < 0.6):
+        road_state = "pothole"
+    elif (agent_data.accelerometer.z > 1.2):
+        road_state = "bump"
+
+    detection_happened = road_state != "normal"
+
+    if not (not last_detection_state and detection_happened):
+        road_state = "normal"
+
+    _last_detection_state[user_id] = detection_happened
+
+    return ProcessedAgentData(
+        road_state=road_state,
+        agent_data=agent_data
+    )

edge/config.py

@@ -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"

edge/docker/docker-compose.yaml

@@ -1,48 +0,0 @@
-version: "3.9"
-# name: "road_vision"
-services:
-  mqtt:
-    image: eclipse-mosquitto
-    container_name: mqtt
-    volumes:
-      - ./mosquitto:/mosquitto
-      - ./mosquitto/data:/mosquitto/data
-      - ./mosquitto/log:/mosquitto/log
-    ports:
-      - 1883:1883
-      - 19001:9001
-    networks:
-      mqtt_network:
-
-
-  edge:
-    container_name: edge
-    build: ../
-    depends_on:
-      - mqtt
-    environment:
-      MQTT_BROKER_HOST: "mqtt"
-      MQTT_BROKER_PORT: 1883
-      MQTT_TOPIC: " "
-      HUB_HOST: "store"
-      HUB_PORT: 8000
-      HUB_MQTT_BROKER_HOST: "mqtt"
-      HUB_MQTT_BROKER_PORT: 1883
-      HUB_MQTT_TOPIC: "processed_data_topic"
-    networks:
-      mqtt_network:
-      edge_hub:
-
-
-networks:
-  mqtt_network:
-  db_network:
-  edge_hub:
-  hub:
-  hub_store:
-  hub_redis:
-
-
-volumes:
-  postgres_data:
-  pgadmin-data:

edge/main.py

@@ -10,42 +10,51 @@ 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.StreamHandler(),
-            logging.FileHandler("app.log"),  # Save log messages to a file
+            logging.FileHandler("app.log"),
         ],
     )
-    # Create an instance of the StoreApiAdapter using the configuration
+
-    # hub_adapter = HubHttpAdapter(
+    # Logic to select the adapter based on configuration (SCRUM-93 & SCRUM-94)
-    #     api_base_url=HUB_URL,
+    # This allows easy switching between HTTP and MQTT protocols
-    # )
+    if HUB_CONNECTION_TYPE.lower() == "http":
-    hub_adapter = HubMqttAdapter(
+        logging.info("Initializing HubHttpAdapter (SCRUM-93 integration)")
-        broker=HUB_MQTT_BROKER_HOST,
+        hub_adapter = HubHttpAdapter(
-        port=HUB_MQTT_BROKER_PORT,
+            api_base_url=HUB_URL,
-        topic=HUB_MQTT_TOPIC,
+        )
-    )
+    else:
-    # Create an instance of the AgentMQTTAdapter using the configuration
+        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 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"Connecting to MQTT broker at {MQTT_BROKER_HOST}:{MQTT_BROKER_PORT}")
         agent_adapter.connect()
-        agent_adapter.start()
+
-        # Keep the system running indefinitely (you can add other logic as needed)
+        logging.info("Broker connection success. Waiting for data...")
-        while True:
+        agent_adapter.loop_forever()
-            pass
     except KeyboardInterrupt:
-        # Stop the MQTT adapter and exit gracefully if interrupted by the user
+        logging.info("Interrupt signal received. Shutting down...")
-        agent_adapter.stop()
+        agent_adapter.disconnect()
-        logging.info("System stopped.")
+        logging.info("Disconnected from MQTT broker.")

hub/.gitignore

@@ -1,2 +0,0 @@
-venv
-__pycache__

hub/Dockerfile

@@ -3,9 +3,10 @@ FROM python:3.9-slim
 # Set the working directory inside the container
 WORKDIR /app
 # Copy the requirements.txt file and install dependencies
-COPY requirements.txt .
+COPY hub/requirements.txt .
+
 RUN pip install --no-cache-dir -r requirements.txt
 # Copy the entire application into the container
-COPY . .
+COPY hub/. .
 # Run the main.py script inside the container when it starts
 CMD ["uvicorn", "main:app", "--host", "0.0.0.0"]

hub/Dockerfile-test

@@ -0,0 +1,12 @@
+# Use the official Python image as the base image
+FROM python:3.9-slim
+# Set the working directory inside the container
+WORKDIR /app
+# Copy the requirements.txt file and install dependencies
+COPY hub/requirements.txt .
+
+RUN pip install --no-cache-dir -r requirements.txt
+# Copy the entire application into the container
+COPY hub/. .
+# Run the main.py script inside the container when it starts
+CMD ["./test-entry.sh"]

hub/app/adapters/store_api_adapter.py

@@ -13,12 +13,39 @@ class StoreApiAdapter(StoreGateway):
     def __init__(self, api_base_url):
         self.api_base_url = api_base_url
 
+    def processed_agent_data_batch_to_payload(self, processed_agent_data_batch: List[ProcessedAgentData]):
+        if not processed_agent_data_batch:
+            return False
+
+        # Extract user_id from the first element
+        user_id = processed_agent_data_batch[0].agent_data.user_id
+
+        payload = {
+            "data": [item.model_dump(mode='json') for item in processed_agent_data_batch],
+            "user_id": user_id
+        }
+
+        return payload
+
     def save_data(self, processed_agent_data_batch: List[ProcessedAgentData]):
-        """
+        payload = self.processed_agent_data_batch_to_payload(processed_agent_data_batch)
-        Save the processed road data to the Store API.
+
-        Parameters:
+        if payload == False:
-            processed_agent_data_batch (dict): Processed road data to be saved.
+            return False
-        Returns:
+
-            bool: True if the data is successfully saved, False otherwise.
+        try:
-        """
+            # Perform a POST request to the Store API with a 10-second timeout
-        # Implement it
+            response = requests.post(
+                f"{self.api_base_url}/processed_agent_data/",
+                json=payload,
+                timeout=10
+            )
+            if response.status_code == 200:
+                logging.info(f"Batch of {len(processed_agent_data_batch)} items sent to Store.")
+                return True
+            else:
+                logging.error(f"Store API error: {response.status_code} - {response.text}")
+                return False
+        except Exception as e:
+            logging.error(f"Failed to send data to Store: {e}")
+            return False

hub/app/adapters/store_api_adapter_test.py

@@ -0,0 +1,41 @@
+from app.adapters.store_api_adapter import StoreApiAdapter
+from app.entities.agent_data import AccelerometerData, AgentData, GpsData
+from app.entities.processed_agent_data import ProcessedAgentData
+
+def _test_processed_agent_data_batch_to_payload():
+    processed_data_batch = [
+            ProcessedAgentData(road_state = "normal",
+                               agent_data = AgentData(user_id = 1,
+                                                      accelerometer = AccelerometerData(x = 0.1, y = 0.2, z = 0.3),
+                                                      gps = GpsData(latitude = 10.123, longitude = 20.456),
+                                                      timestamp = "2023-07-21T12:34:56Z")
+            ),
+            ProcessedAgentData(road_state = "normal",
+                               agent_data = AgentData(user_id = 2,
+                                                      accelerometer = AccelerometerData(x = 0.1, y = 0.2, z = 0.3),
+                                                      gps = GpsData(latitude = 10.123, longitude = 20.456),
+                                                      timestamp = "2023-07-21T12:34:56Z")
+            ),
+            ProcessedAgentData(road_state = "normal",
+                               agent_data = AgentData(user_id = 3,
+                                                      accelerometer = AccelerometerData(x = 0.1, y = 0.2, z = 0.3),
+                                                      gps = GpsData(latitude = 10.123, longitude = 20.456),
+                                                      timestamp = "2023-07-21T12:34:56Z")
+            ),
+    ]
+
+    res = StoreApiAdapter(None).processed_agent_data_batch_to_payload(processed_data_batch)
+
+    assert res["data"][0]["agent_data"]["user_id"] == 1
+    assert res["data"][1]["agent_data"]["user_id"] == 2
+    assert res["data"][2]["agent_data"]["user_id"] == 3
+
+    assert StoreApiAdapter(None).processed_agent_data_batch_to_payload([]) == False
+
+
+if __name__ == "__main__":
+    test_functions = [i for i in dir() if i.startswith('_test_')]
+
+    for i in test_functions:
+        print(i)
+        eval(i)()

hub/main.py

@@ -70,18 +70,20 @@ def on_message(client, userdata, msg):
         processed_agent_data = ProcessedAgentData.model_validate_json(
             payload, strict=True
         )
-
         redis_client.lpush(
             "processed_agent_data", processed_agent_data.model_dump_json()
         )
-        processed_agent_data_batch: List[ProcessedAgentData] = []
+
         if redis_client.llen("processed_agent_data") >= BATCH_SIZE:
+            processed_agent_data_batch: List[ProcessedAgentData] = []
             for _ in range(BATCH_SIZE):
-                processed_agent_data = ProcessedAgentData.model_validate_json(
+                raw_data = redis_client.lpop("processed_agent_data")
-                    redis_client.lpop("processed_agent_data")
+                if raw_data:
-                )
+                    data_item = ProcessedAgentData.model_validate_json(raw_data)
-                processed_agent_data_batch.append(processed_agent_data)
+                    processed_agent_data_batch.append(data_item)
-        store_adapter.save_data(processed_agent_data_batch=processed_agent_data_batch)
+
+            store_adapter.save_data(processed_agent_data_batch=processed_agent_data_batch)
+
         return {"status": "ok"}
     except Exception as e:
         logging.info(f"Error processing MQTT message: {e}")

hub/test-entry.sh

@@ -0,0 +1,3 @@
+#!/bin/sh
+
+PYTHONPATH=$PWD python3 app/adapters/store_api_adapter_test.py

store/.gitignore

@@ -1,3 +0,0 @@
-venv
-__pycache__
-.idea

store/Dockerfile

@@ -3,9 +3,10 @@ FROM python:latest
 # Set the working directory inside the container
 WORKDIR /app
 # Copy the requirements.txt file and install dependencies
-COPY requirements.txt .
+COPY store/requirements.txt .
+
 RUN pip install --no-cache-dir -r requirements.txt
 # Copy the entire application into the container
-COPY . .
+COPY store/. .
 # Run the main.py script inside the container when it starts
 CMD ["uvicorn", "main:app", "--host", "0.0.0.0"]

store/Dockerfile-test

@@ -0,0 +1,13 @@
+# Use the official Python image as the base image
+FROM python:latest
+# Set the working directory inside the container
+WORKDIR /app
+# Copy the requirements.txt file and install dependencies
+COPY store/requirements.txt .
+
+RUN pip install --no-cache-dir -r requirements.txt
+# Copy the entire application into the container
+COPY store/. .
+# Run the main.py script inside the container when it starts
+#CMD ["uvicorn", "main:app", "--host", "0.0.0.0"]
+CMD ["./test-entry.sh"]

store/database.py

@@ -0,0 +1,15 @@
+from sqlalchemy import MetaData
+from sqlalchemy import create_engine
+from sqlalchemy.orm import sessionmaker, declarative_base
+
+from config import POSTGRES_USER, POSTGRES_PASSWORD, POSTGRES_HOST, POSTGRES_PORT, POSTGRES_DB
+
+
+DATABASE_URL = f"postgresql+psycopg2://{POSTGRES_USER}:{POSTGRES_PASSWORD}@{POSTGRES_HOST}:{POSTGRES_PORT}/{POSTGRES_DB}"
+engine = create_engine(DATABASE_URL)
+
+Base = declarative_base()
+
+metadata = MetaData()
+
+SessionLocal = sessionmaker(bind=engine)

store/docker/docker-compose.yaml

@@ -1,60 +0,0 @@
-version: "3.9"
-name: "road_vision__database"
-services:
-  postgres_db:
-    image: postgres:latest
-    container_name: postgres_db
-    restart: always
-    environment:
-      POSTGRES_USER: user
-      POSTGRES_PASSWORD: pass
-      POSTGRES_DB: test_db
-    volumes:
-      - postgres_data:/var/lib/postgresql/data
-      - ./db/structure.sql:/docker-entrypoint-initdb.d/structure.sql
-    ports:
-      - "5432:5432"
-    networks:
-      db_network:
-
-
-  pgadmin:
-    container_name: pgadmin4
-    image: dpage/pgadmin4
-    restart: always
-    environment:
-      PGADMIN_DEFAULT_EMAIL: admin@admin.com
-      PGADMIN_DEFAULT_PASSWORD: root
-    volumes:
-      - pgadmin-data:/var/lib/pgadmin
-    ports:
-      - "5050:80"
-    networks:
-      db_network:
-
-
-  store:
-    container_name: store
-    build: ..
-    depends_on:
-      - postgres_db
-    restart: always
-    environment:
-      POSTGRES_USER: user
-      POSTGRES_PASSWORD: pass
-      POSTGRES_DB: test_db
-      POSTGRES_HOST: postgres_db
-      POSTGRES_PORT: 5432
-    ports:
-      - "8000:8000"
-    networks:
-      db_network:
-
-
-networks:
-  db_network:
-
-
-volumes:
-  postgres_data:
-  pgadmin-data:

store/main.py

@@ -1,10 +1,8 @@
-import asyncio
 import json
-from typing import Set, Dict, List, Any
+from typing import Set, Dict, List
 from fastapi import FastAPI, HTTPException, WebSocket, WebSocketDisconnect, Body
+from fastapi.encoders import jsonable_encoder
 from sqlalchemy import (
-    create_engine,
-    MetaData,
     Table,
     Column,
     Integer,
@@ -12,25 +10,14 @@ from sqlalchemy import (
     Float,
     DateTime,
 )
-from sqlalchemy.orm import sessionmaker
 from sqlalchemy.sql import select
-from datetime import datetime
+
-from pydantic import BaseModel, field_validator
+from database import metadata, SessionLocal
-from config import (
+from schemas import ProcessedAgentData, ProcessedAgentDataInDB
-    POSTGRES_HOST,
-    POSTGRES_PORT,
-    POSTGRES_DB,
-    POSTGRES_USER,
-    POSTGRES_PASSWORD,
-)
 
 # FastAPI app setup
 app = FastAPI()
-# SQLAlchemy setup
+
-DATABASE_URL = f"postgresql+psycopg2://{POSTGRES_USER}:{POSTGRES_PASSWORD}@{POSTGRES_HOST}:{POSTGRES_PORT}/{POSTGRES_DB}"
-engine = create_engine(DATABASE_URL)
-metadata = MetaData()
-# Define the ProcessedAgentData table
 processed_agent_data = Table(
     "processed_agent_data",
     metadata,
@@ -44,91 +31,80 @@ processed_agent_data = Table(
     Column("longitude", Float),
     Column("timestamp", DateTime),
 )
-SessionLocal = sessionmaker(bind=engine)
-
-
-# SQLAlchemy model
-class ProcessedAgentDataInDB(BaseModel):
-    id: int
-    road_state: str
-    user_id: int
-    x: float
-    y: float
-    z: float
-    latitude: float
-    longitude: float
-    timestamp: datetime
-
-
-# FastAPI models
-class AccelerometerData(BaseModel):
-    x: float
-    y: float
-    z: float
-
-
-class GpsData(BaseModel):
-    latitude: float
-    longitude: float
-
-
-class AgentData(BaseModel):
-    user_id: int
-    accelerometer: AccelerometerData
-    gps: GpsData
-    timestamp: datetime
-
-    @classmethod
-    @field_validator("timestamp", mode="before")
-    def check_timestamp(cls, value):
-        if isinstance(value, datetime):
-            return value
-        try:
-            return datetime.fromisoformat(value)
-        except (TypeError, ValueError):
-            raise ValueError(
-                "Invalid timestamp format. Expected ISO 8601 format (YYYY-MM-DDTHH:MM:SSZ)."
-            )
-
-
-class ProcessedAgentData(BaseModel):
-    road_state: str
-    agent_data: AgentData
-
 
 # WebSocket subscriptions
-subscriptions: Dict[int, Set[WebSocket]] = {}
+subscriptions: Set[WebSocket] = set()
 
 
 # FastAPI WebSocket endpoint
 @app.websocket("/ws/{user_id}")
 async def websocket_endpoint(websocket: WebSocket, user_id: int):
     await websocket.accept()
-    if user_id not in subscriptions:
+
-        subscriptions[user_id] = set()
+    subscriptions.add(websocket)
-    subscriptions[user_id].add(websocket)
+
     try:
+        # send already available data
+        r = processed_agent_data.select()
+        stored_data = SessionLocal().execute(r).fetchall()
+
+        jsonable_data = [{c.name: getattr(i, c.name) for c in processed_agent_data.columns} for i in stored_data]
+        for i in jsonable_data:
+            i['timestamp'] = i['timestamp'].strftime("%Y-%m-%dT%H:%M:%SZ")
+
+        for i in jsonable_data:
+            await websocket.send_json(json.dumps([i]))
+
+        # receive forever
         while True:
             await websocket.receive_text()
     except WebSocketDisconnect:
-        subscriptions[user_id].remove(websocket)
+        subscriptions.remove(websocket)
 
 
 # Function to send data to subscribed users
-async def send_data_to_subscribers(user_id: int, data):
+async def send_data_to_subscribers(data):
-    if user_id in subscriptions:
+    for websocket in subscriptions:
-        for websocket in subscriptions[user_id]:
+        await websocket.send_json(json.dumps([data]))
-            await websocket.send_json(json.dumps(data))
 
 
 # FastAPI CRUDL endpoints
 
+def ProcessedAgentData_to_td(data: List[ProcessedAgentData]):
+        return [
+            {
+                "road_state": item.road_state,
+                "user_id": item.agent_data.user_id,
+                "x": item.agent_data.accelerometer.x,
+                "y": item.agent_data.accelerometer.y,
+                "z": item.agent_data.accelerometer.z,
+                "latitude": item.agent_data.gps.latitude,
+                "longitude": item.agent_data.gps.longitude,
+                "timestamp": item.agent_data.timestamp,
+            }
+            for item in data
+        ]
+
 
 @app.post("/processed_agent_data/")
-async def create_processed_agent_data(data: List[ProcessedAgentData]):
+async def create_processed_agent_data(data: List[ProcessedAgentData], user_id: int = Body(..., embed=True)):
-    # Insert data to database
+    session = SessionLocal()
-    # Send data to subscribers
+    try:
-    pass
+        created_data = ProcessedAgentData_to_td(data)
+        stmt = processed_agent_data.insert().values(created_data).returning(processed_agent_data)
+        result = session.execute(stmt)
+        created_records = [dict(row._mapping) for row in result.fetchall()]
+        session.commit()
+
+        for record in created_records:
+            await send_data_to_subscribers(jsonable_encoder(record))
+        return created_records
+    except Exception as err:
+        session.rollback()
+        print(f"Database error: {err}")
+        raise HTTPException(status_code=500, detail="Internal Server Error")
+    finally:
+        session.close()
 
 
 @app.get(
@@ -136,14 +112,34 @@ async def create_processed_agent_data(data: List[ProcessedAgentData]):
     response_model=ProcessedAgentDataInDB,
 )
 def read_processed_agent_data(processed_agent_data_id: int):
-    # Get data by id
+    session = SessionLocal()
-    pass
+    try:
+        stmt = select(processed_agent_data).where(
+            processed_agent_data.c.id == processed_agent_data_id
+        )
+        res = session.execute(stmt).fetchone()
+        if not res:
+            raise HTTPException(status_code=404, detail="Not found")
+
+        return dict(res._mapping)
+
+    finally:
+        session.close()
 
 
 @app.get("/processed_agent_data/", response_model=list[ProcessedAgentDataInDB])
 def list_processed_agent_data():
-    # Get list of data
+    session = SessionLocal()
-    pass
+    try:
+        stmt = select(processed_agent_data)
+        res = session.execute(stmt).fetchall()
+        if not res:
+            raise HTTPException(status_code=404, detail="Not found")
+
+        return [dict(r._mapping) for r in res]
+
+    finally:
+        session.close()
 
 
 @app.put(
@@ -152,7 +148,41 @@ def list_processed_agent_data():
 )
 def update_processed_agent_data(processed_agent_data_id: int, data: ProcessedAgentData):
     # Update data
-    pass
+    session = SessionLocal()
+
+    try:
+        query = select(processed_agent_data).where(
+            processed_agent_data.c.id == processed_agent_data_id
+        )
+        result = session.execute(query).fetchone()
+
+        if not result:
+            raise HTTPException(status_code=404, detail="Data not found")
+
+        update_query = (
+            processed_agent_data.update()
+            .where(processed_agent_data.c.id == processed_agent_data_id)
+            .values(
+                road_state=data.road_state,
+                user_id=data.agent_data.user_id,
+                x=data.agent_data.accelerometer.x,
+                y=data.agent_data.accelerometer.y,
+                z=data.agent_data.accelerometer.z,
+                latitude=data.agent_data.gps.latitude,
+                longitude=data.agent_data.gps.longitude,
+                timestamp=data.agent_data.timestamp,
+            )
+        )
+
+        session.execute(update_query)
+        session.commit()
+
+        updated_result = session.execute(query).fetchone()
+
+        return ProcessedAgentDataInDB(**updated_result._mapping)
+
+    finally:
+        session.close()
 
 
 @app.delete(
@@ -161,8 +191,28 @@ def update_processed_agent_data(processed_agent_data_id: int, data: ProcessedAge
 )
 def delete_processed_agent_data(processed_agent_data_id: int):
     # Delete by id
-    pass
+    session = SessionLocal()
 
+    try:
+        query = select(processed_agent_data).where(
+            processed_agent_data.c.id == processed_agent_data_id
+        )
+        result = session.execute(query).fetchone()
+
+        if not result:
+            raise HTTPException(status_code=404, detail="Data not found")
+
+        delete_query = processed_agent_data.delete().where(
+            processed_agent_data.c.id == processed_agent_data_id
+        )
+
+        session.execute(delete_query)
+        session.commit()
+
+        return ProcessedAgentDataInDB(**result._mapping)
+
+    finally:
+        session.close()
 
 if __name__ == "__main__":
     import uvicorn

store/schemas.py

@@ -0,0 +1,51 @@
+from datetime import datetime
+
+from pydantic import BaseModel, field_validator
+
+
+class ProcessedAgentDataInDB(BaseModel):
+    id: int
+    road_state: str
+    user_id: int
+    x: float
+    y: float
+    z: float
+    latitude: float
+    longitude: float
+    timestamp: datetime
+
+
+# FastAPI models
+class AccelerometerData(BaseModel):
+    x: float
+    y: float
+    z: float
+
+
+class GpsData(BaseModel):
+    latitude: float
+    longitude: float
+
+
+class AgentData(BaseModel):
+    user_id: int
+    accelerometer: AccelerometerData
+    gps: GpsData
+    timestamp: datetime
+
+    @classmethod
+    @field_validator("timestamp", mode="before")
+    def check_timestamp(cls, value):
+        if isinstance(value, datetime):
+            return value
+        try:
+            return datetime.fromisoformat(value)
+        except (TypeError, ValueError):
+            raise ValueError(
+                "Invalid timestamp format. Expected ISO 8601 format (YYYY-MM-DDTHH:MM:SSZ)."
+            )
+
+
+class ProcessedAgentData(BaseModel):
+    road_state: str
+    agent_data: AgentData

store/test-entry.sh

@@ -0,0 +1,3 @@
+#!/bin/sh
+
+PYTHONPATH=$PWD python3 test/main_test.py

store/test/main_test.py

@@ -0,0 +1,39 @@
+from schemas import AccelerometerData, AgentData, GpsData, ProcessedAgentData
+
+import main
+
+def _test_ProcessedAgentData_to_td():
+    processed_data_batch = [
+            ProcessedAgentData(road_state = "normal",
+                               agent_data = AgentData(user_id = 1,
+                                                      accelerometer = AccelerometerData(x = 0.1, y = 0.2, z = 0.3),
+                                                      gps = GpsData(latitude = 10.123, longitude = 20.456),
+                                                      timestamp = "2023-07-21T12:34:56Z")
+            ),
+            ProcessedAgentData(road_state = "normal",
+                               agent_data = AgentData(user_id = 2,
+                                                      accelerometer = AccelerometerData(x = 0.1, y = 0.2, z = 0.3),
+                                                      gps = GpsData(latitude = 10.123, longitude = 20.456),
+                                                      timestamp = "2023-07-21T12:34:56Z")
+            ),
+            ProcessedAgentData(road_state = "normal",
+                               agent_data = AgentData(user_id = 3,
+                                                      accelerometer = AccelerometerData(x = 0.1, y = 0.2, z = 0.3),
+                                                      gps = GpsData(latitude = 10.123, longitude = 20.456),
+                                                      timestamp = "2023-07-21T12:34:56Z")
+            ),
+    ]
+
+    res = main.ProcessedAgentData_to_td(processed_data_batch)
+
+    assert res[0]["user_id"] == 1
+    assert res[1]["user_id"] == 2
+    assert res[2]["user_id"] == 3
+
+
+if __name__ == "__main__":
+    test_functions = [i for i in dir() if i.startswith('_test_')]
+
+    for i in test_functions:
+        print(i)
+        eval(i)()

utils/check-up.py

@@ -0,0 +1,19 @@
+import sys
+
+print("Checking for dead containers...")
+
+l = [i for i in sys.stdin.read().split("\n") if i]
+header, statuses = l[0], l[1:]
+
+status_index = header.find('STATUS')
+name_index = header.find('NAMES')
+
+exit_code = 0
+
+for i in statuses:
+    if not i[status_index:].startswith("Up "):
+        service_name = i[name_index:]
+        print(f"Crash detected in {service_name}")
+        exit_code = 1
+
+sys.exit(exit_code)