SCRUM-48: feature with CRUD (GET)

CRUD операції (POST, websocket)

.gitignore

@@ -1,2 +0,0 @@
-agent/docker/mosquitto/data/
-agent/docker/mosquitto/log/

.idea/.gitignore

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+# Default ignored files
+/shelf/
+/workspace.xml

.idea/IoT-Systems.iml

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.idea/inspectionProfiles/Project_Default.xml

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.idea/misc.xml

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.idea/vcs.xml

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agent/docker/docker-compose.yaml

@@ -1,4 +1,3 @@
-version: "3.9"
 name: "road_vision"
 services:
   mqtt:

agent/src/file_datasource.py

@@ -1,9 +1,5 @@
-import csv
+from csv import reader
-import time
 from datetime import datetime
-from pathlib import Path
-from typing import Optional, List
-
 from domain.accelerometer import Accelerometer
 from domain.gps import Gps
 from domain.aggregated_data import AggregatedData
@@ -11,141 +7,24 @@ import config
 
 
 class FileDatasource:
-
+    def __init__(
-    def __init__(self, accelerometer_filename: str, gps_filename: str) -> None:
+        self,
-        self.accelerometer_filename = accelerometer_filename
+        accelerometer_filename: str,
-        self.gps_filename = gps_filename
+        gps_filename: str,
-
+    ) -> None:
-        self._acc_f = None
+        pass
-        self._gps_f = None
-        self._acc_reader: Optional[csv.reader] = None
-        self._gps_reader: Optional[csv.reader] = None
-
-        self._started = False
-
-    def startReading(self, *args, **kwargs):
-        """Must be called before read()"""
-        if self._started:
-            return
-
-        if not Path(self.accelerometer_filename).exists():
-            raise FileNotFoundError(f"Accelerometer file not found: {self.accelerometer_filename}")
-        if not Path(self.gps_filename).exists():
-            raise FileNotFoundError(f"GPS file not found: {self.gps_filename}")
-
-        self._open_files()
-        self._started = True
-
-    def stopReading(self, *args, **kwargs):
-        """Must be called when finishing reading"""
-        self._close_files()
-        self._started = False
 
     def read(self) -> AggregatedData:
-        """Return one combined sample (acc + gps)."""
+        """Метод повертає дані отримані з датчиків"""
-        if not self._started:
-            raise RuntimeError("Datasource is not started. Call startReading() before read().")
-
-        acc_row = self._get_next_row(self._acc_reader, source="acc")
-        gps_row = self._get_next_row(self._gps_reader, source="gps")
-
-        acc = self._parse_acc(acc_row)
-        gps = self._parse_gps(gps_row)
-
-        # IMPORTANT: timing belongs to datasource (not MQTT / main.py)
-        if config.DELAY and config.DELAY > 0:
-            time.sleep(float(config.DELAY))
-
         return AggregatedData(
-            accelerometer=acc,
+            Accelerometer(1, 2, 3),
-            gps=gps,
+            Gps(4, 5),
-            timestamp=datetime.utcnow(),
+            datetime.now(),
-            user_id=config.USER_ID,
+            config.USER_ID,
         )
 
-    # ---------------- internal ----------------
+    def startReading(self, *args, **kwargs):
+        """Метод повинен викликатись перед початком читання даних"""
 
-    def _open_files(self) -> None:
+    def stopReading(self, *args, **kwargs):
-        self._close_files()
+        """Метод повинен викликатись для закінчення читання даних"""
-
-        self._acc_f = open(self.accelerometer_filename, "r", newline="", encoding="utf-8")
-        self._gps_f = open(self.gps_filename, "r", newline="", encoding="utf-8")
-
-        self._acc_reader = csv.reader(self._acc_f, skipinitialspace=True)
-        self._gps_reader = csv.reader(self._gps_f, skipinitialspace=True)
-
-        # File pointer is already at 0 right after open(), so no need to rewind here.
-        # Skip header row once.
-        next(self._acc_reader, None)
-        next(self._gps_reader, None)
-
-    def _close_files(self) -> None:
-        for f in (self._acc_f, self._gps_f):
-            try:
-                if f is not None:
-                    f.close()
-            except Exception:
-                pass
-
-        self._acc_f = None
-        self._gps_f = None
-        self._acc_reader = None
-        self._gps_reader = None
-
-    def _rewind_acc(self) -> None:
-        if self._acc_f is None:
-            raise RuntimeError("Accelerometer file is not open.")
-        self._acc_f.seek(0)
-        self._acc_reader = csv.reader(self._acc_f, skipinitialspace=True)
-        next(self._acc_reader, None)  # skip header row
-
-    def _rewind_gps(self) -> None:
-        if self._gps_f is None:
-            raise RuntimeError("GPS file is not open.")
-        self._gps_f.seek(0)
-        self._gps_reader = csv.reader(self._gps_f, skipinitialspace=True)
-        next(self._gps_reader, None)  # skip header row
-
-    def _get_next_row(self, reader, source: str) -> List[str]:
-        """Get the next valid row from the reader."""
-        if reader is None:
-            raise RuntimeError("Reader is not initialized.")
-
-        while True:
-            row = next(reader, None)
-            if row is None:
-                # EOF -> rewind & continue
-                if source == "acc":
-                    self._rewind_acc()
-                    reader = self._acc_reader
-                else:
-                    self._rewind_gps()
-                    reader = self._gps_reader
-                continue
-
-            if not row or not any(cell.strip() for cell in row):
-                continue
-
-            return row
-
-    @staticmethod
-    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])
-            y = int(row[1])
-            z = int(row[2])
-        except ValueError as e:
-            raise ValueError(f"Invalid accelerometer values (expected integers): {row}") from e
-
-        return Accelerometer(x=x, y=y, z=z)
-
-    @staticmethod
-    def _parse_gps(row: List[str]) -> Gps:
-        if len(row) < 2:
-            raise ValueError(f"GPS row must have 2 values (longitude,latitude). Got: {row}")
-        lon = float(row[0])
-        lat = float(row[1])
-        return Gps(longitude=lon, latitude=lat)

agent/src/main.py

@@ -1,4 +1,6 @@
 from paho.mqtt import client as mqtt_client
+import json
+import time
 from schema.aggregated_data_schema import AggregatedDataSchema
 from file_datasource import FileDatasource
 import config
@@ -22,14 +24,19 @@ def connect_mqtt(broker, port):
     return client
 
 
-def publish(client, topic, datasource):
+def publish(client, topic, datasource, delay):
     datasource.startReading()
     while True:
+        time.sleep(delay)
         data = datasource.read()
         msg = AggregatedDataSchema().dumps(data)
         result = client.publish(topic, msg)
+        # result: [0, 1]
         status = result[0]
-        if status != 0:
+        if status == 0:
+            pass
+            # print(f"Send `{msg}` to topic `{topic}`")
+        else:
             print(f"Failed to send message to topic {topic}")
 
 
@@ -37,9 +44,9 @@ 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")
+    datasource = FileDatasource("data/data.csv", "data/gps_data.csv")
     # Infinity publish data
-    publish(client, config.MQTT_TOPIC, datasource)
+    publish(client, config.MQTT_TOPIC, datasource, config.DELAY)
 
 
 if __name__ == "__main__":

store/.gitignore

@@ -1,3 +1,5 @@
 venv
 __pycache__
 .idea
+
+.idea/

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

@@ -1,8 +1,7 @@
-version: "3.9"
 name: "road_vision__database"
 services:
   postgres_db:
-    image: postgres:latest
+    image: postgres:17
     container_name: postgres_db
     restart: always
     environment:

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,
@@ -44,57 +31,6 @@ 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]] = {}
@@ -125,10 +61,36 @@ async def send_data_to_subscribers(user_id: int, 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 = [
+            {
+                "road_state": item.road_state,
+                "user_id": 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
+        ]
+        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(user_id, 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 +98,34 @@ 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(

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