agent/src/file_datasource.py

@@ -1,5 +1,11 @@
-from csv import reader
+from __future__ import annotations
+
+import csv
+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
@@ -7,24 +13,213 @@ import config
 
 
 class FileDatasource:
-    def __init__(
-        self,
-        accelerometer_filename: str,
-        gps_filename: str,
-    ) -> None:
-        pass
 
-    def read(self) -> AggregatedData:
-        """Метод повертає дані отримані з датчиків"""
-        return AggregatedData(
-            Accelerometer(1, 2, 3),
-            Gps(4, 5),
-            datetime.now(),
-            config.USER_ID,
-        )
+    def __init__(self, accelerometer_filename: str, gps_filename: str) -> None:
+        self.accelerometer_filename = accelerometer_filename
+        self.gps_filename = gps_filename
+
+        self._acc_f = None
+        self._gps_f = None
+        self._acc_reader: Optional[csv.reader] = None
+        self._gps_reader: Optional[csv.reader] = None
+
+        self._started = False
+
+        # one-row buffers (supports CSVs with or without header)
+        self._acc_buf: Optional[List[str]] = None
+        self._gps_buf: Optional[List[str]] = None
+
+        self._acc_has_header: Optional[bool] = None
+        self._gps_has_header: Optional[bool] = None
 
     def startReading(self, *args, **kwargs):
-        """Метод повинен викликатись перед початком читання даних"""
+        """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):
-        """Метод повинен викликатись для закінчення читання даних"""
+        """Must be called when finishing reading"""
+        self._close_files()
+        self._started = False
+
+    def read(self) -> AggregatedData:
+        """Return one combined sample (acc + gps)."""
+        if not self._started:
+            raise RuntimeError("Datasource is not started. Call startReading() before read().")
+
+        acc_row = self._next_acc_row()
+        gps_row = self._next_gps_row()
+
+        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,
+            gps=gps,
+            time=datetime.utcnow(),
+            user_id=config.USER_ID,
+        )
+
+    # ---------------- internal ----------------
+
+    def _open_files(self) -> None:
+        self._close_files()
+
+        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)
+        self._gps_reader = csv.reader(self._gps_f)
+
+        self._acc_buf = None
+        self._gps_buf = None
+
+        self._acc_has_header, self._acc_buf = self._detect_header_and_buffer(
+            self._acc_reader, expected_cols=3, header_tokens=("x", "y", "z")
+        )
+        self._gps_has_header, self._gps_buf = self._detect_header_and_buffer(
+            self._gps_reader, expected_cols=2, header_tokens=("longitude", "latitude")
+        )
+
+    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
+        self._acc_buf = None
+        self._gps_buf = None
+        self._acc_has_header = None
+        self._gps_has_header = 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)
+        self._acc_has_header, self._acc_buf = self._detect_header_and_buffer(
+            self._acc_reader, expected_cols=3, header_tokens=("x", "y", "z")
+        )
+
+    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)
+        self._gps_has_header, self._gps_buf = self._detect_header_and_buffer(
+            self._gps_reader, expected_cols=2, header_tokens=("longitude", "latitude")
+        )
+
+    def _next_acc_row(self) -> List[str]:
+        if self._acc_reader is None:
+            raise RuntimeError("Accelerometer reader is not initialized.")
+
+        while True:
+            if self._acc_buf is not None:
+                row = self._acc_buf
+                self._acc_buf = None
+            else:
+                row = next(self._acc_reader, None)
+
+            if row is None:
+                # EOF -> rewind & continue
+                self._rewind_acc()
+                continue
+
+            row = [c.strip() for c in row]
+            if not row or not any(row):
+                continue
+
+            return row
+
+    def _next_gps_row(self) -> List[str]:
+        if self._gps_reader is None:
+            raise RuntimeError("GPS reader is not initialized.")
+
+        while True:
+            if self._gps_buf is not None:
+                row = self._gps_buf
+                self._gps_buf = None
+            else:
+                row = next(self._gps_reader, None)
+
+            if row is None:
+                # EOF -> rewind & continue
+                self._rewind_gps()
+                continue
+
+            row = [c.strip() for c in row]
+            if not row or not any(row):
+                continue
+
+            return row
+
+    @staticmethod
+    def _detect_header_and_buffer(
+        rdr: csv.reader, expected_cols: int, header_tokens: tuple[str, ...]
+    ) -> tuple[bool, Optional[List[str]]]:
+
+        first = None
+        while True:
+            first = next(rdr, None)
+            if first is None:
+                return False, None
+            first = [c.strip() for c in first]
+            if first and any(first):
+                break
+
+        norm = [c.lower() for c in first]
+
+        # Header if it contains the expected tokens
+        if all(tok in norm for tok in header_tokens):
+            return True, None
+
+        # If first row is numeric-like and has enough columns => it's data (buffer it back)
+        if len(norm) >= expected_cols and all(FileDatasource._is_number(x) for x in norm[:expected_cols]):
+            return False, first
+
+        # Otherwise treat it as header-ish (skip it)
+        return True, None
+
+    @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}")
+        x = int(float(row[0]))
+        y = int(float(row[1]))
+        z = int(float(row[2]))
+        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)
+
+    @staticmethod
+    def _is_number(s: str) -> bool:
+        try:
+            float(s)
+            return True
+        except Exception:
+            return False

agent/src/main.py

@@ -1,6 +1,4 @@
 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
@@ -24,19 +22,14 @@ def connect_mqtt(broker, port):
     return client
 
 
-def publish(client, topic, datasource, delay):
+def publish(client, topic, datasource):
     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:
-            pass
-            # print(f"Send `{msg}` to topic `{topic}`")
-        else:
+        if status != 0:
             print(f"Failed to send message to topic {topic}")
 
 
@@ -44,9 +37,9 @@ def run():
     # Prepare mqtt client
     client = connect_mqtt(config.MQTT_BROKER_HOST, config.MQTT_BROKER_PORT)
     # Prepare datasource
-    datasource = FileDatasource("data/data.csv", "data/gps_data.csv")
+    datasource = FileDatasource("data/accelerometer.csv", "data/gps.csv")
     # Infinity publish data
-    publish(client, config.MQTT_TOPIC, datasource, config.DELAY)
+    publish(client, config.MQTT_TOPIC, datasource)
 
 
 if __name__ == "__main__":