init

filter_dev/ble.py

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+import matplotlib.pyplot as plt
+from time import time
+import asyncio
+from bleak import BleakClient, BleakScanner
+import pandas as pd
+from argparse import ArgumentParser
+from tqdm.auto import tqdm
+
+async def read_ble(reading_time=READING_TIME):
+    device = await BleakScanner.find_device_by_name("Smaage")
+    timestamps = []
+    raw_weights = []
+    
+    async with BleakClient(device.address) as client:
+        print(f"Connected to {device}")
+
+        # Read the characteristic value
+        pbar = tqdm(desc="reading data", total=reading_time)
+        time_start = time()
+        time_passed = 0
+        last_time_passed = 0
+        while time_passed < reading_time:
+            try:
+                # Read the sensor data
+                millis = await client.read_gatt_char(MILLIS_UUID)
+                millis = int.from_bytes(millis, byteorder='little')  # Adjust based on your data format
+                weight = await client.read_gatt_char(WEIGHT_UUID)
+                weight = int.from_bytes(weight, byteorder='little')  # Adjust based on your data format
+
+                timestamps.append(millis)
+                raw_weights.append(weight)
+
+            except Exception as e:
+                print(f"Error reading data: {e}")
+                break
+        
+            time_passed = time() - time_start
+            time_delta = (time_passed - last_time_passed)  
+            last_time_passed = time_passed
+            pbar.update(time_delta)
+        
+        pbar.close()
+        
+        df = pd.DataFrame({"timestamps": timestamps, "weights": raw_weights})
+        print(df['weights'].describe())
+        plt.plot(timestamps, raw_weights)
+        plt.show()