better CSV file filtering

src/graph_creators/graph_belts.py

@@ -457,8 +457,8 @@ def belts_calibration(lognames, klipperdir='~/klipper', max_freq=200.0, st_versi
     global shaper_calibrate
     shaper_calibrate = setup_klipper_import(klipperdir)
 
-    # Parse data
+    # Parse data from the log files while ignoring CSV in the wrong format
-    datas = [parse_log(fn) for fn in lognames]
+    datas = [data for data in (parse_log(fn) for fn in lognames) if data is not None]
     if len(datas) > 2:
         raise ValueError('Incorrect number of .csv files used (this function needs exactly two files to compare them)!')
 

src/graph_creators/graph_shaper.py

@@ -299,8 +299,8 @@ def shaper_calibration(lognames, klipperdir='~/klipper', max_smoothing=None, scv
     global shaper_calibrate
     shaper_calibrate = setup_klipper_import(klipperdir)
 
-    # Parse data
+    # Parse data from the log files while ignoring CSV in the wrong format
-    datas = [parse_log(fn) for fn in lognames]
+    datas = [data for data in (parse_log(fn) for fn in lognames) if data is not None]
     if len(datas) > 1:
         print_with_c_locale('Warning: incorrect number of .csv files detected. Only the first one will be used!')
 

src/graph_creators/graph_vibrations.py

@@ -651,6 +651,8 @@ def vibrations_profile(
 
     for logname in lognames:
         data = parse_log(logname)
+        if data is None:
+            continue  # File is not in the expected format, skip it
         angle, speed = extract_angle_and_speed(logname)
         freq_response = calc_freq_response(data)
         first_freqs = freq_response.freq_bins

src/helpers/common_func.py

@@ -15,19 +15,47 @@ from scipy.signal import spectrogram
 
 
 def parse_log(logname):
+    try:
         with open(logname) as f:
-        for header in f:
+            header = None
-            if not header.startswith('#'):
+            for line in f:
-                break
+                cleaned_line = line.strip()
-        if not header.startswith('freq,psd_x,psd_y,psd_z,psd_xyz'):
+
-            # Raw accelerometer data
+                # Check for a PSD file generated by Klipper and raise a warning
-            return np.loadtxt(logname, comments='#', delimiter=',')
+                if cleaned_line.startswith('#freq,psd_x,psd_y,psd_z,psd_xyz'):
-    # Power spectral density data or shaper calibration data
+                    print(
-    raise ValueError(
+                        'Warning: %s does not contain raw accelerometer data. '
-        'File %s does not contain raw accelerometer data and therefore '
+                        'Please use the official Klipper script to process it instead. '
-        'is not supported by Shake&Tune. Please use the official Klipper '
+                        'It will be ignored by Shake&Tune!' % (logname,)
-        'script to process it instead.' % (logname,)
                     )
+                    return None
+
+                # Check for the expected header for Shake&Tune (raw accelerometer data from Klipper)
+                elif cleaned_line.startswith('#time,accel_x,accel_y,accel_z'):
+                    header = cleaned_line
+                    break
+
+            if not header:
+                print(
+                    'Warning: file %s has an incorrect header and will be ignored by Shake&Tune!\n'
+                    "Expected '#time,accel_x,accel_y,accel_z', but got '%s'." % (logname, header.strip())
+                )
+                return None
+
+            # If we have the correct raw data header, proceed to load the data
+            data = np.loadtxt(logname, comments='#', delimiter=',', skiprows=1)
+            if data.ndim == 1 or data.shape[1] != 4:
+                print(
+                    'Warning: %s does not have the correct data format; expected 4 columns. '
+                    'It will be ignored by Shake&Tune!' % (logname,)
+                )
+                return None
+
+            return data
+
+    except Exception as err:
+        print(f'Error while reading {logname}: {err}. It will be ignored by Shake&Tune!')
+        return None
 
 
 def setup_klipper_import(kdir):