wip

process

@@ -43,15 +43,18 @@ def process_recording(filename):
     print(f'median amplitude: {median_amplitude:.5f}rDB')
 
     # initialize to a very old date
-    last_detection_at = datetime.datetime.min.replace(tzinfo=recording_date.tzinfo)
-    is_detecting = False
+
+    current_event = None
 
     # read blocks of audio data with overlap from sound variable
-    for block_num in range(0, len(sound) // (samples_per_block - overlapping_samples)):
+    block_num = 0
+    while block_num < (len(sound) // (samples_per_block - overlapping_samples)):
+        # get block of audio data
         start_sample = block_num * (samples_per_block - overlapping_samples)
         end_sample = start_sample + samples_per_block
         block = sound[start_sample:end_sample]
 
+        # get block date and calculate FFT
         block_date = recording_date + datetime.timedelta(seconds=block_num * BLOCK_SECONDS)
         labels = rfftfreq(len(block), d=1/samplerate)
         complex_amplitudes = rfft(block)
@@ -74,24 +77,49 @@ def process_recording(filename):
         max_freq_detected = DETECT_FREQUENCY_FROM <= max_freq <= DETECT_FREQUENCY_TO
         amplitude_detected = max_amplitude > AMPLITUDE_THRESHOLD
         low_noise_detected = noise < 0.1
-        no_recent_detection = is_detecting or (block_date - last_detection_at).total_seconds() > DETECTION_DISTANCE
 
         # conclude detection
         if (
             max_freq_detected and
             amplitude_detected and
-            low_noise_detected and
-            no_recent_detection
+            low_noise_detected
         ):
-            if not is_detecting:
-                is_detecting = True
-                last_detection_at = block_date
-                print("🔊")
-
-            print(f'{block_date}: {max_amplitude:.1f}rDB @ {max_freq:.1f}Hz (noise {noise:.3f}rDB)')
+            # detecting an event
+            if not current_event:
+                current_event = {
+                    'start_at': block_date,
+                    'end_at': block_date,
+                    'start_freq': max_freq,
+                    'end_freq': max_freq,
+                    'max_amplitude': max_amplitude,
+                }
             else:
-            if is_detecting:
-                is_detecting = False
+                current_event.update({
+                    'end_at': block_date,
+                    'end_freq': max_freq,
+                    'max_amplitude': max(max_amplitude, current_event['max_amplitude']),
+                })
+            #print(f'{block_date}: {max_amplitude:.1f}rDB @ {max_freq:.1f}Hz (noise {noise:.3f}rDB)')
+        else:
+            # not detecting an event
+            if current_event:
+                # conclude current event
+                print(f'🔊 {current_event["start_at"]}: {current_event["start_freq"]:.1f}Hz -> {current_event["end_freq"]:.1f}Hz @{current_event["max_amplitude"]:.0f}rDB')
+                current_event = None
+                write_clip()
+                write_plot()
+
+                block_num += DETECTION_DISTANCE // BLOCK_SECONDS
+
+        block_num += 1
+
+
+def write_clip():
+    pass
+
+
+def write_plot():
+    pass
 
 
 def main():