simpler

speak_broadcast.py

@@ -1,19 +1,44 @@
-import argparse, json, sys, time, random
+import argparse, json, sys, time, random, logging, signal
 import utterance.voice
 import utterance.utils
 import utterance.osc
 import examine.metric
 
 UTTERANCE_LEN = 16
+NUM_METRIC_GEN = 50
+NUM_SAMPLE_VOICES = 3
 broadcast = None
+metric = None
+exit = False
 
-def format_str(text: str) -> str:
+def format_str(text) -> str:
 	t = utterance.utils.clean(text)
 	return utterance.utils.format(t)
 
+def utter_one(v) -> str:
+	u = v.utter_one()	
+	return format_str(u)
+
+def utter_one_vectorise(v):
+	global metric
+	uv = utter_one(v)
+	uv_vec = metric.vector(uv)
+	return uv, uv_vec
+
+def utter_n_vectorise_distance(v, n, vec):	
+	global metric
+	results = []
+	texts = v.utter_n(n=n)
+	for t in texts:
+		t = format_str(t)
+		t_vec = metric.vector(t)
+		d = examine.metric.cos_dist(vec, t_vec)
+		results.append([d, t, v])
+	return results
+
 def broadcast_utterance(v, utterance):	
 
-	global broadcast
+	global broadcast, exit
 
 	text = v.name.upper() + ":\n"
 
@@ -26,23 +51,41 @@ def broadcast_utterance(v, utterance):
 		text += f
 		broadcast.utterance(text, v.channel)
 		time.sleep(2)
+		if exit:
+			return
 
 	broadcast.command('clear')
 	time.sleep(2)
 
 
+def signal_terminate(signum, frame):
+	global exit
+	logging.warning("::SIGNAL TERMINATE::")
+	exit = True
+
 def main() -> int:
 
-	global broadcast
+	global broadcast, metric
 
 	p = argparse.ArgumentParser()
 	p.add_argument("-c", "--config", type=str, default="voice.config.json", help="configuratin file")
 	p.add_argument("-i", "--iterations", type=int, default=10, help="number of iterations")
 	args = p.parse_args()
 
+	logging.basicConfig(level=logging.INFO)
+
+	logging.info(f"INIT::loading config file - {args.config}")
+
 	with open(args.config) as f:
 		conf = json.load(f)
 
+	logging.info(conf)
+
+	#--------------------#
+	# 		VOICES
+	#--------------------#
+	logging.info(f"INIT::creating voices")
+
 	voices = []
 	for v in conf['voices']:
 		model = v['model']
@@ -50,64 +93,63 @@ def main() -> int:
 		voice.set_channel(v['osc_channel']['root'], v['osc_channel']['utterance'])
 		voices.append(voice)
 
+
+	#--------------------#
+	# 		NET
+	#--------------------#
+	logging.info(f"INIT::setting up OSC")
 	broadcast = utterance.osc.OscBroadcaster(name="osc_broadcast", host=conf['host'], port=conf['port'], command_channel=conf['command_osc_channel'])
 	broadcast.start_osc()	
 
-	nbr_voices = len(voices)
+	#--------------------#
-
+	# 		METRIC
-	state = 'c'
+	#--------------------#
-
+	logging.info(f"INIT::loading doc2vec metrics")
 	metric = examine.metric.Metric(model_input='data/models/doc2vec.model')
 
-	s = set(range(0, nbr_voices - 1))
+	#--------------------#
-
+	# 		  A
-	rindex = random.sample(s, 1)[0]
+	#--------------------#
-
+	logging.info(f"INIT::generating first utterance")
-	v = voices[rindex]
+	random.seed(time.time())
-	uv = v.utter_one()
+	v = random.choice(voices)
-	uv = format_str(uv)
+	uv, uv_vec = utter_one_vectorise(v)
-
-	v_vec = metric.vector(uv)
-	
-
-	while state == 'c':
-		
-		candidates = random.sample(s, 3)
-
-		results = []
-		for c in candidates:
-			if c == rindex:
-				continue
-			vc = voices[c]
-			vc_texts = vc.utter_n(n=50)
-			for t in vc_texts:
-				t = format_str(t)
-				t_vec = metric.vector(t)
-				d = examine.metric.cos_dist(v_vec, t_vec)
-				results.append([d, t, c])
-
-
-		results.sort(key=lambda t: t[0], reverse=True)
 	
+	while not exit:
 
+		logging.info(f"LOOP::broadcasting {v.name}")
 		broadcast_utterance(v, uv)
 		
+		logging.info(f"LOOP::finding candidates")
+		start = time.time()
+		candidates = random.sample(voices, NUM_SAMPLE_VOICES)
+		results = []
+		for c in candidates:
+			if exit:
+				break
+			if c == v:
+				continue
+			results += utter_n_vectorise_distance(c, NUM_METRIC_GEN, uv_vec)
 
-		# new round
+		results.sort(key=lambda t: t[0], reverse=True)
-
+		lapse = time.time() - start
-		top = results[0]
+		logging.info(f"LOOP::done - {lapse} secs")
-		rindex = top[2]
-		v = voices[rindex]
-		uv = top[1]
-		v_vec = metric.vector(top[1])
-
-
-		# state = input("Continue? ")
 
+		# ok here we need to randomise maybe...?!
+		# ([d, t, v])
+		choice = results[0]
+		v = choice[2]
+		uv = choice[1]
+		uv_vec = metric.vector(uv)
+		logging.info(f"LOOP::next {v.name}")
 
 
+	logging.info(f"TERMINATE::terminating OSC")
 	broadcast.terminate_osc()
 
+	logging.info(f"FIN")
+
 
 if __name__ == '__main__':
-    sys.exit(main())
+	signal.signal(signal.SIGINT, signal_terminate)
+	sys.exit(main())