From bbe4569444a06dcb691b967f25e6ff9253623bb5 Mon Sep 17 00:00:00 2001
From: Pacien TRAN-GIRARD
Date: Sat, 30 May 2015 20:53:57 +0200
Subject: Import the third version of the python spectrum visualizer

---
 visualizer/visualizer.py | 79 ++++++++++++++++++++++++------------------------
 1 file changed, 39 insertions(+), 40 deletions(-)

diff --git a/visualizer/visualizer.py b/visualizer/visualizer.py
index 872dd9d..cc856eb 100755
--- a/visualizer/visualizer.py
+++ b/visualizer/visualizer.py
@@ -1,60 +1,59 @@
 #!/usr/bin/python3
 
 import serial
-import matplotlib
-import matplotlib.pyplot as plt
-import matplotlib.animation as animation
-from collections import OrderedDict
+import json
+from sys import stdout
+
 
-nb_bins = 128
 baud_rate = 115200
 port = "/dev/ttyACM0"
 
-bin_separator = ' '
-val_separator = ':'
-
 
-def recv(link, nb_val):
-	valid = False
-	while not valid:
+def recv(link):
+	while True:
 		line = link.readline().rstrip()
-		
+
 		try:
 			line = line.decode("utf-8")
-		except TypeError:
-			valid = False
+		except UnicodeDecodeError:
+			continue
+
+		try:
+			data = json.loads(line)
+		except ValueError:
 			continue
 
-		raw_bins = line.split(bin_separator)
-		valid = len(raw_bins) == nb_bins
-				
-		if not valid:
+		try:
+			spectrum = data["spectrum"]
+			fundamental_bin = data["fundamental_bin"]
+			fundamental_freq = data["fundamental_freq"]
+			midi_note = data["midi_note"]
+		except ValueError:
 			continue
-		
-		bins = OrderedDict()
-		for b in raw_bins:
-			values = b.split(val_separator)
-			valid = len(values) == 2
-			if not valid:
-				continue
-				
-			bins[int(values[0])] = int(values[1])
-		
-	return bins
+
+		return spectrum, fundamental_bin, fundamental_freq, midi_note
+
+
+def show_spectrum(data):
+	for line in range(50, 0, -1):
+		for ampl in data:
+
+			if ampl >= line:
+				stdout.write('█')
+			else:
+				stdout.write(' ')
+			
+		stdout.write("\n")
 	
+	stdout.write("\n")
+	stdout.flush()
+
 
 if __name__ == '__main__':
 	
 	link = serial.Serial(port, baud_rate)
 	
-	while 1:
-		data = recv(link, nb_bins)
-		x, y = list(data.keys()), list(data.values())
-		
-		plt.cla()
-		plt.hist(y, bins=x)
-		plt.draw()
-		plt.show(block=False)
-
-
-
+	while True:
+		spectrum, fundamental_bin, fundamental_freq, midi_note = recv(link)
+		show_spectrum(spectrum)
+		print("fundamental: bin %d -> %f Hz -> note %d" % (fundamental_bin, fundamental_freq, midi_note))
-- 
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