[fix] clitools many tweaks and changes batch

clitools/filters/anaglyph.py

@@ -0,0 +1,201 @@
+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+# -*- mode: Python -*-
+
+
+'''
+
+anaglyph
+v0.1.0
+
+Attempts to create a valid 3D-glasses structure
+
+LICENCE : CC
+
+by cocoa 
+
+
+'''
+from __future__ import print_function
+import argparse
+import ast
+import math
+import os
+import random
+import sys
+import time 
+name = "filters::cycle"
+
+maxDist = 300
+
+argsparser = argparse.ArgumentParser(description="Redis exporter LJ")
+argsparser.add_argument("-x","--centerX",help="geometrical center X position",default=400,type=int)
+argsparser.add_argument("-y","--centerY",help="geometrical center Y position",default=400,type=int)
+argsparser.add_argument("-m","--min",help="Minimal displacement (default:2) ",default=1,type=int)
+argsparser.add_argument("-M","--max",help="Maximal displacement (default:20) ",default=5,type=int)
+argsparser.add_argument("-f","--fps",help="Frame Per Second",default=30,type=int)
+argsparser.add_argument("-v","--verbose",action="store_true",help="Verbose")
+
+args    = argsparser.parse_args()
+fps     = args.fps
+minVal  = args.min
+maxVal  = args.max
+centerX = args.centerX
+centerY = args.centerY
+verbose = args.verbose
+
+optimal_looptime = 1 / fps
+name    = "filters::anaglyph"
+
+def debug(*args, **kwargs):
+    if( verbose == False ):
+        return
+    print(*args, file=sys.stderr, **kwargs)
+
+def rgb2int(rgb):
+    #debug(name,"::rgb2int rbg:{}".format(rgb))
+    return int('0x%02x%02x%02x' % tuple(rgb),0)
+
+def isValidColor( color, intensityColThreshold  ):
+    if color[0] + color[1] + color[2] > intensityColThreshold:
+        return True
+    return False
+
+# These are paper colors
+red     = (41,24,24)
+white   = (95,95,95)
+blue    = (0,41,64)
+
+red     = (86,0,0)
+blue    = (0,55,86)
+white   = (125,125,125)
+def anaglyph( pl ):
+
+    debug(name,'--------------- new loop ------------------')
+    # We will send one list after the other to optimize color change
+    blueList        = list()
+    redList         = list()
+    whiteList       = list()
+    out = []
+    out1 = []
+    out2 = []
+    out3 = []
+
+    # The anaglyphic effect will be optained by :
+    # * having close objects appear as white
+    # * having distant objects appear as blue + red 
+    # * having in between objects appear as distanceDecreased(white) + blue + red 
+    for i, point in enumerate(pl):
+        ref_x       = point[0]-centerX
+        ref_y       = point[1]-centerY
+        ref_color   = point[2]
+        angle       = math.atan2( ref_x  , ref_y )
+        dist        = ref_y / math.cos(angle)
+        white_rvb   = (0,0,0)
+        blue_rvb    = (0,0,0)
+        red_rvb     = (0,0,0)
+
+        # Calculate the point's spread factor (0.0 to 1.0) 
+        # The spread is high if the point is close to center
+        """
+        dist = 0 :      spread = 1.0
+        dist = maxDist  spread = 0.0
+        """
+        if dist == 0:
+            spread      = 1.0
+        else : 
+            spread      =( maxDist - dist ) / maxDist
+        if spread < 0.0: 
+            spread      = 0.0
+
+        #debug(name,"dist:{} spread:{}".format(dist,spread))
+
+        # White color is high if spread is low, i.e. point away from center 
+        """ 
+        spread = 1.0 : white_c = 0.0
+        spread = 0.0 : whice_c = 1.0
+        """
+        if point[2] == 0:
+            white_color = 0
+        else:
+            white_factor    = 1.0 - math.pow(spread,0.5)
+            white_rvb       = tuple(map( lambda a: int(white_factor* a), white))
+            white_color     = rgb2int( white_rvb)
+            #debug(name,"spread:{}\t white_rvb:{}\t white_color:{}".format(spread, white_rvb, white_color))
+
+        # Blue and Red colors are high if spread is high, i.e. close to center
+        """
+        spread = 1.0 : red_c = 1.0
+        spread = 0.0 : red_c = 0.0
+        """
+        color_factor        = math.pow(spread,1)
+        if point[2] == 0:
+            blue_color      = 0 
+            red_color       = 0 
+        else:
+            blue_rvb        = tuple(map( lambda a: int(color_factor * a), blue))
+            blue_color      = rgb2int( blue_rvb)
+            red_rvb         = tuple(map( lambda a: int(color_factor * a), red))
+            red_color       = rgb2int( red_rvb)
+        
+        #debug(name,"color_factor:{}\t\t blue_color:{}\t\t red_color:{}".format(color_factor,blue_color,red_color))
+
+        # Blue-to-Red spatial spread is high when spread is high, i.e. point close to center
+        """
+        spread = 1.0 : spatial_spread = maxVal 
+        spread = 0.0 : spatial_spread = minVal
+        """
+        spatial_spread = minVal + spread * (maxVal - minVal)
+        #debug(name,"spatial_spread:{}".format(spatial_spread))
+        red_x       = int(point[0] + spatial_spread)
+        blue_x      = int(point[0] - spatial_spread ) 
+        red_y       = int(point[1] )
+        blue_y      = int(point[1])
+
+        white_point     = [point[0], point[1], white_color]
+        blue_point      = [blue_x,blue_y,blue_color]
+        red_point      = [red_x,red_y,red_color]
+
+        #debug(name,"white[x,y,c]:{}".format(white_point))
+        #debug(name,"blue[x,y,c]:{}".format(blue_point))
+        #debug(name,"red[x,y,c]:{}".format(red_point))
+        # Do not append "black lines" i.e. a color where each composent is below X
+#        if isValidColor(white_rvb, 150):
+#            out1.append(white_point)
+#        if isValidColor(blue_rvb, 50):
+#            out2.append(blue_point)
+#        if isValidColor(red_rvb, 30):
+#            out3.append(red_point)
+        out1.append(white_point)
+        out2.append(blue_point)
+        out3.append(red_point)
+        
+    #debug(name,"source pl:{}".format(pl))
+    debug(name,"whiteList:{}".format(out1))
+    debug(name,"blueList:{}".format(out2))
+    debug(name,"redList:{}".format(out3))
+    return out3 + out2
+    return out1 + out3 + out2
+    #return out1 + out2 + out3 
+
+
+  
+try:
+    while True:
+      start = time.time()
+      line = sys.stdin.readline()
+      if line == "":
+         time.sleep(0.01)
+      line = line.rstrip('\n')
+      pointsList = ast.literal_eval(line)
+      # Do the filter
+      result = anaglyph( pointsList ) 
+      print( result, flush=True )
+      looptime = time.time() - start
+      # debug(name+" looptime:"+str(looptime))
+      if( looptime < optimal_looptime ):
+        time.sleep( optimal_looptime - looptime)
+        # debug(name+" micro sleep:"+str( optimal_looptime - looptime))
+except EOFError:
+    debug(name+" break")# no more information
+

clitools/filters/kaleidoscope.py

@@ -53,7 +53,6 @@ def kaleidoscope( pl ):
     quad1 = []
     # Iterate trough the segments 
     for i in range( 0, len(pl) ):
-
             
         #debug(name+" point #", i)
         currentpoint = cp = pl[i]
@@ -74,8 +73,8 @@ def kaleidoscope( pl ):
         #debug(name+" rect: ", rect,"curr",currentpoint,"next",nextpoint )
 
         # Enumerate the points in rectangle to see 
-        # how many right / wrong there are to add or skip early
+        # how many right / wrong there are 
-        #
+        # either to add or skip early
         for iterator, p in enumerate(rect):
             if p[0] >= centerX and p[1] >= centerY:
                 right += 1
@@ -118,7 +117,7 @@ def kaleidoscope( pl ):
             #print("on x axis, v=",str(v)," and absnewY=",str(absnewY))
             crossY = [( absnewY*v[0] + cy ),( absnewY*v[1]+cy ), nc]
         # Inject in order
-        # If current is valid, Add 
+        # If current point is the quadrant, add it 
         if cx >= centerX and cy >= centerY :
             quad1.append( currentpoint )
         # If absnewX smaller, it is closest to currentPoint
@@ -128,6 +127,9 @@ def kaleidoscope( pl ):
         else : 
             if None != crossY : quad1.append( crossY ) 
             if None != crossX : quad1.append( crossX )
+        # Add a black point at the end
+        #lastQuad1Point = quad1[-1]
+        #quad1.append( [lastQuad1Point[0],lastQuad1Point[1],0] )
 
     ## Stage 2 : Mirror points
     #
@@ -144,10 +146,10 @@ def kaleidoscope( pl ):
         point = quad3[iterator]
         quad4.append([ 2*centerX - point[0], point[1], point[2] ])
 
-    debug(name+" quad1:",quad1)
+    #debug(name+" quad1:",quad1)
     #debug(name+" quad2:", quad2 )
-    debug(name+" quad3:", quad3 )
+    #debug(name+" quad3:", quad3 )
-    debug(name+" quad4:", quad4 )
+    #debug(name+" quad4:", quad4 )
     return quad3+quad4
   
 try:

clitools/filters/redilysis.py

@@ -34,16 +34,18 @@ def debug(*args, **kwargs):
     if( verbose == False ):
         return
     print(*args, file=sys.stderr, **kwargs)
-def now():
+def msNow():
-    return time.time() * 1000
+    return time.time()
 
-# The list of available modes and the redis keys they need
+# The list of available modes => redis keys each requires to run
 oModeList = {
         "rms_noise": ["rms"],
         "rms_size": ["rms"],
-        "bpm_size": ["bpm"]
+        "bpm_size": ["bpm"],
+        "bpm_detect_size": ["bpm","bpm_delay","bpm_sample_interval","beats"]
         }
 CHAOS       = 1
+REDISLATENCY     = 30
 REDIS_FREQ  = 300
 
 # General Args
@@ -58,17 +60,19 @@ argsparser.add_argument("-x","--centerX",help="geometrical center X position",de
 argsparser.add_argument("-y","--centerY",help="geometrical center Y position",default=400,type=int)
 argsparser.add_argument("-f","--fps",help="Frame Per Second",default=30,type=int)
 # Modes And Common Modes Parameters
+argsparser.add_argument("-l","--redisLatency",help="Latency in ms to substract. Default:{}".format(REDISLATENCY),default=REDISLATENCY,type=float)
 argsparser.add_argument("-m","--modelist",required=True,help="Comma separated list of modes to use from: {}".format("i, ".join(oModeList.keys())),type=str)
 argsparser.add_argument("--chaos",help="How much disorder to bring. High value = More chaos. Default {}".format(CHAOS), default=CHAOS, type=str)
 
 args        = argsparser.parse_args()
 ip          = args.ip
 port        = args.port
-redisFreq   = args.redis_freq
+redisFreq   = args.redis_freq / 1000
 verbose     = args.verbose
 fps         = args.fps
 centerX     = args.centerX
 centerY     = args.centerY
+redisLatency     = args.redisLatency
 chaos       = float(args.chaos)
 optimal_looptime = 1 / fps
 
@@ -82,33 +86,127 @@ for mode in modeList:
 redisKeys   = list(set(redisKeys))
 debug(name,"Redis Keys:{}".format(redisKeys))
 redisData = {}
-redisLastHit = now() - redisFreq
+redisLastHit = msNow() - 99999
 r = redis.Redis(
         host=ip,
         port=port)
 
 # Records the last bpm 
-last_bpm = time.time()
+tsLastBeat = time.time()
 
 def gauss(x, mu, sigma):
     return( math.exp(-math.pow((x-mu),2)/(2*math.pow(sigma,2))/math.sqrt(2*math.pi*math.pow(sigma,2))))
 
+previousPTTL = 0 
+tsNextBeatsList = []
+def bpmDetect( ):
+    """
+    An helper to compute the next beat time in milliseconds
+    Returns True if the cache was updated
+    """
+    global tsNextBeatsList
+    global previousPTTL 
+    global redisLastHit
+    global redisLatency
+    
+    # Get the redis PTTL value for bpm
+    PTTL = redisData["bpm_pttl"]
 
-def bpm_size( pl ):
+    # Skip early if PTTL < 0
-    global last_bpm
+    if PTTL < 0 :
+        debug(name,"bpmDetect skip detection : PTTL expired for 'bpm' key")
+        return False
+
+    # Skip early if the record hasn't been rewritten 
+    if PTTL <= previousPTTL :
+        previousPTTL = PTTL
+        #debug(name,"bpmDetect skip detection : {} <= {}".format(PTTL, previousPTTL))
+        return False
+    debug(name,"bpmDetect running detection : {} > {}".format(PTTL, previousPTTL))
+    previousPTTL = PTTL
+
+    # Skip early if beat list is empty
+    beatsList = ast.literal_eval(redisData["beats"])
+    tsNextBeatsList = []
+    if( len(beatsList) == 0 ):
+        return True
+
+    # Read from redis
     bpm = float(redisData["bpm"])
-    # Milliseconds ber beat
+    msBpmDelay = float(redisData["bpm_delay"])
-    milliSecondsPerBeat = int(60 / bpm * 1000)
+    samplingInterval = float(redisData["bpm_sample_interval"])
+
+    # Calculate some interpolations
+    lastBeatTiming = float(beatsList[len(beatsList) - 1])
+    msPTTLDelta  = 2 * samplingInterval - float(PTTL)
+    sPerBeat = 60 / bpm
+    lastBeatDelay = msBpmDelay - lastBeatTiming*1000 + msPTTLDelta
+    countBeatsPast = math.floor( (lastBeatDelay / 1000) / sPerBeat)
+    #debug(name,"bpmDetect lastBeatTiming:{}\tmsPTTLDelta:{}\tsPerBeat:{}".format(lastBeatTiming,msPTTLDelta,sPerBeat))
+    #debug(name,"lastBeatDelay:{}\t countBeatsPast:{}".format(lastBeatDelay, countBeatsPast))
+    for i in range( countBeatsPast, 1000):
+        beatTime = i * sPerBeat - lastBeatTiming 
+        if beatTime < 0:
+            continue
+        if beatTime * 1000 > 2 * samplingInterval :
+            break
+        #debug(name, "bpmDetect beat add beatTime:{} redisLastHit:{}".format(beatTime, redisLastHit))
+        tsNextBeatsList.append( redisLastHit + beatTime - redisLatency/1000)
+    debug(name, "bpmDetect new tsNextBeatsList:{}".format(tsNextBeatsList))
+
+    return True
+
+def bpm_detect_size( pl ):
+    bpmDetect()
+   
+    # Find the next beat in the list
+    tsNextBeat      = 0
+
+    now = time.time()
+    msNearestBeat = None
+    msRelativeNextBTList = list(map( lambda a: abs(now - a) * 1000, tsNextBeatsList)) 
+    msToBeat = min( msRelativeNextBTList) 
+
+    #debug(name,"bpm_detect_size msRelativeNextBTList:{} msToBeat:{}".format(msRelativeNextBTList,msToBeat))
     # Calculate the intensity based on bpm coming/leaving
     # The curb is a gaussian
-    mu = math.sqrt(milliSecondsPerBeat)
+    mu = 15 
-    milliTimeToLastBeat = (time.time() - last_bpm) * 1000
+    intensity = gauss( msToBeat, 0 , mu)
-    milliTimeToNextBeat = (milliSecondsPerBeat - milliTimeToLastBeat)
+    #debug(name,"bpm_size","mu:{}\t msToBeat:{}\tintensity:{}".format(mu, msToBeat, intensity))
-    intensity = gauss( milliTimeToNextBeat, 0 , mu)
+    if msToBeat < 20:
-    debug(name,"bpm_size","milliSecondsPerBeat:{}\tmu:{}".format(milliSecondsPerBeat, mu))
+        debug(name,"bpm_detect_size kick:{}".format(msToBeat))
-    debug(name,"bpm_size","milliTimeToLastBeat:{}\tmilliTimeToNextBeat:{}\tintensity:{}".format(milliTimeToLastBeat, milliTimeToNextBeat, intensity))
+        pass
-    if milliTimeToNextBeat <= 0 :
+    for i, point in enumerate(pl):
-        last_bpm = time.time()
+        ref_x = point[0]-centerX
+        ref_y = point[1]-centerY
+        #debug(name,"In new ref x:{} y:{}".format(point[0]-centerX,point[1]-centerY))
+        angle=math.atan2( point[0] - centerX  , point[1] - centerY )
+        l = ref_y / math.cos(angle)
+        new_l = l * intensity 
+        #debug(name,"bpm_size","angle:{} l:{} new_l:{}".format(angle,l,new_l))
+        new_x = math.sin(angle) * new_l + centerX
+        new_y = math.cos(angle) * new_l + centerY
+        #debug(name,"x,y:({},{}) x',y':({},{})".format(point[0],point[1],new_x,new_y))
+        pl[i][0] = new_x 
+        pl[i][1] = new_y
+    #debug( name,"bpm_detect_size output:{}".format(pl))
+    return( pl );
+
+def bpm_size( pl ):
+    global tsLastBeat
+    bpm = float(redisData["bpm"])
+    # msseconds ber beat
+    msPerBeat = int(60 / bpm * 1000)
+    # Calculate the intensity based on bpm coming/leaving
+    # The curb is a gaussian
+    mu = math.sqrt(msPerBeat)
+    msTimeToLastBeat = (time.time() - tsLastBeat) * 1000
+    msTimeToNextBeat = (msPerBeat - msTimeToLastBeat)
+    intensity = gauss( msTimeToNextBeat, 0 , mu)
+    debug(name,"bpm_size","msPerBeat:{}\tmu:{}".format(msPerBeat, mu))
+    debug(name,"bpm_size","msTimeToLastBeat:{}\tmsTimeToNextBeat:{}\tintensity:{}".format(msTimeToLastBeat, msTimeToNextBeat, intensity))
+    if msTimeToNextBeat <= 0 :
+        tsLastBeat = time.time()
     for i, point in enumerate(pl):
         ref_x = point[0]-centerX
         ref_y = point[1]-centerY
@@ -158,21 +256,30 @@ def rms_noise( pl ):
     return pl
   
 
-def updateRedis():
+def refreshRedis():
     global redisLastHit
     global redisData
-    for key in redisKeys:
+    # Skip if cache is sufficent
-        redisData[key] = r.get(key).decode('ascii')
+    diff = msNow() - redisLastHit
-        debug("name","updateRedis key:{} value:{}".format(key,redisData[key]))
+    if diff < redisFreq : 
-        if key == 'bpm':
+        #debug(name, "refreshRedis not updating redis, {} < {}".format(diff, redisFreq))
-            redisData['bpm_ttl'] = r.pttl(key)
+        pass 
-    debug(name,"redisData:{}".format(redisData))
+    else:
+        #debug(name, "refreshRedis updating redis, {} > {}".format(diff, redisFreq))
+        redisLastHit = msNow() 
+        for key in redisKeys:
+            redisData[key] = r.get(key).decode('ascii')
+            #debug(name,"refreshRedis key:{} value:{}".format(key,redisData[key]))
+    # Only update the TTLs 
+    if 'bpm' in redisKeys:
+        redisData['bpm_pttl'] = r.pttl('bpm')
+        #debug(name,"refreshRedis key:bpm_ttl value:{}".format(redisData["bpm_pttl"]))
+    #debug(name,"redisData:{}".format(redisData))
+    return True
 
 try:
     while True:
-      # it is time to query redis
+      refreshRedis()
-      if now() - redisLastHit > redisFreq:
-          updateRedis()
       start = time.time()
       line = sys.stdin.readline()
       if line == "":

clitools/generators/tunnel.py

@@ -34,7 +34,7 @@ argsparser = argparse.ArgumentParser(description="tunnel generator")
 argsparser.add_argument("-c","--color",help="Color",default=65280,type=int)
 argsparser.add_argument("-f","--fps",help="Frame Per Second",default=30,type=int)
 argsparser.add_argument("-i","--interval",help="point per shape interval",default=30,type=int)
-argsparser.add_argument("-m","--max-size",help="maximum size for objects",default=500,type=int)
+argsparser.add_argument("-m","--max-size",help="maximum size for objects",default=400,type=int)
 argsparser.add_argument("-r","--randomize",help="center randomization",default=5,type=int)
 argsparser.add_argument("-s","--speed",help="point per frame progress",default=3,type=int)
 argsparser.add_argument("-v","--verbose",action="store_true",help="Verbose output")
@@ -77,14 +77,19 @@ class polylineGenerator( object ):
         self.polylineList   = [[0,[currentCenter[0],currentCenter[1]]]]
         self.buf            = []
 
+    def init(self):
+        finished            = False
+        while not finished:
+            finished = self.increment()
+        debug(name,"init done:{}".format(self.polylineList))
     def draw( self ):
         self.buf            = []
         for it_pl, infoList in enumerate(self.polylineList):
             size = infoList[0]
             center = infoList[1]
             for it_sqr, point in enumerate(shape):
-                x       = center[0] + point[0]*size
+                x       = int( center[0] + point[0]*size )
-                y       = center[1] + point[1]*size 
+                y       = int( center[1] + point[1]*size )
                 # Add an invisible point in first location
                 if 0 == it_sqr:
                     self.buf.append([x,y,0])
@@ -114,22 +119,43 @@ class polylineGenerator( object ):
                 speed = origSpeed
             elif speed > (origSpeed + randomize / 2) :
                 speed = origSpeed + randomize / 2 
-            debug(name, "currentCenter:{} speed:{}".format(currentCenter,speed))
+            #debug(name, "currentCenter:{} speed:{}".format(currentCenter,speed))
 
         for i, shapeInfo in enumerate(self.polylineList):
             size = shapeInfo[0]
-            size += speed
+            # Augment speed with size 
+            """
+            size = 0 : += sqrt(speed)
+            size = half max size : +=speed
+   
+            """
+            if size < max_size / 4:
+                size += math.pow(speed, 0.1)
+            elif size < max_size / 3:
+                size += math.pow(speed, 0.25)
+            elif size < max_size / 2:
+                size += math.pow(speed, 0.5)
+            else:
+                size += math.pow(speed, 1.25)
             if size < min_size : min_size = size
             if size > max_size : delList.append(i)
             self.polylineList[i][0] = size
         for i in delList:
             del self.polylineList[i]
-        if min_size >= interval: self.polylineList.append([0,[currentCenter[0],currentCenter[1]]])
         #debug(name, "polyline:",self.polylineList)
+        if min_size >= interval: 
+            debug(name, "new shape")
+            self.polylineList.append([0,[currentCenter[0],currentCenter[1]]])
+
+        # Return True if we delete a shape
+
+        if len(delList):
+            return True
+        return False
 
 
 pgen = polylineGenerator()
-
+pgen.init()
 
 while True:
   start = time.time()
@@ -140,7 +166,7 @@ while True:
   # send
   pl = pgen.draw()
   print(pl, flush=True)
-  debug(name,"output:{}".format(pl))
+  #debug(name,"output:{}".format(pl))
 
   looptime = time.time() - start
   if( looptime < optimal_looptime ):