fix min max and add end time from csv
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1 changed files with 53 additions and 31 deletions
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@ -17,12 +17,12 @@ import numpy as np #pip install numpy
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3: t=150s bis t=5*60s daten laufen pro zeile als 1/8 bei tempo 50 =0,6s/beat. schnelles durchalufen wie gehabt. mit zufälligen pausen
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'''
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midiChannel=3 #<- Change This Manually. TODO: Monday
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scenetimes=[0,20,60,70,120,150,4*60+52] #definition of times
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scenetimes=[0,20,60,70,120,150,500] #definition of times . Last value will be overwritten by last time of csv file
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#scenetimes=[0,2,4,5,6,10,300] #definition of times FASTER FOR TESTING
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scenes =[0,1, 0, 2, 0, 3, 0] #definition of scenes
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scenes =[0,1, 0, 2, 0, 3, -1] #definition of scenes. scene -1 will end the program
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currentScene=-1 #keeps track of current scene
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@ -35,25 +35,10 @@ valueScene=['','','','']
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valueSceneOff=[0,0,0,0]
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timemultiplierScene=[1,1,1,1]
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#Scene 0
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#Scene 1
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topicScene[1]="/"+str(midiChannel)+"/oscplayer/strophe"
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valueScene[1]=1
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stropheTriggered=False #keep track if it is already triggered once
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#Scene 2
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topicScene[2]="/"+str(midiChannel)+"/oscplayer/satz/?"
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valueScene[2]=1
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stropheTriggered=False
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valueCommulative=0
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#Scene 3
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topicScene[3]="/"+str(midiChannel)+"/oscplayer/value/?"
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valueScene[3]=1
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timemultiplierScene[3]=60.0 / 50 / 2
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midiChannel=0 #Can be changed through args TODO: Monday
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header=None
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rows=None
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@ -77,11 +62,38 @@ def init():
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parser = argparse.ArgumentParser()
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parser.add_argument("--ip", default="127.0.0.1", help="The ip of the OSC server")
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parser.add_argument("--port", type=int, default=7005, help="The port the OSC server is listening on")
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parser.add_argument("--channel", type=int, default=1, help="The midi channel to use for osc topic")
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args = parser.parse_args()
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global client
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client = udp_client.SimpleUDPClient(args.ip, args.port)
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global midiChannel
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midiChannel=args.channel
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print("Using midi Channel "+str(midiChannel))
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# Initialize parameters for scenes
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#Scene 0
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#Scene 1
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topicScene[1]="/"+str(midiChannel)+"/oscplayer/strophe"
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valueScene[1]=1
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stropheTriggered=False #keep track if it is already triggered once
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#Scene 2
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topicScene[2]="/"+str(midiChannel)+"/oscplayer/satz/?"
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valueScene[2]=1
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valueCommulative=0
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#Scene 3
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topicScene[3]="/"+str(midiChannel)+"/oscplayer/value/?"
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valueScene[3]=1
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timemultiplierScene[3]=60.0 / 50 / 2
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#########
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csvlist=None
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with open('heart_cluster_max.csv', newline='') as csvfile:
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csvreader = csv.reader(csvfile, delimiter=',', quotechar='|')
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@ -95,7 +107,7 @@ def init():
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global header
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header=csvlist[0]
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global rows
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rows=csvlist[1:]
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rows=csvlist[1:] #discard first row/header
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global rowid
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rowid=0 #waiting for this row to send
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@ -108,8 +120,13 @@ def init():
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global meanvalues
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minvalues=[float(min(x)) for x in filterEmpty(rows)]
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maxvalues=[float(max(x)) for x in filterEmpty(rows)]
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minvalues=[min([float(a) for a in x]) for x in filterEmpty(rows)]
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maxvalues=[max([float(a) for a in x]) for x in filterEmpty(rows)]
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scenetimes[-1]=maxvalues[0] #take maximum value of first column (time) as endtime
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print("Scenetimes:" + str(scenetimes))
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#print(np.mean(np.array((filterEmpty(rows))),axis=1)) #TODO: mittelwert ausrechnen funktioniert noch nicht
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#exit()
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@ -175,7 +192,7 @@ def update(ctime):
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if (i==0): #were only using the first column of the csv file
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if currentScene==1:
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if not stropheTriggered:
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_threshold=(minvalues[i]+(maxvalues[i]-minvalues[i])*0.2)
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_threshold=(minvalues[i+1]+(maxvalues[i+1]-minvalues[i+1])*0.2)
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print("waiting for "+str(value)+"<"+str(_threshold))
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if value<_threshold or getSceneFromTime(timeFromStart+1)!=currentScene: #trigger "randomly" or when scene is about to change
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print("OSC: "+topicScene[currentScene]+": "+str(valueScene[currentScene]))
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@ -184,18 +201,18 @@ def update(ctime):
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stropheTriggered=True
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if currentScene==2:
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print("waiting. diff="+str(abs(maxvalues[i]-value))+" commulative="+str(valueCommulative))
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valueCommulative+=abs(maxvalues[i]-value)
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print("waiting. diff="+str(abs(maxvalues[i+1]-value))+" commulative="+str(valueCommulative))
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valueCommulative+=abs(maxvalues[i+1]-value)
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if valueCommulative>100:
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valueCommulative=0 #reset
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sendvalue=int(mapRange(value,minvalues[i],maxvalues[i],1,4+1))
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sendvalue=int(mapRangeConstrain(value,minvalues[i+1],maxvalues[i+1],1,4))
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print("OSC: "+topicScene[currentScene].replace('?',str(sendvalue))+": "+str(valueScene[currentScene]))
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client.send_message(topicScene[currentScene].replace('?',str(sendvalue)), valueScene[currentScene])
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client.send_message(topicScene[currentScene].replace('?',str(sendvalue)), valueSceneOff[currentScene])
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if currentScene==3:
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sendvalue=int(mapRange(value,minvalues[i],maxvalues[i],1,40+1))
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sendvalue=int(mapRangeConstrain(value,minvalues[i+1],maxvalues[i+1],1,40))
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print("OSC: "+str(rowid)+"/"+str(len(rows))+" t="+str(round(timeFromStart,2))+" "+topicScene[currentScene].replace('?',str(sendvalue))+": "+str(valueScene[currentScene]))
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client.send_message(topicScene[currentScene].replace('?',str(sendvalue)), valueScene[currentScene])
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client.send_message(topicScene[currentScene].replace('?',str(sendvalue)), valueSceneOff[currentScene])
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@ -206,12 +223,12 @@ def update(ctime):
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rowid+=1
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return True
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return currentScene>=0
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def filterEmpty(rows):
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m=[np.array(rows)[:,i+1] for i in range(np.shape(np.array(rows))[1]-1)]
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m=[np.array(rows)[:,i] for i in range(np.shape(np.array(rows))[1])]
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n=[[x if len(x)>0 else None for x in y] for y in m]
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n=[list(filter(None, x)) for x in n]
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return n
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@ -219,6 +236,11 @@ def filterEmpty(rows):
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def mapRange(value, inMin, inMax, outMin, outMax):
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return outMin + (((value - inMin) / (inMax - inMin)) * (outMax - outMin))
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def mapRangeConstrain(v,minIn,maxIn,minOut,maxOut): #include minOut and maxOut and constrain
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return int(max(minOut,min(maxOut,mapRange(v,minIn,maxIn,minOut,maxOut+1))))
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if __name__ == "__main__":
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init()
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