osctools/oscplayer/oscplayer.py

import argparse
import random
from sqlite3 import TimeFromTicks
import time

from pythonosc import udp_client  #pip install python-osc

import csv
import numpy as np #pip install numpy

'''
0: t=0s bis t=20s keine ausgabe per osc
1: t=20s bis t=60s einmal die strophe triggern (also nachricht /3/oscplayer/strophe 1) "zufällig"(=basierend auf heartrate daten) zwischen t=20 und t=60
0: t=60s bis t=70s passiert nichts
2: t=70s bis t=120s nachricht /3/oscplayer/satz/<1-4> 1 . "zufällig" auf heartrate daten basierend triggern (muss nicht im beat sein), nicht zu häufig. ca alle 5-10s einmal
0: t=120s bis t=150s nichts, vorheriges hört auf
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
'''




scenetimes=[0,10,60,70,130,150,155,210,220,290,500] #definition of times  . Last value will be overwritten by last time of csv file
#scenetimes=[0,2,4,5,6,10,300] #definition of times  FASTER FOR TESTING
scenes    =[0,1, 0, 2, 0  ,3 ,  0, 3 ,  0, 3,  -1] #definition of scenes. scene -1 will end the program



currentScene=-1 #keeps track of current scene


timemultiplier=1.0 #current time multiplier for speed changes

topicScene=['','','','']
timemultiplierScene=[1,1,1,1] #only initializiation
 
stropheTriggered=False
valueCommulative=0

midiChannel=0   #Can be changed through args TODO: Monday

header=None
rows=None
rowid=0
time_start=0

client=None
lastvalue=[]

minvalues=[]
maxvalues=[]
meanvalues=[]





def init():
    

    parser = argparse.ArgumentParser()
    parser.add_argument("--ip", default="127.0.0.1", help="The ip of the OSC server")
    parser.add_argument("--port", type=int, default=7005, help="The port the OSC server is listening on")
    parser.add_argument("--channel", type=int, default=None, help="The midi channel to use for osc topic. Default=Automatic")
    parser.add_argument("--file", type=str, default='heart_cluster_max.csv', help="The csv file used for data input")
    args = parser.parse_args()

    global client
    client = udp_client.SimpleUDPClient(args.ip, args.port)

    global midiChannel
    midiChannel=args.channel
    print("Using midi Channel "+str(midiChannel))
    
    csvfilename=args.file
    print("Using csv file "+str(csvfilename))



    #########
  
    csvlist=None
    with open(csvfilename, newline='') as csvfile:
        csvreader = csv.reader(csvfile, delimiter=',', quotechar='|')
        csvlist = list(csvreader)
        '''for row in csvreader:
            if header is None:
                header=row
            else:
                rows.vstack(row)
                '''
    global header
    header=csvlist[0]
    global rows
    rows=csvlist[1:] #discard first row/header
    
    
    rows = [x for x in rows if float(x[1])>40] #filter out rows with value <40
    

    global rowid
    rowid=0 #waiting for this row to send

    global lastvalue
    lastvalue=np.zeros(len(rows)-1)
    

    global minvalues
    global maxvalues
    global meanvalues

    
    minvalues=[min([float(a) for a in x]) for x in filterEmpty(rows)]
    maxvalues=[max([float(a) for a in x]) for x in filterEmpty(rows)]
    meanvalues=[np.mean([float(a) for a in x]) for x in filterEmpty(rows)]
    
    if midiChannel is None:
        midiChannel=int(mapRangeConstrain(float(rows[0][1]),minvalues[1],maxvalues[1],1,16))
        print("Using midi Channel "+str(midiChannel))

    scenetimes[-1]=maxvalues[0] #take maximum value of first column (time) as endtime
    scenetimes[-2]=maxvalues[0]-20
    print("Scenetimes:" + str(scenetimes))
    
    
    print("minvalues="+str(minvalues))
    print("maxvalues="+str(maxvalues))
    print("meanvalues="+str(meanvalues))


    
    # Initialize parameters for scenes        
    #Scene 0

    #Scene 1
    topicScene[1]="/"+str(midiChannel)+"/oscplayer/strophe"
    stropheTriggered=False #keep track if it is already triggered once

    #Scene 2
    topicScene[2]="/"+str(midiChannel)+"/oscplayer/satz/?"
    valueCommulative=0

    #Scene 3
    topicScene[3]="/"+str(midiChannel)+"/oscplayer/value/?"
    timemultiplierScene[3]=60.0 / 50 / 2


    #print(np.mean(np.array((filterEmpty(rows))),axis=1))  #TODO: mittelwert ausrechnen funktioniert noch nicht
    #exit()
    #meanvalues=[float(np.mean(x)) for x in filterEmpty(rows)]

    global time_start
    time_start = time.time()
    
def getSceneFromTime(t):
    i=0
    while i<len(scenetimes) and t>=scenetimes[i]:
        i+=1
    
    return scenes[i-1]
    

def update(ctime):
    global minvalues
    global maxvalues
    global meanvalues
    global rowid
    global client
    global lastvalue

    global timemultiplier
    global currentScene
    global stropheTriggered

    global valueCommulative

    timeFromStart=ctime-time_start


    if currentScene!=getSceneFromTime(timeFromStart): #When scene changed
        currentScene=getSceneFromTime(timeFromStart)
        timemultiplier=timemultiplierScene[currentScene] #update speed

        _rowidBefore=rowid
        rowid=0
        while timeFromStart>=(float(rows[rowid%len(rows)][0])+float(rows[len(rows)-1][0])*int(rowid/len(rows)))*timemultiplier: #fast forward rowid
            rowid+=1
            '''if rowid>=len(rows): #ended?
                rowid=0'''
        rowid-=1
        if _rowidBefore!=rowid:
            print("Updated Row Id from "+str(_rowidBefore)+" to "+str(rowid)+" of "+str(len(rows)))
            
        print("t="+str(timeFromStart)+"s: Changed Scene to "+str(currentScene)+". timemultiplier="+str(timemultiplier))
        
        
        # Below here things that should happen once on scene change to "currentScene"
        if currentScene==3: #on scene change to 3
            sendOSCTrigger("/sprachsamples/beatrepeatonoff")
            
        if currentScene==-1: #ended
            sendOSCTrigger("/stopcommand")
            sendOSCTrigger("/sprachsamples/beatrepeatonoff")
            


    '''if rowid>=len(rows): #ended?
        rowid=0 #when finished csv start from beginning
        #return False
        '''

    if timeFromStart>=(float(rows[rowid%len(rows)][0])+float(rows[len(rows)-1][0])*int(rowid/len(rows)))*timemultiplier:
        #print(rows[rowid])
        crow=rows[rowid%len(rows)]
        for i in range(len(header)-1):
            if len(crow[i+1])>0: #value not empty
                value=float(crow[i+1])
                
                if (i==0): #were only using the first column of the csv file
                    #Below here things that should happen when in "currentScene" every time new data from the csv file is read
                    if currentScene==1:
                        if not stropheTriggered:
                            _threshold=(minvalues[i+1]+(maxvalues[i+1]-minvalues[i+1])*0.2)
                            print("waiting for "+str(value)+"<"+str(_threshold))
                            if value<_threshold or getSceneFromTime(timeFromStart+1)!=currentScene: #trigger "randomly" or when scene is about to change
                                sendOSCTrigger(topicScene[currentScene])
                                stropheTriggered=True

                    if currentScene==2:        
                        print("waiting. diff="+str(abs(maxvalues[i+1]-value))+" commulative="+str(valueCommulative))
                        #valueCommulative+=abs(maxvalues[i+1]-value)
                        valueCommulative+=mapRangeConstrain(value,minvalues[i+1],maxvalues[i+1],0,100)

                        if valueCommulative>500: #higher value triggers less
                            valueCommulative-=500 #reset
                            sendvalue=int(mapRangeConstrain(value,minvalues[i+1],maxvalues[i+1],1,4))
                            sendOSCTrigger(topicScene[currentScene].replace('?',str(sendvalue)))

                    if currentScene==3:
                        sendvalue=int(mapRangeConstrain(value,minvalues[i+1],maxvalues[i+1],1,40))
                        sendOSCTrigger(topicScene[currentScene].replace('?',str(sendvalue)))
                        print("OSC: "+str(rowid)+"/"+str(len(rows))+" t="+str(round(timeFromStart,2)))
                    
                    

                lastvalue[i]=value #save last value
        rowid+=1


    return currentScene>=0



def filterEmpty(rows):
    m=[np.array(rows)[:,i]  for i in range(np.shape(np.array(rows))[1])]
    n=[[x if len(x)>0 else None for x in y] for y in m]
    n=[list(filter(None, x)) for x in n]
    return n
    
    
    
def mapRange(value, inMin, inMax, outMin, outMax):
    return outMin + (((value - inMin) / (inMax - inMin)) * (outMax - outMin))


def mapRangeConstrain(v,minIn,maxIn,minOut,maxOut): #include minOut and maxOut and constrain
    return int(max(minOut,min(maxOut,mapRange(v,minIn,maxIn,minOut,maxOut+1))))

def sendOSCTrigger(mesg):
    print("OSC: "+str(mesg)+" : 1 and 0")
    client.send_message(str(mesg), 1)
    client.send_message(str(mesg), 0)

if __name__ == "__main__":
    init()


    res=True
    while res:
        res=update(time.time())