OOB : python toolbox for bioreactor management

OOB : python toolbox for bioreactor management

import smtplib  
from email.mime.image import MIMEImage
from email.mime.multipart import MIMEMultipart
import os
import Image
from PIL import Image
import random
import time
import pylab 
import time
import matplotlib.pyplot as plt


 
def send_mail(image_file,passwd):	
	#  email conf
    #image_file = "index.png"
    fromaddr = '[email protected]'  
    toaddrs  = '[email protected]'  
    msg = 'YOUR BIOREACTOR STATS'  
    username = '[email protected]'  
    password = passwd    
    collaborators = ['[email protected]']  
    COMMASPACE = ', '

    # Create the container (outer) email message.
    msg = MIMEMultipart()
    msg['Subject'] = 'Our bioreactor week stats'
    
    
    # me == sender
    # collaborators = receiver list
    msg['From'] = '[email protected]'
    msg['To'] = COMMASPACE.join(collaborators)
    msg.preamble = 'Our family reunion'

    files=[image_file]

    # jpeg pics, attachement in files
    for file in files:
        # Open the files in binary mode.  Let the MIMEImage class automatically
        # guess the specific image type.
        fp = open(file,'rb')
        img = MIMEImage(fp.read())
        fp.close()
        msg.attach(img)  
  
    
    #action on server and send server  datas
    server = smtplib.SMTP('smtp.gmail.com:587')  
    server.starttls()  
    server.login(username,password)  
    server.sendmail(fromaddr, toaddrs, msg.as_string())  
    server.quit() 
    
#photos generation    
def photo_cam(count) :
	projet_name = 'My projetc'	
	os.popen("export LD_PRELOAD=/usr/lib/libv4l/v4l1compat.so")
	os.popen("streamer -o images/"+str(count)+".jpeg")

#quantifiy luminosity
#link = 'index.png'

def photo_quantify():
	count_idate = 0
	liste_data =  []
	listex = []
	liste = os.listdir('images')
	liste.sort()
	print liste
	for i in liste :
		if i.count("jpeg")> 0:
			countj = count_idate+1 
			pixi_list = []
			img = Image.open('images/'+i)
			pix = img.load()
			intensity = 0
			# multiply each pixel by 1.2
			#pix = img.getpixel((x,y))
			x,y = img.size
			#rouge[0],vert[1],bleu[2]'
			for i in range(x):
				for j in range(y):
					intensity = intensity + pix[i,j][1]
			print 'intensity',intensity
			liste_data.append(intensity/100000)
			listex.append(count_idate)
	os.popen("rm images/*.jpeg")
	return listex,liste_data

#graph drawing


def graph(listeX,listeY)	:
	now = time.localtime(time.time())
	print time.strftime("%Y-%m-%d %H:%M:%S %Z", now)
	# import the Matplotlib module
	grap_name = str(time.strftime("%Y-%m-%d %H:%M:%S %Z", now))
	#pylab.plot(listeX, listeY)
	plt.plot(listeY)
	plt.title('variation d intensite')
	plt.grid(True)
	plt.ylabel('Bioreactor Intensity variation')
	plt.axis([0, (len(listeY)-1),0, 200 ])
	plt.savefig(grap_name+'.png')	
	plt.close()
	return grap_name+'.png'
	
#count deltas time
def main(delta_capture,delta_sendmail):	
	start_time_capture = time.time()
	start_time_mail = time.time() 	
	count = 0 
	while 1==1 : 
		elapsed_time_mail = int(time.time()) - int(start_time_mail)
		elapsed_time_capture = int(time.time()) - int(start_time_capture)
		print elapsed_time_capture, elapsed_time_mail
			
		
		#les captures de photos
		if elapsed_time_capture >= delta_capture:
				
				count = count + 1
				print 'capture de photos'
				start_time_capture = time.time()  
				photo_cam(count)
				

		# l'envoie de mail periodique
		if elapsed_time_mail >= delta_sendmail:		
			print 'MAIL'
			start_time_mail = time.time()
			x,y = photo_quantify()
			name = graph(x,y)
			send_mail(name,'passwd')

if __name__ == '__main__':	
	

	intervalle_capture= 10
	intervalle_send_mail = 1000
	#day = 86400
	#minute = 60
	#week = 604800
	#capture,send_mail			
	#photo_cam(1)
	main(intervalle_capture,intervalle_send_mail)
	

it works only on debian/ubuntu, you have to install streamer, if capture doesn't work type : 'export LD_PRELOAD=/usr/lib/libv4l/v4l1compat.so'