/
omdpi.py
684 lines (501 loc) · 25.8 KB
/
omdpi.py
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#!/usr/bin/env python
import numpy as np
from pydap.client import open_url
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
import matplotlib.font_manager as font_manager
import matplotlib.image as img
import Image
import requests
import json
import threading
import time
import ftplib
import datetime
import os
import thread
import config
import gdal2tiles
figsize = 4
fontsize= figsize*4
fontsize_meteo= figsize*6
list_of_maps_to_send = []
def log(message) :
print datetime.datetime.now().strftime("[%d/%m/%Y-%H:%M:%S]") , message
def find_nearest_index2D(array, value):
idx = np.array([np.linalg.norm(x+y) for (x,y) in array-value]).argmin()
return idx
def find_nearest_index1D(array,value):
idx = (np.abs(array-value)).argmin()
return idx
class OMDThread(threading.Thread):
def __init__(self ,cfg ):
self.cfg = cfg
self.lastrun = ""
self.lat = None
self.lon = None
self.latidx = None
self.latidy = None
self.mapGrid = {}
self.BB = dict( lon=[ float(cfg.blipmap_boundingbox.split(",")[0]), float(cfg.blipmap_boundingbox.split(",")[2])],
lat=[ float(cfg.blipmap_boundingbox.split(",")[1]), float(cfg.blipmap_boundingbox.split(",")[3])] )
self._stop = threading.Event()
threading.Thread.__init__(self)
def stop(self):
self._stop.set()
def stopped(self):
return self._stop.isSet()
def run(self):
while not self._stop.isSet():
try:
(status,run,date) = self.getCurrentRun()
if ( status == "complete" and run != self.lastrun):
self.ProcessRun(run,date )
self.lastrun = run
except:
log("Error in processing %s %s" % (run,date))
log("Sleeping ...")
time.sleep(300)
def getLastRun(self):
return self.lastrun
def getCurrentRun(self):
url = self.cfg.statusUrl + "?contact=" + self.cfg.contact
json_data = requests.get(url, timeout=10).json()
#print json.dumps(json_data["france"][0], sort_keys=False,indent=4)
status = ""
i = 0
while status != "complete" and i < len(json_data["france"]):
status = json_data["france"][i]["status"]
run = json_data["france"][i]["run"]
day = json_data["france"][i]["day"]
i = i + 1
if ( status == "complete"):
return (status ,run , day)
else:
return None
def loadGrid(self,dataset,param):
return dataset[param].array[self.latidx.min():self.latidx.max()+1,self.lonidx.min():self.lonidx.max()+1]
def plot2D_parameter(self,grid,filename):
fig = plt.figure(figsize=(figsize,figsize),dpi=self.cfg.map_dpi)
Lon,Lat = np.meshgrid(self.lon, self.lat)
map = Basemap(llcrnrlon=self.BB['lon'][0],llcrnrlat=self.BB['lat'][0],urcrnrlon=self.BB['lon'][1],urcrnrlat=self.BB['lat'][1],
rsphere=(6378137.00,6356752.3142), resolution='l',projection='merc')
x, y = map(Lon, Lat)
cs2 = map.contourf(x,y,grid,512)
plt.subplots_adjust(left=0.0, right=figsize, top=figsize, bottom=0.0)
self.saveplot(plt,filename)
plt.close()
fig1 = plt.figure(figsize=(11,11),dpi=100)
cb = map.colorbar(cs2,"bottom", size="5%", pad="100%")
name = filename + '_legend.jpg'
plt.savefig("maps/"+name, dpi=100,bbox_inches='tight',transparent=False)
plt.close()
list_of_maps_to_send.append("maps/"+name)
img1 = Image.open("maps/"+name)
w, h = img1.size
box = (20, h-70, w-10, h-10)
area = img1.crop(box)
area.save("maps/"+name,'jpeg')
plt.close()
def plot2D_field(self,gridu,gridv,module,direction,filename):
fig = plt.figure(figsize=(figsize,figsize),dpi=self.cfg.map_dpi)
Lon,Lat = np.meshgrid(self.lon, self.lat)
map = Basemap(llcrnrlon=self.BB['lon'][0],llcrnrlat=self.BB['lat'][0],urcrnrlon=self.BB['lon'][1],urcrnrlat=self.BB['lat'][1],
rsphere=(6378137.00,6356752.3142), resolution='l',projection='merc')
x, y = map(Lon, Lat)
cs2 = map.contourf(x,y,module,512)
# barbs = map.barbs(x,y,gridu,gridv,length=8,barbcolor='k',flagcolor='r',linewidth=0.5)
# barbs = map.quiver(x,y,gridu,gridv,scale=100)
# qk = plt.quiverkey(barbs, 0.1, 0.1, 20, '20 m/s', labelpos='W')
lw = lw = 1 + 4*module/module.max()
map.streamplot(x,y,gridu,gridv, density=3, color='k', linewidth=lw , arrowsize=2 )
plt.subplots_adjust(left=0.0, right=figsize, top=figsize, bottom=0.0)
self.saveplot(plt,filename)
plt.close()
fig1 = plt.figure(figsize=(11,11),dpi=100)
cb = map.colorbar(cs2,"bottom", size="5%", pad="100%")
name = filename + '_legend.jpg'
plt.savefig("maps/"+name, dpi=100,bbox_inches='tight',transparent=False)
plt.close()
list_of_maps_to_send.append("maps/"+name)
img1 = Image.open("maps/"+name)
w, h = img1.size
box = (20, h-70, w-10, h-10)
area = img1.crop(box)
area.save("maps/"+name, 'jpeg')
plt.close()
def plot_convergence(self,gridWBLMAXMIN,gridUSFC,gridVSFC,filename):
module = (np.sqrt(gridUSFC*gridUSFC+gridVSFC*gridVSFC))*3.6
fig = plt.figure(figsize=(figsize,figsize),dpi=self.cfg.map_dpi)
Lon,Lat = np.meshgrid(self.lon, self.lat)
map = Basemap(llcrnrlon=self.BB['lon'][0],llcrnrlat=self.BB['lat'][0],urcrnrlon=self.BB['lon'][1],urcrnrlat=self.BB['lat'][1],
rsphere=(6378137.00,6356752.3142), resolution='l',projection='merc')
x, y = map(Lon, Lat)
cs2 = map.contourf(x,y,gridWBLMAXMIN,512)
#print cs2.colors
lw = 1 + 4*module/50
map.streamplot(x,y,gridUSFC,gridVSFC, density=3, color='k', linewidth=lw , arrowsize=2 )
for ix in np.arange(0,module.shape[1],2):
for iy in np.arange(0,module.shape[0],2):
#print ix,iy
ilon = self.lon[ix]
ilat = self.lat[iy]
a,b = map(ilon, ilat)
plt.text(a,b ,int(module[iy,ix]),fontsize=fontsize,fontweight='bold', ha='center',va='center',color='r')
plt.subplots_adjust(left=0.0, right=figsize, top=figsize, bottom=0.0)
self.saveplot(plt,filename)
plt.close()
fig1 = plt.figure(figsize=(11,11),dpi=100)
cb = map.colorbar(cs2,"bottom", size="5%", pad="100%")
name = filename + '_legend.jpg'
plt.savefig("maps/"+name, dpi=100,bbox_inches='tight',transparent=False)
plt.close()
list_of_maps_to_send.append("maps/"+name)
img1 = Image.open("maps/"+name)
w, h = img1.size
box = (20, h-70, w-10, h-10)
area = img1.crop(box)
area.save("maps/"+name, 'jpeg')
plt.close()
def plot_topBL(self,datagrid,ugrid,vgrid,filename):
module = (np.sqrt(ugrid*ugrid+vgrid*vgrid))*3.6
fig = plt.figure(figsize=(figsize,figsize),dpi=self.cfg.map_dpi)
Lon,Lat = np.meshgrid(self.lon, self.lat)
map = Basemap(llcrnrlon=self.BB['lon'][0],llcrnrlat=self.BB['lat'][0],urcrnrlon=self.BB['lon'][1],urcrnrlat=self.BB['lat'][1],
rsphere=(6378137.00,6356752.3142), resolution='l',projection='merc')
x, y = map(Lon, Lat)
cs2 = map.contourf(x,y,datagrid,512)
levels = np.arange(0, 5000, 100)
CS = map.contour(x,y,datagrid, levels, linewidths=0.01,colors = 'k')
plt.clabel(CS,inline=1,fmt='%d')
lw = 1 + 4*module/50
map.streamplot(x,y,ugrid,vgrid, density=3, color='k', linewidth=lw , arrowsize=2 )
for ix in np.arange(0,module.shape[1],2):
for iy in np.arange(0,module.shape[0],2):
#print ix,iy
ilon = self.lon[ix]
ilat = self.lat[iy]
a,b = map(ilon, ilat)
plt.text(a,b ,int(module[iy,ix]),fontsize=fontsize,fontweight='bold', ha='center',va='center',color='r')
plt.subplots_adjust(left=0.0, right=figsize, top=figsize, bottom=0.0)
self.saveplot(plt,filename)
plt.close()
# Legend
fig1 = plt.figure(figsize=(11,11),dpi=100)
cb = map.colorbar(cs2,"bottom", size="5%", pad="100%")
name = filename + '_legend.jpg'
plt.savefig("maps/"+name, dpi=100,bbox_inches='tight',transparent=False)
plt.close()
list_of_maps_to_send.append("maps/"+name)
img1 = Image.open("maps/"+name)
w, h = img1.size
box = (20, h-70, w-10, h-10)
area = img1.crop(box)
area.save("maps/"+name, 'jpeg')
plt.close()
def saveplot(self,plt,filename):
name = filename + '_map.png'
plt.savefig("maps/"+name, dpi=self.cfg.map_dpi,bbox_inches='tight',transparent=True)
plt.close()
img1 = Image.open("maps/"+name)
x,y = img1.size
wf = open("maps/" + filename + '_map.wld',"w")
px = ( self.BB['lon'][1] - self.BB['lon'][0] ) / ( x - 1)
wf.writelines( "%.8f\n" % px )
wf.writelines( "0\n")
wf.writelines( "0\n")
py = ( self.BB['lat'][0]- self.BB['lat'][1] ) / ( y - 1)
wf.writelines( "%.8f\n" % py )
wf.writelines( "%f\n" % ( self.BB['lon'][0]) )
wf.writelines( "%f\n" % ( self.BB['lat'][1]) )
wf.close()
if ( not self.cfg.use_tiles):
list_of_maps_to_send.append("maps/"+name)
else:
cwd = os.getcwd()
infile = os.path.join(cwd,"maps",name)
outdir = os.path.join(cwd,"maps",filename + "_map")
outdir_rel = os.path.join("maps",filename + "_map")
args = ["-w","none","--s_srs","EPSG:4326","-z",self.cfg.tiles_zooms,infile,outdir ] # -w none
g2t = gdal2tiles.GDAL2Tiles(args )
g2t.process()
list_of_maps_to_send.append(outdir_rel)
def plot_clouds(self,gridCFRACL,gridCFRACM,gridCFRACH,gridRAINTOT,gridSFCSUN,filename) :
fontpath = 'img/meteocons.ttf'
prop = font_manager.FontProperties(fname=fontpath)
# constants
# dpi = 72;
# imageSize = (256,256)
# # read in our png file
# im = img.imread("./img/smile.png")
#
module = ( gridCFRACL + gridCFRACM ) / 2
#module = ( gridCFRACL + gridCFRACM + gridCFRACH ) / 3
#module = gridSFCSUN
fig = plt.figure(figsize=(figsize,figsize),dpi=self.cfg.map_dpi)
Lon,Lat = np.meshgrid(self.lon, self.lat)
map = Basemap(llcrnrlon=self.BB['lon'][0],llcrnrlat=self.BB['lat'][0],urcrnrlon=self.BB['lon'][1],urcrnrlat=self.BB['lat'][1],
rsphere=(6378137.00,6356752.3142), resolution='l',projection='merc')
x, y = map(Lon, Lat)
contour_levels = np.arange(10, 100, 1)
cs2 = map.contourf(x,y,module,contour_levels,vmin=10)
# - pioviggine < 1 mm/h
# - pioggia debole 1-2- mm/h
# - pioggia moderata 2-6 mm/h
# - pioggia forte > 6 mm/h
# - rovescio >10 mm/h ma limitato nella durata
# - nubifragio > 30 mm/h
for ix in np.arange(0,module.shape[1],1):
for iy in np.arange(0,module.shape[0],1):
#print ix,iy
ilon = self.lon[ix]
ilat = self.lat[iy]
a,b = map(ilon, ilat)
if ( gridRAINTOT[iy,ix] > 6 ) :
plt.text(a,b ,"8",fontsize=fontsize_meteo,fontproperties=prop, ha='center',va='center',color='r')
elif ( gridRAINTOT[iy,ix] > 2 ) :
plt.text(a,b ,"!",fontsize=fontsize_meteo,fontproperties=prop, ha='center',va='center',color='r')
elif ( gridRAINTOT[iy,ix] > 0.1 ) :
plt.text(a,b ,"7",fontsize=fontsize_meteo,fontproperties=prop, ha='center',va='center',color='r')
elif ( gridCFRACH[iy,ix] > 10 ) :
plt.text(a,b ,"E",fontsize=fontsize_meteo,fontproperties=prop, ha='center',va='center',color='r')
elif ( gridCFRACM[iy,ix] > 10 or gridCFRACL[iy,ix] > 10 ) :
plt.text(a,b ,"N",fontsize=fontsize_meteo,fontproperties=prop, ha='center',va='center',color='r')
plt.subplots_adjust(left=0.0, right=figsize, top=figsize, bottom=0.0)
self.saveplot(plt,filename)
plt.close()
# Legend
fig1 = plt.figure(figsize=(11,11),dpi=100)
cb = map.colorbar(cs2,"bottom", size="5%", pad="100%")
name = filename + '_legend.jpg'
plt.savefig("maps/"+name, dpi=100,bbox_inches='tight',transparent=False)
plt.close()
list_of_maps_to_send.append("maps/"+name)
img1 = Image.open("maps/"+name)
w, h = img1.size
box = (20, h-70, w-10, h-10)
area = img1.crop(box)
area.save("maps/"+name, 'jpeg')
plt.close()
def plot_sun(self,gridSUN,gridRAINC,filename) :
module = gridSUN
fig = plt.figure(figsize=(figsize,figsize),dpi=self.cfg.map_dpi)
Lon,Lat = np.meshgrid(self.lon, self.lat)
map = Basemap(llcrnrlon=self.BB['lon'][0],llcrnrlat=self.BB['lat'][0],urcrnrlon=self.BB['lon'][1],urcrnrlat=self.BB['lat'][1],
rsphere=(6378137.00,6356752.3142), resolution='l',projection='merc')
x, y = map(Lon, Lat)
#contour_levels = np.arange(10, 100, 1)
cs2 = map.contourf(x,y,module,512,vmin=10)
plt.subplots_adjust(left=0.0, right=figsize, top=figsize, bottom=0.0)
self.saveplot(plt,filename)
plt.close()
# Legend
fig1 = plt.figure(figsize=(11,11),dpi=100)
cb = map.colorbar(cs2,"bottom", size="5%", pad="100%")
name = filename + '_legend.jpg'
plt.savefig("maps/"+name, dpi=100,bbox_inches='tight',transparent=False)
plt.close()
list_of_maps_to_send.append("maps/"+name)
img1 = Image.open("maps/"+name)
w, h = img1.size
box = (20, h-70, w-10, h-10)
area = img1.crop(box)
area.save("maps/"+name, 'jpeg')
plt.close()
def ProcessRun(self,run,date ):
try:
# This will create a new file or **overwrite an existing file**.
f = open("./maps/boundingbox.js", "w")
line = " var imageBounds = new google.maps.LatLngBounds("
f.writelines(line + "\n")
line = " new google.maps.LatLng(%s, %s)," % ( self.cfg.blipmap_boundingbox.split(",")[1],self.cfg.blipmap_boundingbox.split(",")[0])
f.writelines(line + "\n")
line = " new google.maps.LatLng(%s,%s));" % ( self.cfg.blipmap_boundingbox.split(",")[3],self.cfg.blipmap_boundingbox.split(",")[2])
f.writelines(line+ "\n")
if self.cfg.use_tiles :
val = "true"
else:
val = "false"
line = " var use_tiles = %s;" % val
f.writelines(line + "\n")
line = " var zoom_min = %s;" % self.cfg.tiles_zooms.split("-")[0]
f.writelines(line + "\n")
line = " var zoom_max = %s;" % self.cfg.tiles_zooms.split("-")[1]
f.writelines(line + "\n")
line = " var run = %s;" % run
f.writelines(line + "\n")
line = " var date = %s;" % date
f.writelines(line + "\n")
f.close()
except Exception,e:
print str(e)
pass
list_of_maps_to_send.append("maps/boundingbox.js")
parameters_2D = [u'SFCSUN', u'PBLTOP', u'WBLMAXMIN', u'ZBLCLMASK', u'V1000', u'RAINC', u'BLTOPVARIAB',
u'WSTAR', u'ZSFCLCLMASK', u'CFRACH', u'BLWINDSHEAR',
u'ZBLCLDIFF', u'CFRACM', u'CFRACL', u'ZBLCL', u'ZWBLMAXMIN',
u'ZSFCLCL', u'PBLH', u'V2000', u'SLP', u'TC2',
u'U1000', u'PBLTOPVARIAB', u'BSRATIO',
u'TER', u'RAINTOT', u'WSFC10', u'ZSFCLCLDIFF', u'WSFC30', u'RAINNC', u'U2000' ]
parameters_Field2D = [ [ u'UBLAVG',u'VBLAVG'] , [ u'UBLTOP',u'VBLTOP' ] , [ u'USFC', u'VSFC' ]]
parameters_Field3D = [ [ u'UMET',u'VMET' ] ]
parameters_3D = [ u'TD',u'TC',u'P',u'Z']
# for parameter in parameters_2D:
# print "{text: \""+parameter.lower()+"\", value:\""+parameter.lower()+"\"},"
# for parameter in parameters_Field2D:
# print "{text: \""+parameter[1].lower()+"\", value:\""+parameter[1].lower()+"\"},"
# exit()
parameters_2D = [u'WSTAR']
parameters_Field2D = [ ]
for ttt in self.cfg.hours_to_process.split(','):
try:
theTime = int(ttt)
timezone = time.timezone
utc_time = theTime + time.timezone / 3600
gridurl = 'http://dap001.teclib.omd-infra.net/a/rasp-france/%s-%s-%s_%s/%s_%s-%s-%s_%.2d:00:00.nc?contact=%s' % ( run[:4],run[4:6],run[6:8],run[8:10],self.cfg.domain,date[:4],date[4:6],date[6:8],utc_time,self.cfg.contact)
log( "Processing : Run : %s - Day %s - theTime : %s - file : %s" % ( run,date, str(theTime),gridurl))
dataset = open_url(gridurl)
if ( self.lat == None or self.lon == None):
# Get all data from lat and lon
self.lat=dataset['XLAT'].array[:,0].transpose()[0]
self.lon=dataset['XLONG'].array[0,:][0]
(self.latidx,) = np.logical_and(self.lat >= self.BB['lat'][0], self.lat < self.BB['lat'][1]).nonzero()
(self.lonidx,) = np.logical_and(self.lon >= self.BB['lon'][0], self.lon < self.BB['lon'][1]).nonzero()
self.lat = self.lat[self.latidx]
self.lon = self.lon[self.lonidx]
log( "Plotting convergence %s @ %s" % ( date, str(theTime) ) )
gridUSFC = self.loadGrid(dataset,'USFC')
gridVSFC = self.loadGrid(dataset,'VSFC')
gridWBLMAXMIN = self.loadGrid(dataset,'WBLMAXMIN')
filename = "%s%s%s_%.2d_convergence" % (date[6:8],date[4:6],date[:4],theTime)
self.plot_convergence(gridWBLMAXMIN,gridUSFC,gridVSFC,filename)
log( "Plotting topbl %s @ %s" % ( date, str(theTime) ) )
gridUBLTOP = self.loadGrid(dataset,'UBLTOP')
gridVBLTOP = self.loadGrid(dataset,'VBLTOP')
gridPBLH = self.loadGrid(dataset,'PBLH')
filename = "%s%s%s_%.2d_topbl" % (date[6:8],date[4:6],date[:4],theTime)
self.plot_topBL(gridPBLH,gridUBLTOP,gridVBLTOP,filename)
log( "Plotting clouds %s @ %s" % ( date, str(theTime) ) )
gridCFRACL = self.loadGrid(dataset,'CFRACL')
gridCFRACM = self.loadGrid(dataset,'CFRACM')
gridCFRACH = self.loadGrid(dataset,'CFRACH')
gridRAINTOT = self.loadGrid(dataset,'RAINTOT')
gridSFCSUN = self.loadGrid(dataset,'SFCSUN')
filename = "%s%s%s_%.2d_clouds" % (date[6:8],date[4:6],date[:4],theTime)
self.plot_clouds(gridCFRACL,gridCFRACM,gridCFRACH,gridRAINTOT,gridSFCSUN,filename)
for parameter in parameters_2D:
log( "Plotting %s %s @ %s" % ( parameter ,date, str(theTime) ) )
grid = dataset[parameter].array[self.latidx.min():self.latidx.max()+1,self.lonidx.min():self.lonidx.max()+1]
filename = "%s%s%s_%.2d_%s" % (date[6:8],date[4:6],date[:4],theTime,parameter.lower())
self.plot2D_parameter(grid,filename)
for parameter in parameters_Field2D:
log( "Plotting %s %s @ %s" % ( parameter ,date, str(theTime) ) )
gridu = dataset[parameter[0]].array[self.latidx.min():self.latidx.max()+1,self.lonidx.min():self.lonidx.max()+1]
gridv = dataset[parameter[1]].array[self.latidx.min():self.latidx.max()+1,self.lonidx.min():self.lonidx.max()+1]
module = (np.sqrt(gridu*gridu+gridv*gridv))*3.6
direction = (np.arctan2(gridu, gridv)/3.14159265358979 + 1)*180
filename = "%s%s%s_%.2d_%s" % (date[6:8],date[4:6],date[:4],theTime,parameter[1].lower())
self.plot2D_field(gridu,gridv,module,direction,filename)
except Exception,e:
print "Error in Run : %s - Day %s - time : %s" % ( run,date, str(theTime))
print str(e)
pass
self.lastrun = run
class FTPThread(threading.Thread):
def __init__(self ,ftpserver,ftpserverdestfolder,ftpserverlogin,ftpserverpassword,delete):
self.ftpserver = ftpserver
self.ftpserverdestfolder = ftpserverdestfolder
self.ftpserverlogin = ftpserverlogin
self.ftpserverpassword = ftpserverpassword
self.delete = delete
self._stop = threading.Event()
threading.Thread.__init__(self)
def stop(self):
self._stop.set()
def stopped(self):
return self._stop.isSet()
def run(self):
while 1:
if ( len(list_of_maps_to_send) != 0) :
map = list_of_maps_to_send.pop(0)
if os.path.isfile(map):
log("Sending file [%d] %s to FTP Server" % (len(list_of_maps_to_send),map ) )
self.sendFileToFTPServer(map)
elif os.path.isdir(map):
log("Sending folder [%d] %s to FTP Server" % (len(list_of_maps_to_send),map ) )
self.sendFolderToFTPServer(map)
else:
time.sleep(10)
def sendFolderToFTPServer(self,forder):
try:
server_folder = ""
s = ftplib.FTP(self.ftpserver,self.ftpserverlogin,self.ftpserverpassword,timeout=60) # Connect
for current_dir, dirs, files in os.walk(forder):
for this_file in files:
filepath = os.path.join(current_dir, this_file)
#self.sendFileToFTPServer(filepath)
f = open(filepath,'rb') # file to send
if ( server_folder != current_dir ) :
server_folder = current_dir
try:
s.mkd(self.ftpserverdestfolder+current_dir)
except:
pass
s.cwd(self.ftpserverdestfolder+current_dir)
s.storbinary('STOR ' + this_file, f) # Send the file
f.close() # Close file and FTP
#log("Sent file to server : " + this_file)
if self.delete :
os.remove(this_file)
log("Deleted file : " + this_file )
s.quit()
log("Sent folder to server : " + forder)
if self.delete :
os.rmdir(forder)
log("Deleted folder : " + forder )
return True
except Exception, err:
print "Exception"
print '%s' % str(err)
log("Error sending folder to server : " + forder)
return False
def sendFileToFTPServer(self,filename):
try:
path,file=os.path.split(filename)
s = ftplib.FTP(self.ftpserver,self.ftpserverlogin,self.ftpserverpassword,timeout=60) # Connect
f = open(filename,'rb') # file to send
try:
s.mkd(self.ftpserverdestfolder+path)
except:
pass
s.cwd(self.ftpserverdestfolder+path)
s.storbinary('STOR ' + file, f) # Send the file
f.close() # Close file and FTP
s.quit()
log("Sent file to server : " + filename)
if self.delete :
os.remove(filename)
log("Deleted file : " + filename )
return True
except Exception, err:
print "Exception"
print '%s' % str(err)
log("Error sending file to server : " + filename)
if self.delete :
os.remove(filename)
log("Deleted file : " + filename )
return False
def add(self,map):
self.list.append(map)
if __name__ == '__main__':
cfg = config.config("./omdpi.cfg")
if (cfg.sent_to_server):
ftp = FTPThread(cfg.ftpserver,cfg.ftpserverdestfolder,cfg.ftpserverLogin,cfg.ftpserverPassowd,cfg.delete_after_sent)
ftp.start()
omd = OMDThread(cfg)
#omd.ProcessRun(run,date )
#exit()
omd.run()
print "Finished"