def do_pipeline():
# Cleaning up old files from the database and the disk
DataFileManager.delete_old_files()
OverlayManager.delete_old_files()
# Check for new feedback surveys or comments, and email them to Flaxen
FeedbackHistory.send_feedback_forms()
FeedbackQuestionaire.send_feedback_survey()
#Downloading the latest datafiles for our models. See the appropriate functions
#pl_download/models.py.DataFileManager.get_latest_wave_watch_files() and
#pl_download/models.py.DataFileManager.fetch_new_files() respectively
try:
#Sometimes even though the file downloads this process hangs and fails.
#The try catch is a stop-gap fix so that the pipeline doesn't stop here
#When it fails in that manner the file is downloaded and can be used
wave_watch_files = DataFileManager.get_latest_wave_watch_files()
except Exception:
print '-' * 60
traceback.print_exc(file=sys.stdout)
print '-' * 60
sst_files = DataFileManager.fetch_new_files() # not calling as a task so it runs inline
wind_files = DataFileManager.get_wind_file()
# If no new files were returned, don't plot or tile anything.
try:
#This try catch is also for the wave watch timeout bug
if not wave_watch_files and not sst_files and not wind_files:
print "No New Files Available, Quitting."
return None
except Exception:
print '-' * 60
traceback.print_exc(file=sys.stdout)
print '-' * 60
# get the list of plotting tasks based on the files we just downloaded.
plot_task_list = OverlayManager.get_tasks_for_base_plots_for_next_few_days()
list_of_chains = []
for pt in plot_task_list:
if pt.args[0] != 4 and pt.args[0] != 6 and pt.args[0] != 7:
# chaining passes the result of first function to second function
list_of_chains.append(chain(pt, tile_overlay.s()))
else:
#Use the Wavewatch tiler for Wavewatch files
list_of_chains.append(chain(pt, tile_wave_watch_overlay.s()))
job = group(item for item in list_of_chains)
print "jobs:"
for each in job:
print each
#and run the group.
result = job.apply_async()
return result
def do_pipeline():
print "TASKS: before deleting files"
DataFileManager.delete_old_files()
print "TASKS: after deleting Datafiles"
OverlayManager.delete_old_files()
print "TASKS: after deleting Overlays"
wave_watch_files = DataFileManager.get_latest_wave_watch_files()
print "TASKS: after getting wave files"
other_files = DataFileManager.fetch_new_files(
) # not calling as a task so it runs inline
print "TASKS: after getting sst/currents files"
# If no new files were returned, don't plot or tile anything.
if not wave_watch_files and not other_files:
return None
# get the list of plotting tasks based on the files we just downloaded.
plot_task_list = OverlayManager.get_tasks_for_base_plots_for_next_few_days(
)
list_of_chains = []
for pt in plot_task_list:
if pt.args[0] != 4:
# chaining passes the result of first function to second function
list_of_chains.append(chain(pt, tile_overlay.s()))
else:
#Use the Wavewatch tiler for Wavewatch files
list_of_chains.append(chain(pt, tile_wave_watch_overlay.s()))
job = group(item for item in list_of_chains)
print "jobs:"
for each in job:
print each
#and run the group.
result = job.apply_async()
return result
wave = DataFileManager.get_latest_wave_watch_files()
wave = DataFile.objects.filter(type='WAVE').latest('model_date')
tiles = []
begin = time.time()
#first entry is day-1 at 12pm
#need to offset 16 to match with sst plot
#NOTE it increments in 1 hour changes
tiles += OverlayManager.make_wave_watch_plot(4, 16, wave[0])
tiles += OverlayManager.make_wave_watch_plot(6, 16, wave[0])
for t in tiles:
tile_wave_watch_overlay(t)
finish = time.time()
totalTime = (finish - begin)/ 60
print "Time taken for Waves = " + str(round(totalTime, 2)) + " minutes"
if sst:
sst = DataFileManager.fetch_new_files()
tiles = []
#first entry is day at 4am
#NOTE it increments in 4 hour changes
begin = time.time()
tiles += OverlayManager.make_plot(1, 0, sst[0])
tiles += OverlayManager.make_plot(3, 0, sst[0])
for t in tiles:
tile_overlay(t)
finish = time.time()
totalTime = (finish - begin)/ 60
print "Time taken for SST = " + str(round(totalTime, 2)) + " minutes"
if wind:
winds = DataFileManager.get_wind_file()
winds = DataFile.objects.filter(type='WIND').latest('model_date')
def testFetchingFiles(self):
print "Running Currents & SS Temperature Download Test: "
result = DataFileManager.fetch_new_files()
self.assertIsNotNone(result)
