def get_tasks_for_base_plots_for_next_few_days(cls):
""" Grabs the files ID's of NCDF datafiles that haven't been plotted yet. Use this function
to generate a list of unchopped plots that haven't been plotted yet. """
file_ids = []
file_ids.append(DataFileManager.get_next_few_datafiles_of_a_type('NCDF')) # OSU ROMS
file_ids.append(DataFileManager.get_next_few_datafiles_of_a_type('NCEP')) # Wave Forecast
file_ids.append(DataFileManager.get_next_few_datafiles_of_a_type('WIND')) # Wind
file_ids.append(DataFileManager.get_next_few_datafiles_of_a_type('T-CLINE')) # T-Cline
file_ids.append(DataFileManager.get_next_few_datafiles_of_a_type('HYCOM')) # Hycom - Extended
file_ids = [item for sublist in file_ids for item in sublist] # Unravel lists of lists
return cls.get_tasks_for_base_plots_in_files(file_ids)
def get_tasks_for_base_plots_for_next_few_days(cls):
""" Grabs the files ID's of NCDF datafiles that haven't been plotted yet. Use this function
to generate a list of unchopped plots that haven't been plotted yet. """
file_ids = []
file_ids.append(
DataFileManager.get_next_few_datafiles_of_a_type(
'NCDF')) # OSU ROMS
file_ids.append(
DataFileManager.get_next_few_datafiles_of_a_type(
'NCEP')) # Wave Forecast
file_ids.append(
DataFileManager.get_next_few_datafiles_of_a_type('WIND')) # Wind
file_ids.append(
DataFileManager.get_next_few_datafiles_of_a_type(
'T-CLINE')) # T-Cline
file_ids.append(
DataFileManager.get_next_few_datafiles_of_a_type(
'HYCOM')) # Hycom - Extended
file_ids = [item for sublist in file_ids
for item in sublist] # Unravel lists of lists
return cls.get_tasks_for_base_plots_in_files(file_ids)
def plot_latest(num_plots=DEF_NUM_PLOTS, tile=DEF_TILE_FLAG, full_roms=DEF_FULL_ROMS_FLAG, date='latest',
roms=False, wave=False, wind=False, hycom=False, ncep=False, tcline=False, navy=False):
# num_plots = The number of plots you want for each file - save time!
# Pull the latest files from the database and plot those
"""
Using `latest` grabs all plots into the future. Similar to do_pipeline()
"""
from pl_download.models import DataFile as df
from pl_download.models import DataFileManager as dm
from datetime import datetime
if verbose > 0:
print "Date span request: ", date
# Today
if date == 'today':
today = datetime.now().date()
print "Printing all datafiles with date of today"
elif date == 'all':
print "Printing all datafiles"
pass
elif date == 'latest':
print "Printing datafiles that start with PAST_FILES_TO_DISPALY until whats returned from \n"
print "get_next_few_days_files_from_db(days=x)"
pass
elif date is None:
print "Printing datafiles that start with PAST_FILES_TO_DISPALY until whats returned from \n"
print "get_next_few_days_files_from_db(days=x)"
date = 'latest'
else:
print "Wrong date paramater. Please use - 'today', 'all', or 'latest'"
return
if roms:
roms = []
ids = []
if date == "today":
ids = df.objects.filter(type='NCDF').get(model_date=today)
elif date == "latest":
ids = dm.get_next_few_datafiles_of_a_type(type ='NCDF')
elif date == "all":
ids = df.objects.all().filter(type = "NCDF")
print ids
ids = [id.id for id in ids] # Unwrap ids
plot( ids, roms=True, num_plots=num_plots, tile=tile, full_roms=full_roms )
if wave:
waves = []
ids = []
if date == "today":
ids = df.objects.filter(type='WAVE').get(model_date=today)
elif date == "latest":
ids = dm.get_next_few_datafiles_of_a_type(type ='WAVE')
elif date == "all":
ids = df.objects.all().filter(type = "WAVE")
ids = [id.id for id in ids] # Unwrap ids
plot( ids, wave=True, num_plots=num_plots, tile=tile )
if wind:
winds = []
ids = []
if date is "today":
ids = df.objects.filter(type='WIND').get(model_date=today)
elif date is "latest":
ids = dm.get_next_few_datafiles_of_a_type(type ='WIND')
elif date is "all":
ids = df.objects.all().filter(type = "WIND")
ids = [id.id for id in ids] # Unwrap ids
plot(ids, wind=True, num_plots=num_plots, tile=tile )
if hycom:
hycoms = []
if date == "today":
ids = df.objects.filter(type='HYCOM').get(model_date=today)
elif date == "latest":
ids = dm.get_next_few_datafiles_of_a_type(type ='HYCOM')
elif date == "all":
ids = df.objects.all().filter(type = "HYCOM")
ids = [id.id for id in ids] # Unwrap ids
plot( ids, hycom=True, num_plots=num_plots, tile=tile )
if ncep:
nceps = []
ids = []
if date is "today":
ids = df.objects.filter(type='NCEP_WW3').get(model_date=today)
elif date is "latest":
ids = dm.get_next_few_datafiles_of_a_type(type ='NCEP_WW3')
elif date is "all":
ids = df.objects.all().filter(type = "NCEP_WW3")
ids = [id.id for id in ids] # Unwrap ids
plot( ids, ncep=True, num_plots=num_plots, tile=tile )
if tcline:
tcline = []
ids = []
if date is "today":
ids = df.objects.filter(type='T-CLINE').get(model_date=today)
elif date is "latest":
ids = dm.get_next_few_datafiles_of_a_type(type ='T-CLINE')
elif date is "all":
ids = df.objects.all().filter(type = "T-CLINE")
ids = [id.id for id in ids] # Unwrap ids
plot( ids, tcline=True, num_plots=num_plots, tile=tile )
if navy:
navys = []
ids = []
if date is "today":
ids = df.objects.filter(type='HYCOM').get(model_date=today)
elif date is "latest":
ids = dm.get_next_few_datafiles_of_a_type(type ='HYCOM')
elif date is "all":
ids = df.objects.all().filter(type = "HYCOM")
ids = [id.id for id in ids] # Unwrap ids
plot( ids, navy=True, num_plots=num_plots, tile=tile )
print "MANAGE.PY: FINISH TEST"
