def animation_datetimes(self):
"""For every date/time in the last 24 hours, we check if the
data is available. We need at least the "full" geotiff, and
if the user is logged in, then possibly a geotiff for the
user's region as well.
Returned JSON is set as a variable in Javascript
(wms_neerslagradar.html), and used in lizard_neerslagradar.js
to load the whole animation."""
data = []
for dt in animation_datetimes(utc_now()):
p = netcdf.time_2_path(dt)
p = reproject.cache_path(p, "EPSG:3857", TIFF_BBOX.split(", "), 525, 497)
logger.debug("Checking path: {0}".format(p))
if os.path.exists(p):
data.append(
{
# Translate the UTC datetime to the timezone
# in Settings
"datetime": (dt.astimezone(pytz.timezone(settings.TIME_ZONE)).strftime("%Y-%m-%dT%H:%M"))
}
)
logger.debug("Data: {0}".format(data))
return json.dumps(data)
def handle(self, *args, **options):
parser = OptionParser(option_list=self.option_list)
(options, args) = parser.parse_args()
logger.warn("IGNORED from=%s", options.from_)
logger.warn("IGNORED skip_existing=%s", options.skip_existing)
time_from = dateutil.parser.parse('2011-01-07T00:00:00.000Z')
time_to = dateutil.parser.parse('2011-01-08T00:00:00.000Z')
times_list = [time_from]
if time_to:
interval = datetime.timedelta(minutes=5)
time = time_from
while time < time_to:
time += interval
times_list.append(time)
nc = netCDF4.Dataset(settings.RADAR_NC_PATH, 'r')
with contextlib.closing(nc):
for time in times_list:
try:
path = netcdf.time_2_path(time)
netcdf.mk_geotiff(nc, time, path)
logger.info('Created geotiff for {}'.format(time))
except:
logger.exception(
'While creating geotiff for {}'.format(time))
def get(self, request):
# WMS standard parameters
width = int(request.GET.get('WIDTH', '512'))
height = int(request.GET.get('HEIGHT', '512'))
opacity = float(request.GET.get('OPACITY', '0.6'))
bbox = request.GET.get(
'BBOX',
'151345.64262053, 6358643.0784661, '
'981757.51779509, 7136466.2781877')
bbox = tuple([float(i.strip()) for i in bbox.split(',')])
srs = request.GET.get('SRS', 'EPSG:3857')
# Either a time span, or a single time can be passed
times = request.GET.get(
'TIME', '2011-01-07T00:00:00.000Z/2011-01-08T00:00:00.000Z')
times = times.split('/')
if len(times) == 1:
time_from = dateutil.parser.parse(times[0])
# time_to = None
elif len(times) == 2:
time_from = dateutil.parser.parse(times[0])
# time_to = dateutil.parser.parse(times[1])
else:
raise Exception('No time provided')
path = netcdf.time_2_path(time_from)
return self.serve_geotiff(path, width, height, bbox, srs, opacity)
def handle(self, *args, **options):
parser = OptionParser(option_list=self.option_list)
(options, args) = parser.parse_args()
logger.warn("IGNORED from=%s", options.from_)
logger.warn("IGNORED skip_existing=%s", options.skip_existing)
time_from = dateutil.parser.parse('2011-01-07T00:00:00.000Z')
time_to = dateutil.parser.parse('2011-01-08T00:00:00.000Z')
times_list = [time_from]
if time_to:
interval = datetime.timedelta(minutes=5)
time = time_from
while time < time_to:
time += interval
times_list.append(time)
nc = netCDF4.Dataset(settings.RADAR_NC_PATH, 'r')
with contextlib.closing(nc):
for time in times_list:
try:
path = netcdf.time_2_path(time)
netcdf.mk_geotiff(nc, time, path)
logger.info('Created geotiff for {}'.format(time))
except:
logger.exception(
'While creating geotiff for {}'.format(time))
def create_projected_geotiffs(stdout, verbose=False):
"""Creating reprojected images is too slow to do on the fly, so
they can be generated using this script.
The images generated are all 512x512, and all Google
projections. Images are generated for each 5-minute step in the
last 24 hours, both for the entire radar extent and for all users'
extents.
This results in a lot of files. Another script should run to clean
up the files afterwards.
"""
to_srs = 'EPSG:3857'
bbox_whole = tuple(float(c) for c in views.TIFF_BBOX.split(", "))
extents = set((bbox_whole,))
for user in User.objects.all():
user_extent = models.Region.extent_for_user(user)
if user_extent is not None:
if verbose:
stdout.write("Adding extent for {0}.\n".format(user))
extents.add((user_extent['left'], user_extent['bottom'],
user_extent['right'], user_extent['top']))
files_to_keep = set()
for current in views.animation_datetimes(views.LOGGED_IN_ANIMATION_HOURS):
if verbose:
stdout.write(str(current) + "\n")
path = netcdf.time_2_path(current)
if not os.path.exists(path):
if verbose:
stdout.write("Skipping {0} because it doesn't exist.\n"
.format(path))
continue
for extent in extents:
result = reproject.reprojected_image(
path, to_srs, extent, 525, 497)
if result is not None:
files_to_keep.add(result)
if verbose:
stdout.write("Created {0}.\n".format(result))
# Remove files we don't need to keep anymore
if hasattr(settings, 'GEOTIFF_ANIMATION_CACHE_DIR'):
top_dir = settings.GEOTIFF_ANIMATION_CACHE_DIR
clean_dir(top_dir, files_to_keep, stdout, verbose)
def create_projected_geotiffs(stdout, verbose=False):
"""Creating reprojected images is too slow to do on the fly, so
they can be generated using this script.
The images generated are all 512x512, and all Google
projections. Images are generated for each 5-minute step in the
last 24 hours, both for the entire radar extent and for all users'
extents.
This results in a lot of files. Another script should run to clean
up the files afterwards.
"""
to_srs = 'EPSG:3857'
bbox_whole = tuple(float(c) for c in views.TIFF_BBOX.split(", "))
extents = set((bbox_whole, ))
for user in User.objects.all():
user_extent = models.Region.extent_for_user(user)
if user_extent is not None:
if verbose:
stdout.write("Adding extent for {0}.\n".format(user))
extents.add((user_extent['left'], user_extent['bottom'],
user_extent['right'], user_extent['top']))
files_to_keep = set()
for current in views.animation_datetimes(views.LOGGED_IN_ANIMATION_HOURS):
if verbose:
stdout.write(str(current) + "\n")
path = netcdf.time_2_path(current)
if not os.path.exists(path):
if verbose:
stdout.write(
"Skipping {0} because it doesn't exist.\n".format(path))
continue
for extent in extents:
result = reproject.reprojected_image(path, to_srs, extent, 525,
497)
if result is not None:
files_to_keep.add(result)
if verbose:
stdout.write("Created {0}.\n".format(result))
# Remove files we don't need to keep anymore
if hasattr(settings, 'GEOTIFF_ANIMATION_CACHE_DIR'):
top_dir = settings.GEOTIFF_ANIMATION_CACHE_DIR
clean_dir(top_dir, files_to_keep, stdout, verbose)
def get(self, request):
# WMS standard parameters
width = int(request.GET.get('WIDTH', '512'))
height = int(request.GET.get('HEIGHT', '512'))
opacity = float(request.GET.get('OPACITY', '0.6'))
bbox = request.GET.get('BBOX', TIFF_BBOX)
bbox = tuple([float(i.strip()) for i in bbox.split(',')])
srs = request.GET.get('SRS', 'EPSG:3857')
# Either a time span, or a single time can be passed
times = request.GET.get('TIME', '')
times = times.split('/')
if len(times) == 1 and times[0]:
time_from = dateutil.parser.parse(times[0])
elif len(times) == 2:
time_from = dateutil.parser.parse(times[0])
else:
raise Exception('No time provided')
# Translate from the site's timezone to UTC
# time_from is a UTC datetime, but that's incorrect, it's
# actually in the site's timezone. So we have to turn it into
# a naive datetime first.
time_from = datetime.datetime(year=time_from.year,
month=time_from.month,
day=time_from.day,
hour=time_from.hour,
minute=time_from.minute)
# Get the site timezone
tz = pytz.timezone(settings.TIME_ZONE)
# Translate to UTC
time_from = tz.localize(time_from).astimezone(pytz.UTC)
# Get the path for this datetime
path = netcdf.time_2_path(time_from)
return self.serve_geotiff(path, width, height, bbox, srs, opacity)
def get(self, request):
# WMS standard parameters
width = int(request.GET.get("WIDTH", "512"))
height = int(request.GET.get("HEIGHT", "512"))
opacity = float(request.GET.get("OPACITY", "0.6"))
bbox = request.GET.get("BBOX", TIFF_BBOX)
bbox = tuple([float(i.strip()) for i in bbox.split(",")])
srs = request.GET.get("SRS", "EPSG:3857")
# Either a time span, or a single time can be passed
times = request.GET.get("TIME", "")
times = times.split("/")
if len(times) == 1 and times[0]:
time_from = dateutil.parser.parse(times[0])
elif len(times) == 2:
time_from = dateutil.parser.parse(times[0])
else:
raise Exception("No time provided")
# Translate from the site's timezone to UTC
# time_from is a UTC datetime, but that's incorrect, it's
# actually in the site's timezone. So we have to turn it into
# a naive datetime first.
time_from = datetime.datetime(
year=time_from.year, month=time_from.month, day=time_from.day, hour=time_from.hour, minute=time_from.minute
)
# Get the site timezone
tz = pytz.timezone(settings.TIME_ZONE)
# Translate to UTC
time_from = tz.localize(time_from).astimezone(pytz.UTC)
# Get the path for this datetime
path = netcdf.time_2_path(time_from)
return self.serve_geotiff(path, width, height, bbox, srs, opacity)
