def __init__(self, args):
# Version
self.version = get_arg(args,
"version",
"WMS version",
permitted_values=['1.1.1', '1.3.0'])
# CRS
if self.version == '1.1.1':
crs_arg = "srs"
else:
crs_arg = "crs"
self.crsid = get_arg(
args,
crs_arg,
"Coordinate Reference System",
errcode=WMSException.INVALID_CRS,
permitted_values=get_service_cfg().published_CRSs.keys())
self.crs = geometry.CRS(self.crsid)
# Layers
self.product = self.get_product(args)
self.raw_product = self.get_raw_product(args)
self.geometry = _get_polygon(args, self.crs)
# BBox, height and width parameters
self.geobox = _get_geobox(args, self.crs)
# Time parameter
self.time = get_time(args, self.product, self.raw_product)
self.method_specific_init(args)
def img_coords_to_geopoint(geobox, i, j):
service_cfg = get_service_cfg()
h_coord = service_cfg.published_CRSs[geobox.crs.crs_str]["horizontal_coord"]
v_coord = service_cfg.published_CRSs[geobox.crs.crs_str]["vertical_coord"]
return geometry.point(geobox.coordinates[h_coord].values[int(i)],
geobox.coordinates[v_coord].values[int(j)],
geobox.crs)
def desc_coverages(args):
# Note: Only WCS v1.0.0 is fully supported at this stage, so no version negotiation is necessary
# Extract layer metadata from Datacube.
platforms = get_layers(refresh=True)
coverages = args.get("coverage")
products = []
if coverages:
coverages = coverages.split(",")
for c in coverages:
p = platforms.product_index.get(c)
if p:
products.append(p)
else:
raise WCS1Exception("Invalid coverage: %s" % c,
WCS1Exception.COVERAGE_NOT_DEFINED,
locator="Coverage parameter")
else:
for plat in platforms:
for p in plat.products:
products.append(p)
return (render_template("wcs_desc_coverage.xml",
service=get_service_cfg(),
products=products), 200,
resp_headers({
"Content-Type": "application/xml",
"Cache-Control": "max-age=10"
}))
def get_capabilities(args):
# TODO: Handle updatesequence request parameter for cache consistency.
# Note: Only WMS v1.0.0 exists at this stage, so no version negotiation is necessary
# Extract layer metadata from Datacube.
platforms = get_layers(refresh=True)
service_cfg = get_service_cfg()
url = args.get('Host', args['url_root'])
base_url = get_service_base_url(service_cfg.allowed_urls, url)
section = args.get("section")
if section:
section = section.lower()
show_service_id = False
show_service_provider = False
show_ops_metadata = False
show_contents = False
show_themes = False
if section is None:
show_service_id = True
show_service_provider = True
show_ops_metadata = True
show_contents = True
show_themes = True
else:
sections = section.split(",")
for s in sections:
if s == "all":
show_service_id = True
show_service_provider = True
show_ops_metadata = True
show_contents = True
show_themes = True
elif s == "serviceidentification":
show_service_id = True
elif s == "serviceprovider":
show_service_provider = True
elif s == "operationsmetadata":
show_ops_metadata = True
elif s == "contents":
show_contents = True
elif s == "themes":
show_themes = True
else:
raise WMTSException("Invalid section: %s" % section,
WMTSException.INVALID_PARAMETER_VALUE,
locator="Section parameter")
return (render_template("wmts_capabilities.xml",
service=service_cfg,
platforms=platforms,
base_url=base_url,
show_service_id=show_service_id,
show_service_provider=show_service_provider,
show_ops_metadata=show_ops_metadata,
show_contents=show_contents,
show_themes=show_themes,
webmerc_ss=WebMercScaleSet), 200,
resp_headers({
"Content-Type": "application/xml",
"Cache-Control": "no-cache,max-age=0"
}))
def get_capabilities(args):
# TODO: Handle updatesequence request parameter for cache consistency.
# Note: Only WMS v1.3.0 is fully supported at this stage, so no version negotiation is necessary
# Extract layer metadata from Datacube.
platforms = get_layers(refresh=True)
return render_template("wms_capabilities.xml",
service=get_service_cfg(),
platforms=platforms), 200, resp_headers({
"Content-Type":
"application/xml",
"Cache-Control":
"no-cache,max-age=0"
})
def get_tiff(req, data):
"""Uses rasterio MemoryFiles in order to return a streamable GeoTiff response"""
# Copied from CEOS. Does not seem to support multi-time dimension data - is this even possible in GeoTiff?
supported_dtype_map = {
'uint8': 1,
'uint16': 2,
'int16': 3,
'uint32': 4,
'int32': 5,
'float32': 6,
'float64': 7,
'complex': 9,
'complex64': 10,
'complex128': 11,
}
dtype_list = [data[array].dtype for array in data.data_vars]
dtype = str(max(dtype_list, key=lambda d: supported_dtype_map[str(d)]))
data = data.astype(dtype)
svc = get_service_cfg()
xname = svc.published_CRSs[req.request_crsid]["horizontal_coord"]
yname = svc.published_CRSs[req.request_crsid]["vertical_coord"]
nodata = 0
for band in data.data_vars:
nodata = req.product.band_idx.nodata_val(band)
with MemoryFile() as memfile:
#pylint: disable=protected-access, bad-continuation
with memfile.open(driver="GTiff",
width=data.dims[xname],
height=data.dims[yname],
count=len(data.data_vars),
transform=req.affine,
crs=req.response_crsid,
nodata=nodata,
tiled=True,
compress="lzw",
interleave="band",
dtype=dtype) as dst:
for idx, band in enumerate(data.data_vars, start=1):
dst.write(data[band].values, idx)
dst.set_band_description(idx,
req.product.band_idx.band_label(band))
dst.update_tags(idx,
STATISTICS_MINIMUM=data[band].values.min())
dst.update_tags(idx,
STATISTICS_MAXIMUM=data[band].values.max())
dst.update_tags(idx, STATISTICS_MEAN=data[band].values.mean())
dst.update_tags(idx, STATISTICS_STDDEV=data[band].values.std())
return memfile.read()
def get_capabilities(args):
# TODO: Handle updatesequence request parameter for cache consistency.
# Note: Only WMS v1.3.0 is fully supported at this stage, so no version negotiation is necessary
# Extract layer metadata from Datacube.
platforms = get_layers(refresh=True)
service_cfg = get_service_cfg()
url = args.get('Host', args['url_root'])
base_url = get_service_base_url(service_cfg.allowed_urls, url)
return (render_template("wms_capabilities.xml",
service=service_cfg,
platforms=platforms,
base_url=base_url), 200,
resp_headers({
"Content-Type": "application/xml",
"Cache-Control": "max-age=10"
}))
def legend_graphic(args):
params = GetLegendGraphicParameters(args)
svc_cfg = get_service_cfg()
img = None
if not params.style_name:
product = params.product
legend_config = product.legend
if legend_config is not None:
if legend_config.get('url', None):
pass
else:
styles = [
product.style_index[s]
for s in legend_config.get('styles', [])
]
img = create_legends_from_styles(product, styles)
return img
def get_tiff(req, data):
"""Uses rasterio MemoryFiles in order to return a streamable GeoTiff response"""
# Copied from CEOS. Does not seem to support multi-time dimension data - is this even possible in GeoTiff?
supported_dtype_map = {
'uint8': 1,
'uint16': 2,
'int16': 3,
'uint32': 4,
'int32': 5,
'float32': 6,
'float64': 7,
'complex': 9,
'complex64': 10,
'complex128': 11,
}
dtype_list = [data[array].dtype for array in data.data_vars]
dtype = str(max(dtype_list, key=lambda d: supported_dtype_map[str(d)]))
data = data.astype(dtype)
svc = get_service_cfg()
xname = svc.published_CRSs[req.request_crsid]["horizontal_coord"]
yname = svc.published_CRSs[req.request_crsid]["vertical_coord"]
with MemoryFile() as memfile:
#pylint: disable=protected-access, bad-continuation
with memfile.open(driver="GTiff",
width=data.dims[xname],
height=data.dims[yname],
count=len(data.data_vars),
transform=_get_transform_from_xr(xname, yname, data),
crs=req.response_crsid,
dtype=dtype) as dst:
for idx, band in enumerate(data.data_vars, start=1):
dst.write(data[band].values, idx)
# As of rasterio 1.0.2 the nodatavals property is not writable
# as suggested in the docs, use the deprecated function
dst._set_nodatavals([
req.product.nodata_dict[band]
if band in req.product.nodata_dict else 0
for band in data.data_vars
])
return memfile.read()
def get_capabilities(args):
# TODO: Handle updatesequence request parameter for cache consistency.
# Note: Only WCS v1.0.0 is fully supported at this stage, so no version negotiation is necessary
section = args.get("section")
if section:
section = section.lower()
show_service = False
show_capability = False
show_content_metadata = False
if section is None or section == "/":
show_service = True
show_capability = True
show_content_metadata = True
elif section == "/wcs_capabilities/service":
show_service = True
elif section == "/wcs_capabilities/capability":
show_capability = True
elif section == "/wcs_capabilities/contentmetadata":
show_content_metadata = True
else:
raise WCS1Exception("Invalid section: %s" % section,
WCS1Exception.INVALID_PARAMETER_VALUE,
locator="Section parameter")
# Extract layer metadata from Datacube.
platforms = get_layers(refresh=True)
service_cfg = get_service_cfg()
url = args.get('Host', args['url_root'])
base_url = get_service_base_url(service_cfg.allowed_urls, url)
return (
render_template("wcs_capabilities.xml",
show_service=show_service,
show_capability=show_capability,
show_content_metadata=show_content_metadata,
service=service_cfg,
platforms=platforms,
base_url=base_url),
200,
resp_headers({
"Content-Type": "application/xml",
"Cache-Control": "no-cache, max-age=0"
}))
def get_coverage(args):
decoder = WCS20GetCoverageKVPDecoder(args)
try:
coverage_id = decoder.coverage_id
except KeyError:
raise WCS2Exception("Missing coverageid parameter", locator="coverageid")
svc_cfg = get_service_cfg(refresh=True)
layers = get_layers(refresh=True)
product = layers.product_index.get(coverage_id)
if not product:
raise WCS2Exception("Invalid coverage: %s" % coverage_id,
WCS2Exception.COVERAGE_NOT_DEFINED,
locator="COVERAGE parameter")
if decoder.format:
if decoder.format not in svc_cfg.wcs_formats:
raise WCS2Exception("Unsupported format: %s" % decoder.format,
WCS2Exception.INVALID_PARAMETER_VALUE,
locator="FORMAT parameter")
elif not svc_cfg.native_wcs_format:
raise WCS2Exception("Missing parameter format 'format'",
WCS2Exception.MISSING_PARAMETER_VALUE,
locator="FORMAT parameter")
fmt_cfg = svc_cfg.wcs_formats[decoder.format or svc_cfg.native_wcs_format]
return (
'',
200,
resp_headers({
"Content-Type": "application/xml",
"Cache-Control": "no-cache, max-age=0"
})
)
def ogc_impl():
nocase_args = lower_get_args()
nocase_args['referer'] = request.headers.get('Referer', None)
nocase_args['origin'] = request.headers.get('Origin', None)
nocase_args['requestid'] = request.environ.get("FLASK_REQUEST_ID")
service = nocase_args.get("service", "").upper()
svc_cfg = get_service_cfg()
try:
if service == "WMS":
# WMS operation Map
if svc_cfg.wms:
return handle_wms(nocase_args)
else:
raise WMSException("Invalid service",
locator="Service parameter")
elif service == "WCS":
# WCS operation Map
if svc_cfg.wcs:
return handle_wcs(nocase_args)
else:
raise WCS1Exception("Invalid service",
locator="Service parameter")
else:
# Should we return a WMS or WCS exception if there is no service specified?
# Defaulting to WMS because that's what we already have.
raise WMSException("Invalid service", locator="Service parameter")
except OGCException as e:
return e.exception_response()
except Exception as e:
tb = sys.exc_info()[2]
if service == "WCS":
eclass = WCS1Exception
else:
eclass = WMSException
ogc_e = eclass("Unexpected server error: %s" % str(e),
http_response=500)
return ogc_e.exception_response(traceback=traceback.extract_tb(tb))
def desc_coverages(args):
try:
coverage_ids = [s.strip() for s in args['coverageid'].split(',')]
except KeyError:
raise WCS2Exception("Missing coverageid parameter", locator="coverageid")
svc_cfg = get_service_cfg(refresh=True)
layers = get_layers(refresh=True)
products = []
for coverage_id in coverage_ids:
product = layers.product_index.get(coverage_id)
if product:
products.append(product)
else:
raise WCS2Exception("Invalid coverage: %s" % coverage_id,
WCS2Exception.COVERAGE_NOT_DEFINED,
locator="Coverage parameter")
# TODO: make a coverge object from each of the 'products'
coverages = [
get_coverage_object(svc_cfg, product)
for product in products
]
encoder = WCS21XMLEncoder()
return (
encoder.serialize(
encoder.encode_coverage_descriptions(coverages)
),
200,
resp_headers({
"Content-Type": "application/xml",
"Cache-Control": "no-cache, max-age=0"
})
)
def feature_info(args):
# pylint: disable=too-many-nested-blocks, too-many-branches, too-many-statements, too-many-locals
# Parse GET parameters
params = GetFeatureInfoParameters(args)
# Prepare to extract feature info
stacker = DataStacker(params.product, params.geobox, params.time)
feature_json = {}
# --- Begin code section requiring datacube.
service_cfg = get_service_cfg()
dc = get_cube()
try:
geo_point = img_coords_to_geopoint(params.geobox, params.i, params.j)
datasets = stacker.datasets(dc.index, all_time=True, point=geo_point)
pq_datasets = stacker.datasets(dc.index,
mask=True,
all_time=False,
point=geo_point)
h_coord = service_cfg.published_CRSs[params.crsid]["horizontal_coord"]
v_coord = service_cfg.published_CRSs[params.crsid]["vertical_coord"]
isel_kwargs = {h_coord: [params.i], v_coord: [params.j]}
if not datasets:
pass
else:
available_dates = set()
drill = {}
for d in datasets:
idx_date = (d.center_time +
timedelta(hours=params.product.time_zone)).date()
available_dates.add(idx_date)
pixel_ds = None
if idx_date == params.time and "lon" not in feature_json:
data = stacker.data([d], skip_corrections=True)
# Use i,j image coordinates to extract data pixel from dataset, and
# convert to lat/long geographic coordinates
if service_cfg.published_CRSs[params.crsid]["geographic"]:
# Geographic coordinate systems (e.g. EPSG:4326/WGS-84) are already in lat/long
feature_json["lat"] = data.latitude[params.j].item()
feature_json["lon"] = data.longitude[params.i].item()
pixel_ds = data.isel(**isel_kwargs)
else:
# Non-geographic coordinate systems need to be projected onto a geographic
# coordinate system. Why not use EPSG:4326?
# Extract coordinates in CRS
data_x = getattr(data, h_coord)
data_y = getattr(data, v_coord)
x = data_x[params.i].item()
y = data_y[params.j].item()
pt = geometry.point(x, y, params.crs)
# Project to EPSG:4326
crs_geo = geometry.CRS("EPSG:4326")
ptg = pt.to_crs(crs_geo)
# Capture lat/long coordinates
feature_json["lon"], feature_json["lat"] = ptg.coords[
0]
# Extract data pixel
pixel_ds = data.isel(**isel_kwargs)
# Get accurate timestamp from dataset
feature_json["time"] = d.center_time.strftime(
"%Y-%m-%d %H:%M:%S UTC")
feature_json["bands"] = {}
# Collect raw band values for pixel
for band in stacker.needed_bands():
ret_val = band_val = pixel_ds[band].item()
if band_val == pixel_ds[band].nodata:
feature_json["bands"][band] = "n/a"
else:
if hasattr(pixel_ds[band], 'flags_definition'):
flag_def = pixel_ds[band].flags_definition
flag_dict = mask_to_dict(flag_def, band_val)
ret_val = [
flag_def[k]['description']
for k in filter(flag_dict.get, flag_dict)
]
feature_json["bands"][band] = ret_val
for k, v in filter(
lambda kv: hasattr(kv[1], 'index_function'),
params.product.style_index.items()):
if v.index_function is None:
continue
vals_nodata = [
pixel_ds[b] == pixel_ds[b].nodata
for b in v.needed_bands
]
if any(vals_nodata):
continue
value = v.index_function(pixel_ds).item()
try:
feature_json["band_derived"][k] = value
except KeyError:
feature_json["band_derived"] = {}
feature_json["band_derived"][k] = value
if params.product.band_drill:
if pixel_ds is None:
data = stacker.data([d], skip_corrections=True)
pixel_ds = data.isel(**isel_kwargs)
drill_section = {}
for band in params.product.band_drill:
band_val = pixel_ds[band].item()
if band_val == pixel_ds[band].nodata:
drill_section[band] = "n/a"
else:
drill_section[band] = pixel_ds[band].item()
drill[idx_date.strftime("%Y-%m-%d")] = drill_section
if drill:
feature_json["time_drill"] = drill
feature_json["datasets_read"] = len(datasets)
my_flags = 0
pqdi = -1
for pqd in pq_datasets:
pqdi += 1
idx_date = (pqd.center_time +
timedelta(hours=params.product.time_zone)).date()
if idx_date == params.time:
pq_data = stacker.data([pqd], mask=True)
pq_pixel_ds = pq_data.isel(**isel_kwargs)
# PQ flags
m = params.product.pq_product.measurements[
params.product.pq_band]
flags = pq_pixel_ds[params.product.pq_band].item()
if not flags & ~params.product.info_mask:
my_flags = my_flags | flags
else:
continue
feature_json["flags"] = {}
for mk, mv in m["flags_definition"].items():
if mk in params.product.ignore_flags_info:
continue
bits = mv["bits"]
values = mv["values"]
if not isinstance(bits, int):
continue
flag = 1 << bits
if my_flags & flag:
val = values['1']
else:
val = values['0']
feature_json["flags"][mk] = val
lads = list(available_dates)
lads.sort()
feature_json["data_available_for_dates"] = [
d.strftime("%Y-%m-%d") for d in lads
]
feature_json["data_links"] = sorted(get_s3_browser_uris(datasets))
release_cube(dc)
except Exception as e:
release_cube(dc)
raise e
# --- End code section requiring datacube.
result = {
"type": "FeatureCollection",
"features": [{
"type": "Feature",
"properties": feature_json
}]
}
return json.dumps(result), 200, resp_headers(
{"Content-Type": "application/json"})
def feature_info(args):
# pylint: disable=too-many-nested-blocks, too-many-branches, too-many-statements, too-many-locals
# Parse GET parameters
params = GetFeatureInfoParameters(args)
feature_json = {}
geo_point = img_coords_to_geopoint(params.geobox, params.i, params.j)
# shrink geobox to point
# Prepare to extract feature info
if geobox_is_point(params.geobox):
geo_point_geobox = params.geobox
else:
geo_point_geobox = datacube.utils.geometry.GeoBox.from_geopolygon(
geo_point, params.geobox.resolution, crs=params.geobox.crs)
stacker = DataStacker(params.product, geo_point_geobox, params.time)
# --- Begin code section requiring datacube.
service_cfg = get_service_cfg()
with cube() as dc:
datasets = stacker.datasets(dc.index, all_time=True, point=geo_point)
pq_datasets = stacker.datasets(dc.index,
mask=True,
all_time=False,
point=geo_point)
# Taking the data as a single point so our indexes into the data should be 0,0
h_coord = service_cfg.published_CRSs[params.crsid]["horizontal_coord"]
v_coord = service_cfg.published_CRSs[params.crsid]["vertical_coord"]
s3_bucket = service_cfg.s3_bucket
s3_url = service_cfg.s3_url
isel_kwargs = {h_coord: 0, v_coord: 0}
if datasets:
dataset_date_index = {}
tz = None
for ds in datasets:
if tz is None:
crs_geo = geometry.CRS("EPSG:4326")
ptg = geo_point.to_crs(crs_geo)
tz = tz_for_coord(ptg.coords[0][0], ptg.coords[0][1])
ld = local_date(ds, tz=tz)
if ld in dataset_date_index:
dataset_date_index[ld].append(ds)
else:
dataset_date_index[ld] = [ds]
# Group datasets by time, load only datasets that match the idx_date
available_dates = dataset_date_index.keys()
ds_at_time = dataset_date_index.get(params.time, [])
_LOG.info("%d datasets, %d at target date", len(datasets),
len(ds_at_time))
if len(ds_at_time) > 0:
pixel_ds = None
data = stacker.data(
ds_at_time,
skip_corrections=True,
manual_merge=params.product.data_manual_merge,
fuse_func=params.product.fuse_func)
# Non-geographic coordinate systems need to be projected onto a geographic
# coordinate system. Why not use EPSG:4326?
# Extract coordinates in CRS
data_x = getattr(data, h_coord)
data_y = getattr(data, v_coord)
x = data_x[isel_kwargs[h_coord]].item()
y = data_y[isel_kwargs[v_coord]].item()
pt = geometry.point(x, y, params.crs)
if params.product.multi_product:
feature_json["source_product"] = "%s (%s)" % (
ds_at_time[0].type.name,
ds_at_time[0].metadata_doc["platform"]["code"])
# Project to EPSG:4326
crs_geo = geometry.CRS("EPSG:4326")
ptg = pt.to_crs(crs_geo)
# Capture lat/long coordinates
feature_json["lon"], feature_json["lat"] = ptg.coords[0]
# Extract data pixel
pixel_ds = data.isel(**isel_kwargs)
# Get accurate timestamp from dataset
feature_json["time"] = dataset_center_time(
ds_at_time[0]).strftime("%Y-%m-%d %H:%M:%S UTC")
# Collect raw band values for pixel and derived bands from styles
feature_json["bands"] = _make_band_dict(
params.product, pixel_ds, stacker.needed_bands())
derived_band_dict = _make_derived_band_dict(
pixel_ds, params.product.style_index)
if derived_band_dict:
feature_json["band_derived"] = derived_band_dict
if callable(params.product.feature_info_include_custom):
additional_data = params.product.feature_info_include_custom(
feature_json["bands"])
feature_json.update(additional_data)
my_flags = 0
for pqd in pq_datasets:
idx_date = dataset_center_time(pqd)
if idx_date == params.time:
pq_data = stacker.data([pqd], mask=True)
pq_pixel_ds = pq_data.isel(**isel_kwargs)
# PQ flags
m = params.product.pq_product.measurements[
params.product.pq_band]
flags = pq_pixel_ds[params.product.pq_band].item()
if not flags & ~params.product.info_mask:
my_flags = my_flags | flags
else:
continue
feature_json["flags"] = {}
for mk, mv in m["flags_definition"].items():
if mk in params.product.ignore_flags_info:
continue
bits = mv["bits"]
values = mv["values"]
if not isinstance(bits, int):
continue
flag = 1 << bits
if my_flags & flag:
val = values['1']
else:
val = values['0']
feature_json["flags"][mk] = val
feature_json["data_available_for_dates"] = [
d.strftime("%Y-%m-%d") for d in sorted(available_dates)
]
feature_json["data_links"] = sorted(
get_s3_browser_uris(ds_at_time, s3_url, s3_bucket))
if params.product.feature_info_include_utc_dates:
feature_json["data_available_for_utc_dates"] = sorted(
d.center_time.strftime("%Y-%m-%d") for d in datasets)
# --- End code section requiring datacube.
result = {
"type": "FeatureCollection",
"features": [{
"type": "Feature",
"properties": feature_json
}]
}
return json.dumps(result), 200, resp_headers(
{"Content-Type": "application/json"})
def get_coverage_data(req):
#pylint: disable=too-many-locals, protected-access
dc = get_cube()
datasets = []
for t in req.times:
# IF t was passed to the datasets method instead of the stacker
# constructor, we could use the one stacker.
stacker = DataStacker(req.product, req.geobox, t, bands=req.bands)
t_datasets = stacker.datasets(dc.index)
if not t_datasets:
# No matching data for this date
continue
datasets.extend(t_datasets)
if not datasets:
# TODO: Return an empty coverage file with full metadata?
extents = dc.load(dask_chunks={},
product=req.product.product.name,
geopolygon=req.geobox.extent,
time=stacker._time)
svc = get_service_cfg()
x_range = (req.minx, req.maxx)
y_range = (req.miny, req.maxy)
xname = svc.published_CRSs[req.request_crsid]["horizontal_coord"]
yname = svc.published_CRSs[req.request_crsid]["vertical_coord"]
if xname in extents:
xvals = extents[xname]
else:
xvals = numpy.linspace(x_range[0], x_range[1], num=req.width)
if yname in extents:
yvals = extents[yname]
else:
yvals = numpy.linspace(y_range[0], y_range[1], num=req.height)
if svc.published_CRSs[req.request_crsid]["vertical_coord_first"]:
nparrays = {
band: ((yname, xname),
numpy.full((len(yvals), len(xvals)),
req.product.nodata_dict[band]))
for band in req.bands
}
else:
nparrays = {
band: ((xname, yname),
numpy.full((len(xvals), len(yvals)),
req.product.nodata_dict[band]))
for band in req.bands
}
data = xarray.Dataset(nparrays, coords={
xname: xvals,
yname: yvals,
}).astype("int16")
release_cube(dc)
return data
if req.product.max_datasets_wcs > 0 and len(
datasets) > req.product.max_datasets_wcs:
raise WCS1Exception(
"This request processes too much data to be served in a reasonable amount of time."
"Please reduce the bounds of your request and try again."
"(max: %d, this request requires: %d)" %
(req.product.max_datasets_wcs, len(datasets)))
if req.format["multi-time"] and len(req.times) > 1:
# Group by solar day
group_by = datacube.api.query.query_group_by(time=req.times,
group_by='solar_day')
datasets = dc.group_datasets(datasets, group_by)
stacker = DataStacker(req.product,
req.geobox,
req.times[0],
bands=req.bands)
output = stacker.data(datasets, skip_corrections=True)
release_cube(dc)
return output
def __init__(self, args):
self.args = args
layers = get_layers()
svc_cfg = get_service_cfg()
# Argument: Coverage (required)
if "coverage" not in args:
raise WCS1Exception("No coverage specified",
WCS1Exception.MISSING_PARAMETER_VALUE,
locator="COVERAGE parameter")
self.product_name = args["coverage"]
self.product = layers.product_index.get(self.product_name)
if not self.product:
raise WCS1Exception("Invalid coverage: %s" % self.product_name,
WCS1Exception.COVERAGE_NOT_DEFINED,
locator="COVERAGE parameter")
# Argument: FORMAT (required)
if "format" not in args:
raise WCS1Exception("No FORMAT parameter supplied",
WCS1Exception.MISSING_PARAMETER_VALUE,
locator="FORMAT parameter")
if args["format"] not in svc_cfg.wcs_formats:
raise WCS1Exception("Unsupported format: %s" % args["format"],
WCS1Exception.INVALID_PARAMETER_VALUE,
locator="FORMAT parameter")
self.format = svc_cfg.wcs_formats[args["format"]]
# Argument: (request) CRS (required)
if "crs" not in args:
raise WCS1Exception("No request CRS specified",
WCS1Exception.MISSING_PARAMETER_VALUE,
locator="CRS parameter")
self.request_crsid = args["crs"]
if self.request_crsid not in svc_cfg.published_CRSs:
raise WCS1Exception("%s is not a supported CRS" %
self.request_crsid,
WCS1Exception.INVALID_PARAMETER_VALUE,
locator="CRS parameter")
self.request_crs = geometry.CRS(self.request_crsid)
# Argument: response_crs (optional)
if "response_crs" in args:
self.response_crsid = args["response_crs"]
if self.response_crsid not in svc_cfg.published_CRSs:
raise WCS1Exception("%s is not a supported CRS" %
self.request_crsid,
WCS1Exception.INVALID_PARAMETER_VALUE,
locator="RESPONSE_CRS parameter")
self.response_crs = geometry.CRS(self.response_crsid)
else:
self.response_crsid = self.request_crsid
self.response_crs = self.request_crs
# Arguments: One of BBOX or TIME is required
#if "bbox" not in args and "time" not in args:
# raise WCS1Exception("At least one of BBOX or TIME parameters must be supplied",
# WCS1Exception.MISSING_PARAMETER_VALUE,
# locator="BBOX or TIME parameter"
# )
# Argument: BBOX (technically not required if TIME supplied, but
# it's not clear to me what that would mean.)
# For WCS 1.0.0 all bboxes will be specified as minx, miny, maxx, maxy
if "bbox" not in args:
raise WCS1Exception("No BBOX parameter supplied",
WCS1Exception.MISSING_PARAMETER_VALUE,
locator="BBOX or TIME parameter")
try:
self.minx, self.miny, self.maxx, self.maxy = map(
float, args['bbox'].split(','))
except:
raise WCS1Exception("Invalid BBOX parameter",
WCS1Exception.INVALID_PARAMETER_VALUE,
locator="BBOX parameter")
# Argument: TIME
if self.product.wcs_sole_time:
self.times = [parse(self.product.wcs_sole_time).date()]
elif "time" not in args:
# CEOS treats no supplied time argument as all time.
# I'm really not sure what the right thing to do is, but QGIS wants us to do SOMETHING
self.times = [self.product.ranges["times"][-1]]
else:
# TODO: the min/max/res format option?
# It's a bit underspeced. I'm not sure what the "res" would look like.
times = args["time"].split(",")
self.times = []
if times == "now":
pass
else:
for t in times:
try:
time = parse(t).date()
if time not in self.product.ranges["time_set"]:
raise WCS1Exception(
"Time value '%s' not a valid date for coverage %s"
% (t, self.product_name),
WCS1Exception.INVALID_PARAMETER_VALUE,
locator="TIME parameter")
self.times.append(time)
except ValueError:
raise WCS1Exception(
"Time value '%s' not a valid ISO-8601 date" % t,
WCS1Exception.INVALID_PARAMETER_VALUE,
locator="TIME parameter")
self.times.sort()
if len(times) == 0:
raise WCS1Exception("No valid ISO-8601 dates",
WCS1Exception.INVALID_PARAMETER_VALUE,
locator="TIME parameter")
elif len(times) > 1 and not self.format["multi-time"]:
raise WCS1Exception(
"Cannot select more than one time slice with the %s format"
% self.format["name"],
WCS1Exception.INVALID_PARAMETER_VALUE,
locator="TIME and FORMAT parameters")
# Range constraint parameter: MEASUREMENTS
# No default is set in the DescribeCoverage, so it is required
# But QGIS wants us to work without one, so take default from config
if "measurements" in args:
bands = args["measurements"]
self.bands = []
for b in bands.split(","):
try:
self.bands.append(self.product.band_idx.band(b))
except ProductLayerException:
raise WCS1Exception("Invalid measurement '%s'" % b,
WCS1Exception.INVALID_PARAMETER_VALUE,
locator="MEASUREMENTS parameter")
if not bands:
raise WCS1Exception("No measurements supplied",
WCS1Exception.INVALID_PARAMETER_VALUE,
locator="MEASUREMENTS parameter")
elif "styles" in args and args["styles"]:
# Use style bands.
# Non-standard protocol extension.
#
# As we have correlated WCS and WMS service implementations,
# we can accept a style from WMS, and return the bands used for it.
styles = args["styles"].split(",")
if len(styles) != 1:
raise WCS1Exception("Multiple style parameters not supported")
style = self.product.style_index.get(styles[0])
if style:
self.bands = style.needed_bands
else:
self.bands = self.product.wcs_default_bands
else:
self.bands = self.product.wcs_default_bands
# Argument: EXCEPTIONS (optional - defaults to XML)
if "exceptions" in args and args[
"exceptions"] != "application/vnd.ogc.se_xml":
raise WCS1Exception("Unsupported exception format: " %
args["exceptions"],
WCS1Exception.INVALID_PARAMETER_VALUE,
locator="EXCEPTIONS parameter")
# Argument: INTERPOLATION (optional only nearest-neighbour currently supported.)
# If 'none' is supported in future, validation of width/height/res will need to change.
if "interpolation" in args and args[
"interpolation"] != "nearest neighbor":
raise WCS1Exception("Unsupported interpolation method: " %
args["interpolation"],
WCS1Exception.INVALID_PARAMETER_VALUE,
locator="INTERPOLATION parameter")
if "width" in args:
if "height" not in args:
raise WCS1Exception(
"WIDTH parameter supplied without HEIGHT parameter",
WCS1Exception.MISSING_PARAMETER_VALUE,
locator="WIDTH/HEIGHT parameters")
if "resx" in args or "resy" in args:
raise WCS1Exception(
"Specify WIDTH/HEIGHT parameters OR RESX/RESY parameters - not both",
WCS1Exception.MISSING_PARAMETER_VALUE,
locator="RESX/RESY/WIDTH/HEIGHT parameters")
try:
self.height = int(args["height"])
if self.height < 1:
raise ValueError()
except ValueError:
raise WCS1Exception(
"HEIGHT parameter must be a positive integer",
WCS1Exception.INVALID_PARAMETER_VALUE,
locator="HEIGHT parameter")
try:
self.width = int(args["width"])
if self.width < 1:
raise ValueError()
except ValueError:
raise WCS1Exception(
"WIDTH parameter must be a positive integer",
WCS1Exception.INVALID_PARAMETER_VALUE,
locator="WIDTH parameter")
self.resx = (self.maxx - self.minx) / self.width
self.resy = (self.maxy - self.miny) / self.height
elif "resx" in args:
if "resy" not in args:
raise WCS1Exception(
"RESX parameter supplied without RESY parameter",
WCS1Exception.MISSING_PARAMETER_VALUE,
locator="RESX/RESY parameters")
if "height" in args:
raise WCS1Exception(
"Specify WIDTH/HEIGHT parameters OR RESX/RESY parameters - not both",
WCS1Exception.MISSING_PARAMETER_VALUE,
locator="RESX/RESY/WIDTH/HEIGHT parameters")
try:
self.resx = float(args["resx"])
if self.resx <= 0.0:
raise ValueError(0)
except ValueError:
raise WCS1Exception("RESX parameter must be a positive number",
WCS1Exception.INVALID_PARAMETER_VALUE,
locator="RESX parameter")
try:
self.resy = float(args["resy"])
if self.resy <= 0.0:
raise ValueError(0)
except ValueError:
raise WCS1Exception("RESY parameter must be a positive number",
WCS1Exception.INVALID_PARAMETER_VALUE,
locator="RESY parameter")
self.width = (self.maxx - self.minx) / self.resx
self.height = (self.maxy - self.miny) / self.resy
self.width = int(self.width + 0.5)
self.height = int(self.height + 0.5)
elif "height" in args:
raise WCS1Exception(
"HEIGHT parameter supplied without WIDTH parameter",
WCS1Exception.MISSING_PARAMETER_VALUE,
locator="WIDTH/HEIGHT parameters")
elif "resy" in args:
raise WCS1Exception(
"RESY parameter supplied without RESX parameter",
WCS1Exception.MISSING_PARAMETER_VALUE,
locator="RESX/RESY parameters")
else:
raise WCS1Exception(
"You must specify either the WIDTH/HEIGHT parameters or RESX/RESY",
WCS1Exception.MISSING_PARAMETER_VALUE,
locator="RESX/RESY/WIDTH/HEIGHT parameters")
self.extent = geometry.polygon([(self.minx, self.miny),
(self.minx, self.maxy),
(self.maxx, self.maxy),
(self.maxx, self.miny),
(self.minx, self.miny)],
self.request_crs)
xscale = (self.maxx - self.minx) / self.width
yscale = (self.miny - self.maxy) / self.height
trans_aff = Affine.translation(self.minx, self.maxy)
scale_aff = Affine.scale(xscale, yscale)
self.affine = trans_aff * scale_aff
self.geobox = geometry.GeoBox(self.width, self.height, self.affine,
self.request_crs)
def get_crsids(svc=None):
if not svc:
svc = get_service_cfg()
return svc.published_CRSs.keys()
def activated(self):
svc_cfg = get_service_cfg()
return getattr(svc_cfg, self.service)
def create_multiprod_range_entry(dc, product, crses):
conn = get_sqlconn(dc)
txn = conn.begin()
if isinstance(product, dict):
prodids = [p.id for p in product["products"]]
wms_name = product["name"]
else:
prodids = [p.id for p in product.products]
wms_name = product.name
# Attempt to insert row
conn.execute(
"""
INSERT INTO wms.multiproduct_ranges
(wms_product_name,lat_min,lat_max,lon_min,lon_max,dates,bboxes)
VALUES
(%(p_id)s, 0, 0, 0, 0, %(empty)s, %(empty)s)
ON CONFLICT (wms_product_name) DO NOTHING
""", {
"p_id": wms_name,
"empty": Json("")
})
# Update extents
conn.execute(
"""
UPDATE wms.multiproduct_ranges
SET (lat_min,lat_max,lon_min,lon_max) =
(wms_get_min(%(p_prodids)s, 'lat'), wms_get_max(%(p_prodids)s, 'lat'), wms_get_min(%(p_prodids)s, 'lon'), wms_get_max(%(p_prodids)s, 'lon'))
WHERE wms_product_name=%(p_id)s
""", {
"p_id": wms_name,
"p_prodids": prodids
})
# Create sorted list of dates
conn.execute(
"""
WITH sorted
AS (SELECT to_jsonb(array_agg(dates.d))
AS dates
FROM (SELECT DISTINCT to_date(metadata::json->'extent'->>'center_dt', 'YYYY-MM-DD')
AS d
FROM agdc.dataset
WHERE dataset_type_ref = any (%(p_prodids)s)
AND archived IS NULL
ORDER BY d) dates)
UPDATE wms.multiproduct_ranges
SET dates=sorted.dates
FROM sorted
WHERE wms_product_name=%(p_id)s
""", {
"p_id": wms_name,
"p_prodids": prodids
})
# calculate bounding boxes
results = list(
conn.execute(
"""
SELECT lat_min,lat_max,lon_min,lon_max
FROM wms.multiproduct_ranges
WHERE wms_product_name=%(p_id)s
""", {"p_id": wms_name}))
r = results[0]
epsg4326 = datacube.utils.geometry.CRS("EPSG:4326")
box = datacube.utils.geometry.box(float(r[2]), float(r[0]), float(r[3]),
float(r[1]), epsg4326)
svc = get_service_cfg()
conn.execute(
"""
UPDATE wms.multiproduct_ranges
SET bboxes = %s::jsonb
WHERE wms_product_name=%s
""",
Json({
crsid: jsonise_bbox(box.to_crs(crs).boundingbox)
for crsid, crs in get_crses(svc).items()
}), wms_name)
txn.commit()
conn.close()
return
def _get_geobox_xy(args, crs):
if get_service_cfg().published_CRSs[crs.crs_str]["vertical_coord_first"]:
miny, minx, maxy, maxx = map(float, args['bbox'].split(','))
else:
minx, miny, maxx, maxy = map(float, args['bbox'].split(','))
return minx, miny, maxx, maxy
def determine_product_ranges(dc, dc_product, extractor):
# pylint: disable=too-many-locals, too-many-branches, too-many-statements, protected-access
start = datetime.now()
print("Product: ", dc_product.name)
r = {
"lat": {
"min": None,
"max": None
},
"lon": {
"min": None,
"max": None
},
}
sub_r = {}
time_set = set()
svc = get_service_cfg()
print("OK, Let's do it")
crsids = get_crsids(svc)
calculate_extent = not svc.use_default_extent
extents = {crsid: None for crsid in crsids}
crses = get_crses(svc)
ds_count = 0
for ds in dc.find_datasets(product=dc_product.name):
print("Processing a dataset", ds.id)
loc_date = local_date(ds)
time_set.add(loc_date)
if calculate_extent or extractor is not None:
if extractor is not None:
path = extractor(ds)
if path not in sub_r:
sub_r[path] = {
"lat": {
"min": None,
"max": None,
},
"lon": {
"min": None,
"max": None,
},
"time_set": set(),
"extents": {crsid: None
for crsid in crsids}
}
sub_r[path]["lat"]["min"] = accum_min(
sub_r[path]["lat"]["min"], ds.metadata.lat.begin)
sub_r[path]["lat"]["max"] = accum_max(
sub_r[path]["lat"]["max"], ds.metadata.lat.end)
sub_r[path]["lon"]["min"] = accum_min(
sub_r[path]["lon"]["min"], ds.metadata.lon.begin)
sub_r[path]["lon"]["max"] = accum_max(
sub_r[path]["lon"]["max"], ds.metadata.lon.end)
else:
path = None
r["lat"]["min"] = accum_min(r["lat"]["min"], ds.metadata.lat.begin)
r["lat"]["max"] = accum_max(r["lat"]["max"], ds.metadata.lat.end)
r["lon"]["min"] = accum_min(r["lon"]["min"], ds.metadata.lon.begin)
r["lon"]["max"] = accum_max(r["lon"]["max"], ds.metadata.lon.end)
if path is not None:
sub_r[path]["time_set"].add(loc_date)
for crsid in crsids:
print("Working with CRS", crsid)
crs = crses[crsid]
ext = ds.extent
if ext.crs != crs:
ext = ext.to_crs(crs)
cvx_ext = ext.convex_hull
if cvx_ext != ext:
print("INFO: Dataset", ds.id, "CRS", crsid,
"extent is not convex.")
if extents[crsid] is None:
extents[crsid] = cvx_ext
else:
if not extents[crsid].is_valid:
print("WARNING: Extent Union for", ds.id, "CRS", crsid,
"is not valid")
if not cvx_ext.is_valid:
print("WARNING: Extent for CRS", crsid, "is not valid")
union = extents[crsid].union(cvx_ext)
if union._geom is not None:
extents[crsid] = union
else:
print("WARNING: Dataset", ds.id, "CRS", crsid,
"union topology exception, ignoring union")
if path is not None:
if sub_r[path]["extents"][crsid] is None:
sub_r[path]["extents"][crsid] = cvx_ext
else:
sub_r[path]["extents"][crsid] = sub_r[path]["extents"][
crsid].union(cvx_ext)
ds_count += 1
# Default extent usage
if not calculate_extent and ds_count > 0:
for crsid in crsids:
crs = crses[crsid]
default = datacube.utils.geometry.Geometry(DEFAULT_GEOJSON,
crs=DEFAULT_GEOJSON_CRS)
extents[crsid] = default.to_crs(crs)
r["times"] = sorted(time_set)
r["time_set"] = time_set
r["bboxes"] = {
crsid: jsonise_bbox(extents[crsid].boundingbox)
for crsid in crsids
}
print("LATS: ", r["lat"], " LONS: ", r["lon"])
if extractor is not None:
for path in sub_r.keys():
sub_r[path]["times"] = sorted(sub_r[path]["time_set"])
sub_r[path]["bboxes"] = {
crsid: jsonise_bbox(sub_r[path]["extents"][crsid].boundingbox)
for crsid in crsids
}
del sub_r[path]["extents"]
r["sub_products"] = sub_r
end = datetime.now()
print("Scanned %d datasets in %d seconds" % (ds_count,
(end - start).seconds))
return r