def get_filter_fes(filters, logical_operator=And):
"""Create filter encoding specification (OGC FES) object based on given
filters
:param Tupple.<dict> filters: tupple of filters
:param logical_operator: owslib.fes.And or owslib.fes.Or
:return: filter encoding specification
:rtype: owslib.fes.AND
"""
conditions = []
filter_request = None
for myfilter in filters:
value = myfilter['value']
if myfilter['operator'] == '=':
conditions.append(PropertyIsEqualTo(myfilter['attribute'], value))
elif myfilter['operator'] == '!=':
conditions.append(
PropertyIsNotEqualTo(myfilter['attribute'], value))
elif myfilter['operator'] == '~':
conditions.append(PropertyIsLike(myfilter['attribute'], value))
elif myfilter['operator'] == '>':
conditions.append(
PropertyIsGreaterThan(myfilter['attribute'], value))
elif myfilter['operator'] == '>=':
conditions.append(
PropertyIsGreaterThanOrEqualTo(myfilter['attribute'], value))
elif myfilter['operator'] == '<':
conditions.append(PropertyIsLessThan(myfilter['attribute'], value))
elif myfilter['operator'] == '<=':
conditions.append(
PropertyIsLessThanOrEqualTo(myfilter['attribute'], value))
elif myfilter['operator'] == 'BETWEEN':
conditions.append(
PropertyIsBetween(myfilter['attribute'], *value.split(',')))
elif myfilter['operator'] == 'BBOX':
bbox_filter = BBox(myfilter['value'], 'EPSG:3857')
conditions.append(bbox_filter)
elif myfilter['operator'] == 'IN':
new_filters = [{
'value': value,
'operator': '=',
'attribute': myfilter['attribute']}\
for value in value.split(',')]
conditions.append(get_filter_fes(new_filters, logical_operator=Or))
if len(conditions) > 1:
filter_request = logical_operator(conditions)
else:
filter_request = conditions[0]
return filter_request
def _get_input_files(self):
"""Download input files to local cache.
Based on the product_site_code and product_variables attributes, query geoserver to find all public files
relevant to the product, download them to the handler's temporary directory. Set the handler's
input_file_variables attributes to a dict mapping file dest_path to a list of variables in the file.
"""
filter_list = [
PropertyIsEqualTo(propertyname='site_code',
literal=self.product_site_code),
PropertyIsEqualTo(propertyname='file_version', literal='1'),
PropertyIsEqualTo(propertyname='realtime', literal='false'),
PropertyIsNotEqualTo(propertyname='data_category',
literal='Biogeochem_profiles'),
PropertyIsNotEqualTo(propertyname='data_category',
literal='CTD_profiles'),
PropertyIsNotEqualTo(propertyname='data_category',
literal='aggregated_timeseries')
]
wfs_features = self.get_wfs_features(filter_list,
propertyname=['url', 'variables'])
if not wfs_features:
raise MissingFileError(
"No input files found for site '{self.product_site_code}'".
format(self=self))
self.input_file_variables = {
f['properties']['url']: f['properties']['variables'].split(', ')
for f in wfs_features
}
self.input_file_collection = RemotePipelineFileCollection(
self.input_file_variables.keys())
# Download input files to local cache.
self.logger.info("Downloading {n} input files".format(
n=len(self.input_file_collection)))
self.input_file_collection.download(self._upload_store_runner.broker,
self.temp_dir)
def filter_comp_not_equal_to(self, **kwargs):
return PropertyIsNotEqualTo(**kwargs)