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from tests.utils import resource_file
from owslib.wps import WebProcessingService
def test_wps_describeprocess_usgs():
# Initialize WPS client
wps = WebProcessingService('http://cida.usgs.gov/gdp/process/WebProcessingService', skip_caps=True)
# Execute fake invocation of DescribeProcess operation by parsing cached response from
xml = open(resource_file('wps_USGSDescribeProcess.xml'), 'rb').read()
process = wps.describeprocess('gov.usgs.cida.gdp.wps.algorithm.FeatureWeightedGridStatisticsAlgorithm', xml=xml)
# Check process description
assert process.identifier == 'gov.usgs.cida.gdp.wps.algorithm.FeatureWeightedGridStatisticsAlgorithm'
assert process.title == 'Feature Weighted Grid Statistics'
assert process.abstract == 'This algorithm generates area weighted statistics of a gridded dataset for a set of vector polygon features. Using the bounding-box that encloses the feature data and the time range, if provided, a subset of the gridded dataset is requested from the remote gridded data server. Polygon representations are generated for cells in the retrieved grid. The polygon grid-cell representations are then projected to the feature data coordinate reference system. The grid-cells are used to calculate per grid-cell feature coverage fractions. Area-weighted statistics are then calculated for each feature using the grid values and fractions as weights. If the gridded dataset has a time range the last step is repeated for each time step within the time range or all time steps if a time range was not supplied.' # NOQA
# Check process inputs
# Expected Input:
# Process input:
# identifier=FEATURE_COLLECTION, title=Feature Collection, abstract=A feature collection encoded as a WFS request or one of the supported GML profiles., data type=ComplexData # NOQA
# Supported Value: mimeType=text/xml, encoding=UTF-8, schema=http://schemas.opengis.net/gml/2.0.0/feature.xsd
# Supported Value: mimeType=text/xml, encoding=UTF-8, schema=http://schemas.opengis.net/gml/2.1.1/feature.xsd
# Supported Value: mimeType=text/xml, encoding=UTF-8, schema=http://schemas.opengis.net/gml/2.1.2/feature.xsd
# Supported Value: mimeType=text/xml, encoding=UTF-8, schema=http://schemas.opengis.net/gml/2.1.2.1/feature.xsd
# Supported Value: mimeType=text/xml, encoding=UTF-8, schema=http://schemas.opengis.net/gml/3.0.0/base/feature.xsd
# Supported Value: mimeType=text/xml, encoding=UTF-8, schema=http://schemas.opengis.net/gml/3.0.1/base/feature.xsd
# Supported Value: mimeType=text/xml, encoding=UTF-8, schema=http://schemas.opengis.net/gml/3.1.0/base/feature.xsd
# Supported Value: mimeType=text/xml, encoding=UTF-8, schema=http://schemas.opengis.net/gml/3.1.1/base/feature.xsd
# Supported Value: mimeType=text/xml, encoding=UTF-8, schema=http://schemas.opengis.net/gml/3.2.1/base/feature.xsd
# Default Value: mimeType=text/xml, encoding=UTF-8, schema=http://schemas.opengis.net/gml/2.0.0/feature.xsd
# minOccurs=1, maxOccurs=1
# Process input:
# identifier=DATASET_URI, title=Dataset URI, abstract=The base data web service URI for the dataset of interest., data type=anyURI # NOQA
# Any value allowed
# Default Value: None
# minOccurs=1, maxOccurs=1
# Process input:
# identifier=DATASET_ID, title=Dataset Identifier, abstract=The unique identifier for the data type or variable of interest., data type=string # NOQA
# Any value allowed
# Default Value: None
# minOccurs=1, maxOccurs=2147483647
# Process input:
# identifier=REQUIRE_FULL_COVERAGE, title=Require Full Coverage, abstract=If turned on, the service will require that the dataset of interest fully cover the polygon analysis zone data., data type=boolean # NOQA
# Any value allowed
# Default Value: True
# minOccurs=1, maxOccurs=1
# Process input:
# identifier=TIME_START, title=Time Start, abstract=The date to begin analysis., data type=dateTime
# Any value allowed
# Default Value: None
# minOccurs=0, maxOccurs=1
# Process input:
# identifier=TIME_END, title=Time End, abstract=The date to end analysis., data type=dateTime
# Any value allowed
# Default Value: None
# minOccurs=0, maxOccurs=1
# Process input:
# identifier=FEATURE_ATTRIBUTE_NAME, title=Feature Attribute Name, abstract=The attribute that will be used to label column headers in processing output., data type=string # NOQA
# Any value allowed
# Default Value: None
# minOccurs=1, maxOccurs=1
# Process input:
# identifier=DELIMITER, title=Delimiter, abstract=The delimiter that will be used to separate columns in the processing output., data type=string # NOQA
# Allowed Value: COMMA
# Allowed Value: TAB
# Allowed Value: SPACE
# Default Value: COMMA
# minOccurs=1, maxOccurs=1
# Process input:
# identifier=STATISTICS, title=Statistics, abstract=Statistics that will be returned for each feature in the processing output., data type=string # NOQA
# Allowed Value: MEAN
# Allowed Value: MINIMUM
# Allowed Value: MAXIMUM
# Allowed Value: VARIANCE
# Allowed Value: STD_DEV
# Allowed Value: WEIGHT_SUM
# Allowed Value: COUNT
# Default Value: None
# minOccurs=1, maxOccurs=7
# Process input:
# identifier=GROUP_BY, title=Group By, abstract=If multiple features and statistics are selected, this will change whether the processing output columns are sorted according to statistics or feature attributes., data type=string # NOQA
# Allowed Value: STATISTIC
# Allowed Value: FEATURE_ATTRIBUTE
# Default Value: None
# minOccurs=1, maxOccurs=1
# Process input:
# identifier=SUMMARIZE_TIMESTEP, title=Summarize Timestep, abstract=If selected, processing output will include columns with summarized statistics for all feature attribute values for each timestep, data type=boolean # NOQA
# Any value allowed
# Default Value: True
# minOccurs=0, maxOccurs=1
# Process input:
# identifier=SUMMARIZE_FEATURE_ATTRIBUTE, title=Summarize Feature Attribute, abstract=If selected, processing output will include a final row of statistics summarizing all timesteps for each feature attribute value, data type=boolean # NOQA
# Any value allowed
# Default Value: True
# minOccurs=0, maxOccurs=1
assert len(process.dataInputs) == 12
input = process.dataInputs[0]
assert input.identifier == 'FEATURE_COLLECTION'
assert input.dataType == 'ComplexData'
# Expected Output:
# identifier=OUTPUT, title=Output File, abstract=A delimited text file containing requested process output., data type=ComplexData # NOQA
# Supported Value: mimeType=text/csv, encoding=UTF-8, schema=None
# Default Value: mimeType=text/csv, encoding=UTF-8, schema=None
# reference=None, mimeType=None
# Check process outputs
assert len(process.processOutputs) == 1
output = process.processOutputs[0]
assert output.identifier == 'OUTPUT'
assert output.dataType == 'ComplexData'
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