Source code for rook.processes.wps_average_dim

import logging
import os

from pywps import FORMATS, ComplexOutput, Format, LiteralInput, Process
from pywps.app.Common import Metadata

from ..director import wrap_director
from ..utils.average_utils import run_average_by_dim
from ..utils.input_utils import parse_wps_input
from ..utils.metalink_utils import build_metalink
from ..utils.response_utils import populate_response

LOGGER = logging.getLogger()


[docs] class AverageByDimension(Process): def __init__(self): inputs = [ LiteralInput( "collection", "Collection", abstract="A dataset identifier or list of comma separated identifiers. " "Example: c3s-cmip5.output1.ICHEC.EC-EARTH.historical.day.atmos.day.r1i1p1.tas.latest", data_type="string", min_occurs=1, max_occurs=1, ), LiteralInput( "dims", "Dimensions", abstract="Dimensions used for aggregation. Example: level", allowed_values=[ "time", "level", "latitude", "longitude", "realization", ], data_type="string", min_occurs=1, max_occurs=4, ), LiteralInput( "pre_checked", "Pre-Checked", data_type="boolean", abstract="Use checked data only.", default="0", min_occurs=1, max_occurs=1, ), LiteralInput( "apply_fixes", "Apply Fixes", data_type="boolean", abstract="Apply fixes to datasets.", default="1", min_occurs=1, max_occurs=1, ), ] outputs = [ ComplexOutput( "output", "METALINK v4 output", abstract="Metalink v4 document with references to NetCDF files.", as_reference=True, supported_formats=[FORMATS.META4], ), ComplexOutput( "prov", "Provenance", abstract="Provenance document using W3C standard.", as_reference=True, supported_formats=[FORMATS.JSON], ), ComplexOutput( "prov_plot", "Provenance Diagram", abstract="Provenance document as diagram.", as_reference=True, supported_formats=[ Format("image/png", extension=".png", encoding="base64") ], ), ] super().__init__( self._handler, identifier="average", title="Average by Dimensions", abstract="Run averaging by dimensions on climate model data.", metadata=[ Metadata("DAOPS", "https://github.com/roocs/daops"), ], version="1.0", inputs=inputs, outputs=outputs, store_supported=True, status_supported=True, ) def _handler(self, request, response): # show me the environment used by the process in debug mode LOGGER.debug(f"Environment used in average: {os.environ}") # from clisops.exceptions import InvalidParameterValue, MissingParameterValue collection = parse_wps_input( request.inputs, "collection", as_sequence=True, must_exist=True ) inputs = { "collection": collection, "output_dir": self.workdir, "apply_fixes": parse_wps_input(request.inputs, "apply_fixes", default=True), "pre_checked": parse_wps_input( request.inputs, "pre_checked", default=False ), "dims": parse_wps_input( request.inputs, "dims", as_sequence=True, default=None ), } # Let the director manage the processing or redirection to original files director = wrap_director(collection, inputs, run_average_by_dim) ml4 = build_metalink( "average-dim-result", "Averaging by dimension result as NetCDF files.", self.workdir, director.output_uris, ) populate_response(response, "average", self.workdir, inputs, collection, ml4) return response