def _handler(self, request, response):
response.update_status("starting ...", 0)
# build esgf search constraints
constraints = dict(
model=request.inputs['model'][0].data,
experiment=request.inputs['experiment'][0].data,
time_frequency='mon',
cmor_table='Amon',
ensemble=request.inputs['ensemble'][0].data,
)
# generate recipe
response.update_status("generate recipe ...", 10)
recipe_file, config_file = runner.generate_recipe(
workdir=self.workdir,
diag='py_demo',
constraints=constraints,
start_year=request.inputs['start_year'][0].data,
end_year=request.inputs['end_year'][0].data,
output_format='png',
)
# run diag
response.update_status("running diag ...", 20)
logfile, plot_dir, work_dir = runner.run(recipe_file, config_file)
# recipe output
response.outputs['recipe'].output_format = FORMATS.TEXT
response.outputs['recipe'].file = recipe_file
# log output
response.outputs['log'].output_format = FORMATS.TEXT
response.outputs['log'].file = logfile
# result plot
response.update_status("collect output plot ...", 90)
response.outputs['output'].output_format = Format('application/png')
response.outputs['output'].file = runner.get_output(
plot_dir,
path_filter=os.path.join('diagnostic1', 'script1'),
name_filter="CMIP5*",
output_format="png")
response.outputs['data'].output_format = FORMATS.NETCDF
response.outputs['data'].file = runner.get_output(
work_dir,
path_filter=os.path.join('diagnostic1', 'script1'),
name_filter="CMIP5*",
output_format="nc")
response.update_status("done.", 100)
return response
def get_outputs(self, result, response):
# result plot
response.update_status("collecting output ...", 80)
response.outputs['plot'].output_format = Format('application/png')
response.outputs['plot'].file = runner.get_output(
result['plot_dir'],
path_filter=os.path.join('diagnostic1', 'script1'),
name_filter="CMIP5*",
output_format="png")
response.outputs['data'].output_format = FORMATS.NETCDF
response.outputs['data'].file = runner.get_output(
result['plot_dir'],
path_filter=os.path.join('diagnostic1', 'script1'),
name_filter="CMIP5*",
output_format="nc")
def get_outputs(self, result, response):
# result plot
response.update_status("collecting output ...", 80)
response.outputs['data'].output_format = Format('application/png')
response.outputs['data'].file = runner.get_output(
result['work_dir'],
path_filter=os.path.join('diagnostic1', 'script1'),
name_filter="CMIP5*",
output_format="nc")
response.outputs['xlsx_data'].output_format = Format(
'application/vnd.ms-excel')
response.outputs['xlsx_data'].file = runner.get_output(
result['work_dir'],
path_filter=os.path.join('diagnostic1', 'script1'),
name_filter="CMIP5*",
output_format="xlsx")
def get_outputs(self, result, response):
for plot in self.plotlist:
key = '{}_plot'.format(plot.lower())
response.outputs[key].output_format = Format('application/png')
response.outputs[key].file = runner.get_output(
result['plot_dir'],
path_filter=os.path.join('dry_days', 'consecutive_dry_days'),
name_filter="*{}".format(plot),
output_format="png")
response.outputs['data_drymax'].output_format = FORMATS.NETCDF
response.outputs['data_drymax'].file = runner.get_output(
result['work_dir'],
path_filter=os.path.join('dry_days', 'consecutive_dry_days'),
name_filter="*drymax",
output_format="nc")
response.outputs['data_dryfreq'].output_format = FORMATS.NETCDF
response.outputs['data_dryfreq'].file = runner.get_output(
result['work_dir'],
path_filter=os.path.join('dry_days', 'consecutive_dry_days'),
name_filter="*dryfreq",
output_format="nc")
def get_outputs(self, result, response):
# result plot
response.update_status("collecting output ...", 80)
response.outputs['plot'].output_format = Format('application/eps')
response.outputs['plot'].file = runner.get_output(
result['plot_dir'],
path_filter=os.path.join('EnsClus', 'main'),
name_filter="anomalies*",
output_format="png")
response.outputs['ens_extreme'].output_format = FORMATS.NETCDF
response.outputs['ens_extreme'].file = runner.get_output(
result['work_dir'],
path_filter=os.path.join('EnsClus', 'main'),
name_filter="ens_extreme*",
output_format="nc")
response.outputs['ens_climatologies'].output_format = FORMATS.NETCDF
response.outputs['ens_climatologies'].file = runner.get_output(
result['work_dir'],
path_filter=os.path.join('EnsClus', 'main'),
name_filter="ens_anomalies*",
output_format="nc")
response.outputs['ens_anomalies'].output_format = FORMATS.NETCDF
response.outputs['ens_anomalies'].file = runner.get_output(
result['work_dir'],
path_filter=os.path.join('EnsClus', 'main'),
name_filter="ens_anomalies*",
output_format="nc")
response.outputs['statistics'].output_format = FORMATS.TEXT
response.outputs['statistics'].file = runner.get_output(
result['work_dir'],
path_filter=os.path.join('EnsClus', 'main'),
name_filter="statistics*",
output_format="txt")
def _handler(self, request, response):
response.update_status("starting ...", 0)
# build esgf search constraints
constraints = dict(
model=request.inputs['model'][0].data,
experiment=request.inputs['experiment'][0].data,
time_frequency='mon',
cmor_table='Amon',
ensemble=request.inputs['ensemble'][0].data,
)
# generate namelist
response.update_status("generate namelist ...", 10)
recipe_file, config_file = runner.generate_recipe(
diag='perfmetrics',
constraints=constraints,
start_year=request.inputs['start_year'][0].data,
end_year=request.inputs['end_year'][0].data,
output_format='pdf',
workdir=self.workdir,
)
# run diag
response.update_status("running diag ...", 20)
logfile, output_dir = runner.run(recipe_file, config_file)
# namelist output
response.outputs['namelist'].output_format = FORMATS.TEXT
response.outputs['namelist'].file = recipe_file
# log output
response.outputs['log'].output_format = FORMATS.TEXT
response.outputs['log'].file = logfile
# result plot
response.update_status("collect output plot ...", 90)
response.outputs['output'].output_format = Format('application/pdf')
response.outputs['output'].file = runner.get_output(
output_dir,
path_filter=os.path.join('ta850', 'cycle'),
name_filter="ta_cycle_monthlyclim__Glob",
output_format="pdf")
response.update_status("done.", 100)
return response