def get_results(**kwargs):
ids = None
uuids = None
if kwargs.get('resultID'):
ids = [int(i) for i in kwargs.get('resultID').split(',')]
if kwargs.get('resultUUID'):
uuids = kwargs.get('resultUUID').split(',')
result_type = kwargs.get('resultType')
act_id = kwargs.get('actionID')
sf_id = kwargs.get('samplingFeatureID')
site_id = kwargs.get('siteID')
var_id = kwargs.get('variableID')
sim_id = kwargs.get('simulationID')
Results = READ.getResults(ids=ids,
type=result_type,
uuids=uuids,
actionid=act_id,
simulationid=sim_id,
sfid=sf_id,
variableid=var_id,
siteid=site_id)
Results_list = []
for res in Results:
Serializer = ResultSerializer(result_creator(res))
if res.FeatureActionObj.SamplingFeatureObj.SamplingFeatureTypeCV == 'Specimen':
Serializer.fields['FeatureAction'].fields[
'SamplingFeature'] = SpecimensSerializer()
if res.FeatureActionObj.SamplingFeatureObj.SamplingFeatureTypeCV == 'Site':
Serializer.fields['FeatureAction'].fields[
'SamplingFeature'] = SitesSerializer()
Results_list.append(Serializer.data)
return Results_list
def get_samplingfeaturedatasets(**kwargs):
ids = None
codes = None
uuids = None
if kwargs.get('samplingFeatureID'):
ids = [int(i) for i in kwargs.get('samplingFeatureID').split(',')]
if kwargs.get('samplingFeatureUUID'):
uuids = kwargs.get('samplingFeatureUUID').split(',')
if kwargs.get('samplingFeatureCode'):
codes = kwargs.get('samplingFeatureCode').split(',')
sf_type = kwargs.get('samplingFeatureType')
ds_type = kwargs.get('dataSetType')
dataSetResults = READ.getSamplingFeatureDatasets(ids=ids,
codes=codes,
uuids=uuids,
dstype=ds_type,
sftype=sf_type)
dsr_list = []
for dsr in dataSetResults:
SFDSerializer = SamplingFeatureDatasetSerializer(
samplingfeaturedatasets_creator(dsr))
if dsr.SamplingFeatureTypeCV == 'Specimen':
SFDSerializer = SpecimensDatasetSerializer(
samplingfeaturedatasets_creator(dsr))
SFDSerializer.fields['Datasets'].child.fields[
'Results'].child.fields['FeatureAction'].fields[
'SamplingFeature'] = SpecimensSerializer() # noqa
if dsr.related_features.SamplingFeatureTypeCV == 'Site':
SFDSerializer.fields['related_features'] = SitesSerializer()
if dsr.SamplingFeatureTypeCV == 'Site':
SFDSerializer = SitesDatasetSerializer(
samplingfeaturedatasets_creator(dsr))
SFDSerializer.fields['Datasets'].child.fields[
'Results'].child.fields['FeatureAction'].fields[
'SamplingFeature'] = SitesSerializer() # noqa
dsr_list.append(SFDSerializer.data)
return dsr_list
def get_datasetresults(**kwargs):
db_check()
ids = kwargs.get('datasetID')
codes = kwargs.get('datasetCode')
uuids = kwargs.get('datasetUUID')
if ids:
ids = [int(i) for i in kwargs.get('datasetID').split(',')]
if uuids:
uuids = kwargs.get('datasetUUID').split(',')
if codes:
codes = kwargs.get('datasetCode').split(',')
ds_type = kwargs.get('datasetType')
dataSetResults = READ.getDataSetsResults(ids=ids,
codes=codes,
uuids=uuids,
dstype=ds_type)
dsr_list = []
for dsr in dataSetResults:
dsr_dct = get_vals(dsr)
ds_dct = get_vals(dsr.DataSetObj)
res_dct = result_creator(dsr.ResultObj)
dsr_dct.update({'Result': res_dct, 'DataSet': ds_dct})
Serializer = DataSetsResultsSerializer(dsr_dct)
if dsr.ResultObj.FeatureActionObj.SamplingFeatureObj.SamplingFeatureTypeCV == 'Specimen':
Serializer.fields['Result'].fields['FeatureAction'].fields[
'SamplingFeature'] = SpecimensSerializer()
if dsr.ResultObj.FeatureActionObj.SamplingFeatureObj.SamplingFeatureTypeCV == 'Site':
Serializer.fields['Result'].fields['FeatureAction'].fields[
'SamplingFeature'] = SitesSerializer()
dsr_list.append(Serializer.data)
return dsr_list
def get_samplingfeatures(**kwargs):
db_check()
ids = None
codes = None
uuids = None
if kwargs.get('samplingFeatureID'):
ids = [int(i) for i in kwargs.get('samplingFeatureID').split(',')]
if kwargs.get('samplingFeatureUUID'):
uuids = kwargs.get('samplingFeatureUUID').split(',')
if kwargs.get('samplingFeatureCode'):
codes = kwargs.get('samplingFeatureCode').split(',')
sf_type = kwargs.get('samplingFeatureType')
res = kwargs.get('results')
if type(res) in [str, unicode]:
if res.upper() == 'TRUE':
res = True
else:
res = False
sampling_features = READ.getSamplingFeatures(ids=ids,
codes=codes,
uuids=uuids,
type=sf_type,
wkt=None,
results=res)
sf_list = []
for sf in sampling_features:
sf_dct = get_vals(sf)
serialized = SamplingFeatureSerializer(sf_dct).data
if sf.SamplingFeatureTypeCV == 'Site':
serialized = SitesSerializer(sf_dct).data
if sf.SamplingFeatureTypeCV == 'Specimen':
serialized = SpecimensSerializer(sf_dct).data
sf_list.append(serialized)
return sf_list