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Fixed getSamplingFeatureDatasets issue #130#131

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Merged
lsetiawan merged 2 commits into from
Dec 13, 2017
Merged

Fixed getSamplingFeatureDatasets issue #130 #131

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2b08624
Fixed getSamplingFeatureDatasets issue #130
Elijahwalkerwest Dec 8, 2017
9592471
Fix getSamplingFeatureDataset
lsetiawan Dec 13, 2017
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61 changes: 41 additions & 20 deletions odm2api/ODM2/services/readService.py
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Original file line numberDiff line numberDiff line change
Expand Up@@ -74,9 +74,11 @@ def __init__(self, affiliation, person, org):

class SamplingFeatureDataSet():
datasets={}
def __init__(self, samplingfeature, datasetresults):
related_features={}
def __init__(self, samplingfeature, datasetresults, relatedfeatures):
sf = samplingfeature

self.SamplingFeature = sf
self.SamplingFeatureID = sf.SamplingFeatureID
self.SamplingFeatureUUID = sf.SamplingFeatureUUID
self.SamplingFeatureTypeCV = sf.SamplingFeatureTypeCV
Expand All@@ -88,23 +90,35 @@ def __init__(self, samplingfeature, datasetresults):
self.ElevationDatumCV = sf.ElevationDatumCV
self.FeatureGeometryWKT = sf.FeatureGeometryWKT
self.assignDatasets(datasetresults)
self.assignRelatedFeatures(relatedfeatures)

print(self.datasets)

print(self.datasets)

def assignDatasets(self, datasetresults):
for dsr in datasetresults:
if dsr.DataSetObj not in self.datasets:
#if the dataset is not in the dictionary, add it and the first result
self.datasets[dsr.DataSetObj]=[]
res = dsr.ResultObj
# res.FeatureActionObj = None
self.datasets[dsr.DataSetObj].append(res)
else:
#if the dataset is in the dictionary, append the result object to the list
res = dsr.ResultObj
# res.FeatureActionObj = None
self.datasets[dsr.DataSetObj].append(res)
self.datasets = {}
if datasetresults:

@lsetiawanlsetiawanDec 13, 2017

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I added this line to handle cases that there are no datasets associated.

for dsr in datasetresults:
if dsr.DataSetObj not in self.datasets:
#if the dataset is not in the dictionary, add it and the first result
self.datasets[dsr.DataSetObj]=[]
res = dsr.ResultObj
# res.FeatureActionObj = None
self.datasets[dsr.DataSetObj].append(res)
else:
#if the dataset is in the dictionary, append the result object to the list
res = dsr.ResultObj
# res.FeatureActionObj = None
self.datasets[dsr.DataSetObj].append(res)


def assignRelatedFeatures(self, relatedfeatures):
self.related_features = {}
if relatedfeatures:

@lsetiawanlsetiawanDec 13, 2017•
edited
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I added this line to handle cases that there are no relatedfeatures.

for related in relatedfeatures:
if related.SamplingFeatureTypeCV == 'Site':
self.related_features = related




Expand DownExpand Up@@ -875,7 +889,7 @@ def getDataSetsValues(self, ids=None, codes=None, uuids=None, dstype=None):
return None


def getSamplingFeatureDatasets(self, ids=None, codes=None, uuids=None, dstype=None):
def getSamplingFeatureDatasets(self, ids=None, codes=None, uuids=None, dstype=None, sftype=None):
"""
Retrieve a list of Datasets associated with the given sampling feature data.

Expand All@@ -887,7 +901,8 @@ def getSamplingFeatureDatasets(self, ids=None, codes=None, uuids=None, dstype=No
uuids (list, optional): List of UUIDs string.
dstype (str, optional): Type of Dataset from
`controlled vocabulary name <http://vocabulary.odm2.org/datasettype/>`_.

sftype (str, optional): Type of SamplingFeature from
`controlled vocabulary name <http://vocabulary.odm2.org/samplingfeaturetype/>`_.

Returns:
list: List of DataSetsResults Objects associated with the given sampling feature
Expand All@@ -899,26 +914,30 @@ def getSamplingFeatureDatasets(self, ids=None, codes=None, uuids=None, dstype=No
>>> READ.getSamplingFeatureDatasets(uuids=['a6f114f1-5416-4606-ae10-23be32dbc202',
... '5396fdf3-ceb3-46b6-aaf9-454a37278bb4'])
>>> READ.getSamplingFeatureDatasets(dstype='singleTimeSeries')
>>> READ.getSamplingFeatureDatasets(sftype='Specimen')

"""


# make sure one of the three arguments has been sent in
if all(v is None for v in [ids, codes, uuids]):
raise ValueError('Expected samplingFeatureID OR samplingFeatureUUID OR samplingFeatureCode argument')
if all(v is None for v in [ids, codes, uuids, sftype]):
raise ValueError('Expected samplingFeatureID OR samplingFeatureUUID OR samplingFeatureCode OR samplingFeatureType '
'argument')

sf_query = self._session.query(SamplingFeatures)
if sftype:
sf_query = sf_query.filter(SamplingFeatures.SamplingFeatureTypeCV == sftype)
if ids:
sf_query = sf_query.filter(SamplingFeatures.SamplingFeatureID.in_(ids))
if codes:
sf_query = sf_query.filter(SamplingFeatures.SamplingFeatureCode.in_(codes))
if uuids:
sf_query = sf_query.filter(SamplingFeatures.SamplingFeatureUUID.in_(uuids))

sf_list = []
for sf in sf_query.all():
sf_list.append(sf)

sfds = None
try:
sfds=[]
for sf in sf_list:
Expand All@@ -934,7 +953,9 @@ def getSamplingFeatureDatasets(self, ids=None, codes=None, uuids=None, dstype=No

vals = q.all()

sfds.append(SamplingFeatureDataSet(sf, vals))
related = self.getRelatedSamplingFeatures(sf.SamplingFeatureID)

sfds.append(SamplingFeatureDataSet(sf, vals, related))
except Exception as e:
print('Error running Query: {}'.format(e))
return None
Expand Down