Ref list set

lib/bald/__init__.py

@@ -10,6 +10,7 @@
 import numpy as np
 import pyparsing
 import rdflib
+import rdflib.collection
 import requests
 import six
 
@@ -258,11 +259,11 @@ def __getitem__(self, item):
                 # print('trying: {}'.format(item))
 
                 headers = {'Accept': 'application/rdf+xml'}
-                self.cache[item] = requests.get(item, headers=headers, timeout=7)
+                self.cache[item] = requests.get(item, headers=headers, timeout=11)
             except Exception:
                 # print('retrying: {}'.format(item))
                 headers = {'Accept': 'text/html'}
-                self.cache[item] = requests.get(item, headers=headers, timeout=7)
+                self.cache[item] = requests.get(item, headers=headers, timeout=11)
 
         # print('in {} seconds'.format(time.time() - then))
         return self.cache[item]
@@ -524,10 +525,12 @@ def viewgraph(self):
     def rdfnode(self, graph):
         selfnode = rdflib.URIRef(self.identity)
         for attr in self.attrs:
+            list_items = []
             objs = self.attrs[attr]
             if(isinstance(objs, np.ndarray)):
                 #try to convert np.ndarray to a list
                 objs = objs.tolist()
+
             if not (isinstance(objs, set) or isinstance(objs, list)):
                 objs = set([objs])
             for obj in objs:
@@ -546,16 +549,24 @@ def rdfnode(self, graph):
                     else:
                         rdfobj = rdflib.Literal(rdfobj)
                 rdfpred = rdflib.URIRef(rdfpred)
-                try:
-                    graph.add((selfnode, rdfpred, rdfobj))
-
-                except AssertionError:
-
-                    graph.add((selfnode, rdfpred, rdfobj))
+                if isinstance(objs, set):
+                    try:
+                        graph.add((selfnode, rdfpred, rdfobj))
+
+                    except AssertionError:
+                        pass
+                        #graph.add((selfnode, rdfpred, rdfobj))
+                elif isinstance(objs, list):
+                    list_items.append(rdfobj)
                 if isinstance(obj, Subject):
                     obj_ref = rdflib.URIRef(obj.identity)
                     if (obj_ref, None, None) not in graph:
                         graph = obj.rdfnode(graph)
+            if list_items:
+                list_name = rdflib.BNode()
+                col = rdflib.collection.Collection(graph, list_name, list_items)
+
+                graph.add((selfnode, rdfpred, list_name))
 
         return graph
 
@@ -763,7 +774,7 @@ def load_netcdf(afilepath, baseuri=None, alias_dict=None, cache=None):
         root_container = Container(baseuri, '', attrs, prefixes=prefixes,
                                    aliases=aliases, alias_graph=aliasgraph)
 
-        root_container.attrs['bald__contains'] = []
+        root_container.attrs['bald__contains'] = set()
         file_variables = {}
         for name in fhandle.variables:
             if name ==  prefix_var_name:
@@ -855,7 +866,7 @@ def load_netcdf(afilepath, baseuri=None, alias_dict=None, cache=None):
             else:
                 var = Subject(baseuri, name, sattrs, prefixes=prefixes,
                               aliases=aliases, alias_graph=aliasgraph)
-            root_container.attrs['bald__contains'].append(var)
+            root_container.attrs['bald__contains'].add(var)
             file_variables[name] = var
 
 
@@ -887,10 +898,18 @@ def load_netcdf(afilepath, baseuri=None, alias_dict=None, cache=None):
                 'filter(?rtype = owl:Class) '
                 '}')
 
+        qstr = ('prefix bald: <http://binary-array-ld.net/latest/> '
+                'prefix skos: <http://www.w3.org/2004/02/skos/core#> '
+                'prefix owl: <http://www.w3.org/2002/07/owl#> '
+                'select ?s '
+                'where { '
+                '  ?s rdfs:range ?type . '
+                'filter(?type in (rdfs:Literal, skos:Concept)) '
+                '}')
+
         refs = reference_graph.query(qstr)
 
-        ref_prefs = [str(ref[0]) for ref in list(refs)]
-
+        non_ref_prefs = [str(ref[0]) for ref in list(refs)]
 
         # cycle again and find references
         for name in fhandle.variables:
@@ -906,30 +925,29 @@ def load_netcdf(afilepath, baseuri=None, alias_dict=None, cache=None):
 
             # for sattr in sattrs:
             for sattr in (sattr for sattr in sattrs if
-                          root_container.unpack_predicate(sattr) in ref_prefs):
-                # if sattr == 'coordinates':
-                #     import pdb; pdb.set_trace()
+                          root_container.unpack_predicate(sattr) not in non_ref_prefs):
 
                 if (isinstance(sattrs[sattr], six.string_types) and
                     file_variables.get(sattrs[sattr])):
                     # next: remove all use of set, everything is dict or orderedDict
                     var.attrs[sattr] = set((file_variables.get(sattrs[sattr]),))
                 elif isinstance(sattrs[sattr], six.string_types):
-                    potrefs_list = sattrs[sattr].split(',')
-                    potrefs_set = sattrs[sattr].split(' ')
-                    if len(potrefs_list) > 1:
-                        refs = np.array([file_variables.get(pref) is not None
-                                         for pref in potrefs_list])
-                        if np.all(refs):
-                            var.attrs[sattr] = [file_variables.get(pref)
-                                                for pref in potrefs_list]
-
-                    elif len(potrefs_set) > 1:
-                        refs = np.array([file_variables.get(pref) is not None
-                                         for pref in potrefs_set])
-                        if np.all(refs):
-                            var.attrs[sattr] = set([file_variables.get(pref)
-                                                    for pref in potrefs_set])
+                    if sattrs[sattr].startswith('(') and sattrs[sattr].endswith(')'):
+                        potrefs_list = sattrs[sattr].lstrip('( ').rstrip(' )').split(' ')
+                        if len(potrefs_list) > 1:
+                            refs = np.array([file_variables.get(pref) is not None
+                                             for pref in potrefs_list])
+                            if np.all(refs):
+                                var.attrs[sattr] = [file_variables.get(pref)
+                                                    for pref in potrefs_list]
+                    else:
+                        potrefs_set = sattrs[sattr].split(' ')
+                        if len(potrefs_set) > 1:
+                            refs = np.array([file_variables.get(pref) is not None
+                                             for pref in potrefs_set])
+                            if np.all(refs):
+                                var.attrs[sattr] = set([file_variables.get(pref)
+                                                        for pref in potrefs_set])
 
             # coordinate variables are bald__references except for
             # variables that already declare themselves as bald__Reference 
@@ -961,7 +979,7 @@ def load_netcdf(afilepath, baseuri=None, alias_dict=None, cache=None):
                                                prefixes=prefixes,
                                                aliases=aliases,
                                                alias_graph=aliasgraph)
-                            root_container.attrs['bald__contains'].append(ref_node)
+                            root_container.attrs['bald__contains'].add(ref_node)
                             file_variables[name] = ref_node
                             refset.add(ref_node)
                         var.attrs['bald__references'] = refset
@@ -1000,7 +1018,7 @@ def validate(root_container, sval=None, cache=None):
 
     root_val = bv.ContainerValidation(subject=root_container, httpcache=cache)
     sval.stored_exceptions += root_val.exceptions()
-    for subject in root_container.attrs.get('bald__contains', []):
+    for subject in root_container.attrs.get('bald__contains', set()):
         if isinstance(subject, Array):
             array_val = bv.ArrayValidation(subject, httpcache=cache)
             sval.stored_exceptions += array_val.exceptions()
@@ -1060,7 +1078,7 @@ def _hdf_group(fhandle, identity='root', baseuri=None, prefixes=None,
     root_container = Container(baseuri, identity, attrs, prefixes=prefixes,
                                aliases=aliases, alias_graph=aliasgraph)
 
-    root_container.attrs['bald__contains'] = []
+    root_container.attrs['bald__contains'] = set()
 
     file_variables = {}
     # iterate through the datasets and groups
@@ -1071,14 +1089,14 @@ def _hdf_group(fhandle, identity='root', baseuri=None, prefixes=None,
         if not skip:
             if isinstance(dataset, h5py._hl.group.Group):
                 new_cont, new_fvars = _hdf_group(dataset, name, baseuri, prefixes, aliases)
-                root_container.attrs['bald__contains'].append(new_cont)
+                root_container.attrs['bald__contains'].add(new_cont)
                 file_variables = careful_update(file_variables, new_fvars)
             #if hasattr(dataset, 'shape'):
             elif isinstance(dataset, h5py._hl.dataset.Dataset):
                 sattrs = dict(dataset.attrs)
                 sattrs['bald__shape'] = dataset.shape
                 dset = Array(baseuri, name, sattrs, prefixes, aliases, aliasgraph)
-                root_container.attrs['bald__contains'].append(dset)
+                root_container.attrs['bald__contains'].add(dset)
                 file_variables[dataset.name] = dset
     return root_container, file_variables
 

lib/bald/tests/integration/CDL/ereefs_gbr4_ncld.cdl

@@ -126,19 +126,11 @@ variables:
 		:metadata_link = "http://marlin.csiro.au/geonetwork/srv/eng/search?&uuid=72020224-f086-434a-bbe9-a222c8e5cf0d" ;
 		:rdf__type = "bald__Container" ;
  		:bald__isPrefixedBy = "prefix_list" ;
- 		:bald__isAliasedBy = "alias_list" ;
 
 	group: prefix_list { 
 		// group attributes:
    		:bald__ = "http://binary-array-ld.net/latest/" ;
    		:rdf__ = "http://www.w3.org/1999/02/22-rdf-syntax-ns#" ;
     } // group bald__prefix_list
-
-	group: alias_list { 
-		// group attributes:
-		:qudt = "http://qudt.org/1.1/schema/qudt";
-		:ed_gov_au_op = "http://environment.data.gov.au/def/op" ;
-
-	} // group bald__alias_list		
 
 }

lib/bald/tests/integration/CDL/multi_array_reference.cdl

@@ -36,7 +36,7 @@ variables:
 	        set_collection:bald__references = "data_variable1 data_variable2" ;
 
 	int list_collection ;
-	        list_collection:bald__references = "data_variable1,data_variable2" ;
+	        list_collection:bald__references = "( data_variable1 data_variable2 )" ;
 
 
 // global attributes:

lib/bald/tests/integration/TTL/ProcessChain0300.ttl

@@ -0,0 +1,30 @@
+@prefix CFTerms: <http://def.scitools.org.uk/CFTerms/> .
+@prefix DA: <https://codes.nws.noaa.gov/DataAssimilation> .
+@prefix NWP: <https://codes.nws.noaa.gov/NumericalWeatherPrediction> .
+@prefix StatPP: <https://codes.nws.noaa.gov/StatisticalPostProcessing> .
+@prefix bald: <http://binary-array-ld.net/latest/> .
+@prefix cf_sname: <http://vocab.nerc.ac.uk/standard_name/> .
+@prefix ns1: <file://CDL/ProcessChain0300.cdl/> .
+@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
+@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
+@prefix xml: <http://www.w3.org/XML/1998/namespace> .
+@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
+
+<file://CDL/ProcessChain0300.cdl> a bald:Container ;
+    ns1:process_chain "gfsmos_process_chain" ;
+    bald:contains ns1:gfsmos_process_chain,
+        ns1:step1,
+        ns1:step2 ;
+    bald:isPrefixedBy "prefix_list" .
+
+ns1:gfsmos_process_chain a bald:Subject ;
+    ns1:OM_Process ( ns1:step1 ns1:step2 ) .
+
+ns1:step1 a bald:Subject ;
+    ns1:LE_ProcessStep <https://codes.nws.noaa.gov/NumericalWeatherPrediction/Models/GFS13> ;
+    ns1:LE_Source <https://codes.nws.noaa.gov/DataAssimilation/Methods/GDAS13> .
+
+ns1:step2 a bald:Subject ;
+    ns1:LE_ProcessStep <https://codes.nws.noaa.gov/StatisticalPostProcessing/Methods/GFSMOS05> ;
+    ns1:LE_Source <https://codes.nws.noaa.gov/NumericalWeatherPrediction/Models/GFS13> .
+