def get_data_for_feature(user, uid):
try:
f = get_feature_by_uid(uid)
except:
return False, HttpResponse("Feature %s does not exist" % uid,
status=404)
viewable, response = f.is_viewable(user)
if not viewable:
return viewable, response
features = []
collections = []
if isinstance(f, FeatureCollection):
obj_id = f.pk
ct = ContentType.objects.get_for_model(f.__class__)
for fmodel in get_feature_models():
unattached = list(
fmodel.objects.filter(content_type=ct, object_id=obj_id))
features.extend(unattached)
for cmodel in get_collection_models():
collections_top = list(
cmodel.objects.filter(content_type=ct, object_id=obj_id))
collections.extend(collections_top)
elif isinstance(f, Feature):
features.append(f)
return features, collections
def get_data_for_feature(user, uid):
try:
f = get_feature_by_uid(uid)
except:
return False, HttpResponse("Feature %s does not exist" % uid, status=404)
viewable, response = f.is_viewable(user)
if not viewable:
return viewable, response
features = []
collections = []
if isinstance(f, FeatureCollection):
obj_id = f.pk
ct = ContentType.objects.get_for_model(f.__class__)
for fmodel in get_feature_models():
unattached = list(fmodel.objects.filter(content_type=ct,object_id=obj_id))
features.extend(unattached)
for cmodel in get_collection_models():
collections_top = list(cmodel.objects.filter(content_type=ct,object_id=obj_id))
collections.extend(collections_top)
elif isinstance(f, Feature):
features.append(f)
return features, collections
def get_shared_data(shareuser, sharegroup, user):
sg = Group.objects.get(pk=sharegroup)
su = User.objects.get(pk=shareuser)
features = []
collections = []
for fmodel in get_feature_models():
# Find top level features shared with user
# top-level == not belonging to any collections
# have to use content_type and object_id fields to determine
unattached = list(
fmodel.objects.shared_with_user(user,filter_groups=[sg])
.filter(user=su, content_type=None,object_id=None)
)
features.extend(unattached)
for cmodel in get_collection_models():
collections_top = list(
cmodel.objects.shared_with_user(user,filter_groups=[sg])
.filter(user=su, content_type=None,object_id=None)
)
collections.extend(collections_top)
return features, collections
def get_public_data():
"""
No login necessary, everyone sees these
Public groups defined in settings.SHARING_TO_PUBLIC_GROUPS
"""
from django.conf import settings
public_groups = Group.objects.filter(name__in=settings.SHARING_TO_PUBLIC_GROUPS)
features = []
collections = []
for fmodel in get_feature_models():
unattached = list(fmodel.objects.filter(sharing_groups__in=public_groups))
features.extend(unattached)
for cmodel in get_collection_models():
collections_top = list(cmodel.objects.filter(sharing_groups__in=public_groups))
collections.extend(collections_top)
return features, collections
def get_features(uids, user):
"""
Returns list of tuples representing mapnik layers
Tuple => (model_class, [pks])
Note: currently just a single pk per 'layer' which is
incredibly inefficient but the only way to ensure
proper layer ordering (??).
features = [ (Mpa, [49, 50]),
(Pipeline, [32, 31]),
(Shipwreck, [32, 31])
]
"""
feature_models = get_feature_models()
collection_models = get_collection_models()
features = [] # list of tuples => (model, [pks])
for uid in uids:
log.debug("processing uid %s" % uid)
applabel, modelname, pk = uid.split('_')
model = get_model_by_uid("%s_%s" % (applabel, modelname))
feature = get_feature_by_uid(uid)
if user:
viewable, response = feature.is_viewable(user)
if not viewable:
continue
if model in collection_models:
collection = get_feature_by_uid(uid)
if user:
viewable, response = collection.is_viewable(user)
if not viewable:
continue
all_children = collection.feature_set(recurse=True)
children = [
x for x in all_children if x.__class__ in feature_models
]
for child in children:
features.append((child.__class__, [child.pk]))
else:
features.append((model, [int(pk)]))
return features
def get_user_data(user):
"""
Organizes user's Features and FeatureCollections.
Only returns objects owned by user, not shared
Returns only the features/collections at the top level,
nested child features will be handled later through
recursive calls to feature_set.
"""
toplevel_features = []
toplevel_collections = []
for fmodel in get_feature_models():
unattached = list(fmodel.objects.filter(user=user, content_type=None, object_id=None))
toplevel_features.extend(unattached)
for cmodel in get_collection_models():
collections_top = list(cmodel.objects.filter(user=user, content_type=None, object_id=None))
toplevel_collections.extend(collections_top)
return toplevel_features, toplevel_collections
def get_features(uids,user):
"""
Returns list of tuples representing mapnik layers
Tuple => (model_class, [pks])
Note: currently just a single pk per 'layer' which is
incredibly inefficient but the only way to ensure
proper layer ordering (??).
features = [ (Mpa, [49, 50]),
(Pipeline, [32, 31]),
(Shipwreck, [32, 31])
]
"""
feature_models = get_feature_models()
collection_models = get_collection_models()
features = [] # list of tuples => (model, [pks])
for uid in uids:
log.debug("processing uid %s" % uid)
applabel, modelname, pk = uid.split('_')
model = get_model_by_uid("%s_%s" % (applabel,modelname))
feature = get_feature_by_uid(uid)
if user:
viewable, response = feature.is_viewable(user)
if not viewable:
continue
if model in collection_models:
collection = get_feature_by_uid(uid)
if user:
viewable, response = collection.is_viewable(user)
if not viewable:
continue
all_children = collection.feature_set(recurse=True)
children = [x for x in all_children if x.__class__ in feature_models]
for child in children:
features.append((child.__class__,[child.pk]))
else:
features.append((model,[int(pk)]))
return features
def get_public_data():
"""
No login necessary, everyone sees these
Public groups defined in settings.SHARING_TO_PUBLIC_GROUPS
"""
from django.conf import settings
public_groups = Group.objects.filter(
name__in=settings.SHARING_TO_PUBLIC_GROUPS)
features = []
collections = []
for fmodel in get_feature_models():
unattached = list(
fmodel.objects.filter(sharing_groups__in=public_groups))
features.extend(unattached)
for cmodel in get_collection_models():
collections_top = list(
cmodel.objects.filter(sharing_groups__in=public_groups))
collections.extend(collections_top)
return features, collections
def get_shared_data(shareuser, sharegroup, user):
sg = Group.objects.get(pk=sharegroup)
su = User.objects.get(pk=shareuser)
features = []
collections = []
for fmodel in get_feature_models():
# Find top level features shared with user
# top-level == not belonging to any collections
# have to use content_type and object_id fields to determine
unattached = list(
fmodel.objects.shared_with_user(user, filter_groups=[sg]).filter(
user=su, content_type=None, object_id=None))
features.extend(unattached)
for cmodel in get_collection_models():
collections_top = list(
cmodel.objects.shared_with_user(user, filter_groups=[sg]).filter(
user=su, content_type=None, object_id=None))
collections.extend(collections_top)
return features, collections
def get_user_data(user):
"""
Organizes user's Features and FeatureCollections.
Only returns objects owned by user, not shared
Returns only the features/collections at the top level,
nested child features will be handled later through
recursive calls to feature_set.
"""
toplevel_features = []
toplevel_collections = []
for fmodel in get_feature_models():
unattached = list(
fmodel.objects.filter(user=user, content_type=None,
object_id=None))
toplevel_features.extend(unattached)
for cmodel in get_collection_models():
collections_top = list(
cmodel.objects.filter(user=user, content_type=None,
object_id=None))
toplevel_collections.extend(collections_top)
return toplevel_features, toplevel_collections