def create_subclass(self, params, **kwargs):
"""
Subclasses the LayerSelectionResource instance's class for the given config_entity and layer.
:param params Must contain a 'config_entity__id' and 'layer__id'
:return:
"""
layer = self.resolve_layer(params)
config_entity = self.resolve_config_entity(params)
logger.debug(
"Resolving LayerSelection for config_entity %s, layer %s" %
(config_entity.key, layer.db_entity.key))
layer_selection_class = get_or_create_layer_selection_class_for_layer(
layer, config_entity)
# Have the LayerPublisher create the LayerSelection instance for the user if needed
update_or_create_layer_selections_for_layer(
layer, users=[self.resolve_user(params)])
if not layer_selection_class:
raise Exception(
"Layer with db_entity_key %s has no feature_class. Its LayerSelections should not be requested"
% layer.db_entity_key)
return get_dynamic_resource_class(self.__class__,
layer_selection_class)
def create_subclass(self, params, **kwargs):
land_use_definition_fixture_class = resolve_fixture_class(
"built_form",
"land_use_definition",
ClientLandUseDefinition,
settings.CLIENT)
return get_dynamic_resource_class(
self.__class__,
land_use_definition_fixture_class)
def create_subclass(self, params, **kwargs):
"""
Subclasses the LayerSelectionResource instance's class for the given config_entity and layer.
:param params Must contain a 'config_entity__id' and 'layer__id'
:return:
"""
layer = self.resolve_layer(params)
config_entity = self.resolve_config_entity(params)
logger.debug("Resolving LayerSelection for config_entity %s, layer %s" % (config_entity.key, layer.db_entity.key))
layer_selection_class = get_or_create_layer_selection_class_for_layer(layer, config_entity)
# Have the LayerPublisher create the LayerSelection instance for the user if needed
update_or_create_layer_selections_for_layer(layer, users=[self.resolve_user(params)])
if not layer_selection_class:
raise Exception("Layer with db_entity_key %s has no feature_class. Its LayerSelections should not be requested" % layer.db_entity_key)
return get_dynamic_resource_class(
self.__class__,
layer_selection_class
)
def resolve_resource_class(cls,
model_class,
related_descriptors=None,
queryset=None,
base_resource_class=None,
object_class=None,
no_cache=False,
use_version_fields=False,
only_abstract_resources=True,
additional_fields_dict=None,
is_join_query=False,
limit_fields=None,
for_template=False):
"""
Match the model_class to an existing resource class by iterating through subclasses of self.__class__
If no match occurs generate one if db_entity is specified, else None
:param model_class:
:param related_descriptors: Optionally provided a dictionary of related descriptors of the model_class to use to create related resource fields
in the case of dynamic resource creation. If unspecified, related_descriptors are found using the base resource class's resolve_related_descriptors method
:param no_cache: Don't use cached resources. Specifying queryset also prevents the cache being consulted
:param use_version_fields: Special case for versioned models. Instructs the resource class creation
to create dynamic fields to look in the model_class's Revisionable._version_field_dict to resolve
the value of a field before looking at the database (current object) version of the field.
:param additional_fields_dict. Optional dict that gives the resource class additional fields
with values. This is not for related fields, rather special cases like passing the layer_selection
to the FeatureResource.
:param for_template: Currently just used for Features, but this indicates a template version of the
resource is being sought
:param is_join_query: True if the is a join query
table or similar. This means that the queryset isn't actually valid yet
:return: The matching or created resource
"""
# Never seek a cached resource if a queryset or no_cache is specified
allow_caching = queryset is None and not no_cache
cls.logger.info("Resolving Resource Class for model_class %s with query %s and allow_caching %s and only_abstract_resources %s and base_resource_class %s",
model_class.__name__, queryset, allow_caching, only_abstract_resources, base_resource_class)
if not base_resource_class and allow_caching:
# Try to get a cached resource if a base_resource_class is present and we allow caching
# of this resource. We never allow caching if the queryset changes from request to request
# Instead we subclass the best matching existing resource class
resources = FootprintResource.match_existing_resources(model_class)
if len(resources) > 1:
logging.warn("Too many resources for model class: %s. Resources; %s" % (model_class, resources))
if (len(resources) > 0):
cls.logger.info("Found existing resource class %s for model class %s" % (resources[0], model_class))
# Done, return the existing resource
return resources[0]
# If we don't allow caching or no resource was found
if only_abstract_resources:
# See if we can match an abstract resource to be our base.
# We look for the best matching resource who's model class matches or is a superclass or our model class.
base_resource_classes = FootprintResource.match_existing_resources(model_class, only_abstract_resources=True)
cls.logger.info("Matching abstract base resource classes: %s" % base_resource_classes)
base_resource_class = base_resource_classes[0] if len(base_resource_classes)==1 else base_resource_class
else:
# Fist try to find a concrete one that we already created
concrete_base_resource_classes = FootprintResource.match_existing_resources(model_class, allow_abstract_resources=False)
if len(concrete_base_resource_classes)==1:
# Found a concrete resource class that was already created for this model
# If this isn't a join query we can return this resource class
base_resource_class = concrete_base_resource_classes[0]
if not is_join_query:
return base_resource_class
else:
# Try to find an abstract one
all_base_resource_classes = FootprintResource.match_existing_resources(model_class, only_abstract_resources=True)
cls.logger.info("Matching abstract base resource classes: %s" % all_base_resource_classes)
base_resource_class = all_base_resource_classes[0] if len(all_base_resource_classes)==1 else base_resource_class
if is_join_query:
# Join queries must pass in the limited fields from the layer_selection.result_map.result_fields
limit_api_fields = limit_fields
else:
# Non-join queries find their fields from the model_class
limit_api_fields = limited_api_fields(model_class, for_template=for_template)
resource_class = base_resource_class or cls
if base_resource_class:
cls.logger.info("Resolved base_resource_class: %s" % base_resource_class)
else:
cls.logger.info("Could not resolve a base_resource_class. Using resource class %s" % cls)
related_descriptors = related_descriptors or \
resource_class.resolve_related_descriptors(model_class) or \
{}
cls.logger.info("Creating a resource subclass of %s for model_class %s with the following related descriptors %s" % (
resource_class,
model_class,
', '.join(map_dict(
lambda related_field_name, related_descriptor: related_field_name,
related_descriptors
))))
related_fields = merge(additional_fields_dict or {}, map_dict_to_dict(
lambda related_field_name, relationship_dict: cls.related_resource_field(
related_field_name,
merge(
dict(
# This is passed in, but might be overriden in the relationship_dict
use_version_fields=use_version_fields
),
# Already a relationship dict
relationship_dict if isinstance(relationship_dict, dict) else dict(),
# Not a relationship dict, just a descriptor, wrap it
dict(descriptor=relationship_dict) if not isinstance(relationship_dict, dict) else dict(),
),
# Always allow cached related resource classes.
# I think this is always safe
no_cache=False),
related_descriptors))
meta = merge(
dict(fields=limit_api_fields) if limit_api_fields else
dict(excludes=(resource_class.Meta.excludes if hasattr(
resource_class.Meta, 'excludes') else []) + cls.dynamic_excludes(
model_class)),
dict(queryset=queryset, object_class=object_class) if queryset else dict())
return get_dynamic_resource_class(
resource_class,
model_class,
# Created related fields from the related_descriptors
fields=related_fields,
# Optionally set the fields and queryset on the Meta class
meta_fields=meta
)
def resolve_resource_class(cls,
model_class,
related_descriptors=None,
queryset=None,
base_resource_class=None,
object_class=None,
no_cache=False,
use_version_fields=False,
only_abstract_resources=True,
additional_fields_dict=None,
is_join_query=False,
limit_fields=None,
for_template=False):
"""
Match the model_class to an existing resource class by iterating through subclasses of self.__class__
If no match occurs generate one if db_entity is specified, else None
:param model_class:
:param related_descriptors: Optionally provided a dictionary of related descriptors of the model_class to use to create related resource fields
in the case of dynamic resource creation. If unspecified, related_descriptors are found using the base resource class's resolve_related_descriptors method
:param no_cache: Don't use cached resources. Specifying queryset also prevents the cache being consulted
:param use_version_fields: Special case for versioned models. Instructs the resource class creation
to create dynamic fields to look in the model_class's Revisionable._version_field_dict to resolve
the value of a field before looking at the database (current object) version of the field.
:param additional_fields_dict. Optional dict that gives the resource class additional fields
with values. This is not for related fields, rather special cases like passing the layer_selection
to the FeatureResource.
:param for_template: Currently just used for Features, but this indicates a template version of the
resource is being sought
:param is_join_query: True if the is a join query
table or similar. This means that the queryset isn't actually valid yet
:return: The matching or created resource
"""
# Never seek a cached resource if a queryset or no_cache is specified
allow_caching = queryset is None and not no_cache
cls.logger.info("Resolving Resource Class for model_class %s with query %s and allow_caching %s and only_abstract_resources %s and base_resource_class %s",
model_class.__name__, queryset, allow_caching, only_abstract_resources, base_resource_class)
if not base_resource_class and allow_caching:
# Try to get a cached resource if a base_resource_class is present and we allow caching
# of this resource. We never allow caching if the queryset changes from request to request
# Instead we subclass the best matching existing resource class
resources = FootprintResource.match_existing_resources(model_class)
if len(resources) > 1:
logging.warn("Too many resources for model class: %s. Resources; %s" % (model_class, resources))
if (len(resources) > 0):
cls.logger.info("Found existing resource class %s for model class %s" % (resources[0], model_class))
# Done, return the existing resource
return resources[0]
# If we don't allow caching or no resource was found
if only_abstract_resources:
# See if we can match an abstract resource to be our base.
# We look for the best matching resource who's model class matches or is a superclass or our model class.
base_resource_classes = FootprintResource.match_existing_resources(model_class, only_abstract_resources=True)
cls.logger.info("Matching abstract base resource classes: %s" % base_resource_classes)
base_resource_class = base_resource_classes[0] if len(base_resource_classes)==1 else base_resource_class
else:
# Fist try to find a concrete one that we already created
concrete_base_resource_classes = FootprintResource.match_existing_resources(model_class, allow_abstract_resources=False)
if len(concrete_base_resource_classes)==1:
# Found a concrete resource class that was already created for this model
# If this isn't a join query we can return this resource class
base_resource_class = concrete_base_resource_classes[0]
if not is_join_query:
return base_resource_class
else:
# Try to find an abstract one
all_base_resource_classes = FootprintResource.match_existing_resources(model_class, only_abstract_resources=True)
cls.logger.info("Matching abstract base resource classes: %s" % all_base_resource_classes)
base_resource_class = all_base_resource_classes[0] if len(all_base_resource_classes)==1 else base_resource_class
if is_join_query:
# Join queries must pass in the limited fields from the layer_selection.result_map.result_fields
limit_api_fields = limit_fields
else:
# Non-join queries find their fields from the model_class
limit_api_fields = limited_api_fields(model_class, for_template=for_template)
resource_class = base_resource_class or cls
if base_resource_class:
cls.logger.info("Resolved base_resource_class: %s" % base_resource_class)
else:
cls.logger.info("Could not resolve a base_resource_class. Using resource class %s" % cls)
related_descriptors = related_descriptors or \
resource_class.resolve_related_descriptors(model_class) or \
{}
cls.logger.info("Creating a resource subclass of %s for model_class %s with the following related descriptors %s" % (
resource_class,
model_class,
', '.join(map_dict(
lambda related_field_name, related_descriptor: related_field_name,
related_descriptors
))))
related_fields = merge(additional_fields_dict or {}, map_dict_to_dict(
lambda related_field_name, relationship_dict: cls.related_resource_field(
related_field_name,
merge(
dict(
# This is passed in, but might be overriden in the relationship_dict
use_version_fields=use_version_fields
),
# Already a relationship dict
relationship_dict if isinstance(relationship_dict, dict) else dict(),
# Not a relationship dict, just a descriptor, wrap it
dict(descriptor=relationship_dict) if not isinstance(relationship_dict, dict) else dict(),
),
# Always allow cached related resource classes.
# I think this is always safe
no_cache=False),
related_descriptors))
meta = merge(
dict(fields=limit_api_fields) if limit_api_fields else
dict(excludes=(resource_class.Meta.excludes if hasattr(
resource_class.Meta, 'excludes') else []) + cls.dynamic_excludes(
model_class)),
dict(queryset=queryset, object_class=object_class) if queryset else dict())
return get_dynamic_resource_class(
resource_class,
model_class,
# Created related fields from the related_descriptors
fields=related_fields,
# Optionally set the fields and queryset on the Meta class
meta_fields=meta
)