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IfcOpenShell/src/ifcopenshell-python/ifcopenshell/validate.py
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2022-01-19 12:18:33 +11:00

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Python

# IfcOpenShell - IFC toolkit and geometry engine
# Copyright (C) 2021 Thomas Krijnen <thomas@aecgeeks.com>
#
# This file is part of IfcOpenShell.
#
# IfcOpenShell is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# IfcOpenShell is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with IfcOpenShell. If not, see <http://www.gnu.org/licenses/>.
from __future__ import print_function
import sys
import json
import functools
from collections import namedtuple
import ifcopenshell
named_type = ifcopenshell.ifcopenshell_wrapper.named_type
aggregation_type = ifcopenshell.ifcopenshell_wrapper.aggregation_type
simple_type = ifcopenshell.ifcopenshell_wrapper.simple_type
type_declaration = ifcopenshell.ifcopenshell_wrapper.type_declaration
enumeration_type = ifcopenshell.ifcopenshell_wrapper.enumeration_type
entity_type = ifcopenshell.ifcopenshell_wrapper.entity
select_type = ifcopenshell.ifcopenshell_wrapper.select_type
attribute = ifcopenshell.ifcopenshell_wrapper.attribute
class ValidationError(Exception):
pass
log_entry_type = namedtuple("log_entry_type", ("level", "message", "instance"))
class json_logger:
def __init__(self):
self.statements = []
self.instance = None
def set_instance(self, instance):
self.instance = instance
def log(self, level, message, *args, **kwargs):
self.statements.append(log_entry_type(level, message % args, kwargs.get("instance"))._asdict())
def __getattr__(self, level):
return functools.partial(self.log, level, instance=self.instance)
simple_type_python_mapping = {
# @todo should include unicode for Python2
"string": str,
"integer": int,
"real": float,
"number": float,
"boolean": bool,
"logical": {True, False, "UNKNOWN"},
"binary": str, # maps to a str of "0" and "1"
}
def assert_valid_inverse(attr, val, schema):
b1, b2 = attr.bound1(), attr.bound2()
invalid = len(val) < b1 or (b2 != -1 and len(val) > b2)
if invalid:
raise ValidationError("%r not valid for %s" % (val, attr))
return True
def assert_valid(attr, val, schema):
if isinstance(attr, attribute):
attr_type = attr.type_of_attribute()
else:
attr_type = attr
type_wrappers = (named_type,)
if not isinstance(val, ifcopenshell.entity_instance):
# If val is not an entity instance we need to
# flatten the type declaration to something that
# maps to the python types
type_wrappers += (type_declaration,)
while isinstance(attr_type, type_wrappers):
attr_type = attr_type.declared_type()
invalid = False
if isinstance(attr_type, simple_type):
simple_type_python = simple_type_python_mapping[attr_type.declared_type()]
if type(simple_type_python) == set:
invalid = val not in simple_type_python
else:
invalid = type(val) != simple_type_python
elif isinstance(attr_type, (entity_type, type_declaration)):
invalid = not isinstance(val, ifcopenshell.entity_instance) or not val.is_a(attr_type.name())
elif isinstance(attr_type, select_type):
val_to_use = val
if isinstance(schema.declaration_by_name(val.is_a()), enumeration_type):
if isinstance(val, ifcopenshell.entity_instance):
val_to_use = val.wrappedValue
else:
invalid = True
if not invalid:
invalid = not any(try_valid(x, val_to_use, schema) for x in attr_type.select_list())
elif isinstance(attr_type, enumeration_type):
invalid = val not in attr_type.enumeration_items()
elif isinstance(attr_type, aggregation_type):
b1, b2 = attr_type.bound1(), attr_type.bound2()
ty = attr_type.type_of_element()
invalid = len(val) < b1 or (b2 != -1 and len(val) > b2) or not all(assert_valid(ty, v, schema) for v in val)
else:
raise NotImplementedError("Not impl %s %s" % (type(attr_type), attr_type))
if invalid:
raise ValidationError("%r not valid for %s" % (val, attr))
return True
def try_valid(attr, val, schema):
try:
return assert_valid(attr, val, schema)
except ValidationError as e:
return False
def validate(f, logger):
"""
For an IFC population model `f` validate whether the entity attribute values are correctly supplied. As this
is a function that is applied after a file has been parsed, certain types of errors in syntax, duplicate
numeric identifiers or invalidate entity names are not caught by this function. Some of these might have been
logged and can be retrieved by calling `ifcopenshell.get_log()`. A verification of the type, entity and global
WHERE rules is also not implemented.
For every entity instance in the model, it is checked that the entity is not abstract that every attribute value
is of the correct type and that the inverse attributes are of the correct cardinality.
Express simple types are checked for their valuation type. For select types it is asserted that the value conforms
to one of the leaves. For enumerations it is checked that the value is indeed on of the items. For aggregations it
is checked that the elements and the cardinality conforms. Type declarations (IfcInteger which is an integer) are
unpacked until one of the above cases is reached.
"""
schema = ifcopenshell.ifcopenshell_wrapper.schema_by_name(f.schema)
for inst in f:
if hasattr(logger, "set_instance"):
logger.set_instance(inst)
entity = schema.declaration_by_name(inst.is_a())
attrs = entity.all_attributes()
if entity.is_abstract():
e = "Entity %s is abstract" % entity.name()
if hasattr(logger, "set_instance"):
logger.error(e)
else:
logger.error("In %s\n%s", inst, e)
has_invalid_value = False
for i in range(len(attrs)):
try:
inst[i]
pass
except:
if hasattr(logger, "set_instance"):
logger.error("Invalid attribute value for %s.%s", entity, attrs[i])
else:
logger.error(
"In %s\nInvalid attribute value for %s.%s",
inst,
entity,
attrs[i],
)
has_invalid_value = True
if not has_invalid_value:
for attr, val, is_derived in zip(attrs, inst, entity.derived()):
if val is None and not (is_derived or attr.optional()):
logger.error("Attribute %s.%s not optional", entity, attr)
if val is not None:
attr_type = attr.type_of_attribute()
try:
assert_valid(attr, val, schema)
except ValidationError as e:
if hasattr(logger, "set_instance"):
logger.error(str(e))
else:
logger.error("In %s\n%s", inst, e)
for attr in entity.all_inverse_attributes():
val = getattr(inst, attr.name())
try:
assert_valid_inverse(attr, val, schema)
except ValidationError as e:
if hasattr(logger, "set_instance"):
logger.error(str(e))
else:
logger.error("In %s\n%s", inst, e)
if __name__ == "__main__":
import sys
import logging
filenames = [x for x in sys.argv[1:] if not x.startswith("--")]
flags = set(x for x in sys.argv[1:] if x.startswith("--"))
for fn in filenames:
if "--json" in flags:
logger = json_logger()
else:
logger = logging.getLogger("validate")
logger.setLevel(logging.DEBUG)
f = ifcopenshell.open(fn)
print("Validating", fn, file=sys.stderr)
validate(f, logger)
if "--json" in flags:
print("\n".join(json.dumps(x, default=str) for x in logger.statements))