class ImageMetadataAttributeCheckTrigger(BaseTrigger):
__trigger_name__ = 'attribute'
__description__ = 'Triggers if a named image metadata value matches the given condition.'
__ops__ = {
'=':
CheckOperation(requires_rvalue=True,
eval_function=lambda x, y: x == y),
'!=':
CheckOperation(requires_rvalue=True,
eval_function=lambda x, y: x != y),
'>':
CheckOperation(requires_rvalue=True, eval_function=lambda x, y: x > y),
'<':
CheckOperation(requires_rvalue=True, eval_function=lambda x, y: x < y),
'>=':
CheckOperation(requires_rvalue=True,
eval_function=lambda x, y: x >= y),
'<=':
CheckOperation(requires_rvalue=True,
eval_function=lambda x, y: x <= y),
'exists':
CheckOperation(requires_rvalue=False,
eval_function=lambda x, y: bool(x)),
'not_exists':
CheckOperation(requires_rvalue=False,
eval_function=lambda x, y: not bool(x)),
'like':
CheckOperation(requires_rvalue=True,
eval_function=lambda x, y: bool(re.match(y, x))),
'not_like':
CheckOperation(requires_rvalue=True,
eval_function=lambda x, y: not bool(re.match(y, x))),
'in':
CheckOperation(
requires_rvalue=True,
eval_function=lambda x, y: x in [z.strip() for z in y.split(',')]),
'not_in':
CheckOperation(requires_rvalue=True,
eval_function=lambda x, y: x not in
[z.strip() for z in y.split(',')])
}
__valid_attributes__ = {
'size':
lambda x: x.size,
'architecture':
lambda x: x.docker_data_json.get('Architecture')
if x.docker_data_json else None,
'os_type':
lambda x: x.docker_data_json.get('Os', x.docker_data_json.get('os'))
if x.docker_data_json else None,
'distro':
lambda x: x.distro_name,
'distro_version':
lambda x: x.distro_version,
'like_distro':
lambda x: x.like_distro,
'layer_count':
lambda x: len(x.layers_json) if x.layers_json else 0
}
attribute = EnumStringParameter(
name='attribute',
example_str='size',
description='Attribute name to be checked.',
enum_values=list(__valid_attributes__.keys()),
is_required=True,
sort_order=1)
check = EnumStringParameter(
name='check',
example_str='>',
description='The operation to perform the evaluation.',
enum_values=list(__ops__.keys()),
is_required=True,
sort_order=2)
check_value = TriggerParameter(name='value',
example_str='1073741824',
description='Value used in comparison.',
validator=TypeValidator('string'),
is_required=False,
sort_order=3)
def evaluate(self, image_obj, context):
attr = self.attribute.value()
check = self.check.value()
rval = self.check_value.value()
if not attr or not check:
return
op = self.__ops__.get(check)
if op is None or op.requires_rvalue and not rval:
# Raise exception or fall thru
return
img_val = self.__valid_attributes__[attr](image_obj)
# Make consistent types (specifically for int/float/str)
if type(img_val) in [str, int, float, str]:
rval = type(img_val)(rval)
if op.eval_function(img_val, rval):
self._fire(
msg=
"Attribute check for attribute: '{}' check: '{}' check_value: '{}' matched image value: '{}'"
.format(attr, check, (
str(rval) if rval is not None else ''), img_val))
class ImageMetadataAttributeCheckTrigger(BaseTrigger):
__trigger_name__ = "attribute"
__description__ = (
"Triggers if a named image metadata value matches the given condition."
)
__ops__ = {
"=":
CheckOperation(requires_rvalue=True,
eval_function=lambda x, y: x == y),
"!=":
CheckOperation(requires_rvalue=True,
eval_function=lambda x, y: x != y),
">":
CheckOperation(requires_rvalue=True, eval_function=lambda x, y: x > y),
"<":
CheckOperation(requires_rvalue=True, eval_function=lambda x, y: x < y),
">=":
CheckOperation(requires_rvalue=True,
eval_function=lambda x, y: x >= y),
"<=":
CheckOperation(requires_rvalue=True,
eval_function=lambda x, y: x <= y),
"exists":
CheckOperation(requires_rvalue=False,
eval_function=lambda x, y: bool(x)),
"not_exists":
CheckOperation(requires_rvalue=False,
eval_function=lambda x, y: not bool(x)),
"like":
CheckOperation(requires_rvalue=True,
eval_function=lambda x, y: bool(re.match(y, x))),
"not_like":
CheckOperation(requires_rvalue=True,
eval_function=lambda x, y: not bool(re.match(y, x))),
"in":
CheckOperation(
requires_rvalue=True,
eval_function=lambda x, y: x in [z.strip() for z in y.split(",")],
),
"not_in":
CheckOperation(
requires_rvalue=True,
eval_function=lambda x, y: x not in
[z.strip() for z in y.split(",")],
),
}
__valid_attributes__ = {
"size":
(lambda x: x.size, RegexParamValidator(regex=BYTES_REGEX.pattern)),
"architecture": (
lambda x: x.docker_data_json.get("Architecture")
if x.docker_data_json else None,
TypeValidator("string"),
),
"os_type": (
lambda x: x.docker_data_json.get("Os", x.docker_data_json.get("os")
) if x.docker_data_json else None,
TypeValidator("string"),
),
"distro": (lambda x: x.distro_name, TypeValidator("string")),
"distro_version":
(lambda x: x.distro_version, TypeValidator("string")),
"like_distro": (lambda x: x.like_distro, TypeValidator("string")),
"layer_count": (
lambda x: len(x.layers_json) if x.layers_json else 0,
IntegerValidator(),
),
}
attribute = EnumStringParameter(
name="attribute",
example_str="size",
description="Attribute name to be checked.",
enum_values=list(__valid_attributes__.keys()),
is_required=True,
sort_order=1,
)
check = EnumStringParameter(
name="check",
example_str=">",
description="The operation to perform the evaluation.",
enum_values=list(__ops__.keys()),
is_required=True,
sort_order=2,
)
_check_value_validator = LinkedValidator(
discriminator_parameter="attribute",
default_validator=TypeValidator("string"),
value_map={k: v[1]
for k, v in __valid_attributes__.items()},
)
check_value = TriggerParameter(
name="value",
example_str="1073741824",
description="Value used in comparison.",
validator=_check_value_validator,
is_required=False,
sort_order=3,
)
def evaluate(self, image_obj, context):
attr = self.attribute.value()
check = self.check.value()
rval = self.check_value.value()
if not attr or not check:
return
op = self.__ops__.get(check)
if op is None or op.requires_rvalue and not rval:
# Raise exception or fall thru
return
img_val = self.__valid_attributes__[attr][0](image_obj)
# Make consistent types (specifically for int/float/str)
if type(img_val) in [int, float, str]:
if attr == "size":
rval = convert_bytes_size(rval)
else:
rval = type(img_val)(rval)
if op.eval_function(img_val, rval):
self._fire(
msg=
"Attribute check for attribute: '{}' check: '{}' check_value: '{}' matched image value: '{}'"
.format(attr, check, (
str(rval) if rval is not None else ""), img_val))