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Move metadata check to Python testing framework (#35)
Move metadata check to Python testing framework
This commit is contained in:
Douglas Stebila
GitHub
commit
69401eb697
@ -4,11 +4,11 @@ dist: xenial
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matrix:
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matrix:
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include:
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include:
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- name: "Linux + GCC + Linting + Metadata"
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- name: "Linux + GCC + Linting"
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os: linux
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os: linux
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compiler: gcc
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compiler: gcc
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env:
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env:
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- MAKETARGET="test-all tidy-all check-format check-metadata"
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- MAKETARGET="test-all tidy-all check-format"
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addons:
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addons:
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apt:
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apt:
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packages:
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packages:
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4
Makefile
4
Makefile
@ -189,7 +189,3 @@ apply-tidy-all:
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@for scheme in $(ALL_SCHEMES); do \
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@for scheme in $(ALL_SCHEMES); do \
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$(MAKE) apply-tidy SCHEME=$$scheme; \
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$(MAKE) apply-tidy SCHEME=$$scheme; \
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done
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done
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.PHONY: check-metadata
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check-metadata:
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python3 test/check_metadata.py
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@ -1,156 +0,0 @@
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"""
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Verify the metadata specified in the META.yml files.
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"""
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import yaml
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import glob
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import sys
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import itertools
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import copy
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import os.path
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def eprint(*args, **kwargs):
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"""Write to stderr"""
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global errors
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print(*args, file=sys.stderr, **kwargs)
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errors += 1
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EXPECTED_FIELDS = {
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'name': {'type': str},
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'type': {'type': str},
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'claimed-nist-level': {'type': int, 'min': 1, 'max': 5},
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'length-public-key': {'type': int, 'min': 1},
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'testvectors-sha256': {'type': str, 'length': 64},
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'principal-submitter': {'type': str},
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'auxiliary-submitters': {'type': list, 'elements': {'type': str}},
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'implementations': {
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'type': list,
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'elements': {
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'type': dict,
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'spec': {
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'name': {'type': str},
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'version': {'type': str},
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},
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},
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},
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}
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KEM_FIELDS = {
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'length-ciphertext': {'type': int, 'min': 1},
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}
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SIGNATURE_FIELDS = {
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'length-signature': {'type': int, 'min': 1},
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}
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errors = 0
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def check_spec(metadata, spec, metafile):
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for field, props in spec:
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if field not in metadata:
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eprint("Field '{}' not present in '{}'.".format(
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field, metafile))
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continue
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# validate element
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check_element(field, metadata[field], props, metafile)
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# delete it to detect extras
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del metadata[field]
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# Done checking all specified fields, check if we have extras
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for field, value in metadata.items():
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eprint("Unexpected item '{}' in '{}' with value '{}'"
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.format(field, metafile, value))
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def check_element(field, element, props, metafile):
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type_ = props['type']
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# Validate type of element
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try:
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type_(element)
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# Strs are valid lists otherwise
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if type_ == list and type(element) != list:
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raise ValueError("Not a list")
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# lists are valid dicts otherwise
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if type_ == dict and type(element) != dict:
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raise ValueError("Not a dict")
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except ValueError as e:
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eprint("Field '{}' in '{}' seems to be of incorrect type. "
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"Expected '{}'. Got error '{}'."
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.format(field, metafile, type_.__name__, e))
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return
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if type_ == int:
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element = int(element)
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if 'min' in props:
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if element < props['min']:
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eprint("Value of field '{}' in '{}' is lower than minimum "
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"value {}".format(field, metafile, props['min']))
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if 'max' in props:
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if element > props['max']:
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eprint("Value of field '{}' in '{}' is larger than maximum"
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" value {}".format(field, metafile, props['max']))
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if type_ == str:
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if 'length' in props:
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actual_len = len(element)
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if actual_len != props['length']:
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eprint("Value of field '{}' in '{}' should be length {}"
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" but was length {}"
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.format(field, metafile,
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props['length'], actual_len))
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if type_ == list: # recursively check the elements
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for el in element:
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check_element('element of {}'.format(field),
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el, props['elements'], metafile)
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if type_ == dict:
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check_spec(element, props['spec'].items(), metafile)
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for directory in glob.iglob('crypto_*/*/'):
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metafile = os.path.join(directory, 'META.yml')
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try:
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with open(metafile, encoding='utf-8') as f:
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metadata = yaml.load(f.read())
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except Exception as e:
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eprint("Can't open {}: {}".format(metafile, e))
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continue
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specification = EXPECTED_FIELDS.items()
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if 'crypto_kem' in metafile:
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specification = itertools.chain(specification, KEM_FIELDS.items())
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elif 'crypto_sign' in metafile:
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specification = itertools.chain(specification,
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SIGNATURE_FIELDS.items())
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check_spec(copy.deepcopy(metadata), specification, metafile)
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unspecified_impls = glob.glob(directory + '*/')
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if 'implementations' in metadata:
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for implementation in metadata['implementations']:
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if 'name' not in implementation: # problem is reported elsewhere
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continue
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implpath = os.path.join(directory, implementation['name'])
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if not os.path.isdir(implpath):
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eprint("There is no implementation at '{}' but '{}' was "
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"specified in {}".format(
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implpath, implementation['name'], metafile))
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implpath += '/' # adjust for trailing / in unspecified_impls
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if implpath in unspecified_impls:
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unspecified_impls.remove(implpath)
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for impl in unspecified_impls:
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eprint("Implementation '{}' is not specified in '{}'."
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.format(impl, metafile))
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exit(errors)
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118
test/test_metadata.py
Normal file
118
test/test_metadata.py
Normal file
@ -0,0 +1,118 @@
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"""
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Verify the metadata specified in the META.yml files.
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"""
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import copy
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import itertools
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import os
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import pqclean
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import yaml
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import unittest
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def test_metadata():
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for scheme in pqclean.Scheme.all_schemes():
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yield check_metadata, scheme.name
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def check_metadata(scheme_name):
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scheme = pqclean.Scheme.by_name(scheme_name)
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metadata = scheme.metadata()
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specification = EXPECTED_FIELDS.items()
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if scheme.type == 'kem':
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specification = itertools.chain(specification, KEM_FIELDS.items())
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elif scheme.type == 'sign':
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specification = itertools.chain(specification, SIGNATURE_FIELDS.items())
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else:
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assert(False)
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check_spec(copy.deepcopy(metadata), specification)
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implementation_names_in_yaml = set(i['name'] for i in metadata['implementations'])
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implementations_on_disk = set(i.name for i in scheme.implementations)
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if implementation_names_in_yaml != implementations_on_disk:
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raise AssertionError("Implementations in YAML file {} and implementations on disk {} do not match"
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.format(implementation_names_in_yaml, implementations_on_disk))
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EXPECTED_FIELDS = {
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'name': {'type': str},
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'type': {'type': str},
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'claimed-nist-level': {'type': int, 'min': 1, 'max': 5},
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'length-public-key': {'type': int, 'min': 1},
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'testvectors-sha256': {'type': str, 'length': 64},
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'principal-submitter': {'type': str},
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'auxiliary-submitters': {'type': list, 'elements': {'type': str}},
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'implementations': {
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'type': list,
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'elements': {
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'type': dict,
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'spec': {
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'name': {'type': str},
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'version': {'type': str},
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},
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},
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},
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}
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KEM_FIELDS = {
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'length-ciphertext': {'type': int, 'min': 1},
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}
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SIGNATURE_FIELDS = {
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'length-signature': {'type': int, 'min': 1},
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}
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def check_spec(metadata, spec):
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for field, props in spec:
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if field not in metadata:
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raise AssertionError("Field '{}' not present.".format(field))
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# validate element
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check_element(field, metadata[field], props)
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# delete it to detect extras
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del metadata[field]
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# Done checking all specified fields, check if we have extras
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for field, value in metadata.items():
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raise AssertionError("Unexpected item '{}' with value '{}'".format(field, value))
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def check_element(field, element, props):
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type_ = props['type']
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# Validate type of element
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type_(element)
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# Strs are valid lists otherwise
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if type_ == list and type(element) != list:
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raise ValueError("Field {} not a list".format(field))
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# lists are valid dicts otherwise
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if type_ == dict and type(element) != dict:
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raise ValueError("Field {} not a dict".format(field))
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if type_ == int:
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element = int(element)
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if 'min' in props:
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if element < props['min']:
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raise ValueError("Value of field '{}' is lower than minimum "
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"value {}".format(field, props['min']))
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if 'max' in props:
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if element > props['max']:
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raise ValueError("Value of field '{}' is larger than maximum"
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" value {}".format(field, metafile, props['max']))
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if type_ == str:
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if 'length' in props:
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actual_len = len(element)
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if actual_len != props['length']:
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raise ValueError("Value of field '{}' should be length {}"
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" but was length {}"
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.format(field, props['length'], actual_len))
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if type_ == list: # recursively check the elements
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for el in element:
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check_element('element of {}'.format(field), el, props['elements'])
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if type_ == dict:
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check_spec(element, props['spec'].items())
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