def _validate_range(self, max_, min_, max_ex, min_ex, value, path, prefix):
"""
Validate that value is within range values.
"""
if not isinstance(value, int) and not isinstance(value, float):
raise CoreError("Value must be a integer type")
log.debug(
u"Validate range : %s : %s : %s : %s : %s : %s",
max_,
min_,
max_ex,
min_ex,
value,
path,
)
if max_ is not None:
if max_ < value:
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=
u"Type '{prefix}' has size of '{value}', greater than max limit '{max_}'. Path: '{path}'",
path=path,
value=nativestr(value) if tt['str'](value) else value,
prefix=prefix,
max_=max_))
if min_ is not None:
if min_ > value:
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=
u"Type '{prefix}' has size of '{value}', less than min limit '{min_}'. Path: '{path}'",
path=path,
value=nativestr(value) if tt['str'](value) else value,
prefix=prefix,
min_=min_))
if max_ex is not None:
if max_ex <= value:
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=
u"Type '{prefix}' has size of '{value}', greater than or equals to max limit(exclusive) '{max_ex}'. Path: '{path}'",
path=path,
value=nativestr(value) if tt['str'](value) else value,
prefix=prefix,
max_ex=max_ex))
if min_ex is not None:
if min_ex >= value:
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=
u"Type '{prefix}' has size of '{value}', less than or equals to min limit(exclusive) '{min_ex}'. Path: '{path}'",
path=path,
value=nativestr(value) if tt['str'](value) else value,
prefix=prefix,
min_ex=min_ex))
def _validate_include(self, value, rule, path, done=None):
"""
"""
# TODO: It is difficult to get a good test case to trigger this if case
if rule.include_name is None:
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=u'Include name not valid',
path=path,
value=value.encode('unicode_escape')))
return
include_name = rule.include_name
partial_schema_rule = pykwalify.partial_schemas.get(include_name)
if not partial_schema_rule:
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=
u"Cannot find partial schema with name '{include_name}'. Existing partial schemas: '{existing_schemas}'. Path: '{path}'",
path=path,
value=value,
include_name=include_name,
existing_schemas=", ".join(
sorted(pykwalify.partial_schemas.keys()))))
return
self._validate(value, partial_schema_rule, path, done)
def _validate(self, value, rule, path, done):
"""
"""
log.debug(u"Core validate")
log.debug(u" Root validate : Rule: %s", rule)
log.debug(u" Root validate : Rule_type: %s", rule.type)
log.debug(u" Root validate : Seq: %s", rule.sequence)
log.debug(u" Root validate : Map: %s", rule.mapping)
log.debug(u" Root validate : Done: %s", done)
if rule.required and value is None and not rule.type == 'none':
self.errors.append(SchemaError.SchemaErrorEntry(
msg=u"required.novalue : '{path}'",
path=path,
value=value.encode('unicode_escape') if value else value,
))
return
if not rule.nullable and value is None and not rule.type == 'none':
self.errors.append(SchemaError.SchemaErrorEntry(
msg=u"nullable.novalue : '{path}'",
path=path,
value=value.encode('unicode_escape') if value else value,
))
return
log.debug(u" ? ValidateRule: %s", rule)
if rule.include_name is not None:
self._validate_include(value, rule, path, done=None)
elif rule.sequence is not None:
self._validate_sequence(value, rule, path, done=None)
elif rule.mapping is not None or rule.allowempty_map:
self._validate_mapping(value, rule, path, done=None)
else:
self._validate_scalar(value, rule, path, done=None)
def _validate_range(self, max_, min_, max_ex, min_ex, errors, value, path,
prefix):
"""
Validate that value is within range values.
"""
log.debug("Validate range : {} : {} : {} : {} : {} : {}".format(
max_,
min_,
max_ex,
min_ex,
value,
path,
))
if max_ is not None:
if max_ < value:
errors.append(
SchemaError.SchemaErrorEntry(
msg=
"Type '{prefix}' has size of '{value}', greater than max limit '{max_}'. Path: '{path}'",
path=path,
value=value,
prefix=prefix,
max_=max_))
if min_ is not None:
if min_ > value:
errors.append(
SchemaError.SchemaErrorEntry(
msg=
"Type '{prefix}' has size of '{value}', less than min limit '{min_}'. Path: '{path}'",
path=path,
value=value,
prefix=prefix,
min_=min_))
if max_ex is not None:
if max_ex <= value:
errors.append(
SchemaError.SchemaErrorEntry(
msg=
"Type '{prefix}' has size of '{value}', greater than or equals to max limit(exclusive) '{max_ex}'. Path: '{path}'",
path=path,
value=value,
prefix=prefix,
max_ex=max_ex))
if min_ex is not None:
if min_ex >= value:
errors.append(
SchemaError.SchemaErrorEntry(
msg=
"Type '{prefix}' has size of '{value}', less than or equals to min limit(exclusive) '{min_ex}'. Path: '{path}'",
path=path,
value=value,
prefix=prefix,
min_ex=min_ex))
def _validate_scalar_date(self, date_value, date_formats, path):
log.debug(u"Validate date : %(value)s : %(format)s : %(path)s" % {
'value': date_value,
'format': date_formats,
'path': path,
})
if isinstance(date_value, str):
# If a date_format is specefied then use strptime on all formats
# If no date_format is specefied then use dateutils.parse() to test the value
log.debug(date_formats)
if date_formats:
# Run through all date_formats and it is valid if atleast one of them passed time.strptime() parsing
valid = False
for date_format in date_formats:
try:
time.strptime(date_value, date_format)
valid = True
except ValueError:
pass
if not valid:
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=
u"Not a valid date: {value} format: {format}. Path: '{path}'",
path=path,
value=date_value,
format=date_format,
))
return
else:
try:
parse(date_value)
except ValueError:
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=u"Not a valid date: {value} Path: '{path}'",
path=path,
value=date_value,
))
elif isinstance(date_value, (datetime.date, datetime.datetime)):
# If the object already is a datetime or date object it passes validation
pass
else:
# If value is any other type then raise error
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=
u"Not a valid date: {value} date must be a string or a datetime.date not a '{type}'",
path=path,
value=date_value,
type=type(date_value).__name__,
))
def _validate_assert(self, rule, value, path):
if not self.allow_assertions:
raise CoreError('To allow usage of keyword "assert" you must use cli flag "--allow-assertions" or set the keyword "allow_assert" in Core class')
# Small hack to make strings work as a value.
if isinstance(value, str):
assert_value_str = '"{0}"'.format(value)
else:
assert_value_str = '{0}'.format(value)
assertion_string = "val = {0}; assert {1}".format(assert_value_str, rule.assertion)
try:
exec(assertion_string, {}, {})
except AssertionError:
self.errors.append(SchemaError.SchemaErrorEntry(
msg=u"Value: '{0}' assertion expression failed ({1})".format(value, rule.assertion),
path=path,
value=value,
))
return
except Exception as err:
error_class = err.__class__.__name__
detail = err.args[0]
cl, exc, tb = sys.exc_info()
line_number = traceback.extract_tb(tb)[-1][1]
raise Exception("Unknown error during assertion\n{0}\n{1}\n{2}\n{3}\n{4}\n{5}".format(
error_class, detail, cl, exc, tb, line_number,
))
def _validate_length(self, rule, value, path, prefix):
if not is_string(value):
raise CoreError("Value: '{0}' must be a 'str' type for length check to work".format(value))
value_length = len(str(value))
max_, min_, max_ex, min_ex = rule.get('max'), rule.get('min'), rule.get('max-ex'), rule.get('min-ex')
log.debug(
u"Validate length : %s : %s : %s : %s : %s : %s",
max, min, max_ex, min_ex, value, path,
)
if max_ is not None and max_ < value_length:
self.errors.append(SchemaError.SchemaErrorEntry(
msg=u"Value: '{value_str}' has length of '{value}', greater than max limit '{max_}'. Path: '{path}'",
value_str=value,
path=path,
value=len(value),
prefix=prefix,
max_=max_))
if min_ is not None and min_ > value_length:
self.errors.append(SchemaError.SchemaErrorEntry(
msg=u"Value: '{value_str}' has length of '{value}', greater than min limit '{min_}'. Path: '{path}'",
value_str=value,
path=path,
value=len(value),
prefix=prefix,
min_=min_))
if max_ex is not None and max_ex <= value_length:
self.errors.append(SchemaError.SchemaErrorEntry(
msg=u"Value: '{value_str}' has length of '{value}', greater than max_ex limit '{max_ex}'. Path: '{path}'",
value_str=value,
path=path,
value=len(value),
prefix=prefix,
max_ex=max_ex))
if min_ex is not None and min_ex >= value_length:
self.errors.append(SchemaError.SchemaErrorEntry(
msg=u"Value: '{value_str}' has length of '{value}', greater than min_ex limit '{min_ex}'. Path: '{path}'",
value_str=value,
path=path,
value=len(value),
prefix=prefix,
min_ex=min_ex))
def _check_int_timestamp_boundaries(timestamp):
"""
"""
if timestamp < 1:
# Timestamp integers can't be negative
self.errors.append(SchemaError.SchemaErrorEntry(
msg=u"Integer value of timestamp can't be below 0",
path=path,
value=timestamp,
timestamp=str(timestamp),
))
if timestamp > 2147483647:
# Timestamp integers can't be above the upper limit of
# 32 bit integers
self.errors.append(SchemaError.SchemaErrorEntry(
msg=u"Integer value of timestamp can't be above 2147483647",
path=path,
value=timestamp,
timestamp=str(timestamp),
))
def _validate_scalar_type(self, value, t, errors, path):
log.debug("Core scalar: validating scalar type : {}".format(t))
log.debug("Core scalar: scalar type: {}".format(type(value)))
try:
if not tt[t](value):
errors.append(
SchemaError.SchemaErrorEntry(
msg=
"Value '{value}' is not of type '{scalar_type}'. Path: '{path}'",
path=path,
value=value,
scalar_type=t))
except Exception:
# Type not found in map
raise Exception("Unknown type check: {} : {} : {}".format(
path, value, t))
def _validate_scalar_type(self, value, t, path):
log.debug(u" # Core scalar: validating scalar type : %s", t)
log.debug(u" # Core scalar: scalar type: %s", type(value))
try:
if not tt[t](value):
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=
u"Value '{value}' is not of type '{scalar_type}'. Path: '{path}'",
path=path,
value=unicode(value) if tt['str'](value) else value,
scalar_type=t))
except Exception as e:
# Type not found in map
log.debug(e)
raise Exception(u"Unknown type check: %s : %s : %s", path, value,
t)
def _validate_scalar_type(self, value, t, path):
"""
"""
log.debug(u" # Core scalar: validating scalar type : %s", t)
log.debug(u" # Core scalar: scalar type: %s", type(value))
try:
if not tt[t](value):
self.errors.append(SchemaError.SchemaErrorEntry(
msg=u"Value '{value}' is not of type '{scalar_type}'. Path: '{path}'",
path=path,
value=unicode(value) if tt['str'](value) else value,
scalar_type=t))
return False
return True
except KeyError as e:
# Type not found in valid types mapping
log.debug(e)
raise CoreError(u"Unknown type check: {0!s} : {1!s} : {2!s}".format(path, value, t))
def _handle_func(self, value, rule, path, done=None):
"""
Helper function that should check if func is specified for this rule and
then handle it for all cases in a generic way.
"""
func = rule.func
# func keyword is not defined so nothing to do
if not func:
return
found_method = False
for extension in self.loaded_extensions:
method = getattr(extension, func, None)
if method:
found_method = True
# No exception will should be caught. If one is raised it should bubble up all the way.
ret = method(value, rule, path)
if ret is not True and ret is not None:
msg = '%s. Path: {path}' % unicode(ret)
self.errors.append(
SchemaError.SchemaErrorEntry(msg=msg,
path=path,
value=None))
# If False or None or some other object that is interpreted as False
if not ret:
raise CoreError(
u"Error when running extension function : {0}".format(
func))
# Only run the first matched function. Sinc loading order is determined
# it should be easy to determine which file is used before others
break
if not found_method:
raise CoreError(
u"Did not find method '{0}' in any loaded extension file".
format(func))
def _validate_sequence(self, value, rule, path, done=None):
"""
"""
log.debug(u"Core Validate sequence")
log.debug(u" Sequence : Data: %s", value)
log.debug(u" Sequence : Rule: %s", rule)
log.debug(u" Sequence : RuleType: %s", rule.type)
log.debug(u" Sequence : Path: %s", path)
log.debug(u" Sequence : Seq: %s", rule.sequence)
log.debug(u" Sequence : Map: %s", rule.mapping)
if len(rule.sequence) <= 0:
raise CoreError(
u"Sequence must contains atleast one item : {0}".format(path))
if value is None:
log.debug(u" * Core seq: sequence data is None")
return
if not isinstance(value, list):
if isinstance(value, str):
value = value.encode('unicode_escape')
self.errors.append(
SchemaError.SchemaErrorEntry(
u"Value '{value}' is not a list. Value path: '{path}'",
path,
value,
))
return
# Handle 'func' argument on this sequence
self._handle_func(value, rule, path, done)
ok_values = []
error_tracker = []
unique_errors = {}
map_unique_errors = {}
for i, item in enumerate(value):
processed = []
for r in rule.sequence:
tmp_errors = []
try:
# Create a sub core object to enable error tracking that do not
# collide with this Core objects errors
tmp_core = Core(source_data={}, schema_data={})
tmp_core.fix_ruby_style_regex = self.fix_ruby_style_regex
tmp_core.allow_assertions = self.allow_assertions
tmp_core.strict_rule_validation = self.strict_rule_validation
tmp_core.loaded_extensions = self.loaded_extensions
tmp_core._validate(item, r, "{0}/{1}".format(path, i),
done)
tmp_errors = tmp_core.errors
except NotMappingError:
# For example: If one type was specified as 'map' but data
# was 'str' a exception will be thrown but we should ignore it
pass
except NotSequenceError:
# For example: If one type was specified as 'seq' but data
# was 'str' a exception will be thrown but we shold ignore it
pass
processed.append(tmp_errors)
if r.type == "map":
log.debug(u" * Found map inside sequence")
unique_keys = []
if r.mapping is None:
log.debug(
u" + No rule to apply, prolly because of allowempty: True"
)
return
for k, _rule in r.mapping.items():
log.debug(u" * Key: %s", k)
log.debug(u" * Rule: %s", _rule)
if _rule.unique or _rule.ident:
unique_keys.append(k)
if len(unique_keys) > 0:
for v in unique_keys:
table = {}
for j, V in enumerate(value):
# If key do not exists it should be ignored by unique because that is not a broken constraint
val = V.get(v, None)
if val is None:
continue
if val in table:
curr_path = "{0}/{1}/{2}".format(
path, j, v)
prev_path = "{0}/{1}/{2}".format(
path, table[val], v)
s = SchemaError.SchemaErrorEntry(
msg=
u"Value '{duplicate}' is not unique. Previous path: '{prev_path}'. Path: '{path}'",
path=curr_path,
value=value,
duplicate=val,
prev_path=prev_path,
)
map_unique_errors[s.__repr__()] = s
else:
table[val] = j
elif r.unique:
log.debug(u" * Found unique value in sequence")
table = {}
for j, val in enumerate(value):
if val is None:
continue
if val in table:
curr_path = "{0}/{1}".format(path, j)
prev_path = "{0}/{1}".format(path, table[val])
s = SchemaError.SchemaErrorEntry(
msg=
u"Value '{duplicate}' is not unique. Previous path: '{prev_path}'. Path: '{path}'",
path=curr_path,
value=value,
duplicate=val,
prev_path=prev_path,
)
unique_errors[s.__repr__()] = s
else:
table[val] = j
error_tracker.append(processed)
no_errors = []
for _errors in processed:
no_errors.append(len(_errors) == 0)
if rule.matching == "any":
log.debug(u" * any rule %s", True in no_errors)
ok_values.append(True in no_errors)
elif rule.matching == "all":
log.debug(u" * all rule".format(all(no_errors)))
ok_values.append(all(no_errors))
elif rule.matching == "*":
log.debug(u" * star rule", "...")
ok_values.append(True)
for _error in unique_errors:
self.errors.append(_error)
for _error in map_unique_errors:
self.errors.append(_error)
log.debug(u" * ok : %s", ok_values)
# All values must pass the validation, otherwise add the parsed errors
# to the global error list and throw up some error.
if not all(ok_values):
# Ignore checking for '*' type because it should allways go through
if rule.matching == "any":
log.debug(
u" * Value: %s did not validate against one or more sequence schemas",
value)
elif rule.matching == "all":
log.debug(
u" * Value: %s did not validate against all possible sequence schemas",
value)
for i, is_ok in enumerate(ok_values):
if not is_ok:
for error in error_tracker[i]:
for e in error:
self.errors.append(e)
log.debug(u" * Core seq: validation recursivley done...")
if rule.range is not None:
rr = rule.range
self._validate_range(
rr.get("max"),
rr.get("min"),
rr.get("max-ex"),
rr.get("min-ex"),
len(value),
path,
"seq",
)
def _validate_scalar(self, value, rule, path, errors, done=None):
log.debug("Validate scalar")
log.debug(" # {}".format(value))
log.debug(" # {}".format(rule))
log.debug(" # {}".format(rule._type))
log.debug(" # {}".format(path))
# Handle 'func' argument on this scalar
self._handle_func(value, rule, path, errors, done)
if rule._enum is not None:
if value not in rule._enum:
errors.append(
SchemaError.SchemaErrorEntry(
msg="Enum '{value}' does not exist. Path: '{path}'",
path=path,
value=value))
# Set default value
if rule._default and value is None:
value = rule._default
self._validate_scalar_type(value, rule._type, errors, path)
if value is None:
return
if rule._pattern is not None:
res = re.match(rule._pattern, str(value))
if res is None: # Not matching
errors.append(
SchemaError.SchemaErrorEntry(
msg=
"Value '{value}' does not match pattern '{pattern}'. Path: '{path}'",
path=path,
value=value,
pattern=rule._pattern))
if rule._range is not None:
if not is_scalar(value):
raise CoreError("value is not a valid scalar")
r = rule._range
try:
v = len(value)
value = v
except Exception:
pass
self._validate_range(
r.get("max", None),
r.get("min", None),
r.get("max-ex", None),
r.get("min-ex", None),
errors,
value,
path,
"scalar",
)
# Validate timestamp
if rule._type == "timestamp":
v = value.strip()
# parse("") will give a valid date but it should not be
# considered a valid timestamp
if v == "":
errors.append("timestamp.empty : {} : {}".format(value, path))
else:
try:
parse(value)
# If it can be parsed then it is valid
except Exception:
errors.append("timestamp.invalid : {} : {}".format(
value, path))
def _validate_scalar_timestamp(self, timestamp_value, path):
"""
"""
def _check_int_timestamp_boundaries(timestamp):
"""
"""
if timestamp < 1:
# Timestamp integers can't be negative
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=u"Integer value of timestamp can't be below 0",
path=path,
value=timestamp,
timestamp=str(timestamp),
))
if timestamp > 2147483647:
# Timestamp integers can't be above the upper limit of
# 32 bit integers
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=
u"Integer value of timestamp can't be above 2147483647",
path=path,
value=timestamp,
timestamp=str(timestamp),
))
if isinstance(timestamp_value, (int, float)):
_check_int_timestamp_boundaries(timestamp_value)
elif isinstance(timestamp_value, datetime.datetime):
# Datetime objects currently have nothing to validate.
# In the future, more options will be added to datetime validation
pass
elif isinstance(timestamp_value, basestring):
v = timestamp_value.strip()
# parse("") will give a valid date but it should not be
# considered a valid timestamp
if v == "":
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=u"Timestamp value is empty. Path: '{path}'",
path=path,
value=nativestr(timestamp_value),
timestamp=nativestr(timestamp_value)))
else:
# A string can contain a valid unit timestamp integer. Check if it is valid and validate it
try:
int_v = int(v)
_check_int_timestamp_boundaries(int_v)
except ValueError:
# Just continue to parse it as a timestamp
try:
parse(timestamp_value)
# If it can be parsed then it is valid
except Exception:
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=
u"Timestamp: '{timestamp}'' is invalid. Path: '{path}'",
path=path,
value=nativestr(timestamp_value),
timestamp=nativestr(timestamp_value)))
else:
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=u"Not a valid timestamp",
path=path,
value=timestamp_value,
timestamp=timestamp_value,
))
def _validate_mapping(self, value, rule, path, done=None):
"""
"""
log.debug(u"Validate mapping")
log.debug(u" Mapping : Data: %s", value)
log.debug(u" Mapping : Rule: %s", rule)
log.debug(u" Mapping : RuleType: %s", rule.type)
log.debug(u" Mapping : Path: %s", path)
log.debug(u" Mapping : Seq: %s", rule.sequence)
log.debug(u" Mapping : Map: %s", rule.mapping)
if not isinstance(value, dict):
self.errors.append(
SchemaError.SchemaErrorEntry(
u"Value '{value}' is not a dict. Value path: '{path}'",
path,
value,
))
return
if rule.mapping is None:
log.debug(
u" + No rule to apply, prolly because of allowempty: True")
return
# Handle 'func' argument on this mapping
self._handle_func(value, rule, path, done)
m = rule.mapping
log.debug(u" Mapping: Rule-Mapping: %s", m)
if rule.range is not None:
r = rule.range
self._validate_range(
r.get("max"),
r.get("min"),
r.get("max-ex"),
r.get("min-ex"),
len(value),
path,
"map",
)
for k, rr in m.items():
# Handle if the value of the key contains a include keyword
if rr.include_name is not None:
include_name = rr.include_name
partial_schema_rule = pykwalify.partial_schemas.get(
include_name)
if not partial_schema_rule:
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=
u"Cannot find partial schema with name '{include_name}'. Existing partial schemas: '{existing_schemas}'. Path: '{path}'",
path=path,
value=value,
include_name=include_name,
existing_schemas=", ".join(
sorted(pykwalify.partial_schemas.keys()))))
return
rr = partial_schema_rule
# Find out if this is a regex rule
is_regex_rule = False
required_regex = ""
for regex_rule in rule.regex_mappings:
if k == "regex;({})".format(
regex_rule.map_regex_rule) or k == "re;({})".format(
regex_rule.map_regex_rule):
is_regex_rule = True
required_regex = regex_rule.map_regex_rule
# Check for the presense of the required key
is_present = False
if not is_regex_rule:
is_present = k in value
else:
is_present = any(
[re.search(required_regex, str(v)) for v in value])
# Specifying =: as key is considered the "default" if no other keys match
if rr.required and not is_present and k != "=":
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=u"Cannot find required key '{key}'. Path: '{path}'",
path=path,
value=value,
key=k))
if k not in value and rr.default is not None:
value[k] = rr.default
for k, v in value.items():
# If no other case was a match, check if a default mapping is valid/present and use
# that one instead
r = m.get(k, m.get('='))
log.debug(u" Mapping-value : %s", m)
log.debug(u" Mapping-value : %s %s", k, v)
log.debug(u" Mapping-value : %s", r)
regex_mappings = [(regex_rule,
re.search(regex_rule.map_regex_rule, str(k)))
for regex_rule in rule.regex_mappings]
log.debug(u" Mapping-value: Mapping Regex matches: %s",
regex_mappings)
if r is not None:
# validate recursively
log.debug(
u" Mapping-value: Core Map: validate recursively: %s", r)
self._validate(v, r, u"{0}/{1}".format(path, k), done)
elif any(regex_mappings):
sub_regex_result = []
# Found at least one that matches a mapping regex
for mm in regex_mappings:
if mm[1]:
log.debug(
u" Mapping-value: Matching regex patter: %s",
mm[0])
self._validate(v, mm[0], "{0}/{1}".format(path, k),
done)
sub_regex_result.append(True)
else:
sub_regex_result.append(False)
if rule.matching_rule == "any":
if any(sub_regex_result):
log.debug(
u" Mapping-value: Matched at least one regex")
else:
log.debug(u" Mapping-value: No regex matched")
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=
u"Key '{key}' does not match any regex '{regex}'. Path: '{path}'",
path=path,
value=value,
key=k,
regex="' or '".join(
sorted([
mm[0].map_regex_rule
for mm in regex_mappings
]))))
elif rule.matching_rule == "all":
if all(sub_regex_result):
log.debug(u" Mapping-value: Matched all regex rules")
else:
log.debug(
u" Mapping-value: Did not match all regex rules")
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=
u"Key '{key}' does not match all regex '{regex}'. Path: '{path}'",
path=path,
value=value,
key=k,
regex="' and '".join(
sorted([
mm[0].map_regex_rule
for mm in regex_mappings
]))))
else:
log.debug(u" Mapping-value: No mapping rule defined")
else:
if not rule.allowempty_map:
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=u"Key '{key}' was not defined. Path: '{path}'",
path=path,
value=value,
key=k))
def _validate_scalar(self, value, rule, path, done=None):
"""
"""
log.debug(u"Validate scalar")
log.debug(u" Scalar : Value : %s", value)
log.debug(u" Scalar : Rule : %s", rule)
log.debug(u" Scalar : RuleType : %s", rule.type)
log.debug(u" Scalar : Path %s", path)
# Handle 'func' argument on this scalar
self._handle_func(value, rule, path, done)
if rule.assertion is not None:
self._validate_assert(rule, value, path)
if value is None:
return True
if rule.enum is not None and value not in rule.enum:
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=
u"Enum '{value}' does not exist. Path: '{path}' Enum: {enum_values}",
path=path,
value=nativestr(value) if tt['str'](value) else value,
enum_values=rule.enum,
))
# Set default value
if rule.default and value is None:
value = rule.default
if not self._validate_scalar_type(value, rule.type, path):
return
if value is None:
return
if rule.pattern is not None:
#
# Try to trim away the surrounding slashes around ruby style /<regex>/ if they are defined.
# This is a quirk from ruby that they define regex patterns with surrounding slashes.
# Docs on how ruby regex works can be found here: https://ruby-doc.org/core-2.4.0/Regexp.html
# The original ruby implementation uses this code to validate patterns
# unless value.to_s =~ rule.regexp
# Becuase python do not work with surrounding slashes we have to trim them away in order to make the regex work
#
if rule.pattern.startswith('/') and rule.pattern.endswith(
'/') and self.fix_ruby_style_regex:
rule.pattern = rule.pattern[1:-1]
log.debug(
"Trimming slashes around ruby style regex. New pattern value: '{0}'"
.format(rule.pattern))
try:
log.debug("Matching pattern '{0}' to regex '{1}".format(
rule.pattern, value))
res = re.match(rule.pattern, value, re.UNICODE)
except TypeError:
res = None
if res is None: # Not matching
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=
u"Value '{value}' does not match pattern '{pattern}'. Path: '{path}'",
path=path,
value=nativestr(str(value)),
pattern=rule._pattern))
else:
log.debug("Pattern matched...")
if rule.range is not None:
if not is_scalar(value):
raise CoreError(u"value is not a valid scalar")
r = rule.range
try:
v = len(value)
value = v
except Exception:
pass
self._validate_range(
r.get("max"),
r.get("min"),
r.get("max-ex"),
r.get("min-ex"),
value,
path,
"scalar",
)
if rule.length is not None:
self._validate_length(
rule.length,
value,
path,
'scalar',
)
# Validate timestamp
if rule.type == "timestamp":
self._validate_scalar_timestamp(value, path)
if rule.type == "date":
if not is_scalar(value):
raise CoreError(u'value is not a valid scalar')
date_format = rule.format
self._validate_scalar_date(value, date_format, path)
def _validate_mapping(self, value, rule, path, done=None):
log.debug(u"Validate mapping")
log.debug(u" + Data: %s", value)
log.debug(u" + Rule: %s", rule)
log.debug(u" + RuleType: %s", rule.type)
log.debug(u" + Path: %s", path)
log.debug(u" + Seq: %s", rule.sequence)
log.debug(u" + Map: %s", rule.mapping)
if rule.mapping is None:
log.debug(
u" + No rule to apply, prolly because of allowempty: True")
return
# Handle 'func' argument on this mapping
self._handle_func(value, rule, path, done)
m = rule.mapping
log.debug(u" + RuleMapping: %s", m)
if not isinstance(value, dict):
raise NotMappingError(
u"Value: {} is not of a mapping type".format(value))
if rule.range is not None:
r = rule.range
self._validate_range(
r.get("max", None),
r.get("min", None),
r.get("max-ex", None),
r.get("min-ex", None),
len(value),
path,
"map",
)
for k, rr in m.items():
if rr.required and k not in value:
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=u"Cannot find required key '{key}'. Path: '{path}'",
path=path,
value=value,
key=k))
if k not in value and rr.default is not None:
value[k] = rr.default
for k, v in value.items():
r = m.get(k, None)
log.debug(u" + : %s", m)
log.debug(u" + : %s %s", k, v)
log.debug(u" + : %s", r)
regex_mappings = [(regex_rule,
re.search(regex_rule.map_regex_rule, str(k)))
for regex_rule in rule.regex_mappings]
log.debug(u" + Mapping Regex matches: %s", regex_mappings)
if any(regex_mappings):
sub_regex_result = []
# Found at least one that matches a mapping regex
for mm in regex_mappings:
if mm[1]:
log.debug(u" + Matching regex patter: %s", mm[0])
self._validate(v, mm[0], "{}/{}".format(path, k), done)
sub_regex_result.append(True)
else:
sub_regex_result.append(False)
if rule.matching_rule == "any":
if any(sub_regex_result):
log.debug(u" + Matched at least one regex")
else:
log.debug(u"No regex matched")
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=
u"Key '{key}' does not match any regex '{regex}'. Path: '{path}'",
path=path,
value=value,
key=k,
regex="' or '".join(
sorted([
mm[0].map_regex_rule
for mm in regex_mappings
]))))
elif rule.matching_rule == "all":
if all(sub_regex_result):
log.debug(u" + Matched all regex rules")
else:
log.debug(u"Did not match all regex rules")
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=
u"Key '{key}' does not match all regex '{regex}'. Path: '{path}'",
path=path,
value=value,
key=k,
regex="' and '".join(
sorted([
mm[0].map_regex_rule
for mm in regex_mappings
]))))
else:
log.debug(u" + No mapping rule defined")
elif r is None:
if not rule.allowempty_map:
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=u"Key '{key}' was not defined. Path: '{path}'",
path=path,
value=value,
key=k))
else:
if not r.schema:
# validate recursively
log.debug(u" + Core Map: validate recursively: %s", r)
self._validate(v, r, u"{}/{}".format(path, k), done)
else:
print(u" + Something is ignored Oo : {}".format(r))
def _validate_scalar(self, value, rule, path, done=None):
log.debug(u"Validate scalar")
log.debug(u" # %s", value)
log.debug(u" # %s", rule)
log.debug(u" # %s", rule.type)
log.debug(u" # %s", path)
# Handle 'func' argument on this scalar
self._handle_func(value, rule, path, done)
if rule.enum is not None:
if value not in rule.enum:
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=u"Enum '{value}' does not exist. Path: '{path}'",
path=path,
value=nativestr(value) if tt['str'](value) else value,
))
# Set default value
if rule.default and value is None:
value = rule.default
self._validate_scalar_type(value, rule.type, path)
if value is None:
return
if rule.pattern is not None:
res = re.match(rule.pattern, str(value))
if res is None: # Not matching
self.errors.append(
SchemaError.SchemaErrorEntry(
msg=
u"Value '{value}' does not match pattern '{pattern}'. Path: '{path}'",
path=path,
value=nativestr(str(value)),
pattern=rule._pattern))
if rule.range is not None:
if not is_scalar(value):
raise CoreError(u"value is not a valid scalar")
r = rule.range
try:
v = len(value)
value = v
except Exception:
pass
self._validate_range(
r.get("max", None),
r.get("min", None),
r.get("max-ex", None),
r.get("min-ex", None),
value,
path,
"scalar",
)
# Validate timestamp
if rule.type == "timestamp":
self._validate_scalar_timestamp(value, path)
def _validate_sequence(self, value, rule, path, errors, done=None):
log.debug("Core Validate sequence")
log.debug(" * Data: {}".format(value))
log.debug(" * Rule: {}".format(rule))
log.debug(" * RuleType: {}".format(rule._type))
log.debug(" * Path: {}".format(path))
log.debug(" * Seq: {}".format(rule._sequence))
log.debug(" * Map: {}".format(rule._mapping))
if len(rule._sequence) <= 0:
raise CoreError(
"Sequence must contains atleast one item : {}".format(path))
if value is None:
log.debug("Core seq: sequence data is None")
return
if not isinstance(value, list):
raise NotSequenceError(
"Value: {} is not of a sequence type".format(value))
# Handle 'func' argument on this sequence
self._handle_func(value, rule, path, errors, done)
ok_values = []
error_tracker = []
unique_errors = {}
map_unique_errors = {}
for i, item in enumerate(value):
processed = []
for r in rule._sequence:
tmp_errors = []
try:
self._validate(item, r, "{}/{}".format(path, i),
tmp_errors, done)
except NotMappingError:
# For example: If one type was specified as 'map' but data
# was 'str' a exception will be thrown but we should ignore it
pass
except NotSequenceError:
# For example: If one type was specified as 'seq' but data
# was 'str' a exception will be thrown but we shold ignore it
pass
processed.append(tmp_errors)
if r._type == "map":
log.debug("Found map inside sequence")
unique_keys = []
for k, _rule in r._mapping.items():
log.debug("Key: {}".format(k))
log.debug("Rule: {}".format(_rule))
if _rule._unique or _rule._ident:
unique_keys.append(k)
if len(unique_keys) > 0:
for v in unique_keys:
table = {}
for j, V in enumerate(value):
val = V[v]
if val is None:
continue
if val in table:
curr_path = "{}/{}/{}".format(path, j, v)
prev_path = "{}/{}/{}".format(
path, table[val], v)
s = SchemaError.SchemaErrorEntry(
msg=
"Value '{duplicate}' is not unique. Previous path: '{prev_path}'. Path: '{path}'",
path=curr_path,
value=value,
duplicate=val,
prev_path=prev_path,
)
map_unique_errors[s.__repr__()] = s
else:
table[val] = j
elif r._unique:
log.debug("Found unique value in sequence")
table = {}
for j, val in enumerate(value):
if val is None:
continue
if val in table:
curr_path = "{}/{}".format(path, j)
prev_path = "{}/{}".format(path, table[val])
s = SchemaError.SchemaErrorEntry(
msg=
"Value '{duplicate}' is not unique. Previous path: '{prev_path}'. Path: '{path}'",
path=curr_path,
value=value,
duplicate=val,
prev_path=prev_path,
)
unique_errors[s.__repr__()] = s
else:
table[val] = j
error_tracker.append(processed)
no_errors = []
for _errors in processed:
no_errors.append(len(_errors) == 0)
if rule._matching == "any":
log.debug("any rule {}".format(True in no_errors))
ok_values.append(True in no_errors)
elif rule._matching == "all":
log.debug("all rule".format(all(no_errors)))
ok_values.append(all(no_errors))
elif rule._matching == "*":
log.debug("star rule", "...")
ok_values.append(True)
for _error in unique_errors:
errors.append(_error)
for _error in map_unique_errors:
errors.append(_error)
log.debug("ok : {}".format(ok_values))
# All values must pass the validation, otherwise add the parsed errors
# to the global error list and throw up some error.
if not all(ok_values):
# Ignore checking for '*' type because it should allways go through
if rule._matching == "any":
log.debug(
"Value: {0} did not validate against one or more sequence schemas"
.format(value))
elif rule._matching == "all":
log.debug(
"Value: {0} did not validate against all possible sequence schemas"
.format(value))
for i in range(len(ok_values)):
for error in error_tracker[i]:
for e in error:
errors.append(e)
log.debug("Core seq: validation recursivley done...")
if rule._range is not None:
rr = rule._range
self._validate_range(
rr.get("max", None),
rr.get("min", None),
rr.get("max-ex", None),
rr.get("min-ex", None),
errors,
len(value),
path,
"seq",
)
