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import math
from strictyaml.exceptions import YAMLSerializationError
from strictyaml.validators import Validator
from strictyaml.representation import YAML
from strictyaml import constants
from strictyaml import utils
from datetime import datetime
import dateutil.parser
import decimal
import sys
import re
import urllib.parse
from strictyaml.ruamel.scalarstring import PreservedScalarString
if sys.version_info[0] == 3:
unicode = str
class ScalarValidator(Validator):
@property
def rule_description(self):
return "a {0}".format(self.__class__.__name__.lower())
def __call__(self, chunk):
chunk.expect_scalar(self.rule_description)
return YAML(chunk, validator=self)
def validate(self, chunk):
return self.validate_scalar(chunk)
def should_be_string(self, data, message):
if not utils.is_string(data):
raise YAMLSerializationError(
"{0} got '{1}' of type {2}.".format(message, data, type(data).__name__)
)
def validate_scalar(self, chunk):
raise NotImplementedError("validate_scalar(self, chunk) must be implemented")
class Enum(ScalarValidator):
def __init__(self, restricted_to, item_validator=None):
self._item_validator = Str() if item_validator is None else item_validator
assert isinstance(
self._item_validator, ScalarValidator
), "item validator must be scalar too"
self._restricted_to = restricted_to
def validate_scalar(self, chunk):
val = self._item_validator(chunk)
val._validator = self
if val.scalar not in self._restricted_to:
chunk.expecting_but_found(
"when expecting one of: {0}".format(
", ".join(map(str, self._restricted_to))
)
)
else:
return val
def to_yaml(self, data):
if data not in self._restricted_to:
raise YAMLSerializationError(
"Got '{0}' when expecting one of: {1}".format(
data, ", ".join(map(str, self._restricted_to))
)
)
return self._item_validator.to_yaml(data)
def __repr__(self):
# TODO : item_validator
return "Enum({0})".format(repr(self._restricted_to))
class CommaSeparated(ScalarValidator):
def __init__(self, item_validator):
self._item_validator = item_validator
assert isinstance(
self._item_validator, ScalarValidator
), "item validator must be scalar too"
def validate_scalar(self, chunk):
if chunk.contents == "":
return []
return [
self._item_validator.validate_scalar(
chunk.textslice(positions[0], positions[1])
)
for positions in utils.comma_separated_positions(chunk.contents)
]
def to_yaml(self, data):
if isinstance(data, list):
return ", ".join([self._item_validator.to_yaml(item) for item in data])
elif utils.is_string(data):
for item in data.split(","):
self._item_validator.to_yaml(item)
return data
else:
raise YAMLSerializationError(
"expected string or list, got '{}' of type '{}'".format(
data, type(data).__name__
)
)
def __repr__(self):
return "CommaSeparated({0})".format(self._item_validator)
class Regex(ScalarValidator):
def __init__(self, regular_expression):
"""
Give regular expression, e.g. u'[0-9]'
"""
self._regex = regular_expression
# re.fullmatch is only available in Python 3.4+ so append "$" if needed
if not regular_expression.endswith(r"$"):
regular_expression += r"$"
self._fullmatch = re.compile(regular_expression).match
self._matching_message = "when expecting string matching {0}".format(
self._regex
)
def validate_scalar(self, chunk):
if self._fullmatch(chunk.contents) is None:
chunk.expecting_but_found(
self._matching_message, "found non-matching string"
)
return chunk.contents
def to_yaml(self, data):
self.should_be_string(data, self._matching_message)
if self._fullmatch(data) is None:
raise YAMLSerializationError(
"{} found '{}'".format(self._matching_message, data)
)
return data
class Email(Regex):
def __init__(self):
super(Email, self).__init__(constants.REGEXES["email"])
self._matching_message = "when expecting an email address"
class Url(ScalarValidator):
def __is_absolute_url(self, raw):
try:
ret = urllib.parse.urlparse(raw)
return ret.scheme != "" and ret.netloc != ""
except ValueError:
return False
def validate_scalar(self, chunk):
if not self.__is_absolute_url(chunk.contents):
chunk.expecting_but_found("when expecting a URL")
return chunk.contents
def to_yaml(self, data):
self.should_be_string(data, "expected a URL,")
if not self.__is_absolute_url(data):
raise YAMLSerializationError("'{}' is not a URL".format(data))
return data
class Str(ScalarValidator):
def validate_scalar(self, chunk):
return chunk.contents
def to_yaml(self, data):
if not utils.is_string(data):
raise YAMLSerializationError("'{}' is not a string".format(data))
if "\n" in data:
return PreservedScalarString(data)
return data
class Int(ScalarValidator):
def validate_scalar(self, chunk):
val = chunk.contents
if not utils.is_integer(val):
chunk.expecting_but_found("when expecting an integer")
else:
# Only Python 3.6+ supports underscores in numeric literals
return int(val.replace("_", ""))
def to_yaml(self, data):
if utils.is_string(data) or isinstance(data, int):
if utils.is_integer(str(data)):
return str(data)
raise YAMLSerializationError("'{}' not an integer.".format(data))
class HexInt(ScalarValidator):
def validate_scalar(self, chunk):
val = chunk.contents
if not utils.is_hexadecimal(val):
chunk.expecting_but_found("when expecting a hexadecimal integer")
return int(val, 16)
def to_yaml(self, data):
if utils.is_hexadecimal(data):
if isinstance(data, int):
return hex(data)
else:
return data
raise YAMLSerializationError("'{}' not a hexademial integer.".format(data))
class Bool(ScalarValidator):
def validate_scalar(self, chunk):
val = chunk.contents
if unicode(val).lower() not in constants.BOOL_VALUES:
chunk.expecting_but_found(
"""when expecting a boolean value (one of "{0}")""".format(
'", "'.join(constants.BOOL_VALUES)
)
)
else:
if val.lower() in constants.TRUE_VALUES:
return True
else:
return False
def to_yaml(self, data):
if not isinstance(data, bool):
if str(data).lower() in constants.BOOL_VALUES:
return data
else:
raise YAMLSerializationError("Not a boolean")
else:
return "yes" if data else "no"
class Float(ScalarValidator):
def validate_scalar(self, chunk):
val = chunk.contents
if utils.is_infinity(val) or utils.is_not_a_number(val):
val = val.replace(".", "")
elif not utils.is_decimal(val):
chunk.expecting_but_found("when expecting a float")
# Only Python 3.6+ supports underscores in numeric literals
return float(val.replace("_", ""))
def to_yaml(self, data):
if utils.has_number_type(data):
if math.isnan(data):
return "nan"
if data == float("inf"):
return "inf"
if data == float("-inf"):
return "-inf"
return str(data)
if utils.is_string(data) and utils.is_decimal(data):
return data
raise YAMLSerializationError("when expecting a float, got '{}'".format(data))
class Decimal(ScalarValidator):
def validate_scalar(self, chunk):
val = chunk.contents
if not utils.is_decimal(val):
chunk.expecting_but_found("when expecting a decimal")
else:
return decimal.Decimal(val)
class Datetime(ScalarValidator):
def validate_scalar(self, chunk):
try:
return dateutil.parser.parse(chunk.contents)
except ValueError:
chunk.expecting_but_found("when expecting a datetime")
def to_yaml(self, data):
if isinstance(data, datetime):
return data.isoformat()
if utils.is_string(data):
try:
dateutil.parser.parse(data)
return data
except ValueError:
raise YAMLSerializationError(
"expected a datetime, got '{}'".format(data)
)
raise YAMLSerializationError(
"expected a datetime, got '{}' of type '{}'".format(
data, type(data).__name__
)
)
class NullNone(ScalarValidator):
def validate_scalar(self, chunk):
val = chunk.contents
if val.lower() != "null":
chunk.expecting_but_found(
"when expecting a 'null', got '{}' instead.".format(val)
)
else:
return self.empty(chunk)
def empty(self, chunk):
return None
def to_yaml(self, data):
if data is None:
return "null"
raise YAMLSerializationError("expected None, got '{}'")
class EmptyNone(ScalarValidator):
def validate_scalar(self, chunk):
val = chunk.contents
if val != "":
chunk.expecting_but_found("when expecting an empty value")
else:
return self.empty(chunk)
def empty(self, chunk):
return None
def to_yaml(self, data):
if data is None:
return ""
raise YAMLSerializationError("expected None, got '{}'")
class EmptyDict(EmptyNone):
def empty(self, chunk):
return {}
def to_yaml(self, data):
if data == {}:
return ""
raise YAMLSerializationError("Not an empty dict")
class EmptyList(EmptyNone):
def empty(self, chunk):
return []
def to_yaml(self, data):
if data == []:
return ""
raise YAMLSerializationError("expected empty list, got '{}'")
|
