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bazarr/libs/flask_restx/mask.py
2022-11-07 13:08:27 -05:00

187 lines
5.3 KiB
Python

import logging
import re
from collections import OrderedDict
from inspect import isclass
from .errors import RestError
log = logging.getLogger(__name__)
LEXER = re.compile(r"\{|\}|\,|[\w_:\-\*]+")
class MaskError(RestError):
"""Raised when an error occurs on mask"""
pass
class ParseError(MaskError):
"""Raised when the mask parsing failed"""
pass
class Mask(OrderedDict):
"""
Hold a parsed mask.
:param str|dict|Mask mask: A mask, parsed or not
:param bool skip: If ``True``, missing fields won't appear in result
"""
def __init__(self, mask=None, skip=False, **kwargs):
self.skip = skip
if isinstance(mask, str):
super(Mask, self).__init__()
self.parse(mask)
elif isinstance(mask, (dict, OrderedDict)):
super(Mask, self).__init__(mask, **kwargs)
else:
self.skip = skip
super(Mask, self).__init__(**kwargs)
def parse(self, mask):
"""
Parse a fields mask.
Expect something in the form::
{field,nested{nested_field,another},last}
External brackets are optionals so it can also be written::
field,nested{nested_field,another},last
All extras characters will be ignored.
:param str mask: the mask string to parse
:raises ParseError: when a mask is unparseable/invalid
"""
if not mask:
return
mask = self.clean(mask)
fields = self
previous = None
stack = []
for token in LEXER.findall(mask):
if token == "{":
if previous not in fields:
raise ParseError("Unexpected opening bracket")
fields[previous] = Mask(skip=self.skip)
stack.append(fields)
fields = fields[previous]
elif token == "}":
if not stack:
raise ParseError("Unexpected closing bracket")
fields = stack.pop()
elif token == ",":
if previous in (",", "{", None):
raise ParseError("Unexpected comma")
else:
fields[token] = True
previous = token
if stack:
raise ParseError("Missing closing bracket")
def clean(self, mask):
"""Remove unnecessary characters"""
mask = mask.replace("\n", "").strip()
# External brackets are optional
if mask[0] == "{":
if mask[-1] != "}":
raise ParseError("Missing closing bracket")
mask = mask[1:-1]
return mask
def apply(self, data):
"""
Apply a fields mask to the data.
:param data: The data or model to apply mask on
:raises MaskError: when unable to apply the mask
"""
from . import fields
# Should handle lists
if isinstance(data, (list, tuple, set)):
return [self.apply(d) for d in data]
elif isinstance(data, (fields.Nested, fields.List, fields.Polymorph)):
return data.clone(self)
elif type(data) == fields.Raw:
return fields.Raw(default=data.default, attribute=data.attribute, mask=self)
elif data == fields.Raw:
return fields.Raw(mask=self)
elif (
isinstance(data, fields.Raw)
or isclass(data)
and issubclass(data, fields.Raw)
):
# Not possible to apply a mask on these remaining fields types
raise MaskError("Mask is inconsistent with model")
# Should handle objects
elif not isinstance(data, (dict, OrderedDict)) and hasattr(data, "__dict__"):
data = data.__dict__
return self.filter_data(data)
def filter_data(self, data):
"""
Handle the data filtering given a parsed mask
:param dict data: the raw data to filter
:param list mask: a parsed mask to filter against
:param bool skip: whether or not to skip missing fields
"""
out = {}
for field, content in self.items():
if field == "*":
continue
elif isinstance(content, Mask):
nested = data.get(field, None)
if self.skip and nested is None:
continue
elif nested is None:
out[field] = None
else:
out[field] = content.apply(nested)
elif self.skip and field not in data:
continue
else:
out[field] = data.get(field, None)
if "*" in self.keys():
for key, value in data.items():
if key not in out:
out[key] = value
return out
def __str__(self):
return "{{{0}}}".format(
",".join(
[
"".join((k, str(v))) if isinstance(v, Mask) else k
for k, v in self.items()
]
)
)
def apply(data, mask, skip=False):
"""
Apply a fields mask to the data.
:param data: The data or model to apply mask on
:param str|Mask mask: the mask (parsed or not) to apply on data
:param bool skip: If rue, missing field won't appear in result
:raises MaskError: when unable to apply the mask
"""
return Mask(mask, skip).apply(data)