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195 lines
5.2 KiB
Python
195 lines
5.2 KiB
Python
""" schema format representation """
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import typing
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from dataclasses import dataclass, field
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from typing import List, Set, Union, Dict, Optional
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from enum import Enum, auto
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import functools
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class Error(Exception):
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def __str__(self):
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return self.args[0]
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def _check_type(t: Optional[str], known: typing.Iterable[str]):
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if t is not None and t not in known:
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raise Error(f"Unknown type {t}")
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@dataclass
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class Property:
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class Kind(Enum):
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SINGLE = auto()
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REPEATED = auto()
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OPTIONAL = auto()
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REPEATED_OPTIONAL = auto()
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PREDICATE = auto()
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kind: Kind
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name: Optional[str] = None
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type: Optional[str] = None
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is_child: bool = False
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pragmas: List[str] = field(default_factory=list)
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doc: Optional[str] = None
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description: List[str] = field(default_factory=list)
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@property
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def is_single(self) -> bool:
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return self.kind == self.Kind.SINGLE
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@property
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def is_optional(self) -> bool:
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return self.kind in (self.Kind.OPTIONAL, self.Kind.REPEATED_OPTIONAL)
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@property
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def is_repeated(self) -> bool:
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return self.kind in (self.Kind.REPEATED, self.Kind.REPEATED_OPTIONAL)
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@property
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def is_predicate(self) -> bool:
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return self.kind == self.Kind.PREDICATE
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@property
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def has_class_type(self) -> bool:
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return bool(self.type) and self.type[0].isupper()
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@property
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def has_builtin_type(self) -> bool:
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return bool(self.type) and self.type[0].islower()
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SingleProperty = functools.partial(Property, Property.Kind.SINGLE)
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OptionalProperty = functools.partial(Property, Property.Kind.OPTIONAL)
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RepeatedProperty = functools.partial(Property, Property.Kind.REPEATED)
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RepeatedOptionalProperty = functools.partial(
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Property, Property.Kind.REPEATED_OPTIONAL)
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PredicateProperty = functools.partial(Property, Property.Kind.PREDICATE)
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@dataclass
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class IpaInfo:
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from_class: Optional[str] = None
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on_arguments: Optional[Dict[str, str]] = None
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@dataclass
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class Class:
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name: str
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bases: List[str] = field(default_factory=list)
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derived: Set[str] = field(default_factory=set)
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properties: List[Property] = field(default_factory=list)
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group: str = ""
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pragmas: List[str] = field(default_factory=list)
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ipa: Optional[Union[IpaInfo, bool]] = None
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"""^^^ filled with `True` for non-final classes with only synthesized final descendants """
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doc: List[str] = field(default_factory=list)
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default_doc_name: Optional[str] = None
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@property
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def final(self):
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return not self.derived
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def check_types(self, known: typing.Iterable[str]):
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for b in self.bases:
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_check_type(b, known)
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for d in self.derived:
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_check_type(d, known)
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for p in self.properties:
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_check_type(p.type, known)
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if self.ipa is not None:
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_check_type(self.ipa.from_class, known)
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if self.ipa.on_arguments is not None:
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for t in self.ipa.on_arguments.values():
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_check_type(t, known)
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@dataclass
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class Schema:
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classes: Dict[str, Class] = field(default_factory=dict)
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includes: Set[str] = field(default_factory=set)
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null: Optional[str] = None
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@property
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def root_class(self):
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# always the first in the dictionary
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return next(iter(self.classes.values()))
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@property
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def null_class(self):
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return self.classes[self.null] if self.null else None
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predicate_marker = object()
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TypeRef = Union[type, str]
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@functools.singledispatch
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def get_type_name(arg: TypeRef) -> str:
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raise Error(f"Not a schema type or string ({arg})")
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@get_type_name.register
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def _(arg: type):
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return arg.__name__
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@get_type_name.register
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def _(arg: str):
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return arg
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@functools.singledispatch
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def _make_property(arg: object) -> Property:
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if arg is predicate_marker:
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return PredicateProperty()
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raise Error(f"Illegal property specifier {arg}")
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@_make_property.register(str)
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@_make_property.register(type)
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def _(arg: TypeRef):
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return SingleProperty(type=get_type_name(arg))
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@_make_property.register
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def _(arg: Property):
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return arg
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class PropertyModifier:
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""" Modifier of `Property` objects.
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Being on the right of `|` it will trigger construction of a `Property` from
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the left operand.
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"""
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def __ror__(self, other: object) -> Property:
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ret = _make_property(other)
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self.modify(ret)
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return ret
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def modify(self, prop: Property):
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raise NotImplementedError
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def split_doc(doc):
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# implementation inspired from https://peps.python.org/pep-0257/
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if not doc:
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return []
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lines = doc.splitlines()
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# Determine minimum indentation (first line doesn't count):
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strippedlines = (line.lstrip() for line in lines[1:])
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indents = [len(line) - len(stripped) for line, stripped in zip(lines[1:], strippedlines) if stripped]
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# Remove indentation (first line is special):
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trimmed = [lines[0].strip()]
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if indents:
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indent = min(indents)
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trimmed.extend(line[indent:].rstrip() for line in lines[1:])
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# Strip off trailing and leading blank lines:
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while trimmed and not trimmed[-1]:
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trimmed.pop()
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while trimmed and not trimmed[0]:
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trimmed.pop(0)
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return trimmed
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