""" schema.yml format representation """ import pathlib import re from dataclasses import dataclass, field from typing import List, Set, Dict, ClassVar import yaml root_class_name = "Element" @dataclass class Property: is_single: ClassVar = False is_optional: ClassVar = False is_repeated: ClassVar = False is_predicate: ClassVar = False name: str type: str = None @dataclass class SingleProperty(Property): is_single: ClassVar = True @dataclass class OptionalProperty(Property): is_optional: ClassVar = True @dataclass class RepeatedProperty(Property): is_repeated: ClassVar = True @dataclass class RepeatedOptionalProperty(Property): is_optional: ClassVar = True is_repeated: ClassVar = True @dataclass class PredicateProperty(Property): is_predicate: ClassVar = True @dataclass class Class: name: str bases: Set[str] = field(default_factory=set) derived: Set[str] = field(default_factory=set) properties: List[Property] = field(default_factory=list) dir: pathlib.Path = pathlib.Path() @dataclass class Schema: classes: List[Class] includes: Set[str] = field(default_factory=set) def _parse_property(name, type): if type.endswith("?*"): return RepeatedOptionalProperty(name, type[:-2]) elif type.endswith("*"): return RepeatedProperty(name, type[:-1]) elif type.endswith("?"): return OptionalProperty(name, type[:-1]) elif type == "predicate": return PredicateProperty(name) else: return SingleProperty(name, type) class _DirSelector: """ Default output subdirectory selector for generated QL files, based on the `_directories` global field""" def __init__(self, dir_to_patterns): self.selector = [(re.compile(p), pathlib.Path(d)) for d, p in dir_to_patterns] self.selector.append((re.compile(""), pathlib.Path())) def get(self, name): return next(d for p, d in self.selector if p.search(name)) def load(path): """ Parse the schema from the file at `path` """ with open(path) as input: data = yaml.load(input, Loader=yaml.SafeLoader) grouper = _DirSelector(data.get("_directories", {}).items()) classes = {root_class_name: Class(root_class_name)} classes.update((cls, Class(cls, dir=grouper.get(cls))) for cls in data if not cls.startswith("_")) for name, info in data.items(): if name.startswith("_"): continue assert name[0].isupper() cls = classes[name] for k, v in info.items(): if not k.startswith("_"): cls.properties.append(_parse_property(k, v)) elif k == "_extends": if not isinstance(v, list): v = [v] for base in v: cls.bases.add(base) classes[base].derived.add(name) elif k == "_dir": cls.dir = pathlib.Path(v) if not cls.bases and cls.name != root_class_name: cls.bases.add(root_class_name) classes[root_class_name].derived.add(name) return Schema(classes=list(classes.values()), includes=set(data.get("_includes", [])))