Files
Django_kube/Webcal-python/venv/lib/python3.11/site-packages/tatsu/ngcodegen/objectmodel.py
T

150 lines
4.7 KiB
Python

import builtins
from collections import namedtuple
from .. import grammars, objectmodel
from ..mixins.indent import IndentPrintMixin
from ..util import compress_seq, safe_name
from ..util.misc import topsort
HEADER = """\
#!/usr/bin/env python3
# WARNING: CAVEAT UTILITOR
#
# This file was automatically generated by TatSu.
#
# https://pypi.python.org/pypi/tatsu/
#
# Any changes you make to it will be overwritten the next time
# the file is generated.
from __future__ import annotations
from typing import Any
from dataclasses import dataclass
from tatsu.semantics import ModelBuilderSemantics
{base_type_import}
class {name}ModelBuilderSemantics(ModelBuilderSemantics):
def __init__(self, context=None, types=None):
types = [
t for t in globals().values()
if type(t) is type and issubclass(t, ModelBase)
] + (types or [])
super().__init__(context=context, types=types)
"""
BaseClassSpec = namedtuple('BaseClassSpec', ['class_name', 'base'])
def modelgen(model: grammars.Grammar, name: str = '', base_type: type | None = objectmodel.Node) -> str:
base_type = base_type or objectmodel.Node
generator = PythonModelGenerator(name=name, base_type=base_type)
return generator.generate_model(model)
class PythonModelGenerator(IndentPrintMixin):
def __init__(self, name: str = '', base_type: type = objectmodel.Node):
super().__init__()
self.base_type = base_type
self.name = name or None
def generate_model(self, grammar: grammars.Grammar):
base_type = self.base_type
base_type_name = base_type.__name__.split('.')[-1]
base_type_import = f"from {base_type.__module__} import {base_type_name}"
self.name = self.name or grammar.name
self.print(
HEADER.format(
name=self.name,
base_type=self.base_type.__name__,
base_type_import=base_type_import,
),
)
rule_index = {rule.name: rule for rule in grammar.rules}
rule_specs = {
rule.name: self._base_class_specs(rule)
for rule in grammar.rules
}
rule_specs = {name: specs for name, specs in rule_specs.items() if specs}
specs_by_name = {
s.class_name: s.base
for specs in rule_specs.values()
for s in specs
}
base = self._model_base_name()
specs_by_name[base] = base_type_name
all_specs = {
(s.class_name, s.base)
for specs in rule_specs.values()
for s in specs
}
model_names = topsort(reversed(specs_by_name), all_specs)
model_to_rule = {
rule_specs[name][0].class_name: rule
for name, rule in rule_index.items()
if name in rule_specs
}
for model_name in model_names:
if model_name in vars(builtins):
continue
if rule := model_to_rule.get(model_name):
self._gen_rule_class(rule, rule_specs[rule.name])
else:
self._gen_base_class(model_name, specs_by_name.get(model_name))
return self.printed_text()
@staticmethod
def _model_base_name():
return 'ModelBase'
def _gen_base_class(self, class_name: str, base: str | None):
self.print()
self.print()
self.print('@dataclass(eq=False)')
if base:
self.print(f'class {class_name}({base}):')
else:
# FIXME: this cannot happen as base_type is the final base
self.print(f'class {class_name}:')
with self.indent():
self.print('pass')
def _gen_rule_class(self, rule: grammars.Rule, specs: list[BaseClassSpec]):
if not specs:
return
spec = specs[0]
arguments = sorted({safe_name(d) for d, _ in compress_seq(rule.defines())})
self.print()
self.print()
self.print('@dataclass(eq=False)')
self.print(f'class {spec.class_name}({spec.base}):')
with self.indent():
if not arguments:
self.print('pass')
for arg in arguments:
self.print(f'{arg}: Any = None')
def _base_class_specs(self, rule: grammars.Rule) -> list[BaseClassSpec]:
if not rule.params or not isinstance(rule.params[0], str):
return []
spec = rule.params[0].split('::')
base = [self._model_base_name()]
class_names = [safe_name(n) for n in spec] + base
return [
BaseClassSpec(class_name, class_names[i + 1])
for i, class_name in enumerate(class_names[:-1])
]