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81 lines
3.6 KiB
81 lines
3.6 KiB
import capnp
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import hypothesis.strategies as st
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from typing import Any
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from collections.abc import Callable
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from functools import cache
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from cereal import log
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DrawType = Callable[[st.SearchStrategy], Any]
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class FuzzyGenerator:
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def __init__(self, draw: DrawType, real_floats: bool):
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self.draw = draw
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self.native_type_map = FuzzyGenerator._get_native_type_map(real_floats)
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def generate_native_type(self, field: str) -> st.SearchStrategy[bool | int | float | str | bytes]:
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value_func = self.native_type_map.get(field)
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if value_func:
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return value_func
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else:
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raise NotImplementedError(f'Invalid type: {field}')
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def generate_field(self, field: capnp.lib.capnp._StructSchemaField) -> st.SearchStrategy:
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def rec(field_type: capnp.lib.capnp._DynamicStructReader) -> st.SearchStrategy:
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type_which = field_type.which()
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if type_which == 'struct':
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return self.generate_struct(field.schema.elementType if base_type == 'list' else field.schema)
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elif type_which == 'list':
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return st.lists(rec(field_type.list.elementType))
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elif type_which == 'enum':
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schema = field.schema.elementType if base_type == 'list' else field.schema
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return st.sampled_from(list(schema.enumerants.keys()))
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else:
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return self.generate_native_type(type_which)
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try:
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if hasattr(field.proto, 'slot'):
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slot_type = field.proto.slot.type
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base_type = slot_type.which()
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return rec(slot_type)
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else:
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return self.generate_struct(field.schema)
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except capnp.lib.capnp.KjException:
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return self.generate_struct(field.schema)
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def generate_struct(self, schema: capnp.lib.capnp._StructSchema, event: str = None) -> st.SearchStrategy[dict[str, Any]]:
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single_fill: tuple[str, ...] = (event,) if event else (self.draw(st.sampled_from(schema.union_fields)),) if schema.union_fields else ()
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fields_to_generate = schema.non_union_fields + single_fill
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return st.fixed_dictionaries({field: self.generate_field(schema.fields[field]) for field in fields_to_generate if not field.endswith('DEPRECATED')})
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@staticmethod
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@cache
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def _get_native_type_map(real_floats: bool) -> dict[str, st.SearchStrategy]:
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return {
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'bool': st.booleans(),
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'int8': st.integers(min_value=-2**7, max_value=2**7-1),
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'int16': st.integers(min_value=-2**15, max_value=2**15-1),
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'int32': st.integers(min_value=-2**31, max_value=2**31-1),
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'int64': st.integers(min_value=-2**63, max_value=2**63-1),
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'uint8': st.integers(min_value=0, max_value=2**8-1),
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'uint16': st.integers(min_value=0, max_value=2**16-1),
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'uint32': st.integers(min_value=0, max_value=2**32-1),
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'uint64': st.integers(min_value=0, max_value=2**64-1),
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'float32': st.floats(width=32, allow_nan=not real_floats, allow_infinity=not real_floats),
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'float64': st.floats(width=64, allow_nan=not real_floats, allow_infinity=not real_floats),
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'text': st.text(max_size=1000),
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'data': st.binary(max_size=1000),
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'anyPointer': st.text(), # Note: No need to define a separate function for anyPointer
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}
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@classmethod
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def get_random_msg(cls, draw: DrawType, struct: capnp.lib.capnp._StructModule, real_floats: bool = False) -> dict[str, Any]:
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fg = cls(draw, real_floats=real_floats)
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data: dict[str, Any] = draw(fg.generate_struct(struct.schema))
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return data
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@classmethod
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def get_random_event_msg(cls, draw: DrawType, events: list[str], real_floats: bool = False) -> list[dict[str, Any]]:
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fg = cls(draw, real_floats=real_floats)
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return [draw(fg.generate_struct(log.Event.schema, e)) for e in sorted(events)]
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