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84 lines
3.5 KiB
84 lines
3.5 KiB
import capnp
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import hypothesis.strategies as st
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from typing import Any, Callable, Dict, List, Optional, Union
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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.real_floats = real_floats
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def generate_native_type(self, field: str) -> st.SearchStrategy[Union[bool, int, float, str, bytes]]:
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def floats(**kwargs) -> st.SearchStrategy[float]:
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allow_nan = not self.real_floats
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allow_infinity = not self.real_floats
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return st.floats(**kwargs, allow_nan=allow_nan, allow_infinity=allow_infinity)
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if field == 'bool':
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return st.booleans()
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elif field == 'int8':
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return st.integers(min_value=-2**7, max_value=2**7-1)
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elif field == 'int16':
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return st.integers(min_value=-2**15, max_value=2**15-1)
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elif field == 'int32':
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return st.integers(min_value=-2**31, max_value=2**31-1)
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elif field == 'int64':
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return st.integers(min_value=-2**63, max_value=2**63-1)
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elif field == 'uint8':
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return st.integers(min_value=0, max_value=2**8-1)
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elif field == 'uint16':
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return st.integers(min_value=0, max_value=2**16-1)
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elif field == 'uint32':
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return st.integers(min_value=0, max_value=2**32-1)
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elif field == 'uint64':
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return st.integers(min_value=0, max_value=2**64-1)
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elif field == 'float32':
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return floats(width=32)
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elif field == 'float64':
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return floats(width=64)
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elif field == 'text':
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return st.text(max_size=1000)
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elif field == 'data':
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return st.binary(max_size=1000)
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elif field == 'anyPointer':
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return st.text()
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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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if field_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 field_type.which() == 'list':
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return st.lists(rec(field_type.list.elementType))
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elif field_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(field_type.which())
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if 'slot' in field.proto.to_dict():
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base_type = field.proto.slot.type.which()
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return rec(field.proto.slot.type)
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else:
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return self.generate_struct(field.schema)
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def generate_struct(self, schema: capnp.lib.capnp._StructSchema, event: Optional[str] = None) -> st.SearchStrategy[Dict[str, Any]]:
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full_fill: List[str] = list(schema.non_union_fields)
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single_fill: List[str] = [event] if event else [self.draw(st.sampled_from(schema.union_fields))] if schema.union_fields else []
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return st.fixed_dictionaries({field: self.generate_field(schema.fields[field]) for field in full_fill + single_fill})
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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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