Release 260111

selfdrive/test/fuzzy_generation.py

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