IQ.Pilot Release Commit @ 4fcea4d

selfdrive/test/process_replay/test_fuzzy.py

@@ -0,0 +1,31 @@
+import copy
+import os
+from hypothesis import given, HealthCheck, Phase, settings
+import hypothesis.strategies as st
+from parameterized import parameterized
+
+from cereal import log
+from opendbc.car.toyota.values import CAR as TOYOTA
+from openpilot.selfdrive.test.fuzzy_generation import FuzzyGenerator
+import openpilot.selfdrive.test.process_replay.process_replay as pr
+
+# These processes currently fail because of unrealistic data breaking assumptions
+# that openpilot makes causing error with NaN, inf, int size, array indexing ...
+# TODO: Make each one testable
+NOT_TESTED = ['selfdrived', 'controlsd', 'card', 'plannerd', 'calibrationd', 'dmonitoringd', 'paramsd', 'dmonitoringmodeld', 'modeld']
+
+TEST_CASES = [(cfg.proc_name, copy.deepcopy(cfg)) for cfg in pr.CONFIGS if cfg.proc_name not in NOT_TESTED]
+MAX_EXAMPLES = int(os.environ.get("MAX_EXAMPLES", "10"))
+
+class TestFuzzProcesses:
+
+  # TODO: make this faster and increase examples
+  @parameterized.expand(TEST_CASES)
+  @given(st.data())
+  @settings(phases=[Phase.generate, Phase.target], max_examples=MAX_EXAMPLES, deadline=1000,
+            suppress_health_check=[HealthCheck.too_slow, HealthCheck.data_too_large])
+  def test_fuzz_process(self, proc_name, cfg, data):
+    msgs = FuzzyGenerator.get_random_event_msg(data.draw, events=cfg.pubs, real_floats=True)
+    lr = [log.Event.new_message(**m).as_reader() for m in msgs]
+    cfg.timeout = 5
+    pr.replay_process(cfg, lr, fingerprint=TOYOTA.TOYOTA_COROLLA_TSS2, disable_progress=True)