MLIA-551 Rework remains of AIET architecture

Re-factoring the code base to further merge the old AIET code into MLIA.

- Remove last traces of the backend type 'tool'
- Controlled systems removed, including SSH protocol, controller,
  RunningCommand, locks etc.
- Build command / build dir and deploy functionality removed from
  Applications and Systems
- Moving working_dir()
- Replace module 'output_parser' with new module 'output_consumer' and
  merge Base64 parsing into it
- Change the output consumption to optionally remove (i.e. actually
  consume) lines
- Use Base64 parsing in GenericInferenceOutputParser, replacing the
  regex-based parsing and remove the now unused regex parsing
- Remove AIET reporting
- Pre-install applications by moving them to src/mlia/resources/backends
- Rename aiet-config.json to backend-config.json
- Move tests from tests/mlia/ to tests/
- Adapt unit tests to code changes
- Dependencies removed: paramiko, filelock, psutil
- Fix bug in corstone.py: The wrong resource directory was used which
  broke the functionality to download backends.
- Use f-string formatting.
- Use logging instead of print.

Change-Id: I768bc3bb6b2eda57d219ad01be4a8e0a74167d76

1 files changed, 71 insertions, 0 deletions

diff --git a/tests/test_core_advice_generation.py b/tests/test_core_advice_generation.py
new file mode 100644
index 0000000..05db698
--- /dev/null
+++ b/tests/test_core_advice_generation.py
@@ -0,0 +1,71 @@
+# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates.
+# SPDX-License-Identifier: Apache-2.0
+"""Tests for module advice_generation."""
+from typing import List
+
+import pytest
+
+from mlia.core.advice_generation import Advice
+from mlia.core.advice_generation import advice_category
+from mlia.core.advice_generation import FactBasedAdviceProducer
+from mlia.core.common import AdviceCategory
+from mlia.core.common import DataItem
+from mlia.core.context import Context
+
+
+def test_advice_generation() -> None:
+    """Test advice generation."""
+
+    class SampleProducer(FactBasedAdviceProducer):
+        """Sample producer."""
+
+        def produce_advice(self, data_item: DataItem) -> None:
+            """Process data."""
+            self.add_advice([f"Advice for {data_item}"])
+
+    producer = SampleProducer()
+    producer.produce_advice(123)
+    producer.produce_advice("hello")
+
+    advice = producer.get_advice()
+    assert advice == [Advice(["Advice for 123"]), Advice(["Advice for hello"])]
+
+
+@pytest.mark.parametrize(
+    "category, expected_advice",
+    [
+        [
+            AdviceCategory.OPERATORS,
+            [Advice(["Good advice!"])],
+        ],
+        [
+            AdviceCategory.PERFORMANCE,
+            [],
+        ],
+    ],
+)
+def test_advice_category_decorator(
+    category: AdviceCategory,
+    expected_advice: List[Advice],
+    dummy_context: Context,
+) -> None:
+    """Test for advice_category decorator."""
+
+    class SampleAdviceProducer(FactBasedAdviceProducer):
+        """Sample advice producer."""
+
+        @advice_category(AdviceCategory.OPERATORS)
+        def produce_advice(self, data_item: DataItem) -> None:
+            """Produce the advice."""
+            self.add_advice(["Good advice!"])
+
+    producer = SampleAdviceProducer()
+    dummy_context.update(
+        advice_category=category, event_handlers=[], config_parameters={}
+    )
+    producer.set_context(dummy_context)
+
+    producer.produce_advice("some_data")
+    advice = producer.get_advice()
+
+    assert advice == expected_advice