MLIA-782 Remove --output parameter

* Remove --output parameter from argument parser
* Remove FormattedFilePath class and its presence across the codebase
* Move logging module from cli to core
* The output format is now injected in the execution context and used
  across MLIA
* Depending on the output format, TextReporter and JSONReporter have
  been created and used accordingly.
* The whole output to standard output and/or logfile is driven via the
  logging module: the only case where the print is used is when the
  --json parameter is specified. This is needed becase all output
  (including third party application as well) needs to be disabled
  otherwise it might corrupt the json output in the standard output.
* Debug information is logged into the log file and printed to stdout
  when the output format is plain_text.
* Update E2E test and config to cope with the new mechanism of
  outputting json data to standard output.

Change-Id: I4395800b0b1af4d24406a828d780bdeef98cd413

2 files changed, 3 insertions, 6 deletions

diff --git a/src/mlia/target/cortex_a/advisor.py b/src/mlia/target/cortex_a/advisor.py
index b649f0d..1249d93 100644
--- a/src/mlia/target/cortex_a/advisor.py
+++ b/src/mlia/target/cortex_a/advisor.py
@@ -10,7 +10,6 @@ from mlia.core.advice_generation import AdviceProducer
 from mlia.core.advisor import DefaultInferenceAdvisor
 from mlia.core.advisor import InferenceAdvisor
 from mlia.core.common import AdviceCategory
-from mlia.core.common import FormattedFilePath
 from mlia.core.context import Context
 from mlia.core.context import ExecutionContext
 from mlia.core.data_analysis import DataAnalyzer
@@ -67,12 +66,11 @@ def configure_and_get_cortexa_advisor(
     context: ExecutionContext,
     target_profile: str,
     model: str | Path,
-    output: FormattedFilePath | None = None,
     **_extra_args: Any,
 ) -> InferenceAdvisor:
     """Create and configure Cortex-A advisor."""
     if context.event_handlers is None:
-        context.event_handlers = [CortexAEventHandler(output)]
+        context.event_handlers = [CortexAEventHandler()]
 
     if context.config_parameters is None:
         context.config_parameters = _get_config_parameters(model, target_profile)
diff --git a/src/mlia/target/cortex_a/handlers.py b/src/mlia/target/cortex_a/handlers.py
index d6acde5..1a74da7 100644
--- a/src/mlia/target/cortex_a/handlers.py
+++ b/src/mlia/target/cortex_a/handlers.py
@@ -5,7 +5,6 @@ from __future__ import annotations
 
 import logging
 
-from mlia.core.common import FormattedFilePath
 from mlia.core.events import CollectedDataEvent
 from mlia.core.handlers import WorkflowEventsHandler
 from mlia.nn.tensorflow.tflite_compat import TFLiteCompatibilityInfo
@@ -20,9 +19,9 @@ logger = logging.getLogger(__name__)
 class CortexAEventHandler(WorkflowEventsHandler, CortexAAdvisorEventHandler):
     """CLI event handler."""
 
-    def __init__(self, output: FormattedFilePath | None = None) -> None:
+    def __init__(self) -> None:
         """Init event handler."""
-        super().__init__(cortex_a_formatters, output)
+        super().__init__(cortex_a_formatters)
 
     def on_collected_data(self, event: CollectedDataEvent) -> None:
         """Handle CollectedDataEvent event."""