move reporting related pv code within test harness to pv folder (#44)

* move reporting related pv code to pv folder

* update fixtures and fix linting

* Delete test_harness/log_file_store/error_log_d8dce7ed-5684-4937-90b8-9558e8647422.txt

* remove commented out code from test harness conftest

* fix linting

* add debug print to check GitHub actions workflow

* update mock_start in test_send_events

* add mock_del

test_harness/protocol_verifier/pvperformanceresults.py

@@ -18,7 +18,9 @@
 from prometheus_client.parser import text_fd_to_metric_families
 from pygrok import Grok
 
-from test_harness.reporting.log_analyser import yield_grok_metrics_from_files
+from test_harness.protocol_verifier.reporting.log_analyser import (
+    yield_grok_metrics_from_files
+)
 from test_harness.results.aggregation import (
     AggregationBin,
     AggregationCount,

test_harness/protocol_verifier/reporting/__init__.py

@@ -0,0 +1,67 @@
+"""__init__ file. Contains methods to create and save report files"""
+
+from pandas import DataFrame
+
+from test_harness.protocol_verifier.reporting.log_analyser import (
+    logs_validity_df_to_results
+)
+from test_harness.protocol_verifier.reporting.report_results import (
+    get_report_files_mapping_from_dataframe_report,
+)
+from test_harness.reporting.report_delivery import deliver_test_report_files
+
+
+def create_and_save_report_files(
+    log_string: str,
+    validity_df: DataFrame,
+    test_name: str,
+    output_directory_path: str,
+) -> None:
+    """Method to create report files from logs and validity dataframe and save
+    report files with a prefix in an output directory
+
+    :param log_string: String representing the log files
+    :type log_string: `str`
+    :param validity_df: :class:`DataFrame` holding the information on the test
+    files
+    :type validity_df: :class:`DataFrame`
+    :param test_name: The test name (or prefix) to give to the report files
+    :type test_name: `str`
+    :param output_directory_path: The path of the output directory to store
+    the results
+    :type output_directory_path: `str`
+    """
+    report_files_mapping = create_report_files(
+        log_string=log_string, validity_df=validity_df, test_name=test_name
+    )
+    deliver_test_report_files(
+        report_files_mapping=report_files_mapping,
+        output_directory=output_directory_path,
+    )
+
+
+def create_report_files(
+    log_string: str,
+    validity_df: DataFrame,
+    test_name: str,
+    event_id_job_id_map: dict[str, str] | None = None,
+) -> dict[str, str | DataFrame]:
+    """Method to create report files from logs and validity dataframe
+
+    :param log_string: String representing the log files
+    :type log_string: `str`
+    :param validity_df: :class:`DataFrame` holding the information on the test
+    files
+    :type validity_df: :class:`DataFrame`
+    :param test_name: The test name (or prefix) to give to the report files
+    :type test_name: `str`
+    """
+    results_df = logs_validity_df_to_results(
+        log_string=log_string,
+        validity_df=validity_df,
+        event_id_job_id_map=event_id_job_id_map,
+    )
+    report_files_mapping = get_report_files_mapping_from_dataframe_report(
+        results_df=results_df, results_prefix=test_name
+    )
+    return report_files_mapping