CU-86956du3q: Add usage of regression suite name from the name of the…

… file being read

medcat/utils/regression/checking.py

@@ -4,6 +4,7 @@
 import logging
 import tqdm
 import datetime
+import os
 
 from pydantic import BaseModel, Field
 
@@ -285,9 +286,9 @@ class RegressionSuite:
         use_report (bool): Whether or not to use the report functionality (defaults to False)
     """
 
-    def __init__(self, cases: List[RegressionCase], metadata: MetaData) -> None:
+    def __init__(self, cases: List[RegressionCase], metadata: MetaData, name: str) -> None:
         self.cases: List[RegressionCase] = cases
-        self.report = MultiDescriptor(name='ALL')  # TODO - allow setting names
+        self.report = MultiDescriptor(name=name)
         self.metadata = metadata
         for case in self.cases:
             self.report.parts.append(case.report)
@@ -385,15 +386,16 @@ def __eq__(self, other: object) -> bool:
         return self.cases == other.cases
 
     @classmethod
-    def from_dict(cls, in_dict: dict) -> 'RegressionSuite':
+    def from_dict(cls, in_dict: dict, name: str) -> 'RegressionSuite':
         """Construct a RegressionChecker from a dict.
 
         Most of the parsing is handled in RegressionChecker.from_dict.
         This just assumes that each key in the dict is a name
         and each value describes a RegressionCase.
 
         Args:
-            in_dict (dict): The input dict
+            in_dict (dict): The input dict.
+            name (str): The name of the regression suite.
 
         Returns:
             RegressionChecker: The built regression checker
@@ -409,7 +411,7 @@ def from_dict(cls, in_dict: dict) -> 'RegressionSuite':
             metadata = MetaData.unknown()
         else:
             metadata = MetaData.parse_obj(in_dict['meta'])
-        return RegressionSuite(cases=cases, metadata=metadata)
+        return RegressionSuite(cases=cases, metadata=metadata, name=name)
 
     @classmethod
     def from_yaml(cls, file_name: str) -> 'RegressionSuite':
@@ -425,14 +427,14 @@ def from_yaml(cls, file_name: str) -> 'RegressionSuite':
         """
         with open(file_name) as f:
             data = yaml.safe_load(f)
-        return RegressionSuite.from_dict(data)
+        return RegressionSuite.from_dict(data, name=os.path.basename(file_name))
 
     @classmethod
     def from_mct_export(cls, file_name: str) -> 'RegressionSuite':
         with open(file_name) as f:
             data = json.load(f)
         converted = MedCATTrainerExportConverter(data).convert()
-        return RegressionSuite.from_dict(converted)
+        return RegressionSuite.from_dict(converted, name=os.path.basename(file_name))
 
 
 class MalformedRegressionCaseException(ValueError):