Added quick stat table to console outputter to show quick summary sho…

…wing pass/fail counts (#16).

focus_validator/outputter/outputter_console.py

@@ -9,6 +9,18 @@ def __init__(self, output_destination):
         self.output_destination = output_destination
         self.result_set = None
 
+    @staticmethod
+    def __generate_summary__(result_set: ValidationResult):
+        check_summary = {}
+
+        for rule_check_list_object in result_set.checklist.values():
+            status = rule_check_list_object.status
+            try:
+                check_summary[status.name] += 1
+            except KeyError:
+                check_summary[status.name] = 1
+        return pd.DataFrame(check_summary.items(), columns=["Status", "Count"])
+
     @staticmethod
     def __restructure_check_list__(result_set: ValidationResult):
         rows = []
@@ -48,6 +60,10 @@ def __restructure_check_list__(result_set: ValidationResult):
     def write(self, result_set: ValidationResult):
         self.result_set = result_set
 
+        check_summary = self.__generate_summary__(result_set)
+        print("Summary:")
+        print(tabulate(check_summary, headers="keys", tablefmt="psql"))
+
         checklist = self.__restructure_check_list__(result_set)
         print("Checklist:")
         print(tabulate(checklist, headers="keys", tablefmt="psql"))

tests/outputter/test_outputter_console.py

@@ -1,5 +1,7 @@
 from unittest import TestCase
 
+import pandas as pd
+
 from focus_validator.outputter.outputter_console import ConsoleOutputter
 from focus_validator.validator import Validator
 
@@ -28,3 +30,24 @@ def test_failure_output(self):
                 "Status",
             ],
         )
+
+    def test_summary_output(self):
+        validator = Validator(
+            data_filename="samples/multiple_failure_example_namespaced.csv",
+            output_type="console",
+            output_destination=None,
+            dimension_namespace="F",
+        )
+        validator.load()
+        result = validator.spec_rules.validate(focus_data=validator.focus_data)
+
+        outputter = ConsoleOutputter(output_destination=None)
+        summary_output = outputter.__generate_summary__(result_set=result)
+        self.assertIsInstance(summary_output, pd.DataFrame)
+        self.assertEqual(
+            list(summary_output.columns),
+            [
+                "Status",
+                "Count",
+            ],
+        )