slight cleanup

src/ingest_validation_tools/upload.py

@@ -194,6 +194,13 @@ def validation_routine(self) -> dict:
         local_validated = {}
         api_validated = {}
         for tsv_path, schema_name in self.effective_tsv_paths.items():
+            if not type(tsv_path) == Path:
+                try:
+                    tsv_path = Path(tsv_path)
+                except TypeError as e:
+                    raise TypeError(
+                        f"Path {tsv_path} is of invalid type {type(tsv_path)}. Exception: {e}"
+                    )
             df = pd.read_csv(tsv_path, delimiter="\t")
             if df.get(["metadata_schema_id"]) is None:
                 logging.info(
@@ -216,13 +223,6 @@ def validation_routine(self) -> dict:
     def api_validation(self, tsv_path: Path):
         errors = {}
         response = self.cedar_api_call(tsv_path)
-        # pretty_json = json.dumps(response.json(), indent=2)
-        # logging.info(
-        #     f"""
-        #         CEDAR validator returned {response.status_code} for TSV {tsv_path}:
-        #         {pretty_json}
-        #         """
-        # )
         if response.status_code != 200:
             errors["Request Errors"] = response
         elif response.json()["reporting"] and len(response.json()["reporting"]) > 0:
@@ -231,13 +231,6 @@ def api_validation(self, tsv_path: Path):
             logging.info(f"CEDAR Spreadsheet Validator errors for {tsv_path}: {errors}")
         return errors
 
-    # def local_validation_routine(self, tsvs: dict) -> dict:
-    #     errors = {}
-    #     tsv_errors = self._get_tsv_errors(tsvs)
-    #     if tsv_errors:
-    #         errors["Metadata TSV Errors"] = tsv_errors
-    #     return errors
-
     ###################################
     #
     # Top-level private methods: