Apply automatic formatting

src/scicat_dataset.py

@@ -170,7 +170,7 @@ def extract_variables_values(
         "ingestor_run_id": str(uuid.uuid4()),
         "data_file_path": pathlib.Path(config.nexus_file),
         "now": datetime.datetime.now(tz=datetime.UTC).isoformat(),
-        "ingestor_files_directory": config.ingestion.file_handling.ingestor_files_directory
+        "ingestor_files_directory": config.ingestion.file_handling.ingestor_files_directory,
     }
     for variable_name, variable_recipe in variables.items():
         source = variable_recipe.source
@@ -265,6 +265,7 @@ class ScicatDataset:
     runNumber: str | None = None
     keywords: list[str] | None = None
 
+
 @dataclass(kw_only=True)
 class DataFileListItem:
     path: str
@@ -457,11 +458,7 @@ def _filter_by_field_type(
     return [field for field in schemas if field.field_type == field_type]
 
 
-def _render_variable_as_type(
-        value: Any,
-        variable_map: dict,
-        dtype: str
-) -> Any:
+def _render_variable_as_type(value: Any, variable_map: dict, dtype: str) -> Any:
     return convert_to_type(render_variable_value(value, variable_map), dtype)
 
 

src/scicat_metadata.py

@@ -141,26 +141,29 @@ def from_file(cls, schema_file_name: pathlib.Path) -> "MetadataSchema":
         return cls.from_dict(_load_json_schema(schema_file_name))
 
 
-def render_variable_value(
-        var_value: Any,
-        variable_registry: dict
-) -> str:
+def render_variable_value(var_value: Any, variable_registry: dict) -> str:
     # if input is not a string it converts it to string
-    output_value = var_value if isinstance(var_value,str) else json.dumps(var_value)
+    output_value = var_value if isinstance(var_value, str) else json.dumps(var_value)
 
     # If it is only one variable, then it is a simple replacement
-    if (var_key := output_value.removesuffix(">").removeprefix("<")) in variable_registry:
+    if (
+        var_key := output_value.removesuffix(">").removeprefix("<")
+    ) in variable_registry:
         return variable_registry[var_key]
 
     # If it is a complex variable, then it is a combination of variables
     # similar to f-string in python
     for reg_var_name, reg_var_value in variable_registry.items():
-        output_value = output_value.replace("<" + reg_var_name + ">", str(reg_var_value))
+        output_value = output_value.replace(
+            "<" + reg_var_name + ">", str(reg_var_value)
+        )
 
     if "<" in var_value and ">" in var_value:
         raise Exception(f"Unresolved variable: {var_value}")
 
-    output_value = output_value if isinstance(var_value,str) else json.loads(output_value)
+    output_value = (
+        output_value if isinstance(var_value, str) else json.loads(output_value)
+    )
     return output_value
 
 

src/scicat_offline_ingestor.py

@@ -139,7 +139,11 @@ def main() -> None:
         with h5py.File(nexus_file_path) as h5file:
             # load instrument metadata configuration
             metadata_schema = select_applicable_schema(nexus_file_path, schemas)
-            logger.info("Metadata Schema selected : %s (Id: %s)", metadata_schema.name, metadata_schema.id)
+            logger.info(
+                "Metadata Schema selected : %s (Id: %s)",
+                metadata_schema.name,
+                metadata_schema.id,
+            )
 
             # define variables values
             variable_map = extract_variables_values(