ENH: xlsx template generator

Summary

Allows to create XLSX templates

Focus

Test Environment

unit test (including one for all dimr schemas which is to be removed)

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• All automated tests pass
• Reference related issues
• Up-to-date CHANGELOG.md (or not necessary)
• Up-to-date JSON schema (or not necessary)
• Appropriate user and developer documentation (or not necessary)
  • How do I use the software? Assume "stupid" users.
  • How do I develop or debug the software? Assume novice developers.
• Annotations in code (Gitlab comments)
  • Intent of new code
  • Problems with old code
  • Why this implementation?

Check List for the Reviewer

• I understand the intent of this MR
• All automated tests pass
• Up-to-date CHANGELOG.md (or not necessary)
• Appropriate user and developer documentation (or not necessary)
• The test environment setup works and the intended behavior is reproducible in the test environment
• In-code documentation and comments are up-to-date.
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src/caosadvancedtools/table_json_conversion/fill_xlsx.py

@@ -31,7 +31,7 @@ def _fill_leaves(json_doc: dict, workbook):
         for el in value:
             if isinstance(el, dict):
                 _fill_leaves(el, workbook)
-            wb.cell(1, 2, el)
+            workbook.cell(1, 2, el)
 
 
 def _get_row_type_column(worksheet):
@@ -65,4 +65,25 @@ def fill_template(template_path: str, json_path: str, result_path: str) -> None:
     ``template_path`` and store the result under ``result_path``.
     """
     template = load_workbook(template_path)
+    # For each top level key in the json we iterate the values (if it is an array). Those are the
+    # root elements that belong to a particular sheet.
+    #       After treating a root element, the row index for the corresponding sheet needs to be
+    #       increased
+    #       When we finished treating an object that goes into a lower ranked sheet (see below), we
+    #       increase the row index of that sheet.
+    #
+
+    # We can generate a hierarchy of sheets in the beginning (using the paths). The lower sheets
+    # are for objects referenced by objects in higher ranked sheets.
+    # We can detect the sheet corresponding to a root element by looking at the first path element:
+    # The first path element must be the root element every where.
+    # Suggestion:
+    # row indices: Dict[str, int] string is the sheet name
+    # sheet_hirarchy: List[Tuple[str]]  elements are sheet names
+    #
+    # Question:
+    # We can create an internal representation where we assign as sheet_names the same names that
+    # are used in table generator. Or should we create another special row that contains this
+    # somehow?
+
     template.save(result_path)