def createDocsDict(block_text_dict):
      #Step 1 get map of all items and their descendant blocks
      maptable = pd.read_csv("data/block-item-toplevel-map-2023-11-28.csv")
      maptable[["block", "item", "toplevel"]] = maptable[["block", "item", "toplevel"]].apply(lambda x: x.str.strip())
      block_item_dict = dict(zip(maptable['block'], maptable['item']))

      # Step 2 (Hack) get map of all articles in Aquinas ST and Scriptum and their descendant blocks
      aamaptable = pd.read_csv("data/aquinasSTandScriptumArticleBlocks-2023-11-28.csv")
      aamaptable[["block", "article", "toplevel"]] = aamaptable[["block", "article", "toplevel"]].apply(lambda x: x.str.strip())
      aablock_item_dict = dict(zip(aamaptable['block'], aamaptable['article']))
      
      # Step 3 construct the documents dictionary
      documents_dict = {}
      ## Step 3b Loop through every paragraph and concat it to the document for the item it belongs to
      for key, value in block_text_dict.items():
          ## Step 3c (Hack) for just those blocks that belong to Aquinas ST and Scriptum, 
          ## create a document at the article level rather than the item level
          if (key.startswith("TAca84-") or key.startswith("ta-")):
              if aablock_item_dict.get(key):
                  itemid = aablock_item_dict.get(key)
                  current_value = documents_dict.get(itemid)
                  if current_value:
                      documents_dict[itemid] = current_value + ' ' + value
                  else:
                      documents_dict[itemid] = value
          else:
          ## Step 3d If block is not part of Aquinas ST or Scriptum, create document at the item level as normal
              if block_item_dict.get(key):
                  itemid = block_item_dict.get(key)
                  current_value = documents_dict.get(itemid)
                  if current_value:
                      documents_dict[itemid] = current_value + ' ' + value
                  else:
                      documents_dict[itemid] = value
      return documents_dict
    

      
      # get all levels within each toplevel document
      mapping = collect_unique_levels()
      # save a key value dictionary of docs ids, and doc text at the specified level
      for k, v in mapping.items():
        for level in v:
          docsDict = saveToDiskFullDocList(k, level=level)