Multilevel Comment algorithm

Comment_list = models. Comment.objects. Filter (news_id = new_id) ret = [] # finally get the data comment_list_dict = {} # Build intermediate dictionary for row in comment_l IST: # In the data identified by the ID as key, each row of data as value to generate a dictionary row.update ({"Children": []}) # Build a key children corresponding to an empty list comment_list _dict[row["id"] = row # takes the ID as the key, the current row as the value in the dictionary for item in Comment_list: # Iterate through the list of data that is fetched Parrent_row = comment _list_dict.get (item["parent_id"]) # Get the father's address for the current line if not parrent_row: # If the father is none, go directly to the RET Ret.appe ND (item) Else: # Otherwise, take this line append to the father's children parrent_row["Children"].append (item) # Focus on this line and use the first knowledge mentioned above Recognize dot print (ret)