Addition of autofilling excel forms. Improved pydantic validation.

src/submissions/backend/excel/__init__.py

@@ -4,47 +4,3 @@ Contains pandas convenience functions for interacting with excel workbooks
 
 from .reports import *
 from .parser import *
-
-# from pandas import DataFrame
-# import re
-
-
-# def get_unique_values_in_df_column(df: DataFrame, column_name: str) -> list:
-#     """
-#     get all unique values in a dataframe column by name
-
-#     Args:
-#         df (DataFrame): input dataframe
-#         column_name (str): name of column of interest
-
-#     Returns:
-#         list: sorted list of unique values
-#     """    
-#     return sorted(df[column_name].unique())
-
-
-# def drop_reruns_from_df(ctx:dict, df: DataFrame) -> DataFrame:
-#     """
-#     Removes semi-duplicates from dataframe after finding sequencing repeats.
-
-#     Args:
-#         settings (dict): settings passed from gui
-#         df (DataFrame): initial dataframe
-
-#     Returns:
-#         DataFrame: dataframe with originals removed in favour of repeats.
-#     """    
-#     sample_names = get_unique_values_in_df_column(df, column_name="name")
-#     if 'rerun_regex' in ctx:
-#         # logger.debug(f"Compiling regex from: {settings['rerun_regex']}")
-#         rerun_regex = re.compile(fr"{ctx['rerun_regex']}")
-#         for sample in sample_names:
-#             # logger.debug(f'Running search on {sample}')
-#             if rerun_regex.search(sample):
-#                 # logger.debug(f'Match on {sample}')
-#                 first_run = re.sub(rerun_regex, "", sample)
-#                 # logger.debug(f"First run: {first_run}")
-#                 df = df.drop(df[df.name == first_run].index)
-#         return df
-#     else:
-#         return None