gc_utils.py

import os

# gc prefix added to avoid name conflict with other modules
# This file contains all general utility functions
def save_log(log, path):
    '''Overwrite the log file with the new log'''
    with open(path, 'w') as file:
        file.write('\n'.join(log))


def convert_row_letter_to_number(row_letter):
    letters = {'A': 0, 'B': 1, 'C': 2, 'D': 3, 'E':4, 'F':5, 'G':6, 'H':7, 'I':8, 'J':9, 'K':10, 'L': 11, 'M':12, 'N':13, 'O':14, 'P':15}
    return letters[row_letter]


def convert_row_number_to_letter(row_letter):
    letters = {0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H', 8: 'I', 9: 'J', 10: 'K', 11: 'L', 12: 'M', 13: 'N', 14: 'O', 15: 'P'}
    return letters[row_letter]


def clear_console():
    command = 'clear'
    if os.name in ('nt', 'dos'):  # If Machine is running on Windows, use cls
        command = 'cls'
    os.system(command)


def get_files_from_directory(path , extension):
    '''Get the full path to each file with the extension specified from the path'''
    files = []
    for file in os.listdir(path):
        if file.endswith(extension):
            files.append(os.path.join(path ,file))
    return files


def get_max_cycle_number(df):
    '''Get the number of cycles the tecan stacker did when reading the data
    Parameters
    ----------
    df : pandas.DataFrame
        dataframe in the tecan stacker format
    '''
    first_column = list(df.iloc[:, 0])
    for i in range(len(first_column) -1, -1, -1):
        if first_column[i] == "Cycle Nr.":
            return df.iloc[i,1]


def get_first_index(iterable, condition=lambda x: True):
    '''Get the index of the first element in an iterable that matches the condition'''
    for i, x in enumerate(iterable):
        if condition(x):
            return i
        

def reverse_dict_key_values(input_dict):
    # Create an empty dictionary to store the reversed key-value pairs
    reversed_dict = {}
    
    # Iterate over the original dictionary's items
    for key, value_list in input_dict.items():
        # Iterate over each value in the list associated with the key
        for value in value_list:
            # Add the value as a key in the new dictionary and set its value as the original key
            reversed_dict[value] = key
    
    return reversed_dict