import pandas as pd
import numpy as np
import os

def find_path(filename:str)->str: 
    """Find the path to a file

        Args:
            name of a file

        Returns:
            str path of a file 
      
        Raises:
            None
    """
    absolute_path = os.path.dirname(__file__)
    test_file = "inputs\\" + str(filename) 
    full_path = os.path.join(absolute_path, test_file)
    return full_path

def find_output():
    """Find the path of the output file 

        Args:
            name of a file

        Returns:
            str path of a file 
      
        Raises:
            None
    """
    absolute_path = os.path.dirname(__file__)
    test_file = "ReprTrans_ExpressionLevel.tsv"
    full_path = os.path.join(absolute_path, test_file)
    return full_path


def find_path_intermediateFile()->str: 
    """Find the path to gencode.vM31.annotation_intermediat_file.txt

        Args:
            none

        Returns:
            str path of gencode.vM31.annotation_intermediat_file.txt
      
        Raises:
            None
    """ 
    absolute_path = os.path.dirname(__file__)
    test_file = r"inputs\test_gencode.vM31.annotation_intermediat_file.txt"
    full_path = os.path.join(absolute_path, test_file)
    return full_path

def column_number(df :pd.DataFrame)-> int:

    """Return the number of column of a df 

        Args:
            dataframe

        Returns:
            int
      
        Raises:
            None
    """ 
    length = len(df.columns)
    return length

def column_dType(df : pd.DataFrame) -> dict[str,np.dtype]:
    """Return the type of each column of a df in a dict 

        Args:
            Pandas dataframe

        Returns:
            dict{column:np.dtype()}
      
        Raises:
            None
    """ 
    dtype=df.dtypes.to_dict()
    return dtype

def duplicated_rows(df: pd.DataFrame) -> pd.DataFrame:
    """Return the sum of duplicated rows in a df 

        Args:
            Pandas dataframe

        Returns:
            int
      
        Raises:
            None
    """ 
    df_dupl = df[df.duplicated()]
    return df_dupl

def duplicated_index(df: pd.DataFrame) -> pd.DataFrame:
    """Return the sum of duplicated index in a df 

        Args:
            Pandas dataframe

        Returns:
            int
      
        Raises:
            None
    """ 
    df_dupl = df[df.index.duplicated()]
    return df_dupl

def NA_value(df: pd.DataFrame) -> int: 
    """Return the sum of NA values in a df

        Args:
            Pandas dataframe

        Returns:
            int
      
        Raises:
            None
    """ 
    nNA = df.isna().sum().sum()
    return nNA