PlaygroundTemplate.py

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import re
import awswrangler as wr
from .TerritoryCode import TerritoryCode
 
class PlaygroundTemplate:
    def preprocessing(self, filename, features, session, rel_col):
        """Loads file and do some fixes to fit it to our standard and make it able to be processed
 
        Args:
            filename (str): s3 full path of filename
            features (dict): contains delimiter, skip_rows and encoding required for current file
            session (boto3 obj): AWS client connection
            rel_col (str): column name used to identify upc/release_id
        Returns: df (pandas dataframe)
        """
        delimiter = features["delimiter"]
        skip_rows = features["skip_rows"]
        encoding = features["encoding"]
        df = wr.s3.read_csv(filename, sep=delimiter, skiprows=skip_rows, encoding=encoding, dtype={rel_col:str}, keep_default_na=False, boto3_session=session)
        # df = read_csv(filename, sep=delimiter, skiprows=skip_rows, encoding=encoding, keep_default_na=False)#, engine=openpyxl)
        TC = TerritoryCode()
        TC.territory_code(df)
        return df
 
    def date(self, filename):
        """Sets date column given the filename (it contains the date)
           For example Fonal_2020-08.xlsx
        Args:
            filename (str): current filename
        Returns: date (str)
        """
        date = re.findall(r'\d{4}\+?-\d{2}', filename)[0]
        date = date+"-01"
        # df["date_from_file"] = date
        return date
 
    def type(self,  Channel, ISRC):
        """Maps the sale type with the name specified by the client according their requirements
        Args:
            Channel (str): distribution medium shown in the original file
            ISRC (str):  unique code used exclusive for tracks shown in the original file
        Returns: (sale type in a single one letter)
        """
        if Channel=="Download" and len(str(ISRC))==0:
            return "A"
        elif Channel=="Download" and len(str(ISRC))==12:
            return "T"
        return "S"
 
    def assetType(self, df):
        """Applies type functions to current dataframe
        Args:
            df (pandas dataframe): dataframe where changes will applied
        Returns: df (pandas dataframe)
        """
        # Add a new column to insert type
        df["gettypeplayground_dig"] = df.apply(lambda Row: self.type(Row["channel"], Row["isrc"]), axis=1)
        return df