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import os
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import sys
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import numpy as np
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import pandas as pd
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from recommendationSystem.logging import logger
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from recommendationSystem.config.configuration import DataTransformationConfig
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from recommendationSystem.utils.common import (
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CustomException,
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save_object,
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removing_blank_lines,
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removing_pre_suff_ix,
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converting_into_vectors,
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finding_similarity
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)
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class DataTransformation():
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def __init__(self):
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self.data_transformation_config = DataTransformationConfig()
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def initiate_data_transformation_obj(self,data_path):
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logger.info("Entered the Data Transformation method")
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try:
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anime = pd.read_csv(data_path)
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logger.info("Read the dataset")
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os.makedirs(os.path.dirname(self.data_transformation_config.transformed_data_path),exist_ok=True)
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logger.info("created directory for datframe")
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anime_1 = anime.copy()
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logger.info("Created a copy of the dataset")
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anime_1 = anime_1[['image','name','tags','links']]
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anime_1 = anime_1.reset_index(drop=True)
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anime_1 = anime_1.rename({'name':'title'},axis=1)
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logger.info("Formatted the copied dataset")
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anime_1.tags = anime_1.tags.apply(removing_blank_lines)
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anime_1.tags = anime_1.tags.apply(removing_pre_suff_ix)
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vectors = converting_into_vectors(anime_1.tags)
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similarity = finding_similarity(vectors)
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logger.info("Calculated the similarity score")
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anime_1.to_csv(self.data_transformation_config.transformed_data_path,index=False,header=True)
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save_object(
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file_path = self.data_transformation_config.similarity_obj_path,
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obj = similarity
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)
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logger.info("Saved the transformed dataframe & similarity matrix")
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logger.info("Transformation is completed")
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logger.info("---------------x DIRECTORY CHANGE x------------------")
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return (
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self.data_transformation_config.transformed_data_path,
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self.data_transformation_config.similarity_obj_path
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)
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except Exception as e:
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raise CustomException(e,sys)
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