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