similarities/#tfidf_weekly.py#

   1 from pyspark.sql import functions as f
   2 from pyspark.sql import SparkSession
   3 from pyspark.sql import Window
   4 from similarities_helper import build_weekly_tfidf_dataset
   5 import pandas as pd
   6
   7 def tfidf_weekly(inpath, outpath, topN, term_colname, exclude):
   8
   9 spark = SparkSession.builder.getOrCreate()
  10 df = spark.read.parquet("/gscratch/comdata/output/reddit_ngrams/comment_terms.parquet")
  11
  12 include_subs = pd.read_csv("/gscratch/comdata/output/reddit_similarity/subreddits_by_num_comments.csv")
  13
  14 include_subs = set(include_subs.loc[include_subs.comments_rank <= 25000]['subreddit'])
  15
  16 # remove [deleted] and AutoModerator (TODO remove other bots)
  17 # df = df.filter(df.author != '[deleted]')
  18 # df = df.filter(df.author != 'AutoModerator')
  19
  20 df = build_weekly_tfidf_dataset(df, include_subs, 'term')
  21
  22
  23 df.write.parquet('/gscratch/comdata/output/reddit_similarity/tfidf_weekly/comment_terms.parquet', mode='overwrite', compression='snappy')
  24 spark.stop()