X-Git-Url: https://code.communitydata.science/cdsc_reddit.git/blobdiff_plain/541e125b28dbca5c06d2160a5cd59ce112657b2a..refs/heads/synced/excise_reindex:/similarities/tfidf.py?ds=inline diff --git a/similarities/tfidf.py b/similarities/tfidf.py index 01b0b20..c44fd0d 100644 --- a/similarities/tfidf.py +++ b/similarities/tfidf.py @@ -2,9 +2,12 @@ import fire from pyspark.sql import SparkSession from pyspark.sql import functions as f from similarities_helper import tfidf_dataset, build_weekly_tfidf_dataset, select_topN_subreddits +from functools import partial -def _tfidf_wrapper(func, inpath, outpath, topN, term_colname, exclude, included_subreddits): - spark = SparkSession.builder.getOrCreate()y +inpath = '/gscratch/comdata/users/nathante/competitive_exclusion_reddit/data/tfidf/comment_authors_compex.parquet' +# include_terms is a path to a parquet file that contains a column of term_colname + '_id' to include. +def _tfidf_wrapper(func, inpath, outpath, topN, term_colname, exclude, included_subreddits, included_terms=None, min_df=None, max_df=None): + spark = SparkSession.builder.getOrCreate() df = spark.read.parquet(inpath) @@ -15,50 +18,71 @@ def _tfidf_wrapper(func, inpath, outpath, topN, term_colname, exclude, included_ else: include_subs = select_topN_subreddits(topN) - dfwriter = func(df, include_subs, term_colname) + include_subs = spark.sparkContext.broadcast(include_subs) + + # term_id = term_colname + "_id" + + if included_terms is not None: + terms_df = spark.read.parquet(included_terms) + terms_df = terms_df.select(term_colname).distinct() + df = df.join(terms_df, on=term_colname, how='left_semi') + + dfwriter = func(df, include_subs.value, term_colname) dfwriter.parquet(outpath,mode='overwrite',compression='snappy') spark.stop() -def tfidf(inpath, outpath, topN, term_colname, exclude, included_subreddits): - return _tfidf_wrapper(tfidf_dataset, inpath, outpath, topN, term_colname, exclude, included_subreddits) +def tfidf(inpath, outpath, topN, term_colname, exclude, included_subreddits, min_df, max_df): + tfidf_func = partial(tfidf_dataset, max_df=max_df, min_df=min_df) + return _tfidf_wrapper(tfidf_func, inpath, outpath, topN, term_colname, exclude, included_subreddits) + +def tfidf_weekly(inpath, outpath, static_tfidf_path, topN, term_colname, exclude, included_subreddits): + return _tfidf_wrapper(build_weekly_tfidf_dataset, inpath, outpath, topN, term_colname, exclude, included_subreddits, included_terms=static_tfidf_path) -def tfidf_weekly(inpath, outpath, topN, term_colname, exclude, included_subreddits): - return _tfidf_wrapper(build_weekly_tfidf_dataset, inpath, outpath, topN, term_colname, exclude, included_subreddits) def tfidf_authors(inpath="/gscratch/comdata/output/reddit_ngrams/comment_authors.parquet", outpath='/gscratch/comdata/output/reddit_similarity/tfidf/comment_authors.parquet', topN=None, - included_subreddits=None): + included_subreddits=None, + min_df=None, + max_df=None): return tfidf(inpath, outpath, topN, 'author', ['[deleted]','AutoModerator'], - included_subreddits=included_subreddits + included_subreddits=included_subreddits, + min_df=min_df, + max_df=max_df ) def tfidf_terms(inpath="/gscratch/comdata/output/reddit_ngrams/comment_terms.parquet", outpath='/gscratch/comdata/output/reddit_similarity/tfidf/comment_terms.parquet', topN=None, - included_subreddits=None): + included_subreddits=None, + min_df=None, + max_df=None): return tfidf(inpath, outpath, topN, 'term', [], - included_subreddits=included_subreddits + included_subreddits=included_subreddits, + min_df=min_df, + max_df=max_df ) def tfidf_authors_weekly(inpath="/gscratch/comdata/output/reddit_ngrams/comment_authors.parquet", + static_tfidf_path="/gscratch/comdata/output/reddit_similarity/tfidf/comment_authors.parquet", outpath='/gscratch/comdata/output/reddit_similarity/tfidf_weekly/comment_authors.parquet', topN=None, included_subreddits=None): return tfidf_weekly(inpath, outpath, + static_tfidf_path, topN, 'author', ['[deleted]','AutoModerator'], @@ -66,6 +90,7 @@ def tfidf_authors_weekly(inpath="/gscratch/comdata/output/reddit_ngrams/comment_ ) def tfidf_terms_weekly(inpath="/gscratch/comdata/output/reddit_ngrams/comment_terms.parquet", + static_tfidf_path="/gscratch/comdata/output/reddit_similarity/tfidf/comment_terms.parquet", outpath='/gscratch/comdata/output/reddit_similarity/tfidf_weekly/comment_terms.parquet', topN=None, included_subreddits=None): @@ -73,6 +98,7 @@ def tfidf_terms_weekly(inpath="/gscratch/comdata/output/reddit_ngrams/comment_te return tfidf_weekly(inpath, outpath, + static_tfidf_path, topN, 'term', [],