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- """
- Export GoodReads-specific data from the book data tools.
- Usage:
- export.py --book-ids
- export.py --work-titles
- export.py --work-authors
- export.py --work-genres
- export.py --work-ratings
- export.py --work-actions
- """
- from pathlib import Path
- from docopt import docopt
- import pandas as pd
- import pyarrow as pa
- import pyarrow.parquet as pq
- from bookdata import script_log
- from bookdata import db
- _log = script_log('export-goodreads')
- def export_book_ids():
- query = '''
- SELECT gr_book_rid, gr_book_id, gr_work_id, cluster
- FROM gr.book_ids JOIN gr.book_cluster USING (gr_book_id)
- ORDER BY gr_book_rid
- '''
- with db.connect() as dbc:
- _log.info('reading book IDs')
- books = db.load_table(dbc, query)
- csv_fn = 'gr-book-ids.csv.gz'
- pq_fn = 'gr-book-ids.parquet'
- _log.info('writing CSV to %s', csv_fn)
- books.to_csv(csv_fn, index=False)
- _log.info('writing parquet to %s', pq_fn)
- books.to_parquet(pq_fn, index=False)
- def export_work_titles():
- query = f'''
- SELECT gr_work_id AS work_id, gr_work_rid, work_title
- FROM gr.work_title
- ORDER BY gr_work_rid
- '''
- with db.connect() as dbc:
- _log.info('reading work titles')
- books = db.load_table(dbc, query)
- pq_fn = 'gr-work-titles.parquet'
- _log.info('writing parquet to %s', pq_fn)
- books.to_parquet(pq_fn, index=False)
- _log.info('writing CSV')
- books.to_csv('gr-work-titles.csv.gz', index=False)
- def export_work_genres():
- query = f'''
- SELECT gr_work_id AS work_id, genre, sum(score::int) AS score
- FROM gr.book_ids JOIN gr.book_genres USING (gr_book_rid)
- GROUP BY work_id, genre
- ORDER BY work_id, genre
- '''
- with db.connect() as dbc:
- _log.info('reading work genres')
- genres = db.load_table(dbc, query)
- pq_fn = 'gr-work-genres.parquet'
- _log.info('writing parquet to %s', pq_fn)
- genres.to_parquet(pq_fn, index=False, compression='brotli')
- _log.info('writing CSV')
- genres.to_csv('gr-work-genres.csv.gz', index=False)
- def export_work_authors():
- query = f'''
- WITH
- pairs AS (SELECT DISTINCT gr_work_id AS work_id, gr_author_id
- FROM gr.book_ids JOIN gr.book_authors USING (gr_book_rid)
- WHERE author_role = '' AND gr_work_id IS NOT NULL)
- SELECT work_id, gr_author_id AS author_id, author_name
- FROM pairs JOIN gr.author_info USING (gr_author_id)
- ORDER BY work_id
- '''
- with db.connect() as dbc:
- _log.info('reading work authors')
- books = db.load_table(dbc, query)
- pq_fn = 'gr-work-authors.parquet'
- _log.info('writing parquet to %s', pq_fn)
- books.to_parquet(pq_fn, index=False, compression='brotli')
- _log.info('writing CSV')
- books.to_csv('gr-work-authors.csv.gz', index=False)
- def export_work_actions():
- query = '''
- SELECT gr_user_rid AS user, gr_work_id AS item,
- COUNT(rating) AS nactions,
- MIN(EXTRACT(EPOCH FROM date_updated)) AS first_time,
- MAX(EXTRACT(EPOCH FROM date_updated)) AS last_time
- FROM gr.interaction JOIN gr.book_ids USING (gr_book_id)
- WHERE gr_work_id IS NOT NULL
- GROUP BY gr_user_rid, gr_work_id
- ORDER BY MIN(date_updated)
- '''
- with db.connect() as dbc:
- _log.info('reading book shelf actions')
- actions = db.load_table(dbc, query, dtype={
- 'user': 'i4',
- 'item': 'i4',
- 'nactions': 'i4'
- })
- _log.info('writing actions')
- actions.to_parquet('gr-work-actions.parquet', index=False,
- compression='zstd', compression_level=5)
- def export_work_ratings():
- query = '''
- SELECT gr_user_rid AS user, gr_work_id AS item,
- MEDIAN(rating) AS rating,
- (array_agg(rating ORDER BY date_updated DESC))[1] AS last_rating,
- MEDIAN(EXTRACT(EPOCH FROM date_updated)) AS timestamp,
- COUNT(rating) AS nratings
- FROM gr.interaction JOIN gr.book_ids USING (gr_book_id)
- WHERE rating > 0 AND gr_work_id IS NOT NULL
- GROUP BY gr_user_rid, gr_work_id
- ORDER BY MIN(date_updated)
- '''
- with db.connect() as dbc:
- _log.info('reading book ratings')
- ratings = db.load_table(dbc, query, dtype={
- 'user': 'i4',
- 'item': 'i4',
- 'rating': 'f4',
- 'last_rating': 'f4',
- 'nratings': 'i4'
- })
- _log.info('writing ratings')
- ratings.to_parquet('gr-work-ratings.parquet', index=False,
- compression='zstd', compression_level=5)
- args = docopt(__doc__)
- if args['--book-ids']:
- export_book_ids()
- if args['--work-titles']:
- export_work_titles()
- if args['--work-authors']:
- export_work_authors()
- if args['--work-genres']:
- export_work_genres()
- if args['--work-ratings']:
- export_work_ratings()
- if args['--work-actions']:
- export_work_actions()
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