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129 lines
4.5 KiB
Python
Executable file
129 lines
4.5 KiB
Python
Executable file
#!/usr/bin/env python
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"""
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Bulk load torents from mysql into elasticsearch `nyaav2` index,
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which is assumed to already exist.
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This is a one-shot deal, so you'd either need to complement it
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with a cron job or some binlog-reading thing (TODO)
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"""
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import sys
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import json
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from nyaa import app, db, models
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from elasticsearch import Elasticsearch
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from elasticsearch.client import IndicesClient
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from elasticsearch import helpers
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# This should be progressbar33
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import progressbar
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es = Elasticsearch(timeout=30)
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ic = IndicesClient(es)
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# turn into thing that elasticsearch indexes. We flatten in
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# the stats (seeders/leechers) so we can order by them in es naturally.
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# we _don't_ dereference uploader_id to the user's display name however,
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# instead doing that at query time. I _think_ this is right because
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# we don't want to reindex all the user's torrents just because they
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# changed their name, and we don't really want to FTS search on the user anyway.
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# Maybe it's more convenient to derefence though.
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def mk_es(t, index_name):
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return {
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"_id": t.id,
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"_type": "torrent",
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"_index": index_name,
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"_source": {
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# we're also indexing the id as a number so you can
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# order by it. seems like this is just equivalent to
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# order by created_time, but oh well
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"id": t.id,
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"display_name": t.display_name,
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"created_time": t.created_time,
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# not analyzed but included so we can render magnet links
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# without querying sql again.
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"info_hash": t.info_hash.hex(),
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"filesize": t.filesize,
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"uploader_id": t.uploader_id,
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"main_category_id": t.main_category_id,
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"sub_category_id": t.sub_category_id,
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"comment_count": t.comment_count,
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# XXX all the bitflags are numbers
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"anonymous": bool(t.anonymous),
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"trusted": bool(t.trusted),
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"remake": bool(t.remake),
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"complete": bool(t.complete),
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# TODO instead of indexing and filtering later
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# could delete from es entirely. Probably won't matter
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# for at least a few months.
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"hidden": bool(t.hidden),
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"deleted": bool(t.deleted),
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"has_torrent": t.has_torrent,
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# Stats
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"download_count": t.stats.download_count,
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"leech_count": t.stats.leech_count,
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"seed_count": t.stats.seed_count,
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}
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}
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# page through an sqlalchemy query, like the per_fetch but
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# doesn't break the eager joins its doing against the stats table.
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# annoying that this isn't built in somehow.
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def page_query(query, limit=sys.maxsize, batch_size=10000, progress_bar=None):
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start = 0
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while True:
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# XXX very inelegant way to do this, i'm confus
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stop = min(limit, start + batch_size)
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if stop == start:
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break
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things = query.slice(start, stop)
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if not things:
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break
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had_things = False
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for thing in things:
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had_things = True
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yield(thing)
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if not had_things or stop == limit:
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break
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if progress_bar:
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progress_bar.update(start)
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start = min(limit, start + batch_size)
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FLAVORS = [
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('nyaa', models.NyaaTorrent),
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('sukebei', models.SukebeiTorrent)
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]
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# Get binlog status from mysql
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master_status = db.engine.execute('SHOW MASTER STATUS;').fetchone()
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position_json = {
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'log_file': master_status[0],
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'log_pos': master_status[1]
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}
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print('Save the following in the file configured in your ES sync config JSON:')
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print(json.dumps(position_json))
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for flavor, torrent_class in FLAVORS:
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print('Importing torrents for index', flavor, 'from', torrent_class)
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bar = progressbar.ProgressBar(
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maxval=torrent_class.query.count(),
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widgets=[ progressbar.SimpleProgress(),
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' [', progressbar.Timer(), '] ',
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progressbar.Bar(),
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' (', progressbar.ETA(), ') ',
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])
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# turn off refreshes while bulk loading
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ic.put_settings(body={'index': {'refresh_interval': '-1'}}, index=flavor)
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bar.start()
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helpers.bulk(es, (mk_es(t, flavor) for t in page_query(torrent_class.query, progress_bar=bar)), chunk_size=10000)
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bar.finish()
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# Refresh the index immideately
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ic.refresh(index=flavor)
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print('Index refresh done.')
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# restore to near-enough real time
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ic.put_settings(body={'index': {'refresh_interval': '30s'}}, index=flavor)
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