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nyaa/import_to_es.py

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#!/usr/bin/env python
"""
Bulk load torents from mysql into elasticsearch `nyaav2` index,
which is assumed to already exist.
This is a one-shot deal, so you'd either need to complement it
with a cron job or some binlog-reading thing (TODO)
"""
from nyaa import app
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from nyaa.models import Torrent
from elasticsearch import Elasticsearch
from elasticsearch.client import IndicesClient
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from elasticsearch import helpers
import progressbar
import sys
bar = progressbar.ProgressBar(
max_value=Torrent.query.count(),
widgets=[
progressbar.SimpleProgress(),
' [', progressbar.Timer(), '] ',
progressbar.Bar(),
' (', progressbar.ETA(), ') ',
])
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es = Elasticsearch(timeout=30)
ic = IndicesClient(es)
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# turn into thing that elasticsearch indexes. We flatten in
# the stats (seeders/leechers) so we can order by them in es naturally.
# we _don't_ dereference uploader_id to the user's display name however,
# instead doing that at query time. I _think_ this is right because
# we don't want to reindex all the user's torrents just because they
# changed their name, and we don't really want to FTS search on the user anyway.
# Maybe it's more convenient to derefence though.
def mk_es(t):
return {
"_id": t.id,
"_type": "torrent",
"_index": app.config['ES_INDEX_NAME'],
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"_source": {
# we're also indexing the id as a number so you can
# order by it. seems like this is just equivalent to
# order by created_time, but oh well
"id": t.id,
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"display_name": t.display_name,
"created_time": t.created_time,
# not analyzed but included so we can render magnet links
# without querying sql again.
"info_hash": t.info_hash.hex(),
"filesize": t.filesize,
"uploader_id": t.uploader_id,
"main_category_id": t.main_category_id,
"sub_category_id": t.sub_category_id,
# XXX all the bitflags are numbers
"anonymous": bool(t.anonymous),
"trusted": bool(t.trusted),
"remake": bool(t.remake),
"complete": bool(t.complete),
# TODO instead of indexing and filtering later
# could delete from es entirely. Probably won't matter
# for at least a few months.
"hidden": bool(t.hidden),
"deleted": bool(t.deleted),
"has_torrent": t.has_torrent,
# Stats
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"download_count": t.stats.download_count,
"leech_count": t.stats.leech_count,
"seed_count": t.stats.seed_count,
}
}
# page through an sqlalchemy query, like the per_fetch but
# doesn't break the eager joins its doing against the stats table.
# annoying that this isn't built in somehow.
def page_query(query, limit=sys.maxsize, batch_size=10000):
start = 0
while True:
# XXX very inelegant way to do this, i'm confus
stop = min(limit, start + batch_size)
if stop == start:
break
things = query.slice(start, stop)
if not things:
break
had_things = False
for thing in things:
had_things = True
yield(thing)
if not had_things or stop == limit:
break
bar.update(start)
start = min(limit, start + batch_size)
# turn off refreshes while bulk loading
ic.put_settings(body={'index': {'refresh_interval': '-1'}}, index=app.config['ES_INDEX_NAME'])
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helpers.bulk(es, (mk_es(t) for t in page_query(Torrent.query)), chunk_size=10000)
# restore to near-enough real time
ic.put_settings(body={'index': {'refresh_interval': '30s'}}, index=app.config['ES_INDEX_NAME'])