96 lines
3.4 KiB
Python
96 lines
3.4 KiB
Python
|
import logging
|
||
|
import json
|
||
|
import time
|
||
|
|
||
|
from datetime import timedelta, datetime
|
||
|
from itertools import chain
|
||
|
|
||
|
import features
|
||
|
from app import app, storage
|
||
|
from data.database import UseThenDisconnect
|
||
|
from data.model import db_transaction
|
||
|
from data.model.log import (get_stale_logs, get_stale_logs_start_id,
|
||
|
get_stale_logs_end_id, delete_stale_logs)
|
||
|
from util.registry.gzipwrap import GzipWrap
|
||
|
from workers.globalworkerbase import GlobalWorker
|
||
|
|
||
|
logger = logging.getLogger(__name__)
|
||
|
|
||
|
WORKER_FREQUENCY = 3600
|
||
|
STALE_AFTER = timedelta(days=30)
|
||
|
MIN_LOGS_PER_ROTATION = 10000
|
||
|
BATCH_SIZE = 500
|
||
|
SAVE_PATH = app.config.get('ACTION_LOG_ARCHIVE_PATH')
|
||
|
SAVE_LOCATION = app.config.get('ACTION_LOG_ARCHIVE_LOCATION')
|
||
|
|
||
|
class LogRotateWorker(GlobalWorker):
|
||
|
""" Worker used to rotate old logs out the database and into storage. """
|
||
|
def __init__(self):
|
||
|
super(LogRotateWorker, self).__init__(app, sleep_period_seconds=WORKER_FREQUENCY)
|
||
|
|
||
|
def perform_global_work(self):
|
||
|
logger.debug('Attempting to rotate log entries')
|
||
|
with UseThenDisconnect(app.config):
|
||
|
with db_transaction():
|
||
|
cutoff = datetime.now() - STALE_AFTER
|
||
|
start_id = get_stale_logs_start_id()
|
||
|
end_id = get_stale_logs_end_id(cutoff)
|
||
|
|
||
|
if start_id is None or end_id is None:
|
||
|
logger.warning('No logs to be archived.')
|
||
|
return
|
||
|
|
||
|
logger.debug('Found starting ID %s and ending ID %s', start_id, end_id)
|
||
|
|
||
|
approx_count = end_id - start_id
|
||
|
if approx_count < MIN_LOGS_PER_ROTATION:
|
||
|
logger.debug('Not enough stale logs to warrant rotation (approx %d)', approx_count)
|
||
|
return
|
||
|
|
||
|
# Build a generator of all the logs we want to archive in batches of 500.
|
||
|
log_generator = (_ for _ in ())
|
||
|
logs_to_fetch = range(start_id, end_id+1)
|
||
|
while len(logs_to_fetch) != 0:
|
||
|
(batch, logs_to_fetch) = _take(BATCH_SIZE, logs_to_fetch)
|
||
|
logger.debug('Reading archived logs from IDs %s to %s', batch[0], batch[-1])
|
||
|
batch_generator = (pretty_print_in_json(log) + '\n'
|
||
|
for log in get_stale_logs(batch[0], batch[-1]))
|
||
|
log_generator = chain(log_generator, batch_generator)
|
||
|
|
||
|
logger.debug('Archiving logs from IDs %s to %s', start_id, end_id)
|
||
|
filename = '%s%d-%d.txt.gz' % (SAVE_PATH, start_id, end_id)
|
||
|
storage.stream_write(SAVE_LOCATION, filename, GzipWrap(log_generator))
|
||
|
|
||
|
logs_to_delete = range(start_id, end_id+1)
|
||
|
while len(logs_to_delete) != 0:
|
||
|
(batch, logs_to_delete) = _take(BATCH_SIZE, logs_to_delete)
|
||
|
logger.debug('Deleting archived logs from IDs %s to %s', batch[0], batch[-1])
|
||
|
delete_stale_logs(batch[0], batch[-1])
|
||
|
|
||
|
|
||
|
def _take(count, lst):
|
||
|
return lst[:count], lst[count:]
|
||
|
|
||
|
def pretty_print_in_json(log):
|
||
|
""" Pretty prints a LogEntry in JSON. """
|
||
|
return json.dumps({'kind_id': log.kind_id,
|
||
|
'account_id': log.account_id,
|
||
|
'performer_id': log.performer_id,
|
||
|
'repository_id': log.repository_id,
|
||
|
'datetime': str(log.datetime),
|
||
|
'ip': str(log.ip),
|
||
|
'metadata_json': json.loads(str(log.metadata_json))})
|
||
|
|
||
|
|
||
|
def main():
|
||
|
if not features.ACTION_LOG_ROTATION or None in [SAVE_PATH, SAVE_LOCATION]:
|
||
|
while True:
|
||
|
time.sleep(100000)
|
||
|
|
||
|
worker = LogRotateWorker()
|
||
|
worker.start()
|
||
|
|
||
|
|
||
|
if __name__ == "__main__":
|
||
|
main()
|