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#!/usr/bin/env python3
''' move items from queue to database '''
import os
import time
import pickle
import sqlite3
from litequeue import SQLQueue
from common.postgres import dbi
QUEUE_DB = os.environ.get('el_QUEUE_db', 'litequeue.db')
# Unlock all
con = sqlite3.connect(QUEUE_DB)
cur = con.cursor()
cur.execute("UPDATE Queue SET status = 0 WHERE status = 1")
con.commit()
con.close()
# Open Queue
q = SQLQueue(QUEUE_DB, maxsize=None)
q.prune()
msgids = []
values = []
i = 0
# Event loop
while True:
# Just sleep if queue is empty
if q.empty() is True:
time.sleep(10)
continue
# get message
task = q.pop()
raw = pickle.loads(task['message'])
msgids.append(task['message_id'])
sql = raw[0]
# if the queue-item already is a batch-job, don't do any more batch-work
if isinstance(raw[1], list):
values = raw[1]
i = 10
else:
values.append(raw[1])
# Check if we can batch up with the next message in queue
i += 1
if i < 10 and q.qsize() - len(msgids) >= 1:
nextraw = pickle.loads(q.peek()['message'])
nextsql = nextraw[0]
nextvalues = nextraw[1]
if sql == nextsql and isinstance(nextvalues, tuple):
continue
dbi(sql,values)
for msgid in msgids:
q.done(msgid)
table = sql.split(' ')[2]
num = 1 if isinstance(values, tuple) else len(values)
left = str(q.qsize()) + " items left in queue" if q.qsize() > 0 else ''
print("Processed", num, "item(s) for table", table + ".", left)
msgids = []
values = []
i=0
print("END")
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