def run(self, params):
# If there are more than this much items on the queue, we don't try to check if our mongodb
# jobs are still queued.
max_queue_items = params.get("max_queue_items", 1000)
stats = {"fetched": 0, "requeued": 0}
# This was only checking in Redis and wasn't resistant to a redis-wide flush.
# Doing Queue.all() is slower but covers more edge cases.
# all_queues = Queue.all_known()
all_queues = Queue.all()
log.info("Checking %s queues" % len(all_queues))
for queue_name in all_queues:
queue = Queue(queue_name)
queue_size = queue.size()
# If the queue is raw, the jobs were only stored in redis so they are lost for good.
if queue.is_raw:
continue
log.info("Checking queue %s" % queue_name)
if queue_size > max_queue_items:
log.info("Stopping because queue %s has %s items" % (queue_name, queue_size))
continue
queue_jobs_ids = set(queue.list_job_ids(limit=max_queue_items + 1))
if len(queue_jobs_ids) >= max_queue_items:
log.info(
"Stopping because queue %s actually had more than %s items" % (queue_name, len(queue_jobs_ids))
)
continue
for job_data in connections.mongodb_jobs.mrq_jobs.find(
{"queue": queue_name, "status": "queued"}, projection={"_id": 1}
).sort([["_id", 1]]):
stats["fetched"] += 1
if str(job_data["_id"]) in queue_jobs_ids:
log.info("Found job %s on queue %s. Stopping" % (job_data["_id"], queue.id))
break
# At this point, this job is not on the queue and we're sure
# the queue is less than max_queue_items
# We can safely requeue the job.
log.info("Requeueing %s on %s" % (job_data["_id"], queue.id))
stats["requeued"] += 1
job = Job(job_data["_id"])
job.requeue(queue=queue_name)
return stats
def run(self, params):
# If there are more than this much items on the queue, we don't try to check if our mongodb
# jobs are still queued.
max_queue_items = params.get("max_queue_items", 1000)
stats = {"fetched": 0, "requeued": 0}
all_queues = Queue.all()
for queue_name in all_queues:
queue = Queue(queue_name)
queue_size = queue.size()
if queue.is_raw:
continue
log.info("Checking queue %s" % queue_name)
if queue_size > max_queue_items:
log.info("Stopping because queue %s has %s items" %
(queue_name, queue_size))
continue
queue_jobs_ids = set(queue.list_job_ids(limit=max_queue_items + 1))
if len(queue_jobs_ids) >= max_queue_items:
log.info(
"Stopping because queue %s actually had more than %s items"
% (queue_name, len(queue_jobs_ids)))
continue
for job_data in connections.mongodb_jobs.mrq_jobs.find(
{
"queue": queue_name,
"status": "queued"
},
projection={
"_id": 1
}).sort([["_id", 1]]):
stats["fetched"] += 1
if str(job_data["_id"]) in queue_jobs_ids:
log.info("Found job %s on queue %s. Stopping" %
(job_data["_id"], queue.id))
break
# At this point, this job is not on the queue and we're sure
# the queue is less than max_queue_items
# We can safely requeue the job.
log.info("Requeueing %s on %s" % (job_data["_id"], queue.id))
stats["requeued"] += 1
job = Job(job_data["_id"])
job.requeue(queue=queue_name)
return stats
def api_datatables(unit):
# import time
# time.sleep(5)
collection = None
sort = None
skip = int(request.args.get("iDisplayStart", 0))
limit = int(request.args.get("iDisplayLength", 20))
if unit == "queues":
queues = []
for name, jobs in Queue.all().items():
queue = Queue(name)
q = {
"name": name,
"jobs": jobs, # MongoDB size
"size": queue.size(), # Redis size
"is_sorted": queue.is_sorted,
"is_timed": queue.is_timed,
"is_raw": queue.is_raw,
"is_set": queue.is_set
}
if queue.is_sorted:
raw_config = cfg.get("raw_queues", {}).get(name, {})
q["graph_config"] = raw_config.get("dashboard_graph", lambda: {
"start": time.time() - (7 * 24 * 3600),
"stop": time.time() + (7 * 24 * 3600),
"slices": 30
} if queue.is_timed else {
"start": 0,
"stop": 100,
"slices": 30
})()
if q["graph_config"]:
q["graph"] = queue.get_sorted_graph(**q["graph_config"])
if queue.is_timed:
q["jobs_to_dequeue"] = queue.count_jobs_to_dequeue()
queues.append(q)
queues.sort(key=lambda x: -(x["jobs"] + x["size"]))
data = {
"aaData": queues,
"iTotalDisplayRecords": len(queues)
}
elif unit == "workers":
fields = None
query = {"status": {"$nin": ["stop"]}}
collection = connections.mongodb_jobs.mrq_workers
sort = [("datestarted", -1)]
if request.args.get("showstopped"):
query = {}
elif unit == "scheduled_jobs":
collection = connections.mongodb_jobs.mrq_scheduled_jobs
fields = None
query = {}
elif unit == "jobs":
fields = None
query = build_api_datatables_query(request)
sort = [("_id", 1)]
# We can't search easily params because we store it as decoded JSON in mongo :(
# Add a string index?
# if request.args.get("sSearch"):
# query.update(json.loads(request.args.get("sSearch")))
collection = connections.mongodb_jobs.mrq_jobs
if collection is not None:
cursor = collection.find(query, projection=fields)
if sort:
cursor.sort(sort)
if skip is not None:
cursor.skip(skip)
if limit is not None:
cursor.limit(limit)
data = {
"aaData": list(cursor),
"iTotalDisplayRecords": collection.find(query).count()
}
data["sEcho"] = request.args["sEcho"]
return jsonify(data)
def api_datatables(unit):
# import time
# time.sleep(5)
collection = None
sort = None
skip = int(request.args.get("iDisplayStart", 0))
limit = int(request.args.get("iDisplayLength", 20))
if unit == "queues":
queues = []
for name, jobs in Queue.all().items():
queue = Queue(name)
q = {
"name": name,
"jobs": jobs, # MongoDB size
"size": queue.size(), # Redis size
"is_sorted": queue.is_sorted,
"is_timed": queue.is_timed,
"is_raw": queue.is_raw,
"is_set": queue.is_set
}
if queue.is_sorted:
raw_config = cfg.get("raw_queues", {}).get(name, {})
q["graph_config"] = raw_config.get(
"dashboard_graph", lambda: {
"start": time.time() - (7 * 24 * 3600),
"stop": time.time() + (7 * 24 * 3600),
"slices": 30
} if queue.is_timed else {
"start": 0,
"stop": 100,
"slices": 30
})()
if q["graph_config"]:
q["graph"] = queue.get_sorted_graph(**q["graph_config"])
if queue.is_timed:
q["jobs_to_dequeue"] = queue.count_jobs_to_dequeue()
queues.append(q)
queues.sort(key=lambda x: -(x["jobs"] + x["size"]))
data = {"aaData": queues, "iTotalDisplayRecords": len(queues)}
elif unit == "workers":
fields = None
query = {"status": {"$nin": ["stop"]}}
collection = connections.mongodb_jobs.mrq_workers
sort = [("datestarted", -1)]
if request.args.get("showstopped"):
query = {}
elif unit == "scheduled_jobs":
collection = connections.mongodb_jobs.mrq_scheduled_jobs
fields = None
query = {}
elif unit == "jobs":
fields = None
query = build_api_datatables_query(request)
sort = [("_id", 1)]
# We can't search easily params because we store it as decoded JSON in mongo :(
# Add a string index?
# if request.args.get("sSearch"):
# query.update(json.loads(request.args.get("sSearch")))
collection = connections.mongodb_jobs.mrq_jobs
if collection is not None:
cursor = collection.find(query, fields=fields)
if sort:
cursor.sort(sort)
if skip is not None:
cursor.skip(skip)
if limit is not None:
cursor.limit(limit)
data = {
"aaData": list(cursor),
"iTotalDisplayRecords": collection.find(query).count()
}
data["sEcho"] = request.args["sEcho"]
return jsonify(data)
