Security News
Introducing the Socket Python SDK
The initial version of the Socket Python SDK is now on PyPI, enabling developers to more easily interact with the Socket REST API in Python projects.
mnqueues
stands for Monitored Queues - a coupling between Python multiprocessing
Queue() and a Monitor entity. A Monitor collect and alerts on Queue usage statistics.
mnqueues
tracks several measures per queue:
To install mnqueues
type:
pip install mnqueues
To create a monitored queue:
import mnqueues as mnq
from mnqueues.gcp_monitor import GCPMonitor
q = mnq.MNQueue(monitor=GCPMonitor("some-unique-name"))
The MNQueue()
object encapsulated Python multiprocessing.Queue()
and supports same functions. The MNQueue() object can be passed between processes, like a Queue() object.
from mnqueues.log_monitor import LOGMonitor
monitor = LOGMonitor("log-file-name")
Log all put()
and get()
calls to a log file with the the name log-file-name.log
with the following format:
[<OS process-id>]->2021-07-07 21:31:14 INFO:get counter: 5003
[<OS process-id>]->2021-07-07 21:31:14 INFO:get counter: 4997
from mnqueues.gcp_monitor import GCPMonitor
monitor = GCPMonitor("unique-name")
All calls to put()
and get()
are sent to Google Cloud Monitor. The Monitor class sends data to two custom measures:
OpenCensus/mnqueues.{name}.number_queue_get
(line, no aggregation on GCP required)OpenCensus/mnqueues.{name}.number_queue_put
(line, no aggregation on GCP required)OpenCensus/mnqueues.{name}.time_in_queue_distribution
(heat-map with sum, shows latency distribution)Note that {name}
is passed as a parameter when constructing the Monitor and it aims to assist in creating dash-boards for specific use-cases.
See for details.
pytest
on the project tests folder.Can be found in the tests folder.
Contributions are highly appreciated. Please review our
Code of Conduct. Bug reports & feature requests can be left in the Issues
section, or email me at amor71@sgeltd.com
FAQs
Monitored Multiprocessing Queues in Python
We found that mnqueues demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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