aaronpolhamus

"""Task locking with redis in celery is hard, and good examples are tough to come by. This is the approach that's
worked for me, based on great work that other folks have posted:
* https://breadcrumbscollector.tech/what-is-celery-beat-and-how-to-use-it-part-2-patterns-and-caveats/
* http://loose-bits.com/2010/10/distributed-task-locking-in-celery.html
* https://redis.io/topics/distlock

This isn't polished,but hopefully it's useful. To verify it in our local test env we register the following test task in
our definitions file: 

*** definitions.py *** 

aaronpolhamus

# [1] Docker installation: https://docs.docker.com/install/linux/docker-ce/fedora/
# [2] Docker compose: https://github.com/Yelp/docker-compose/blob/master/docs/install.md
# [3] NVIDIA docker installation: https://github.com/NVIDIA/nvidia-docker/issues/553#issuecomment-381075335
# [4] Tensorflow docker installation: https://www.tensorflow.org/install/docker

# [1] install dnf-plugins-core
sudo dnf -y install dnf-plugins-core

# [1] setup stable repository
sudo dnf config-manager \

aaronpolhamus

# Credits:
# [1] https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html (CUDA)
# [2] https://www.if-not-true-then-false.com/2015/fedora-nvidia-guide/ (Drivers)

yum install nano

# In /etc/sysconfig/selinux update to SELINUX=disabled (takes down firewall and speeds up downloads)

# [1] Install kernel headers
sudo dnf install kernel-devel-$(uname -r) kernel-headers-$(uname -r)

aaronpolhamus

from datetime import datetime

from airflow.models import DAG
from airflow.operators.python_operator import PythonOperator


DAG = DAG(
  dag_id='scheduler_test_dag',
  start_date=datetime(2017, 9, 9, 4, 0, 0, 0), #..EC2 time. Equal to 11pm hora México
  max_active_runs=1,

aaronpolhamus

#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

aaronpolhamus

#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

aaronpolhamus

#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

aaronpolhamus

#!/usr/bin/env python

from __future__ import print_function
import os

from apiclient.discovery import build
from httplib2 import Http
from oauth2client import file, client, tools
try:
    import argparse

aaronpolhamus

import numpy as np
import cv2

file_name = '/home/ubuntu/motocross.mp4'

cap = cv2.VideoCapture(file_name)

counter = 0
while(True):
    # Capture frame-by-frame

aaronpolhamus

import matplotlib
import matplotlib.pyplot as plt
import numpy as np

t = np.arange(0.0, 2.0, 0.01)
s = np.sin(2*np.pi*t)
plt.plot(t, s)

plt.xlabel('time (s)')
plt.ylabel('voltage (mV)')