def delete_redshift_cluster():
"""
This function deletes a cluster
:return:
"""
print("1.1 Client is created ...")
redshift = boto3.client('redshift',
region_name="us-west-2",
aws_access_key_id=KEY,
aws_secret_access_key=SECRET)
print("1.2 Cluster is identified ...")
try:
redshift.delete_cluster(ClusterIdentifier=DWH_CLUSTER_IDENTIFIER,
SkipFinalClusterSnapshot=True)
except ClientError as e:
print(f'ERROR: {e}')
try:
print("1.3 Cluster is being deleted ...")
while redshift.describe_clusters(
ClusterIdentifier=DWH_CLUSTER_IDENTIFIER)\
['Clusters'][0]['ClusterStatus'] == 'deleting':
utils.animate()
except:
print("\r1.4 Cluster is deleted successfully ...")
return None
def call(self):
unread_text = Popen(["newsbeuter", "-x", "print-unread"], stdout=PIPE).communicate()[0]
if unread_text.startswith("Error:"): return
unread_items = int(unread_text.split()[0])
if unread_items > 0:
yield animate(10, "Newsbeuter: %d unread news." % (unread_items,))
else:
yield animate(10, "Newsbeuter: No unread news.")
def mpd_np():
"""Display the mpd status via mpc."""
try:
status_output = Popen(["mpc", "status"], stdout=PIPE).communicate()[0]
except OSError:
yield wait(5, "mpc not installed :(")
return
result = ""
lines = status_output.split("\n")
if len(lines) < 3: # stopped
yield wait(10, "MPD stopped")
else:
result += "MPD " + lines[1].split()[0] + " " + lines[0].strip()
yield animate(10, result)
yield animate(10, lines[1].split()[2])
def memory_free():
"""Display the used RAM and Swap space."""
yield animate(2, "Used RAM")
# Parse the output of the "free" command. :(
free_output = Popen(["free"], stdout=PIPE).communicate()[0]
# get the interesting lines
interesting = free_output.split("\n")[1:]
total_ram = float(interesting[0].split()[1])
used_ram = int(interesting[1].split()[2]) / total_ram
total_swap = float(interesting[2].split()[1])
used_swap = int(interesting[2].split()[2]) / total_swap
yield animate(10, utils.pretty_progressbar(used_ram, 80))
yield animate(2, "Used Swap Space")
yield animate(10, utils.pretty_progressbar(used_swap, 80))
def battery():
"""Display the battery status via acpi."""
try:
status_output = Popen(["acpi"], stdout=PIPE).communicate()[0]
except OSError:
yield wait(5, "battery status could not be determined.")
return
yield animate(10, status_output.split("\n")[0])
def create_redshift_cluster(roleArn):
"""
This function creates a cluster on your behalf
:param roleArn:
:return:
"""
print("1.1 Client is created ...")
redshift = boto3.client('redshift',
region_name="us-west-2",
aws_access_key_id=KEY,
aws_secret_access_key=SECRET)
try:
print("1.2 Cluster config is being created ...")
redshift.create_cluster(
# HW
ClusterType=DWH_CLUSTER_TYPE,
NodeType=DWH_NODE_TYPE,
NumberOfNodes=int(DWH_NUM_NODES),
# Identifiers & Credentials
DBName=DWH_DB,
ClusterIdentifier=DWH_CLUSTER_IDENTIFIER,
MasterUsername=DWH_DB_USER,
MasterUserPassword=DWH_DB_PASSWORD,
# Roles (for s3 access)
IamRoles=[roleArn])
except ClientError as e:
print(f'ERROR: {e}')
print("1.3 Cluster is being created ...")
while redshift.describe_clusters(
ClusterIdentifier=DWH_CLUSTER_IDENTIFIER)\
['Clusters'][0]['ClusterStatus'] != 'available':
utils.animate()
print("\r1.4 Cluster is created successfully ...")
return redshift.describe_clusters(
ClusterIdentifier=DWH_CLUSTER_IDENTIFIER)\
['Clusters'][0]['Endpoint']['Address']
def save_plots(self, data_dict, ep):
animate(self.matrix3d, data_dict['valve.npy'],
self.dir + 'valve' + str(ep) + '.mp4')
animate(self.matrix3d, data_dict['myocardium.npy'],
self.dir + 'myocardium' + str(ep) + '.mp4')
animate(self.matrix3d, data_dict['s.npy'],
self.dir + 's' + str(ep) + '.mp4')
fig, ax = plt.subplots(figsize=(8, 8), nrows=2, ncols=2)
U = data_dict['U'].reshape((self.vert, self.horz, self.d))
ax[0, 0].imshow(U[:, :, 0], cmap='binary')
ax[0, 1].imshow(U[:, :, 1], cmap='binary')
plt.savefig(self.dir + 'U' + str(ep) + '.jpg')
plt.plot(data_dict['V'])
plt.savefig(self.dir + 'V' + str(ep) + '.jpg')
def env_plot(self): plot_time_series(self.sim_obj.grid) animate(self.sim_obj.grid,True,self.color_list,0.5)
def startup_animation():
"""Animate the startup of the script."""
yield wait(1, "DWM Status Bar Animator")
yield animate(1, "a silly script by timonator")
time.sleep(ticks)
except KeyboardInterrupt:
pass
# kill seller thread
seller_apple.kill()
seller_samsung.kill()
Save(seller_apple, object_type='seller')
Save(seller_samsung, object_type='seller')
# Plot the sales and expenditure trends
plot(seller_apple)
plot(seller_samsung)
regression(seller_apple)
regression(seller_samsung)
for product in seller_apple.product_list:
print('Total Profit Apple ' + product.name + ': ', seller_apple.my_profit(product))
for product in seller_samsung.product_list:
print('Total Profit Samsung ' + product.name + ': ', seller_samsung.my_profit(product))
# Kill consumer threads
for consumer in customers:
consumer.kill()
dataCenter.kill()
utils.animate(dataCenter)
# from market import Market
# correlation_map = Market.correlation_map
INFO = { # parameters for the animation
"quarto_stato": {
"fps": 10
},
"arduino": {
"fps": 20
}
}
if __name__ == "__main__":
out_mode = get_out_mode()
for name in INFO.keys():
print("\n" + name + ".png")
target = mpimg.imread("images/" + name + "/target.png")
model = mpimg.imread("images/" + name + "/model.png")
swarm = Swarm([(0, target.shape[1] - model.shape[1]), (0, target.shape[0] - model.shape[0])],
lambda x, y: dissimilarity(x, y, model, target), 0.5)
if out_mode == ANIMATION:
display(model, target, name)
fig, title, boxes = init(model, target, name)
anim = animate(fig, update, lambda: gen_data(swarm), INFO[name]["fps"])
# save(anim, name + "/" + name, INFO[name]["fps"], ".mp4")
elif out_mode == TEXT:
swarm.minimize()
print()
