knil-sama

$('#global_sentiment').html('   <p>Debug @remove count good : '+response["count_good"]+' count neutral : '+response["count_neutral"]+' count bad : '+response["count_bad"]+'</p> \
    <div class="progress">\
    <div class="progress-bar progress-bar-success" role="progressbar" style="width:'+response["pourcent_good"]+'%">\
    Positive\
  </div>\
  <div class="progress-bar progress-bar-warning" role="progressbar" style="width:'+response["pourcent_neutral"]+'%">\
    Neutral\
  </div>\
  <div class="progress-bar progress-bar-danger" role="progressbar" style="width:'+response["pourcent_bad"]+'%">\
    Negative\

knil-sama

def unjsonify(data) -> dict:
    """
    Convert binary to json
    Args:
        data: Binary json returned by Flask
    Returns:
        str:
    """
return json.loads(data.decode('utf-8'))

knil-sama

import boto3

def creation_table_scaling(table_name: str, key_name: str, key_type: str, max_read_capacity: int, max_write_capacity: int):
    """
    Create table dynamodb and make it scale then wait for it to be created
    Args:
        table_name (str): the name of the table to create
        key_name (str): the name of the key, and main attribute of the table
        key_type (str): the data type for the attribute, S for string, N for number, B for binary
        max_read_capacity(int) : Max nb of read per minute

knil-sama

import boto3
dynamodb = boto3.resource('dynamodb')
table = dynamodb.create_table( 
  TableName='fake_table', 
  KeySchema=[ { 'AttributeName': 'id_key', 'KeyType': 'HASH' }, ],
  AttributeDefinitions=[ { 'AttributeName': 'id_key', 'AttributeType': 'S' }, ],
  ProvisionedThroughput={ 'ReadCapacityUnits': 10, 'WriteCapacityUnits': 10 } )

knil-sama

import boto3
autoscaling_client = boto3.client('application-autoscaling')
#Read capacity
autoscaling_client.register_scalable_target(ServiceNamespace='dynamodb',
                                            ResourceId='table/fake_table',
                                            ScalableDimension='dynamodb:table:ReadCapacityUnits',
                                            MinCapacity=5,
                                            MaxCapacity=100)
#Write capacity
autoscaling_client.register_scalable_target(ServiceNamespace='dynamodb',

knil-sama

import boto3
autoscaling_client = boto3.client('application-autoscaling')

percent_of_use_to_aim_for = 50.0
scale_out_cooldown_in_seconds = 60
scale_in_cooldown_in_seconds = 60
autoscaling_client.put_scaling_policy(ServiceNamespace='dynamodb',
                                    ResourceId='table/fake_table',
                                    PolicyType='TargetTrackingScaling',
                                    PolicyName='ScaleDynamoDBReadCapacityUtilization',

knil-sama

import boto3
autoscaling_client = boto3.client('application-autoscaling')

percent_of_use_to_aim_for = 50.0
scale_out_cooldown_in_seconds = 60
scale_in_cooldown_in_seconds = 60
autoscaling_client.put_scaling_policy(ServiceNamespace='dynamodb',
                                    ResourceId='table/fake_table',
                                    PolicyType='StepScaling',
                                    StepScalingPolicyConfiguration={

knil-sama

import unittest

from tests.test_aggregation_logic import AggregationLogicTestCase
from tests.test_api_mock import TestApi
from tests.test_commons import CommonsTestCase

def listing_test_class(suite: unittest.TestSuite, test_class):
    [suite.addTest(test_class(func)) for func in dir(test_class) if func.startswith("test_")]
    return suite

knil-sama

sudo yum install -y python34 python34-pip httpd-tools
sudo python3 -m pip install pypiserver passlib
# input password manualy for this one
htpasswd -sc htpasswd.txt data-packages-user
mkdir ~/packages
# need to be root, sudo didn't work do sudo su
echo "
description 'A minimal PyPI server for use with pip/easy_install.'
author 'Clement Demonchy'
start on runlevel [2345]

knil-sama

kubectl get pods | awk '$3 == "Unknown" { print $1 }' | xargs kubectl delete pods --grace-period=0 --force