RAISE Act is just proposed and there are high chances it will be adjusted before even it gets through congress but this is what it says as of today(3rd August 2017).
Integration projects require APIs contract and implementation to carry out integration work. Once contract is defined you need API end point from other project/service to finish your work.
If you dont get it on time, you are kind of stuck, what can you do? Create your own API end point and finish your side of implementation by changing your url end point to something local. That local service should be your mock service which gives you desire results same as like actual APIs.
MockServer is one of such library which can allow you to mock your thirdparty or dependent APIs.
And call : http(s)://yourhost:port/yourapplication/rest/Users/getUserById?userId=xx
You may choose to pass your own authorization in header, use Postman, but you can ignore it also.
If your project is rally based and your team constantly needs reminder to put information for defects they have fixed, you can use this tool.
Tool goes through your rally defects and check each defect against configured set of rules. If it falls under one or more case it will send notification to project team and owner of the defect to fix those issues in Rally.
You can define as many custom rules you want for as many rally defect fields. There is no limitation for rule condition size as well.
For example:
If defect state is fixed made and resolution description is not filled by developer of that work, he will get this in notification as a reminder.
DEFECT_STATE == FixMade AND (RESOLUTION == BLANK OR RESOLUTION_DESCRIPTION == BLANK), Resolution should not be blank when state is fix made
DEFECT_STATE == FixMade AND FIXED_IN_BUILD == BLANK,Found In Build should not be blank when state is fix made
For more you can download opensource tool from below github.
I was in Cloudera Hadoop Developer training recently and there was interesting discussion on how low cost computer like raspberry PI can be used to setup Hadoop cluster for developer testing and proof of concepts. I started digging into that but in parallel i’ve decided to use such low configured CPU to do some robotics projects.
Here is the first project i recently finished with Raspberry PI.
A self-trajectory motor vehicle. It has its own brain(not remote controlled) coded in python language to make all decisions.
It runs on two external power sources, 12V and 5V. 12V to rotate main DC motors while 5V for CPU processing, stepper motor movements and for obstacle sensing(ultrasonic sensor). PI is operating those motors through two L298N circuit board.
Scroll for code below.
import RPi.GPIO as GPIO
import time
GPIO.setmode(GPIO.BCM)
#GPIO.cleanup()
wheel1A=27
wheel1B=10
wheel2A=17
wheel2B=22
eye1A=7
eye1B=8
eyeWA=6
eyeWB=13
eyeWC=19
eyeWD=26
GPIO.setup(wheel1A, GPIO.OUT)
GPIO.setup(wheel1B, GPIO.OUT)
GPIO.setup(wheel2A, GPIO.OUT)
GPIO.setup(wheel2B, GPIO.OUT)
GPIO.setup(eye1A, GPIO.IN)
GPIO.setup(eye1B, GPIO.OUT)
#eyes
GPIO.setup(eyeWA,GPIO.OUT)
GPIO.setup(eyeWB,GPIO.OUT)
GPIO.setup(eyeWC,GPIO.OUT)
GPIO.setup(eyeWD,GPIO.OUT)
def spinRight():
print('SR')
GPIO.output(wheel1A,1)
GPIO.output(wheel1B,1)
GPIO.output(wheel2A,0)
GPIO.output(wheel2B,0)
def spinLeft():
print('SL')
GPIO.output(wheel1A,0)
GPIO.output(wheel1B,0)
GPIO.output(wheel2A,1)
GPIO.output(wheel2B,1)
def goForward():
GPIO.output(wheel1A,1)
GPIO.output(wheel1B,0)
GPIO.output(wheel2A,0)
GPIO.output(wheel2B,1)
def goBackward():
GPIO.output(wheel1A,0)
GPIO.output(wheel1B,1)
GPIO.output(wheel2A,1)
GPIO.output(wheel2B,0)
def stop():
GPIO.output(wheel1A,0)
GPIO.output(wheel1B,0)
GPIO.output(wheel2A,0)
GPIO.output(wheel2B,0)
##stepper_motor_start
delay = 0.015
cSteps=0
def setStep(w1, w2, w3, w4):
GPIO.output(eyeWA, w1)
GPIO.output(eyeWB, w2)
GPIO.output(eyeWC, w3)
GPIO.output(eyeWD, w4)
def rotateLeft(steps,check):
global cSteps
for i in range(0, steps):
print('L'+str(cSteps))
setStep(1,0,1,0)
time.sleep(delay)
setStep(0,1,1,0)
time.sleep(delay)
setStep(0,1,0,1)
time.sleep(delay)
setStep(1,0,0,1)
time.sleep(delay)
cSteps=cSteps-1
if(check==True and checkDistance()!=-99):
return 1
return 0
def rotateRight(steps,check):
global cSteps
for i in range(0, steps):
print('R'+str(cSteps))
setStep(1,0,0,1)
time.sleep(delay)
setStep(0,1,0,1)
time.sleep(delay)
setStep(0,1,1,0)
time.sleep(delay)
setStep(1,0,1,0)
time.sleep(delay)
cSteps=cSteps+1
if(check==True and checkDistance()!=-99):
return 1
return 0
##stepper_motor_end
##eye_start
def checkDistance():
GPIO.output(eye1B,1)
time.sleep(0.00001)
GPIO.output(eye1B,0)
while GPIO.input(eye1A)==0:
pass
start = time.time()
while GPIO.input(eye1A) == 1:
pass
stop=time.time()
distanceCM = (stop - start) * 170 * 100
#print distanceCM
#if distanceCM < 50 and (distanceCM <5 or distanceCM > 8):
if distanceCM < 50:
return -99
arrow = 'F'
findPath ='F'
skip='F'
maxRotate=6 #must be even number
while(1==1):
#print(arrow)
if(arrow=='SL'):
spinLeft()
if(arrow=='SR'):
spinRight()
if(arrow=='B'):
goBackward()
if(arrow=='F'):
goForward()
if(arrow=='X'):
stop()
if(findPath=='T'):
skip='T'
cSteps=0
found=rotateLeft(maxRotate, True)
if(found==0):
print('No left')
found=rotateRight((maxRotate*2) + 1, True)
if(found==1):
rotateLeft(cSteps, False) #return eye to the front
spinRight()
else:
print('Found something in left')
if(cSteps<0):
cSteps = cSteps * -1
rotateRight(cSteps, False) #return eye to the front
spinLeft()
print('done........')
arrow='F'
findPath=''
setStep(0,0,0,0)
time.sleep(0.1)
time.sleep(0.5)
else:
time.sleep(0.125)
#arrow=raw_input("")
if skip=='F' and checkDistance()==-99:
arrow='X'
findPath='T'
else:
skip='F'
#if distanceCM > 200:
# arrow='F'
When you connect your magicjack with your router, you may face this problem where it says connection 42 error when you try to make a call.
You need to setup port forwarding for your magicjack with your router so that connection can be established outside.
What details do you need?
– External Static IP
– MAC address of magicjack device
– Router configuration access(credentials)
Please note this is vary depends on your router. I use Motorola.
1> Assign your magicjack with unique IP within your home/business network. You can do that with your DHCP router configuration. In my case it like below.
Mack
2> Once your magicjack is assigned with unique internal static IP, you will require to setup port forwarding with your outside static IP as given below for two ports 5060 and 5070.
Two years back, i was preparing some MapReduce code to satisfy my curiosity towards algorithm and big data technologies like Apache Hadoop.
I knew this is something really required. At that time, trend for big data technologies was picking up and we started hearing about more on it. I was reading some article and facts that 90% of world total data was added in last two years, i am sure by this time it is more towards mid or late 90s.
Here is the trend of last few years of big data technologies and RDBMS. Of course, i can not compare it with Oracle or MS databases but trend is spiked up and it will continue like this.
Good time to invest in those technologies for developer like us.
