# import the necessary packages
import numpy as np
import imutils
from collections import deque
from threading import Thread
from queue import Queue
import boto3
import time
import cv2
import os


class SingleMotionDetector:
	def __init__(self, accumWeight=0.5):
		# store the accumulated weight factor
		self.accumWeight = accumWeight

		# initialize the background model
		self.bg = None

	def update(self, image):
		# if the background model is None, initialize it
		if self.bg is None:
			self.bg = image.copy().astype("float")
			return

		# update the background model by accumulating the weighted
		# average
		cv2.accumulateWeighted(image, self.bg, self.accumWeight)

	def detect(self, image, tVal=25):
		# compute the absolute difference between the background model
		# and the image passed in, then threshold the delta image
		delta = cv2.absdiff(self.bg.astype("uint8"), image)
		thresh = cv2.threshold(delta, tVal, 255, cv2.THRESH_BINARY)[1]

		# perform a series of erosions and dilations to remove small
		# blobs
		thresh = cv2.erode(thresh, None, iterations=2)
		thresh = cv2.dilate(thresh, None, iterations=2)

		# find contours in the thresholded image and initialize the
		# minimum and maximum bounding box regions for motion
		cnts = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL,
			cv2.CHAIN_APPROX_SIMPLE)
		cnts = imutils.grab_contours(cnts)
		(minX, minY) = (np.inf, np.inf)
		(maxX, maxY) = (-np.inf, -np.inf)

		# if no contours were found, return None
		if len(cnts) == 0:
			return None

		# otherwise, loop over the contours
		for c in cnts:
			# compute the bounding box of the contour and use it to
			# update the minimum and maximum bounding box regions
			(x, y, w, h) = cv2.boundingRect(c)
			(minX, minY) = (min(minX, x), min(minY, y))
			(maxX, maxY) = (max(maxX, x + w), max(maxY, y + h))

		# otherwise, return a tuple of the thresholded image along
		# with bounding box
		return (thresh, (minX, minY, maxX, maxY))


class KeyClipWriter:
	def __init__(self, bufSize=64, timeout=0.5):
		# store the maximum buffer size of frames to be kept
		# in memory along with the sleep timeout during threading
		self.bufSize = bufSize
		self.timeout = timeout

		# initialize the buffer of frames, queue of frames that
		# need to be written to file, video writer, writer thread,
		# and boolean indicating whether recording has started or not
		self.frames = deque(maxlen=bufSize)
		self.Q = None
		self.writer = None
		self.thread = None
		self.recording = False

	def update(self, frame):
		# update the frames buffer
		self.frames.appendleft(frame)

		# if we are recording, update the queue as well
		if self.recording:
			self.Q.put(frame)

	def start(self, outputPath, fourcc, fps):
		# indicate that we are recording, start the video writer,
		# and initialize the queue of frames that need to be written
		# to the video file
		self.recording = True
		self.writer = cv2.VideoWriter(outputPath, fourcc, fps,
			(self.frames[0].shape[1], self.frames[0].shape[0]), True)
		self.Q = Queue()

		# loop over the frames in the deque structure and add them
		# to the queue
		for i in range(len(self.frames), 0, -1):
			self.Q.put(self.frames[i - 1])

		# start a thread write frames to the video file
		self.thread = Thread(target=self.write, args=())
		self.thread.daemon = True
		self.thread.start()

	def write(self):
		# keep looping
		while True:
			# if we are done recording, exit the thread
			if not self.recording:
				return

			# check to see if there are entries in the queue
			if not self.Q.empty():
				# grab the next frame in the queue and write it
				# to the video file
				frame = self.Q.get()
				self.writer.write(frame)

			# otherwise, the queue is empty, so sleep for a bit
			# so we don't waste CPU cycles
			else:
				time.sleep(self.timeout)

	def flush(self):
		# empty the queue by flushing all remaining frames to file
		while not self.Q.empty():
			frame = self.Q.get()
			self.writer.write(frame)

	def finish(self):
		# indicate that we are done recording, join the thread,
		# flush all remaining frames in the queue to file, and
		# release the writer pointer
		self.recording = False
		self.thread.join()
		self.flush()
		self.writer.release()


class Uploader:
	def __init__(self, conf):
		self.conf = conf

	
	def send(self, videofile):
		t = Thread(target=self._send, args=(videofile,))
		t.start()
		print("Up started")
	
	
	def _send(self, videofile): #to edit: videofile should have complete path
		
		s3 = boto3.client("s3",
			aws_access_key_id=self.conf["aws_access_key_id"],
			aws_secret_access_key=self.conf["aws_secret_access_key"],
			)

		filename = os.path.basename(videofile)
		s3.upload_file(videofile, self.conf["s3_bucket"], filename)

		location = s3.get_bucket_location(
			Bucket=self.conf["s3_bucket"])["LocationConstraint"]

		
		url = "https://s3-{}.amazonaws.com/{}/{}".format(location,
			self.conf["s3_bucket"], filename)
		print(url)

		#delete the file from local 
		os.remove(videofile)
		print("Uploaded file successfully to S3 and removed from local")		




5dc71b87a27473cc686f7b46044117790e83ca6c
<mask token>


class KeyClipWriter:
    <mask token>
    <mask token>
    <mask token>
    <mask token>
    <mask token>
    <mask token>


class Uploader:

    def __init__(self, conf):
        self.conf = conf

    def send(self, videofile):
        t = Thread(target=self._send, args=(videofile,))
        t.start()
        print('Up started')

    def _send(self, videofile):
        s3 = boto3.client('s3', aws_access_key_id=self.conf[
            'aws_access_key_id'], aws_secret_access_key=self.conf[
            'aws_secret_access_key'])
        filename = os.path.basename(videofile)
        s3.upload_file(videofile, self.conf['s3_bucket'], filename)
        location = s3.get_bucket_location(Bucket=self.conf['s3_bucket'])[
            'LocationConstraint']
        url = 'https://s3-{}.amazonaws.com/{}/{}'.format(location, self.
            conf['s3_bucket'], filename)
        print(url)
        os.remove(videofile)
        print('Uploaded file successfully to S3 and removed from local')

<mask token>


class KeyClipWriter:

    def __init__(self, bufSize=64, timeout=0.5):
        self.bufSize = bufSize
        self.timeout = timeout
        self.frames = deque(maxlen=bufSize)
        self.Q = None
        self.writer = None
        self.thread = None
        self.recording = False

    def update(self, frame):
        self.frames.appendleft(frame)
        if self.recording:
            self.Q.put(frame)
    <mask token>

    def write(self):
        while True:
            if not self.recording:
                return
            if not self.Q.empty():
                frame = self.Q.get()
                self.writer.write(frame)
            else:
                time.sleep(self.timeout)

    def flush(self):
        while not self.Q.empty():
            frame = self.Q.get()
            self.writer.write(frame)

    def finish(self):
        self.recording = False
        self.thread.join()
        self.flush()
        self.writer.release()


class Uploader:

    def __init__(self, conf):
        self.conf = conf

    def send(self, videofile):
        t = Thread(target=self._send, args=(videofile,))
        t.start()
        print('Up started')

    def _send(self, videofile):
        s3 = boto3.client('s3', aws_access_key_id=self.conf[
            'aws_access_key_id'], aws_secret_access_key=self.conf[
            'aws_secret_access_key'])
        filename = os.path.basename(videofile)
        s3.upload_file(videofile, self.conf['s3_bucket'], filename)
        location = s3.get_bucket_location(Bucket=self.conf['s3_bucket'])[
            'LocationConstraint']
        url = 'https://s3-{}.amazonaws.com/{}/{}'.format(location, self.
            conf['s3_bucket'], filename)
        print(url)
        os.remove(videofile)
        print('Uploaded file successfully to S3 and removed from local')

<mask token>


class KeyClipWriter:

    def __init__(self, bufSize=64, timeout=0.5):
        self.bufSize = bufSize
        self.timeout = timeout
        self.frames = deque(maxlen=bufSize)
        self.Q = None
        self.writer = None
        self.thread = None
        self.recording = False

    def update(self, frame):
        self.frames.appendleft(frame)
        if self.recording:
            self.Q.put(frame)

    def start(self, outputPath, fourcc, fps):
        self.recording = True
        self.writer = cv2.VideoWriter(outputPath, fourcc, fps, (self.frames
            [0].shape[1], self.frames[0].shape[0]), True)
        self.Q = Queue()
        for i in range(len(self.frames), 0, -1):
            self.Q.put(self.frames[i - 1])
        self.thread = Thread(target=self.write, args=())
        self.thread.daemon = True
        self.thread.start()

    def write(self):
        while True:
            if not self.recording:
                return
            if not self.Q.empty():
                frame = self.Q.get()
                self.writer.write(frame)
            else:
                time.sleep(self.timeout)

    def flush(self):
        while not self.Q.empty():
            frame = self.Q.get()
            self.writer.write(frame)

    def finish(self):
        self.recording = False
        self.thread.join()
        self.flush()
        self.writer.release()


class Uploader:

    def __init__(self, conf):
        self.conf = conf

    def send(self, videofile):
        t = Thread(target=self._send, args=(videofile,))
        t.start()
        print('Up started')

    def _send(self, videofile):
        s3 = boto3.client('s3', aws_access_key_id=self.conf[
            'aws_access_key_id'], aws_secret_access_key=self.conf[
            'aws_secret_access_key'])
        filename = os.path.basename(videofile)
        s3.upload_file(videofile, self.conf['s3_bucket'], filename)
        location = s3.get_bucket_location(Bucket=self.conf['s3_bucket'])[
            'LocationConstraint']
        url = 'https://s3-{}.amazonaws.com/{}/{}'.format(location, self.
            conf['s3_bucket'], filename)
        print(url)
        os.remove(videofile)
        print('Uploaded file successfully to S3 and removed from local')

<mask token>


class SingleMotionDetector:

    def __init__(self, accumWeight=0.5):
        self.accumWeight = accumWeight
        self.bg = None

    def update(self, image):
        if self.bg is None:
            self.bg = image.copy().astype('float')
            return
        cv2.accumulateWeighted(image, self.bg, self.accumWeight)
    <mask token>


class KeyClipWriter:

    def __init__(self, bufSize=64, timeout=0.5):
        self.bufSize = bufSize
        self.timeout = timeout
        self.frames = deque(maxlen=bufSize)
        self.Q = None
        self.writer = None
        self.thread = None
        self.recording = False

    def update(self, frame):
        self.frames.appendleft(frame)
        if self.recording:
            self.Q.put(frame)

    def start(self, outputPath, fourcc, fps):
        self.recording = True
        self.writer = cv2.VideoWriter(outputPath, fourcc, fps, (self.frames
            [0].shape[1], self.frames[0].shape[0]), True)
        self.Q = Queue()
        for i in range(len(self.frames), 0, -1):
            self.Q.put(self.frames[i - 1])
        self.thread = Thread(target=self.write, args=())
        self.thread.daemon = True
        self.thread.start()

    def write(self):
        while True:
            if not self.recording:
                return
            if not self.Q.empty():
                frame = self.Q.get()
                self.writer.write(frame)
            else:
                time.sleep(self.timeout)

    def flush(self):
        while not self.Q.empty():
            frame = self.Q.get()
            self.writer.write(frame)

    def finish(self):
        self.recording = False
        self.thread.join()
        self.flush()
        self.writer.release()


class Uploader:

    def __init__(self, conf):
        self.conf = conf

    def send(self, videofile):
        t = Thread(target=self._send, args=(videofile,))
        t.start()
        print('Up started')

    def _send(self, videofile):
        s3 = boto3.client('s3', aws_access_key_id=self.conf[
            'aws_access_key_id'], aws_secret_access_key=self.conf[
            'aws_secret_access_key'])
        filename = os.path.basename(videofile)
        s3.upload_file(videofile, self.conf['s3_bucket'], filename)
        location = s3.get_bucket_location(Bucket=self.conf['s3_bucket'])[
            'LocationConstraint']
        url = 'https://s3-{}.amazonaws.com/{}/{}'.format(location, self.
            conf['s3_bucket'], filename)
        print(url)
        os.remove(videofile)
        print('Uploaded file successfully to S3 and removed from local')

# import the necessary packages
import numpy as np
import imutils
from collections import deque
from threading import Thread
from queue import Queue
import boto3
import time
import cv2
import os


class SingleMotionDetector:
	def __init__(self, accumWeight=0.5):
		# store the accumulated weight factor
		self.accumWeight = accumWeight

		# initialize the background model
		self.bg = None

	def update(self, image):
		# if the background model is None, initialize it
		if self.bg is None:
			self.bg = image.copy().astype("float")
			return

		# update the background model by accumulating the weighted
		# average
		cv2.accumulateWeighted(image, self.bg, self.accumWeight)

	def detect(self, image, tVal=25):
		# compute the absolute difference between the background model
		# and the image passed in, then threshold the delta image
		delta = cv2.absdiff(self.bg.astype("uint8"), image)
		thresh = cv2.threshold(delta, tVal, 255, cv2.THRESH_BINARY)[1]

		# perform a series of erosions and dilations to remove small
		# blobs
		thresh = cv2.erode(thresh, None, iterations=2)
		thresh = cv2.dilate(thresh, None, iterations=2)

		# find contours in the thresholded image and initialize the
		# minimum and maximum bounding box regions for motion
		cnts = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL,
			cv2.CHAIN_APPROX_SIMPLE)
		cnts = imutils.grab_contours(cnts)
		(minX, minY) = (np.inf, np.inf)
		(maxX, maxY) = (-np.inf, -np.inf)

		# if no contours were found, return None
		if len(cnts) == 0:
			return None

		# otherwise, loop over the contours
		for c in cnts:
			# compute the bounding box of the contour and use it to
			# update the minimum and maximum bounding box regions
			(x, y, w, h) = cv2.boundingRect(c)
			(minX, minY) = (min(minX, x), min(minY, y))
			(maxX, maxY) = (max(maxX, x + w), max(maxY, y + h))

		# otherwise, return a tuple of the thresholded image along
		# with bounding box
		return (thresh, (minX, minY, maxX, maxY))


class KeyClipWriter:
	def __init__(self, bufSize=64, timeout=0.5):
		# store the maximum buffer size of frames to be kept
		# in memory along with the sleep timeout during threading
		self.bufSize = bufSize
		self.timeout = timeout

		# initialize the buffer of frames, queue of frames that
		# need to be written to file, video writer, writer thread,
		# and boolean indicating whether recording has started or not
		self.frames = deque(maxlen=bufSize)
		self.Q = None
		self.writer = None
		self.thread = None
		self.recording = False

	def update(self, frame):
		# update the frames buffer
		self.frames.appendleft(frame)

		# if we are recording, update the queue as well
		if self.recording:
			self.Q.put(frame)

	def start(self, outputPath, fourcc, fps):
		# indicate that we are recording, start the video writer,
		# and initialize the queue of frames that need to be written
		# to the video file
		self.recording = True
		self.writer = cv2.VideoWriter(outputPath, fourcc, fps,
			(self.frames[0].shape[1], self.frames[0].shape[0]), True)
		self.Q = Queue()

		# loop over the frames in the deque structure and add them
		# to the queue
		for i in range(len(self.frames), 0, -1):
			self.Q.put(self.frames[i - 1])

		# start a thread write frames to the video file
		self.thread = Thread(target=self.write, args=())
		self.thread.daemon = True
		self.thread.start()

	def write(self):
		# keep looping
		while True:
			# if we are done recording, exit the thread
			if not self.recording:
				return

			# check to see if there are entries in the queue
			if not self.Q.empty():
				# grab the next frame in the queue and write it
				# to the video file
				frame = self.Q.get()
				self.writer.write(frame)

			# otherwise, the queue is empty, so sleep for a bit
			# so we don't waste CPU cycles
			else:
				time.sleep(self.timeout)

	def flush(self):
		# empty the queue by flushing all remaining frames to file
		while not self.Q.empty():
			frame = self.Q.get()
			self.writer.write(frame)

	def finish(self):
		# indicate that we are done recording, join the thread,
		# flush all remaining frames in the queue to file, and
		# release the writer pointer
		self.recording = False
		self.thread.join()
		self.flush()
		self.writer.release()


class Uploader:
	def __init__(self, conf):
		self.conf = conf

	
	def send(self, videofile):
		t = Thread(target=self._send, args=(videofile,))
		t.start()
		print("Up started")
	
	
	def _send(self, videofile): #to edit: videofile should have complete path
		
		s3 = boto3.client("s3",
			aws_access_key_id=self.conf["aws_access_key_id"],
			aws_secret_access_key=self.conf["aws_secret_access_key"],
			)

		filename = os.path.basename(videofile)
		s3.upload_file(videofile, self.conf["s3_bucket"], filename)

		location = s3.get_bucket_location(
			Bucket=self.conf["s3_bucket"])["LocationConstraint"]

		
		url = "https://s3-{}.amazonaws.com/{}/{}".format(location,
			self.conf["s3_bucket"], filename)
		print(url)

		#delete the file from local 
		os.remove(videofile)
		print("Uploaded file successfully to S3 and removed from local")		



