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consumer.py
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consumer.py
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from flask import Flask, Response, render_template
from kafka import KafkaConsumer, TopicPartition
# Fire up the Kafka Consumer
topic = "video"
# Set the consumer in a Flask App
app = Flask(__name__)
# route to display stream of one camera
@app.route("/cam/<cam_num>")
def cam(cam_num):
"""
This is the heart of our video display. Notice we set the mimetype to
multipart/x-mixed-replace. This tells Flask to replace any old images with
new values streaming through the pipeline.
"""
consumer = KafkaConsumer(bootstrap_servers=['localhost:9092'])
consumer.assign([TopicPartition(topic=topic,partition=int(cam_num))])
return Response(
get_video_stream(consumer),
mimetype='multipart/x-mixed-replace; boundary=frame')
def get_video_stream(consumer):
"""
Here is where we recieve streamed images from the Kafka Server and convert
them to a Flask-readable format.
"""
for msg in consumer:
yield (b'--frame\r\n'
b'Content-Type: image/jpg\r\n\r\n' + msg.value + b'\r\n\r\n')
# route to display stream of multiple cameras
@app.route("/cameras/<camera_numbers>")
def get_cameras(camera_numbers):
return render_template("videos.html", cam_nums=list(range(int(camera_numbers))))
if __name__ == "__main__":
app.run(host='0.0.0.0',port=3000, debug=True)