Add TensorBoard server to Flask endpoint

I have a Flask App and a Tensorboad server. Is there a way by which I can map the Tensorboard server to one of the endpoints of Flask so that as soon as I hit that endpoint it triggers the Tensorboard server?

Flask application

from flask import Flask, jsonify, request
app = Flask(__name__)

@app.route('/hello-world', methods=['GET', 'POST'])
def say_hello():
    return jsonify({'result': 'Hello world'})

if __name__ == "__main__":
    app.run(host=host, port=5000)

Tensorboard server code:

from tensorboard.program import TensorBoard, setup_environment
def tensorboard_main(host, port, logdir):
    configuration = list([""])
    configuration.extend(["--host", host])
    configuration.extend(["--port", port])
    configuration.extend(["--logdir", logdir])

    tensorboard = TensorBoard()
    tensorboard.configure(configuration)
    tensorboard.main()

if __name__ == "__main__":
    host = "0.0.0.0"
    port = "7070"
    logdir = '/tmp/logdir'
    tensorboard_main(host, port, logdir)

I tried creating an endpoint in Flask app and then added tensorboard_main(host, port, logdir) in the hope that if I hit the endpoint then the server will start but I got no luck.

I had posted this issue on StackOverflow but didn’t get a valid reply hence posting it here.

[wchargin]

Could you post the full code that you’re using? The code that I posted works for me with TensorBoard 2.2.2 and Flask 1.1.2:

[eddieparker]

I also appreciate this starter code, it’s fantastic for what I need. Is there any way to get this to work with flask’s reloader? I tried adding ‘use_reloader=True’ to the run_simple but then it complains about signal handlers being installed outside the main thread. I can’t find anything that indicates that tensorboard has similar reload facilities on file change detection?