# -*- coding: utf-8 -*-

import os

from flask import Flask, request, jsonify

import FaceProcessing

from faces import save_embedding

# Initialize the Flask application

app = Flask(__name__)

# route http posts to this method

BASEDIR = os.getenv('RUNTIME_BASEDIR',os.path.abspath(os.path.dirname(__file__)))

@app.route('/api/embedding', methods=['POST'])

def embedding():

embedding = FaceProcessing.FaceProcessingBase64ImageData2(request.data)

embedding_str = save_embedding.convert_embedding_to_string(embedding)

print(embedding_str)

return jsonify({'embedding':embedding_str}), 200

if __name__ == '__main__':

FaceProcessing.init_embedding_processor()

print("start to warm up")

embedding = FaceProcessing.FaceProcessingImageData2(os.path.join(BASEDIR,"image","Mike_Alden_0001_tmp.png"))

print("warmed up")

print(embedding)

app.run(host="0.0.0.0", port=6000)