face-recognition-app/face_recognition/app/app.py

from flask import Flask
from minio import Minio
from minio.error import (ResponseError, BucketAlreadyOwnedByYou, BucketAlreadyExists)
import os
import uuid
import pickle
app = Flask(__name__)
minioClient = Minio('minio:9000', access_key=os.environ['s3-name'], secret_key=os.environ['s3-password'], secure=False)
 
@app.route('/')
def hello_docker():
    return 'Hello, I run in a docker container'

@app.route('/acces_minio')
def access_minio():
    for bucket in minioClient.list_buckets():
        print(bucket.name, bucket.creation_date, flush=True)
    return('Connection Succesfull')
  
@app.route('/new_user_id')
def new_user_id():
    id = None
    for limited_try in range(0,5):
        id = str(uuid.uuid4())
        if check_id(id) == False:
            break
    demo_object = ['test']
    minioClient.put_object('users', str(id), demo_object, os.stat('demo_object').st_size)
#funktionalität implementieres s3 Platzhalterdatei anlegen für user,
    return(id)
                
def check_id(id):
    #return True -> id bereits verwendet
    #return False -> id noch nicht verwendet
    users = minioClient.list_objects('users')
    known = False
    for user in users:
        if id == user.object_name.encode('utf-8'):
            known = True
        else:
            pass
    return known
          
def setup():
    try:
        minioClient.make_bucket("users")
    except BucketAlreadyOwnedByYou as err:
        pass
    except BucketAlreadyExists as err:
        pass
    except ResponseError as err:
        raise
  
 
if __name__ == '__main__':
    setup()
    app.run(host='0.0.0.0')