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

58 lines
1.6 KiB
Python

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']
demo_object = pickle.dumps(demo_object)
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')