72 lines
1.8 KiB
Python
72 lines
1.8 KiB
Python
import os
|
|
import base64
|
|
import random
|
|
import string
|
|
|
|
from hyper_internal_service import web
|
|
|
|
from .classifier import Classifier
|
|
|
|
__all__ = ['Server']
|
|
|
|
|
|
class Server(object):
|
|
|
|
def __init__(self, port=5602):
|
|
"""
|
|
Public Constructor
|
|
:param port:
|
|
"""
|
|
self.port = port
|
|
self.web_application = web.Application()
|
|
self.web_application.add_routes(
|
|
[web.post('/', self.predict)]
|
|
)
|
|
self.letters = string.ascii_lowercase
|
|
self.classifier = Classifier()
|
|
|
|
def get_tmp(self, ext):
|
|
file_name = ''.join(random.choice(self.letters) for i in range(24)) + "." + ext
|
|
return os.path.join("/tmp", file_name)
|
|
|
|
async def predict(self, request):
|
|
"""
|
|
Handles the predict request "/", usage:
|
|
POST:: "input": str
|
|
:param request:
|
|
:return:
|
|
"""
|
|
post_data = await request.post()
|
|
|
|
tmp_image = self.get_tmp(post_data["type"])
|
|
with open(tmp_image, 'wb') as f:
|
|
f.write(base64.b64decode(post_data["input"]))
|
|
|
|
results = self.classifier.classify(tmp_image)[tmp_image]
|
|
os.remove(tmp_image)
|
|
|
|
response = {
|
|
"status": True,
|
|
"results": {
|
|
"unsafe": str(results['unsafe']),
|
|
"safe": str(results['safe'])
|
|
}
|
|
}
|
|
return web.json_response(response)
|
|
|
|
def start(self):
|
|
"""
|
|
Starts the web application
|
|
:return:
|
|
"""
|
|
web.run_app(app=self.web_application, port=self.port)
|
|
return True
|
|
|
|
def stop(self):
|
|
"""
|
|
Stops the web application
|
|
:return:
|
|
"""
|
|
self.web_application.shutdown()
|
|
self.web_application.cleanup()
|
|
return True |