Commit @54e15d6dcc3519ebff6227760b07a9074a0d9dc3

윤영준 2023-10-31

CORS

@54e15d6dcc3519ebff6227760b07a9074a0d9dc3

5165170

54e15d6

action.py

--- action.py

+++ action.py


 from database.database import DB
 import torch
 from torchvision.transforms import ToTensor
-from datetime import datetime
 from model.AttentiveRNN import AttentiveRNN
 from model.Classifier import Resnet as Classifier
 from subfuction.image_crop import crop_image

     description="노드 분석을 위해 사용하는 api.",
 )
 
-
-# @Action.route('/image_summit')
-# class fileUpload(Resource):
-#     @Action.doc(responses={200: 'Success'})
-#     @Action.doc(responses={500: 'Register Failed'})
-#     def post(self):
-#         if request.method == 'POST':
-#             f = request.files['file']
-#             f.save(secure_filename(f.filename))
-#             return {
-#                 'save': 'done'  # str으로 반환하여 return
-#             }, 200
-
-
 @Action.route('/image_anal')
 class fileUpload(Resource):
     @Action.doc(responses={200: 'Success'})

 
         lat = float(data['gps_x'])
         lon = float(data['gps_y'])
-        filename = data['filename']
-        file_type = data['file_type']
+        # filename = data['filename']
+        # file_type = data['file_type']
 
         uploaded_file = request.files.get('file')
         file_bytes = np.asarray(bytearray(uploaded_file.read()), dtype=np.uint8)

5165170

54e15d6

app.py

--- app.py

+++ app.py


 from flask_restx import Api
 from auth import Auth
 from action import Action
+from flask_cors import CORS
 
 app = flask.Flask(__name__)
+CORS(app)
 
 api = Api(    app,
     version='0.1',
     title="RDS",
     description="API Server",
-    terms_url="/",
-    contact="[email protected]",
     license="MIT")
 
 api.add_namespace(Auth, '/auth')

 api.add_namespace(Action, '/action')
 
 if __name__ == "__main__":
-    app.run(debug=True, host='0.0.0.0', port=8080)
+    app.run(debug=False, host='0.0.0.0', port=8000)
     print("Flask Start")

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...	...	@@ -5,7 +5,6 @@
5	5	from database.database import DB
6	6	import torch
7	7	from torchvision.transforms import ToTensor
8		-from datetime import datetime
9	8	from model.AttentiveRNN import AttentiveRNN
10	9	from model.Classifier import Resnet as Classifier
11	10	from subfuction.image_crop import crop_image
...	...	@@ -36,20 +35,6 @@
36	35	description="노드 분석을 위해 사용하는 api.",
37	36	)
38	37
39		-
40		-# @Action.route('/image_summit')
41		-# class fileUpload(Resource):
42		-# @Action.doc(responses={200: 'Success'})
43		-# @Action.doc(responses={500: 'Register Failed'})
44		-# def post(self):
45		-# if request.method == 'POST':
46		-# f = request.files['file']
47		-# f.save(secure_filename(f.filename))
48		-# return {
49		-# 'save': 'done' # str으로 반환하여 return
50		-# }, 200
51		-
52		-
53	38	@Action.route('/image_anal')
54	39	class fileUpload(Resource):
55	40	@Action.doc(responses={200: 'Success'})
...	...	@@ -68,8 +53,8 @@
68	53
69	54	lat = float(data['gps_x'])
70	55	lon = float(data['gps_y'])
71		- filename = data['filename']
72		- file_type = data['file_type']
	56	+ # filename = data['filename']
	57	+ # file_type = data['file_type']
73	58
74	59	uploaded_file = request.files.get('file')
75	60	file_bytes = np.asarray(bytearray(uploaded_file.read()), dtype=np.uint8)

...	...	@@ -2,15 +2,15 @@
2	2	from flask_restx import Api
3	3	from auth import Auth
4	4	from action import Action
	5	+from flask_cors import CORS
5	6
6	7	app = flask.Flask(__name__)
	8	+CORS(app)
7	9
8	10	api = Api( app,
9	11	version='0.1',
10	12	title="RDS",
11	13	description="API Server",
12		- terms_url="/",
13		- contact="[email protected]",
14	14	license="MIT")
15	15
16	16	api.add_namespace(Auth, '/auth')
...	...	@@ -18,5 +18,5 @@
18	18	api.add_namespace(Action, '/action')
19	19
20	20	if __name__ == "__main__":
21		- app.run(debug=True, host='0.0.0.0', port=8080)
	21	+ app.run(debug=False, host='0.0.0.0', port=8000)
22	22	print("Flask Start") (No newline at end of file)

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