Redeployed Fed Learning

src/participation-hub/federated-learning-microservice/app/main.py

@@ -35,4 +35,4 @@ else:
 
 # start app
 if __name__ == '__main__':
-    app.run(host='0.0.0.0', port=5000, debug=False, ssl_context=context) #<-- IF running locally comment ss_context
+    app.run(host='0.0.0.0', port=5000, debug=False, ssl_context=context) #<-- IF running locally comment ss_context and change port to5000 from 30422

src/participation-hub/federated-learning-microservice/app/requirements.txt

-tensorflow==2.3.0
-tensorflow-federated==0.17.0
-pandas==1.2.4
+#pandas==1.2.4
 astroid==2.4.2
 attrs==19.3.0
 autopep8==1.5.4
@@ -38,7 +36,6 @@ semver==2.10.2
 six==1.15.0
 swagger-ui-bundle==0.0.8
 toml==0.10.1
-typed-ast==1.4.1
 urllib3==1.25.10
 Werkzeug==1.0.1
 wrapt==1.12.1

src/participation-hub/federated-learning-microservice/app/requirementsNew.txt

+connexion==2.7.0
+coverage==5.3.1
+Flask==1.1.2
+importlib-metadata==1.7.0
+jsonschema==3.2.0
+pandas==1.2.4
+prance==0.19.0
+pymongo==3.11.0
+PyYAML==5.3.1
+requests==2.24.0
+swagger-ui-bundle==0.0.8
+urllib3==1.25.10

src/participation-hub/federated-learning-microservice/app/routes/developers.py

@@ -2,7 +2,7 @@ import json
 import os
 from flask import Response, request
 import requests
-import pandas as pd
+#import pandas as pd
 import sys
 import network_constants
 import time

src/participation-hub/federated-learning-microservice/app/routes/owners.py

@@ -4,12 +4,12 @@ import sys
 import shutil
 from flask import Response, request
 import requests
-import pandas as pd
+#import pandas as pd
 import network_constants
 
 def last(use_case: str):    
     #FORWARD TO GPU SERVER WITH IP AND POR
-    url = f'http://{network_constants.FEDERATED_TRAINING_HOSTNAME}:{network_constants.FEDERATED_TRAINING_REST_PORT}/api/Owners/use_case/{use_case}/last_train:'
+    url = f'http://{network_constants.FEDERATED_TRAINING_HOSTNAME}:{network_constants.FEDERATED_TRAINING_REST_PORT}/api/Owners/use_case/{use_case}/last_train'
     response = requests.get(
             url,
             verify = False, 
@@ -24,7 +24,7 @@ def upload_and_train(use_case: str):
     #TODO FORWARD FILES, for some reason  the files are received in this microservice (Federated-LEARNING), but after forwarding they are empty in Federated-TRAINING
     file_dict = request.files
     
-    url = f'http://{network_constants.FEDERATED_TRAINING_HOSTNAME}:{network_constants.FEDERATED_TRAINING_REST_PORT}/api/Owners/use_cases/{use_case}/upload_and_train:'
+    url = f'http://{network_constants.FEDERATED_TRAINING_HOSTNAME}:{network_constants.FEDERATED_TRAINING_REST_PORT}/api/Owners/use_cases/{use_case}/upload_and_train'
     response = requests.post(
             url,
             verify = False, 

src/participation-hub/federated-learning-microservice/app/routes/users.py

@@ -9,9 +9,9 @@ import json
 def check_article(use_case: str,data_entry: str):
 
     #FORWARD TO GPU SERVER WITH IP AND PORT
-    url = f'http://{network_constants.FEDERATED_TRAINING_HOSTNAME}:{network_constants.FEDERATED_TRAINING_REST_PORT}/api/Users/use_case/{use_case}/data_entry/{data_entry}/check_article:'
+    url = f'http://{network_constants.FEDERATED_TRAINING_HOSTNAME}:{network_constants.FEDERATED_TRAINING_REST_PORT}/api/Users/use_case/{use_case}/data_entry/{data_entry}/check_article'
     #url = "google.com"#API ENDPOINT WITH IP AND PORT OF GPU SERVER
-    response = requests.get(
+    response = requests.post(
             url,
             verify = False, 
             proxies = { "http":None, "https":None }