Update orchestrator.py

controlplane/orchestrator.py

@@ -16,6 +16,8 @@ import time
 from requests.packages.urllib3.exceptions import InsecureRequestWarning
 requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
 import pymongo
+import asyncio
+
 
 import logging
 
@@ -28,9 +30,10 @@ action_url_mappings = {} #Store action->url mappings
 action_properties_mapping = {} #Stores the action name and its corresponding properties
 responses = []
 queue = []
-dag_responses = []
 list_of_func_ids = [] 
 function_responses = []
+dag_responses = []
+
 
 
 
@@ -51,11 +54,13 @@ def preprocess(filename):
 def execute_thread(action,redis,url,json):
     reply = requests.post(url = url,json=json,verify=False)
     list_of_func_ids.append(reply.json()["activation_id"])
+    logging.info("Function {} completed execution || Function ID : {}".format(action,reply.json()["activation_id"]))
     redis.set(action+"-output",pickle.dumps(reply.json()))
     responses.append(reply.json())
     
 
 def handle_parallel(queue,redis,action_properties_mapping,parallel_action_list):
+    responses.clear() # clear response so that no 
     thread_list = []
     output_list = [] # List to store the output of actions whose outputs are required by downstream operations
     
@@ -83,7 +88,10 @@ def handle_parallel(queue,redis,action_properties_mapping,parallel_action_list):
         thread.start()
     for thread in thread_list:
         thread.join()
+    # results = []
     action_properties_mapping[next_action]["arguments"] = responses
+    # result=responses
+    # responses=[]
     return responses
 
 def create_redis_instance():
@@ -117,25 +125,20 @@ def submit_dag_metadata(dag_metadata):
 
 
 def execute_action(action_name,request):
-    script_file = './actions.sh'
-    subprocess.call(['bash', script_file])
-    preprocess("action_url.txt")
+    # script_file = './actions.sh'
+    # subprocess.call(['bash', script_file])
+    # preprocess("action_url.txt")
     url = action_url_mappings[action_name]
     reply = requests.post(url = url,json = request,verify=False)
     function_responses.append(reply.json())
     
 
 
-    
 def execute_dag(dag_name,request):
     
-    ######### Updates the list of action->url mapping ###################
-    script_file = './actions.sh'
-    subprocess.call(['bash', script_file])
-    #####################################################################
-    preprocess("action_url.txt")
-
 
+    max_retries=3
+    retry_delay=5
     
     list_of_func_ids = []
     
@@ -143,7 +146,7 @@ def execute_dag(dag_name,request):
     redis_instace = create_redis_instance()
     #######################################
 
-    action_properties_mapping = {} #Stores the action name and its corresponding properties
+    action_properties_mapping = {} # Stores the action name and its corresponding properties
     
 
     dag_res = json.loads(json.dumps(get_dag_json(dag_name)))
@@ -164,15 +167,29 @@ def execute_dag(dag_name,request):
             #               HANDLE THE ACTION                        #
             ##########################################################
             if isinstance(action, str):               
-                # if(isinstance(action_properties_mapping[action]['arguments'],list)):
-                #     pass
-                
                 json_data = action_properties_mapping[action]["arguments"]
-                # logging.info("Json request for action {} is {}".format(action,json_data))
                 url = action_url_mappings[action]
                 logging.info("Function {} started execution".format(action))
+                
+                retries = 0
+                while retries < max_retries:
+                    try:
                         reply = requests.post(url = url,json=json_data,verify=False)
-                # print("Reply:",reply)
+                        reply.raise_for_status()  # Raise an exception for HTTP errors (4xx or 5xx)
+                        break  # Successful POST, exit retry loop
+                    except requests.exceptions.RequestException as e:
+                        retries += 1
+                        if retries < max_retries:
+                            logging.warning(f"Function {action} execution attempt {retries} failed. Retrying in {retry_delay} seconds...")
+                            time.sleep(retry_delay)
+                        else:
+                            logging.error(f"Function {action} execution failed after {max_retries} retries.")
+                            raise e  # Raise the exception after max retries
+
+                # reply = requests.post(url = url,json=json_data,verify=False)
+                # while not reply.json():  # Check if reply.json() is empty
+                #     time.sleep(1)
+                    
                 logging.info("Function {} completed execution || Function ID : {}".format(action,reply.json()["activation_id"]))
                 
                 list_of_func_ids.append(reply.json()["activation_id"])
@@ -408,6 +425,7 @@ def execute_dag(dag_name,request):
     
     dag_metadata["function_activation_ids"] = list_of_func_ids  
          
+    
     submit_dag_metadata(dag_metadata)    
 
     redis_instace.flushdb()
@@ -423,5 +441,3 @@ def execute_dag(dag_name,request):
             }
     
     dag_responses.append(res)
-    
-