@@ -382,10 +382,12 @@ async def predict(request: PredictRequest):
382382 # experiment_id=create_expriement( cur, conn)
383383
384384 trial = get_trial_by_model_and_input ( model_id , inputs )
385- # print(trial )
385+ print ("-" * 20 , experiment_id , "-" * 20 )
386386 if not experiment_id :
387+ print ("+" * 20 ,"ENTERED IF" ,"+" * 20 )
387388 cur ,conn = get_db_cur_con ()
388389 experiment_id = create_expriement (cur , conn )
390+ print ("+" * 20 ,"ENTERED IF" , experiment_id ,"+" * 20 )
389391
390392
391393 # print(trail)
@@ -401,7 +403,7 @@ async def predict(request: PredictRequest):
401403 new_trial_id = create_trial ( model_id , experiment_id , cur , conn ,source_trial )
402404 # if not experiment_id:
403405 # experiment_id=create_expriement(cur, conn)
404-
406+ print ( "*" * 20 , "RETURNING IF TRIAL" , experiment_id , "*" * 20 )
405407 return {"experimentId" : experiment_id , "trialId" : new_trial_id , "model_id" : model ["name" ], "input_url" : inputs }
406408 else :
407409 cur ,conn = get_db_cur_con ()
@@ -429,6 +431,7 @@ async def predict(request: PredictRequest):
429431 message = makePredictMessage (architecture , batch_size , desired_result_modality , gpu , inputs ,has_multi_input ,context ,config , model ["name" ], trace_level , 0 , "localhost:6831" )
430432
431433 sendPredictMessage (message ,queue_name ,trial_id )
434+ print ("*" * 20 ,"RETURNING ELSE TRIAL" , experiment_id ,"*" * 20 )
432435 return {"experimentId" : experiment_id , "trialId" : trial_id , "model_id" : model ["name" ],"input_url" : inputs }
433436
434437
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