make examples more easy to follow

docs/source/md/quick_start.md

@@ -67,7 +67,8 @@ from paddle_fl.core.scheduler.agent_master import FLScheduler
 
 worker_num = 2
 server_num = 1
-scheduler = FLScheduler(worker_num,server_num)
+# Define the number of worker/server and the port for scheduler
+scheduler = FLScheduler(worker_num,server_num,port=9091)
 scheduler.set_sample_worker_num(worker_num)
 scheduler.init_env()
 print("init env done.")
@@ -94,6 +95,7 @@ trainer_id = int(sys.argv[1]) # trainer id for each guest
 job_path = "fl_job_config"
 job = FLRunTimeJob()
 job.load_trainer_job(job_path, trainer_id)
+job._scheduler_ep = "127.0.0.1:9091" # Inform the scheduler IP to trainer
 trainer = FLTrainerFactory().create_fl_trainer(job)
 trainer.start()
 
@@ -122,6 +124,8 @@ server_id = 0
 job_path = "fl_job_config"
 job = FLRunTimeJob()
 job.load_server_job(job_path, server_id)
+job._scheduler_ep = "127.0.0.1:9091" # IP address for scheduler
 server.set_server_job(job)
+server._current_ep = "127.0.0.1:8181" # IP address for server
 server.start()
 ```

paddle_fl/examples/submitter_demo/conf.txt

@@ -3,6 +3,7 @@ task_name=test_fl_job_submit_jingqinghe
 hdfs_output=/user/feed/mlarch/sequence_generator/dongdaxiang/job_44
 train_cmd=python dist_trainer.py
 #monitor_cmd=python system_monitor_app.py 10 100
+monitor_cmd=
 #train_cmd=python test_hadoop.py
 
 hdfs_path=afs://xingtian.afs.baidu.com:9902

paddle_fl/examples/submitter_demo/scheduler_client.py

@@ -18,7 +18,8 @@ print(random_port)
 current_ip = socket.gethostbyname(socket.gethostname())
 endpoints = "{}:{}".format(current_ip, random_port)
 #start a web server for remote endpoints to download their config 
-os.system("python -m SimpleHTTPServer 8080 &")
+#os.system("python -m SimpleHTTPServer 8080 &")
+os.system("python -m http.server 8080 &")
 if os.path.exists("job_config"):
     os.system("rm -rf job_config")
 if os.path.exists("package"):