Working Distributed-HelloWorld

config.py

@@ -1,9 +1,9 @@
 # Constants (User configurable)
 
-APP_NAME = 'DistributedSomething'       # Used to generate derivative names unique to the application.
+APP_NAME = 'DistributedHelloWorld'       # Used to generate derivative names unique to the application.
 
 # DOCKER REGISTRY INFORMATION:
-DOCKERHUB_TAG = 'user/distributed-something:sometag'
+DOCKERHUB_TAG = 'distributedscience/distributed-helloworld:latest'
 
 # AWS GENERAL SETTINGS:
 AWS_REGION = 'us-east-1'
@@ -13,16 +13,16 @@
 
 # EC2 AND ECS INFORMATION:
 ECS_CLUSTER = 'default'
-CLUSTER_MACHINES = 3
+CLUSTER_MACHINES = 2
 TASKS_PER_MACHINE = 1
-MACHINE_TYPE = ['m4.xlarge']
+MACHINE_TYPE = ['t2.micro']
 MACHINE_PRICE = 0.10
-EBS_VOL_SIZE = 30                       # In GB.  Minimum allowed is 22.
+EBS_VOL_SIZE = 22                       # In GB.  Minimum allowed is 22.
 
 # DOCKER INSTANCE RUNNING ENVIRONMENT:
-DOCKER_CORES = 4                        # Number of software processes to run inside a docker container
+DOCKER_CORES = 1                        # Number of software processes to run inside a docker container
 CPU_SHARES = DOCKER_CORES * 1024        # ECS computing units assigned to each docker container (1024 units = 1 core)
-MEMORY = 15000                          # Memory assigned to the docker container in MB
+MEMORY = 800                            # Memory assigned to the docker container in MB
 SECONDS_TO_START = 3*60                 # Wait before the next process is initiated to avoid memory collisions
 
 # SQS QUEUE INFORMATION:
@@ -40,3 +40,4 @@
 NECESSARY_STRING = ''        # Is there any string that should be in the file name to "count"?
 
 # PUT ANYTHING SPECIFIC TO YOUR PROGRAM DOWN HERE
+MY_NAME = 'FirstName LastName'

files/exampleJob.json

@@ -2,14 +2,11 @@
   "_comment0": "All keys that contain '_comment' will be omitted from the job specification dictionary sent to SQS",
   "_comment1": "The top part should be variables common to all jobs",
   "_comment2": "These could be things like a master input location, run parameters, etc",
-  "input_location": "Somewhere/on/your/bucket",
-  "job_flag_1": "True",
+  "favorite_color": "Blue",
   "_comment3": "The following groups are individual tasks, and each will be run in parallel",
   "groups": [
-    {"job_flag_2": "A", "job_flag_3": "foo"},
-    {"job_flag_2": "A", "job_flag_3": "bar"},
-    {"job_flag_2": "B", "job_flag_3": "foo"},
-    {"job_flag_2": "B", "job_flag_3": "bar"}
+    {"ice_cream": "chocolate", "pizza": "pepperoni"},
+    {"ice_cream": "cookie dough", "pizza": "mushroom"}
   ]
 }
 

run.py

@@ -1,6 +1,7 @@
 from __future__ import print_function
 import os, sys
 import boto3
+import configparser
 import datetime
 import json
 import time
@@ -145,7 +146,11 @@ def generate_task_definition(AWS_PROFILE):
         {
             "name": "NECESSARY_STRING",
             "value": NECESSARY_STRING
-        }
+        },
+        {
+            "name": "MY_NAME",
+            "value": MY_NAME
+        },
     ]
     return task_definition, taskRoleArn
 

worker/Dockerfile

@@ -6,7 +6,7 @@
 #
 
 
-FROM someuser/somedocker:sometag
+FROM ubuntu:18.04
 
 # Install S3FS
 USER root

worker/Makefile

@@ -1,6 +1,6 @@
-user = user
-project = distributed-something
-tag = sometag
+user = distributedscience
+project = distributed-helloworld
+tag = latest
 
 .DEFAULT_GOAL: build
 build:

worker/generic-worker.py

@@ -44,6 +44,7 @@
     DOWNLOAD_FILES = False
 else:
     DOWNLOAD_FILES = os.environ['DOWNLOAD_FILES']
+MY_NAME = os.environ['MY_NAME']
 
 localIn = '/home/ubuntu/local_input'
 
@@ -110,18 +111,19 @@ def runSomething(message):
 
     # Parse your message somehow to pull out a name variable that's going to make sense to you when you want to look at the logs later
     # What's commented out below will work, otherwise, create your own
-    #group_to_run = message["group"]
-    #groupkeys = list(group_to_run.keys())
-    #groupkeys.sort()
-    #metadataID = '-'.join(groupkeys)
+    group_to_run = message["group"]
+    groupkeys = list(group_to_run.keys())
+    groupkeys.sort()
+    metadataID = '-'.join(groupkeys)
 
     # Add a handler with
-    # watchtowerlogger=watchtower.CloudWatchLogHandler(log_group=LOG_GROUP_NAME, stream_name=str(metadataID),create_log_group=False)
-    # logger.addHandler(watchtowerlogger)
+    watchtowerlogger=watchtower.CloudWatchLogHandler(log_group=LOG_GROUP_NAME, stream_name=str(metadataID),create_log_group=False)
+    logger.addHandler(watchtowerlogger)
 
     # See if this is a message you've already handled, if you've so chosen
     # First, build a variable called remoteOut that equals your unique prefix of where your output should be
     # Then check if there are too many files
+    remoteOut = metadataID
 
     if CHECK_IF_DONE_BOOL.upper() == 'TRUE':
         try:
@@ -143,14 +145,25 @@ def runSomething(message):
     # ie cmd = my-program --my-flag-1 True --my-flag-2 VARIABLE
     # you should assign the variable "localOut" to the output location where you expect your program to put files
 
+    localOut = metadataID
+    local_file_name = os.path.join(localOut,'HelloWorld.txt')
+    if not os.path.exists(localOut):
+        os.makedirs(localOut,exist_ok=True)
+
+    cmd = f'printf "Hi, my name is {MY_NAME}, and my favorite {groupkeys[0]} is {group_to_run[groupkeys[0]]}, and my favorite {groupkeys[1]} is {group_to_run[groupkeys[1]]}" > {local_file_name}'
+
     print('Running', cmd)
     logger.info(cmd)
-    subp = subprocess.Popen(cmd.split(), stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
+    #typically, changes to the subprocess command aren't needed at all
+    subp = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
     monitorAndLog(subp,logger)
 
     # Figure out a done condition - a number of files being created, a particular file being created, an exit code, etc.
+
+    done = True
+
     # If done, get the outputs and move them to S3
-    if [ENTER DONE CONDITION HERE]:
+    if done:
         time.sleep(30)
         mvtries=0
         while mvtries <3: