diff --git a/.circleci/README.md b/.circleci/README.md
deleted file mode 100644
index d37c13a27..000000000
--- a/.circleci/README.md
+++ /dev/null
@@ -1,79 +0,0 @@
-# Multi Model Server CircleCI build
-Model Server uses CircleCI for builds. This folder contains the config and scripts that are needed for CircleCI.
-
-## config.yml
-_config.yml_ contains MMS build logic which will be used by CircleCI.
-
-## Workflows and Jobs
-Currently, following _workflows_ are available -
-1. smoke
-2. nightly
-3. weekly
-
-Following _jobs_ are executed under each workflow -
-1. **build** : Builds _frontend/model-server.jar_ and executes tests from gradle
-2. **modelarchiver** : Builds and tests modelarchiver module
-3. **python-tests** : Executes pytests from _mms/tests/unit_tests/_
-4. **benchmark** : Executes latency benchmark using resnet-18 model
-5. (NEW!) **api-tests** : Executes newman test suite for API testing
-
-Following _executors_ are available for job execution -
-1. py27
-2. py36
-
-> Please check the _workflows_, _jobs_ and _executors_ section in _config.yml_ for an up to date list
-
-## scripts
-Instead of using inline commands inside _config.yml_, job steps are configured as shell scripts.  
-This is easier for maintenance and reduces chances of error in config.yml
-
-## images
-MMS uses customized docker image for its CircleCI build.  
-To make sure MMS is compatible with both Python2 and Python3, we use two build projects.  
-We have published two docker images on docker hub for code build
-* prashantsail/mms-build:python2.7
-* prashantsail/mms-build:python3.6
-
-Following files in the _images_ folder are used to create the docker images
-* Dockerfile.python2.7 - Dockerfile for prashantsail/mms-build:python2.7
-* Dockerfile.python3.6 - Dockerfile for prashantsail/mms-build:python3.6
-
-## Local CircleCI cli
-To make it easy for developers to debug build issues locally, MMS supports CircleCI cli for running a job in a container on your machine.
-
-#### Dependencies
-1. CircleCI cli ([Quick Install](https://circleci.com/docs/2.0/local-cli/#quick-installation))
-2. PyYAML (pip install PyYaml)
-3. docker (installed and running)
-
-#### Command
-Developers can use the following command to build MMS locally:  
-**./run_circleci_tests.py <workflow_name> -j <job_name> -e <executor_name>**
-
-- _workflow_name_  
-This is a madatory parameter
-
-- _-j, --job job_name_  
-If specified, executes only the specified job name (along with the required parents).  
-If not specified, all jobs in the workflow are executed sequentially.  
-
-- _-e, --executor executor_name_  
-If specified, job is executed only on the specified executor(docker image).  
-If not specified, job is executed on all the available executors.  
-
-```bash
-$ cd multi-model-server
-$ ./run_circleci_tests.py smoke
-$ ./run_circleci_tests.py smoke -j modelarchiver
-$ ./run_circleci_tests.py smoke -e py36
-$ ./run_circleci_tests.py smoke -j modelarchiver -e py36
-```
-
-###### Checklist
-> 1. Make sure docker is running before you start local execution.  
-> 2. Docker containers to have **at least 4GB RAM, 2 CPU**.  
-> 3. If you are on a network with low bandwidth, we advise you to explicitly pull the docker images -  
-> docker pull prashantsail/mms-build:python2.7  
-> docker pull prashantsail/mms-build:python3.6  
-
-`To avoid Pull Request build failures on github, developers should always make sure that their local builds pass.`
diff --git a/.circleci/config.yml b/.circleci/config.yml
deleted file mode 100644
index c8022a037..000000000
--- a/.circleci/config.yml
+++ /dev/null
@@ -1,189 +0,0 @@
-version: 2.1
-
-
-executors:
-  py36:
-    docker:
-      - image: prashantsail/mms-build:python3.6
-    environment:
-      _JAVA_OPTIONS: "-Xmx2048m"
-
-  py27:
-    docker:
-      - image: prashantsail/mms-build:python2.7
-    environment:
-      _JAVA_OPTIONS: "-Xmx2048m"
-
-
-commands:
-  attach-mms-workspace:
-    description: "Attach the MMS directory which was saved into workspace"
-    steps:
-      - attach_workspace:
-          at: .
-
-  install-mms-server:
-    description: "Install MMS server from a wheel"
-    steps:
-      - run:
-          name: Install MMS
-          command: pip install dist/*.whl
-
-  exeucute-api-tests:
-    description: "Execute API tests from a collection"
-    parameters:
-      collection:
-        type: enum
-        enum: [management, inference, https]
-        default: management
-    steps:
-      - run:
-          name: Start MMS, Execute << parameters.collection >> API Tests, Stop MMS
-          command: .circleci/scripts/linux_test_api.sh << parameters.collection >>
-      - store_artifacts:
-          name: Store server logs from << parameters.collection >> API tests
-          path: mms_<< parameters.collection >>.log
-      - store_artifacts:
-          name: Store << parameters.collection >> API test results
-          path: test/<< parameters.collection >>-api-report.html
-
-
-jobs:
-    build:
-      parameters:
-        executor:
-          type: executor
-      executor: << parameters.executor >>
-      steps:
-        - checkout
-        - run:
-            name: Build frontend
-            command: .circleci/scripts/linux_build.sh
-        - store_artifacts:
-            name: Store gradle testng results
-            path: frontend/server/build/reports/tests/test
-        - persist_to_workspace:
-            root: .
-            paths:
-              - .
-
-    python-tests:
-      parameters:
-        executor:
-          type: executor
-      executor: << parameters.executor >>
-      steps:
-        - attach-mms-workspace
-        - run:
-            name: Execute python unit tests
-            command: .circleci/scripts/linux_test_python.sh
-        - store_artifacts:
-            name: Store python Test results
-            path: htmlcov
-
-    api-tests:
-      parameters:
-        executor:
-          type: executor
-      executor: << parameters.executor >>
-      steps:
-        - attach-mms-workspace
-        - install-mms-server
-        - exeucute-api-tests:
-            collection: management
-        - exeucute-api-tests:
-            collection: inference
-        - exeucute-api-tests:
-            collection: https
-
-    benchmark:
-      parameters:
-        executor:
-          type: executor
-      executor: << parameters.executor >>
-      steps:
-        - attach-mms-workspace
-        - install-mms-server
-        - run:
-            name: Start MMS, Execute benchmark tests, Stop MMS
-            command: .circleci/scripts/linux_test_benchmark.sh
-        - store_artifacts:
-            name: Store server logs from benchmark tests
-            path: mms.log
-        - store_artifacts:
-            name: Store Benchmark Latency resnet-18 results
-            path: /tmp/MMSBenchmark/out/latency/resnet-18/report/
-            destination: benchmark-latency-resnet-18
-
-    modelarchiver:
-      parameters:
-        executor:
-          type: executor
-      executor: << parameters.executor >>
-      steps:
-        - checkout
-        - run:
-            name: Execute lint, unit and integration tests
-            command: .circleci/scripts/linux_test_modelarchiver.sh
-        - store_artifacts:
-            name: Store unit tests results from model archiver tests
-            path: model-archiver/results_units
-            destination: units
-
-
-workflows:
-  version: 2
-
-  smoke:
-    jobs:
-      - &build
-        build:
-          name: build-<< matrix.executor >>
-          matrix: &matrix
-            parameters:
-              executor: ["py27", "py36"]
-      - &modelarchiver
-        modelarchiver:
-          name: modelarchiver-<< matrix.executor >>
-          matrix: *matrix
-      - &python-tests
-        python-tests:
-          name: python-tests-<< matrix.executor >>
-          requires:
-            - build-<< matrix.executor >>
-          matrix: *matrix
-
-  nightly:
-    triggers:
-      - schedule:
-          cron: "0 0 * * *"
-          filters:
-            branches:
-              only:
-                - master
-    jobs:
-      - *build
-      - *modelarchiver
-      - *python-tests
-      - &api-tests
-        api-tests:
-          name: api-tests-<< matrix.executor >>
-          requires:
-            - build-<< matrix.executor >>
-          matrix: *matrix
-
-  weekly:
-    triggers:
-      - schedule:
-          cron: "0 0 * * 0"
-          filters:
-            branches:
-              only:
-                - master
-    jobs:
-      - *build
-      - benchmark:
-          name: benchmark-<< matrix.executor >>
-          requires:
-            - build-<< matrix.executor >>
-          matrix: *matrix
diff --git a/.circleci/images/Dockerfile.python2.7 b/.circleci/images/Dockerfile.python2.7
deleted file mode 100644
index a7bf0d2cd..000000000
--- a/.circleci/images/Dockerfile.python2.7
+++ /dev/null
@@ -1,61 +0,0 @@
-# Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
-# Licensed under the Apache License, Version 2.0 (the "License").
-# You may not use this file except in compliance with the License.
-# A copy of the License is located at
-#     http://www.apache.org/licenses/LICENSE-2.0
-# or in the "license" file accompanying this file. This file is distributed
-# on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either
-# express or implied. See the License for the specific language governing
-# permissions and limitations under the License.
-#
-
-FROM awsdeeplearningteam/mms-build:python2.7@sha256:2b743d6724dead806873cce1330f7b8a0197399a35af47dfd7035251fdade122
-
-# 2020 - Updated Build and Test dependencies
-
-# Python packages for MMS Server
-RUN pip install psutil \
-    && pip install future \
-    && pip install Pillow \
-    && pip install wheel \
-    && pip install twine \
-    && pip install requests \
-    && pip install mock \
-    && pip install numpy \
-    && pip install Image \
-    && pip install mxnet==1.5.0 \
-    && pip install enum34
-
-# Python packages for pytests
-RUN pip install pytest==4.0.0 \
-    && pip install pytest-cov \
-    && pip install pytest-mock
-
-# Python packages for benchmark
-RUN pip install pandas
-
-# Install NodeJS and packages for API tests
-RUN curl -sL https://deb.nodesource.com/setup_14.x | sudo -E bash - \
-    && sudo apt-get install -y nodejs \
-    && sudo npm install -g newman newman-reporter-html
-
-# Install jmeter for benchmark
-# ToDo: Remove --no-check-certificate; temporarily added to bypass jmeter-plugins.org's expired certificate
-RUN cd /opt \
-    && wget https://archive.apache.org/dist/jmeter/binaries/apache-jmeter-5.3.tgz \
-    && tar -xzf apache-jmeter-5.3.tgz \
-    && cd apache-jmeter-5.3 \
-    && ln -s /opt/apache-jmeter-5.3/bin/jmeter /usr/local/bin/jmeter \
-    && wget --no-check-certificate https://jmeter-plugins.org/get/ -O lib/ext/jmeter-plugins-manager-1.4.jar \
-    && wget http://search.maven.org/remotecontent?filepath=kg/apc/cmdrunner/2.2/cmdrunner-2.2.jar -O lib/cmdrunner-2.2.jar \
-    && java -cp lib/ext/jmeter-plugins-manager-1.4.jar org.jmeterplugins.repository.PluginManagerCMDInstaller \
-    && bin/PluginsManagerCMD.sh install jpgc-synthesis=2.1,jpgc-filterresults=2.1,jpgc-mergeresults=2.1,jpgc-cmd=2.1,jpgc-perfmon=2.1
-
-# bzt is used for performance regression test suite
-# bzt requires python 3.6 runtime.
-# Download pyenv, use pyenv to download python 3.6.5.
-# The downloaded python 3.6.5 is isolated and doesn't interfere with default python(2.7)
-# Only before starting the performance regression suite, py 3.6.5 is local installed(pyenv local 3.6.5) in test dir
-# !! MMS server will continue using Python 2.7 !!
-RUN curl https://pyenv.run | bash \
-    && $HOME/.pyenv/bin/pyenv install 3.6.5
\ No newline at end of file
diff --git a/.circleci/images/Dockerfile.python3.6 b/.circleci/images/Dockerfile.python3.6
deleted file mode 100644
index bcd3b980d..000000000
--- a/.circleci/images/Dockerfile.python3.6
+++ /dev/null
@@ -1,51 +0,0 @@
-# Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
-# Licensed under the Apache License, Version 2.0 (the "License").
-# You may not use this file except in compliance with the License.
-# A copy of the License is located at
-#     http://www.apache.org/licenses/LICENSE-2.0
-# or in the "license" file accompanying this file. This file is distributed
-# on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either
-# express or implied. See the License for the specific language governing
-# permissions and limitations under the License.
-#
-
-FROM awsdeeplearningteam/mms-build:python3.6@sha256:2c1afa8834907ceec641d254dffbf4bcc659ca2d00fd6f2872d7521f32c9fa2e
-
-# 2020 - Updated Build and Test dependencies
-
-# Python packages for MMS Server
-RUN pip install psutil \
-    && pip install future \
-    && pip install Pillow \
-    && pip install wheel \
-    && pip install twine \
-    && pip install requests \
-    && pip install mock \
-    && pip install numpy \
-    && pip install Image \
-    && pip install mxnet==1.5.0
-
-# Python packages for pytests
-RUN pip install pytest==4.0.0 \
-    && pip install pytest-cov \
-    && pip install pytest-mock
-
-# Python packages for benchmark
-RUN pip install pandas
-
-# Install NodeJS and packages for API tests
-RUN curl -sL https://deb.nodesource.com/setup_14.x | sudo -E bash - \
-    && sudo apt-get install -y nodejs \
-    && sudo npm install -g newman newman-reporter-html
-
-# Install jmeter for benchmark
-# ToDo: Remove --no-check-certificate; temporarily added to bypass jmeter-plugins.org's expired certificate
-RUN cd /opt \
-    && wget https://archive.apache.org/dist/jmeter/binaries/apache-jmeter-5.3.tgz \
-    && tar -xzf apache-jmeter-5.3.tgz \
-    && cd apache-jmeter-5.3 \
-    && ln -s /opt/apache-jmeter-5.3/bin/jmeter /usr/local/bin/jmeter \
-    && wget --no-check-certificate https://jmeter-plugins.org/get/ -O lib/ext/jmeter-plugins-manager-1.4.jar \
-    && wget http://search.maven.org/remotecontent?filepath=kg/apc/cmdrunner/2.2/cmdrunner-2.2.jar -O lib/cmdrunner-2.2.jar \
-    && java -cp lib/ext/jmeter-plugins-manager-1.4.jar org.jmeterplugins.repository.PluginManagerCMDInstaller \
-    && bin/PluginsManagerCMD.sh install jpgc-synthesis=2.1,jpgc-filterresults=2.1,jpgc-mergeresults=2.1,jpgc-cmd=2.1,jpgc-perfmon=2.1
\ No newline at end of file
diff --git a/.circleci/scripts/linux_build.sh b/.circleci/scripts/linux_build.sh
deleted file mode 100755
index 019e629f9..000000000
--- a/.circleci/scripts/linux_build.sh
+++ /dev/null
@@ -1,3 +0,0 @@
-#!/bin/bash
-
-python setup.py bdist_wheel --universal
\ No newline at end of file
diff --git a/.circleci/scripts/linux_test_api.sh b/.circleci/scripts/linux_test_api.sh
deleted file mode 100755
index 23f908abb..000000000
--- a/.circleci/scripts/linux_test_api.sh
+++ /dev/null
@@ -1,77 +0,0 @@
-#!/bin/bash
-
-MODEL_STORE_DIR='test/model_store'
-
-MMS_LOG_FILE_MANAGEMENT='mms_management.log'
-MMS_LOG_FILE_INFERENCE='mms_inference.log'
-MMS_LOG_FILE_HTTPS='mms_https.log'
-MMS_CONFIG_FILE_HTTPS='test/resources/config.properties'
-
-POSTMAN_ENV_FILE='test/postman/environment.json'
-POSTMAN_COLLECTION_MANAGEMENT='test/postman/management_api_test_collection.json'
-POSTMAN_COLLECTION_INFERENCE='test/postman/inference_api_test_collection.json'
-POSTMAN_COLLECTION_HTTPS='test/postman/https_test_collection.json'
-POSTMAN_DATA_FILE_INFERENCE='test/postman/inference_data.json'
-
-REPORT_FILE_MANAGEMENT='test/management-api-report.html'
-REPORT_FILE_INFERENCE='test/inference-api-report.html'
-REPORT_FILE_HTTPS='test/https-api-report.html'
-
-start_mms_server() {
-  multi-model-server --start --model-store $1 >> $2 2>&1
-  sleep 10
-}
-
-start_mms_secure_server() {
-  multi-model-server --start --mms-config $MMS_CONFIG_FILE_HTTPS --model-store $1 >> $2 2>&1
-  sleep 10
-}
-
-stop_mms_server() {
-  multi-model-server --stop
-}
-
-trigger_management_tests(){
-  start_mms_server $MODEL_STORE_DIR $MMS_LOG_FILE_MANAGEMENT
-  newman run -e $POSTMAN_ENV_FILE $POSTMAN_COLLECTION_MANAGEMENT \
-             -r cli,html --reporter-html-export $REPORT_FILE_MANAGEMENT --verbose
-  stop_mms_server
-}
-
-trigger_inference_tests(){
-  start_mms_server $MODEL_STORE_DIR $MMS_LOG_FILE_INFERENCE
-  newman run -e $POSTMAN_ENV_FILE $POSTMAN_COLLECTION_INFERENCE -d $POSTMAN_DATA_FILE_INFERENCE \
-             -r cli,html --reporter-html-export $REPORT_FILE_INFERENCE --verbose
-  stop_mms_server
-}
-
-trigger_https_tests(){
-  start_mms_secure_server $MODEL_STORE_DIR $MMS_LOG_FILE_HTTPS
-  newman run --insecure -e $POSTMAN_ENV_FILE $POSTMAN_COLLECTION_HTTPS \
-             -r cli,html --reporter-html-export $REPORT_FILE_HTTPS --verbose
-  stop_mms_server
-}
-
-mkdir -p $MODEL_STORE_DIR
-
-case $1 in
-   'management')
-      trigger_management_tests
-      ;;
-   'inference')
-      trigger_inference_tests
-      ;;
-   'https')
-      trigger_https_tests
-      ;;
-   'ALL')
-      trigger_management_tests
-      trigger_inference_tests
-      trigger_https_tests
-      ;;
-   *)
-     echo $1 'Invalid'
-     echo 'Please specify any one of - management | inference | https | ALL'
-     exit 1
-     ;;
-esac
\ No newline at end of file
diff --git a/.circleci/scripts/linux_test_benchmark.sh b/.circleci/scripts/linux_test_benchmark.sh
deleted file mode 100755
index 73c66f58e..000000000
--- a/.circleci/scripts/linux_test_benchmark.sh
+++ /dev/null
@@ -1,14 +0,0 @@
-#!/bin/bash
-
-# Hack needed to make it work with existing benchmark.py
-# benchmark.py expects jmeter to be present at a very specific location
-mkdir -p /home/ubuntu/.linuxbrew/Cellar/jmeter/5.3/libexec/bin/
-ln -s /opt/apache-jmeter-5.3/bin/jmeter /home/ubuntu/.linuxbrew/Cellar/jmeter/5.3/libexec/bin/jmeter
-
-multi-model-server --start >> mms.log 2>&1
-sleep 30
-
-cd benchmarks
-python benchmark.py latency
-
-multi-model-server --stop
\ No newline at end of file
diff --git a/.circleci/scripts/linux_test_modelarchiver.sh b/.circleci/scripts/linux_test_modelarchiver.sh
deleted file mode 100755
index bdae61a65..000000000
--- a/.circleci/scripts/linux_test_modelarchiver.sh
+++ /dev/null
@@ -1,17 +0,0 @@
-#!/bin/bash
-
-cd model-archiver/
-
-# Lint test
-pylint -rn --rcfile=./model_archiver/tests/pylintrc model_archiver/.
-
-# Execute python unit tests
-python -m pytest --cov-report html:results_units --cov=./ model_archiver/tests/unit_tests
-
-
-# Install model archiver module
-pip install .
-
-# Execute integration tests
-python -m pytest model_archiver/tests/integ_tests
-# ToDo - Report for Integration tests ?
\ No newline at end of file
diff --git a/.circleci/scripts/linux_test_perf_regression.sh b/.circleci/scripts/linux_test_perf_regression.sh
deleted file mode 100755
index 6d3f80764..000000000
--- a/.circleci/scripts/linux_test_perf_regression.sh
+++ /dev/null
@@ -1,28 +0,0 @@
-#!/bin/bash
-
-multi-model-server --start \
-                   --models squeezenet=https://s3.amazonaws.com/model-server/model_archive_1.0/squeezenet_v1.1.mar \
-                   >> mms.log 2>&1
-sleep 90
-
-cd performance_regression
-
-# Only on a python 2 environment -
-PY_MAJOR_VER=$(python -c 'import sys; major = sys.version_info.major; print(major);')
-if [ $PY_MAJOR_VER -eq 2 ]; then
-  # Hack to use python 3.6.5 for bzt installation and execution
-  export PATH="/root/.pyenv/bin:/root/.pyenv/shims:$PATH"
-  pyenv local 3.6.5
-fi
-
-# Install dependencies
-pip install bzt
-
-curl -O https://s3.amazonaws.com/model-server/inputs/kitten.jpg
-bzt -o modules.jmeter.path=/opt/apache-jmeter-5.3/bin/jmeter \
-    -o settings.artifacts-dir=/tmp/mms-performance-regression/ \
-    -o modules.console.disable=true \
-    imageInputModelPlan.jmx.yaml \
-    -report
-
-multi-model-server --stop
\ No newline at end of file
diff --git a/.circleci/scripts/linux_test_python.sh b/.circleci/scripts/linux_test_python.sh
deleted file mode 100755
index 9af6d1e5b..000000000
--- a/.circleci/scripts/linux_test_python.sh
+++ /dev/null
@@ -1,7 +0,0 @@
-#!/bin/bash
-
-# Lint Test
-pylint -rn --rcfile=./mms/tests/pylintrc mms/.
-
-# Execute python tests
-python -m pytest --cov-report html:htmlcov --cov=mms/ mms/tests/unit_tests/
\ No newline at end of file
diff --git a/run_circleci_tests.py b/run_circleci_tests.py
deleted file mode 100755
index 5001c0006..000000000
--- a/run_circleci_tests.py
+++ /dev/null
@@ -1,168 +0,0 @@
-#!/usr/bin/env python
-"""
-- This script helps to execute circleci jobs in a container on developer's local machine.
-- The script accepts workflow(mandatory), job(optional) and executor(optional) arguments.
-- The script used circleci cli's process command to generate a processed yaml.
-- The processed yaml, is parsed and twekaed to generate a new transformed yaml.
-- The transformed yaml contains a single job, which is merged and ordered list of job steps
-from the specfied and requird parent jobs.
-"""
-
-# Make sure you have following dependencies installed on your local machine
-# 1. PyYAML (pip install PyYaml)
-# 2. CircleCI cli from - https://circleci.com/docs/2.0/local-cli/#installation
-# 3. docker
-
-from collections import OrderedDict
-from functools import reduce
-
-import subprocess
-import sys
-import copy
-import argparse
-import yaml
-
-parser = argparse.ArgumentParser(description='Execute circleci jobs in a container \
-                                                on your local machine')
-parser.add_argument('workflow', type=str, help='Workflow name from config.yml')
-parser.add_argument('-j', '--job', type=str, help='Job name from config.yml')
-parser.add_argument('-e', '--executor', type=str, help='Executor name from config.yml')
-args = parser.parse_args()
-
-workflow = args.workflow
-job = args.job
-executor = args.executor
-
-CCI_CONFIG_FILE = '.circleci/config.yml'
-PROCESSED_FILE = '.circleci/processed.yml'
-XFORMED_FILE = '.circleci/xformed.yml'
-CCI_CONFIG = {}
-PROCESSED_CONFIG = {}
-XFORMED_CONFIG = {}
-XFORMED_JOB_NAME = 'mms_xformed_job'
-BLACKLISTED_STEPS = ['persist_to_workspace', 'attach_workspace', 'store_artifacts']
-
-# Read CircleCI's config
-with open(CCI_CONFIG_FILE) as fstream:
-    try:
-        CCI_CONFIG = yaml.safe_load(fstream)
-    except yaml.YAMLError as err:
-        print(err)
-
-# Create processed YAML using circleci cli's 'config process' commands
-PROCESS_CONFIG_CMD = 'circleci config process {} > {}'.format(CCI_CONFIG_FILE, PROCESSED_FILE)
-print("Executing command : ", PROCESS_CONFIG_CMD)
-subprocess.check_call(PROCESS_CONFIG_CMD, shell=True)
-
-# Read the processed config
-with open(PROCESSED_FILE) as fstream:
-    try:
-        PROCESSED_CONFIG = yaml.safe_load(fstream)
-    except yaml.YAMLError as err:
-        print(err)
-
-# All executors available in the config file
-available_executors = list(CCI_CONFIG['executors'])
-
-# All jobs available under the specified workflow
-jobs_in_workflow = PROCESSED_CONFIG['workflows'][workflow]['jobs']
-
-
-def get_processed_job_sequence(processed_job_name):
-    """ Recursively iterate over jobs in the workflow to generate an ordered list of parent jobs """
-    jobs_in_sequence = []
-
-    job_dict = next((jd for jd in jobs_in_workflow \
-                    if isinstance(jd, dict) and processed_job_name == list(jd)[0]), None)
-    if job_dict:
-        # Find all parent jobs, recurse to find their respective ancestors
-        parent_jobs = job_dict[processed_job_name].get('requires', [])
-        for pjob in parent_jobs:
-            jobs_in_sequence += get_processed_job_sequence(pjob)
-
-    return jobs_in_sequence + [processed_job_name]
-
-
-def get_jobs_to_exec(job_name):
-    """ Returns a dictionary of executors and a list of jobs to be executed in them  """
-    jobs_dict = {}
-    executors = [executor] if executor else available_executors
-
-    for exectr_name in executors:
-        if job_name is None:
-            # List of all job names(as string)
-            jobs_dict[exectr_name] = map(lambda j: j if isinstance(j, str) \
-                else list(j)[0], jobs_in_workflow)
-            # Filter processed job names as per the executor
-            # "job_name-executor_name" is a convention set in config.yml
-            # pylint: disable=cell-var-from-loop
-            jobs_dict[exectr_name] = filter(lambda j: exectr_name in j, jobs_dict[exectr_name])
-        else:
-            # The list might contain duplicate parent jobs due to multiple fan-ins like config
-            #     - Remove the duplicates
-            # "job_name-executor_name" is a convention set in config.yml
-            jobs_dict[exectr_name] = \
-                OrderedDict.fromkeys(get_processed_job_sequence(job_name + '-' + exectr_name))
-        jobs_dict[exectr_name] = list(jobs_dict[exectr_name])
-
-    return jobs_dict
-
-
-# jobs_to_exec is a dict, with executor(s) as the key and list of jobs to be executed as its value
-jobs_to_exec = get_jobs_to_exec(job)
-
-
-def get_jobs_steps(steps, job_name):
-    """ Merge all the steps from list of jobs to execute """
-    job_steps = PROCESSED_CONFIG['jobs'][job_name]['steps']
-    filtered_job_steps = list(filter(lambda step: list(step)[0] not in BLACKLISTED_STEPS, \
-                                     job_steps))
-    return steps + filtered_job_steps
-
-
-result_dict = {}
-
-for exectr, jobs in jobs_to_exec.items():
-    merged_steps = reduce(get_jobs_steps, jobs, [])
-
-    # Create a new job, using the first job as a reference
-    # This ensures configs like executor, environment, etc are maintained from the first job
-    first_job = jobs[0]
-    xformed_job = copy.deepcopy(PROCESSED_CONFIG['jobs'][first_job])
-
-    # Add the merged steps to this newly introduced job
-    xformed_job['steps'] = merged_steps
-
-    # Create a duplicate config(transformed) with the newly introduced job as the only job in config
-    XFORMED_CONFIG = copy.deepcopy(PROCESSED_CONFIG)
-    XFORMED_CONFIG['jobs'] = {}
-    XFORMED_CONFIG['jobs'][XFORMED_JOB_NAME] = xformed_job
-
-    # Create a transformed yaml
-    with open(XFORMED_FILE, 'w+') as fstream:
-        yaml.dump(XFORMED_CONFIG, fstream)
-
-    try:
-        # Locally execute the newly created job
-        # This newly created job has all the steps (ordered and merged from steps in parent job(s))
-        LOCAL_EXECUTE_CMD = 'circleci local execute -c {} --job {}'.format(XFORMED_FILE, \
-                                                                           XFORMED_JOB_NAME)
-        print('Executing command : ', LOCAL_EXECUTE_CMD)
-        result_dict[exectr] = subprocess.check_call(LOCAL_EXECUTE_CMD, shell=True)
-    except subprocess.CalledProcessError as err:
-        result_dict[exectr] = err.returncode
-
-# Clean up, remove the processed and transformed yml files
-CLEANUP_CMD = 'rm {} {}'.format(PROCESSED_FILE, XFORMED_FILE)
-print('Executing command : ', CLEANUP_CMD)
-subprocess.check_call(CLEANUP_CMD, shell=True)
-
-# Print job execution details
-for exectr, retcode in result_dict.items():
-    colorcode, status = ('\033[0;37;42m', 'successful') if retcode == 0 \
-        else ('\033[0;37;41m', 'failed')
-    print("{} Job execution {} using {} executor \x1b[0m".format(colorcode, status, exectr))
-
-# Exit as per overall status
-SYS_EXIT_CODE = 0 if all(retcode == 0 for exectr, retcode in result_dict.items()) else 1
-sys.exit(SYS_EXIT_CODE)