Moves the files into relevant directories in deploy directory (#94)

azure-pipelines/PR-pipeline.yml

@@ -76,7 +76,7 @@ jobs:
         # Setup the infrastructure for testing the pipeline
         DEPLOY_PGSQL=${USE_POSTGRE_SQL} \
           PRE_PROVISIONED_AI_MODEL_INFRA_NAME=${CI_BATCH_ACCOUNT_NAME} \
-          $(System.DefaultWorkingDirectory)/deploy/setup.sh ${ENV_CODE} ${AZURE_REGION} ${ENV_CODE}-ci-environment
+          $(System.DefaultWorkingDirectory)/deploy/scripts/setup.sh ${ENV_CODE} ${AZURE_REGION} ${ENV_CODE}-ci-environment
 
         # Grant access on Synapse workspace to resource owner azure account
         SYNAPSE_WORKSPACE_NAME=$(az synapse workspace list --query "[?tags.workspaceId && tags.workspaceId == 'default'].name" -o tsv -g "${ENV_CODE}-pipeline-rg")
@@ -106,4 +106,4 @@ jobs:
       inlineScript: |
         set -e
         # Cleanup the resources
-        $(System.DefaultWorkingDirectory)/deploy/cleanup.sh ${ENV_CODE} ${CI_BATCH_ACCOUNT_NAME}
+        $(System.DefaultWorkingDirectory)/deploy/scripts/cleanup.sh ${ENV_CODE} ${CI_BATCH_ACCOUNT_NAME}

deploy/README.md

@@ -45,20 +45,20 @@ az account set -s <subscription_id>
 The following command will install, configure and generate the custom vision model package.
 
 ```bash
-./deploy/setup.sh <environmentCode> <location>
+./deploy/scripts/setup.sh <environmentCode> <location>
 ```
 - `environmentCode` used as a prefix for Azure resource names. It allows only alpha numeric(no special characters) and must be between 3 and 8 characters.
 - `location`is a valid Azure region.
 
 For eg.
 ```bash
-./deploy/setup.sh aoi eastus
+./deploy/scripts/setup.sh aoi eastus
 ```
 
-[setup.sh](./setup.sh) executes tasks in 3 steps
-- installs the infrastructure using [install.sh](./install.sh) script.
-- configures the infrastructure for setting up the dependecies using [configure.sh](./configure.sh) script.
-- packages the pipeline code to a zip file using [package.sh](./package.sh) script.
+[setup.sh](./scripts/setup.sh) executes tasks in 3 steps
+- installs the infrastructure using [install.sh](./scripts/install.sh) script.
+- configures the infrastructure for setting up the dependecies using [configure.sh](./scripts/configure.sh) script.
+- packages the pipeline code to a zip file using [package.sh](./scripts/package.sh) script.
 
 After the script has run successfully, please check the batch-account pool created is created successfully.
 
@@ -91,12 +91,12 @@ As discussed above the `environmentCode` is used as prefix to generate resource
 Execute the cleanup script as follows:
 
 ```bash
-./deploy/cleanup.sh <environmentCode>
+./deploy/scripts/cleanup.sh <environmentCode>
 ```
 
 For eg.
 ```bash
-./deploy/cleanup.sh aoi
+./deploy/scripts/cleanup.sh aoi
 ```
 
 If one wants not to delete any specific resource group and thus resource they can use NO_DELETE_*_RESOURCE_GROUP environment variable, by setting it to true
@@ -107,9 +107,9 @@ NO_DELETE_MONITORING_RESOURCE_GROUP=true
 NO_DELETE_NETWORKING_RESOURCE_GROUP=true
 NO_DELETE_ORCHESTRATION_RESOURCE_GROUP=true
 NO_DELETE_PIPELINE_RESOURCE_GROUP=true
-./deploy/cleanup.sh <environmentCode>
+./deploy/scripts/cleanup.sh <environmentCode>
 ```
 
 ## AI Model
 
-Follow the [document](./using-ai-model-in-pipeline.md) to understand and use [Custom Vision Model](/src/aimodels) or bring different ai-model for processing with the pipeline.
+Follow the [document](./docs/using-ai-model-in-pipeline.md) to understand and use [Custom Vision Model](/src/aimodels) or bring different ai-model for processing with the pipeline.

deploy/infra/modules/aci.bicep

@@ -41,7 +41,7 @@ param dbPassword string
 
 param dbPort int = 5432
 
-var commandString = 'apt update -y && apt install curl -y && curl -o root.crt https://cacerts.digicert.com/BaltimoreCyberTrustRoot.crt.pem && curl -o CVModelSQLScript.sql https://raw.githubusercontent.com/Azure/Azure-Orbital-Analytics-Samples/main/deploy/CVModelSQLScript.sql && psql --set=sslmode=require --set=sslrootcert=root.crt -h ${server} -p ${dbPort} -U ${username} -W -d ${db} -f CVModelSQLScript.sql'
+var commandString = 'apt update -y && apt install curl -y && curl -o root.crt https://cacerts.digicert.com/BaltimoreCyberTrustRoot.crt.pem && curl -o CVModelSQLScript.sql https://raw.githubusercontent.com/Azure/Azure-Orbital-Analytics-Samples/main/deploy/scripts/CVModelSQLScript.sql && psql --set=sslmode=require --set=sslrootcert=root.crt -h ${server} -p ${dbPort} -U ${username} -W -d ${db} -f CVModelSQLScript.sql'
 
 resource containerGroup 'Microsoft.ContainerInstance/containerGroups@2021-09-01' = {
   name: name

deploy/scripts/configure.sh

@@ -3,7 +3,7 @@
 # Copyright (c) Microsoft Corporation.
 # Licensed under the MIT license.
 
-PRJ_ROOT="$(cd `dirname "${BASH_SOURCE}"`/..; pwd)"
+PRJ_ROOT="$(cd `dirname "${BASH_SOURCE}"`/../..; pwd)"
 ENV_CODE=${1:-${ENV_CODE}}
 
 AI_MODEL_INFRA_TYPE=${2:-${AI_MODEL_INFRA_TYPE:-"batch-account"}} # Currently supported values are aks and batch-account
@@ -36,7 +36,7 @@ if [[ -z "$SYNAPSE_POOL" ]]; then
 fi
 if [[ -n $SYNAPSE_WORKSPACE ]] && [[ -n $SYNAPSE_WORKSPACE_RG ]] && [[ -n $SYNAPSE_POOL ]]; then
     # upload synapse pool 
-    az synapse spark pool update --name ${SYNAPSE_POOL} --workspace-name ${SYNAPSE_WORKSPACE} --resource-group ${SYNAPSE_WORKSPACE_RG} --library-requirements "${PRJ_ROOT}/deploy/environment.yml"
+    az synapse spark pool update --name ${SYNAPSE_POOL} --workspace-name ${SYNAPSE_WORKSPACE} --resource-group ${SYNAPSE_WORKSPACE_RG} --library-requirements "${PRJ_ROOT}/deploy/scripts/environment.yml"
 fi
 
 if [[ -z "$SYNAPSE_STORAGE_ACCOUNT" ]]; then

deploy/scripts/install.sh

@@ -3,6 +3,8 @@
 # Copyright (c) Microsoft Corporation.
 # Licensed under the MIT license.
 
+PRJ_ROOT="$(cd `dirname "${BASH_SOURCE}"`/../..; pwd)"
+
 set -ex
 
 if [[ -z "$1" ]]
@@ -32,7 +34,7 @@ if [[ "$AI_MODEL_INFRA_TYPE" != "batch-account" ]] && [[ "$AI_MODEL_INFRA_TYPE"
 fi
 
 DEPLOYMENT_SCRIPT="az deployment sub create -l $LOCATION -n $DEPLOYMENT_NAME \
-    -f ./deploy/infra/main.bicep \
+    -f ${PRJ_ROOT}/deploy/infra/main.bicep \
     -p \
     location=$LOCATION \
     environmentCode=$ENV_CODE \

deploy/scripts/package.py

@@ -60,7 +60,7 @@ def replace(tokens_map: dict, body: str):
 def package(pipeline_name: str, tokens_map: dict, modes='batch-account'):
 
     script_dirname = os.path.dirname(__file__)
-    src_folder_path = os.path.join(script_dirname, '..', 'src', 'workflow', pipeline_name)
+    src_folder_path = os.path.join(script_dirname, '../..', 'src', 'workflow', pipeline_name)
     package_folder_path= os.path.join(os.getcwd(), pipeline_name)
 
     # mode

deploy/scripts/package.sh

@@ -3,7 +3,7 @@
 # Copyright (c) Microsoft Corporation.
 # Licensed under the MIT license.
 
-PRJ_ROOT="$(cd `dirname "${BASH_SOURCE}"`/..; pwd)"
+PRJ_ROOT="$(cd `dirname "${BASH_SOURCE}"`/../..; pwd)"
 
 ENV_CODE=${1:-$ENV_CODE}
 PIPELINE_NAME=${2:-${PIPELINE_NAME:-"custom-vision-model"}}
@@ -86,7 +86,7 @@ if [[ "$AI_MODEL_INFRA_TYPE" == "batch-account" ]]; then
     fi
 
     echo 'Retrieved resource from Azure and ready to package'
-    PACKAGING_SCRIPT="python3 ${PRJ_ROOT}/deploy/package.py \
+    PACKAGING_SCRIPT="python3 ${PRJ_ROOT}/deploy/scripts/package.py \
         --raw_storage_account_name $RAW_STORAGE_ACCOUNT_NAME \
         --synapse_storage_account_name $SYNAPSE_STORAGE_ACCOUNT_NAME \
         --modes $MODE \
@@ -132,7 +132,7 @@ elif [[ "$AI_MODEL_INFRA_TYPE" == "aks" ]]; then
         counter=$((counter+1))
     done
     BASE64ENCODEDZIPCONTENT_FUNCTIONAPP_URL="https://${BASE64ENCODEDZIPCONTENT_FUNCTIONAPP_HOST}"
-    PACKAGING_SCRIPT="python3 ${PRJ_ROOT}/deploy/package.py \
+    PACKAGING_SCRIPT="python3 ${PRJ_ROOT}/deploy/scripts/package.py \
         --raw_storage_account_name $RAW_STORAGE_ACCOUNT_NAME \
         --synapse_storage_account_name $SYNAPSE_STORAGE_ACCOUNT_NAME \
         --modes $MODE \

deploy/scripts/setup.sh

@@ -11,6 +11,8 @@ AI_MODEL_INFRA_TYPE=${5:-${AI_MODEL_INFRA_TYPE:-"batch-account"}} # Currently su
 PRE_PROVISIONED_AI_MODEL_INFRA_NAME=${6:-$PRE_PROVISIONED_AI_MODEL_INFRA_NAME}
 DEPLOY_PGSQL=${7:-${DEPLOY_PGSQL:-"true"}}
 
+PRJ_ROOT="$(cd `dirname "${BASH_SOURCE}"`/../..; pwd)"
+
 set -ex
 
 if [[ -z "$ENV_CODE" ]]
@@ -43,24 +45,24 @@ if [[ -z "$ENV_TAG" ]]
     DEPLOY_PGSQL=${DEPLOY_PGSQL} \
     DEPLOY_AI_MODEL_INFRA=${DEPLOY_AI_MODEL_INFRA} \
     AI_MODEL_INFRA_TYPE=${AI_MODEL_INFRA_TYPE} \
-      ./deploy/install.sh "$ENV_CODE" "$LOCATION" 
+      ${PRJ_ROOT}/deploy/scripts/install.sh "$ENV_CODE" "$LOCATION" 
   else
     DEPLOY_PGSQL=${DEPLOY_PGSQL} \
     DEPLOY_AI_MODEL_INFRA=${DEPLOY_AI_MODEL_INFRA} \
     AI_MODEL_INFRA_TYPE=${AI_MODEL_INFRA_TYPE} \
-      ./deploy/install.sh "$ENV_CODE" "$LOCATION" "$ENV_TAG"
+      ${PRJ_ROOT}/deploy/scripts/install.sh "$ENV_CODE" "$LOCATION" "$ENV_TAG"
 fi
 
 if [[ "${DEPLOY_AI_MODEL_INFRA}" == "false" ]] && [[ "${AI_MODEL_INFRA_TYPE}" == "batch-account" ]]; then
   echo "Setting up the batch account!!!"
-  ./test/use-pre-provisioned-batch-account.sh \
+  ${PRJ_ROOT}/test/use-pre-provisioned-batch-account.sh \
     "$ENV_CODE" \
     "$PRE_PROVISIONED_AI_MODEL_INFRA_NAME" \
     "$PIPELINE_NAME"
 fi
 
 echo "Performing configuration"
-./deploy/configure.sh \
+${PRJ_ROOT}/deploy/scripts/configure.sh \
   "$ENV_CODE" \
   "$AI_MODEL_INFRA_TYPE" \
   "$PRE_PROVISIONED_AI_MODEL_INFRA_NAME" 
@@ -71,7 +73,7 @@ if [[ -z "$PIPELINE_NAME" ]]
   else
     echo "Performing pipeline packaging"
     DEPLOY_PGSQL=${DEPLOY_PGSQL} \
-      ./deploy/package.sh \
+      ${PRJ_ROOT}/deploy/scripts/package.sh \
       "$ENV_CODE" \
       "$PIPELINE_NAME" \
       "$AI_MODEL_INFRA_TYPE" \

docs/Pipeline-Activities.md

@@ -23,7 +23,7 @@ No | Folder | Purpose
 8 | sparkJobDefinition | Contains JSON definition files to create Spark Job definitions in Synapse Workspace
 9 | publish_config.json | Contains configuration details such as the branch in your repository to use as pubish branch
 
-**Note:** Individual files and folders in the [Workflow](../src/workflow) parent folder are not intended to be imported into your workspace individually. You will need to run the `package.sh` in the deploy folder to create the zip file and then use the contents of the zip files to check-in your code to a repository.
+**Note:** Individual files and folders in the [Workflow](../src/workflow) parent folder are not intended to be imported into your workspace individually. You will need to run the [package.sh](../deploy/scripts/package.sh)  to create the zip file and then use the contents of the zip files to check-in your code to a repository.
 
 ## Main Pipeline