Automating Code Deployment
This tutorial teaches you how to use a script to automate DevOps tasks. In order to complete this tutorial, you need a valid Control-M endPoint and API token.
Before you begin
Ensure that you meet the following prerequisites:
-
You have successfully completed API setup, as described in Setting Up the API.
-
You have Git installed. If not, obtain it from the Git Downloads page.
-
You have local copies of the tutorial samples from GitHub and a local copy of the source code using the git clone command:
Copygit clone https://github.com/controlm/automation-api-quickstart.git
Step 1: Set the Control-M Environment
The first task when starting to work with Control-M Automation API is to configure the Control-M environment that you are going to use. An environment is a combination of an endPoint
An endPoint looks like the following:
https://<controlmEndPointHost>/automation-api
The Helix Control-M endpoint host has the following format: <tenant-name>-aapi.<area>.ctmsaas.com
Let's add an environment and name it
The command below shows you how to do this. In this command, you specify a valid API token, as described in Authentication Service.
ctm environment saas::add prodEnvironment "https://<controlmEndPointHost>/automation-api" "<keyToken>"
Step 2: Access the Tutorial Samples
Go to the directory where the tutorial sample is located:
cd automation-api-quickstart/helix-control-m/102-automate-code-deployment
Step 3: Deploy to prodEnvironment
Deploy the code to a specific environment. The "-e" is used to specify a destination environment that differs from the default environment.
The command below shows you how to do this and demonstrates a response:
> ctm deploy AutomationAPISampleFlow.json -e prodEnvironment
[
{
"deploymentFile": "AutomationAPISampleFlow.json",
"successfulFoldersCount": 0,
"successfulSmartFoldersCount": 1,
"successfulSubFoldersCount": 0,
"successfulJobsCount": 2,
"successfulConnectionProfilesCount": 0,
"successfulDriversCount": 0,
"isDeployDescriptorValid": false,
"deployedFolders": [
"AutomationAPISampleFlow"
]
}
]
Step 4: Retrieve jobs from prodEnvironment Back to the Development Environment Using Deploy Descriptor
You can now retrieve the jobs from the
The following command shows how to retrieve the jobs and folders from the
ctm deploy jobs::get -s "server=*&folder=*" -e prodEnvironment > prodEnvironmentJobs.json
Typically, the two environments (in this case,
{
"DeployDescriptor":
[
{
"Comment": "Set run as user in Defaults to the Dev automation user",
"ApplyOn": {
"@":"Defaults"
},
"Property" :"RunAs",
"Assign" : "devuser"
},
{
"Comment": "Modify Application property to comply with Development environment",
"Property" :"Application",
"Replace" : [ {"(.*)" : "Dev$1"} ]
},
{
"Comment": "Distribute jobs across hosts available in Development environment based on job names",
"Property": "Host",
"Source": "@",
"Replace": [
{ "Command.*" : "devhost"},
{ "Script.*" : "devhost"}
]
}
]
}
Use the deploy transform command to debug the modifications:
ctm deploy transform prodEnvironmentJobs.json DeployDescriptor.json -e testEnvironment
The following output is returned. Note that the name of the application now begins with "Dev", and the two hosts are now
{
"AutomationAPISampleFlow": {
"Type": "Folder",
"ControlmServer": "IN01",
"RunAs": "USERNAME",
"SubApplication": "SampleSubApp",
"Application": "DevSampleApp",
"CommandJob": {
"Type": "Job:Command",
"SubApplication": "SampleSubApp",
"Host": "workbench",
"RunAs": "USERNAME",
"Application": "DevSampleApp",
"Command": "echo my 1st job",
"When": {
"WeekDays": [ "MON", "TUE", "WED", "THU", "FRI" ],
"Months": [ "JAN", "OCT", "DEC" ],
"MonthDays": [ "1", "11", "22" ],
"ToTime": "2100",
"FromTime": "0300"
},
"IfBase:Folder:CompletionStatus_0": {
"Type": "If:CompletionStatus",
"CompletionStatus": "NOTOK",
"Mail_0": {
"Type": "Action:Mail",
"To": "[email protected]",
"Message": "%%JOBNAME failed"
}
}
},
"ScriptJob": {
"Type": "Job:Script",
"SubApplication": "SampleSubApp",
"FileName": "SCRIPT_NAME",
"Host": "workbench",
"FilePath": "SCRIPT_PATH",
"RunAs": "USERNAME",
"Application": "DevSampleApp",
"When": {
"WeekDays": [ "MON", "TUE", "WED", "THU", "FRI" ],
"Months": [ "JAN", "OCT", "DEC" ],
"MonthDays": [ "1", "11", "22" ],
"ToTime": "2100",
"FromTime": "0300"
},
"IfBase:Folder:CompletionStatus_0": {
"Type": "If:CompletionStatus",
"CompletionStatus": "NOTOK",
"Mail_0": {
"Type": "Action:Mail",
"To": "[email protected]",
"Message": "%%JOBNAME failed"
}
}
},
"Flow": {
"Type": "Flow",
"Sequence": [
"CommandJob",
"ScriptJob"
]
}
},
"JobsRunInDockerSample": {
"Type": "Folder",
"ControlmServer": "IN01",
"RunAs": "controlm",
"SubApplication": "SampleSubApp",
"Application": "DevSampleApp",
"CommandJob": {
"Type": "Job:Command",
"SubApplication": "SampleSubApp",
"Host": "workbench",
"RunAs": "controlm",
"Application": "DevSampleApp",
"Command": "whoami ; pwd; ls -l"
}
},
"AutomationAPIFileTransferDatabaseSampleFlow": {
"Type": "Folder",
"Variables": [
{
"DestDataFile": "DESTINATION_FILE"
},
{
"SrcDataFile": "SOURCE_FILE"
}
],
"ControlmServer": "IN01",
"SubApplication": "SampleSubApp",
"Application": "DevSampleApp",
"GetData": {
"Type": "Job:FileTransfer",
"ConnectionProfileSrc": "SFTP-CP",
"ConnectionProfileDest": "Local-CP",
"SubApplication": "SampleSubApp",
"Host": "HOST",
"RunAs": "SFTP-CP+Local-CP",
"Application": "DevSampleApp",
"Variables": [
{
"DestDataFile": "DESTINATION_FILE"
},
{
"SrcDataFile": "SOURCE_FILE"
}
],
"FileTransfers": [
{
"ABSTIME": "0",
"VERNUM": "0",
"Dest": "%%DestDataFile",
"SRCOPT": "0",
"TransferType": "Binary",
"CASEIFS": "0",
"DSTOPT": "0",
"RECURSIVE": "0",
"TransferOption": "SrcToDest",
"Src": "%%SrcDataFile",
"TIMELIMIT": "0",
"EXCLUDE_WILDCARD": "0",
"NULLFLDS": "0",
"TRIM": "1",
"IF_EXIST": "0",
"UNIQUE": "0",
"PostCommandDest": {
"action": "chmod",
"arg2": "%%DestDataFile",
"arg1": "700"
},
"PreCommandDest": {
"arg1": "%%DestDataFile",
"action": "rm"
}
}
],
"When": {
"ToTime": "2100",
"FromTime": "0300"
}
},
"UpdateRecords": {
"Type": "Job:Database:SQLScript",
"SQLScript": "/home/USER/automation-api-quickstart/helix-control-m/101-running-file-transfer-and-database-query-job-flow/processRecords.sql",
"ConnectionProfile": "DB-CP",
"SubApplication": "SampleSubApp",
"Host": "HOST",
"RunAs": "DB-CP",
"Application": "DevSampleApp",
"Variables": [
{
"DestDataFile": "DESTINATION_FILE"
},
{
"SrcDataFile": "SOURCE_FILE"
}
],
"When": {
"ToTime": "2100",
"FromTime": "0300"
}
},
"Flow": {
"Type": "Flow",
"Sequence": [
"GetData",
"UpdateRecords"
]
}
},
"JobsRunInDockerSample2": {
"Type": "Folder",
"ControlmServer": "IN01",
"RunAs": "controlm",
"SubApplication": "SampleSubApp",
"Application": "DevSampleApp",
"CommandJob": {
"Type": "Job:Command",
"SubApplication": "SampleSubApp",
"Host": "workbench",
"RunAs": "controlm",
"Application": "DevSampleApp",
"Command": "whoami ; pwd; ls -l"
}
}
}
To do the actual deployment to the Development environment, use the following command:
ctm deploy prodEnvironmentJobs.json DeployDescriptor.json -e testEnvironment
Step 5: Automate Deployments
Let's automate the deployment of Control-M object definitions from the source directory to
#!/bin/bash
for f in *.json; do
echo "Deploying file $f";
ctm deploy $f -e prodEnvironment;
done
This code can be used in Jenkins to push Git changes to Control-M.
Step 6: Automate Deployments with a Python Script
You can automate the deployment of Control-M object definitions from the source directory to
import requests # pip install requests if you don't have it already
import urllib3
urllib3.disable_warnings() # disable warnings when creating unverified requests
endPoint = 'https://<controlmEndPointHost>/automation-api'
token=<token>
# -----------------
# Built
uploaded_files = [
('definitionsFile', ('Jobs.json', open('c:\\src\Jobs.json', 'rb'), 'application/json'))
]
r = requests.post(endPoint + '/deploy', files=uploaded_files, headers={'x-api-key': + token}, verify=False)
print(r.content)
print(r.status_code)
exit(r.status_code == requests.codes.ok)
Where to Go from Here
To learn more about what you can do with the Control-M Automation API, read through Code Reference and Services.