To start create a new Bolt schedule and make sure to add the deferred_schedule configuration. Depending on your intended behavior you can choose to defer to another production job or defer back to the last CD run.
The deferred_schedule_name set in the configuration should have at least one successful run available, so that Paradime can pick the manifest.json for state comparison.
Example schedule
... - name:continuous_deployment_run# the name of your CD jobdeferred_schedule:enabled:true# true to enabled this Turbo CI job to run on pull request deferred_schedule_name: continuous_deployment_run #the name of the bolt schedule where the CD job will look for the most recent successful run manifest.json for state comparison
schedule:"OFF"# set the schedule configuration to not run on a schedule (to be used for PR only)environment:production#the environment used to run the schedule -> this is always productioncommands: - dbt run --select state:modified+#the dbt™️ command you want to run after the pull request is mergedowner_email:"john@acme.io"#the email of the CD job owner_email...
Generate API keys and find you workspace token
API keys are generate at a workspace level.
To be able to trigger Bolt using the API, you will first need to generate API keys for your workspace. Got to account settings and generate your API keys, make sure to save in your password manager:
API key
API secret
API Endpoint
You will need this later when setting up the secrete in BitBucket pipelines.
Now you will need to create a new bitbucket-pipeline.yml file in your dbt™️ repository. Copy the code block below and enter the values required.
Example BitBucket pipelines configuration file
azure-pipelines.yml
# Specify the base Docker image to use for all pipeline stepsimage:python:3.11# Define reusable pipeline stepsdefinitions:steps:# Create a reusable step template using YAML anchor (&) - step:¶dime-continuous-deployment# Name of this pipeline step for identificationname:Paradime Continuous Deployment# Commands to execute in this stepscript:# Export required Paradime environment variables - export PARADIME_API_KEY=$PARADIME_API_KEY - export PARADIME_API_SECRET=$PARADIME_API_SECRET - export PARADIME_API_ENDPOINT=$PARADIME_API_ENDPOINT# Install Paradime Python SDK - pip install paradime-io==4.7.1 # Check for latest version of the Paradime Python SDK on https://github.com/paradime-io/paradime-python-sdk/releases
# Run the Paradime bolt schedule and wait for completion - paradime bolt run "continuous_deployment_run" --wait# Specify compute resources for this stepsize:2x# Double the default resources# Set maximum execution time in minutesmax-time:60# Define when and how pipelines should runpipelines:branches:# This pipeline will only run when changes are pushed to the main branchmain: - step:# Reference the template step defined above using YAML alias (*)<<:*paradime-continuous-deployment# Define environment variables needed for this step# These should be configured in Bitbucket repository settingsvariables:API_KEY:PARADIME_API_KEY# API key for Paradime authenticationAPI_SECRET:PARADIME_API_SECRET# API secret for Paradime authenticationAPI_ENDPOINT:PARADIME_API_ENDPOINT# Paradime API endpoint URL
Add the API keys and Credential in the BitBucket Pipeline variables
Finally you need to add the API key and credentials generated in the previous step in BitBucket Pipelines.
Set the corresponding values using your credentials for the variable names: