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can i create the automation using python code

yes!

deploy this using terraform

yes!

Got it — you’re creating the same Prefect Automation from both Python and Terraform at the same time. Short answer: don’t do that. You’ll get drift and last‑write‑wins behavior. Pick one tool to be the source of truth for each resource. Recommended patterns: - If Terraform should own Automations (most common) - Stop creating/updating that Automation in Python. - Import the existing Automation into Terraform state, then manage it only via Terraform going forward. - Use Python only for runtime actions (triggering flow runs, querying state), not for changing the Automation spec. - If Python should own Automations - Don’t define that Automation as a Terraform resource. If you need to reference it in Terraform, use a data source instead of a resource. - Keep Terraform focused on infra (work pools, variables, service accounts, etc.). How to import an existing Automation into Terraform:

# If the automation is in your current workspace
terraform import prefect_automation.my_auto "automation-id-uuid"

# If it lives in another workspace
terraform import prefect_automation.my_auto "automation-id-uuid,workspace-id-uuid"

Example Terraform Automation (runs a deployment when a custom event arrives):

resource "prefect_automation" "webhook_trigger" {
  name        = "webhook-triggered-deployment"
  description = "Runs deployment on external webhook event"
  enabled     = true

  trigger = {
    event = {
      posture  = "Reactive"
      expect   = ["external.event.happened"]
      match    = jsonencode({ "prefect.resource.id" = "prefect.flow-run.*" })
      threshold = 1
      within    = 0
    }
  }

  actions = [
    {
      type          = "run-deployment"
      source        = "selected"
      deployment_id = prefect_deployment.example_deployment.id
      parameters    = jsonencode({})
    }
  ]
}

Tips to avoid conflicts: - One owner per resource: Terraform OR Python, not both. - If switching ownership to Terraform, import existing resources and remove Python code that mutates them. - Use Terraform for stable config (Automations, Work Pools, Variables, Service Accounts). Use Python for runtime behavior (trigger runs, read state). - If you absolutely must mix, consider Terraform

lifecycle { ignore_changes = [...] }

for specific fields — but this weakens IaC guarantees. Useful links: - Provider docs: Terraform Registry: Prefect provider - Automation resource docs: prefect_automation - Examples: provider examples - API parity tracker: API parity matrix - Prefect IaC guidance (Prefect 3.x): Infrastructure as Code with Prefect If you share how you’re defining the Automation in Python (trigger + actions), I can translate it into a Terraform resource for you and outline the exact import steps for your workspace.