script gen post action (#3480)
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188
skyvern/services/workflow_script_service.py
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188
skyvern/services/workflow_script_service.py
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import base64
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import structlog
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from jinja2.sandbox import SandboxedEnvironment
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from skyvern.core.script_generations.generate_script import generate_workflow_script_python_code
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from skyvern.core.script_generations.transform_workflow_run import transform_workflow_run_to_code_gen_input
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from skyvern.forge import app
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from skyvern.forge.sdk.core import skyvern_context
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from skyvern.forge.sdk.workflow.models.workflow import Workflow, WorkflowRun
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from skyvern.schemas.scripts import FileEncoding, Script, ScriptFileCreate, ScriptStatus
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from skyvern.services import script_service
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LOG = structlog.get_logger()
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jinja_sandbox_env = SandboxedEnvironment()
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async def generate_or_update_draft_workflow_script(
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workflow_run: WorkflowRun,
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workflow: Workflow,
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) -> None:
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organization_id = workflow.organization_id
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context = skyvern_context.current()
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if not context:
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return
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script_id = context.script_id
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script = None
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if script_id:
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script = await app.DATABASE.get_script(script_id=script_id, organization_id=organization_id)
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if not script:
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script = await app.DATABASE.create_script(organization_id=organization_id, run_id=workflow_run.workflow_run_id)
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if context:
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context.script_id = script.script_id
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context.script_revision_id = script.script_revision_id
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_, rendered_cache_key_value = await get_workflow_script(
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workflow=workflow,
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workflow_run=workflow_run,
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status=ScriptStatus.pending,
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)
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await generate_workflow_script(
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workflow_run=workflow_run,
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workflow=workflow,
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script=script,
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rendered_cache_key_value=rendered_cache_key_value,
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draft=True,
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)
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async def get_workflow_script(
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workflow: Workflow,
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workflow_run: WorkflowRun,
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block_labels: list[str] | None = None,
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status: ScriptStatus = ScriptStatus.published,
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) -> tuple[Script | None, str]:
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"""
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Check if there's a related workflow script that should be used instead of running the workflow.
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Returns the tuple of (script, rendered_cache_key_value).
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"""
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cache_key = workflow.cache_key or ""
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rendered_cache_key_value = ""
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if not workflow.generate_script:
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return None, rendered_cache_key_value
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if block_labels:
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# Do not generate script or run script if block_labels is provided
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return None, rendered_cache_key_value
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try:
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parameter_tuples = await app.DATABASE.get_workflow_run_parameters(
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workflow_run_id=workflow_run.workflow_run_id,
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)
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parameters = {wf_param.key: run_param.value for wf_param, run_param in parameter_tuples}
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rendered_cache_key_value = jinja_sandbox_env.from_string(cache_key).render(parameters)
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# Check if there are existing cached scripts for this workflow + cache_key_value
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existing_scripts = await app.DATABASE.get_workflow_scripts_by_cache_key_value(
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organization_id=workflow.organization_id,
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workflow_permanent_id=workflow.workflow_permanent_id,
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cache_key_value=rendered_cache_key_value,
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statuses=[status],
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)
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if existing_scripts:
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LOG.info(
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"Found cached script for workflow",
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workflow_id=workflow.workflow_id,
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cache_key_value=rendered_cache_key_value,
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workflow_run_id=workflow_run.workflow_run_id,
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script_count=len(existing_scripts),
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)
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return existing_scripts[0], rendered_cache_key_value
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return None, rendered_cache_key_value
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except Exception as e:
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LOG.warning(
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"Failed to check for workflow script, proceeding with normal workflow execution",
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workflow_id=workflow.workflow_id,
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workflow_run_id=workflow_run.workflow_run_id,
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error=str(e),
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exc_info=True,
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)
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return None, rendered_cache_key_value
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async def generate_workflow_script(
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workflow_run: WorkflowRun,
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workflow: Workflow,
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script: Script,
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rendered_cache_key_value: str,
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draft: bool = False,
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) -> None:
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try:
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LOG.info(
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"Generating script for workflow",
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workflow_run_id=workflow_run.workflow_run_id,
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workflow_id=workflow.workflow_id,
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workflow_name=workflow.title,
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cache_key_value=rendered_cache_key_value,
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)
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codegen_input = await transform_workflow_run_to_code_gen_input(
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workflow_run_id=workflow_run.workflow_run_id,
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organization_id=workflow.organization_id,
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)
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python_src = await generate_workflow_script_python_code(
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file_name=codegen_input.file_name,
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workflow_run_request=codegen_input.workflow_run,
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workflow=codegen_input.workflow,
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blocks=codegen_input.workflow_blocks,
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actions_by_task=codegen_input.actions_by_task,
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task_v2_child_blocks=codegen_input.task_v2_child_blocks,
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organization_id=workflow.organization_id,
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script_id=script.script_id,
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script_revision_id=script.script_revision_id,
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draft=draft,
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)
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except Exception:
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LOG.error("Failed to generate workflow script source", exc_info=True)
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return
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# 4) Persist script and files, then record mapping
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content_bytes = python_src.encode("utf-8")
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content_b64 = base64.b64encode(content_bytes).decode("utf-8")
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files = [
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ScriptFileCreate(
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path="main.py",
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content=content_b64,
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encoding=FileEncoding.BASE64,
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mime_type="text/x-python",
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)
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]
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# Upload script file(s) as artifacts and create rows
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await script_service.build_file_tree(
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files=files,
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organization_id=workflow.organization_id,
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script_id=script.script_id,
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script_version=script.version,
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script_revision_id=script.script_revision_id,
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draft=draft,
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)
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# check if an existing drfat workflow script exists for this workflow run
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existing_draft_workflow_script = None
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status = ScriptStatus.published
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if draft:
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status = ScriptStatus.pending
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existing_draft_workflow_script = await app.DATABASE.get_workflow_script(
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organization_id=workflow.organization_id,
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workflow_permanent_id=workflow.workflow_permanent_id,
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workflow_run_id=workflow_run.workflow_run_id,
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statuses=[status],
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)
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if not existing_draft_workflow_script:
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# Record the workflow->script mapping for cache lookup
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await app.DATABASE.create_workflow_script(
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organization_id=workflow.organization_id,
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script_id=script.script_id,
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workflow_permanent_id=workflow.workflow_permanent_id,
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cache_key=workflow.cache_key or "",
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cache_key_value=rendered_cache_key_value,
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workflow_id=workflow.workflow_id,
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workflow_run_id=workflow_run.workflow_run_id,
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status=status,
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)
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