Revert "refactor loopblock value" (#1380)

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Shuchang Zheng 2024-12-12 10:06:06 -08:00 committed by GitHub
parent 0a6a2d8d33
commit f5691d5742
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4 changed files with 26 additions and 87 deletions

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@ -47,10 +47,8 @@ from skyvern.forge.sdk.db.enums import TaskType
from skyvern.forge.sdk.schemas.tasks import Task, TaskOutput, TaskStatus
from skyvern.forge.sdk.workflow.context_manager import BlockMetadata, WorkflowRunContext
from skyvern.forge.sdk.workflow.exceptions import (
FailedToFormatJinjaStyleParameter,
InvalidEmailClientConfiguration,
InvalidFileType,
NoIterableValueFound,
NoValidEmailRecipient,
)
from skyvern.forge.sdk.workflow.models.parameter import (
@ -578,17 +576,14 @@ class LoopBlockExecutedResult(BaseModel):
class ForLoopBlock(Block):
block_type: Literal[BlockType.FOR_LOOP] = BlockType.FOR_LOOP
loop_over: PARAMETER_TYPE | None
loop_variable_reference: str | None
loop_over: PARAMETER_TYPE
loop_blocks: list[BlockTypeVar]
def get_all_parameters(
self,
workflow_run_id: str,
) -> list[PARAMETER_TYPE]:
parameters = set()
if self.loop_over is not None:
parameters.add(self.loop_over)
parameters = {self.loop_over}
for loop_block in self.loop_blocks:
for parameter in loop_block.get_all_parameters(workflow_run_id):
@ -605,9 +600,6 @@ class ForLoopBlock(Block):
if isinstance(parameter, ContextParameter):
context_parameters.append(parameter)
if self.loop_over is None:
return context_parameters
for context_parameter in context_parameters:
if context_parameter.source.key != self.loop_over.key:
continue
@ -628,44 +620,29 @@ class ForLoopBlock(Block):
return context_parameters
def get_loop_over_parameter_values(self, workflow_run_context: WorkflowRunContext) -> list[Any]:
# parse the value from self.loop_variable_reference and then from self.loop_over
if self.loop_variable_reference:
value_template = f'{{{{ {self.loop_variable_reference.strip(" {}")} | tojson }}}}'
try:
value_json = self.format_block_parameter_template_from_workflow_run_context(
value_template, workflow_run_context
)
except Exception as e:
raise FailedToFormatJinjaStyleParameter(value_template, str(e))
parameter_value = json.loads(value_json)
elif self.loop_over is not None:
if isinstance(self.loop_over, WorkflowParameter):
parameter_value = workflow_run_context.get_value(self.loop_over.key)
elif isinstance(self.loop_over, OutputParameter):
# If the output parameter is for a TaskBlock, it will be a TaskOutput object. We need to extract the
# value from the TaskOutput object's extracted_information field.
output_parameter_value = workflow_run_context.get_value(self.loop_over.key)
if isinstance(output_parameter_value, dict) and "extracted_information" in output_parameter_value:
parameter_value = output_parameter_value["extracted_information"]
else:
parameter_value = output_parameter_value
elif isinstance(self.loop_over, ContextParameter):
parameter_value = self.loop_over.value
if not parameter_value:
source_parameter_value = workflow_run_context.get_value(self.loop_over.source.key)
if isinstance(source_parameter_value, dict):
if "extracted_information" in source_parameter_value:
parameter_value = source_parameter_value["extracted_information"].get(self.loop_over.key)
else:
parameter_value = source_parameter_value.get(self.loop_over.key)
else:
raise ValueError("ContextParameter source value should be a dict")
if isinstance(self.loop_over, WorkflowParameter):
parameter_value = workflow_run_context.get_value(self.loop_over.key)
elif isinstance(self.loop_over, OutputParameter):
# If the output parameter is for a TaskBlock, it will be a TaskOutput object. We need to extract the
# value from the TaskOutput object's extracted_information field.
output_parameter_value = workflow_run_context.get_value(self.loop_over.key)
if isinstance(output_parameter_value, dict) and "extracted_information" in output_parameter_value:
parameter_value = output_parameter_value["extracted_information"]
else:
raise NotImplementedError()
parameter_value = output_parameter_value
elif isinstance(self.loop_over, ContextParameter):
parameter_value = self.loop_over.value
if not parameter_value:
source_parameter_value = workflow_run_context.get_value(self.loop_over.source.key)
if isinstance(source_parameter_value, dict):
if "extracted_information" in source_parameter_value:
parameter_value = source_parameter_value["extracted_information"].get(self.loop_over.key)
else:
parameter_value = source_parameter_value.get(self.loop_over.key)
else:
raise ValueError("ContextParameter source value should be a dict")
else:
raise NoIterableValueFound()
raise NotImplementedError
if isinstance(parameter_value, list):
return parameter_value
@ -748,15 +725,7 @@ class ForLoopBlock(Block):
async def execute(self, workflow_run_id: str, **kwargs: dict) -> BlockResult:
workflow_run_context = self.get_workflow_run_context(workflow_run_id)
try:
loop_over_values = self.get_loop_over_parameter_values(workflow_run_context)
except Exception as e:
return self.build_block_result(
success=False,
failure_reason=f"failed to get loop values: {str(e)}",
status=BlockStatus.failed,
)
loop_over_values = self.get_loop_over_parameter_values(workflow_run_context)
LOG.info(
f"Number of loop_over values: {len(loop_over_values)}",
block_type=self.block_type,