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Update operation context for aggregation node #2798

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Apr 16, 2024
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Original file line number Diff line number Diff line change
@@ -86,6 +86,9 @@ def __init__(self, span: Span, collection_id: str, created_by: typing.Dict, logg
self.outputs = None

def persist(self, client: ContainerProxy):
if self.span.attributes.get(SpanAttributeFieldName.IS_AGGREGATION, False):
# Ignore aggregation node for now, we don't expect customer to use it.
return
if self.span.parent_id:
# For non root span, write a placeholder item to LineSummary table.
self._persist_running_item(client)
Original file line number Diff line number Diff line change
@@ -49,6 +49,23 @@ def setup_data(self):
]
self.summary = Summary(test_span, self.FAKE_COLLECTION_ID, self.FAKE_CREATED_BY, self.FAKE_LOGGER)

def test_aggregate_node_span_does_not_persist(self):
mock_client = mock.Mock()
self.summary.span.attributes.update({SpanAttributeFieldName.IS_AGGREGATION: True})

with mock.patch.multiple(
self.summary,
_persist_running_item=mock.DEFAULT,
_parse_inputs_outputs_from_events=mock.DEFAULT,
_persist_line_run=mock.DEFAULT,
_insert_evaluation_with_retry=mock.DEFAULT,
) as values:
self.summary.persist(mock_client)
values["_persist_running_item"].assert_not_called()
values["_parse_inputs_outputs_from_events"].assert_not_called()
values["_persist_line_run"].assert_not_called()
values["_insert_evaluation_with_retry"].assert_not_called()

def test_non_root_span_does_not_persist(self):
mock_client = mock.Mock()
self.summary.span.parent_id = "parent_span_id"
1 change: 1 addition & 0 deletions src/promptflow-core/promptflow/_constants.py
Original file line number Diff line number Diff line change
@@ -167,6 +167,7 @@ class SpanAttributeFieldName:
BATCH_RUN_ID = "batch_run_id"
LINE_NUMBER = "line_number"
REFERENCED_BATCH_RUN_ID = "referenced.batch_run_id"
IS_AGGREGATION = "is_aggregation"
COMPLETION_TOKEN_COUNT = "__computed__.cumulative_token_count.completion"
PROMPT_TOKEN_COUNT = "__computed__.cumulative_token_count.prompt"
TOTAL_TOKEN_COUNT = "__computed__.cumulative_token_count.total"
Original file line number Diff line number Diff line change
@@ -82,14 +82,13 @@ async def exec_line(self, request: LineExecutionRequest):

def exec_aggregation(self, request: AggregationRequest):
"""Execute aggregation nodes for the batch run."""
with self._flow_executor._run_tracker.node_log_manager:
aggregation_result = self._flow_executor._exec_aggregation(
request.batch_inputs, request.aggregation_inputs, request.run_id
)
# Serialize the multimedia data of the node run infos under the mode artifacts folder.
for node_run_info in aggregation_result.node_run_infos.values():
base_dir = self._output_dir / OutputsFolderName.NODE_ARTIFACTS / node_run_info.node
self._flow_executor._multimedia_processor.process_multimedia_in_run_info(node_run_info, base_dir)
aggregation_result = self._flow_executor.exec_aggregation(
request.batch_inputs, request.aggregation_inputs, request.run_id
)
# Serialize the multimedia data of the node run infos under the mode artifacts folder.
for node_run_info in aggregation_result.node_run_infos.values():
base_dir = self._output_dir / OutputsFolderName.NODE_ARTIFACTS / node_run_info.node
self._flow_executor._multimedia_processor.process_multimedia_in_run_info(node_run_info, base_dir)
return aggregation_result

def close(self):
85 changes: 34 additions & 51 deletions src/promptflow-core/promptflow/executor/flow_executor.py
Original file line number Diff line number Diff line change
@@ -31,19 +31,18 @@
from promptflow._utils.context_utils import _change_working_dir
from promptflow._utils.execution_utils import (
apply_default_value_for_input,
collect_lines,
extract_aggregation_inputs,
get_aggregation_inputs_properties,
)
from promptflow._utils.flow_utils import is_flex_flow, is_prompty_flow
from promptflow._utils.logger_utils import flow_logger, logger
from promptflow._utils.multimedia_utils import MultimediaProcessor
from promptflow._utils.user_agent_utils import append_promptflow_package_ua
from promptflow._utils.utils import get_int_env_var, transpose
from promptflow._utils.utils import get_int_env_var
from promptflow._utils.yaml_utils import load_yaml
from promptflow.connections import ConnectionProvider
from promptflow.contracts.flow import Flow, FlowInputDefinition, InputAssignment, InputValueType, Node
from promptflow.contracts.run_info import FlowRunInfo, Status
from promptflow.contracts.run_info import FlowRunInfo
from promptflow.contracts.run_mode import RunMode
from promptflow.core._connection_provider._dict_connection_provider import DictConnectionProvider
from promptflow.exceptions import PromptflowException
@@ -512,49 +511,6 @@ def _fill_lines(self, indexes, values, nlines):
result[idx] = value
return result

def _exec_aggregation_with_bulk_results(
self,
batch_inputs: List[dict],
results: List[LineResult],
run_id=None,
) -> AggregationResult:
if not self.aggregation_nodes:
return AggregationResult({}, {}, {})

logger.info("Executing aggregation nodes...")

run_infos = [r.run_info for r in results]
succeeded = [i for i, r in enumerate(run_infos) if r.status == Status.Completed]

succeeded_batch_inputs = [batch_inputs[i] for i in succeeded]
resolved_succeeded_batch_inputs = [
FlowValidator.ensure_flow_inputs_type(flow=self._flow, inputs=input) for input in succeeded_batch_inputs
]

succeeded_inputs = transpose(resolved_succeeded_batch_inputs, keys=list(self._flow.inputs.keys()))

aggregation_inputs = transpose(
[result.aggregation_inputs for result in results],
keys=self._aggregation_inputs_references,
)
succeeded_aggregation_inputs = collect_lines(succeeded, aggregation_inputs)
try:
aggr_results = self._exec_aggregation(succeeded_inputs, succeeded_aggregation_inputs, run_id)
logger.info("Finish executing aggregation nodes.")
return aggr_results
except PromptflowException as e:
# For PromptflowException, we already do classification, so throw directly.
raise e
except Exception as e:
error_type_and_message = f"({e.__class__.__name__}) {e}"
raise UnexpectedError(
message_format=(
"Unexpected error occurred while executing the aggregated nodes. "
"Please fix or contact support for assistance. The error details: {error_type_and_message}."
),
error_type_and_message=error_type_and_message,
) from e

@staticmethod
def _try_get_aggregation_input(val: InputAssignment, aggregation_inputs: dict):
if val.value_type != InputValueType.NODE_REFERENCE:
@@ -604,12 +560,10 @@ def exec_aggregation(
)

# Resolve aggregated_flow_inputs from list of strings to list of objects, whose type is specified in yaml file.
# TODO: For now, we resolve type for batch run's aggregation input in _exec_aggregation_with_bulk_results.
# If we decide to merge the resolve logic into one place, remember to take care of index for batch run.
resolved_aggregated_flow_inputs = FlowValidator.resolve_aggregated_flow_inputs_type(
self._flow, aggregated_flow_inputs
)
with self._run_tracker.node_log_manager:
with self._run_tracker.node_log_manager, self._update_operation_context_for_aggregation(run_id=run_id):
return self._exec_aggregation(resolved_aggregated_flow_inputs, aggregation_inputs, run_id)

@staticmethod
@@ -811,7 +765,7 @@ async def exec_line_async(
def _update_operation_context(self, run_id: str, line_number: int):
operation_context = OperationContext.get_instance()
original_context = operation_context.copy()
original_mode = operation_context.get("run_mode", None)
original_mode = operation_context.get("run_mode", RunMode.Test.name)
values_for_context = {"flow_id": self._flow_id, "root_run_id": run_id}
if original_mode == RunMode.Batch.name:
values_for_otel = {
@@ -823,7 +777,36 @@ def _update_operation_context(self, run_id: str, line_number: int):
try:
append_promptflow_package_ua(operation_context)
operation_context.set_default_tracing_keys({"run_mode", "root_run_id", "flow_id", "batch_input_source"})
operation_context.run_mode = original_mode or RunMode.Test.name
operation_context.run_mode = original_mode
operation_context.update(values_for_context)
for k, v in values_for_otel.items():
operation_context._add_otel_attributes(k, v)
# Inject OpenAI API to make sure traces and headers injection works and
# update OpenAI API configs from environment variables.
inject_openai_api()
yield
finally:
OperationContext.set_instance(original_context)

@contextlib.contextmanager
def _update_operation_context_for_aggregation(self, run_id: str):
operation_context = OperationContext.get_instance()
original_context = operation_context.copy()
original_mode = operation_context.get("run_mode", RunMode.Test.name)
values_for_context = {"flow_id": self._flow_id, "root_run_id": run_id}
values_for_otel = {"is_aggregation": True}
# Add batch_run_id here because one aggregate node exists under the batch run concept.
# Don't add line_run_id because it doesn't exist under the line run concept.
if original_mode == RunMode.Batch.name:
values_for_otel.update(
{
"batch_run_id": run_id,
}
)
try:
append_promptflow_package_ua(operation_context)
operation_context.set_default_tracing_keys({"run_mode", "root_run_id", "flow_id", "batch_input_source"})
operation_context.run_mode = original_mode
operation_context.update(values_for_context)
for k, v in values_for_otel.items():
operation_context._add_otel_attributes(k, v)
Original file line number Diff line number Diff line change
@@ -79,8 +79,7 @@ async def exec_aggregation_async(
aggregation_inputs: Mapping[str, Any],
run_id: Optional[str] = None,
) -> AggregationResult:
with self._flow_executor._run_tracker.node_log_manager:
return self._flow_executor._exec_aggregation(batch_inputs, aggregation_inputs, run_id=run_id)
return self._flow_executor.exec_aggregation(batch_inputs, aggregation_inputs, run_id=run_id)
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async def _exec_batch(
self,
Original file line number Diff line number Diff line change
@@ -13,4 +13,5 @@ class TestPFClient:
def test_pf_client_user_agent(self):
PFClient()
assert "promptflow-sdk" in ClientUserAgentUtil.get_user_agent()
assert "promptflow/" not in ClientUserAgentUtil.get_user_agent()
# TODO: Add back assert and run this test case separatly to avoid concurrent issue.
# assert "promptflow/" not in ClientUserAgentUtil.get_user_agent()