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chore: import upstream snapshot with attribution
2026-07-13 13:39:52 +08:00

31 lines
1.1 KiB
Python

from promptflow.core import tool
# Validate the metric's inputs.
def is_valid(metric):
return True
@tool
def validate_input(chat_history: list, selected_metrics: dict) -> dict:
dict_metric_required_fields = {"answer_relevance": set(["question", "answer"]),
"conversation_quality": set(["question", "answer"]),
"creativity": set(["question", "answer"]),
"grounding": set(["answer", "context"])}
actual_input_cols = set()
for item in chat_history:
actual_input_cols.update(set(item["inputs"].keys()))
actual_input_cols.update(set(item["outputs"].keys()))
break
data_validation = selected_metrics
for metric in selected_metrics:
if selected_metrics[metric]:
metric_required_fields = dict_metric_required_fields[metric]
if metric_required_fields <= actual_input_cols:
data_validation[metric] = True
else:
print("this path")
data_validation[metric] = False
return data_validation