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

54 lines
1.3 KiB
Python

"""Test script for the chat-with-pdf MAF workflow."""
import asyncio
from dotenv import load_dotenv
load_dotenv()
from workflow import PdfChatInput, create_workflow # noqa: E402
async def test_single_turn():
print("--- single turn ---")
workflow = create_workflow()
result = await workflow.run(
PdfChatInput(
question="What is BERT?",
pdf_url="https://arxiv.org/pdf/1810.04805.pdf",
)
)
output = result.get_outputs()[0]
print(f"Answer: {output['answer']}")
print(f"Context: {output['context']}")
async def test_multi_turn():
print("\n--- multi turn ---")
history = [
{
"inputs": {"question": "What is BERT?"},
"outputs": {"answer": "BERT is a language model by Google."},
}
]
workflow = create_workflow()
result = await workflow.run(
PdfChatInput(
question="How was it trained?",
pdf_url="https://arxiv.org/pdf/1810.04805.pdf",
chat_history=history,
)
)
output = result.get_outputs()[0]
print(f"Answer: {output['answer']}")
print(f"Context: {output['context']}")
async def main():
await test_single_turn()
await test_multi_turn()
if __name__ == "__main__":
asyncio.run(main())