| 92 | |
| 93 | @app.post("/batch_search", response_model=Union[List[List[Document]], Tuple[List[List[Document]], List[List[float]]]]) |
| 94 | async def batch_search(request: BatchQueryRequest): |
| 95 | query = request.query |
| 96 | top_n = request.top_n |
| 97 | return_score = request.return_score |
| 98 | |
| 99 | async with retriever_semaphore: |
| 100 | async with retriever_lock: |
| 101 | retriever_idx = available_retrievers.popleft() |
| 102 | try: |
| 103 | loop = asyncio.get_event_loop() |
| 104 | with ThreadPoolExecutor() as executor: |
| 105 | if return_score: |
| 106 | results, scores = await loop.run_in_executor( |
| 107 | executor, |
| 108 | retriever_list[retriever_idx].batch_search, |
| 109 | query, top_n, return_score |
| 110 | ) |
| 111 | return [[Document(id=result['id'], contents=result['contents']) for result in results[i]] for i in range(len(results))], scores |
| 112 | else: |
| 113 | results = await loop.run_in_executor( |
| 114 | executor, |
| 115 | retriever_list[retriever_idx].batch_search, |
| 116 | query, top_n, return_score |
| 117 | ) |
| 118 | return [[Document(id=result['id'], contents=result['contents']) for result in results[i]] for i in range(len(results))] |
| 119 | finally: |
| 120 | async with retriever_lock: |
| 121 | available_retrievers.append(retriever_idx) |
| 122 | |
| 123 | if __name__ == "__main__": |
| 124 | parser = argparse.ArgumentParser() |