| |
| """ |
| Extra gRPC server for Rerankers models. |
| """ |
| from concurrent import futures |
|
|
| import argparse |
| import signal |
| import sys |
| import os |
|
|
| import time |
| import backend_pb2 |
| import backend_pb2_grpc |
|
|
| import grpc |
|
|
| from rerankers import Reranker |
|
|
| _ONE_DAY_IN_SECONDS = 60 * 60 * 24 |
|
|
| |
| MAX_WORKERS = int(os.environ.get('PYTHON_GRPC_MAX_WORKERS', '1')) |
|
|
| |
| class BackendServicer(backend_pb2_grpc.BackendServicer): |
| """ |
| A gRPC servicer for the backend service. |
| |
| This class implements the gRPC methods for the backend service, including Health, LoadModel, and Embedding. |
| """ |
| def Health(self, request, context): |
| """ |
| A gRPC method that returns the health status of the backend service. |
| |
| Args: |
| request: A HealthRequest object that contains the request parameters. |
| context: A grpc.ServicerContext object that provides information about the RPC. |
| |
| Returns: |
| A Reply object that contains the health status of the backend service. |
| """ |
| return backend_pb2.Reply(message=bytes("OK", 'utf-8')) |
|
|
| def LoadModel(self, request, context): |
| """ |
| A gRPC method that loads a model into memory. |
| |
| Args: |
| request: A LoadModelRequest object that contains the request parameters. |
| context: A grpc.ServicerContext object that provides information about the RPC. |
| |
| Returns: |
| A Result object that contains the result of the LoadModel operation. |
| """ |
| model_name = request.Model |
| try: |
| kwargs = {} |
| if request.Type != "": |
| kwargs['model_type'] = request.Type |
| if request.PipelineType != "": |
| kwargs['lang'] = request.PipelineType |
| self.model_name = model_name |
| self.model = Reranker(model_name, **kwargs) |
| except Exception as err: |
| return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}") |
|
|
| |
| |
| return backend_pb2.Result(message="Model loaded successfully", success=True) |
|
|
| def Rerank(self, request, context): |
| documents = [] |
| for idx, doc in enumerate(request.documents): |
| documents.append(doc) |
| ranked_results=self.model.rank(query=request.query, docs=documents, doc_ids=list(range(len(request.documents)))) |
| |
| cropped_results = ranked_results.top_k(request.top_n) if request.top_n > 0 else ranked_results |
| results = [ |
| backend_pb2.DocumentResult( |
| index=res.doc_id, |
| text=res.text, |
| relevance_score=res.score |
| ) for res in (cropped_results) |
| ] |
|
|
| |
| |
| total_tokens = sum(len(doc.split()) for doc in request.documents) + len(request.query.split()) |
| prompt_tokens = len(request.query.split()) |
| usage = backend_pb2.Usage(total_tokens=total_tokens, prompt_tokens=prompt_tokens) |
| return backend_pb2.RerankResult(usage=usage, results=results) |
|
|
| def serve(address): |
| server = grpc.server(futures.ThreadPoolExecutor(max_workers=MAX_WORKERS), |
| options=[ |
| ('grpc.max_message_length', 50 * 1024 * 1024), |
| ('grpc.max_send_message_length', 50 * 1024 * 1024), |
| ('grpc.max_receive_message_length', 50 * 1024 * 1024), |
| ]) |
| backend_pb2_grpc.add_BackendServicer_to_server(BackendServicer(), server) |
| server.add_insecure_port(address) |
| server.start() |
| print("Server started. Listening on: " + address, file=sys.stderr) |
|
|
| |
| def signal_handler(sig, frame): |
| print("Received termination signal. Shutting down...") |
| server.stop(0) |
| sys.exit(0) |
|
|
| |
| signal.signal(signal.SIGINT, signal_handler) |
| signal.signal(signal.SIGTERM, signal_handler) |
|
|
| try: |
| while True: |
| time.sleep(_ONE_DAY_IN_SECONDS) |
| except KeyboardInterrupt: |
| server.stop(0) |
|
|
| if __name__ == "__main__": |
| parser = argparse.ArgumentParser(description="Run the gRPC server.") |
| parser.add_argument( |
| "--addr", default="localhost:50051", help="The address to bind the server to." |
| ) |
| args = parser.parse_args() |
|
|
| serve(args.addr) |
|
|