PaddleSpeech/paddlespeech/server/restful/cls_api.py

# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import base64
import sys
import traceback
from typing import Union

from fastapi import APIRouter

from paddlespeech.cli.log import logger
from paddlespeech.server.engine.engine_pool import get_engine_pool
from paddlespeech.server.restful.request import CLSRequest
from paddlespeech.server.restful.response import CLSResponse
from paddlespeech.server.restful.response import ErrorResponse
from paddlespeech.server.utils.errors import ErrorCode
from paddlespeech.server.utils.errors import failed_response
from paddlespeech.server.utils.exception import ServerBaseException

router = APIRouter()


@router.get('/paddlespeech/cls/help')
def help():
    """help

    Returns:
        json: [description]
    """
    response = {
        "success": "True",
        "code": 200,
        "message": {
            "global": "success"
        },
        "result": {
            "description": "cls server",
            "input": "base64 string of wavfile",
            "output": "classification result"
        }
    }
    return response


@router.post(
    "/paddlespeech/cls", response_model=Union[CLSResponse, ErrorResponse])
def cls(request_body: CLSRequest):
    """cls api 

    Args:
        request_body (CLSRequest): [description]

    Returns:
        json: [description]
    """
    try:
        audio_data = base64.b64decode(request_body.audio)

        # get single engine from engine pool
        engine_pool = get_engine_pool()
        cls_engine = engine_pool['cls']

        if cls_engine.engine_type == "python":
            from paddlespeech.server.engine.cls.python.cls_engine import PaddleCLSConnectionHandler
        elif cls_engine.engine_type == "inference":
            from paddlespeech.server.engine.cls.paddleinference.cls_engine import PaddleCLSConnectionHandler
        else:
            logger.error("Offline cls engine only support python or inference.")
            sys.exit(-1)

        connection_handler = PaddleCLSConnectionHandler(cls_engine)

        connection_handler.run(audio_data)
        cls_results = connection_handler.postprocess(request_body.topk)

        response = {
            "success": True,
            "code": 200,
            "message": {
                "description": "success"
            },
            "result": {
                "topk": request_body.topk,
                "results": cls_results
            }
        }

    except ServerBaseException as e:
        response = failed_response(e.error_code, e.msg)
        logger.error(e)
        sys.exit(-1)
    except Exception as e:
        response = failed_response(ErrorCode.SERVER_UNKOWN_ERR)
        logger.error(e)
        traceback.print_exc()

    return response