QingLong/AI/B2_WavToText.py

# -*- coding: utf-8 -*-
import json
import time
from typing import Dict, Tuple

from aliyunsdkcore.acs_exception.exceptions import ClientException, ServerException
from aliyunsdkcore.client import AcsClient
from aliyunsdkcore.request import CommonRequest
from Config import *
# 服务常量配置
CONFIG = {
    "REGION_ID": "cn-shanghai",
    "PRODUCT": "nls-filetrans",
    "DOMAIN": "filetrans.cn-shanghai.aliyuncs.com",
    "API_VERSION": "2018-08-17",
    "MAX_RETRIES": 20,
    "POLL_INTERVAL": 10
}


class TranscriptionError(Exception):
    """自定义语音识别异常基类"""
    pass


class APIConnectionError(TranscriptionError):
    """API连接异常"""
    pass


class TaskSubmissionError(TranscriptionError):
    """任务提交异常"""
    pass


class TaskTimeoutError(TranscriptionError):
    """任务超时异常"""
    pass


def submit_transcription_task(client: AcsClient, app_key: str, file_link: str) -> str:
    """提交语音识别任务

    :param client: 阿里云客户端实例
    :param app_key: 应用密钥
    :param file_link: 音频文件URL
    :return: 任务ID
    :raises TaskSubmissionError: 任务提交失败时抛出
    """
    task_config = {
        "appkey": app_key,
        "file_link": file_link,
        "version": "4.0",
        "enable_words": False
    }

    request = CommonRequest()
    request.set_domain(CONFIG["DOMAIN"])
    request.set_version(CONFIG["API_VERSION"])
    request.set_product(CONFIG["PRODUCT"])
    request.set_action_name("SubmitTask")
    request.set_method('POST')
    request.add_body_params("Task", json.dumps(task_config))

    try:
        response = client.do_action_with_exception(request)
        response_data = json.loads(response)

        if response_data.get("StatusText") != "SUCCESS":
            raise TaskSubmissionError(f"任务提交失败: {response_data.get('StatusText', '未知错误')}")

        return response_data["TaskId"]

    except (ServerException, ClientException) as e:
        raise APIConnectionError(f"API连接异常: {str(e)}") from e
    except KeyError as e:
        raise TaskSubmissionError("响应缺少TaskId字段") from e


def poll_transcription_result(client: AcsClient, task_id: str) -> Dict:
    """轮询识别任务结果

    :param client: 阿里云客户端实例
    :param task_id: 任务ID
    :return: 识别结果字典
    :raises TaskTimeoutError: 超时未完成时抛出
    """
    request = CommonRequest()
    request.set_domain(CONFIG["DOMAIN"])
    request.set_version(CONFIG["API_VERSION"])
    request.set_product(CONFIG["PRODUCT"])
    request.set_action_name("GetTaskResult")
    request.set_method('GET')
    request.add_query_param("TaskId", task_id)

    retries = 0
    while retries < CONFIG["MAX_RETRIES"]:
        try:
            response = client.do_action_with_exception(request)
            result = json.loads(response)
            status = result.get("StatusText", "")

            if status == "SUCCESS":
                return result.get("Result", {})
            if status in ("RUNNING", "QUEUEING"):
                time.sleep(CONFIG["POLL_INTERVAL"])
                retries += 1
            else:
                raise TaskSubmissionError(f"识别失败，状态: {status}")

        except (ServerException, ClientException) as e:
            raise APIConnectionError(f"查询异常: {str(e)}") from e

    raise TaskTimeoutError(f"超过最大重试次数({CONFIG['MAX_RETRIES']})，任务未完成")


def save_transcription_result(result: Dict, output_path: Path) -> Path:
    """保存识别结果到文件

    :param result: 识别结果字典
    :param output_path: 输出文件路径
    :return: 实际保存路径
    :raises IOError: 文件保存失败时抛出
    """
    if not result.get('Sentences'):
        raise ValueError("识别结果为空")

    try:
        output_path.parent.mkdir(parents=True, exist_ok=True)
        output_path.write_text(str(result['Sentences']), encoding='utf-8')
        return output_path.resolve()
    except (IOError, PermissionError) as e:
        raise IOError(f"文件保存失败: {str(e)}") from e


def transcribe_audio_file(
        access_key_id: str,
        access_key_secret: str,
        app_key: str,
        audio_url: str,
        output_path: Path = Path("识别结果.txt")
) -> Tuple[bool, Path, str]:
    """语音识别主流程

    :param access_key_id: 阿里云访问密钥ID
    :param access_key_secret: 阿里云访问密钥
    :param app_key: 应用密钥
    :param audio_url: 音频文件URL
    :param output_path: 输出文件路径
    :return: (成功标志, 输出路径, 错误信息)
    """
    client = AcsClient(access_key_id, access_key_secret, CONFIG["REGION_ID"])

    try:
        task_id = submit_transcription_task(client, app_key, audio_url)
        print(f"任务已提交，ID: {task_id}")

        result = poll_transcription_result(client, task_id)
        saved_path = save_transcription_result(result, output_path)

        return True, saved_path, ""

    except TranscriptionError as e:
        return False, Path(), str(e)
    except Exception as e:
        return False, Path(), f"未处理的异常: {str(e)}"

def ShiBie(audio_url, output_path):
    # 配置参数（应通过环境变量或配置文件获取）
    CREDENTIALS = {
        "access_key_id": ALY_AK,
        "access_key_secret": ALY_SK,
        "app_key": "OIpiw501l4o6MYEe",
        "audio_url":audio_url,
        "output_path": output_path
    }

    # 执行识别
    success, path, error = transcribe_audio_file(**CREDENTIALS)

    if success:
        print(f"✅ 识别成功，文件已保存至: {path}")
    else:
        print(f"❌ 识别失败: {error}")
        exit(1)