合并多个更新 (#68)

* 🐳 chore: 优化打包速度

使用国内镜像

* 🎈 perf: 优化打包速度

注释日志的时间信息

* 🐳 chore: 改用docker hub

* 🐎 ci(ci): 自动打包docker

* 🐳 chore: 更新文档

* 🎈 perf: 改用opuslib_next

* 🌈 style: 统一log

.github/workflows/docker-image.yml

@@ -0,0 +1,46 @@
+name: Docker Image CI
+
+on:
+  push:
+    tags:
+      - 'v*.*.*'  # 只在以 v 开头的标签推送时触发，例如 v1.0.0
+
+jobs:
+  release:
+    name: Release Docker image
+    runs-on: ubuntu-latest
+    permissions:
+      packages: write
+      contents: write
+      id-token: write
+      issues: write
+
+    steps:
+      - name: Check out the repo
+        uses: actions/checkout@v4
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Log in to the GitHub Container Registry
+        uses: docker/login-action@v3
+        with:
+          registry: ghcr.io
+          username: ${{ github.actor }}
+          password: ${{ secrets.TOKEN }}
+
+      - name: Extract version from tag
+        id: get_version
+        run: |
+          echo "VERSION=${GITHUB_REF#refs/tags/}" >> $GITHUB_ENV
+
+      - name: Build and push Docker image
+        id: build_push
+        uses: docker/build-push-action@v6
+        with:
+          context: .
+          push: true
+          tags: |
+            ghcr.io/${{ github.repository }}:${{ env.VERSION }}
+            ghcr.io/${{ github.repository }}:latest
+          platforms: linux/amd64,linux/arm64

Dockerfile

@@ -1,8 +1,11 @@
 # 第一阶段：前端构建
-FROM ccr.ccs.tencentyun.com/kalicyh/node:18-alpine AS frontend-builder
+
+FROM kalicyh/node:v18-alpine AS frontend-builder
 
 WORKDIR /app/ZhiKongTaiWeb
 
+# RUN corepack enable && yarn config set registry https://registry.npmmirror.com
+
 COPY ZhiKongTaiWeb/package.json ZhiKongTaiWeb/yarn.lock ./
 
 RUN yarn install --frozen-lockfile
@@ -11,7 +14,8 @@ COPY ZhiKongTaiWeb .
 RUN yarn build
 
 # 第二阶段：构建 Python 依赖
-FROM ccr.ccs.tencentyun.com/kalicyh/poetry:v3.10_xiaozhi AS builder
+
+FROM kalicyh/poetry:v3.10_xiaozhi AS builder
 
 WORKDIR /app
 

core/providers/tts/base.py

@@ -2,7 +2,7 @@ import asyncio
 from config.logger import setup_logging
 import os
 import numpy as np
-import opuslib
+import opuslib_next
 from pydub import AudioSegment
 from abc import ABC, abstractmethod
 
@@ -58,7 +58,7 @@ class TTSProviderBase(ABC):
         raw_data = audio.raw_data
 
         # 初始化Opus编码器
-        encoder = opuslib.Encoder(16000, 1, opuslib.APPLICATION_AUDIO)
+        encoder = opuslib_next.Encoder(16000, 1, opuslib_next.APPLICATION_AUDIO)
 
         # 编码参数
         frame_duration = 60  # 60ms per frame

core/utils/asr.py

@@ -1,18 +1,36 @@
 import time
 import wave
 import os
+import sys
+import io
 from abc import ABC, abstractmethod
 from config.logger import setup_logging
 from typing import Optional, Tuple, List
 import uuid
 
-import opuslib
+import opuslib_next
 from funasr import AutoModel
 from funasr.utils.postprocess_utils import rich_transcription_postprocess
 
 TAG = __name__
 logger = setup_logging()
 
+# 捕获标准输出
+class CaptureOutput:
+    def __enter__(self):
+        self._output = io.StringIO()
+        self._original_stdout = sys.stdout
+        sys.stdout = self._output
+
+    def __exit__(self, exc_type, exc_value, traceback):
+        sys.stdout = self._original_stdout
+        self.output = self._output.getvalue()
+        self._output.close()
+
+        # 将捕获到的内容通过 logger 输出
+        if self.output:
+            logger.bind(tag=TAG).info(self.output.strip())
+
 class ASR(ABC):
     @abstractmethod
     def save_audio_to_file(self, opus_data: List[bytes], session_id: str) -> str:
@@ -33,28 +51,28 @@ class FunASR(ASR):
 
         # 确保输出目录存在
         os.makedirs(self.output_dir, exist_ok=True)
-
-        self.model = AutoModel(
-            model=self.model_dir,
-            vad_kwargs={"max_single_segment_time": 30000},
-            disable_update=True,
-            hub="hf"
-            # device="cuda:0",  # 启用GPU加速
-        )
+        with CaptureOutput():
+            self.model = AutoModel(
+                model=self.model_dir,
+                vad_kwargs={"max_single_segment_time": 30000},
+                disable_update=True,
+                hub="hf"
+                # device="cuda:0",  # 启用GPU加速
+            )
 
     def save_audio_to_file(self, opus_data: List[bytes], session_id: str) -> str:
         """将Opus音频数据解码并保存为WAV文件"""
         file_name = f"asr_{session_id}_{uuid.uuid4()}.wav"
         file_path = os.path.join(self.output_dir, file_name)
 
-        decoder = opuslib.Decoder(16000, 1)  # 16kHz, 单声道
+        decoder = opuslib_next.Decoder(16000, 1)  # 16kHz, 单声道
         pcm_data = []
 
         for opus_packet in opus_data:
             try:
                 pcm_frame = decoder.decode(opus_packet, 960)  # 960 samples = 60ms
                 pcm_data.append(pcm_frame)
-            except opuslib.OpusError as e:
+            except opuslib_next.OpusError as e:
                 logger.bind(tag=TAG).error(f"Opus解码错误: {e}", exc_info=True)
 
         with wave.open(file_path, "wb") as wf:

core/utils/vad.py

@@ -1,6 +1,6 @@
 from abc import ABC, abstractmethod
 from config.logger import setup_logging
-import opuslib
+import opuslib_next
 import time
 import numpy as np
 import torch
@@ -24,7 +24,7 @@ class SileroVAD(VAD):
                                                 force_reload=False)
         (get_speech_timestamps, _, _, _, _) = self.utils
 
-        self.decoder = opuslib.Decoder(16000, 1)
+        self.decoder = opuslib_next.Decoder(16000, 1)
         self.vad_threshold = config.get("threshold")
         self.silence_threshold_ms = config.get("min_silence_duration_ms")
 
@@ -59,7 +59,7 @@ class SileroVAD(VAD):
                     conn.client_have_voice_last_time = time.time() * 1000
 
             return client_have_voice
-        except opuslib.OpusError as e:
+        except opuslib_next.OpusError as e:
             logger.bind(tag=TAG).info(f"解码错误: {e}")
         except Exception as e:
             logger.bind(tag=TAG).error(f"Error processing audio packet: {e}")

docker-compose.yml

@@ -1,6 +1,6 @@
 services:
   xiaozhi-esp32-server:
-    image: ccr.ccs.tencentyun.com/kalicyh/esp32-ai-server:latest
+    image: ghcr.io/kalicyh/xiaozhi-esp32-server:latest
     container_name: xiaozhi-esp32-server
     restart: always
     #security_opt:

docs/Deployment-silm.md

@@ -105,7 +105,7 @@ docker run -it --name xiaozhi-env --restart always --security-opt seccomp:unconf
   -p 8000:8000 \
   -p 8002:8002 \
   -v ./:/app \
-  ccr.ccs.tencentyun.com/kalicyh/poetry:v3.10_latest
+  kalicyh/poetry:v3.10_latest
 ```
 
 然后就和正常开发一样了

docs/Deployment.md

@@ -1,3 +1,4 @@
+
 # 本地源码运行
 
 ## 1.安装基础环境

poetry.lock

@@ -2202,14 +2202,15 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 realtime = ["websockets (>=13,<15)"]
 
 [[package]]
-name = "opuslib"
-version = "3.0.1"
+name = "opuslib-next"
+version = "1.1.2"
 description = "Python bindings to the libopus, IETF low-delay audio codec"
 optional = false
 python-versions = "*"
 groups = ["main"]
 files = [
-    {file = "opuslib-3.0.1.tar.gz", hash = "sha256:2cb045e5b03e7fc50dfefe431e3404dddddbd8f5961c10c51e32dfb69a044c97"},
+    {file = "opuslib_next-1.1.2-py2.py3-none-any.whl", hash = "sha256:adc432290ed721febff19dc0deb3b0cdbe846e80cd79fec742a7d47d960f13ed"},
+    {file = "opuslib_next-1.1.2.tar.gz", hash = "sha256:d44a63c69783ab3ccaf349d46a1e37741eb620d6391461a18f95ac1b538e6796"},
 ]
 
 [[package]]
@@ -3731,4 +3732,4 @@ propcache = ">=0.2.0"
 [metadata]
 lock-version = "2.1"
 python-versions = "^3.10.16"
-content-hash = "a4198be98d482e4393ef98f074b2c62c59786c8ef679adc2285473d1b9eb7d92"
+content-hash = "9d724dd1cc50a7a6a42f0b5d8a81ad788332939ffc6a3ba12537106567f4ebe7"

pyproject.toml

@@ -11,7 +11,6 @@ pyyml = "0.0.2"
 torch = "2.2.2"
 silero-vad = "5.1.2"
 websockets = "14.2"
-opuslib = "3.0.1"
 numpy = "1.26.4"
 pydub = "0.25.1"
 funasr = "1.2.3"
@@ -26,6 +25,7 @@ ormsgpack = "1.7.0"
 ruamel-yaml = "0.18.10"
 setuptools = "^75.8.0"
 loguru = "^0.7.3"
+opuslib-next = "^1.1.2"
 
 
 [build-system]

requirements.txt

@@ -2,7 +2,7 @@ pyyml==0.0.2
 torch==2.2.2
 silero_vad==5.1.2
 websockets==14.2
-opuslib==3.0.1
+opuslib_next==1.1.2
 numpy==1.26.4
 pydub==0.25.1
 funasr==1.2.3