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xiaozhi-esp32-server/main/xiaozhi-server/core/utils/util.py
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2025-11-23 11:55:38 +08:00

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import re
import os
import json
import copy
import wave
import socket
import requests
import subprocess
import numpy as np
import opuslib_next
import gc
from io import BytesIO
from core.utils import p3
from pydub import AudioSegment
from typing import Callable, Any
TAG = __name__
emoji_map = {
"neutral": "😶",
"happy": "🙂",
"laughing": "😆",
"funny": "😂",
"sad": "😔",
"angry": "😠",
"crying": "😭",
"loving": "😍",
"embarrassed": "😳",
"surprised": "😲",
"shocked": "😱",
"thinking": "🤔",
"winking": "😉",
"cool": "😎",
"relaxed": "😌",
"delicious": "🤤",
"kissy": "😘",
"confident": "😏",
"sleepy": "😴",
"silly": "😜",
"confused": "🙄",
}
def get_local_ip():
try:
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
# Connect to Google's DNS servers
s.connect(("8.8.8.8", 80))
local_ip = s.getsockname()[0]
s.close()
return local_ip
except Exception as e:
return "127.0.0.1"
def is_private_ip(ip_addr):
"""
Check if an IP address is a private IP address (compatible with IPv4 and IPv6).
@param {string} ip_addr - The IP address to check.
@return {bool} True if the IP address is private, False otherwise.
"""
try:
# Validate IPv4 or IPv6 address format
if not re.match(
r"^(\d{1,3}\.){3}\d{1,3}$|^([0-9a-fA-F]{1,4}:){7}[0-9a-fA-F]{1,4}$", ip_addr
):
return False # Invalid IP address format
# IPv4 private address ranges
if "." in ip_addr: # IPv4 address
ip_parts = list(map(int, ip_addr.split(".")))
if ip_parts[0] == 10:
return True # 10.0.0.0/8 range
elif ip_parts[0] == 172 and 16 <= ip_parts[1] <= 31:
return True # 172.16.0.0/12 range
elif ip_parts[0] == 192 and ip_parts[1] == 168:
return True # 192.168.0.0/16 range
elif ip_addr == "127.0.0.1":
return True # Loopback address
elif ip_parts[0] == 169 and ip_parts[1] == 254:
return True # Link-local address 169.254.0.0/16
else:
return False # Not a private IPv4 address
else: # IPv6 address
ip_addr = ip_addr.lower()
if ip_addr.startswith("fc00:") or ip_addr.startswith("fd00:"):
return True # Unique Local Addresses (FC00::/7)
elif ip_addr == "::1":
return True # Loopback address
elif ip_addr.startswith("fe80:"):
return True # Link-local unicast addresses (FE80::/10)
else:
return False # Not a private IPv6 address
except (ValueError, IndexError):
return False # IP address format error or insufficient segments
def get_ip_info(ip_addr, logger):
try:
# 导入全局缓存管理器
from core.utils.cache.manager import cache_manager, CacheType
# 先从缓存获取
cached_ip_info = cache_manager.get(CacheType.IP_INFO, ip_addr)
if cached_ip_info is not None:
return cached_ip_info
# 缓存未命中,调用API
if is_private_ip(ip_addr):
ip_addr = ""
url = f"https://whois.pconline.com.cn/ipJson.jsp?json=true&ip={ip_addr}"
resp = requests.get(url).json()
ip_info = {"city": resp.get("city")}
# 存入缓存
cache_manager.set(CacheType.IP_INFO, ip_addr, ip_info)
return ip_info
except Exception as e:
logger.bind(tag=TAG).error(f"Error getting client ip info: {e}")
return {}
def write_json_file(file_path, data):
"""将数据写入 JSON 文件"""
with open(file_path, "w", encoding="utf-8") as file:
json.dump(data, file, ensure_ascii=False, indent=4)
def remove_punctuation_and_length(text):
# 全角符号和半角符号的Unicode范围
full_width_punctuations = (
"!"#$%&'()*+,-。/:;<=>?@[\]^_`{|}~"
)
half_width_punctuations = r'!"#$%&\'()*+,-./:;<=>?@[\]^_`{|}~'
space = " " # 半角空格
full_width_space = " " # 全角空格
# 去除全角和半角符号以及空格
result = "".join(
[
char
for char in text
if char not in full_width_punctuations
and char not in half_width_punctuations
and char not in space
and char not in full_width_space
]
)
if result == "Yeah":
return 0, ""
return len(result), result
def check_model_key(modelType, modelKey):
if "你" in modelKey:
return f"配置错误: {modelType} 的 API key 未设置,当前值为: {modelKey}"
return None
def parse_string_to_list(value, separator=";"):
"""
将输入值转换为列表
Args:
value: 输入值,可以是 None、字符串或列表
separator: 分隔符,默认为分号
Returns:
list: 处理后的列表
"""
if value is None or value == "":
return []
elif isinstance(value, str):
return [item.strip() for item in value.split(separator) if item.strip()]
elif isinstance(value, list):
return value
return []
def check_ffmpeg_installed() -> bool:
"""
检查当前环境中是否已正确安装并可执行 ffmpeg。
Returns:
bool: 如果 ffmpeg 正常可用,返回 True;否则抛出 ValueError 异常。
Raises:
ValueError: 当检测到 ffmpeg 未安装或依赖缺失时,抛出详细的提示信息。
"""
try:
# 尝试执行 ffmpeg 命令
result = subprocess.run(
["ffmpeg", "-version"],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
check=True, # 非零退出码会触发 CalledProcessError
)
output = (result.stdout + result.stderr).lower()
if "ffmpeg version" in output:
return True
# 如果未检测到版本信息,也视为异常情况
raise ValueError("未检测到有效的 ffmpeg 版本输出。")
except (subprocess.CalledProcessError, FileNotFoundError) as e:
# 提取错误输出
stderr_output = ""
if isinstance(e, subprocess.CalledProcessError):
stderr_output = (e.stderr or "").strip()
else:
stderr_output = str(e).strip()
# 构建基础错误提示
error_msg = [
"❌ 检测到 ffmpeg 无法正常运行。\n",
"建议您:",
"1. 确认已正确激活 conda 环境;",
"2. 查阅项目安装文档,了解如何在 conda 环境中安装 ffmpeg。\n",
]
# 🎯 针对具体错误信息提供额外提示
if "libiconv.so.2" in stderr_output:
error_msg.append("⚠️ 发现缺少依赖库:libiconv.so.2")
error_msg.append("解决方法:在当前 conda 环境中执行:")
error_msg.append(" conda install -c conda-forge libiconv\n")
elif (
"no such file or directory" in stderr_output
and "ffmpeg" in stderr_output.lower()
):
error_msg.append("⚠️ 系统未找到 ffmpeg 可执行文件。")
error_msg.append("解决方法:在当前 conda 环境中执行:")
error_msg.append(" conda install -c conda-forge ffmpeg\n")
else:
error_msg.append("错误详情:")
error_msg.append(stderr_output or "未知错误。")
# 抛出详细异常信息
raise ValueError("\n".join(error_msg)) from e
def extract_json_from_string(input_string):
"""提取字符串中的 JSON 部分"""
pattern = r"(\{.*\})"
match = re.search(pattern, input_string, re.DOTALL) # 添加 re.DOTALL
if match:
return match.group(1) # 返回提取的 JSON 字符串
return None
def audio_to_data_stream(
audio_file_path, is_opus=True, callback: Callable[[Any], Any] = None
) -> None:
# 获取文件后缀名
file_type = os.path.splitext(audio_file_path)[1]
if file_type:
file_type = file_type.lstrip(".")
# 读取音频文件,-nostdin 参数:不要从标准输入读取数据,否则FFmpeg会阻塞
audio = AudioSegment.from_file(
audio_file_path, format=file_type, parameters=["-nostdin"]
)
# 转换为单声道/16kHz采样率/16位小端编码(确保与编码器匹配)
audio = audio.set_channels(1).set_frame_rate(16000).set_sample_width(2)
# 获取原始PCM数据(16位小端)
raw_data = audio.raw_data
pcm_to_data_stream(raw_data, is_opus, callback)
def audio_to_data(audio_file_path: str, is_opus: bool = True) -> list[bytes]:
"""
将音频文件转换为Opus/PCM编码的帧列表
Args:
audio_file_path: 音频文件路径
is_opus: 是否进行Opus编码
"""
# 获取文件后缀名
file_type = os.path.splitext(audio_file_path)[1]
if file_type:
file_type = file_type.lstrip(".")
# 读取音频文件,-nostdin 参数:不要从标准输入读取数据,否则FFmpeg会阻塞
audio = AudioSegment.from_file(
audio_file_path, format=file_type, parameters=["-nostdin"]
)
# 转换为单声道/16kHz采样率/16位小端编码(确保与编码器匹配)
audio = audio.set_channels(1).set_frame_rate(16000).set_sample_width(2)
# 获取原始PCM数据(16位小端)
raw_data = audio.raw_data
# 初始化Opus编码器
encoder = opuslib_next.Encoder(16000, 1, opuslib_next.APPLICATION_AUDIO)
# 编码参数
frame_duration = 60 # 60ms per frame
frame_size = int(16000 * frame_duration / 1000) # 960 samples/frame
datas = []
# 按帧处理所有音频数据(包括最后一帧可能补零)
for i in range(0, len(raw_data), frame_size * 2): # 16bit=2bytes/sample
# 获取当前帧的二进制数据
chunk = raw_data[i : i + frame_size * 2]
# 如果最后一帧不足,补零
if len(chunk) < frame_size * 2:
chunk += b"\x00" * (frame_size * 2 - len(chunk))
if is_opus:
# 转换为numpy数组处理
np_frame = np.frombuffer(chunk, dtype=np.int16)
# 编码Opus数据
frame_data = encoder.encode(np_frame.tobytes(), frame_size)
else:
frame_data = chunk if isinstance(chunk, bytes) else bytes(chunk)
datas.append(frame_data)
return datas
def audio_bytes_to_data_stream(
audio_bytes, file_type, is_opus, callback: Callable[[Any], Any]
) -> None:
"""
直接用音频二进制数据转为opus/pcm数据,支持wav、mp3、p3
"""
if file_type == "p3":
# 直接用p3解码
return p3.decode_opus_from_bytes_stream(audio_bytes, callback)
else:
# 其他格式用pydub
audio = AudioSegment.from_file(
BytesIO(audio_bytes), format=file_type, parameters=["-nostdin"]
)
audio = audio.set_channels(1).set_frame_rate(16000).set_sample_width(2)
raw_data = audio.raw_data
pcm_to_data_stream(raw_data, is_opus, callback)
def pcm_to_data_stream(raw_data, is_opus=True, callback: Callable[[Any], Any] = None):
# 初始化Opus编码器
encoder = opuslib_next.Encoder(16000, 1, opuslib_next.APPLICATION_AUDIO)
# 编码参数
frame_duration = 60 # 60ms per frame
frame_size = int(16000 * frame_duration / 1000) # 960 samples/frame
# 按帧处理所有音频数据(包括最后一帧可能补零)
for i in range(0, len(raw_data), frame_size * 2): # 16bit=2bytes/sample
# 获取当前帧的二进制数据
chunk = raw_data[i : i + frame_size * 2]
# 如果最后一帧不足,补零
if len(chunk) < frame_size * 2:
chunk += b"\x00" * (frame_size * 2 - len(chunk))
if is_opus:
# 转换为numpy数组处理
np_frame = np.frombuffer(chunk, dtype=np.int16)
# 编码Opus数据
frame_data = encoder.encode(np_frame.tobytes(), frame_size)
callback(frame_data)
else:
frame_data = chunk if isinstance(chunk, bytes) else bytes(chunk)
callback(frame_data)
def opus_datas_to_wav_bytes(opus_datas, sample_rate=16000, channels=1):
"""
将opus帧列表解码为wav字节流
"""
decoder = opuslib_next.Decoder(sample_rate, channels)
try:
pcm_datas = []
frame_duration = 60 # ms
frame_size = int(sample_rate * frame_duration / 1000) # 960
for opus_frame in opus_datas:
# 解码为PCM(返回bytes,2字节/采样点)
pcm = decoder.decode(opus_frame, frame_size)
pcm_datas.append(pcm)
pcm_bytes = b"".join(pcm_datas)
# 写入wav字节流
wav_buffer = BytesIO()
with wave.open(wav_buffer, "wb") as wf:
wf.setnchannels(channels)
wf.setsampwidth(2) # 16bit
wf.setframerate(sample_rate)
wf.writeframes(pcm_bytes)
return wav_buffer.getvalue()
finally:
del decoder
gc.collect()
def check_vad_update(before_config, new_config):
if (
new_config.get("selected_module") is None
or new_config["selected_module"].get("VAD") is None
):
return False
update_vad = False
current_vad_module = before_config["selected_module"]["VAD"]
new_vad_module = new_config["selected_module"]["VAD"]
current_vad_type = (
current_vad_module
if "type" not in before_config["VAD"][current_vad_module]
else before_config["VAD"][current_vad_module]["type"]
)
new_vad_type = (
new_vad_module
if "type" not in new_config["VAD"][new_vad_module]
else new_config["VAD"][new_vad_module]["type"]
)
update_vad = current_vad_type != new_vad_type
return update_vad
def check_asr_update(before_config, new_config):
if (
new_config.get("selected_module") is None
or new_config["selected_module"].get("ASR") is None
):
return False
update_asr = False
current_asr_module = before_config["selected_module"]["ASR"]
new_asr_module = new_config["selected_module"]["ASR"]
current_asr_type = (
current_asr_module
if "type" not in before_config["ASR"][current_asr_module]
else before_config["ASR"][current_asr_module]["type"]
)
new_asr_type = (
new_asr_module
if "type" not in new_config["ASR"][new_asr_module]
else new_config["ASR"][new_asr_module]["type"]
)
update_asr = current_asr_type != new_asr_type
return update_asr
def filter_sensitive_info(config: dict) -> dict:
"""
过滤配置中的敏感信息
Args:
config: 原始配置字典
Returns:
过滤后的配置字典
"""
sensitive_keys = [
"api_key",
"personal_access_token",
"access_token",
"token",
"secret",
"access_key_secret",
"secret_key",
]
def _filter_dict(d: dict) -> dict:
filtered = {}
for k, v in d.items():
if any(sensitive in k.lower() for sensitive in sensitive_keys):
filtered[k] = "***"
elif isinstance(v, dict):
filtered[k] = _filter_dict(v)
elif isinstance(v, list):
filtered[k] = [_filter_dict(i) if isinstance(i, dict) else i for i in v]
elif isinstance(v, str):
try:
json_data = json.loads(v)
if isinstance(json_data, dict):
filtered[k] = json.dumps(
_filter_dict(json_data), ensure_ascii=False
)
else:
filtered[k] = v
except (json.JSONDecodeError, TypeError):
filtered[k] = v
else:
filtered[k] = v
return filtered
return _filter_dict(copy.deepcopy(config))
def get_vision_url(config: dict) -> str:
"""获取 vision URL
Args:
config: 配置字典
Returns:
str: vision URL
"""
server_config = config["server"]
vision_explain = server_config.get("vision_explain", "")
if "你的" in vision_explain:
local_ip = get_local_ip()
port = int(server_config.get("http_port", 8003))
vision_explain = f"http://{local_ip}:{port}/mcp/vision/explain"
return vision_explain
def is_valid_image_file(file_data: bytes) -> bool:
"""
检查文件数据是否为有效的图片格式
Args:
file_data: 文件的二进制数据
Returns:
bool: 如果是有效的图片格式返回True,否则返回False
"""
# 常见图片格式的魔数(文件头)
image_signatures = {
b"\xff\xd8\xff": "JPEG",
b"\x89PNG\r\n\x1a\n": "PNG",
b"GIF87a": "GIF",
b"GIF89a": "GIF",
b"BM": "BMP",
b"II*\x00": "TIFF",
b"MM\x00*": "TIFF",
b"RIFF": "WEBP",
}
# 检查文件头是否匹配任何已知的图片格式
for signature in image_signatures:
if file_data.startswith(signature):
return True
return False
def sanitize_tool_name(name: str) -> str:
"""Sanitize tool names for OpenAI compatibility."""
# 支持中文、英文字母、数字、下划线和连字符
return re.sub(r"[^a-zA-Z0-9_\-\u4e00-\u9fff]", "_", name)
def validate_mcp_endpoint(mcp_endpoint: str) -> bool:
"""
校验MCP接入点格式
Args:
mcp_endpoint: MCP接入点字符串
Returns:
bool: 是否有效
"""
# 1. 检查是否以ws开头
if not mcp_endpoint.startswith("ws"):
return False
# 2. 检查是否包含key、call字样
if "key" in mcp_endpoint.lower() or "call" in mcp_endpoint.lower():
return False
# 3. 检查是否包含/mcp/字样
if "/mcp/" not in mcp_endpoint:
return False
return True