如果它不能与transfer选项一起使用，您可以将其用作流：

import pino from "pino";
import pretty from "pino-pretty";

const stream = pretty({
  levelFirst: true,
  colorize: true,
  ignore: "time,hostname,pid",
});

const logger = pino(
  {
    name: "MyLogger",
    level: process.env.NODE_ENV === "development" ? "debug" : "info",
  },
  stream
);

export default logger;

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更多细节请参见文档：https://github.com/pinojs/pino-pretty#usage-as-a-stream

如果你没有安装它，你必须安装pino-pretty

npm i pino-pretty

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你的package.json中可能缺少pino-pretty，你有没有尝试将它添加为依赖项？

检查环境变量。它必须是staging或production。SENTRY_ENVIRONMENT之类的检查。我也有同样的错误。

的数据

import pino, { Logger } from 'pino';
import dotenv from "dotenv";
import { createWriteStream } from "pino-sentry";

dotenv.config();

function prodLogger():Logger {
    const stream = createWriteStream({ dsn: process.env.SENTRY_DSN, serverName: process.env.TENANT_NAME});

    return pino({}, stream);
}

function devLogger(): Logger {
    return pino({
        timestamp: true,
        transport: {
            target: 'pino-pretty',
            options: {
                colorize: true,
                destination: 2,
                sync: process.env.SENTRY_ENVIRONMENT === 'testing',
            },
        },
    });
}

function logger(): Logger {
    return ['production', 'staging',"develop"].includes(process.env.SENTRY_ENVIRONMENT ?? '')
        ? prodLogger()
        : devLogger();
}

export default logger();

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我在使用next-pino时遇到了这个问题。在本地工作正常，但在部署时抛出错误：
错误：无法确定“pino-pretty”的传输目标
所以我的解决方案是在我的logger类中添加pino pretty的导入：

import { Logger, pino } from 'pino'
import 'pino-pretty'

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这对我很有效

import pino from "pino";
import path from "path";

const logsPath = path.resolve("src", "logs");

const transport = pino.transport({
  targets: [
    {
      target: "pino/file",
      options: { destination: `${logsPath}/server.log` },
      level: process.env.PINO_LOG_LEVEL || "info",
    },
    //@ts-ignore
    {
      target: "pino-pretty",
      options: {
        colorize: true,
      },
    },
  ],
});

export const logger = pino(
  {
    level: process.env.PINO_LOG_LEVEL || "info",

    timestamp: pino.stdTimeFunctions.isoTime,
  },
  transport
);

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最好的方法似乎是通过管道将输出输出到CLI工具来使用它。
所以不要在你的项目中导入它，而是将它添加到你的npm脚本中：

"scripts": {
    (...)
    "dev": "nodemon --watch src/* --exec 'node src/index.js | pino-pretty'",
    "start": "node src/index.js"
  }

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