从 Fluent-Ffmpeg 调用 Ffmpeg 二进制文件时节点出现 ENOENT 错误 Api
ENOENT Error in Node When Calling Ffmpeg binary from Fluent-Ffmpeg Api
背景
我正在节点中连接一个 firebase 函数。目的是将入站音频剪辑解析为设定长度。使用 ffmpeg 和 fluent-ffmpeg。
问题
在 firebase 中触发函数时,当 Fluent-Ffmpeg 尝试访问 Ffmpeg 二进制文件时出现 ENOENT 错误
Firebase 调试输出
Error: { Error: spawn
./Cloud/functions/node_modules/ffmpeg-binaries/bin/ffmpeg ENOENT
at exports._errnoException (util.js:1018:11)
at Process.ChildProcess._handle.onexit (internal/child_process.js:193:32)
at onErrorNT (internal/child_process.js:367:16)
at _combinedTickCallback (internal/process/next_tick.js:80:11)
at process._tickDomainCallback (internal/process/next_tick.js:128:9) code: 'ENOENT', errno:
'ENOENT', syscall: 'spawn
./Cloud/functions/node_modules/ffmpeg-binaries/bin/ffmpeg', path:
'./Cloud/functions/node_modules/ffmpeg-binaries/bin/ffmpeg',
spawnargs: [ '-formats' ] }
预期结果
入站文件被下载到临时目录、裁剪并作为裁剪后的文件重新上传到 firebase 存储。
环境
- mac 客户端/Firebase 存储
- 节点 v8.1.0
- ffmpeg v3.2.2
- fluent-ffmpeg v2.1.2
代码[已更新以反映 Svenskunganka 的更改。现在有效]
const ffmpeg = require('fluent-ffmpeg');
const PREVIEW_PREFIX = 'preview_';
exports.generatePreviewClip = functions.storage.object('audioFiles').onChange(event => {
//console.log('Times this function has run: ', run++);
const object = event.data; // The Storage object.
const fileBucket = object.bucket; // The Storage bucket that contains the file.
const filePath = object.name; // File path in the bucket.
const contentType = object.contentType; // File content type.
const resourceState = object.resourceState; // The resourceState is 'exists' or 'not_exists' (for file/folder deletions).
const metageneration = object.metageneration; // Number of times metadata has been generated. New objects have a value of 1.
// Exit if this is triggered on a file that is not an audio file.
if (!contentType.startsWith('audio/')) {
console.log('This is not an audio file.');
console.log('This is the file:', filePath);
return;
}
// Get the file name.
const fileName = path.basename(filePath);
console.log('Working with filename', fileName);
// Exit if the file is already an audio clip.
if (fileName.startsWith(PREVIEW_PREFIX)) {
console.log('Already a preview clip.');
return;
}
// Exit if this is a move or deletion event.
if (event.data.resourceState === 'not_exists') {
console.log('This is a deletion event.');
return;
}
// Exit if file exists but is not new and is only being triggered
// because of a metadata change.
if (resourceState === 'exists' && metageneration > 1) {
console.log('This is a metadata change event.');
return;
}
// Download file from bucket.
const bucket = gcs.bucket(fileBucket);
const tempFilePath = path.join(os.tmpdir(), fileName);
return bucket.file(filePath).download({
destination: tempFilePath
}).then(() => {
console.log('Audio file downloaded locally to temp directory', tempFilePath);
var ffmpegPath = require("ffmpeg-binaries").ffmpegPath();
var ffprobePath = require("ffmpeg-binaries").ffprobePath();
// Generate a croped file using ffmpeg.
var command = new ffmpeg(tempFilePath);
command.setFfmpegPath(ffmpegPath);
command.setFfprobePath(ffprobePath);
command
.setStartTime('00:00:03')
.setDuration('10')
.output(tempFilePath)
.on('end', function() {
console.log('Audio Crop Done Successfully');
})
.on('error', function(err)
{
console.log('Error:', err);
}).run();
}).then(() => {
console.log('Preview file created at', tempFilePath);
// We add a 'preview_' prefix to the audio file name. that's how it will appear in firebase.
const previewFileName = PREVIEW_PREFIX + fileName;
console.log('previewFileName is', previewFileName)
const previewFilePath = path.join(path.dirname(filePath), previewFileName);
console.log('previewFilePath is', previewFilePath);
// Uploading the preview file.
return bucket.upload(tempFilePath, {destination: previewFilePath});
// Once the file has been uploaded delete the local file to free up disk space.
}).then(() => fs.unlinkSync(tempFilePath));
// [END audio file generation]
});
我的 ffmpeg-binaries/bin 目录的内容和结构
-rwxrwxrwx 1 sherpa staff 24M Dec 10 2016 ffmpeg
-rwxr--r-- 1 sherpa staff 35M Jan 12 2017 ffmpeg.exe
-rwxr--r-- 1 sherpa staff 35M Jan 12 2017 ffplay.exe
-rwxrwxrwx 1 sherpa staff 24M Dec 10 2016 ffprobe
-rwxr--r-- 1 sherpa staff 35M Jan 12 2017 ffprobe.exe
-rwxrwxrwx 1 sherpa staff 22M Dec 10 2016 ffserver
我尝试过的事情
- 我可以从命令行执行ffmpeg
- sudo chmod -R u+x ffmpeg-二进制文件/
- 全局路径中设置了ffmpeg
- 在 setFfmpegPath 中使用 ffmpeg.exe 二进制文件,得到相同的结果
- 错误:{ 错误:spawn ./Cloud/functions/node_modules/ffmpeg-binaries/bin/ffmpeg.exe ENOENT
- 尝试了许多不同的 setFfmpegPath 路径结构,例如:
- ./Cloud/functions/node_modules/ffmpeg-binaries/bin/ffmpeg
- node_modules/ffmpeg-binaries/bin/ffmpeg
- ./Cloud/functions/node_modules/ffmpeg-binaries/bin/
感谢您的任何建议。
我们在问题的评论中解决了这个问题,但我会 post 为可能遇到相同问题的任何未来用户提供答案。问题是提供给 setFfmpegPath()
方法的路径是相对的,应该是绝对的。 ffmpeg-binaries
模块导出了几个辅助函数,您可以调用它们来获取其二进制文件的路径:
var ffmpeg = require("fluent-ffmpeg")
var ffmpegPath = require("ffmpeg-binaries")
ffmpeg
.setFfmpegPath(ffmpegPath)
...
确保 ffmpeg-binaries
安装了 npm i -S ffmpeg-binaries
。
2018 年 11 月 7 日更新:
ffmpeg-binaries
软件包在版本 4.0.0
中发布了一项新的重大更改,删除了它导出的所有函数,而只是导出指向 ffmpeg
所在目录的字符串。这已在提交 009e4d5
.
中更改
我更新了答案以反映这些变化。
背景
我正在节点中连接一个 firebase 函数。目的是将入站音频剪辑解析为设定长度。使用 ffmpeg 和 fluent-ffmpeg。
问题
在 firebase 中触发函数时,当 Fluent-Ffmpeg 尝试访问 Ffmpeg 二进制文件时出现 ENOENT 错误
Firebase 调试输出
Error: { Error: spawn ./Cloud/functions/node_modules/ffmpeg-binaries/bin/ffmpeg ENOENT at exports._errnoException (util.js:1018:11) at Process.ChildProcess._handle.onexit (internal/child_process.js:193:32) at onErrorNT (internal/child_process.js:367:16) at _combinedTickCallback (internal/process/next_tick.js:80:11) at process._tickDomainCallback (internal/process/next_tick.js:128:9) code: 'ENOENT', errno: 'ENOENT', syscall: 'spawn ./Cloud/functions/node_modules/ffmpeg-binaries/bin/ffmpeg', path: './Cloud/functions/node_modules/ffmpeg-binaries/bin/ffmpeg',
spawnargs: [ '-formats' ] }
预期结果
入站文件被下载到临时目录、裁剪并作为裁剪后的文件重新上传到 firebase 存储。
环境
- mac 客户端/Firebase 存储
- 节点 v8.1.0
- ffmpeg v3.2.2
- fluent-ffmpeg v2.1.2
代码[已更新以反映 Svenskunganka 的更改。现在有效]
const ffmpeg = require('fluent-ffmpeg');
const PREVIEW_PREFIX = 'preview_';
exports.generatePreviewClip = functions.storage.object('audioFiles').onChange(event => {
//console.log('Times this function has run: ', run++);
const object = event.data; // The Storage object.
const fileBucket = object.bucket; // The Storage bucket that contains the file.
const filePath = object.name; // File path in the bucket.
const contentType = object.contentType; // File content type.
const resourceState = object.resourceState; // The resourceState is 'exists' or 'not_exists' (for file/folder deletions).
const metageneration = object.metageneration; // Number of times metadata has been generated. New objects have a value of 1.
// Exit if this is triggered on a file that is not an audio file.
if (!contentType.startsWith('audio/')) {
console.log('This is not an audio file.');
console.log('This is the file:', filePath);
return;
}
// Get the file name.
const fileName = path.basename(filePath);
console.log('Working with filename', fileName);
// Exit if the file is already an audio clip.
if (fileName.startsWith(PREVIEW_PREFIX)) {
console.log('Already a preview clip.');
return;
}
// Exit if this is a move or deletion event.
if (event.data.resourceState === 'not_exists') {
console.log('This is a deletion event.');
return;
}
// Exit if file exists but is not new and is only being triggered
// because of a metadata change.
if (resourceState === 'exists' && metageneration > 1) {
console.log('This is a metadata change event.');
return;
}
// Download file from bucket.
const bucket = gcs.bucket(fileBucket);
const tempFilePath = path.join(os.tmpdir(), fileName);
return bucket.file(filePath).download({
destination: tempFilePath
}).then(() => {
console.log('Audio file downloaded locally to temp directory', tempFilePath);
var ffmpegPath = require("ffmpeg-binaries").ffmpegPath();
var ffprobePath = require("ffmpeg-binaries").ffprobePath();
// Generate a croped file using ffmpeg.
var command = new ffmpeg(tempFilePath);
command.setFfmpegPath(ffmpegPath);
command.setFfprobePath(ffprobePath);
command
.setStartTime('00:00:03')
.setDuration('10')
.output(tempFilePath)
.on('end', function() {
console.log('Audio Crop Done Successfully');
})
.on('error', function(err)
{
console.log('Error:', err);
}).run();
}).then(() => {
console.log('Preview file created at', tempFilePath);
// We add a 'preview_' prefix to the audio file name. that's how it will appear in firebase.
const previewFileName = PREVIEW_PREFIX + fileName;
console.log('previewFileName is', previewFileName)
const previewFilePath = path.join(path.dirname(filePath), previewFileName);
console.log('previewFilePath is', previewFilePath);
// Uploading the preview file.
return bucket.upload(tempFilePath, {destination: previewFilePath});
// Once the file has been uploaded delete the local file to free up disk space.
}).then(() => fs.unlinkSync(tempFilePath));
// [END audio file generation]
});
我的 ffmpeg-binaries/bin 目录的内容和结构
-rwxrwxrwx 1 sherpa staff 24M Dec 10 2016 ffmpeg
-rwxr--r-- 1 sherpa staff 35M Jan 12 2017 ffmpeg.exe
-rwxr--r-- 1 sherpa staff 35M Jan 12 2017 ffplay.exe
-rwxrwxrwx 1 sherpa staff 24M Dec 10 2016 ffprobe
-rwxr--r-- 1 sherpa staff 35M Jan 12 2017 ffprobe.exe
-rwxrwxrwx 1 sherpa staff 22M Dec 10 2016 ffserver
我尝试过的事情
- 我可以从命令行执行ffmpeg
- sudo chmod -R u+x ffmpeg-二进制文件/
- 全局路径中设置了ffmpeg
- 在 setFfmpegPath 中使用 ffmpeg.exe 二进制文件,得到相同的结果
- 错误:{ 错误:spawn ./Cloud/functions/node_modules/ffmpeg-binaries/bin/ffmpeg.exe ENOENT
- 尝试了许多不同的 setFfmpegPath 路径结构,例如:
- ./Cloud/functions/node_modules/ffmpeg-binaries/bin/ffmpeg
- node_modules/ffmpeg-binaries/bin/ffmpeg
- ./Cloud/functions/node_modules/ffmpeg-binaries/bin/
感谢您的任何建议。
我们在问题的评论中解决了这个问题,但我会 post 为可能遇到相同问题的任何未来用户提供答案。问题是提供给 setFfmpegPath()
方法的路径是相对的,应该是绝对的。 ffmpeg-binaries
模块导出了几个辅助函数,您可以调用它们来获取其二进制文件的路径:
var ffmpeg = require("fluent-ffmpeg")
var ffmpegPath = require("ffmpeg-binaries")
ffmpeg
.setFfmpegPath(ffmpegPath)
...
确保 ffmpeg-binaries
安装了 npm i -S ffmpeg-binaries
。
2018 年 11 月 7 日更新:
ffmpeg-binaries
软件包在版本 4.0.0
中发布了一项新的重大更改,删除了它导出的所有函数,而只是导出指向 ffmpeg
所在目录的字符串。这已在提交 009e4d5
.
中更改
我更新了答案以反映这些变化。