以下是Stefan Farestam回答的扩展版本:

function parse_yaml {
   local prefix=$2
   local s='[[:space:]]*' w='[a-zA-Z0-9_]*' fs=$(echo @|tr @ '\034')
   sed -ne "s|,$s\]$s\$|]|" \
        -e ":1;s|^\($s\)\($w\)$s:$s\[$s\(.*\)$s,$s\(.*\)$s\]|\1\2: [\3]\n\1  - \4|;t1" \
        -e "s|^\($s\)\($w\)$s:$s\[$s\(.*\)$s\]|\1\2:\n\1  - \3|;p" $1 | \
   sed -ne "s|,$s}$s\$|}|" \
        -e ":1;s|^\($s\)-$s{$s\(.*\)$s,$s\($w\)$s:$s\(.*\)$s}|\1- {\2}\n\1  \3: \4|;t1" \
        -e    "s|^\($s\)-$s{$s\(.*\)$s}|\1-\n\1  \2|;p" | \
   sed -ne "s|^\($s\):|\1|" \
        -e "s|^\($s\)-$s[\"']\(.*\)[\"']$s\$|\1$fs$fs\2|p" \
        -e "s|^\($s\)-$s\(.*\)$s\$|\1$fs$fs\2|p" \
        -e "s|^\($s\)\($w\)$s:$s[\"']\(.*\)[\"']$s\$|\1$fs\2$fs\3|p" \
        -e "s|^\($s\)\($w\)$s:$s\(.*\)$s\$|\1$fs\2$fs\3|p" | \
   awk -F$fs '{
      indent = length($1)/2;
      vname[indent] = $2;
      for (i in vname) {if (i > indent) {delete vname[i]; idx[i]=0}}
      if(length($2)== 0){  vname[indent]= ++idx[indent] };
      if (length($3) > 0) {
         vn=""; for (i=0; i<indent; i++) { vn=(vn)(vname[i])("_")}
         printf("%s%s%s=\"%s\"\n", "'$prefix'",vn, vname[indent], $3);
      }
   }'
}

该版本支持字典和列表的-符号和短符号。以下输入:

global:
  input:
    - "main.c"
    - "main.h"
  flags: [ "-O3", "-fpic" ]
  sample_input:
    -  { property1: value, property2: "value2" }
    -  { property1: "value3", property2: 'value 4' }

产生如下输出:

global_input_1="main.c"
global_input_2="main.h"
global_flags_1="-O3"
global_flags_2="-fpic"
global_sample_input_1_property1="value"
global_sample_input_1_property2="value2"
global_sample_input_2_property1="value3"
global_sample_input_2_property2="value 4"

as you can see the - items automatically get numbered in order to obtain different variable names for each item. In bash there are no multidimensional arrays, so this is one way to work around. Multiple levels are supported. To work around the problem with trailing white spaces mentioned by @briceburg one should enclose the values in single or double quotes. However, there are still some limitations: Expansion of the dictionaries and lists can produce wrong results when values contain commas. Also, more complex structures like values spanning multiple lines (like ssh-keys) are not (yet) supported.

A few words about the code: The first sed command expands the short form of dictionaries { key: value, ...} to regular and converts them to more simple yaml style. The second sed call does the same for the short notation of lists and converts [ entry, ... ] to an itemized list with the - notation. The third sed call is the original one that handled normal dictionaries, now with the addition to handle lists with - and indentations. The awk part introduces an index for each indentation level and increases it when the variable name is empty (i.e. when processing a list). The current value of the counters are used instead of the empty vname. When going up one level, the counters are zeroed.

编辑:我已经为此创建了一个github存储库。

你也可以考虑使用Grunt (JavaScript任务运行器)。可以很容易地与shell集成。它支持读取YAML (grunt.file.readYAML)和JSON (grunt.file.readJSON)文件。

这可以通过在Gruntfile.js(或Gruntfile.coffee)中创建一个任务来实现，例如:

module.exports = function (grunt) {

    grunt.registerTask('foo', ['load_yml']);

    grunt.registerTask('load_yml', function () {
        var data = grunt.file.readYAML('foo.yml');
        Object.keys(data).forEach(function (g) {
          // ... switch (g) { case 'my_key':
        });
    });

};

然后在shell中简单地运行grunt foo(检查grunt—help是否有可用的任务)。

此外，你可以实现exec:foo任务(grunt-exec)与输入变量从你的任务(foo: {cmd: 'echo bar <%= foo %>'})为了打印输出在任何格式你想要的，然后管道到另一个命令。

还有一个类似于Grunt的工具，它叫做gulp，带有额外的插件gulp-yaml。

安装方法:npm Install——save-dev gulp-yaml

示例用法:

var yaml = require('gulp-yaml');

gulp.src('./src/*.yml')
  .pipe(yaml())
  .pipe(gulp.dest('./dist/'))

gulp.src('./src/*.yml')
  .pipe(yaml({ space: 2 }))
  .pipe(gulp.dest('./dist/'))

gulp.src('./src/*.yml')
  .pipe(yaml({ safe: true }))
  .pipe(gulp.dest('./dist/'))

要了解更多处理YAML格式的选项，请查看YAML网站上可用的项目、库和其他资源，这些资源可以帮助您解析该格式。

其他工具:

Jshon 解析、读取和创建JSON

使用Python的PyYAML或YAML::Perl等库最容易进行复杂的解析。

如果您希望将所有YAML值解析为bash值，请尝试此脚本。这也可以处理注释。参见下面的示例用法:

# pparse.py

import yaml
import sys
            
def parse_yaml(yml, name=''):
    if isinstance(yml, list):
        for data in yml:
            parse_yaml(data, name)
    elif isinstance(yml, dict):
        if (len(yml) == 1) and not isinstance(yml[list(yml.keys())[0]], list):
            print(str(name+'_'+list(yml.keys())[0]+'='+str(yml[list(yml.keys())[0]]))[1:])
        else:
            for key in yml:
                parse_yaml(yml[key], name+'_'+key)

            
if __name__=="__main__":
    yml = yaml.safe_load(open(sys.argv[1]))
    parse_yaml(yml)

test.yml

- folders:
  - temp_folder: datasets/outputs/tmp
  - keep_temp_folder: false

- MFA:
  - MFA: false
  - speaker_count: 1
  - G2P: 
    - G2P: true
    - G2P_model: models/MFA/G2P/english_g2p.zip
    - input_folder: datasets/outputs/Youtube/ljspeech/wavs
    - output_dictionary: datasets/outputs/Youtube/ljspeech/dictionary.dict
  - dictionary: datasets/outputs/Youtube/ljspeech/dictionary.dict
  - acoustic_model: models/MFA/acoustic/english.zip
  - temp_folder: datasets/outputs/tmp
  - jobs: 4
  - align:
    - config: configs/MFA/align.yaml
    - dataset: datasets/outputs/Youtube/ljspeech/wavs
    - output_folder: datasets/outputs/Youtube/ljspeech-aligned

- TTS:
  - output_folder: datasets/outputs/Youtube
  - preprocess:
    - preprocess: true
    - config: configs/TTS_preprocess.yaml # Default Config 
    - textgrid_folder: datasets/outputs/Youtube/ljspeech-aligned
    - output_duration_folder: datasets/outputs/Youtube/durations
    - sampling_rate: 44000 # Make sure sampling rate is same here as in preprocess config

需要YAML值的脚本:

yaml() {
    eval $(python pparse.py "$1")
}

yaml "test.yml"

# What python printed to bash:

folders_temp_folder=datasets/outputs/tmp
folders_keep_temp_folder=False
MFA_MFA=False
MFA_speaker_count=1
MFA_G2P_G2P=True
MFA_G2P_G2P_model=models/MFA/G2P/english_g2p.zip
MFA_G2P_input_folder=datasets/outputs/Youtube/ljspeech/wavs
MFA_G2P_output_dictionary=datasets/outputs/Youtube/ljspeech/dictionary.dict
MFA_dictionary=datasets/outputs/Youtube/ljspeech/dictionary.dict
MFA_acoustic_model=models/MFA/acoustic/english.zip
MFA_temp_folder=datasets/outputs/tmp
MFA_jobs=4
MFA_align_config=configs/MFA/align.yaml
MFA_align_dataset=datasets/outputs/Youtube/ljspeech/wavs
MFA_align_output_folder=datasets/outputs/Youtube/ljspeech-aligned
TTS_output_folder=datasets/outputs/Youtube
TTS_preprocess_preprocess=True
TTS_preprocess_config=configs/TTS_preprocess.yaml
TTS_preprocess_textgrid_folder=datasets/outputs/Youtube/ljspeech-aligned
TTS_preprocess_output_duration_folder=datasets/outputs/Youtube/durations
TTS_preprocess_sampling_rate=44000

使用bash访问变量:

echo "$TTS_preprocess_sampling_rate";
>>> 44000

如果你有python 2和PyYAML，你可以使用我写的这个解析器parse_yaml.py。它做的一些更整洁的事情是让您选择一个前缀(以防您有多个具有类似变量的文件)，并从yaml文件中选择一个值。

例如，如果你有这些yaml文件:

staging.yaml:

db:
    type: sqllite
    host: 127.0.0.1
    user: dev
    password: password123

prod.yaml:

db:
    type: postgres
    host: 10.0.50.100
    user: postgres
    password: password123

您可以加载两者而不会产生冲突。

$ eval $(python parse_yaml.py prod.yaml --prefix prod --cap)
$ eval $(python parse_yaml.py staging.yaml --prefix stg --cap)
$ echo $PROD_DB_HOST
10.0.50.100
$ echo $STG_DB_HOST
127.0.0.1

甚至可以选择你想要的值。

$ prod_user=$(python parse_yaml.py prod.yaml --get db_user)
$ prod_port=$(python parse_yaml.py prod.yaml --get db_port --default 5432)
$ echo prod_user
postgres
$ echo prod_port
5432

我知道这是非常具体的，但我认为我的回答可能对某些用户有帮助。 如果你的机器上安装了node和npm，你可以使用js-yaml。 首次安装:

npm i -g js-yaml
# or locally
npm i js-yaml

然后在bash脚本中

#!/bin/bash
js-yaml your-yaml-file.yml

如果你正在使用jq，你也可以这样做

#!/bin/bash
json="$(js-yaml your-yaml-file.yml)"
aproperty="$(jq '.apropery' <<< "$json")"
echo "$aproperty"

因为js-yaml将yaml文件转换为json字符串文字。然后，您可以在unix系统中的任何json解析器中使用该字符串。

很难说，因为这取决于您希望解析器从YAML文档中提取什么。对于简单的情况，你可以使用grep、cut、awk等。对于更复杂的解析，您需要使用成熟的解析库，如Python的PyYAML或YAML::Perl。