如何正确地将 .YAML 文件转换为 Google Sheet table？ .YAML 文件不支持导入，在线转换器不起作用
How can I transform the .YAML file to a Google Sheet table correctly? .YAML files are not supported for import and online converters didn't work
所以，我有一个静态数据导出文件，它只能作为 .YAML 文件使用。它非常大，所以这里有一段代码供您了解它的样子：
2047:
activities:
copying:
time: 720
invention:
materials:
- quantity: 2
typeID: 20416
- quantity: 2
typeID: 20415
products:
- probability: 0.34
quantity: 10
typeID: 2049
skills:
- level: 1
typeID: 11529
- level: 1
typeID: 11442
- level: 1
typeID: 23121
time: 13800
manufacturing:
materials:
- quantity: 1062
typeID: 34
- quantity: 2
typeID: 35
- quantity: 53
typeID: 36
products:
- quantity: 1
typeID: 2046
skills:
- level: 1
typeID: 3380
time: 900
research_material:
time: 315
research_time:
time: 315
blueprintTypeID: 2047
maxProductionLimit: 200
26407:
activities:
copying:
materials:
- quantity: 10
typeID: 3812
skills:
- level: 1
typeID: 26260
time: 36000
manufacturing:
materials:
- quantity: 24
typeID: 25617
- quantity: 35
typeID: 25619
- quantity: 1
typeID: 11486
- quantity: 27
typeID: 25607
products:
- quantity: 1
typeID: 26406
skills:
- level: 5
typeID: 3380
- level: 1
typeID: 11449
- level: 1
typeID: 11452
- level: 1
typeID: 26260
time: 45000
research_material:
skills:
- level: 5
typeID: 3409
- level: 1
typeID: 26260
time: 15750
research_time:
skills:
- level: 5
typeID: 3403
- level: 1
typeID: 26260
time: 15750
blueprintTypeID: 26407
maxProductionLimit: 1
31705:
activities:
copying:
time: 1200
invention:
materials:
- quantity: 1
typeID: 20424
- quantity: 1
typeID: 20423
products:
- probability: 0.34
quantity: 1
typeID: 31711
skills:
- level: 1
typeID: 11451
- level: 1
typeID: 11452
- level: 1
typeID: 21791
time: 7200
manufacturing:
materials:
- quantity: 2
typeID: 25593
- quantity: 4
typeID: 25601
- quantity: 3
typeID: 25599
products:
- quantity: 1
typeID: 31704
skills:
- level: 1
typeID: 3380
- level: 1
typeID: 26257
time: 1500
research_material:
skills:
- level: 1
typeID: 3409
- level: 1
typeID: 26257
time: 525
research_time:
skills:
- level: 1
typeID: 3403
- level: 1
typeID: 26257
time: 525
blueprintTypeID: 31705
maxProductionLimit: 100
我想将该数据转换为 Google Sheets table，但是我遇到了一个问题：我无法通过“导入”来使用 .YAML 文件Google Sheets 中的函数，因为不支持 .YAML 文件。
我尝试了 20 多种不同的在线转换器，还尝试将 .YAML 转换为 .CSV、.HTML 和其他符合 Google Sheets 导入条件的文件类型，但它要么无法处理如此大的文件，要么导致 table 丢失了一半的内容，原始数据和列之间的数据放置不正确。
目前，我什至没有考虑格式化数据以及我希望结果 table 看起来像什么。我只想以某种方式将该 .YAML 转换为正常工作的 Google Sheet table，它不会丢失任何数据。
请告诉我你如何解决这个问题。
P.S.: 另外，请记住，我对编程绝对是零，我唯一能做的就是将代码复制粘贴到 Google 脚本中，附加到 Google Sheet 然后调用包含函数。如果您的解决方案与 GSheets 和 GScripts 环境分开工作，请同时告知像我这样的 lamer 如何使用它的实际方式。
将 YAML 转换为 JSON
这是转换为JSON的数据。
{
"2047": {
"activities": {
"copying": {
"time": 720
},
"invention": {
"materials": [
{
"quantity": 2,
"typeID": 20416
},
{
"quantity": 2,
"typeID": 20415
}
],
"products": [
{
"probability": 0.34,
"quantity": 10,
"typeID": 2049
}
],
"skills": [
{
"level": 1,
"typeID": 11529
},
{
"level": 1,
"typeID": 11442
},
{
"level": 1,
"typeID": 23121
}
],
"time": 13800
},
"manufacturing": {
"materials": [
{
"quantity": 1062,
"typeID": 34
},
{
"quantity": 2,
"typeID": 35
},
{
"quantity": 53,
"typeID": 36
}
],
"products": [
{
"quantity": 1,
"typeID": 2046
}
],
"skills": [
{
"level": 1,
"typeID": 3380
}
],
"time": 900
},
"research_material": {
"time": 315
},
"research_time": {
"time": 315
}
},
"blueprintTypeID": 2047,
"maxProductionLimit": 200
},
"26407": {
"activities": {
"copying": {
"materials": [
{
"quantity": 10,
"typeID": 3812
}
],
"skills": [
{
"level": 1,
"typeID": 26260
}
],
"time": 36000
},
"manufacturing": {
"materials": [
{
"quantity": 24,
"typeID": 25617
},
{
"quantity": 35,
"typeID": 25619
},
{
"quantity": 1,
"typeID": 11486
},
{
"quantity": 27,
"typeID": 25607
}
],
"products": [
{
"quantity": 1,
"typeID": 26406
}
],
"skills": [
{
"level": 5,
"typeID": 3380
},
{
"level": 1,
"typeID": 11449
},
{
"level": 1,
"typeID": 11452
},
{
"level": 1,
"typeID": 26260
}
],
"time": 45000
},
"research_material": {
"skills": [
{
"level": 5,
"typeID": 3409
},
{
"level": 1,
"typeID": 26260
}
],
"time": 15750
},
"research_time": {
"skills": [
{
"level": 5,
"typeID": 3403
},
{
"level": 1,
"typeID": 26260
}
],
"time": 15750
}
},
"blueprintTypeID": 26407,
"maxProductionLimit": 1
},
"31705": {
"activities": {
"copying": {
"time": 1200
},
"invention": {
"materials": [
{
"quantity": 1,
"typeID": 20424
},
{
"quantity": 1,
"typeID": 20423
}
],
"products": [
{
"probability": 0.34,
"quantity": 1,
"typeID": 31711
}
],
"skills": [
{
"level": 1,
"typeID": 11451
},
{
"level": 1,
"typeID": 11452
},
{
"level": 1,
"typeID": 21791
}
],
"time": 7200
},
"manufacturing": {
"materials": [
{
"quantity": 2,
"typeID": 25593
},
{
"quantity": 4,
"typeID": 25601
},
{
"quantity": 3,
"typeID": 25599
}
],
"products": [
{
"quantity": 1,
"typeID": 31704
}
],
"skills": [
{
"level": 1,
"typeID": 3380
},
{
"level": 1,
"typeID": 26257
}
],
"time": 1500
},
"research_material": {
"skills": [
{
"level": 1,
"typeID": 3409
},
{
"level": 1,
"typeID": 26257
}
],
"time": 525
},
"research_time": {
"skills": [
{
"level": 1,
"typeID": 3403
},
{
"level": 1,
"typeID": 26257
}
],
"time": 525
}
},
"blueprintTypeID": 31705,
"maxProductionLimit": 100
}
}
所以，我有一个静态数据导出文件，它只能作为 .YAML 文件使用。它非常大，所以这里有一段代码供您了解它的样子：
2047:
activities:
copying:
time: 720
invention:
materials:
- quantity: 2
typeID: 20416
- quantity: 2
typeID: 20415
products:
- probability: 0.34
quantity: 10
typeID: 2049
skills:
- level: 1
typeID: 11529
- level: 1
typeID: 11442
- level: 1
typeID: 23121
time: 13800
manufacturing:
materials:
- quantity: 1062
typeID: 34
- quantity: 2
typeID: 35
- quantity: 53
typeID: 36
products:
- quantity: 1
typeID: 2046
skills:
- level: 1
typeID: 3380
time: 900
research_material:
time: 315
research_time:
time: 315
blueprintTypeID: 2047
maxProductionLimit: 200
26407:
activities:
copying:
materials:
- quantity: 10
typeID: 3812
skills:
- level: 1
typeID: 26260
time: 36000
manufacturing:
materials:
- quantity: 24
typeID: 25617
- quantity: 35
typeID: 25619
- quantity: 1
typeID: 11486
- quantity: 27
typeID: 25607
products:
- quantity: 1
typeID: 26406
skills:
- level: 5
typeID: 3380
- level: 1
typeID: 11449
- level: 1
typeID: 11452
- level: 1
typeID: 26260
time: 45000
research_material:
skills:
- level: 5
typeID: 3409
- level: 1
typeID: 26260
time: 15750
research_time:
skills:
- level: 5
typeID: 3403
- level: 1
typeID: 26260
time: 15750
blueprintTypeID: 26407
maxProductionLimit: 1
31705:
activities:
copying:
time: 1200
invention:
materials:
- quantity: 1
typeID: 20424
- quantity: 1
typeID: 20423
products:
- probability: 0.34
quantity: 1
typeID: 31711
skills:
- level: 1
typeID: 11451
- level: 1
typeID: 11452
- level: 1
typeID: 21791
time: 7200
manufacturing:
materials:
- quantity: 2
typeID: 25593
- quantity: 4
typeID: 25601
- quantity: 3
typeID: 25599
products:
- quantity: 1
typeID: 31704
skills:
- level: 1
typeID: 3380
- level: 1
typeID: 26257
time: 1500
research_material:
skills:
- level: 1
typeID: 3409
- level: 1
typeID: 26257
time: 525
research_time:
skills:
- level: 1
typeID: 3403
- level: 1
typeID: 26257
time: 525
blueprintTypeID: 31705
maxProductionLimit: 100
我想将该数据转换为 Google Sheets table，但是我遇到了一个问题：我无法通过“导入”来使用 .YAML 文件Google Sheets 中的函数，因为不支持 .YAML 文件。
我尝试了 20 多种不同的在线转换器，还尝试将 .YAML 转换为 .CSV、.HTML 和其他符合 Google Sheets 导入条件的文件类型，但它要么无法处理如此大的文件，要么导致 table 丢失了一半的内容，原始数据和列之间的数据放置不正确。
目前，我什至没有考虑格式化数据以及我希望结果 table 看起来像什么。我只想以某种方式将该 .YAML 转换为正常工作的 Google Sheet table，它不会丢失任何数据。
请告诉我你如何解决这个问题。
P.S.: 另外，请记住，我对编程绝对是零，我唯一能做的就是将代码复制粘贴到 Google 脚本中，附加到 Google Sheet 然后调用包含函数。如果您的解决方案与 GSheets 和 GScripts 环境分开工作，请同时告知像我这样的 lamer 如何使用它的实际方式。
将 YAML 转换为 JSON
这是转换为JSON的数据。
{
"2047": {
"activities": {
"copying": {
"time": 720
},
"invention": {
"materials": [
{
"quantity": 2,
"typeID": 20416
},
{
"quantity": 2,
"typeID": 20415
}
],
"products": [
{
"probability": 0.34,
"quantity": 10,
"typeID": 2049
}
],
"skills": [
{
"level": 1,
"typeID": 11529
},
{
"level": 1,
"typeID": 11442
},
{
"level": 1,
"typeID": 23121
}
],
"time": 13800
},
"manufacturing": {
"materials": [
{
"quantity": 1062,
"typeID": 34
},
{
"quantity": 2,
"typeID": 35
},
{
"quantity": 53,
"typeID": 36
}
],
"products": [
{
"quantity": 1,
"typeID": 2046
}
],
"skills": [
{
"level": 1,
"typeID": 3380
}
],
"time": 900
},
"research_material": {
"time": 315
},
"research_time": {
"time": 315
}
},
"blueprintTypeID": 2047,
"maxProductionLimit": 200
},
"26407": {
"activities": {
"copying": {
"materials": [
{
"quantity": 10,
"typeID": 3812
}
],
"skills": [
{
"level": 1,
"typeID": 26260
}
],
"time": 36000
},
"manufacturing": {
"materials": [
{
"quantity": 24,
"typeID": 25617
},
{
"quantity": 35,
"typeID": 25619
},
{
"quantity": 1,
"typeID": 11486
},
{
"quantity": 27,
"typeID": 25607
}
],
"products": [
{
"quantity": 1,
"typeID": 26406
}
],
"skills": [
{
"level": 5,
"typeID": 3380
},
{
"level": 1,
"typeID": 11449
},
{
"level": 1,
"typeID": 11452
},
{
"level": 1,
"typeID": 26260
}
],
"time": 45000
},
"research_material": {
"skills": [
{
"level": 5,
"typeID": 3409
},
{
"level": 1,
"typeID": 26260
}
],
"time": 15750
},
"research_time": {
"skills": [
{
"level": 5,
"typeID": 3403
},
{
"level": 1,
"typeID": 26260
}
],
"time": 15750
}
},
"blueprintTypeID": 26407,
"maxProductionLimit": 1
},
"31705": {
"activities": {
"copying": {
"time": 1200
},
"invention": {
"materials": [
{
"quantity": 1,
"typeID": 20424
},
{
"quantity": 1,
"typeID": 20423
}
],
"products": [
{
"probability": 0.34,
"quantity": 1,
"typeID": 31711
}
],
"skills": [
{
"level": 1,
"typeID": 11451
},
{
"level": 1,
"typeID": 11452
},
{
"level": 1,
"typeID": 21791
}
],
"time": 7200
},
"manufacturing": {
"materials": [
{
"quantity": 2,
"typeID": 25593
},
{
"quantity": 4,
"typeID": 25601
},
{
"quantity": 3,
"typeID": 25599
}
],
"products": [
{
"quantity": 1,
"typeID": 31704
}
],
"skills": [
{
"level": 1,
"typeID": 3380
},
{
"level": 1,
"typeID": 26257
}
],
"time": 1500
},
"research_material": {
"skills": [
{
"level": 1,
"typeID": 3409
},
{
"level": 1,
"typeID": 26257
}
],
"time": 525
},
"research_time": {
"skills": [
{
"level": 1,
"typeID": 3403
},
{
"level": 1,
"typeID": 26257
}
],
"time": 525
}
},
"blueprintTypeID": 31705,
"maxProductionLimit": 100
}
}