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661
LICENSE
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661
LICENSE
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@@ -0,0 +1,661 @@
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GNU AFFERO GENERAL PUBLIC LICENSE
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Version 3, 19 November 2007
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Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
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Everyone is permitted to copy and distribute verbatim copies
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|
||||
occurring solely as a consequence of using peer-to-peer transmission
|
||||
to receive a copy likewise does not require acceptance. However,
|
||||
nothing other than this License grants you permission to propagate or
|
||||
modify any covered work. These actions infringe copyright if you do
|
||||
not accept this License. Therefore, by modifying or propagating a
|
||||
covered work, you indicate your acceptance of this License to do so.
|
||||
|
||||
10. Automatic Licensing of Downstream Recipients.
|
||||
|
||||
Each time you convey a covered work, the recipient automatically
|
||||
receives a license from the original licensors, to run, modify and
|
||||
propagate that work, subject to this License. You are not responsible
|
||||
for enforcing compliance by third parties with this License.
|
||||
|
||||
An "entity transaction" is a transaction transferring control of an
|
||||
organization, or substantially all assets of one, or subdividing an
|
||||
organization, or merging organizations. If propagation of a covered
|
||||
work results from an entity transaction, each party to that
|
||||
transaction who receives a copy of the work also receives whatever
|
||||
licenses to the work the party's predecessor in interest had or could
|
||||
give under the previous paragraph, plus a right to possession of the
|
||||
Corresponding Source of the work from the predecessor in interest, if
|
||||
the predecessor has it or can get it with reasonable efforts.
|
||||
|
||||
You may not impose any further restrictions on the exercise of the
|
||||
rights granted or affirmed under this License. For example, you may
|
||||
not impose a license fee, royalty, or other charge for exercise of
|
||||
rights granted under this License, and you may not initiate litigation
|
||||
(including a cross-claim or counterclaim in a lawsuit) alleging that
|
||||
any patent claim is infringed by making, using, selling, offering for
|
||||
sale, or importing the Program or any portion of it.
|
||||
|
||||
11. Patents.
|
||||
|
||||
A "contributor" is a copyright holder who authorizes use under this
|
||||
License of the Program or a work on which the Program is based. The
|
||||
work thus licensed is called the contributor's "contributor version".
|
||||
|
||||
A contributor's "essential patent claims" are all patent claims
|
||||
owned or controlled by the contributor, whether already acquired or
|
||||
hereafter acquired, that would be infringed by some manner, permitted
|
||||
by this License, of making, using, or selling its contributor version,
|
||||
but do not include claims that would be infringed only as a
|
||||
consequence of further modification of the contributor version. For
|
||||
purposes of this definition, "control" includes the right to grant
|
||||
patent sublicenses in a manner consistent with the requirements of
|
||||
this License.
|
||||
|
||||
Each contributor grants you a non-exclusive, worldwide, royalty-free
|
||||
patent license under the contributor's essential patent claims, to
|
||||
make, use, sell, offer for sale, import and otherwise run, modify and
|
||||
propagate the contents of its contributor version.
|
||||
|
||||
In the following three paragraphs, a "patent license" is any express
|
||||
agreement or commitment, however denominated, not to enforce a patent
|
||||
(such as an express permission to practice a patent or covenant not to
|
||||
sue for patent infringement). To "grant" such a patent license to a
|
||||
party means to make such an agreement or commitment not to enforce a
|
||||
patent against the party.
|
||||
|
||||
If you convey a covered work, knowingly relying on a patent license,
|
||||
and the Corresponding Source of the work is not available for anyone
|
||||
to copy, free of charge and under the terms of this License, through a
|
||||
publicly available network server or other readily accessible means,
|
||||
then you must either (1) cause the Corresponding Source to be so
|
||||
available, or (2) arrange to deprive yourself of the benefit of the
|
||||
patent license for this particular work, or (3) arrange, in a manner
|
||||
consistent with the requirements of this License, to extend the patent
|
||||
license to downstream recipients. "Knowingly relying" means you have
|
||||
actual knowledge that, but for the patent license, your conveying the
|
||||
covered work in a country, or your recipient's use of the covered work
|
||||
in a country, would infringe one or more identifiable patents in that
|
||||
country that you have reason to believe are valid.
|
||||
|
||||
If, pursuant to or in connection with a single transaction or
|
||||
arrangement, you convey, or propagate by procuring conveyance of, a
|
||||
covered work, and grant a patent license to some of the parties
|
||||
receiving the covered work authorizing them to use, propagate, modify
|
||||
or convey a specific copy of the covered work, then the patent license
|
||||
you grant is automatically extended to all recipients of the covered
|
||||
work and works based on it.
|
||||
|
||||
A patent license is "discriminatory" if it does not include within
|
||||
the scope of its coverage, prohibits the exercise of, or is
|
||||
conditioned on the non-exercise of one or more of the rights that are
|
||||
specifically granted under this License. You may not convey a covered
|
||||
work if you are a party to an arrangement with a third party that is
|
||||
in the business of distributing software, under which you make payment
|
||||
to the third party based on the extent of your activity of conveying
|
||||
the work, and under which the third party grants, to any of the
|
||||
parties who would receive the covered work from you, a discriminatory
|
||||
patent license (a) in connection with copies of the covered work
|
||||
conveyed by you (or copies made from those copies), or (b) primarily
|
||||
for and in connection with specific products or compilations that
|
||||
contain the covered work, unless you entered into that arrangement,
|
||||
or that patent license was granted, prior to 28 March 2007.
|
||||
|
||||
Nothing in this License shall be construed as excluding or limiting
|
||||
any implied license or other defenses to infringement that may
|
||||
otherwise be available to you under applicable patent law.
|
||||
|
||||
12. No Surrender of Others' Freedom.
|
||||
|
||||
If conditions are imposed on you (whether by court order, agreement or
|
||||
otherwise) that contradict the conditions of this License, they do not
|
||||
excuse you from the conditions of this License. If you cannot convey a
|
||||
covered work so as to satisfy simultaneously your obligations under this
|
||||
License and any other pertinent obligations, then as a consequence you may
|
||||
not convey it at all. For example, if you agree to terms that obligate you
|
||||
to collect a royalty for further conveying from those to whom you convey
|
||||
the Program, the only way you could satisfy both those terms and this
|
||||
License would be to refrain entirely from conveying the Program.
|
||||
|
||||
13. Remote Network Interaction; Use with the GNU General Public License.
|
||||
|
||||
Notwithstanding any other provision of this License, if you modify the
|
||||
Program, your modified version must prominently offer all users
|
||||
interacting with it remotely through a computer network (if your version
|
||||
supports such interaction) an opportunity to receive the Corresponding
|
||||
Source of your version by providing access to the Corresponding Source
|
||||
from a network server at no charge, through some standard or customary
|
||||
means of facilitating copying of software. This Corresponding Source
|
||||
shall include the Corresponding Source for any work covered by version 3
|
||||
of the GNU General Public License that is incorporated pursuant to the
|
||||
following paragraph.
|
||||
|
||||
Notwithstanding any other provision of this License, you have
|
||||
permission to link or combine any covered work with a work licensed
|
||||
under version 3 of the GNU General Public License into a single
|
||||
combined work, and to convey the resulting work. The terms of this
|
||||
License will continue to apply to the part which is the covered work,
|
||||
but the work with which it is combined will remain governed by version
|
||||
3 of the GNU General Public License.
|
||||
|
||||
14. Revised Versions of this License.
|
||||
|
||||
The Free Software Foundation may publish revised and/or new versions of
|
||||
the GNU Affero General Public License from time to time. Such new versions
|
||||
will be similar in spirit to the present version, but may differ in detail to
|
||||
address new problems or concerns.
|
||||
|
||||
Each version is given a distinguishing version number. If the
|
||||
Program specifies that a certain numbered version of the GNU Affero General
|
||||
Public License "or any later version" applies to it, you have the
|
||||
option of following the terms and conditions either of that numbered
|
||||
version or of any later version published by the Free Software
|
||||
Foundation. If the Program does not specify a version number of the
|
||||
GNU Affero General Public License, you may choose any version ever published
|
||||
by the Free Software Foundation.
|
||||
|
||||
If the Program specifies that a proxy can decide which future
|
||||
versions of the GNU Affero General Public License can be used, that proxy's
|
||||
public statement of acceptance of a version permanently authorizes you
|
||||
to choose that version for the Program.
|
||||
|
||||
Later license versions may give you additional or different
|
||||
permissions. However, no additional obligations are imposed on any
|
||||
author or copyright holder as a result of your choosing to follow a
|
||||
later version.
|
||||
|
||||
15. Disclaimer of Warranty.
|
||||
|
||||
THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
|
||||
APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
|
||||
HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
|
||||
OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
|
||||
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
|
||||
PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
|
||||
IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
|
||||
ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
|
||||
|
||||
16. Limitation of Liability.
|
||||
|
||||
IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
|
||||
WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
|
||||
THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
|
||||
GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
|
||||
USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
|
||||
DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
|
||||
PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
|
||||
EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
|
||||
SUCH DAMAGES.
|
||||
|
||||
17. Interpretation of Sections 15 and 16.
|
||||
|
||||
If the disclaimer of warranty and limitation of liability provided
|
||||
above cannot be given local legal effect according to their terms,
|
||||
reviewing courts shall apply local law that most closely approximates
|
||||
an absolute waiver of all civil liability in connection with the
|
||||
Program, unless a warranty or assumption of liability accompanies a
|
||||
copy of the Program in return for a fee.
|
||||
|
||||
END OF TERMS AND CONDITIONS
|
||||
|
||||
How to Apply These Terms to Your New Programs
|
||||
|
||||
If you develop a new program, and you want it to be of the greatest
|
||||
possible use to the public, the best way to achieve this is to make it
|
||||
free software which everyone can redistribute and change under these terms.
|
||||
|
||||
To do so, attach the following notices to the program. It is safest
|
||||
to attach them to the start of each source file to most effectively
|
||||
state the exclusion of warranty; and each file should have at least
|
||||
the "copyright" line and a pointer to where the full notice is found.
|
||||
|
||||
<one line to give the program's name and a brief idea of what it does.>
|
||||
Copyright (C) <year> <name of author>
|
||||
|
||||
This program is free software: you can redistribute it and/or modify
|
||||
it under the terms of the GNU Affero General Public License as published by
|
||||
the Free Software Foundation, either version 3 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU Affero General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU Affero General Public License
|
||||
along with this program. If not, see <https://www.gnu.org/licenses/>.
|
||||
|
||||
Also add information on how to contact you by electronic and paper mail.
|
||||
|
||||
If your software can interact with users remotely through a computer
|
||||
network, you should also make sure that it provides a way for users to
|
||||
get its source. For example, if your program is a web application, its
|
||||
interface could display a "Source" link that leads users to an archive
|
||||
of the code. There are many ways you could offer source, and different
|
||||
solutions will be better for different programs; see section 13 for the
|
||||
specific requirements.
|
||||
|
||||
You should also get your employer (if you work as a programmer) or school,
|
||||
if any, to sign a "copyright disclaimer" for the program, if necessary.
|
||||
For more information on this, and how to apply and follow the GNU AGPL, see
|
||||
<https://www.gnu.org/licenses/>.
|
||||
14
build.gradle
14
build.gradle
@@ -4,7 +4,7 @@ plugins {
|
||||
}
|
||||
|
||||
group = 'com'
|
||||
version = '2.2'
|
||||
version = '2.8'
|
||||
|
||||
repositories {
|
||||
mavenCentral()
|
||||
@@ -24,12 +24,22 @@ repositories {
|
||||
dependencies {
|
||||
compileOnly "org.spigotmc:spigot-api:1.13-R0.1-SNAPSHOT"
|
||||
implementation 'org.bstats:bstats-bukkit:3.0.2'
|
||||
implementation 'org.jodd:jodd-http:6.3.0'
|
||||
implementation('org.jodd:jodd-http:6.3.0') {
|
||||
exclude group: 'org.jodd', module: 'jodd-core'
|
||||
exclude group: 'org.jodd', module: 'jodd-bean'
|
||||
}
|
||||
implementation 'org.json:json:20231013'
|
||||
}
|
||||
|
||||
shadowJar {
|
||||
archiveFileName = "MineChatGPT-${project.version}.jar"
|
||||
minimize()
|
||||
mergeServiceFiles()
|
||||
|
||||
exclude 'META-INF/**'
|
||||
exclude '**/*.properties'
|
||||
exclude '**/jodd/http/upload/**'
|
||||
|
||||
relocate 'jodd', 'com.ddaodan.shaded.jodd'
|
||||
relocate 'org.json', 'com.ddaodan.minechatgpt.libs.org.json'
|
||||
relocate 'org.bstats', 'com.ddaodan.minechatgpt.libs.org.bstats'
|
||||
|
||||
18
changelog.md
18
changelog.md
@@ -1,4 +1,22 @@
|
||||
# 更新日志
|
||||
## 2.7
|
||||
- 多语言支持
|
||||
- 配置文件添加双语注释
|
||||
- 新增负载均衡，可轮询或随机选择API key
|
||||
- 优化构建配置，插件体积减小
|
||||
- 项目规范化
|
||||
在此感谢Trae，以上功能都是靠它才能实现的！
|
||||
## 2.6
|
||||
- 添加角色功能
|
||||
- 移除prompt功能
|
||||
## 2.5
|
||||
- 允许插件在Folia加载
|
||||
- 修复 #4：[BUG]部分情况下回复乱码
|
||||
## 2.4
|
||||
- 添加自定义prompt
|
||||
- 移除了没有任何效果的配置文件自动更新功能
|
||||
## 2.3
|
||||
- 修复 #3：[BUG]提问乱码/答非所问
|
||||
## 2.2
|
||||
- 修复插件无法加载
|
||||
- 修复 #2：模型切换实际并不生效
|
||||
|
||||
@@ -0,0 +1,2 @@
|
||||
systemProp.org.gradle.internal.http.connectionTimeout=60000
|
||||
systemProp.org.gradle.internal.http.socketTimeout=120000
|
||||
|
||||
2
gradle/wrapper/gradle-wrapper.properties
vendored
2
gradle/wrapper/gradle-wrapper.properties
vendored
@@ -1,7 +1,7 @@
|
||||
distributionBase=GRADLE_USER_HOME
|
||||
distributionPath=wrapper/dists
|
||||
distributionUrl=https\://services.gradle.org/distributions/gradle-8.7-bin.zip
|
||||
networkTimeout=10000
|
||||
networkTimeout=60000
|
||||
validateDistributionUrl=true
|
||||
zipStoreBase=GRADLE_USER_HOME
|
||||
zipStorePath=wrapper/dists
|
||||
|
||||
155
readme.md
155
readme.md
@@ -1,111 +1,108 @@
|
||||
# MineChatGPT
|
||||
|
||||
[](https://modrinth.com/plugin/minechatgpt) [](https://www.spigotmc.org/resources/minechatgpt.118963/)  
|
||||
   [](https://modrinth.com/plugin/minechatgpt/versions) [](https://www.spigotmc.org/resources/minechatgpt.118963/)
|
||||
|
||||
在Minecraft中与ChatGPT交流
|
||||
理论支持全版本，欢迎测试
|
||||
|
||||
所有的代码都是ChatGPT写的哦
|
||||
|
||||
## 功能
|
||||
- [x] OpenAPI格式
|
||||
- [x] 自定义模型
|
||||
- [x] ChatGPT反代
|
||||
- [x] 指令补全
|
||||
- [ ] 上下文对话
|
||||
- [ ] 自定义prompt
|
||||
- OpenAPI格式
|
||||
- 自定义模型
|
||||
- ChatGPT反代
|
||||
- 负载均衡
|
||||
- 指令补全
|
||||
- 上下文对话
|
||||
- 多角色
|
||||
- Folia支持
|
||||
|
||||
## 安装
|
||||
- 下载插件，放在plugins文件夹中
|
||||
- 重启服务器
|
||||
> 为兼容更多版本，插件使用1.13版本进行构建，因此在较高版本加载插件时，控制台会出现以下错误信息，这属于正常现象。
|
||||
> ```
|
||||
> [Server thread/WARN]: Initializing Legacy Material Support. Unless you have legacy plugins and/or data this is a bug!
|
||||
> [Server thread/WARN]: Legacy plugin MineChatGPT v1.0 does not specify an api-version.
|
||||
> ```
|
||||
1. 下载插件，放在plugins文件夹中
|
||||
2. 重启服务器
|
||||
> 为兼容更多版本，插件没有规定Bukkit API version，因此在较高版本加载插件时，控制台可能会出现以下错误信息，这属于正常现象。
|
||||
> ```
|
||||
> [Server thread/WARN]: Initializing Legacy Material Support. Unless you have legacy plugins and/or data this is a bug!
|
||||
> [Server thread/WARN]: Legacy plugin MineChatGPT v1.0 does not specify an api-version.
|
||||
> ```
|
||||
3. 打开配置文件`config.yml`，修改以下设置：
|
||||
```yaml
|
||||
# ======================================================
|
||||
# API Configuration
|
||||
# API 设置
|
||||
# ======================================================
|
||||
api:
|
||||
# Your OpenAI API keys, used for authentication
|
||||
# To obtain an API key, visit https://platform.openai.com/account/api-keys and create a new API key
|
||||
# 你的 OpenAI API key，用于身份验证
|
||||
# 获取 API key 的方法：访问 https://platform.openai.com/account/api-keys 并创建一个新的 API key
|
||||
keys:
|
||||
- "sk-your_openai_api_key_1"
|
||||
# You can add multiple API keys below
|
||||
# 可以添加多个API key
|
||||
# - "sk-your_openai_api_key_2"
|
||||
# - "sk-your_openai_api_key_3"
|
||||
|
||||
# API key selection method: "round_robin" or "random"
|
||||
# Round Robin: Use each API key in turn
|
||||
# Random: Randomly select an API key
|
||||
# API key 选择方法："round_robin"（轮询）或 "random"（随机）
|
||||
# 轮询：依次使用每个API key
|
||||
# 随机：随机选择一个API key
|
||||
selection_method: "round_robin"
|
||||
|
||||
# The base URL for the OpenAI API, used to construct requests
|
||||
# If you cannot access the official API, you can use a proxy service
|
||||
# OpenAI API 的基础 URL，用于构建请求
|
||||
# 如果你无法访问官方API，可以使用代理服务
|
||||
base_url: "https://api.openai.com/v1"
|
||||
```
|
||||
4. 在控制台中输入`/chatgpt reload`重新加载配置文件
|
||||
|
||||
## 截图
|
||||
- 服务端截图（Spigot 1.20.1）
|
||||
|
||||
|
||||
- 插件截图
|
||||
|
||||
|
||||
- 对话截图（使用FastGPT训练的自定义知识库）
|
||||
|
||||
## 配置文件`config.yml`
|
||||
```yaml
|
||||
# API 相关设置
|
||||
api:
|
||||
# 你的 OpenAI API key，用于身份验证
|
||||
# 获取 API key 的方法：访问 https://platform.openai.com/account/api-keys 并创建一个新的 API key
|
||||
key: "sk-your_openai_api_key"
|
||||
# OpenAI API 的基础 URL，用于构建请求
|
||||
base_url: "https://api.openai.com/v1"
|
||||
# 支持的模型列表
|
||||
models:
|
||||
# OpenAI ChatGPT
|
||||
- "gpt-3.5-turbo"
|
||||
- "gpt-3.5-turbo-instruct"
|
||||
- "gpt-4"
|
||||
- "gpt-4-turbo"
|
||||
- "gpt-4-turbo-preview"
|
||||
- "gpt-4o"
|
||||
# Google Gemini
|
||||
# - "gemini-pro"
|
||||
# - "gemini-1.5-pro"
|
||||
# Anthropic Claude
|
||||
# - "claude-3-opus"
|
||||
# - "claude-3-5-sonnet"
|
||||
# 以及更多...
|
||||
# 默认使用的模型
|
||||
default_model: "gpt-3.5-turbo"
|
||||
# 消息相关设置
|
||||
messages:
|
||||
reload: "&a已重新加载配置文件！"
|
||||
help: "&e===== MineChatGPT 帮助 ====="
|
||||
help_ask: "&e/chatgpt <text> - 向ChatGPT提问"
|
||||
help_reload: "&e/chatgpt reload - 重新加载配置文件"
|
||||
help_model: "&e/chatgpt model <model_name> - 切换至其他模型"
|
||||
help_modellist: "&e/chatgpt modellist - 可用的模型列表"
|
||||
current_model_info: "&e当前模型：%s，输入 /chatgpt model <model_name> 来切换模型。"
|
||||
model_switch: "&a已切换至模型 %s"
|
||||
chatgpt_error: "&c无法联系ChatGPT。"
|
||||
chatgpt_response: "&bChatGPT: %s"
|
||||
question: "&b你: %s"
|
||||
invalid_model: "&c模型无效。使用 /chatgpt modellist 查看可用模型。"
|
||||
available_models: "&e可用模型列表："
|
||||
no_permission: "&c你没有权限使用这个指令。需要的权限：%s"
|
||||
# 不要动！！！！！
|
||||
version: 2.1
|
||||
```
|
||||
|
||||
|
||||
## 指令与权限
|
||||
|指令|权限|描述|
|
||||
|-|-|-|
|
||||
|`/chatgpt`|chatgpt.use|查看插件帮助|
|
||||
|`/chatgpt <text>`|chatgpt.use|向ChatGPT提问|
|
||||
|`/chatgpt reload`|chatgpt.reload|重新加载配置文件|
|
||||
|`/chatgpt model <model_name>`|chatgpt.model|切换至其他模型|
|
||||
|`/chatgpt modellist`|chatgpt.modellist|查看可用的模型列表|
|
||||
|`/chatgpt`|minechatgpt.use|查看插件帮助|
|
||||
|`/chatgpt <text>`|minechatgpt.use|向ChatGPT提问|
|
||||
|`/chatgpt reload`|minechatgpt.reload|重新加载配置文件|
|
||||
|`/chatgpt model <model_name>`|minechatgpt.model|切换至其他模型|
|
||||
|`/chatgpt modellist`|minechatgpt.modellist|查看可用的模型列表|
|
||||
|`/chatgpt context`|minechatgpt.context|切换连续对话模式|
|
||||
|`/chatgpt clear`|minechatgpt.clear|清空对话历史|
|
||||
|`/chatgpt character [character_name]`|minechatgpt.character|列出或切换角色|
|
||||
|
||||
## 兼容的版本
|
||||
✔ = 完全支持
|
||||
？ = 部分支持
|
||||
× = 不支持
|
||||
只列出经过测试的版本
|
||||
|
||||
|服务端|支持情况|
|
||||
|-|-|
|
||||
|Mohist 1.20.1|✔|
|
||||
|Spigot 1.20.1|✔|
|
||||
|Spigot 1.12.2|✔|
|
||||
|Luminol 1.21|✔ 支持|
|
||||
|Mohist 1.20.1|✔ 支持|
|
||||
|Spigot 1.20.1|✔ 支持|
|
||||
|Spigot 1.12.2|✔ 支持|
|
||||
|KCauldron 1.7.10|× 不支持|
|
||||
|
||||
## 常见问题
|
||||
### `Failed to contact ChatGPT.` `无法联系ChatGPT。`
|
||||
### 提问后显示`Failed to contact ChatGPT.` `无法联系ChatGPT。`
|
||||
检查控制台输出的错误内容。
|
||||
### `connect timeout` `connect reset`
|
||||
### 提问后控制台有`connect timeout` `connect reset`等类似的提示
|
||||
检查`config.yml`中的`base_url`能否正常访问。如果你无法连接到OpenAI官方的API地址，可以考虑使用其他反代。
|
||||
### 我可以添加其他模型吗？
|
||||
可以，只要模型支持OpenAI的API，就可以使用。
|
||||
## 我没有ChatGPT的账号，可以用吗？
|
||||
不推荐使用推理模型，因为推理模型的响应时间较长，在没有流式响应的情况下，玩家会认为插件出现了问题。
|
||||
### 我没有ChatGPT的账号，可以用吗？
|
||||
可以，目前有很多代理网站，可以很轻松地使用，而且还支持其他模型，费用通常来说也会比官方便宜。如果你愿意，也可以使用我的代理，目前仅在我的QQ群：226385797中提供。
|
||||
### 是否会支持Folia
|
||||
不会。Folia仍然在开发中，短期内不会支持。
|
||||
理论上插件可以在Folia上运行，但插件的代码并没有针对Folia进行过优化，因此可能会有一些问题。如果你愿意，可以尝试使用Folia运行插件，但不保证插件可以正常运行。
|
||||
## 赞助
|
||||
|
||||
[](https://afdian.com/a/ddaodan)
|
||||
## 统计
|
||||
[](https://bstats.org/plugin/bukkit/MineChatGPT/22635)
|
||||
@@ -1,125 +1,52 @@
|
||||
package com.ddaodan.MineChatGPT;
|
||||
|
||||
import com.ddaodan.MineChatGPT.service.ApiService;
|
||||
import com.ddaodan.MineChatGPT.service.CommandService;
|
||||
import com.ddaodan.MineChatGPT.service.RequestCoordinator;
|
||||
import com.ddaodan.MineChatGPT.service.UserSessionManager;
|
||||
import org.bukkit.command.Command;
|
||||
import org.bukkit.command.CommandExecutor;
|
||||
import org.bukkit.command.CommandSender;
|
||||
import org.json.JSONArray;
|
||||
import org.json.JSONObject;
|
||||
|
||||
import java.util.logging.Level;
|
||||
import java.util.logging.Logger;
|
||||
import java.util.List;
|
||||
|
||||
import jodd.http.HttpRequest;
|
||||
import jodd.http.HttpResponse;
|
||||
public class CommandHandler implements CommandExecutor {
|
||||
private final Main plugin;
|
||||
private final ConfigManager configManager;
|
||||
private static final Logger logger = Logger.getLogger(CommandHandler.class.getName());
|
||||
private final CommandService commandService;
|
||||
private final UserSessionManager sessionManager;
|
||||
|
||||
public CommandHandler(Main plugin, ConfigManager configManager) {
|
||||
this.plugin = plugin;
|
||||
public CommandHandler(ConfigManager configManager, UserSessionManager sessionManager, RequestCoordinator requestCoordinator) {
|
||||
this.configManager = configManager;
|
||||
this.sessionManager = sessionManager;
|
||||
this.commandService = new CommandService(configManager, requestCoordinator, sessionManager);
|
||||
}
|
||||
|
||||
@Override
|
||||
public boolean onCommand(CommandSender sender, Command command, String label, String[] args) {
|
||||
String userId = sender.getName();
|
||||
|
||||
if (command.getName().equalsIgnoreCase("chatgpt")) {
|
||||
if (args.length == 0) {
|
||||
sendHelpMessage(sender);
|
||||
commandService.sendHelpMessage(sender);
|
||||
return true;
|
||||
}
|
||||
|
||||
String subCommand = args[0];
|
||||
if (subCommand.equalsIgnoreCase("reload")) {
|
||||
if (!sender.hasPermission("minechatgpt.reload")) {
|
||||
sender.sendMessage(configManager.getNoPermissionMessage().replace("%s", "minechatgpt.reload"));
|
||||
return true;
|
||||
}
|
||||
configManager.reloadConfig();
|
||||
sender.sendMessage(configManager.getReloadMessage());
|
||||
return true;
|
||||
return commandService.handleReloadCommand(sender);
|
||||
} else if (subCommand.equalsIgnoreCase("model")) {
|
||||
if (!sender.hasPermission("minechatgpt.model")) {
|
||||
sender.sendMessage(configManager.getNoPermissionMessage().replace("%s", "minechatgpt.model"));
|
||||
return true;
|
||||
}
|
||||
if (args.length < 2) {
|
||||
String currentModel = configManager.getCurrentModel();
|
||||
sender.sendMessage(configManager.getCurrentModelInfoMessage().replace("%s", currentModel));
|
||||
return true;
|
||||
}
|
||||
String model = args[1];
|
||||
List<String> models = configManager.getModels();
|
||||
if (models.contains(model)) {
|
||||
// Logic to switch model
|
||||
configManager.setCurrentModel(model);
|
||||
sender.sendMessage(configManager.getModelSwitchMessage().replace("%s", model));
|
||||
} else {
|
||||
sender.sendMessage(configManager.getInvalidModelMessage());
|
||||
}
|
||||
return true;
|
||||
return commandService.handleModelCommand(sender, args);
|
||||
} else if (subCommand.equalsIgnoreCase("modellist")) {
|
||||
if (!sender.hasPermission("minechatgpt.modellist")) {
|
||||
sender.sendMessage(configManager.getNoPermissionMessage().replace("%s", "minechatgpt.modellist"));
|
||||
return true;
|
||||
}
|
||||
List<String> models = configManager.getModels();
|
||||
sender.sendMessage(configManager.getAvailableModelsMessage());
|
||||
for (String model : models) {
|
||||
sender.sendMessage("- " + model);
|
||||
}
|
||||
return true;
|
||||
return commandService.handleModelListCommand(sender);
|
||||
} else if (subCommand.equalsIgnoreCase("context")) {
|
||||
return commandService.handleContextCommand(sender, userId);
|
||||
} else if (subCommand.equalsIgnoreCase("clear")) {
|
||||
return commandService.handleClearCommand(sender, userId);
|
||||
} else if (subCommand.equalsIgnoreCase("character")) {
|
||||
return commandService.handleCharacterCommand(sender, args, userId);
|
||||
} else if (subCommand.equalsIgnoreCase("stats")) {
|
||||
return commandService.handleStatsCommand(sender, args, userId);
|
||||
} else {
|
||||
if (!sender.hasPermission("minechatgpt.use")) {
|
||||
sender.sendMessage(configManager.getNoPermissionMessage().replace("%s", "minechatgpt.use"));
|
||||
return true;
|
||||
}
|
||||
String question = String.join(" ", args);
|
||||
// Logic to send question to ChatGPT
|
||||
sender.sendMessage(configManager.getQuestionMessage().replace("%s", question));
|
||||
askChatGPT(sender, question);
|
||||
return true;
|
||||
return commandService.handleAskCommand(sender, args, userId);
|
||||
}
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
private void askChatGPT(CommandSender sender, String question) {
|
||||
JSONObject json = new JSONObject();
|
||||
json.put("model", configManager.getDefaultModel());
|
||||
JSONArray messages = new JSONArray();
|
||||
JSONObject message = new JSONObject();
|
||||
message.put("role", "user");
|
||||
message.put("content", question);
|
||||
messages.put(message);
|
||||
json.put("messages", messages);
|
||||
json.put("model", configManager.getCurrentModel());
|
||||
|
||||
HttpRequest request = HttpRequest.post(configManager.getBaseUrl() + "/chat/completions")
|
||||
.header("Content-Type", "application/json")
|
||||
.header("Authorization", "Bearer " + configManager.getApiKey())
|
||||
.body(json.toString());
|
||||
|
||||
HttpResponse response = request.send();
|
||||
|
||||
if (response.statusCode() == 200) {
|
||||
String responseBody = response.bodyText();
|
||||
JSONObject jsonResponse = new JSONObject(responseBody);
|
||||
String answer = jsonResponse.getJSONArray("choices").getJSONObject(0).getJSONObject("message").getString("content");
|
||||
sender.sendMessage(configManager.getChatGPTResponseMessage().replace("%s", answer));
|
||||
} else {
|
||||
String errorBody = response.bodyText();
|
||||
logger.log(Level.SEVERE, "Failed to get a response from ChatGPT: " + errorBody);
|
||||
sender.sendMessage(configManager.getChatGPTErrorMessage());
|
||||
}
|
||||
}
|
||||
|
||||
private void sendHelpMessage(CommandSender sender) {
|
||||
sender.sendMessage(configManager.getHelpMessage());
|
||||
sender.sendMessage(configManager.getHelpAskMessage());
|
||||
sender.sendMessage(configManager.getHelpReloadMessage());
|
||||
sender.sendMessage(configManager.getHelpModelMessage());
|
||||
sender.sendMessage(configManager.getHelpModelListMessage());
|
||||
}
|
||||
}
|
||||
@@ -1,108 +1,334 @@
|
||||
package com.ddaodan.MineChatGPT;
|
||||
|
||||
import com.ddaodan.MineChatGPT.util.ConfigFileUpdater;
|
||||
import org.bukkit.ChatColor;
|
||||
import org.bukkit.configuration.ConfigurationSection;
|
||||
import org.bukkit.configuration.file.FileConfiguration;
|
||||
|
||||
import java.util.ArrayList;
|
||||
import java.util.Collections;
|
||||
import java.util.LinkedHashMap;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.concurrent.atomic.AtomicInteger;
|
||||
|
||||
public class ConfigManager {
|
||||
private final Main plugin;
|
||||
private FileConfiguration config;
|
||||
private String currentModel;
|
||||
private LanguageManager languageManager;
|
||||
private volatile Map<String, String> charactersCache;
|
||||
|
||||
public ConfigManager(Main plugin) {
|
||||
this.plugin = plugin;
|
||||
reloadConfig();
|
||||
// 获取语言设置
|
||||
String language = config.getString("language", "en");
|
||||
this.languageManager = new LanguageManager(plugin, language);
|
||||
this.charactersCache = null;
|
||||
}
|
||||
public boolean isDebugMode() {
|
||||
return config.getBoolean("debug", false);
|
||||
}
|
||||
|
||||
public void reloadConfig() {
|
||||
ConfigFileUpdater.UpdateResult updateResult = ConfigFileUpdater.updateIfMissingKeys(plugin, "config.yml");
|
||||
if (updateResult.updated) {
|
||||
plugin.getLogger().info("Config updated: inserted " + updateResult.insertedPaths
|
||||
+ " missing path(s). Backup: " + updateResult.backupFileName);
|
||||
}
|
||||
plugin.reloadConfig();
|
||||
config = plugin.getConfig();
|
||||
currentModel = config.getString("default_model");
|
||||
charactersCache = null;
|
||||
|
||||
// 重新加载语言文件
|
||||
if (languageManager != null) {
|
||||
String language = config.getString("language", "en");
|
||||
languageManager.setLanguage(language);
|
||||
}
|
||||
}
|
||||
|
||||
private String translateColorCodes(String message) {
|
||||
return ChatColor.translateAlternateColorCodes('&', message);
|
||||
}
|
||||
|
||||
public String getCurrentModel() {
|
||||
return currentModel;
|
||||
}
|
||||
|
||||
public void setCurrentModel(String model) {
|
||||
currentModel = model;
|
||||
}
|
||||
public String getConfigVersion() {
|
||||
return config.getString("version", "1.0");
|
||||
}
|
||||
private final AtomicInteger currentKeyIndex = new AtomicInteger(0);
|
||||
|
||||
public String getApiKey() {
|
||||
return config.getString("api.key");
|
||||
List<String> keys = new ArrayList<>();
|
||||
for (String key : config.getStringList("api.keys")) {
|
||||
if (isUsableApiKey(key)) {
|
||||
keys.add(key);
|
||||
}
|
||||
}
|
||||
if (keys.isEmpty()) {
|
||||
String legacyKey = config.getString("api.key");
|
||||
if (isUsableApiKey(legacyKey)) {
|
||||
return legacyKey;
|
||||
}
|
||||
return "";
|
||||
}
|
||||
|
||||
String selectionMethod = config.getString("api.selection_method", "round_robin");
|
||||
|
||||
if ("random".equalsIgnoreCase(selectionMethod)) {
|
||||
int randomIndex = (int) (Math.random() * keys.size());
|
||||
return keys.get(randomIndex);
|
||||
} else {
|
||||
int index = Math.floorMod(currentKeyIndex.getAndIncrement(), keys.size());
|
||||
return keys.get(index);
|
||||
}
|
||||
}
|
||||
|
||||
private boolean isUsableApiKey(String key) {
|
||||
if (key == null) {
|
||||
return false;
|
||||
}
|
||||
String trimmed = key.trim();
|
||||
if (trimmed.isEmpty()) {
|
||||
return false;
|
||||
}
|
||||
return !trimmed.startsWith("sk-your_openai_api_key_");
|
||||
}
|
||||
|
||||
public String getBaseUrl() {
|
||||
return config.getString("api.base_url");
|
||||
return config.getString("api.base_url", "https://api.openai.com/v1");
|
||||
}
|
||||
public int getApiConnectTimeoutMs() {
|
||||
return config.getInt("api.connect_timeout_ms", 10000);
|
||||
}
|
||||
public int getApiTimeoutMs() {
|
||||
return config.getInt("api.timeout_ms", 30000);
|
||||
}
|
||||
public int getApiThreadPoolSize() {
|
||||
return Math.max(1, config.getInt("api.thread_pool_size", 4));
|
||||
}
|
||||
|
||||
public String getDefaultModel() {
|
||||
return config.getString("default_model");
|
||||
}
|
||||
|
||||
public String getReloadMessage() {
|
||||
return translateColorCodes(config.getString("messages.reload"));
|
||||
return languageManager.getMessage("reload");
|
||||
}
|
||||
|
||||
public List<String> getModels() {
|
||||
return config.getStringList("models");
|
||||
}
|
||||
|
||||
public String getHelpMessage() {
|
||||
return translateColorCodes(config.getString("messages.help"));
|
||||
return languageManager.getMessage("help");
|
||||
}
|
||||
|
||||
public String getHelpAskMessage() {
|
||||
return translateColorCodes(config.getString("messages.help_ask"));
|
||||
return languageManager.getMessage("help_ask");
|
||||
}
|
||||
|
||||
public String getHelpReloadMessage() {
|
||||
return translateColorCodes(config.getString("messages.help_reload"));
|
||||
return languageManager.getMessage("help_reload");
|
||||
}
|
||||
|
||||
public String getHelpModelMessage() {
|
||||
return translateColorCodes(config.getString("messages.help_model"));
|
||||
return languageManager.getMessage("help_model");
|
||||
}
|
||||
|
||||
public String getHelpModelListMessage() {
|
||||
return translateColorCodes(config.getString("messages.help_modellist"));
|
||||
return languageManager.getMessage("help_modellist");
|
||||
}
|
||||
public String getHelpContextMessage() {
|
||||
return languageManager.getMessage("help_context");
|
||||
}
|
||||
public String getHelpClearMessage() {
|
||||
return languageManager.getMessage("help_clear");
|
||||
}
|
||||
public String getHelpCharacterMessage() {
|
||||
return languageManager.getMessage("help_character");
|
||||
}
|
||||
public String getHelpStatsMessage() {
|
||||
return languageManager.getMessage("help_stats");
|
||||
}
|
||||
|
||||
public String getModelSwitchMessage() {
|
||||
return translateColorCodes(config.getString("messages.model_switch"));
|
||||
return languageManager.getMessage("model_switch");
|
||||
}
|
||||
|
||||
public String getChatGPTErrorMessage() {
|
||||
return translateColorCodes(config.getString("messages.chatgpt_error"));
|
||||
return languageManager.getMessage("chatgpt_error");
|
||||
}
|
||||
public String getNoApiKeyMessage() {
|
||||
return languageManager.getMessage("no_api_key", "&cNo API key configured. Please set api.keys in config.yml.");
|
||||
}
|
||||
|
||||
public String getChatGPTResponseMessage() {
|
||||
return translateColorCodes(config.getString("messages.chatgpt_response"));
|
||||
return languageManager.getMessage("chatgpt_response", "&b%s: %s");
|
||||
}
|
||||
|
||||
public String getQuestionMessage() {
|
||||
return translateColorCodes(config.getString("messages.question"));
|
||||
return languageManager.getMessage("question");
|
||||
}
|
||||
public String getQueuedMessage() {
|
||||
return languageManager.getMessage("queued", "&eYour request has been queued. Position: %s");
|
||||
}
|
||||
public String getQueueFullMessage() {
|
||||
return languageManager.getMessage("queue_full", "&cQueue is full. Please try again later.");
|
||||
}
|
||||
public String getQueueFullUserMessage() {
|
||||
return languageManager.getMessage("queue_full_user", "&cYou have too many pending requests. Please wait.");
|
||||
}
|
||||
public String getCooldownMessage() {
|
||||
return languageManager.getMessage("cooldown", "&cYou're sending requests too fast. Please wait %s ms.");
|
||||
}
|
||||
public String getRateLimitedMessage() {
|
||||
return languageManager.getMessage("rate_limited", "&cRate limited. Please try again later.");
|
||||
}
|
||||
public String getStatsHeaderMessage() {
|
||||
return languageManager.getMessage("stats_header", "&e===== MineChatGPT Stats =====");
|
||||
}
|
||||
public String getStatsGlobalMessage() {
|
||||
return languageManager.getMessage("stats_global", "&eGlobal tokens: %s (prompt=%s, completion=%s), requests=%s");
|
||||
}
|
||||
public String getStatsUserMessage() {
|
||||
return languageManager.getMessage("stats_user", "&eYour tokens: %s (prompt=%s, completion=%s), requests=%s");
|
||||
}
|
||||
public String getStatsResetMessage() {
|
||||
return languageManager.getMessage("stats_reset", "&aStats reset.");
|
||||
}
|
||||
|
||||
public String getInvalidModelMessage() {
|
||||
return translateColorCodes(config.getString("messages.invalid_model"));
|
||||
return languageManager.getMessage("invalid_model");
|
||||
}
|
||||
|
||||
public String getAvailableModelsMessage() {
|
||||
return translateColorCodes(config.getString("messages.available_models"));
|
||||
return languageManager.getMessage("available_models");
|
||||
}
|
||||
|
||||
public String getNoPermissionMessage() {
|
||||
return translateColorCodes(config.getString("messages.no_permission"));
|
||||
return languageManager.getMessage("no_permission");
|
||||
}
|
||||
public String getCurrentModelInfoMessage() {
|
||||
return languageManager.getMessage("current_model_info");
|
||||
}
|
||||
public int getMaxHistorySize() {
|
||||
return config.getInt("conversation.max_history_size", 10);
|
||||
}
|
||||
public int getMaxContextTokens() {
|
||||
return config.getInt("conversation.max_context_tokens", 2000);
|
||||
}
|
||||
public int getReserveCompletionTokens() {
|
||||
return config.getInt("conversation.reserve_completion_tokens", 400);
|
||||
}
|
||||
public boolean isSummarizationEnabled() {
|
||||
return config.getBoolean("conversation.summarization.enabled", true);
|
||||
}
|
||||
public String getSummarizationModel() {
|
||||
return config.getString("conversation.summarization.model", getCurrentModel());
|
||||
}
|
||||
public int getSummarizationTriggerTokens() {
|
||||
return config.getInt("conversation.summarization.trigger_tokens", 1800);
|
||||
}
|
||||
public int getSummarizationKeepLastMessages() {
|
||||
return Math.max(0, config.getInt("conversation.summarization.keep_last_messages", 6));
|
||||
}
|
||||
public boolean isContextEnabled() {
|
||||
return config.getBoolean("conversation.context_enabled", false);
|
||||
}
|
||||
public String getContextToggleMessage() {
|
||||
return languageManager.getMessage("context_toggle", "&eContext is now %s.");
|
||||
}
|
||||
public String getContextToggleEnabledMessage() {
|
||||
return languageManager.getMessage("context_toggle_enabled", "&aenabled");
|
||||
}
|
||||
public String getContextToggleDisabledMessage() {
|
||||
return languageManager.getMessage("context_toggle_disabled", "&edisabled");
|
||||
}
|
||||
public String getClearMessage() {
|
||||
return languageManager.getMessage("clear", "&aConversation history has been cleared.");
|
||||
}
|
||||
public String getCharacterSwitchedMessage() {
|
||||
return languageManager.getMessage("character_switched", "&aSwitched to character: %s");
|
||||
}
|
||||
public String getAvailableCharactersMessage() {
|
||||
return languageManager.getMessage("available_characters", "&eAvailable characters:");
|
||||
}
|
||||
public String getInvalidCharacterMessage() {
|
||||
return languageManager.getMessage("invalid_character", "&cInvalid character. Use /chatgpt character to list available characters.");
|
||||
}
|
||||
public Map<String, String> getCharacters() {
|
||||
Map<String, String> cached = charactersCache;
|
||||
if (cached != null) {
|
||||
return cached;
|
||||
}
|
||||
|
||||
public String getCurrentModelInfoMessage() {
|
||||
return translateColorCodes(config.getString("messages.current_model_info"));
|
||||
ConfigurationSection section = config.getConfigurationSection("characters");
|
||||
if (section == null) {
|
||||
charactersCache = Collections.emptyMap();
|
||||
return charactersCache;
|
||||
}
|
||||
|
||||
Map<String, String> characters = new LinkedHashMap<>();
|
||||
for (String key : section.getKeys(false)) {
|
||||
String prompt = section.getString(key);
|
||||
if (prompt != null) {
|
||||
characters.put(key, prompt);
|
||||
}
|
||||
}
|
||||
|
||||
charactersCache = Collections.unmodifiableMap(characters);
|
||||
return charactersCache;
|
||||
}
|
||||
public String getCurrentCharacter(String userId) {
|
||||
return config.getString("users." + userId + ".character", "ChatGPT");
|
||||
}
|
||||
public void setCurrentCharacter(String userId, String character) {
|
||||
config.set("users." + userId + ".character", character);
|
||||
plugin.saveConfig();
|
||||
}
|
||||
|
||||
public boolean isRateLimitEnabled() {
|
||||
return config.getBoolean("rate_limit.enabled", true);
|
||||
}
|
||||
public String getRateLimitMode() {
|
||||
return config.getString("rate_limit.mode", "both");
|
||||
}
|
||||
public long getRateLimitCooldownMs() {
|
||||
return Math.max(0L, config.getLong("rate_limit.cooldown_ms", 1000L));
|
||||
}
|
||||
public String getRateLimitTokenEstimator() {
|
||||
return config.getString("rate_limit.token_estimator", "approx_chars");
|
||||
}
|
||||
public int getRateLimitAssumedCompletionTokens() {
|
||||
return Math.max(0, config.getInt("rate_limit.assumed_completion_tokens", 300));
|
||||
}
|
||||
|
||||
public int getPerUserRequestsPerMinute() {
|
||||
return Math.max(0, config.getInt("rate_limit.per_user.requests_per_minute", 6));
|
||||
}
|
||||
public int getPerUserBurstRequests() {
|
||||
return Math.max(0, config.getInt("rate_limit.per_user.burst_requests", 3));
|
||||
}
|
||||
public int getPerUserTokensPerMinute() {
|
||||
return Math.max(0, config.getInt("rate_limit.per_user.tokens_per_minute", 4000));
|
||||
}
|
||||
public int getPerUserBurstTokens() {
|
||||
return Math.max(0, config.getInt("rate_limit.per_user.burst_tokens", 2000));
|
||||
}
|
||||
|
||||
public int getGlobalRequestsPerMinute() {
|
||||
return Math.max(0, config.getInt("rate_limit.global.requests_per_minute", 60));
|
||||
}
|
||||
public int getGlobalBurstRequests() {
|
||||
return Math.max(0, config.getInt("rate_limit.global.burst_requests", 20));
|
||||
}
|
||||
public int getGlobalTokensPerMinute() {
|
||||
return Math.max(0, config.getInt("rate_limit.global.tokens_per_minute", 100000));
|
||||
}
|
||||
public int getGlobalBurstTokens() {
|
||||
return Math.max(0, config.getInt("rate_limit.global.burst_tokens", 20000));
|
||||
}
|
||||
|
||||
public boolean isQueueEnabled() {
|
||||
return config.getBoolean("queue.enabled", true);
|
||||
}
|
||||
public int getQueueMaxSize() {
|
||||
return Math.max(0, config.getInt("queue.max_size", 100));
|
||||
}
|
||||
public int getQueueMaxPerUser() {
|
||||
return Math.max(0, config.getInt("queue.max_per_user", 3));
|
||||
}
|
||||
public int getQueueMaxInFlight() {
|
||||
return Math.max(1, config.getInt("queue.max_in_flight", getApiThreadPoolSize()));
|
||||
}
|
||||
public int getQueueDispatchPerTick() {
|
||||
return Math.max(1, config.getInt("queue.dispatch_per_tick", 2));
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,84 @@
|
||||
package com.ddaodan.MineChatGPT;
|
||||
|
||||
import java.util.ArrayDeque;
|
||||
import java.util.ArrayList;
|
||||
import java.util.Deque;
|
||||
import java.util.List;
|
||||
|
||||
public class ConversationContext {
|
||||
public static final class Message {
|
||||
private final String role;
|
||||
private final String content;
|
||||
|
||||
public Message(String role, String content) {
|
||||
this.role = role;
|
||||
this.content = content;
|
||||
}
|
||||
|
||||
public String getRole() {
|
||||
return role;
|
||||
}
|
||||
|
||||
public String getContent() {
|
||||
return content;
|
||||
}
|
||||
}
|
||||
|
||||
private final Deque<Message> history;
|
||||
private final int maxHistorySize;
|
||||
|
||||
public ConversationContext(int maxHistorySize) {
|
||||
this.maxHistorySize = maxHistorySize;
|
||||
this.history = new ArrayDeque<>();
|
||||
}
|
||||
|
||||
public void addUserMessage(String message) {
|
||||
addMessage("user", message);
|
||||
}
|
||||
|
||||
public void addAssistantMessage(String message) {
|
||||
addMessage("assistant", message);
|
||||
}
|
||||
|
||||
private void addMessage(String role, String message) {
|
||||
if (history.size() >= maxHistorySize) {
|
||||
history.pollFirst();
|
||||
}
|
||||
history.addLast(new Message(role, message));
|
||||
}
|
||||
|
||||
public List<Message> getMessages() {
|
||||
return new ArrayList<>(history);
|
||||
}
|
||||
|
||||
public void setMessages(List<Message> messages) {
|
||||
history.clear();
|
||||
if (messages == null || messages.isEmpty()) {
|
||||
return;
|
||||
}
|
||||
int startIndex = Math.max(0, messages.size() - maxHistorySize);
|
||||
for (int i = startIndex; i < messages.size(); i++) {
|
||||
Message msg = messages.get(i);
|
||||
if (msg != null) {
|
||||
history.addLast(new Message(msg.getRole(), msg.getContent()));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
public void trimToLast(int keepLast) {
|
||||
if (keepLast < 0) {
|
||||
keepLast = 0;
|
||||
}
|
||||
while (history.size() > keepLast) {
|
||||
history.pollFirst();
|
||||
}
|
||||
}
|
||||
|
||||
public void removeOldestMessage() {
|
||||
history.pollFirst();
|
||||
}
|
||||
|
||||
public void clearHistory() {
|
||||
history.clear();
|
||||
}
|
||||
}
|
||||
73
src/main/java/com/ddaodan/MineChatGPT/LanguageManager.java
Normal file
73
src/main/java/com/ddaodan/MineChatGPT/LanguageManager.java
Normal file
@@ -0,0 +1,73 @@
|
||||
package com.ddaodan.MineChatGPT;
|
||||
|
||||
import com.ddaodan.MineChatGPT.util.ConfigFileUpdater;
|
||||
import org.bukkit.ChatColor;
|
||||
import org.bukkit.configuration.file.FileConfiguration;
|
||||
import org.bukkit.configuration.file.YamlConfiguration;
|
||||
|
||||
import java.io.File;
|
||||
import java.io.IOException;
|
||||
import java.io.InputStream;
|
||||
import java.io.InputStreamReader;
|
||||
import java.nio.charset.StandardCharsets;
|
||||
|
||||
public class LanguageManager {
|
||||
private final Main plugin;
|
||||
private FileConfiguration langConfig;
|
||||
private String currentLanguage;
|
||||
private File langFile;
|
||||
|
||||
public LanguageManager(Main plugin, String language) {
|
||||
this.plugin = plugin;
|
||||
this.currentLanguage = language;
|
||||
loadLanguage();
|
||||
}
|
||||
|
||||
public void loadLanguage() {
|
||||
String resourcePath = "lang/" + currentLanguage + ".yml";
|
||||
langFile = new File(plugin.getDataFolder(), "lang" + File.separator + currentLanguage + ".yml");
|
||||
|
||||
if (plugin.getResource(resourcePath) != null) {
|
||||
ConfigFileUpdater.UpdateResult updateResult = ConfigFileUpdater.updateIfMissingKeys(plugin, resourcePath);
|
||||
if (updateResult.updated) {
|
||||
plugin.getLogger().info("Language file updated (" + currentLanguage + "): inserted "
|
||||
+ updateResult.insertedPaths + " missing path(s). Backup: " + updateResult.backupFileName);
|
||||
}
|
||||
} else if (!langFile.exists()) {
|
||||
plugin.getLogger().warning("Language resource not found: " + resourcePath + ", file does not exist.");
|
||||
}
|
||||
|
||||
langConfig = YamlConfiguration.loadConfiguration(langFile);
|
||||
|
||||
InputStream defaultLangStream = plugin.getResource(resourcePath);
|
||||
if (defaultLangStream != null) {
|
||||
try (InputStreamReader reader = new InputStreamReader(defaultLangStream, StandardCharsets.UTF_8)) {
|
||||
YamlConfiguration defaultLang = YamlConfiguration.loadConfiguration(reader);
|
||||
langConfig.setDefaults(defaultLang);
|
||||
} catch (IOException ex) {
|
||||
plugin.getLogger().warning("Failed to load default language resource: " + ex.getMessage());
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
public void setLanguage(String language) {
|
||||
this.currentLanguage = language;
|
||||
loadLanguage();
|
||||
}
|
||||
|
||||
public String getCurrentLanguage() {
|
||||
return currentLanguage;
|
||||
}
|
||||
|
||||
private String translateColorCodes(String message) {
|
||||
return ChatColor.translateAlternateColorCodes('&', message);
|
||||
}
|
||||
|
||||
public String getMessage(String path) {
|
||||
return translateColorCodes(langConfig.getString("messages." + path, "Missing message: " + path));
|
||||
}
|
||||
|
||||
public String getMessage(String path, String defaultValue) {
|
||||
return translateColorCodes(langConfig.getString("messages." + path, defaultValue));
|
||||
}
|
||||
}
|
||||
@@ -1,6 +1,5 @@
|
||||
package com.ddaodan.MineChatGPT;
|
||||
|
||||
import org.bukkit.configuration.file.FileConfiguration;
|
||||
import org.bukkit.plugin.java.JavaPlugin;
|
||||
import org.bstats.bukkit.Metrics;
|
||||
|
||||
@@ -8,6 +7,9 @@ import java.util.Objects;
|
||||
|
||||
public final class Main extends JavaPlugin {
|
||||
private ConfigManager configManager;
|
||||
private com.ddaodan.MineChatGPT.service.UserSessionManager sessionManager;
|
||||
private com.ddaodan.MineChatGPT.service.ApiService apiService;
|
||||
private com.ddaodan.MineChatGPT.service.RequestCoordinator requestCoordinator;
|
||||
private CommandHandler commandHandler;
|
||||
private MineChatGPTTabCompleter tabCompleter;
|
||||
|
||||
@@ -15,11 +17,17 @@ public final class Main extends JavaPlugin {
|
||||
public void onEnable() {
|
||||
saveDefaultConfig();
|
||||
configManager = new ConfigManager(this);
|
||||
commandHandler = new CommandHandler(this, configManager);
|
||||
sessionManager = new com.ddaodan.MineChatGPT.service.UserSessionManager(configManager);
|
||||
apiService = new com.ddaodan.MineChatGPT.service.ApiService(this, configManager);
|
||||
requestCoordinator = new com.ddaodan.MineChatGPT.service.RequestCoordinator(this, configManager, apiService, sessionManager);
|
||||
requestCoordinator.start();
|
||||
commandHandler = new CommandHandler(configManager, sessionManager, requestCoordinator);
|
||||
tabCompleter = new MineChatGPTTabCompleter(configManager);
|
||||
Objects.requireNonNull(getCommand("chatgpt")).setExecutor(commandHandler);
|
||||
Objects.requireNonNull(getCommand("chatgpt")).setTabCompleter(tabCompleter);
|
||||
checkAndUpdateConfig();
|
||||
if (configManager.isDebugMode()) {
|
||||
getLogger().info( "DEBUG MODE IS TRUE!!!!!");
|
||||
}
|
||||
// Initialize bStats
|
||||
int pluginId = 22635;
|
||||
new Metrics(this, pluginId);
|
||||
@@ -27,29 +35,12 @@ public final class Main extends JavaPlugin {
|
||||
|
||||
@Override
|
||||
public void onDisable() {
|
||||
if (requestCoordinator != null) {
|
||||
requestCoordinator.stop();
|
||||
}
|
||||
if (apiService != null) {
|
||||
apiService.shutdown();
|
||||
}
|
||||
saveConfig();
|
||||
}
|
||||
|
||||
private void checkAndUpdateConfig() {
|
||||
String currentVersion = getConfig().getString("version", "1.0");
|
||||
String pluginVersion = getDescription().getVersion();
|
||||
|
||||
if (!currentVersion.equals(pluginVersion)) {
|
||||
// 加载默认配置文件
|
||||
FileConfiguration defaultConfig = getConfig();
|
||||
reloadConfig();
|
||||
FileConfiguration newConfig = getConfig();
|
||||
|
||||
// 合并配置文件
|
||||
for (String key : defaultConfig.getKeys(true)) {
|
||||
if (!newConfig.contains(key)) {
|
||||
newConfig.set(key, defaultConfig.get(key));
|
||||
}
|
||||
}
|
||||
|
||||
// 更新版本号
|
||||
newConfig.set("version", pluginVersion);
|
||||
saveConfig();
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -23,9 +23,19 @@ public class MineChatGPTTabCompleter implements TabCompleter {
|
||||
completions.add("reload");
|
||||
completions.add("model");
|
||||
completions.add("modellist");
|
||||
} else if (args.length == 2 && args[0].equalsIgnoreCase("model")) {
|
||||
// 补全模型名称
|
||||
completions.add("context");
|
||||
completions.add("clear");
|
||||
completions.add("character");
|
||||
completions.add("stats");
|
||||
} else if (args.length == 2) {
|
||||
String subCommand = args[0];
|
||||
if (subCommand.equalsIgnoreCase("model")) {
|
||||
completions.addAll(configManager.getModels());
|
||||
} else if (subCommand.equalsIgnoreCase("character")) {
|
||||
completions.addAll(configManager.getCharacters().keySet());
|
||||
} else if (subCommand.equalsIgnoreCase("stats")) {
|
||||
completions.add("reset");
|
||||
}
|
||||
}
|
||||
|
||||
// 过滤补全列表以匹配输入
|
||||
|
||||
201
src/main/java/com/ddaodan/MineChatGPT/service/ApiService.java
Normal file
201
src/main/java/com/ddaodan/MineChatGPT/service/ApiService.java
Normal file
@@ -0,0 +1,201 @@
|
||||
package com.ddaodan.MineChatGPT.service;
|
||||
|
||||
import com.ddaodan.MineChatGPT.ConfigManager;
|
||||
import com.ddaodan.MineChatGPT.Main;
|
||||
import jodd.http.HttpRequest;
|
||||
import jodd.http.HttpResponse;
|
||||
import org.json.JSONArray;
|
||||
import org.json.JSONObject;
|
||||
|
||||
import java.util.concurrent.CompletableFuture;
|
||||
import java.util.concurrent.ExecutorService;
|
||||
import java.util.concurrent.Executors;
|
||||
import java.util.concurrent.ThreadFactory;
|
||||
import java.util.concurrent.atomic.AtomicInteger;
|
||||
import java.util.logging.Level;
|
||||
import java.util.logging.Logger;
|
||||
|
||||
/**
|
||||
* API服务类：负责与 OpenAI 兼容接口通信（/chat/completions）
|
||||
*/
|
||||
public class ApiService {
|
||||
private static final Logger logger = Logger.getLogger(ApiService.class.getName());
|
||||
|
||||
private final Main plugin;
|
||||
private final ConfigManager configManager;
|
||||
private final ExecutorService executor;
|
||||
|
||||
public ApiService(Main plugin, ConfigManager configManager) {
|
||||
this.plugin = plugin;
|
||||
this.configManager = configManager;
|
||||
this.executor = Executors.newFixedThreadPool(
|
||||
configManager.getApiThreadPoolSize(),
|
||||
newNamedThreadFactory("minechatgpt-api-")
|
||||
);
|
||||
}
|
||||
|
||||
public void shutdown() {
|
||||
executor.shutdownNow();
|
||||
}
|
||||
|
||||
public CompletableFuture<ChatCompletionResult> createChatCompletion(String model, JSONArray messages) {
|
||||
if (model == null || model.trim().isEmpty()) {
|
||||
return CompletableFuture.completedFuture(ChatCompletionResult.error("Missing model", null));
|
||||
}
|
||||
if (messages == null) {
|
||||
messages = new JSONArray();
|
||||
}
|
||||
|
||||
String apiKey = configManager.getApiKey();
|
||||
if (apiKey == null || apiKey.trim().isEmpty()) {
|
||||
return CompletableFuture.completedFuture(ChatCompletionResult.error(configManager.getNoApiKeyMessage(), null));
|
||||
}
|
||||
|
||||
JSONObject payload = new JSONObject();
|
||||
payload.put("model", model);
|
||||
payload.put("messages", messages);
|
||||
|
||||
if (configManager.isDebugMode()) {
|
||||
logger.info("Built request: " + payload);
|
||||
}
|
||||
|
||||
String baseUrl = normalizeBaseUrl(configManager.getBaseUrl());
|
||||
HttpRequest request = HttpRequest
|
||||
.post(baseUrl + "/chat/completions")
|
||||
.header("Content-Type", "application/json; charset=UTF-8")
|
||||
.header("Accept", "application/json")
|
||||
.header("Authorization", "Bearer " + apiKey)
|
||||
.header("User-Agent", "MineChatGPT/" + plugin.getDescription().getVersion())
|
||||
.connectionTimeout(configManager.getApiConnectTimeoutMs())
|
||||
.timeout(configManager.getApiTimeoutMs())
|
||||
.bodyText(payload.toString());
|
||||
|
||||
if (configManager.isDebugMode()) {
|
||||
logger.info("Sending request: " + request);
|
||||
}
|
||||
|
||||
return CompletableFuture
|
||||
.supplyAsync(request::send, executor)
|
||||
.thenApply(response -> parseResponse(response))
|
||||
.exceptionally(e -> {
|
||||
logger.log(Level.SEVERE, "Exception occurred while processing request: " + e.getMessage(), e);
|
||||
return ChatCompletionResult.error(configManager.getChatGPTErrorMessage(), null);
|
||||
});
|
||||
}
|
||||
|
||||
private ChatCompletionResult parseResponse(HttpResponse response) {
|
||||
if (configManager.isDebugMode()) {
|
||||
logger.info("Received response: " + response);
|
||||
}
|
||||
|
||||
int status = response.statusCode();
|
||||
String body = response.bodyText();
|
||||
|
||||
if (status == 200) {
|
||||
try {
|
||||
JSONObject json = new JSONObject(body);
|
||||
String answer = json
|
||||
.getJSONArray("choices")
|
||||
.getJSONObject(0)
|
||||
.getJSONObject("message")
|
||||
.getString("content");
|
||||
|
||||
Usage usage = null;
|
||||
if (json.has("usage")) {
|
||||
JSONObject usageJson = json.getJSONObject("usage");
|
||||
long prompt = usageJson.optLong("prompt_tokens", -1);
|
||||
long completion = usageJson.optLong("completion_tokens", -1);
|
||||
long total = usageJson.optLong("total_tokens", -1);
|
||||
if (prompt >= 0 && completion >= 0 && total >= 0) {
|
||||
usage = new Usage(prompt, completion, total);
|
||||
}
|
||||
}
|
||||
|
||||
return ChatCompletionResult.success(answer, usage);
|
||||
} catch (Exception e) {
|
||||
logger.log(Level.SEVERE, "Failed to parse response: " + e.getMessage(), e);
|
||||
return ChatCompletionResult.error(configManager.getChatGPTErrorMessage(), body);
|
||||
}
|
||||
}
|
||||
|
||||
String debugDetails = tryExtractOpenAiErrorDetails(status, body);
|
||||
logger.log(Level.SEVERE, "Failed to get response (HTTP " + status + "): " + body);
|
||||
return ChatCompletionResult.error(configManager.getChatGPTErrorMessage(), debugDetails);
|
||||
}
|
||||
|
||||
private static String tryExtractOpenAiErrorDetails(int status, String responseBody) {
|
||||
try {
|
||||
JSONObject errorJson = new JSONObject(responseBody);
|
||||
if (!errorJson.has("error")) {
|
||||
return null;
|
||||
}
|
||||
JSONObject err = errorJson.getJSONObject("error");
|
||||
String message = err.optString("message", "");
|
||||
String code = err.optString("code", "");
|
||||
if (message.isEmpty()) {
|
||||
return null;
|
||||
}
|
||||
return "[MineChatGPT] HTTP " + status + (code.isEmpty() ? "" : " (" + code + ")") + ": " + message;
|
||||
} catch (Exception ignored) {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
private static String normalizeBaseUrl(String baseUrl) {
|
||||
if (baseUrl == null) {
|
||||
return "https://api.openai.com/v1";
|
||||
}
|
||||
String trimmed = baseUrl.trim();
|
||||
if (trimmed.endsWith("/")) {
|
||||
return trimmed.substring(0, trimmed.length() - 1);
|
||||
}
|
||||
return trimmed;
|
||||
}
|
||||
|
||||
private static ThreadFactory newNamedThreadFactory(String prefix) {
|
||||
AtomicInteger counter = new AtomicInteger(1);
|
||||
return runnable -> {
|
||||
Thread thread = new Thread(runnable, prefix + counter.getAndIncrement());
|
||||
thread.setDaemon(true);
|
||||
return thread;
|
||||
};
|
||||
}
|
||||
|
||||
public static final class Usage {
|
||||
public final long promptTokens;
|
||||
public final long completionTokens;
|
||||
public final long totalTokens;
|
||||
|
||||
public Usage(long promptTokens, long completionTokens, long totalTokens) {
|
||||
this.promptTokens = promptTokens;
|
||||
this.completionTokens = completionTokens;
|
||||
this.totalTokens = totalTokens;
|
||||
}
|
||||
}
|
||||
|
||||
public static final class ChatCompletionResult {
|
||||
public final String answer;
|
||||
public final Usage usage;
|
||||
public final String errorMessage;
|
||||
public final String debugDetails;
|
||||
|
||||
private ChatCompletionResult(String answer, Usage usage, String errorMessage, String debugDetails) {
|
||||
this.answer = answer;
|
||||
this.usage = usage;
|
||||
this.errorMessage = errorMessage;
|
||||
this.debugDetails = debugDetails;
|
||||
}
|
||||
|
||||
public static ChatCompletionResult success(String answer, Usage usage) {
|
||||
return new ChatCompletionResult(answer, usage, null, null);
|
||||
}
|
||||
|
||||
public static ChatCompletionResult error(String errorMessage, String debugDetails) {
|
||||
return new ChatCompletionResult(null, null, errorMessage, debugDetails);
|
||||
}
|
||||
|
||||
public boolean isSuccess() {
|
||||
return errorMessage == null;
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,13 @@
|
||||
package com.ddaodan.MineChatGPT.service;
|
||||
|
||||
public class ApproxCharTokenEstimator implements TokenEstimator {
|
||||
@Override
|
||||
public int estimateTextTokens(String text) {
|
||||
if (text == null || text.isEmpty()) {
|
||||
return 0;
|
||||
}
|
||||
int chars = text.length();
|
||||
return (int) Math.ceil(chars / 4.0);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -0,0 +1,218 @@
|
||||
package com.ddaodan.MineChatGPT.service;
|
||||
|
||||
import com.ddaodan.MineChatGPT.ConfigManager;
|
||||
import com.ddaodan.MineChatGPT.ConversationContext;
|
||||
import org.bukkit.command.CommandSender;
|
||||
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
/**
|
||||
* 命令处理服务类，负责处理各种命令的业务逻辑
|
||||
*/
|
||||
public class CommandService {
|
||||
private final ConfigManager configManager;
|
||||
private final RequestCoordinator requestCoordinator;
|
||||
private final UserSessionManager sessionManager;
|
||||
|
||||
public CommandService(ConfigManager configManager, RequestCoordinator requestCoordinator, UserSessionManager sessionManager) {
|
||||
this.configManager = configManager;
|
||||
this.requestCoordinator = requestCoordinator;
|
||||
this.sessionManager = sessionManager;
|
||||
}
|
||||
|
||||
/**
|
||||
* 处理重载配置命令
|
||||
*
|
||||
* @param sender 命令发送者
|
||||
* @return 是否成功处理
|
||||
*/
|
||||
public boolean handleReloadCommand(CommandSender sender) {
|
||||
if (!sender.hasPermission("minechatgpt.reload")) {
|
||||
sender.sendMessage(configManager.getNoPermissionMessage().replace("%s", "minechatgpt.reload"));
|
||||
return true;
|
||||
}
|
||||
configManager.reloadConfig();
|
||||
requestCoordinator.reloadFromConfig();
|
||||
sender.sendMessage(configManager.getReloadMessage());
|
||||
return true;
|
||||
}
|
||||
|
||||
/**
|
||||
* 处理模型切换命令
|
||||
*
|
||||
* @param sender 命令发送者
|
||||
* @param args 命令参数
|
||||
* @return 是否成功处理
|
||||
*/
|
||||
public boolean handleModelCommand(CommandSender sender, String[] args) {
|
||||
if (!sender.hasPermission("minechatgpt.model")) {
|
||||
sender.sendMessage(configManager.getNoPermissionMessage().replace("%s", "minechatgpt.model"));
|
||||
return true;
|
||||
}
|
||||
if (args.length < 2) {
|
||||
String currentModel = configManager.getCurrentModel();
|
||||
sender.sendMessage(configManager.getCurrentModelInfoMessage().replace("%s", currentModel));
|
||||
return true;
|
||||
}
|
||||
String model = args[1];
|
||||
List<String> models = configManager.getModels();
|
||||
if (models.contains(model)) {
|
||||
configManager.setCurrentModel(model);
|
||||
sender.sendMessage(configManager.getModelSwitchMessage().replace("%s", model));
|
||||
} else {
|
||||
sender.sendMessage(configManager.getInvalidModelMessage());
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
/**
|
||||
* 处理模型列表命令
|
||||
*
|
||||
* @param sender 命令发送者
|
||||
* @return 是否成功处理
|
||||
*/
|
||||
public boolean handleModelListCommand(CommandSender sender) {
|
||||
if (!sender.hasPermission("minechatgpt.modellist")) {
|
||||
sender.sendMessage(configManager.getNoPermissionMessage().replace("%s", "minechatgpt.modellist"));
|
||||
return true;
|
||||
}
|
||||
List<String> models = configManager.getModels();
|
||||
sender.sendMessage(configManager.getAvailableModelsMessage());
|
||||
for (String model : models) {
|
||||
sender.sendMessage("- " + model);
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
/**
|
||||
* 处理上下文切换命令
|
||||
*
|
||||
* @param sender 命令发送者
|
||||
* @param userId 用户ID
|
||||
* @return 是否成功处理
|
||||
*/
|
||||
public boolean handleContextCommand(CommandSender sender, String userId) {
|
||||
boolean contextEnabled = !sessionManager.isContextEnabled(userId);
|
||||
sessionManager.setContextEnabled(userId, contextEnabled);
|
||||
String status = contextEnabled ? configManager.getContextToggleEnabledMessage() : configManager.getContextToggleDisabledMessage();
|
||||
sender.sendMessage(configManager.getContextToggleMessage().replace("%s", status));
|
||||
return true;
|
||||
}
|
||||
|
||||
/**
|
||||
* 处理清除历史记录命令
|
||||
*
|
||||
* @param sender 命令发送者
|
||||
* @param userId 用户ID
|
||||
* @return 是否成功处理
|
||||
*/
|
||||
public boolean handleClearCommand(CommandSender sender, String userId) {
|
||||
if (!sender.hasPermission("minechatgpt.clear")) {
|
||||
sender.sendMessage(configManager.getNoPermissionMessage().replace("%s", "minechatgpt.clear"));
|
||||
return true;
|
||||
}
|
||||
sessionManager.clearConversationHistory(userId);
|
||||
sender.sendMessage(configManager.getClearMessage());
|
||||
return true;
|
||||
}
|
||||
|
||||
/**
|
||||
* 处理角色切换命令
|
||||
*
|
||||
* @param sender 命令发送者
|
||||
* @param args 命令参数
|
||||
* @param userId 用户ID
|
||||
* @return 是否成功处理
|
||||
*/
|
||||
public boolean handleCharacterCommand(CommandSender sender, String[] args, String userId) {
|
||||
if (!sender.hasPermission("minechatgpt.character")) {
|
||||
sender.sendMessage(configManager.getNoPermissionMessage().replace("%s", "minechatgpt.character"));
|
||||
return true;
|
||||
}
|
||||
Map<String, String> characters = configManager.getCharacters();
|
||||
if (args.length < 2) {
|
||||
sender.sendMessage(configManager.getAvailableCharactersMessage());
|
||||
for (String character : characters.keySet()) {
|
||||
sender.sendMessage("- " + character);
|
||||
}
|
||||
return true;
|
||||
}
|
||||
String character = args[1];
|
||||
if (characters.containsKey(character)) {
|
||||
sessionManager.setCurrentCharacter(userId, character);
|
||||
sender.sendMessage(configManager.getCharacterSwitchedMessage().replace("%s", character));
|
||||
} else {
|
||||
sender.sendMessage(configManager.getInvalidCharacterMessage());
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
/**
|
||||
* 处理向ChatGPT提问的命令
|
||||
*
|
||||
* @param sender 命令发送者
|
||||
* @param args 命令参数
|
||||
* @param userId 用户ID
|
||||
* @return 是否成功处理
|
||||
*/
|
||||
public boolean handleAskCommand(CommandSender sender, String[] args, String userId) {
|
||||
if (!sender.hasPermission("minechatgpt.use")) {
|
||||
sender.sendMessage(configManager.getNoPermissionMessage().replace("%s", "minechatgpt.use"));
|
||||
return true;
|
||||
}
|
||||
String question = String.join(" ", args);
|
||||
|
||||
sender.sendMessage(configManager.getQuestionMessage().replace("%s", question));
|
||||
requestCoordinator.submitAsk(sender, question, userId);
|
||||
return true;
|
||||
}
|
||||
|
||||
public boolean handleStatsCommand(CommandSender sender, String[] args, String userId) {
|
||||
if (!sender.hasPermission("minechatgpt.stats")) {
|
||||
sender.sendMessage(configManager.getNoPermissionMessage().replace("%s", "minechatgpt.stats"));
|
||||
return true;
|
||||
}
|
||||
|
||||
if (args.length >= 2 && "reset".equalsIgnoreCase(args[1])) {
|
||||
requestCoordinator.resetUsageTracker();
|
||||
sender.sendMessage(configManager.getStatsResetMessage());
|
||||
return true;
|
||||
}
|
||||
|
||||
UsageTracker.Snapshot global = requestCoordinator.getUsageTracker().getGlobal();
|
||||
UsageTracker.Snapshot user = requestCoordinator.getUsageTracker().getUser(userId);
|
||||
|
||||
sender.sendMessage(configManager.getStatsHeaderMessage());
|
||||
sender.sendMessage(configManager.getStatsGlobalMessage()
|
||||
.replaceFirst("%s", String.valueOf(global.totalTokens))
|
||||
.replaceFirst("%s", String.valueOf(global.promptTokens))
|
||||
.replaceFirst("%s", String.valueOf(global.completionTokens))
|
||||
.replaceFirst("%s", String.valueOf(global.requests)));
|
||||
|
||||
sender.sendMessage(configManager.getStatsUserMessage()
|
||||
.replaceFirst("%s", String.valueOf(user.totalTokens))
|
||||
.replaceFirst("%s", String.valueOf(user.promptTokens))
|
||||
.replaceFirst("%s", String.valueOf(user.completionTokens))
|
||||
.replaceFirst("%s", String.valueOf(user.requests)));
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
/**
|
||||
* 发送帮助信息
|
||||
*
|
||||
* @param sender 命令发送者
|
||||
*/
|
||||
public void sendHelpMessage(CommandSender sender) {
|
||||
sender.sendMessage(configManager.getHelpMessage());
|
||||
sender.sendMessage(configManager.getHelpAskMessage());
|
||||
sender.sendMessage(configManager.getHelpReloadMessage());
|
||||
sender.sendMessage(configManager.getHelpModelMessage());
|
||||
sender.sendMessage(configManager.getHelpModelListMessage());
|
||||
sender.sendMessage(configManager.getHelpContextMessage());
|
||||
sender.sendMessage(configManager.getHelpClearMessage());
|
||||
sender.sendMessage(configManager.getHelpCharacterMessage());
|
||||
sender.sendMessage(configManager.getHelpStatsMessage());
|
||||
}
|
||||
}
|
||||
110
src/main/java/com/ddaodan/MineChatGPT/service/RateLimiter.java
Normal file
110
src/main/java/com/ddaodan/MineChatGPT/service/RateLimiter.java
Normal file
@@ -0,0 +1,110 @@
|
||||
package com.ddaodan.MineChatGPT.service;
|
||||
|
||||
import com.ddaodan.MineChatGPT.ConfigManager;
|
||||
|
||||
import java.util.Map;
|
||||
import java.util.concurrent.ConcurrentHashMap;
|
||||
|
||||
public class RateLimiter {
|
||||
public static final class Decision {
|
||||
public final boolean allowed;
|
||||
public final String reason;
|
||||
public final long retryAfterMs;
|
||||
|
||||
private Decision(boolean allowed, String reason, long retryAfterMs) {
|
||||
this.allowed = allowed;
|
||||
this.reason = reason;
|
||||
this.retryAfterMs = retryAfterMs;
|
||||
}
|
||||
|
||||
public static Decision allow() {
|
||||
return new Decision(true, null, 0);
|
||||
}
|
||||
|
||||
public static Decision deny(String reason, long retryAfterMs) {
|
||||
return new Decision(false, reason, retryAfterMs);
|
||||
}
|
||||
}
|
||||
|
||||
private static final class UserBuckets {
|
||||
private final TokenBucket requests;
|
||||
private final TokenBucket tokens;
|
||||
|
||||
private UserBuckets(TokenBucket requests, TokenBucket tokens) {
|
||||
this.requests = requests;
|
||||
this.tokens = tokens;
|
||||
}
|
||||
}
|
||||
|
||||
private final ConfigManager configManager;
|
||||
private final Map<String, UserBuckets> perUser = new ConcurrentHashMap<>();
|
||||
private final Map<String, Long> nextAllowedAt = new ConcurrentHashMap<>();
|
||||
|
||||
private volatile TokenBucket globalRequests;
|
||||
private volatile TokenBucket globalTokens;
|
||||
|
||||
public RateLimiter(ConfigManager configManager) {
|
||||
this.configManager = configManager;
|
||||
long now = System.currentTimeMillis();
|
||||
this.globalRequests = new TokenBucket(
|
||||
configManager.getGlobalBurstRequests(),
|
||||
configManager.getGlobalRequestsPerMinute() / 60.0,
|
||||
now
|
||||
);
|
||||
this.globalTokens = new TokenBucket(
|
||||
configManager.getGlobalBurstTokens(),
|
||||
configManager.getGlobalTokensPerMinute() / 60.0,
|
||||
now
|
||||
);
|
||||
}
|
||||
|
||||
public Decision tryAcquire(String userId, int estimatedTotalTokens, long nowMillis) {
|
||||
if (!configManager.isRateLimitEnabled()) {
|
||||
return Decision.allow();
|
||||
}
|
||||
|
||||
long cooldownMs = configManager.getRateLimitCooldownMs();
|
||||
Long next = nextAllowedAt.get(userId);
|
||||
if (next != null && nowMillis < next) {
|
||||
return Decision.deny("cooldown", next - nowMillis);
|
||||
}
|
||||
|
||||
String mode = configManager.getRateLimitMode();
|
||||
boolean limitRequests = "requests".equalsIgnoreCase(mode) || "both".equalsIgnoreCase(mode);
|
||||
boolean limitTokens = "tokens".equalsIgnoreCase(mode) || "both".equalsIgnoreCase(mode);
|
||||
|
||||
UserBuckets buckets = perUser.computeIfAbsent(userId, id -> {
|
||||
TokenBucket req = new TokenBucket(
|
||||
configManager.getPerUserBurstRequests(),
|
||||
configManager.getPerUserRequestsPerMinute() / 60.0,
|
||||
nowMillis
|
||||
);
|
||||
TokenBucket tok = new TokenBucket(
|
||||
configManager.getPerUserBurstTokens(),
|
||||
configManager.getPerUserTokensPerMinute() / 60.0,
|
||||
nowMillis
|
||||
);
|
||||
return new UserBuckets(req, tok);
|
||||
});
|
||||
|
||||
if (limitRequests) {
|
||||
if (!globalRequests.tryConsume(1.0, nowMillis) || !buckets.requests.tryConsume(1.0, nowMillis)) {
|
||||
return Decision.deny("rate_limited", 0);
|
||||
}
|
||||
}
|
||||
|
||||
if (limitTokens) {
|
||||
double cost = Math.max(0, estimatedTotalTokens);
|
||||
if (!globalTokens.tryConsume(cost, nowMillis) || !buckets.tokens.tryConsume(cost, nowMillis)) {
|
||||
return Decision.deny("rate_limited", 0);
|
||||
}
|
||||
}
|
||||
|
||||
if (cooldownMs > 0) {
|
||||
nextAllowedAt.put(userId, nowMillis + cooldownMs);
|
||||
}
|
||||
|
||||
return Decision.allow();
|
||||
}
|
||||
}
|
||||
|
||||
@@ -0,0 +1,404 @@
|
||||
package com.ddaodan.MineChatGPT.service;
|
||||
|
||||
import com.ddaodan.MineChatGPT.ConfigManager;
|
||||
import com.ddaodan.MineChatGPT.ConversationContext;
|
||||
import com.ddaodan.MineChatGPT.Main;
|
||||
import org.bukkit.Bukkit;
|
||||
import org.bukkit.command.CommandSender;
|
||||
import org.bukkit.entity.Player;
|
||||
import org.json.JSONArray;
|
||||
import org.json.JSONObject;
|
||||
|
||||
import java.util.ArrayList;
|
||||
import java.util.List;
|
||||
import java.util.concurrent.CompletableFuture;
|
||||
import java.util.concurrent.atomic.AtomicInteger;
|
||||
import java.util.logging.Level;
|
||||
|
||||
public class RequestCoordinator {
|
||||
private static final String SUMMARY_SYSTEM_PROMPT =
|
||||
"You are a summarization assistant. Summarize the conversation for future context. " +
|
||||
"Keep it concise, preserve important facts, user preferences, goals, and constraints. " +
|
||||
"Return ONLY the updated summary text.";
|
||||
|
||||
private final Main plugin;
|
||||
private final ConfigManager configManager;
|
||||
private final ApiService apiService;
|
||||
private final UserSessionManager sessionManager;
|
||||
private volatile RateLimiter rateLimiter;
|
||||
private final AtomicInteger inFlight = new AtomicInteger(0);
|
||||
|
||||
private volatile UsageTracker usageTracker;
|
||||
private volatile TokenEstimator tokenEstimator;
|
||||
private volatile RequestQueue<RequestJob> queue;
|
||||
private volatile int dispatchTaskId = -1;
|
||||
|
||||
public RequestCoordinator(Main plugin, ConfigManager configManager, ApiService apiService, UserSessionManager sessionManager) {
|
||||
this.plugin = plugin;
|
||||
this.configManager = configManager;
|
||||
this.apiService = apiService;
|
||||
this.sessionManager = sessionManager;
|
||||
this.usageTracker = new UsageTracker();
|
||||
reloadFromConfig();
|
||||
}
|
||||
|
||||
public void reloadFromConfig() {
|
||||
this.tokenEstimator = createTokenEstimator(configManager.getRateLimitTokenEstimator());
|
||||
this.queue = new RequestQueue<>(configManager.getQueueMaxSize(), configManager.getQueueMaxPerUser());
|
||||
this.rateLimiter = new RateLimiter(configManager);
|
||||
}
|
||||
|
||||
public UsageTracker getUsageTracker() {
|
||||
return usageTracker;
|
||||
}
|
||||
|
||||
public void resetUsageTracker() {
|
||||
this.usageTracker = new UsageTracker();
|
||||
}
|
||||
|
||||
public void start() {
|
||||
if (dispatchTaskId != -1) {
|
||||
return;
|
||||
}
|
||||
dispatchTaskId = Bukkit.getScheduler().runTaskTimer(plugin, () -> {
|
||||
if (!configManager.isQueueEnabled()) {
|
||||
return;
|
||||
}
|
||||
int maxInFlight = configManager.getQueueMaxInFlight();
|
||||
int perTick = configManager.getQueueDispatchPerTick();
|
||||
for (int i = 0; i < perTick; i++) {
|
||||
if (inFlight.get() >= maxInFlight) {
|
||||
return;
|
||||
}
|
||||
RequestJob job = queue.poll();
|
||||
if (job == null) {
|
||||
return;
|
||||
}
|
||||
dispatch(job);
|
||||
}
|
||||
}, 1L, 1L).getTaskId();
|
||||
}
|
||||
|
||||
public void stop() {
|
||||
if (dispatchTaskId != -1) {
|
||||
Bukkit.getScheduler().cancelTask(dispatchTaskId);
|
||||
dispatchTaskId = -1;
|
||||
}
|
||||
}
|
||||
|
||||
public void submitAsk(CommandSender sender, String question, String userId) {
|
||||
boolean contextEnabled = sessionManager.isContextEnabled(userId);
|
||||
ConversationContext context = sessionManager.getConversationContext(userId);
|
||||
|
||||
int estimatedTokensForLimit = estimateTokensForLimit(userId, question, contextEnabled, context);
|
||||
long now = System.currentTimeMillis();
|
||||
RateLimiter.Decision decision = rateLimiter.tryAcquire(userId, estimatedTokensForLimit, now);
|
||||
if (!decision.allowed) {
|
||||
if ("cooldown".equals(decision.reason)) {
|
||||
sender.sendMessage(configManager.getCooldownMessage().replace("%s", String.valueOf(decision.retryAfterMs)));
|
||||
} else {
|
||||
sender.sendMessage(configManager.getRateLimitedMessage());
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
RequestJob job = new RequestJob(sender, question, userId, contextEnabled, estimatedTokensForLimit);
|
||||
|
||||
if (!configManager.isQueueEnabled()) {
|
||||
int maxInFlight = configManager.getQueueMaxInFlight();
|
||||
if (inFlight.get() >= maxInFlight) {
|
||||
sender.sendMessage(configManager.getQueueFullMessage());
|
||||
return;
|
||||
}
|
||||
dispatch(job);
|
||||
return;
|
||||
}
|
||||
|
||||
RequestQueue.EnqueueResult result = queue.tryEnqueue(userId, job);
|
||||
if (!result.accepted) {
|
||||
if ("queue_full_user".equals(result.reason)) {
|
||||
sender.sendMessage(configManager.getQueueFullUserMessage());
|
||||
} else {
|
||||
sender.sendMessage(configManager.getQueueFullMessage());
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
sender.sendMessage(configManager.getQueuedMessage().replace("%s", String.valueOf(result.position)));
|
||||
}
|
||||
|
||||
private void dispatch(RequestJob job) {
|
||||
inFlight.incrementAndGet();
|
||||
process(job)
|
||||
.whenComplete((ignored, e) -> {
|
||||
if (e != null) {
|
||||
plugin.getLogger().log(Level.SEVERE, "Job failed: " + e.getMessage(), e);
|
||||
}
|
||||
inFlight.decrementAndGet();
|
||||
});
|
||||
}
|
||||
|
||||
private CompletableFuture<Void> process(RequestJob job) {
|
||||
if (job.sender instanceof Player) {
|
||||
Player player = (Player) job.sender;
|
||||
if (!player.isOnline()) {
|
||||
return CompletableFuture.completedFuture(null);
|
||||
}
|
||||
}
|
||||
|
||||
ConversationContext context = sessionManager.getConversationContext(job.userId);
|
||||
String characterName = sessionManager.getCurrentCharacter(job.userId);
|
||||
String characterPrompt = configManager.getCharacters().get(characterName);
|
||||
String summary = sessionManager.getSummary(job.userId);
|
||||
|
||||
CompletableFuture<Void> maybeSummarize = ensureContextWithinBudget(job.userId, job.contextEnabled, characterPrompt, summary, context);
|
||||
|
||||
return maybeSummarize.thenCompose(v -> {
|
||||
String updatedSummary = sessionManager.getSummary(job.userId);
|
||||
JSONArray messages = buildMessages(job.contextEnabled, characterPrompt, updatedSummary, context, job.question);
|
||||
String model = configManager.getCurrentModel();
|
||||
return apiService.createChatCompletion(model, messages)
|
||||
.thenAccept(result -> handleCompletion(job, characterName, result));
|
||||
});
|
||||
}
|
||||
|
||||
private void handleCompletion(RequestJob job, String characterName, ApiService.ChatCompletionResult result) {
|
||||
Bukkit.getScheduler().runTask(plugin, () -> {
|
||||
if (!plugin.isEnabled()) {
|
||||
return;
|
||||
}
|
||||
if (job.sender instanceof Player) {
|
||||
Player player = (Player) job.sender;
|
||||
if (!player.isOnline()) {
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
if (!result.isSuccess()) {
|
||||
job.sender.sendMessage(result.errorMessage);
|
||||
if (configManager.isDebugMode() && result.debugDetails != null && !result.debugDetails.isEmpty()) {
|
||||
job.sender.sendMessage(result.debugDetails);
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
String formatted = formatTwoPlaceholders(configManager.getChatGPTResponseMessage(), characterName, result.answer);
|
||||
sendMultiline(job.sender, formatted);
|
||||
|
||||
if (job.contextEnabled) {
|
||||
ConversationContext ctx = sessionManager.getConversationContext(job.userId);
|
||||
ctx.addUserMessage(job.question);
|
||||
ctx.addAssistantMessage(result.answer);
|
||||
}
|
||||
|
||||
long promptTokens = 0;
|
||||
long completionTokens = 0;
|
||||
long totalTokens = 0;
|
||||
if (result.usage != null) {
|
||||
promptTokens = result.usage.promptTokens;
|
||||
completionTokens = result.usage.completionTokens;
|
||||
totalTokens = result.usage.totalTokens;
|
||||
} else {
|
||||
// fallback estimation
|
||||
int estimatedPrompt = estimatePromptTokens(job.userId, job.question, job.contextEnabled);
|
||||
int estimatedCompletion = tokenEstimator.estimateTextTokens(result.answer);
|
||||
promptTokens = Math.max(0, estimatedPrompt);
|
||||
completionTokens = Math.max(0, estimatedCompletion);
|
||||
totalTokens = promptTokens + completionTokens;
|
||||
}
|
||||
usageTracker.record(job.userId, promptTokens, completionTokens, totalTokens);
|
||||
});
|
||||
}
|
||||
|
||||
private CompletableFuture<Void> ensureContextWithinBudget(String userId, boolean contextEnabled, String characterPrompt, String summary, ConversationContext context) {
|
||||
if (!contextEnabled) {
|
||||
return CompletableFuture.completedFuture(null);
|
||||
}
|
||||
|
||||
if (!configManager.isSummarizationEnabled()) {
|
||||
trimContextToBudget(characterPrompt, summary, context);
|
||||
return CompletableFuture.completedFuture(null);
|
||||
}
|
||||
|
||||
int trigger = configManager.getSummarizationTriggerTokens();
|
||||
int estimated = estimateContextTokens(characterPrompt, summary, context);
|
||||
if (estimated <= trigger) {
|
||||
trimContextToBudget(characterPrompt, summary, context);
|
||||
return CompletableFuture.completedFuture(null);
|
||||
}
|
||||
|
||||
int keepLast = configManager.getSummarizationKeepLastMessages();
|
||||
List<ConversationContext.Message> history = context.getMessages();
|
||||
if (history.size() <= keepLast) {
|
||||
trimContextToBudget(characterPrompt, summary, context);
|
||||
return CompletableFuture.completedFuture(null);
|
||||
}
|
||||
|
||||
List<ConversationContext.Message> toSummarize = history.subList(0, history.size() - keepLast);
|
||||
List<ConversationContext.Message> toKeep = history.subList(history.size() - keepLast, history.size());
|
||||
|
||||
JSONArray summarizeMessages = new JSONArray();
|
||||
summarizeMessages.put(new JSONObject().put("role", "system").put("content", SUMMARY_SYSTEM_PROMPT));
|
||||
|
||||
StringBuilder sb = new StringBuilder();
|
||||
String existing = sessionManager.getSummary(userId);
|
||||
if (existing != null && !existing.trim().isEmpty()) {
|
||||
sb.append("Current summary:\n").append(existing.trim()).append("\n\n");
|
||||
}
|
||||
sb.append("Conversation to summarize:\n");
|
||||
for (ConversationContext.Message msg : toSummarize) {
|
||||
sb.append(msg.getRole()).append(": ").append(msg.getContent()).append("\n");
|
||||
}
|
||||
summarizeMessages.put(new JSONObject().put("role", "user").put("content", sb.toString()));
|
||||
|
||||
String model = configManager.getSummarizationModel();
|
||||
return apiService.createChatCompletion(model, summarizeMessages)
|
||||
.thenCompose(result -> runSync(() -> {
|
||||
if (!result.isSuccess()) {
|
||||
return;
|
||||
}
|
||||
String newSummary = result.answer == null ? "" : result.answer.trim();
|
||||
sessionManager.setSummary(userId, newSummary);
|
||||
context.setMessages(new ArrayList<>(toKeep));
|
||||
trimContextToBudget(characterPrompt, newSummary, context);
|
||||
|
||||
if (result.usage != null) {
|
||||
usageTracker.record(userId, result.usage.promptTokens, result.usage.completionTokens, result.usage.totalTokens);
|
||||
}
|
||||
}));
|
||||
}
|
||||
|
||||
private CompletableFuture<Void> runSync(Runnable runnable) {
|
||||
CompletableFuture<Void> future = new CompletableFuture<>();
|
||||
Bukkit.getScheduler().runTask(plugin, () -> {
|
||||
try {
|
||||
runnable.run();
|
||||
future.complete(null);
|
||||
} catch (Exception e) {
|
||||
future.completeExceptionally(e);
|
||||
}
|
||||
});
|
||||
return future;
|
||||
}
|
||||
|
||||
private void trimContextToBudget(String characterPrompt, String summary, ConversationContext context) {
|
||||
int budget = configManager.getMaxContextTokens();
|
||||
if (budget <= 0) {
|
||||
return;
|
||||
}
|
||||
while (estimateContextTokens(characterPrompt, summary, context) > budget) {
|
||||
List<ConversationContext.Message> history = context.getMessages();
|
||||
if (history.isEmpty()) {
|
||||
return;
|
||||
}
|
||||
context.removeOldestMessage();
|
||||
}
|
||||
}
|
||||
|
||||
private int estimateContextTokens(String characterPrompt, String summary, ConversationContext context) {
|
||||
int total = 0;
|
||||
if (characterPrompt != null && !characterPrompt.isEmpty()) {
|
||||
total += tokenEstimator.estimateMessageTokens("system", characterPrompt);
|
||||
}
|
||||
if (summary != null && !summary.trim().isEmpty()) {
|
||||
total += tokenEstimator.estimateMessageTokens("system", "Conversation summary:\n" + summary.trim());
|
||||
}
|
||||
for (ConversationContext.Message msg : context.getMessages()) {
|
||||
total += tokenEstimator.estimateMessageTokens(msg.getRole(), msg.getContent());
|
||||
}
|
||||
return total;
|
||||
}
|
||||
|
||||
private int estimatePromptTokens(String userId, String question, boolean contextEnabled) {
|
||||
ConversationContext context = sessionManager.getConversationContext(userId);
|
||||
String characterName = sessionManager.getCurrentCharacter(userId);
|
||||
String characterPrompt = configManager.getCharacters().get(characterName);
|
||||
String summary = sessionManager.getSummary(userId);
|
||||
|
||||
int total = 0;
|
||||
if (characterPrompt != null && !characterPrompt.isEmpty()) {
|
||||
total += tokenEstimator.estimateMessageTokens("system", characterPrompt);
|
||||
}
|
||||
if (contextEnabled) {
|
||||
if (summary != null && !summary.trim().isEmpty()) {
|
||||
total += tokenEstimator.estimateMessageTokens("system", "Conversation summary:\n" + summary.trim());
|
||||
}
|
||||
for (ConversationContext.Message msg : context.getMessages()) {
|
||||
total += tokenEstimator.estimateMessageTokens(msg.getRole(), msg.getContent());
|
||||
}
|
||||
}
|
||||
total += tokenEstimator.estimateMessageTokens("user", question);
|
||||
return total;
|
||||
}
|
||||
|
||||
private int estimateTokensForLimit(String userId, String question, boolean contextEnabled, ConversationContext context) {
|
||||
int assumedCompletion = configManager.getRateLimitAssumedCompletionTokens();
|
||||
int reserve = configManager.getReserveCompletionTokens();
|
||||
int completionBudget = Math.max(assumedCompletion, reserve);
|
||||
int prompt = estimatePromptTokens(userId, question, contextEnabled);
|
||||
return prompt + completionBudget;
|
||||
}
|
||||
|
||||
private JSONArray buildMessages(boolean contextEnabled, String characterPrompt, String summary, ConversationContext context, String question) {
|
||||
JSONArray messages = new JSONArray();
|
||||
if (characterPrompt != null && !characterPrompt.isEmpty()) {
|
||||
messages.put(new JSONObject().put("role", "system").put("content", characterPrompt));
|
||||
}
|
||||
if (contextEnabled) {
|
||||
if (summary != null && !summary.trim().isEmpty()) {
|
||||
messages.put(new JSONObject().put("role", "system").put("content", "Conversation summary:\n" + summary.trim()));
|
||||
}
|
||||
for (ConversationContext.Message msg : context.getMessages()) {
|
||||
messages.put(new JSONObject().put("role", msg.getRole()).put("content", msg.getContent()));
|
||||
}
|
||||
}
|
||||
messages.put(new JSONObject().put("role", "user").put("content", question));
|
||||
return messages;
|
||||
}
|
||||
|
||||
private static void sendMultiline(CommandSender sender, String message) {
|
||||
String[] lines = message.split("\\R", -1);
|
||||
for (String line : lines) {
|
||||
if (!line.isEmpty()) {
|
||||
sender.sendMessage(line);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
private static String formatTwoPlaceholders(String template, String first, String second) {
|
||||
String withFirst = replaceFirstLiteral(template, "%s", first);
|
||||
return replaceFirstLiteral(withFirst, "%s", second);
|
||||
}
|
||||
|
||||
private static String replaceFirstLiteral(String template, String token, String replacement) {
|
||||
int index = template.indexOf(token);
|
||||
if (index < 0) {
|
||||
return template;
|
||||
}
|
||||
return template.substring(0, index) + replacement + template.substring(index + token.length());
|
||||
}
|
||||
|
||||
private static TokenEstimator createTokenEstimator(String type) {
|
||||
if ("approx_chars".equalsIgnoreCase(type)) {
|
||||
return new ApproxCharTokenEstimator();
|
||||
}
|
||||
return new ApproxCharTokenEstimator();
|
||||
}
|
||||
|
||||
private static final class RequestJob {
|
||||
private final CommandSender sender;
|
||||
private final String question;
|
||||
private final String userId;
|
||||
private final boolean contextEnabled;
|
||||
@SuppressWarnings("unused")
|
||||
private final int estimatedTokensForLimit;
|
||||
|
||||
private RequestJob(CommandSender sender, String question, String userId, boolean contextEnabled, int estimatedTokensForLimit) {
|
||||
this.sender = sender;
|
||||
this.question = question;
|
||||
this.userId = userId;
|
||||
this.contextEnabled = contextEnabled;
|
||||
this.estimatedTokensForLimit = estimatedTokensForLimit;
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,83 @@
|
||||
package com.ddaodan.MineChatGPT.service;
|
||||
|
||||
import java.util.ArrayDeque;
|
||||
import java.util.Deque;
|
||||
import java.util.HashMap;
|
||||
import java.util.Map;
|
||||
|
||||
public class RequestQueue<T> {
|
||||
public static final class EnqueueResult {
|
||||
public final boolean accepted;
|
||||
public final int position;
|
||||
public final String reason;
|
||||
|
||||
private EnqueueResult(boolean accepted, int position, String reason) {
|
||||
this.accepted = accepted;
|
||||
this.position = position;
|
||||
this.reason = reason;
|
||||
}
|
||||
|
||||
public static EnqueueResult accepted(int position) {
|
||||
return new EnqueueResult(true, position, null);
|
||||
}
|
||||
|
||||
public static EnqueueResult rejected(String reason) {
|
||||
return new EnqueueResult(false, -1, reason);
|
||||
}
|
||||
}
|
||||
|
||||
private final int maxSize;
|
||||
private final int maxPerUser;
|
||||
private final Deque<Entry<T>> queue = new ArrayDeque<>();
|
||||
private final Map<String, Integer> perUserCounts = new HashMap<>();
|
||||
|
||||
private static final class Entry<T> {
|
||||
private final String userId;
|
||||
private final T item;
|
||||
|
||||
private Entry(String userId, T item) {
|
||||
this.userId = userId;
|
||||
this.item = item;
|
||||
}
|
||||
}
|
||||
|
||||
public RequestQueue(int maxSize, int maxPerUser) {
|
||||
this.maxSize = Math.max(0, maxSize);
|
||||
this.maxPerUser = Math.max(0, maxPerUser);
|
||||
}
|
||||
|
||||
public synchronized EnqueueResult tryEnqueue(String userId, T item) {
|
||||
if (maxSize > 0 && queue.size() >= maxSize) {
|
||||
return EnqueueResult.rejected("queue_full");
|
||||
}
|
||||
int count = perUserCounts.getOrDefault(userId, 0);
|
||||
if (maxPerUser > 0 && count >= maxPerUser) {
|
||||
return EnqueueResult.rejected("queue_full_user");
|
||||
}
|
||||
queue.addLast(new Entry<>(userId, item));
|
||||
perUserCounts.put(userId, count + 1);
|
||||
return EnqueueResult.accepted(queue.size());
|
||||
}
|
||||
|
||||
public synchronized T poll() {
|
||||
Entry<T> entry = queue.pollFirst();
|
||||
if (entry == null) {
|
||||
return null;
|
||||
}
|
||||
Integer count = perUserCounts.get(entry.userId);
|
||||
if (count != null) {
|
||||
int next = count - 1;
|
||||
if (next <= 0) {
|
||||
perUserCounts.remove(entry.userId);
|
||||
} else {
|
||||
perUserCounts.put(entry.userId, next);
|
||||
}
|
||||
}
|
||||
return entry.item;
|
||||
}
|
||||
|
||||
public synchronized int size() {
|
||||
return queue.size();
|
||||
}
|
||||
}
|
||||
|
||||
@@ -0,0 +1,48 @@
|
||||
package com.ddaodan.MineChatGPT.service;
|
||||
|
||||
public class TokenBucket {
|
||||
private final double capacity;
|
||||
private final double refillTokensPerMillis;
|
||||
private double tokens;
|
||||
private long lastRefillMillis;
|
||||
|
||||
public TokenBucket(double capacity, double refillTokensPerSecond, long nowMillis) {
|
||||
this.capacity = Math.max(0.0, capacity);
|
||||
this.refillTokensPerMillis = Math.max(0.0, refillTokensPerSecond) / 1000.0;
|
||||
this.tokens = this.capacity;
|
||||
this.lastRefillMillis = nowMillis;
|
||||
}
|
||||
|
||||
public synchronized boolean tryConsume(double amount, long nowMillis) {
|
||||
refill(nowMillis);
|
||||
if (amount <= 0) {
|
||||
return true;
|
||||
}
|
||||
if (tokens >= amount) {
|
||||
tokens -= amount;
|
||||
return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
public synchronized void refund(double amount, long nowMillis) {
|
||||
refill(nowMillis);
|
||||
if (amount <= 0) {
|
||||
return;
|
||||
}
|
||||
tokens = Math.min(capacity, tokens + amount);
|
||||
}
|
||||
|
||||
private void refill(long nowMillis) {
|
||||
if (nowMillis <= lastRefillMillis) {
|
||||
return;
|
||||
}
|
||||
double elapsed = nowMillis - lastRefillMillis;
|
||||
double add = elapsed * refillTokensPerMillis;
|
||||
if (add > 0) {
|
||||
tokens = Math.min(capacity, tokens + add);
|
||||
}
|
||||
lastRefillMillis = nowMillis;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -0,0 +1,11 @@
|
||||
package com.ddaodan.MineChatGPT.service;
|
||||
|
||||
public interface TokenEstimator {
|
||||
int estimateTextTokens(String text);
|
||||
|
||||
default int estimateMessageTokens(String role, String content) {
|
||||
int base = 4; // message overhead (approx)
|
||||
return base + estimateTextTokens(role) + estimateTextTokens(content);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -0,0 +1,72 @@
|
||||
package com.ddaodan.MineChatGPT.service;
|
||||
|
||||
import java.util.Map;
|
||||
import java.util.concurrent.ConcurrentHashMap;
|
||||
import java.util.concurrent.atomic.LongAdder;
|
||||
|
||||
public class UsageTracker {
|
||||
public static final class Snapshot {
|
||||
public final long requests;
|
||||
public final long promptTokens;
|
||||
public final long completionTokens;
|
||||
public final long totalTokens;
|
||||
|
||||
private Snapshot(long requests, long promptTokens, long completionTokens, long totalTokens) {
|
||||
this.requests = requests;
|
||||
this.promptTokens = promptTokens;
|
||||
this.completionTokens = completionTokens;
|
||||
this.totalTokens = totalTokens;
|
||||
}
|
||||
}
|
||||
|
||||
private static final class Counters {
|
||||
private final LongAdder requests = new LongAdder();
|
||||
private final LongAdder promptTokens = new LongAdder();
|
||||
private final LongAdder completionTokens = new LongAdder();
|
||||
private final LongAdder totalTokens = new LongAdder();
|
||||
|
||||
private Snapshot snapshot() {
|
||||
return new Snapshot(
|
||||
requests.sum(),
|
||||
promptTokens.sum(),
|
||||
completionTokens.sum(),
|
||||
totalTokens.sum()
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
private final Counters global = new Counters();
|
||||
private final Map<String, Counters> perUser = new ConcurrentHashMap<>();
|
||||
|
||||
public void record(String userId, long promptTokens, long completionTokens, long totalTokens) {
|
||||
global.requests.increment();
|
||||
global.promptTokens.add(promptTokens);
|
||||
global.completionTokens.add(completionTokens);
|
||||
global.totalTokens.add(totalTokens);
|
||||
|
||||
Counters user = perUser.computeIfAbsent(userId, k -> new Counters());
|
||||
user.requests.increment();
|
||||
user.promptTokens.add(promptTokens);
|
||||
user.completionTokens.add(completionTokens);
|
||||
user.totalTokens.add(totalTokens);
|
||||
}
|
||||
|
||||
public Snapshot getGlobal() {
|
||||
return global.snapshot();
|
||||
}
|
||||
|
||||
public Snapshot getUser(String userId) {
|
||||
Counters user = perUser.get(userId);
|
||||
if (user == null) {
|
||||
return new Snapshot(0, 0, 0, 0);
|
||||
}
|
||||
return user.snapshot();
|
||||
}
|
||||
|
||||
public void reset() {
|
||||
perUser.clear();
|
||||
// global LongAdder has no reset without recreating
|
||||
// Create a new UsageTracker if you need a hard reset
|
||||
}
|
||||
}
|
||||
|
||||
@@ -0,0 +1,114 @@
|
||||
package com.ddaodan.MineChatGPT.service;
|
||||
|
||||
import com.ddaodan.MineChatGPT.ConfigManager;
|
||||
import com.ddaodan.MineChatGPT.ConversationContext;
|
||||
|
||||
import java.util.HashMap;
|
||||
import java.util.Map;
|
||||
|
||||
/**
|
||||
* 用户会话管理类，负责管理用户的会话状态和上下文
|
||||
*/
|
||||
public class UserSessionManager {
|
||||
private final ConfigManager configManager;
|
||||
private final Map<String, ConversationContext> userContexts;
|
||||
private final Map<String, Boolean> userContextEnabled;
|
||||
private final Map<String, String> userCurrentCharacter;
|
||||
private final Map<String, String> userSummaries;
|
||||
|
||||
public UserSessionManager(ConfigManager configManager) {
|
||||
this.configManager = configManager;
|
||||
this.userContexts = new HashMap<>();
|
||||
this.userContextEnabled = new HashMap<>();
|
||||
this.userCurrentCharacter = new HashMap<>();
|
||||
this.userSummaries = new HashMap<>();
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取用户的对话上下文
|
||||
*
|
||||
* @param userId 用户ID
|
||||
* @return 对话上下文
|
||||
*/
|
||||
public ConversationContext getConversationContext(String userId) {
|
||||
if (!userContexts.containsKey(userId)) {
|
||||
userContexts.put(userId, new ConversationContext(configManager.getMaxHistorySize()));
|
||||
userContextEnabled.put(userId, configManager.isContextEnabled());
|
||||
}
|
||||
return userContexts.get(userId);
|
||||
}
|
||||
|
||||
/**
|
||||
* 判断用户是否启用了上下文
|
||||
*
|
||||
* @param userId 用户ID
|
||||
* @return 是否启用上下文
|
||||
*/
|
||||
public boolean isContextEnabled(String userId) {
|
||||
if (!userContextEnabled.containsKey(userId)) {
|
||||
userContextEnabled.put(userId, configManager.isContextEnabled());
|
||||
}
|
||||
return userContextEnabled.get(userId);
|
||||
}
|
||||
|
||||
/**
|
||||
* 设置用户的上下文启用状态
|
||||
*
|
||||
* @param userId 用户ID
|
||||
* @param enabled 是否启用
|
||||
*/
|
||||
public void setContextEnabled(String userId, boolean enabled) {
|
||||
userContextEnabled.put(userId, enabled);
|
||||
}
|
||||
|
||||
/**
|
||||
* 清除用户的对话历史
|
||||
*
|
||||
* @param userId 用户ID
|
||||
*/
|
||||
public void clearConversationHistory(String userId) {
|
||||
ConversationContext context = getConversationContext(userId);
|
||||
context.clearHistory();
|
||||
clearSummary(userId);
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取用户当前使用的角色
|
||||
*
|
||||
* @param userId 用户ID
|
||||
* @return 角色名称
|
||||
*/
|
||||
public String getCurrentCharacter(String userId) {
|
||||
if (!userCurrentCharacter.containsKey(userId)) {
|
||||
userCurrentCharacter.put(userId, configManager.getCurrentCharacter(userId));
|
||||
}
|
||||
return userCurrentCharacter.get(userId);
|
||||
}
|
||||
|
||||
/**
|
||||
* 设置用户当前使用的角色
|
||||
*
|
||||
* @param userId 用户ID
|
||||
* @param character 角色名称
|
||||
*/
|
||||
public void setCurrentCharacter(String userId, String character) {
|
||||
userCurrentCharacter.put(userId, character);
|
||||
configManager.setCurrentCharacter(userId, character);
|
||||
}
|
||||
|
||||
public String getSummary(String userId) {
|
||||
return userSummaries.getOrDefault(userId, "");
|
||||
}
|
||||
|
||||
public void setSummary(String userId, String summary) {
|
||||
if (summary == null) {
|
||||
userSummaries.remove(userId);
|
||||
return;
|
||||
}
|
||||
userSummaries.put(userId, summary);
|
||||
}
|
||||
|
||||
public void clearSummary(String userId) {
|
||||
userSummaries.remove(userId);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,9 @@
|
||||
package com.ddaodan.MineChatGPT.util;
|
||||
|
||||
import org.bukkit.ChatColor;
|
||||
|
||||
public class ChatUtils {
|
||||
public static String translateColorCodes(String message) {
|
||||
return ChatColor.translateAlternateColorCodes('&', message);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,424 @@
|
||||
package com.ddaodan.MineChatGPT.util;
|
||||
|
||||
import org.bukkit.configuration.file.YamlConfiguration;
|
||||
import org.bukkit.plugin.java.JavaPlugin;
|
||||
|
||||
import java.io.BufferedReader;
|
||||
import java.io.File;
|
||||
import java.io.IOException;
|
||||
import java.io.InputStream;
|
||||
import java.io.InputStreamReader;
|
||||
import java.io.Reader;
|
||||
import java.nio.charset.StandardCharsets;
|
||||
import java.nio.file.Files;
|
||||
import java.nio.file.StandardCopyOption;
|
||||
import java.text.SimpleDateFormat;
|
||||
import java.util.ArrayDeque;
|
||||
import java.util.ArrayList;
|
||||
import java.util.Collections;
|
||||
import java.util.Date;
|
||||
import java.util.LinkedHashMap;
|
||||
import java.util.List;
|
||||
import java.util.Locale;
|
||||
import java.util.Map;
|
||||
import java.util.Set;
|
||||
import java.util.TreeSet;
|
||||
|
||||
public final class ConfigFileUpdater {
|
||||
private ConfigFileUpdater() {
|
||||
}
|
||||
|
||||
public static UpdateResult updateIfMissingKeys(JavaPlugin plugin, String resourcePath) {
|
||||
File configFile = new File(plugin.getDataFolder(), resourcePath);
|
||||
if (!configFile.exists()) {
|
||||
plugin.saveResource(resourcePath, false);
|
||||
return UpdateResult.noChange();
|
||||
}
|
||||
|
||||
try {
|
||||
YamlConfiguration currentYaml = YamlConfiguration.loadConfiguration(configFile);
|
||||
YamlConfiguration defaultYaml = loadYamlFromResource(plugin, resourcePath);
|
||||
if (defaultYaml == null) {
|
||||
return UpdateResult.noChange();
|
||||
}
|
||||
|
||||
List<String> defaultLines = readResourceLines(plugin, resourcePath);
|
||||
if (defaultLines.isEmpty()) {
|
||||
return UpdateResult.noChange();
|
||||
}
|
||||
DocumentModel defaultModel = parseDocument(defaultLines);
|
||||
|
||||
List<String> missingTopLevelPaths = collectMissingTopPaths(currentYaml, defaultYaml, defaultModel);
|
||||
if (missingTopLevelPaths.isEmpty()) {
|
||||
return UpdateResult.noChange();
|
||||
}
|
||||
|
||||
List<String> currentLines = Files.readAllLines(configFile.toPath(), StandardCharsets.UTF_8);
|
||||
int inserted = 0;
|
||||
for (String missingPath : missingTopLevelPaths) {
|
||||
Entry source = defaultModel.entriesByPath.get(missingPath);
|
||||
if (source == null) {
|
||||
continue;
|
||||
}
|
||||
|
||||
List<String> snippet = new ArrayList<>(
|
||||
defaultLines.subList(source.startLine, source.endLine + 1)
|
||||
);
|
||||
if (snippet.isEmpty()) {
|
||||
continue;
|
||||
}
|
||||
|
||||
DocumentModel currentModel = parseDocument(currentLines);
|
||||
int insertAt = findInsertIndex(currentLines, currentModel, defaultModel, missingPath);
|
||||
if (insertAt < 0 || insertAt > currentLines.size()) {
|
||||
insertAt = currentLines.size();
|
||||
}
|
||||
insertSnippetWithSpacing(currentLines, insertAt, snippet);
|
||||
inserted++;
|
||||
}
|
||||
|
||||
if (inserted == 0) {
|
||||
return UpdateResult.noChange();
|
||||
}
|
||||
|
||||
File backup = createBackup(configFile);
|
||||
Files.write(configFile.toPath(), currentLines, StandardCharsets.UTF_8);
|
||||
return UpdateResult.updated(inserted, backup.getName());
|
||||
} catch (Exception ex) {
|
||||
plugin.getLogger().warning("Failed to auto-update config.yml: " + ex.getMessage());
|
||||
return UpdateResult.noChange();
|
||||
}
|
||||
}
|
||||
|
||||
private static YamlConfiguration loadYamlFromResource(JavaPlugin plugin, String resourcePath) {
|
||||
InputStream inputStream = plugin.getResource(resourcePath);
|
||||
if (inputStream == null) {
|
||||
return null;
|
||||
}
|
||||
try (Reader reader = new InputStreamReader(inputStream, StandardCharsets.UTF_8)) {
|
||||
return YamlConfiguration.loadConfiguration(reader);
|
||||
} catch (IOException ex) {
|
||||
plugin.getLogger().warning("Failed to read default config resource: " + ex.getMessage());
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
private static List<String> collectMissingTopPaths(
|
||||
YamlConfiguration currentYaml,
|
||||
YamlConfiguration defaultYaml,
|
||||
DocumentModel defaultModel
|
||||
) {
|
||||
Set<String> missing = new TreeSet<String>();
|
||||
for (String key : defaultYaml.getKeys(true)) {
|
||||
if (!currentYaml.contains(key)) {
|
||||
missing.add(key);
|
||||
}
|
||||
}
|
||||
if (missing.isEmpty()) {
|
||||
return Collections.emptyList();
|
||||
}
|
||||
|
||||
List<String> top = new ArrayList<String>();
|
||||
for (Entry entry : defaultModel.entriesInOrder) {
|
||||
String path = entry.path;
|
||||
if (!missing.contains(path)) {
|
||||
continue;
|
||||
}
|
||||
if (!hasAncestor(top, path)) {
|
||||
top.add(path);
|
||||
}
|
||||
}
|
||||
return top;
|
||||
}
|
||||
|
||||
private static boolean hasAncestor(List<String> selected, String path) {
|
||||
int index = path.lastIndexOf('.');
|
||||
while (index > 0) {
|
||||
String parent = path.substring(0, index);
|
||||
if (selected.contains(parent)) {
|
||||
return true;
|
||||
}
|
||||
index = parent.lastIndexOf('.');
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
private static List<String> readResourceLines(JavaPlugin plugin, String resourcePath) throws IOException {
|
||||
InputStream inputStream = plugin.getResource(resourcePath);
|
||||
if (inputStream == null) {
|
||||
return Collections.emptyList();
|
||||
}
|
||||
List<String> lines = new ArrayList<String>();
|
||||
try (BufferedReader reader = new BufferedReader(new InputStreamReader(inputStream, StandardCharsets.UTF_8))) {
|
||||
String line;
|
||||
while ((line = reader.readLine()) != null) {
|
||||
lines.add(line);
|
||||
}
|
||||
}
|
||||
return lines;
|
||||
}
|
||||
|
||||
private static int findInsertIndex(
|
||||
List<String> currentLines,
|
||||
DocumentModel currentModel,
|
||||
DocumentModel defaultModel,
|
||||
String path
|
||||
) {
|
||||
String parentPath = getParentPath(path);
|
||||
int beforeSibling = findNextExistingSiblingStartLine(currentModel, defaultModel, path, parentPath);
|
||||
if (beforeSibling >= 0) {
|
||||
return beforeSibling;
|
||||
}
|
||||
|
||||
if (parentPath == null) {
|
||||
Entry lastRoot = null;
|
||||
for (Entry entry : currentModel.entriesInOrder) {
|
||||
if (getParentPath(entry.path) == null) {
|
||||
lastRoot = entry;
|
||||
}
|
||||
}
|
||||
return lastRoot == null ? currentLines.size() : lastRoot.endLine + 1;
|
||||
}
|
||||
|
||||
Entry parent = currentModel.entriesByPath.get(parentPath);
|
||||
if (parent == null) {
|
||||
return currentLines.size();
|
||||
}
|
||||
return parent.endLine + 1;
|
||||
}
|
||||
|
||||
private static int findNextExistingSiblingStartLine(
|
||||
DocumentModel currentModel,
|
||||
DocumentModel defaultModel,
|
||||
String path,
|
||||
String parentPath
|
||||
) {
|
||||
boolean foundSelf = false;
|
||||
for (Entry defaultEntry : defaultModel.entriesInOrder) {
|
||||
if (!isDirectChildOf(defaultEntry.path, parentPath)) {
|
||||
continue;
|
||||
}
|
||||
|
||||
if (!foundSelf) {
|
||||
if (defaultEntry.path.equals(path)) {
|
||||
foundSelf = true;
|
||||
}
|
||||
continue;
|
||||
}
|
||||
|
||||
Entry existingSibling = currentModel.entriesByPath.get(defaultEntry.path);
|
||||
if (existingSibling != null) {
|
||||
return existingSibling.startLine;
|
||||
}
|
||||
}
|
||||
return -1;
|
||||
}
|
||||
|
||||
private static boolean isDirectChildOf(String path, String parentPath) {
|
||||
String actualParent = getParentPath(path);
|
||||
if (parentPath == null) {
|
||||
return actualParent == null;
|
||||
}
|
||||
return parentPath.equals(actualParent);
|
||||
}
|
||||
|
||||
private static String getParentPath(String path) {
|
||||
int dot = path.lastIndexOf('.');
|
||||
if (dot <= 0) {
|
||||
return null;
|
||||
}
|
||||
return path.substring(0, dot);
|
||||
}
|
||||
|
||||
private static void insertSnippetWithSpacing(List<String> lines, int insertAt, List<String> snippet) {
|
||||
if (snippet.isEmpty()) {
|
||||
return;
|
||||
}
|
||||
|
||||
// Avoid carrying leading/trailing blank lines from the template snippet.
|
||||
int from = 0;
|
||||
int to = snippet.size() - 1;
|
||||
while (from <= to && snippet.get(from).trim().isEmpty()) {
|
||||
from++;
|
||||
}
|
||||
while (to >= from && snippet.get(to).trim().isEmpty()) {
|
||||
to--;
|
||||
}
|
||||
if (from > to) {
|
||||
return;
|
||||
}
|
||||
|
||||
List<String> normalized = new ArrayList<String>(snippet.subList(from, to + 1));
|
||||
int index = insertAt;
|
||||
boolean isTopLevel = isTopLevelSnippet(normalized);
|
||||
if (isTopLevel
|
||||
&& index > 0
|
||||
&& !lines.get(index - 1).trim().isEmpty()
|
||||
&& !normalized.get(0).trim().isEmpty()
|
||||
&& (index >= lines.size() || !lines.get(index).trim().isEmpty())) {
|
||||
lines.add(index, "");
|
||||
index++;
|
||||
}
|
||||
lines.addAll(index, normalized);
|
||||
}
|
||||
|
||||
private static boolean isTopLevelSnippet(List<String> snippet) {
|
||||
for (String line : snippet) {
|
||||
KeyLine keyLine = parseKeyLine(line);
|
||||
if (keyLine != null) {
|
||||
return keyLine.indent == 0;
|
||||
}
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
private static File createBackup(File configFile) throws IOException {
|
||||
String suffix = new SimpleDateFormat("yyyyMMdd-HHmmss", Locale.ROOT).format(new Date());
|
||||
File backup = new File(configFile.getParentFile(), configFile.getName() + ".bak." + suffix);
|
||||
Files.copy(configFile.toPath(), backup.toPath(), StandardCopyOption.REPLACE_EXISTING);
|
||||
return backup;
|
||||
}
|
||||
|
||||
private static DocumentModel parseDocument(List<String> lines) {
|
||||
List<Entry> ordered = new ArrayList<Entry>();
|
||||
Map<String, Entry> byPath = new LinkedHashMap<String, Entry>();
|
||||
ArrayDeque<Entry> stack = new ArrayDeque<Entry>();
|
||||
|
||||
for (int i = 0; i < lines.size(); i++) {
|
||||
KeyLine keyLine = parseKeyLine(lines.get(i));
|
||||
if (keyLine == null) {
|
||||
continue;
|
||||
}
|
||||
|
||||
while (!stack.isEmpty() && keyLine.indent <= stack.peek().indent) {
|
||||
stack.pop();
|
||||
}
|
||||
|
||||
String path = stack.isEmpty() ? keyLine.key : stack.peek().path + "." + keyLine.key;
|
||||
Entry entry = new Entry(path, keyLine.indent, i);
|
||||
ordered.add(entry);
|
||||
byPath.put(path, entry);
|
||||
stack.push(entry);
|
||||
}
|
||||
|
||||
for (Entry entry : ordered) {
|
||||
entry.startLine = findSnippetStartLine(lines, entry.line);
|
||||
entry.endLine = findValueEndLine(lines, entry.line, entry.indent);
|
||||
}
|
||||
|
||||
return new DocumentModel(ordered, byPath);
|
||||
}
|
||||
|
||||
private static int findSnippetStartLine(List<String> lines, int keyLineIndex) {
|
||||
int start = keyLineIndex;
|
||||
for (int i = keyLineIndex - 1; i >= 0; i--) {
|
||||
String trimmed = lines.get(i).trim();
|
||||
if (trimmed.startsWith("#")) {
|
||||
start = i;
|
||||
continue;
|
||||
}
|
||||
break;
|
||||
}
|
||||
return start;
|
||||
}
|
||||
|
||||
private static int findValueEndLine(List<String> lines, int keyLineIndex, int keyIndent) {
|
||||
int end = keyLineIndex;
|
||||
for (int i = keyLineIndex + 1; i < lines.size(); i++) {
|
||||
String line = lines.get(i);
|
||||
KeyLine keyLine = parseKeyLine(line);
|
||||
if (keyLine != null && keyLine.indent <= keyIndent) {
|
||||
break;
|
||||
}
|
||||
|
||||
String trimmed = line.trim();
|
||||
if (!trimmed.isEmpty() && !trimmed.startsWith("#")) {
|
||||
end = i;
|
||||
}
|
||||
}
|
||||
return end;
|
||||
}
|
||||
|
||||
private static KeyLine parseKeyLine(String line) {
|
||||
if (line == null) {
|
||||
return null;
|
||||
}
|
||||
|
||||
String trimmed = line.trim();
|
||||
if (trimmed.isEmpty() || trimmed.startsWith("#") || trimmed.startsWith("-")) {
|
||||
return null;
|
||||
}
|
||||
|
||||
int colon = trimmed.indexOf(':');
|
||||
if (colon <= 0) {
|
||||
return null;
|
||||
}
|
||||
|
||||
String key = trimmed.substring(0, colon).trim();
|
||||
if (key.isEmpty()) {
|
||||
return null;
|
||||
}
|
||||
|
||||
int indent = 0;
|
||||
while (indent < line.length() && line.charAt(indent) == ' ') {
|
||||
indent++;
|
||||
}
|
||||
return new KeyLine(key, indent);
|
||||
}
|
||||
|
||||
public static final class UpdateResult {
|
||||
public final boolean updated;
|
||||
public final int insertedPaths;
|
||||
public final String backupFileName;
|
||||
|
||||
private UpdateResult(boolean updated, int insertedPaths, String backupFileName) {
|
||||
this.updated = updated;
|
||||
this.insertedPaths = insertedPaths;
|
||||
this.backupFileName = backupFileName;
|
||||
}
|
||||
|
||||
private static UpdateResult noChange() {
|
||||
return new UpdateResult(false, 0, "");
|
||||
}
|
||||
|
||||
private static UpdateResult updated(int insertedPaths, String backupFileName) {
|
||||
return new UpdateResult(true, insertedPaths, backupFileName);
|
||||
}
|
||||
}
|
||||
|
||||
private static final class DocumentModel {
|
||||
private final List<Entry> entriesInOrder;
|
||||
private final Map<String, Entry> entriesByPath;
|
||||
|
||||
private DocumentModel(List<Entry> entriesInOrder, Map<String, Entry> entriesByPath) {
|
||||
this.entriesInOrder = entriesInOrder;
|
||||
this.entriesByPath = entriesByPath;
|
||||
}
|
||||
}
|
||||
|
||||
private static final class Entry {
|
||||
private final String path;
|
||||
private final int indent;
|
||||
private final int line;
|
||||
private int startLine;
|
||||
private int endLine;
|
||||
|
||||
private Entry(String path, int indent, int line) {
|
||||
this.path = path;
|
||||
this.indent = indent;
|
||||
this.line = line;
|
||||
this.startLine = line;
|
||||
this.endLine = line;
|
||||
}
|
||||
}
|
||||
|
||||
private static final class KeyLine {
|
||||
private final String key;
|
||||
private final int indent;
|
||||
|
||||
private KeyLine(String key, int indent) {
|
||||
this.key = key;
|
||||
this.indent = indent;
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,43 +1,266 @@
|
||||
# OpenAI API key setting
|
||||
# ======================================================
|
||||
# Language Settings
|
||||
# 语言设置
|
||||
# ======================================================
|
||||
# Available languages: en, zh
|
||||
# 可用语言：en（英文）, zh（中文）
|
||||
# This only affects plugin prompts, not the model's answer language.
|
||||
# 该项仅影响插件提示语言，不影响模型回答语言。
|
||||
language: "en"
|
||||
|
||||
# ======================================================
|
||||
# API Configuration
|
||||
# API 设置
|
||||
# ======================================================
|
||||
api:
|
||||
# Your OpenAI API key, used for authentication
|
||||
# Your OpenAI API keys, used for authentication
|
||||
# To obtain an API key, visit https://platform.openai.com/account/api-keys and create a new API key
|
||||
key: "sk-your_openai_api_key"
|
||||
# 你的 OpenAI API key，用于身份验证
|
||||
# 获取 API key 的方法：访问 https://platform.openai.com/account/api-keys 并创建一个新的 API key
|
||||
# Placeholder keys such as sk-your_openai_api_key_1 are treated as invalid.
|
||||
# 占位 key（如 sk-your_openai_api_key_1）会被视为无效。
|
||||
keys:
|
||||
- "sk-your_openai_api_key_1"
|
||||
# You can add multiple API keys below
|
||||
# 可以添加多个API key
|
||||
# - "sk-your_openai_api_key_2"
|
||||
# - "sk-your_openai_api_key_3"
|
||||
|
||||
# API key selection method: "round_robin" or "random"
|
||||
# Round Robin: Use each API key in turn
|
||||
# Random: Randomly select an API key
|
||||
# API key 选择方法："round_robin"（轮询）或 "random"（随机）
|
||||
# 轮询：依次使用每个API key
|
||||
# 随机：随机选择一个API key
|
||||
# Use round_robin for steadier distribution in production.
|
||||
# 生产环境更推荐 round_robin，分配更均匀。
|
||||
selection_method: "round_robin"
|
||||
|
||||
# The base URL for the OpenAI API, used to construct requests
|
||||
# If you cannot access the official API, you can use a proxy service
|
||||
# OpenAI API 的基础 URL，用于构建请求
|
||||
# 如果你无法访问官方API，可以使用代理服务
|
||||
# Keep the /v1 path in the URL.
|
||||
# URL 保留 /v1 路径。
|
||||
base_url: "https://api.openai.com/v1"
|
||||
|
||||
# HTTP timeouts (milliseconds)
|
||||
# HTTP 超时（毫秒）
|
||||
# connect_timeout_ms controls connection phase, timeout_ms controls total request time.
|
||||
# connect_timeout_ms 控制建连阶段，timeout_ms 控制整次请求耗时。
|
||||
# Increase carefully on unstable networks to avoid slow failure feedback.
|
||||
# 网络不稳定时可适当调大，但过大可能导致失败反馈变慢。
|
||||
connect_timeout_ms: 10000
|
||||
timeout_ms: 30000
|
||||
|
||||
# Thread pool size for API requests
|
||||
# API 请求线程池大小
|
||||
# Higher value increases concurrency but also upstream pressure.
|
||||
# 值越大并发越高，但也会增加上游 API 压力。
|
||||
# Tune together with queue.max_in_flight.
|
||||
# 建议与 queue.max_in_flight 配合调优。
|
||||
thread_pool_size: 4
|
||||
|
||||
# ======================================================
|
||||
# Model Configuration
|
||||
# 模型设置
|
||||
# ======================================================
|
||||
# List of supported models
|
||||
# 支持的模型列表
|
||||
# This is a selectable whitelist; actual availability depends on your provider.
|
||||
# 这里只是可选白名单，具体是否可用取决于服务商支持情况。
|
||||
models:
|
||||
# OpenAI ChatGPT
|
||||
- "gpt-3.5-turbo"
|
||||
- "gpt-3.5-turbo-instruct"
|
||||
- "gpt-4"
|
||||
- "gpt-4-turbo"
|
||||
- "gpt-4-turbo-preview"
|
||||
- "gpt-4o"
|
||||
# Google Gemini
|
||||
# - "gemini-pro"
|
||||
# - "gemini-1.5-pro"
|
||||
- "gpt-4o-mini"
|
||||
# Anthropic Claude
|
||||
# - "claude-3-opus"
|
||||
# - "claude-3-5-sonnet"
|
||||
# Deepseek
|
||||
# - "deepseek-coder"
|
||||
# - "deepseek-reasoner"
|
||||
# And more...
|
||||
# 以及更多...
|
||||
|
||||
# The default model to use
|
||||
default_model: "gpt-3.5-turbo"
|
||||
# Message settings
|
||||
messages:
|
||||
reload: "&aConfiguration reloaded successfully!"
|
||||
help: "&e===== MineChatGPT Help ====="
|
||||
help_ask: "&e/chatgpt <text> - Ask ChatGPT a question."
|
||||
help_reload: "&e/chatgpt reload - Reload the configuration file."
|
||||
help_model: "&e/chatgpt model <model_name> - Switch to a different model."
|
||||
help_modellist: "&e/chatgpt modellist - List available models."
|
||||
current_model_info: "&eCurrent model: %s. Use /chatgpt model <model_name> to switch models."
|
||||
model_switch: "&aModel switched to %s"
|
||||
chatgpt_error: "&cFailed to contact ChatGPT."
|
||||
chatgpt_response: "&bChatGPT: %s"
|
||||
question: "&bYou: %s"
|
||||
invalid_model: "&cInvalid model. Use /chatgpt modellist to see available models."
|
||||
available_models: "&eAvailable models:"
|
||||
no_permission: "&cYou do not have permission to use this command. Required permission: %s"
|
||||
# DO NOT EDIT!!!!!
|
||||
version: 2.2
|
||||
# 默认使用的模型
|
||||
# Use a cost-effective model as default for daily usage.
|
||||
# 日常建议选择更稳定且成本更低的模型作为默认模型。
|
||||
default_model: "gpt-4o-mini"
|
||||
|
||||
# ======================================================
|
||||
# Conversation Settings
|
||||
# 对话设置
|
||||
# ======================================================
|
||||
conversation:
|
||||
# Continuous conversation switch
|
||||
# When enabled, the plugin will remember the conversation history
|
||||
# 连续对话开关
|
||||
# 启用时，插件将记住对话历史
|
||||
# Enabling improves continuity but increases token usage.
|
||||
# 开启后连贯性更好，但 token 消耗会增加。
|
||||
context_enabled: false
|
||||
|
||||
# Maximum number of historical records retained
|
||||
# Increasing this value will consume more memory
|
||||
# 最大历史记录保留数量
|
||||
# 增加此值将消耗更多内存
|
||||
# Usually 8~20 is a practical range.
|
||||
# 通常 8~20 是较实用的范围。
|
||||
max_history_size: 10
|
||||
|
||||
# Token budget for context (approximate)
|
||||
# 上下文 token 预算（近似）
|
||||
# Exceeding this budget may trigger trimming or summarization.
|
||||
# 超过预算会触发上下文裁剪或总结。
|
||||
max_context_tokens: 2000
|
||||
|
||||
# Reserve tokens for the model output (approximate)
|
||||
# 为模型输出预留 token（近似）
|
||||
# Too low may truncate replies; too high reduces usable context.
|
||||
# 值太小可能截断回复，值太大则压缩可用上下文。
|
||||
reserve_completion_tokens: 400
|
||||
|
||||
# Automatic summarization to keep context within budget
|
||||
# 自动总结以控制上下文长度
|
||||
summarization:
|
||||
# If disabled, long sessions are more likely to hit context limits.
|
||||
# 关闭后长会话更容易触发上下文超限。
|
||||
enabled: true
|
||||
# Model used for summarization
|
||||
# 用于总结的模型
|
||||
# Prefer a faster/cheaper model for summarization.
|
||||
# 建议用更快/更便宜的模型做总结。
|
||||
model: "gpt-4o-mini"
|
||||
# When estimated context tokens exceed this value, summarization may run
|
||||
# 当估算的上下文 tokens 超过该值时可能触发总结
|
||||
# Usually set slightly lower than max_context_tokens (e.g. 100~300 lower).
|
||||
# 通常设为略低于 max_context_tokens（如低 100~300）。
|
||||
trigger_tokens: 1800
|
||||
# Keep the last N messages (user/assistant) after summarization
|
||||
# 总结后保留最近 N 条消息（user/assistant）
|
||||
# Higher value keeps more detail but uses more tokens.
|
||||
# 值越大保留细节越多，但占用也更高。
|
||||
keep_last_messages: 6
|
||||
|
||||
# ======================================================
|
||||
# Rate Limit / Queue Settings
|
||||
# 限流 / 排队 设置
|
||||
# ======================================================
|
||||
rate_limit:
|
||||
# Master switch for cooldown/token-bucket limiting.
|
||||
# 冷却与令牌桶限流总开关。
|
||||
enabled: true
|
||||
# Mode: "requests" | "tokens" | "both"
|
||||
# 模式："requests" | "tokens" | "both"
|
||||
# requests = limit by request count
|
||||
# tokens = limit by token budget
|
||||
# both = enforce both limits (recommended)
|
||||
# requests = 仅按请求次数
|
||||
# tokens = 仅按 token 预算
|
||||
# both = 两者同时生效（推荐）
|
||||
mode: "both"
|
||||
|
||||
# Cooldown per user after accepting a request (milliseconds)
|
||||
# 每个用户请求冷却（毫秒）
|
||||
# Helps reduce short burst command spam from one player.
|
||||
# 用于抑制单玩家短时间刷命令。
|
||||
cooldown_ms: 1000
|
||||
|
||||
# Token estimation method: "approx_chars"
|
||||
# token 估算方法："approx_chars"
|
||||
# This estimator is approximate by design.
|
||||
# 该估算器是近似估算。
|
||||
token_estimator: "approx_chars"
|
||||
|
||||
# If token-mode is enabled, assume this many completion tokens per request for limiting
|
||||
# 如果启用 token 限流，按该值假设每次回复的 completion tokens（用于限流）
|
||||
# Increase this if users often ask for long outputs.
|
||||
# 用户经常要求长回复时可适当提高该值。
|
||||
assumed_completion_tokens: 300
|
||||
|
||||
per_user:
|
||||
# Per-user request refill rate (requests/min).
|
||||
# 单用户请求额度恢复速率（每分钟）。
|
||||
requests_per_minute: 6
|
||||
# Per-user request burst capacity.
|
||||
# 单用户请求突发容量。
|
||||
burst_requests: 3
|
||||
# Per-user token refill rate (tokens/min).
|
||||
# 单用户 token 额度恢复速率（每分钟）。
|
||||
tokens_per_minute: 4000
|
||||
# Per-user token burst capacity.
|
||||
# 单用户 token 突发容量。
|
||||
burst_tokens: 2000
|
||||
|
||||
global:
|
||||
# Global request refill rate (requests/min).
|
||||
# 全局请求额度恢复速率（每分钟）。
|
||||
requests_per_minute: 60
|
||||
# Global request burst capacity.
|
||||
# 全局请求突发容量。
|
||||
burst_requests: 20
|
||||
# Global token refill rate (tokens/min).
|
||||
# 全局 token 额度恢复速率（每分钟）。
|
||||
tokens_per_minute: 100000
|
||||
# Global token burst capacity.
|
||||
# 全局 token 突发容量。
|
||||
burst_tokens: 20000
|
||||
|
||||
queue:
|
||||
# If enabled, requests can wait in queue instead of immediate rejection.
|
||||
# 开启后，请求可进入队列等待，而不是直接拒绝。
|
||||
enabled: true
|
||||
# Maximum queued jobs globally
|
||||
# 全局队列最大长度
|
||||
# New jobs are rejected after this limit.
|
||||
# 达到上限后新请求会被拒绝。
|
||||
max_size: 100
|
||||
# Maximum queued jobs per user
|
||||
# 每个用户队列最大长度
|
||||
# Prevent one player from occupying all queue slots.
|
||||
# 防止单玩家占满队列。
|
||||
max_per_user: 3
|
||||
# Maximum in-flight (concurrent) API requests
|
||||
# 同时进行中的 API 请求上限
|
||||
# Usually set <= api.thread_pool_size.
|
||||
# 通常建议不高于 api.thread_pool_size。
|
||||
max_in_flight: 4
|
||||
# How many jobs to dispatch per tick (Spigot main thread)
|
||||
# 每 tick 尝试派发多少个任务（主线程）
|
||||
# Higher value drains queue faster but increases main-thread scheduling pressure.
|
||||
# 值越大清队越快，但主线程调度压力更高。
|
||||
dispatch_per_tick: 2
|
||||
|
||||
# ======================================================
|
||||
# Character Settings
|
||||
# 角色设置
|
||||
# ======================================================
|
||||
characters:
|
||||
# Format:
|
||||
# Character Name: "Character Prompt"
|
||||
# The prompt will be sent to the AI as a system message
|
||||
# 格式：
|
||||
# 角色名称: "角色提示词"
|
||||
# 提示词将作为系统消息发送给AI
|
||||
# Keep prompts clear and concise to avoid unnecessary token overhead.
|
||||
# 建议提示词简洁明确，避免无谓 token 开销。
|
||||
|
||||
# Default character
|
||||
ChatGPT: "You are a helpful assistant."
|
||||
|
||||
# You can add more characters below
|
||||
# 你可以在下方添加更多角色
|
||||
# Example:
|
||||
# Minecraft: "You are a Minecraft expert who helps players with game mechanics and building ideas."
|
||||
|
||||
# ======================================================
|
||||
# Other Settings
|
||||
# 其他设置
|
||||
# ======================================================
|
||||
# If you don't know what this is, don't change it
|
||||
# 如果你不知道这是什么，请不要动
|
||||
debug: false
|
||||
@@ -1,43 +0,0 @@
|
||||
# API 相关设置
|
||||
api:
|
||||
# 你的 OpenAI API key，用于身份验证
|
||||
# 获取 API key 的方法：访问 https://platform.openai.com/account/api-keys 并创建一个新的 API key
|
||||
key: "sk-your_openai_api_key"
|
||||
# OpenAI API 的基础 URL，用于构建请求
|
||||
base_url: "https://api.openai.com/v1"
|
||||
# 支持的模型列表
|
||||
models:
|
||||
# OpenAI ChatGPT
|
||||
- "gpt-3.5-turbo"
|
||||
- "gpt-3.5-turbo-instruct"
|
||||
- "gpt-4"
|
||||
- "gpt-4-turbo"
|
||||
- "gpt-4-turbo-preview"
|
||||
- "gpt-4o"
|
||||
# Google Gemini
|
||||
# - "gemini-pro"
|
||||
# - "gemini-1.5-pro"
|
||||
# Anthropic Claude
|
||||
# - "claude-3-opus"
|
||||
# - "claude-3-5-sonnet"
|
||||
# 以及更多...
|
||||
# 默认使用的模型
|
||||
default_model: "gpt-3.5-turbo"
|
||||
# 消息相关设置
|
||||
messages:
|
||||
reload: "&a已重新加载配置文件！"
|
||||
help: "&e===== MineChatGPT 帮助 ====="
|
||||
help_ask: "&e/chatgpt <text> - 向ChatGPT提问"
|
||||
help_reload: "&e/chatgpt reload - 重新加载配置文件"
|
||||
help_model: "&e/chatgpt model <model_name> - 切换至其他模型"
|
||||
help_modellist: "&e/chatgpt modellist - 可用的模型列表"
|
||||
current_model_info: "&e当前模型：%s，输入 /chatgpt model <model_name> 来切换模型。"
|
||||
model_switch: "&a已切换至模型 %s"
|
||||
chatgpt_error: "&c无法联系ChatGPT。"
|
||||
chatgpt_response: "&bChatGPT: %s"
|
||||
question: "&b你: %s"
|
||||
invalid_model: "&c模型无效。使用 /chatgpt modellist 查看可用模型。"
|
||||
available_models: "&e可用模型列表："
|
||||
no_permission: "&c你没有权限使用这个指令。需要的权限：%s"
|
||||
# 不要动！！！！！
|
||||
version: 2.2
|
||||
38
src/main/resources/lang/en.yml
Normal file
38
src/main/resources/lang/en.yml
Normal file
@@ -0,0 +1,38 @@
|
||||
# English language file for MineChatGPT
|
||||
|
||||
messages:
|
||||
reload: "&aConfiguration reloaded successfully!"
|
||||
clear: "&aConversation history has been cleared!"
|
||||
help: "&e===== MineChatGPT Help ====="
|
||||
help_ask: "&e/chatgpt <text> - Ask ChatGPT a question."
|
||||
help_reload: "&e/chatgpt reload - Reload the configuration file."
|
||||
help_model: "&e/chatgpt model <model_name> - Switch to a different model."
|
||||
help_modellist: "&e/chatgpt modellist - List available models."
|
||||
help_context: "&e/chatgpt context - Toggle context mode."
|
||||
help_clear: "&e/chatgpt clear - Clear conversation history."
|
||||
help_character: "&e/chatgpt character [character_name] - List or switch to a character."
|
||||
help_stats: "&e/chatgpt stats - Show token usage statistics."
|
||||
context_toggle: "&eContext is now %s."
|
||||
context_toggle_enabled: "&aenabled"
|
||||
context_toggle_disabled: "&cdisabled"
|
||||
current_model_info: "&eCurrent model: %s. Use /chatgpt model <model_name> to switch models."
|
||||
model_switch: "&aModel switched to %s"
|
||||
chatgpt_error: "&cFailed to contact ChatGPT."
|
||||
no_api_key: "&cNo API key configured. Please set api.keys in config.yml."
|
||||
chatgpt_response: "&b%s: %s"
|
||||
question: "&bYou: %s"
|
||||
queued: "&eYour request has been queued. Position: %s"
|
||||
queue_full: "&cQueue is full. Please try again later."
|
||||
queue_full_user: "&cYou have too many pending requests. Please wait."
|
||||
cooldown: "&cYou're sending requests too fast. Please wait %s ms."
|
||||
rate_limited: "&cRate limited. Please try again later."
|
||||
stats_header: "&e===== MineChatGPT Stats ====="
|
||||
stats_global: "&eGlobal tokens: %s (prompt=%s, completion=%s), requests=%s"
|
||||
stats_user: "&eYour tokens: %s (prompt=%s, completion=%s), requests=%s"
|
||||
stats_reset: "&aStats reset."
|
||||
character_switched: "&aSwitched to character: %s"
|
||||
available_characters: "&eAvailable characters:"
|
||||
invalid_character: "&cInvalid character. Use /chatgpt character to list available characters."
|
||||
invalid_model: "&cInvalid model. Use /chatgpt modellist to see available models."
|
||||
available_models: "&eAvailable models:"
|
||||
no_permission: "&cYou do not have permission to use this command. Required permission: %s"
|
||||
38
src/main/resources/lang/zh.yml
Normal file
38
src/main/resources/lang/zh.yml
Normal file
@@ -0,0 +1,38 @@
|
||||
# 中文语言文件 - MineChatGPT
|
||||
|
||||
messages:
|
||||
reload: "&a已重新加载配置文件！"
|
||||
clear: "&a对话历史已清空！"
|
||||
help: "&e===== MineChatGPT 帮助 ====="
|
||||
help_ask: "&e/chatgpt <text> - 向ChatGPT提问"
|
||||
help_reload: "&e/chatgpt reload - 重新加载配置文件"
|
||||
help_model: "&e/chatgpt model <model_name> - 切换至其他模型"
|
||||
help_modellist: "&e/chatgpt modellist - 可用的模型列表"
|
||||
help_context: "&e/chatgpt context - 切换连续对话模式"
|
||||
help_clear: "&e/chatgpt clear - 清空对话历史"
|
||||
help_character: "&e/chatgpt character [character_name] - 列出或切换角色"
|
||||
help_stats: "&e/chatgpt stats - 查看 token 消耗统计"
|
||||
context_toggle: "&e连续对话模式已%s。"
|
||||
context_toggle_enabled: "&a开启"
|
||||
context_toggle_disabled: "&c关闭"
|
||||
current_model_info: "&e当前模型：%s，输入 /chatgpt model <model_name> 来切换模型。"
|
||||
model_switch: "&a已切换至模型 %s"
|
||||
chatgpt_error: "&c无法联系ChatGPT。"
|
||||
no_api_key: "&c未配置 API Key，请在 config.yml 的 api.keys 中设置。"
|
||||
chatgpt_response: "&b%s: %s"
|
||||
question: "&b你: %s"
|
||||
queued: "&e你的请求已进入队列，当前位置：%s"
|
||||
queue_full: "&c队列已满，请稍后再试。"
|
||||
queue_full_user: "&c你有太多等待中的请求，请先等待。"
|
||||
cooldown: "&c请求过快，请等待 %s 毫秒。"
|
||||
rate_limited: "&c触发限流，请稍后再试。"
|
||||
stats_header: "&e===== MineChatGPT 统计 ====="
|
||||
stats_global: "&e全局 tokens：%s（prompt=%s，completion=%s），请求数=%s"
|
||||
stats_user: "&e你的 tokens：%s（prompt=%s，completion=%s），请求数=%s"
|
||||
stats_reset: "&a统计已重置。"
|
||||
character_switched: "&a已切换至角色： %s"
|
||||
available_characters: "&e可用的角色列表："
|
||||
invalid_character: "&c无效的角色。使用 /chatgpt character 查看所有可用的角色。"
|
||||
invalid_model: "&c模型无效。使用 /chatgpt modellist 查看可用模型。"
|
||||
available_models: "&e可用模型列表："
|
||||
no_permission: "&c你没有权限使用这个指令。需要的权限：%s"
|
||||
@@ -2,6 +2,7 @@ name: MineChatGPT
|
||||
version: '${version}'
|
||||
main: com.ddaodan.MineChatGPT.Main
|
||||
author: ddaodan
|
||||
folia-supported: true
|
||||
description: A Spigot plugin for interacting with ChatGPT
|
||||
|
||||
commands:
|
||||
@@ -21,3 +22,15 @@ permissions:
|
||||
minechatgpt.modellist:
|
||||
description: Allows listing available models
|
||||
default: op
|
||||
minechatgpt.context:
|
||||
description: Allows toggling context mode
|
||||
default: true
|
||||
minechatgpt.clear:
|
||||
description: Allows clearing conversation history
|
||||
default: true
|
||||
minechatgpt.character:
|
||||
description: Allows switching characters
|
||||
default: true
|
||||
minechatgpt.stats:
|
||||
description: Allows viewing/resetting usage statistics
|
||||
default: op
|
||||
|
||||
Reference in New Issue
Block a user