Compare commits

...

25 Commits

Author SHA1 Message Date
751297e3bc Merge branch 'master' into feature/doubao-watermark 2025-11-07 21:17:09 +08:00
b450998f3f 让豆包水印使用相对大小 2025-11-07 21:15:19 +08:00
ae6297b98d Merge pull request '添加豆包水印' (#46) from feature/doubao-watermark into master
All checks were successful
continuous-integration/drone/push Build is passing
continuous-integration/drone/tag Build is passing
Reviewed-on: #46
2025-11-07 19:18:41 +08:00
dacae29054 添加豆包水印 2025-11-07 19:18:24 +08:00
8acb546c6a Merge pull request '让浏览器等久一点' (#42) from feature/konaweb into master
All checks were successful
continuous-integration/drone/push Build is passing
Reviewed-on: #42
2025-11-07 02:41:49 +08:00
49e0914416 让浏览器等久一点 2025-11-07 02:41:33 +08:00
5b74c78ec3 Merge pull request '更新 web_render 模块并支持前端渲染' (#41) from feature/konaweb into master
All checks were successful
continuous-integration/drone/push Build is passing
continuous-integration/drone/tag Build is passing
Reviewed-on: #41
2025-11-07 02:31:06 +08:00
c911410276 更新 web_render 模块并支持前端渲染 2025-11-07 02:30:46 +08:00
37ca4bf11f Merge pull request '西多说 by 姬嵇' (#40) from feature/memepack/kiosay into master
All checks were successful
continuous-integration/drone/push Build is passing
Reviewed-on: #40
2025-11-06 23:35:48 +08:00
8ef084c22a 西多说 by 姬嵇 2025-11-06 23:35:20 +08:00
57f0cd728f Merge pull request '使用 Discord Proxy 选项来下载图片' (#39) from bugfix/discord-image-download into master
All checks were successful
continuous-integration/drone/push Build is passing
Reviewed-on: #39
2025-11-06 00:12:32 +08:00
627a29f57e 使用 Discord Proxy 选项来下载图片 2025-11-06 00:12:08 +08:00
650c500f47 Merge pull request '监听更广泛的 Discord 消息' (#38) from bugfix/discord-image-download into master
All checks were successful
continuous-integration/drone/push Build is passing
Reviewed-on: #38
2025-11-06 00:06:49 +08:00
86acbe51e9 Merge remote-tracking branch 'origin/master' into bugfix/discord-image-download 2025-11-06 00:05:20 +08:00
4900a7e0ad Merge branch 'bugfix/discord-image-download' of ssh://gitea.service.jazzwhom.top:2221/mttu-developers/konabot into bugfix/discord-image-download 2025-11-06 00:05:08 +08:00
34da08126b 监听更广泛的 event 2025-11-06 00:04:57 +08:00
00f416c8bc Merge pull request '改为使用 proxy url' (#37) from bugfix/discord-image-download into master
All checks were successful
continuous-integration/drone/push Build is passing
Reviewed-on: #37
2025-11-05 23:59:54 +08:00
9c7d0a4486 Merge branch 'master' into bugfix/discord-image-download 2025-11-05 23:59:43 +08:00
e3b9d6723f 改为使用 proxy url 2025-11-05 23:58:55 +08:00
ef80399a90 Merge pull request '尝试解决 Discord 无法读取图片的问题' (#30) from bugfix/discord-image-download into master
All checks were successful
continuous-integration/drone/push Build is passing
continuous-integration/drone/tag Build is passing
Reviewed-on: #30
2025-11-05 23:17:25 +08:00
bfbfa9d9be 尝试解决这个问题 2025-11-05 23:15:30 +08:00
6b7be4d3b0 Merge pull request '添加基础的 LLM 支持' (#29) from feature/LLM-base into master
Reviewed-on: #29
2025-11-05 20:40:40 +08:00
7c19c52d9f 添加关于 LLM 配置的文档 2025-11-05 20:36:51 +08:00
a5f4ae9bdc 添加基础的 LLM 支持 2025-11-05 18:40:13 +08:00
9320815d3f 修复无法更改图片的问题
All checks were successful
continuous-integration/drone/push Build is passing
continuous-integration/drone/tag Build is passing
2025-11-01 20:59:58 +08:00
20 changed files with 932 additions and 214 deletions

View File

@ -1,4 +1,4 @@
# 此方 bot
# konabot
在 MTTU 内部使用的 bot 一只。
@ -63,6 +63,14 @@ code .
配置 `ENABLE_CONSOLE=false`
#### 配置并支持 LLM大语言模型
详见[LLM 配置文档](/docs/LLM.md)。
#### 配置 konabot-web 以支持更高级的图片渲染
详见[konabot-web 配置文档](/docs/konabot-web.md)
### 运行
使用命令行手动启动 Bot

BIN
assets/img/meme/doubao.png Executable file

Binary file not shown.

After

Width:  |  Height:  |  Size: 8.0 KiB

BIN
assets/img/meme/kiosay.jpg Executable file

Binary file not shown.

After

Width:  |  Height:  |  Size: 71 KiB

65
docs/LLM.md Normal file
View File

@ -0,0 +1,65 @@
# 大语言模型平台接入
为实现更多神秘小功能,此方 Bot 需要接入 AI。如果你需要参与开发或测试涉及 AI 的相关功能,麻烦请根据下面的文档继续操作。
## 配置项目接入 AI
AI 相关的配置文件在 `data/config/llm.json` 文件中。示例格式如下,这也将是到时候在云端的配置文件格式(给出的模型都会有):
```json
{
"llms": {
"Qwen2.5-7B-Instruct": {
"base_url": "https://api.siliconflow.cn/v1",
"api_key": "sk-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",
"model_name": "Qwen/Qwen2.5-7B-Instruct"
},
"qwen3-max": {
"base_url": "https://dashscope.aliyuncs.com/compatible-mode/v1",
"api_key": "sk-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",
"model_name": "qwen3-max"
}
},
"default_llm": "Qwen2.5-7B-Instruct"
}
```
其中,形如 `qwen3-max` 的名称,是你在程序中调用 LLM 使用的键名。若不给出,则会默认使用配置文件中指定的默认模型。
```python
from konabot.common.llm import get_llm
llm = get_llm() # 获得的是 Qwen2.5-7B-Instruct 模型
llm = get_llm("qwen3-max") # 获得的是 qwen3-max 模型
message = await llm.chat([
{ "role": "system", "content": "你是一只猫娘" },
{ "role": "user", "content": "晚上好呀!" },
], timeout=None, max_tokens=16384)
# 获得了的是 openai.types.chat.ChatCompletionMessage 对象
print(f"AI 返回值:{message.content}") # 注意 content 可能为 None需要做空值检测
client = llm.get_openai_client() # 获得的是一个 OpenAI Client 对象,可以做更多操作
# 例如,调用 Embedding 模型来做知识库向量化等工作
```
## 本项目使用的模型清单
为了便利大家使用,我在这里给出该项目将会使用的模型清单,请根据你的开发需求注册并选择你最喜欢的模型。如果需要接入新的模型,或者使用到文档之外的模型,欢迎在这里给出!
### 硅基流动 Qwen/Qwen2.5-7B-Instruct
一个 7B 大小的 AI 模型。其性能不太能指望,但是它小,而且比较快,可以做一些轻量的操作。
该模型是免费的,但是也需要你注册[硅基流动](https://cloud.siliconflow.cn/me/models)账号,并生成 `api_key` 添加到配置文件中。
### 通义千问 qwen3-max
贵但是很先进的最新模型,其能力可以信赖。但是不要拿它做大量工作哦!
在[百炼大模型平台](https://bailian.console.aliyun.com/)注册账号并申请 `api_key`,新用户会赠送 1M tokens足够做测试了。
## 安全须知
请注意提防 AI 越狱等情况。

18
docs/konabot-web.md Normal file
View File

@ -0,0 +1,18 @@
# konabot-web 配置文档
本文档教你配置一个此方 Bot 的 Web 服务器。
## 安装并运行 konabot-web
按照 [konabot-web README](https://gitea.service.jazzwhom.top/mttu-developers/konabot-web) 安装并运行 konabot-web 实例。
## 指定 konabot-web 实例地址
如果你的 Web 服务器的端口不是 5173或者你有特殊的网络结构你需要手动设置 konabot-web。编辑 `.env` 文件:
```
MODULE_WEB_RENDER_WEBURL=http://web-server:port
MODULE_WEB_RENDER_INSTANCE=http://konabot-server:port
```
替换 web-server 为你的前端服务器地址konabot-server 为后端服务器地址port 为端口号。

View File

@ -0,0 +1,64 @@
from typing import Any
import openai
from loguru import logger
from openai.types.chat import ChatCompletion, ChatCompletionMessage, ChatCompletionMessageParam
from pydantic import BaseModel, Field
from konabot.common.path import CONFIG_PATH
LLM_CONFIG_PATH = CONFIG_PATH / 'llm.json'
if not LLM_CONFIG_PATH.exists():
LLM_CONFIG_PATH.write_text("{}")
class LLMInfo(BaseModel):
base_url: str
api_key: str
model_name: str
def get_openai_client(self):
return openai.AsyncClient(
api_key=self.api_key,
base_url=self.base_url,
)
async def chat(
self,
messages: list[ChatCompletionMessageParam],
timeout: float | None = 30.0,
max_tokens: int | None = None,
**kwargs: Any,
) -> ChatCompletionMessage:
logger.info(f"调用 LLM: BASE_URL={self.base_url} MODEL_NAME={self.model_name}")
completion: ChatCompletion = await self.get_openai_client().chat.completions.create(
messages=messages,
model=self.model_name,
max_tokens=max_tokens,
timeout=timeout,
stream=False,
**kwargs,
)
choice = completion.choices[0]
logger.info(
f"调用 LLM 完成: BASE_URL={self.base_url} MODEL_NAME={self.model_name} REASON={choice.finish_reason}"
)
return choice.message
class LLMConfig(BaseModel):
llms: dict[str, LLMInfo] = Field(default_factory=dict)
default_llm: str = "Qwen2.5-7B-Instruct"
llm_config = LLMConfig.model_validate_json(LLM_CONFIG_PATH.read_text())
def get_llm(llm_model: str | None = None):
if llm_model is None:
llm_model = llm_config.default_llm
if llm_model not in llm_config.llms:
raise NotImplementedError("LLM 未配置,该功能无法使用")
return llm_config.llms[llm_model]

View File

@ -8,20 +8,38 @@ import nonebot
from nonebot.matcher import Matcher
from nonebot.adapters import Bot, Event, Message
from nonebot.adapters.discord import Bot as DiscordBot
from nonebot.adapters.discord import MessageEvent as DiscordMessageEvent
from nonebot.adapters.discord.config import Config as DiscordConfig
from nonebot.adapters.onebot.v11 import Bot as OnebotV11Bot
from nonebot.adapters.onebot.v11 import Message as OnebotV11Message
from nonebot.adapters.onebot.v11 import MessageEvent as OnebotV11MessageEvent
import nonebot.params
from nonebot_plugin_alconna import Image, RefNode, Reply, UniMessage
from PIL import UnidentifiedImageError
from pydantic import BaseModel
from returns.result import Failure, Result, Success
from konabot.common.path import ASSETS_PATH
async def download_image_bytes(url: str) -> Result[bytes, str]:
discordConfig = nonebot.get_plugin_config(DiscordConfig)
class ExtractImageConfig(BaseModel):
module_extract_image_no_download: bool = False
"要不要算了,不下载了,直接爆炸算了,适用于一些比较奇怪的网络环境,无法从协议端下载文件"
module_config = nonebot.get_plugin_config(ExtractImageConfig)
async def download_image_bytes(url: str, proxy: str | None = None) -> Result[bytes, str]:
# if "/matcha/cache/" in url:
# url = url.replace('127.0.0.1', '10.126.126.101')
if module_config.module_extract_image_no_download:
return Success((ASSETS_PATH / "img" / "other" / "boom.jpg").read_bytes())
logger.debug(f"开始从 {url} 下载图片")
async with httpx.AsyncClient() as c:
async with httpx.AsyncClient(proxy=proxy) as c:
try:
response = await c.get(url)
except (httpx.ConnectError, httpx.RemoteProtocolError) as e:
@ -121,6 +139,14 @@ async def extract_image_from_message(
logger.debug('获取图片的路径 Fallback 到 QQ 模块')
return await extract_image_from_qq_message(msg, evt, bot, allow_reply)
if isinstance(evt, DiscordMessageEvent):
logger.debug('获取图片的路径方式走 Discord')
for a in evt.attachments:
if "image/" not in a.content_type:
continue
url = a.proxy_url
return (await download_image_bytes(url, discordConfig.discord_proxy)).bind(bytes_to_pil)
for seg in UniMessage.of(msg, bot):
logger.info(seg)
if isinstance(seg, Image):

View File

@ -6,6 +6,7 @@ FONTS_PATH = ASSETS_PATH / "fonts"
SRC_PATH = Path(__file__).resolve().parent.parent
DATA_PATH = SRC_PATH.parent / "data"
LOG_PATH = DATA_PATH / "logs"
CONFIG_PATH = DATA_PATH / "config"
DOCS_PATH = SRC_PATH / "docs"
DOCS_PATH_MAN1 = DOCS_PATH / "user"
@ -19,3 +20,5 @@ if not DATA_PATH.exists():
if not LOG_PATH.exists():
LOG_PATH.mkdir()
CONFIG_PATH.mkdir(exist_ok=True)

View File

@ -0,0 +1,17 @@
import asyncio
import functools
from typing import Awaitable, Callable, ParamSpec, TypeVar
TA = ParamSpec("TA")
T = TypeVar("T")
def make_async(func: Callable[TA, T]) -> Callable[TA, Awaitable[T]]:
@functools.wraps(func, assigned=("__module__", "__name__", "__qualname__", "__doc__", "__annotations__"))
async def wrapper(*args: TA.args, **kwargs: TA.kwargs):
return await asyncio.to_thread(func, *args, **kwargs)
return wrapper

View File

@ -1,211 +1,9 @@
import asyncio
import queue
from typing import Any, Callable, Coroutine
from loguru import logger
from playwright.async_api import Page, Playwright, async_playwright, Browser, Page, BrowserContext
from .config import web_render_config
from .core import WebRenderer as WebRenderer
from .core import WebRendererInstance as WebRendererInstance
PageFunction = Callable[[Page], Coroutine[Any, Any, Any]]
class WebRenderer:
browser_pool: queue.Queue["WebRendererInstance"] = queue.Queue()
context_pool: dict[int, BrowserContext] = {} # 长期挂载的浏览器上下文池
page_pool: dict[str, Page] = {} # 长期挂载的页面池
@classmethod
async def get_browser_instance(cls) -> "WebRendererInstance":
if cls.browser_pool.empty():
instance = await WebRendererInstance.create()
cls.browser_pool.put(instance)
instance = cls.browser_pool.get()
cls.browser_pool.put(instance)
return instance
@classmethod
async def get_browser_context(cls) -> BrowserContext:
instance = await cls.get_browser_instance()
if id(instance) not in cls.context_pool:
context = await instance.browser.new_context()
cls.context_pool[id(instance)] = context
logger.debug(f"Created new persistent browser context for WebRendererInstance {id(instance)}")
return cls.context_pool[id(instance)]
@classmethod
async def render(
cls,
url: str,
target: str,
params: dict = {},
other_function: PageFunction | None = None,
timeout: int = 30,
) -> bytes:
'''
访问指定URL并返回截图
:param url: 目标URL
:param target: 渲染目标,如 ".box""#main" 等CSS选择器
:param timeout: 页面加载超时时间,单位秒
:param params: URL键值对参数
:param other_function: 其他自定义操作函数接受page参数
:return: 截图的字节数据
'''
instance = await cls.get_browser_instance()
logger.debug(f"Using WebRendererInstance {id(instance)} to render {url} targeting {target}")
return await instance.render(url, target, params=params, other_function=other_function, timeout=timeout)
@classmethod
async def render_persistent_page(cls, page_id: str, url: str, target: str, params: dict = {}, other_function: callable = None, timeout: int = 30) -> bytes:
'''
使用长期挂载的页面访问指定URL并返回截图
:param page_id: 页面唯一标识符
:param url: 目标URL
:param target: 渲染目标,如 ".box""#main" 等CSS选择器
:param timeout: 页面加载超时时间,单位秒
:param params: URL键值对参数
:param other_function: 其他自定义操作函数接受page参数
:return: 截图的字节数据
'''
logger.debug(f"Requesting persistent render for page_id {page_id} at {url} targeting {target} with timeout {timeout}")
instance = await cls.get_browser_instance()
if page_id not in cls.page_pool:
context = await cls.get_browser_context()
page = await context.new_page()
cls.page_pool[page_id] = page
logger.debug(f"Created new persistent page for page_id {page_id} using WebRendererInstance {id(instance)}")
page = cls.page_pool[page_id]
return await instance.render_with_page(page, url, target, params=params, other_function=other_function, timeout=timeout)
@classmethod
async def render_file(
cls,
file_path: str,
target: str,
params: dict = {},
other_function: PageFunction | None = None,
timeout: int = 30,
) -> bytes:
'''
访问指定本地文件URL并返回截图
:param file_path: 目标文件路径
:param target: 渲染目标,如 ".box""#main" 等CSS选择器
:param timeout: 页面加载超时时间,单位秒
:param params: URL键值对参数
:param other_function: 其他自定义操作函数接受page参数
:return: 截图的字节数据
'''
instance = await cls.get_browser_instance()
logger.debug(f"Using WebRendererInstance {id(instance)} to render file {file_path} targeting {target}")
return await instance.render_file(file_path, target, params=params, other_function=other_function, timeout=timeout)
@classmethod
async def close_persistent_page(cls, page_id: str) -> None:
'''
关闭并移除长期挂载的页面
:param page_id: 页面唯一标识符
'''
if page_id in cls.page_pool:
page = cls.page_pool[page_id]
await page.close()
del cls.page_pool[page_id]
logger.debug(f"Closed and removed persistent page for page_id {page_id}")
class WebRendererInstance:
def __init__(self):
self._playwright: Playwright | None = None
self._browser: Browser | None = None
self.lock = asyncio.Lock()
@property
def playwright(self) -> Playwright:
assert self._playwright is not None
return self._playwright
@property
def browser(self) -> Browser:
assert self._browser is not None
return self._browser
async def init(self):
self._playwright = await async_playwright().start()
self._browser = await self.playwright.chromium.launch(headless=True)
@classmethod
async def create(cls) -> "WebRendererInstance":
instance = cls()
await instance.init()
return instance
async def render(
self,
url: str,
target: str,
index: int = 0,
params: dict = {},
other_function: PageFunction | None = None,
timeout: int = 30
) -> bytes:
'''
访问指定URL并返回截图
:param url: 目标URL
:param target: 渲染目标,如 ".box""#main" 等CSS选择器
:param timeout: 页面加载超时时间,单位秒
:param index: 如果目标是一个列表,指定要截图的元素索引
:param params: URL键值对参数
:param other_function: 其他自定义操作函数接受page参数
:return: 截图的字节数据
'''
async with self.lock:
context = await self.browser.new_context()
page = await context.new_page()
screenshot = await self.inner_render(page, url, target, index, params, other_function, timeout)
await page.close()
await context.close()
return screenshot
async def render_with_page(self, page: Page, url: str, target: str, index: int = 0, params: dict = {}, other_function: callable = None, timeout: int = 30) -> bytes:
async with self.lock:
screenshot = await self.inner_render(page, url, target, index, params, other_function, timeout)
return screenshot
async def render_file(self, file_path: str, target: str, index: int = 0, params: dict = {}, other_function: callable = None, timeout: int = 30) -> bytes:
file_path = "file:///" + str(file_path).replace("\\", "/")
return await self.render(file_path, target, index, params, other_function, timeout)
async def inner_render(self, page: Page, url: str, target: str, index: int = 0, params: dict = {}, other_function: callable = None, timeout: int = 30) -> bytes:
logger.debug(f"Navigating to {url} with timeout {timeout}")
url_with_params = url + ("?" + "&".join(f"{k}={v}" for k, v in params.items()) if params else "")
await page.goto(url_with_params, timeout=timeout * 1000, wait_until="load")
logger.debug("Page loaded successfully")
# 等待目标元素出现
await page.wait_for_selector(target, timeout=timeout * 1000)
logger.debug(f"Target element '{target}' found, taking screenshot")
if other_function:
await other_function(page)
elements = await page.query_selector_all(target)
if not elements:
logger.error(f"Target element '{target}' not found on the page.")
return None
if index >= len(elements):
logger.error(f"Index {index} out of range for elements matching '{target}'")
return None
element = elements[index]
screenshot = await element.screenshot()
logger.debug(f"Screenshot taken successfully")
return screenshot
async def close(self):
await self.browser.close()
await self.playwright.stop()
def konaweb(sub_url: str):
sub_url = '/' + sub_url.removeprefix('/')
return web_render_config.module_web_render_weburl.removesuffix('/') + sub_url

View File

@ -0,0 +1,19 @@
import nonebot
from pydantic import BaseModel
class Config(BaseModel):
module_web_render_weburl: str = "localhost:5173"
module_web_render_instance: str = ""
def get_instance_baseurl(self):
if self.module_web_render_instance:
return self.module_web_render_instance.removesuffix('/')
config = nonebot.get_driver().config
ip = str(config.host)
if ip == "0.0.0.0":
ip = "127.0.0.1"
port = config.port
return f'http://{ip}:{port}'
web_render_config = nonebot.get_plugin_config(Config)

View File

@ -0,0 +1,281 @@
import asyncio
import queue
from typing import Any, Callable, Coroutine
from loguru import logger
from playwright.async_api import (
Page,
Playwright,
async_playwright,
Browser,
BrowserContext,
)
PageFunction = Callable[[Page], Coroutine[Any, Any, Any]]
class WebRenderer:
browser_pool: queue.Queue["WebRendererInstance"] = queue.Queue()
context_pool: dict[int, BrowserContext] = {} # 长期挂载的浏览器上下文池
page_pool: dict[str, Page] = {} # 长期挂载的页面池
@classmethod
async def get_browser_instance(cls) -> "WebRendererInstance":
if cls.browser_pool.empty():
instance = await WebRendererInstance.create()
cls.browser_pool.put(instance)
instance = cls.browser_pool.get()
cls.browser_pool.put(instance)
return instance
@classmethod
async def get_browser_context(cls) -> BrowserContext:
instance = await cls.get_browser_instance()
if id(instance) not in cls.context_pool:
context = await instance.browser.new_context()
cls.context_pool[id(instance)] = context
logger.debug(
f"Created new persistent browser context for WebRendererInstance {id(instance)}"
)
return cls.context_pool[id(instance)]
@classmethod
async def render(
cls,
url: str,
target: str,
params: dict = {},
other_function: PageFunction | None = None,
timeout: int = 30,
) -> bytes:
"""
访问指定URL并返回截图
:param url: 目标URL
:param target: 渲染目标,如 ".box""#main" 等CSS选择器
:param timeout: 页面加载超时时间,单位秒
:param params: URL键值对参数
:param other_function: 其他自定义操作函数接受page参数
:return: 截图的字节数据
"""
instance = await cls.get_browser_instance()
logger.debug(
f"Using WebRendererInstance {id(instance)} to render {url} targeting {target}"
)
return await instance.render(
url, target, params=params, other_function=other_function, timeout=timeout
)
@classmethod
async def render_persistent_page(
cls,
page_id: str,
url: str,
target: str,
params: dict = {},
other_function: PageFunction | None = None,
timeout: int = 30,
) -> bytes:
"""
使用长期挂载的页面访问指定URL并返回截图
:param page_id: 页面唯一标识符
:param url: 目标URL
:param target: 渲染目标,如 ".box""#main" 等CSS选择器
:param timeout: 页面加载超时时间,单位秒
:param params: URL键值对参数
:param other_function: 其他自定义操作函数接受page参数
:return: 截图的字节数据
"""
logger.debug(
f"Requesting persistent render for page_id {page_id} at {url} targeting {target} with timeout {timeout}"
)
instance = await cls.get_browser_instance()
if page_id not in cls.page_pool:
context = await cls.get_browser_context()
page = await context.new_page()
cls.page_pool[page_id] = page
logger.debug(
f"Created new persistent page for page_id {page_id} using WebRendererInstance {id(instance)}"
)
page = cls.page_pool[page_id]
return await instance.render_with_page(
page,
url,
target,
params=params,
other_function=other_function,
timeout=timeout,
)
@classmethod
async def render_file(
cls,
file_path: str,
target: str,
params: dict = {},
other_function: PageFunction | None = None,
timeout: int = 30,
) -> bytes:
"""
访问指定本地文件URL并返回截图
:param file_path: 目标文件路径
:param target: 渲染目标,如 ".box""#main" 等CSS选择器
:param timeout: 页面加载超时时间,单位秒
:param params: URL键值对参数
:param other_function: 其他自定义操作函数接受page参数
:return: 截图的字节数据
"""
instance = await cls.get_browser_instance()
logger.debug(
f"Using WebRendererInstance {id(instance)} to render file {file_path} targeting {target}"
)
return await instance.render_file(
file_path,
target,
params=params,
other_function=other_function,
timeout=timeout,
)
@classmethod
async def close_persistent_page(cls, page_id: str) -> None:
"""
关闭并移除长期挂载的页面
:param page_id: 页面唯一标识符
"""
if page_id in cls.page_pool:
page = cls.page_pool[page_id]
await page.close()
del cls.page_pool[page_id]
logger.debug(f"Closed and removed persistent page for page_id {page_id}")
class WebRendererInstance:
def __init__(self):
self._playwright: Playwright | None = None
self._browser: Browser | None = None
self.lock = asyncio.Lock()
@property
def playwright(self) -> Playwright:
assert self._playwright is not None
return self._playwright
@property
def browser(self) -> Browser:
assert self._browser is not None
return self._browser
async def init(self):
self._playwright = await async_playwright().start()
self._browser = await self.playwright.chromium.launch(headless=True)
@classmethod
async def create(cls) -> "WebRendererInstance":
instance = cls()
await instance.init()
return instance
async def render(
self,
url: str,
target: str,
index: int = 0,
params: dict = {},
other_function: PageFunction | None = None,
timeout: int = 30,
) -> bytes:
"""
访问指定URL并返回截图
:param url: 目标URL
:param target: 渲染目标,如 ".box""#main" 等CSS选择器
:param timeout: 页面加载超时时间,单位秒
:param index: 如果目标是一个列表,指定要截图的元素索引
:param params: URL键值对参数
:param other_function: 其他自定义操作函数接受page参数
:return: 截图的字节数据
"""
async with self.lock:
context = await self.browser.new_context()
page = await context.new_page()
screenshot = await self.inner_render(
page, url, target, index, params, other_function, timeout
)
await page.close()
await context.close()
return screenshot
async def render_with_page(
self,
page: Page,
url: str,
target: str,
index: int = 0,
params: dict = {},
other_function: PageFunction | None = None,
timeout: int = 30,
) -> bytes:
async with self.lock:
screenshot = await self.inner_render(
page, url, target, index, params, other_function, timeout
)
return screenshot
async def render_file(
self,
file_path: str,
target: str,
index: int = 0,
params: dict = {},
other_function: PageFunction | None = None,
timeout: int = 30,
) -> bytes:
file_path = "file:///" + str(file_path).replace("\\", "/")
return await self.render(
file_path, target, index, params, other_function, timeout
)
async def inner_render(
self,
page: Page,
url: str,
target: str,
index: int = 0,
params: dict = {},
other_function: PageFunction | None = None,
timeout: int = 30,
) -> bytes:
logger.debug(f"Navigating to {url} with timeout {timeout}")
url_with_params = url + (
"?" + "&".join(f"{k}={v}" for k, v in params.items()) if params else ""
)
await page.goto(url_with_params, timeout=timeout * 1000, wait_until="load")
logger.debug("Page loaded successfully")
# 等待目标元素出现
await page.wait_for_selector(target, timeout=timeout * 1000)
logger.debug(f"Target element '{target}' found, taking screenshot")
if other_function:
await other_function(page)
elements = await page.query_selector_all(target)
if not elements:
logger.warning(f"Target element '{target}' not found on the page.")
elements = await page.query_selector_all('body')
if index >= len(elements):
logger.warning(f"Index {index} out of range for elements matching '{target}'")
index = 0
element = elements[index]
screenshot = await element.screenshot()
logger.debug("Screenshot taken successfully")
return screenshot
async def close(self):
await self.browser.close()
await self.playwright.stop()

View File

@ -0,0 +1,66 @@
import asyncio
import tempfile
from contextlib import asynccontextmanager
from dataclasses import dataclass
from pathlib import Path
from typing import cast
from fastapi import HTTPException
from fastapi.responses import FileResponse
import nanoid
import nonebot
from nonebot.drivers.fastapi import Driver as FastAPIDriver
from .config import web_render_config
app = cast(FastAPIDriver, nonebot.get_driver()).asgi
hosted_tempdirs: dict[str, Path] = {}
hosted_tempdirs_lock = asyncio.Lock()
@dataclass
class TempDir:
path: Path
url_base: str
def url_of(self, file: Path):
assert file.is_relative_to(self.path)
relative_path = file.relative_to(self.path)
url_path_segment = str(relative_path).replace("\\", "/")
return f"{self.url_base}/{url_path_segment}"
@asynccontextmanager
async def host_tempdir():
with tempfile.TemporaryDirectory() as tempdir:
fp = Path(tempdir)
nid = nanoid.generate(size=10)
async with hosted_tempdirs_lock:
hosted_tempdirs[nid] = fp
yield TempDir(
path=fp,
url_base=f"{web_render_config.get_instance_baseurl()}/tempdir/{nid}",
)
async with hosted_tempdirs_lock:
del hosted_tempdirs[nid]
@app.get("/tempdir/{nid}/{file_path:path}")
async def _(nid: str, file_path: str):
async with hosted_tempdirs_lock:
base_path = hosted_tempdirs.get(nid)
if base_path is None:
raise HTTPException(404)
full_path = base_path / file_path
try:
if not full_path.resolve().is_relative_to(base_path.resolve()):
raise HTTPException(status_code=403, detail="Access denied.")
except Exception:
raise HTTPException(status_code=403, detail="Access denied.")
if not full_path.is_file():
raise HTTPException(status_code=404, detail="File not found.")
return FileResponse(full_path.resolve())

View File

@ -320,7 +320,7 @@ def create_admin_commands():
if image is not None and image.url is not None:
b = await download_image_bytes(image.url)
image_manager.remove_puzzle_image(p.img_name)
image_manager.upload_puzzle_image(b.unwrap())
p.img_name = image_manager.upload_puzzle_image(b.unwrap())
elif remove_image.available:
image_manager.remove_puzzle_image(p.img_name)

View File

@ -0,0 +1,40 @@
"""
肥肠危险注意:本文件仅用于开发环境测试 LLM 模块能否正常工作!
请不要在生产环境启用它!
"""
import nonebot
from nonebot_plugin_alconna import Alconna, Args, on_alconna
from pydantic import BaseModel
from konabot.common.llm import get_llm
from konabot.common.longtask import DepLongTaskTarget
class LLMTestConfig(BaseModel):
debug_enable_llm_test: bool = False
config = nonebot.get_plugin_config(LLMTestConfig)
if config.debug_enable_llm_test:
cmd = on_alconna(Alconna(
"debug-ask-llm",
Args["prompt", str],
))
@cmd.handle()
async def _(prompt: str, target: DepLongTaskTarget):
llm = get_llm()
msg = await llm.chat(
[
{"role": "user", "content": prompt}
],
timeout=None,
max_tokens=1024,
)
content = msg.content or ""
await target.send_message(content)

View File

@ -1,6 +1,7 @@
from io import BytesIO
from typing import Iterable, cast
from loguru import logger
from nonebot import on_message
from nonebot_plugin_alconna import (
Alconna,
@ -14,8 +15,12 @@ from nonebot_plugin_alconna import (
UniMsg,
on_alconna,
)
from playwright.async_api import ConsoleMessage, Page
from konabot.common.nb.extract_image import PIL_Image, extract_image_from_message
from konabot.common.web_render import konaweb
from konabot.common.web_render.core import WebRenderer
from konabot.common.web_render.host_images import host_tempdir
from konabot.plugins.memepack.drawing.display import (
draw_cao_display,
draw_snaur_display,
@ -24,10 +29,12 @@ from konabot.plugins.memepack.drawing.display import (
from konabot.plugins.memepack.drawing.saying import (
draw_cute_ten,
draw_geimao,
draw_kiosay,
draw_mnk,
draw_pt,
draw_suan,
)
from konabot.plugins.memepack.drawing.watermark import draw_doubao_watermark
from nonebot.adapters import Bot, Event
@ -275,3 +282,77 @@ async def _(msg: UniMsg, evt: Event, bot: Bot):
.export()
)
kiosay = on_alconna(
Alconna(
"西多说",
Args[
"saying",
MultiVar(str, "+"),
Field(missing_tips=lambda: "你没有写西多说了什么"),
],
),
use_cmd_start=True,
use_cmd_sep=False,
skip_for_unmatch=False,
aliases=set(),
)
@kiosay.handle()
async def _(saying: list[str]):
img = await draw_kiosay("\n".join(saying))
img_bytes = BytesIO()
img.save(img_bytes, format="PNG")
await kiosay.send(await UniMessage().image(raw=img_bytes).export())
quote_cmd = on_alconna(Alconna(
"名人名言",
Args["quote", str],
Args["author", str],
Args["image?", Image | None],
), aliases={"quote"})
@quote_cmd.handle()
async def _(quote: str, author: str, img: PIL_Image):
async with host_tempdir() as tempdir:
img_path = tempdir.path / "image.png"
img_url = tempdir.url_of(img_path)
img.save(img_path)
async def page_function(page: Page):
async def on_console(msg: ConsoleMessage):
logger.debug(f"WEB CONSOLE {msg.text}")
page.on('console', on_console)
await page.locator('input[name=image]').fill(img_url)
await page.locator('input[name=quote]').fill(quote)
await page.locator('input[name=author]').fill(author)
await page.wait_for_timeout(500)
await page.wait_for_load_state('networkidle')
await page.wait_for_timeout(500)
out = await WebRenderer.render(
konaweb('makequote'),
target='#main',
other_function=page_function,
)
await quote_cmd.send(await UniMessage().image(raw=out).export())
doubao_cmd = on_alconna(Alconna(
"豆包水印",
Args["image?", Image | None],
))
@doubao_cmd.handle()
async def _(img: PIL_Image):
result = await draw_doubao_watermark(img)
result_bytes = BytesIO()
result.save(result_bytes, format="PNG")
await doubao_cmd.send(await UniMessage().image(raw=result_bytes).export())

View File

@ -5,6 +5,7 @@ import imagetext_py
import PIL.Image
from konabot.common.path import ASSETS_PATH
from konabot.common.utils.to_async import make_async
from .base.fonts import HARMONYOS_SANS_SC_BLACK, HARMONYOS_SANS_SC_REGULAR, LXGWWENKAI_REGULAR
@ -14,6 +15,7 @@ mnk_image = PIL.Image.open(ASSETS_PATH / "img" / "meme" / "mnksay.jpg").convert(
dasuan_image = PIL.Image.open(ASSETS_PATH / "img" / "meme" / "dss.png").convert("RGBA")
suan_image = PIL.Image.open(ASSETS_PATH / "img" / "meme" / "suanleba.png").convert("RGBA")
cute_ten_image = PIL.Image.open(ASSETS_PATH / "img" / "meme" / "tententen.png").convert("RGBA")
kio_image = PIL.Image.open(ASSETS_PATH / "img" / "meme" / "kiosay.jpg").convert("RGBA")
def _draw_geimao(saying: str):
@ -29,7 +31,7 @@ def _draw_geimao(saying: str):
draw_emojis=True,
)
return img
async def draw_geimao(saying: str):
return await asyncio.to_thread(_draw_geimao, saying)
@ -106,3 +108,18 @@ def _draw_cute_ten(saying: str):
async def draw_cute_ten(saying: str):
return await asyncio.to_thread(_draw_cute_ten, saying)
@make_async
def draw_kiosay(saying: str):
img = kio_image.copy()
with imagetext_py.Writer(img) as iw:
iw.draw_text_wrapped(
saying, 450, 540, 0.5, 0.5, 900, 96, LXGWWENKAI_REGULAR,
imagetext_py.Paint.Color(imagetext_py.Color.from_hex("000000FF")),
1.0,
imagetext_py.TextAlign.Center,
draw_emojis=True,
)
return img

View File

@ -0,0 +1,20 @@
import PIL
import PIL.Image
from konabot.common.path import ASSETS_PATH
from konabot.common.utils.to_async import make_async
doubao_watermark = PIL.Image.open(ASSETS_PATH / "img" / "meme" / "doubao.png").convert("RGBA")
@make_async
def draw_doubao_watermark(base: PIL.Image.Image) -> PIL.Image.Image:
base = base.copy().convert("RGBA")
w = base.size[0] / 768 * 140
h = base.size[0] / 768 * 40
x = base.size[0] / 768 * 160
y = base.size[0] / 768 * 60
w, h, x, y = map(int, (w, h, x, y))
base.alpha_composite(doubao_watermark.resize((w, h)), (base.size[0] - x, base.size[1] - y))
return base

196
poetry.lock generated
View File

@ -803,6 +803,23 @@ type = "legacy"
url = "https://pypi.tuna.tsinghua.edu.cn/simple"
reference = "mirrors"
[[package]]
name = "distro"
version = "1.9.0"
description = "Distro - an OS platform information API"
optional = false
python-versions = ">=3.6"
groups = ["main"]
files = [
{file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
{file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
]
[package.source]
type = "legacy"
url = "https://pypi.tuna.tsinghua.edu.cn/simple"
reference = "mirrors"
[[package]]
name = "exceptiongroup"
version = "1.3.0"
@ -1333,6 +1350,123 @@ type = "legacy"
url = "https://pypi.tuna.tsinghua.edu.cn/simple"
reference = "mirrors"
[[package]]
name = "jiter"
version = "0.11.1"
description = "Fast iterable JSON parser."
optional = false
python-versions = ">=3.9"
groups = ["main"]
files = [
{file = "jiter-0.11.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:ed58841a491bbbf3f7c55a6b68fff568439ab73b2cce27ace0e169057b5851df"},
{file = "jiter-0.11.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:499beb9b2d7e51d61095a8de39ebcab1d1778f2a74085f8305a969f6cee9f3e4"},
{file = "jiter-0.11.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b87b2821795e28cc990939b68ce7a038edea680a24910bd68a79d54ff3f03c02"},
{file = "jiter-0.11.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:83f6fa494d8bba14ab100417c80e70d32d737e805cb85be2052d771c76fcd1f8"},
{file = "jiter-0.11.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5fbc6aea1daa2ec6f5ed465f0c5e7b0607175062ceebbea5ca70dd5ddab58083"},
{file = "jiter-0.11.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:302288e2edc43174bb2db838e94688d724f9aad26c5fb9a74f7a5fb427452a6a"},
{file = "jiter-0.11.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:85db563fe3b367bb568af5d29dea4d4066d923b8e01f3417d25ebecd958de815"},
{file = "jiter-0.11.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f1c1ba2b6b22f775444ef53bc2d5778396d3520abc7b2e1da8eb0c27cb3ffb10"},
{file = "jiter-0.11.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:523be464b14f8fd0cc78da6964b87b5515a056427a2579f9085ce30197a1b54a"},
{file = "jiter-0.11.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:25b99b3f04cd2a38fefb22e822e35eb203a2cd37d680dbbc0c0ba966918af336"},
{file = "jiter-0.11.1-cp310-cp310-win32.whl", hash = "sha256:47a79e90545a596bb9104109777894033347b11180d4751a216afef14072dbe7"},
{file = "jiter-0.11.1-cp310-cp310-win_amd64.whl", hash = "sha256:cace75621ae9bd66878bf69fbd4dfc1a28ef8661e0c2d0eb72d3d6f1268eddf5"},
{file = "jiter-0.11.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:9b0088ff3c374ce8ce0168523ec8e97122ebb788f950cf7bb8e39c7dc6a876a2"},
{file = "jiter-0.11.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:74433962dd3c3090655e02e461267095d6c84f0741c7827de11022ef8d7ff661"},
{file = "jiter-0.11.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6d98030e345e6546df2cc2c08309c502466c66c4747b043f1a0d415fada862b8"},
{file = "jiter-0.11.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:1d6db0b2e788db46bec2cf729a88b6dd36959af2abd9fa2312dfba5acdd96dcb"},
{file = "jiter-0.11.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:55678fbbda261eafe7289165dd2ddd0e922df5f9a1ae46d7c79a5a15242bd7d1"},
{file = "jiter-0.11.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6a6b74fae8e40497653b52ce6ca0f1b13457af769af6fb9c1113efc8b5b4d9be"},
{file = "jiter-0.11.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0a55a453f8b035eb4f7852a79a065d616b7971a17f5e37a9296b4b38d3b619e4"},
{file = "jiter-0.11.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2638148099022e6bdb3f42904289cd2e403609356fb06eb36ddec2d50958bc29"},
{file = "jiter-0.11.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:252490567a5d990986f83b95a5f1ca1bf205ebd27b3e9e93bb7c2592380e29b9"},
{file = "jiter-0.11.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d431d52b0ca2436eea6195f0f48528202100c7deda354cb7aac0a302167594d5"},
{file = "jiter-0.11.1-cp311-cp311-win32.whl", hash = "sha256:db6f41e40f8bae20c86cb574b48c4fd9f28ee1c71cb044e9ec12e78ab757ba3a"},
{file = "jiter-0.11.1-cp311-cp311-win_amd64.whl", hash = "sha256:0cc407b8e6cdff01b06bb80f61225c8b090c3df108ebade5e0c3c10993735b19"},
{file = "jiter-0.11.1-cp311-cp311-win_arm64.whl", hash = "sha256:fe04ea475392a91896d1936367854d346724a1045a247e5d1c196410473b8869"},
{file = "jiter-0.11.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:c92148eec91052538ce6823dfca9525f5cfc8b622d7f07e9891a280f61b8c96c"},
{file = "jiter-0.11.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ecd4da91b5415f183a6be8f7158d127bdd9e6a3174138293c0d48d6ea2f2009d"},
{file = "jiter-0.11.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7e3ac25c00b9275684d47aa42febaa90a9958e19fd1726c4ecf755fbe5e553b"},
{file = "jiter-0.11.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:57d7305c0a841858f866cd459cd9303f73883fb5e097257f3d4a3920722c69d4"},
{file = "jiter-0.11.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e86fa10e117dce22c547f31dd6d2a9a222707d54853d8de4e9a2279d2c97f239"},
{file = "jiter-0.11.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ae5ef1d48aec7e01ee8420155d901bb1d192998fa811a65ebb82c043ee186711"},
{file = "jiter-0.11.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eb68e7bf65c990531ad8715e57d50195daf7c8e6f1509e617b4e692af1108939"},
{file = "jiter-0.11.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:43b30c8154ded5845fa454ef954ee67bfccce629b2dea7d01f795b42bc2bda54"},
{file = "jiter-0.11.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:586cafbd9dd1f3ce6a22b4a085eaa6be578e47ba9b18e198d4333e598a91db2d"},
{file = "jiter-0.11.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:677cc2517d437a83bb30019fd4cf7cad74b465914c56ecac3440d597ac135250"},
{file = "jiter-0.11.1-cp312-cp312-win32.whl", hash = "sha256:fa992af648fcee2b850a3286a35f62bbbaeddbb6dbda19a00d8fbc846a947b6e"},
{file = "jiter-0.11.1-cp312-cp312-win_amd64.whl", hash = "sha256:88b5cae9fa51efeb3d4bd4e52bfd4c85ccc9cac44282e2a9640893a042ba4d87"},
{file = "jiter-0.11.1-cp312-cp312-win_arm64.whl", hash = "sha256:9a6cae1ab335551917f882f2c3c1efe7617b71b4c02381e4382a8fc80a02588c"},
{file = "jiter-0.11.1-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:71b6a920a5550f057d49d0e8bcc60945a8da998019e83f01adf110e226267663"},
{file = "jiter-0.11.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:0b3de72e925388453a5171be83379549300db01284f04d2a6f244d1d8de36f94"},
{file = "jiter-0.11.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cc19dd65a2bd3d9c044c5b4ebf657ca1e6003a97c0fc10f555aa4f7fb9821c00"},
{file = "jiter-0.11.1-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d58faaa936743cd1464540562f60b7ce4fd927e695e8bc31b3da5b914baa9abd"},
{file = "jiter-0.11.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:902640c3103625317291cb73773413b4d71847cdf9383ba65528745ff89f1d14"},
{file = "jiter-0.11.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:30405f726e4c2ed487b176c09f8b877a957f535d60c1bf194abb8dadedb5836f"},
{file = "jiter-0.11.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3217f61728b0baadd2551844870f65219ac4a1285d5e1a4abddff3d51fdabe96"},
{file = "jiter-0.11.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b1364cc90c03a8196f35f396f84029f12abe925415049204446db86598c8b72c"},
{file = "jiter-0.11.1-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:53a54bf8e873820ab186b2dca9f6c3303f00d65ae5e7b7d6bda1b95aa472d646"},
{file = "jiter-0.11.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:7e29aca023627b0e0c2392d4248f6414d566ff3974fa08ff2ac8dbb96dfee92a"},
{file = "jiter-0.11.1-cp313-cp313-win32.whl", hash = "sha256:f153e31d8bca11363751e875c0a70b3d25160ecbaee7b51e457f14498fb39d8b"},
{file = "jiter-0.11.1-cp313-cp313-win_amd64.whl", hash = "sha256:f773f84080b667c69c4ea0403fc67bb08b07e2b7ce1ef335dea5868451e60fed"},
{file = "jiter-0.11.1-cp313-cp313-win_arm64.whl", hash = "sha256:635ecd45c04e4c340d2187bcb1cea204c7cc9d32c1364d251564bf42e0e39c2d"},
{file = "jiter-0.11.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:d892b184da4d94d94ddb4031296931c74ec8b325513a541ebfd6dfb9ae89904b"},
{file = "jiter-0.11.1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aa22c223a3041dacb2fcd37c70dfd648b44662b4a48e242592f95bda5ab09d58"},
{file = "jiter-0.11.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:330e8e6a11ad4980cd66a0f4a3e0e2e0f646c911ce047014f984841924729789"},
{file = "jiter-0.11.1-cp313-cp313t-win_amd64.whl", hash = "sha256:09e2e386ebf298547ca3a3704b729471f7ec666c2906c5c26c1a915ea24741ec"},
{file = "jiter-0.11.1-cp313-cp313t-win_arm64.whl", hash = "sha256:fe4a431c291157e11cee7c34627990ea75e8d153894365a3bc84b7a959d23ca8"},
{file = "jiter-0.11.1-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:0fa1f70da7a8a9713ff8e5f75ec3f90c0c870be6d526aa95e7c906f6a1c8c676"},
{file = "jiter-0.11.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:569ee559e5046a42feb6828c55307cf20fe43308e3ae0d8e9e4f8d8634d99944"},
{file = "jiter-0.11.1-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f69955fa1d92e81987f092b233f0be49d4c937da107b7f7dcf56306f1d3fcce9"},
{file = "jiter-0.11.1-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:090f4c9d4a825e0fcbd0a2647c9a88a0f366b75654d982d95a9590745ff0c48d"},
{file = "jiter-0.11.1-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bbf3d8cedf9e9d825233e0dcac28ff15c47b7c5512fdfe2e25fd5bbb6e6b0cee"},
{file = "jiter-0.11.1-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2aa9b1958f9c30d3d1a558b75f0626733c60eb9b7774a86b34d88060be1e67fe"},
{file = "jiter-0.11.1-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e42d1ca16590b768c5e7d723055acd2633908baacb3628dd430842e2e035aa90"},
{file = "jiter-0.11.1-cp314-cp314-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:5db4c2486a023820b701a17aec9c5a6173c5ba4393f26662f032f2de9c848b0f"},
{file = "jiter-0.11.1-cp314-cp314-musllinux_1_1_aarch64.whl", hash = "sha256:4573b78777ccfac954859a6eff45cbd9d281d80c8af049d0f1a3d9fc323d5c3a"},
{file = "jiter-0.11.1-cp314-cp314-musllinux_1_1_x86_64.whl", hash = "sha256:7593ac6f40831d7961cb67633c39b9fef6689a211d7919e958f45710504f52d3"},
{file = "jiter-0.11.1-cp314-cp314-win32.whl", hash = "sha256:87202ec6ff9626ff5f9351507def98fcf0df60e9a146308e8ab221432228f4ea"},
{file = "jiter-0.11.1-cp314-cp314-win_amd64.whl", hash = "sha256:a5dd268f6531a182c89d0dd9a3f8848e86e92dfff4201b77a18e6b98aa59798c"},
{file = "jiter-0.11.1-cp314-cp314-win_arm64.whl", hash = "sha256:5d761f863f912a44748a21b5c4979c04252588ded8d1d2760976d2e42cd8d991"},
{file = "jiter-0.11.1-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:2cc5a3965285ddc33e0cab933e96b640bc9ba5940cea27ebbbf6695e72d6511c"},
{file = "jiter-0.11.1-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6b572b3636a784c2768b2342f36a23078c8d3aa6d8a30745398b1bab58a6f1a8"},
{file = "jiter-0.11.1-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ad93e3d67a981f96596d65d2298fe8d1aa649deb5374a2fb6a434410ee11915e"},
{file = "jiter-0.11.1-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a83097ce379e202dcc3fe3fc71a16d523d1ee9192c8e4e854158f96b3efe3f2f"},
{file = "jiter-0.11.1-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7042c51e7fbeca65631eb0c332f90c0c082eab04334e7ccc28a8588e8e2804d9"},
{file = "jiter-0.11.1-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0a68d679c0e47649a61df591660507608adc2652442de7ec8276538ac46abe08"},
{file = "jiter-0.11.1-cp314-cp314t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a1b0da75dbf4b6ec0b3c9e604d1ee8beaf15bc046fff7180f7d89e3cdbd3bb51"},
{file = "jiter-0.11.1-cp314-cp314t-musllinux_1_1_aarch64.whl", hash = "sha256:69dd514bf0fa31c62147d6002e5ca2b3e7ef5894f5ac6f0a19752385f4e89437"},
{file = "jiter-0.11.1-cp314-cp314t-musllinux_1_1_x86_64.whl", hash = "sha256:bb31ac0b339efa24c0ca606febd8b77ef11c58d09af1b5f2be4c99e907b11111"},
{file = "jiter-0.11.1-cp314-cp314t-win32.whl", hash = "sha256:b2ce0d6156a1d3ad41da3eec63b17e03e296b78b0e0da660876fccfada86d2f7"},
{file = "jiter-0.11.1-cp314-cp314t-win_amd64.whl", hash = "sha256:f4db07d127b54c4a2d43b4cf05ff0193e4f73e0dd90c74037e16df0b29f666e1"},
{file = "jiter-0.11.1-cp314-cp314t-win_arm64.whl", hash = "sha256:28e4fdf2d7ebfc935523e50d1efa3970043cfaa161674fe66f9642409d001dfe"},
{file = "jiter-0.11.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:baa99c8db49467527658bb479857344daf0a14dff909b7f6714579ac439d1253"},
{file = "jiter-0.11.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:860fe55fa3b01ad0edf2adde1098247ff5c303d0121f9ce028c03d4f88c69502"},
{file = "jiter-0.11.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:173dd349d99b6feaf5a25a6fbcaf3489a6f947708d808240587a23df711c67db"},
{file = "jiter-0.11.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:14ac1dca837514cc946a6ac2c4995d9695303ecc754af70a3163d057d1a444ab"},
{file = "jiter-0.11.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:69af47de5f93a231d5b85f7372d3284a5be8edb4cc758f006ec5a1406965ac5e"},
{file = "jiter-0.11.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:685f8b3abd3bbd3e06e4dfe2429ff87fd5d7a782701151af99b1fcbd80e31b2b"},
{file = "jiter-0.11.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d04afa2d4e5526e54ae8a58feea953b1844bf6e3526bc589f9de68e86d0ea01"},
{file = "jiter-0.11.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:1e92b927259035b50d8e11a8fdfe0ebd014d883e4552d37881643fa289a4bcf1"},
{file = "jiter-0.11.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:e7bd8be4fad8d4c5558b7801770cd2da6c072919c6f247cc5336edb143f25304"},
{file = "jiter-0.11.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:121381a77a3c85987f3eba0d30ceaca9116f7463bedeec2fa79b2e7286b89b60"},
{file = "jiter-0.11.1-cp39-cp39-win32.whl", hash = "sha256:160225407f6dfabdf9be1b44e22f06bc293a78a28ffa4347054698bd712dad06"},
{file = "jiter-0.11.1-cp39-cp39-win_amd64.whl", hash = "sha256:028e0d59bcdfa1079f8df886cdaefc6f515c27a5288dec956999260c7e4a7cfd"},
{file = "jiter-0.11.1-graalpy311-graalpy242_311_native-macosx_10_12_x86_64.whl", hash = "sha256:e642b5270e61dd02265866398707f90e365b5db2eb65a4f30c789d826682e1f6"},
{file = "jiter-0.11.1-graalpy311-graalpy242_311_native-macosx_11_0_arm64.whl", hash = "sha256:464ba6d000585e4e2fd1e891f31f1231f497273414f5019e27c00a4b8f7a24ad"},
{file = "jiter-0.11.1-graalpy311-graalpy242_311_native-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:055568693ab35e0bf3a171b03bb40b2dcb10352359e0ab9b5ed0da2bf1eb6f6f"},
{file = "jiter-0.11.1-graalpy311-graalpy242_311_native-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e0c69ea798d08a915ba4478113efa9e694971e410056392f4526d796f136d3fa"},
{file = "jiter-0.11.1-graalpy312-graalpy250_312_native-macosx_10_12_x86_64.whl", hash = "sha256:0d4d6993edc83cf75e8c6828a8d6ce40a09ee87e38c7bfba6924f39e1337e21d"},
{file = "jiter-0.11.1-graalpy312-graalpy250_312_native-macosx_11_0_arm64.whl", hash = "sha256:f78d151c83a87a6cf5461d5ee55bc730dd9ae227377ac6f115b922989b95f838"},
{file = "jiter-0.11.1-graalpy312-graalpy250_312_native-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c9022974781155cd5521d5cb10997a03ee5e31e8454c9d999dcdccd253f2353f"},
{file = "jiter-0.11.1-graalpy312-graalpy250_312_native-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:18c77aaa9117510d5bdc6a946baf21b1f0cfa58ef04d31c8d016f206f2118960"},
{file = "jiter-0.11.1.tar.gz", hash = "sha256:849dcfc76481c0ea0099391235b7ca97d7279e0fa4c86005457ac7c88e8b76dc"},
]
[package.source]
type = "legacy"
url = "https://pypi.tuna.tsinghua.edu.cn/simple"
reference = "mirrors"
[[package]]
name = "linkify-it-py"
version = "2.0.3"
@ -2200,6 +2334,39 @@ type = "legacy"
url = "https://pypi.tuna.tsinghua.edu.cn/simple"
reference = "mirrors"
[[package]]
name = "openai"
version = "2.7.1"
description = "The official Python library for the openai API"
optional = false
python-versions = ">=3.8"
groups = ["main"]
files = [
{file = "openai-2.7.1-py3-none-any.whl", hash = "sha256:2f2530354d94c59c614645a4662b9dab0a5b881c5cd767a8587398feac0c9021"},
{file = "openai-2.7.1.tar.gz", hash = "sha256:df4d4a3622b2df3475ead8eb0fbb3c27fd1c070fa2e55d778ca4f40e0186c726"},
]
[package.dependencies]
anyio = ">=3.5.0,<5"
distro = ">=1.7.0,<2"
httpx = ">=0.23.0,<1"
jiter = ">=0.10.0,<1"
pydantic = ">=1.9.0,<3"
sniffio = "*"
tqdm = ">4"
typing-extensions = ">=4.11,<5"
[package.extras]
aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.9)"]
datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
realtime = ["websockets (>=13,<16)"]
voice-helpers = ["numpy (>=2.0.2)", "sounddevice (>=0.5.1)"]
[package.source]
type = "legacy"
url = "https://pypi.tuna.tsinghua.edu.cn/simple"
reference = "mirrors"
[[package]]
name = "opencc"
version = "1.1.9"
@ -3387,6 +3554,33 @@ type = "legacy"
url = "https://pypi.tuna.tsinghua.edu.cn/simple"
reference = "mirrors"
[[package]]
name = "tqdm"
version = "4.67.1"
description = "Fast, Extensible Progress Meter"
optional = false
python-versions = ">=3.7"
groups = ["main"]
files = [
{file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
{file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
]
[package.dependencies]
colorama = {version = "*", markers = "platform_system == \"Windows\""}
[package.extras]
dev = ["nbval", "pytest (>=6)", "pytest-asyncio (>=0.24)", "pytest-cov", "pytest-timeout"]
discord = ["requests"]
notebook = ["ipywidgets (>=6)"]
slack = ["slack-sdk"]
telegram = ["requests"]
[package.source]
type = "legacy"
url = "https://pypi.tuna.tsinghua.edu.cn/simple"
reference = "mirrors"
[[package]]
name = "typing-extensions"
version = "4.15.0"
@ -3978,4 +4172,4 @@ reference = "mirrors"
[metadata]
lock-version = "2.1"
python-versions = ">=3.12,<4.0"
content-hash = "ec73430f70658a303c47e6f536ccb0863a475f7f25d5334c8766e6149075648c"
content-hash = "dcb6567ccb9eb6357179dd8b8eaa5fb69373cef0e17d3a49c7c895d289c0d642"

View File

@ -27,6 +27,7 @@ dependencies = [
"nanoid (>=2.0.0,<3.0.0)",
"opencc (>=1.1.9,<2.0.0)",
"playwright (>=1.55.0,<2.0.0)",
"openai (>=2.7.1,<3.0.0)",
]
[build-system]