教程助手：生成技术类教程

角色介绍

功能说明

输入一句话，生成一篇偏技术类教程文档，支持自定义语言。

设计思路

先通过 LLM 大模型生成教程的目录，再对目录按照二级标题进行分块，对于每块目录按照标题生成详细内容，最后再将标题和内容进行拼接。分块的设计解决了 LLM 大模型长文本的限制问题。

源码

角色定义

定义角色类，继承 Role 基类，重写 __init__ 初始化方法。__init__ 方法必须包含name、profile、goal、constraints 参数。第一行代码使用super().__init__(name, profile, goal, constraints) 调用父类的构造函数，实现 Role 的初始化。使用 self.set_actions([WriteDirectory(language=language)]) 添加初始的 action 和 states，这里先添加写目录的 action。同时，也可以自定义参数，这里加了 language 参数支持自定义语言。使用self._set_react_mode(react_mode="by_order") 将 set_actions 的 action 执行顺序设置为顺序。

python

class TutorialAssistant(Role):
    """Tutorial assistant, input one sentence to generate a tutorial document in markup format.

    Args:
        name: The name of the role.
        profile: The role profile description.
        goal: The goal of the role.
        constraints: Constraints or requirements for the role.
        language: The language in which the tutorial documents will be generated.
    """

    def __init__(
        self,
        name: str = "Stitch",
        profile: str = "Tutorial Assistant",
        goal: str = "Generate tutorial documents",
        constraints: str = "Strictly follow Markdown's syntax, with neat and standardized layout",
        language: str = "Chinese",
    ):
        super().__init__(name, profile, goal, constraints)
        self.set_actions([WriteDirectory(language=language)])
        self.topic = ""
        self.main_title = ""
        self.total_content = ""
        self.language = language
        self._set_react_mode(react_mode="by_order")

class TutorialAssistant(Role):
    """Tutorial assistant, input one sentence to generate a tutorial document in markup format.

    Args:
        name: The name of the role.
        profile: The role profile description.
        goal: The goal of the role.
        constraints: Constraints or requirements for the role.
        language: The language in which the tutorial documents will be generated.
    """

    def __init__(
        self,
        name: str = "Stitch",
        profile: str = "Tutorial Assistant",
        goal: str = "Generate tutorial documents",
        constraints: str = "Strictly follow Markdown's syntax, with neat and standardized layout",
        language: str = "Chinese",
    ):
        super().__init__(name, profile, goal, constraints)
        self.set_actions([WriteDirectory(language=language)])
        self.topic = ""
        self.main_title = ""
        self.total_content = ""
        self.language = language
        self._set_react_mode(react_mode="by_order")

重写 react 方法。使用 await super().react() 调用 Role 基类的 react 方法，根据 __init__ 初始化方法设置的 react_mode="by_order" 按顺序执行 states 的每一个 action 。这里重写的目的是为了执行完所有的 action 后可以做最后的操作，即把拼接完的教程内容写成 markdown 文件。

python

async def react(self) -> Message:
    msg = await super().react()
    root_path = TUTORIAL_PATH / datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
    await File.write(root_path, f"{self.main_title}.md", self.total_content.encode('utf-8'))
    return msg

async def react(self) -> Message:
    msg = await super().react()
    root_path = TUTORIAL_PATH / datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
    await File.write(root_path, f"{self.main_title}.md", self.total_content.encode('utf-8'))
    return msg

重写 _act 方法，_act 方法是执行 action。使用 todo = self.rc.todo 从上下文获取下一步要执行的 action，再执行 action 的 run 方法。这里是先通过 WriteDirectory 获取教程的目录结构，再分块目录，每块生成一个 WriteContent 的 action，再初始化新添加的 action。这里再次调用 await super().react() 是为了从头执行新添加的所有 WriteContent action。每个 action 执行完的结果生成消息 Message(content=resp, role=self.profile)，可以将其放入上下文内存 self.rc.memory，该角色不需要存入。

python

async def _act(self) -> Message:
    """Perform an action as determined by the role.

    Returns:
    	A message containing the result of the action.
    """
    todo = self.rc.todo
    if type(todo) is WriteDirectory:
        msg = self.rc.memory.get(k=1)[0]
        self.topic = msg.content
        resp = await todo.run(topic=self.topic)
        logger.info(resp)
        await self._handle_directory(resp)
        return await super().react()
    resp = await todo.run(topic=self.topic)
    logger.info(resp)
    if self.total_content != "":
        self.total_content += "\n\n\n"
    self.total_content += resp
    return Message(content=resp, role=self.profile)

async def _handle_directory(self, titles: Dict) -> Message:
    """Handle the directories for the tutorial document.

    Args:
        titles: A dictionary containing the titles and directory structure,
                such as {"title": "xxx", "directory": [{"dir 1": ["sub dir 1", "sub dir 2"]}]}

    Returns:
        A message containing information about the directory.
    """
    self.main_title = titles.get("title")
    directory = f"{self.main_title}\n"
    self.total_content += f"# {self.main_title}"
    actions = list()
    for first_dir in titles.get("directory"):
        actions.append(WriteContent(language=self.language, directory=first_dir))
        key = list(first_dir.keys())[0]
        directory += f"- {key}\n"
        for second_dir in first_dir[key]:
            directory += f"  - {second_dir}\n"
    self.set_actions(actions)

async def _act(self) -> Message:
    """Perform an action as determined by the role.

    Returns:
    	A message containing the result of the action.
    """
    todo = self.rc.todo
    if type(todo) is WriteDirectory:
        msg = self.rc.memory.get(k=1)[0]
        self.topic = msg.content
        resp = await todo.run(topic=self.topic)
        logger.info(resp)
        await self._handle_directory(resp)
        return await super().react()
    resp = await todo.run(topic=self.topic)
    logger.info(resp)
    if self.total_content != "":
        self.total_content += "\n\n\n"
    self.total_content += resp
    return Message(content=resp, role=self.profile)

async def _handle_directory(self, titles: Dict) -> Message:
    """Handle the directories for the tutorial document.

    Args:
        titles: A dictionary containing the titles and directory structure,
                such as {"title": "xxx", "directory": [{"dir 1": ["sub dir 1", "sub dir 2"]}]}

    Returns:
        A message containing information about the directory.
    """
    self.main_title = titles.get("title")
    directory = f"{self.main_title}\n"
    self.total_content += f"# {self.main_title}"
    actions = list()
    for first_dir in titles.get("directory"):
        actions.append(WriteContent(language=self.language, directory=first_dir))
        key = list(first_dir.keys())[0]
        directory += f"- {key}\n"
        for second_dir in first_dir[key]:
            directory += f"  - {second_dir}\n"
    self.set_actions(actions)

Action定义

定义 action，每个 action 对应一个 class 对象，继承 Action 基类，重写 __init__ 初始化方法。。__init__ 方法包含 name 参数。第一行代码使用 super().__init__(name, *args, **kwargs) 调用父类的构造函数，实现 action 的初始化。这里使用 args、kwargs 将其他参数传递给父类的构造函数，比如 context、llm。

python

#!/usr/bin/env python3
# _*_ coding: utf-8 _*_
"""
@Time    : 2023/9/4 15:40:40
@Author  : Stitch-z
@File    : tutorial_assistant.py
@Describe : Actions of the tutorial assistant, including writing directories and document content.
"""

from typing import Dict

from metagpt.actions import Action
from metagpt.prompts.tutorial_assistant import DIRECTORY_PROMPT, CONTENT_PROMPT
from metagpt.utils.common import OutputParser


class WriteDirectory(Action):
    """Action class for writing tutorial directories.

    Args:
        name: The name of the action.
        language: The language to output, default is "Chinese".
    """

    def __init__(self, name: str = "", language: str = "Chinese", *args, **kwargs):
        super().__init__(name, *args, **kwargs)
        self.language = language

#!/usr/bin/env python3
# _*_ coding: utf-8 _*_
"""
@Time    : 2023/9/4 15:40:40
@Author  : Stitch-z
@File    : tutorial_assistant.py
@Describe : Actions of the tutorial assistant, including writing directories and document content.
"""

from typing import Dict

from metagpt.actions import Action
from metagpt.prompts.tutorial_assistant import DIRECTORY_PROMPT, CONTENT_PROMPT
from metagpt.utils.common import OutputParser


class WriteDirectory(Action):
    """Action class for writing tutorial directories.

    Args:
        name: The name of the action.
        language: The language to output, default is "Chinese".
    """

    def __init__(self, name: str = "", language: str = "Chinese", *args, **kwargs):
        super().__init__(name, *args, **kwargs)
        self.language = language

重写 run 方法。run 方法是 action 执行的主要函数，使用 self._aask(prompt=prompt) 方法提问 LLM 大模型。

python

async def run(self, topic: str, *args, **kwargs) -> Dict:
    """Execute the action to generate a tutorial directory according to the topic.

    Args:
        topic: The tutorial topic.

    Returns:
        the tutorial directory information, including {"title": "xxx", "directory": [{"dir 1": ["sub dir 1", "sub dir 2"]}]}.
    """
    prompt = DIRECTORY_PROMPT.format(topic=topic, language=self.language)
    resp = await self._aask(prompt=prompt)
    return OutputParser.extract_struct(resp, dict)

async def run(self, topic: str, *args, **kwargs) -> Dict:
    """Execute the action to generate a tutorial directory according to the topic.

    Args:
        topic: The tutorial topic.

    Returns:
        the tutorial directory information, including {"title": "xxx", "directory": [{"dir 1": ["sub dir 1", "sub dir 2"]}]}.
    """
    prompt = DIRECTORY_PROMPT.format(topic=topic, language=self.language)
    resp = await self._aask(prompt=prompt)
    return OutputParser.extract_struct(resp, dict)

其他 action 写法类似。

python

class WriteContent(Action):
    """Action class for writing tutorial content.

    Args:
        name: The name of the action.
        directory: The content to write.
        language: The language to output, default is "Chinese".
    """

    def __init__(self, name: str = "", directory: str = "", language: str = "Chinese", *args, **kwargs):
        super().__init__(name, *args, **kwargs)
        self.language = language
        self.directory = directory

    async def run(self, topic: str, *args, **kwargs) -> str:
        """Execute the action to write document content according to the directory and topic.

        Args:
            topic: The tutorial topic.

        Returns:
            The written tutorial content.
        """
        prompt = CONTENT_PROMPT.format(topic=topic, language=self.language, directory=self.directory)
        return await self._aask(prompt=prompt)

class WriteContent(Action):
    """Action class for writing tutorial content.

    Args:
        name: The name of the action.
        directory: The content to write.
        language: The language to output, default is "Chinese".
    """

    def __init__(self, name: str = "", directory: str = "", language: str = "Chinese", *args, **kwargs):
        super().__init__(name, *args, **kwargs)
        self.language = language
        self.directory = directory

    async def run(self, topic: str, *args, **kwargs) -> str:
        """Execute the action to write document content according to the directory and topic.

        Args:
            topic: The tutorial topic.

        Returns:
            The written tutorial content.
        """
        prompt = CONTENT_PROMPT.format(topic=topic, language=self.language, directory=self.directory)
        return await self._aask(prompt=prompt)

角色执行结果

输入样例

MySQL 教程
Redis 教程
Hive 教程

执行命令样例

贴对应的执行命令样例

执行结果

生成的教程文档在项目的 /data/tutorial_docx 目录下。截图如下：

注意点

该角色暂未支持联网搜索能力，内容生成依赖 LLM 大模型训练的数据。

配置

数据解释器

环境

教程助手：生成技术类教程

角色介绍

功能说明

设计思路

源码

角色定义

Action定义

角色执行结果

输入样例

执行命令样例

执行结果

注意点

数据解释器

教程助手：生成技术类教程 ​

角色介绍 ​

功能说明 ​

设计思路 ​

源码 ​

角色定义 ​

Action定义 ​

角色执行结果 ​

输入样例 ​

执行命令样例 ​

执行结果 ​

注意点 ​

教程助手：生成技术类教程

角色介绍

功能说明

设计思路

源码

角色定义

Action定义

角色执行结果

输入样例

执行命令样例

执行结果

注意点