Optimize Wxchat-bot doc #993
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WalkthroughThe changes in this pull request involve the addition of a new navigation item in the VitePress configuration for documentation, specifically under the "Use Cases" section. A new file, Changes
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Actionable comments posted: 4
🧹 Outside diff range and nitpick comments (11)
example/wx-chatbot/requirements.txt (1)
1-3: Add a newline at the end of the fileThe file is missing a newline at the end, which is considered good practice and can prevent issues with some tools.
Add a newline at the end of the file:
itchat-uos == 1.4.1 pne promotulate +example/wx-chatbot/README.md (5)
3-5: Enhance the introduction with brief explanations ofpneanditchat.The introduction is concise and clear about the project's purpose. However, it could be more informative by briefly explaining what
pneanditchatare. This would help readers unfamiliar with these libraries.Consider expanding the introduction like this:
## Introduction This is a simple example of building a WeChat chatbot using pne (a framework for building AI applications) and itchat (a library for WeChat API). This combination allows for the creation of an AI-powered chatbot that can interact with users through WeChat.
7-17: Clarify WeChat permissions and mention OpenAI usage in the introduction.The prerequisites section is well-structured, but there are two points that could use clarification:
The "necessary permissions" for the WeChat account are not specified. It would be helpful to elaborate on what these permissions are or provide a link to documentation explaining them.
The OpenAI API key requirement implies the use of OpenAI's services, which wasn't mentioned in the introduction. Consider adding this information to the introduction for better context.
Consider updating the prerequisites like this:
4. A WeChat account with the necessary permissions to use itchat (specify permissions or link to documentation)Also, update the introduction to mention the use of OpenAI's services.
19-25: Enhance installation instructions with virtual environment setup and file location details.The installation instructions are straightforward, but they could be improved by:
- Recommending the use of a virtual environment.
- Specifying the location of the
requirements.txtfile.Consider updating the installation section like this:
## Installation 1. It's recommended to create and activate a virtual environment: ```bash python -m venv venv source venv/bin/activate # On Windows, use `venv\Scripts\activate`
Install the necessary Python packages using pip:
pip install -r requirements.txtNote: Ensure you're in the directory containing the
requirements.txtfile when running this command.--- `27-34`: **Expand usage instructions with more details and expected behavior.** The usage instructions provide basic information but could be more comprehensive. Consider the following improvements: 1. Provide more details on how to edit the `model_config` in `app.py`. 2. Explain what users should expect to see after running the command. 3. Include instructions on how to interact with the chatbot once it's running. Here's a suggested expansion of the Usage section: ```markdown ## Usage 1. Edit the `model_config` in `app.py` to set your OpenAI API key: ```python model_config = { "model": "gpt-3.5-turbo", "api_key": "your-api-key-here" }
Run the chatbot using the following command:
python app.pyAfter running the command, you should see output indicating that the bot is starting up. You may be prompted to scan a QR code with your WeChat app to log in.
Once the bot is running, you can interact with it by sending messages to your WeChat account. The bot will respond based on the configured prompts and the OpenAI model's responses.
To stop the bot, press Ctrl+C in the terminal where it's running.
--- `1-34`: **Consider adding additional sections to enhance the README** The README provides essential information for setting up and running the WeChat chatbot. To make it more comprehensive and user-friendly, consider adding the following sections: 1. **License**: Specify the license under which this project is released. 2. **Contributing**: If you're open to contributions, provide guidelines on how others can contribute to the project. 3. **Troubleshooting**: Include common issues users might encounter and their solutions. 4. **Acknowledgements**: If applicable, acknowledge any third-party libraries or resources used in the project. Here's a suggested structure for these additional sections: ```markdown ## Troubleshooting If you encounter any issues, please check the following: 1. Ensure your OpenAI API key is correctly set in the `model_config`. 2. Check that your WeChat account has the necessary permissions for using itchat. 3. ... ## Contributing Contributions are welcome! Please feel free to submit a Pull Request. ## License This project is licensed under the [MIT License](LICENSE). ## Acknowledgements - [pne](https://github.com/pne-ai/pne) - Framework for building AI applications - [itchat](https://github.com/littlecodersh/ItChat) - WeChat API for Pythondocs/.vitepress/config.mts (1)
73-74: Approve with minor suggestions for improvementThe addition of the new navigation item for the WeChat chatbot guide is correct and consistent with the existing structure. However, I have a few minor suggestions to enhance it:
- Correct the capitalization of "WeChat" in the text.
- Consider capitalizing "ItChat" for better readability.
- You might want to consider alphabetical ordering of use cases for easier navigation.
Here's a suggested revision:
- { text: 'Build Wechat-bot with itchat', link: '/use_cases/wx-chatbot' }, + { text: 'Build WeChat-bot with ItChat', link: '/use_cases/wx-chatbot' },docs/use_cases/wx-chatbot.md (4)
5-21: Improve formatting and clarity in the prerequisites section.The prerequisites section is informative, but its readability can be enhanced:
- Use consistent formatting for the list of prerequisites. Consider using Markdown bullet points (
-) for all items.- Clarify the installation instructions. The
requirements.txtfile is mentioned without prior context. Consider adding a note about its location or content.Here's a suggested revision for the prerequisites list:
#### Prerequisites Before starting, ensure you have the following: - Python 3.x installed - Basic understanding of Python - A WeChat account - The following Python packages: - itchat - pne - promptulate You can install the necessary packages by running: ```bash pip install -r requirements.txtNote: Ensure that the
requirements.txtfile is in your project directory and contains the necessary package names.<details> <summary>🧰 Tools</summary> <details> <summary>🪛 Markdownlint</summary><blockquote> 5-5: Expected: h2; Actual: h4 Heading levels should only increment by one level at a time (MD001, heading-increment) </blockquote></details> </details> --- `23-35`: **Provide more information about the custom `chat_message` module.** The import section is clear and well-structured. However, it includes a custom module `chat_message` that may not be familiar to readers. Consider adding a brief explanation of the `chat_message` module's purpose and functionality. For example: ```markdown - `chat_message`: A custom module for handling chat messages. This module likely contains classes or functions for processing and formatting WeChat messages.This additional information will help readers understand the role of this custom module in the chatbot implementation.
159-179: Provide more context for thehotReloadparameter in thestartup()function.The
startup()function is well-implemented with proper error handling. However, thehotReloadparameter in theitchat.auto_login()call could benefit from more explanation.Consider adding a brief explanation of the
hotReloadparameter and its implications. For example:def startup(): try: itchat.auto_login( enableCmdQR=2, hotReload=False, # Set to True to avoid logging in every time qrCallback=qrCallback ) # ... rest of the function ...You could also add a note in the explanatory text:
Note: The `hotReload` parameter is set to `False` in this example. Setting it to `True` allows the bot to reuse the previous login session, avoiding the need to scan the QR code every time the script is run. However, this may have security implications, so use it cautiously.This additional information will help users understand the purpose and implications of the
hotReloadparameter.
207-228: Enhance the running instructions for better user guidance.The main loop and running instructions are clear and concise. However, providing more detailed steps could help users, especially beginners, to run the chatbot more effectively.
Consider expanding the running instructions with the following details:
### Running the Chatbot To run the bot: 1. Ensure all the code snippets from this tutorial are combined into a single Python file (e.g., `wx_chatbot.py`). 2. Set your OpenAI API key as an environment variable: ```bash export OPENAI_API_KEY='your-api-key-here'
- Run the script in your terminal:
python wx_chatbot.py- A QR code will be generated. Scan it with your WeChat app to log in.
- Once logged in, your bot will start receiving and responding to messages!
Note: Keep the terminal window open to keep the bot running. To stop the bot, press Ctrl+C in the terminal.
These detailed instructions will help users set up and run the chatbot more easily, reducing potential confusion or errors. </blockquote></details> </blockquote></details> <details> <summary>📜 Review details</summary> **Configuration used: CodeRabbit UI** **Review profile: CHILL** <details> <summary>📥 Commits</summary> Files that changed from the base of the PR and between d07b3392c45dbe251322e1a59051b0fa5c162c7d and 1f6ad5706191ed4ef517be9cd1d646bd846b4216. </details> <details> <summary>📒 Files selected for processing (4)</summary> * docs/.vitepress/config.mts (1 hunks) * docs/use_cases/wx-chatbot.md (1 hunks) * example/wx-chatbot/README.md (1 hunks) * example/wx-chatbot/requirements.txt (1 hunks) </details> <details> <summary>🧰 Additional context used</summary> <details> <summary>🪛 LanguageTool</summary><blockquote> <details> <summary>docs/use_cases/wx-chatbot.md</summary><blockquote> [grammar] ~126-~126: This phrase is duplicated. You should probably use “return None” only once. Context: ...} skipped: {}".format(msg["MsgId"], e)) return None return None This function: • Logs the message... (PHRASE_REPETITION) </blockquote></details> </blockquote></details> <details> <summary>🪛 Markdownlint</summary><blockquote> <details> <summary>docs/use_cases/wx-chatbot.md</summary><blockquote> 5-5: Expected: h2; Actual: h4 Heading levels should only increment by one level at a time (MD001, heading-increment) --- 92-92: Column: 6 Hard tabs (MD010, no-hard-tabs) --- 93-93: Column: 6 Hard tabs (MD010, no-hard-tabs) --- 94-94: Column: 6 Hard tabs (MD010, no-hard-tabs) --- 95-95: Column: 6 Hard tabs (MD010, no-hard-tabs) --- 96-96: Column: 6 Hard tabs (MD010, no-hard-tabs) --- 97-97: Column: 6 Hard tabs (MD010, no-hard-tabs) --- 98-98: Column: 6 Hard tabs (MD010, no-hard-tabs) --- 132-132: Column: 6 Hard tabs (MD010, no-hard-tabs) --- 133-133: Column: 6 Hard tabs (MD010, no-hard-tabs) --- 134-134: Column: 6 Hard tabs (MD010, no-hard-tabs) --- 142-142: null Bare URL used (MD034, no-bare-urls) --- 92-92: Expected: fenced; Actual: indented Code block style (MD046, code-block-style) --- 132-132: Expected: fenced; Actual: indented Code block style (MD046, code-block-style) --- 144-144: Expected: fenced; Actual: indented Code block style (MD046, code-block-style) </blockquote></details> </blockquote></details> </details> <details> <summary>🔇 Additional comments (2)</summary><blockquote> <details> <summary>example/wx-chatbot/requirements.txt (1)</summary><blockquote> `3-3`: **Clarify the purpose of the 'promotulate' dependency** The purpose of the 'promotulate' dependency is not immediately clear from the context of a WeChat chatbot. Could you provide more information about how 'promotulate' is used in this project? If it's not directly related to the WeChat chatbot functionality, consider if it's necessary for this specific example. To help verify the usage of 'promotulate', you can run the following script: This will help us understand how 'promotulate' is being used in the project. </blockquote></details> <details> <summary>docs/use_cases/wx-chatbot.md (1)</summary><blockquote> `1-228`: **Overall, a well-structured and informative tutorial with room for improvements.** This tutorial provides a comprehensive guide for building a WeChat chatbot using Pne and ItChat. It covers all the necessary steps from setup to implementation and running the bot. The explanations are clear, and the code snippets are generally well-written. However, there are several areas where the tutorial could be improved: 1. Enhance the formatting and clarity of the prerequisites section. 2. Provide more context for custom modules and objects used in the code. 3. Improve code maintainability by using configuration for hardcoded values. 4. Address security concerns, particularly regarding the API key usage. 5. Optimize class implementations and error handling. 6. Provide more detailed running instructions for better user guidance. Addressing these points will significantly enhance the quality and usefulness of this tutorial, making it more accessible to beginners and more valuable to experienced developers. <details> <summary>🧰 Tools</summary> <details> <summary>🪛 LanguageTool</summary><blockquote> [grammar] ~126-~126: This phrase is duplicated. You should probably use “return None” only once. Context: ...} skipped: {}".format(msg["MsgId"], e)) return None return None This function: • Logs the message... (PHRASE_REPETITION) </blockquote></details> <details> <summary>🪛 Markdownlint</summary><blockquote> 5-5: Expected: h2; Actual: h4 Heading levels should only increment by one level at a time (MD001, heading-increment) --- 92-92: Column: 6 Hard tabs (MD010, no-hard-tabs) --- 93-93: Column: 6 Hard tabs (MD010, no-hard-tabs) --- 94-94: Column: 6 Hard tabs (MD010, no-hard-tabs) --- 95-95: Column: 6 Hard tabs (MD010, no-hard-tabs) --- 96-96: Column: 6 Hard tabs (MD010, no-hard-tabs) --- 97-97: Column: 6 Hard tabs (MD010, no-hard-tabs) --- 98-98: Column: 6 Hard tabs (MD010, no-hard-tabs) --- 132-132: Column: 6 Hard tabs (MD010, no-hard-tabs) --- 133-133: Column: 6 Hard tabs (MD010, no-hard-tabs) --- 134-134: Column: 6 Hard tabs (MD010, no-hard-tabs) --- 142-142: null Bare URL used (MD034, no-bare-urls) --- 92-92: Expected: fenced; Actual: indented Code block style (MD046, code-block-style) --- 132-132: Expected: fenced; Actual: indented Code block style (MD046, code-block-style) --- 144-144: Expected: fenced; Actual: indented Code block style (MD046, code-block-style) </blockquote></details> </details> </blockquote></details> </blockquote></details> </details> <!-- This is an auto-generated comment by CodeRabbit for review status -->
| promotulate |
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Specify versions for new dependencies
It's a good practice to specify versions for all dependencies to ensure reproducibility and avoid potential compatibility issues in the future.
Consider updating the new dependencies with specific versions:
itchat-uos == 1.4.1
-pne
-promotulate
+pne == x.y.z
+promotulate == a.b.cReplace x.y.z and a.b.c with the appropriate version numbers you're currently using or testing with.
Committable suggestion was skipped due to low confidence.
| ### Step 2: Define the Message Handler | ||
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| We use itchat.msg_register to define how the bot will respond to text messages. This method registers the message handler for incoming messages: | ||
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| ```python | ||
| @itchat.msg_register([TEXT]) | ||
| def handler_single_msg(msg: Message): | ||
| try: | ||
| print("Get a new message: {}".format(msg.Content)) | ||
| handler.handle(chat_message.ReceiveMessage(msg)) | ||
| except NotImplementedError as e: | ||
| logger.debug("[WX] single message {} skipped: {}".format(msg["MsgId"], e)) | ||
| return None | ||
| return None | ||
| ``` |
There was a problem hiding this comment.
Refine the message handler function and provide context for the handler object.
The message handler section is informative, but there are a couple of points that could be improved:
- There's a duplicate
return Nonestatement at the end of the function. This is unnecessary and might confuse readers. - The
handlerobject is used in the function, but it's not defined or explained in this section.
To address these points:
- Remove the duplicate
return Nonestatement:
@itchat.msg_register([TEXT])
def handler_single_msg(msg: Message):
try:
print("Get a new message: {}".format(msg.Content))
handler.handle(chat_message.ReceiveMessage(msg))
except NotImplementedError as e:
logger.debug("[WX] single message {} skipped: {}".format(msg["MsgId"], e))
return None- Add a note explaining that the
handlerobject will be defined later in the tutorial:
Note: The `handler` object used in this function will be defined later in the "Define the AI Response Logic" section.These changes will improve the clarity and correctness of the code example.
| ### Step 3: Generate a QR Code for WeChat Login | ||
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| WeChat login requires scanning a QR code. Here, we provide several QR code generation options: | ||
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| ```python | ||
| def qrCallback(uuid, status, qrcode): | ||
| if status == "0": | ||
| url = f"https://login.weixin.qq.com/l/{uuid}" | ||
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| qr_api1 = "https://api.isoyu.com/qr/?m=1&e=L&p=20&url={}".format(url) | ||
| qr_api2 = ( | ||
| "https://api.qrserver.com/v1/create-qr-code/?size=400x400&data={}".format(url) | ||
| ) | ||
| qr_api3 = "https://api.pwmqr.com/qrcode/create/?url={}".format(url) | ||
| qr_api4 = "https://my.tv.sohu.com/user/a/wvideo/getQRCode.do?text={}".format(url) | ||
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| print("You can scan the QRCode on one of these websites:") | ||
| print(qr_api3) | ||
| print(qr_api4) | ||
| print(qr_api2) | ||
| print(qr_api1) | ||
| ``` |
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🛠️ Refactor suggestion
Enhance the QR code generation function for better maintainability and error handling.
The QR code generation function is functional, but it can be improved in terms of maintainability and robustness:
- The function currently uses hardcoded URLs for QR code generation services. This might make it difficult to update or maintain in the future.
- The function doesn't handle cases where the
statusis not "0".
Consider the following improvements:
- Use a configuration dictionary or list for the QR code service URLs:
QR_SERVICES = [
"https://api.pwmqr.com/qrcode/create/?url={}",
"https://my.tv.sohu.com/user/a/wvideo/getQRCode.do?text={}",
"https://api.qrserver.com/v1/create-qr-code/?size=400x400&data={}",
"https://api.isoyu.com/qr/?m=1&e=L&p=20&url={}"
]
def qrCallback(uuid, status, qrcode):
if status == "0":
url = f"https://login.weixin.qq.com/l/{uuid}"
print("You can scan the QRCode on one of these websites:")
for service_url in QR_SERVICES:
print(service_url.format(url))
else:
print(f"QR code generation failed with status: {status}")This approach makes it easier to add, remove, or modify QR code services in the future.
- Add error handling for cases where the status is not "0".
These changes will make the function more maintainable and robust.
| ### Step 5: Define the AI Response Logic | ||
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| Here’s where we leverage Pne to generate AI-driven responses using the GPT-3.5 model. When a message is received, Pne processes it and returns a response that is sent back to the user. | ||
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| ```python | ||
| class MessageHandler: | ||
| def __init__(self): | ||
| pass | ||
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| def handle(self, msg: chat_message.ReceiveMessage): | ||
| receiver = msg.FromUserName | ||
| response = pne.chat( | ||
| messages=msg.Content, | ||
| model="gpt-3.5-turbo", | ||
| model_config={ | ||
| "api_key": "sk-xxxxxx", # Replace with your API key | ||
| "base_url": "https://api.openai.com/v1", | ||
| }, | ||
| ) | ||
| itchat.send(response.result, toUserName=receiver) | ||
|
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| handler = MessageHandler() | ||
| ``` |
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Improve security and optimize the MessageHandler class.
The AI response logic is well-explained, but there are a couple of issues that need to be addressed:
- The API key is hardcoded in the
handlemethod, which is a significant security risk. - The
__init__method of theMessageHandlerclass is empty and might be unnecessary.
To address these issues:
- Remove the hardcoded API key and use environment variables instead:
import os
class MessageHandler:
def __init__(self):
self.api_key = os.environ.get('OPENAI_API_KEY')
if not self.api_key:
raise ValueError("OPENAI_API_KEY environment variable is not set")
def handle(self, msg: chat_message.ReceiveMessage):
receiver = msg.FromUserName
response = pne.chat(
messages=msg.Content,
model="gpt-3.5-turbo",
model_config={
"api_key": self.api_key,
"base_url": "https://api.openai.com/v1",
},
)
itchat.send(response.result, toUserName=receiver)
handler = MessageHandler()- Add a note in the tutorial about setting the environment variable:
Note: Before running the script, make sure to set your OpenAI API key as an environment variable:
```bash
export OPENAI_API_KEY='your-api-key-here'Never include API keys directly in your code, especially if you plan to share or publish it.
These changes will significantly improve the security of the chatbot implementation and provide a better structure for the `MessageHandler` class.
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Summary by CodeRabbit
New Features
Chores
pneandpromotulate.