test

[DhruvK1184]

No description provided.

[ankurlucknowi]

Summary of Recommendations:
The code diff reveals several issues, especially concerning security and best practices. Notably, there are potential security risks with hardcoded URLs, missing error handling in API calls, and potential inconsistencies and redundancy in .gitignore management. Additionally, opportunities exist for better abstraction and code structure in the React component.

Code Review Comments:

File Name - Around Line Number onSearchBtn function - [Category: Blocker]
Review Comment: The API endpoint URL is hardcoded in the onSearchBtn function, which exposes the API server's internal IP directly in the code. This can be a security risk if the code is exposed or misused.
Code to Improve:

const response = await axios.post("http://172.31.41.126:5173/api", {
  query,
});

Suggested Fix:
Create a configuration file to store environment-specific variables and access the API URL from that file. This approach prevents exposing sensitive endpoints directly in code.

const apiUrl = process.env.REACT_APP_API_URL || 'defaultApiUrl';
const response = await axios.post(`${apiUrl}/api`, { query });

File Name - Around Line Number onSearchBtn function - [Category: Major]
Review Comment: The catch block in the try-catch statement only logs the error but does not handle it adequately, which could lead to an unclear application state if an error occurs during API communication.
Code to Improve:

try {
  // existing try code...
} catch (error) {
  console.log(error);
}

Suggested Fix:
Enhance error handling to provide feedback to users and ensure the application can recover gracefully.

catch (error) {
  console.error("API error occurred: ", error);
  setMessages((prevMessages) => [...prevMessages, { sender: 'bot', text: "An error occurred. Please try again." }]);
}

File Name - Around Line Number .gitignore - [Category: Suggestions]
Review Comment: There are redundant and overlapping entries in the .gitignore file, specifically multiple listings of .env and log-related patterns. This redundancy could lead to confusion and misconfiguration.
Code to Improve:

.env
*.env
__pycache__/
*.log

Suggested Fix:
Consolidate overlapping and duplicate patterns to maintain clarity and avoid unnecessary file tracking.

# Environment files
.env*

# Log files
*.log
npm-debug.log*
yarn-debug.log*

File Name - Around Line Number App Component - [Category: Suggestions]
Review Comment: The current app structure has an opportunity to benefit from abstraction, particularly for repeated JSX rendering logic for messages and conditional UI components.
Code to Improve:

{messages.map((message, index) => (
  <div
    key={index}
    className={`message ${message.sender === 'user' ? 'user' : 'bot'}`}
  >
    <div className="message-text">{message.text}</div>
  </div>
))}

Suggested Fix:
Refactor repeated logic into separate components for improved readability and maintainability.

const Message = ({ text, sender }) => (
  <div className={`message ${sender}`}>
    <div className="message-text">{text}</div>
  </div>
);

{
  messages.map((message, index) => (
    <Message key={index} text={message.text} sender={message.sender} />
  ));
}

By addressing these points, the application can improve in terms of security, error handling, code clarity, and maintainability.
Summary of Recommendations:
The code contains a few issues related to security vulnerabilities, potential backward compatibility issues, and missed opportunities for code reuse. Specific attention should be paid to handling sensitive data securely, maintaining library compatibility, and optimizing the logic for efficiency and maintainability.

Code Review Comments:

File Name - Around Line Number 48 - [Category: Blocker]
Review Comment: The use of allow_dangerous_deserialization=True when loading the FAISS index poses a significant security risk by enabling the possibility for malicious data execution during deserialization.
Code to Improve:

faiss_store = FAISS.load_local(Index_path, embedding, allow_dangerous_deserialization=True)

Suggested Fix:
Consider setting allow_dangerous_deserialization=False and ensure that any serialized data is from a trusted source or properly validated before deserialization.

File Name - Around Line Number 61 - [Category: Major]
Review Comment: The code uses a potentially deprecated class OpenAIEmbeddings. This could lead to compatibility issues with future versions of the library.
Code to Improve:

embedding = OpenAIEmbeddings(openai_api_key=openai_api_key)

Suggested Fix:
Migrate to the suggested alternative from the langchain-openai package to ensure forward compatibility with newer versions of the library.

File Name - Around Line Number 85 - [Category: Suggestions]
Review Comment: The logic used to manage new_texts and new_metadatas in embedding_and_dumping_of_chunks() can be optimized to reduce redundancy and improve clarity.
Code to Improve:

for i, text in enumerate(texts):
    if str(i) not in existing_metadata:
        new_texts.append(text)
        new_metadatas.append(metadatas[i])

Suggested Fix:
Abstract the logic into a utility function that checks for the presence of text in the existing metadata, which can unify and simplify the list operations.

File Name - Around Line Number 135 - [Category: Suggestions]
Review Comment: The print_embeddings function is designed for debugging but could output sensitive data in production. Consider securing debug prints.
Code to Improve:

def print_embeddings(db):
    print("Stored Embeddings and Metadata:")
    # ...
    print("Metadata:", metadata)

Suggested Fix:
Use conditionals to restrict this functionality to a safe debugging environment only, or use a logging mechanism that can be configured to manage security levels.

File Name - Around Line Number 243 - [Category: Blocker]
Review Comment: There is a significant security risk associated with how the OpenAI API key is handled in production by loading it directly from the environment variables without any additional validation or obscuring measures.
Suggested Fix:
Consider using a configuration management solution that can encrypt and securely retrieve API keys, or use environment variables in conjunction with a secrets manager for enhanced security.

File Name - Around Line Number 316 - [Category: Major]
Review Comment: The script contains commented-out code that appears to be depreciated functionality or incomplete for posting JIRA comments. Leaving commented-out code can create confusion and clutter in the codebase.
Code to Improve:

# post_response = requests.post(
#     url = comment_api_endpoint,

Suggested Fix:
Remove this commented-out code if it's no longer needed or complete it to make it functional again with clear intent. If this is a placeholder, add a TODO comment instead.

File Name - Around Line Number 398 - [Category: Suggestions]
Review Comment: The correct_query function uses AI for basic spell-checking, which might not be the most efficient approach for high volume or real-time systems.
Code to Improve:

response = openai_client.chat.completions.create(
    model="gpt-3.5-turbo",
)

Suggested Fix:
Explore the use of local spell-checking libraries (e.g., pyspellchecker) that can perform basic grammatical corrections with less overhead, unless AI-based correction is specifically needed for nuanced text.

File Name - Around Line Number 512 - [Category: Blocker]
Review Comment: The use of direct requests.post calls when dealing with external services could lead to issues if the request fails or encounters retries. Error handling and network resilience are not addressed.
Code to Improve:

response = requests.post(url, headers=get_headers(), data=json.dumps(data))

Suggested Fix:
Implement error handling procedures such as try-except blocks and retry logic using robust libraries like tenacity to ensure network calls can gracefully handle failures and retries.

[ankurlucknowi]

Summary of Recommendations:
The provided code updates introduce several areas for improvement, including code duplication in .env files, unnecessary repetition in multiple .gitignore files, security risks with hardcoded URLs, and missed opportunities for code reuse and abstraction.

Code Review Comments:

File Name: .gitignore - Around Line Number 34 - [Major]
Review Comment: Duplicate entries for .env files exist. Multiple .gitignore files have .env listed, leading to redundancy. This should be addressed for file management consistency.
Code to Improve:

# Environment variables
.env
*.env
# Docker
*.env

Suggested Fix:
Consolidate the .env lines under a single section to avoid repetition. Ensure there is only one .env entry in the gitignore configuration.

File Name: App.jsx - Around Line Number 21 - [Blocker]
Review Comment: The URL for the Axios POST request is hardcoded. Using hardcoded IPs and URLs can lead to issues in different environments and pose security risks.
Code to Improve:

const response = await axios.post("http://172.31.41.126:5173/api", {
  query,
});

Suggested Fix:
Use environment variables to store URLs or any sensitive information. Refactor code to use configuration files or environment variables for the base URL.

const response = await axios.post(`${process.env.REACT_APP_API_URL}/api`, {
  query,
});

File Name: App.jsx - Around Line Number 38-42 - [Major]
Review Comment: The repeated setMessages logic inside the refinedResult.forEach loop can be encapsulated into a separate function to improve readability and maintainability.
Code to Improve:

refinedResult.forEach((item) => {
  setMessages((prevMessages) => [
    ...prevMessages,
    { sender: 'bot', text: item.refined_content },
  ]);
});

Suggested Fix:
Extract the message appending logic into a function.

const appendMessages = (sender, text) => {
  setMessages((prevMessages) => [...prevMessages, { sender, text }]);
};

refinedResult.forEach((item) => {
  appendMessages('bot', item.refined_content);
});

File Name: package.json - Around Line Number 12-15 - [Suggestions]
Review Comment: The version "^18.3.1" for react and react-dom may not be officially released. Ensure compatibility with community-supported React versions for stability and community support.
Code to Review:

"react": "^18.3.1",
"react-dom": "^18.3.1"

Suggested Fix:
Revisit these versions and consider using the latest stable release that is widely recognized and supported, such as "18.2.0" at the time of review.

Ensure your development process includes regular updates and compatibility checks for dependencies to maintain stability and community support.
Summary of Recommendations:
The provided code diff contains various issues including deprecated imports, potential security vulnerabilities, lack of error handling, opportunities for code reuse, and missing abstractions. Attention to updating deprecated libraries, ensuring secure data handling, and optimizing for efficiency is necessary.

Code Review Comments:

File Name: main.py - Around Line Number 7 - [Category: Blocker]
Review Comment: The import from langchain.docstore is deprecated in favor of langchain_community.docstore.in_memory. Continuing to use deprecated imports can lead to compatibility issues as the library updates.
Code to Improve:

from langchain.docstore.in_memory import InMemoryDocstore

Suggested Fix:

from langchain_community.docstore.in_memory import InMemoryDocstore

File Name: main.py - Around Line Number 46 - [Category: Blocker]
Review Comment: The OpenAIEmbeddings class from langchain_community.embeddings is deprecated and a new version is available in the langchain_openai package. It's important to update to avoid future integration issues.
Code to Improve:

embedding = OpenAIEmbeddings(openai_api_key=openai_api_key)

Suggested Fix:

from langchain_openai import OpenAIEmbeddings
embedding = OpenAIEmbeddings(api_key=openai_api_key)

File Name: main.py - Around Line Number 96 - [Category: Blocker]
Review Comment: The code contains print statements for debugging purposes. Leaving such output statements in production code can leak sensitive information and impact performance.
Code to Improve:

print("Lamda function invoked")

Suggested Fix:

# Consider using a logging library and remove or lower the logging level for production deployments.
import logging
logging.debug("Lambda function invoked")

File Name: main.py - Around Line Number 137 - [Category: Major]
Review Comment: The function post_review_comment simply returns the JSON response from the POST request, which might contain sensitive information when logged. Consider sanitizing or selectively logging data to prevent sensitive information leaks.
Code to Improve:

response = requests.post(url, headers=get_headers(), data=json.dumps(data))
print(response.json())

Suggested Fix:

# Log only necessary information and avoid sensitive details
safe_response_data = {
    "status_code": response.status_code,
    "body_excerpt": response.json().get("body", "")[:100]  # Log only a preview of the body
}
print(safe_response_data)

File Name: main.py - Around Line Number 78-105 - [Category: Suggestions]
Review Comment: The conditions in these lines could benefit from refactoring to avoid redundancy. Pattern matching or using a dictionary to handle batch processing could optimize the code.
Code to Improve:

if len(files) >= 10:
    num_batches = len(files) // 10
    batch_size = (len(files) + num_batches - 1) // num_batches
    batches = [files[i:i + batch_size] for i in range(0, len(files), batch_size)]
    for batch in batches:
        concatenated_patch = ''.join(file.get('patch', '') for file in batch)
        openai_review_concatenated = openai_review_concatenated + " \n" + generate_openai(get_context(concatenated_patch))
else:
    patch = get_patch_from_pr(pr_number, repo_name)
    context = get_context(patch)
    openai_review_concatenated = generate_openai(context)

Suggested Fix:

def process_files(files, pr_number, repo_name):
    if len(files) >= 10:
        # Process files in batches
        ...
    else:
        # Single processing
        ...

openai_review_concatenated = process_files(files, pr_number, repo_name)

File Name: main.py - Around Line Number 254-270 - [Category: Major]
Review Comment: The function that posts a review comment on a specific line is unused and commented out. If it's not intended for future use, it should be removed to keep the codebase clean.
Code to Improve:

# def post_review_comment_on_line(pr_number, repo_name, path, body, commit_id, side, diff_hunk, position):
#     ...

Suggested Fix:

# Remove unused code or uncomment it if it will be used for future development.

File Name: main.py - Around Line Number 10-15 - [Category: Suggestions]
Review Comment: The loading of environment variables is done at the top level, which could be abstracted into a function to improve code organization and readability.
Code to Improve:

load_dotenv()
openai_api_key = os.getenv("OPENAI_API_KEY")
jira_api_token = os.getenv('JIRA_API_TOKEN')
jira_email = os.getenv('JIRA_EMAIL_ID')

Suggested Fix:

def load_configuration():
    load_dotenv()
    config = {
        "openai_api_key": os.getenv("OPENAI_API_KEY"),
        "jira_api_token": os.getenv('JIRA_API_TOKEN'),
        "jira_email": os.getenv('JIRA_EMAIL_ID')
    }
    return config

config = load_configuration()
openai_client = OpenAI(api_key=config["openai_api_key"])

Addressing these issues will improve the maintainability, security, and efficiency of the codebase. Ensure testing against edge cases and proper error handling post changes to prevent unexpected behavior.

[ankurlucknowi]

Summary of Recommendations:
The code diff has a few areas that need attention, particularly related to security and performance. There are hardcoded API URLs that can lead to security risks, and certain CSS selectors could be optimized. Additionally, there are repetitive sections in the .gitignore that should be consolidated.

Code Review Comments:

File Name: App.js - Around Line Number 20 - [Category: Blocker]
Review Comment: Hardcoding URLs can lead to security vulnerabilities and make it difficult to change the environment (development, testing, production) later. If the server URL ever changes, you'd have to update it in multiple places, increasing the maintenance complexity.
Code to Improve:

const response = await axios.post("http://172.31.41.126:5173/api", {
  query,
});

Suggested Fix:
Consider storing the URL in an environment variable or a configuration file.

const apiUrl = process.env.REACT_APP_API_URL || "http://default-url.com";
const response = await axios.post(`${apiUrl}/api`, {
  query,
});

File Name: App.js - Around Line Number 33 - [Category: Suggestions]
Review Comment: The catch block should provide user feedback. Logging to the console is helpful for development but does not inform the user of an error.
Code to Improve:

catch (error) {
  console.log(error);
}

Suggested Fix:
Consider adding user feedback such as an alert or a toast notification.

catch (error) {
  console.log(error);
  alert('An error occurred while fetching data. Please try again later.');
}

File Name: App.css - Around Line Number 71 - [Category: Suggestions]
Review Comment: Consider using CSS variables for repeated color codes to maintain consistent styling and easier theme management in the future.
Code to Improve:

background-color: #007bff;
color: white;

Suggested Fix:
Define the colors at the top or in a separate theme file and use variable names for color properties:

:root {
  --primary-color: #007bff;
  --secondary-color: #0056b3;
  --text-color: white;
}
/* Use these variables wherever the colors are needed */

File Name: .gitignore - Around Line Numbers 1-34, 142-175 - [Category: Major]
Review Comment: Duplicate entries for some paths like .env and node_modules/ increase the risk of misconfigurations and make maintainability harder.
Code to Improve:
Duplicate .env, node_modules/ between two .gitignore files.
Suggested Fix:
Consolidate duplicate entries into one configuration unless directories are meant to be environment-specific.

File Name: eslintrc.js or equivalent configuration file - Around Line Number 12 - [Category: Suggestions]
Review Comment: The React version is hardcoded, which could lead to issues if the project updates React versions without updating this configuration.
Code to Improve:

settings: { react: { version: '18.3' } },

Suggested Fix:
Consider using a dynamic import for the version number.

settings: { react: { version: require('./package.json').dependencies.react } },

These improvements can enhance the security, performance, and maintainability of the application.
Summary of Recommendations:
The reviewed code has several areas needing attention, including the use of deprecated imports, potential security risks due to the lack of input validation and exception handling, the incorrect handling of sensitive information, and some opportunities for improvements in code organization and efficiency. These issues mostly fall within the Blocker and Major categories due to their potential impact on security, maintainability, and functionality.

Code Review Comments:

File Name: server/main.py - Around Line Number 7 - Category: Blocker
Review Comment: Deprecated import is being used, which could lead to compatibility issues in future versions of LangChain. Additionally, relying on deprecated components may pose security risks if they are no longer maintained.
Code to Improve:

from langchain.docstore.in_memory import InMemoryDocstore

Suggested Fix:

from langchain_community.docstore.in_memory import InMemoryDocstore

File Name: server/main.py - Around Line Number 46 - Category: Blocker
Review Comment: Usage of a deprecated OpenAIEmbeddings class from an older version of LangChain could pose compatibility issues and might lack critical updates, including potential security patches.
Code to Improve:

embedding = OpenAIEmbeddings(openai_api_key=openai_api_key)

Suggested Fix:

from langchain_openai import OpenAIEmbeddings
embedding = OpenAIEmbeddings(openai_api_key=openai_api_key)

File Name: server/main.py - Multiple Lines Across openAI_response function - Category: Blocker
Review Comment: The function handles untrusted user inputs (query) with the OpenAI API without validation or sanitization, which could lead to injection attacks or improper handling of user data.
Code to Improve:

def openAI_response(prompt):
    response = openai_client.chat.completions.create(
        model="gpt-3.5-turbo",
        messages=[{"role": "user", "content": prompt}],
        max_tokens=200,
        temperature=0.5
    )
    refined_result = response.choices[0].message.content.strip()
    return refined_results

Suggested Fix: Implement input validation and sanitization before making API calls, ensure proper exception handling, and consider using mechanisms to catch and log potential errors during API interactions.

File Name: server/main.py - Around Line Number 179 - Category: Major
Review Comment: Missing error handling for requests.get used in the get_jira_comment function, leading to potential application crashes or undefined behavior if the network call fails.
Code to Improve:

response = requests.get(
    api_endpoint,
    auth=HTTPBasicAuth(jira_email, jira_api_token),
    headers={"Accept": "application/json"}
)

Suggested Fix:

try:
    response = requests.get(
        api_endpoint,
        auth=HTTPBasicAuth(jira_email, jira_api_token),
        headers={"Accept": "application/json"}
    )
    response.raise_for_status()
except requests.exceptions.RequestException as e:
    return jsonify({"error": str(e)}), 500

File Name: server/main.py - Around Line Number 236 - Category: Major
Review Comment: The use of the allow_dangerous_deserialization parameter poses severe security risks in FAISS.load_local by potentially allowing arbitrary code execution through malicious payloads.
Code to Improve:

db = FAISS.load_local(index_path, embedding, allow_dangerous_deserialization=True)

Suggested Fix: Investigate and implement validation techniques to ensure the payload source is trusted, or find secure alternatives to handle the deserialization.

File Name: server/main.py - Multiple Lines Across the generate_openai and openai_review_comments functions - Category: Suggestions
Review Comment: The current approach constructs long strings and processes large data in-memory, which can be improved for performance and organization.
Suggested Fix: Utilize efficient data handling methods, like streaming results in smaller chunks or using generators to handle large patches and responses. This will make the application more scalable and responsive.

These improvements address key security vulnerabilities, enhance code maintainability, and ensure compatibility with future versions by replacing deprecated libraries and components.

[ankurlucknowi]

Summary of Recommendations:
The code has a few gaps in error handling, security issues, unnecessary duplications, and potential areas for abstraction and optimization. These issues include unhandled API response errors, possible Cross-Site Scripting vulnerabilities, redundant configurations, and potential performance improvements.

Code Review Comments:

File Name: App.js - Around Line Number 19 & 27 - [Category: Blocker]
Review Comment: The response from the axios.post request is not fully validated. Missing error handling could lead to application crashes or unexpected behaviors.
Code to Improve:

const response = await axios.post("http://172.31.41.126:5173/api", {
  query,
});
console.log(response.data);

Review Comment: There is no check to ensure response.data and response.data.refine_result are defined. This could cause a runtime error if the response structure changes or if the API request fails.
Suggested Fix:

const response = await axios.post("http://172.31.41.126:5173/api", {
  query,
});

if (response && response.data && Array.isArray(response.data.refine_result)) {
  const refinedResult = response.data.refine_result;
  refinedResult.forEach((item) => {
    setMessages((prevMessages) => [
      ...prevMessages,
      { sender: 'bot', text: item.refined_content },
    ]);
  });
} else {
  console.error('Invalid response structure:', response);
}

File Name: App.js - Around Line Number 29 - [Category: Major]
Review Comment: Storing messages in an array could lead to increased memory usage or performance issues. Consider using pagination or lazy loading for large datasets.
Code to Improve:

setMessages((prevMessages) => [
  ...prevMessages,
  { sender: 'bot', text: item.refined_content },
]);

Suggested Fix:
Consider implementing a mechanism to limit the size of the messages array, such as removing old messages after a certain limit is reached.

File Name: App.css - Around Line Number 47 - [Category: Suggestions]
Review Comment: Currently, the styles are included within the component scope which might cause issues if similar styles are repeated across other components. It’s better to centralize styling to maintain consistency and reuse.
Code to Improve:

.message.user .message-text {
  background-color: #007bff;
  color: white;
  text-align: right;
}

Suggested Fix:
Centralize shared styles in a global styles file (e.g., theme.css) to ensure consistency across different components.

File Name: .gitignore (Multiple Entries) - [Category: Major]
Review Comment: There are multiple *.env entries appearing twice in the .gitignore file. This is redundant and could lead to maintenance issues.
Code to Improve:

*.env

# Docker
*.env

Suggested Fix:

*.env

File Name: index.html - Around Line Number 10 - [Category: Suggestions]
Review Comment: The direct embedding of SVG images in HTML could lead to large HTML file sizes. It's better to load images as external files or utilize CSS for icons when appropriate.
Code to Improve:

<link rel="icon" type="image/svg+xml" href="/vite.svg" />

Suggested Fix:
Consider using external image files or font-based icons (e.g., FontAwesome, Material Icons) for performance and flexibility.
Summary of Recommendations:
The code contains vulnerabilities related to the deserialization process and deprecated libraries that need addressing to ensure security and maintainability. Unused code is present, which should be removed for clarity and efficiency. Suggestions also include code reuse and refinements to improve performance and readability.

Code Review Comments:

File Name: server/main.py - Around Line Number 32 - [Category: Blocker]
Review Comment: The allow_dangerous_deserialization=True flag in FAISS.load_local is risky and could lead to deserialization vulnerabilities, particularly if input data is tampered with.
Code to Improve:

faiss_store = FAISS.load_local(Index_path, embedding, allow_dangerous_deserialization=True)

Suggested Fix:
Remove the flag or ensure that the file cannot be tampered with by securing its origin and applying integrity checks:

faiss_store = FAISS.load_local(Index_path, embedding)
# Ensure origin security or integrity checks

File Name: server/main.py - Around Line Number 46 - [Category: Major]
Review Comment: The usage of OpenAIEmbeddings from langchain_community is deprecated, which may lead to future compatibility issues when the library is updated.
Code to Improve:

embedding = OpenAIEmbeddings(openai_api_key=openai_api_key)

Suggested Fix:
Follow the library’s recommendation to update the imports as specified in the deprecation warning, and verify compatibility:

from langchain_openai import OpenAIEmbeddings
embedding = OpenAIEmbeddings(api_key=openai_api_key)

File Name: server/main.py - Around Line Number 226 - [Category: Suggestions]
Review Comment: The pdfReader and chunk_docs functions appear to be tightly coupled with specific file operations. Consider abstracting these functionalities to enhance code reuse.
Suggested Fix:
Abstract file handling and document chunking into utility functions or classes, enabling easier testing and modular usage.

File Name: /home/ubuntu/Issue_Resolver/server/main.py - Around Line Numbers 7 and 46 [Category: Suggestions]
Review Comment: Multiple deprecation warnings present indicate a need to update several library imports as new versions become standard. Address them to stay up-to-date with library releases.
Code to Improve:

from langchain.docstore.in_memory import InMemoryDocstore  # Deprecated import line
from langchain_community import OpenAIEmbeddings  # Deprecated import line

Suggested Fix:
Update with the recommended import statements from the respective new versions:

from langchain_community.docstore.in_memory import InMemoryDocstore  # Updated import line
from langchain_openai import OpenAIEmbeddings  # Updated import line

File Name: server/main.py - Around Line Number 276 - [Category: Suggestions]
Review Comment: The print statements for debugging purposes should be either removed or replaced with a proper logging mechanism to monitor runtime behavior without cluttering output.
Code to Improve:

print("received_query", received_query)
print("query", query)

Suggested Fix:
Utilize the logging module for differentiated levels of log messages that can be turned on/off as needed:

import logging
logging.debug("received_query %s", received_query)
logging.debug("query %s", query)

File Name: server/main.py - Around Line Number 402 - [Category: Suggestions]
Review Comment: The commented-out code in sections handling HTTP requests using requests adds noise to the codebase. Keeping dead code can lead to confusion over active functions.
Code to Improve:

# post_response = requests.post(

Suggested Fix:
Remove the commented-out code or move it into a dedicated function to maintain clarity and separation of concerns.

File Name: server/main.py - Around Line Number 528 - [Category: Major]
Review Comment: extract_description_text function recursively extracts textual content. Limit the recursion depth or handle potential exceptions that might arise from deeply nested structures.
Suggested Fix:
Implement error handling for potential recursion depth issues and ensure fault tolerance through testing:

def extract_content(content, depth=0, max_depth=100):
    if depth > max_depth:
        raise RecursionError('Maximum recursion depth reached.')
    ...

Overall, it’s important these changes are made promptly to sustain the code’s reliability and security.