[Enhancement]: all these steps should be actually performed by agent - ### Step 1 .. and get results one by one. i had issue on the first step and have no idea how to push it back to fix.

[apstenku123]

Version

Command-line (Python) version

Suggestion

[Enhancement]: all these steps should be actually performed by agent - ### Step 1 .. and get results one by one. i had issue on the first step and have no idea how to push it back to fix.

microsoft autogen studio is better handling this by providing reports back but their approach is not working too good since they are sending the last error of big piece of code. in your case it would be better to generate unit tests for small pieces of code if you are breaking task by subtasks - it's not too complicate to break these to even smaller parts and test these one by one and for sure you can ask for all parameters and not request "update config.py row 4 by instruction" )))

Database tables created.
[Troubleshooter] Figuring out how to run the app ...

[Troubleshooter] Determining how to test the app ...

[Troubleshooter] Here are instructions on how to test the app:

Step 1

Action: Start the Flask server by running the following command in the terminal:

python app.py

Expected result: The server should start, and you should see a message indicating that the server is running on http://127.0.0.1:5001/.

Step 2

Action: Open your web browser and visit http://127.0.0.1:5001/.
Expected result: The server should be running, but you might see a "Not Found" page since the root route is not defined.

Step 3

Action: Open a new terminal window or tab and run the following cURL command to register a new user:

curl -X POST http://127.0.0.1:5001/register -H "Content-Type: application/json" -d '{"email": "[email protected]", "password": "password123"}'

Expected result: You should receive a JSON response with the message {"message": "User registered successfully"} and a status code of 201.

Step 4

Action: Open your PostgreSQL database client and check the users table for the newly registered user.
Expected result: You should see a new entry in the users table with the email [email protected], a hashed password, and default values for is_verified, search_limit, and remaining_searches.

If all these steps produce the expected results, the task has been completed successfully.

[Troubleshooter] Please check if the app is working
[continue]: Everything works (default)
[change]: I want to make a change
[bug]: There is an issue

(venv) (base) dave@DESKTOP-S0EPP1A:/gpt-pilot/workspace/abrvalg-682f5f2$ source ../../venv/bin/activate
(venv) (base) dave@DESKTOP-S0EPP1A:/gpt-pilot/workspace/abrvalg-682f5f2$ python app.py
Traceback (most recent call last):
File "/home/dave/gpt-pilot/workspace/abrvalg-682f5f2/app.py", line 10, in
from routes import register_blueprint
File "/home/dave/gpt-pilot/workspace/abrvalg-682f5f2/routes.py", line 3, in
from app import db
File "/home/dave/gpt-pilot/workspace/abrvalg-682f5f2/app.py", line 10, in
from routes import register_blueprint
ImportError: cannot import name 'register_blueprint' from partially initialized module 'routes' (most likely due to a circular import) (/home/dave/gpt-pilot
/workspace/abrvalg-682f5f2/routes.py)
(venv) (base) dave@DESKTOP-S0EPP1A:/gpt-pilot/workspace/abrvalg-682f5f2$
Please choose one of available options
[bug]: (venv) (base) dave@DESKTOP-S0EPP1A:/gpt-pilot/workspace/abrvalg-682f5f2$ source ../../venv/bin/activate
(venv) (base) dave@DESKTOP-S0EPP1A:/gpt-pilot/workspace/abrvalg-682f5f2$ python app.py
Traceback (most recent call last):
File "/home/dave/gpt-pilot/workspace/abrvalg-682f5f2/app.py", line 10, in
from routes import register_blueprint
File "/home/dave/gpt-pilot/workspace/abrvalg-682f5f2/routes.py", line 3, in
from app import db
File "/home/dave/gpt-pilot/workspace/abrvalg-682f5f2/app.py", line 10, in
from routes import register_blueprint
ImportError: cannot import name 'register_blueprint' from partially initialized module 'routes' (most likely due to a circular import) (/home/dave/gpt-pilot
/workspace/abrvalg-682f5f2/routes.py)
(venv) (base) dave@DESKTOP-S0EPP1A:/gpt-pilot/workspace/abrvalg-682f5f2$
Please choose one of available options
[bug]
Please choose one of available options
[bug]: There is an issue
Please choose one of available options
what are the options ?
Please choose one of available options
bug
[Troubleshooter] Please describe the issue you found (one at a time) and share any relevant server logs
[copy_server_logs]: Copy Server Logs
copy_server_logs
[Spec Writer] Making the following changes to project specification:

None

Updated project specification:

Online face search application with user registration, email verification, and admin panel to manage users. The application will be built using a Python backend and a React-based frontend. The backend will use Flask, and the database will be PostgreSQL. The frontend will be a single-page application (SPA) built with React.

Overall Description and Goals:
The main goal of the application is to allow users to search for faces by uploading an image. The application will compare the uploaded image with stored images using two embedding vectors (FaceNet and InsightFace) and return the most similar images. Users can register, verify their email, and have a limited number of searches. Admins can manage users through an admin panel.

Features of the Application:

1. User Registration and Email Verification
2. Image Upload and Face Search
3. User Profile with Search History
4. Admin Panel for User Management

Functional Specification:

User Registration and Email Verification:

• Users can register using their email and password.
• Upon registration, an email with a verification link is sent to the user.
• After clicking the verification link, the user is redirected to the login page.
• Verified users get a default limit of 5 searches.

Image Upload and Face Search:

• Users can upload an image via an upload form or drag and drop.
• The uploaded image is processed to extract face embeddings using FaceNet and InsightFace.
• The application searches for similar images in the database and returns the top results sorted by vector distance.
• Search results are displayed directly on the same page.

User Profile with Search History:

• Users can view their profile, which includes their email, current search limit, and remaining searches.
• Users can view their search history, which includes the names or web links to the searched images and the vectors.

Admin Panel for User Management:

• Admins can view all registered users and their status.
• Admins can change search limits, enable/disable users, and change user passwords.
• Admins are registered and managed via CLI on the server.

Technical Specification:

Backend:

• Framework: Flask
• Database: PostgreSQL
• Libraries: facenet-pytorch, insightface, SQLAlchemy, Flask-Mail
• Email Verification: Flask-Mail for sending verification emails

Frontend:

• Framework: React
• Libraries: Axios for API requests, React Router for navigation

Architecture:

1. Backend:

   • Flask application to handle API requests, user authentication, and image processing.
   • PostgreSQL database to store user data, image embeddings, and search history.
   • Flask-Mail for sending email verification links.
   • FaceNet and InsightFace models for extracting face embeddings.

2. Frontend:

   • React application to provide a single-page interface.
   • Axios for making API requests to the Flask backend.
   • React Router for navigation between different views (login, register, profile, admin panel).

Components:

Backend Components:

1. User Authentication:

   • Registration endpoint to create new users.
   • Email verification endpoint to verify user emails.
   • Login endpoint to authenticate users.

2. Image Processing:

   • Endpoint to upload images and process them to extract face embeddings.
   • Endpoint to search for similar images in the database.

3. User Management:

   • Endpoint for admins to view all users.
   • Endpoint for admins to change search limits, enable/disable users, and change passwords.

Frontend Components:

1. User Interface:

   • Registration form for new users.
   • Login form for existing users.
   • Profile page to display user information and search history.
   • Image upload form with drag and drop functionality.
   • Search results display on the same page.

2. Admin Interface:

   • Admin panel to view all users and their status.
   • Forms to change search limits, enable/disable users, and change passwords.

Integration Specification:

Email Verification:

• Use Flask-Mail to send verification emails.
• Verification link redirects to a specific endpoint in the Flask application.
• Upon verification, update the user's status in the database and redirect to the login page.

Face Embeddings:

• Use FaceNet and InsightFace models to extract face embeddings from uploaded images.
• Store the embeddings in the PostgreSQL database.
• Perform similarity search based on the embeddings and return the top results.