Respan Dataset Explorer

Assistant: 
User: User: Какой у вас вопрос или тема, о которой вы хотели бы поговорить? Я здесь, чтобы помочь!
Assistant: Какой у вас вопрос или тема, о которой вы хотели бы поговорить? Я здесь, чтобы помочь!
Assistant:
Assistant:

Здравствуйте! О чём бы вы хотели поговорить или задать вопрос? Я здесь, чтобы помочь вам.

Assistant: 
User: System: You are in a role play game. The following roles are available:
                Admin: Call this Agent if:
        You need guidance.
        The program is not working as expected.
        You need api key
        DO NOT CALL THIS AGENT IF:
        You need to execute the code.
Executor: Call this Agent if:   
        You need to execute the code written by the developer.  
        You need to execute the last script.  
        You have an import issue.  
        DO NOT CALL THIS AGENT IF:  
        You need to modify code
Quality_assurance: You are an AI Quality Assurance. Follow these instructions:
      1. Double check the plan, 
      2. if there's a bug or error suggest a resolution
      3. If the task is not solved, analyze the problem, revisit your assumption, collect additional info you need, and think of a different approach.
      4. ОБЯЗАТЕЛЬНО ГОВОРИ НА РУССКОМ.
                Read the following conversation.
                Then select the next role from ['Admin', 'Executor', 'Quality_assurance'] to play. Only return the role.
User: Разработка по TDD. Напишите функцию для вычисления чисел Фибоначи.
User: Вот план для разработки функции, вычисляющей числа Фибоначчи с использованием подхода TDD (разработка через тестирование):

### Шаг 1: Определение требований
- **Ответственный:** Planner
- **Задача:** Определить, как должна работать функция de Fibonacci. Например, функция debe recibir un número entero n y devolver el n-ésimo número de Fibonacci.

### Шаг 2: Escribir pruebas
- **Responsable:** Developer
- **Tarea:** Escribir pruebas unitarias que verifiquen el comportamiento esperado de la función. Las pruebas deben incluir casos como:
  - Fibonacci(0) debe devolver 0.
  - Fibonacci(1) debe devolver 1.
  - Fibonacci(5) debe devolver 5.
  - Fibonacci(10) debe devolver 55.

### Шаг 3: Реализация функции
- **Ответственный:** Developer
- **Задача:** Написать код функции, которая вычисляет числа Фибоначчи на основе требований и тестов, написанных на предыдущем шаге.

### Шаг 4: Выполнение тестов
- **Ответственный:** Executor
- **Задача:** Запустить тесты, чтобы убедиться, что функция работает правильно и все тесты проходят.

### Шаг 5: Проверка качества
- **Ответственный:** Quality_assurance
- **Задача:** Проверить, что код соответствует стандартам качества, и если есть ошибки, предложить решения. Если тесты не проходят, проанализировать проблему и предложить другой подход.

Этот план поможет вам разработать функцию для вычисления чисел Фибоначчи с использованием TDD.
User: Aquí tienes el código para implementar la función que calcula los números de Fibonacci, junto con las pruebas unitarias correspondientes. Primero, asegúrate de instalar `pytest` para ejecutar las pruebas.

```bash
pip install pytest
```

Ahora, aquí está el código de la función y las pruebas:

```python
# fibonacci.py

def fibonacci(n):
    if n < 0:
        raise ValueError("Input should be a non-negative integer.")
    elif n == 0:
        return 0
    elif n == 1:
        return 1
    else:
        a, b = 0, 1
        for _ in range(2, n + 1):
            a, b = b, a + b
        return b
```

```python
# test_fibonacci.py

import pytest
from fibonacci import fibonacci

def test_fibonacci():
    assert fibonacci(0) == 0
    assert fibonacci(1) == 1
    assert fibonacci(5) == 5
    assert fibonacci(10) == 55

def test_fibonacci_negative():
    with pytest.raises(ValueError):
        fibonacci(-1)
```

Para ejecutar las pruebas, utiliza el siguiente comando en la terminal:

```bash
pytest test_fibonacci.py
```

Este código implementa la función de Fibonacci y las pruebas unitarias necesarias. Asegúrate de ejecutar las pruebas y verifica que todo funcione correctamente. Si hay algún error, revisa el código y ajusta según sea necesario.
User: exitcode: 1 (execution failed)
Code output: 

User: Parece que has encontrado un error de ejecución con un código de salida 1. Esto generalmente indica que algo salió mal durante la ejecución de tu programa. Para poder ayudarte mejor, necesitaría un poco más de información. ¿Podrías compartir el código que estás intentando ejecutar o describir el contexto en el que ocurrió el error? Estoy aquí para ayudarte a resolverlo. 😊
System: Read the above conversation. Then select the next role from ['Admin', 'Executor', 'Quality_assurance'] to play. Only return the role.
Assistant:
Assistant:

Quality_assurance

Assistant: 
User: System: You are an AI Quality Assurance. Follow these instructions:
      1. Double check the plan, 
      2. if there's a bug or error suggest a resolution
      3. If the task is not solved, analyze the problem, revisit your assumption, collect additional info you need, and think of a different approach.
      4. ОБЯЗАТЕЛЬНО ГОВОРИ НА РУССКОМ
User: Hello everyone. We have assembled a great team today to answer questions and solve tasks. In attendance are:

Admin: Call this Agent if:
        You need guidance.
        The program is not working as expected.
        You need api key
        DO NOT CALL THIS AGENT IF:
        You need to execute the code.
Developer: Call this Agent if:   
        You need to write code.                  
        DO NOT CALL THIS AGENT IF:  
        You need to execute the code.
Planner: Call this Agent if:   
        You need to build a plan.                  
        DO NOT CALL THIS AGENT IF:  
        You need to execute the code.
Executor: Call this Agent if:   
        You need to execute the code written by the developer.  
        You need to execute the last script.  
        You have an import issue.  
        DO NOT CALL THIS AGENT IF:  
        You need to modify code
Quality_assurance: You are an AI Quality Assurance. Follow these instructions:
      1. Double check the plan, 
      2. if there's a bug or error suggest a resolution
      3. If the task is not solved, analyze the problem, revisit your assumption, collect additional info you need, and think of a different approach.
      4. ОБЯЗАТЕЛЬНО ГОВОРИ НА РУССКОМ
User: Разработка по TDD. Напишите функцию для вычисления чисел Фибоначи.
User: Вот план для разработки функции, вычисляющей числа Фибоначчи с использованием подхода TDD (разработка через тестирование):

### Шаг 1: Определение требований
- **Ответственный:** Planner
- **Задача:** Определить, как должна работать функция de Fibonacci. Например, функция debe recibir un número entero n y devolver el n-ésimo número de Fibonacci.

### Шаг 2: Escribir pruebas
- **Responsable:** Developer
- **Tarea:** Escribir pruebas unitarias que verifiquen el comportamiento esperado de la función. Las pruebas deben incluir casos como:
  - Fibonacci(0) debe devolver 0.
  - Fibonacci(1) debe devolver 1.
  - Fibonacci(5) debe devolver 5.
  - Fibonacci(10) debe devolver 55.

### Шаг 3: Реализация функции
- **Ответственный:** Developer
- **Задача:** Написать код функции, которая вычисляет числа Фибоначчи на основе требований и тестов, написанных на предыдущем шаге.

### Шаг 4: Выполнение тестов
- **Ответственный:** Executor
- **Задача:** Запустить тесты, чтобы убедиться, что функция работает правильно и все тесты проходят.

### Шаг 5: Проверка качества
- **Ответственный:** Quality_assurance
- **Задача:** Проверить, что код соответствует стандартам качества, и если есть ошибки, предложить решения. Если тесты не проходят, проанализировать проблему и предложить другой подход.

Этот план поможет вам разработать функцию для вычисления чисел Фибоначчи с использованием TDD.
User: Aquí tienes el código para implementar la función que calcula los números de Fibonacci, junto con las pruebas unitarias correspondientes. Primero, asegúrate de instalar `pytest` para ejecutar las pruebas.

```bash
pip install pytest
```

Ahora, aquí está el código de la función y las pruebas:

```python
# fibonacci.py

def fibonacci(n):
    if n < 0:
        raise ValueError("Input should be a non-negative integer.")
    elif n == 0:
        return 0
    elif n == 1:
        return 1
    else:
        a, b = 0, 1
        for _ in range(2, n + 1):
            a, b = b, a + b
        return b
```

```python
# test_fibonacci.py

import pytest
from fibonacci import fibonacci

def test_fibonacci():
    assert fibonacci(0) == 0
    assert fibonacci(1) == 1
    assert fibonacci(5) == 5
    assert fibonacci(10) == 55

def test_fibonacci_negative():
    with pytest.raises(ValueError):
        fibonacci(-1)
```

Para ejecutar las pruebas, utiliza el siguiente comando en la terminal:

```bash
pytest test_fibonacci.py
```

Este código implementa la función de Fibonacci y las pruebas unitarias necesarias. Asegúrate de ejecutar las pruebas y verifica que todo funcione correctamente. Si hay algún error, revisa el código y ajusta según sea necesario.
User: exitcode: 1 (execution failed)
Code output: 

User: Parece que has encontrado un error de ejecución con un código de salida 1. Esto generalmente indica que algo salió mal durante la ejecución de tu programa. Para poder ayudarte mejor, necesitaría un poco más de información. ¿Podrías compartir el código que estás intentando ejecutar o describir el contexto en el que ocurrió el error? Estoy aquí para ayudarte a resolverlo. 😊
Assistant:
Assistant:

Поскольку у нас есть план для написания функции, вычисляющей числа Фибоначчи, и код этой функции с тестами, давайте проверим, где может быть ошибка. 

1. **Проверка установки**: Убедитесь, что `pytest` установлен корректно. Вы можете выполнить `pip show pytest` в терминале, чтобы убедиться, что он действительно установлен. Если нет, выполните `pip install pytest`.

2. **Проверка структуры проекта**: Убедитесь, что структура файлов правильная. Файлы `fibonacci.py` и `test_fibonacci.py` должны находиться в одной папке.

3. **Исправить код и запустить тесты**:
    - Перейдите в папку, где находятся файлы через терминал.
    - Запустите команду `pytest test_fibonacci.py`.

4. **Проверка вывода ошибок**: Если во время выполнения тестов возникают ошибки, `pytest` должен предоставить подробное сообщение об ошибке. Найдите первую ошибку в выводе и внимательно прочитайте описание.

Если после выполнения всех этих шагов проблема не решается, пожалуйста, предоставьте текст ошибки или любые другие детали проблемы. Это поможет более точно определить, в чем проблема, и предложить решение.

Assistant: 
User: User: Пожалуйста, продолжай на русском языке.
Assistant: Пожалуйста, продолжай на русском языке.
Assistant:
Assistant:

Конечно! Как я могу вам помочь?

Assistant: 
User: User: Пожалуйста, продолжай на русском языке.
Assistant: Пожалуйста, продолжай на русском языке.
Assistant:
Assistant:

Конечно! О чём вы хотели бы поговорить?

Assistant: 
User: User: Конечно! О чём вы хотели бы поговорить?
Assistant: Конечно! О чём вы хотели бы поговорить?
Assistant:
Assistant:

Привет! Давайте я помогу. О какой теме вы хотите побеседовать?

Assistant: 
User: User: Пожалуйста, продолжай на русском языке.
Assistant: Пожалуйста, продолжай на русском языке.
Assistant:
Assistant:

Конечно, я продолжу на русском языке. Как я могу помочь вам сегодня?

You are a senior developer and we are going to build a Todo application, which let the users to manage Todos, collaborate in teams and gather multiple Teams under a project to met a common goal.
Below is the detailed PRD which you have to follow strictly.
* Most Important": You are not going to create everything in a single go, but we will do it on conversational style, step by step, one feature at a time and then we will move forward to the next feature, you must have to follow these instructions strictly till to the end of this chat.

Here's is the detailed PRD:
# FocusFlow Product Requirements Document (PRD)

## 1. Introduction

### 1.1 Purpose
The purpose of this PRD is to outline the requirements for the development of FocusFlow, a comprehensive todo platform designed to help users manage personal tasks, collaborate within teams, and oversee projects involving multiple teams. This document provides detailed information to guide developers in building the application to meet the specified functionalities and goals.

### 1.2 Background
FocusFlow aims to simplify task management by providing an integrated platform that combines personal todos, team collaboration, and project oversight. By leveraging Google OAuth2 for authentication and providing an intuitive interface, FocusFlow seeks to enhance productivity and streamline workflows for individuals and organizations.

### 1.3 Scope
This document covers the core functionalities, technical specifications, database models, API endpoints, implementation guidelines, and other critical aspects necessary for developing FocusFlow. It serves as a comprehensive guide for developers to understand the application's requirements and to ensure consistency throughout the development process.

## 2. Goals and Objectives
- Provide a seamless task management experience for individual users.
- Enable efficient team collaboration through team creation and management features.
- Facilitate project oversight by allowing project creation, team assignments, and project management roles.
- Ensure secure authentication and authorization using industry standards (Google OAuth2 and JWT).
- Offer an intuitive user interface that enhances usability and user engagement.
- Provide analytics and dashboards to give users insights into their tasks, teams, and projects.

## 3. Core Functionalities

### 3.1 User Authentication

#### Google OAuth2 Integration:
- Users can sign up and log in using their Google accounts.
- On successful authentication, user details are stored in the local database.

#### JWT Tokens for Authorization:
- After authentication, users receive JWT tokens valid for 14 days.
- Tokens are used to authorize API requests.

### 3.2 Todo Management

#### Create, Edit, and Delete Todos:
- Users can create personal todos.
- Users can edit or delete their own todos.

#### View and Filter Todos:
- Users can view a list of their todos.
- Filtering options:
  - By teams.
  - By projects.
  - By status (pending, in progress, completed).

### 3.3 Team Management

#### Create Teams:
- Users can create teams for collaboration.
- The creator becomes the "Team Leader."

#### Manage Team Members:
- Team Leaders can add or remove team members.

#### Assign Todos to Teams:
- Teams can have multiple todos assigned to them.

### 3.4 Project Management

#### Create Projects:
- Users can create projects to group multiple teams.
- The creator becomes the "Project Owner."

#### Assign Teams to Projects:
- Project Managers can add teams to projects.

#### Designate Project Managers:
- Project Owners can assign a "Project Manager" role to another user.

### 3.5 User Profile Management

#### View and Edit Profile Information:
- Users can view and update their name and profile picture.

### 3.6 Analytics Dashboard

#### Overview of Todos, Teams, and Projects:
- Users can access a dashboard displaying their activities.

#### Progress Analytics:
- Visualization of task completion rates and other key metrics.

## 4. Database Modeling

### 4.1 User Model

#### Fields:
- id: Primary key.
- email: Unique email address (from Google OAuth2).
- name: User's name (from Google OAuth2).
- profile_picture: URL to the user's profile picture (from Google OAuth2).
- created_at, updated_at: Timestamps.

#### Relationships:
- todos: Todos created by the user.
- teams: Teams the user is a member of.
- owned_teams: Teams where the user is the leader.
- owned_projects: Projects where the user is the owner.
- managed_projects: Projects where the user is the manager.

### 4.2 Todo Model

#### Fields:
- id: Primary key.
- title: Title of the todo.
- description: Detailed description.
- status: Status of the todo (pending, in_progress, completed).
- user_id: Foreign key to the creator (User).
- team_id: Foreign key to the associated team (nullable).
- created_at, updated_at: Timestamps.

#### Relationships:
- owner: The user who created the todo.
- team: Associated team (if any).

### 4.3 Team Model

#### Fields:
- id: Primary key.
- name: Name of the team.
- team_leader_id: Foreign key to the team leader (User).
- created_at, updated_at: Timestamps.

#### Relationships:
- team_leader: The user who leads the team.
- members: Users who are members of the team.
- todos: Todos assigned to the team.
- projects: Projects the team is part of.

### 4.4 TeamMembership Model

#### Fields:
- id: Primary key.
- user_id, team_id: Foreign keys to User and Team.
- created_at: Timestamp.

#### Constraints:
- Unique constraint on user_id and team_id to prevent duplicate memberships.

#### Relationships:
- user: The user in the membership.
- team: The team in the membership.

### 4.5 Project Model

#### Fields:
- id: Primary key.
- name: Name of the project.
- description: Project description.
- project_owner_id: Foreign key to the project owner (User).
- project_manager_id: Foreign key to the project manager (User), nullable.
- created_at, updated_at: Timestamps.

#### Relationships:
- project_owner: The user who owns the project.
- project_manager: The user who manages the project.
- teams: Teams associated with the project.

### 4.6 ProjectTeam Model

#### Fields:
- id: Primary key.
- project_id, team_id: Foreign keys to Project and Team.
- added_at: Timestamp.

#### Constraints:
- Unique constraint on project_id and team_id.

#### Relationships:
- project: The project in the association.
- team: The team in the association.

### 4.7 Considerations

#### Role Management:
- Roles like "Team Leader" and "Project Manager" are attributes within the Team and Project models.

#### Permissions:
- Use middleware or dependency injections in FastAPI to enforce permissions based on roles.

#### Data Validation:
- Utilize Pydantic models to ensure data conforms to the expected schema.

#### Timestamps:
- created_at and updated_at fields help track changes.

## 5. Technical Specifications

### 5.1 Backend

#### Technologies & Frameworks
- Programming Language: Python 3.10 or higher.
- Framework: FastAPI (latest version) with asynchronous capabilities.
- Database: PostgreSQL with SQLAlchemy ORM.
- Data Modeling: Pydantic models for data validation.
- Authentication: Google OAuth2 using oauthlib or similar libraries.
- Authorization: JWT tokens with PyJWT, expiring after 14 days.
- Migrations: Alembic for database migrations.

#### Authentication and Authorization

##### Google OAuth2
- Integration with Google's OAuth2 API for user authentication.
- User Details Storage: On successful authentication, store user details in the local database.
- JWT Token Exchange: Exchange the Google OAuth2 token for a local JWT token.

##### JWT Tokens
- Library: Use PyJWT to generate and validate JWT tokens.
- Token Payload:
  - Include user ID and expiration.
  - Expiration: Set token expiration to 14 days.

##### Role-Based Access Control (RBAC)
- Roles:
  - Regular User
  - Team Leader
  - Project Manager
  - Project Owner
- Access Control:
  - Implement decorators or middleware to enforce access control on protected endpoints.

### 5.2 Frontend

#### Technologies & Frameworks
- Framework: Next.js 14
- Styling: Tailwind CSS
- UI Components: shadcn/ui
- State Management: React Query

#### Interface Design
- Responsive Design: Ensure the application is responsive across devices.
- User Experience:
  - Intuitive navigation.
  - Clear call-to-action buttons.
  - Consistent styling and theming.

## 5. Directory Structure

### 5.1 Main Project Directory

.
├── backend/
└── frontends/
    └── web/


### 5.2 Backend Directory Structure

Instructions:
- Use the least number of files and directories while maintaining code clarity.
- Group related functionalities logically.

Structure:

.
├── backend/
    ├── app/
        ├── __init__.py                    # Package initialization
        ├── main.py                        # FastAPI app instance and routing
        ├── models.py                      # SQLAlchemy models
        ├── schemas.py                     # Pydantic schemas
        ├── routes.py                      # API route definitions
        ├── utils.py                       # Utilities (auth, JWT, etc.)
        ├── db.py                          # Database setup and session
        ├── config.py                      # Configuration settings
    ├── requirements.txt                   # Python dependencies
    ├── alembic/                           # Migrations
    ├── alembic.ini                        # Alembic configuration
    ├── .env                               # Environment variables
    └── README.md                          # Backend documentation


Descriptions:
- main.py:
  - Initializes the FastAPI application.
  - Includes middleware and exception handlers.
  - Imports and includes routes from routes.py.
- models.py:
  - Contains all SQLAlchemy models defining the database structure and relationships.
- schemas.py:
  - Contains Pydantic models for request and response validation.
- routes.py:
  - Defines all API endpoints, grouped logically:
    - Authentication Routes: Google OAuth2, JWT handling.
    - User Routes: Profile retrieval and update.
    - Todo Routes: CRUD operations for todos.
    - Team Routes: CRUD operations for teams and team member management.
    - Project Routes: CRUD operations for projects and team assignments.
- utils.py:
  - Helper functions and utilities:
    - Authentication Utilities: JWT token generation and validation.
    - OAuth2 Configuration: Setup for Google OAuth2 client.
    - Miscellaneous Utilities: Additional helper functions (e.g., input sanitization).
- db.py:
  - Database configuration:
    - Engine and Session Setup: Create asynchronous database engine and session maker.
    - Dependency Injection: Provide database session to routes.
- config.py:
  - Configuration management using environment variables.
- alembic/:
  - Directory for database migration scripts.

### 5.3 Web-Based Frontend Directory Structure

Instructions:
- Minimize the number of files and directories without compromising code readability.
- Consolidate files where appropriate.

Structure:

.
frontends/
└── web/
    ├── app/
        ├── layout.js                     # Root layout and global components
        ├── page.js                       # Home page with "Login with Google"
        ├── dashboard/
            └── page.js                   # Dashboard page
        ├── todos/
            └── page.js                   # Todos page
        ├── teams/
            └── page.js                   # Teams page
        ├── projects/
            └── page.js                   # Projects page
        ├── profile/
            └── page.js                   # Profile page
    ├── components/
        ├── index.js                      # Central export for all components
        ├── Layout/
            ├── Navbar.js                 # Navigation bar
            ├── Sidebar.js                # Sidebar for navigation
            ├── Footer.js                 # Footer component
        ├── Dashboard/
            ├── OverviewCard.js           # Overview components
            ├── AnalyticsChart.js         # Analytics chart component
        ├── Todos/
            ├── TodoList.js               # List of todos
            ├── TodoItem.js               # Individual todo display
            ├── TodoFilters.js            # Filtering options
        ├── Teams/
            ├── TeamList.js               # List of teams
            ├── TeamItem.js               # Individual team display
        ├── Projects/
            ├── ProjectList.js            # List of projects
            ├── ProjectItem.js            # Individual project display
    ├── utils/
        ├── api.js                        # API interaction functions
        ├── auth.js                       # Authentication utilities
    ├── context/
        ├── AuthContext.js                # Authentication context provider
    ├── public/
        ├── logo.png                      # Platform logo
    ├── styles/
        ├── globals.css                   # Global styles (Tailwind CSS)
    ├── .env.local                        # Environment variables
    ├── next.config.js                    # Next.js configuration
    ├── tailwind.config.js                # Tailwind CSS configuration
    ├── postcss.config.js                 # PostCSS configuration
    ├── package.json                      # Project dependencies and scripts
    └── README.md                         # Frontend documentation


Descriptions:
- app/:
  - Utilizes Next.js App Router.
  - Each directory under app/ corresponds to a route in the application.
  - layout.js: Contains root layout, including Navbar and Footer.
  - page.js: The home page with a "Login with Google" button.
  - Subdirectories like dashboard/, todos/, contain their respective page.js.
- components/:
  - Reusable components organized by functionality.
  - index.js: Exports all components for easy import.
  - Layout/: Components related to layout structure.
  - Dashboard/, Todos/, Teams/, Projects/: Components specific to each feature.
- utils/:
  - api.js: Functions to interact with backend APIs (GET, POST, PUT, DELETE requests).
  - auth.js: Functions to handle authentication, token storage, and OAuth flows.
- context/:
  - AuthContext.js: Provides authentication state and functions throughout the app.
- styles/:
  - globals.css: Global CSS styles and Tailwind directives.
- public/:
  - Contains static assets like images and icons.




## 6. API Endpoints

### 6.1 Google OAuth2 Authentication

#### 6.1.1 Initiate Authentication
- Endpoint: GET /auth/google/login
- Description: Redirects the user to Google's OAuth2 consent screen to initiate the authentication process.

#### 6.1.2 Handle OAuth2 Callback
- Endpoint: GET /auth/google/callback
- Description:
  - Handles the callback from Google after user authentication.
  - Retrieves the authorization code and exchanges it for tokens.
  - Creates or updates the user in the database.
  - Generates a JWT token with a 14-day expiry.

### 6.2 User Profile Endpoints

#### 1. Get Current User Profile
- Endpoint: GET /users/me
- Description: Retrieves the profile of the authenticated user.
- Permissions: Authenticated users.
- Response:
  - User data including id, email, name, profile_picture.

#### 2. Update Current User Profile
- Endpoint: PUT /users/me
- Description: Updates the profile information of the authenticated user.
- Permissions: Authenticated users.
- Request Body:
  - name: Optional.
  - profile_picture: Optional.
- Response:
  - Updated user data.

### 6.3 Todo Endpoints

#### 1. Create a New Todo
- Endpoint: POST /todos
- Description: Creates a new todo item.
- Permissions: Authenticated users.
- Request Body:
  - title: Required.
  - description: Optional.
  - status: Optional (pending by default).
  - team_id: Optional (if associating with a team).
- Business Logic:
  - If team_id is provided, verify that the user is a member of the team.
- Response:
  - Details of the created todo item.

#### 2. Get Todos with Filtering
- Endpoint: GET /todos
- Description: Retrieves a list of todos for the authenticated user.
- Permissions: Authenticated users.
- Query Parameters:
  - status: Optional (e.g., pending, completed).
  - team_id: Optional.
  - project_id: Optional.
- Business Logic:
  - Filter todos based on the provided parameters.
  - If team_id is provided, include todos associated with that team (if the user is a member).
  - If project_id is provided, include todos from teams within the project (if the user is a member of those teams).
- Response:
  - List of todos.

#### 3. Get a Specific Todo
- Endpoint: GET /todos/{todo_id}
- Description: Retrieves details of a specific todo.
- Permissions: Authenticated users who own the todo or are members of the associated team.
- Response:
  - Todo details.

#### 4. Update a Todo
- Endpoint: PUT /todos/{todo_id}
- Description: Updates an existing todo.
- Permissions: Authenticated users who own the todo.
- Request Body:
  - title: Optional.
  - description: Optional.
  - status: Optional.
- Response:
  - Updated todo item.

#### 5. Delete a Todo
- Endpoint: DELETE /todos/{todo_id}
- Description: Deletes a todo.
- Permissions: Authenticated users who own the todo.
- Response:
  - Confirmation of deletion.

### 6.4 Team Endpoints

#### 1. Create a Team
- Endpoint: POST /teams
- Description: Creates a new team.
- Permissions: Authenticated users.
- Request Body:
  - name: Required.
- Business Logic:
  - The authenticated user becomes the "Team Leader".
- Response:
  - Details of the created team.

#### 2. Get Teams
- Endpoint: GET /teams
- Description: Retrieves a list of teams the user is a member of.
- Permissions: Authenticated users.
- Response:
  - List of teams.

#### 3. Get a Specific Team
- Endpoint: GET /teams/{team_id}
- Description: Retrieves details of a specific team.
- Permissions: Authenticated users who are members of the team.
- Response:
  - Team details.

#### 4. Update a Team
- Endpoint: PUT /teams/{team_id}
- Description: Updates a team's information.
- Permissions: Team Leader.
- Request Body:
  - name: Optional.
- Response:
  - Updated team details.

#### 5. Delete a Team
- Endpoint: DELETE /teams/{team_id}
- Description: Deletes a team.
- Permissions: Team Leader.
- Business Logic:
  - Ensure all associated todos are handled (e.g., set their team_id to NULL or delete them).
- Response:
  - Confirmation of deletion.

#### 6. Manage Team Members

##### Add a Member
- Endpoint: POST /teams/{team_id}/members
- Description: Adds a user to the team.
- Permissions: Team Leader.
- Request Body:
  - user_email: Email of the user to add.
- Business Logic:
  - Verify the user exists.
- Response:
  - Confirmation of addition.

##### Remove a Member
- Endpoint: DELETE /teams/{team_id}/members/{user_id}
- Description: Removes a user from the team.
- Permissions: Team Leader.
- Business Logic:
  - Ensure the team doesn't lose all members unintentionally.
- Response:
  - Confirmation of removal.

#### 7. Get Team Todos
- Endpoint: GET /teams/{team_id}/todos
- Description: Retrieves todos associated with the team.
- Permissions: Team members.
- Response:
  - List of team todos.

### 6.5 Project Endpoints

#### 1. Create a Project
- Endpoint: POST /projects
- Description: Creates a new project.
- Permissions: Authenticated users.
- Request Body:
  - name: Required.
  - description: Optional.
- Business Logic:
  - The authenticated user becomes the "Project Owner".
- Response:
  - Details of the created project.

#### 2. Get Projects
- Endpoint: GET /projects
- Description: Retrieves projects the user is associated with (owned or managed).
- Permissions: Authenticated users.
- Response:
  - List of projects.

#### 3. Get a Specific Project
- Endpoint: GET /projects/{project_id}
- Description: Retrieves details of a specific project.
- Permissions: Project Owner, Project Manager, or members of associated teams.
- Response:
  - Project details.

#### 4. Update a Project
- Endpoint: PUT /projects/{project_id}
- Description: Updates a project's information.
- Permissions: Project Owner.
- Request Body:
  - name: Optional.
  - description: Optional.
- Response:
  - Updated project details.

#### 5. Delete a Project
- Endpoint: DELETE /projects/{project_id}
- Description: Deletes a project.
- Permissions: Project Owner.
- Business Logic:
  - Handle associations with teams (e.g., remove all teams from the project).
- Response:
  - Confirmation of deletion.

#### 6. Assign Project Manager
- Endpoint: POST /projects/{project_id}/manager
- Description: Assigns a project manager.
- Permissions: Project Owner.
- Request Body:
  - user_id: ID of the user to assign.
- Business Logic:
  - Verify the user exists.
- Response:
  - Confirmation of assignment.

#### 7. Manage Project Teams

##### Add a Team to Project
- Endpoint: POST /projects/{project_id}/teams
- Description: Adds a team to the project.
- Permissions: Project Manager.
- Request Body:
  - team_id: ID of the team to add.
- Business Logic:
  - Verify the team exists.
- Response:
  - Confirmation of addition.

##### Remove a Team from Project
- Endpoint: DELETE /projects/{project_id}/teams/{team_id}
- Description: Removes a team from the project.
- Permissions: Project Manager.
- Business Logic:
  - Handle any dependencies.
- Response:
  - Confirmation of removal.

#### 8. Get Project Todos
- Endpoint: GET /projects/{project_id}/todos
- Description: Retrieves all todos across teams under the project.
- Permissions: Project Manager.
- Response:
  - List of project todos.

### 6.6 Additional Considerations

#### Pagination:
- Implement pagination for endpoints returning lists to handle large data sets.

#### Filtering and Sorting:
- Allow query parameters to filter and sort the results.

#### Error Handling:
- Return appropriate HTTP status codes and error messages.
  - 401 Unauthorized: For authentication failures.
  - 403 Forbidden: When a user lacks permissions.
  - 404 Not Found: If a resource doesn't exist.
  - 400 Bad Request: For validation errors.

#### Security:
- Implement HTTPS for secure communication.
- Sanitize inputs to prevent SQL injection.

### 6.7 Dependency Injection for Permissions
- Utilize FastAPI's dependency injection to enforce permissions at the endpoint level.
- Implement reusable dependencies for checking roles and permissions.

## 7. Implementation Guidelines

### 7.1 Development Practices

#### Code Style:
- Python: Follow PEP 8 guidelines.
- JavaScript/TypeScript: Use ESLint for linting.

#### Configuration Management:
- Use environment variables for configuration (e.g., database credentials, API keys).
- Ensure that sensitive information is not hard-coded.


------ lets start with the backend first and try to implement authentication part which is:
mentioned under ### 5.1 Backend => #### Authentication and Authorization and its related model can be find in ## 4. Database Modeling => ### 4.1 User Model

Great! Let's begin implementing the **Authentication and Authorization** feature of the FocusFlow backend using FastAPI. We'll proceed step-by-step, ensuring each part is well-explained and aligns with the provided PRD.

## Step 1: Setting Up the Backend Directory Structure

Based on the PRD, your backend directory should look like this:

```
backend/
├── app/
│   ├── __init__.py
│   ├── main.py
│   ├── models.py
│   ├── schemas.py
│   ├── routes.py
│   ├── utils.py
│   ├── db.py
│   ├── config.py
├── requirements.txt
├── alembic/
├── alembic.ini
├── .env
└── README.md
```

### 1.1 Create the Directory Structure

First, create the necessary directories and files:

```bash
mkdir -p backend/app
cd backend
touch app/__init__.py app/main.py app/models.py app/schemas.py app/routes.py app/utils.py app/db.py app/config.py
touch requirements.txt alembic.ini .env README.md
mkdir alembic
```

## Step 2: Defining Dependencies

### 2.1 `requirements.txt`

Populate `requirements.txt` with the necessary Python packages:

```plaintext
fastapi
uvicorn[standard]
SQLAlchemy
asyncpg
alembic
pydantic
python-dotenv
authlib
PyJWT
passlib
```

### 2.2 Install Dependencies

Create a virtual environment and install the dependencies:

```bash
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
```

## Step 3: Configuration Management

### 3.1 `.env` File

Create a `.env` file in the `backend/` directory to store environment variables securely. **Ensure this file is added to `.gitignore` to prevent sensitive information from being exposed.**

```dotenv
# .env
DATABASE_URL=postgresql+asyncpg://user:password@localhost/focusflow
SECRET_KEY=your_jwt_secret_key
GOOGLE_CLIENT_ID=your_google_client_id
GOOGLE_CLIENT_SECRET=your_google_client_secret
GOOGLE_REDIRECT_URI=http://localhost:8000/auth/google/callback
```

**Note:** Replace `user`, `password`, `your_jwt_secret_key`, `your_google_client_id`, and `your_google_client_secret` with your actual credentials.

### 3.2 `config.py`

Create a configuration file to load and manage environment variables.

```python
# backend/app/config.py

from pydantic import BaseSettings

class Settings(BaseSettings):
    DATABASE_URL: str
    SECRET_KEY: str
    GOOGLE_CLIENT_ID: str
    GOOGLE_CLIENT_SECRET: str
    GOOGLE_REDIRECT_URI: str

    class Config:
        env_file = ".env"

settings = Settings()
```

## Step 4: Database Setup

### 4.1 `db.py`

Set up the asynchronous database connection using SQLAlchemy and `asyncpg`.

```python
# backend/app/db.py

from sqlalchemy.ext.asyncio import AsyncEngine, AsyncSession, create_async_engine
from sqlalchemy.orm import sessionmaker
from .config import settings

DATABASE_URL = settings.DATABASE_URL

engine: AsyncEngine = create_async_engine(DATABASE_URL, echo=True)

async_session = sessionmaker(
    engine, expire_on_commit=False, class_=AsyncSession
)

async def get_db():
    async with async_session() as session:
        yield session
```

### 4.2 Initializing Alembic for Migrations

Initialize Alembic to handle database migrations.

```bash
cd backend
alembic init alembic
```

#### 4.2.1 Configure Alembic

Edit `alembic.ini` to use the `DATABASE_URL` from `config.py`. Replace the `sqlalchemy.url` with a dynamic value.

```ini
# backend/alembic.ini

[alembic]
# ...

sqlalchemy.url = driver://user:pass@localhost/dbname
```

Change it to read from `env.py`:

```python
# backend/alembic/env.py

import asyncio
from logging.config import fileConfig
from sqlalchemy import engine_from_config
from sqlalchemy import pool
from sqlalchemy.ext.asyncio import AsyncEngine
from alembic import context
from app.models import Base  # Import your SQLAlchemy models
from app.config import settings

# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config = context.config

# Interpret the config file for Python logging.
# This line sets up loggers basically.
fileConfig(config.config_file_name)

# add your model's MetaData object here
# for 'autogenerate' support
target_metadata = Base.metadata

# other values from the config, defined by the needs of env.py,
# can be acquired:
# my_important_option = config.get_main_option("my_important_option")
# ... etc.


def run_migrations_offline():
    """Run migrations in 'offline' mode."""
    url = settings.DATABASE_URL
    context.configure(
        url=url,
        target_metadata=target_metadata,
        literal_binds=True,
        dialect_opts={"paramstyle": "named"},
    )

    with context.begin_transaction():
        context.run_migrations()


def do_run_migrations(connection):
    context.configure(connection=connection, target_metadata=target_metadata)

    with context.begin_transaction():
        context.run_migrations()


async def run_migrations_online():
    """Run migrations in 'online' mode."""
    connectable = AsyncEngine(
        engine_from_config(
            config.get_section(config.config_ini_section),
            prefix="sqlalchemy.",
            url=settings.DATABASE_URL,
            poolclass=pool.NullPool,
            future=True,
        )
    )

    async with connectable.connect() as connection:
        await connection.run_sync(do_run_migrations)

    await connectable.dispose()


if context.is_offline_mode():
    run_migrations_offline()
else:
    asyncio.run(run_migrations_online())
```

#### 4.2.2 Create the Base Model

In `models.py`, define a base class for your models using SQLAlchemy’s `declarative_base`.

```python
# backend/app/models.py

from sqlalchemy.ext.declarative import declarative_base

Base = declarative_base()
```

**We'll extend this in the next step by adding the `User` model.**

## Step 5: Defining the User Model

### 5.1 `models.py`

Define the `User` model as per the PRD.

```python
# backend/app/models.py

from sqlalchemy import Column, Integer, String, DateTime
from sqlalchemy.sql import func
from sqlalchemy.orm import relationship
from .db import Base

class User(Base):
    __tablename__ = 'users'

    id = Column(Integer, primary_key=True, index=True)
    email = Column(String, unique=True, index=True, nullable=False)
    name = Column(String, nullable=False)
    profile_picture = Column(String, nullable=True)
    created_at = Column(DateTime(timezone=True), server_default=func.now())
    updated_at = Column(DateTime(timezone=True), onupdate=func.now())

    todos = relationship("Todo", back_populates="owner")
    teams = relationship("TeamMembership", back_populates="user")
    owned_teams = relationship("Team", back_populates="team_leader")
    owned_projects = relationship("Project", back_populates="project_owner")
    managed_projects = relationship("Project", back_populates="project_manager")

# Placeholder for other models like Todo, Team, etc.
# They will be defined in subsequent steps.
```

**Explanation:**

- `id`: Primary key.
- `email`: Unique email address obtained from Google OAuth2.
- `name`: User’s name from Google OAuth2.
- `profile_picture`: URL to the user’s profile picture from Google OAuth2.
- `created_at` & `updated_at`: Timestamps.
- Relationships:
  - `todos`: Todos created by the user.
  - `teams`: Teams the user is a member of via `TeamMembership`.
  - `owned_teams`: Teams the user leads.
  - `owned_projects`: Projects the user owns.
  - `managed_projects`: Projects the user manages.

### 5.2 `schemas.py`

Define Pydantic schemas for the `User` model.

```python
# backend/app/schemas.py

from pydantic import BaseModel, EmailStr
from typing import Optional
from datetime import datetime

class UserBase(BaseModel):
    email: EmailStr
    name: str
    profile_picture: Optional[str] = None

class UserCreate(UserBase):
    pass  # In this case, user creation is handled via OAuth2

class UserRead(UserBase):
    id: int
    created_at: datetime
    updated_at: Optional[datetime] = None

    class Config:
        orm_mode = True
```

**Explanation:**

- `UserBase`: Base schema with common fields.
- `UserCreate`: Schema for creating a user (though creation is handled via OAuth2).
- `UserRead`: Schema for reading user details, including `id` and timestamps.

## Step 6: Utility Functions for Authentication

### 6.1 `utils.py`

Implement utility functions for JWT token generation and verification.

```python
# backend/app/utils.py

import jwt
from datetime import datetime, timedelta
from typing import Optional
from .config import settings
from .models import User

SECRET_KEY = settings.SECRET_KEY
ALGORITHM = "HS256"
ACCESS_TOKEN_EXPIRE_DAYS = 14

def create_access_token(data: dict, expires_delta: Optional[timedelta] = None):
    to_encode = data.copy()
    if expires_delta:
        expire = datetime.utcnow() + expires_delta
    else:
        expire = datetime.utcnow() + timedelta(days=ACCESS_TOKEN_EXPIRE_DAYS)
    to_encode.update({"exp": expire})
    encoded_jwt = jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM)
    return encoded_jwt

def decode_access_token(token: str):
    try:
        payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
        return payload
    except jwt.ExpiredSignatureError:
        return None
    except jwt.JWTError:
        return None

# Additional utility functions can be added here, such as user retrieval, role checks, etc.
```

**Explanation:**

- `create_access_token`: Generates a JWT token with an expiration of 14 days.
- `decode_access_token`: Decodes and verifies a JWT token.

### 6.2 Authentication Dependency

Create a dependency to extract and verify the JWT token from the request headers.

```python
# backend/app/utils.py (continued)

from fastapi import Depends, HTTPException, status
from fastapi.security import OAuth2PasswordBearer
from sqlalchemy.ext.asyncio import AsyncSession
from .db import get_db
from .models import User

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")

async def get_current_user(token: str = Depends(oauth2_scheme), db: AsyncSession = Depends(get_db)) -> User:
    payload = decode_access_token(token)
    if payload is None:
        raise HTTPException(
            status_code=status.HTTP_401_UNAUTHORIZED,
            detail="Invalid or expired token",
            headers={"WWW-Authenticate": "Bearer"},
        )
    user_id: int = payload.get("user_id")
    if user_id is None:
        raise HTTPException(
            status_code=status.HTTP_401_UNAUTHORIZED,
            detail="Invalid token payload",
            headers={"WWW-Authenticate": "Bearer"},
        )
    user = await db.get(User, user_id)
    if user is None:
        raise HTTPException(
            status_code=status.HTTP_401_UNAUTHORIZED,
            detail="User not found",
            headers={"WWW-Authenticate": "Bearer"},
        )
    return user
```

**Explanation:**

- `get_current_user`: Dependency that retrieves the current user based on the JWT token provided in the `Authorization` header.

## Step 7: Implementing Google OAuth2 Authentication Routes

We'll use `Authlib` to handle the OAuth2 flow with Google.

### 7.1 Setting Up Google OAuth2

#### 7.1.1 Install Authlib

Ensure `authlib` is installed (already added to `requirements.txt`).

```bash
pip install Authlib
```

#### 7.1.2 `routes.py`

Implement the OAuth2 routes for initiating authentication and handling the callback.

```python
# backend/app/routes.py

from fastapi import APIRouter, Depends, HTTPException, status, Request
from fastapi.responses import RedirectResponse, JSONResponse
from authlib.integrations.starlette_client import OAuth
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.future import select
from uuid import uuid4

from .config import settings
from .db import get_db
from .models import User
from .utils import create_access_token

router = APIRouter()

# Initialize OAuth
oauth = OAuth()
CONF_URL = 'https://accounts.google.com/.well-known/openid-configuration'
oauth.register(
    name='google',
    server_metadata_url=CONF_URL,
    client_id=settings.GOOGLE_CLIENT_ID,
    client_secret=settings.GOOGLE_CLIENT_SECRET,
    client_kwargs={
        'scope': 'openid email profile'
    }
)

@router.get("/auth/google/login")
async def google_login(request: Request):
    redirect_uri = settings.GOOGLE_REDIRECT_URI
    return await oauth.google.authorize_redirect(request, redirect_uri)

@router.get("/auth/google/callback")
async def google_callback(request: Request, db: AsyncSession = Depends(get_db)):
    try:
        token = await oauth.google.authorize_access_token(request)
    except Exception as e:
        raise HTTPException(status_code=400, detail="Authorization failed")

    user_info = token.get('userinfo')
    if not user_info:
        raise HTTPException(status_code=400, detail="Failed to retrieve user info")

    email = user_info.get('email')
    name = user_info.get('name')
    picture = user_info.get('picture')

    if not email or not name:
        raise HTTPException(status_code=400, detail="Incomplete user info received")

    # Check if user exists
    result = await db.execute(select(User).where(User.email == email))
    user = result.scalar_one_or_none()

    if not user:
        # Create new user
        user = User(
            email=email,
            name=name,
            profile_picture=picture
        )
        db.add(user)
        await db.commit()
        await db.refresh(user)
    else:
        # Optionally update user info
        user.name = name
        user.profile_picture = picture
        db.add(user)
        await db.commit()
        await db.refresh(user)

    # Create JWT token
    access_token = create_access_token(data={"user_id": user.id})

    # For simplicity, return the token as JSON
    # In a real application, you might redirect and set a cookie or handle it on the frontend
    return JSONResponse({"access_token": access_token, "token_type": "bearer"})
```

**Explanation:**

- **Initialization:**
  - Uses `Authlib` to register Google as the OAuth2 provider.
  - `authorize_redirect`: Redirects the user to Google’s OAuth2 consent screen.
  - `authorize_access_token`: Exchanges the authorization code for tokens.

- **Routes:**
  - `/auth/google/login`: Initiates the OAuth2 login flow by redirecting the user to Google.
  - `/auth/google/callback`: Handles the OAuth2 callback, retrieves user info, creates or updates the user in the database, and returns a JWT token.

**Security Note:** In a production environment, consider using secure cookies or other secure methods to handle tokens instead of returning them directly in the response.

### 7.2 Including the Router in `main.py`

```python
# backend/app/main.py

from fastapi import FastAPI
from .routes import router as auth_router
from .db import engine
from .models import Base
import asyncio

app = FastAPI()

# Include the authentication router
app.include_router(auth_router)

# Create database tables
@app.on_event("startup")
async def startup():
    async with engine.begin() as conn:
        await conn.run_sync(Base.metadata.create_all)
```

**Explanation:**

- Initializes the FastAPI app.
- Includes the authentication routes.
- On startup, it creates the database tables based on the models.

**Alternative:** Use Alembic for migrations instead of `create_all`. For now, we include it for simplicity.

## Step 8: Running the Application

### 8.1 Apply Migrations

Generate the initial migration script and apply it to create the `users` table.

```bash
alembic revision --autogenerate -m "Create users table"
alembic upgrade head
```

**Note:** Ensure that `target_metadata` in `alembic/env.py` includes all your models. Currently, it only includes `User`. As you add more models, Alembic will detect changes for future migrations.

### 8.2 Start the FastAPI Server

Run the server using Uvicorn.

```bash
uvicorn app.main:app --reload --host 0.0.0.0 --port 8000
```

### 8.3 Testing the Authentication Flow

1. **Initiate Login:**
   Navigate to `http://localhost:8000/auth/google/login` in your browser. This should redirect you to Google's OAuth2 consent screen.

2. **Handle Callback:**
   After successful authentication, Google will redirect to `http://localhost:8000/auth/google/callback` with the JWT token in the response.

3. **Receive JWT:**
   The response will contain a JSON object with the `access_token`. For example:

   ```json
   {
     "access_token": "your_jwt_token_here",
     "token_type": "bearer"
   }
   ```

4. **Access Protected Routes:**
   Use the `access_token` in the `Authorization` header to access protected endpoints. For example:

   ```http
   GET /users/me
   Authorization: Bearer your_jwt_token_here
   ```

## Step 9: Implementing User Profile Endpoints

### 9.1 Add User Profile Routes to `routes.py`

```python
# backend/app/routes.py (continued)

from fastapi import Depends
from .utils import get_current_user
from .schemas import UserRead

@router.get("/users/me", response_model=UserRead)
async def read_users_me(current_user: User = Depends(get_current_user)):
    return current_user
```

**Explanation:**

- **Endpoint:** `GET /users/me`
- **Functionality:** Retrieves the profile of the authenticated user.
- **Permissions:** Requires a valid JWT token.
- **Response:** Returns user details as per the `UserRead` schema.

### 9.2 Updating User Profile

To allow users to update their profile (name and profile picture), add the following route:

```python
# backend/app/routes.py (continued)

from .schemas import UserBase
from pydantic import BaseModel

class UserUpdate(BaseModel):
    name: Optional[str] = None
    profile_picture: Optional[str] = None

@router.put("/users/me", response_model=UserRead)
async def update_user_profile(
    user_update: UserUpdate,
    current_user: User = Depends(get_current_user),
    db: AsyncSession = Depends(get_db)
):
    if user_update.name is not None:
        current_user.name = user_update.name
    if user_update.profile_picture is not None:
        current_user.profile_picture = user_update.profile_picture
    
    db.add(current_user)
    await db.commit()
    await db.refresh(current_user)
    return current_user
```

**Explanation:**

- **Endpoint:** `PUT /users/me`
- **Functionality:** Updates the authenticated user's name and/or profile picture.
- **Permissions:** Requires a valid JWT token.
- **Request Body:** Accepts `name` and `profile_picture` as optional fields.
- **Response:** Returns the updated user details.

## Step 10: Securing the Application

### 10.1 Middleware for HTTPS Redirection (Optional)

For production environments, ensure all traffic uses HTTPS. This can be enforced using middleware or server configurations (e.g., Nginx).

### 10.2 Protecting Sensitive Endpoints

Ensure all sensitive endpoints require authentication by using the `Depends(get_current_user)` dependency.

## Step 11: Final `main.py` with All Routes

```python
# backend/app/main.py

from fastapi import FastAPI
from .routes import router as auth_router
from .db import engine
from .models import Base
import asyncio

app = FastAPI(title="FocusFlow Backend")

# Include the authentication and user routes
app.include_router(auth_router)

# Create database tables (if not using Alembic)
@app.on_event("startup")
async def startup():
    async with engine.begin() as conn:
        await conn.run_sync(Base.metadata.create_all)
```

## Summary

We have successfully implemented the **User Authentication** part of the FocusFlow backend, including:

1. **Database Setup:** Configured the asynchronous PostgreSQL connection using SQLAlchemy and `asyncpg`.
2. **User Model:** Defined the `User` model with necessary fields and relationships.
3. **Google OAuth2 Integration:** Set up OAuth2 routes to allow users to authenticate using their Google accounts.
4. **JWT Token Generation:** Created JWT tokens upon successful authentication.
5. **Protected Routes:** Implemented endpoints to retrieve and update user profiles, protected by JWT authentication.

### Next Steps

After completing authentication, we can proceed to implement other core functionalities step-by-step, such as:

1. **Todo Management:** CRUD operations for personal todos.
2. **Team Management:** Creating teams, managing team members, and assigning todos to teams.
3. **Project Management:** Creating projects, assigning teams, and managing project roles.
4. **Analytics Dashboard:** Providing insights into tasks, teams, and projects.

Feel free to indicate which feature you'd like to tackle next!

Assistant: 
User: User: Конечно! Как я могу помочь вам сегодня?
Assistant: Конечно! Как я могу помочь вам сегодня?
Assistant:
Assistant:

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Assistant: 
User: User: Здравствуйте! Чем я могу вам помочь сегодня?
Assistant: Здравствуйте! Чем я могу вам помочь сегодня?
Assistant:
Assistant:

Здравствуйте! Если у вас есть вопросы или нужна помощь, пожалуйста, дайте мне знать, и я постараюсь вам помочь.