# Technical documentation for gitjet/gitjet.ru at commit 448c71f59c6e8e79e6f9d6f3d1d9690d86e732ec

---
repo: gitjet/gitjet.ru
branch: main
commit: 448c71f59c6e8e79e6f9d6f3d1d9690d86e732ec
doc_type: technical
---

## Architecture overview

The GitJet repository appears to be a web application built using Python and Flask. The main components of the application are as follows:

- **Frontend:** The frontend is built using HTML, CSS, and JavaScript. It uses Bootstrap for styling and jQuery for interactivity.
- **Backend:** The backend is implemented in Python using the Flask framework. It communicates with a database to store user data and retrieve information about repositories.

## Component diagram

```mermaid
flowchart LR
    A[Frontend] --> B[Flask Backend]
    B --> C[Database]
```

## Use cases

The following are the main use cases for the GitJet application:

1. **Search repositories:** Users can search for repositories based on keywords or filters. This is triggered by a REST API endpoint `/search`. The components involved in this use case are the frontend, backend, and database.
2. **View repository details:** Users can view detailed information about a specific repository, including its name, description, stars, forks, and contributors. This is triggered by a REST API endpoint `/repository/{id}`. The components involved in this use case are the frontend, backend, and database.
3. **View user profile:** Users can view their own profile or other users' profiles. this is triggered by a REST API endpoint `/user/{username}`. The components involved in this use case are the frontend, backend, and database.

## Sequence diagrams

```mermaid
sequenceDiagram
    participant U as User
    participant F as Frontend
    participant B as Backend
    participant D as Database

    U->>F: Search repositories (keyword)
    F->>B: Send request to /search endpoint
    B->>D: Query database for repositories
    D-->>B: Return results
    B-->>F: Send results back to frontend
    F-->>U: Display search results

    U->>F: View repository details (id)
    F->>B: Send request to /repository/{id} endpoint
    B->>D: Query database for repository information
    D-->>B: Return results
    B-->>F: Send results back to frontend
    F-->>U: Display repository details

    U->>F: View user profile (username)
    F->>B: Send request to /user/{username} endpoint
    B->>D: Query database for user information
    D-->>B: Return results
    B-->>F: Send results back to frontend
    F-->>U: Display user profile
```

## Data and persistence

The application uses a SQLite database to store user data, repository information, and search history. The database schema is as follows:

- **User:** id (integer, primary key), username (string), email (string), password_hash (string)
- **Repository:** id (integer, primary key), name (string), description (text), stars (integer), forks (integer), owner_id (integer, foreign key to User.id)

## Observability and operations

The application does not have any built-in observability or logging features. However, it can be configured to log important events such as database queries, API requests, and errors using a popular logging library like Python's `logging` module.

## Security surface (auth, secrets touchpoints — factual only)

The application uses basic HTTP authentication for user login. The password is hashed using the `bcrypt` algorithm before being stored in the database. The application does not use any third-party libraries or services for managing user sessions or tokens.

In terms of security touchpoints, the following are relevant:

- **Authentication:** Basic HTTP authentication is used to protect sensitive routes such as `/search`, `/repository/{id}`, and `/user/{username}`.
- **Password hashing:** The passwords are hashed using the `bcrypt` algorithm before being stored in the database. This provides a layer of security against plaintext passwords.

[end]