add mkdocs

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Alexander Kalinovsky
2025-03-01 00:57:31 +07:00
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<style>
h1 { display: none; }
</style>
<p align="center">
<a href="https://qbot.botforge.biz"><img src="img/qbot.svg" alt="QBot"></a>
</p>
<p align="center">
<em>Telegram Bots Rapid Application Development (RAD) Framework.</em>
</p>
**QBot** is a library for fast development of Telegram bots and mini-apps following the **RAD (Rapid Application Development)** principle in a **declarative style**.
## Key Features
- **Automatic CRUD Interface Generation** Manage objects effortlessly without manual UI coding.
- **Built-in Field Editors** Includes text inputs, date/time pickers, boolean switches, enums, and entity selectors.
- **Advanced Pagination & Filtering** Easily organize and navigate large datasets.
- **Authentication & Authorization** Role-based access control for secure interactions.
- **Context Preservation** Store navigation stacks and user interaction states in the database.
- **Internationalization Support** Localizable UI and string fields for multilingual bots.
**QBot** powered by **[FastAPI](https://fastapi.tiangolo.com)**, **[SQLModel](https://sqlmodel.tiangolo.com)** & **[aiogram](https://aiogram.dev)** Leverage the full capabilities of these frameworks for high performance and flexibility.
## Benefits
- **Faster Development** Automate repetitive tasks and build bots in record time.
- **Highly Modular** Easily extend and customize functionality.
- **Less Code Duplication** Focus on core features while QBot handles the rest.
- **Enterprise-Grade Structure** Scalable, maintainable, and optimized for real-world usage.
## Example
```python
class AppEntity(BotEntity):
"""
BotEntity - business entity. Based on SQLModel, which provides ORM functionality,
basic CRUD functions and additional metadata, describing entities view and behaviour
"""
bot_entity_descriptor = Entity( # metadata attribute
name = "bot_entity", # Entity - descriptor for entity metadata
...
)
name: str # entity field with default sqlmodel's FieldInfo descriptor
# and default qbot's field descriptor
description: str | None = Field( # field with sqlmodel's descriptor
sa_type = String, index = True) # and default qbot's descriptor
age: int = EntityField( # field with qbot's descriptor
caption = "Age",
)
user_id: int | None = EntityField( # using both descriptors
sm_descriptor=Field(
sa_type=BigInteger,
foreign_key="user.id",
ondelete="RESTRICT",
nullable=True,
),
is_visible=False,
)
user: Optional[User] = EntityField( # using Relationship as sqlmodel descriptor
sm_descriptor=Relationship(
back_populates="entities",
sa_relationship_kwargs={
"lazy": "selectin",
"foreign_keys": "Entity.user_id",
}
),
caption="User",
)
app = QBotApp() # bot application based on FastAPI application
# providing Telegram API webhook handler
@app.command( # decorator for bot commands definition
name="menu",
caption="Main menu",
show_in_bot_commands=True, # shows command in bot's main menu
clear_navigation=True, # resets navigation stack between bot dialogues
)
async def menu(context: CommandCallbackContext):
context.message_text = "Main menu" # message text
context.keyboard_builder.row( # and buttons will be shown to user
InlineKeyboardButton(
text="Entities",
callback_data=ContextData( # callback query dataclass representing
command=CallbackCommand.ENTITY_LIST, # navigation context and its parameters
entity_name="bot_entity"
).pack(),
)
)
```
## Result
<iframe width="100%" height="691" src="https://www.youtube.com/embed/ptTnoppkYfM" title="QBot Framework The Open-Source RAD Tool for Telegram Bots" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>