add mkdocs

README.md

@@ -1,5 +1,99 @@
-# QBot - Telegram Bots Rapid Application Development (RAD) Framework
-QBot is designed to quickly create complex and feature rich Telegram bots using declarative programming.
-##
+<p align="center">
+    <a href="https://qbot.botforge.biz"><img src="https://qbot.botforge.biz/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>
+
+Here you can see the result - [YouTube Video with Bot](https://www.youtube.com/shorts/ptTnoppkYfM)