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Alexander Kalinovsky
2025-03-01 00:57:31 +07:00
parent 1d162677a8
commit 71ba2c052b
13 changed files with 744 additions and 4 deletions
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78
.gitea/workflows/build_deploy-docs.yml Normal file
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name: Build Docs
on:
push:
branches:
- main
jobs:
changes:
runs-on: ubuntu-latest
# Set job outputs to values from filter step
outputs:
docs: ${{ steps.filter.outputs.docs }}
steps:
- uses: actions/checkout@v4
# For pull requests it's not necessary to checkout the code but for the main branch it is
- uses: dorny/paths-filter@v3
id: filter
with:
filters: |
docs:
- README.md
- docs/**
- requirements-docs.txt
- pyproject.toml
- mkdocs.yml
- Dockerfile.docs-site
- docker-compose.docs-site.yml
- .gitea/workflows/build-docs.yml
- .gitea/workflows/deploy-docs.yml
build-docs:
needs:
- changes
if: ${{ needs.changes.outputs.docs == 'true' }}
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.13"
- name: Setup uv
uses: astral-sh/setup-uv@v5
with:
version: "0.6.3"
enable-cache: true
cache-dependency-glob: |
requirements**.txt
pyproject.toml
- name: Install docs extras
run: uv pip install -r requirements-docs.txt
- name: Build Docs
run: mkdocs build
- name: Build Docker Image
run: |
docker build -f Dockerfile.docs-site -t registry.botforge.biz/${{ vars.STACK_NAME }} .
docker tag ${{ vars.STACK_NAME }}:latest registry.botforge.biz/${{ vars.STACK_NAME }}
docker login registry.botforge.biz -u ${{ secrets.REGISTRY_USER }} -p ${{ secrets.REGISTRY_PASSWORD }}
docker push registry.botforge.biz/${{ vars.STACK_NAME }}
deploy-docs:
needs:
- build-docs
runs-on: staging
env:
STACK_NAME: ${{ vars.STACK_NAME }}
DOMAIN: ${{ vars.DOMAIN }}
steps:
- uses: actions/checkout@v4
- name: Copy to working directory
run: |
mkdir -p ~/${{ vars.STACK_NAME }}
cp docker-compose.docs-site.yml ~/${{ vars.STACK_NAME }}/docker-compose.yml
- name: Start Docs Site
run: |
cd ~/${{ vars.STACK_NAME }}
docker-compose up -d

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.gitignore vendored
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@@ -3,5 +3,8 @@ __pycache__
.pytest_cache
.DS_Store
.venv
.python-version
uv.lock
dist
*.egg-info
site

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Dockerfile.docs-site Normal file
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FROM nginx
WORKDIR /usr/share/nginx/html
RUN rm -rf ./*
COPY ./site/* ./
EXPOSE 8080
CMD ["nginx", "-g", "daemon off;"]

100
README.md
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@@ -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)

18
docker-compose.docs-site.yml Normal file
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services:
qbot-docs-site:
image: 'registry.botforge.biz/${STACK_NAME?Variable not set}:${TAG-latest}'
restart: always
networks:
- traefik-public
env_file:
- .env
labels:
- traefik.enable=true
- traefik.docker.network=traefik-public
- traefik.constraint-label=traefik-public
- traefik.http.services.${STACK_NAME?Variable not set}.loadbalancer.server.port=8000
- traefik.http.routers.${STACK_NAME?Variable not set}.rule=Host(`${DOMAIN?Variable not set}`)
- traefik.http.routers.${STACK_NAME?Variable not set}.entrypoints=websecure
- traefik.http.routers.${STACK_NAME?Variable not set}.tls=true
- traefik.http.routers.${STACK_NAME?Variable not set}.tls.certresolver=le
- traefik.http.routers.${STACK_NAME?Variable not set}.service=${STACK_NAME?Variable not set}

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@@ -0,0 +1,99 @@
<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>

14
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@@ -0,0 +1,14 @@
site_name: QBot Framework
site_url: https://qbot.botforge.biz
theme:
name: material
palette:
primary: #fabf9c
accent: #a7a7fa
font:
text: 'Roboto'
code: 'Roboto Mono'
logo: 'img/qbot_1_1.svg'
favicon: 'img/qbot_1_1.svg'
repo_name: botforge/qbot
repo_url: https://git.botforge.biz/botforge/qbot

1
pyproject.toml
View File

@@ -19,6 +19,7 @@ dependencies = [
"babel>=2.17.0",
"fastapi[standard]>=0.115.8",
"greenlet>=3.1.1",
"mkdocs-material>=9.6.5",
"pydantic-settings>=2.7.1",
"pyngrok>=7.2.3",
"pytest>=8.3.4",

2
tests/bot.py
View File

@@ -21,6 +21,7 @@ from typing import Optional
class User(UserBase):
bot_entity_descriptor = Entity(
icon="👤",
full_name="User",
@@ -55,6 +56,7 @@ class User(UserBase):
class Entity(BotEntity):
bot_entity_descriptor = Entity(
icon="📦",
full_name="Entity",

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