jgram 1.0.4b0

Simple wrapper over aiogram for create bots structure in json files

JGram

About the project

Jgram was created to be able to quickly and conveniently write telegram bots, placing their structure in .json files Jgram based on AIOgram-2.21 framework

for development info see TODO and CHANGES

Table of contents

• Installation
  • From sources
• Getting started
• Initialization
  • Registry
  • Windows manager
  • Storage
  • Loader
• Windows
  • Fields
  • Loading windows
• Middlewares
• Filters
  • Aioram's filters
  • Middleware as filter

installation

From sources

git clone https://github.com/GrehBan/jgram.git
cd jgram
poetry install --no-dev

Speedups

pip install uvloop cchardet aiodns ujson

Getting started

windows.json

{
    "locale": "en",
    "start": {
        "text": "Hello unknown user",
        "markup": {
            "type": "inline",
            "markup": [
                [
                    {
                        "text": "Register",
                        "callback_data": "write_name"
                    }
                ]
            ]
        }
    },
    "write_name": {
        "text": "Write your name please",
        "markup": {
            "type": "inline",
            "markup": [
                [
                    {
                        "text": "back",
                        "callback_data": "start"
                    }
                ]
            ]
        },
        "next_step": "write_age"
    },
    "write_age": {
        "text": "Your name is {name}\nwrite your age please",
        "markup": {
            "type": "inline",
            "markup": [
                [
                    {
                        "text": "back",
                        "callback_data": "write_name"
                    }
                ]
            ]
        },
        "allowed_updates": ["text"],
        "next_step": "save_data"

    },
    "save_data": {
        "text": "Your name is {name}\nYou {age} years old\nThank you!",
        "allowed_updates": ["text"]
    }
}

simple.py

import asyncio
import os

from jgram import Registry
from jgram.context import Context
from jgram.manager import WindowsManager


async def name_formatter(update, manager: WindowsManager, context: Context):
    context.data['name'] = update.text


async def age_formatter(update, manager: WindowsManager, context: Context):
    context.data['age'] = update.text


async def main():
    registry = Registry(token=os.getenv('BOT_TOKEN'))
    registry.manager.load_windows('windows.json')
    registry.register_middleware(name_formatter, name='write_age')
    registry.register_middleware(age_formatter, name='save_data')

    try:
        await registry.start()
    finally:
        await registry.close()


if __name__ == '__main__':
    asyncio.run(main())

Initialization

Registry

from jgram import Registry

registry = Registry()

# initialization arguments

   # registry initialize bot and dispatcher from one of this arguments, and must have one of it

   bot -> typing.Optional[aiogram.Bot] # current aiogram's bot

   dispatcher -> typing.Optional[aiogram.Dispatcher] # current aiogram's dispatcher

   token -> typing.Optional[str] # bot's token


   # registry initialize new jgram.WindowsManager instance, if manager argument is not provided
   manager -> typing.Optional[jgram.WindowsManager] # current manager for manage windows

Windows manager

from jgram import WindowsManager

manager = WindowsManager()

# initialization arguments

    # manager initialize new jgram.loader.JsonLoader instance, if loader arguemnt is not provided
    loader -> typing.Optional[jgram.loader.protocols.LoaderProto] # current loader for load raw json

    # manager initialize new jgram.storage.memory.MemoryStorage, if storage argument is not provided
    storage -> typing.Optional[jgram.storage.protocols.BaseStorage] # current users data storage

    start_window -> str # name of window than be rendered when /start command is handled
        default = "start"

Storage

from jgram.storage.memory import MemoryStorage # memory storage for example

storage = MemoryStorage()

Loader

from jgram.loader import JsonLoader

loader = JsonLoader()

# initialization arguments

    default_locale -> typing.Optional[str] # locale which will be used if "locale" field in window is not provided, if set to None, all of windows must have "locale" field
        default = 'en'
    json_loads -> typing.Callable[..., Any] # function to loads json from string
        default = json.loads # python's built-in json's module func

Windows

Structure

{
  "lang": "{lang}",
  "{text_name}": {
    "text": "{text}",
    "media": {
        "type": "{media_type}",
        "url": "{media_url}",
        "path": "{media_path}",
        "file_id": "{media_file_id}"
    }
    "markup": {
        "type": "{type}",
        "markup":
        [
            [{"text": "Button text", "callback_data": "{next_step callback data}"}],
            [{"text": "Url button", "url": "{url}"}],
            [{"text": "Reply button"}]
        ],
    "parse_mode": null,
    "web_preview": false,
    "allowed_updates": ["{update_type}"],
    "filters": [
        {
            "{filter_name}": "{value}",
            "next_step": "{value}"
        }
    ],
    "next_step": "{value}",
    "reset_context": false
  }
}
}

Fields

"lang" -> typing.Optional[str] # Locale of windows

"text" -> typing.Optional[str] # bot message text, uses as a caption to media, if it set

"media" -> typing.Optional[typing.Dict] # bot message media
    "type" -> str # media type
        values = ["photo", "video", "animation", "audio", "document"]
    
    # media must have one of this fields

    "url" -> typing.Optional[str] # media url
    
    "path" -> typing.Optional[str] # path to media file

    "file_id" -> typing.Optional[str] # media file id

"markup" -> typing.Optional[typing.Dict] # bot message reply markup
    "type" -> str # markup type
        values = ["inline", "reply"]
    
    "markup" typing.List[typing.List[typing.Dict[str, str]]] # list of lists of markup buttons

"parse_mode" -> typing.Optional[str] # bot message parse mode
    values = ["HTML", "MARKDOWN", "MARKDOWN_V2"]

"web_preview" -> bool # bot message disable or enable web preview
    default = False

"allowed_updates" -> typing.List[str] # list of content types allowed for processing
    default = []
    values = ["text", "photo", "video", "animation", "audio", "document"]

"filters" -> typing.List[typing.Dict] # list of dicts than represents aiogram's filters
    default = []

    "{filter_name}" -> str # Aiogram's filter value
    ...
    "next_step" -> str # name of window than be rendered when filters passed

"next_step" -> typing.Optional[str] # name of window than be rendered if any filter not passed or filters not found

"reset_context" -> bool # reset current user context
    default = False

Loading windows

from jgram import WindowsManager

manager = WindowsManager()
manager.load_windows("path/to/file/windows.json")

Middlewares

middlewares call before window rendered, and in middleware you can change user context data or manipulate window processing

middlewares can return a True or False, if returns True, update handler will continue render window, but if returns False, window will not be rendered

for example

from aiogram.types import Message, CallbackQuery

from jgram import Registry
from jgram.context import Context
from jgram.manager import WindowsManager


async def middleware(
    update: typing.Union[Message, CallbackQuery],
    manager: WindowsManager, 
    context: Context
    ):
    if isinstance(update, CallbackQuery):
        return True # skip middleware processing, and render window
    context.data['name'] = update.text # save current message text to "name" field


registry = Registry()
registry.register_middleware(middleware) # middleware will be processed for all windows

# if you can process middleware only for one window
registry.register_middleware(middleware, name="window_name")

Filters

you have two ways to filter update

Aiogram's filters

you can use aiogram's filters, to filter update, but only if filter have key field

for example

    {
      "filtered": {
        "text": "Hello",
        "filters": [
          {
          "chat_id": 123,
          "next_step": "chat_123"
          }
        ],
        "next_step": "any_another_chat"
      }
    }

if current update chat id is 123 renders "chat_123" window, in another situations renders "any_another_chat" window

Middleware as filter

you can use jgram's middleware as filter

for example

from aiogram.types import Message, CallbackQuery

from jgram.context import Context
from jgram.manager import WindowsManager


async def middleware(
    update: typing.Union[Message, CallbackQuery],
    manager: WindowsManager, 
    context: Context
    ):
    if isinstance(update, CallbackQuery):
        return True # skip middleware processing, and render window
    try:
        age = int(update.text) # try to convert text to age int
    except ValueError:
        return False # skip window rendering
        # context.window_name = "error_window" # or switch window