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Save your data and states in aiogram bot.Aiogram-storages was created to extend the standard fsm_storage options in aiogram.

Project description

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Save your data!

Aiogram-storages was created to extend the standard fsm_storage options in aiogram. Our library supports such databases as:

Installation

pip install AiogramStorages

PostgreSQL

Support for storage with the PostgreSQL database is due to the asyncpg asynchronous library, which gives a huge data processing speed, and, accordingly, the bot itself.

In order to use it, you need to create an instance of the PGStorage class, to which you need to pass the required parameters (user, password, db_name). You can also specify additional parameters (host, port).

Next, this instance must be passed to the Dispatcher.

Example

from AiogramStorages.storages import PGStorage

storage = PGStorage(username='YourUser', password='YourPassword', db_name='YourDbName')  
dp = Dispatcher(bot, storage=storage)

Warning

By default, PGStorage creates three tables in your database named: aiogram-states, aiogram-data, aiogram-buckets.

We strongly recommend that you do not use these names as the name of the table, otherwise there may be disagreements.

SQLiteStorage

Support for storage with the SQLite database is due to the aiosqlite asynchronous library, which gives a huge data processing speed, and, accordingly, the bot itself.

In order to use it, you need to create an instance of the SQLiteStorage class, to which you need to pass the required parameters (db_path).

Next, this instance must be passed to the Dispatcher.

Example

from AiogramStorages.storages import SQLiteStorage

storage = SQLiteStorage(db_path='your_path')  
dp = Dispatcher(bot, storage=storage)

Warning

By default, SQLiteStorage creates three tables in your database named: aiogram-states, aiogram-data, aiogram-buckets.

We strongly recommend that you do not use these names as the name of the table, otherwise there may be disagreements.

Project details


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Source Distribution

AiogramStorages-1.0.0.tar.gz (4.1 kB view hashes)

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