GramDB 2.2.0

Unlimited Capacity Database For Programming Using Telegram as Database.

GramDB: Infinite Database Storage via Telegram

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Introduction

GramDB is a unique library that leverages Telegram as a database, offering infinite storage capabilities. It provides a robust and efficient way to manage data, making it an ideal solution for applications requiring flexible and scalable data storage.

Features

• Infinite Storage: Utilize Telegram's messaging capabilities to store data without traditional storage limitations.
• Real-time Data Access: Fetch, insert, update, and delete data in real-time.
• Asynchronous Operations: Support for asynchronous operations to ensure non-blocking and efficient data management.
• Schema Management: Define and manage schemas for tables to ensure data consistency.
• Background Tasks: Handle background tasks for creating, updating, and deleting data seamlessly.

Installation

To use GramDB, you need to install the library and its dependencies. You can do this via pip:

pip install gramdb

Getting Started

1. Authentication: Authenticate with your Telegram database URL.
2. Initialize: Initialize the GramDB instance with the authenticated URL and an asynchronous manager.
3. Data Operations: Perform CRUD (Create, Read, Update, Delete) operations on your data.

Example Usage

Authentication and Initialization

from gramdb import GramDB, AsyncManager 

# Replace with your actual database URL
db_url = "https://your-telegram-db-url.com"

# Initialize the asynchronous manager
async_manager = AsyncManager()

# Initialize GramDB
gramdb = GramDB(db_url, async_manager)

Creating a Table

# Define the schema for the new table
schema = ["name", "age", "email"]
    
# Create the table
await gramdb.create_one("users", schema)

Inserting Data

# Define the record to insert
record = {
    "name": "John Doe",
    "age": 30,
    "email": "[e-mail]"
}
    
# Insert the record
await gramdb.insert_one("users", record)

Fetching Data

# Define the query criteria
query = {
    "name": "John Doe"
}
    
# Fetch the data
result = await gramdb.find_one("users", query)
print(result)

Updating Data

# Define the query criteria and update fields
query = {
    "name": "John Doe"
}
update_fields = {
    "$set": {
        "age": 31
    }
}
    
# Update the data
await gramdb.update_one("users", query, update_fields)

Deleting Data

# Define the query criteria
query = {
    "name": "John Doe"
}
    
# Delete the data
await gramdb.delete_one("users", query)

Methods

Authentication and Initialization

• __init__(db_url, async_manager): Initialize the GramDB instance with the provided database URL and asynchronous manager.
• authenticate(): Authenticate with the provided database URL.

Data Operations

• create_one(table_name, schema): Create a new table with the given schema.
• insert_one(table_name, record): Insert a new record into the specified table.
• find(table_name, query): Fetch records from the specified table based on the given query.
• find_one(table_name, query): Fetch one record from the specified table based on the given query.
• fetch_all(): Fetch all records from all tables.
• update_one(table_name, query, update_query): Update records in the specified table based on the given query and update criteria.
• delete_one(table_name, query): Delete records from the specified table based on the given query.

Background Tasks

• background_create(table_name, _m_id): Create a new table in the background.
• background_insert(table_name, _m_id): Insert a new record in the background.
• background_update(table_name, query, _m_id): Update records in the background.
• background_delete(table_name, _m_id): Delete a record in the background.
• background_delete_table(table_name): Delete a table in the background.

Utility Methods

• wait_for_background_tasks(): Wait for all background tasks to complete.
• close(): Run async background tasks and close the async manager.

API Documentation

For detailed API documentation, please refer to the API Documentation.

Contributing

Contributions are welcome If you find any issues or have suggestions, please open an issue or submit a pull request.

License

GramDB is licensed under the GPU License.