python-files-db 0.0.1a2

Lightweight file-system database for Python projects.

pyfiles_db

Lightweight file-system database for Python projects

PRE RELISE FIRST VERSION OF PYFILES_D

About

pyfiles_db is a lightweight and fast library that allows using the file system as a database for Python projects. It is minimalistic, requires no full-fledged DBMS, and is ideal for small to medium projects where simplicity and speed are priorities, and when system resources are a concern. It is built on top of aiofiles which allows you to use the file system as a database without any server required. Also can with synchronous mode.

Features

• Store data directly in folders and files (no server required)
• Simple API — quick to start
• Supports basic CRUD operations: Create, Read, (Update, Delete - now don't realized)
• Minimal external dependencies
• Designed for easy integration and flexibility

Installation

pip install pyfiles_db

Quick Start

from pyfiles_db import FilesDB
from pathlib

file_db = FilesDB()

db = file_db.init_async()  # Or file_db.init_sync() for sync mode
# storage - path to database location, if is None use default path.

db.craeate_table(
    "users",
    columns={
        "id": "INT",
        "name": "TEXT",
        "age": "INT",
    },
    id_generator="id", # required unical value of table, if None use generator for auto increment.
)

db.new_data(table_name="usesr", data={
    "id": 1,
    "name": "Anton",
    "age": 17,
})

db.new_data(table_name="users", data={
    "id": 2,
    "name": "Alex",
    "age": 17,
})

user_id_1 = db.find("usesr", "id == 1")
# return [{"id": 1, "name": "Anton", "age": 17}]

user_id_2 = db.find("usesr", "id == 2") 
# return [{"id": 2, "name": "Alex", "age": 17}]

users_age_17 = db.find("users", "age == 17")
# return [
#     {"id": 1, "name": "Anton", "age": 17},
#     {"id": 2, "name": "Alex", "age": 17},
# ]

Use Cases

• Quick startups, prototypes, MVPs
• Lightweight web applications, scripts, utilities
• Projects not requiring a heavy DBMS
• Personal projects and data analysis tools
• low RAM and processor characteristics

Best Practices & Limitations

• Not designed for high-load systems with thousands of requests per second
• Maintain folder structure carefully to avoid naming collisions
• As this uses the file system, consider transaction/concurrency limitations
• Regularly back up the path folder

Contribution

Feedback, issues, and pull requests are welcome! Follow the contribution guidelines if available. Ensure your code is tested (tests in /tests/) and document changes.

License

This project is licensed under the Apache-2.0 License. See LICENSE for details.

Other

CODE_OF_CONDUCT

CONTRIBUTING