ec_tools

A lightweight Python toolbox for data modeling, SQLite DAOs, encrypted key-value storage, and small productivity utilities.

Highlights

• Data objects with JSON serialization and type-aware formatting.
• SQLite client + DAO layer with query generation.
• KV DAO with optional AES-backed encryption.
• Encryption helpers for bytes, chunks, and files.
• Utility helpers for IO, hashing, logging, and timing.

Requirements

• Python >= 3.12

Install (from source)

pip install -e .

Quick start

Encrypted KV storage with a KeyManager

from ec_tools.database import CipherKvDao, SqliteClient, SqliteKvDao
from ec_tools.tools.cipher import AesCipherGenerator
from ec_tools.tools.key_manager import KeyManager

sqlite_client = SqliteClient(":memory:")
kv_dao = SqliteKvDao(sqlite_client)
cipher_generator = AesCipherGenerator()
cipher_kv_dao = CipherKvDao(kv_dao, cipher_generator)

manager = KeyManager(cipher_kv_dao, "my-password")
manager.refresh_keys(["token", "cookie"])
print(manager.get_key("token"))

Build headers from stored secrets

from ec_tools.tools.headers_manager import HeadersManager

headers = HeadersManager(manager, ["token"], {"User-Agent": "ec-tools"}).get()
print(headers)

Data objects

Define dataclasses that serialize to/from JSON with helpers for enums, lists, sets, and nested objects.

import dataclasses
from ec_tools.data import DataObject

@dataclasses.dataclass
class User(DataObject):
    name: str
    age: int

user = User.from_json({"name": "Ada", "age": "42"})
print(user.to_json())

Encryption helpers

• AesCipher for encrypting/decrypting bytes.
• Chunked and file-level encryption utilities in ec_tools.tools.cipher.

Project layout

• ec_tools/data: data-object helpers and JSON formatting.
• ec_tools/database: SQLite client, DAO, and KV DAO.
• ec_tools/tools: key/headers managers, cipher tools, thread pool.
• ec_tools/utils: IO, hashing, logging, and timing helpers.

Development

pytest

License

MIT