A collection of tool for EC.
Project description
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
AesCipherfor 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
Project details
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