mirror of
https://github.com/tiennm99/DocsGPT.git
synced 2026-10-03 20:12:55 +00:00
Alex
574f96341e
The backend import package is now docsgpt, the name it will carry on PyPI; application was far too generic to install into anyone's site-packages. git mv plus a mechanical rewrite of every import, dotted string and path reference: 734 Python files, the compose files, Dockerfile, workflows, docs, setup scripts, devcontainer, k8s manifests, vscode config, pytest and coverage config, .gitignore. Behaviour is unchanged. Kept for one release: - A top-level application package whose meta-path finder resolves application.x.y to the already-imported docsgpt.x.y object, so old imports and entry points (celery -A application.app.celery, uvicorn application.asgi:asgi_app) keep working with a FutureWarning. - Celery registers every application.* task name as an alias of its docsgpt.* task on start-up, so messages queued by the previous release still run. The redbeat key prefix moves to redbeat:docsgpt:v2: so schedule entries the previous release wrote are left unread instead of firing twice. The backend image builds from the repository root (docker build -f docsgpt/Dockerfile .) so it can ship the alias package; a root .dockerignore allow-lists docsgpt/ and application/ and keeps caches, local data, .env files, the sample index files and the Dockerfile out. Compose and the image workflows point at the new context.
89 lines
2.4 KiB
Python
89 lines
2.4 KiB
Python
import base64
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import json
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import logging
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import os
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from cryptography.hazmat.backends import default_backend
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from cryptography.hazmat.primitives import hashes
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from cryptography.hazmat.primitives.ciphers import algorithms, Cipher, modes
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from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC
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from docsgpt.core.settings import settings
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logger = logging.getLogger(__name__)
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def _derive_key(user_id: str, salt: bytes) -> bytes:
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app_secret = settings.ENCRYPTION_SECRET_KEY
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password = f"{app_secret}#{user_id}".encode()
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kdf = PBKDF2HMAC(
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algorithm=hashes.SHA256(),
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length=32,
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salt=salt,
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iterations=100000,
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backend=default_backend(),
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)
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return kdf.derive(password)
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def encrypt_credentials(credentials: dict, user_id: str) -> str:
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if not credentials:
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return ""
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try:
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salt = os.urandom(16)
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iv = os.urandom(16)
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key = _derive_key(user_id, salt)
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json_str = json.dumps(credentials)
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cipher = Cipher(algorithms.AES(key), modes.CBC(iv), backend=default_backend())
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encryptor = cipher.encryptor()
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padded_data = _pad_data(json_str.encode())
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encrypted_data = encryptor.update(padded_data) + encryptor.finalize()
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result = salt + iv + encrypted_data
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return base64.b64encode(result).decode()
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except Exception as e:
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logger.warning(f"Failed to encrypt credentials: {e}")
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return ""
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def decrypt_credentials(encrypted_data: str, user_id: str) -> dict:
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if not encrypted_data:
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return {}
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try:
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data = base64.b64decode(encrypted_data.encode())
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salt = data[:16]
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iv = data[16:32]
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encrypted_content = data[32:]
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key = _derive_key(user_id, salt)
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cipher = Cipher(algorithms.AES(key), modes.CBC(iv), backend=default_backend())
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decryptor = cipher.decryptor()
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decrypted_padded = decryptor.update(encrypted_content) + decryptor.finalize()
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decrypted_data = _unpad_data(decrypted_padded)
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return json.loads(decrypted_data.decode())
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except Exception as e:
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logger.warning(f"Failed to decrypt credentials: {e}")
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return {}
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def _pad_data(data: bytes) -> bytes:
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block_size = 16
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padding_len = block_size - (len(data) % block_size)
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padding = bytes([padding_len]) * padding_len
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return data + padding
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def _unpad_data(data: bytes) -> bytes:
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padding_len = data[-1]
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return data[:-padding_len]
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