Replicate Lucidlink Codebase with AI Commodity Codes

LucidLink is a cloud-native file collaboration platform that lets teams work with large files in real time—just as if they were stored on a local drive—even while the actual data stays securely in the cloud. What Does LucidLink Do at Its Core?

  1. Streams files from cloud storage (like S3) without full downloads
  2. Caches smartly to reduce latency and bandwidth
  3. Encrypts all files client-side with zero-knowledge (you hold the keys)
  4. Mounts a virtual drive that apps treat like local storage
  5. Supports real-time collaboration

Components:

FeatureHow to Replicate
Cloud file backendAmazon S3 / MinIO (S3-compatible local storage)
File streamingUse FUSE (Filesystem in Userspace) in C++/Python
CachingImplement local block-level caching with LRU
EncryptionClient-side AES or libsodium
CollaborationUse webhooks, polling, or WebSockets for sync
import os
import errno
from fuse import FUSE, Operations
from cryptography.fernet import Fernet
import boto3
from functools import lru_cache

# === CONFIGURATION ===
BUCKET_NAME = 'your-s3-bucket-name'
ENCRYPTION_KEY = b'your-32-byte-base64-key=='  # Use Fernet.generate_key()
MOUNTPOINT = '/mnt/cloudfs'
AWS_REGION = 'us-east-1'
# ======================

fernet = Fernet(ENCRYPTION_KEY)
s3 = boto3.client('s3', region_name=AWS_REGION)

class CloudFS(Operations):
    def __init__(self):
        self.files = self._list_s3_files()

    def _list_s3_files(self):
        files = {}
        response = s3.list_objects_v2(Bucket=BUCKET_NAME)
        for obj in response.get('Contents', []):
            files['/' + obj['Key']] = obj['Size']
        return files

    def getattr(self, path, fh=None):
        if path == '/':
            return dict(st_mode=(0o40555), st_nlink=2)
        if path not in self.files:
            raise FileNotFoundError(errno.ENOENT)
        return dict(st_mode=(0o100444), st_size=self.files[path], st_nlink=1)

    def readdir(self, path, fh):
        yield from ['.', '..'] + [name[1:] for name in self.files]

    def open(self, path, flags):
        if path not in self.files:
            raise FileNotFoundError(errno.ENOENT)
        return 0

    def read(self, path, size, offset, fh):
        if path not in self.files:
            return b''
        data = self._fetch_decrypted(path[1:], offset, size)
        return data

    @lru_cache(maxsize=128)
    def _fetch_decrypted(self, key, offset, size):
        end = offset + size - 1
        byte_range = f"bytes={offset}-{end}"
        obj = s3.get_object(Bucket=BUCKET_NAME, Key=key, Range=byte_range)
        encrypted = obj['Body'].read()
        try:
            decrypted = fernet.decrypt(encrypted)
        except:
            decrypted = b''
        return decrypted

if __name__ == '__main__':
    if not os.path.exists(MOUNTPOINT):
        os.makedirs(MOUNTPOINT)
    FUSE(CloudFS(), MOUNTPOINT, nothreads=True, foreground=True)

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