vndee

from redis_data_structures import HashMap
from datetime import datetime
from pydantic import BaseModel

class UserProfile(BaseModel):
    name: str
    last_active: datetime
    preferences: dict[str, Any]

hash_map = HashMap()

vndee

from redis_data_structures import RingBuffer, BloomFilter

# Ring Buffer for metrics collection
metrics = RingBuffer(capacity=1000)
metrics.push("system.metrics", {
    "cpu_usage": 75.5,
    "memory_used": 1024 * 1024 * 1024,
    "timestamp": datetime.now()
})

vndee

# Traditional local structure - simple but not distributed
local_queue = []
local_queue.append(task)  # What happens if our process crashes?

# Raw Redis approach - distributed but verbose
redis_conn.lpush("queue", json.dumps(task))  # How do we handle types?
task = json.loads(redis_conn.lpop("queue"))  # What about error handling?

# Redis Data Structures - best of both worlds
from redis_data_structures import Queue

vndee

    def _read_length(self, f: BinaryIO) -> int:
        """Read a length-encoded integer"""
        first_byte = f.read(1)[0]

        # Check the first two bits (00, 01, 10, 11)
        bits = first_byte >> 6

        if bits == 0:  # 00xxxxxx
            return first_byte & 0x3F
        elif bits == 1:  # 01xxxxxx

vndee

class RDBOperationType(IntEnum):
    EOF = 0xFF       # End of file marker
    SELECTDB = 0xFE  # Switch to new database
    EXPIRETIME = 0xFD # Key with seconds-precision expire
    EXPIRETIME_MS = 0xFC # Key with milliseconds-precision expire
    RESIZEDB = 0xFB  # Database size metadata
    AUX = 0xFA      # Auxiliary metadata

vndee

class RDBParser:
    def __init__(self, file_path: str):
        self.file_path = file_path
        self.data: Dict[int, Dict[str, Any]] = {}  # database -> key -> value
        self.aux_fields: Dict[str, str] = {}  # Store auxiliary fields
        self.current_db = 0

    def parse(self) -> Dict[int, Dict[str, Any]]:
        """Parse the RDB file and return the data structure"""
        with open(self.file_path, "rb") as f:

vndee

async def handle_command(self, reader, writer, data: RESPObject):
    command = data.value[0].value.lower()
    
    match command:
        case RedisCommand.SET:
            key = data.value[1].value
            value = data.value[2].value
            response = self.__data_store.set(key, value)
            await self.__send_data(
                writer, 

vndee

async def start(self):
    server = await asyncio.start_server(
        self.handle_client, 
        self.host, 
        self.port
    )
    
    async with server:
        await server.serve_forever()

vndee

def _parse_bulk_string(self) -> RESPBulkString:
    # Find the length marker
    pos = self.buffer.find(b'\r\n')
    if pos == -1:
        raise IncompleteResponseError()
    
    # Parse length (excluding the '$' prefix)
    length = int(self.buffer[1:pos])
    
    # Handle null strings

vndee

class RESPParser:
    def __init__(
        self, protocol_version: RESPProtocolVersion = RESPProtocolVersion.RESP2
    ):
        self.protocol_version = protocol_version

    def parse(self, data: bytes) -> List[RESPObject]:
        """
        Parse RESP data into a list of RESPObjects.
        Each complete command will be one RESPObject in the list.