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| 1 | +"""Redpanda async driver built on top of aiokafka.""" |
| 2 | + |
| 3 | +from __future__ import annotations |
| 4 | + |
| 5 | +import json |
| 6 | +from typing import Any, Optional, Union |
| 7 | + |
| 8 | +from ..exceptions import DriverError |
| 9 | +from .base import BaseDriver |
| 10 | + |
| 11 | + |
| 12 | +class redpanda(BaseDriver): |
| 13 | + """Async Redpanda driver. |
| 14 | +
|
| 15 | + Redpanda is Kafka API compatible, so this driver uses aiokafka under the hood. |
| 16 | + """ |
| 17 | + |
| 18 | + _provider = "redpanda" |
| 19 | + _syntax = "kafka" |
| 20 | + _dsn_template: str = "{host}:{port}" |
| 21 | + |
| 22 | + def __init__(self, dsn: str = None, loop=None, params: Optional[dict] = None, **kwargs): |
| 23 | + params = params or {} |
| 24 | + self._topic = kwargs.pop("topic", params.get("topic")) |
| 25 | + self._group_id = kwargs.pop("group_id", params.get("group_id", "asyncdb-redpanda")) |
| 26 | + self._client_id = kwargs.pop("client_id", params.get("client_id", "asyncdb")) |
| 27 | + self._producer = None |
| 28 | + self._admin = None |
| 29 | + super(redpanda, self).__init__(dsn=dsn, loop=loop, params=params, **kwargs) |
| 30 | + |
| 31 | + @staticmethod |
| 32 | + def _load_aiokafka(): |
| 33 | + try: |
| 34 | + from aiokafka import AIOKafkaAdminClient, AIOKafkaConsumer, AIOKafkaProducer |
| 35 | + except ImportError as err: |
| 36 | + raise DriverError( |
| 37 | + "aiokafka is required for Redpanda support. Install with: pip install asyncdb[redpanda]" |
| 38 | + ) from err |
| 39 | + return AIOKafkaProducer, AIOKafkaConsumer, AIOKafkaAdminClient |
| 40 | + |
| 41 | + def _bootstrap_servers(self) -> str: |
| 42 | + if self._dsn: |
| 43 | + return self._dsn |
| 44 | + host = self._params.get("host", "127.0.0.1") |
| 45 | + port = self._params.get("port", 9092) |
| 46 | + return f"{host}:{port}" |
| 47 | + |
| 48 | + async def connection(self, **kwargs): |
| 49 | + AIOKafkaProducer, _, _ = self._load_aiokafka() |
| 50 | + servers = kwargs.pop("bootstrap_servers", self._bootstrap_servers()) |
| 51 | + try: |
| 52 | + self._producer = AIOKafkaProducer( |
| 53 | + loop=self._loop, |
| 54 | + bootstrap_servers=servers, |
| 55 | + client_id=self._client_id, |
| 56 | + **kwargs, |
| 57 | + ) |
| 58 | + await self._producer.start() |
| 59 | + self._connection = self._producer |
| 60 | + self._connected = True |
| 61 | + return self |
| 62 | + except Exception as err: |
| 63 | + self._connected = False |
| 64 | + raise DriverError(f"Redpanda connection error: {err}") from err |
| 65 | + |
| 66 | + async def close(self): |
| 67 | + try: |
| 68 | + if self._producer is not None: |
| 69 | + await self._producer.stop() |
| 70 | + if self._admin is not None: |
| 71 | + await self._admin.close() |
| 72 | + self._connected = False |
| 73 | + self._connection = None |
| 74 | + return True |
| 75 | + except Exception as err: |
| 76 | + raise DriverError(f"Error closing Redpanda connection: {err}") from err |
| 77 | + |
| 78 | + async def use(self, database: str): |
| 79 | + self._topic = database |
| 80 | + |
| 81 | + async def prepare(self, sentence: Union[str, list]) -> Any: |
| 82 | + self._prepared = sentence |
| 83 | + return sentence |
| 84 | + |
| 85 | + def _encode_value(self, value: Any) -> bytes: |
| 86 | + if value is None: |
| 87 | + raise DriverError("Cannot publish an empty message") |
| 88 | + if isinstance(value, bytes): |
| 89 | + return value |
| 90 | + if isinstance(value, str): |
| 91 | + return value.encode("utf-8") |
| 92 | + return json.dumps(value).encode("utf-8") |
| 93 | + |
| 94 | + async def execute(self, sentence: Any, *args, **kwargs) -> Optional[Any]: |
| 95 | + if not self._producer: |
| 96 | + await self.connection() |
| 97 | + topic = kwargs.pop("topic", self._topic) |
| 98 | + if not topic: |
| 99 | + raise DriverError("No topic selected. Use use(<topic>) or pass topic=<topic>.") |
| 100 | + |
| 101 | + key = kwargs.pop("key", None) |
| 102 | + partition = kwargs.pop("partition", None) |
| 103 | + headers = kwargs.pop("headers", None) |
| 104 | + timestamp_ms = kwargs.pop("timestamp_ms", None) |
| 105 | + |
| 106 | + payload = self._encode_value(sentence) |
| 107 | + encoded_key = self._encode_value(key) if key is not None else None |
| 108 | + try: |
| 109 | + metadata = await self._producer.send_and_wait( |
| 110 | + topic, |
| 111 | + payload, |
| 112 | + key=encoded_key, |
| 113 | + partition=partition, |
| 114 | + headers=headers, |
| 115 | + timestamp_ms=timestamp_ms, |
| 116 | + ) |
| 117 | + result = { |
| 118 | + "topic": metadata.topic, |
| 119 | + "partition": metadata.partition, |
| 120 | + "offset": metadata.offset, |
| 121 | + "timestamp": metadata.timestamp, |
| 122 | + } |
| 123 | + return await self._serializer(result, None) |
| 124 | + except Exception as err: |
| 125 | + raise DriverError(f"Error publishing message to Redpanda: {err}") from err |
| 126 | + |
| 127 | + async def execute_many(self, sentence: list, *args) -> Optional[Any]: |
| 128 | + results = [] |
| 129 | + for message in sentence: |
| 130 | + response, error = await self.execute(message, *args) |
| 131 | + if error: |
| 132 | + return await self._serializer(results, error) |
| 133 | + results.append(response) |
| 134 | + return await self._serializer(results, None) |
| 135 | + |
| 136 | + async def query(self, sentence: Union[str, list], **kwargs): |
| 137 | + _, AIOKafkaConsumer, _ = self._load_aiokafka() |
| 138 | + topic = sentence if isinstance(sentence, str) and sentence else kwargs.pop("topic", self._topic) |
| 139 | + if not topic: |
| 140 | + raise DriverError("No topic selected. Use use(<topic>) or pass topic=<topic>.") |
| 141 | + |
| 142 | + timeout_ms = kwargs.pop("timeout_ms", 1000) |
| 143 | + max_records = kwargs.pop("max_records", 100) |
| 144 | + consumer = AIOKafkaConsumer( |
| 145 | + topic, |
| 146 | + loop=self._loop, |
| 147 | + bootstrap_servers=kwargs.pop("bootstrap_servers", self._bootstrap_servers()), |
| 148 | + group_id=kwargs.pop("group_id", self._group_id), |
| 149 | + client_id=self._client_id, |
| 150 | + auto_offset_reset=kwargs.pop("auto_offset_reset", "earliest"), |
| 151 | + enable_auto_commit=kwargs.pop("enable_auto_commit", False), |
| 152 | + **kwargs, |
| 153 | + ) |
| 154 | + |
| 155 | + try: |
| 156 | + await consumer.start() |
| 157 | + records = await consumer.getmany(timeout_ms=timeout_ms, max_records=max_records) |
| 158 | + messages = [] |
| 159 | + for _, batch in records.items(): |
| 160 | + for msg in batch: |
| 161 | + messages.append( |
| 162 | + { |
| 163 | + "topic": msg.topic, |
| 164 | + "partition": msg.partition, |
| 165 | + "offset": msg.offset, |
| 166 | + "timestamp": msg.timestamp, |
| 167 | + "key": msg.key.decode("utf-8") if msg.key else None, |
| 168 | + "value": msg.value.decode("utf-8") if msg.value else None, |
| 169 | + } |
| 170 | + ) |
| 171 | + return await self._serializer(messages, None) |
| 172 | + except Exception as err: |
| 173 | + raise DriverError(f"Error consuming messages from Redpanda: {err}") from err |
| 174 | + finally: |
| 175 | + await consumer.stop() |
| 176 | + |
| 177 | + fetch_all = query |
| 178 | + |
| 179 | + async def queryrow(self, sentence: Union[str, list]): |
| 180 | + messages, error = await self.query(sentence, max_records=1) |
| 181 | + if error: |
| 182 | + return await self._serializer(None, error) |
| 183 | + row = messages[0] if messages else None |
| 184 | + return await self._serializer(row, None) |
| 185 | + |
| 186 | + fetch_one = queryrow |
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