import random

import aioredis
import orjson

# Kafka
from aiokafka import AIOKafkaProducer
from redis import StrictRedis

import util

# KAFKA_TOPIC = "msg"

log = util.get_logger("db")

# Redis (legacy)
r = StrictRedis(unix_socket_path="/var/run/redis/redis.sock", db=0)

# AIORedis
ar = aioredis.from_url("unix:///var/run/redis/redis.sock", db=0)

TYPES_MAIN = [
    "msg",
    "notice",
    "action",
    "part",
    "join",
    "kick",
    "quit",
    "nick",
    "mode",
    "topic",
    "update",
]
MAIN_SRC_MAP = {
    "dis": "main",
    "irc": "restricted",
    "4ch": "main",
}

TYPES_META = ["who"]
TYPES_INT = ["conn", "highlight", "znc", "query", "self"]
KEYPREFIX = "queue."


async def store_kafka_batch(data):
    # log.debug(f"Storing Kafka batch of {len(data)} messages")
    producer = AIOKafkaProducer(bootstrap_servers="kafka:9092")
    await producer.start()
    topicmap = {}
    for msg in data:
        if msg["type"] in TYPES_MAIN:
            # index = "main"
            index = MAIN_SRC_MAP[msg["src"]]
            # schema = mc_s.schema_main
        elif msg["type"] in TYPES_META:
            index = "meta"
            # schema = mc_s.schema_meta
        elif msg["type"] in TYPES_INT:
            index = "internal"
            # schema = mc_s.schema_int

        KAFKA_TOPIC = index

        # if key in schema:
        #     if isinstance(value, int):
        #         if schema[key].startswith("string") or schema[key].startswith(
        #             "text"
        #         ):
        #             msg[key] = str(value)
        body = orjson.dumps(msg)
        if "ts" not in msg:
            raise Exception("No TS in msg")
        if KAFKA_TOPIC not in topicmap:
            topicmap[KAFKA_TOPIC] = [body]
        else:
            topicmap[KAFKA_TOPIC].append(body)

    for topic, messages in topicmap.items():
        batch = producer.create_batch()
        for body in messages:
            metadata = batch.append(key=None, value=body, timestamp=msg["ts"])
            if metadata is None:
                partitions = await producer.partitions_for(topic)
                partition = random.choice(tuple(partitions))
                await producer.send_batch(batch, topic, partition=partition)
                # log.debug(
                #     (
                #         f"{batch.record_count()} messages sent to topic "
                #         f"{topic} partition {partition}"
                #     )
                # )
                batch = producer.create_batch()
                continue

        partitions = await producer.partitions_for(topic)
        partition = random.choice(tuple(partitions))
        await producer.send_batch(batch, topic, partition=partition)
        # log.debug(
        #     (
        #         f"{batch.record_count()} messages sent to topic "
        #         f"{topic} partition {partition}"
        #     )
        # )
    log.debug(
        "Kafka batches sent: "
        + ", ".join([topic + ": " + str(len(topicmap[topic])) for topic in topicmap])
    )
    await producer.stop()


async def queue_message(msg):
    """
    Queue a message on the Redis buffer.
    """
    src = msg["src"]
    message = orjson.dumps(msg)

    key = f"{KEYPREFIX}{src}"
    # log.debug(f"Queueing single message of string length {len(message)}")
    await ar.sadd(key, message)


async def queue_message_bulk(data):
    """
    Queue multiple messages on the Redis buffer.
    """
    # log.debug(f"Queueing message batch of length {len(data)}")
    for msg in data:
        src = msg["src"]
        message = orjson.dumps(msg)

        key = f"{KEYPREFIX}{src}"
        await ar.sadd(key, message)