import asyncio
from math import ceil
from os import getenv
from time import sleep

import aiomysql
import aioredis
import manticoresearch
import msgpack
import orjson
from manticoresearch.rest import ApiException
from numpy import array_split
from redis import StrictRedis

import util
from schemas import mc_s

mysql_pool = None


configuration = manticoresearch.Configuration(host="http://127.0.0.1:9308")
api_client = manticoresearch.ApiClient(configuration)
api_instance = manticoresearch.IndexApi(api_client)

log = util.get_logger("db")

# Redis (legacy)
# r = StrictRedis(unix_socket_path="/var/run/redis/redis.sock", db=0)
r = StrictRedis(
    host="127.0.0.1",  # Replace with your Redis server's IP address
    port=1289,  # Replace with your Redis server's port
    db=0,  # Database number
)
# AIORedis
# ar = aioredis.from_url("unix:///var/run/redis/redis.sock", db=0)
ar = aioredis.from_url("redis://127.0.0.1:1289", db=0)

# /var/run/neptune-redis.sock
# db = 10
pr = aioredis.from_url("unix://var/run/neptune-redis.sock", db=10)
# fr = aioredis.from_url("unix://var/run/fisk-redis.sock", db=10)
fr = aioredis.from_url("unix://var/run/redis.sock", db=10)
# pr = aioredis.from_url("redis://redis_neptune:6379", db=10, password=getenv("REDIS_PASSWORD"))

KEYNAME = "queue"
MESSAGE_KEY = "messages"

OHLC_MESSAGE_KEY = "ohlc"


TYPES_MAIN = [
    "msg",
    "notice",
    "action",
    "part",
    "join",
    "kick",
    "quit",
    "nick",
    "mode",
    "topic",
    "update",
]
TYPES_META = ["who"]
TYPES_INT = ["conn", "highlight", "znc", "query", "self"]


async def init_mysql_pool():
    """
    Initialize the MySQL connection pool.
    """
    global mysql_pool
    mysql_pool = await aiomysql.create_pool(
        host="127.0.0.1", port=9306, db="Manticore", minsize=1, maxsize=10
    )


async def rts_store_message(index, data):
    """
    Store a RTS message into MySQL using an existing connection pool.
    Prioritizes instant PubSub delivery, with minimal data storage overhead.
    :param index: str
    :param data: dict
    """
    # Publish to Redis PubSub
    packed_index = msgpack.packb({"index": index, "data": data}, use_bin_type=True)

    try:
        await fr.publish(OHLC_MESSAGE_KEY, packed_index)
    except aioredis.exceptions.ConnectionError as e:
        raise e
        await asyncio.sleep(0.1)

    # Insert data into MySQL
    try:
        async with mysql_pool.acquire() as conn:
            async with conn.cursor() as cur:
                # Insert data into the table
                query = f"""
                    INSERT INTO {index} (s, o, c, h, l, v, a, i, t, t2, ts)
                    VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
                """
                # Bind the values directly
                await cur.execute(
                    query,
                    (
                        data["s"],  # symbol
                        data["o"],  # open
                        data["c"],  # close
                        data["h"],  # high
                        data["l"],  # low
                        data["v"],  # volume_base
                        data["a"],  # volume_quote
                        data["i"],  # interval
                        data["t"],  # start_time
                        data["t2"],  # end_time
                        data["ts"],  # event_time
                    ),
                )
                await conn.commit()
                log.debug(f"Stored data for {data['s']} in MySQL.")
    except aiomysql.Error as e:
        log.error(f"MySQL error: {e}")


async def store_batch(data):
    """
    Store a message into Manticore
    :param data: list
    """
    if not data:
        return
    # 10000: maximum inserts we can submit to
    # Manticore as of Sept 2022
    split_posts = array_split(data, ceil(len(data) / 10000))
    for messages in split_posts:
        total = []
        indexmap = {}
        for msg in messages:
            if msg["type"] in TYPES_MAIN:
                index = "main"
                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
            # normalise fields
            for key, value in list(msg.items()):
                if value is None:
                    del msg[key]
                if key in schema:
                    if isinstance(value, int):
                        if schema[key].startswith("string") or schema[key].startswith(
                            "text"
                        ):
                            msg[key] = str(value)

            body = {"insert": {"index": index, "doc": msg}}
            total.append(body)
            if "ts" not in msg:
                raise Exception("No TS in msg")
            if index not in indexmap:
                indexmap[index] = [msg]
            else:
                indexmap[index].append(msg)
        # END MSG IN MESSAGES

        # Pack the indexmap with msgpack and publish it to Neptune
        packed_index = msgpack.packb(indexmap, use_bin_type=True)
        completed_publish = False
        for i in range(10):
            if completed_publish:
                break
            try:
                await pr.publish(MESSAGE_KEY, packed_index)
                completed_publish = True
            except aioredis.exceptions.ConnectionError as e:
                raise e
                await asyncio.sleep(0.1)
        if not completed_publish:
            log.error("Failed to publish to Neptune")

        body_post = ""
        for item in total:
            # print("ITEM", item)
            body_post += orjson.dumps(item).decode("utf-8")
            body_post += "\n"

        # print("BODY POST INDEX", index, body_post)

        try:
            # Bulk index operations
            api_response = api_instance.bulk(body_post)  # , async_req=True
        except ApiException as e:
            log.error("Exception when calling IndexApi->bulk: %s\n" % e)
            log.error("body_post attempted to send", body_post)
        log.info(f"Completed ingest to MC of length {len(total)}")
    # END MESSAGES IN SPLIT


def update_schema():
    pass


def create_index(api_client):
    util_instance = manticoresearch.UtilsApi(api_client)
    schemas = {
        "main": mc_s.schema_main,
        "rule_storage": mc_s.schema_rule_storage,
        "meta": mc_s.schema_meta,
        "internal": mc_s.schema_int,
    }
    for name, schema in schemas.items():
        schema_types = ", ".join([f"{k} {v}" for k, v in schema.items()])

        create_query = (
            f"create table if not exists {name}({schema_types}) engine='columnar'"
        )
        print("Schema types", create_query)
        util_instance.sql(create_query)


async def queue_message(msg):
    """
    Queue a message on the Redis buffer.
    """
    # TODO: msgpack
    message = orjson.dumps(msg)
    await ar.lpush(KEYNAME, message)


async def queue_message_bulk(data):
    """
    Queue multiple messages on the Redis buffer.
    """
    for msg in data:
        # TODO: msgpack
        message = orjson.dumps(msg)
        await ar.lpush(KEYNAME, message)