from math import ceil

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

import util
from schemas import mc_s
from os import getenv
from time import sleep

configuration = manticoresearch.Configuration(host="http://monolith_db: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="ssdb_monolith",  # 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://ssdb_monolith:1289",
    db=0
)
pr = aioredis.from_url("redis://redis_neptune:6379", db=10, password=getenv("REDIS_PASSWORD"))

KEYNAME = "queue"
MESSAGE_KEY = "messages"


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


# def store_message(msg):
#     """
#     Store a message into Manticore
#     :param msg: dict
#     """
#     # Duplicated to avoid extra function call
#     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}}]
#     body_post = ""
#     for item in body:
#         body_post += orjson.dumps(item)
#         body_post += "\n"

#     # print(body_post)
#     try:
#         # Bulk index operations
#         api_response = api_instance.bulk(body_post)  # , async_req=True
#         # print(api_response)
#     except ApiException as e:
#         print("Exception when calling IndexApi->bulk: %s\n" % e)
#         print("ATTEMPT", body_post)


async def store_batch(data):
    """
    Store a message into Manticore
    :param msg: dict
    """
    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)


        try:
            # Bulk index operations
            api_response = api_instance.bulk(body_post)  # , async_req=True
        except ApiException as e:
            print("Exception when calling IndexApi->bulk: %s\n" % e)
        print(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,
        "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)


created = False
while not created:
    try:
        create_index(api_client)
        created = True
    except Exception as e:
        print(f"Error creating index: {e}")
        sleep(1) # Block the thread, just wait for the DB
update_schema()