import glob
import subprocess
import tempfile
import uuid
from os.path import abspath, basename, dirname, join
from typing import Dict, Generator, List, Tuple

import sqlparse
from clickhouse_driver import Client
from dateutil.relativedelta import relativedelta
from django.utils import timezone
from sentry_sdk.api import capture_exception

from ee.clickhouse.client import make_ch_pool, sync_execute
from ee.clickhouse.models.event import get_event_count, get_event_count_for_last_month, get_event_count_month_to_date
from posthog.api.dead_letter_queue import get_dead_letter_queue_events_last_24h, get_dead_letter_queue_size
from posthog.settings import CLICKHOUSE_PASSWORD, CLICKHOUSE_STABLE_HOST, CLICKHOUSE_USER

SLOW_THRESHOLD_MS = 10000
SLOW_AFTER = relativedelta(hours=6)

CLICKHOUSE_FLAMEGRAPH_EXECUTABLE = abspath(join(dirname(__file__), "bin", "clickhouse-flamegraph"))
FLAMEGRAPH_PL = abspath(join(dirname(__file__), "bin", "flamegraph.pl"))

SystemStatusRow = Dict


def system_status() -> Generator[SystemStatusRow, None, None]:
    alive = is_alive()
    yield {"key": "clickhouse_alive", "metric": "Clickhouse database alive", "value": alive}

    if not alive:
        return

    yield {"key": "clickhouse_event_count", "metric": "Events in ClickHouse", "value": get_event_count()}
    yield {
        "key": "clickhouse_event_count_last_month",
        "metric": "Events recorded last month",
        "value": get_event_count_for_last_month(),
    }
    yield {
        "key": "clickhouse_event_count_month_to_date",
        "metric": "Events recorded month to date",
        "value": get_event_count_month_to_date(),
    }

    disk_status = sync_execute(
        "SELECT formatReadableSize(total_space), formatReadableSize(free_space) FROM system.disks"
    )

    for index, (total_space, free_space) in enumerate(disk_status):
        metric = "Clickhouse disk" if len(disk_status) == 1 else f"Clickhouse disk {index}"
        yield {"key": f"clickhouse_disk_{index}_free_space", "metric": f"{metric} free space", "value": free_space}
        yield {"key": f"clickhouse_disk_{index}_total_space", "metric": f"{metric} total space", "value": total_space}

    table_sizes = sync_execute(
        """
        SELECT
            table,
            formatReadableSize(sum(bytes)) AS size,
            sum(rows) AS rows
        FROM system.parts
        WHERE active
        GROUP BY table
        ORDER BY rows DESC
    """
    )

    yield {
        "key": "clickhouse_table_sizes",
        "metric": "Clickhouse table sizes",
        "value": "",
        "subrows": {"columns": ["Table", "Size", "Rows"], "rows": table_sizes},
    }

    system_metrics = sync_execute("SELECT * FROM system.asynchronous_metrics")
    system_metrics += sync_execute("SELECT * FROM system.metrics")

    yield {
        "key": "clickhouse_system_metrics",
        "metric": "Clickhouse system metrics",
        "value": "",
        "subrows": {"columns": ["Metric", "Value", "Description"], "rows": list(sorted(system_metrics))},
    }

    last_event_ingested_timestamp = sync_execute("SELECT max(_timestamp) FROM events")[0][0]

    yield {
        "key": "last_event_ingested_timestamp",
        "metric": "Last event ingested",
        "value": last_event_ingested_timestamp,
    }

    dead_letter_queue_size = get_dead_letter_queue_size()

    yield {
        "key": "dead_letter_queue_size",
        "metric": "Dead letter queue size",
        "value": dead_letter_queue_size,
    }

    dead_letter_queue_events_last_day = get_dead_letter_queue_events_last_24h()

    yield {
        "key": "dead_letter_queue_events_last_day",
        "metric": "Events sent to dead letter queue in the last 24h",
        "value": dead_letter_queue_events_last_day,
    }

    total_events_ingested_last_day = sync_execute(
        "SELECT count(*) as b from events WHERE _timestamp >= (NOW() - INTERVAL 1 DAY)"
    )[0][0]
    dead_letter_queue_ingestion_ratio = dead_letter_queue_events_last_day / max(
        dead_letter_queue_events_last_day + total_events_ingested_last_day, 1
    )

    # if the dead letter queue has as many events today as ingestion, issue an alert
    dead_letter_queue_events_high = dead_letter_queue_ingestion_ratio >= 0.2

    yield {
        "key": "dead_letter_queue_ratio_ok",
        "metric": "Dead letter queue ratio healthy",
        "value": not dead_letter_queue_events_high,
    }


def is_alive() -> bool:
    try:
        sync_execute("SELECT 1")
        return True
    except:
        return False


def get_clickhouse_running_queries() -> List[Dict]:
    return query_with_columns(
        "SELECT elapsed as duration, query, * FROM system.processes ORDER BY duration DESC",
        columns_to_remove=["address", "initial_address", "elapsed"],
    )


def get_clickhouse_slow_log() -> List[Dict]:
    return query_with_columns(
        f"""
            SELECT query_duration_ms as duration, query, *
            FROM system.query_log
            WHERE query_duration_ms > {SLOW_THRESHOLD_MS}
              AND event_time > %(after)s
              AND query NOT LIKE '%%system.query_log%%'
              AND query NOT LIKE '%%analyze_query:%%'
            ORDER BY duration DESC
            LIMIT 200
        """,
        {"after": timezone.now() - SLOW_AFTER},
        columns_to_remove=[
            "address",
            "initial_address",
            "query_duration_ms",
            "event_time",
            "event_date",
            "query_start_time_microseconds",
            "thread_ids",
            "ProfileEvents.Names",
            "ProfileEvents.Values",
            "Settings.Names",
            "Settings.Values",
        ],
    )


def query_with_columns(query, args=None, columns_to_remove=[]) -> List[Dict]:
    metrics, types = sync_execute(query, args, with_column_types=True)
    type_names = [key for key, _type in types]

    rows = []
    for row in metrics:
        result = {}
        for type_name, value in zip(type_names, row):
            if isinstance(value, list):
                value = ", ".join(map(str, value))
            if type_name not in columns_to_remove:
                result[type_name] = value

        rows.append(result)

    return rows


def analyze_query(query: str):
    random_id = str(uuid.uuid4())

    # :TRICKY: Ensure all queries run on the same host.
    ch_pool = make_ch_pool(host=CLICKHOUSE_STABLE_HOST)

    with ch_pool.get_client() as conn:
        conn.execute(
            f"""
            -- analyze_query:{random_id}
            {query}
            """,
            settings={
                "allow_introspection_functions": 1,
                "query_profiler_real_time_period_ns": 40000000,
                "query_profiler_cpu_time_period_ns": 40000000,
                "memory_profiler_step": 1048576,
                "max_untracked_memory": 1048576,
                "memory_profiler_sample_probability": 0.01,
                "use_uncompressed_cache": 0,
                "readonly": 1,
                "allow_ddl": 0,
            },
        )

        query_id, timing_info = get_query_timing_info(random_id, conn)

        return {
            "query": sqlparse.format(query, reindent_aligned=True),
            "timing": timing_info,
            "flamegraphs": get_flamegraphs(query_id),
        }


def get_query_timing_info(random_id: str, conn: Client) -> Tuple[str, Dict]:
    conn.execute("SYSTEM FLUSH LOGS")
    results = conn.execute(
        """
        SELECT
            query_id,
            event_time,
            query_duration_ms,
            read_rows,
            formatReadableSize(read_bytes) as read_size,
            result_rows,
            formatReadableSize(result_bytes) as result_size,
            formatReadableSize(memory_usage) as memory_usage
        FROM system.query_log
        WHERE query NOT LIKE '%%query_log%%'
          AND match(query, %(expr)s)
          AND type = 'QueryFinish'
        LIMIT 1
    """,
        {"expr": f"analyze_query:{random_id}"},
    )

    return (
        results[0][0],
        dict(
            zip(
                [
                    "query_id",
                    "event_time",
                    "query_duration_ms",
                    "read_rows",
                    "read_size",
                    "result_rows",
                    "result_size",
                    "memory_usage",
                ],
                results[0],
            )
        ),
    )


def get_flamegraphs(query_id: str) -> Dict:
    try:
        with tempfile.TemporaryDirectory() as tmpdirname:
            subprocess.run(
                [
                    CLICKHOUSE_FLAMEGRAPH_EXECUTABLE,
                    "--query-id",
                    query_id,
                    "--clickhouse-dsn",
                    f"http://{CLICKHOUSE_USER}:{CLICKHOUSE_PASSWORD}@{CLICKHOUSE_STABLE_HOST}:8123/",
                    "--console",
                    "--flamegraph-script",
                    FLAMEGRAPH_PL,
                    "--date-from",
                    "2021-01-01",
                    "--width",
                    "1900",
                ],
                cwd=tmpdirname,
                check=True,
            )

            flamegraphs = {}
            for file_path in glob.glob(join(tmpdirname, "*/*/global*.svg")):
                with open(file_path) as file:
                    flamegraphs[basename(file_path)] = file.read()

            return flamegraphs
    except Exception as err:
        capture_exception(err)
        return {}