import logging
import random
import string

import pytest
from helpers.cluster import ClickHouseCluster


@pytest.fixture(scope="module")
def cluster():
    try:
        cluster = ClickHouseCluster(__file__)

        cluster.add_instance(
            "node1",
            main_configs=["configs/config.d/storage_conf.xml"],
            macros={"replica": "1"},
            with_minio=True,
            with_zookeeper=True,
        )
        cluster.add_instance(
            "node2",
            main_configs=["configs/config.d/storage_conf.xml"],
            macros={"replica": "2"},
            with_zookeeper=True,
        )
        cluster.add_instance(
            "node3",
            main_configs=["configs/config.d/storage_conf.xml"],
            macros={"replica": "3"},
            with_zookeeper=True,
        )

        logging.info("Starting cluster...")
        cluster.start()
        logging.info("Cluster started")

        yield cluster
    finally:
        cluster.shutdown()


FILES_OVERHEAD = 1
FILES_OVERHEAD_PER_COLUMN = 2  # Data and mark files
FILES_OVERHEAD_PER_PART_WIDE = FILES_OVERHEAD_PER_COLUMN * 3 + 2 + 6 + 1
FILES_OVERHEAD_PER_PART_COMPACT = 10 + 1


def random_string(length):
    letters = string.ascii_letters
    return "".join(random.choice(letters) for i in range(length))


def generate_values(date_str, count, sign=1):
    data = [[date_str, sign * (i + 1), random_string(10)] for i in range(count)]
    data.sort(key=lambda tup: tup[1])
    return ",".join(["('{}',{},'{}')".format(x, y, z) for x, y, z in data])


def create_table(cluster, additional_settings=None):
    create_table_statement = """
        CREATE TABLE s3_test ON CLUSTER cluster(
            dt Date,
            id Int64,
            data String,
            INDEX min_max (id) TYPE minmax GRANULARITY 3
        ) ENGINE=ReplicatedMergeTree()
        PARTITION BY dt
        ORDER BY (dt, id)
        SETTINGS storage_policy='s3'
        """
    if additional_settings:
        create_table_statement += ","
        create_table_statement += additional_settings

    list(cluster.instances.values())[0].query(create_table_statement)


@pytest.fixture(autouse=True)
def drop_table(cluster):
    yield
    for node in list(cluster.instances.values()):
        node.query("DROP TABLE IF EXISTS s3_test")

    minio = cluster.minio_client
    # Remove extra objects to prevent tests cascade failing
    for obj in list(minio.list_objects(cluster.minio_bucket, "data/")):
        minio.remove_object(cluster.minio_bucket, obj.object_name)


@pytest.mark.parametrize(
    "min_rows_for_wide_part,files_per_part",
    [(0, FILES_OVERHEAD_PER_PART_WIDE), (8192, FILES_OVERHEAD_PER_PART_COMPACT)],
)
def test_insert_select_replicated(cluster, min_rows_for_wide_part, files_per_part):
    create_table(
        cluster,
        additional_settings="min_rows_for_wide_part={}".format(min_rows_for_wide_part),
    )

    all_values = ""
    for node_idx in range(1, 4):
        node = cluster.instances["node" + str(node_idx)]
        values = generate_values("2020-01-0" + str(node_idx), 4096)
        node.query(
            "INSERT INTO s3_test VALUES {}".format(values),
            settings={"insert_quorum": 3},
        )
        if node_idx != 1:
            all_values += ","
        all_values += values

    for node_idx in range(1, 4):
        node = cluster.instances["node" + str(node_idx)]
        assert (
            node.query(
                "SELECT * FROM s3_test order by dt, id FORMAT Values",
                settings={"select_sequential_consistency": 1},
            )
            == all_values
        )

    minio = cluster.minio_client
    assert len(list(minio.list_objects(cluster.minio_bucket, "data/"))) == 3 * (
        FILES_OVERHEAD + files_per_part * 3
    )