import json
import logging
import random
import threading
import os

import pytest

from helpers.cluster import ClickHouseCluster, ClickHouseInstance

import helpers.client

logging.getLogger().setLevel(logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler())


# Creates S3 bucket for tests and allows anonymous read-write access to it.
def prepare_s3_bucket(cluster):
    # Allows read-write access for bucket without authorization.
    bucket_read_write_policy = {"Version": "2012-10-17",
                                "Statement": [
                                    {
                                        "Sid": "",
                                        "Effect": "Allow",
                                        "Principal": {"AWS": "*"},
                                        "Action": "s3:GetBucketLocation",
                                        "Resource": "arn:aws:s3:::root"
                                    },
                                    {
                                        "Sid": "",
                                        "Effect": "Allow",
                                        "Principal": {"AWS": "*"},
                                        "Action": "s3:ListBucket",
                                        "Resource": "arn:aws:s3:::root"
                                    },
                                    {
                                        "Sid": "",
                                        "Effect": "Allow",
                                        "Principal": {"AWS": "*"},
                                        "Action": "s3:GetObject",
                                        "Resource": "arn:aws:s3:::root/*"
                                    },
                                    {
                                        "Sid": "",
                                        "Effect": "Allow",
                                        "Principal": {"AWS": "*"},
                                        "Action": "s3:PutObject",
                                        "Resource": "arn:aws:s3:::root/*"
                                    }
                                ]}

    minio_client = cluster.minio_client
    minio_client.set_bucket_policy(cluster.minio_bucket, json.dumps(bucket_read_write_policy))

    cluster.minio_restricted_bucket = "{}-with-auth".format(cluster.minio_bucket)
    if minio_client.bucket_exists(cluster.minio_restricted_bucket):
        minio_client.remove_bucket(cluster.minio_restricted_bucket)

    minio_client.make_bucket(cluster.minio_restricted_bucket)


# Returns content of given S3 file as string.
def get_s3_file_content(cluster, bucket, filename):
    # type: (ClickHouseCluster, str) -> str

    data = cluster.minio_client.get_object(bucket, filename)
    data_str = ""
    for chunk in data.stream():
        data_str += chunk
    return data_str


# Returns nginx access log lines.
def get_nginx_access_logs():
    handle = open("/nginx/access.log", "r")
    data = handle.readlines()
    handle.close()
    return data


@pytest.fixture(scope="module")
def cluster():
    try:
        cluster = ClickHouseCluster(__file__)
        cluster.add_instance("restricted_dummy", main_configs=["configs/config_for_test_remote_host_filter.xml"],
                             with_minio=True)
        cluster.add_instance("dummy", with_minio=True, main_configs=["configs/defaultS3.xml"])
        logging.info("Starting cluster...")
        cluster.start()
        logging.info("Cluster started")

        prepare_s3_bucket(cluster)
        logging.info("S3 bucket created")
        run_s3_mock(cluster)

        yield cluster
    finally:
        cluster.shutdown()


def run_query(instance, query, stdin=None, settings=None):
    # type: (ClickHouseInstance, str, object, dict) -> str

    logging.info("Running query '{}'...".format(query))
    result = instance.query(query, stdin=stdin, settings=settings)
    logging.info("Query finished")

    return result


# Test simple put.
@pytest.mark.parametrize("maybe_auth,positive", [
    ("", True),
    ("'minio','minio123',", True),
    ("'wrongid','wrongkey',", False)
])
def test_put(cluster, maybe_auth, positive):
    # type: (ClickHouseCluster) -> None

    bucket = cluster.minio_bucket if not maybe_auth else cluster.minio_restricted_bucket
    instance = cluster.instances["dummy"]  # type: ClickHouseInstance
    table_format = "column1 UInt32, column2 UInt32, column3 UInt32"
    values = "(1, 2, 3), (3, 2, 1), (78, 43, 45)"
    values_csv = "1,2,3\n3,2,1\n78,43,45\n"
    filename = "test.csv"
    put_query = "insert into table function s3('http://{}:{}/{}/{}', {}'CSV', '{}') values {}".format(
        cluster.minio_host, cluster.minio_port, bucket, filename, maybe_auth, table_format, values)

    try:
        run_query(instance, put_query)
    except helpers.client.QueryRuntimeException:
        if positive:
            raise
    else:
        assert positive
        assert values_csv == get_s3_file_content(cluster, bucket, filename)


# Test put values in CSV format.
@pytest.mark.parametrize("maybe_auth,positive", [
    ("", True),
    ("'minio','minio123',", True),
    ("'wrongid','wrongkey',", False)
])
def test_put_csv(cluster, maybe_auth, positive):
    # type: (ClickHouseCluster) -> None

    bucket = cluster.minio_bucket if not maybe_auth else cluster.minio_restricted_bucket
    instance = cluster.instances["dummy"]  # type: ClickHouseInstance
    table_format = "column1 UInt32, column2 UInt32, column3 UInt32"
    filename = "test.csv"
    put_query = "insert into table function s3('http://{}:{}/{}/{}', {}'CSV', '{}') format CSV".format(
        cluster.minio_host, cluster.minio_port, bucket, filename, maybe_auth, table_format)
    csv_data = "8,9,16\n11,18,13\n22,14,2\n"

    try:
        run_query(instance, put_query, stdin=csv_data)
    except helpers.client.QueryRuntimeException:
        if positive:
            raise
    else:
        assert positive
        assert csv_data == get_s3_file_content(cluster, bucket, filename)


# Test put and get with S3 server redirect.
def test_put_get_with_redirect(cluster):
    # type: (ClickHouseCluster) -> None

    bucket = cluster.minio_bucket
    instance = cluster.instances["dummy"]  # type: ClickHouseInstance
    table_format = "column1 UInt32, column2 UInt32, column3 UInt32"
    values = "(1, 1, 1), (1, 1, 1), (11, 11, 11)"
    values_csv = "1,1,1\n1,1,1\n11,11,11\n"
    filename = "test.csv"
    query = "insert into table function s3('http://{}:{}/{}/{}', 'CSV', '{}') values {}".format(
        cluster.minio_redirect_host, cluster.minio_redirect_port, bucket, filename, table_format, values)
    run_query(instance, query)

    assert values_csv == get_s3_file_content(cluster, bucket, filename)

    query = "select *, column1*column2*column3 from s3('http://{}:{}/{}/{}', 'CSV', '{}')".format(
        cluster.minio_redirect_host, cluster.minio_redirect_port, bucket, filename, table_format)
    stdout = run_query(instance, query)

    assert list(map(str.split, stdout.splitlines())) == [
        ["1", "1", "1", "1"],
        ["1", "1", "1", "1"],
        ["11", "11", "11", "1331"],
    ]


def test_put_get_with_globs(cluster):
    # type: (ClickHouseCluster) -> None

    bucket = cluster.minio_bucket
    instance = cluster.instances["dummy"]  # type: ClickHouseInstance
    table_format = "column1 UInt32, column2 UInt32, column3 UInt32"
    max_path = ""
    for i in range(10):
        for j in range(10):
            path = "{}_{}/{}.csv".format(i, random.choice(['a', 'b', 'c', 'd']), j)
            max_path = max(path, max_path)
            values = "({},{},{})".format(i, j, i + j)
            query = "insert into table function s3('http://{}:{}/{}/{}', 'CSV', '{}') values {}".format(
                cluster.minio_host, cluster.minio_port, bucket, path, table_format, values)
            run_query(instance, query)

    query = "select sum(column1), sum(column2), sum(column3), min(_file), max(_path) from s3('http://{}:{}/{}/*_{{a,b,c,d}}/%3f.csv', 'CSV', '{}')".format(
        cluster.minio_redirect_host, cluster.minio_redirect_port, bucket, table_format)
    assert run_query(instance, query).splitlines() == [
        "450\t450\t900\t0.csv\t{bucket}/{max_path}".format(bucket=bucket, max_path=max_path)]


# Test multipart put.
@pytest.mark.parametrize("maybe_auth,positive", [
    ("", True),
    # ("'minio','minio123',",True), Redirect with credentials not working with nginx.
    ("'wrongid','wrongkey',", False)
])
def test_multipart_put(cluster, maybe_auth, positive):
    # type: (ClickHouseCluster) -> None

    bucket = cluster.minio_bucket if not maybe_auth else cluster.minio_restricted_bucket
    instance = cluster.instances["dummy"]  # type: ClickHouseInstance
    table_format = "column1 UInt32, column2 UInt32, column3 UInt32"

    # Minimum size of part is 5 Mb for Minio.
    # See: https://github.com/minio/minio/blob/master/docs/minio-limits.md
    min_part_size_bytes = 5 * 1024 * 1024
    csv_size_bytes = int(min_part_size_bytes * 1.5)  # To have 2 parts.

    one_line_length = 6  # 3 digits, 2 commas, 1 line separator.

    # Generate data having size more than one part
    int_data = [[1, 2, 3] for i in range(csv_size_bytes / one_line_length)]
    csv_data = "".join(["{},{},{}\n".format(x, y, z) for x, y, z in int_data])

    assert len(csv_data) > min_part_size_bytes

    filename = "test_multipart.csv"
    put_query = "insert into table function s3('http://{}:{}/{}/{}', {}'CSV', '{}') format CSV".format(
        cluster.minio_redirect_host, cluster.minio_redirect_port, bucket, filename, maybe_auth, table_format)

    try:
        run_query(instance, put_query, stdin=csv_data, settings={'s3_min_upload_part_size': min_part_size_bytes})
    except helpers.client.QueryRuntimeException:
        if positive:
            raise
    else:
        assert positive

        # Use Nginx access logs to count number of parts uploaded to Minio.
        nginx_logs = get_nginx_access_logs()
        uploaded_parts = filter(lambda log_line: log_line.find(filename) >= 0 and log_line.find("PUT") >= 0, nginx_logs)
        assert len(uploaded_parts) > 1

        assert csv_data == get_s3_file_content(cluster, bucket, filename)


def test_remote_host_filter(cluster):
    instance = cluster.instances["restricted_dummy"]
    format = "column1 UInt32, column2 UInt32, column3 UInt32"

    query = "select *, column1*column2*column3 from s3('http://{}:{}/{}/test.csv', 'CSV', '{}')".format(
        "invalid_host", cluster.minio_port, cluster.minio_bucket, format)
    assert "not allowed in config.xml" in instance.query_and_get_error(query)

    other_values = "(1, 1, 1), (1, 1, 1), (11, 11, 11)"
    query = "insert into table function s3('http://{}:{}/{}/test.csv', 'CSV', '{}') values {}".format(
        "invalid_host", cluster.minio_port, cluster.minio_bucket, format, other_values)
    assert "not allowed in config.xml" in instance.query_and_get_error(query)


@pytest.mark.parametrize("s3_storage_args", [
    "''",  # 1 arguments
    "'','','','','',''"  # 6 arguments
])
def test_wrong_s3_syntax(cluster, s3_storage_args):
    instance = cluster.instances["dummy"]  # type: ClickHouseInstance
    expected_err_msg = "Code: 42"  # NUMBER_OF_ARGUMENTS_DOESNT_MATCH

    query = "create table test_table_s3_syntax (id UInt32) ENGINE = S3({})".format(s3_storage_args)
    assert expected_err_msg in instance.query_and_get_error(query)


# https://en.wikipedia.org/wiki/One_Thousand_and_One_Nights
def test_s3_glob_scheherazade(cluster):
    bucket = cluster.minio_bucket
    instance = cluster.instances["dummy"]  # type: ClickHouseInstance
    table_format = "column1 UInt32, column2 UInt32, column3 UInt32"
    max_path = ""
    values = "(1, 1, 1)"
    nights_per_job = 1001 // 30
    jobs = []
    for night in range(0, 1001, nights_per_job):
        def add_tales(start, end):
            for i in range(start, end):
                path = "night_{}/tale.csv".format(i)
                query = "insert into table function s3('http://{}:{}/{}/{}', 'CSV', '{}') values {}".format(
                    cluster.minio_host, cluster.minio_port, bucket, path, table_format, values)
                run_query(instance, query)

        jobs.append(threading.Thread(target=add_tales, args=(night, min(night+nights_per_job, 1001))))
        jobs[-1].start()

    for job in jobs:
        job.join()

    query = "select count(), sum(column1), sum(column2), sum(column3) from s3('http://{}:{}/{}/night_*/tale.csv', 'CSV', '{}')".format(
        cluster.minio_redirect_host, cluster.minio_redirect_port, bucket, table_format)
    assert run_query(instance, query).splitlines() == ["1001\t1001\t1001\t1001"]


def run_s3_mock(cluster):
    logging.info("Starting s3 mock")
    container_id = cluster.get_container_id('resolver')
    current_dir = os.path.dirname(__file__)
    cluster.copy_file_to_container(container_id, os.path.join(current_dir, "s3_mock", "mock_s3.py"), "mock_s3.py")
    cluster.exec_in_container(container_id, ["python", "mock_s3.py"], detach=True)
    logging.info("S3 mock started")


# Test get values in CSV format with default settings.
def test_get_csv_default(cluster):
    ping_response = cluster.exec_in_container(cluster.get_container_id('resolver'), ["curl", "-s", "http://resolver:8080"])
    assert ping_response == 'OK', 'Expected "OK", but got "{}"'.format(ping_response)
    
    table_format = "column1 UInt32, column2 UInt32, column3 UInt32"
    filename = "test.csv"
    get_query = "select * from s3('http://resolver:8080/{bucket}/{file}', 'CSV', '{table_format}')".format(
        bucket=cluster.minio_restricted_bucket,
        file=filename,
        table_format=table_format)

    instance = cluster.instances["dummy"]  # type: ClickHouseInstance
    result = run_query(instance, get_query)
    assert result == '1\t2\t3\n'