#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.

import argparse
import glob
import math
import os
import random
import re
import shlex
import shutil
import subprocess
import sys
import tempfile
import time

per_iteration_random_seed_override = 0
remain_argv = None
is_remote_db = False

_SIGTERM_STDOUT_MARKER = "Received signal 15 (Terminated)"
_IGNORED_SIGTERM_STDERR_RE = re.compile(
    r"^PosixRandomAccessFile::MultiRead: io_uring_submit_and_wait "
    r"returned terminal error: -9\.$"
)
_NO_SPACE_SUBSTRINGS = (
    "no space left on device",
    "out of disk space",
    "out of space",
    "enospc",
)
_OUTPUT_PATH_RE = re.compile(r"(/[^\s]+)")
_TSAN_OPTIONS_ENV_VAR = "TSAN_OPTIONS"
_TSAN_SUPPRESSIONS_FILE = os.path.abspath(
    os.path.join(os.path.dirname(__file__), "tsan_suppressions.txt")
)


def get_random_seed(override):
    if override == 0:
        return random.randint(1, 2**64)
    else:
        return override


def quote_arg_for_display(arg):
    """
    Quote only the value after '=' for shell display.
    This makes the printed command safe to copy/paste into a Unix shell.
    Note: shlex is Unix-focused; Non-Unix shell users may need to adjust quoting after copying.
    """
    if "=" not in arg:
        return arg
    flag, value = arg.split("=", 1)
    return f"{flag}={shlex.quote(value)}"


def stress_cmd_env():
    env = os.environ.copy()
    if (
        _TSAN_OPTIONS_ENV_VAR not in env
        and os.path.exists(_TSAN_SUPPRESSIONS_FILE)
    ):
        env[_TSAN_OPTIONS_ENV_VAR] = "suppressions=" + _TSAN_SUPPRESSIONS_FILE
    return env


def early_argument_parsing_before_main():
    parser = argparse.ArgumentParser()
    parser.add_argument(
        "--initial_random_seed_override",
        default=0,
        type=int,
        help="Random seed used for initialize the test parameters at the beginning of stress test run",
    )
    # sometimes the failure appeared after a few iteration, to reproduce the error, we have to wait for the test to run
    # multiple iterations to reach the iteration that fails the test. By overriding the seed used within each iteration,
    # we could skip all the previous iterations.
    parser.add_argument(
        "--per_iteration_random_seed_override",
        default=0,
        type=int,
        help="Random seed used for initialize the test parameters in each iteration of the stress test run",
    )

    global remain_args
    args, remain_args = parser.parse_known_args()
    init_random_seed = get_random_seed(args.initial_random_seed_override)
    global per_iteration_random_seed_override
    per_iteration_random_seed_override = args.per_iteration_random_seed_override
    global is_remote_db
    # Set is_remote_db if remain_args has a non-empty --env_uri= or --fs_uri= argument
    for arg in remain_args:
        parts = arg.split("=", 1)
        if parts[0] in ["--env_uri", "--fs_uri"] and len(parts) > 1 and parts[1]:
            is_remote_db = True
            break

    print(f"Start with random seed {init_random_seed}")
    random.seed(init_random_seed)


def apply_random_seed_per_iteration():
    per_iteration_random_seed = get_random_seed(per_iteration_random_seed_override)
    print(f"Use random seed for iteration {per_iteration_random_seed}")
    random.seed(per_iteration_random_seed)


# Random seed has to be setup before the rest of the script, so that the random
# value selected in the global variable uses the random seed specified. More
# arguments can also be parsed early.
early_argument_parsing_before_main()

# params overwrite priority:
#   for default:
#       default_params < {blackbox,whitebox}_default_params < args
#   for simple:
#       default_params < {blackbox,whitebox}_default_params <
#       simple_default_params <
#       {blackbox,whitebox}_simple_default_params < args
#   for cf_consistency:
#       default_params < {blackbox,whitebox}_default_params <
#       cf_consistency_params < args
#   for txn:
#       default_params < {blackbox,whitebox}_default_params < txn_params < args
#   for ts:
#       default_params < {blackbox,whitebox}_default_params < ts_params < args
#   for multiops_txn:
#       default_params < {blackbox,whitebox}_default_params < multiops_txn_params < args


default_params = {
    "acquire_snapshot_one_in": lambda: random.choice([100, 10000]),
    "backup_max_size": 100 * 1024 * 1024,
    # Consider larger number when backups considered more stable
    "backup_one_in": lambda: random.choice([1000, 100000]),
    "batch_protection_bytes_per_key": lambda: random.choice([0, 8]),
    "memtable_protection_bytes_per_key": lambda: random.choice([0, 1, 2, 4, 8]),
    "block_protection_bytes_per_key": lambda: random.choice([0, 1, 2, 4, 8]),
    "block_size": 16384,
    "bloom_bits": lambda: random.choice(
        [random.randint(0, 19), random.lognormvariate(2.3, 1.3)]
    ),
    "cache_index_and_filter_blocks": lambda: random.randint(0, 1),
    "cache_size": lambda: random.choice([8388608, 33554432]),
    "charge_compression_dictionary_building_buffer": lambda: random.choice([0, 1]),
    "charge_filter_construction": lambda: random.choice([0, 1]),
    "charge_table_reader": lambda: random.choice([0, 1]),
    "charge_file_metadata": lambda: random.choice([0, 1]),
    "checkpoint_one_in": lambda: random.choice([0, 0, 10000, 1000000]),
    "compression_type": lambda: random.choice(
        ["none", "snappy", "zlib", "lz4", "lz4hc", "xpress", "zstd"]
    ),
    "bottommost_compression_type": lambda: (
        "disable"
        if random.randint(0, 1) == 0
        else random.choice(["none", "snappy", "zlib", "lz4", "lz4hc", "xpress", "zstd"])
    ),
    "checksum_type": lambda: random.choice(
        ["kNoChecksum", "kCRC32c", "kxxHash", "kxxHash64", "kXXH3"]
    ),
    "compression_max_dict_bytes": lambda: 16384 * random.randint(0, 1),
    "compression_zstd_max_train_bytes": lambda: 65536 * random.randint(0, 1),
    "compression_parallel_threads": lambda: random.choice([1, 1, 2, 3, 4, 5, 8, 9, 16]),
    "compression_max_dict_buffer_bytes": lambda: (1 << random.randint(0, 40)) - 1,
    "compression_use_zstd_dict_trainer": lambda: random.randint(0, 1),
    "compression_checksum": lambda: random.randint(0, 1),
    "clear_column_family_one_in": 0,
    "compact_files_one_in": lambda: random.choice([1000, 1000000]),
    "compact_range_one_in": lambda: random.choice([1000, 1000000]),
    # Disabled because of various likely related failures with
    # "Cannot delete table file #N from level 0 since it is on level X"
    "promote_l0_one_in": 0,
    "compaction_pri": random.randint(0, 4),
    "key_may_exist_one_in": lambda: random.choice([100, 100000]),
    "data_block_index_type": lambda: random.choice([0, 1]),
    "decouple_partitioned_filters": lambda: random.choice([0, 1, 1]),
    "delpercent": 4,
    "delrangepercent": 1,
    "destroy_db_initially": 0,
    "enable_pipelined_write": lambda: random.randint(0, 1),
    "enable_compaction_filter": lambda: random.choice([0, 0, 0, 1]),
    "enable_compaction_on_deletion_trigger": lambda: random.choice([0, 0, 0, 1]),
    # `inplace_update_support` is incompatible with a wide range of features.
    # The current sanitization process is not sufficient to reliably handle
    # this. While inplace_update_support is intended to stay on across runs
    # in default_params, in certain runs it can be toggled off by
    # sanitization due to some incompatible features being enabled. When
    # inplace_update_support is off, other incompatible features such as
    # delete range may be enabled and leave state in the DB. A later run
    # reads default_params again with inplace_update_support on, but now
    # operates on a DB containing delete range data from the previous run,
    # causing stress test failures. Temporarily disabled until the
    # sanitization can account for cross-run incompatibility.
    "inplace_update_support": 0,
    "expected_values_dir": lambda: setup_expected_values_dir(),
    "flush_one_in": lambda: random.choice([1000, 1000000]),
    "manual_wal_flush_one_in": lambda: random.choice([0, 1000]),
    "sync_wal_one_in": 0,
    "file_checksum_impl": lambda: random.choice(["none", "crc32c", "xxh64", "big"]),
    "get_live_files_apis_one_in": lambda: random.choice([10000, 1000000]),
    "checkpoint_atomic_flush": lambda: random.choice([0, 1]),
    "get_all_column_family_metadata_one_in": lambda: random.choice([10000, 1000000]),
    # Note: the following two are intentionally disabled as the corresponding
    # APIs are not guaranteed to succeed.
    "get_sorted_wal_files_one_in": 0,
    "get_current_wal_file_one_in": 0,
    # Temporarily disable hash index
    "index_type": lambda: random.choice([0, 0, 0, 2, 2, 3]),
    "index_block_search_type": lambda: random.choice([0, 1, 2]),
    "uniform_cv_threshold": lambda: random.choice([-1, 0.2, 1000]),
    "ingest_external_file_one_in": lambda: random.choice([1000, 1000000]),
    "test_ingest_standalone_range_deletion_one_in": lambda: random.choice([0, 5, 10]),
    "iterpercent": 10,
    "lock_wal_one_in": lambda: random.choice([10000, 1000000]),
    "mark_for_compaction_one_file_in": lambda: 10 * random.randint(0, 1),
    "max_background_compactions": lambda: random.choice([2, 20]),
    "num_bottom_pri_threads": lambda: random.choice([0, 1, 20]),
    "max_bytes_for_level_base": 10485760,
    # max_key has to be the same across invocations for verification to work, hence no lambda
    "max_key": random.choice([100000, 25000000]),
    "max_sequential_skip_in_iterations": lambda: random.choice([1, 2, 8, 16]),
    "max_write_buffer_number": 3,
    "mmap_read": lambda: random.choice([0, 0, 1]),
    # Setting `nooverwritepercent > 0` is only possible because we do not vary
    # the random seed, so the same keys are chosen by every run for disallowing
    # overwrites.
    "nooverwritepercent": 1,
    "open_files": lambda: random.choice([-1, -1, 100, 500000]),
    "open_files_async": lambda: random.choice([0, 1]),
    "optimize_filters_for_memory": lambda: random.randint(0, 1),
    "partition_filters": lambda: random.randint(0, 1),
    "partition_pinning": lambda: random.randint(0, 3),
    "rate_limit_auto_wal_flush": 0,
    "reset_stats_one_in": lambda: random.choice([10000, 1000000]),
    "pause_background_one_in": lambda: random.choice([10000, 1000000]),
    "disable_file_deletions_one_in": lambda: random.choice([10000, 1000000]),
    "disable_manual_compaction_one_in": lambda: random.choice([10000, 1000000]),
    "abort_and_resume_compactions_one_in": lambda: random.choice([10000, 1000000]),
    "prefix_size": lambda: random.choice([-1, 1, 5, 7, 8]),
    "prefixpercent": 5,
    "progress_reports": 0,
    "readpercent": 45,
    # See disabled DBWALTest.RecycleMultipleWalsCrash
    "recycle_log_file_num": 0,
    "snapshot_hold_ops": 100000,
    "sqfc_name": lambda: random.choice(["foo", "bar"]),
    # 0 = disable writing SstQueryFilters
    "sqfc_version": lambda: random.choice([0, 1, 1, 2, 2]),
    "sst_file_manager_bytes_per_sec": lambda: random.choice([0, 104857600]),
    "sst_file_manager_bytes_per_truncate": lambda: random.choice([0, 1048576]),
    "long_running_snapshots": lambda: random.randint(0, 1),
    "subcompactions": lambda: random.randint(1, 4),
    "target_file_size_base": lambda: random.choice([512 * 1024, 2048 * 1024]),
    "target_file_size_multiplier": 2,
    "test_batches_snapshots": random.randint(0, 1),
    "top_level_index_pinning": lambda: random.randint(0, 3),
    "unpartitioned_pinning": lambda: random.randint(0, 3),
    "use_direct_reads": lambda: random.randint(0, 1),
    "use_direct_io_for_flush_and_compaction": lambda: random.randint(0, 1),
    "use_sqfc_for_range_queries": lambda: random.choice([0, 1, 1, 1]),
    "mock_direct_io": False,
    "cache_type": lambda: random.choice(
        [
            "lru_cache",
            "fixed_hyper_clock_cache",
            "auto_hyper_clock_cache",
            "auto_hyper_clock_cache",
            "tiered_lru_cache",
            "tiered_fixed_hyper_clock_cache",
            "tiered_auto_hyper_clock_cache",
            "tiered_auto_hyper_clock_cache",
        ]
    ),
    "uncache_aggressiveness": lambda: int(math.pow(10, 4.0 * random.random()) - 1.0),
    "use_full_merge_v1": lambda: random.randint(0, 1),
    "use_merge": lambda: random.randint(0, 1),
    # use_trie_index must be the same across invocations so that all SSTs
    # in a DB are opened with matching table options.
    "use_trie_index": random.choice([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1]),
    # use_udi_as_primary_index must be the same across invocations (like
    # use_trie_index) so that SSTs written in primary mode can be read on
    # reopen.
    "use_udi_as_primary_index": random.choice([0, 0, 0, 1]),
    # use_put_entity_one_in has to be the same across invocations for verification to work, hence no lambda
    "use_put_entity_one_in": random.choice([0] * 7 + [1, 5, 10]),
    "use_attribute_group": lambda: random.randint(0, 1),
    "use_multi_cf_iterator": lambda: random.randint(0, 1),
    # 999 -> use Bloom API
    "bloom_before_level": lambda: random.choice(
        [random.randint(-1, 2), random.randint(-1, 10), 0x7FFFFFFF - 1, 0x7FFFFFFF]
    ),
    "value_size_mult": 32,
    "verification_only": 0,
    "verify_checksum": 1,
    "write_buffer_size": lambda: random.choice([1024 * 1024, 4 * 1024 * 1024]),
    "writepercent": 35,
    "format_version": lambda: random.choice([2, 3, 4, 5, 6, 7, 7]),
    "separate_key_value_in_data_block": lambda: random.choice([0, 1, 1]),
    "index_block_restart_interval": lambda: random.choice(range(1, 16)),
    "use_multiget": lambda: random.randint(0, 1),
    "use_get_entity": lambda: random.choice([0] * 7 + [1]),
    "use_multi_get_entity": lambda: random.choice([0] * 7 + [1]),
    "periodic_compaction_seconds": lambda: random.choice([0, 0, 1, 2, 10, 100, 1000]),
    "max_compaction_trigger_wakeup_seconds": lambda: random.choice([43200, 600, 30]),
    "read_triggered_compaction_threshold": lambda: random.choice([0.0, 0.001, 0.01]),
    "daily_offpeak_time_utc": lambda: random.choice(
        ["", "", "00:00-23:59", "04:00-08:00", "23:30-03:15"]
    ),
    # 0 = never (used by some), 10 = often (for threading bugs), 600 = default
    "stats_dump_period_sec": lambda: random.choice([0, 10, 600]),
    "compaction_ttl": lambda: random.choice([0, 0, 1, 2, 10, 100, 1000]),
    "fifo_allow_compaction": lambda: random.randint(0, 1),
    # TODO(T260692223): FIFO compaction drops old SST files when total size
    # exceeds the limit, but the stress test expected state can't track these
    # drops. max_table_files_size is always active (default 1GB) so set it
    # very high. max_data_files_size when non-zero overrides max_table_files_size;
    # randomize between 0 (fallback to max_table_files_size) and very high.
    # Long-term, handle drops via OnCompactionBegin + SetPendingDel() as
    # concurrent deletes.
    "fifo_compaction_max_data_files_size_mb": lambda: random.choice(
        [0, 100 * 1024]  # 0 = disabled (defers to max_table_files_size), 100GB
    ),
    "fifo_compaction_max_table_files_size_mb": 100 * 1024,  # 100GB, always high
    "fifo_compaction_use_kv_ratio_compaction": lambda: random.randint(0, 1),
    # Test small max_manifest_file_size in a smaller chance, as most of the
    # time we wnat manifest history to be preserved to help debug
    "max_manifest_file_size": lambda: random.choice(
        [t * 2048 if t < 5 else 1024 * 1024 * 1024 for t in range(1, 30)]
    ),
    "verify_manifest_content_on_close": lambda: random.randint(0, 1),
    "max_manifest_space_amp_pct": lambda: random.choice([0, 10, 100, 1000]),
    # Sync mode might make test runs slower so running it in a smaller chance
    "sync": lambda: random.choice([1 if t == 0 else 0 for t in range(0, 20)]),
    "bytes_per_sync": lambda: random.choice([0, 262144]),
    # TODO(hx235): Enable `wal_bytes_per_sync` after fixing the DB recovery such
    # that it won't recover past the WAL data hole created by this option
    "wal_bytes_per_sync": 0,
    "compaction_readahead_size": lambda: random.choice([0, 0, 1024 * 1024]),
    "db_write_buffer_size": lambda: random.choice(
        [0, 0, 0, 1024 * 1024, 8 * 1024 * 1024, 128 * 1024 * 1024]
    ),
    "use_write_buffer_manager": lambda: random.randint(0, 1),
    "avoid_unnecessary_blocking_io": random.randint(0, 1),
    "write_dbid_to_manifest": random.randint(0, 1),
    "write_identity_file": random.randint(0, 1),
    "avoid_flush_during_recovery": lambda: random.choice(
        [1 if t == 0 else 0 for t in range(0, 8)]
    ),
    "enforce_write_buffer_manager_during_recovery": random.randint(0, 1),
    "max_write_batch_group_size_bytes": lambda: random.choice(
        [16, 64, 1024 * 1024, 16 * 1024 * 1024]
    ),
    "level_compaction_dynamic_level_bytes": lambda: random.randint(0, 1),
    "verify_checksum_one_in": lambda: random.choice([1000, 1000000]),
    "verify_file_checksums_one_in": lambda: random.choice([1000, 1000000]),
    "verify_db_one_in": lambda: random.choice([10000, 100000]),
    "continuous_verification_interval": 0,
    "max_key_len": 3,
    "key_len_percent_dist": "1,30,69",
    "error_recovery_with_no_fault_injection": lambda: random.randint(0, 1),
    "metadata_read_fault_one_in": lambda: random.choice([0, 32, 1000]),
    "metadata_write_fault_one_in": lambda: random.choice([0, 128, 1000]),
    "read_fault_one_in": lambda: random.choice([0, 32, 1000]),
    "write_fault_one_in": lambda: random.choice([0, 128, 1000]),
    "exclude_wal_from_write_fault_injection": 0,
    "open_metadata_write_fault_one_in": lambda: random.choice([0, 0, 8]),
    "open_metadata_read_fault_one_in": lambda: random.choice([0, 0, 8]),
    "open_write_fault_one_in": lambda: random.choice([0, 0, 16]),
    "open_read_fault_one_in": lambda: random.choice([0, 0, 32]),
    "sync_fault_injection": lambda: random.randint(0, 1),
    "get_property_one_in": lambda: random.choice([100000, 1000000]),
    "get_properties_of_all_tables_one_in": lambda: random.choice([100000, 1000000]),
    "paranoid_file_checks": lambda: random.choice([0, 1, 1, 1]),
    "max_write_buffer_size_to_maintain": lambda: random.choice(
        [0, 1024 * 1024, 2 * 1024 * 1024, 4 * 1024 * 1024, 8 * 1024 * 1024]
    ),
    "user_timestamp_size": 0,
    "secondary_cache_fault_one_in": lambda: random.choice([0, 0, 32]),
    "compressed_secondary_cache_size": lambda: random.choice([8388608, 16777216]),
    "prepopulate_block_cache": lambda: random.choice([0, 1, 2]),
    "memtable_prefix_bloom_size_ratio": lambda: random.choice([0.001, 0.01, 0.1, 0.5]),
    "memtable_whole_key_filtering": lambda: random.randint(0, 1),
    "detect_filter_construct_corruption": lambda: random.choice([0, 1]),
    "adaptive_readahead": lambda: random.choice([0, 1]),
    "async_io": lambda: random.choice([0, 1]),
    "wal_compression": lambda: random.choice(["none", "zstd"]),
    "verify_sst_unique_id_in_manifest": 1,  # always do unique_id verification
    "fast_sst_open": lambda: random.choice([0, 1]),
    "secondary_cache_uri": lambda: random.choice(
        [
            "",
            "",
            "",
            "compressed_secondary_cache://capacity=8388608;enable_custom_split_merge=true",
        ]
    ),
    "allow_data_in_errors": True,
    "enable_thread_tracking": lambda: random.choice([0, 1]),
    "readahead_size": lambda: random.choice([0, 16384, 524288]),
    "initial_auto_readahead_size": lambda: random.choice([0, 16384, 524288]),
    "max_auto_readahead_size": lambda: random.choice([0, 16384, 524288]),
    "num_file_reads_for_auto_readahead": lambda: random.choice([0, 1, 2]),
    "min_write_buffer_number_to_merge": lambda: random.choice([1, 2]),
    "preserve_internal_time_seconds": lambda: random.choice([0, 60, 3600, 36000]),
    "memtable_max_range_deletions": lambda: random.choice([0] * 6 + [100, 1000]),
    # 0 (disable) is the default and more commonly used value.
    "bottommost_file_compaction_delay": lambda: random.choice(
        [0, 0, 0, 600, 3600, 86400]
    ),
    "auto_readahead_size": lambda: random.choice([0, 1]),
    "verify_iterator_with_expected_state_one_in": 5,
    "allow_fallocate": lambda: random.choice([0, 1]),
    "table_cache_numshardbits": lambda: random.choice([6] * 3 + [-1] * 2 + [0]),
    "enable_write_thread_adaptive_yield": lambda: random.choice([0, 1]),
    "log_readahead_size": lambda: random.choice([0, 16 * 1024 * 1024]),
    "bgerror_resume_retry_interval": lambda: random.choice([100, 1000000]),
    "delete_obsolete_files_period_micros": lambda: random.choice(
        [6 * 60 * 60 * 1000000, 30 * 1000000]
    ),
    "max_log_file_size": lambda: random.choice([0, 1024 * 1024]),
    "log_file_time_to_roll": lambda: random.choice([0, 60]),
    "use_adaptive_mutex": lambda: random.choice([0, 1]),
    "advise_random_on_open": lambda: random.choice([0] + [1] * 3),
    "WAL_ttl_seconds": lambda: random.choice([0, 60]),
    "WAL_size_limit_MB": lambda: random.choice([0, 1]),
    "strict_bytes_per_sync": lambda: random.choice([0, 1]),
    "avoid_flush_during_shutdown": lambda: random.choice([0, 1]),
    "fill_cache": lambda: random.choice([0, 1]),
    "optimize_multiget_for_io": lambda: random.choice([0, 1]),
    "memtable_insert_hint_per_batch": lambda: random.choice([0, 1]),
    "dump_malloc_stats": lambda: random.choice([0, 1]),
    "stats_history_buffer_size": lambda: random.choice([0, 1024 * 1024]),
    "skip_stats_update_on_db_open": lambda: random.choice([0, 1]),
    "optimize_filters_for_hits": lambda: random.choice([0, 1]),
    "sample_for_compression": lambda: random.choice([0, 5]),
    "report_bg_io_stats": lambda: random.choice([0, 1]),
    "cache_index_and_filter_blocks_with_high_priority": lambda: random.choice([0, 1]),
    "use_delta_encoding": lambda: random.choice([0, 1]),
    "verify_compression": lambda: random.choice([0, 1]),
    "read_amp_bytes_per_bit": lambda: random.choice([0, 32]),
    "enable_index_compression": lambda: random.choice([0, 1]),
    "index_shortening": lambda: random.choice([0, 1, 2]),
    "metadata_charge_policy": lambda: random.choice([0, 1]),
    "use_adaptive_mutex_lru": lambda: random.choice([0, 1]),
    "manifest_preallocation_size": lambda: random.choice([0, 5 * 1024]),
    "enable_checksum_handoff": lambda: random.choice([0, 1]),
    "max_total_wal_size": lambda: random.choice([0] * 4 + [64 * 1024 * 1024]),
    "high_pri_pool_ratio": lambda: random.choice([0, 0.5]),
    "low_pri_pool_ratio": lambda: random.choice([0, 0.5]),
    "soft_pending_compaction_bytes_limit": lambda: random.choice(
        [1024 * 1024] + [64 * 1073741824] * 4
    ),
    "hard_pending_compaction_bytes_limit": lambda: random.choice(
        [2 * 1024 * 1024] + [256 * 1073741824] * 4
    ),
    "enable_sst_partitioner_factory": lambda: random.choice([0, 1]),
    "enable_do_not_compress_roles": lambda: random.choice([0, 1]),
    "block_align": lambda: random.choice([0, 1]),
    "super_block_alignment_size": lambda: random.choice(
        [0, 128 * 1024, 512 * 1024, 2 * 1024 * 1024]
    ),
    "super_block_alignment_space_overhead_ratio": lambda: random.choice([0, 32, 4096]),
    "lowest_used_cache_tier": lambda: random.choice([0, 1, 2]),
    "enable_custom_split_merge": lambda: random.choice([0, 1]),
    "adm_policy": lambda: random.choice([0, 1, 2, 3]),
    "last_level_temperature": lambda: random.choice(
        ["kUnknown", "kHot", "kWarm", "kCool", "kCold", "kIce"]
    ),
    "default_write_temperature": lambda: random.choice(
        ["kUnknown", "kHot", "kWarm", "kCool", "kCold", "kIce"]
    ),
    "default_temperature": lambda: random.choice(
        ["kUnknown", "kHot", "kWarm", "kCool", "kCold", "kIce"]
    ),
    # TODO(hx235): enable `enable_memtable_insert_with_hint_prefix_extractor`
    # after fixing the surfaced issue with delete range
    "enable_memtable_insert_with_hint_prefix_extractor": 0,
    "check_multiget_consistency": lambda: random.choice([0, 0, 0, 1]),
    "check_multiget_entity_consistency": lambda: random.choice([0, 0, 0, 1]),
    "use_timed_put_one_in": lambda: random.choice([0] * 7 + [1, 5, 10]),
    "universal_max_read_amp": lambda: random.choice([-1] * 3 + [0, 4, 10]),
    # verify_output_flags is a bitmask: bits 0-2 are verification types
    # (block checksum, iteration, file checksum), bits 10-11 are when to
    # enable (local compaction, remote compaction). 0x407 = all types +
    # local, 0xC07 = all types + local + remote, 0xFFFFFFFF = all.
    "verify_output_flags": lambda: random.choice([0] * 3 + [0x407, 0xC07, 0xFFFFFFFF]),
    "paranoid_memory_checks": lambda: random.choice([0] * 7 + [1]),
    "memtable_veirfy_per_key_checksum_on_seek": lambda: random.choice([0] * 7 + [1]),
    "memtable_batch_lookup_optimization": lambda: random.randint(0, 1),
    "allow_unprepared_value": lambda: random.choice([0, 1]),
    # TODO(hx235): enable `track_and_verify_wals` after stabalizing the stress test
    "track_and_verify_wals": lambda: random.choice([0]),
    "remote_compaction_worker_threads": lambda: random.choice([0, 8]),
    "allow_resumption_one_in": lambda: random.choice([0, 1, 2, 20]),
    # TODO(jaykorean): Change to lambda: random.choice([0, 1]) after addressing all remote compaction failures
    "remote_compaction_failure_fall_back_to_local": 1,
    "auto_refresh_iterator_with_snapshot": lambda: random.choice([0, 1]),
    "memtable_op_scan_flush_trigger": lambda: random.choice([0, 10, 100, 1000]),
    "memtable_avg_op_scan_flush_trigger": lambda: random.choice([0, 2, 20, 200]),
    "min_tombstones_for_range_conversion": lambda: random.choice([0, 2, 2, 4, 16]),
    "ingest_wbwi_one_in": lambda: random.choice([0, 0, 100, 500]),
    "universal_reduce_file_locking": lambda: random.randint(0, 1),
    "compression_manager": lambda: random.choice(
        ["mixed"] * 1
        + ["none"] * 2
        + ["autoskip"] * 2
        + ["randommixed"] * 2
        + ["custom"] * 3
    ),
    # fixed within a run for easier debugging
    # actual frequency is lower after option sanitization
    "use_multiscan": random.choice([1] + [0] * 3),
    # By default, `statistics` use kExceptDetailedTimers level
    "statistics": random.choice([0, 1]),
    # TODO: re-enable after resolving "Req failed: Unknown error -14" errors
    "multiscan_use_async_io": 0,  # random.randint(0, 1),
}

_TEST_DIR_ENV_VAR = "TEST_TMPDIR"
# If TEST_TMPDIR_EXPECTED is not specified, default value will be TEST_TMPDIR
# except on remote filesystem
_TEST_EXPECTED_DIR_ENV_VAR = "TEST_TMPDIR_EXPECTED"
_DEBUG_LEVEL_ENV_VAR = "DEBUG_LEVEL"

stress_cmd = "./db_stress"


def is_release_mode():
    return os.environ.get(_DEBUG_LEVEL_ENV_VAR) == "0"


def get_dbname(test_name):
    test_dir_name = "rocksdb_crashtest_" + test_name
    test_tmpdir = os.environ.get(_TEST_DIR_ENV_VAR)
    if test_tmpdir is None or test_tmpdir == "":
        dbname = tempfile.mkdtemp(prefix=test_dir_name)
    else:
        dbname = test_tmpdir + "/" + test_dir_name
        if not is_remote_db:
            os.makedirs(dbname, exist_ok=True)
    return dbname


expected_values_dir = None


def setup_expected_values_dir():
    global expected_values_dir
    if expected_values_dir is not None:
        return expected_values_dir
    expected_dir_prefix = "rocksdb_crashtest_expected_"
    test_exp_tmpdir = os.environ.get(_TEST_EXPECTED_DIR_ENV_VAR)

    if not is_remote_db and (test_exp_tmpdir is None or test_exp_tmpdir == ""):
        test_exp_tmpdir = os.environ.get(_TEST_DIR_ENV_VAR)

    if test_exp_tmpdir is None or test_exp_tmpdir == "":
        expected_values_dir = tempfile.mkdtemp(prefix=expected_dir_prefix)
    else:
        # if tmpdir is specified, store the expected_values_dir under that dir
        expected_values_dir = test_exp_tmpdir + "/rocksdb_crashtest_expected"
        os.makedirs(expected_values_dir, exist_ok=True)
    return expected_values_dir


def prepare_expected_values_dir(expected_dir, destroy_db_initially):
    if expected_dir is None or expected_dir == "":
        return

    if destroy_db_initially and os.path.exists(expected_dir):
        shutil.rmtree(expected_dir, True)

    os.makedirs(expected_dir, exist_ok=True)


multiops_txn_key_spaces_file = None


def setup_multiops_txn_key_spaces_file():
    global multiops_txn_key_spaces_file
    if multiops_txn_key_spaces_file is not None:
        return multiops_txn_key_spaces_file
    key_spaces_file_prefix = "rocksdb_crashtest_multiops_txn_key_spaces"
    test_exp_tmpdir = os.environ.get(_TEST_EXPECTED_DIR_ENV_VAR)

    if not is_remote_db and (test_exp_tmpdir is None or test_exp_tmpdir == ""):
        test_exp_tmpdir = os.environ.get(_TEST_DIR_ENV_VAR)

    if test_exp_tmpdir is None or test_exp_tmpdir == "":
        multiops_txn_key_spaces_file = tempfile.mkstemp(prefix=key_spaces_file_prefix)[
            1
        ]
    else:
        if not os.path.exists(test_exp_tmpdir):
            os.mkdir(test_exp_tmpdir)
        multiops_txn_key_spaces_file = tempfile.mkstemp(
            prefix=key_spaces_file_prefix, dir=test_exp_tmpdir
        )[1]
    return multiops_txn_key_spaces_file


def is_direct_io_supported(dbname):
    if is_remote_db:
        return False
    else:
        # Note: db dir might be removed on check_mode change. Re-create it
        os.makedirs(dbname, exist_ok=True)
        with tempfile.NamedTemporaryFile(dir=dbname) as f:
            try:
                os.open(f.name, os.O_DIRECT)
            except BaseException:
                return False
            return True


blackbox_default_params = {
    "disable_wal": lambda: random.choice([0, 0, 0, 1]),
    # total time for this script to test db_stress
    "duration": 6000,
    # time for one db_stress instance to run
    "interval": 120,
    # time for the final verification step
    "verify_timeout": 1200,
    # since we will be killing anyway, use large value for ops_per_thread
    "ops_per_thread": 100000000,
    "reopen": 0,
    "set_options_one_in": 1000,
}

whitebox_default_params = {
    # TODO: enable this at random once we figure out two things. First, we need
    # to ensure the kill odds in WAL-disabled runs result in regular crashing
    # before the fifteen minute timeout. When WAL is disabled there are very few
    # calls to write functions since writes to SST files are buffered and other
    # writes (e.g., MANIFEST) are infrequent. Crashing in reasonable time might
    # currently assume killpoints in write functions are reached frequently.
    #
    # Second, we need to make sure disabling WAL works with `-reopen > 0`.
    "disable_wal": 0,
    # TODO: Re-enable this once we fix WAL + Remote Compaction in Stress Test
    "remote_compaction_worker_threads": 0,
    "duration": 10000,
    "log2_keys_per_lock": 10,
    "ops_per_thread": 200000,
    "random_kill_odd": 888887,
    "reopen": 20,
}

simple_default_params = {
    "allow_concurrent_memtable_write": lambda: random.randint(0, 1),
    "column_families": 1,
    # TODO: re-enable once internal task T124324915 is fixed.
    # "experimental_mempurge_threshold": lambda: 10.0*random.random(),
    "max_background_compactions": 1,
    "max_bytes_for_level_base": 67108864,
    "memtablerep": "skip_list",
    "target_file_size_base": 16777216,
    "target_file_size_multiplier": 1,
    "test_batches_snapshots": 0,
    "write_buffer_size": 32 * 1024 * 1024,
    "level_compaction_dynamic_level_bytes": lambda: random.randint(0, 1),
    "paranoid_file_checks": lambda: random.choice([0, 1, 1, 1]),
    "test_secondary": lambda: random.choice([0, 1]),
}

blackbox_simple_default_params = {
    "open_files": -1,
    "set_options_one_in": 0,
}

whitebox_simple_default_params = {}

cf_consistency_params = {
    "disable_wal": lambda: random.randint(0, 1),
    "reopen": 0,
    "test_cf_consistency": 1,
    # use small value for write_buffer_size so that RocksDB triggers flush
    # more frequently
    "write_buffer_size": 1024 * 1024,
    "enable_pipelined_write": lambda: random.randint(0, 1),
    # Snapshots are used heavily in this test mode, while they are incompatible
    # with compaction filter, inplace_update_support
    "enable_compaction_filter": 0,
    "inplace_update_support": 0,
    # `CfConsistencyStressTest::TestIngestExternalFile()` is not implemented.
    "ingest_external_file_one_in": 0,
    # `CfConsistencyStressTest::TestIterateAgainstExpected()` is not implemented.
    "verify_iterator_with_expected_state_one_in": 0,
    "memtablerep": random.choice(["skip_list"] * 9 + ["vector"]),
}

# For pessimistic transaction db
txn_params = {
    "use_txn": 1,
    "use_optimistic_txn": 0,
    # Avoid lambda to set it once for the entire test
    # NOTE: often passed in from command line overriding this
    "txn_write_policy": random.randint(0, 2),
    "unordered_write": random.randint(0, 1),
    "use_per_key_point_lock_mgr": lambda: random.choice([0, 1]),
    # TODO: there is such a thing as transactions with WAL disabled. We should
    # cover that case.
    "disable_wal": 0,
    # TODO: Re-enable this once we fix WAL + Remote Compaction in Stress Test
    "remote_compaction_worker_threads": 0,
    # OpenReadOnly after checkpoint is not currnetly compatible with WritePrepared txns
    "checkpoint_one_in": 0,
    # pipeline write is not currnetly compatible with WritePrepared txns
    "enable_pipelined_write": 0,
    "create_timestamped_snapshot_one_in": random.choice([0, 20]),
    # Should not be used with TransactionDB which uses snapshot.
    "inplace_update_support": 0,
    # TimedPut is not supported in transaction
    "use_timed_put_one_in": 0,
    # txn commit with this option will create a new memtable, keep the
    # frequency low to reduce stalls
    "commit_bypass_memtable_one_in": random.choice([0] * 2 + [500, 1000]),
    "two_write_queues": lambda: random.choice([0, 1]),
}

# For optimistic transaction db
optimistic_txn_params = {
    "use_txn": 1,
    "use_optimistic_txn": 1,
    "occ_validation_policy": random.randint(0, 1),
    "share_occ_lock_buckets": random.randint(0, 1),
    "occ_lock_bucket_count": lambda: random.choice([10, 100, 500]),
    # Should not be used with OptimisticTransactionDB which uses snapshot.
    "inplace_update_support": 0,
    # TimedPut is not supported in transaction
    "use_timed_put_one_in": 0,
}

best_efforts_recovery_params = {
    "best_efforts_recovery": 1,
    "disable_wal": 1,
    "column_families": 1,
    "skip_verifydb": 1,
    "verify_db_one_in": 0,
}

blob_params = {
    "allow_setting_blob_options_dynamically": 1,
    # Enable blob files and GC with a 75% chance initially; note that they might still be
    # enabled/disabled during the test via SetOptions
    "enable_blob_files": lambda: random.choice([0] + [1] * 3),
    "min_blob_size": lambda: random.choice([0, 8, 16]),
    "blob_file_size": lambda: random.choice([1048576, 16777216, 268435456, 1073741824]),
    "blob_compression_type": lambda: random.choice(["none", "snappy", "lz4", "zstd"]),
    "enable_blob_garbage_collection": lambda: random.choice([0] + [1] * 3),
    "blob_garbage_collection_age_cutoff": lambda: random.choice(
        [0.0, 0.25, 0.5, 0.75, 1.0]
    ),
    "blob_garbage_collection_force_threshold": lambda: random.choice([0.5, 0.75, 1.0]),
    "blob_compaction_readahead_size": lambda: random.choice([0, 1048576, 4194304]),
    "blob_file_starting_level": lambda: random.choice(
        [0] * 4 + [1] * 3 + [2] * 2 + [3]
    ),
    "use_blob_cache": lambda: random.randint(0, 1),
    "use_shared_block_and_blob_cache": lambda: random.randint(0, 1),
    "blob_cache_size": lambda: random.choice([1048576, 2097152, 4194304, 8388608]),
    "prepopulate_blob_cache": lambda: random.randint(0, 1),
    # TODO Fix races when both Remote Compaction + BlobDB enabled
    "remote_compaction_worker_threads": 0,
}

blob_direct_write_params = {
    "enable_blob_files": 1,
    "enable_blob_direct_write": 1,
    "blob_direct_write_partitions": lambda: random.choice([1, 2, 4, 8]),
    "allow_setting_blob_options_dynamically": 0,
    # Keep the fixed-across-runs write mode within the reduced WAL-disabled
    # direct-write profile.
    "inplace_update_support": 0,
    "min_blob_size": lambda: random.choice([8, 16, 64]),
    "blob_file_size": lambda: random.choice([1048576, 16777216, 268435456]),
    "blob_compression_type": lambda: random.choice(["none", "snappy", "lz4", "zstd"]),
    "enable_blob_garbage_collection": 0,
    "blob_garbage_collection_age_cutoff": 0.0,
    "blob_garbage_collection_force_threshold": 1.0,
    "blob_compaction_readahead_size": 0,
    "blob_file_starting_level": 0,
    "use_blob_cache": lambda: random.randint(0, 1),
    "use_shared_block_and_blob_cache": lambda: random.randint(0, 1),
    "blob_cache_size": lambda: random.choice([1048576, 2097152, 4194304, 8388608]),
    "prepopulate_blob_cache": lambda: random.randint(0, 1),
    "remote_compaction_worker_threads": 0,
}

# Wide-column entity stress needs `use_put_entity_one_in` fixed across the
# repeated db_stress invocations in one crash-test run series, so keep it as a
# once-per-process random choice rather than a lambda.
blob_direct_write_get_entity_params = dict(blob_direct_write_params)
blob_direct_write_get_entity_params.update(
    {
        "use_put_entity_one_in": random.choice([1, 5, 10]),
        "use_get_entity": 1,
        "use_multi_get_entity": 0,
        "use_attribute_group": 0,
    }
)

blob_direct_write_multi_get_entity_params = dict(blob_direct_write_params)
blob_direct_write_multi_get_entity_params.update(
    {
        "use_put_entity_one_in": random.choice([1, 5, 10]),
        "use_get_entity": 0,
        "use_multi_get_entity": 1,
        "use_attribute_group": 0,
    }
)

ts_params = {
    "test_cf_consistency": 0,
    "test_batches_snapshots": 0,
    "user_timestamp_size": 8,
    # Below flag is randomly picked once and kept consistent in following runs.
    "persist_user_defined_timestamps": random.choice([0, 1, 1]),
    "use_merge": 0,
    # Causing failures and not yet compatible
    "use_multiscan": 0,
    "use_full_merge_v1": 0,
    "use_txn": 0,
    "ingest_external_file_one_in": 0,
    # PutEntity with timestamps is not yet implemented
    "use_put_entity_one_in": 0,
    # TimedPut is not compatible with user-defined timestamps yet.
    "use_timed_put_one_in": 0,
    # TrieIndexFactory requires plain BytewiseComparator, but timestamps use
    # BytewiseComparator.u64ts.
    "use_trie_index": 0,
    # when test_best_efforts_recovery == true, disable_wal becomes 0.
    # TODO: Re-enable this once we fix WAL + Remote Compaction in Stress Test
    "remote_compaction_worker_threads": 0,
}

tiered_params = {
    # For Leveled/Universal compaction (ignored for FIFO)
    # Bias toward times that can elapse during a crash test run series
    # NOTE: -1 means starting disabled but dynamically changing
    "preclude_last_level_data_seconds": lambda: random.choice(
        [-1, -1, 10, 60, 1200, 86400]
    ),
    "last_level_temperature": lambda: random.choice(["kCold", "kIce"]),
    # For FIFO compaction (ignored otherwise)
    "file_temperature_age_thresholds": lambda: random.choice(
        [
            "{{temperature=kWarm;age=10}:{temperature=kCool;age=30}:{temperature=kCold;age=100}:{temperature=kIce;age=300}}",
            "{{temperature=kWarm;age=30}:{temperature=kCold;age=300}}",
            "{{temperature=kCold;age=100}}",
        ]
    ),
    "allow_trivial_copy_when_change_temperature": lambda: random.choice([0, 1]),
    # tiered storage doesn't support blob db yet
    "enable_blob_files": 0,
    "use_blob_db": 0,
    "default_write_temperature": lambda: random.choice(["kUnknown", "kHot", "kWarm"]),
}

multiops_txn_params = {
    "test_cf_consistency": 0,
    "test_batches_snapshots": 0,
    "test_multi_ops_txns": 1,
    "use_txn": 1,
    # Avoid lambda to set it once for the entire test
    # NOTE: often passed in from command line overriding this
    "txn_write_policy": random.randint(0, 2),
    "two_write_queues": lambda: random.choice([0, 1]),
    # TODO: enable write-prepared
    "disable_wal": 0,
    # TODO: Re-enable this once we fix WAL + Remote Compaction in Stress Test
    "remote_compaction_worker_threads": 0,
    "use_only_the_last_commit_time_batch_for_recovery": lambda: random.choice([0, 1]),
    "clear_column_family_one_in": 0,
    "column_families": 1,
    # TODO re-enable pipelined write (lambda: random.choice([0, 1]))
    "enable_pipelined_write": 0,
    # This test already acquires snapshots in reads
    "acquire_snapshot_one_in": 0,
    "backup_one_in": 0,
    "writepercent": 0,
    "delpercent": 0,
    "delrangepercent": 0,
    "customopspercent": 80,
    "readpercent": 5,
    "iterpercent": 15,
    "prefixpercent": 0,
    "verify_db_one_in": 1000,
    "continuous_verification_interval": 1000,
    "delay_snapshot_read_one_in": 3,
    # 65536 is the smallest possible value for write_buffer_size. Smaller
    # values will be sanitized to 65536 during db open. SetOptions currently
    # does not sanitize options, but very small write_buffer_size may cause
    # assertion failure in
    # https://github.com/facebook/rocksdb/blob/7.0.fb/db/memtable.cc#L117.
    "write_buffer_size": 65536,
    # flush more frequently to generate more files, thus trigger more
    # compactions.
    "flush_one_in": 1000,
    "key_spaces_path": setup_multiops_txn_key_spaces_file(),
    "rollback_one_in": 4,
    # Re-enable once we have a compaction for MultiOpsTxnStressTest
    "enable_compaction_filter": 0,
    "create_timestamped_snapshot_one_in": 50,
    "sync_fault_injection": 0,
    "metadata_write_fault_one_in": 0,
    "manual_wal_flush_one_in": 0,
    # This test has aggressive flush frequency and small write buffer size.
    # Disabling write fault to avoid writes being stopped.
    "write_fault_one_in": 0,
    "metadata_write_fault_one_in": 0,
    # PutEntity in transactions is not yet implemented
    "use_put_entity_one_in": 0,
    "use_get_entity": 0,
    "use_multi_get_entity": 0,
    # `MultiOpsTxnsStressTest::TestIterateAgainstExpected()` is not implemented.
    "verify_iterator_with_expected_state_one_in": 0,
    # This test uses snapshot heavily which is incompatible with this option.
    "inplace_update_support": 0,
    # TimedPut not supported in transaction
    "use_timed_put_one_in": 0,
    # AttributeGroup not yet supported
    "use_attribute_group": 0,
    "commit_bypass_memtable_one_in": random.choice([0] * 4 + [100]),
}


def finalize_and_sanitize(src_params):
    dest_params = {k: v() if callable(v) else v for (k, v) in src_params.items()}
    if is_release_mode():
        dest_params["read_fault_one_in"] = 0
    if dest_params.get("compression_max_dict_bytes") == 0:
        dest_params["compression_zstd_max_train_bytes"] = 0
        dest_params["compression_max_dict_buffer_bytes"] = 0
    if dest_params.get("compression_type") != "zstd":
        dest_params["compression_zstd_max_train_bytes"] = 0
    if dest_params["mmap_read"] == 1:
        dest_params["use_direct_io_for_flush_and_compaction"] = 0
        dest_params["use_direct_reads"] = 0
        dest_params["multiscan_use_async_io"] = 0
    if dest_params.get("min_tombstones_for_range_conversion", 0) > 0:
        # SQFC range-query filtering installs ReadOptions::table_filter on
        # iterators. Read-write iterators reject table_filter when read-path
        # range tombstone conversion is enabled, because conversion must see
        # the full relevant SST set before synthesizing a memtable tombstone.
        dest_params["use_sqfc_for_range_queries"] = 0
        # Delete range not compatible with inplace_update_support
        dest_params["inplace_update_support"] = 0
    if (
        dest_params["use_direct_io_for_flush_and_compaction"] == 1
        or dest_params["use_direct_reads"] == 1
    ) and not is_direct_io_supported(dest_params["db"]):
        if is_release_mode():
            print(
                "{} does not support direct IO. Disabling use_direct_reads and "
                "use_direct_io_for_flush_and_compaction.\n".format(dest_params["db"])
            )
            dest_params["use_direct_reads"] = 0
            dest_params["use_direct_io_for_flush_and_compaction"] = 0
        else:
            dest_params["mock_direct_io"] = True

    # Blob direct write requires concurrent read visibility of files still open
    # for writing (BlobFileReader calls GetFileSize() on active partition files).
    # Remote file systems such as Warm Storage do not guarantee that writes from
    # a WritableFile are visible to a separate RandomAccessFile until the writer
    # is closed, causing "Malformed blob file" corruption.  Disable BDW when a
    # remote --env_uri / --fs_uri is in use.
    if is_remote_db:
        dest_params["enable_blob_direct_write"] = 0

    if dest_params.get("enable_blob_direct_write", 0) == 1:
        # Keep blob direct write in its reduced-scope crash-test profile.
        #
        # Supported recovery shape:
        #   * clean shutdown / flush
        #   * crash restart that only relies on SST + manifest-visible blob
        #     state, including wide-column entities stored through PutEntity
        #
        # Unsupported here:
        #   * WAL replay / best-efforts recovery
        #   * broad dynamic blob option changes and blob GC
        #   * merge / transaction variants and parallel write queue modes
        #   * secondary / backup / checkpoint / ingest style APIs that reason
        #     about active files directly
        dest_params["enable_blob_files"] = 1
        dest_params["blob_direct_write_partitions"] = max(
            1, dest_params.get("blob_direct_write_partitions", 1)
        )
        # BDW can still run with multiple application threads as long as writes
        # stay on the ordered write path. Disable the write modes that would
        # let memtable/WAL publication diverge from the transformed blob-file
        # write ordering.
        dest_params["allow_concurrent_memtable_write"] = 0
        dest_params["enable_pipelined_write"] = 0
        dest_params["two_write_queues"] = 0
        dest_params["unordered_write"] = 0
        # Keep inplace updates off. The later inplace_update_support
        # sanitization intentionally forces disable_wal=0 for its own recovery
        # assumptions, which would silently undo the BDW crash-test profile.
        dest_params["inplace_update_support"] = 0
        # Direct write is implemented only for integrated BlobDB, without
        # dynamic blob option changes or background blob GC.
        dest_params["use_blob_db"] = 0
        dest_params["allow_setting_blob_options_dynamically"] = 0
        dest_params["enable_blob_garbage_collection"] = 0
        dest_params["blob_garbage_collection_age_cutoff"] = 0.0
        dest_params["blob_garbage_collection_force_threshold"] = 1.0
        dest_params["blob_compaction_readahead_size"] = 0
        dest_params["blob_file_starting_level"] = 0
        dest_params["use_merge"] = 0
        dest_params["use_full_merge_v1"] = 0
        dest_params["use_timed_put_one_in"] = 0
        # Wide-column PutEntity/GetEntity/MultiGetEntity are now compatible
        # with this profile. AttributeGroup exercises a different path that
        # still stays disabled here.
        dest_params["use_attribute_group"] = 0
        # Direct write stress only supports the plain comparator / key encoding
        # path. User-defined timestamps and the TransactionDB-only timestamped
        # snapshot API are outside this feature envelope.
        dest_params["user_timestamp_size"] = 0
        dest_params["persist_user_defined_timestamps"] = 0
        dest_params["create_timestamped_snapshot_one_in"] = 0
        dest_params["use_txn"] = 0
        dest_params["txn_write_policy"] = 0
        dest_params["use_optimistic_txn"] = 0
        dest_params["test_multi_ops_txns"] = 0
        dest_params["commit_bypass_memtable_one_in"] = 0
        # Force the WAL-disabled crash-test profile. The generic disable_wal
        # sanitization below still applies, but keep the WAL-dependent stress
        # features explicitly off here so later sanitizers or explicit command
        # line overrides do not silently re-enable them.
        dest_params["disable_wal"] = 1
        dest_params["best_efforts_recovery"] = 0
        # Direct write v1 crash testing does not cover reopen with unlogged
        # data, manual/sync WAL persistence, or WAL metadata/locking APIs.
        dest_params["reopen"] = 0
        dest_params["manual_wal_flush_one_in"] = 0
        dest_params["sync_wal_one_in"] = 0
        dest_params["lock_wal_one_in"] = 0
        dest_params["get_sorted_wal_files_one_in"] = 0
        dest_params["get_current_wal_file_one_in"] = 0
        dest_params["track_and_verify_wals"] = 0
        dest_params["rate_limit_auto_wal_flush"] = 0
        dest_params["recycle_log_file_num"] = 0
        # Write/open fault injection currently assumes WAL-based recovery or
        # error-retry behavior that direct write v1 does not provide.
        dest_params["sync_fault_injection"] = 0
        dest_params["write_fault_one_in"] = 0
        dest_params["metadata_write_fault_one_in"] = 0
        dest_params["read_fault_one_in"] = 0
        dest_params["metadata_read_fault_one_in"] = 0
        dest_params["open_metadata_write_fault_one_in"] = 0
        dest_params["open_metadata_read_fault_one_in"] = 0
        dest_params["open_write_fault_one_in"] = 0
        dest_params["open_read_fault_one_in"] = 0
        # Remote compaction, secondary readers, file snapshot style APIs, and
        # ingest APIs are outside the initial direct-write feature envelope.
        dest_params["remote_compaction_worker_threads"] = 0
        dest_params["test_secondary"] = 0
        dest_params["backup_one_in"] = 0
        dest_params["checkpoint_one_in"] = 0
        dest_params["get_live_files_apis_one_in"] = 0
        dest_params["ingest_external_file_one_in"] = 0
        dest_params["ingest_wbwi_one_in"] = 0

    if dest_params.get("memtablerep") == "vector":
        dest_params["inplace_update_support"] = 0

    # only skip list memtable representation supports paranoid memory checks
    if dest_params.get("memtablerep") != "skip_list":
        dest_params["paranoid_memory_checks"] = 0
        dest_params["memtable_veirfy_per_key_checksum_on_seek"] = 0

    if dest_params["test_batches_snapshots"] == 1:
        dest_params["enable_compaction_filter"] = 0
        dest_params["inplace_update_support"] = 0
        # TODO(hx235): enable test_batches_snapshots with fault injection after stabilizing the CI
        dest_params["write_fault_one_in"] = 0
        dest_params["metadata_write_fault_one_in"] = 0
        dest_params["read_fault_one_in"] = 0
        dest_params["metadata_read_fault_one_in"] = 0
        dest_params["use_multiscan"] = 0
        if dest_params["prefix_size"] < 0:
            dest_params["prefix_size"] = 1

    # BER disables WAL and tests unsynced data loss which
    # does not work with inplace_update_support. Integrated BlobDB is also
    # incompatible, so force blob-related toggles off even if they came from
    # command-line overrides or another preset.
    if dest_params.get("best_efforts_recovery") == 1:
        dest_params["inplace_update_support"] = 0
        dest_params["enable_blob_files"] = 0
        dest_params["enable_blob_garbage_collection"] = 0
        dest_params["allow_setting_blob_options_dynamically"] = 0
        dest_params["enable_blob_direct_write"] = 0

    # Remote Compaction Incompatible Tests and Features
    if dest_params.get("remote_compaction_worker_threads", 0) > 0:
        # TODO Fix races when both Remote Compaction + BlobDB enabled
        dest_params["enable_blob_files"] = 0
        dest_params["enable_blob_garbage_collection"] = 0
        dest_params["allow_setting_blob_options_dynamically"] = 0
        # Disable Incompatible Ones
        dest_params["inplace_update_support"] = 0
        dest_params["checkpoint_one_in"] = 0
        dest_params["use_timed_put_one_in"] = 0
        dest_params["test_secondary"] = 0
        dest_params["mmap_read"] = 0
        # skip_stats_update_on_db_open leaves num_entries and
        # num_range_deletions at 0 on the remote worker, which breaks
        # standalone range deletion file filtering in compaction and causes
        # input key count mismatch. This can happen even if standalone range
        # deletion ingestion is off in the current run, because such files
        # may have been ingested in a previous run with different options.
        # TODO: remove after the real fix lands.
        dest_params["skip_stats_update_on_db_open"] = 0

        # Disable database open fault injection to prevent test inefficiency described below.
        # When fault injection occurs during DB open, the db will wait for compaction
        # to finish to clean up the database before retrying without injected error.
        # However remote compaction threads are not yet created at that point
        # so the db has to wait for the timeout (currently 30 seconds) to fall back to
        # local compaction in order for the compaction to finish.
        #
        # TODO: Consider moving compaction thread creation earlier in the startup sequence
        # to allow db open fault injection testing without this performance penalty
        dest_params["open_metadata_write_fault_one_in"] = 0
        dest_params["open_metadata_read_fault_one_in"] = 0
        dest_params["open_write_fault_one_in"] = 0
        dest_params["open_read_fault_one_in"] = 0
        dest_params["sync_fault_injection"] = 0

    # UDI now supports all operation types and all iteration directions.
    # Only parallel compression and mmap_read remain incompatible.
    if dest_params.get("use_trie_index") == 1:
        # Trie UDI uses zero-copy pointers into block data, which is
        # incompatible with mmap_read.
        dest_params["mmap_read"] = 0
        # Parallel compression is incompatible with UDI
        dest_params["compression_parallel_threads"] = 1
        if dest_params.get("use_udi_as_primary_index") == 1:
            # Primary UDI mode: the standard index is still fully populated,
            # but partitioned index (kTwoLevelIndexSearch) and partitioned
            # filters are not compatible with the UDI wrapper layout.
            dest_params["index_type"] = random.choice([0, 0, 3])
            dest_params["partition_filters"] = 0
            # Backup/restore serializes Options to strings, losing the
            # user_defined_index_factory (shared_ptr). The restored DB
            # opens without UDI support and cannot route reads through
            # the trie in primary mode.
            dest_params["backup_one_in"] = 0
            # Secondary DB opens SSTs with default Options (not a copy of
            # the primary's), losing the UDI factory. Without the factory,
            # reads cannot be routed through the trie.
            dest_params["test_secondary"] = 0
    else:
        # use_udi_as_primary_index requires use_trie_index
        dest_params["use_udi_as_primary_index"] = 0

    # Multi-key operations are not currently compatible with transactions or
    # timestamp.
    if (
        dest_params.get("test_batches_snapshots") == 1
        or dest_params.get("use_txn") == 1
        or dest_params.get("user_timestamp_size", 0) > 0
    ):
        dest_params["ingest_external_file_one_in"] = 0
    if (
        dest_params.get("test_batches_snapshots") == 1
        or dest_params.get("use_txn") == 1
    ):
        dest_params["delpercent"] += dest_params["delrangepercent"]
        dest_params["delrangepercent"] = 0
    # Since the value of inplace_update_support needs to be fixed across runs,
    # we disable other incompatible options here instead of disabling
    # inplace_update_support based on other option values, which may change
    # across runs.
    if dest_params["inplace_update_support"] == 1:
        dest_params["delpercent"] += dest_params["delrangepercent"]
        dest_params["delrangepercent"] = 0
        dest_params["readpercent"] += dest_params["prefixpercent"]
        dest_params["prefixpercent"] = 0
        dest_params["allow_concurrent_memtable_write"] = 0
        # inplace_update_support does not update sequence number. Our stress test recovery
        # logic for unsynced data loss relies on max sequence number stored
        # in MANIFEST, so they don't work together.
        dest_params["sync_fault_injection"] = 0
        dest_params["disable_wal"] = 0
        dest_params["manual_wal_flush_one_in"] = 0
    if (
        dest_params.get("sync_fault_injection") == 1
        or dest_params.get("disable_wal") == 1
        or dest_params.get("manual_wal_flush_one_in", 0) > 0
    ):
        # File ingestion does not guarantee prefix-recoverability when unsynced
        # data can be lost. Ingesting a file syncs data immediately that is
        # newer than unsynced memtable data that can be lost on restart.
        #
        # Even if the above issue is fixed or worked around, our
        # trace-and-replay does not trace file ingestion, so in its current form
        # it would not recover the expected state to the correct point in time.
        dest_params["ingest_external_file_one_in"] = 0
        # The `DbStressCompactionFilter` can apply memtable updates to SST
        # files, which would be problematic when unsynced data can be lost in
        # crash recoveries.
        dest_params["enable_compaction_filter"] = 0
    # Remove the following once write-prepared/write-unprepared with/without
    # unordered write supports timestamped snapshots
    if dest_params.get("create_timestamped_snapshot_one_in", 0) > 0:
        dest_params["unordered_write"] = 0
        if dest_params.get("txn_write_policy", 0) != 0:
            dest_params["create_timestamped_snapshot_one_in"] = 0
    # Only under WritePrepared txns, unordered_write would provide the same guarnatees as vanilla rocksdb
    # unordered_write is only enabled with --txn, and txn_params disables inplace_update_support, so
    # setting allow_concurrent_memtable_write=1 won't conflcit with inplace_update_support.
    # don't overwrite txn_write_policy
    if dest_params.get("unordered_write", 0) == 1:
        if dest_params.get("txn_write_policy", 0) == 1:
            dest_params["allow_concurrent_memtable_write"] = 1
        else:
            dest_params["unordered_write"] = 0
    if dest_params.get("disable_wal", 0) == 1:
        # WAL-disabled stress runs do not support in-process reopen. Blob
        # direct write v1 relies on this path so crash testing stays within its
        # SST/blob-manifest recovery envelope rather than WAL replay.
        dest_params["atomic_flush"] = 1
        dest_params["sync"] = 0
        dest_params["write_fault_one_in"] = 0
        dest_params["reopen"] = 0
        dest_params["manual_wal_flush_one_in"] = 0
        # disableWAL and recycle_log_file_num options are not mutually
        # compatible at the moment
        dest_params["recycle_log_file_num"] = 0
    if dest_params.get("open_files", 1) != -1:
        # Compaction TTL and periodic compactions are only compatible
        # with open_files = -1
        dest_params["compaction_ttl"] = 0
        dest_params["periodic_compaction_seconds"] = 0
    if dest_params.get("compaction_style", 0) == 2:
        # Disable compaction TTL in FIFO compaction, because right
        # now assertion failures are triggered.
        dest_params["compaction_ttl"] = 0
        dest_params["periodic_compaction_seconds"] = 0
        # FIFO compaction is not supported with open_files_async
        dest_params["open_files_async"] = 0
        # Disable irrelevant tiering options
        dest_params["preclude_last_level_data_seconds"] = 0
        dest_params["last_level_temperature"] = "kUnknown"
    else:
        # Disable irrelevant tiering options
        dest_params["file_temperature_age_thresholds"] = ""
        # Disable FIFO-specific options for non-FIFO compaction styles
        dest_params["fifo_compaction_max_data_files_size_mb"] = 0
        dest_params["fifo_compaction_max_table_files_size_mb"] = 0
        dest_params["fifo_compaction_use_kv_ratio_compaction"] = 0
    if dest_params["partition_filters"] == 1:
        if dest_params["index_type"] != 2:
            dest_params["partition_filters"] = 0
    if dest_params.get("atomic_flush", 0) == 1:
        # disable pipelined write when atomic flush is used.
        dest_params["enable_pipelined_write"] = 0
    # Truncating SST files in primary DB is incompatible
    # with secondary DB since the latter can't read the shared
    # and truncated SST file correctly
    if (
        dest_params.get("sst_file_manager_bytes_per_sec", 0) == 0
        or dest_params.get("test_secondary") == 1
    ):
        dest_params["sst_file_manager_bytes_per_truncate"] = 0
    if dest_params.get("prefix_size") == -1:
        dest_params["readpercent"] += dest_params.get("prefixpercent", 20)
        dest_params["prefixpercent"] = 0
    elif dest_params.get("simple") and dest_params.get("test_type") == "blackbox":
        # `db_stress` randomizes iterate_lower_bound independently of the seek
        # target. With a configured prefix extractor this can violate
        # ReadOptions' same-prefix requirement, so disable random iterator
        # operations in simple blackbox mode.
        dest_params["readpercent"] += dest_params.get("iterpercent", 10)
        dest_params["iterpercent"] = 0
    if (
        dest_params.get("prefix_size") == -1
        and dest_params.get("memtable_whole_key_filtering") == 0
    ):
        dest_params["memtable_prefix_bloom_size_ratio"] = 0
    if dest_params.get("two_write_queues") == 1:
        dest_params["enable_pipelined_write"] = 0
    if dest_params.get("best_efforts_recovery") == 1:
        dest_params["disable_wal"] = 1
        dest_params["enable_compaction_filter"] = 0
        dest_params["sync"] = 0
        dest_params["write_fault_one_in"] = 0
        dest_params["skip_verifydb"] = 1
        dest_params["verify_db_one_in"] = 0
    # For TransactionDB, correctness testing with unsync data loss is currently
    # compatible with only write committed policy
    if dest_params.get("use_txn") == 1 and dest_params.get("txn_write_policy", 0) != 0:
        dest_params["sync_fault_injection"] = 0
        dest_params["disable_wal"] = 0
        dest_params["manual_wal_flush_one_in"] = 0
        # Wide-column pessimistic transaction APIs are initially supported for
        # WriteCommitted only
        dest_params["use_put_entity_one_in"] = 0
        # MultiCfIterator is currently only compatible with write committed policy
        dest_params["use_multi_cf_iterator"] = 0
        # only works with write committed policy
        dest_params["commit_bypass_memtable_one_in"] = 0
        # not compatible with Remote Compaction yet
        dest_params["remote_compaction_worker_threads"] = 0
    # TODO(hx235): enable test_multi_ops_txns with fault injection after stabilizing the CI
    if dest_params.get("test_multi_ops_txns") == 1:
        dest_params["write_fault_one_in"] = 0
        dest_params["metadata_write_fault_one_in"] = 0
        dest_params["read_fault_one_in"] = 0
        dest_params["metadata_read_fault_one_in"] = 0
        if dest_params.get("txn_write_policy", 0) != 0:
            # TODO: should any of this change for WUP (txn_write_policy==2)?
            dest_params["wp_snapshot_cache_bits"] = 1
            # try small wp_commit_cache_bits, e.g. 0 once we explore storing full
            # commit sequence numbers in commit cache
            dest_params["wp_commit_cache_bits"] = 10
            # pipeline write is not currnetly compatible with WritePrepared txns
            dest_params["enable_pipelined_write"] = 0
            # OpenReadOnly after checkpoint is not currently compatible with WritePrepared txns
            dest_params["checkpoint_one_in"] = 0
            # Required to be 1 in order to use commit-time-batch
            dest_params["use_only_the_last_commit_time_batch_for_recovery"] = 1
            dest_params["clear_wp_commit_cache_one_in"] = 10
            # sequence number can be advanced in SwitchMemtable::WriteRecoverableState() for WP.
            # disable it for now until we find another way to test LockWAL().
            dest_params["lock_wal_one_in"] = 0

    # Wide column stress tests require FullMergeV3
    if dest_params["use_put_entity_one_in"] != 0:
        dest_params["use_full_merge_v1"] = 0
    if dest_params["file_checksum_impl"] == "none":
        dest_params["verify_file_checksums_one_in"] = 0
    if dest_params["write_fault_one_in"] > 0:
        # background work may be disabled while DB is resuming after some error
        dest_params["max_write_buffer_number"] = max(
            dest_params["max_write_buffer_number"], 10
        )
    if dest_params["secondary_cache_uri"].find("compressed_secondary_cache") >= 0:
        dest_params["compressed_secondary_cache_size"] = 0
        dest_params["compressed_secondary_cache_ratio"] = 0.0
    if dest_params["cache_type"].find("tiered_") >= 0:
        if dest_params["compressed_secondary_cache_size"] > 0:
            dest_params["compressed_secondary_cache_ratio"] = float(
                dest_params["compressed_secondary_cache_size"]
                / (
                    dest_params["cache_size"]
                    + dest_params["compressed_secondary_cache_size"]
                )
            )
            dest_params["compressed_secondary_cache_size"] = 0
        else:
            dest_params["compressed_secondary_cache_ratio"] = 0.0
            dest_params["cache_type"] = dest_params["cache_type"].replace("tiered_", "")
    else:
        if dest_params["secondary_cache_uri"]:
            dest_params["compressed_secondary_cache_size"] = 0
            dest_params["compressed_secondary_cache_ratio"] = 0.0
    if dest_params["use_write_buffer_manager"]:
        if dest_params["cache_size"] <= 0 or dest_params["db_write_buffer_size"] <= 0:
            dest_params["use_write_buffer_manager"] = 0
    if (
        dest_params["user_timestamp_size"] > 0
        and dest_params["persist_user_defined_timestamps"] == 0
    ):
        # Features that are not compatible with UDT in memtable only feature.
        dest_params["enable_blob_files"] = 0
        dest_params["allow_setting_blob_options_dynamically"] = 0
        dest_params["atomic_flush"] = 0
        dest_params["allow_concurrent_memtable_write"] = 0
        dest_params["block_protection_bytes_per_key"] = 0
        # TODO(yuzhangyu): make stress test logic handle this and enable testing
        # these APIs.
        # These operations need to compare side to side one operation with another.
        # It's hard to guarantee their consistency because when timestamps can be
        # collapsed, only operations using the same SuperVersion can be consistent
        # with each other. There is no external APIs to ensure that.
        dest_params["use_multiget"] = 0
        dest_params["use_multi_get_entity"] = 0
        dest_params["readpercent"] += dest_params.get("iterpercent", 10)
        dest_params["iterpercent"] = 0
        # Only best efforts recovery test support disabling wal and
        # disable atomic flush.
        if dest_params["test_best_efforts_recovery"] == 0:
            dest_params["disable_wal"] = 0
    if dest_params.get("user_timestamp_size", 0) > 0:
        # Interpolation search requires BytewiseComparator but user-defined
        # timestamps use BytewiseComparatorWithU64TsWrapper.
        dest_params["index_block_search_type"] = 0
        # TrieIndexFactory requires BytewiseComparator.
        dest_params["use_trie_index"] = 0
    if (
        dest_params.get("enable_compaction_filter", 0) == 1
        or dest_params.get("inplace_update_support", 0) == 1
    ):
        # Compaction filter, inplace update support are incompatible with snapshots. Need to avoid taking
        # snapshots, as well as avoid operations that use snapshots for
        # verification.
        dest_params["acquire_snapshot_one_in"] = 0
        dest_params["compact_range_one_in"] = 0
        # Redistribute to maintain 100% total
        dest_params["readpercent"] += dest_params.get(
            "iterpercent", 10
        ) + dest_params.get("prefixpercent", 20)
        dest_params["iterpercent"] = 0
        dest_params["prefixpercent"] = 0
        dest_params["check_multiget_consistency"] = 0
        dest_params["check_multiget_entity_consistency"] = 0
    if dest_params.get("disable_wal") == 0:
        if (
            dest_params.get("reopen", 0) > 0
            or (
                dest_params.get("manual_wal_flush_one_in")
                and dest_params.get("column_families") != 1
            )
            or (
                dest_params.get("use_txn") != 0
                and dest_params.get("use_optimistic_txn") == 0
            )
        ):
            # 1. Reopen with WAL currently requires persisting WAL data before closing for reopen.
            # Previous injected WAL write errors may not be cleared by the time of closing and ready
            # for persisting WAL.
            # To simplify, we disable any WAL write error injection.
            # TODO(hx235): support WAL write error injection with reopen
            #
            # 2. WAL write failure can drop buffered WAL data. This can cause
            # inconsistency when one CF has a successful flush during auto
            # recovery. Disable the fault injection in this path for now until
            # we have a fix that allows auto recovery.
            #
            # 3. Pessimistic transactions use 2PC, which can't auto-recover from WAL write errors.
            # This is because RocksDB cannot easily discard the corrupted WAL without risking the
            # loss of uncommitted prepared data within the same WAL.
            # Therefore disabling WAL write error injection in stress tests to prevent crashing
            # since stress test does not support injecting errors that can' be auto-recovered.
            #
            # TODO(hx235): support excluding WAL from metadata write fault injection so we don't
            # have to disable metadata write fault injection to other file
            dest_params["exclude_wal_from_write_fault_injection"] = 1
            dest_params["metadata_write_fault_one_in"] = 0
    # Disabling block align if mixed manager is being used
    if dest_params.get("compression_manager") == "custom":
        if dest_params.get("block_align") == 1:
            dest_params["block_align"] = 0
        if dest_params["format_version"] < 7:
            dest_params["format_version"] = 7
    elif (
        dest_params.get("compression_manager") == "mixed"
        or dest_params.get("compression_manager") == "randommixed"
    ):
        dest_params["block_align"] = 0
    elif dest_params.get("compression_manager") == "autoskip":
        # ensuring the compression is being used
        if dest_params.get("compression_type") == "none":
            dest_params["compression_type"] = random.choice(
                ["snappy", "zlib", "lz4", "lz4hc", "xpress", "zstd"]
            )
        if dest_params.get("bottommost_compression_type") == "none":
            dest_params["bottommost_compression_type"] = random.choice(
                ["snappy", "zlib", "lz4", "lz4hc", "xpress", "zstd"]
            )
        dest_params["block_align"] = 0
    else:
        # Enabling block_align with compression is not supported
        if dest_params.get("block_align") == 1:
            dest_params["compression_type"] = "none"
            dest_params["bottommost_compression_type"] = "none"
    # If periodic_compaction_seconds is not set, daily_offpeak_time_utc doesn't do anything
    if dest_params.get("periodic_compaction_seconds") == 0:
        dest_params["daily_offpeak_time_utc"] = ""
    # `use_put_entity_one_in` cannot be enabled/disabled across runs, modify
    # `use_timed_put_one_in` option so that they make sense together.
    if dest_params.get("use_put_entity_one_in") == 1:
        dest_params["use_timed_put_one_in"] = 0
    elif (
        dest_params.get("use_put_entity_one_in", 0) > 1
        and dest_params.get("use_timed_put_one_in") == 1
    ):
        dest_params["use_timed_put_one_in"] = 3
    if (
        dest_params.get("write_dbid_to_manifest") == 0
        and dest_params.get("write_identity_file") == 0
    ):
        # At least one must be true
        dest_params["write_dbid_to_manifest"] = 1
    # Checkpoint creation skips flush if the WAL is locked, so enabling lock_wal_one_in
    # can cause checkpoint verification to fail. So make the two mutually exclusive.
    if dest_params.get("checkpoint_one_in") != 0:
        dest_params["lock_wal_one_in"] = 0
    if (
        dest_params.get("ingest_external_file_one_in") == 0
        or dest_params.get("delrangepercent") == 0
    ):
        dest_params["test_ingest_standalone_range_deletion_one_in"] = 0
    if (
        dest_params.get("use_txn", 0) == 1
        and dest_params.get("commit_bypass_memtable_one_in", 0) > 0
    ):
        dest_params["enable_blob_files"] = 0
        dest_params["allow_setting_blob_options_dynamically"] = 0
        dest_params["allow_concurrent_memtable_write"] = 0
        dest_params["use_put_entity_one_in"] = 0
        dest_params["use_get_entity"] = 0
        dest_params["use_multi_get_entity"] = 0
        dest_params["enable_pipelined_write"] = 0
        dest_params["use_attribute_group"] = 0
    if (
        dest_params.get("enable_pipelined_write", 0)
        or dest_params.get("unordered_write", 0)
        or dest_params.get("disable_wal", 0) == 0
        or dest_params.get("user_timestamp_size", 0)
    ):
        dest_params["ingest_wbwi_one_in"] = 0
    # Continuous verification fails with secondaries inside NonBatchedOpsStressTest
    if dest_params.get("test_secondary") == 1:
        dest_params["continuous_verification_interval"] = 0
    if dest_params.get("use_multiscan") == 1:
        dest_params["async_io"] = 0
        dest_params["delpercent"] += dest_params["delrangepercent"]
        dest_params["delrangepercent"] = 0
        dest_params["prefix_size"] = -1
        dest_params["iterpercent"] += dest_params["prefixpercent"]
        dest_params["prefixpercent"] = 0
        dest_params["read_fault_one_in"] = 0
        dest_params["memtable_prefix_bloom_size_ratio"] = 0
        dest_params["max_sequential_skip_in_iterations"] = sys.maxsize
        dest_params["min_tombstones_for_range_conversion"] = 0
        # This option ingests a delete range that might partially overlap with
        # existing key range, which will cause a reseek that's currently not
        # supported by multiscan
        dest_params["test_ingest_standalone_range_deletion_one_in"] = 0
        # LevelIterator multiscan currently relies on num_entries and num_range_deletions,
        # which are not updated if skip_stats_update_on_db_open is true
        dest_params["skip_stats_update_on_db_open"] = 0
        dest_params["multiscan_max_prefetch_memory_bytes"] = random.choice(
            [0, 0, 64 * 1024, 256 * 1024]
        )

    # open_files_async requires skip_stats_update_on_db_open to avoid
    # synchronous I/O in UpdateAccumulatedStats during DB open
    if dest_params.get("skip_stats_update_on_db_open", 0) == 0:
        dest_params["open_files_async"] = 0

    # inplace update and key checksum verification during seek would cause race condition
    # Therefore, when inplace_update_support is enabled, disable memtable_veirfy_per_key_checksum_on_seek
    if dest_params["inplace_update_support"] == 1:
        dest_params["memtable_veirfy_per_key_checksum_on_seek"] = 0

    # allow_resumption requires remote compaction
    if dest_params.get("remote_compaction_worker_threads", 0) == 0:
        dest_params["allow_resumption_one_in"] = 0

    # When read-triggered compaction is enabled, use a short periodic trigger
    # interval so that the feature gets exercised on a quiet DB.
    if dest_params.get("read_triggered_compaction_threshold", 0) > 0:
        dest_params["max_compaction_trigger_wakeup_seconds"] = 20

    # Batch/snapshot stress relies on WAL-backed recovery semantics. Keep it
    # off for every finalized WAL-disabled profile, including blob direct
    # write presets that force disable_wal=1 earlier in sanitization.
    if dest_params.get("disable_wal", 0) == 1:
        dest_params["test_batches_snapshots"] = 0

    return dest_params


def gen_cmd_params(args):
    params = {}

    params.update(default_params)
    if args.test_type == "blackbox":
        params.update(blackbox_default_params)
    if args.test_type == "whitebox":
        params.update(whitebox_default_params)
    if args.simple:
        params.update(simple_default_params)
        if args.test_type == "blackbox":
            params.update(blackbox_simple_default_params)
        if args.test_type == "whitebox":
            params.update(whitebox_simple_default_params)
    if args.cf_consistency:
        params.update(cf_consistency_params)
    if args.txn:
        params.update(txn_params)
    if args.optimistic_txn:
        params.update(optimistic_txn_params)
    if args.test_best_efforts_recovery:
        params.update(best_efforts_recovery_params)
    if args.enable_ts:
        params.update(ts_params)
    if args.test_multiops_txn:
        params.update(multiops_txn_params)
    if args.test_tiered_storage:
        params.update(tiered_params)

    # Best-effort recovery, tiered storage are currently incompatible with
    # BlobDB and blob direct write. Test BE recovery if specified on the
    # command line; otherwise, apply one of the blob feature overrides with a
    # 10% chance.
    if (
        not args.test_best_efforts_recovery
        and not args.test_tiered_storage
        and params.get("test_secondary", 0) == 0
        and random.choice([0] * 9 + [1]) == 1
    ):
        params.update(
            random.choice(
                [
                    blob_params,
                    blob_direct_write_params,
                    blob_direct_write_get_entity_params,
                    blob_direct_write_multi_get_entity_params,
                ]
            )
        )

    if "compaction_style" not in params:
        # Default to leveled compaction
        # TODO: Fix "Unsafe to store Seq later" with tiered+leveled and
        # enable that combination rather than falling back to universal.
        # TODO: There is also an alleged bug with leveled compaction
        # infinite looping but that likely would not fail the crash test.
        params["compaction_style"] = 0 if not args.test_tiered_storage else 1

    for k, v in vars(args).items():
        if v is not None:
            params[k] = v
    return params


def gen_cmd(params, unknown_params):
    finalzied_params = finalize_and_sanitize(params)
    prepare_expected_values_dir(
        finalzied_params.get("expected_values_dir"),
        finalzied_params.get("destroy_db_initially", 0),
    )
    cmd = (
        [stress_cmd]
        + [
            f"--{k}={v}"
            for k, v in [(k, finalzied_params[k]) for k in sorted(finalzied_params)]
            if k
            not in {
                "test_type",
                "simple",
                "duration",
                "interval",
                "random_kill_odd",
                "cf_consistency",
                "txn",
                "optimistic_txn",
                "test_best_efforts_recovery",
                "enable_ts",
                "test_multiops_txn",
                "stress_cmd",
                "test_tiered_storage",
                "cleanup_cmd",
                "print_stderr_separately",
                "verify_timeout",
            }
            and v is not None
        ]
        + unknown_params
    )
    return cmd, finalzied_params


def human_readable_bytes(num_bytes):
    units = ("B", "KiB", "MiB", "GiB", "TiB", "PiB")
    value = float(num_bytes)
    unit_index = 0
    while value >= 1024.0 and unit_index + 1 < len(units):
        value /= 1024.0
        unit_index += 1
    if unit_index == 0:
        return f"{num_bytes}{units[unit_index]}"
    return f"{value:.2f}{units[unit_index]}"


def message_matches_no_space(message):
    lowered = message.lower()
    return any(needle in lowered for needle in _NO_SPACE_SUBSTRINGS)


def output_matches_no_space(stdout, stderr):
    return message_matches_no_space("\n".join([stdout, stderr]))


def file_type_suffix(path):
    basename = os.path.basename(path)
    dot_pos = basename.find(".")
    if dot_pos <= 0:
        return "<no_ext>"
    return basename[dot_pos:]


def add_existing_directory(roots, seen, candidate):
    if not candidate:
        return
    normalized = os.path.normpath(candidate)
    if normalized in seen:
        return
    try:
        if not os.path.isdir(normalized):
            return
    except OSError:
        return
    roots.append(normalized)
    seen.add(normalized)


def collect_diagnostic_roots(base_paths, stdout, stderr):
    roots = []
    seen = set()
    for path in base_paths:
        add_existing_directory(roots, seen, path)

    for output in [stdout, stderr]:
        for match in _OUTPUT_PATH_RE.finditer(output):
            candidate = match.group(1).rstrip(",:;.)]}")
            if not candidate.startswith("/"):
                continue
            if os.path.isdir(candidate):
                add_existing_directory(roots, seen, candidate)
                continue
            parent = os.path.dirname(candidate)
            if parent:
                add_existing_directory(roots, seen, parent)

    pruned_roots = []
    for root in sorted(roots, key=lambda path: (len(path), path)):
        if any(
            root == existing or existing == os.sep or root.startswith(existing + os.sep)
            for existing in pruned_roots
        ):
            continue
        pruned_roots.append(root)
    return pruned_roots


def format_filesystem_usage(path):
    if not hasattr(os, "statvfs"):
        return f"  {path}: filesystem usage unavailable on this platform"

    try:
        stats = os.statvfs(path)
    except OSError as exc:
        return f"  {path}: failed to collect filesystem usage: {exc}"

    block_size = stats.f_frsize or stats.f_bsize
    total_bytes = stats.f_blocks * block_size
    available_bytes = stats.f_bavail * block_size
    used_bytes = max(total_bytes - available_bytes, 0)
    used_pct = 0.0 if total_bytes == 0 else 100.0 * used_bytes / total_bytes
    return (
        f"  {path}: total={human_readable_bytes(total_bytes)} "
        f"used={human_readable_bytes(used_bytes)} "
        f"avail={human_readable_bytes(available_bytes)} "
        f"use={used_pct:.1f}%"
    )


def new_directory_usage():
    return {
        "local_file_count": 0,
        "local_dir_count": 0,
        "local_bytes": 0,
        "subtree_file_count": 0,
        "subtree_bytes": 0,
        "local_suffixes": {},
    }


def collect_directory_usage(root):
    entries = []
    errors = []
    global_suffixes = {}

    def walk(dirpath):
        summary = new_directory_usage()
        try:
            with os.scandir(dirpath) as iterator:
                children = sorted(list(iterator), key=lambda entry: entry.name)
        except OSError as exc:
            errors.append((dirpath, f"failed to enumerate directory contents: {exc}"))
            return summary

        for child in children:
            try:
                if child.is_dir(follow_symlinks=False):
                    summary["local_dir_count"] += 1
                    child_summary = walk(child.path)
                    summary["subtree_file_count"] += child_summary["subtree_file_count"]
                    summary["subtree_bytes"] += child_summary["subtree_bytes"]
                    continue

                file_size = child.stat(follow_symlinks=False).st_size
            except FileNotFoundError:
                continue
            except OSError as exc:
                errors.append((child.path, f"failed to stat child path: {exc}"))
                continue

            summary["local_file_count"] += 1
            summary["subtree_file_count"] += 1
            summary["local_bytes"] += file_size
            summary["subtree_bytes"] += file_size

            suffix = file_type_suffix(child.name)
            local_usage = summary["local_suffixes"].setdefault(
                suffix, {"count": 0, "bytes": 0}
            )
            local_usage["count"] += 1
            local_usage["bytes"] += file_size

            global_usage = global_suffixes.setdefault(suffix, {"count": 0, "bytes": 0})
            global_usage["count"] += 1
            global_usage["bytes"] += file_size

        entries.append((dirpath, summary))
        return summary

    root_summary = walk(root)
    return root_summary, entries, global_suffixes, errors


def sorted_suffix_usage(suffixes):
    return sorted(suffixes.items(), key=lambda item: (-item[1]["bytes"], item[0]))


def format_directory_usage(root):
    root_summary, entries, global_suffixes, errors = collect_directory_usage(root)
    lines = [
        "Directory usage for {}: subtree={} files={} descendant_dirs={}".format(
            root,
            human_readable_bytes(root_summary["subtree_bytes"]),
            root_summary["subtree_file_count"],
            max(len(entries) - 1, 0),
        )
    ]

    if not global_suffixes:
        lines.append(f"  No files found under {root}")
    else:
        lines.append("  Aggregate suffix totals:")
        for suffix, usage in sorted_suffix_usage(global_suffixes):
            lines.append(
                "    {} files={} bytes={}".format(
                    suffix,
                    usage["count"],
                    human_readable_bytes(usage["bytes"]),
                )
            )

        lines.append("  Per-directory suffix totals:")
        for dirpath, usage in sorted(
            entries,
            key=lambda item: (-item[1]["subtree_bytes"], item[0]),
        ):
            lines.append(
                "    {} subtree={} local={} local_files={} local_dirs={}".format(
                    dirpath,
                    human_readable_bytes(usage["subtree_bytes"]),
                    human_readable_bytes(usage["local_bytes"]),
                    usage["local_file_count"],
                    usage["local_dir_count"],
                )
            )
            for suffix, suffix_usage in sorted_suffix_usage(usage["local_suffixes"]):
                lines.append(
                    "      {} files={} bytes={}".format(
                        suffix,
                        suffix_usage["count"],
                        human_readable_bytes(suffix_usage["bytes"]),
                    )
                )

    if errors:
        lines.append("  Collection errors:")
        for path, error in errors:
            lines.append(f"    {path}: {error}")

    return lines


def build_out_of_space_diagnostics(
    stdout, stderr, diagnostic_paths=None, include_dev_shm=True
):
    if not output_matches_no_space(stdout, stderr):
        return ""

    roots = collect_diagnostic_roots(diagnostic_paths or [], stdout, stderr)
    lines = ["=== Out-of-space diagnostics ===", "Filesystem usage:"]
    if include_dev_shm and os.path.isdir("/dev/shm"):
        lines.append(format_filesystem_usage("/dev/shm"))
    for root in roots:
        lines.append(format_filesystem_usage(root))

    lines.append("Directory usage:")
    if not roots:
        lines.append("  no existing db_stress roots found")
    else:
        for root in roots:
            lines.extend(format_directory_usage(root))
    return "\n".join(lines) + "\n"


def diagnostic_paths(finalized_params):
    return [
        finalized_params.get("db"),
        finalized_params.get("expected_values_dir"),
    ]


def execute_cmd(cmd, timeout=None, timeout_pstack=False):
    child = subprocess.Popen(
        cmd, stderr=subprocess.PIPE, stdout=subprocess.PIPE, env=stress_cmd_env()
    )
    print(
        "Running db_stress with pid=%d: %s\n\n"
        % (child.pid, " ".join(quote_arg_for_display(arg) for arg in cmd))
    )
    pid = child.pid

    try:
        outs, errs = child.communicate(timeout=timeout)
        hit_timeout = False
        print("WARNING: db_stress ended before kill: exitcode=%d\n" % child.returncode)
    except subprocess.TimeoutExpired:
        hit_timeout = True
        if timeout_pstack:
            os.system("pstack %d" % pid)
        child.terminate()  # SIGTERM -- triggers TerminationHandler
        try:
            outs, errs = child.communicate(timeout=3)
            print("TERMINATED %d\n" % child.pid)
        except subprocess.TimeoutExpired:
            child.kill()
            print("KILLED %d (SIGTERM did not work)\n" % child.pid)
            outs, errs = child.communicate()

    return (
        hit_timeout,
        child.returncode,
        outs.decode("utf-8"),
        errs.decode("utf-8"),
        pid,
    )


def print_output_and_exit_on_error(
    stdout, stderr, print_stderr_separately=False, diagnostic_paths=None
):
    diagnostics = build_out_of_space_diagnostics(stdout, stderr, diagnostic_paths)
    if diagnostics:
        if stdout and not stdout.endswith("\n"):
            stdout += "\n"
        stdout += diagnostics

    print("stdout:\n", stdout)
    if len(stderr) == 0:
        return

    if print_stderr_separately:
        print("stderr:\n", stderr, file=sys.stderr)
    else:
        print("stderr:\n", stderr)

    sys.exit(2)


def print_run_output_and_exit_on_error(args, finalized_params, stdout, stderr):
    print_output_and_exit_on_error(
        stdout,
        stderr,
        args.print_stderr_separately,
        diagnostic_paths(finalized_params),
    )


def strip_expected_sigterm_stderr(stdout, stderr, hit_timeout):
    # Blackbox crash tests intentionally terminate db_stress with SIGTERM.
    # Filter this known post-SIGTERM io_uring stderr so it does not mask other
    # stderr or fail the timeout path spuriously.
    if not hit_timeout or _SIGTERM_STDOUT_MARKER not in stdout or len(stderr) == 0:
        return stdout, stderr

    kept_lines = []
    ignored_lines = []
    for line in stderr.splitlines(keepends=True):
        if _IGNORED_SIGTERM_STDERR_RE.fullmatch(line.rstrip("\n")):
            ignored_lines.append(line)
        else:
            kept_lines.append(line)

    if len(ignored_lines) == 0:
        return stdout, stderr

    if stdout and not stdout.endswith("\n"):
        stdout += "\n"
    stdout += "Ignored expected post-SIGTERM stderr while handling timeout:\n"
    stdout += "".join(ignored_lines)

    stderr = "".join(kept_lines)
    if not stderr.strip():
        stderr = ""
    return stdout, stderr


def cleanup_after_success(dbname):
    # Use db_stress --destroy_db_and_exit, which simplifies remote DB cleanup
    cleanup_cmd_parts = [stress_cmd, "--destroy_db_and_exit=1", "--db=" + dbname]
    # Pass through relevant arguments for remote DB access
    for arg in remain_args:
        parts = arg.split("=", 1)
        if parts[0] in ["--env_uri", "--fs_uri"]:
            cleanup_cmd_parts.append(arg)
    print("Running DB cleanup command - %s\n" % " ".join(cleanup_cmd_parts))
    ret = subprocess.call(cleanup_cmd_parts, env=stress_cmd_env())
    if ret != 0:
        print("ERROR: DB cleanup returned error %d\n" % ret)
        sys.exit(2)


def print_and_cleanup_fault_injection_log(pid):
    # Fault injection logs are stored in TEST_TMPDIR (or /tmp) to survive
    # DB reopen cleanup, and to be included in sandcastle's db.tar.gz artifact.
    # Filter by pid to only print the log from the current run.
    max_tail_entries = 32
    log_dir = os.environ.get(_TEST_DIR_ENV_VAR) or "/tmp"
    pattern = os.path.join(log_dir, "fault_injection_%d_*.log" % pid)
    for log in glob.glob(pattern):
        print("=== Fault injection log: %s ===" % log)
        try:
            with open(log) as f:
                lines = f.readlines()
            # Log format: header line(s), entry lines, footer line.
            # The footer starts with "=== End of".
            # Print header and footer always, truncate entries in the middle.
            header = []
            footer = []
            entries = []
            for line in lines:
                stripped = line.strip()
                if stripped.startswith("=== End of"):
                    footer.append(line)
                elif stripped.startswith("===") or stripped == "(none)":
                    header.append(line)
                else:
                    entries.append(line)
            total_entries = len(entries)
            print("".join(header), end="")
            if total_entries <= max_tail_entries:
                print("".join(entries), end="")
                print("".join(footer), end="")
            else:
                skipped = total_entries - max_tail_entries
                print(
                    "... (%d entries omitted, showing last %d. "
                    "Full log: %s)\n" % (skipped, max_tail_entries, log),
                    end="",
                )
                print("".join(entries[-max_tail_entries:]), end="")
                print(
                    "=== Showed %d of %d injected error entries ===\n"
                    % (max_tail_entries, total_entries),
                    end="",
                )
        except OSError:
            pass


# This script runs and kills db_stress multiple times. It checks consistency
# in case of unsafe crashes in RocksDB.
def blackbox_crash_main(args, unknown_args):
    cmd_params = gen_cmd_params(args)
    dbname = get_dbname("blackbox")
    exit_time = time.time() + cmd_params["duration"]

    print(
        "Running blackbox-crash-test with \n"
        + "interval_between_crash="
        + str(cmd_params["interval"])
        + "\n"
        + "total-duration="
        + str(cmd_params["duration"])
        + "\n"
    )

    while time.time() < exit_time:
        apply_random_seed_per_iteration()
        cmd, finalized_params = gen_cmd(
            dict(list(cmd_params.items()) + list({"db": dbname}.items())), unknown_args
        )

        hit_timeout, retcode, outs, errs, pid = execute_cmd(cmd, cmd_params["interval"])

        print_and_cleanup_fault_injection_log(pid)
        outs, errs = strip_expected_sigterm_stderr(outs, errs, hit_timeout)

        # Reset destroy_db_initially after each run (it may have been set by
        # command line for first run only)
        cmd_params["destroy_db_initially"] = 0

        if not hit_timeout:
            print("Exit Before Killing")
            print_run_output_and_exit_on_error(args, finalized_params, outs, errs)
            sys.exit(2)

        print_run_output_and_exit_on_error(args, finalized_params, outs, errs)

        time.sleep(1)  # time to stabilize before the next run

        time.sleep(1)  # time to stabilize before the next run

    # We should run the test one more time with VerifyOnly setup and no-timeout
    # Only do this if the tests are not failed for total-duration
    print("Running final time for verification")
    cmd_params.update({"verification_only": 1})
    cmd_params.update({"skip_verifydb": 0})

    cmd, finalized_params = gen_cmd(
        dict(list(cmd_params.items()) + list({"db": dbname}.items())), unknown_args
    )
    hit_timeout, retcode, outs, errs, pid = execute_cmd(
        cmd, cmd_params["verify_timeout"], True
    )

    print_and_cleanup_fault_injection_log(pid)

    # For the final run
    print_run_output_and_exit_on_error(args, finalized_params, outs, errs)

    # we need to clean up after ourselves -- only do this on test success
    cleanup_after_success(dbname)


# This python script runs db_stress multiple times. Some runs with
# kill_random_test that causes rocksdb to crash at various points in code.
def whitebox_crash_main(args, unknown_args):
    cmd_params = gen_cmd_params(args)
    dbname = get_dbname("whitebox")

    cur_time = time.time()
    exit_time = cur_time + cmd_params["duration"]
    half_time = cur_time + cmd_params["duration"] // 2

    print(
        "Running whitebox-crash-test with \n"
        + "total-duration="
        + str(cmd_params["duration"])
        + "\n"
    )

    total_check_mode = 4
    check_mode = 0
    kill_random_test = cmd_params["random_kill_odd"]
    kill_mode = 0
    prev_compaction_style = -1
    succeeded = True
    hit_timeout = False
    while time.time() < exit_time:
        apply_random_seed_per_iteration()
        if check_mode == 0:
            additional_opts = {
                # use large ops per thread since we will kill it anyway
                "ops_per_thread": 100
                * cmd_params["ops_per_thread"],
            }
            # run with kill_random_test, with three modes.
            # Mode 0 covers all kill points. Mode 1 covers less kill points but
            # increases change of triggering them. Mode 2 covers even less
            # frequent kill points and further increases triggering change.
            if kill_mode == 0:
                additional_opts.update(
                    {
                        "kill_random_test": kill_random_test,
                    }
                )
            elif kill_mode == 1:
                if cmd_params.get("disable_wal", 0) == 1:
                    my_kill_odd = kill_random_test // 50 + 1
                else:
                    my_kill_odd = kill_random_test // 10 + 1
                additional_opts.update(
                    {
                        "kill_random_test": my_kill_odd,
                        "kill_exclude_prefixes": "WritableFileWriter::Append,"
                        + "WritableFileWriter::WriteBuffered",
                    }
                )
            elif kill_mode == 2:
                # TODO: May need to adjust random odds if kill_random_test
                # is too small.
                additional_opts.update(
                    {
                        "kill_random_test": (kill_random_test // 5000 + 1),
                        "kill_exclude_prefixes": "WritableFileWriter::Append,"
                        "WritableFileWriter::WriteBuffered,"
                        "PosixMmapFile::Allocate,WritableFileWriter::Flush",
                    }
                )
            # Run kill mode 0, 1 and 2 by turn.
            kill_mode = (kill_mode + 1) % 3
        elif check_mode == 1:
            # normal run with universal compaction mode
            additional_opts = {
                "kill_random_test": None,
                "ops_per_thread": cmd_params["ops_per_thread"],
                "compaction_style": 1,
            }
            # Single level universal has a lot of special logic. Ensure we cover
            # it sometimes.
            if not args.test_tiered_storage and random.randint(0, 1) == 1:
                additional_opts["num_levels"] = 1
        elif check_mode == 2:
            # normal run with FIFO compaction mode
            # ops_per_thread is divided by 5 because FIFO compaction
            # style is quite a bit slower on reads with lot of files
            additional_opts = {
                "kill_random_test": None,
                "ops_per_thread": cmd_params["ops_per_thread"] // 5,
                "compaction_style": 2,
            }
            # TODO: test transition from non-FIFO to FIFO with num_levels > 1.
            # See https://github.com/facebook/rocksdb/pull/10348
            # For now, tiered storage FIFO (file_temperature_age_thresholds)
            # requires num_levels == 1 and non-tiered operates that way.
            if args.test_tiered_storage:
                additional_opts["num_levels"] = 1
        else:
            # normal run
            additional_opts = {
                "kill_random_test": None,
                "ops_per_thread": cmd_params["ops_per_thread"],
            }

        cur_compaction_style = additional_opts.get(
            "compaction_style", cmd_params.get("compaction_style", 0)
        )
        if (
            prev_compaction_style != -1
            and prev_compaction_style != cur_compaction_style
        ):
            print(
                "`compaction_style` is changed in current run so `destroy_db_initially` is set to 1 as a short-term solution to avoid cycling through previous db of different compaction style."
                + "\n"
            )
            cmd_params["destroy_db_initially"] = 1
        prev_compaction_style = cur_compaction_style

        cmd, finalized_params = gen_cmd(
            dict(
                list(cmd_params.items())
                + list(additional_opts.items())
                + list({"db": dbname}.items())
            ),
            unknown_args,
        )

        print(
            "Running:" + " ".join(cmd) + "\n"
        )  # noqa: E999 T25377293 Grandfathered in

        # If the running time is 15 minutes over the run time, explicit kill and
        # exit even if white box kill didn't hit. This is to guarantee run time
        # limit, as if it runs as a job, running too long will create problems
        # for job scheduling or execution.
        # TODO detect a hanging condition. The job might run too long as RocksDB
        # hits a hanging bug.
        hit_timeout, retncode, stdoutdata, stderrdata, pid = execute_cmd(
            cmd, exit_time - time.time() + 900
        )

        # Reset destroy_db_initially after each run (it may have been set by
        # command line for first run, or set for various reasons for a step)
        cmd_params["destroy_db_initially"] = 0

        msg = "check_mode={}, kill option={}, exitcode={}\n".format(
            check_mode, additional_opts["kill_random_test"], retncode
        )

        print(msg)
        print_run_output_and_exit_on_error(
            args, finalized_params, stdoutdata, stderrdata
        )

        if hit_timeout:
            print("Killing the run for running too long")
            break

        succeeded = False
        if additional_opts["kill_random_test"] is None and (retncode == 0):
            # we expect zero retncode if no kill option
            succeeded = True
        elif additional_opts["kill_random_test"] is not None and retncode <= 0:
            # When kill option is given, the test MIGHT kill itself.
            # If it does, negative retncode is expected. Otherwise 0.
            succeeded = True

        if not succeeded:
            print("TEST FAILED. See kill option and exit code above!!!\n")
            sys.exit(1)

        # First half of the duration, keep doing kill test. For the next half,
        # try different modes.
        if time.time() > half_time:
            # Set next iteration to destroy DB (works for remote DB)
            cmd_params["destroy_db_initially"] = 1
            check_mode = (check_mode + 1) % total_check_mode

        time.sleep(1)  # time to stabilize after a kill

    # If successfully finished or timed out (we currently treat timed out test as passing)
    # Clean up after ourselves
    if succeeded or hit_timeout:
        cleanup_after_success(dbname)


def main():
    global stress_cmd

    parser = argparse.ArgumentParser(
        description="This script runs and kills \
        db_stress multiple times"
    )
    parser.add_argument("test_type", choices=["blackbox", "whitebox"])
    parser.add_argument("--simple", action="store_true")
    parser.add_argument("--cf_consistency", action="store_true")
    parser.add_argument("--txn", action="store_true")
    parser.add_argument("--optimistic_txn", action="store_true")
    parser.add_argument("--test_best_efforts_recovery", action="store_true")
    parser.add_argument("--enable_ts", action="store_true")
    parser.add_argument("--test_multiops_txn", action="store_true")
    parser.add_argument("--stress_cmd")
    parser.add_argument("--test_tiered_storage", action="store_true")
    parser.add_argument("--cleanup_cmd")  # ignore old option for now
    parser.add_argument("--print_stderr_separately", action="store_true", default=False)

    all_params = dict(
        list(default_params.items())
        + list(blackbox_default_params.items())
        + list(whitebox_default_params.items())
        + list(simple_default_params.items())
        + list(blackbox_simple_default_params.items())
        + list(whitebox_simple_default_params.items())
        + list(blob_params.items())
        + list(blob_direct_write_params.items())
        + list(blob_direct_write_get_entity_params.items())
        + list(blob_direct_write_multi_get_entity_params.items())
        + list(ts_params.items())
        + list(multiops_txn_params.items())
        + list(best_efforts_recovery_params.items())
        + list(cf_consistency_params.items())
        + list(tiered_params.items())
        + list(txn_params.items())
        + list(optimistic_txn_params.items())
    )

    for k, v in all_params.items():
        parser.add_argument("--" + k, type=type(v() if callable(v) else v))
    # unknown_args are passed directly to db_stress

    args, unknown_args = parser.parse_known_args(remain_args)
    test_tmpdir = os.environ.get(_TEST_DIR_ENV_VAR)
    if test_tmpdir is not None and not is_remote_db:
        isdir = False
        try:
            isdir = os.path.isdir(test_tmpdir)
            if not isdir:
                print(
                    "ERROR: %s env var is set to a non-existent directory: %s. Update it to correct directory path."
                    % (_TEST_DIR_ENV_VAR, test_tmpdir)
                )
                sys.exit(1)
        except OSError:
            pass

    if args.stress_cmd:
        stress_cmd = args.stress_cmd
    if args.test_type == "blackbox":
        blackbox_crash_main(args, unknown_args)
    if args.test_type == "whitebox":
        whitebox_crash_main(args, unknown_args)
    # Only delete the `expected_values_dir` if test passes
    if expected_values_dir is not None:
        shutil.rmtree(expected_values_dir)
    if multiops_txn_key_spaces_file is not None:
        os.remove(multiops_txn_key_spaces_file)


if __name__ == "__main__":
    main()
