Complete training workflow and acceptance hardening

This commit is contained in:
andreysk0304 2026-09-26 18:12:27 +03:00 • committed by gglamer
commit 7237265833
243 changed files with 17014 additions and 1500 deletions

View file

@ -1,5 +1,5 @@
#!/usr/bin/env python3
"""Проверка последовательной записи PostgreSQL без изменения данных продукта."""
"""Проверка локальной пропускной способности записи PostgreSQL."""
import argparse
import asyncio
@ -9,6 +9,7 @@ import os
import statistics
import time
import urllib.parse
from uuid import uuid4
import asyncpg
@ -31,36 +32,112 @@ def percentile(values: list[float], percent: float) -> float:
async def run(args: argparse.Namespace) -> int:
if not 100 <= args.operations <= 10_000:
raise ValueError("operations должно быть от 100 до 10000")
if not 1 <= args.concurrency <= 100:
raise ValueError("concurrency должно быть от 1 до 100")
if args.workload == "temporary" and args.concurrency != 1:
raise ValueError("temporary workload поддерживает только concurrency=1")
database_url = local_database_url(args.database_url)
connection = await asyncpg.connect(database_url, timeout=10)
worker_count = min(args.concurrency, args.operations)
pool = (
await asyncpg.create_pool(
database_url, min_size=worker_count, max_size=worker_count,
command_timeout=30,
)
if args.workload == "audit" and worker_count > 1 else None
)
connection = await asyncpg.connect(database_url, timeout=10) if pool is None else None
latencies: list[float] = []
run_marker = None
cleanup_rows = 0
try:
async with connection.transaction():
await connection.execute("""
CREATE TEMPORARY TABLE lct_write_benchmark (
sequence_no integer PRIMARY KEY,
written_at timestamptz NOT NULL DEFAULT now(),
payload text NOT NULL
) ON COMMIT DROP
""")
if args.workload == "temporary":
assert connection is not None
async with connection.transaction():
await connection.execute("""
CREATE TEMPORARY TABLE lct_write_benchmark (
sequence_no integer PRIMARY KEY,
written_at timestamptz NOT NULL DEFAULT now(),
payload text NOT NULL
) ON COMMIT DROP
""")
started = time.perf_counter()
for sequence_no in range(args.operations):
operation_started = time.perf_counter()
await connection.execute(
"INSERT INTO lct_write_benchmark(sequence_no, payload) VALUES($1, $2)",
sequence_no, f"local-load-{sequence_no:05d}",
)
latencies.append((time.perf_counter() - operation_started) * 1000)
elapsed = time.perf_counter() - started
count = await connection.fetchval("SELECT count(*) FROM lct_write_benchmark")
else:
if not args.allow_audit_writes:
raise ValueError("для workload=audit требуется явный --allow-audit-writes")
assert pool is not None or connection is not None
fetchval = pool.fetchval if pool is not None else connection.fetchval
if await fetchval("SELECT to_regclass('public.audit_log')") is None:
raise ValueError("таблица public.audit_log отсутствует; сначала примените миграции")
# This opt-in mode measures durable product-table writes. Every
# INSERT autocommits and exercises the real audit index; exact
# run-scoped rows are removed in finally, even after a partial run.
run_marker = f"load-benchmark:{uuid4().hex}"
started = time.perf_counter()
for sequence_no in range(args.operations):
operation_started = time.perf_counter()
await connection.execute(
"INSERT INTO lct_write_benchmark(sequence_no, payload) VALUES($1, $2)",
sequence_no, f"local-load-{sequence_no:05d}",
)
latencies.append((time.perf_counter() - operation_started) * 1000)
async def write_partition(worker_index: int) -> None:
if pool is None:
assert connection is not None
worker_connection = connection
for sequence_no in range(worker_index, args.operations, worker_count):
operation_started = time.perf_counter()
await worker_connection.execute(
"""INSERT INTO public.audit_log(id, actor, role, action, object_id, detail)
VALUES($1, $2, 'system', 'benchmark.write', $3, $4)""",
uuid4(), "load-benchmark", run_marker, f"sequence={sequence_no}",
)
latencies.append((time.perf_counter() - operation_started) * 1000)
else:
async with pool.acquire() as worker_connection:
for sequence_no in range(worker_index, args.operations, worker_count):
operation_started = time.perf_counter()
await worker_connection.execute(
"""INSERT INTO public.audit_log(id, actor, role, action, object_id, detail)
VALUES($1, $2, 'system', 'benchmark.write', $3, $4)""",
uuid4(), "load-benchmark", run_marker, f"sequence={sequence_no}",
)
latencies.append((time.perf_counter() - operation_started) * 1000)
await asyncio.gather(*(write_partition(worker) for worker in range(worker_count)))
elapsed = time.perf_counter() - started
count = await connection.fetchval("SELECT count(*) FROM lct_write_benchmark")
count = await fetchval(
"SELECT count(*) FROM public.audit_log WHERE object_id = $1", run_marker
)
finally:
await connection.close()
try:
if run_marker is not None:
if pool is not None:
cleanup_rows = await pool.fetchval(
"WITH removed AS (DELETE FROM public.audit_log WHERE object_id = $1 RETURNING 1) "
"SELECT count(*) FROM removed", run_marker,
)
elif connection is not None:
cleanup_rows = await connection.fetchval(
"WITH removed AS (DELETE FROM public.audit_log WHERE object_id = $1 RETURNING 1) "
"SELECT count(*) FROM removed", run_marker,
)
finally:
if pool is not None:
await pool.close()
elif connection is not None:
await connection.close()
throughput = args.operations / elapsed
result = {
"database": "local PostgreSQL",
"workload": args.workload,
"operations_requested": args.operations,
"operations_written": count,
"cleanup_rows_deleted": cleanup_rows,
"concurrency": worker_count,
"elapsed_seconds": elapsed,
"operations_per_second": throughput,
"operation_latency_ms": {
@ -69,9 +146,17 @@ async def run(args: argparse.Namespace) -> int:
"p95": percentile(latencies, 95),
"max": max(latencies),
},
"pass_100_writes_per_second": count == args.operations and throughput >= 100,
"pass_100_writes_per_second": (
count == args.operations
and throughput >= 100
and (args.workload != "audit" or cleanup_rows == args.operations)
),
"scope": (
"sequential INSERT statements over one local asyncpg connection into a temporary "
f"autocommitted INSERTs over {worker_count} local asyncpg connection(s) into the "
"indexed product audit_log table; this run's rows are deleted in finally; "
"not target 6-core/32-GB hardware"
if args.workload == "audit" else
"sequential INSERT statements over one local asyncpg connection into a temporary "
"table; table is dropped on commit; not target 6-core/32-GB hardware"
),
}
@ -90,6 +175,16 @@ if __name__ == "__main__":
default=os.environ.get("DATABASE_URL", "postgresql://lct:lct@127.0.0.1:5432/lct"),
)
parser.add_argument("--operations", type=int, default=1000)
parser.add_argument("--concurrency", type=int, default=1,
help="number of concurrent PostgreSQL clients (audit workload only)")
parser.add_argument(
"--workload", choices=("temporary", "audit"), default="temporary",
help="temporary benchmark table (default) or real indexed audit_log writes",
)
parser.add_argument(
"--allow-audit-writes", action="store_true",
help="required opt-in: workload=audit inserts then removes rows in audit_log",
)
parser.add_argument("--output", help="сохранить JSON-отчёт")
try:
raise SystemExit(asyncio.run(run(parser.parse_args())))