Files
greptimedb/.github/scripts/query-regression-run.py
T
Weny Xu ec59131d39 feat(ci): support optional Docker targets for query regression (#10028)
* feat(ci): support optional Docker targets for query regression

Signed-off-by: WenyXu <wenymedia@gmail.com>

* fix(ci): enable Docker when provisioning image regression runners

Signed-off-by: WenyXu <wenymedia@gmail.com>

* feat(ci): publish precompiled query regression helpers with pin update PRs

Signed-off-by: WenyXu <wenymedia@gmail.com>

* fix(ci): retry helper image publication on registry timeouts

Signed-off-by: WenyXu <wenymedia@gmail.com>

* fix(ci): publish helper artifacts with hosted Skopeo job

Signed-off-by: WenyXu <wenymedia@gmail.com>

* refactor(ci): update helper image through repository variable

Signed-off-by: WenyXu <wenymedia@gmail.com>

---------

Signed-off-by: WenyXu <wenymedia@gmail.com>
2026-10-30 00:23:47 +00:00

836 lines
32 KiB
Python

#!/usr/bin/env python3
# Copyright 2023 Greptime Team
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Run one or more query regression cases after the binaries are built."""
from __future__ import annotations
import argparse
import json
import os
import re
import shlex
import signal
import socket
import subprocess
import sys
import time
import uuid
import urllib.request
from dataclasses import dataclass
from pathlib import Path
from typing import Any
DEFAULT_CASES = [
"tests/perf/query_cases/smoke_direct_sst/case.toml",
"tests/perf/query_cases/sst_float_bss/case.toml",
"tests/perf/query_cases/prom_remote_write_seeded_random/case.toml",
"tests/perf/query_cases/prom_remote_write_run_heavy/case.toml",
"tests/perf/query_cases/prom_remote_write_mixed_every/case.toml",
"tests/perf/query_cases/prom_remote_write_integer_counter/case.toml",
"tests/perf/query_cases/promql_range_boundary/case.toml",
"tests/perf/query_cases/promql_instant_last_row_9034/case.toml",
"tests/perf/query_cases/mito_prefilter_all_match/case.toml",
]
HEAVY_CASES = [
"tests/perf/query_cases/prom_remote_write_7913/case.toml",
# High-cardinality direct-SST cases exceed the default query-regression
# runner's resources (the self-hosted runner is repeatedly lost during the
# run). Keep them in the heavy set so they only run on demand.
"tests/perf/query_cases/promql_constant_tag_concat_ms_10k/case.toml",
"tests/perf/query_cases/promql_constant_tag_concat_ms_100k/case.toml",
]
CASE_GROUPS = {
"all": DEFAULT_CASES,
"heavy": HEAVY_CASES,
}
def split_cases(values: list[str]) -> list[str]:
tokens: list[str] = []
for value in values:
tokens.extend(part for part in re.split(r"[\s,]+", value.strip()) if part)
if not tokens:
return DEFAULT_CASES.copy()
if "all" in tokens and len(tokens) > 1:
raise ValueError("'all' cannot be mixed with other case selectors")
cases: list[str] = []
for token in tokens:
cases.extend(CASE_GROUPS.get(token, [token]))
return list(dict.fromkeys(cases))
def parse_bool(value: str) -> bool:
return value.lower() in {"1", "true", "yes", "on"}
def profile_dir(cargo_profile: str) -> str:
if cargo_profile == "dev":
return "debug"
return cargo_profile
def configured_path(value: str | None) -> Path | None:
if not value or not value.strip():
return None
return Path(value.strip())
def resolve_case_path(candidate_src: Path, case: str) -> Path:
path = Path(case)
if path.is_absolute() or path.parts[:1] == (candidate_src.name,):
return path
return candidate_src / path
def case_slug(case_path: Path) -> str:
raw = case_path.parent.name if case_path.name == "case.toml" else case_path.stem
return re.sub(r"[^A-Za-z0-9_.-]+", "-", raw).strip("-") or "case"
def append_github_output(path: str | None, status: int) -> None:
if not path:
return
with open(path, "a", encoding="utf-8") as fp:
fp.write(f"status={status}\n")
def append_step_summary(summary: Path) -> None:
step_summary = os.environ.get("GITHUB_STEP_SUMMARY")
if not step_summary or not summary.exists():
return
with open(step_summary, "a", encoding="utf-8") as out:
out.write(summary.read_text())
@dataclass(frozen=True)
class RunTarget:
name: str
binary: Path
work_dir: Path
http_port: int
grpc_port: int
mysql_port: int
postgres_port: int
metasrv_rpc_port: int
metasrv_http_port: int
datanode_rpc_port: int
datanode_http_port: int
datanode_data_dir: Path
frontend_config: Path | None = None
containerized: bool = False
def allocate_ports(n: int) -> list[int]:
socks = []
try:
for _ in range(n):
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.bind(("127.0.0.1", 0))
socks.append(sock)
return [sock.getsockname()[1] for sock in socks]
finally:
for sock in socks:
sock.close()
def make_target(
name: str,
binary: Path,
root: Path,
ports: list[int],
frontend_config: Path | None = None,
containerized: bool = False,
) -> RunTarget:
work_dir = root / name
return RunTarget(
name=name,
binary=binary,
work_dir=work_dir,
http_port=ports[4],
grpc_port=ports[5],
mysql_port=ports[6],
postgres_port=ports[7],
metasrv_rpc_port=ports[0],
metasrv_http_port=ports[1],
datanode_rpc_port=ports[2],
datanode_http_port=ports[3],
datanode_data_dir=work_dir / "datanode-0" / "data",
frontend_config=frontend_config,
containerized=containerized,
)
def wait_health(port: int, timeout_s: float = 60.0) -> None:
deadline = time.monotonic() + timeout_s
last: Exception | None = None
while time.monotonic() < deadline:
try:
with urllib.request.urlopen(f"http://127.0.0.1:{port}/health", timeout=2) as response:
if response.status < 500:
return
except Exception as err: # noqa: BLE001 - retain the last health diagnostic
last = err
time.sleep(0.5)
raise TimeoutError(f"health check timed out on port {port}: {last}")
def component_log_dir(target: RunTarget, name: str) -> Path:
return target.work_dir / "logs" / ("datanode-0" if name == "datanode" else name)
def component_command(target: RunTarget, name: str) -> list[str]:
log_dir = component_log_dir(target, name)
if name == "metasrv":
return [
str(target.binary), "metasrv", "start",
"--grpc-bind-addr", f"127.0.0.1:{target.metasrv_rpc_port}",
"--grpc-server-addr", f"127.0.0.1:{target.metasrv_rpc_port}",
"--http-addr", f"127.0.0.1:{target.metasrv_http_port}",
"--backend", "memory-store", "--enable-region-failover", "false",
"--log-dir", str(log_dir),
]
if name == "datanode":
return [
str(target.binary), "datanode", "start",
"--grpc-bind-addr", f"127.0.0.1:{target.datanode_rpc_port}",
"--grpc-server-addr", f"127.0.0.1:{target.datanode_rpc_port}",
"--http-addr", f"127.0.0.1:{target.datanode_http_port}",
"--data-home", str(target.datanode_data_dir), "--log-dir", str(log_dir),
"--node-id", "0", "--metasrv-addrs", f"127.0.0.1:{target.metasrv_rpc_port}",
]
if name == "frontend":
command = [str(target.binary), "frontend", "start"]
if target.frontend_config is not None:
command.extend(["--config-file", str(target.frontend_config)])
command.extend([
"--metasrv-addrs", f"127.0.0.1:{target.metasrv_rpc_port}",
"--http-addr", f"127.0.0.1:{target.http_port}",
"--grpc-bind-addr", f"127.0.0.1:{target.grpc_port}",
"--grpc-server-addr", f"127.0.0.1:{target.grpc_port}",
"--mysql-addr", f"127.0.0.1:{target.mysql_port}",
"--postgres-addr", f"127.0.0.1:{target.postgres_port}",
"--log-dir", str(log_dir),
])
return command
raise ValueError(f"unknown component: {name}")
def start_component(
target: RunTarget,
name: str,
procs: dict[tuple[str, str], subprocess.Popen[bytes]],
) -> None:
if name != "metasrv":
metasrv = procs.get((target.name, "metasrv"))
if metasrv is None or metasrv.poll() is not None:
raise RuntimeError("metasrv exited; memory-store metadata is no longer valid")
if name == "datanode":
target.datanode_data_dir.mkdir(parents=True, exist_ok=True)
logs = component_log_dir(target, name)
logs.mkdir(parents=True, exist_ok=True)
with (logs / "stdout.log").open("ab") as out, (logs / "stderr.log").open("ab") as err:
procs[(target.name, name)] = subprocess.Popen(
component_command(target, name),
stdout=out,
stderr=err,
start_new_session=True,
)
wait_health({
"metasrv": target.metasrv_http_port,
"datanode": target.datanode_http_port,
"frontend": target.http_port,
}[name])
def stop_component(
target: RunTarget,
name: str,
procs: dict[tuple[str, str], subprocess.Popen[bytes]],
) -> None:
proc = procs.pop((target.name, name), None)
if proc is None:
return
if proc.poll() is not None:
if target.containerized and proc.returncode != 0:
raise RuntimeError(f"Docker target {target.name}/{name} exited with {proc.returncode}")
return
try:
os.killpg(proc.pid, signal.SIGTERM)
except ProcessLookupError:
return
try:
proc.wait(timeout=20)
except subprocess.TimeoutExpired:
try:
os.killpg(proc.pid, signal.SIGKILL)
except ProcessLookupError:
return
proc.wait(timeout=20)
if target.containerized and proc.returncode not in (0, 128 + signal.SIGTERM):
raise RuntimeError(f"Docker target {target.name}/{name} cleanup failed: {proc.returncode}")
def restart_component(
target: RunTarget,
name: str,
procs: dict[tuple[str, str], subprocess.Popen[bytes]],
) -> None:
stop_component(target, name, procs)
start_component(target, name, procs)
def stop_all(targets: list[RunTarget], procs: dict[tuple[str, str], subprocess.Popen[bytes]]) -> None:
errors = []
for target in reversed(targets):
for name in ("frontend", "datanode", "metasrv"):
try:
stop_component(target, name, procs)
except Exception as err:
errors.append(err)
if errors:
raise RuntimeError(f"component cleanup failed: {errors}") from errors[0]
def load_plan(fixture_generator: Path, case_path: Path) -> dict[str, Any]:
result = subprocess.run(
[str(fixture_generator), "plan", "--case", str(case_path)],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
check=False,
)
if result.returncode != 0:
raise RuntimeError(f"query_perf_fixture plan failed: {result.stderr[:2000]}")
return json.loads(result.stdout)
def run_direct_case(
args: argparse.Namespace,
case_path: Path,
work_dir: Path,
base_bin: Path,
candidate_bin: Path,
fixture_generator: Path,
runner: Path,
) -> int:
ports = allocate_ports(16)
targets = [
make_target("base", base_bin, work_dir, ports[:8], containerized=bool(getattr(args, "base_image", ""))),
make_target("candidate", candidate_bin, work_dir, ports[8:], containerized=bool(getattr(args, "candidate_image", ""))),
]
for target in targets:
if target.work_dir.exists() and any(target.work_dir.iterdir()):
raise RuntimeError(f"target work_dir exists and is non-empty: {target.work_dir}")
target.work_dir.mkdir(parents=True, exist_ok=True)
procs: dict[tuple[str, str], subprocess.Popen[bytes]] = {}
try:
for target in targets:
start_component(target, "metasrv", procs)
start_component(target, "datanode", procs)
start_component(target, "frontend", procs)
prepare = [
str(runner), "prepare-direct", "--case", str(case_path),
"--fixture-generator", str(fixture_generator),
"--base-http-port", str(targets[0].http_port),
"--candidate-http-port", str(targets[1].http_port),
"--fixture-dir", str(work_dir / "fixture"),
"--output", str(work_dir / "prepare-direct.json"),
"--http-timeout", str(args.http_timeout),
]
if parse_bool(args.allow_large_fixture):
prepare.append("--allow-large-fixture")
prepare_status = subprocess.run(prepare, check=False).returncode
if prepare_status != 0:
return prepare_status
for target in targets:
stop_component(target, "datanode", procs)
prepared = json.loads((work_dir / "prepare-direct.json").read_text(encoding="utf-8"))
fixtures = prepared.get("fixtures")
if not isinstance(fixtures, list):
raise RuntimeError("prepare-direct report has no fixtures array")
for target in targets:
destination = target.work_dir / "materialize-destination.toml"
destination.write_text(
f"data_home = {json.dumps(str(target.datanode_data_dir))}\n"
"object_store = { type = \"File\" }\n",
encoding="utf-8",
)
for fixture in fixtures:
fixture_dir = fixture.get("fixture_dir") if isinstance(fixture, dict) else None
if not isinstance(fixture_dir, str):
raise RuntimeError("prepare-direct fixture record has no fixture_dir")
materialize = [
str(runner), "materialize", "--fixture-dir", fixture_dir,
"--destination", str(destination),
]
materialize_status = subprocess.run(materialize, check=False).returncode
if materialize_status != 0:
return materialize_status
for target in targets:
start_component(target, "datanode", procs)
measure = [
str(runner), "measure", "--case", str(case_path),
"--fixture-generator", str(fixture_generator),
"--base-http-port", str(targets[0].http_port),
"--candidate-http-port", str(targets[1].http_port),
"--output", str(work_dir / "query-regression-report.json"),
"--http-timeout", str(args.http_timeout),
]
status = subprocess.run(measure, check=False).returncode
if status != 0:
for target in targets:
restart_component(target, "frontend", procs)
status = subprocess.run(measure, check=False).returncode
return status
finally:
stop_all(targets, procs)
def run_remote_case(
args: argparse.Namespace,
case_path: Path,
work_dir: Path,
base_bin: Path,
candidate_bin: Path,
fixture_generator: Path,
runner: Path,
) -> int:
ports = allocate_ports(16)
targets = [
make_target(
"base",
base_bin,
work_dir,
ports[:8],
work_dir / "base" / "frontend-prom-store.toml",
containerized=bool(getattr(args, "base_image", "")),
),
make_target(
"candidate",
candidate_bin,
work_dir,
ports[8:],
work_dir / "candidate" / "frontend-prom-store.toml",
containerized=bool(getattr(args, "candidate_image", "")),
),
]
for target in targets:
if target.work_dir.exists() and any(target.work_dir.iterdir()):
raise RuntimeError(f"target work_dir exists and is non-empty: {target.work_dir}")
target.work_dir.mkdir(parents=True, exist_ok=True)
if target.frontend_config is None:
raise RuntimeError(f"remote target has no frontend config path: {target.name}")
render = [
str(runner), "render-remote-config", "--case", str(case_path),
"--fixture-generator", str(fixture_generator),
"--output", str(target.frontend_config),
]
render_status = subprocess.run(render, check=False).returncode
if render_status != 0:
return render_status
procs: dict[tuple[str, str], subprocess.Popen[bytes]] = {}
report = work_dir / "query-regression-report.json"
try:
for target in targets:
start_component(target, "metasrv", procs)
start_component(target, "datanode", procs)
start_component(target, "frontend", procs)
prepare = [
str(runner), "prepare-remote", "--case", str(case_path),
"--fixture-generator", str(fixture_generator),
"--base-http-port", str(targets[0].http_port),
"--candidate-http-port", str(targets[1].http_port),
"--output", str(work_dir / "prepare-remote.json"),
"--http-timeout", str(args.http_timeout),
]
prepare_status = subprocess.run(prepare, check=False).returncode
if prepare_status != 0:
return prepare_status
measure = [
str(runner), "measure", "--case", str(case_path),
"--fixture-generator", str(fixture_generator),
"--base-http-port", str(targets[0].http_port),
"--candidate-http-port", str(targets[1].http_port),
"--output", str(report), "--http-timeout", str(args.http_timeout),
]
measure_status = subprocess.run(measure, check=False).returncode
if measure_status != 0 and not report.exists():
return measure_status
for target in targets:
stop_component(target, "datanode", procs)
finalize = [
str(runner), "finalize-remote", "--case", str(case_path),
"--fixture-generator", str(fixture_generator),
"--candidate-bin", str(candidate_bin),
"--base-data-home", str(targets[0].datanode_data_dir),
"--candidate-data-home", str(targets[1].datanode_data_dir),
"--report", str(report),
]
finalize_status = subprocess.run(finalize, check=False).returncode
if finalize_status != 0:
return finalize_status
final_report = json.loads(report.read_text(encoding="utf-8"))
return 1 if measure_status != 0 or final_report.get("status") == "failed" else 0
finally:
stop_all(targets, procs)
def run_otlp_case(
args: argparse.Namespace,
case_path: Path,
work_dir: Path,
base_bin: Path,
candidate_bin: Path,
fixture_generator: Path,
runner: Path,
) -> int:
if args.otelgen_bin is None:
raise ValueError("--otelgen-bin is required for otlp_trace_load")
ports = allocate_ports(16)
targets = [
make_target("base", base_bin, work_dir, ports[:8], containerized=bool(getattr(args, "base_image", ""))),
make_target("candidate", candidate_bin, work_dir, ports[8:], containerized=bool(getattr(args, "candidate_image", ""))),
]
for target in targets:
if target.work_dir.exists() and any(target.work_dir.iterdir()):
raise RuntimeError(f"target work_dir exists and is non-empty: {target.work_dir}")
target.work_dir.mkdir(parents=True, exist_ok=True)
procs: dict[tuple[str, str], subprocess.Popen[bytes]] = {}
try:
for target in targets:
try:
start_component(target, "metasrv", procs)
start_component(target, "datanode", procs)
start_component(target, "frontend", procs)
command = [
str(runner), "run-otlp-target", "--case", str(case_path),
"--fixture-generator", str(fixture_generator),
"--otelgen-bin", str(args.otelgen_bin),
"--http-port", str(target.http_port),
"--target-name", target.name,
"--work-dir", str(target.work_dir),
"--output", str(target.work_dir / "report.json"),
"--http-timeout", str(args.http_timeout),
]
status = subprocess.run(command, check=False).returncode
finally:
stop_all([target], procs)
if status != 0:
return status
output = work_dir / "query-regression-report.json"
finalize = [
str(runner), "finalize-otlp", "--case", str(case_path),
"--fixture-generator", str(fixture_generator),
"--base-result", str(targets[0].work_dir / "report.json"),
"--candidate-result", str(targets[1].work_dir / "report.json"),
"--output", str(output),
]
status = subprocess.run(finalize, check=False).returncode
if status != 0:
return status
report = json.loads(output.read_text(encoding="utf-8"))
return 1 if report.get("status") == "failed" else 0
finally:
stop_all(targets, procs)
def run_case(args: argparse.Namespace, case_path: Path, work_dir: Path) -> int:
target_dir = profile_dir(args.cargo_profile)
base_bin = args.base_bin or args.base_src / "target" / target_dir / "greptime"
candidate_bin = args.candidate_bin or args.candidate_src / "target" / target_dir / "greptime"
fixture_generator = args.fixture_generator or args.candidate_src / "target" / target_dir / "query_perf_fixture"
runner = args.runner or args.candidate_src / "target" / target_dir / "query_regression_runner"
plan = load_plan(fixture_generator, case_path)
scenario = plan.get("scenario")
kind = scenario.get("kind") if isinstance(scenario, dict) else None
print(f"::group::Query regression case: {case_path}", flush=True)
try:
if kind == "direct_readable_sst":
return run_direct_case(
args,
case_path,
work_dir,
base_bin,
candidate_bin,
fixture_generator,
runner,
)
if kind == "prom_remote_write_then_query":
return run_remote_case(
args,
case_path,
work_dir,
base_bin,
candidate_bin,
fixture_generator,
runner,
)
if kind == "otlp_trace_load":
return run_otlp_case(
args,
case_path,
work_dir,
base_bin,
candidate_bin,
fixture_generator,
runner,
)
raise ValueError(
f"unsupported scenario kind {kind!r}; supported: "
"'direct_readable_sst', 'prom_remote_write_then_query', 'otlp_trace_load'"
)
finally:
print("::endgroup::", flush=True)
def write_summary(args: argparse.Namespace, reports: list[Path]) -> int:
cmd = ["uv", "run", "--no-project", "python", str(args.summary_script)]
for report in reports:
cmd.extend(["--report", str(report)])
cmd.extend(
[
"--run-url",
args.run_url,
"--case-name",
args.case_name,
"--base-ref",
args.base_ref,
"--candidate-ref",
args.candidate_ref,
"--output",
str(args.summary_output),
]
)
return subprocess.run(cmd, check=False).returncode
def write_failed_report(work_dir: Path, case_path: Path, error: Exception) -> None:
work_dir.mkdir(parents=True, exist_ok=True)
path = work_dir / "query-regression-report.json"
try:
report = json.loads(path.read_text(encoding="utf-8"))
if not isinstance(report, dict) or not isinstance(report.get("targets"), list) or not isinstance(report.get("thresholds"), list):
raise ValueError("existing report is malformed")
except (OSError, ValueError, json.JSONDecodeError):
report = {
"case_path": str(case_path),
"targets": [],
"thresholds": [],
}
report["status"] = "failed"
report["error"] = repr(error)
path.write_text(
json.dumps(report, indent=2, sort_keys=True) + "\n",
encoding="utf-8",
)
def docker_target(image: str, root: Path, command: list[str]) -> int:
"""Expose an image as a binary, including read-bench subcommands.
The caller terminates a process group. Keep Docker clients in separate
sessions so cleanup can stop the container before SST inspection starts.
"""
name = f"query-regression-{uuid.uuid4().hex}"
def interrupted(signum, _frame):
raise SystemExit(128 + signum)
previous = {sig: signal.signal(sig, interrupted) for sig in (signal.SIGTERM, signal.SIGINT)}
try:
subprocess.run([
"docker", "create", "--name", name, "--network", "host",
"--user", f"{os.getuid()}:{os.getgid()}",
"--volume", f"{root}:{root}", "--workdir", str(root),
"--entrypoint", "/greptime/bin/greptime", image, *command,
], check=True, stdout=subprocess.DEVNULL, start_new_session=True)
attached = subprocess.run(
["docker", "start", "--attach", name], check=False, start_new_session=True,
)
if attached.returncode != 0:
return attached.returncode
# docker start's status is not the contract for the container's exit code.
result = subprocess.run(
["docker", "inspect", "--format", "{{.State.ExitCode}}", name],
check=True, capture_output=True, text=True, start_new_session=True,
)
return int(result.stdout.strip())
finally:
for sig in previous:
signal.signal(sig, signal.SIG_IGN)
try:
subprocess.run(
["docker", "stop", "--time", "5", name], check=False,
stdout=subprocess.DEVNULL, timeout=8, start_new_session=True,
)
except subprocess.TimeoutExpired:
# Force-removal below still waits for the container to stop.
pass
finally:
try:
subprocess.run(
["docker", "rm", "--force", "--volumes", name], check=True,
stdout=subprocess.DEVNULL, timeout=5, start_new_session=True,
)
finally:
for sig, handler in previous.items():
signal.signal(sig, handler)
def prepare_targets(args: argparse.Namespace) -> dict[str, Any]:
"""Resolve images once and create binary-compatible launchers for all cases."""
metadata = {}
images = {}
for name in ("base", "candidate"):
image = getattr(args, f"{name}_image")
ref = getattr(args, f"{name}_ref")
if not image:
metadata[name] = {"kind": "source", "ref": os.environ.get(f"VERIFIED_{name.upper()}_SHA") or ref}
continue
if sys.platform != "linux":
raise ValueError("Docker targets require Linux host networking and a local Docker daemon")
if image.startswith("-") or any(c.isspace() for c in image):
raise ValueError(f"invalid {name} image reference: {image!r}")
if image not in images:
result = subprocess.run(
["docker", "image", "inspect", image], check=False, capture_output=True, text=True,
)
if result.returncode != 0:
subprocess.run(["docker", "pull", image], check=True)
result = subprocess.run(
["docker", "image", "inspect", image], check=True, capture_output=True, text=True,
)
images[image] = json.loads(result.stdout)[0]
info = images[image]
image_id = info["Id"]
if not re.fullmatch(r"sha256:[0-9a-f]{64}", image_id):
raise ValueError(f"invalid Docker image ID: {image_id!r}")
args.work_dir = args.work_dir.resolve()
if ":" in str(args.work_dir):
raise ValueError("Docker target work directory cannot contain ':'")
launchers = args.work_dir / ".targets"
launchers.mkdir(parents=True, exist_ok=True)
launcher = launchers / name
command = [sys.executable, str(Path(__file__).resolve()),
"docker-target", image_id, str(args.work_dir)]
launcher.write_text("#!/bin/sh\nexec " + shlex.join(command) + ' "$@"\n', encoding="utf-8")
launcher.chmod(0o755)
setattr(args, f"{name}_bin", launcher)
setattr(args, f"{name}_ref", f"{image} ({image_id})")
metadata[name] = {
"kind": "docker", "image": image, "image_id": image_id,
"repo_digests": info.get("RepoDigests", []),
"network": "host", "user": f"{os.getuid()}:{os.getgid()}",
}
return metadata
def main() -> int:
parser = argparse.ArgumentParser()
parser.add_argument("--cases", action="append", help="'all', 'heavy', or comma/space separated case paths")
parser.add_argument("--base-src", type=Path, default=Path("base-src"))
parser.add_argument("--candidate-src", type=Path, default=Path("candidate-src"))
parser.add_argument("--base-bin", type=Path, default=configured_path(os.environ.get("BASE_BIN")))
parser.add_argument("--candidate-bin", type=Path, default=configured_path(os.environ.get("CANDIDATE_BIN")))
parser.add_argument(
"--fixture-generator",
type=Path,
default=configured_path(os.environ.get("FIXTURE_GENERATOR")),
)
parser.add_argument("--otelgen-bin", type=Path, default=configured_path(os.environ.get("OTELGEN_BIN")))
parser.add_argument("--runner", type=Path, default=configured_path(os.environ.get("QUERY_REGRESSION_RUNNER")))
parser.add_argument("--cargo-profile", default=os.environ.get("CARGO_PROFILE", "nightly"))
parser.add_argument("--work-dir", default=Path("query-regression-work"), type=Path)
parser.add_argument("--http-timeout", default=os.environ.get("HTTP_TIMEOUT", "300"))
parser.add_argument("--allow-large-fixture", default=os.environ.get("ALLOW_LARGE_FIXTURE", "false"))
parser.add_argument(
"--summary-script",
type=Path,
default=Path("candidate-src/.github/scripts/query-regression-summary.py"),
)
parser.add_argument("--summary-output", type=Path, default=Path("query-regression-summary.md"))
parser.add_argument("--run-url", default=os.environ.get("RUN_URL", ""))
parser.add_argument("--case-name", default=os.environ.get("CASE_NAME", "default case set"))
parser.add_argument("--base-ref", default=os.environ.get("BASE_REF", ""))
parser.add_argument("--candidate-ref", default=os.environ.get("CANDIDATE_REF", ""))
parser.add_argument("--github-output", default=os.environ.get("GITHUB_OUTPUT"))
parser.add_argument("--base-image", default=os.environ.get("BASE_IMAGE", ""))
parser.add_argument("--candidate-image", default=os.environ.get("CANDIDATE_IMAGE", ""))
args = parser.parse_args()
try:
cases = split_cases(args.cases or [os.environ.get("CASE_PATHS", "all")])
except ValueError as err:
print(f"error: {err}", flush=True)
append_github_output(args.github_output, 1)
return 0
preparation_error = None
metadata = {}
try:
metadata = prepare_targets(args)
except Exception as err:
preparation_error = err
reports: list[Path] = []
status = 0
for case in cases:
case_path = resolve_case_path(args.candidate_src, case)
work_dir = args.work_dir / case_slug(case_path)
reports.append(work_dir / "query-regression-report.json")
try:
if preparation_error is not None:
raise preparation_error
case_status = run_case(args, case_path, work_dir)
except Exception as err: # noqa: BLE001 - preserve an aggregate report for the summary step
print(f"error: query regression case {case_path}: {err}", flush=True)
write_failed_report(work_dir, case_path, err)
case_status = 1
report_path = reports[-1]
if (args.base_image or args.candidate_image) and report_path.exists():
report = json.loads(report_path.read_text(encoding="utf-8"))
report["execution_targets"] = metadata
report_path.write_text(json.dumps(report, indent=2) + "\n", encoding="utf-8")
if case_status != 0:
status = case_status or 1
summary_status = write_summary(args, reports)
if summary_status != 0 and status == 0:
status = summary_status
append_step_summary(args.summary_output)
append_github_output(args.github_output, status)
return 0
if __name__ == "__main__":
if len(sys.argv) > 1 and sys.argv[1] == "docker-target":
raise SystemExit(docker_target(sys.argv[2], Path(sys.argv[3]), sys.argv[4:]))
raise SystemExit(main())