216 lines
7.4 KiB
Python
216 lines
7.4 KiB
Python
"""任务编排模板。
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编排层：job_context / emit / checkpoint / finish、鉴权与错误转换。
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过程看统一文件日志；进度/终态看任务中心；业务结果写入业务表（有才建）。
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领域业务请放在 ``service/<domain>_service.py``，由本模块调用；多入口（CLI/Action/cron）复用同一内核。
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复制后在 cmd_run（或 cmd_sync_*）中接线到真实 domain service，勿按 toolbar/cron/agent 分叉业务。
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"""
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from __future__ import annotations
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import asyncio
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import json
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import os
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import uuid
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from typing import Any, Optional
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from jiangchang_skill_core import collect_runtime_diagnostics, config, format_runtime_health_lines
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from jiangchang_skill_core.activity import JobStopped, emit, finish, job_context
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from jiangchang_skill_core.rpa.video_session import RpaVideoSession
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from service.entitlement_service import check_entitlement
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from service.task_run_support import (
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_print_video_summary,
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build_video_info,
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merge_video_into_result_summary,
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)
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from util.constants import LOG_LOGGER_NAME, PLATFORM_KIT_MIN_VERSION, SKILL_SLUG, SKILL_VERSION
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from util.logging_config import get_skill_logger, setup_skill_logging
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from util.runtime_paths import get_db_path, get_skill_data_dir, get_skill_root
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from db.connection import init_db
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def _get_task_logger():
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try:
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return get_skill_logger()
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except RuntimeError:
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setup_skill_logging(SKILL_SLUG, LOG_LOGGER_NAME)
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return get_skill_logger()
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async def _run_template_demo(target: Optional[str], input_id: Optional[str]) -> tuple[int, dict[str, Any]]:
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"""最小 RpaVideoSession 示范：不启动浏览器、不执行业务，仅演示录屏包裹范式。"""
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batch_id = uuid.uuid4().hex[:12]
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data_dir = get_skill_data_dir()
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async with RpaVideoSession(
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skill_slug=SKILL_SLUG,
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skill_data_dir=data_dir,
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batch_id=batch_id,
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title="开始执行示例任务",
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closing_title="示例任务执行完成",
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) as video:
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video.add_step("准备执行示例任务")
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if target:
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video.add_step(f"接收目标参数：{target}")
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if input_id:
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video.add_step(f"接收输入标识：{input_id}")
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video.add_step("示例任务执行完成")
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video_summary = video.summary()
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video_info = build_video_info(video_summary, {}, {})
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return 1, video_info
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def cmd_run(target: Optional[str] = None, input_id: Optional[str] = None) -> int:
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"""通用任务执行入口模板。复制后请实现真实业务逻辑。"""
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log = _get_task_logger()
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task_type = "demo"
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with job_context(skill=SKILL_SLUG):
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log.info(
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"task_start task_type=%s target_id=%s input_id=%s stage=run",
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task_type,
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target,
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input_id,
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)
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emit("开始处理任务", skill=SKILL_SLUG, stage="run")
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try:
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ok, reason = check_entitlement(SKILL_SLUG)
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if not ok:
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log.warning(
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"entitlement_failed task_type=%s stage=auth error_code=ENTITLEMENT_DENIED",
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task_type,
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)
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emit("鉴权失败，已记录诊断信息", type="warn", skill=SKILL_SLUG, stage="auth")
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finish(
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status="failed",
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message=reason,
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skill=SKILL_SLUG,
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error_code="ENTITLEMENT_DENIED",
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stage="auth",
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)
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print(f"ERROR:ENTITLEMENT_DENIED {reason}")
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return 1
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log.info("entitlement_ok task_type=%s stage=auth", task_type)
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log.info("rpa_start stage=demo_prepare task_type=%s", task_type)
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log.info("task_run_demo_start target_id=%s input_id=%s stage=demo_prepare", target, input_id)
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rc, video_info = asyncio.run(_run_template_demo(target, input_id))
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log.info("rpa_done stage=demo_prepare status=ok")
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log.info(
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"task_run_demo_done target_id=%s input_id=%s stage=demo_finish status=failed",
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target,
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input_id,
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)
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_print_video_summary(video_info)
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summary_payload = merge_video_into_result_summary(
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{
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"template_demo": True,
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"target": target,
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"input_id": input_id,
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},
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video_info,
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)
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log.warning(
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"task_failed task_type=%s stage=demo_finish error_code=TEMPLATE_STUB",
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task_type,
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)
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finish(
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status="failed",
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message="模板仓库未实现真实业务",
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skill=SKILL_SLUG,
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error_code="TEMPLATE_STUB",
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**summary_payload,
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)
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print("ERROR:TEMPLATE_STUB 这是模板仓库，请复制后在 scripts/service/task_service.py 中实现 cmd_run 的真实业务逻辑。")
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return rc
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except JobStopped:
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raise
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except Exception:
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log.exception(
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"task_failed task_type=%s target_id=%s input_id=%s",
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task_type,
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target,
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input_id,
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)
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emit("任务失败，已记录诊断信息", type="warn", skill=SKILL_SLUG, stage="run")
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finish(
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status="failed",
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message="任务执行异常，详见统一日志",
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skill=SKILL_SLUG,
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stage="run",
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)
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return 1
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def cmd_config_path() -> int:
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example_path = os.path.join(get_skill_root(), ".env.example")
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env_path = config.get_env_file_path() or ""
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print(
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json.dumps(
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{
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"skill": SKILL_SLUG,
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"env_path": env_path,
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"example_path": os.path.abspath(example_path),
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},
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ensure_ascii=False,
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)
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)
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return 0
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def cmd_health() -> int:
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runtime = collect_runtime_diagnostics(
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skill_slug=SKILL_SLUG,
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platform_kit_min_version=PLATFORM_KIT_MIN_VERSION,
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skill_root=get_skill_root(),
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)
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example_path = os.path.join(get_skill_root(), ".env.example")
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env_path = config.get_env_file_path() or ""
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env_exists = bool(env_path and os.path.isfile(env_path))
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health_status = "failed" if runtime.has_fatal_issues else "ok"
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lines = [
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f"{SKILL_SLUG} health: {health_status}",
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*format_runtime_health_lines(runtime),
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f"env_path: {env_path}",
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f"env_exists: {env_exists}",
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f"example_path: {os.path.abspath(example_path)}",
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]
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for line in lines:
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print(line)
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return 1 if runtime.has_fatal_issues else 0
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def cmd_version() -> int:
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print(json.dumps({"version": SKILL_VERSION, "skill": SKILL_SLUG}, ensure_ascii=False))
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return 0
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def cmd_init_db() -> int:
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"""幂等创建/迁移本地 SQLite 与数据管理元数据（宿主 install/upgrade 可调用）。"""
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try:
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init_db()
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except Exception as exc: # noqa: BLE001 — CLI 边界，统一成可机读失败
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print(
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json.dumps(
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{"ok": False, "skill": SKILL_SLUG, "error": str(exc)},
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ensure_ascii=False,
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)
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)
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return 1
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print(
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json.dumps(
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{
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"ok": True,
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"skill": SKILL_SLUG,
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"db_path": get_db_path(),
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},
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ensure_ascii=False,
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)
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)
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return 0
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