"""任务编排、日志查询模板。

编排层：job_context / emit / checkpoint / finish、鉴权、任务日志与错误转换。
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。
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。
"""

from __future__ import annotations

import asyncio
import json
import os
import uuid
from typing import Any, Dict, Optional

from jiangchang_skill_core import collect_runtime_diagnostics, config, format_runtime_health_lines
from jiangchang_skill_core.activity import JobStopped, emit, finish, job_context

from db import task_logs_repository as tlr
from jiangchang_skill_core.rpa.video_session import RpaVideoSession
from service.entitlement_service import check_entitlement
from service.task_run_support import (
    _print_video_summary,
    build_video_info,
    merge_video_into_result_summary,
)
from util.constants import LOG_LOGGER_NAME, PLATFORM_KIT_MIN_VERSION, SKILL_SLUG, SKILL_VERSION
from util.logging_config import get_skill_logger, setup_skill_logging
from util.runtime_paths import get_skill_data_dir, get_skill_root
from util.timeutil import unix_to_iso


def _get_task_logger():
    try:
        return get_skill_logger()
    except RuntimeError:
        setup_skill_logging(SKILL_SLUG, LOG_LOGGER_NAME)
        return get_skill_logger()


async def _run_template_demo(target: Optional[str], input_id: Optional[str]) -> tuple[int, dict[str, Any]]:
    """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。"""
    batch_id = uuid.uuid4().hex[:12]
    data_dir = get_skill_data_dir()

    async with RpaVideoSession(
        skill_slug=SKILL_SLUG,
        skill_data_dir=data_dir,
        batch_id=batch_id,
        title="开始执行示例任务",
        closing_title="示例任务执行完成",
    ) as video:
        video.add_step("准备执行示例任务")
        if target:
            video.add_step(f"接收目标参数：{target}")
        if input_id:
            video.add_step(f"接收输入标识：{input_id}")
        video.add_step("示例任务执行完成")

    video_summary = video.summary()
    video_info = build_video_info(video_summary, {}, {})
    return 1, video_info


def cmd_run(target: Optional[str] = None, input_id: Optional[str] = None) -> int:
    """通用任务执行入口模板。复制后请实现真实业务逻辑。"""
    log = _get_task_logger()
    task_type = "demo"

    with job_context(skill=SKILL_SLUG):
        log.info(
            "task_start task_type=%s target_id=%s input_id=%s",
            task_type,
            target,
            input_id,
        )
        emit("开始处理任务", skill=SKILL_SLUG, stage="run")
        try:
            ok, reason = check_entitlement(SKILL_SLUG)
            if not ok:
                log.warning("entitlement_failed task_type=%s reason=%s", task_type, reason)
                emit("鉴权失败，已记录诊断信息", type="warn", skill=SKILL_SLUG, stage="auth")
                tlr.save_task_log(
                    task_type=task_type,
                    target_id=target,
                    input_id=input_id,
                    input_title="模板示例任务",
                    status="failed",
                    error_msg=reason,
                    result_summary=json.dumps({"stage": "auth", "error": reason}, ensure_ascii=False),
                )
                log.info(
                    "task_log_saved task_type=%s target_id=%s input_id=%s stage=auth status=failed",
                    task_type,
                    target,
                    input_id,
                )
                finish(
                    status="failed",
                    message=reason,
                    skill=SKILL_SLUG,
                    error_code="ENTITLEMENT_DENIED",
                    stage="auth",
                )
                print(f"❌ {reason}")
                return 1

            log.info("task_run_demo_start target_id=%s input_id=%s", target, input_id)
            rc, video_info = asyncio.run(_run_template_demo(target, input_id))
            log.info("task_run_demo_done target_id=%s input_id=%s status=failed", target, input_id)
            _print_video_summary(video_info)

            summary_payload = merge_video_into_result_summary(
                {
                    "template_demo": True,
                    "target": target,
                    "input_id": input_id,
                },
                video_info,
            )
            tlr.save_task_log(
                task_type=task_type,
                target_id=target,
                input_id=input_id,
                input_title="模板示例任务",
                status="failed",
                error_msg="模板仓库未实现真实业务",
                result_summary=json.dumps(summary_payload, ensure_ascii=False),
            )
            log.info(
                "task_log_saved task_type=%s target_id=%s input_id=%s status=failed",
                task_type,
                target,
                input_id,
            )

            finish(
                status="failed",
                message="模板仓库未实现真实业务",
                skill=SKILL_SLUG,
                template_demo=True,
                target=target,
                input_id=input_id,
            )
            print("❌ 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。")
            return rc
        except JobStopped:
            raise
        except Exception:
            log.exception(
                "task_failed task_type=%s target_id=%s input_id=%s",
                task_type,
                target,
                input_id,
            )
            emit("任务失败，已记录诊断信息", type="warn", skill=SKILL_SLUG, stage="run")
            try:
                tlr.save_task_log(
                    task_type=task_type,
                    target_id=target,
                    input_id=input_id,
                    input_title="模板示例任务",
                    status="failed",
                    error_msg="任务执行异常，详见统一日志",
                    result_summary=json.dumps(
                        {"stage": "run", "error": "unexpected_exception"},
                        ensure_ascii=False,
                    ),
                )
                log.info(
                    "task_log_saved task_type=%s target_id=%s input_id=%s stage=run status=failed",
                    task_type,
                    target,
                    input_id,
                )
            except Exception:
                log.exception(
                    "task_log_save_failed task_type=%s target_id=%s input_id=%s",
                    task_type,
                    target,
                    input_id,
                )
            finish(
                status="failed",
                message="任务执行异常，详见统一日志",
                skill=SKILL_SLUG,
                stage="run",
            )
            return 1


def cmd_logs(
    limit: int = 10,
    status: Optional[str] = None,
    task_type: Optional[str] = None,
    target_id: Optional[str] = None,
) -> int:
    if limit <= 0:
        limit = 10
    rows = tlr.list_task_logs(limit, status, task_type, target_id)
    if not rows:
        print("暂无任务日志")
        return 0

    sep_line = "_" * 39
    for idx, r in enumerate(rows):
        rid, ttype, tid, iid, ititle, st, err, rsum, cat, uat = r
        print(f"id：{rid}")
        print(f"task_type：{ttype or ''}")
        print(f"target_id：{tid or ''}")
        print(f"input_id：{iid or ''}")
        print(f"input_title：{ititle or ''}")
        print(f"status：{st or ''}")
        print(f"error_msg：{err or ''}")
        print(f"result_summary：{rsum or ''}")
        print(f"created_at：{unix_to_iso(cat) or str(cat or '')}")
        print(f"updated_at：{unix_to_iso(uat) or str(uat or '')}")
        if idx != len(rows) - 1:
            print(sep_line)
            print()
    return 0


def cmd_log_get(log_id: str) -> int:
    if not str(log_id).isdigit():
        print("❌ log_id 必须是数字")
        return 1
    row = tlr.get_task_log_by_id(int(log_id))
    if not row:
        print("❌ 没有这条任务日志")
        return 1
    rid, ttype, tid, iid, ititle, st, err, rsum, cat, uat = row
    print(
        json.dumps(
            {
                "id": int(rid),
                "task_type": ttype,
                "target_id": tid,
                "input_id": iid,
                "input_title": ititle,
                "status": st,
                "error_msg": err,
                "result_summary": rsum,
                "created_at": unix_to_iso(cat),
                "updated_at": unix_to_iso(uat),
            },
            ensure_ascii=False,
        )
    )
    return 0


def cmd_config_path() -> int:
    example_path = os.path.join(get_skill_root(), ".env.example")
    env_path = config.get_env_file_path() or ""
    print(
        json.dumps(
            {
                "skill": SKILL_SLUG,
                "env_path": env_path,
                "example_path": os.path.abspath(example_path),
            },
            ensure_ascii=False,
        )
    )
    return 0


def cmd_health() -> int:
    runtime = collect_runtime_diagnostics(
        skill_slug=SKILL_SLUG,
        platform_kit_min_version=PLATFORM_KIT_MIN_VERSION,
        skill_root=get_skill_root(),
    )
    example_path = os.path.join(get_skill_root(), ".env.example")
    env_path = config.get_env_file_path() or ""
    env_exists = bool(env_path and os.path.isfile(env_path))

    health_status = "failed" if runtime.has_fatal_issues else "ok"
    lines = [
        f"{SKILL_SLUG} health: {health_status}",
        *format_runtime_health_lines(runtime),
        f"env_path: {env_path}",
        f"env_exists: {env_exists}",
        f"example_path: {os.path.abspath(example_path)}",
    ]
    for line in lines:
        print(line)
    return 1 if runtime.has_fatal_issues else 0


def cmd_version() -> int:
    print(json.dumps({"version": SKILL_VERSION, "skill": SKILL_SLUG}, ensure_ascii=False))
    return 0