feat: 申报赛道推荐助手首版 v1.0.1（match-guide-track-default）

scripts/service/task_service.py

@@ -0,0 +1,686 @@
+"""任务编排层：job_context / emit / finish、鉴权与错误转换。
+
+领域业务在 ``service/match_service.py``（匹配内核）、
+``service/profile_service.py``（画像/赛道/报告）、
+``service/report_service.py``（HTML 简报），由本模块调用；
+多入口（CLI / Action / 对话 / cron）复用同一内核，禁止按入口分叉业务。
+"""
+
+from __future__ import annotations
+
+import asyncio
+import json
+import os
+import uuid
+from typing import Any, 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 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_db_path, get_skill_root
+from db.connection import init_db
+
+
+def _get_task_logger():
+    try:
+        return get_skill_logger()
+    except RuntimeError:
+        setup_skill_logging(SKILL_SLUG, LOG_LOGGER_NAME)
+        return get_skill_logger()
+
+
+def _print_json(payload: dict[str, Any]) -> None:
+    print(json.dumps(payload, ensure_ascii=False))
+
+
+# ---------------------------------------------------------------------------
+# 模板演示入口（保留：满足 POLICY-RPA-003 录屏集成与 CLI run 契约；不承载本技能业务）
+# ---------------------------------------------------------------------------
+
+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_root()
+
+    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:
+    """模板演示入口：本技能主能力请使用 broadcast 等业务命令。"""
+    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 stage=run",
+            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 stage=auth error_code=ENTITLEMENT_DENIED",
+                    task_type,
+                )
+                emit("鉴权失败，已记录诊断信息", type="warn", skill=SKILL_SLUG, stage="auth")
+                finish(
+                    status="failed",
+                    message=reason,
+                    skill=SKILL_SLUG,
+                    error_code="ENTITLEMENT_DENIED",
+                    stage="auth",
+                )
+                print(f"ERROR:ENTITLEMENT_DENIED {reason}")
+                return 1
+
+            log.info("entitlement_ok task_type=%s stage=auth", task_type)
+            log.info("rpa_start stage=demo_prepare task_type=%s", task_type)
+            log.info("task_run_demo_start target_id=%s input_id=%s stage=demo_prepare", target, input_id)
+            rc, video_info = asyncio.run(_run_template_demo(target, input_id))
+            log.info("rpa_done stage=demo_prepare status=ok")
+            log.info(
+                "task_run_demo_done target_id=%s input_id=%s stage=demo_finish 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,
+            )
+
+            log.warning(
+                "task_failed task_type=%s stage=demo_finish error_code=TEMPLATE_STUB",
+                task_type,
+            )
+            finish(
+                status="failed",
+                message="模板演示入口未承载本技能业务",
+                skill=SKILL_SLUG,
+                error_code="TEMPLATE_STUB",
+                **summary_payload,
+            )
+            print("ERROR:TEMPLATE_STUB 这是模板演示入口，请使用 match 命令执行申报赛道匹配。")
+            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")
+            finish(
+                status="failed",
+                message="任务执行异常，详见统一日志",
+                skill=SKILL_SLUG,
+                stage="run",
+            )
+            return 1
+
+
+# ---------------------------------------------------------------------------
+# 基础命令
+# ---------------------------------------------------------------------------
+
+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(
+        {
+            "skill": SKILL_SLUG,
+            "env_path": env_path,
+            "example_path": os.path.abspath(example_path),
+        }
+    )
+    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({"version": SKILL_VERSION, "skill": SKILL_SLUG})
+    return 0
+
+
+def cmd_init_db() -> int:
+    """幂等创建/迁移本地 SQLite 与数据管理元数据（宿主 install/upgrade 可调用）。"""
+    log = _get_task_logger()
+    try:
+        init_db()
+    except Exception as exc:  # noqa: BLE001 — CLI 边界，统一成可机读失败
+        print(
+            json.dumps(
+                {"ok": False, "skill": SKILL_SLUG, "error": str(exc)},
+                ensure_ascii=False,
+            )
+        )
+        return 1
+    _print_json({"ok": True, "skill": SKILL_SLUG, "db_path": get_db_path()})
+    return 0
+
+
+# ---------------------------------------------------------------------------
+# 画像与赛道维护
+# ---------------------------------------------------------------------------
+
+def _parse_json_arg(raw: str, label: str) -> list[dict[str, Any]]:
+    import os
+    import sys
+
+    text = (raw or "").strip()
+    if not text:
+        raise ValueError(f"缺少导入 JSON（{label}）")
+    if text == "-":
+        text = sys.stdin.read().strip()
+    elif text.startswith(("[", "{")):
+        pass
+    elif os.path.isfile(text):
+        with open(text, encoding="utf-8") as f:
+            text = f.read().strip()
+    else:
+        raise ValueError(f"{label} 不是有效文件路径或 JSON：{text[:80]}")
+    try:
+        payload = json.loads(text)
+    except json.JSONDecodeError as exc:
+        raise ValueError(f"导入 JSON 解析失败：{exc}") from exc
+    if isinstance(payload, dict):
+        for key in ("teachers", "tracks", "items"):
+            if isinstance(payload.get(key), list):
+                payload = payload[key]
+                break
+        else:
+            payload = [payload]
+    if not isinstance(payload, list):
+        raise ValueError(f"{label} 应为对象数组")
+    return payload
+
+
+def cmd_add_teacher(
+    *,
+    name: str,
+    department: str = "",
+    title: str = "",
+    tags: str = "",
+    papers: str = "",
+    projects: str = "",
+    sci_q1: Optional[int] = None,
+    core_papers: Optional[int] = None,
+) -> int:
+    log = _get_task_logger()
+    from service.profile_service import upsert_teacher
+
+    with job_context(skill=SKILL_SLUG):
+        log.info("task_start task_type=add_teacher teacher=%s stage=profile", name)
+        emit("开始写入教师画像", skill=SKILL_SLUG, stage="profile")
+        try:
+            ok, reason = check_entitlement(SKILL_SLUG)
+            if not ok:
+                log.warning("entitlement_failed task_type=add_teacher stage=auth")
+                finish(status="failed", message=reason, skill=SKILL_SLUG, error_code="ENTITLEMENT_DENIED", stage="auth")
+                log.error("add_teacher_denied stage=auth")
+                print(f"ERROR:ENTITLEMENT_DENIED {reason}")
+                return 1
+            fields: dict[str, Any] = {"teacher_name": name}
+            for key, value in (("department", department), ("title", title), ("research_tags", tags), ("recent_papers", papers), ("project_history", projects)):
+                if value:
+                    fields[key] = value
+            if sci_q1 is not None:
+                fields["sci_q1_count"] = sci_q1
+            if core_papers is not None:
+                fields["core_paper_count"] = core_papers
+            payload = upsert_teacher(fields)
+            _print_json(payload)
+            finish(status="success", message=f"教师 {name} 画像已{('更新' if payload['action'] == 'updated' else '录入')}", skill=SKILL_SLUG, stage="profile")
+            return 0
+        except ValueError as exc:
+            log.warning("task_failed task_type=add_teacher error_code=TEACHER_INVALID detail=%s", exc)
+            finish(status="failed", message=str(exc), skill=SKILL_SLUG, error_code="TEACHER_INVALID", stage="profile")
+            print(f"ERROR:TEACHER_INVALID {exc}")
+            return 1
+        except JobStopped:
+            raise
+        except Exception:
+            log.exception("task_failed task_type=add_teacher stage=profile")
+            finish(status="failed", message="画像写入异常，详见统一日志", skill=SKILL_SLUG, stage="profile")
+            return 1
+
+
+def cmd_import_teachers(teachers_json: str) -> int:
+    log = _get_task_logger()
+    from service.profile_service import import_teachers
+
+    with job_context(skill=SKILL_SLUG):
+        log.info("task_start task_type=import_teachers stage=profile")
+        emit("开始批量导入教师画像", skill=SKILL_SLUG, stage="profile")
+        try:
+            ok, reason = check_entitlement(SKILL_SLUG)
+            if not ok:
+                log.warning("entitlement_failed task_type=import_teachers stage=auth")
+                finish(status="failed", message=reason, skill=SKILL_SLUG, error_code="ENTITLEMENT_DENIED", stage="auth")
+                print(f"ERROR:ENTITLEMENT_DENIED {reason}")
+                return 1
+            rows = _parse_json_arg(teachers_json, "--teachers-json")
+            payload = import_teachers(rows)
+            _print_json(payload)
+            finish(status="success", message=f"导入完成：新增 {payload['created']}，更新 {payload['updated']}", skill=SKILL_SLUG, stage="profile")
+            return 0
+        except ValueError as exc:
+            log.warning("task_failed task_type=import_teachers error_code=TEACHER_INVALID detail=%s", exc)
+            finish(status="failed", message=str(exc), skill=SKILL_SLUG, error_code="TEACHER_INVALID", stage="profile")
+            print(f"ERROR:TEACHER_INVALID {exc}")
+            return 1
+        except JobStopped:
+            raise
+        except Exception:
+            log.exception("task_failed task_type=import_teachers stage=profile")
+            finish(status="failed", message="画像导入异常，详见统一日志", skill=SKILL_SLUG, stage="profile")
+            return 1
+
+
+def cmd_import_tracks(tracks_json: str) -> int:
+    log = _get_task_logger()
+    from service.profile_service import import_tracks
+
+    with job_context(skill=SKILL_SLUG):
+        log.info("task_start task_type=import_tracks stage=track")
+        emit("开始批量导入指南赛道", skill=SKILL_SLUG, stage="track")
+        try:
+            ok, reason = check_entitlement(SKILL_SLUG)
+            if not ok:
+                log.warning("entitlement_failed task_type=import_tracks stage=auth")
+                finish(status="failed", message=reason, skill=SKILL_SLUG, error_code="ENTITLEMENT_DENIED", stage="auth")
+                print(f"ERROR:ENTITLEMENT_DENIED {reason}")
+                return 1
+            rows = _parse_json_arg(tracks_json, "--tracks-json")
+            payload = import_tracks(rows)
+            _print_json(payload)
+            finish(status="success", message=f"导入完成：新增 {payload['created']}，更新 {payload['updated']}", skill=SKILL_SLUG, stage="track")
+            return 0
+        except ValueError as exc:
+            log.warning("task_failed task_type=import_tracks error_code=TRACK_INVALID detail=%s", exc)
+            finish(status="failed", message=str(exc), skill=SKILL_SLUG, error_code="TRACK_INVALID", stage="track")
+            print(f"ERROR:TRACK_INVALID {exc}")
+            return 1
+        except JobStopped:
+            raise
+        except Exception:
+            log.exception("task_failed task_type=import_tracks stage=track")
+            finish(status="failed", message="赛道导入异常，详见统一日志", skill=SKILL_SLUG, stage="track")
+            return 1
+
+
+def cmd_add_track(
+    *,
+    year: int,
+    track_name: str,
+    program: str = "",
+    agency: str = "",
+    tags: str = "",
+    priority: str = "",
+    min_title: str = "",
+    min_sci_q1: Optional[int] = None,
+    quota: Optional[int] = None,
+    source: str = "",
+) -> int:
+    log = _get_task_logger()
+    from service.profile_service import upsert_track
+
+    with job_context(skill=SKILL_SLUG):
+        log.info("task_start task_type=add_track year=%s track=%s stage=track", year, track_name)
+        emit("开始写入指南赛道", skill=SKILL_SLUG, stage="track")
+        try:
+            ok, reason = check_entitlement(SKILL_SLUG)
+            if not ok:
+                log.warning("entitlement_failed task_type=add_track stage=auth")
+                finish(status="failed", message=reason, skill=SKILL_SLUG, error_code="ENTITLEMENT_DENIED", stage="auth")
+                print(f"ERROR:ENTITLEMENT_DENIED {reason}")
+                return 1
+            fields: dict[str, Any] = {"year": year, "track_name": track_name}
+            for key, value in (("agency", agency), ("program_name", program), ("track_tags", tags), ("priority_keywords", priority), ("min_title", min_title), ("source_doc", source)):
+                if value:
+                    fields[key] = value
+            if min_sci_q1 is not None:
+                fields["min_sci_q1"] = min_sci_q1
+            if quota is not None:
+                fields["quota"] = quota
+            payload = upsert_track(fields)
+            _print_json(payload)
+            finish(status="success", message=f"赛道 {track_name} 已{('更新' if payload['action'] == 'updated' else '录入')}", skill=SKILL_SLUG, stage="track")
+            return 0
+        except ValueError as exc:
+            log.warning("task_failed task_type=add_track error_code=TRACK_INVALID detail=%s", exc)
+            finish(status="failed", message=str(exc), skill=SKILL_SLUG, error_code="TRACK_INVALID", stage="track")
+            print(f"ERROR:TRACK_INVALID {exc}")
+            return 1
+        except JobStopped:
+            raise
+        except Exception:
+            log.exception("task_failed task_type=add_track stage=track")
+            finish(status="failed", message="赛道写入异常，详见统一日志", skill=SKILL_SLUG, stage="track")
+            return 1
+
+
+def cmd_list_teachers(department: str = "") -> int:
+    log = _get_task_logger()
+    from service.profile_service import list_teachers
+
+    with job_context(skill=SKILL_SLUG):
+        log.info("task_start task_type=list_teachers department=%s", department)
+        try:
+            teachers = list_teachers(department=department)
+            _print_json({"ok": True, "count": len(teachers), "teachers": teachers})
+            return 0
+        except Exception:
+            log.exception("task_failed task_type=list_teachers")
+            print("ERROR:QUERY_FAILED 教师画像查询异常，详见统一日志")
+            return 1
+
+
+def cmd_list_tracks(year: Optional[int] = None) -> int:
+    log = _get_task_logger()
+    from service.profile_service import list_tracks
+
+    with job_context(skill=SKILL_SLUG):
+        log.info("task_start task_type=list_tracks year=%s", year)
+        try:
+            tracks = list_tracks(year=year)
+            _print_json({"ok": True, "count": len(tracks), "tracks": tracks})
+            return 0
+        except Exception:
+            log.exception("task_failed task_type=list_tracks")
+            print("ERROR:QUERY_FAILED 赛道查询异常，详见统一日志")
+            return 1
+
+
+# ---------------------------------------------------------------------------
+# 匹配主命令
+# ---------------------------------------------------------------------------
+
+def cmd_match(*, teacher: str = "", year: Optional[int] = None) -> int:
+    """申报赛道匹配（同步）：缺省匹配全部教师；可指定教师与指南年度。"""
+    log = _get_task_logger()
+    from service.match_service import load_teachers, load_tracks, run_match
+
+    with job_context(skill=SKILL_SLUG):
+        log.info("task_start task_type=match teacher=%s year=%s stage=match", teacher, year)
+        emit("开始申报赛道匹配", skill=SKILL_SLUG, stage="match")
+        try:
+            ok, reason = check_entitlement(SKILL_SLUG)
+            if not ok:
+                log.warning("entitlement_failed task_type=match stage=auth")
+                finish(status="failed", message=reason, skill=SKILL_SLUG, error_code="ENTITLEMENT_DENIED", stage="auth")
+                print(f"ERROR:ENTITLEMENT_DENIED {reason}")
+                return 1
+
+            teachers = load_teachers(teacher_name=teacher)
+            tracks = load_tracks(year=year)
+            if not teachers:
+                message = "没有可匹配的教师画像：请先录入教师（add-teacher / import-teachers）"
+                log.warning("task_failed task_type=match error_code=TEACHER_NOT_FOUND stage=match")
+                finish(status="failed", message=message, skill=SKILL_SLUG, error_code="TEACHER_NOT_FOUND", stage="match")
+                print(f"ERROR:TEACHER_NOT_FOUND {message}")
+                return 1
+            if not tracks:
+                message = "指南赛道库为空：请先录入赛道（add-track / import-tracks）"
+                log.warning("task_failed task_type=match error_code=TRACK_EMPTY stage=match")
+                finish(status="failed", message=message, skill=SKILL_SLUG, error_code="TRACK_EMPTY", stage="match")
+                print(f"ERROR:TRACK_EMPTY {message}")
+                return 1
+
+            season = str(year or tracks[0].get("year") or "")
+            result = run_match(teachers, tracks, season)
+            payload = {k: v for k, v in result.items() if k != "reports"}
+            payload["reports_brief"] = [
+                {
+                    "report_id": r["report_id"],
+                    "teacher_name": r["teacher_name"],
+                    "tier": (r["top3"][0]["tier"] if r["top3"] else "无可推荐"),
+                    "top_track": (r["top3"][0]["track"] if r["top3"] else ""),
+                    "match_pct": (r["top3"][0]["match_pct"] if r["top3"] else None),
+                    "report_file": r["report_file"],
+                }
+                for r in result["reports"]
+            ]
+            _print_json(payload)
+            finish(
+                status="success",
+                message=f"匹配完成 {result['count']} 名教师，建议书已生成",
+                skill=SKILL_SLUG,
+                stage="match",
+                batch_no=result["batch_no"],
+            )
+            return 0
+        except JobStopped:
+            raise
+        except ValueError as exc:
+            log.warning("task_failed task_type=match error_code=PROFILE_INCOMPLETE detail=%s", exc)
+            finish(status="failed", message=str(exc), skill=SKILL_SLUG, error_code="PROFILE_INCOMPLETE", stage="match")
+            print(f"ERROR:PROFILE_INCOMPLETE {exc}")
+            return 1
+        except Exception:
+            log.exception("task_failed task_type=match stage=match")
+            emit("匹配失败，已记录诊断信息", type="warn", skill=SKILL_SLUG, stage="match")
+            finish(status="failed", message="匹配执行异常，详见统一日志", skill=SKILL_SLUG, stage="match")
+            return 1
+
+
+def cmd_match_batch_input() -> int:
+    """批量匹配（async Action 入口）：匹配 input/ 目录中的教师画像 JSON 与库内赛道。"""
+    log = _get_task_logger()
+    from service.match_service import load_tracks, run_match
+    from util.runtime_paths import get_input_dir
+
+    with job_context(skill=SKILL_SLUG):
+        log.info("task_start task_type=match_batch stage=batch")
+        emit("开始批量赛道匹配", skill=SKILL_SLUG, stage="batch")
+        try:
+            ok, reason = check_entitlement(SKILL_SLUG)
+            if not ok:
+                log.warning("entitlement_failed task_type=match_batch stage=auth")
+                finish(status="failed", message=reason, skill=SKILL_SLUG, error_code="ENTITLEMENT_DENIED", stage="auth")
+                print(f"ERROR:ENTITLEMENT_DENIED {reason}")
+                return 1
+
+            input_dir = get_input_dir()
+            files = sorted(
+                os.path.join(input_dir, name)
+                for name in os.listdir(input_dir)
+                if name.lower().endswith(".json")
+            )
+            if not files:
+                message = f"input 目录没有教师画像 JSON：{input_dir}"
+                log.warning("task_failed task_type=match_batch error_code=TEACHER_NOT_FOUND stage=batch")
+                finish(status="failed", message=message, skill=SKILL_SLUG, error_code="TEACHER_NOT_FOUND", stage="batch")
+                print(f"ERROR:TEACHER_NOT_FOUND {message}")
+                return 1
+
+            teachers = []
+            for path in files:
+                with open(path, encoding="utf-8") as f:
+                    payload = json.load(f)
+                if isinstance(payload, dict):
+                    payload = payload.get("teachers") or [payload]
+                teachers.extend(payload)
+
+            tracks = load_tracks()
+            if not tracks:
+                message = "指南赛道库为空：请先录入赛道（add-track / import-tracks）"
+                log.warning("task_failed task_type=match_batch error_code=TRACK_EMPTY stage=batch")
+                finish(status="failed", message=message, skill=SKILL_SLUG, error_code="TRACK_EMPTY", stage="batch")
+                print(f"ERROR:TRACK_EMPTY {message}")
+                return 1
+
+            season = str(tracks[0].get("year") or "")
+            result = run_match(teachers, tracks, season)
+            for index, report in enumerate(result["reports"], start=1):
+                top = (report.get("top3") or [{}])[0]
+                emit(
+                    f"[{index}/{len(result['reports'])}] {report['teacher_name']}："
+                    f"{(top.get('tier') or '无可推荐')}{(' · ' + top.get('track', '')) if top.get('track') else ''}",
+                    skill=SKILL_SLUG,
+                    stage="batch",
+                )
+            _print_json(
+                {
+                    "ok": True,
+                    "batch_no": result["batch_no"],
+                    "count": result["count"],
+                    "tier_counts": result["tier_counts"],
+                    "brief_file": result["brief_file"],
+                }
+            )
+            finish(status="success", message=f"批量匹配完成 {result['count']} 名教师", skill=SKILL_SLUG, stage="batch", batch_no=result["batch_no"])
+            return 0
+        except JobStopped:
+            raise
+        except Exception:
+            log.exception("task_failed task_type=match_batch stage=batch")
+            emit("批量匹配失败，已记录诊断信息", type="warn", skill=SKILL_SLUG, stage="batch")
+            finish(status="failed", message="批量匹配执行异常，详见统一日志", skill=SKILL_SLUG, stage="batch")
+            return 1
+
+
+# ---------------------------------------------------------------------------
+# 报告与统计
+# ---------------------------------------------------------------------------
+
+def cmd_list_reports(limit: int = 20) -> int:
+    log = _get_task_logger()
+    from service.profile_service import list_reports
+
+    with job_context(skill=SKILL_SLUG):
+        log.info("task_start task_type=list_reports limit=%s", limit)
+        try:
+            reports = list_reports(limit=limit)
+            _print_json({"ok": True, "count": len(reports), "reports": reports})
+            return 0
+        except Exception:
+            log.exception("task_failed task_type=list_reports")
+            print("ERROR:QUERY_FAILED 推荐报告查询异常，详见统一日志")
+            return 1
+
+
+def cmd_show_report(report_id: int) -> int:
+    log = _get_task_logger()
+    from service.profile_service import get_report
+
+    with job_context(skill=SKILL_SLUG):
+        log.info("task_start task_type=show_report report_id=%s", report_id)
+        try:
+            report = get_report(int(report_id))
+            _print_json({"ok": True, "report": report})
+            return 0
+        except ValueError as exc:
+            log.warning("task_failed task_type=show_report error_code=REPORT_NOT_FOUND detail=%s", exc)
+            print(f"ERROR:REPORT_NOT_FOUND {exc}")
+            return 1
+        except Exception:
+            log.exception("task_failed task_type=show_report")
+            print("ERROR:QUERY_FAILED 推荐报告查询异常，详见统一日志")
+            return 1
+
+
+def cmd_render_html(report_id: Optional[int] = None) -> int:
+    log = _get_task_logger()
+    from service.report_service import build_report_for_report_id
+    from service.profile_service import list_reports
+
+    with job_context(skill=SKILL_SLUG):
+        log.info("task_start task_type=render_html report_id=%s stage=render", report_id)
+        try:
+            if report_id:
+                targets = [int(report_id)]
+            else:
+                targets = [r["id"] for r in list_reports(limit=10)]
+            if not targets:
+                log.warning("task_failed task_type=render_html error_code=REPORT_NOT_FOUND stage=render")
+                finish(status="failed", message="暂无可重建的推荐报告", skill=SKILL_SLUG, error_code="REPORT_NOT_FOUND", stage="render")
+                print("ERROR:REPORT_NOT_FOUND 暂无可重建的推荐报告")
+                return 1
+            written = [{"report_id": rid, "path": build_report_for_report_id(rid)} for rid in targets]
+            _print_json({"ok": True, "count": len(written), "reports": written})
+            finish(status="success", message=f"已重建 {len(written)} 份建议书", skill=SKILL_SLUG, stage="render")
+            return 0
+        except JobStopped:
+            raise
+        except ValueError as exc:
+            log.warning("task_failed task_type=render_html error_code=REPORT_NOT_FOUND detail=%s", exc)
+            finish(status="failed", message=str(exc), skill=SKILL_SLUG, error_code="REPORT_NOT_FOUND", stage="render")
+            print(f"ERROR:REPORT_NOT_FOUND {exc}")
+            return 1
+        except Exception:
+            log.exception("task_failed task_type=render_html stage=render")
+            finish(status="failed", message="建议书重建异常，详见统一日志", skill=SKILL_SLUG, stage="render")
+            return 1
+
+
+def cmd_stats() -> int:
+    log = _get_task_logger()
+    from service.profile_service import stats
+
+    with job_context(skill=SKILL_SLUG):
+        log.info("task_start task_type=stats")
+        try:
+            _print_json(stats())
+            return 0
+        except Exception:
+            log.exception("task_failed task_type=stats")
+            print("ERROR:QUERY_FAILED 统计查询异常，详见统一日志")
+            return 1