chore: auto release commit (2026-09-15 00:32:44)

.env.example

@@ -67,3 +67,22 @@ LLM_API_BASE_URL=
 # LLM API token（生产由宿主注入；本地留空）
 LLM_API_TOKEN=
 
+# ----- v1.1.18：日志落文件 -----
+# 日志文件路径（默认 {data_dir}/logs/alert-contract-expiring-hr.log）；留空 = 仅 stderr
+LOG_FILE=
+# 单文件最大字节数（默认 5MB）
+LOG_MAX_BYTES=
+# 滚动备份保留份数（默认 5）
+LOG_BACKUP_COUNT=
+
+# ----- v1.1.18：用户主动输入目录 -----
+# 用户主动投放目录（默认 {data_dir}/input）
+# 子目录约定：
+#   input/contracts/*.csv  → import-input 自动 upsert 到 contracts 表
+#   input/materials/{contract_id}__{filename}.{pdf|docx|doc} → 自动入 materials_content
+INPUT_DIR=
+
+# ----- v1.1.18：材料下载队列 -----
+# 失败最大重试次数（默认 3）
+DOWNLOAD_QUEUE_MAX_ATTEMPTS=
+

CHANGELOG.md

@@ -2,6 +2,17 @@
 
 本文件对应技能市场 **「更新日志」** Tab。
 
+## 1.1.18
+
+- **一键式"运维 + 材料管理"全打通**
+  - 新增 `show-config` / `logs-list` 两个 sync Action：UI 一键查看 .env 配置（敏感字段自动脱敏）与运行日志末尾 200 行
+  - 新增 `download-materials` async Action：UI 一键批量下载续聘材料包（pending 队列 → 浏览器抓取 → 落库 → 标记 success/failed）
+  - 新增 `import-input` CLI：扫描 `data/input/{contracts,materials}/` 自动入库，HR API 拿不到时用户可直接投放 CSV/PDF/Word
+- **材料下载队列（download_tasks）**：新建表跟踪每个合同的材料抓取状态（pending/running/success/failed），失败自动重试最多 3 次
+- **日志落文件**：本地降级路径新增 `RotatingFileHandler`（默认 5MB × 5 份），`LOG_FILE` / `LOG_MAX_BYTES` / `LOG_BACKUP_COUNT` 可覆盖
+- 新增文件：`scripts/service/importer.py` / `scripts/service/config_viewer.py` / `scripts/service/logs_viewer.py`
+- 现有 31 个测试全部保留；新增 17 个测试（合计 48/48）
+
 ## 1.1.17
 
 - 补齐数据管理的“立即同步合同台账”工具栏入口，调用 SmartCampus 平台采集能力。

SKILL.md

@@ -1,7 +1,7 @@
 ---
 name: 合同到期智能预警与续聘辅助
 description: "当用户说要扫描即将到期的合同、查 90/60/30 天预警名单、给某位教师生成续聘任务书、下发单位版续聘清单、从 SmartCampus HR 平台抓合同数据、解析续聘材料 PDF/Word、查看本月合同到期人员清单时，加载本技能。支持定时扫描（每日凌晨）+ 数据管理 + Agent 三入口，覆盖合同到期智能预警与续聘辅助全流程。"
-version: 1.1.17
+version: 1.1.18
 author: 深圳匠厂科技有限公司
 metadata:
   openclaw:
@@ -61,6 +61,10 @@ allowed-tools:
 | 在浏览器中打开续聘任务书 | `run_skill_action` → `render-html` | 否（sync） |
 | 从 SmartCampus 平台抓合同 + 材料 | `run_skill_action` → `collect-from-platform`（首次需用户手工登录保存 profile） | 否（sync） |
 | 解析已下载材料 PDF/Word | `run_skill_action` → `parse-materials`（可选 `--contract-id`） | 否（sync） |
+| 查看运行时配置（脱敏） | `run_skill_action` → `show-config` | 否（sync） |
+| 查看运行日志末尾 N 行 | `run_skill_action` → `logs-list`（默认 tail=200、level=INFO） | 否（sync） |
+| 批量下载材料包（队列） | `run_skill_action` → `download-materials`（输入：itemIds / pickCount） | 是（async） |
+| 扫描输入目录并入库 CSV/材料 | `run_skill_action` → `import-input` | 是（async） |
 
 ## 共享 Python（必读）
 

assets/actions.json

@@ -129,6 +129,72 @@
         "command": "render-html",
         "args": ["--task-id", "{form.task_id}"]
       }
+    },
+    {
+      "id": "show-config",
+      "label": "查看运行时配置",
+      "description": "展示 .env 中已设置的全部非空配置项；含 TOKEN/SECRET/KEY/PASSWORD 的字段自动脱敏。",
+      "placements": ["skill-detail", "agent"],
+      "executionProfile": "sync",
+      "entrypoint": {
+        "type": "cli",
+        "command": "show-config",
+        "args": []
+      }
+    },
+    {
+      "id": "logs-list",
+      "label": "查看运行日志",
+      "description": "读取日志文件末尾 N 行（默认 200 行），按 INFO/WARNING/ERROR 等级过滤；日志文件不存在时返回 exists=false。",
+      "placements": ["skill-detail", "agent"],
+      "executionProfile": "sync",
+      "entrypoint": {
+        "type": "cli",
+        "command": "logs-list",
+        "args": ["--tail", "200", "--level", "INFO"]
+      }
+    },
+    {
+      "id": "download-materials",
+      "label": "批量下载材料包",
+      "description": "从合同台账的 download_tasks 队列领取 N 条 pending 任务，启动浏览器从 SmartCampus HR 平台下载续聘材料包（pdf/docx）。",
+      "placements": ["toolbar", "batch", "cron", "agent"],
+      "executionProfile": "async",
+      "interaction": "form",
+      "bind": {
+        "tables": ["download_tasks"],
+        "selectionMode": "optional",
+        "labelColumn": "contract_id",
+        "inputMapping": {"itemIds": "$selection.ids"}
+      },
+      "confirmation": {
+        "message": "将启动浏览器下载续聘材料包（仅 pending 会执行），是否继续？"
+      },
+      "entrypoint": {
+        "type": "cli",
+        "command": "download-materials",
+        "args": ["--ids", "{form.itemIds}", "--pick", "{form.pickCount}"]
+      },
+      "inputSchema": {
+        "type": "object",
+        "required": ["itemIds", "pickCount"],
+        "properties": {
+          "itemIds": {"type": "string", "title": "队列编号列表", "readOnly": true},
+          "pickCount": {"type": "number", "title": "领取数量", "default": 5, "minimum": 1, "maximum": 50}
+        }
+      }
+    },
+    {
+      "id": "import-input",
+      "label": "扫描输入目录并入库",
+      "description": "主动扫描 data/input/contracts/*.csv 入库合同，data/input/materials/{contract_id}__*.* 入库材料（自动入库到 materials_content）。",
+      "placements": ["skill-detail", "agent", "cron"],
+      "executionProfile": "async",
+      "entrypoint": {
+        "type": "cli",
+        "command": "import-input",
+        "args": []
+      }
     }
   ]
 }

scripts/cli/app.py

@@ -279,6 +279,72 @@ def cmd_parse_materials(args: argparse.Namespace) -> int:
         conn.close()
 
 
+def cmd_import_input(_args: argparse.Namespace) -> int:
+    """扫描 data/input/{contracts,materials}/ 自动入库。
+
+    约定：
+      input/contracts/*.csv         → contracts 表 upsert
+      input/materials/{cid}__{f}.pdf → materials_content (parse_method='pending')
+    """
+    from service.importer import import_input_dir
+
+    conn = get_connection()
+    try:
+        result = import_input_dir(conn)
+    finally:
+        conn.close()
+    print(json.dumps(result, ensure_ascii=False, indent=2))
+    return 0
+
+
+def cmd_download_materials(args: argparse.Namespace) -> int:
+    """处理 download_tasks 队列：抓 pending 任务的材料 → 落库。
+
+    --ids "DLQ-xxx,DLQ-yyy": 只处理这些任务
+    --pick N: 无 --ids 时从 pending 领取 N 条（默认 5）
+    --limit N: 本次硬上限（默认 0 = 不限）
+    --headless: 无头模式（需要 profile cookie 已保存）
+    """
+    try:
+        result = platform_collector.process_queue(
+            limit=args.limit or args.pick,
+            ids_filter=args.ids,
+            headless=args.headless,
+            human_wait_timeout=args.human_wait_timeout or HUMAN_WAIT_TIMEOUT,
+        )
+    except platform_collector.RPAError as e:
+        print(json.dumps({
+            "error": e.code,
+            "detail": str(e),
+            "processed": 0, "succeeded": 0, "failed": 0, "details": [],
+        }, ensure_ascii=False, indent=2))
+        return 2
+    except Exception as e:
+        print(json.dumps({"error": "exception", "detail": str(e)},
+                         ensure_ascii=False, indent=2))
+        return 1
+
+    print(json.dumps(result, ensure_ascii=False, indent=2))
+    return 0
+
+
+def cmd_show_config(_args: argparse.Namespace) -> int:
+    """查看 .env 非空配置（敏感字段自动脱敏）。"""
+    from service.config_viewer import read_env_config
+
+    print(json.dumps(read_env_config(), ensure_ascii=False, indent=2))
+    return 0
+
+
+def cmd_logs_list(args: argparse.Namespace) -> int:
+    """读取日志末尾 N 行（默认 200）。"""
+    from service.logs_viewer import tail_log_file
+
+    result = tail_log_file(tail=args.tail, min_level=args.level)
+    print(json.dumps(result, ensure_ascii=False, indent=2))
+    return 0
+
+
 # ---------- argparse ----------
 
 def _parse_thresholds(s: str) -> tuple[int, int, int]:
@@ -360,6 +426,41 @@ def build_parser() -> argparse.ArgumentParser:
                     help="仅解析该合同（留空=处理所有 pending）")
     sp.set_defaults(handler=cmd_parse_materials)
 
+    sp = sub.add_parser(
+        "download-materials",
+        help="处理材料下载队列（pending 任务 → 浏览器抓取 → 落库）",
+    )
+    sp.add_argument("--limit", type=int, default=0, help="本次最多处理任务数（0 = 用 --pick）")
+    sp.add_argument("--ids", default="", help="逗号分隔 task_id 列表（仅处理这些 pending 任务）")
+    sp.add_argument("--pick", type=int, default=5, help="无 --ids 时从 pending 领取条数（默认 5）")
+    sp.add_argument("--headless", action="store_true", help="无头模式（需已保存 profile）")
+    sp.add_argument("--show-browser", dest="headless", action="store_false",
+                    help=argparse.SUPPRESS)
+    sp.add_argument("--human-wait-timeout", type=int, default=None,
+                    help="手工登录 fallback 等待秒数（默认 180 = HUMAN_WAIT_TIMEOUT）")
+    sp.set_defaults(headless=False, handler=cmd_download_materials)
+
+    sp = sub.add_parser(
+        "import-input",
+        help="扫描 data/input/{contracts,materials}/ 自动入库",
+    )
+    sp.set_defaults(handler=cmd_import_input)
+
+    sp = sub.add_parser(
+        "show-config",
+        help="查看 .env 配置（敏感字段自动脱敏）",
+    )
+    sp.set_defaults(handler=cmd_show_config)
+
+    sp = sub.add_parser(
+        "logs-list",
+        help="查看运行日志末尾 N 行",
+    )
+    sp.add_argument("--tail", type=int, default=200, help="末尾行数（默认 200）")
+    sp.add_argument("--level", default="INFO",
+                    help="最低级别 DEBUG/INFO/WARNING/ERROR（默认 INFO）")
+    sp.set_defaults(handler=cmd_logs_list)
+
     return p
 
 
@@ -370,7 +471,8 @@ def main(argv: Optional[List[str]] = None) -> int:
         print("Commands: health, version, config-path, init-db, "
               "scan-expiring-contracts, generate-renewal-task, "
               "dispatch-task-notice, mark-contract-renewed, render-html, "
-              "collect-from-platform, parse-materials")
+              "collect-from-platform, parse-materials, download-materials, "
+              "import-input, show-config, logs-list")
         return 1
 
     setup_skill_logging()

scripts/db/connection.py

@@ -90,6 +90,25 @@ DDL_STATEMENTS: tuple[str, ...] = (
     );
     """,
     "CREATE INDEX IF NOT EXISTS idx_dispatch_unit_month ON dispatch_log(unit_id, month);",
+    # 7. download_tasks (v1.1.18)
+    """
+    CREATE TABLE IF NOT EXISTS download_tasks (
+        task_id      TEXT PRIMARY KEY,
+        contract_id  TEXT NOT NULL,
+        kind         TEXT NOT NULL DEFAULT 'platform_button',
+        status       TEXT NOT NULL DEFAULT 'pending',
+        attempts     INTEGER NOT NULL DEFAULT 0,
+        error_msg    TEXT,
+        enqueued_at  TEXT NOT NULL,
+        started_at   TEXT,
+        finished_at  TEXT,
+        source_path  TEXT,
+        result_path  TEXT,
+        FOREIGN KEY (contract_id) REFERENCES contracts(contract_id)
+    );
+    """,
+    "CREATE INDEX IF NOT EXISTS idx_dlq_status ON download_tasks(status);",
+    "CREATE INDEX IF NOT EXISTS idx_dlq_contract ON download_tasks(contract_id);",
 )
 
 
@@ -131,6 +150,7 @@ def init_db(db_path: Path | None = None) -> dict[str, int]:
             "renewal_tasks": conn.execute("SELECT COUNT(*) AS n FROM renewal_tasks").fetchone()["n"],
             "dispatch_log": conn.execute("SELECT COUNT(*) AS n FROM dispatch_log").fetchone()["n"],
             "materials_content": conn.execute("SELECT COUNT(*) AS n FROM materials_content").fetchone()["n"],
+            "download_tasks": conn.execute("SELECT COUNT(*) AS n FROM download_tasks").fetchone()["n"],
         }
         return counts
     finally:
@@ -140,5 +160,5 @@ def init_db(db_path: Path | None = None) -> dict[str, int]:
 def table_names() -> Iterable[str]:
     return (
         "contracts", "performance_records", "alerts", "renewal_tasks",
-        "dispatch_log", "materials_content",
+        "dispatch_log", "materials_content", "download_tasks",
     )

scripts/db/repository.py

@@ -294,6 +294,59 @@ def list_dispatch_logs(conn: sqlite3.Connection) -> list[sqlite3.Row]:
 
 # ---------- materials_content（v1.1.1 新增） ----------
 
+def upsert_contract_from_csv_row(
+    conn: sqlite3.Connection, row: dict[str, str]
+) -> None:
+    """从 CSV 字典 upsert 一份合同。CSV 列名必须与 contracts 表列一致（或常见别名）。
+
+    缺字段兜底值：
+      employee_id      = contract_id
+      teacher_name     = ""
+      unit_id          = "U-UNKNOWN"
+      unit_name        = ""
+      position         = ""
+      contract_type    = ""
+      contract_start   = "1970-01-01"
+      contract_end     = "2099-12-31"
+      trial_period_end = contract_end
+      status           = "可续聘"
+    """
+    cid = row.get("contract_id") or row.get("合同ID") or ""
+    if not cid:
+        raise ValueError("CSV row missing contract_id / 合同ID")
+    conn.execute(
+        """
+        INSERT INTO contracts
+            (contract_id, employee_id, teacher_name, unit_id, unit_name,
+             position, contract_type, contract_start, contract_end,
+             trial_period_end, status, last_material_id, renewed_at)
+        VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, NULL, NULL)
+        ON CONFLICT(contract_id) DO UPDATE SET
+            teacher_name     = excluded.teacher_name,
+            unit_name        = excluded.unit_name,
+            position         = excluded.position,
+            contract_type    = excluded.contract_type,
+            contract_start   = excluded.contract_start,
+            contract_end     = excluded.contract_end,
+            trial_period_end = excluded.trial_period_end,
+            status           = excluded.status
+        """,
+        (
+            cid,
+            row.get("employee_id") or row.get("工号") or cid,
+            row.get("teacher_name") or row.get("教职工姓名") or "",
+            row.get("unit_id") or row.get("单位ID") or "U-UNKNOWN",
+            row.get("unit_name") or row.get("单位") or "",
+            row.get("position") or row.get("岗位") or "",
+            row.get("contract_type") or row.get("合同类型") or "",
+            row.get("contract_start") or row.get("合同起始日") or "1970-01-01",
+            row.get("contract_end") or row.get("合同到期日") or "2099-12-31",
+            row.get("trial_period_end") or row.get("试用期截止") or row.get("contract_end") or "2099-12-31",
+            row.get("status") or "可续聘",
+        ),
+    )
+
+
 def list_materials_for_contract(
     conn: sqlite3.Connection, contract_id: str
 ) -> list[sqlite3.Row]:
@@ -373,3 +426,124 @@ def summarize_materials(
     if len(summary) > 16000:
         summary = summary[:16000] + "\n...(材料过长已截断)"
     return (summary, file_names)
+
+
+# ---------- download_tasks（v1.1.18 新增） ----------
+
+
+def enqueue_download_task(
+    conn: sqlite3.Connection,
+    contract_id: str,
+    kind: str = "platform_button",
+) -> str:
+    """入队一个下载任务，返回 task_id。
+
+    已存在 (contract_id, kind, status ∈ {pending, running}) 时跳过（返回已存在的 task_id）。
+    """
+    import uuid
+
+    existing = conn.execute(
+        """SELECT task_id FROM download_tasks
+           WHERE contract_id = ? AND kind = ? AND status IN ('pending', 'running')
+           LIMIT 1""",
+        (contract_id, kind),
+    ).fetchone()
+    if existing:
+        return existing["task_id"]
+    task_id = f"DLQ-{uuid.uuid4().hex[:12]}"
+    conn.execute(
+        """
+        INSERT INTO download_tasks
+            (task_id, contract_id, kind, status, attempts, enqueued_at)
+        VALUES (?, ?, ?, 'pending', 0, ?)
+        """,
+        (task_id, contract_id, kind, datetime.now().isoformat(timespec="seconds")),
+    )
+    return task_id
+
+
+def _read_max_attempts(conn: sqlite3.Connection) -> int:
+    """读 DOWNLOAD_QUEUE_MAX_ATTEMPTS env（默认 3）。"""
+    import os
+    return int(os.environ.get("DOWNLOAD_QUEUE_MAX_ATTEMPTS", "3"))
+
+
+def claim_pending_tasks(
+    conn: sqlite3.Connection, limit: int, ids_filter: list[str] | None = None,
+) -> list[sqlite3.Row]:
+    """原子领取一批 pending 任务，标记为 running。
+
+    - limit: 最多领取条数
+    - ids_filter: 若给出，仅从这些 task_id 中领
+    """
+    max_attempts = _read_max_attempts(conn)
+    if ids_filter:
+        placeholders = ",".join("?" for _ in ids_filter)
+        rows = conn.execute(
+            f"""SELECT * FROM download_tasks
+                WHERE status = 'pending' AND attempts < ?
+                AND task_id IN ({placeholders})
+                ORDER BY enqueued_at ASC LIMIT ?""",
+            [max_attempts, *ids_filter, limit],
+        ).fetchall()
+    else:
+        rows = conn.execute(
+            """SELECT * FROM download_tasks
+               WHERE status = 'pending' AND attempts < ?
+               ORDER BY enqueued_at ASC LIMIT ?""",
+            (max_attempts, limit),
+        ).fetchall()
+    if not rows:
+        return []
+    now = datetime.now().isoformat(timespec="seconds")
+    for r in rows:
+        conn.execute(
+            "UPDATE download_tasks SET status = 'running', started_at = ? WHERE task_id = ?",
+            (now, r["task_id"]),
+        )
+    conn.commit()
+    return rows
+
+
+def mark_task_success(
+    conn: sqlite3.Connection, task_id: str, result_path: str,
+) -> None:
+    conn.execute(
+        """UPDATE download_tasks
+           SET status = 'success', result_path = ?, finished_at = ?
+           WHERE task_id = ?""",
+        (result_path, datetime.now().isoformat(timespec="seconds"), task_id),
+    )
+
+
+def mark_task_failed(
+    conn: sqlite3.Connection, task_id: str, error_msg: str,
+) -> None:
+    """失败一次：attempts+1，未超 max_attempts 则回退 pending，否则标 failed。"""
+    max_attempts = _read_max_attempts(conn)
+    now = datetime.now().isoformat(timespec="seconds")
+    conn.execute(
+        """UPDATE download_tasks
+           SET status = CASE WHEN attempts + 1 >= ? THEN 'failed' ELSE 'pending' END,
+               attempts = attempts + 1,
+               error_msg = ?,
+               finished_at = ?
+           WHERE task_id = ?""",
+        (max_attempts, error_msg, now, task_id),
+    )
+
+
+def list_recent_tasks(
+    conn: sqlite3.Connection, limit: int = 50
+) -> list[sqlite3.Row]:
+    return conn.execute(
+        "SELECT * FROM download_tasks ORDER BY enqueued_at DESC LIMIT ?",
+        (limit,),
+    ).fetchall()
+
+
+def count_tasks_by_status(conn: sqlite3.Connection) -> dict[str, int]:
+    rows = conn.execute(
+        "SELECT status, COUNT(*) AS n FROM download_tasks GROUP BY status"
+    ).fetchall()
+    return {r["status"]: r["n"] for r in rows}

scripts/service/config_viewer.py

@@ -0,0 +1,77 @@
+"""读取并脱敏 .env 配置供 UI 查看（v1.1.18）。
+
+仅显示 .env 文件中的非空 key；命中 (TOKEN|SECRET|KEY|PASSWORD) 的字段自动脱敏为 ***。
+"""
+
+from __future__ import annotations
+
+import re
+from pathlib import Path
+
+from util.runtime_paths import get_env_path
+
+
+# 匹配任一含 TOKEN / SECRET / KEY / PASSWORD 的 key 名（不区分大小写）
+_SECRET_PATTERN = re.compile(r"(TOKEN|SECRET|KEY|PASSWORD)", re.IGNORECASE)
+
+
+def _parse_env_file(path: Path) -> dict[str, str]:
+    """手动解析 .env（避免依赖 python-dotenv）。
+
+    - 跳过空行 / 注释（# 开头）
+    - 支持 KEY=VALUE 格式
+    - 自动去除包裹的 "..." 或 '...'
+    """
+    if not path.exists():
+        return {}
+    result: dict[str, str] = {}
+    with open(path, "r", encoding="utf-8") as f:
+        for line in f:
+            line = line.strip()
+            if not line or line.startswith("#"):
+                continue
+            if "=" not in line:
+                continue
+            k, _, v = line.partition("=")
+            k = k.strip()
+            v = v.strip()
+            # 去掉行尾注释（不处理引号内的 #，简单实现）
+            if " #" in v:
+                v = v.split(" #", 1)[0].strip()
+            if v.startswith('"') and v.endswith('"') and len(v) >= 2:
+                v = v[1:-1]
+            elif v.startswith("'") and v.endswith("'") and len(v) >= 2:
+                v = v[1:-1]
+            result[k] = v
+    return result
+
+
+def _mask_secret(value: str) -> str:
+    if not value:
+        return ""
+    if len(value) <= 4:
+        return "***"
+    return value[:2] + "***" + value[-2:]
+
+
+def read_env_config() -> dict:
+    """读取 .env 中的非空 key，敏感 key 脱敏为 ***。
+
+    Returns:
+        {
+            "env_path": str,
+            "exists": bool,
+            "config": {key: value_or_masked_value, ...}
+        }
+    """
+    path = get_env_path()
+    parsed = _parse_env_file(path)
+    out: dict[str, str] = {}
+    for k, v in sorted(parsed.items()):
+        if not v:
+            continue
+        if _SECRET_PATTERN.search(k):
+            out[k] = _mask_secret(v)
+        else:
+            out[k] = v
+    return {"env_path": str(path), "exists": path.exists(), "config": out}

scripts/service/importer.py

@@ -0,0 +1,111 @@
+"""主动扫描 data/input/{contracts,materials}/：CSV → contracts 表，PDF/Word → materials_content 表。
+
+对 sandbox 用户尤其重要：HR API 拿不到时，把材料直接丢进 input/materials/ 即可被自动识别。
+
+约定：
+  - input/contracts/*.csv
+      列名与 contracts 表一致（contract_id / teacher_name / unit_name / contract_end / ...）
+      也兼容中文别名（合同ID / 教职工姓名 / 单位 / 合同到期日 / 工号 / 岗位 / 合同类型）
+  - input/materials/{contract_id}__{filename}.{pdf|docx|doc}
+      文件名 __ 之前是 contract_id；无 __ 时回退 parent dir 名
+      拷贝到 data/materials/ + insert materials_content(parse_method='pending')
+"""
+
+from __future__ import annotations
+
+import csv
+import shutil
+import sqlite3
+from pathlib import Path
+
+from db import repository as repo
+from db.migrations import ensure_materials_content_schema
+from util.logging_setup import get_skill_logger
+from util.runtime_paths import (
+    get_data_dir,
+    get_input_contracts_dir,
+    get_input_materials_dir,
+)
+
+logger = get_skill_logger()
+
+MATERIAL_EXTS = {".pdf", ".docx", ".doc"}
+
+
+def _derive_contract_id_from_filename(mat_path: Path) -> str:
+    """从文件名推导 contract_id。约定：{contract_id}__{filename}.{ext}。"""
+    parts = mat_path.stem.split("__", 1)
+    if len(parts) == 2 and parts[0]:
+        return parts[0]
+    # 兜底：parent dir 名
+    return mat_path.parent.name or "UNKNOWN"
+
+
+def import_input_dir(conn: sqlite3.Connection) -> dict:
+    """扫描 input 目录 → 入库。返回统计 dict。
+
+    Returns:
+        {
+            "contracts_added": int,
+            "materials_added": int,
+            "files_scanned": int,
+            "errors": [str, ...],
+        }
+    """
+    ensure_materials_content_schema(conn)
+
+    contracts_dir = get_input_contracts_dir()
+    materials_dir = get_input_materials_dir()
+
+    contracts_added = 0
+    materials_added = 0
+    files_scanned = 0
+    errors: list[str] = []
+
+    # 1. CSV → contracts（contract_id 重复 → upsert 覆盖）
+    for csv_path in sorted(contracts_dir.glob("*.csv")):
+        files_scanned += 1
+        try:
+            with open(csv_path, "r", encoding="utf-8", newline="") as f:
+                reader = csv.DictReader(f)
+                for row in reader:
+                    if not row.get("contract_id") and not row.get("合同ID"):
+                        errors.append(f"{csv_path.name}: row 缺 contract_id 跳过")
+                        continue
+                    repo.upsert_contract_from_csv_row(conn, row)
+                    contracts_added += 1
+        except Exception as e:
+            errors.append(f"{csv_path.name}: {e}")
+            logger.warning("importer: CSV 解析失败 %s: %s", csv_path, e)
+
+    # 2. PDF/Word → materials_content（parse_method='pending'），文件拷贝到 data/materials/
+    materials_target_dir = get_data_dir() / "materials"
+    materials_target_dir.mkdir(parents=True, exist_ok=True)
+    for mat_path in sorted(materials_dir.iterdir()):
+        if not mat_path.is_file() or mat_path.suffix.lower() not in MATERIAL_EXTS:
+            continue
+        files_scanned += 1
+        try:
+            contract_id = _derive_contract_id_from_filename(mat_path)
+            target = materials_target_dir / mat_path.name
+            if not target.exists():
+                shutil.copy2(mat_path, target)
+            repo.insert_material(
+                conn, contract_id, mat_path.name, str(target),
+                None, "pending",
+            )
+            materials_added += 1
+            logger.info(
+                "importer: 入库 %s → contract_id=%s", mat_path.name, contract_id,
+            )
+        except Exception as e:
+            errors.append(f"{mat_path.name}: {e}")
+            logger.warning("importer: 材料导入失败 %s: %s", mat_path, e)
+
+    conn.commit()
+    return {
+        "contracts_added": contracts_added,
+        "materials_added": materials_added,
+        "files_scanned": files_scanned,
+        "errors": errors,
+    }

scripts/service/logs_viewer.py

@@ -0,0 +1,86 @@
+"""读取日志文件末尾 N 行（v1.1.18）。
+
+按 level 过滤：默认 INFO+。适用于 RotatingFileHandler 落地的日志文件。
+"""
+
+from __future__ import annotations
+
+import os
+from pathlib import Path
+
+from util.runtime_paths import get_logs_dir
+
+
+DEFAULT_TAIL = 200
+_LEVEL_ORDER = {
+    "DEBUG": 10, "INFO": 20, "WARNING": 30, "ERROR": 40, "CRITICAL": 50,
+}
+
+
+def _resolve_log_path() -> Path:
+    """解析日志文件路径。
+
+    优先级：
+      1. LOG_FILE env（绝对路径直接用，相对路径走 get_logs_dir()）
+      2. 默认 get_logs_dir() / LOG_FILE_DEFAULT_NAME
+    """
+    raw = os.environ.get("LOG_FILE", "")
+    if raw:
+        p = Path(raw)
+        if not p.is_absolute():
+            p = get_logs_dir() / raw
+        return p
+    from util.constants import LOG_FILE_DEFAULT_NAME
+    return get_logs_dir() / LOG_FILE_DEFAULT_NAME
+
+
+def tail_log_file(tail: int = DEFAULT_TAIL, min_level: str = "INFO") -> dict:
+    """读日志文件末尾 tail 行，过滤 level >= min_level。
+
+    Returns:
+        {
+            "log_file": str,
+            "exists": bool,
+            "total_lines": int,
+            "returned_lines": int,
+            "lines": [str, ...],
+            "min_level": str,
+        }
+    """
+    log_path = _resolve_log_path()
+    if not log_path.exists():
+        return {
+            "log_file": str(log_path),
+            "exists": False,
+            "total_lines": 0,
+            "returned_lines": 0,
+            "lines": [],
+            "min_level": min_level,
+        }
+
+    text = log_path.read_text(encoding="utf-8", errors="replace")
+    all_lines = text.splitlines()
+    last_n = all_lines[-tail:] if tail > 0 else all_lines
+    threshold = _LEVEL_ORDER.get(min_level.upper(), 20)
+
+    filtered: list[str] = []
+    for line in last_n:
+        # 格式: "2026-09-15 12:34:56 [alert-contract-expiring-hr] INFO message"
+        # 取第 4 个 token (INFO/DEBUG/...)
+        parts = line.split()
+        if len(parts) >= 4 and parts[1].count(":") >= 2 and parts[3] in _LEVEL_ORDER:
+            line_level = parts[3]
+            if _LEVEL_ORDER.get(line_level, 0) >= threshold:
+                filtered.append(line)
+        else:
+            # 非标准行 / 解析不到 level：保留
+            filtered.append(line)
+
+    return {
+        "log_file": str(log_path),
+        "exists": True,
+        "total_lines": len(all_lines),
+        "returned_lines": len(filtered),
+        "lines": filtered,
+        "min_level": min_level,
+    }

scripts/service/platform_collector.py

@@ -865,11 +865,265 @@ def _persist_contracts(contracts: list[dict]) -> int:
                                 datetime.now().isoformat(timespec="seconds"),
                             ),
                         )
+                # v1.1.18：每个合同入队 download_tasks（即使已抓到卡片也入队，
+                # process_queue 失败时可用作重试锚点；enqueue_download_task 幂等）
+                repo.enqueue_download_task(conn, c["contract_id"], "platform_button")
         return len(contracts)
     finally:
         conn.close()
 
 
+def _download_materials_for_row(
+    page, row_idx: int, contract_id: str, mat_btn_count: int,
+) -> list[dict]:
+    """点续聘材料包按钮抓卡片文本（与 v1.1.17 collect_all 内联逻辑等价）。
+
+    返回 materials 列表（kind=sandbox_card，含 file_name + text）。
+    """
+    if mat_btn_count == 0:
+        return []
+    materials: list[dict] = []
+    try:
+        btn = page.locator("table tbody tr").nth(row_idx).locator(
+            "button:has-text('续聘材料包')"
+        )
+        btn.click()
+        page.wait_for_timeout(CARD_APPEAR_WAIT_MS)
+        cards_text = page.locator(
+            "main .grid > div, main > div > div > div"
+        ).all_inner_texts()
+        materials_text = "\n\n".join(t.strip() for t in cards_text if t.strip())
+        if materials_text:
+            materials.append({
+                "kind": "sandbox_card",
+                "file_name": f"{contract_id}_materials.txt",
+                "text": materials_text,
+            })
+            logger.info(
+                "platform_collector: 抓到卡片文本 %d 字 (%s)",
+                len(materials_text), contract_id,
+            )
+    except Exception as e:
+        logger.warning("抓卡片失败 %s: %s", contract_id, e)
+    return materials
+
+
+def _find_row_for_contract(page, contract_id: str) -> int | None:
+    """在 hr/contracts 表格中找 contract_id 所在行号。
+
+    支持 7 列（用 teacher_name 派生 contract_id）与 10 列（用 emp_id）。
+    不匹配返回 None（调用方 mark_task_failed）。
+    """
+    rows = page.eval_on_selector_all(
+        "table tbody tr",
+        "rs => rs.map(r => Array.from(r.querySelectorAll('td')).map(td => td.innerText))",
+    )
+    for i, r in enumerate(rows):
+        ncols = len(r)
+        if ncols < 6:
+            continue
+        first_col = r[0].strip()
+        is_emp_id = bool(re.match(r"^[A-Za-z]?\d+$", first_col))
+        if is_emp_id and ncols >= 9:
+            emp_id, contract_end = first_col, r[5].split("~")[-1].strip()
+        elif ncols >= 6:
+            emp_id, contract_end = first_col, r[2].strip()
+        else:
+            continue
+        candidate = _gen_contract_id(emp_id, contract_end)
+        if candidate == contract_id:
+            return i
+    return None
+
+
+def process_queue(
+    limit: int = 5,
+    headless: bool = True,
+    human_wait_timeout: int = HUMAN_WAIT_TIMEOUT,
+    ids_filter: str = "",
+) -> dict:
+    """从 download_tasks 队列取 pending 任务，对每个合同重新走材料抓取。
+
+    与 collect_all 重复登录流程，但每行只点「续聘材料包」按钮抓卡片，不重新抓合同表。
+
+    参数：
+      limit: 本次最多处理任务数（0 = 不限）
+      ids_filter: 逗号分隔 task_id 列表（只处理这些 pending）
+      headless: 无头模式（需要 profile cookie 已保存）
+      human_wait_timeout: 手工登录 fallback 等待秒数
+
+    返回 {processed, succeeded, failed, details}。
+    """
+    try:
+        from playwright.sync_api import sync_playwright
+    except ImportError:
+        logger.error("playwright 未安装，跳过队列处理")
+        return {"processed": 0, "succeeded": 0, "failed": 0, "details": [],
+                "error": "playwright_not_installed"}
+
+    from db.connection import get_connection
+
+    # 1. 领取一批任务
+    ids_list = [s.strip() for s in ids_filter.split(",") if s.strip()] if ids_filter else None
+    conn = get_connection()
+    try:
+        tasks = repo.claim_pending_tasks(
+            conn,
+            limit=limit if limit > 0 else 999,
+            ids_filter=ids_list,
+        )
+    finally:
+        conn.close()
+
+    if not tasks:
+        return {"processed": 0, "succeeded": 0, "failed": 0, "details": []}
+
+    profile_dir = _safe_getenv_dir("SMARTCAMPUS_PROFILE_DIR", "playwright-profile")
+    download_dir = _safe_getenv_dir("MATERIALS_DOWNLOAD_DIR", "materials")
+    profile_dir.mkdir(parents=True, exist_ok=True)
+    download_dir.mkdir(parents=True, exist_ok=True)
+
+    details: list[dict] = []
+    succeeded = 0
+    failed = 0
+
+    with sync_playwright() as p:
+        ctx = p.chromium.launch_persistent_context(
+            user_data_dir=str(profile_dir),
+            headless=headless,
+            accept_downloads=True,
+            viewport={"width": 1440, "height": 900},
+            channel="msedge" if not headless else None,
+        ) if not headless else p.chromium.launch_persistent_context(
+            user_data_dir=str(profile_dir),
+            headless=True,
+            accept_downloads=True,
+            viewport={"width": 1440, "height": 900},
+        )
+        try:
+            page = ctx.new_page()
+            page.set_default_timeout(DEFAULT_PAGE_TIMEOUT_MS)
+
+            # 登录：复用 v1.1.17 collect_all 的探针 + 自动 fill + 手工 fallback 流程
+            logger.info("platform_collector.process_queue: 启动 profile=%s headless=%s 待处理 %d",
+                        profile_dir, headless, len(tasks))
+            _goto(page, SPA_HOME_URL)
+            page.wait_for_timeout(SPA_HYDRATION_MS)
+            if _is_logged_in(page):
+                logger.info("platform_collector.process_queue: ✅ 已登录态")
+            else:
+                _goto(page, SPA_LOGIN_URL)
+                page.wait_for_timeout(SPA_HYDRATION_MS)
+                if not _fill_spa_login(page):
+                    if not headless:
+                        _wait_for_manual_login(page, wait_sec=human_wait_timeout)
+                    else:
+                        raise LoginTimeoutError("process_queue headless 自动 fill 失败")
+                else:
+                    page.wait_for_timeout(POST_LOGIN_SETTLE_MS)
+
+            # 强制 goto SPA_HOME + 侧边栏 hr/contracts
+            for _ in range(SPA_HOME_RETRY_MAX):
+                if _is_logged_in(page):
+                    break
+                _goto(page, SPA_HOME_URL)
+                page.wait_for_timeout(SPA_HOME_RETRY_DELAY_MS)
+                if _fill_spa_login(page):
+                    page.wait_for_timeout(POST_LOGIN_SETTLE_MS)
+            if not _is_logged_in(page):
+                raise LoginTimeoutError("process_queue 仍未登录")
+
+            # 等表格
+            page.wait_for_timeout(TABLE_INITIAL_WAIT_MS)
+            found_table = False
+            for _attempt in range(TABLE_POLL_MAX_ATTEMPTS):
+                page.wait_for_timeout(TABLE_POLL_INTERVAL_MS)
+                try:
+                    page.wait_for_selector(
+                        "table tbody tr", timeout=TABLE_TR_TIMEOUT_MS,
+                    )
+                    found_table = True
+                    break
+                except Exception:
+                    pass
+            if not found_table:
+                raise TableNotFoundError("process_queue 表格未找到")
+
+            mat_btn_count = page.locator(
+                "table tbody tr button:has-text('续聘材料包')"
+            ).count()
+
+            # 2. 逐任务处理
+            for t in tasks:
+                contract_id = t["contract_id"]
+                task_id = t["task_id"]
+                conn = get_connection()
+                try:
+                    row_idx = _find_row_for_contract(page, contract_id)
+                    if row_idx is None:
+                        repo.mark_task_failed(conn, task_id, "contract_not_found_in_table")
+                        failed += 1
+                        details.append({"task_id": task_id, "contract_id": contract_id,
+                                        "error": "contract_not_found_in_table"})
+                        conn.commit()
+                        continue
+                    materials = _download_materials_for_row(
+                        page, row_idx, contract_id, mat_btn_count,
+                    )
+                    from db.migrations import ensure_materials_content_schema
+                    ensure_materials_content_schema(conn)
+                    for m in materials:
+                        if isinstance(m, dict) and m.get("kind") == "sandbox_card":
+                            conn.execute(
+                                """
+                                INSERT OR REPLACE INTO materials_content
+                                    (contract_id, file_name, file_path, extracted_text,
+                                     parse_method, parsed_at)
+                                VALUES (?, ?, ?, ?, 'sandbox_card', ?)
+                                """,
+                                (
+                                    contract_id, m["file_name"],
+                                    f"sandbox://hr/contracts/{contract_id}",
+                                    m["text"],
+                                    datetime.now().isoformat(timespec="seconds"),
+                                ),
+                            )
+                            repo.parse_sandbox_card_performance(conn, contract_id, m["text"])
+                    result_path = (
+                        f"sandbox://hr/contracts/{contract_id}"
+                        if materials else "no_materials_captured"
+                    )
+                    repo.mark_task_success(conn, task_id, result_path)
+                    succeeded += 1
+                    details.append({
+                        "task_id": task_id,
+                        "contract_id": contract_id,
+                        "ok": True,
+                        "materials_count": len(materials),
+                    })
+                    conn.commit()
+                except Exception as e:
+                    repo.mark_task_failed(conn, task_id, str(e))
+                    failed += 1
+                    details.append({
+                        "task_id": task_id, "contract_id": contract_id,
+                        "error": str(e),
+                    })
+                    conn.commit()
+                    logger.warning("process_queue: task=%s 失败: %s", task_id, e)
+                finally:
+                    conn.close()
+        finally:
+            ctx.close()
+
+    return {
+        "processed": len(tasks),
+        "succeeded": succeeded,
+        "failed": failed,
+        "details": details,
+    }
+
+
 def _error_result(reason: str, fetched: int) -> dict:
     return {
         "platform_url": PLATFORM_URL,

scripts/util/constants.py

@@ -6,7 +6,7 @@
 """
 
 SKILL_SLUG = "alert-contract-expiring-hr"
-SKILL_VERSION = "1.1.17"
+SKILL_VERSION = "1.1.18"
 LOG_LOGGER_NAME = "openclaw.skill.alert_contract_expiring_hr"
 PLATFORM_KIT_MIN_VERSION = "1.2.11"
 
@@ -87,3 +87,13 @@ CARD_APPEAR_WAIT_MS = 3_000       # 「续聘材料包」click 后等卡片出
 
 # dump
 DUMP_PATH_PARENT_MKDIR = True     # _dump_page 是否自动创建父目录
+
+# ----- v1.1.18：日志落文件 -----
+LOG_FILE_DEFAULT_NAME = "alert-contract-expiring-hr.log"
+LOG_MAX_BYTES_DEFAULT = 5 * 1024 * 1024   # 5MB
+LOG_BACKUP_COUNT_DEFAULT = 5
+
+# ----- v1.1.18：材料下载队列 -----
+DOWNLOAD_QUEUE_MAX_ATTEMPTS_DEFAULT = 3
+DOWNLOAD_QUEUE_KINDS = ("platform_button", "local_upload")
+DOWNLOAD_QUEUE_STATUSES = ("pending", "running", "success", "failed")

scripts/util/logging_setup.py

@@ -1,20 +1,35 @@
 """logging 配置：降级到 stderr，避免污染 stdout（stdout 留给结构化输出如 JSON）。
 
 优先用 jiangchang_skill_core 提供的 logging；本地无该包时降级到 stderr。
+
+v1.1.18：本地降级路径追加 RotatingFileHandler（按 LOG_FILE env 决定是否落文件）。
 """
 
 from __future__ import annotations
 
 import logging
+import logging.handlers
+import os
 import sys
+from pathlib import Path
 
-from util.constants import LOG_LOGGER_NAME, SKILL_SLUG, SKILL_VERSION
+from util.constants import (
+    LOG_LOGGER_NAME,
+    SKILL_SLUG,
+    SKILL_VERSION,
+)
 
 _configured = False
 
 
 def setup_skill_logging() -> logging.Logger:
-    """初始化 skill logger（幂等）。"""
+    """初始化 skill logger（幂等）。
+
+    本地降级行为（无 jiangchang_skill_core 时）：
+      - 若 LOG_FILE 已设：追加 RotatingFileHandler（LOG_MAX_BYTES × LOG_BACKUP_COUNT）
+      - 始终追加 StreamHandler(sys.stderr)
+      - logger level 取自 LOG_LEVEL（默认 INFO）
+    """
     global _configured
     logger = logging.getLogger(LOG_LOGGER_NAME)
     if _configured:
@@ -30,15 +45,38 @@ def setup_skill_logging() -> logging.Logger:
     except ImportError:
         pass
 
-    # 本地降级：基础 stderr handler，UTF-8 safe
-    handler = logging.StreamHandler(sys.stderr)
-    handler.setFormatter(
-        logging.Formatter(
-            fmt=f"%(asctime)s [{SKILL_SLUG}] %(levelname)s %(message)s",
-            datefmt="%Y-%m-%d %H:%M:%S",
-        )
+    # logger 级别
+    level_name = os.environ.get("LOG_LEVEL", "INFO").upper()
+    logger.setLevel(getattr(logging, level_name, logging.INFO))
+
+    formatter = logging.Formatter(
+        fmt=f"%(asctime)s [{SKILL_SLUG}] %(levelname)s %(message)s",
+        datefmt="%Y-%m-%d %H:%M:%S",
     )
-    logger.setLevel(logging.INFO)
+
+    # 本地降级：可选 RotatingFileHandler
+    log_file_str = os.environ.get("LOG_FILE")
+    if log_file_str:
+        log_path = Path(log_file_str)
+        if not log_path.is_absolute():
+            from util.runtime_paths import get_logs_dir
+
+            log_path = get_logs_dir() / log_file_str
+        log_path.parent.mkdir(parents=True, exist_ok=True)
+        max_bytes = int(os.environ.get("LOG_MAX_BYTES", str(5 * 1024 * 1024)))
+        backup_count = int(os.environ.get("LOG_BACKUP_COUNT", "5"))
+        file_handler = logging.handlers.RotatingFileHandler(
+            log_path,
+            maxBytes=max_bytes,
+            backupCount=backup_count,
+            encoding="utf-8",
+        )
+        file_handler.setFormatter(formatter)
+        logger.addHandler(file_handler)
+
+    # 始终保留 stderr handler
+    handler = logging.StreamHandler(sys.stderr)
+    handler.setFormatter(formatter)
     logger.addHandler(handler)
     logger.propagate = False
     _configured = True
@@ -51,3 +89,19 @@ def get_skill_logger() -> logging.Logger:
     if not _configured:
         return setup_skill_logging()
     return logging.getLogger(LOG_LOGGER_NAME)
+
+
+def reset_for_tests() -> None:
+    """测试用：重置 _configured flag，让 setup_skill_logging 重新初始化。
+
+    必须在每个修改日志配置的测试 fixture 里调用，否则 env 改动不会生效。
+    """
+    global _configured
+    logger = logging.getLogger(LOG_LOGGER_NAME)
+    for h in list(logger.handlers):
+        try:
+            h.close()
+        except Exception:
+            pass
+        logger.removeHandler(h)
+    _configured = False

scripts/util/runtime_paths.py

@@ -66,6 +66,30 @@ def get_dispatch_dir() -> Path:
     return get_data_dir() / "dispatch"
 
 
+def get_logs_dir() -> Path:
+    """返回日志目录（RotatingFileHandler 默认落地点）。"""
+    env_dir = os.environ.get("JIANGCHANG_LOGS_DIR")
+    if env_dir:
+        return Path(env_dir)
+    return get_data_dir() / "logs"
+
+
+def get_input_dir() -> Path:
+    """返回用户主动投放的输入目录（含 contracts/*.csv + materials/*.{pdf,docx,doc}）。"""
+    env_dir = os.environ.get("INPUT_DIR")
+    if env_dir:
+        return Path(env_dir)
+    return get_data_dir() / "input"
+
+
+def get_input_contracts_dir() -> Path:
+    return get_input_dir() / "contracts"
+
+
+def get_input_materials_dir() -> Path:
+    return get_input_dir() / "materials"
+
+
 def get_examples_dir() -> Path:
     """返回样例数据目录。"""
     return get_skill_root() / "examples"
@@ -78,5 +102,13 @@ def get_templates_dir() -> Path:
 
 def ensure_dirs() -> None:
     """确保所有需要的目录存在。"""
-    for d in (get_data_dir(), get_output_dir(), get_dispatch_dir()):
+    for d in (
+        get_data_dir(),
+        get_output_dir(),
+        get_dispatch_dir(),
+        get_logs_dir(),
+        get_input_dir(),
+        get_input_contracts_dir(),
+        get_input_materials_dir(),
+    ):
         d.mkdir(parents=True, exist_ok=True)

tests/run_tests.py

@@ -241,7 +241,30 @@ def test_data_management_actions() -> tuple[bool, str]:
             return False, f"{action_id} 未绑定合同台账"
         if action.get("entrypoint", {}).get("command") != action_id:
             return False, f"{action_id} CLI command 映射错误"
-    return True, "5 个数据管理动作均绑定合同台账并映射到 CLI"
+
+    # v1.1.18: download-materials 是 async form action，绑定 download_tasks 队列表
+    dl = by_id.get("download-materials")
+    if not dl:
+        return False, "缺少 download-materials 动作"
+    if dl.get("executionProfile") != "async":
+        return False, f"download-materials 应为 async，实际 {dl.get('executionProfile')}"
+    if dl.get("interaction") != "form":
+        return False, f"download-materials 应为 form interaction"
+    if "download_tasks" not in dl.get("bind", {}).get("tables", []):
+        return False, f"download-materials 未绑定 download_tasks"
+    schema_props = dl.get("inputSchema", {}).get("properties", {})
+    if "itemIds" not in schema_props or "pickCount" not in schema_props:
+        return False, f"download-materials inputSchema 缺 itemIds/pickCount: {schema_props}"
+
+    # v1.1.18: show-config / logs-list 是 sync 运维动作
+    for sync_id in ("show-config", "logs-list"):
+        a = by_id.get(sync_id)
+        if not a:
+            return False, f"缺少 {sync_id} 动作"
+        if a.get("executionProfile") != "sync":
+            return False, f"{sync_id} 应为 sync"
+
+    return True, "5 个数据管理动作 + download-materials (async form) + show-config/logs-list (sync) 全部就绪"
 
 
 def test_collect_platform_defaults_to_browser() -> tuple[bool, str]:
@@ -741,6 +764,643 @@ def test_parse_alert_red_orange_yellow_unknown() -> tuple[bool, str]:
     return True, "四级映射 OK"
 
 
+# ---------- v1.1.18：日志 / 路径 / 输入目录 / 队列 / 配置 / 日志查看 ----------
+
+
+def test_logging_rotating_file_handler() -> tuple[bool, str]:
+    """LOG_FILE 已设时，setup_skill_logging 应追加 RotatingFileHandler。"""
+    import importlib
+    from util.runtime_paths import get_logs_dir
+
+    log_path = get_logs_dir() / "test-rotate.log"
+
+    os.environ["LOG_FILE"] = str(log_path)
+    os.environ.pop("LOG_MAX_BYTES", None)
+    os.environ.pop("LOG_BACKUP_COUNT", None)
+    os.environ.pop("LOG_LEVEL", None)
+    import util.logging_setup as ls
+    importlib.reload(ls)
+    ls.reset_for_tests()
+
+    logger = ls.setup_skill_logging()
+    logger.info("hello rotating")
+
+    found = [h for h in logger.handlers if h.__class__.__name__ == "RotatingFileHandler"]
+    if not found:
+        ls.reset_for_tests()
+        os.environ.pop("LOG_FILE", None)
+        return False, "未发现 RotatingFileHandler"
+    if not log_path.exists():
+        ls.reset_for_tests()
+        os.environ.pop("LOG_FILE", None)
+        return False, f"日志文件未生成: {log_path}"
+    content = log_path.read_text(encoding="utf-8")
+    if "hello rotating" not in content:
+        ls.reset_for_tests()
+        os.environ.pop("LOG_FILE", None)
+        return False, f"日志内容缺 'hello rotating': {content[:200]}"
+
+    ls.reset_for_tests()
+    os.environ.pop("LOG_FILE", None)
+    importlib.reload(ls)
+    return True, "RotatingFileHandler 写入成功"
+
+
+def test_logging_fallback_when_log_file_unset() -> tuple[bool, str]:
+    """LOG_FILE 未设时，logger 只有 StreamHandler（行为等价 v1.1.17）。"""
+    import importlib
+
+    os.environ.pop("LOG_FILE", None)
+    os.environ.pop("LOG_LEVEL", None)
+    import util.logging_setup as ls
+    importlib.reload(ls)
+    ls.reset_for_tests()
+
+    logger = ls.setup_skill_logging()
+    file_handlers = [h for h in logger.handlers if "File" in h.__class__.__name__]
+    if file_handlers:
+        ls.reset_for_tests()
+        return False, f"应有 0 个 FileHandler，实际 {len(file_handlers)}"
+
+    ls.reset_for_tests()
+    return True, "无 LOG_FILE 时无 FileHandler（兼容 v1.1.17）"
+
+
+def test_logging_level_env() -> tuple[bool, str]:
+    """LOG_LEVEL=DEBUG 应让 logger.level == logging.DEBUG。"""
+    import importlib
+    import logging
+
+    os.environ["LOG_LEVEL"] = "DEBUG"
+    os.environ.pop("LOG_FILE", None)
+    import util.logging_setup as ls
+    importlib.reload(ls)
+    ls.reset_for_tests()
+
+    logger = ls.setup_skill_logging()
+    got = logger.level
+    if got != logging.DEBUG:
+        ls.reset_for_tests()
+        os.environ.pop("LOG_LEVEL", None)
+        return False, f"logger.level={got} (want {logging.DEBUG})"
+
+    ls.reset_for_tests()
+    os.environ.pop("LOG_LEVEL", None)
+    return True, "LOG_LEVEL=DEBUG 生效"
+
+
+def test_logs_dir_default_under_data() -> tuple[bool, str]:
+    """JIANGCHANG_LOGS_DIR 未设时，get_logs_dir() = get_data_dir() / 'logs'。"""
+    os.environ.pop("JIANGCHANG_LOGS_DIR", None)
+    os.environ.pop("LOG_FILE", None)
+    import util.logging_setup as ls  # 触发 runtime_paths 副作用
+    ls.reset_for_tests()
+
+    from util.runtime_paths import get_logs_dir, get_data_dir
+    expected = get_data_dir() / "logs"
+    if get_logs_dir() != expected:
+        return False, f"get_logs_dir()={get_logs_dir()} != {expected}"
+    if not expected.exists():
+        return False, f"ensure_dirs 没创建 {expected}"
+    return True, f"get_logs_dir={expected}"
+
+
+def _isolated_input_dirs(monkeypatch_env: dict[str, str | None]) -> tuple[Path, Path]:
+    """把 INPUT_DIR 重定向到 tmpdir，返回 (input_root, materials_target) 的 Path。
+
+    不会污染仓库 data/input/。
+    """
+    import tempfile
+    tmp = Path(tempfile.mkdtemp(prefix="alert-hr-importer-test-"))
+    input_root = tmp / "input"
+    (input_root / "contracts").mkdir(parents=True)
+    (input_root / "materials").mkdir(parents=True)
+    monkeypatch_env["INPUT_DIR"] = str(input_root)
+    os.environ["INPUT_DIR"] = str(input_root)   # 关键：进程 env 也得设，否则 runtime_paths 读不到
+    return input_root, tmp
+
+
+def _restore_input_env(saved: dict[str, str | None]) -> None:
+    for k, v in saved.items():
+        if v is None:
+            os.environ.pop(k, None)
+        else:
+            os.environ[k] = v
+
+
+def test_importer_contracts_csv_upsert() -> tuple[bool, str]:
+    """input/contracts/*.csv → contracts 表 upsert。"""
+    saved = {k: os.environ.get(k) for k in ("INPUT_DIR",)}
+    try:
+        input_root, tmp = _isolated_input_dirs(saved)
+        contracts_dir = input_root / "contracts"
+        csv_path = contracts_dir / "batch1.csv"
+        csv_path.write_text(
+            "contract_id,teacher_name,unit_name,contract_end,employee_id\n"
+            "C001,张三,物理学院,2026-04-15,T001\n"
+            "C002,李四,计算机学院,2026-08-31,T002\n",
+            encoding="utf-8",
+        )
+
+        conn = _make_conn()
+        try:
+            from service.importer import import_input_dir
+            result = import_input_dir(conn)
+
+            if result["contracts_added"] != 2:
+                return False, f"contracts_added={result['contracts_added']} (want 2)"
+            if result["errors"]:
+                return False, f"errors={result['errors']}"
+
+            rows = conn.execute(
+                "SELECT contract_id, teacher_name, unit_name, contract_end "
+                "FROM contracts ORDER BY contract_id"
+            ).fetchall()
+            if len(rows) != 2:
+                return False, f"DB 中合同数={len(rows)} (want 2)"
+            if rows[0]["teacher_name"] != "张三":
+                return False, f"row[0].teacher_name={rows[0]['teacher_name']}"
+            return True, f"contracts_added={result['contracts_added']}"
+        finally:
+            conn.close()
+            shutil.rmtree(tmp, ignore_errors=True)
+    finally:
+        _restore_input_env(saved)
+
+
+def test_importer_materials_pdf_enqueue() -> tuple[bool, str]:
+    """input/materials/{cid}__{f}.pdf → materials_content (parse_method='pending')。"""
+    saved = {k: os.environ.get(k) for k in ("INPUT_DIR",)}
+    try:
+        input_root, tmp = _isolated_input_dirs(saved)
+        materials_dir = input_root / "materials"
+        pdf_path = materials_dir / "RPA-C001__考核表.pdf"
+        pdf_path.write_bytes(b"%PDF-1.4 fake test file")
+
+        conn = _make_conn()
+        try:
+            # 先插入 contract（materials_content FK 到 contracts.contract_id）
+            conn.execute(
+                """INSERT INTO contracts
+                   (contract_id, employee_id, teacher_name, unit_id, unit_name,
+                    position, contract_type, contract_start, contract_end,
+                    trial_period_end, status)
+                   VALUES ('RPA-C001', 'T001', '张三', 'U001', '物理学院',
+                           '教授', '固定期限', '2024-01-01', '2026-04-15',
+                           '2024-04-15', '可续聘')"""
+            )
+            conn.commit()
+
+            from service.importer import import_input_dir
+            result = import_input_dir(conn)
+
+            if result["materials_added"] != 1:
+                return False, f"materials_added={result['materials_added']} (want 1) errors={result['errors']}"
+
+            row = conn.execute(
+                "SELECT contract_id, parse_method FROM materials_content "
+                "WHERE contract_id = 'RPA-C001'"
+            ).fetchone()
+            if not row:
+                return False, "materials_content 未写入"
+            if row["parse_method"] != "pending":
+                return False, f"parse_method={row['parse_method']} (want pending)"
+            return True, "PDF 入库 parse_method=pending"
+        finally:
+            conn.close()
+            shutil.rmtree(tmp, ignore_errors=True)
+    finally:
+        _restore_input_env(saved)
+
+
+def test_importer_idempotent() -> tuple[bool, str]:
+    """同一 CSV 跑两次，第二次 contracts_added=0（upsert 幂等）。"""
+    saved = {k: os.environ.get(k) for k in ("INPUT_DIR",)}
+    try:
+        input_root, tmp = _isolated_input_dirs(saved)
+        (input_root / "contracts" / "x.csv").write_text(
+            "contract_id,teacher_name\nC100,重复测试\n", encoding="utf-8"
+        )
+
+        conn = _make_conn()
+        try:
+            from service.importer import import_input_dir
+            r1 = import_input_dir(conn)
+            r2 = import_input_dir(conn)
+            if r1["contracts_added"] != 1:
+                return False, f"first={r1['contracts_added']} (want 1)"
+            if r2["contracts_added"] != 1:
+                # 注意：CSV 仍按行 upsert，第 2 次相当于 1 次 UPDATE，contracts_added 仍计数
+                return False, f"second={r2['contracts_added']} (want 1)"
+            n = conn.execute("SELECT COUNT(*) AS n FROM contracts").fetchone()["n"]
+            if n != 1:
+                return False, f"DB count={n} (want 1，幂等)"
+            return True, "幂等 OK：DB count=1"
+        finally:
+            conn.close()
+            shutil.rmtree(tmp, ignore_errors=True)
+    finally:
+        _restore_input_env(saved)
+
+
+def test_importer_empty_input_dir() -> tuple[bool, str]:
+    """空 input 目录 → no-op，返回全 0。"""
+    saved = {k: os.environ.get(k) for k in ("INPUT_DIR",)}
+    try:
+        input_root, tmp = _isolated_input_dirs(saved)
+
+        conn = _make_conn()
+        try:
+            from service.importer import import_input_dir
+            result = import_input_dir(conn)
+            if result["contracts_added"] or result["materials_added"]:
+                return False, f"空目录应返回全 0，实际 {result}"
+            if result["files_scanned"] != 0:
+                return False, f"files_scanned={result['files_scanned']} (want 0)"
+            return True, "空目录 no-op"
+        finally:
+            conn.close()
+            shutil.rmtree(tmp, ignore_errors=True)
+    finally:
+        _restore_input_env(saved)
+
+
+def test_download_tasks_enqueue_idempotent() -> tuple[bool, str]:
+    """enqueue 同一合同两次：第 2 次返回已有 task_id，DB 仅 1 行。"""
+    from db import repository as repo
+
+    conn = _make_conn()
+    try:
+        conn.execute(
+            """INSERT INTO contracts
+               (contract_id, employee_id, teacher_name, unit_id, unit_name,
+                position, contract_type, contract_start, contract_end,
+                trial_period_end, status)
+               VALUES ('C100', 'T100', 'X', 'U1', 'Y', '', '', '2024-01-01',
+                       '2026-04-15', '2024-04-15', '可续聘')"""
+        )
+        conn.commit()
+
+        t1 = repo.enqueue_download_task(conn, "C100", "platform_button")
+        t2 = repo.enqueue_download_task(conn, "C100", "platform_button")
+        if t1 != t2:
+            return False, f"t1={t1} t2={t2} (应相同)"
+        n = conn.execute(
+            "SELECT COUNT(*) AS n FROM download_tasks WHERE contract_id = 'C100'"
+        ).fetchone()["n"]
+        if n != 1:
+            return False, f"DB count={n} (want 1)"
+        return True, f"idempotent: task_id={t1}"
+    finally:
+        conn.close()
+
+
+def test_download_tasks_claim_atomic() -> tuple[bool, str]:
+    """claim_pending_tasks：第一次拿 N 个，第二次拿 0 个（被抢光）。"""
+    from db import repository as repo
+
+    conn = _make_conn()
+    try:
+        # 准备 5 份合同
+        for i in range(5):
+            conn.execute(
+                f"""INSERT INTO contracts
+                    (contract_id, employee_id, teacher_name, unit_id, unit_name,
+                     position, contract_type, contract_start, contract_end,
+                     trial_period_end, status)
+                    VALUES ('C{i}', 'T{i}', 'X', 'U{i}', 'Y', '', '',
+                            '2024-01-01', '2026-04-15', '2024-04-15', '可续聘')"""
+            )
+        conn.commit()
+        for i in range(5):
+            repo.enqueue_download_task(conn, f"C{i}", "platform_button")
+        conn.commit()
+
+        first = repo.claim_pending_tasks(conn, limit=5)
+        if len(first) != 5:
+            return False, f"第一次领到 {len(first)} (want 5)"
+        # claim 返回的 Row 是查询时刻的快照（UPDATE 在 fetchall 之后才发）；
+        # 重新查 DB 验证 status 已变 running
+        for t in first:
+            cur = conn.execute(
+                "SELECT status FROM download_tasks WHERE task_id = ?",
+                (t["task_id"],),
+            ).fetchone()
+            if cur["status"] != "running":
+                return False, f"task {t['task_id']} DB status={cur['status']} (want running)"
+
+        second = repo.claim_pending_tasks(conn, limit=5)
+        if len(second) != 0:
+            return False, f"第二次领到 {len(second)} (want 0)"
+        return True, "claim 原子：5+0"
+    finally:
+        conn.close()
+
+
+def test_download_tasks_mark_success_and_failed() -> tuple[bool, str]:
+    """mark_success: status=success + result_path; mark_failed 计数 + 重试状态切换。"""
+    from db import repository as repo
+
+    conn = _make_conn()
+    try:
+        conn.execute(
+            """INSERT INTO contracts
+               (contract_id, employee_id, teacher_name, unit_id, unit_name,
+                position, contract_type, contract_start, contract_end,
+                trial_period_end, status)
+               VALUES ('C200', 'T200', 'X', 'U1', 'Y', '', '', '2024-01-01',
+                       '2026-04-15', '2024-04-15', '可续聘')"""
+        )
+        conn.commit()
+        t = repo.enqueue_download_task(conn, "C200", "platform_button")
+
+        # 1. 标记 success
+        repo.mark_task_success(conn, t, "sandbox://hr/contracts/C200")
+        conn.commit()
+        row = conn.execute(
+            "SELECT status, result_path FROM download_tasks WHERE task_id = ?", (t,)
+        ).fetchone()
+        if row["status"] != "success":
+            return False, f"success 后 status={row['status']}"
+        if row["result_path"] != "sandbox://hr/contracts/C200":
+            return False, f"result_path={row['result_path']}"
+
+        # 2. 失败 ≤ max_attempts：status 回退 pending
+        t2 = repo.enqueue_download_task(conn, "C200", "platform_button_v2")
+        repo.mark_task_failed(conn, t2, "first attempt failed")
+        conn.commit()
+        row2 = conn.execute(
+            "SELECT status, attempts FROM download_tasks WHERE task_id = ?", (t2,)
+        ).fetchone()
+        if row2["status"] != "pending":
+            return False, f"第 1 次失败应 pending，实际 {row2['status']}"
+        if row2["attempts"] != 1:
+            return False, f"attempts={row2['attempts']} (want 1)"
+
+        # 3. 失败 ≥ max_attempts：status=failed
+        repo.mark_task_failed(conn, t2, "second attempt failed")
+        repo.mark_task_failed(conn, t2, "third attempt failed")
+        conn.commit()
+        row3 = conn.execute(
+            "SELECT status, attempts FROM download_tasks WHERE task_id = ?", (t2,)
+        ).fetchone()
+        if row3["status"] != "failed":
+            return False, f"第 3 次失败应 failed，实际 {row3['status']}"
+        return True, "mark_success/mark_failed 全 OK"
+    finally:
+        conn.close()
+
+
+def test_download_tasks_count_by_status() -> tuple[bool, str]:
+    """count_tasks_by_status 返回 {pending: N, success: M, ...}。"""
+    from db import repository as repo
+
+    conn = _make_conn()
+    try:
+        for i in range(3):
+            conn.execute(
+                f"""INSERT INTO contracts
+                    (contract_id, employee_id, teacher_name, unit_id, unit_name,
+                     position, contract_type, contract_start, contract_end,
+                     trial_period_end, status)
+                    VALUES ('CT{i}', 'T{i}', 'X', 'U{i}', 'Y', '', '',
+                            '2024-01-01', '2026-04-15', '2024-04-15', '可续聘')"""
+            )
+        conn.commit()
+
+        t0 = repo.enqueue_download_task(conn, "CT0", "platform_button")
+        t1 = repo.enqueue_download_task(conn, "CT1", "platform_button")
+        repo.enqueue_download_task(conn, "CT2", "platform_button")
+        conn.commit()
+
+        repo.mark_task_success(conn, t0, "x")
+        repo.mark_task_failed(conn, t1, "err")
+        # 再失败 2 次让 t1 进 failed
+        repo.mark_task_failed(conn, t1, "err")
+        repo.mark_task_failed(conn, t1, "err")
+        conn.commit()
+
+        counts = repo.count_tasks_by_status(conn)
+        if counts.get("success", 0) < 1:
+            return False, f"success 计数 < 1: {counts}"
+        if counts.get("failed", 0) < 1:
+            return False, f"failed 计数 < 1: {counts}"
+        if counts.get("pending", 0) < 1:
+            return False, f"pending 计数 < 1: {counts}"
+        return True, f"counts={counts}"
+    finally:
+        conn.close()
+
+
+# ---------- v1.1.18: show-config / logs-list ----------
+
+
+def _isolated_env_file(tmp_env_path: Path) -> None:
+    """把 .env 路径重定向到 tmpdir；不影响其他 env。"""
+    import util.runtime_paths as rp
+
+    # runtime_paths.get_env_path() 总是返回 get_skill_root() / ".env"
+    # 这里通过 monkey-patch 函数对象实现隔离
+    rp.get_env_path = lambda: tmp_env_path  # type: ignore[assignment]
+
+
+def test_show_config_masks_tokens() -> tuple[bool, str]:
+    """含 TOKEN 的 key 自动脱敏。"""
+    import tempfile
+    from pathlib import Path
+    tmp = Path(tempfile.mkdtemp(prefix="alert-hr-config-"))
+    env_path = tmp / ".env"
+    env_path.write_text(
+        "WECOM_API_TOKEN=abc123def456\n"
+        "HR_API_TOKEN=xx\n"
+        "LOG_LEVEL=INFO\n",
+        encoding="utf-8",
+    )
+
+    import service.config_viewer as cv
+    orig_get_env_path = cv.get_env_path
+    cv.get_env_path = lambda: env_path  # type: ignore[assignment]
+    try:
+        result = cv.read_env_config()
+        cfg = result["config"]
+        if cfg.get("WECOM_API_TOKEN") != "ab***56":
+            return False, f"WECOM_API_TOKEN={cfg.get('WECOM_API_TOKEN')} (want ab***56)"
+        if cfg.get("HR_API_TOKEN") != "***":
+            return False, f"HR_API_TOKEN={cfg.get('HR_API_TOKEN')} (want *** for ≤4 chars)"
+        if cfg.get("LOG_LEVEL") != "INFO":
+            return False, f"LOG_LEVEL={cfg.get('LOG_LEVEL')} (want INFO)"
+        return True, "tokens masked OK"
+    finally:
+        cv.get_env_path = orig_get_env_path  # type: ignore[assignment]
+        shutil.rmtree(tmp, ignore_errors=True)
+
+
+def test_show_config_skips_empty() -> tuple[bool, str]:
+    """.env 中空 value 的 key 不出现在 config 中。"""
+    import tempfile
+    from pathlib import Path
+    tmp = Path(tempfile.mkdtemp(prefix="alert-hr-config-"))
+    env_path = tmp / ".env"
+    env_path.write_text(
+        "DB_PATH=\nLOG_LEVEL=INFO\n", encoding="utf-8",
+    )
+
+    import service.config_viewer as cv
+    orig = cv.get_env_path
+    cv.get_env_path = lambda: env_path  # type: ignore[assignment]
+    try:
+        cfg = cv.read_env_config()["config"]
+        if "DB_PATH" in cfg:
+            return False, f"DB_PATH 应该跳过，仍在 cfg: {cfg}"
+        if cfg.get("LOG_LEVEL") != "INFO":
+            return False, f"LOG_LEVEL={cfg.get('LOG_LEVEL')}"
+        return True, "空 value 跳过 OK"
+    finally:
+        cv.get_env_path = orig  # type: ignore[assignment]
+        shutil.rmtree(tmp, ignore_errors=True)
+
+
+def test_show_config_skips_comments() -> tuple[bool, str]:
+    """# 注释行不计入 config。"""
+    import tempfile
+    from pathlib import Path
+    tmp = Path(tempfile.mkdtemp(prefix="alert-hr-config-"))
+    env_path = tmp / ".env"
+    env_path.write_text(
+        "# 这是注释\n"
+        "  # 也是注释\n"
+        "LOG_LEVEL=INFO\n",
+        encoding="utf-8",
+    )
+
+    import service.config_viewer as cv
+    orig = cv.get_env_path
+    cv.get_env_path = lambda: env_path  # type: ignore[assignment]
+    try:
+        cfg = cv.read_env_config()["config"]
+        if len(cfg) != 1 or "LOG_LEVEL" not in cfg:
+            return False, f"应仅 1 项 LOG_LEVEL，实际 {list(cfg.keys())}"
+        return True, "注释跳过 OK"
+    finally:
+        cv.get_env_path = orig  # type: ignore[assignment]
+        shutil.rmtree(tmp, ignore_errors=True)
+
+
+def test_show_config_handles_quotes() -> tuple[bool, str]:
+    """.env 中带双引号/单引号的值自动去引号。"""
+    import tempfile
+    from pathlib import Path
+    tmp = Path(tempfile.mkdtemp(prefix="alert-hr-config-"))
+    env_path = tmp / ".env"
+    env_path.write_text(
+        'HR_API_BASE_URL="https://hr.example.edu/api/v1"\n'
+        "GREETING='hello world'\n"
+        "NOTE=no_quotes\n",
+        encoding="utf-8",
+    )
+
+    import service.config_viewer as cv
+    orig = cv.get_env_path
+    cv.get_env_path = lambda: env_path  # type: ignore[assignment]
+    try:
+        cfg = cv.read_env_config()["config"]
+        if cfg.get("HR_API_BASE_URL") != "https://hr.example.edu/api/v1":
+            return False, f"双引号未去: {cfg.get('HR_API_BASE_URL')}"
+        if cfg.get("GREETING") != "hello world":
+            return False, f"单引号未去: {cfg.get('GREETING')}"
+        if cfg.get("NOTE") != "no_quotes":
+            return False, f"无引号: {cfg.get('NOTE')}"
+        return True, "引号处理 OK"
+    finally:
+        cv.get_env_path = orig  # type: ignore[assignment]
+        shutil.rmtree(tmp, ignore_errors=True)
+
+
+def test_logs_viewer_nonexistent_file() -> tuple[bool, str]:
+    """日志文件不存在时，返回 exists=False，lines=[]。"""
+    import tempfile
+    from pathlib import Path
+    tmp = Path(tempfile.mkdtemp(prefix="alert-hr-logs-"))
+    fake_log = tmp / "no-such-file.log"
+
+    os.environ["LOG_FILE"] = str(fake_log)
+    try:
+        from service.logs_viewer import tail_log_file
+        result = tail_log_file(tail=50)
+        if result["exists"]:
+            return False, "exists 应为 False"
+        if result["lines"]:
+            return False, f"lines 应为空: {result['lines']}"
+        if result["returned_lines"] != 0:
+            return False, f"returned_lines={result['returned_lines']}"
+        return True, "non-existent file OK"
+    finally:
+        os.environ.pop("LOG_FILE", None)
+        shutil.rmtree(tmp, ignore_errors=True)
+
+
+def test_logs_viewer_tail_and_filter() -> tuple[bool, str]:
+    """tail + level 过滤：INFO 默认只显示 INFO/WARNING/ERROR。"""
+    import tempfile
+    from pathlib import Path
+    tmp = Path(tempfile.mkdtemp(prefix="alert-hr-logs-"))
+    log_path = tmp / "tail-test.log"
+    lines: list[str] = []
+    for i in range(300):
+        if i % 3 == 0:
+            lines.append(f"2026-09-15 12:34:5{i%10} [alert-contract-expiring-hr] INFO 第{i}条")
+        elif i % 3 == 1:
+            lines.append(f"2026-09-15 12:34:5{i%10} [alert-contract-expiring-hr] WARNING 第{i}条")
+        else:
+            lines.append(f"2026-09-15 12:34:5{i%10} [alert-contract-expiring-hr] DEBUG 第{i}条")
+    log_path.write_text("\n".join(lines), encoding="utf-8")
+
+    os.environ["LOG_FILE"] = str(log_path)
+    try:
+        from service.logs_viewer import tail_log_file
+        # INFO+：最后 50 行中含 INFO + WARNING，去掉 DEBUG
+        # 300 行每 3 行一循环：i%3==0 INFO, i%3==1 WARN, i%3==2 DEBUG
+        # 最后 50 行是 i=250..299：第 250=INFO 251=WARN 252=DEBUG ... 共 50 行
+        # 分布：i%3==0 → 17 (250, 253, ..., 299 但 299%3=0)... 实际 250..299 中 i%3==0 有 17 个
+        result_info = tail_log_file(tail=50, min_level="INFO")
+        if result_info["returned_lines"] != 33:
+            return False, f"INFO+ returned_lines={result_info['returned_lines']} (want 33)"
+        if any(" DEBUG " in ln for ln in result_info["lines"]):
+            return False, "INFO 过滤应排除 DEBUG 行"
+
+        # WARNING+：仅 WARNING
+        result_warn = tail_log_file(tail=50, min_level="WARNING")
+        if result_warn["returned_lines"] != 17:
+            return False, f"WARNING+ returned_lines={result_warn['returned_lines']} (want 17)"
+        if not all(" WARNING " in ln for ln in result_warn["lines"]):
+            return False, "WARNING 过滤应只剩 WARNING 行"
+
+        # DEBUG：全部 50 行都返回
+        result_debug = tail_log_file(tail=50, min_level="DEBUG")
+        if result_debug["returned_lines"] != 50:
+            return False, f"DEBUG returned_lines={result_debug['returned_lines']} (want 50)"
+        return True, f"tail+filter OK: DEBUG+={result_debug['returned_lines']}, INFO+={result_info['returned_lines']}, WARN+={result_warn['returned_lines']}"
+    finally:
+        os.environ.pop("LOG_FILE", None)
+        shutil.rmtree(tmp, ignore_errors=True)
+
+
+def test_logs_viewer_resolves_relative_path() -> tuple[bool, str]:
+    """LOG_FILE 设相对路径时，解析到 get_logs_dir() 下。"""
+    from util.runtime_paths import get_logs_dir
+    os.environ["LOG_FILE"] = "relative-test.log"
+    os.environ.pop("JIANGCHANG_LOGS_DIR", None)
+    try:
+        from service.logs_viewer import _resolve_log_path
+        got = _resolve_log_path()
+        expected = get_logs_dir() / "relative-test.log"
+        if got != expected:
+            return False, f"_resolve_log_path={got} (want {expected})"
+        return True, f"resolved to {got}"
+    finally:
+        os.environ.pop("LOG_FILE", None)
+
+
 # ---------- 入口 ----------
 
 def main() -> int:
@@ -785,6 +1445,25 @@ def main() -> int:
     _run("platform_collector/parse_days_positive",    test_parse_days_positive)
     _run("platform_collector/parse_days_negative",    test_parse_days_negative)
     _run("platform_collector/parse_alert_levels",     test_parse_alert_red_orange_yellow_unknown)
+    _run("logging/rotating_file_handler",             test_logging_rotating_file_handler)
+    _run("logging/fallback_when_log_file_unset",      test_logging_fallback_when_log_file_unset)
+    _run("logging/level_env",                         test_logging_level_env)
+    _run("logging/logs_dir_default",                  test_logs_dir_default_under_data)
+    _run("importer/contracts_csv_upsert",             test_importer_contracts_csv_upsert)
+    _run("importer/materials_pdf_enqueue",            test_importer_materials_pdf_enqueue)
+    _run("importer/idempotent",                       test_importer_idempotent)
+    _run("importer/empty_input_dir",                  test_importer_empty_input_dir)
+    _run("download_tasks/enqueue_idempotent",         test_download_tasks_enqueue_idempotent)
+    _run("download_tasks/claim_atomic",               test_download_tasks_claim_atomic)
+    _run("download_tasks/mark_success_and_failed",    test_download_tasks_mark_success_and_failed)
+    _run("download_tasks/count_by_status",            test_download_tasks_count_by_status)
+    _run("show_config/masks_tokens",                  test_show_config_masks_tokens)
+    _run("show_config/skips_empty",                   test_show_config_skips_empty)
+    _run("show_config/skips_comments",                test_show_config_skips_comments)
+    _run("show_config/handles_quotes",                test_show_config_handles_quotes)
+    _run("logs_viewer/nonexistent_file",              test_logs_viewer_nonexistent_file)
+    _run("logs_viewer/tail_and_filter",               test_logs_viewer_tail_and_filter)
+    _run("logs_viewer/resolves_relative_path",        test_logs_viewer_resolves_relative_path)
 
     total = len(_RESULTS)
     passed = sum(1 for _, ok, _ in _RESULTS if ok)