v1.1.1: 升级 AI 续聘建议为 LLM + Playwright RPA 采集 SmartCampus 平台材料

新增：

- scripts/service/platform_collector.py：Playwright RPA（持久化 browser profile 复用登录态），抓合同表（姓名/单位/到期日/剩余天数/预警/建议），逐行点"续聘材料包"按钮下载 PDF/Word 到 data/materials/

- scripts/service/material_parser.py：PDF/Word 文本提取（pypdf → pdf2image + pytesseract OCR 扫描件兜底；python-docx 抽 docx；antiword 兜底 .doc）

- scripts/service/llm_decision.py：AI 决策统一入口（优先调宿主 jiangchang_skill_core.llm_manager.call_llm_json；本地降级到规则版；输出 decision_source ∈ {llm, rules, rules_no_materials}）

- scripts/db/migrations.py：idempotent ALTER/CREATE，建 materials_content 表 + renewal_tasks 加 decision_source / materials_summary 列

修改：

- scripts/db/connection.py：init_db() 自动调 apply_all() 应用 v1.1.1 迁移

- scripts/db/repository.py：加 insert_material / list_materials_for_contract / list_pending_materials / summarize_materials / get_task_full

- scripts/service/task_generator.py：AI 决策统一改为调 llm_decision.decide_suggestion(materials_summary=...)；reason 文案加「已结合材料包（X 份文件，Y 字 / 待解析）综合判断：...」

- scripts/service/html_renderer.py：ctx 加 DECISION_SOURCE（LLM 推理 / 本地规则 / 本地规则（无材料））+ MATERIALS_COUNT

- scripts/templates/task.html.j2：footer 加 "AI 建议来源：{{DECISION_SOURCE}} · 已审阅材料 {{MATERIALS_COUNT}} 份"

- scripts/cli/app.py：新增 2 个 CLI（collect-from-platform / parse-materials）；现有 9 个不动

- requirements.txt：playwright / pypdf / python-docx / pdf2image / pytesseract / Pillow

- .env.example：SMARTCAMPUS_BASE_URL / SMARTCAMPUS_PROFILE_DIR / MATERIALS_DOWNLOAD_DIR / OCR_LANG / LLM_MODEL_NAME / LLM_API_BASE_URL / LLM_API_TOKEN

- SKILL.md：version 1.1.0 → 1.1.1；用户意图路由表加 2 行；新增「数据来源」段（三层来源 + AI 决策透明化）

- README.md：使用前要准备 → 加 playwright install chromium 步骤

- CHANGELOG.md：v1.1.1 条目

- scripts/util/constants.py：SKILL_VERSION 1.1.0 → 1.1.1

本地验证：11 个 CLI 全部 exit 0；decision_source=rules；reason 含「已结合材料包（6 份文件，待解析）」；HTML footer 含决策来源。

Co-Authored-By: Claude Code <noreply@anthropic.com>

scripts/db/connection.py

@@ -104,7 +104,7 @@ def get_connection(db_path: Path | None = None) -> sqlite3.Connection:
 
 
 def init_db(db_path: Path | None = None) -> dict[str, int]:
-    """建表 + 加载种子数据。返回表行数 dict。"""
+    """建表 + 加载种子数据 + 应用 v1.1.1 迁移。返回表行数 dict。"""
     ensure_dirs()
     conn = get_connection(db_path)
     try:
@@ -112,6 +112,12 @@ def init_db(db_path: Path | None = None) -> dict[str, int]:
             conn.execute(ddl)
         conn.commit()
 
+        # v1.1.1 增量迁移（幂等）
+        from db.migrations import apply_all
+
+        apply_all(conn)
+        conn.commit()
+
         # 加载种子（如果 contracts 表为空）
         from db.seed_data import load_seed_if_empty
 
@@ -124,6 +130,7 @@ def init_db(db_path: Path | None = None) -> dict[str, int]:
             "alerts": conn.execute("SELECT COUNT(*) AS n FROM alerts").fetchone()["n"],
             "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"],
         }
         return counts
     finally:
@@ -131,4 +138,7 @@ 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")
+    return (
+        "contracts", "performance_records", "alerts", "renewal_tasks",
+        "dispatch_log", "materials_content",
+    )