taojianmin
a3b4092a30
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>
46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
"""技能标识、版本与阈值常量。
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复制到新 skill 时必须修改：
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- SKILL_SLUG 与 SKILL.md metadata.openclaw.slug 保持一致
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- SKILL_VERSION 与 SKILL.md version 保持一致
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"""
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SKILL_SLUG = "alert-contract-expiring-hr"
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SKILL_VERSION = "1.1.1"
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LOG_LOGGER_NAME = "openclaw.skill.alert_contract_expiring_hr"
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PLATFORM_KIT_MIN_VERSION = "1.2.11"
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# 预警阈值（黄/橙/红）：距到期日 <= yellow 天 = 黄色预警
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# 顺序：red < orange < yellow
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DEFAULT_THRESHOLDS = (90, 60, 30)
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# 预警等级名称（与 thresholds 顺序一一对应）
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ALERT_LEVELS = ("yellow", "orange", "red")
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ALERT_LEVEL_LABELS = {"yellow": "黄色", "orange": "橙色", "red": "红色"}
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# 续聘建议
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SUGGESTIONS = ("renew", "observe", "non_renew")
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SUGGESTION_LABELS = {
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"renew": "建议续聘",
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"observe": "常规续聘评审",
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"non_renew": "不建议续聘",
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}
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# 合同状态
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CONTRACT_STATUSES = ("可续聘", "预警中", "已续签", "已驳回", "已过期", "已撤回")
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# 续签材料清单
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DEFAULT_MATERIALS = [
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"近 3 年年度考核表（盖章）",
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"师德师风考评记录",
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"学历学位证书复印件",
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"岗位聘任登记表",
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"劳动合同文本（一式三份）",
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"个人述职报告（不少于 2000 字）",
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]
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# AI 续聘建议规则阈值
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MORAL_FAIL_THRESHOLD = 60 # 师德 < 60 直接 non_renew
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PERFORMANCE_FAIL_THRESHOLD = 60 # 单年考核 < 60 算不合格
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PERFORMANCE_RENEW_MIN = 80 # 全部 >= 80 且逐年上升 → renew
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