taojianmin
06c053d7d7
新增（scripts/ 分层完整实现）：
- scripts/util/{constants,date_util,runtime_paths,logging_setup}.py
- scripts/db/{connection,seed_data,repository}.py（SQLite + 5 张表 + 50 份样例合同）
- scripts/service/{scanner,task_generator,dispatcher,html_renderer}.py
- scripts/cli/app.py（argparse 子命令）
- scripts/templates/task.html.j2（Jinja2 渲染，无 jinja2 时降级到 str.replace）
- examples/{contracts_sample,performance_sample}.csv（本地样例数据）
修改：
- scripts/main.py：argparse + jiangchang_skill_core 降级
- SKILL.md：version 1.0.1 → 1.1.0
- CHANGELOG.md：加 v1.1.0 条目
- .env.example：加 DB_PATH / HTML_OUTPUT_DIR / JIANGCHANG_DATA_DIR
本地验证（9 个 CLI 命令全部 exit code = 0）：
- health / version / config-path / init-db：基础 4 命令
- scan-expiring-contracts --thresholds 90,60,30：42 份可续聘 → 红 10 / 橙 10 / 黄 10，生成 30 任务
- render-html：写 output/<task_id>.html（4.9 KB）
- generate-renewal-task：单份合同任务书生成
- mark-contract-renewed：状态机更新 + 关闭 open alerts
- dispatch-task-notice：按单位/月份派发 payload（dry-run 模式）
业务规则（AI 续聘建议本地版，规则顺序判断）：
1. 师德 < 60 → non_renew
2. 近 3 年考核有不合格（< 60）→ observe
3. 全部 >= 80 且逐年上升 → renew
4. 其他 → observe
Co-Authored-By: Claude Code <noreply@anthropic.com>
54 lines
1.5 KiB
Python
54 lines
1.5 KiB
Python
"""logging 配置：降级到 stderr，避免污染 stdout（stdout 留给结构化输出如 JSON）。
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优先用 jiangchang_skill_core 提供的 logging；本地无该包时降级到 stderr。
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"""
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from __future__ import annotations
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import logging
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import sys
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from util.constants import LOG_LOGGER_NAME, SKILL_SLUG, SKILL_VERSION
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_configured = False
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def setup_skill_logging() -> logging.Logger:
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"""初始化 skill logger（幂等）。"""
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global _configured
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logger = logging.getLogger(LOG_LOGGER_NAME)
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if _configured:
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return logger
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# 优先用宿主提供的 skill logger 配置
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try:
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from jiangchang_skill_core.logging_config import setup_skill_logging as _host_setup
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_host_setup(SKILL_SLUG, LOG_LOGGER_NAME)
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_configured = True
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return logging.getLogger(LOG_LOGGER_NAME)
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except ImportError:
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pass
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# 本地降级：基础 stderr handler，UTF-8 safe
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handler = logging.StreamHandler(sys.stderr)
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handler.setFormatter(
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logging.Formatter(
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fmt=f"%(asctime)s [{SKILL_SLUG}] %(levelname)s %(message)s",
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datefmt="%Y-%m-%d %H:%M:%S",
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)
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)
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logger.setLevel(logging.INFO)
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logger.addHandler(handler)
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logger.propagate = False
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_configured = True
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logger.info("logging initialized (local fallback) v%s", SKILL_VERSION)
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return logger
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def get_skill_logger() -> logging.Logger:
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"""获取 skill logger（不会重复 setup）。"""
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if not _configured:
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return setup_skill_logging()
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return logging.getLogger(LOG_LOGGER_NAME)
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