mzl92
e0d9c4e434
- 硬性预筛门槛: 外贸经验必须(仅工作经历匹配), 培养类拦截, 毕业2020-2026, 年龄<=35 - 七维评分+动态阈值+打招呼纪律 - Hermes每日自动化: daily-runner(09:30-18:00)/daily-report/enforce-cutoff/stop-tasks - v10.4: 每累计200人自动刷新页面 - 修正: CDP端口9222(反向隧道), 通知只发私聊(防串台), hr2任务禁用 - WSL端: cdp-tunnel.sh 浏览器工人守护
90 lines
3.0 KiB
Markdown
Executable File
90 lines
3.0 KiB
Markdown
Executable File
# 招聘数据库 Schema
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**路径：** `~/.hermes/data/recruitment/recruitment.db`
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**引擎：** SQLite 3（WAL 模式）
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**Node.js：** `better-sqlite3`
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**Python：** `sqlite3`（标准库）
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## candidates 表
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```sql
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CREATE TABLE candidates (
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id TEXT PRIMARY KEY, -- MD5(name|age|edu|exp|school)[:12]
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platform TEXT NOT NULL DEFAULT 'zhaopin',
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account TEXT NOT NULL DEFAULT 'hr1', -- v0.2 多账号：hr1/hr2
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name TEXT NOT NULL,
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age INTEGER,
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education TEXT, -- 本科/硕士/大专等
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experience TEXT, -- 原始文本如"3年经验"
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exp_years REAL, -- 数值化经验年数，便于筛选
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school TEXT,
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expected_city TEXT,
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expected_salary TEXT,
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activity TEXT DEFAULT '', -- 活跃度文本如"10分钟前有回复"
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role_tag TEXT DEFAULT '', -- 岗位推荐标签：有经验岗/应届生岗/不限
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score INTEGER, -- 7维度总分 7-35
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score_level TEXT, -- 推荐/待定/不推荐
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greeted INTEGER NOT NULL DEFAULT 0,
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greeted_at TEXT,
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raw_text TEXT, -- 完整简历原文
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education_detail TEXT,
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work_detail TEXT,
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cert_detail TEXT,
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card_info TEXT, -- 列表卡片原始信息 JSON
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score_details TEXT, -- 评分明细 JSON
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scraped_at TEXT,
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updated_at TEXT,
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notes TEXT DEFAULT '' -- 人工备注
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);
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```
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## greet_log 表
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```sql
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CREATE TABLE greet_log (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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candidate_id TEXT NOT NULL REFERENCES candidates(id),
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account TEXT NOT NULL DEFAULT 'hr1', -- v0.2 多账号：hr1/hr2
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action TEXT NOT NULL, -- 'greet'
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result TEXT, -- 'success' / 'button_not_found' / ...
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created_at TEXT NOT NULL DEFAULT (datetime('now','localtime'))
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);
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```
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## scrape_log 表
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```sql
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CREATE TABLE scrape_log (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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mode TEXT, -- 'full' / 'incremental'
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target_count INTEGER,
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new_count INTEGER,
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skip_count INTEGER,
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greet_count INTEGER,
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error_count INTEGER,
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created_at TEXT NOT NULL DEFAULT (datetime('now','localtime'))
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);
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```
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## 常用查询
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```sql
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-- 推荐人员
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SELECT name, age, education, school, score, greeted
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FROM candidates WHERE score_level = '推荐' ORDER BY score DESC;
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-- 未打招呼的推荐/待定
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SELECT name, score, score_level, school
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FROM candidates WHERE score_level IN ('推荐','待定') AND greeted = 0;
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-- 评分分布
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SELECT score_level, COUNT(*) FROM candidates GROUP BY score_level;
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-- 最近抓取的10人
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SELECT name, score, score_level, scraped_at
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FROM candidates ORDER BY scraped_at DESC LIMIT 10;
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-- 打招呼成功率
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SELECT action, result, COUNT(*) FROM greet_log GROUP BY action, result;
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```
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