浅念
103 lines
4.6 KiB
Bash
103 lines
4.6 KiB
Bash
#!/bin/bash
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# FULL page-based re-sync: ALL channels, ALL entities — ZERO API calls, ZERO 风控
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cd "$(dirname "$0")/.."
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# DB_URL:外部已设则沿用(容器里由 docker-compose 注入 MySQL);本地默认 SQLite
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export DB_URL="${DB_URL:-sqlite+aiosqlite:///./smoke.db}"
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# 可移植 python:容器里 python 在 PATH;本地 Windows 用 venv 的解释器(2026-08-21 部署阻塞点#3)
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if [ -f ".venv/Scripts/python.exe" ]; then
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PY=".venv/Scripts/python.exe"
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else
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PY="python"
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fi
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echo "=============================================="
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echo "$(date) === FULL PAGE-BASED RE-SYNC (NO API) ==="
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echo "=============================================="
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echo "$(date) --- 1/10 WeChat accounts ---"
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$PY scripts/scrape_via_page.py --entity accounts
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echo "$(date) --- 2/10 WA accounts ---"
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$PY scripts/scrape_via_page.py --entity wa-accounts
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echo "$(date) --- 3/10 WeChat customers ---"
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$PY scripts/scrape_via_page.py --entity friends --max-employees 100
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echo "$(date) --- 4/10 WA customers ---"
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$PY scripts/scrape_via_page.py --entity wa-friends
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echo "$(date) --- 5/10 WeChat groups ---"
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$PY scripts/scrape_via_page.py --entity groups --max-employees 100
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echo "$(date) --- 5b/10 WA groups ---"
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$PY scripts/scrape_via_page.py --entity wa-groups
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echo "$(date) --- 6/10 Voice calls (WeChat + WA) ---"
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$PY scripts/scrape_via_page.py --entity voice-calls
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# 语音重扫会把 record_media_hash 覆盖回 None —— 必须紧跟录音重链接
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$PY -m app.sync.cli sync --entity call_recordings
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echo "$(date) --- 7/10 Voice clips ---"
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$PY scripts/scrape_via_page.py --entity voice-clips
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echo "$(date) --- 8/10 WeChat messages ---"
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$PY scripts/scrape_via_page.py --entity messages --max-conversations 99999
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echo "$(date) --- 8b/10 WeChat group messages + members ---"
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$PY scripts/scrape_via_page.py --entity group-messages --max-conversations 99999
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$PY -m scripts.backfill_group_members
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echo "$(date) --- 9/10 WA messages ---"
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$PY scripts/scrape_via_page.py --entity wa-messages --max-conversations 99999
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echo "$(date) --- 9b/10 WA group messages ---"
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$PY scripts/scrape_via_page.py --entity wa-group-messages --max-conversations 99999
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echo "$(date) --- 9c/10 Moments (员工朋友圈) ---"
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$PY scripts/scrape_via_page.py --entity moments
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echo "$(date) --- 10/10 Media download (audio+images) ---"
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$PY scripts/scrape_via_page.py --entity media
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# 11:会话日汇总全量重建(夜间自愈:绕过 upsert 钩子的写入由它纠正;
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# sessions/staff-chat-stats 读路径依赖此表,2026-09-03)
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echo "$(date) --- 11/12 Daily-stats rebuild ---"
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$PY -m app.sync.cli daily-stats
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# 12:员工×日汇总全量重建(rollup 层随 msg_daily_stats 重建同步自愈;
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# A1 员工指标读路径依赖此表,2026-09-04)
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echo "$(date) --- 12/12 Staff-daily-stats rebuild ---"
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$PY -m app.sync.cli staff-daily-stats
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echo "=============================================="
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echo "$(date) === FULL RE-SYNC COMPLETE ==="
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echo "=============================================="
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# 终局数据快照:走 app 引擎(DB_URL 可移植,SQLite/MySQL 通吃;原 sqlite3
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# 直连 smoke.db 的写法在服务器 MySQL 上会炸,2026-09-03 修)
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$PY - <<'PYEOF'
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import asyncio
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from sqlalchemy import text
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from sqlalchemy.ext.asyncio import create_async_engine
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from app.config import get_settings
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TABLES = [
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("wechat accounts", "SELECT COUNT(*) FROM wechat_account"),
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("whatsapp accounts", "SELECT COUNT(*) FROM whatsapp_account"),
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("wechat customers", "SELECT COUNT(*) FROM customer WHERE channel='wechat'"),
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("whatsapp customers", "SELECT COUNT(*) FROM customer WHERE channel='whatsapp'"),
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("wechat groups", "SELECT COUNT(*) FROM chat_group WHERE channel='wechat'"),
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("whatsapp groups", "SELECT COUNT(*) FROM chat_group WHERE channel='whatsapp'"),
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("wechat messages", "SELECT COUNT(*) FROM message WHERE channel='wechat'"),
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("whatsapp messages", "SELECT COUNT(*) FROM message WHERE channel='whatsapp'"),
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("daily stats rows", "SELECT COUNT(*) FROM msg_daily_stats"),
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("voice calls", "SELECT COUNT(*) FROM phone_call WHERE channel IN ('voice_call','wa_voice_call')"),
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("voice clips", "SELECT COUNT(*) FROM voice_clip"),
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("moments posts", "SELECT COUNT(*) FROM moments_post"),
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("media files", "SELECT COUNT(*) FROM media"),
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]
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async def main() -> None:
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engine = create_async_engine(get_settings().db_url)
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try:
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async with engine.connect() as conn:
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print()
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print("=== FINAL DATA SUMMARY ===")
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for label, sql in TABLES:
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n = (await conn.execute(text(sql))).scalar_one()
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print(f" {label:22s} {n:>6}")
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finally:
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await engine.dispose()
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asyncio.run(main())
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PYEOF
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