69 lines
2.1 KiB
Bash
Executable File
69 lines
2.1 KiB
Bash
Executable File
#!/bin/bash
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# =============================================
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# 国内服务器：全链路管道 M2 → M3 → M4 → M5 → M6 → 日报
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# =============================================
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# 用法：./scripts/pipeline.sh
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# 前提：domestic_sync.sh 已完成
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# =============================================
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set -euo pipefail
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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PROJECT_DIR="$(dirname "$SCRIPT_DIR")"
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cd "$PROJECT_DIR"
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echo "[$(date)] ═══ 全链路管道开始 ═══"
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# 加载 .env
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export $(grep -v '^#' .env | grep -v '^$' | xargs 2>/dev/null || true)
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# ── M2: 正文提取 ──
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echo "[$(date)] [M2] 正文提取..."
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.venv/bin/python3 -c "
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from extractor.pipeline import process_all_sources
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stats = process_all_sources()
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print(f'M2: {stats[\"total_articles\"]} 篇, {stats[\"elapsed_sec\"]:.0f}s')
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"
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# ── M3: 去重 ──
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echo "[$(date)] [M3] 三层去重..."
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.venv/bin/python3 -c "
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from dedup.pipeline import dedup_all_sources
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stats = dedup_all_sources()
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print(f'M3: 唯一 {stats[\"unique\"]}/重复 {stats[\"duplicate\"]}, {stats[\"elapsed_sec\"]:.0f}s')
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"
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# ── M4: 翻译+事件 ──
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echo "[$(date)] [M4] 翻译+事件抽取..."
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.venv/bin/python3 -c "
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from llm.pipeline import translate_all_deduped
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stats = translate_all_deduped()
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print(f'M4: {stats[\"success\"]}/{stats[\"total\"]} 篇, {stats[\"elapsed_sec\"]:.0f}s')
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"
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# ── M5: 向量生成 ──
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echo "[$(date)] [M5] 向量生成..."
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.venv/bin/python3 -c "
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from embedding.pipeline import embed_all_events
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stats = embed_all_events()
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print(f'M5: {stats[\"success\"]}/{stats[\"total\"]} 篇, {stats[\"elapsed_sec\"]:.0f}s')
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"
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# ── M6: Qdrant 入库 ──
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echo "[$(date)] [M6] Qdrant 入库..."
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.venv/bin/python3 -c "
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from vectorstore.pipeline import ingest_all_embeddings
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stats = ingest_all_embeddings()
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print(f'M6: {stats[\"ingested\"]}/{stats[\"total\"]} 条, {stats[\"elapsed_sec\"]:.0f}s')
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"
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# ── 日报 ──
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echo "[$(date)] [日报] 生成日报..."
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.venv/bin/python3 -c "
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from scheduler.reporter import generate_report
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path = generate_report()
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print(f'日报: {path}')
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"
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echo "[$(date)] ═══ 全链路管道完成 ✅ ═══"
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