155 lines
6.1 KiB
Python
155 lines
6.1 KiB
Python
# -*- coding: utf-8 -*-
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"""
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统一写库流水线：抓取 → 清洗 → 去重 → 映射到前端库字段 → 更新表 → 通知
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与 server/README.md 第五节「爬虫侧写库链路」一致，供 main.py 与 realtime_conflict_service 共用。
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"""
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import os
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from datetime import datetime, timezone
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from typing import Callable, Optional, Tuple
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from config import DB_PATH, API_BASE
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def _notify_api(api_base: str) -> bool:
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"""调用 Node API 触发立即广播"""
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try:
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import urllib.request
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token = os.environ.get("API_CRAWLER_TOKEN", "").strip()
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req = urllib.request.Request(
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f"{api_base.rstrip('/')}/api/crawler/notify",
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method="POST",
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headers={
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"Content-Type": "application/json",
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**({"X-Crawler-Token": token} if token else {}),
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},
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)
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with urllib.request.urlopen(req, timeout=5) as resp:
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return resp.status == 200
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except Exception as e:
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print(f" [warn] notify API failed: {e}")
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return False
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def _extract_and_merge(items: list, db_path: str) -> bool:
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"""AI 从新闻全文或标题+摘要中提取精确结构化数据，合并到 combat_losses / key_location 等表。"""
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if not items or not os.path.exists(db_path):
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return False
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try:
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from db_merge import merge
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use_dashscope = bool(os.environ.get("DASHSCOPE_API_KEY", "").strip())
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if use_dashscope:
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from extractor_dashscope import extract_from_news
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limit = 10
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elif os.environ.get("CLEANER_AI_DISABLED", "0") == "1":
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from extractor_rules import extract_from_news
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limit = 25
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else:
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from extractor_ai import extract_from_news
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limit = 10
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merged_any = False
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for it in items[:limit]:
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# 优先用正文（article_fetcher 抓取），否则用标题+摘要，供 AI 提取精确数字
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text = it.get("full_text") or ((it.get("title", "") or "") + " " + (it.get("summary", "") or ""))
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if len(text.strip()) < 20:
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continue
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pub = it.get("published")
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ts = None
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if pub:
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try:
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if isinstance(pub, str):
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pub_dt = datetime.fromisoformat(pub.replace("Z", "+00:00"))
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else:
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pub_dt = pub
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if pub_dt.tzinfo:
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pub_dt = pub_dt.astimezone(timezone.utc)
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ts = pub_dt.strftime("%Y-%m-%dT%H:%M:%S.000Z")
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except Exception:
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pass
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extracted = extract_from_news(text, timestamp=ts)
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if extracted and merge(extracted, db_path=db_path):
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merged_any = True
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return merged_any
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except Exception as e:
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print(f" [warn] AI 面板数据提取/合并: {e}")
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return False
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def run_full_pipeline(
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db_path: Optional[str] = None,
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api_base: Optional[str] = None,
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*,
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translate: bool = True,
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notify: bool = True,
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on_notify: Optional[Callable[[], None]] = None,
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) -> Tuple[int, int, int]:
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"""
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执行完整写库链路：
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1. 爬虫抓取实时数据
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2. AI 清洗（标题/摘要/分类）→ 有效数据
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3. 去重（news_content content_hash）→ 仅新项进入后续
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4. 有效数据映射到前端库字段（situation_update、news_content、combat_losses 等）
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5. 更新数据库表；若有更新则通知后端
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translate: 是否对标题/摘要做翻译（英→中）
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notify: 是否在流水线末尾调用 POST /api/crawler/notify
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on_notify: 若提供，在通知前调用（供 gdelt 服务做 GDELT 回填等）
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返回: (本轮抓取条数, 去重后新增资讯数, 写入 situation_update 条数)
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"""
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path = db_path or DB_PATH
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base = api_base or API_BASE
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from scrapers.rss_scraper import fetch_all
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from db_writer import write_updates
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from news_storage import save_and_dedup
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from cleaner_ai import clean_news_for_panel, ensure_category, ensure_severity
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# 1. 抓取
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items = fetch_all()
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if not items:
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return 0, 0, 0
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# 2. 清洗（标题/摘要/分类，符合面板 schema）
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if translate:
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from translate_utils import translate_to_chinese
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for it in items:
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raw_title = translate_to_chinese(it.get("title", "") or "")
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raw_summary = translate_to_chinese(it.get("summary", "") or it.get("title", ""))
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it["title"] = clean_news_for_panel(raw_title, max_len=80)
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it["summary"] = clean_news_for_panel(raw_summary or raw_title, max_len=120)
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else:
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for it in items:
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it["title"] = clean_news_for_panel(it.get("title", "") or "", max_len=80)
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it["summary"] = clean_news_for_panel(it.get("summary", "") or it.get("title", ""), max_len=120)
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for it in items:
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it["category"] = ensure_category(it.get("category", "other"))
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it["severity"] = ensure_severity(it.get("severity", "medium"))
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it["source"] = it.get("source") or "rss"
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# 3. 去重：落库 news_content，仅新项返回
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new_items, n_news = save_and_dedup(items, db_path=path)
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# 3.5 数据增强：为参与 AI 提取的条目抓取正文，便于从全文提取精确数据（伤亡、基地等）
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if new_items:
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try:
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from article_fetcher import enrich_item_with_body
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# 仅对前若干条抓取正文，避免单轮请求过多
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enrich_limit = int(os.environ.get("ARTICLE_FETCH_LIMIT", "10"))
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for it in new_items[:enrich_limit]:
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enrich_item_with_body(it)
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except Exception as e:
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print(f" [warn] 正文抓取: {e}")
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# 4. 映射到前端库字段并更新表
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n_panel = write_updates(new_items) if new_items else 0
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if new_items:
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_extract_and_merge(new_items, path)
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# 5. 通知（有新增时才通知；可选：先执行外部逻辑如 GDELT 回填，再通知）
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if on_notify:
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on_notify()
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if notify and (n_panel > 0 or n_news > 0):
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_notify_api(base)
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return len(items), n_news, n_panel
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