482 lines
17 KiB
Python
482 lines
17 KiB
Python
"""GDELT Doc API ingestion utilities built on top of gdeltdoc."""
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from __future__ import annotations
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import hashlib
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import re
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import sqlite3
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from dataclasses import dataclass, field, replace
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from datetime import date, datetime, timedelta, timezone
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from typing import Dict, Iterable, List, Optional, Sequence, Union
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try: # pragma: no cover - optional dependency
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from gdeltdoc import GdeltDoc, Filters # type: ignore[import-not-found]
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except ImportError: # pragma: no cover - optional dependency
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GdeltDoc = None # type: ignore[assignment]
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Filters = None # type: ignore[assignment]
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from app.utils.config import get_config
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from app.utils.db import db_session
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from app.utils.logging import get_logger
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from . import rss as rss_ingest
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LOGGER = get_logger(__name__)
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LOG_EXTRA = {"stage": "gdelt_ingest"}
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DateLike = Union[date, datetime]
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_LANGUAGE_CANONICAL: Dict[str, str] = {
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"en": "en",
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"eng": "en",
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"english": "en",
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"zh": "zh",
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"zho": "zh",
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"zh-cn": "zh",
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"zh-hans": "zh",
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"zh-hant": "zh",
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"zh_tw": "zh",
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"chinese": "zh",
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}
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_LAST_INGEST_STATS: Dict[str, int] = {"fetched": 0, "deduped": 0, "inserted": 0}
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@dataclass
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class GdeltSourceConfig:
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"""Configuration describing a single GDELT filter set."""
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key: str
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label: str
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filters: Dict[str, object] = field(default_factory=dict)
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ts_codes: Sequence[str] = field(default_factory=tuple)
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keywords: Sequence[str] = field(default_factory=tuple)
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num_records: int = 50
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def resolve_gdelt_sources() -> List[GdeltSourceConfig]:
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"""Resolve configured GDELT filter groups."""
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cfg = get_config()
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raw = getattr(cfg, "gdelt_sources", None) or {}
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sources: List[GdeltSourceConfig] = []
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if isinstance(raw, dict):
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for key, data in raw.items():
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if not isinstance(data, dict):
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continue
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if not data.get("enabled", True):
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continue
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label = str(data.get("label") or key)
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filters = data.get("filters") if isinstance(data.get("filters"), dict) else {}
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ts_codes = [
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str(code).strip().upper()
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for code in data.get("ts_codes", [])
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if isinstance(code, str) and code.strip()
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]
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keywords = [
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str(token).strip()
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for token in data.get("keywords", [])
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if isinstance(token, str) and token.strip()
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]
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num_records = data.get("num_records")
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if not isinstance(num_records, int) or num_records <= 0:
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num_records = 50
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sources.append(
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GdeltSourceConfig(
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key=str(key),
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label=label,
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filters=dict(filters),
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ts_codes=tuple(ts_codes),
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keywords=tuple(keywords),
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num_records=num_records,
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)
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)
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return sources
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def _ensure_datetime(value: DateLike, *, start_of_day: bool = True) -> datetime:
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if isinstance(value, datetime):
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return _normalize_timestamp(value)
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if start_of_day:
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return datetime.combine(value, datetime.min.time())
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return datetime.combine(value, datetime.max.time())
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def _normalize_timestamp(value: datetime) -> datetime:
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if value.tzinfo is not None:
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return value.astimezone(timezone.utc).replace(tzinfo=None)
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return value
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def _load_last_published(source_key: str) -> Optional[datetime]:
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try:
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with db_session(read_only=True) as conn:
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row = conn.execute(
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"SELECT last_published FROM ingest_state WHERE source = ?",
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(source_key,),
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).fetchone()
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except sqlite3.OperationalError:
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return None
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if not row:
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return None
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raw = row["last_published"]
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if not raw:
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return None
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try:
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return _normalize_timestamp(datetime.fromisoformat(raw))
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except ValueError:
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LOGGER.debug("无法解析 GDELT 状态时间 source=%s value=%s", source_key, raw, extra=LOG_EXTRA)
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return None
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def _save_last_published(source_key: str, published: datetime) -> None:
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timestamp = _normalize_timestamp(published).isoformat()
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try:
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with db_session() as conn:
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conn.execute(
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"""
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INSERT INTO ingest_state (source, last_published)
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VALUES (?, ?)
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ON CONFLICT(source) DO UPDATE SET last_published = excluded.last_published
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""",
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(source_key, timestamp),
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)
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except sqlite3.OperationalError:
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LOGGER.debug("写入 ingest_state 失败，表可能不存在", extra=LOG_EXTRA)
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def _parse_gdelt_datetime(raw: object) -> datetime:
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if isinstance(raw, datetime):
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return _normalize_timestamp(raw)
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if raw is None:
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return _normalize_timestamp(datetime.utcnow())
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text = str(raw).strip()
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if not text:
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return _normalize_timestamp(datetime.utcnow())
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# Common GDELT formats: YYYYMMDDHHMMSS or ISO8601
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try:
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if text.isdigit() and len(text) == 14:
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return _normalize_timestamp(datetime.strptime(text, "%Y%m%d%H%M%S"))
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if text.endswith("Z"):
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text = text[:-1] + "+00:00"
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return _normalize_timestamp(datetime.fromisoformat(text))
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except ValueError:
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pass
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try:
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return _normalize_timestamp(datetime.strptime(text, "%Y-%m-%d %H:%M:%S"))
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except ValueError:
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LOGGER.debug("无法解析 GDELT 日期：%s", text, extra=LOG_EXTRA)
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return _normalize_timestamp(datetime.utcnow())
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def _build_rss_item(record: Dict[str, object], config: GdeltSourceConfig) -> Optional[rss_ingest.RssItem]:
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url = record.get("url") or record.get("url_mobile")
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if not isinstance(url, str) or not url.strip():
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return None
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url = url.strip()
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title = record.get("title") or record.get("seendate")
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if not isinstance(title, str) or not title.strip():
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title = url
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title = title.strip()
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published_raw = (
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record.get("seendate")
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or record.get("publishDate")
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or record.get("date")
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or record.get("firstseendate")
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)
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published = _parse_gdelt_datetime(published_raw)
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summary_candidates: Iterable[object] = (
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record.get("summary"),
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record.get("snippet"),
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record.get("excerpt"),
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record.get("altText"),
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record.get("domain"),
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)
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summary = ""
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for candidate in summary_candidates:
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if isinstance(candidate, str) and candidate.strip():
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summary = candidate.strip()
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break
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if not summary:
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source_country = record.get("sourcecountry")
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language = record.get("language")
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details = [
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str(value).strip()
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for value in (source_country, language)
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if isinstance(value, str) and value.strip()
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]
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summary = " / ".join(details) if details else title
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source = record.get("sourcecommonname") or record.get("domain")
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if not isinstance(source, str) or not source.strip():
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source = config.label or "GDELT"
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source = source.strip()
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fingerprint = f"{url}|{published.isoformat()}"
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article_id = hashlib.blake2s(fingerprint.encode("utf-8"), digest_size=16).hexdigest()
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return rss_ingest.RssItem(
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id=article_id,
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title=title,
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link=url,
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published=published,
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summary=summary,
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source=source,
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metadata={
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"source_key": config.key,
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"source_label": config.label,
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},
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)
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def fetch_gdelt_articles(
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config: GdeltSourceConfig,
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*,
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start: Optional[datetime] = None,
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end: Optional[datetime] = None,
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) -> List[rss_ingest.RssItem]:
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"""Fetch article list from GDELT based on the supplied configuration."""
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if GdeltDoc is None or Filters is None:
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LOGGER.warning("未安装 gdeltdoc，跳过 GDELT 拉取", extra=LOG_EXTRA)
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return []
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base_filters = dict(config.filters)
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base_filters.setdefault("num_records", config.num_records)
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original_timespan = base_filters.get("timespan")
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filters_kwargs = dict(base_filters)
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def _strip_quotes(token: str) -> str:
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stripped = token.strip()
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if (stripped.startswith('"') and stripped.endswith('"')) or (stripped.startswith("'") and stripped.endswith("'")):
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return stripped[1:-1].strip()
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return stripped
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def _normalize_keywords(value: object) -> object:
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if isinstance(value, str):
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parts = [part.strip() for part in re.split(r"\s+OR\s+", value) if part.strip()]
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if len(parts) <= 1:
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return _strip_quotes(value)
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normalized = [_strip_quotes(part) for part in parts]
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return normalized
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if isinstance(value, (list, tuple, set)):
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normalized = [_strip_quotes(str(item)) for item in value if str(item).strip()]
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return normalized
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return value
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def _sanitize(filters: Dict[str, object]) -> Dict[str, object]:
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cleaned = dict(filters)
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def _normalise_sequence_field(field: str, mapping: Optional[Dict[str, str]] = None) -> None:
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value = cleaned.get(field)
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if isinstance(value, (list, tuple, set)):
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items: List[str] = []
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for token in value:
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if not token:
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continue
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token_str = str(token).strip()
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if not token_str:
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continue
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mapped = mapping.get(token_str.lower(), token_str) if mapping else token_str
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if mapped not in items:
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items.append(mapped)
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if not items:
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cleaned.pop(field, None)
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elif len(items) == 1:
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cleaned[field] = items[0]
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else:
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cleaned[field] = items
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elif isinstance(value, str):
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stripped = value.strip()
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if not stripped:
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cleaned.pop(field, None)
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elif mapping:
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cleaned[field] = mapping.get(stripped.lower(), stripped)
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else:
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cleaned[field] = stripped
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elif value is None:
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cleaned.pop(field, None)
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_normalise_sequence_field("language", _LANGUAGE_CANONICAL)
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_normalise_sequence_field("country")
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_normalise_sequence_field("domain")
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_normalise_sequence_field("domain_exact")
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keyword_value = cleaned.get("keyword")
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if keyword_value is not None:
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normalized_keyword = _normalize_keywords(keyword_value)
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if isinstance(normalized_keyword, list):
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if not normalized_keyword:
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cleaned.pop("keyword", None)
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elif len(normalized_keyword) == 1:
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cleaned["keyword"] = normalized_keyword[0]
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else:
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cleaned["keyword"] = normalized_keyword
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elif isinstance(normalized_keyword, str):
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cleaned["keyword"] = normalized_keyword
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else:
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cleaned.pop("keyword", None)
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return cleaned
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if start or end:
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filters_kwargs.pop("timespan", None)
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if start:
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filters_kwargs["start_date"] = start
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if end:
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filters_kwargs["end_date"] = end
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filters_kwargs = _sanitize(filters_kwargs)
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client = GdeltDoc()
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def _run_query(kwargs: Dict[str, object]) -> Optional[pd.DataFrame]:
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try:
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filter_obj = Filters(**kwargs)
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except Exception as exc: # noqa: BLE001
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LOGGER.error("GDELT 过滤器解析失败 key=%s err=%s", config.key, exc, extra=LOG_EXTRA)
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return None
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try:
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return client.article_search(filter_obj)
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except Exception as exc: # noqa: BLE001
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message = str(exc)
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if "Invalid/Unsupported Language" in message and kwargs.get("language"):
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LOGGER.warning(
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"GDELT 语言过滤不被支持，移除后重试 key=%s languages=%s",
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config.key,
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kwargs.get("language"),
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extra=LOG_EXTRA,
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)
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retry_kwargs = dict(kwargs)
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retry_kwargs.pop("language", None)
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return _run_query(retry_kwargs)
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LOGGER.warning("GDELT 请求失败 key=%s err=%s", config.key, exc, extra=LOG_EXTRA)
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return None
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df = _run_query(filters_kwargs)
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if df is None or df.empty:
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if (start or end) and original_timespan:
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fallback_kwargs = dict(base_filters)
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fallback_kwargs["timespan"] = original_timespan
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fallback_kwargs.pop("start_date", None)
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fallback_kwargs.pop("end_date", None)
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fallback_kwargs = _sanitize(fallback_kwargs)
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LOGGER.info(
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"GDELT 无匹配结果，尝试使用 timespan 回退 key=%s timespan=%s",
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config.key,
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original_timespan,
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extra=LOG_EXTRA,
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)
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df = _run_query(fallback_kwargs)
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if df is None or df.empty:
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LOGGER.info("GDELT 无匹配结果 key=%s", config.key, extra=LOG_EXTRA)
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return []
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items: List[rss_ingest.RssItem] = []
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for record in df.to_dict(orient="records"):
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item = _build_rss_item(record, config)
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if not item:
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continue
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assigned_codes = rss_ingest._assign_ts_codes(item, config.ts_codes, config.keywords) # type: ignore[attr-defined]
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items.append(replace(item, ts_codes=tuple(assigned_codes)))
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return items
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def _update_last_published_state(items: Sequence[rss_ingest.RssItem]) -> None:
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latest_by_source: Dict[str, datetime] = {}
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for item in items:
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metadata = item.metadata or {}
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source_key = str(metadata.get("source_key", ""))
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if not source_key:
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continue
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current = latest_by_source.get(source_key)
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published = item.published
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if current is None or published > current:
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latest_by_source[source_key] = published
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for source_key, timestamp in latest_by_source.items():
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_save_last_published(source_key, timestamp)
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def ingest_configured_gdelt(
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start: Optional[DateLike] = None,
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end: Optional[DateLike] = None,
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*,
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incremental: bool = True,
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) -> int:
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"""Ingest all configured GDELT sources into the news store."""
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sources = resolve_gdelt_sources()
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if not sources:
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LOGGER.info("未配置 GDELT 来源，跳过新闻拉取", extra=LOG_EXTRA)
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return 0
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start_dt = _ensure_datetime(start) if start else None
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end_dt = _ensure_datetime(end, start_of_day=False) if end else None
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aggregated: List[rss_ingest.RssItem] = []
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fetched = 0
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for config in sources:
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source_start = start_dt
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if incremental:
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last_seen = _load_last_published(config.key)
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if last_seen:
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candidate = last_seen + timedelta(seconds=1)
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if source_start is None or candidate > source_start:
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source_start = candidate
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LOGGER.info(
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"开始拉取 GDELT：%s start=%s end=%s incremental=%s",
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config.label,
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source_start.isoformat() if source_start else None,
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end_dt.isoformat() if end_dt else None,
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incremental,
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extra=LOG_EXTRA,
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)
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items = fetch_gdelt_articles(config, start=source_start, end=end_dt)
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if not items:
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continue
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aggregated.extend(items)
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fetched += len(items)
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LOGGER.info("GDELT 来源 %s 返回 %s 条记录", config.label, len(items), extra=LOG_EXTRA)
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if not aggregated:
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_LAST_INGEST_STATS.update({"fetched": 0, "deduped": 0, "inserted": 0})
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return 0
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deduped = rss_ingest.deduplicate_items(aggregated)
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if not deduped:
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LOGGER.info("GDELT 数据全部为重复项，跳过落库", extra=LOG_EXTRA)
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_update_last_published_state(aggregated)
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_LAST_INGEST_STATS.update({"fetched": fetched, "deduped": 0, "inserted": 0})
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return 0
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inserted = rss_ingest.save_news_items(deduped)
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if inserted:
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_update_last_published_state(deduped)
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else:
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_update_last_published_state(aggregated)
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_LAST_INGEST_STATS.update({"fetched": fetched, "deduped": len(deduped), "inserted": inserted})
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LOGGER.info(
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"GDELT 新闻落库完成 fetched=%s deduped=%s inserted=%s",
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fetched,
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len(deduped),
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inserted,
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extra=LOG_EXTRA,
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)
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return inserted
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def get_last_ingest_stats() -> Dict[str, int]:
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"""Return a copy of the most recent ingestion stats."""
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return dict(_LAST_INGEST_STATS)
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__all__ = [
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"GdeltSourceConfig",
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"resolve_gdelt_sources",
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"fetch_gdelt_articles",
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"ingest_configured_gdelt",
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"get_last_ingest_stats",
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]
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