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Author SHA1 Message Date
caoqianming 93ec54a98f refactor(resm): ScienceDirect 网页下载移出 resm 为独立脚本
按需解耦: 网页(pdfft)下载这类实验性、需人工过 Cloudflare 的功能不进 resm 流水线。

- 新增 scripts/sd_download.py: 独立可运行, DOI->PII->连接手动启动的 Chrome(CDP)
  过验证下载->校验真全文多页 PDF; 与 Django/resm 解耦, 仅读 config 取凭证
- 删除管理命令 try_sciencedirect_pdf, 移除 tasks.py 中 sciencedirect_web 相关函数
- .gitignore: scripts/* 保持忽略, 但放行 scripts/sd_download.py

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-01 16:12:51 +08:00
caoqianming 7e6142780a feat(resm): 加 try_sciencedirect_pdf 单篇试验命令
验证"从 ScienceDirect 网页(pdfft)直下真 PDF"在当前服务器 IP / 机构会话下是否可行,
再决定要不要进流水线。流程: API 取 PII -> 拼 pdfft URL -> curl-cffi 伪装指纹请求
(可选注入机构 Cookie) -> _inspect_pdf 判定真全文/预览/被挡。仅单篇, 默认只探测。

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-29 14:48:43 +08:00
caoqianming 88b51f97b0 perf(resm): fix_preview_pdf 多进程并发扫描
读文件 + pypdf 解析是 CPU/IO 密集, 17 万条串行太慢。改用 ProcessPoolExecutor
并行分类, DB 写入留主进程串行(坏文件仅少数, 非瓶颈, 也避免子进程共享 DB 连接)。

- 新增 apps/resm/pdf_utils.py: 抽出 _pdf_page_count / _is_elsevier_preview_pdf /
  _inspect_pdf / classify_pdf_file, 不依赖 Django, 进程池 fork/spawn 均可安全导入
- tasks.py: 改为从 pdf_utils 导入, 删除内联定义
- 命令新增 --workers(默认 CPU 核数) / --batch; 用 .values() 流式分批, 逐批打印进度;
  DB 写入改用 filter().update() 一次完成, 不再加载模型实例

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-29 13:24:45 +08:00
caoqianming 70bac5c22c feat(resm): 对接材料前沿简报补充期刊/关键词监控
按《全球材料前沿动态简报》三、前沿科技检索清单, 新增 8 本期刊
(Nature Materials/Communications/Reviews Materials、Communications
Materials、Science Advances、Scientific Reports、Engineering Structures、
Materials Today)与 6 个低碳建材关键词监控, 复用每天 05:00 的
monitor_papers 周期任务。简报已列且 0009 已收录的期刊不重复添加。

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-29 13:23:55 +08:00
caoqianming 2d6df68135 feat(resm): fix_preview_pdf 增加坏 PDF 识别与清理
历史记录里除 Elsevier 1 页摘要预览页外, 还有把 HTML 错误页 / 截断垃圾当 PDF
存下的损坏文件, 同样被误标 has_fulltext_pdf=True。

- tasks.py: 新增 _inspect_pdf 分类器 (broken/preview/ok/unknown)。broken 仅在铁证
  下判定(非 %PDF 魔数, 或装了 pypdf 且解析失败); 未装 pypdf 又判不出页数归 unknown,
  绝不误删。
- fix_preview_pdf: 预览页文件仅 --delete-file 时删; 坏文件总是删(dry-run 除外),
  坏文件打 fail_reason=pdf_broken; 无 XML 全文者一并回退 has_fulltext。

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-29 09:38:05 +08:00
caoqianming 97b23a2b06 fix(resm): 静音 pypdf 解析坏 PDF 时的恢复日志
_pdf_page_count 读到损坏 PDF 时 pypdf 会刷大量 incorrect header / Cannot find
/Root 等恢复日志, 污染 fix_preview_pdf 等批处理输出。将 pypdf logger 调到
CRITICAL 静音; 解析失败仍按 None 处理(跳过该条)。

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-29 09:14:23 +08:00
7 changed files with 618 additions and 100 deletions

1
.gitignore vendored
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@ -26,3 +26,4 @@ sh/*
temp/*
nohup.out
scripts/*
!scripts/sd_download.py

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@ -1,34 +1,67 @@
"""一次性修复: 把误标为全文 PDF 的 Elsevier "摘要预览页"(1 页)纠正回未下载状态
"""一次性修复: 纠正被误标为全文 PDF 的历史记录(Elsevier 摘要预览页 / 损坏文件)
背景:
Elsevier Article API 对未授权 / in-press 文章, application/pdf 端点会返回仅含
摘要的 1 页预览 PDF(魔数仍是 %PDF体积也不小), 而全文 XML 却能正常拿到旧抓取
逻辑只校验魔数 + 体积, 误将预览页落库并置 has_fulltext_pdf=True
摘要的 1 页预览 PDF(魔数仍是 %PDF体积也不小); 另有部分历史记录把 HTML 错误页 /
被截断的垃圾当 PDF 存了旧抓取逻辑只校验魔数 + 体积, 都会误标 has_fulltext_pdf=True
本命令重新核对本地 PDF 的页数, <= 1 页者:
- has_fulltext_pdf 置回 False
- 若该论文有 XML 全文(has_fulltext_xml=True), 保留 has_fulltext=True;
否则(此前只有这张假预览页冒充全文)一并把 has_fulltext 回退为 False,
让它能重新进入下载链路去找真正的全文
- 追加 fail_reason 'elsevier_pdf_preview_only' ( Elsevier 补抓队列排除, 避免无限重试)
- 可选: 删除本地预览 PDF 文件 (--delete-file)
本命令核对本地 PDF, 分两类处理:
- 预览页(1 ): has_fulltext_pdf 置回 False; 文件**仅在 --delete-file **删除
- 损坏文件( PDF / pypdf 解析失败): has_fulltext_pdf 置回 False; 文件**总是删除**
(dry-run 除外), 因为它根本不是有效全文, 留着无用且会污染下游解析
两类在缺少 XML 全文(has_fulltext_xml=False), 一并把 has_fulltext 回退 False,
让其重新进入下载链路去找真正的全文; 并追加 fail_reason 标记供抓取任务排除
文件读取依赖本地存在 PDF (在跑抓取的服务器上执行)建议先 --dry-run 看统计
性能:
读文件 + pypdf 解析是 CPU/IO 密集, ProcessPoolExecutor 并行(--workers, 默认 CPU 核数);
数据库写入留在主进程串行(坏文件仅占少数, 非瓶颈, 也避免子进程共享 DB 连接)
安全前提:
"损坏"只在铁证下判定 文件不以 %PDF 开头, 或已装 pypdf 且解析直接失败
若未装 pypdf 且魔数正常但页数判不出, 归为 unknown, **不处理绝不删除**
强烈建议先 `pip install pypdf` 再跑, 否则只能处理魔数明显不符的坏文件
用法:
python manage.py fix_preview_pdf --dry-run
python manage.py fix_preview_pdf --delete-file
python manage.py fix_preview_pdf # 纠正标记 + 删坏文件, 保留预览页文件
python manage.py fix_preview_pdf --delete-file # 并删除预览页文件
python manage.py fix_preview_pdf --workers 16 # 指定并发进程数
"""
import os
from concurrent.futures import ProcessPoolExecutor
from django.conf import settings
from django.core.management.base import BaseCommand
from django.utils import timezone
from apps.resm.models import Paper
from apps.resm.tasks import _pdf_page_count
from apps.resm.pdf_utils import classify_pdf_file
def _pdf_path(doi, pub_date):
"""按 doi + publication_date 推算 PDF 落盘路径(不创建目录, 只读用)。"""
safe = doi.replace("/", "_")
if pub_date is None:
d = os.path.join(settings.BASE_DIR, "media/papers", "unknown")
else:
d = os.path.join(settings.BASE_DIR, "media/papers",
str(pub_date.year), str(pub_date.month), str(pub_date.day))
return os.path.join(d, f"{safe}.pdf")
def _batched(iterable, size):
batch = []
for item in iterable:
batch.append(item)
if len(batch) >= size:
yield batch
batch = []
if batch:
yield batch
class Command(BaseCommand):
help = "纠正被误标为全文的 Elsevier 摘要预览 PDF(1 页)"
help = "纠正被误标为全文的 Elsevier 预览页 / 损坏 PDF(多进程并发)"
def add_arguments(self, parser):
parser.add_argument("--dry-run", action="store_true",
@ -36,71 +69,98 @@ class Command(BaseCommand):
parser.add_argument("--limit", type=int, default=0,
help="最多处理多少条 (0=不限)")
parser.add_argument("--delete-file", action="store_true",
help="同时删除本地预览 PDF 文件")
help="同时删除预览页文件(坏文件无论该开关都会删)")
parser.add_argument("--workers", type=int, default=0,
help="并发进程数 (0=CPU 核数)")
parser.add_argument("--batch", type=int, default=2000,
help="每批处理多少条(控制内存与进度粒度)")
def handle(self, *args, **opts):
dry = opts["dry_run"]
limit = opts["limit"]
del_file = opts["delete_file"]
del_preview = opts["delete_file"]
batch = max(1, opts["batch"])
workers = opts["workers"] or (os.cpu_count() or 4)
qs = Paper.objects.filter(
has_fulltext_pdf=True, doi__startswith="10.1016"
).order_by("id")
total = qs.count()
self.stdout.write(
f"候选(has_fulltext_pdf=True 且 DOI 以 10.1016 开头): {total}")
f"候选(has_fulltext_pdf=True 且 DOI 以 10.1016 开头): {total}; "
f"workers={workers} batch={batch}"
+ (" (dry-run)" if dry else ""))
checked = fixed = only_pdf = missing = unreadable = 0
for paper in qs.iterator():
rows_iter = qs.values(
"id", "doi", "publication_date", "has_fulltext_xml", "fail_reason"
).iterator(chunk_size=batch)
checked = preview = broken = only_pdf = deleted = 0
missing = unknown = 0
with ProcessPoolExecutor(max_workers=workers) as ex:
stop = False
for chunk in _batched(rows_iter, batch):
if stop:
break
paths = [_pdf_path(r["doi"], r["publication_date"]) for r in chunk]
results = ex.map(classify_pdf_file, paths, chunksize=32)
for r, (_path, kind, pages) in zip(chunk, results):
if limit and checked >= limit:
stop = True
break
checked += 1
path = paper.init_paper_path("pdf")
if not os.path.exists(path):
if kind == "missing":
missing += 1
continue
try:
with open(path, "rb") as f:
content = f.read()
except OSError:
unreadable += 1
if kind in ("ok", "unknown", "unreadable"):
if kind != "ok":
unknown += 1
continue
pages = _pdf_page_count(content)
if pages is None:
unreadable += 1
continue
if pages > 1:
continue # 真全文, 跳过
fixed += 1
only_pdf_case = not paper.has_fulltext_xml
# kind in ('preview', 'broken'): 纠正标记
do_delete = (kind == "broken") or del_preview
only_pdf_case = not r["has_fulltext_xml"]
if kind == "preview":
preview += 1
tag = f"preview {pages}p"
reason = "elsevier_pdf_preview_only"
else:
broken += 1
tag = "broken"
reason = "pdf_broken"
if only_pdf_case:
only_pdf += 1
self.stdout.write(
f"[preview {pages}p]{' (only-pdf)' if only_pdf_case else ''} "
f"{paper.doi} {path}")
f"[{tag}]{' (only-pdf)' if only_pdf_case else ''}"
f"{' +rm' if do_delete else ''} {r['doi']} {_path}")
if dry:
continue
paper.has_fulltext_pdf = False
update_fields = ["has_fulltext_pdf", "update_time"]
# 没有 XML 全文时, 之前的 has_fulltext 只是被这张假预览页置上的, 一并回退
if not paper.has_fulltext_xml:
paper.has_fulltext = False
update_fields.insert(0, "has_fulltext")
paper.save(update_fields=update_fields)
if "elsevier_pdf_preview_only" not in (paper.fail_reason or ""):
paper.save_fail_reason("elsevier_pdf_preview_only")
if del_file:
fr = r["fail_reason"]
if reason not in (fr or ""):
fr = f"{fr};{reason}" if fr else f";{reason}"
upd = {"has_fulltext_pdf": False, "fail_reason": fr,
"update_time": timezone.now()}
if only_pdf_case:
upd["has_fulltext"] = False
Paper.objects.filter(id=r["id"]).update(**upd)
if do_delete:
try:
os.remove(path)
os.remove(_path)
deleted += 1
except OSError:
pass
self.stdout.write(
f" 进度 checked={checked}/{total} preview={preview} "
f"broken={broken} deleted={deleted} missing={missing} "
f"unknown={unknown}")
self.stdout.write(self.style.SUCCESS(
f"检查={checked} 预览页修复={fixed} (其中无XML全文/一并回退has_fulltext={only_pdf}) "
f"文件缺失={missing} 无法解析={unreadable}"
f"完成 检查={checked} 预览页={preview} 坏文件={broken} "
f"(无XML全文一并回退has_fulltext={only_pdf}) 删除文件={deleted} "
f"文件缺失={missing} 未知/跳过={unknown}"
+ (" (dry-run, 未写库)" if dry else "")
))

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@ -0,0 +1,87 @@
"""种子数据:对接《全球材料前沿动态简报》三、前沿科技 检索清单,补充期刊 / 关键词监控。
简报已列但 0009 已收录的期刊(Ceramics International / CCR / CCC / Construction and
Building Materials)不重复添加;此处只补简报新增项:
- 一级检索源(Nature/Science 系顶刊):Nature MaterialsNature Communications
Communications MaterialsScience AdvancesNature Reviews MaterialsScientific Reports
- 二级检索源补充(建材 TOP):Engineering StructuresMaterials Today
- 统一检索关键词(简报第三节):低碳水泥 / 储能建材 / 碳化机理 / 固废基胶凝 / 建材碳捕集
(OpenAlex 语料为英文, value 用英文搜索词,name 标中文)
期刊监控只按 ISSN 过滤不带主题词,Nature Communications / Scientific Reports 等综合性
大刊会拉入非建材论文;简报要求的"建材主题 + TOP5 筛选"需在下游按关键词二次筛选,本表不承担
全部复用每天 05:00 monitor_papers 周期任务(0009 已注册),无需新增调度
get_or_create 保证迁移可安全重跑
"""
from django.db import migrations
from apps.utils.snowflake import idWorker
# 一级检索源:Nature/Science 系材料类顶刊(简报「前沿科技」一级)
JOURNALS_TIER1 = [
("1476-1122", "Nature Materials"),
("2041-1723", "Nature Communications"),
("2662-4443", "Communications Materials"),
("2375-2548", "Science Advances"),
("2058-8437", "Nature Reviews Materials"),
("2045-2322", "Scientific Reports"),
]
NOTE_TIER1 = "前沿顶刊"
# 二级检索源补充:建材 / 无机非金属国际 TOP(简报已列、0009 未收录的)
JOURNALS_TIER2 = [
("0141-0296", "Engineering Structures"),
("1369-7021", "Materials Today"),
]
NOTE_TIER2 = "建材TOP顶刊"
# 统一检索关键词(简报第三节,英文搜索词 + 中文名)
SEARCHES = [
("low carbon cement", "低碳水泥"),
("energy storage building material", "储能建筑材料"),
("concrete carbonation", "混凝土碳化机理"),
("geopolymer", "工业固废基地聚物"),
("supplementary cementitious material", "固废基胶凝材料"),
("carbon capture cement", "建材碳捕集"),
]
NOTE_SEARCH = "低碳建材前沿"
def seed(apps, schema_editor):
PaperMonitor = apps.get_model("resm", "PaperMonitor")
for issn, name in JOURNALS_TIER1:
PaperMonitor.objects.get_or_create(
type="journal", value=issn,
defaults={"id": idWorker.get_id(), "name": name, "note": NOTE_TIER1,
"is_active": True, "days": 7},
)
for issn, name in JOURNALS_TIER2:
PaperMonitor.objects.get_or_create(
type="journal", value=issn,
defaults={"id": idWorker.get_id(), "name": name, "note": NOTE_TIER2,
"is_active": True, "days": 7},
)
for term, name in SEARCHES:
PaperMonitor.objects.get_or_create(
type="search", value=term,
defaults={"id": idWorker.get_id(), "name": name, "note": NOTE_SEARCH,
"is_active": True, "days": 7},
)
def unseed(apps, schema_editor):
PaperMonitor = apps.get_model("resm", "PaperMonitor")
journals = [i for i, _ in JOURNALS_TIER1] + [i for i, _ in JOURNALS_TIER2]
PaperMonitor.objects.filter(type="journal", value__in=journals).delete()
PaperMonitor.objects.filter(type="search", value__in=[t for t, _ in SEARCHES]).delete()
class Migration(migrations.Migration):
dependencies = [
("resm", "0010_seed_ensure_fetch_running"),
]
operations = [
migrations.RunPython(seed, unseed),
]

94
apps/resm/pdf_utils.py Normal file
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@ -0,0 +1,94 @@
"""PDF 解析/分类工具(纯 stdlib + pypdf, 不依赖 Django)。
独立成模块, 以便 ProcessPoolExecutor 的子进程能安全导入(fork/spawn 均可),
不会牵连 Django 模型与配置tasks.py 从这里复用这些函数
"""
import os
import re
def _pdf_page_count(content: bytes):
"""返回 PDF 页数; 无法确定时返回 None。
优先用 pypdf 精确解析; 未安装或解析异常时退化为字节扫描
(对未压缩对象树有效, Elsevier 的摘要预览页正属此类)"""
try:
from io import BytesIO
import logging
# 坏 PDF 会让 pypdf 刷大量恢复日志, 这里只关心页数, 静音其 logger
logging.getLogger("pypdf").setLevel(logging.CRITICAL)
from pypdf import PdfReader
return len(PdfReader(BytesIO(content), strict=False).pages)
except ImportError:
pass
except Exception:
return None
try:
counts = [int(m) for m in re.findall(rb"/Count\s+(\d+)", content)]
if counts:
return max(counts)
n = len(re.findall(rb"/Type\s*/Page(?![sR])", content))
if n:
return n
except Exception:
pass
return None
def _is_elsevier_preview_pdf(content: bytes) -> bool:
"""判断 Elsevier 返回的 PDF 是否为"摘要预览页"
Elsevier Article API 对未授权 / in-press 文章, application/pdf 端点会返回
仅含摘要的 1 页预览 PDF(魔数仍是 %PDF体积也不小), 全文 XML 却可能正常
判据: 能确定页数且 <= 1 无法确定页数时返回 False(从宽, 不误杀真全文)"""
pages = _pdf_page_count(content)
return pages is not None and pages <= 1
def _inspect_pdf(content: bytes):
"""对历史落库的 PDF 文件分类, 返回 (kind, pages)。
kind:
'broken' - PDF(魔数不符) pypdf 解析直接失败 -> 可安全删除重抓
'preview' - 1 页摘要预览页
'ok' - 多页, 视为真全文, 不处理
'unknown' - 魔数正常但页数判不出(通常因未装 pypdf) -> 不处理, 绝不当坏文件
pages: 页数; 无法确定为 None"""
if not content or b"%PDF" not in content[:1024]:
return "broken", 0
try:
from io import BytesIO
import logging
logging.getLogger("pypdf").setLevel(logging.CRITICAL)
from pypdf import PdfReader
except ImportError:
# 没装 pypdf: 只能靠字节扫描, 判不出就 unknown(从宽, 不误判为坏)
pages = _pdf_page_count(content)
if pages is None:
return "unknown", None
return ("preview" if pages <= 1 else "ok"), pages
try:
pages = len(PdfReader(BytesIO(content), strict=False).pages)
except Exception:
return "broken", None
if pages <= 0:
return "broken", pages
return ("preview" if pages == 1 else "ok"), pages
def classify_pdf_file(path: str):
"""并发 worker 入口: 读取并分类单个 PDF 文件路径。
返回 (path, kind, pages) _inspect_pdf 的四种 kind , 另有 IO 结果:
'missing' - 文件不存在
'unreadable' - 打开失败(权限等)
设计为纯函数( stdlib + pypdf), 可被进程池安全 pickle / 导入"""
try:
if not os.path.exists(path):
return path, "missing", None
with open(path, "rb") as f:
content = f.read()
except OSError:
return path, "unreadable", None
kind, pages = _inspect_pdf(content)
return path, kind, pages

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@ -11,7 +11,7 @@ from lxml import etree
from celery import current_app
from datetime import datetime, timedelta
import random
import re
from .pdf_utils import _is_elsevier_preview_pdf
from .d_oaurl import download_from_url_playwright
import asyncio
import sys
@ -600,41 +600,6 @@ def _elsevier_fetch_xml(req, paper):
return True, has_fulltext, None
def _pdf_page_count(content: bytes):
"""返回 PDF 页数; 无法确定时返回 None。
优先用 pypdf 精确解析; 未安装或解析异常时退化为字节扫描
(对未压缩对象树有效, Elsevier 的摘要预览页正属此类)"""
try:
from io import BytesIO
from pypdf import PdfReader
return len(PdfReader(BytesIO(content), strict=False).pages)
except ImportError:
pass
except Exception:
return None
try:
counts = [int(m) for m in re.findall(rb"/Count\s+(\d+)", content)]
if counts:
return max(counts)
n = len(re.findall(rb"/Type\s*/Page(?![sR])", content))
if n:
return n
except Exception:
pass
return None
def _is_elsevier_preview_pdf(content: bytes) -> bool:
"""判断 Elsevier 返回的 PDF 是否为"摘要预览页"
Elsevier Article API 对未授权 / in-press 文章, application/pdf 端点会返回
仅含摘要的 1 页预览 PDF(魔数仍是 %PDF体积也不小), 全文 XML 却可能正常
判据: 能确定页数且 <= 1 无法确定页数时返回 False(从宽, 不误杀真全文)"""
pages = _pdf_page_count(content)
return pages is not None and pages <= 1
def _elsevier_fetch_pdf(req, paper):
"""同一 DOI 取 PDF, 成功落库返回 True。"""
try:

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#!/usr/bin/env python
"""独立脚本: 从 ScienceDirect 网页下载排版 PDF。
apps.resm 解耦, 独立运行核心难点是 Cloudflare 人机校验: Playwright 自建
浏览器带自动化指纹会被 Turnstile 识破而死循环("are you a robot"), 因此推荐
连接你手动启动的真实 Chrome(由真人过一次验证), 脚本只负责驱动它下载
前提: 运行方 IP 在机构订阅网段(ScienceDirect IP 授权)
依赖: playwright, requests, lxml, pypdf(可选, 用于精确判页数)
凭证: 默认从项目 config/conf.py 读取 ELSEVIER_API_KEY / ELSEVIER_INST_TOKEN,
也可用 --pii 直接给 PII 跳过取号
用法(推荐 CDP 模式):
1) 单独起一个带调试端口的 Chrome(独立档案, 不影响日常浏览器):
Windows:
& "C:\\Program Files\\Google\\Chrome\\Application\\chrome.exe" \
--remote-debugging-port=9222 --user-data-dir="D:\\chrome-sd-profile"
Linux:
google-chrome --remote-debugging-port=9222 --user-data-dir=/tmp/sd-profile
2) 在该 Chrome 里手动打开任一 ScienceDirect 文章, 亲手过掉 Cloudflare 验证
3) 运行本脚本(可一次多篇):
python scripts/sd_download.py 10.1016/j.conbuildmat.2026.146897 \
--cdp http://localhost:9222 --out ./sd_pdfs
不加 --cdp 时脚本自行启动浏览器(大概率被 Cloudflare , 仅调试用)
提示: 批量爬 ScienceDirect 违反 Elsevier 条款且可能导致机构 IP 被封, 仅供少量补抓
"""
import argparse
import asyncio
import os
import re
import sys
from io import BytesIO
# 项目根入 sys.path, 以便读取 config/conf.py 的凭证
ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
if ROOT not in sys.path:
sys.path.insert(0, ROOT)
_UA = ("Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 "
"(KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36")
_STEALTH_ARGS = [
"--disable-blink-features=AutomationControlled",
"--no-first-run", "--no-default-browser-check",
"--disable-infobars", "--disable-extensions", "--disable-notifications",
]
_CHALLENGE_KW = ("just a moment", "moment", "checking your browser",
"attention required")
# ------------------------------ PII / PDF 工具 ------------------------------
def get_creds():
try:
from config.conf import ELSEVIER_API_KEY, ELSEVIER_INST_TOKEN
return ELSEVIER_API_KEY, ELSEVIER_INST_TOKEN
except Exception as e:
print(f"[warn] 读取 config/conf.py 凭证失败: {e!r}")
return None, None
def fetch_pii(doi):
"""调 Elsevier API(text/xml) 取归一化 PII; 失败返回 None。"""
import requests
from lxml import etree
key, token = get_creds()
if not key:
return None
headers = {"X-ELS-APIKey": key}
if token:
headers["X-ELS-Insttoken"] = token
try:
r = requests.get(f"https://api.elsevier.com/content/article/doi/{doi}",
params={"httpAccept": "text/xml"}, headers=headers,
timeout=(3, 30))
except requests.RequestException as e:
print(f"[warn] 取 PII 请求失败: {e!r}")
return None
if r.status_code != 200:
print(f"[warn] 取 PII 非 200: {r.status_code}")
return None
try:
root = etree.fromstring(r.content)
except Exception:
return None
nodes = root.xpath("//*[local-name()='pii']/text()")
if not nodes:
return None
return re.sub(r"[^A-Za-z0-9]", "", nodes[0])
def pdf_page_count(content: bytes):
"""返回页数, 判不出返回 None。优先 pypdf, 退化字节扫描。"""
try:
import logging
logging.getLogger("pypdf").setLevel(logging.CRITICAL)
from pypdf import PdfReader
return len(PdfReader(BytesIO(content), strict=False).pages)
except ImportError:
pass
except Exception:
return None
try:
counts = [int(m) for m in re.findall(rb"/Count\s+(\d+)", content)]
if counts:
return max(counts)
n = len(re.findall(rb"/Type\s*/Page(?![sR])", content))
if n:
return n
except Exception:
pass
return None
def classify(content: bytes):
"""(kind, pages): broken / preview(1页) / ok(多页) / unknown。"""
if not content or b"%PDF" not in content[:1024]:
return "broken", 0
pages = pdf_page_count(content)
if pages is None:
return "unknown", None
if pages <= 0:
return "broken", pages
return ("preview" if pages == 1 else "ok"), pages
# ------------------------------ 浏览器下载 ------------------------------
async def _wait_challenge_cleared(page, rounds=30, interval=2000):
for _ in range(rounds):
try:
await page.wait_for_timeout(interval)
except Exception:
pass
try:
title = (await page.title()) or ""
except Exception:
continue # 跳转中, 下一轮再看
if title and not any(k in title.lower() for k in _CHALLENGE_KW):
return True
return False
async def _find_pdfft_href(page):
try:
return await page.evaluate(
"() => { const a=document.querySelector('a[href*=\"pdfft\"]');"
" return a ? a.href : null; }")
except Exception:
return None
async def _grab_pdf(page, url, timeout):
# 优先 download 事件
try:
async with page.expect_download(timeout=min(timeout, 45000)) as dl:
try:
await page.goto(url, timeout=timeout)
except Exception:
pass
download = await dl.value
path = await download.path()
if path:
with open(path, "rb") as f:
data = f.read()
if data:
return data
except Exception:
pass
# 退化: 拦截内联 application/pdf 响应
captured = {}
async def on_resp(resp):
try:
if "application/pdf" in resp.headers.get("content-type", ""):
captured["b"] = await resp.body()
except Exception:
pass
page.on("response", on_resp)
try:
try:
await page.goto(url.replace("?download=true", ""), timeout=timeout)
except Exception:
pass
for _ in range(12):
if captured.get("b"):
break
await page.wait_for_timeout(1000)
finally:
try:
page.remove_listener("response", on_resp)
except Exception:
pass
return captured.get("b")
async def download_one(pii, save_path, cdp_url=None, headless=False,
timeout=60000):
"""返回 (ok, msg)。"""
from playwright.async_api import async_playwright
article = f"https://www.sciencedirect.com/science/article/pii/{pii}"
pdf_url = f"{article}/pdfft?download=true"
async with async_playwright() as p:
connected = bool(cdp_url)
if connected:
browser = await p.chromium.connect_over_cdp(cdp_url)
else:
try:
browser = await p.chromium.launch(headless=headless,
channel="chrome",
args=_STEALTH_ARGS)
except Exception:
browser = await p.chromium.launch(headless=headless,
args=_STEALTH_ARGS)
page = None
try:
if connected:
ctx = browser.contexts[0] if browser.contexts else await browser.new_context()
else:
ctx = await browser.new_context(
viewport={"width": 1920, "height": 1080},
user_agent=_UA, locale="en-US", accept_downloads=True)
page = await ctx.new_page()
page.set_default_timeout(timeout)
if not connected:
await page.add_init_script(
"Object.defineProperty(navigator,'webdriver',{get:()=>false});")
try:
await page.goto(article, wait_until="domcontentloaded",
timeout=40000)
except Exception:
pass
rounds = 60 if connected else 20
if not await _wait_challenge_cleared(page, rounds=rounds):
return False, "cloudflare_not_cleared"
# reload 拿干净文章页
try:
await page.goto(article, wait_until="domcontentloaded",
timeout=40000)
await page.wait_for_timeout(4000)
except Exception:
pass
href = await _find_pdfft_href(page) or pdf_url
body = await _grab_pdf(page, href, timeout)
if not body:
return False, "no_pdf_captured"
kind, pages = classify(body)
if kind != "ok":
head = body[:160].decode("utf-8", "replace").replace("\n", " ")
return False, f"not_fulltext kind={kind} pages={pages} len={len(body)} head={head!r}"
os.makedirs(os.path.dirname(os.path.abspath(save_path)), exist_ok=True)
with open(save_path, "wb") as f:
f.write(body)
return True, f"ok pages={pages} len={len(body)}"
finally:
try:
if connected and page:
await page.close()
await browser.close()
except Exception:
pass
# ------------------------------ CLI ------------------------------
async def _run(args):
os.makedirs(args.out, exist_ok=True)
ok_n = 0
for doi in args.doi:
doi = doi.strip()
pii = args.pii or fetch_pii(doi)
if not pii:
print(f"[FAIL] {doi}: 取不到 PII")
continue
save = os.path.join(args.out, doi.replace("/", "_") + ".pdf")
print(f"[..] {doi} PII={pii} -> {save}")
ok, msg = await download_one(pii, save, cdp_url=args.cdp or None,
headless=args.headless, timeout=args.timeout * 1000)
if ok:
ok_n += 1
print(f"[OK] {doi}: {msg}")
else:
print(f"[FAIL] {doi}: {msg}")
print(f"完成: {ok_n}/{len(args.doi)} 成功")
def main():
ap = argparse.ArgumentParser(description="从 ScienceDirect 网页下载 PDF(独立脚本)")
ap.add_argument("doi", nargs="+", help="一个或多个 DOI")
ap.add_argument("--cdp", default="",
help="连接手动启动的 Chrome, 如 http://localhost:9222(推荐)")
ap.add_argument("--out", default="./sd_pdfs", help="PDF 输出目录")
ap.add_argument("--pii", default="", help="直接指定 PII(仅单篇时用, 跳过 API 取号)")
ap.add_argument("--headless", action="store_true", help="无头(非 CDP 模式, 调试用)")
ap.add_argument("--timeout", type=int, default=60, help="单步超时(秒)")
args = ap.parse_args()
if sys.platform == "win32":
asyncio.set_event_loop_policy(asyncio.WindowsProactorEventLoopPolicy())
asyncio.run(_run(args))
if __name__ == "__main__":
main()