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Initial setup with privacy protection

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Jarvis
2025-12-23 10:16:22 +08:00
commit 5ed0352b96
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41
.github/workflows/rss_action.yaml vendored Normal file
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name: Auto RSS Fetch
on:
schedule:
- cron: '0 */6 * * *' # 每6小时运行一次
workflow_dispatch: # 允许手动触发
jobs:
build:
runs-on: ubuntu-latest
# 这一步非常重要：赋予脚本写入仓库的权限
permissions:
contents: write
steps:
- name: Checkout code
uses: actions/checkout@v3
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: '3.9'
- name: Install dependencies
run: |
pip install -r requirements.txt
- name: Run RSS Script
env:
RSS_KEYWORDS: ${{ secrets.RSS_KEYWORDS }}
run: python get_RSS.py
- name: Commit and Push changes
run: |
git config --global user.name 'github-actions[bot]'
git config --global user.email 'github-actions[bot]@users.noreply.github.com'
git add filtered_feed.xml
# 只有当有新文件生成或文件变动时才提交
git commit -m "Auto-update RSS feed" || echo "No changes to commit"
git push

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get_RSS.py Normal file
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import feedparser
import re
import os
import datetime
import time
from rfeed import Item, Feed, Guid
from email.utils import parsedate_to_datetime
# --- 配置区域 ---
OUTPUT_FILE = "filtered_feed.xml" # 输出文件
MAX_ITEMS = 200 # RSS中保留的最大条目数（滚动窗口）
JOURNALS_FILE = 'journals.dat'
KEYWORDS_FILE = 'keywords.dat'
# ----------------
def load_config(filename, env_var_name=None):
"""
优先从环境变量读取配置（用于 GitHub Actions 保护隐私），
如果环境变量不存在，则读取本地文件（用于本地测试）。
"""
# 1. 尝试读取环境变量 (Secrets)
if env_var_name and os.environ.get(env_var_name):
print(f"Loading config from environment variable: {env_var_name}")
# 假设环境变量里用分号 ; 或者换行符分隔
content = os.environ[env_var_name]
# 兼容换行符或分号分隔
if '\n' in content:
return [line.strip() for line in content.split('\n') if line.strip()]
else:
return [line.strip() for line in content.split(';') if line.strip()]
# 2. 尝试读取本地文件
if os.path.exists(filename):
print(f"Loading config from local file: {filename}")
with open(filename, 'r', encoding='utf-8') as f:
return [line.strip() for line in f if line.strip() and not line.startswith('#')]
print(f"Warning: No config found for {filename} or {env_var_name}")
return []
def convert_struct_time_to_datetime(struct_time):
"""将 feedparser 的时间结构转换为 datetime 对象"""
if not struct_time:
return datetime.datetime.now()
return datetime.datetime.fromtimestamp(time.mktime(struct_time))
def parse_rss(rss_url, retries=3):
"""解析在线 RSS 订阅"""
print(f"Fetching: {rss_url}...")
for attempt in range(retries):
try:
feed = feedparser.parse(rss_url)
entries = []
journal_title = feed.feed.get('title', 'Unknown Journal')
for entry in feed.entries:
# 获取标准时间
pub_struct = entry.get('published_parsed', entry.get('updated_parsed'))
pub_date = convert_struct_time_to_datetime(pub_struct)
entries.append({
'title': entry.get('title', ''),
'link': entry.get('link', ''),
'pub_date': pub_date,
'summary': entry.get('summary', entry.get('description', '')),
'journal': journal_title,
'id': entry.get('id', entry.get('link', '')) # ID 用于去重
})
return entries
except Exception as e:
print(f"Error parsing {rss_url}: {e}")
time.sleep(2)
return []
def get_existing_items():
"""读取上一次生成的 XML 文件，保留历史数据"""
if not os.path.exists(OUTPUT_FILE):
return []
print(f"Loading existing items from {OUTPUT_FILE}...")
try:
# feedparser 也可以解析本地 XML 文件
feed = feedparser.parse(OUTPUT_FILE)
entries = []
for entry in feed.entries:
# 恢复 datetime 对象
pub_struct = entry.get('published_parsed')
pub_date = convert_struct_time_to_datetime(pub_struct)
# 注意：生成的 XML 标题通常是 "[Journal] Title"，这里我们需要尽量保持原样
# 或者为了简单起见，我们直接存储读取到的内容
entries.append({
'title': entry.get('title', ''), # 这里标题已经包含 [Journal] 前缀了
'link': entry.get('link', ''),
'pub_date': pub_date,
'summary': entry.get('summary', ''),
'journal': entry.get('author', ''), # 我们在生成时把 journal 存入了 author 字段
'id': entry.get('id', entry.get('link', '')),
'is_old': True # 标记为旧数据，不需要再次关键词匹配
})
return entries
except Exception as e:
print(f"Error reading existing file: {e}")
return []
def match_entry(entry, queries):
"""关键词匹配"""
# 构造待搜索文本
text_to_search = (entry['title'] + " " + entry['summary']).lower()
for query in queries:
keywords = [k.strip().lower() for k in query.split('AND')]
match = True
for keyword in keywords:
# 使用简单的字符串包含判断，比正则更快，且对科研关键词通常足够
if keyword not in text_to_search:
match = False
break
if match:
return True
return False
def generate_rss_xml(items):
"""生成 RSS 2.0 XML 文件"""
rss_items = []
# 按时间倒序排列（最新的在最前）
# 确保所有 item 都有 pub_date 且是 datetime 对象
items.sort(key=lambda x: x['pub_date'], reverse=True)
# 截取最新的 MAX_ITEMS 条
items = items[:MAX_ITEMS]
for item in items:
# 如果是旧数据，标题可能已经是 "[Journal] Title" 格式，需要避免重复添加前缀
title = item['title']
if not item.get('is_old', False):
# 新数据，添加期刊前缀
title = f"[{item['journal']}] {item['title']}"
rss_item = Item(
title = title,
link = item['link'],
description = item['summary'],
author = item['journal'], # 借用 author 字段存储期刊名
guid = Guid(item['id']),
pubDate = item['pub_date']
)
rss_items.append(rss_item)
feed = Feed(
title = "My Customized Papers (Auto-Filtered)",
link = "https://github.com/your_username/your_repo",
description = "Aggregated research papers based on keywords",
language = "en-US",
lastBuildDate = datetime.datetime.now(),
items = rss_items
)
with open(OUTPUT_FILE, "w", encoding="utf-8") as f:
f.write(feed.rss())
print(f"Successfully generated {OUTPUT_FILE} with {len(rss_items)} items.")
def main():
# 1. 读取配置
rss_urls = load_config('journals.dat', 'RSS_JOURNALS')
queries = load_config('keywords.dat', 'RSS_KEYWORDS')
if not rss_urls or not queries:
print("Error: Configuration files are empty or missing.")
return
# 2. 读取旧数据（核心去重策略：保留历史）
existing_entries = get_existing_items()
# 创建一个已有 ID 的集合，用于快速查重
seen_ids = set(entry['id'] for entry in existing_entries)
all_entries = existing_entries.copy()
new_count = 0
# 3. 抓取新数据
print("Starting RSS fetch from remote...")
for url in rss_urls:
fetched_entries = parse_rss(url)
for entry in fetched_entries:
# 查重：如果 ID 已经在旧数据里，直接跳过
if entry['id'] in seen_ids:
continue
# 关键词匹配
if match_entry(entry, queries):
all_entries.append(entry)
seen_ids.add(entry['id'])
new_count += 1
print(f"Match found: {entry['title'][:50]}...")
print(f"Added {new_count} new entries. Total entries before limit: {len(all_entries)}")
# 4. 生成新文件 (包含排序和截断)
generate_rss_xml(all_entries)
if __name__ == '__main__':
main()

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journals.dat Normal file
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feeds.aps.org/rss/recent/prmaterials.xml
feeds.aps.org/rss/recent/prx.xml
feeds.aps.org/rss/tocsec/PRL-CondensedMatterStructureetc.xml
feeds.aps.org/rss/tocsec/PRB-Structurestructuralphasetransitionsmechanicalpropertiesdefects.xml
feeds.aps.org/rss/tocsec/PRB-SemiconductorsIbulk.xml
https://advanced.onlinelibrary.wiley.com/feed/15214095/most-recent
https://advanced.onlinelibrary.wiley.com/feed/16163028/most-recent
https://www.science.org/action/showFeed?type=etoc&feed=rss&jc=science
https://pubs.acs.org/action/showFeed?type=axatoc&feed=rss&jc=aelccp
https://pubs.acs.org/action/showFeed?type=axatoc&feed=rss&jc=ancac3
https://onlinelibrary.wiley.com/feed/16146840/most-recent
https://advanced.onlinelibrary.wiley.com/feed/16163028/most-recent
https://advanced.onlinelibrary.wiley.com/feed/15214095/most-recent
https://onlinelibrary.wiley.com/feed/15213773/most-recent
https://pubs.acs.org/action/showFeed?type=axatoc&feed=rss&jc=jacsat
https://rss.sciencedirect.com/publication/science/25424351
https://rss.sciencedirect.com/publication/science/25902385
https://rss.sciencedirect.com/publication/science/22112855
https://www.nature.com/nature.rss
https://www.nature.com/ncomms.rss
https://www.nature.com/nenergy.rss
https://www.nature.com/nmat.rss
https://www.nature.com/nphys.rss
https://www.nature.com/natrevmats.rss
https://www.nature.com/npjcompumats.rss
https://onlinelibrary.wiley.com/feed/25673173/most-recent
https://pubs.acs.org/action/showFeed?type=axatoc&feed=rss&jc=jctcce
https://pubs.aip.org/rss/site_1000011/1000008.xml
https://pubs.aip.org/rss/site_1000009/1000007.xml
https://pubs.aip.org/rss/site_1000017/1000011.xml
https://pubs.aip.org/rss/site_1000017/LatestOpenIssueArticles_1000011.xml
https://pubs.aip.org/rss/site_1000019/1000012.xml
https://pubs.aip.org/rss/site_1000019/LatestOpenIssueArticles_1000012.xml
https://pubs.aip.org/rss/site_1000013/1000009.xml
https://pubs.aip.org/rss/site_1000013/LatestOpenIssueArticles_1000009.xml
https://rss.sciencedirect.com/publication/science/13697021
https://rss.sciencedirect.com/publication/science/25425293
https://www.tandfonline.com/feed/rss/tadp20
https://feeds.aps.org/rss/recent/rmp.xml
https://feeds.aps.org/rss/recent/prl.xml
https://feeds.aps.org/rss/tocsec/PRB-Dynamicsdynamicalsystemslatticeeffectsquantumsolids.xml
https://feeds.aps.org/rss/recent/prb.xml
https://www.nature.com/natrevphys.rss
https://www.nature.com/nnano.rss
https://rss.sciencedirect.com/publication/science/00796425
https://advanced.onlinelibrary.wiley.com/feed/21983844/most-recent
https://www.pnas.org/action/showFeed?type=etoc&feed=rss&jc=PNAS
https://www.pnas.org/action/showFeed?type=searchTopic&taxonomyCode=topic&tagCode=phys-sci
https://rss.arxiv.org/rss/cond-mat
https://rss.sciencedirect.com/publication/science/20959273
https://rss.sciencedirect.com/publication/science/26671417
https://www.nature.com/commsmat.rss
https://rss.sciencedirect.com/publication/science/29497477
https://rss.sciencedirect.com/publication/science/09270256
https://rss.sciencedirect.com/publication/science/01672738
https://www.annualreviews.org/rss/content/journals/conmatphys/latestarticles?fmt=rss
https://www.annualreviews.org/rss/content/journals/matsci/latestarticles?fmt=rss
https://www.nature.com/natmachintell.rss
https://rss.sciencedirect.com/publication/science/00796425
https://pubs.acs.org/action/showFeed?type=axatoc&feed=rss&jc=jpclcd
https://pubs.acs.org/action/showFeed?type=axatoc&feed=rss&jc=jpccck
https://rss.sciencedirect.com/publication/science/2352152X
https://rss.sciencedirect.com/publication/science/13590286
http://feeds.rsc.org/rss/dd
https://rss.sciencedirect.com/publication/science/23528478
https://chemrxiv.org/engage/rss/chemrxiv
https://advanced.onlinelibrary.wiley.com/feed/29439981/most-recent
https://rss.sciencedirect.com/publication/science/30509130
https://feeds.aps.org/rss/recent/prxenergy.xml
https://pubs.acs.org/action/showFeed?type=axatoc&feed=rss&jc=achre4
https://pubs.acs.org/action/showFeed?type=axatoc&feed=rss&jc=amrcda
https://pubs.acs.org/action/showFeed?type=axatoc&feed=rss&jc=amlcef
https://pubs.acs.org/action/showFeed?type=axatoc&feed=rss&jc=amacgu
https://pubs.acs.org/action/showFeed?type=axatoc&feed=rss&jc=apcach
https://iopscience.iop.org/journal/rss/3050-287X
https://ccs-stag.literatumonline.com/action/showFeed?type=etoc&feed=rss&jc=ccschem
https://www.nature.com/natchemeng.rss
http://feeds.rsc.org/rss/sc
https://www.cell.com/iscience/current.rss
https://www.cell.com/iscience/inpress.rss
https://www.cell.com/Joule/current.rss
https://www.cell.com/joule/inpress.rss
https://www.cell.com/Matter/current.rss
https://www.cell.com/matter/inpress.rss
https://www.cell.com/Newton/current.rss
https://www.cell.com/Newton/inpress.rss
https://www.cell.com/Chem/current.rss
https://www.cell.com/chem/inpress.rss
https://www.cell.com/chem-catalysis/inpress.rss
https://www.cell.com/chem-catalysis/current.rss
https://www.cell.com/Cell-Reports-Physical-Science/inpress.rss
https://www.cell.com/Cell-Reports-Physical-Science/current.rss
https://onlinelibrary.wiley.com/feed/16136829/most-recent
https://onlinelibrary.wiley.com/feed/23669608/most-recent
https://onlinelibrary.wiley.com/feed/26379368/most-recent
https://onlinelibrary.wiley.com/feed/16147065/most-recent
https://onlinelibrary.wiley.com/feed/25750356/most-recent
https://onlinelibrary.wiley.com/feed/25673165/most-recent
https://onlinelibrary.wiley.com/feed/2688819x/most-recent
https://onlinelibrary.wiley.com/feed/26884062/most-recent
https://onlinelibrary.wiley.com/feed/26924552/most-recent
https://pubs.acs.org/action/showFeed?type=axatoc&feed=rss&jc=jaaucr
https://www.tandfonline.com/feed/rss/tmrl20
https://rss.sciencedirect.com/publication/science/25425293
https://rss.sciencedirect.com/publication/science/13596454
https://rss.sciencedirect.com/publication/science/18722067
https://rss.sciencedirect.com/publication/science/00219517
https://www.nature.com/commsphys.rss

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requirements.txt Normal file
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feedparser
rfeed