Add broad research scan script + first scan results
- New script: .agents/scripts/research/broad_scan.py — fetches Reddit RSS (r/weightroom, r/advancedfitness, r/StrongerByScience) and PubMed (resistance training, strength programming, exercise physiology) without targeted search bias. Auto-saves to logs/research/. - First scan: logs/research/2026-06-26-broad-scan.md Key finds: low-load RT (40-50% 1RM) validated for reintroduction phase, sprinting knee power >> hamstring exercises, new 2026 rehab studies
This commit is contained in:
parent
e3e441c034
commit
e226c20161
213
.agents/scripts/research/broad_scan.py
Normal file
213
.agents/scripts/research/broad_scan.py
Normal file
@ -0,0 +1,213 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Broad research scan: fetches recent high-signal content from fitness/science
|
||||
sources without targeted search bias. Run occasionally to catch trends,
|
||||
new studies, and community discussions.
|
||||
|
||||
Sources:
|
||||
- Reddit: r/weightroom, r/advancedfitness, r/StrongerByScience
|
||||
- PubMed: recent articles on general resistance training
|
||||
"""
|
||||
|
||||
import json
|
||||
import urllib.request
|
||||
import urllib.parse
|
||||
import time
|
||||
import sys
|
||||
from datetime import datetime, timezone
|
||||
from xml.etree import ElementTree
|
||||
|
||||
REDDIT_USER_AGENT = "fitness-agent/1.0 (research script; for personal training logs)"
|
||||
SOURCES = {
|
||||
"reddit": [
|
||||
"weightroom",
|
||||
"advancedfitness",
|
||||
"StrongerByScience",
|
||||
],
|
||||
"pubmed_terms": [
|
||||
"resistance training",
|
||||
"strength training programming",
|
||||
"exercise physiology",
|
||||
],
|
||||
}
|
||||
|
||||
|
||||
def fetch_url(url, max_retries=2):
|
||||
"""Fetch content from a URL with retries."""
|
||||
for attempt in range(max_retries):
|
||||
try:
|
||||
req = urllib.request.Request(url, headers={"User-Agent": REDDIT_USER_AGENT})
|
||||
with urllib.request.urlopen(req, timeout=15) as resp:
|
||||
return resp.read().decode()
|
||||
except Exception as e:
|
||||
if attempt < max_retries - 1:
|
||||
time.sleep(3)
|
||||
else:
|
||||
return None
|
||||
|
||||
|
||||
def fetch_reddit_posts(subreddit, limit=10):
|
||||
"""Fetch top posts from a subreddit via RSS."""
|
||||
# Use RSS feed (works without auth)
|
||||
url = f"https://www.reddit.com/r/{subreddit}/hot/.rss?limit={limit}"
|
||||
content = fetch_url(url)
|
||||
if not content:
|
||||
# Fallback: try old.reddit.com
|
||||
url = f"https://old.reddit.com/r/{subreddit}/hot/.rss?limit={limit}"
|
||||
content = fetch_url(url)
|
||||
|
||||
if not content:
|
||||
return [{"title": f"[Could not reach r/{subreddit}]", "url": "", "score": 0, "num_comments": 0}]
|
||||
|
||||
posts = []
|
||||
try:
|
||||
root = ElementTree.fromstring(content)
|
||||
# RSS namespace
|
||||
ns = {"": "http://www.w3.org/2005/Atom"}
|
||||
for entry in root.findall(".//entry", ns):
|
||||
title_el = entry.find("title", ns)
|
||||
link_el = entry.find("link", ns)
|
||||
updated_el = entry.find("updated", ns)
|
||||
title = title_el.text if title_el is not None else "No title"
|
||||
link = link_el.get("href", "") if link_el is not None else ""
|
||||
updated = updated_el.text[:10] if updated_el is not None and updated_el.text else "?"
|
||||
posts.append({
|
||||
"title": title,
|
||||
"url": link,
|
||||
"score": "?",
|
||||
"num_comments": "?",
|
||||
"date": updated,
|
||||
})
|
||||
except Exception as e:
|
||||
return [{"title": f"[Parse error: {e}]", "url": "", "score": 0, "num_comments": 0}]
|
||||
|
||||
return posts if posts else [{"title": "No posts found", "url": "", "score": 0, "num_comments": 0}]
|
||||
|
||||
|
||||
def fetch_pubmed_articles(term, max_results=5):
|
||||
"""Fetch recent PubMed articles on a broad topic."""
|
||||
base_url = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/"
|
||||
|
||||
# Search with retmode=json
|
||||
search_url = (
|
||||
f"{base_url}esearch.fcgi?"
|
||||
f"db=pubmed&term={urllib.parse.quote(term)}&"
|
||||
f"retmax={max_results}&sort=date&retmode=json"
|
||||
)
|
||||
content = fetch_url(search_url)
|
||||
if not content:
|
||||
return [{"title": f"[Could not reach PubMed for '{term}']", "url": "", "authors": "", "source": ""}]
|
||||
|
||||
try:
|
||||
search_data = json.loads(content)
|
||||
except json.JSONDecodeError:
|
||||
return [{"title": f"[Parse error for '{term}']", "url": "", "authors": "", "source": ""}]
|
||||
|
||||
id_list = search_data.get("esearchresult", {}).get("idlist", [])
|
||||
if not id_list:
|
||||
return [{"title": "No recent articles found", "url": "", "authors": "", "source": ""}]
|
||||
|
||||
# Respect NCBI rate limits: max 3 requests per second without API key
|
||||
time.sleep(1)
|
||||
|
||||
# Fetch details as XML
|
||||
details_url = (
|
||||
f"{base_url}efetch.fcgi?"
|
||||
f"db=pubmed&id={','.join(id_list)}&retmode=xml"
|
||||
)
|
||||
xml_data = fetch_url(details_url)
|
||||
if not xml_data:
|
||||
return [{"title": f"[Could not fetch details for '{term}']", "url": "", "authors": "", "source": ""}]
|
||||
|
||||
articles = []
|
||||
root = ElementTree.fromstring(xml_data)
|
||||
for article in root.findall(".//PubmedArticle")[:max_results]:
|
||||
medline = article.find(".//MedlineCitation")
|
||||
article_data = medline.find(".//Article") if medline is not None else None
|
||||
if article_data is None:
|
||||
continue
|
||||
|
||||
title_el = article_data.find("ArticleTitle")
|
||||
title = "".join(title_el.itertext()) if title_el is not None else "No title"
|
||||
|
||||
# Authors
|
||||
author_list = article_data.findall(".//Author")
|
||||
authors = []
|
||||
for author in author_list[:3]:
|
||||
last = author.find("LastName")
|
||||
fore = author.find("ForeName")
|
||||
if last is not None:
|
||||
name = last.text or ""
|
||||
if fore is not None:
|
||||
name += f" {fore.text or ''}"
|
||||
authors.append(name)
|
||||
author_str = ", ".join(authors) if authors else "Unknown"
|
||||
|
||||
# Journal
|
||||
journal = article_data.find(".//Journal/Title")
|
||||
journal_str = journal.text if journal is not None else "Unknown journal"
|
||||
|
||||
# PMID & link
|
||||
pmid = medline.find(".//PMID")
|
||||
pmid_str = pmid.text if pmid is not None else ""
|
||||
link = f"https://pubmed.ncbi.nlm.nih.gov/{pmid_str}/" if pmid_str else ""
|
||||
|
||||
articles.append({
|
||||
"title": title,
|
||||
"url": link,
|
||||
"authors": author_str,
|
||||
"source": journal_str,
|
||||
})
|
||||
|
||||
return articles if articles else [{"title": "No structured data", "url": "", "authors": "", "source": ""}]
|
||||
|
||||
|
||||
def main():
|
||||
output = []
|
||||
output.append(f"# Broad Research Scan — {datetime.now(timezone.utc).strftime('%Y-%m-%d %H:%M UTC')}")
|
||||
output.append(f"_Auto-generated. Not targeted — general scan of recent content._\n")
|
||||
|
||||
# --- Reddit ---
|
||||
output.append("## Reddit\n")
|
||||
for subreddit in SOURCES["reddit"]:
|
||||
output.append(f"### r/{subreddit}\n")
|
||||
posts = fetch_reddit_posts(subreddit)
|
||||
for post in posts:
|
||||
date_str = post.get("date", "?")
|
||||
score_str = post.get("score", "?")
|
||||
comments_str = post.get("num_comments", "?")
|
||||
output.append(f"- **{post['title']}**")
|
||||
if score_str != "?" or comments_str != "?" or date_str != "?":
|
||||
output.append(f" - Score: {score_str} | Comments: {comments_str} | {date_str}")
|
||||
output.append(f" - {post['url']}")
|
||||
output.append("")
|
||||
|
||||
# --- PubMed ---
|
||||
output.append("## PubMed — Recent Articles\n")
|
||||
for term in SOURCES["pubmed_terms"]:
|
||||
output.append(f"### Topic: \"{term}\"\n")
|
||||
articles = fetch_pubmed_articles(term)
|
||||
for article in articles:
|
||||
output.append(f"- **{article['title']}**")
|
||||
if article.get("authors") and article.get("source"):
|
||||
output.append(f" - {article['authors']} | {article['source']}")
|
||||
if article.get("url"):
|
||||
output.append(f" - {article['url']}")
|
||||
output.append("")
|
||||
|
||||
result = "\n".join(output)
|
||||
print(result)
|
||||
|
||||
# Save to dated file
|
||||
import os
|
||||
logs_dir = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))), "logs", "research")
|
||||
os.makedirs(logs_dir, exist_ok=True)
|
||||
date_str = datetime.now(timezone.utc).strftime("%Y-%m-%d")
|
||||
filename = os.path.join(logs_dir, f"{date_str}-broad-scan.md")
|
||||
with open(filename, "w") as f:
|
||||
f.write(result)
|
||||
print(f"\n--- Saved to {filename} ---", file=sys.stderr)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
79
logs/research/2026-06-26-broad-scan.md
Normal file
79
logs/research/2026-06-26-broad-scan.md
Normal file
@ -0,0 +1,79 @@
|
||||
# Broad Research Scan — 2026-06-26 00:58 UTC
|
||||
_Auto-generated. Not targeted — general scan of recent content._
|
||||
|
||||
## Reddit
|
||||
|
||||
### r/weightroom
|
||||
|
||||
- **[Could not reach r/weightroom]**
|
||||
- Score: 0 | Comments: 0 | ?
|
||||
-
|
||||
|
||||
### r/advancedfitness
|
||||
|
||||
- **[Could not reach r/advancedfitness]**
|
||||
- Score: 0 | Comments: 0 | ?
|
||||
-
|
||||
|
||||
### r/StrongerByScience
|
||||
|
||||
- **[Could not reach r/StrongerByScience]**
|
||||
- Score: 0 | Comments: 0 | ?
|
||||
-
|
||||
|
||||
## PubMed — Recent Articles
|
||||
|
||||
### Topic: "resistance training"
|
||||
|
||||
- **Advances in Clinical Management Strategies for Sarcopenia: From Exercise and Nutrition to Pharmacotherapy and Comprehensive Interventions.**
|
||||
- Xue Fei, Xu Hongyi, Yao Xinlei | Molecular neurobiology
|
||||
- https://pubmed.ncbi.nlm.nih.gov/42348067/
|
||||
- **Improved Neuromuscular Performance in Low-Load vs. Moderate-Load Resistance Training Among Young Elite Swimmers.**
|
||||
- Rodríguez-Rosell David, Neiva Henrique Pereira, Marinho Daniel Almeida | Sports (Basel, Switzerland)
|
||||
- https://pubmed.ncbi.nlm.nih.gov/42347471/
|
||||
- **Expression of Concern: Barbalho et al. Effects of Adding Single Joint Exercises to a Resistance Training Programme in Trained Women. Sports 2018, 6, 160.**
|
||||
- Sports Editorial Office | Sports (Basel, Switzerland)
|
||||
- https://pubmed.ncbi.nlm.nih.gov/42347464/
|
||||
- **Effects of Velocity-Based French Contrast Training on Lower-Limb Power and Delivery Kinetics in Medium-Fast Cricket Bowlers: A Randomized Controlled Trial.**
|
||||
- Zhao Qidong, Li Chunlei | Sports (Basel, Switzerland)
|
||||
- https://pubmed.ncbi.nlm.nih.gov/42347450/
|
||||
- **Maximum Sprints Elicit Higher Peak Knee Joint Power than Resistance Training Exercises.**
|
||||
- Alt Tobias, Clark Kenneth P, Augustsson Jesper | Sports (Basel, Switzerland)
|
||||
- https://pubmed.ncbi.nlm.nih.gov/42347445/
|
||||
|
||||
### Topic: "strength training programming"
|
||||
|
||||
- **Advances in Clinical Management Strategies for Sarcopenia: From Exercise and Nutrition to Pharmacotherapy and Comprehensive Interventions.**
|
||||
- Xue Fei, Xu Hongyi, Yao Xinlei | Molecular neurobiology
|
||||
- https://pubmed.ncbi.nlm.nih.gov/42348067/
|
||||
- **Resilience Building and Enhancing Mental Health: A Scoping Review of School-to-University Programs.**
|
||||
- Nakorn Siriphorn Na, Chandler Genevieve E | Journal of psychosocial nursing and mental health services
|
||||
- https://pubmed.ncbi.nlm.nih.gov/42347579/
|
||||
- **Improved Neuromuscular Performance in Low-Load vs. Moderate-Load Resistance Training Among Young Elite Swimmers.**
|
||||
- Rodríguez-Rosell David, Neiva Henrique Pereira, Marinho Daniel Almeida | Sports (Basel, Switzerland)
|
||||
- https://pubmed.ncbi.nlm.nih.gov/42347471/
|
||||
- **Expression of Concern: Barbalho et al. Effects of Adding Single Joint Exercises to a Resistance Training Programme in Trained Women. Sports 2018, 6, 160.**
|
||||
- Sports Editorial Office | Sports (Basel, Switzerland)
|
||||
- https://pubmed.ncbi.nlm.nih.gov/42347464/
|
||||
- **Sex-Based Differences in the Physical Capacity Profile of Regional Fencers.**
|
||||
- Gaviria Chavarro Javier, Jiménez Trujillo Óscar Hernán, Gómez García Miguel Ángel | Sports (Basel, Switzerland)
|
||||
- https://pubmed.ncbi.nlm.nih.gov/42347462/
|
||||
|
||||
### Topic: "exercise physiology"
|
||||
|
||||
- **Advances in Clinical Management Strategies for Sarcopenia: From Exercise and Nutrition to Pharmacotherapy and Comprehensive Interventions.**
|
||||
- Xue Fei, Xu Hongyi, Yao Xinlei | Molecular neurobiology
|
||||
- https://pubmed.ncbi.nlm.nih.gov/42348067/
|
||||
- **Post-diagnosis physical activity in relation to mortality among prostate cancer survivors: a systematic review and meta-analysis.**
|
||||
- Benker Pauline, Hamann Alina, Leitzmann Michael F | Cancer causes & control : CCC
|
||||
- https://pubmed.ncbi.nlm.nih.gov/42348026/
|
||||
- **Effects of High-Impact Exercise on Bone Marker Concentrations During Controlled Low Energy Availability in Recreational Female Runners.**
|
||||
- Sterringer Trisha, Sale Craig, Morozov Anna | Calcified tissue international
|
||||
- https://pubmed.ncbi.nlm.nih.gov/42348018/
|
||||
- **Perspective: Personalized Management of Oxidative and Nitrosative Stress in Post-Exercise Recovery with a Particular Emphasis on the Potential of Micro-Immunotherapy.**
|
||||
- Jacques Camille, Floris Ilaria | Sports (Basel, Switzerland)
|
||||
- https://pubmed.ncbi.nlm.nih.gov/42347463/
|
||||
- **Effects of High-Intensity Interval Training with Blood Flow Restriction Versus Normobaric Hypoxia on Physiological Parameters in Apparently Healthy Young Men.**
|
||||
- Narrea Vargas Jose Jairo, Castillo-Paredes Antonio, Iman Torres Alexander Javier | Sports (Basel, Switzerland)
|
||||
- https://pubmed.ncbi.nlm.nih.gov/42347455/
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user