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athena-oracle/recency_guard.py
T

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7.2 KiB
Python

#!/usr/bin/env python3
"""
recency_guard.py — Athena "how old is this news?" gate (Tony's correction, 2026-07-13).
THE PROBLEM IT SOLVES:
The old pipeline ranked by virality + editorial fit ONLY. That surfaced the
SAME stories week after week (Apple-vs-OpenAI, GPT-5.6, etc.) because the
curation had NO memory of what was already posted. Tony's rule:
"when you receive the news stories, morality [editorial fit] is only ONE
measure. The OTHER measure -- maybe MORE important -- is how OLD is the
news. Today is Monday; the week's news is just beginning, so we begin the
week with stories dated for TODAY."
So AGE is the dominant gate. The algorithm (editorial, not render-time):
* TODAY's items -> ALWAYS eligible. They are this week's fresh news; a
Monday stack leads with them even if rendered earlier today.
* OLDER items -> eligible ONLY if NEVER posted before (not in the
markdown Top-N stack history AND not in seen_urls.json).
This kills the re-post problem at the source.
WHAT IS "ALREADY POSTED":
Two signals, differing in authority:
- athena_top*.md = the CURATED/PUBLIC stack history (authoritative)
- seen_urls.json = the live-site render dedup (secondary; ALSO flags items
rendered in prior runs TODAY, which we must NOT drop)
Because seen_urls.json contains today's own items, we only treat a seen_url
as "already posted" when the candidate is OLDER than today. Today's items are
exempt from the seen_urls gate entirely (fresh by definition).
EXPORTS:
load_posted() -> (md_urls, md_titles, seen_urls) sets
is_today(first_seen, now)
age_days(first_seen, now)
day_bucket(first_seen, now)
already_posted_fs(url,title,fs,now) -> bool (age-aware dedup)
filter_fresh(items, now) -> (today_items, older_new_items, dropped_items)
recency_weight(first_seen, now) -> float (1.0 today -> ~0 over 7d)
blend_score(item, now) -> clickability_decayed * recency_weight
Read-only against markdown + json + passed-in items. No DB writes.
"""
import os, re, json
from datetime import datetime, timezone
ORACLE = os.path.dirname(os.path.abspath(__file__))
SEEN_JSON = "/home/vpsadmin/ai-oracle-site/seen_urls.json"
def _parse(ts):
if not ts:
return None
try:
return datetime.fromisoformat(ts.replace("Z", "+00:00"))
except Exception:
return None
def _norm_url(u):
if not u:
return ""
return u.split("?")[0].split("#")[0].rstrip("/").lower()
def _norm_title(t):
if not t:
return ""
t = t.lower()
t = re.sub(r"[^a-z0-9 ]", " ", t)
t = re.sub(r"\s+", " ", t).strip()
return t[:60]
def load_posted(md_dir=ORACLE, seen_json=SEEN_JSON):
"""Return (md_urls:set, md_titles:set, seen_urls:set)."""
md_urls, md_titles, seen_urls = set(), set(), set()
for fn in sorted(os.listdir(md_dir)):
if re.match(r"athena_top.*\.md$", fn):
try:
txt = open(os.path.join(md_dir, fn), encoding="utf-8", errors="replace").read()
except OSError:
continue
for m in re.findall(r"\]\((https?://[^)\s]+)\)", txt):
nu = _norm_url(m)
if nu:
md_urls.add(nu)
for t in re.findall(r"^\|\s*\d+\s*\|\s*(.+?)\s*\|", txt, re.M):
nt = _norm_title(t)
if nt:
md_titles.add(nt)
if os.path.exists(seen_json):
try:
with open(seen_json, encoding="utf-8") as f:
for u in json.load(f):
nu = _norm_url(u)
if nu:
seen_urls.add(nu)
except (json.JSONDecodeError, OSError):
pass
return md_urls, md_titles, seen_urls
def is_today(first_seen, now=None):
now = now or datetime.now(timezone.utc)
d = _parse(first_seen)
return bool(d) and d.strftime("%Y-%m-%d") == now.strftime("%Y-%m-%d")
def age_days(first_seen, now=None):
now = now or datetime.now(timezone.utc)
d = _parse(first_seen)
if not d:
return 9999.0
return max((now - d).total_seconds() / 86400.0, 0.0)
def day_bucket(first_seen, now=None):
"""'today' | 'yesterday' | 'this-week' (<=6d) | 'older'."""
days = age_days(first_seen, now)
if days < 1:
return "today"
if days < 2:
return "yesterday"
if days <= 6:
return "this-week"
return "older"
def already_posted_fs(url, title, first_seen, now=None,
md_urls=None, md_titles=None, seen_urls=None):
"""Age-aware dedup. A candidate is 'already posted' iff:
(a) it matches the curated md-stack history, OR
(b) it is OLDER than today AND its URL is in seen_urls.json.
Today's items are NEVER flagged -- they are fresh by definition.
"""
if md_urls is None or md_titles is None or seen_urls is None:
md_urls, md_titles, seen_urls = load_posted()
if _norm_url(url) in md_urls:
return True
nt = _norm_title(title)
if nt and nt in md_titles:
return True
if is_today(first_seen, now):
return False
if _norm_url(url) in seen_urls:
return True
return False
def recency_weight(first_seen, now=None, half_life_days=2.0):
"""1.0 for today, decays ~halving every 2 days. The 'age' measure."""
return 0.5 ** (age_days(first_seen, now) / half_life_days)
def blend_score(item, now=None):
"""clickability_decayed * recency_weight. Today's items dominate; old sink."""
base = item.get("clickability_decayed", 0) or 0
return base * recency_weight(item.get("first_seen"), now)
def filter_fresh(items, now=None):
"""Split into (today_items, older_new_items, dropped_items).
today_items = first_seen == today (always eligible; the week-open lead)
older_new_items= older, but never before posted (md/seen)
dropped_items = older AND already posted (the re-posts we are killing)
"""
now = now or datetime.now(timezone.utc)
md_urls, md_titles, seen_urls = load_posted()
today_items, older_new, dropped = [], [], []
for it in items:
fs = it.get("first_seen")
if is_today(fs, now):
today_items.append(it)
continue
if already_posted_fs(it.get("url"), it.get("title"), fs, now,
md_urls, md_titles, seen_urls):
dropped.append(it)
else:
older_new.append(it)
return today_items, older_new, dropped
if __name__ == "__main__":
import sys
sys.path.insert(0, ORACLE)
import clickability as cb
DB = os.path.join(ORACLE, "oracle.db")
conn = sqlite3.connect(f"file:{DB}?mode=ro", uri=True)
items = cb.fetch_items(conn); conn.close()
items = cb.compute_index(items); items = cb.decay_index(items)
today_items, older_new, dropped = filter_fresh(items)
print(f"TODAY-new (week-open lead): {len(today_items)}")
print(f"OLDER-but-never-posted: {len(older_new)}")
print(f"DROPPED (already posted): {len(dropped)}")
print("\nSample dropped (the re-posts that caused the problem):")
for it in sorted(dropped, key=lambda x: -x["clickability_decayed"])[:6]:
print(f" - [{it['clickability_decayed']:.3f}] {it['title'][:66]}")