Dos posts sobre el mismo caso se canibalizan en la SERP (2026-07-10: se publicó un segundo Kecksburg con otro ya programado, y había un título casi gemelo del de Malmstrom en la cola). Nueva función pura topic_collision(post, corpus) en seo_rules.py — corpus-aware, fuera de RULES — que dispara por: caso+año compartidos (años < 2020; los de la era de noticias no son identidad de caso), hooks de título ≥70% similares (calibrado: el par nuclear da 0.742, el par legítimo más cercano 0.65), o slugs ≥50% solapados. seo_validate.py obtiene el corpus via ghst-en (--limit all) y lo reporta como grupo topic_collision; --no-collision lo omite para follow-ups intencionados. Calibrado contra los 36 posts reales: dispara solo el duplicado Kecksburg (HIGH) y el par Grusch preview/evento (MED, intencionado). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
310 lines
12 KiB
Python
310 lines
12 KiB
Python
"""
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Reusable SEO rule engine for The Exclusion Zone (EN) — theexclusionzone.com (Ghost).
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Pure functions, NO I/O. Feed it a Ghost Admin API post dict (with `html` format
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included) and it returns a list of Violation(rule, severity, message, fix).
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Shared by:
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- seo_audit.py — Tool A, site-wide auditor (this engine, run over all posts)
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- (future) seo_validate.py — Tool C, pre-publish validator (same engine, one draft)
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Design note: every check is an independent function registered in RULES. To add a
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rule, write a function (post) -> list[Violation] and append it to RULES. The auditor
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and the validator both just call check_post(); they never re-implement a check.
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"""
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import re
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from collections import namedtuple
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SITE_HOST = "theexclusionzone.com"
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# ---- thresholds (single source of truth, reused by validator) -------------
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META_TITLE_MAX = 60
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META_DESC_MAX = 145
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CUSTOM_EXCERPT_MAX = 300
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MIN_INTERNAL_LINKS = 2
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# ---- severity weights (used to rank "worst first") ------------------------
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HIGH, MED, LOW, INFO = 3, 2, 1, 0
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SEV_NAME = {HIGH: "HIGH", MED: "MED", LOW: "LOW", INFO: "INFO"}
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# The Edition-main theme injects BlogPosting JSON-LD globally in default.hbs
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# ({{#is "post"}} ... <script type="application/ld+json"> @type BlogPosting),
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# plus Ghost's own {{ghost_head}}. So JSON-LD is handled site-wide and is NOT a
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# per-post rule. Flip to False only if that theme block is ever removed.
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THEME_HANDLES_JSONLD = True
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Violation = namedtuple("Violation", "rule severity message fix")
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def _s(v):
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return v if isinstance(v, str) else ""
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def _empty(v):
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return not (isinstance(v, str) and v.strip())
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# First path segments that are NOT article posts on a Ghost site (tags, authors,
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# pagination, static content, etc.). Keeps root-relative link counting from
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# treating /tag/foo or /content/images/... as an internal article link.
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NON_POST_PREFIXES = {
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"tag", "tags", "author", "page", "p", "content", "assets",
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"rss", "ghost", "members", "404", "sitemap",
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}
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def _internal_slug(href, self_slug):
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"""Return the article slug an href points to if it's an internal POST link,
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else None. Accepts both absolute (contains SITE_HOST) and root-relative
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("/slug/") forms; rejects protocol-relative ("//host"), anchors, mailto,
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external links, static assets, and known non-post sections."""
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if SITE_HOST in href:
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path = re.sub(r"^https?://[^/]+/", "", href)
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elif href.startswith("/") and not href.startswith("//"):
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path = href[1:]
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else:
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return None
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slug = path.strip("/").split("/")[0]
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if not slug or slug == self_slug:
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return None
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if slug in NON_POST_PREFIXES or "." in slug: # section page or static asset
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return None
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return slug
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def internal_links(post):
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"""Distinct internal article slugs linked from the body, excluding self-links.
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Counts BOTH absolute internal links (href containing SITE_HOST) and
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root-relative links ("/slug/"), so a Ghost-relative link isn't miscounted as
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"too few". Tool A (auditor) and Tool C (validator) share this, staying in sync.
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"""
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html = _s(post.get("html"))
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self_slug = post.get("slug")
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out = set()
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for m in re.finditer(r'href="([^"#]+)"', html):
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slug = _internal_slug(m.group(1), self_slug)
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if slug:
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out.add(slug)
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return out
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# --- individual rules -------------------------------------------------------
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def r_meta_title(p):
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mt = _s(p.get("meta_title"))
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title = _s(p.get("title"))
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if _empty(mt):
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sev = MED if len(title) > META_TITLE_MAX else LOW
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return [Violation("meta_title.missing", sev,
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f"meta_title missing → falls back to title ({len(title)} chars"
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+ (f", which is >{META_TITLE_MAX}!" if len(title) > META_TITLE_MAX else "") + ")",
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"set meta_title")]
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if len(mt) > META_TITLE_MAX:
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return [Violation("meta_title.too_long", MED,
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f"meta_title {len(mt)} chars > {META_TITLE_MAX}", "shorten meta_title")]
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return []
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def r_meta_description(p):
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md = _s(p.get("meta_description"))
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if _empty(md):
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return [Violation("meta_description.missing", HIGH,
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"meta_description MISSING (no SERP snippet control)", "write meta_description")]
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if len(md) > META_DESC_MAX:
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return [Violation("meta_description.too_long", MED,
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f"meta_description {len(md)} chars > {META_DESC_MAX} (will be truncated in SERP)",
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"shorten meta_description")]
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return []
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def r_custom_excerpt(p):
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ce = _s(p.get("custom_excerpt"))
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if ce and len(ce) > CUSTOM_EXCERPT_MAX:
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return [Violation("custom_excerpt.too_long", LOW,
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f"custom_excerpt {len(ce)} chars > {CUSTOM_EXCERPT_MAX}", "shorten custom_excerpt")]
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return []
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def r_social_fields(p):
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"""OG/Twitter empties — the safest auto-fixable category (mirror meta_*)."""
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out = []
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fallbacks = {
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"og_title": "meta_title",
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"og_description": "meta_description",
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"twitter_title": "meta_title",
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"twitter_description": "meta_description",
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}
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for field, src in fallbacks.items():
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if _empty(p.get(field)):
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out.append(Violation(f"{field}.empty", LOW,
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f"{field} empty", f"mirror from {src}"))
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return out
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def r_feature_image(p):
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out = []
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if _empty(p.get("feature_image")):
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out.append(Violation("feature_image.missing", MED,
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"feature_image missing (no social/share card image)", "add feature image"))
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else:
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if _empty(p.get("feature_image_alt")):
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out.append(Violation("feature_image_alt.missing", LOW,
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"feature_image_alt missing (a11y + image SEO)", "add feature image alt text"))
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return out
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def r_internal_links(p):
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n = len(internal_links(p))
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if n < MIN_INTERNAL_LINKS:
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return [Violation("internal_links.too_few", MED,
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f"{n} internal link(s) < {MIN_INTERNAL_LINKS} (weak interlinking)",
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"add internal links to related articles")]
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return []
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def r_title_equals_meta(p):
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mt = _s(p.get("meta_title"))
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title = _s(p.get("title"))
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if mt and mt == title:
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return [Violation("title_eq_meta_title", INFO,
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"meta_title identical to title (often fine; review)", "")]
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return []
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def r_jsonld(p):
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if THEME_HANDLES_JSONLD:
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return []
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return [Violation("jsonld.missing", MED, "no BlogPosting JSON-LD", "add JSON-LD")]
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# ---- topic collision (corpus-aware; NOT in RULES) ---------------------------
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# Two posts about the same case cannibalize each other in the SERP (2026-07-10:
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# a second Kecksburg post was published while another sat scheduled; a "When
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# Nuclear ... Went/Go Silent" near-twin title was already queued). RULES functions
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# are (post) -> violations; this one also needs the rest of the site, so callers
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# (seo_validate.py) pass the corpus explicitly: published + scheduled posts as
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# dicts with at least {id, title, slug}.
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TOPIC_STOPWORDS = {
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# english glue
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"the", "a", "an", "of", "and", "in", "at", "on", "to", "that", "what",
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"when", "who", "why", "how", "its", "his", "her", "their", "our", "one",
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"still", "cant", "couldnt", "went", "go", "goes", "most", "from", "with",
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"they", "them", "these", "this", "are", "were", "was", "is", "be", "been",
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"has", "have", "had", "but", "for", "all", "than", "then", "ever", "never",
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# domain-generic (present in half the catalog — carry no case identity)
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"ufo", "ufos", "uap", "uaps", "incident", "incidents", "case", "cases",
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"file", "files", "mystery", "declassified", "declassification", "pentagon",
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"government", "military", "congress", "secret", "program", "investigation",
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"evidence", "witness", "witnesses", "document", "documents", "documented",
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"unexplained", "encounter", "sighting", "sightings", "alien", "aliens",
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"phenomena", "aerial", "unidentified", "extraordinary", "americas",
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"american", "video", "footage",
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}
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# 0.70 calibrated 2026-07-10: the "When Nuclear Weapons Go / Arsenal Went
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# Silent" near-twin pair scores 0.742 (char-level penalizes weapons/arsenal);
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# the closest legit-distinct pair in the catalog scores 0.65.
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TITLE_HOOK_SIM_MIN = 0.70 # SequenceMatcher on the pre-colon hook
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SLUG_JACCARD_MIN = 0.5 # shared slug-token ratio
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# Years >= this are "news era", not case identity: every contemporary post
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# carries the current year (PURSUE 2026, Grusch 2026...) without being the same
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# story. Case years in the catalog run 1947-2019.
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NEWS_YEAR_MIN = 2020
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_YEAR_RE = re.compile(r"\b(19|20)\d{2}\b")
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def _tokens(text):
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return set(re.findall(r"[a-z0-9]+", _s(text).lower()))
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def _case_years(title, slug):
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"""Historical case years (pre news-era) found in title+slug."""
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return {m.group(0) for m in _YEAR_RE.finditer(title + " " + slug)
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if int(m.group(0)) < NEWS_YEAR_MIN}
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def _sig_tokens(title, slug):
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"""Case-identity tokens: title+slug minus glue/domain words, years and
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fragments shorter than 3 chars (possessive 's', initials...)."""
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toks = _tokens(title) | _tokens(slug.replace("-", " "))
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return {t for t in toks
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if len(t) >= 3 and t not in TOPIC_STOPWORDS and not _YEAR_RE.fullmatch(t)}
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def _hook(title):
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return _s(title).split(":")[0].strip().lower()
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def topic_collision(post, corpus):
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"""Compare one candidate post against the site corpus → list[Violation].
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Fires when the candidate and an existing post look like the same story:
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- share a case year AND a case-identity token (Kecksburg+1965), or
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- their pre-colon title hooks read nearly the same, or
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- their slugs share most of their tokens.
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"""
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from difflib import SequenceMatcher
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out = []
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c_years = _case_years(_s(post.get("title")), _s(post.get("slug")))
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c_sig = _sig_tokens(post.get("title"), _s(post.get("slug")))
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c_hook = _hook(post.get("title"))
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c_slug_toks = _tokens(_s(post.get("slug")).replace("-", " "))
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for other in corpus:
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if other.get("id") == post.get("id"):
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continue
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o_title, o_slug = _s(other.get("title")), _s(other.get("slug"))
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o_years = _case_years(o_title, o_slug)
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o_sig = _sig_tokens(o_title, o_slug)
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reasons = []
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if (c_years & o_years) and (c_sig & o_sig):
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shared = ", ".join(sorted(c_sig & o_sig)[:3] + sorted(c_years & o_years))
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reasons.append((HIGH, f"same case + year ({shared})"))
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hook_sim = SequenceMatcher(None, c_hook, _hook(o_title)).ratio()
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if c_hook and hook_sim >= TITLE_HOOK_SIM_MIN:
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reasons.append((MED, f"title hooks {hook_sim:.0%} similar"))
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o_slug_toks = _tokens(o_slug.replace("-", " "))
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union = c_slug_toks | o_slug_toks
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if union:
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jac = len(c_slug_toks & o_slug_toks) / len(union)
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if jac >= SLUG_JACCARD_MIN:
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reasons.append((MED, f"slugs {jac:.0%} overlapping"))
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if reasons:
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sev = max(s for s, _ in reasons)
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why = "; ".join(r for _, r in reasons)
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out.append(Violation(
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"topic.collision", sev,
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f"collides with [{other.get('status', '?')}] \"{o_title[:60]}\" — {why}",
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"merge, retitle to a distinct angle, or interlink deliberately"))
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return out
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RULES = [
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r_meta_title,
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r_meta_description,
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r_custom_excerpt,
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r_social_fields,
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r_feature_image,
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r_internal_links,
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r_title_equals_meta,
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r_jsonld,
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]
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def check_post(post):
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"""Run every rule against one post dict → list[Violation]."""
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out = []
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for rule in RULES:
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out.extend(rule(post))
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return out
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def score(violations):
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"""Total severity weight (for ranking posts worst-first); INFO counts 0."""
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return sum(v.severity for v in violations)
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