Author SHA1 Message Date
Renovate Bot 5fd6c30506 chore(deps): update dependency pydantic-settings to v2.14.2 2026-06-19 18:00:28 +00:00
18 changed files with 142 additions and 2079 deletions
-15
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@@ -20,21 +20,6 @@ jobs:
with:
ssl-verify: false
- name: Verify vendored SEO engine
run: |
set -e
CANON_URL="http://gitea.gitea.svc.cluster.local:3000/chemavx/chemavx-seo-tools/raw/branch/main/seo_rules.py"
curl -fsS -u "chemavx:${{ secrets.CI_TOKEN }}" "$CANON_URL" -o /tmp/canonical_seo_rules.py
N=$(grep -n "BEGIN VENDORED seo_rules.py" src/seo/rules.py | head -1 | cut -d: -f1)
tail -n +$((N+1)) src/seo/rules.py > /tmp/vendored_body.py
if cmp -s /tmp/canonical_seo_rules.py /tmp/vendored_body.py; then
echo "OK: vendored SEO engine matches canonical chemavx-seo-tools/seo_rules.py"
else
echo "::error::SEO ENGINE DRIFT — src/seo/rules.py != canonical seo_rules.py. Run 'make sync-seo' and commit."
diff -u /tmp/canonical_seo_rules.py /tmp/vendored_body.py | head -40 || true
exit 1
fi
- name: Set image tag
id: tag
run: echo "TAG=${GITHUB_SHA::8}" >> $GITHUB_OUTPUT
-62
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@@ -1,62 +0,0 @@
# ResearchOwl — Known Issues & Operational Gotchas
## Brotli / aiohttp incompatibility
Do NOT install any brotli backend (`Brotli`, `brotlicffi`) while on aiohttp 3.14.x.
aiohttp's incremental brotli decompressor is broken and fails intermittently
depending on stream chunking ("Can not decode content-encoding: br" on VALID
streams — the same bytes decompress fine offline; httpx is unaffected).
Extra trap: merely *installing* a backend makes aiohttp advertise `br` in the
default `Accept-Encoding` of every session that doesn't set one explicitly.
On 2026-07-04 a scraper fix installed brotlicffi and inadvertently enabled br
project-wide: Ghost/Cloudflare responded in brotli, the decode blew up AFTER
Ghost had already accepted the POST, and the publish fallback re-published →
duplicate drafts + silently lost SEO notices.
Fix applied (commits `397546a` + `76c927f` + `7d07375`, guard relocated
2026-07-05):
- no brotli backend in requirements.txt (comment there explains why),
- explicit `Accept-Encoding: gzip, deflate` on all Ghost/autofill aiohttp
sessions and on the scraper HEADERS (`57f341f`),
- duplicate guard INSIDE `GhostPublisher.publish_draft` (covers every caller,
including `/publish`): if the POST is accepted (2xx) but reading the response
fails, it recovers the just-created draft via `find_draft_by_title(title,
since=attempt_start)` instead of raising. The guard only fires after an
accepted POST — a pre-POST failure (Ollama down, menu fetch, links) never
triggers it, so a stale same-title draft from a previous run can no longer
swallow freshly generated content.
Note: with no backend installed there is NO brotli fallback at all — a server
that responds `Content-Encoding: br` without it being advertised (misbehaving
CDN) fails undecodable and that source is lost. Accepted trade-off.
The header value lives in one place: `SAFE_ACCEPT_ENCODING` in `src/config.py`.
Every aiohttp session/request must use it explicitly — never rely on aiohttp's
default Accept-Encoding, which silently grows `br` if a backend appears.
Re-test with disclosure.org before ever re-enabling br (e.g. after an aiohttp
upgrade).
## SQLite WAL mode + read-only mounts
The database runs in WAL mode, so even read-only access needs the `-shm` file
writable, or must open with `sqlite3 "file:...?immutable=1"`. Backups (daily
CronJob `researchowl-db-backup`, 03:00 Europe/Madrid, PVC `researchowl-backups`,
7-day retention) inherit WAL mode: to inspect one from a read-only mount use
`?immutable=1`; to restore, copy it to a writable location first.
## DDG (duckduckgo_search) blocks the event loop
`DDGS()` is synchronous (blocking requests inside). Never call it directly from
async code — always wrap in `loop.run_in_executor()` (see `_ddg_text_sync` /
`_ddg_videos_sync` in `src/scraper/exhaustive.py`). Direct calls froze the
entire Telegram bot during searches until fixed on 2026-07-04 (`8dfd011`).
## Google News RSS is a dead end from this infrastructure
`news.google.com/rss` entry links point to `/rss/articles/CBMi…` redirects that
hit a consent wall from EU IPs, and the inner `AU_yqL` id is only resolvable via
Google's private batchexecute API. Do not retry. The news seed uses Bing News
RSS instead (`ENABLE_NEWS_SEED`, real publisher URL in the `?url=` param of
apiclick.aspx — unwrapped by `_unwrap_news_link`).
-30
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@@ -1,30 +0,0 @@
# ResearchOwl — developer tasks.
#
# SEO engine vendoring: src/seo/rules.py is a byte-for-byte copy of the canonical
# seo_rules.py (repo git.chemavx.xyz/chemavx/chemavx-seo-tools; local working copy
# ~/seo-tools). These targets keep the vendored copy in sync; CI enforces it too.
SEO_TOOLS_DIR ?= $(HOME)/seo-tools
CANON := $(SEO_TOOLS_DIR)/seo_rules.py
VENDORED := src/seo/rules.py
HEADER := src/seo/_vendor_header.py
MARKER := BEGIN VENDORED seo_rules.py
.PHONY: sync-seo check-seo-sync
sync-seo: ## Re-copy canonical seo_rules.py into the vendored file + record hash
@test -f "$(CANON)" || { echo "canonical not found at $(CANON)"; exit 1; }
@cat "$(HEADER)" "$(CANON)" > "$(VENDORED)"
@sha256sum "$(CANON)" | cut -d' ' -f1 > src/seo/.rules.sha256
@echo "synced $(VENDORED) from $(CANON) (sha $$(cat src/seo/.rules.sha256))"
check-seo-sync: ## Fail if the vendored copy diverges from the local canonical
@test -f "$(CANON)" || { echo "canonical not found at $(CANON) — skipping (run on a machine with seo-tools)"; exit 0; }
@N=$$(grep -n "$(MARKER)" "$(VENDORED)" | head -1 | cut -d: -f1); \
tail -n +$$((N+1)) "$(VENDORED)" > /tmp/_vendored_body.py; \
if cmp -s /tmp/_vendored_body.py "$(CANON)"; then \
echo "seo engine in sync ($(VENDORED) == $(CANON))"; \
else \
echo "SEO ENGINE DRIFT: $(VENDORED) != $(CANON). Run 'make sync-seo' and commit."; \
diff -u "$(CANON)" /tmp/_vendored_body.py | head -40; exit 1; \
fi
+14 -17
View File
@@ -1,28 +1,25 @@
# Core
python-telegram-bot==22.8
httpx==0.28.1
aiohttp==3.14.1
# NO instalar backend brotli (Brotli/brotlicffi): el decode incremental br de
# aiohttp 3.14 está roto (falla con streams válidos según el troceo), y con un
# backend presente aiohttp anuncia br POR DEFECTO en toda sesión sin
# Accept-Encoding explícito — el 2026-07-04 eso rompió publish_draft/autofill
# contra Ghost/Cloudflare (drafts duplicados). Sin backend, nada anuncia br.
fastapi==0.115.0
uvicorn==0.30.0
python-telegram-bot==21.5
httpx==0.27.0
aiohttp==3.10.0
# Scraping
beautifulsoup4==4.15.0
lxml==5.4.0
beautifulsoup4==4.12.3
lxml==5.2.2
trafilatura==1.12.2
youtube-transcript-api==0.6.3
pdfplumber==0.11.10
pdfplumber==0.11.9
feedparser==6.0.12
duckduckgo-search==6.4.2
duckduckgo-search==6.2.6
# Storage & Embeddings
sqlite-vec==0.1.9
aiosqlite==0.22.1
aiosqlite==0.20.0
# Processing
tiktoken==0.13.0
tiktoken==0.7.0
numpy==1.26.4
scikit-learn==1.5.1
@@ -30,12 +27,12 @@ scikit-learn==1.5.1
anthropic>=0.40.0
# PDF export
markdown==3.10.2
markdown==3.7
reportlab==4.2.5
# Utilities
pydantic==2.13.4
pydantic==2.8.0
pydantic-settings==2.14.2
tenacity==9.0.0
structlog==24.4.0
python-dotenv==1.2.2
python-dotenv==1.0.1
+4 -90
View File
@@ -5,12 +5,12 @@ Main user interface — all commands handled here
import asyncio
import os
import time
from datetime import datetime, timedelta, timezone
from datetime import datetime, timedelta
from typing import Optional
from zoneinfo import ZoneInfo
import structlog
from telegram import Update, Message, LinkPreviewOptions
from telegram import Update, Message
from telegram.ext import (
Application, CommandHandler, MessageHandler,
filters, ContextTypes
@@ -22,7 +22,6 @@ from src.db.database import get_db, close_db, ResearchDB, ResearchStatus, Output
from src.scraper.exhaustive import ExhaustiveScraper
from src.processor.processor import OllamaClient, ContentProcessor
from src.generator.generator import OutputGenerator
from src.news.monitor import poll_feeds, item_from_row, format_digest
logger = structlog.get_logger()
@@ -279,11 +278,7 @@ async def cmd_generate(update: Update, ctx: ContextTypes.DEFAULT_TYPE):
chat_id = update.effective_chat.id
output_arg = ctx.args[0].lower() if ctx.args else ""
rest = [a.lower() for a in ctx.args[1:]]
lang = "en" if "en" in rest else "es"
# `/generate blog en dry` forces SEO dry-run for this one call (proposes SEO to
# Telegram, writes a bare draft). Global default still comes from SEO_AUTOFILL.
seo_override = "dryrun" if ("dry" in rest or "dryrun" in rest) else None
lang = "en" if len(ctx.args) > 1 and ctx.args[1].lower() == "en" else "es"
type_map = {
"podcast": OutputType.PODCAST,
@@ -352,8 +347,7 @@ async def cmd_generate(update: Update, ctx: ContextTypes.DEFAULT_TYPE):
processor = ContentProcessor(db, ollama)
generator = OutputGenerator(db, ollama, processor)
output = await generator.generate(session_id, output_type, gen_progress,
lang=lang, seo_override=seo_override)
output = await generator.generate(session_id, output_type, gen_progress, lang=lang)
# Send as file if very long
if len(output) > 8000:
@@ -390,18 +384,6 @@ async def cmd_generate(update: Update, ctx: ContextTypes.DEFAULT_TYPE):
else:
await send_chunked(update.message, output)
# SEO autofill / dry-run summary — a SEPARATE short message so it is never
# buried inside the long .md document. None on the flag-off path.
if getattr(generator, "last_publish_notice", None):
try:
await update.message.reply_text(
generator.last_publish_notice,
parse_mode=ParseMode.MARKDOWN,
link_preview_options=LinkPreviewOptions(is_disabled=True),
)
except Exception as e:
logger.warning("Failed to send SEO summary message", error=str(e))
try:
stats = await db.get_usage_stats(session_id)
total_cost = sum(s.get("total_cost", 0) for s in stats)
@@ -504,36 +486,6 @@ async def cmd_outputs(update: Update, ctx: ContextTypes.DEFAULT_TYPE):
await db_conn.close()
async def cmd_news(update: Update, ctx: ContextTypes.DEFAULT_TYPE):
"""Monitor RSS manual (sin scheduler — F2 lo automatiza). Refresca news_seen
(siembra en cold-start) y muestra las novedades matcheadas de las últimas 24h."""
if not is_authorized(update.effective_user.id):
return
db_conn = await get_db()
db = ResearchDB(db_conn)
try:
await update.message.reply_text("📡 Buscando novedades UAP/OVNI…")
try:
await poll_feeds(db, settings) # refresca tabla (siembra en cold-start)
except Exception:
logger.exception("news poll failed") # best-effort: nunca rompe el comando
recent = await db.get_recent_news(24)
if not recent:
await update.message.reply_text("Sin novedades UAP/OVNI en las últimas 24h.")
return
items = [item_from_row(r) for r in recent]
for chunk in format_digest(items):
# Previews activos a propósito (el digest gana con la tarjeta del link).
await update.message.reply_text(
chunk, link_preview_options=LinkPreviewOptions(is_disabled=False)
)
finally:
await db_conn.close()
async def cmd_costs(update: Update, ctx: ContextTypes.DEFAULT_TYPE):
if not is_authorized(update.effective_user.id):
return
@@ -882,9 +834,6 @@ async def _safe_send(bot, chat_id, text: str):
async def _scheduler_loop(app: Application):
# Estado en memoria (no en DB): en un reinicio re-polla una vez, inofensivo
# porque solo se empujan items notified=0 y se marcan tras enviarlos.
_last_news_poll: Optional[datetime] = None
while True:
db_conn = None
try:
@@ -944,40 +893,6 @@ async def _scheduler_loop(app: Application):
app.bot, chat_id,
f"🔄 Investigación automática iniciada: `{topic}`"
)
# --- Monitor de noticias (F2) — inerte si NEWS_ENABLED=False.
# Best-effort: un fallo del news-poll NUNCA tumba el scheduler de
# watched_topics (va en su propio try/except).
if settings.NEWS_ENABLED:
now = datetime.now(timezone.utc)
interval = timedelta(hours=settings.NEWS_POLL_INTERVAL_HOURS)
due_news = (_last_news_poll is None
or (now - _last_news_poll) >= interval)
if due_news:
_last_news_poll = now # marca antes de pollear: evita reintentos en bucle si falla
news_chat_id = settings.news_chat_id
if not news_chat_id:
logger.warning("NEWS_ENABLED pero sin chat destino; salto poll")
else:
try:
await poll_feeds(db, settings) # inserta novedades notified=0
pending = await db.get_unnotified() # TODOS los pendientes
if pending:
shown = pending[:settings.NEWS_MAX_ITEMS]
extra = len(pending) - len(shown)
items = [item_from_row(r) for r in shown]
chunks = format_digest(items, header="🛸 Novedades UAP/OVNI")
if extra > 0 and chunks:
chunks[-1] += f"\n…y {extra} más."
for c in chunks:
await app.bot.send_message(
chat_id=news_chat_id, text=c,
link_preview_options=LinkPreviewOptions(is_disabled=False),
)
# Marca todos los pendientes (incluidos los "…y N más")
await db.mark_news_notified([r["id"] for r in pending])
except Exception as e:
logger.warning("News poll/notify falló", error=str(e))
except Exception as e:
logger.warning("Scheduler loop error", error=str(e))
finally:
@@ -1360,7 +1275,6 @@ def create_bot() -> Application:
app.add_handler(CommandHandler("generate", cmd_generate))
app.add_handler(CommandHandler("sources", cmd_sources))
app.add_handler(CommandHandler("outputs", cmd_outputs))
app.add_handler(CommandHandler("news", cmd_news))
app.add_handler(CommandHandler("export", cmd_export))
app.add_handler(CommandHandler("costs", cmd_costs))
app.add_handler(CommandHandler("watch", cmd_watch))
+30 -87
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@@ -1,99 +1,59 @@
from pydantic_settings import BaseSettings, SettingsConfigDict
from pydantic_settings import BaseSettings
from pydantic import Field
from typing import Optional
# Accept-Encoding para TODA petición aiohttp del proyecto. Nunca anunciar "br":
# el descompresor incremental de aiohttp 3.14 está roto, y con un backend brotli
# instalado aiohttp lo anunciaría POR DEFECTO en cualquier sesión sin
# Accept-Encoding explícito (incidente 2026-07-04, ver KNOWN-ISSUES.md).
# Toda sesión/petición nueva debe usar esta constante, no un literal.
SAFE_ACCEPT_ENCODING = "gzip, deflate"
class Settings(BaseSettings):
# Telegram
telegram_bot_token: str = Field(...)
telegram_allowed_users: str = Field("") # comma-separated user IDs
telegram_bot_token: str = Field(..., env="TELEGRAM_BOT_TOKEN")
telegram_allowed_users: str = Field("", env="TELEGRAM_ALLOWED_USERS") # comma-separated user IDs
# Ollama
ollama_url: str = Field("http://ollama.chemavx.xyz")
ollama_model: str = Field("qwen2.5:3b")
ollama_embed_model: str = Field("qwen2.5:3b")
ollama_url: str = Field("http://ollama.chemavx.xyz", env="OLLAMA_URL")
ollama_model: str = Field("qwen2.5:3b", env="OLLAMA_MODEL")
ollama_embed_model: str = Field("qwen2.5:3b", env="OLLAMA_EMBED_MODEL")
# Claude fallback (optional)
anthropic_api_key: Optional[str] = Field(None)
claude_model: str = Field("claude-haiku-4-5")
anthropic_api_key: Optional[str] = Field(None, env="ANTHROPIC_API_KEY")
claude_model: str = Field("claude-haiku-4-5", env="CLAUDE_MODEL")
# Database
db_path: str = Field("/data/researchowl.db")
db_path: str = Field("/data/researchowl.db", env="DB_PATH")
# Scraping
max_depth: int = Field(3) # recursion depth
max_sources: int = Field(150) # hard cap
max_pages_per_search: int = Field(5)
max_depth: int = Field(3, env="MAX_DEPTH") # recursion depth
max_sources: int = Field(150, env="MAX_SOURCES") # hard cap
max_pages_per_search: int = Field(5, env="MAX_PAGES_PER_SEARCH")
searxng_url: str = Field(
"http://searxng-svc.researchowl.svc.cluster.local:8080/search",
env="SEARXNG_URL"
)
# Motores que el scraper pide a SearXNG (todos vienen configurados por los
# defaults de la instancia, use_default_settings: true). Verificados en vivo
# 2026-07-03: la lista ampliada duplica resultados y dominios únicos (~2x)
# por ~+2s/query, y da redundancia cuando brave/DDG caen en rate limit o
# CAPTCHA. Excluidos: qwant (access denied), yahoo (roto), wikidata (0
# resultados en queries de texto), wayback machine (duplica contenido vivo).
searxng_engines: str = Field(
"duckduckgo,google,bing,brave,startpage,mojeek,presearch,"
"google news,bing news,internet archive scholar"
)
request_timeout: int = Field(30)
request_delay: float = Field(1.0) # seconds between requests
min_content_length: int = Field(200) # chars
request_timeout: int = Field(30, env="REQUEST_TIMEOUT")
request_delay: float = Field(1.0, env="REQUEST_DELAY") # seconds between requests
min_content_length: int = Field(200, env="MIN_CONTENT_LENGTH") # chars
# Fuentes opcionales — desactivadas por defecto: la IP del homelab está
# bloqueada por Reddit (403) y YouTube (transcripts vacíos), eran peso muerto.
enable_youtube: bool = Field(False)
enable_reddit: bool = Field(False)
# Bing News RSS como semilla de actualidad — off hasta activarlo a propósito
enable_news_seed: bool = Field(False)
enable_youtube: bool = Field(False, env="ENABLE_YOUTUBE")
enable_reddit: bool = Field(False, env="ENABLE_REDDIT")
# Processing
chunk_size: int = Field(800) # tokens per chunk
chunk_overlap: int = Field(100)
quality_threshold: float = Field(0.3) # 0-1, chunks below discarded
chunk_size: int = Field(800, env="CHUNK_SIZE") # tokens per chunk
chunk_overlap: int = Field(100, env="CHUNK_OVERLAP")
quality_threshold: float = Field(0.3, env="QUALITY_THRESHOLD") # 0-1, chunks below discarded
# Ghost CMS
ghost_url: Optional[str] = Field(None)
ghost_api_key: Optional[str] = Field(None)
ghost_url_en: str = Field("")
ghost_api_key_en: str = Field("")
# SEO autofill — "off" | "on" | "dryrun" (default off).
# off = today's exact behavior (bare draft, no second LLM call).
# on = adds best-effort meta/OG/Twitter/tags/internal-links to the DRAFT
# (status stays "draft" — NEVER auto-publishes; see src/seo/autofill.py).
# dryrun = runs the full pipeline + reports the proposed SEO to Telegram, but
# writes a BARE draft (no seo fields), for inspection before trusting
# the write path. A `/generate blog en dry` arg forces dryrun per-call.
seo_autofill: str = Field("off")
# News monitor (RSS de noticias UAP/OVNI) — inerte hasta NEWS_ENABLED=true.
NEWS_ENABLED: bool = Field(False)
NEWS_POLL_INTERVAL_HOURS: int = Field(6)
# Chat al que el monitor empuja novedades; si None -> 1er TELEGRAM_ALLOWED_USERS
# (ver propiedad news_chat_id).
NEWS_CHAT_ID: Optional[int] = Field(None)
NEWS_KEYWORDS: str = Field(
"ovni,ovnis,uap,ufo,desclasificado,desclasificacion,declassified,"
"avistamiento,sighting,extraterrestre,non-human,nhi,grusch,"
"aaro,pursue,fenomeno aereo,whistleblower",
)
NEWS_MAX_ITEMS: int = Field(15)
ghost_url: Optional[str] = Field(None, env="GHOST_URL")
ghost_api_key: Optional[str] = Field(None, env="GHOST_API_KEY")
ghost_url_en: str = Field("", env="GHOST_URL_EN")
ghost_api_key_en: str = Field("", env="GHOST_API_KEY_EN")
# Alerts
cost_alert_threshold: float = Field(0.15)
cost_alert_threshold: float = Field(0.15, env="COST_ALERT_THRESHOLD")
# App
log_level: str = Field("INFO")
timezone: str = Field("Europe/Madrid")
log_level: str = Field("INFO", env="LOG_LEVEL")
timezone: str = Field("Europe/Madrid", env="TIMEZONE")
@property
def allowed_user_ids(self) -> list[int]:
@@ -101,25 +61,8 @@ class Settings(BaseSettings):
return []
return [int(uid.strip()) for uid in self.telegram_allowed_users.split(",") if uid.strip()]
@property
def news_chat_id(self) -> Optional[int]:
"""Chat destino del monitor de noticias: NEWS_CHAT_ID explícito o, si no
está definido, el primer TELEGRAM_ALLOWED_USERS."""
if self.NEWS_CHAT_ID is not None:
return self.NEWS_CHAT_ID
ids = self.allowed_user_ids
return ids[0] if ids else None
@property
def seo_autofill_enabled(self) -> bool:
"""True when autofill should run (either live 'on' or 'dryrun')."""
return (self.seo_autofill or "").strip().lower() in ("on", "true", "1", "yes", "dryrun")
@property
def seo_autofill_dryrun(self) -> bool:
return (self.seo_autofill or "").strip().lower() == "dryrun"
model_config = SettingsConfigDict(env_file=".env")
class Config:
env_file = ".env"
settings = Settings()
-83
View File
@@ -115,22 +115,6 @@ CREATE TABLE IF NOT EXISTS watched_topics (
created_at REAL NOT NULL,
UNIQUE(topic, chat_id)
);
CREATE TABLE IF NOT EXISTS news_seen (
id INTEGER PRIMARY KEY,
source TEXT NOT NULL,
guid TEXT NOT NULL,
title TEXT,
link TEXT,
published_at TEXT,
matched_keywords TEXT,
seen_at TEXT DEFAULT (datetime('now')),
notified INTEGER DEFAULT 0,
UNIQUE(source, guid)
);
CREATE INDEX IF NOT EXISTS idx_news_seen_source ON news_seen(source);
CREATE INDEX IF NOT EXISTS idx_news_seen_seen ON news_seen(seen_at);
"""
@@ -512,73 +496,6 @@ class ResearchDB:
)
await self.db.commit()
# --- News monitor ---
async def source_seeded(self, source: str) -> bool:
"""True si ya hemos visto algún item de esta fuente (cold-start por fuente:
el primer poll siembra sin notificar)."""
cursor = await self.db.execute(
"SELECT 1 FROM news_seen WHERE source = ? LIMIT 1", (source,)
)
return await cursor.fetchone() is not None
async def record_news_item(self, source: str, guid: str, title: str,
link: str, published_at: str, matched: str,
notified: int) -> bool:
"""INSERT OR IGNORE de un item. Devuelve True solo si es una inserción
real (item nuevo); False si ya existía (UNIQUE(source, guid))."""
cursor = await self.db.execute(
"""INSERT OR IGNORE INTO news_seen
(source, guid, title, link, published_at, matched_keywords, notified)
VALUES (?, ?, ?, ?, ?, ?, ?)""",
(source, guid, title, link, published_at, matched, notified)
)
await self.db.commit()
return cursor.rowcount > 0
async def mark_news_notified(self, ids: list[int]):
if not ids:
return
placeholders = ",".join("?" for _ in ids)
await self.db.execute(
f"UPDATE news_seen SET notified = 1 WHERE id IN ({placeholders})",
tuple(ids)
)
await self.db.commit()
async def get_recent_news(self, hours: int = 24) -> list[dict]:
"""Items matcheados cuya seen_at (o published_at parseable) cae en la
ventana. Orden por published_at desc, con seen_at como desempate."""
window = f"-{int(hours)} hours"
cursor = await self.db.execute(
"""SELECT * FROM news_seen
WHERE seen_at >= datetime('now', ?)
OR (published_at IS NOT NULL AND published_at != ''
AND datetime(published_at) >= datetime('now', ?))
ORDER BY published_at DESC, seen_at DESC
LIMIT 50""",
(window, window)
)
rows = await cursor.fetchall()
return [dict(r) for r in rows]
async def get_unnotified(self, limit: Optional[int] = None) -> list[dict]:
"""Items aún sin notificar (notified=0), más recientes primero. El
scheduler (F2) los empuja a Telegram y luego los marca con
mark_news_notified. Aplica LIMIT solo si `limit` no es None."""
sql = (
"SELECT id, source, title, link, published_at, matched_keywords "
"FROM news_seen WHERE notified = 0 "
"ORDER BY published_at DESC NULLS LAST, seen_at DESC"
)
params: tuple = ()
if limit is not None:
sql += " LIMIT ?"
params = (int(limit),)
cursor = await self.db.execute(sql, params)
rows = await cursor.fetchall()
return [dict(r) for r in rows]
# --- Maintenance ---
async def purge_old_sessions(self, max_age_days: int = 30) -> dict:
+57 -341
View File
@@ -9,10 +9,9 @@ import json
import re
import time
import aiohttp
import structlog
from src.config import settings, SAFE_ACCEPT_ENCODING
from src.config import settings
from src.llm import get_anthropic_client
from src.processor.processor import OllamaClient, ContentProcessor
from src.db.database import ResearchDB, OutputType
@@ -279,134 +278,8 @@ def _strip_researchowl_header(content: str) -> str:
return content
def _seo_checklist(slug: str) -> str:
"""Static pre-publish SEO reminder appended to the draft-published notice.
NOT a validator call: the fresh draft has no meta yet, so checking now would
be all-fail noise. Jose runs `seo-check <slug>` after filling these in."""
return (
"\n\n⚠️ Antes de publicar, añade: meta title, meta description (≤145), "
"custom excerpt, OG/Twitter, feature image + alt (campo Alt, NO Caption), "
"2-3 internal links (donde sea natural)\n"
f"Luego valida: seo-check {slug}"
)
# Language-aware default tag when no seo/tags are supplied. Fixes the historical
# hardcoded "investigacion" that mis-tagged EN posts; EN canonical is "investigation".
_DEFAULT_TAG = {"en": "investigation", "es": "investigacion"}
def _resolve_seo_mode(override: str | None = None) -> str:
"""Effective SEO autofill mode: 'off' | 'on' | 'dryrun'.
A per-call override ('dryrun'/'on', e.g. from `/generate blog en dry`) wins;
otherwise it derives from settings.seo_autofill."""
if override in ("on", "dryrun"):
return override
if settings.seo_autofill_dryrun:
return "dryrun"
if settings.seo_autofill_enabled:
return "on"
return "off"
def _seo_checklist_slim(slug: str) -> str:
"""Slimmed checklist for the autofill path: meta/OG/excerpt/tags/links are
already on the draft, so only the human-only bits remain."""
return (
"⚠️ Antes de publicar: añade *feature image + alt* (campo Alt, NO Caption), luego:\n"
f"`seo-check {slug}`"
)
def _bare_ghost_notice(ghost: "GhostPublisher", post: dict) -> str:
"""Today's exact draft-published notice (editor link + full checklist).
Used for the flag-off path and as the autofill failure fallback."""
return (
f"\n\n---\n"
f"📤 *Borrador publicado en Ghost*\n"
f"Editar: {ghost.url}/ghost/#/editor/post/{post['id']}"
f"{_seo_checklist(post.get('slug', ''))}"
)
def _seo_link_summary(inserted_pairs: list[dict], n_suggestions: int) -> str:
"""Report ACTUALLY-INSERTED links only ("phrase → /slug/"), with a separate
count of well-formed suggestions that were skipped (no verbatim body match).
Never surfaces raw rejected suggestions."""
n = len(inserted_pairs)
skipped = max(0, n_suggestions - n)
head = f"{n} insertados" + (f", {skipped} omitidos" if skipped else "")
if not inserted_pairs:
return head
body = "; ".join(f"{p['phrase']} → /{p['slug']}/" for p in inserted_pairs)
return f"{head}{body}"
def _seo_live_message(ghost: "GhostPublisher", post: dict, seo: dict, inserted_pairs: list[dict]) -> str:
"""Separate Telegram message for the live autofill path (SEO written to draft)."""
slug = post.get("slug", "")
warns = seo.get("seo_warnings") or []
warn_line = ("\n⚠️ revisar: " + "; ".join(warns)) if warns else ""
n_sug = len(seo.get("internal_links", []))
return (
f"📤 *Borrador en Ghost — SEO autorrelleno*\n"
f"Editar: {ghost.url}/ghost/#/editor/post/{post['id']}\n\n"
f"🔖 *SEO escrito en el draft:*\n"
f"• meta title ({len(seo['meta_title'])}): {seo['meta_title']}\n"
f"• meta desc ({len(seo['meta_description'])}): {seo['meta_description']}\n"
f"• excerpt: {len(seo['custom_excerpt'])} car.\n"
f"• tags: {', '.join(seo['tags'])}\n"
f"• internal links: {_seo_link_summary(inserted_pairs, n_sug)}"
f"{warn_line}\n\n"
f"🖼️ *Imagen sugerida:*\n"
f"`imagefinder --query \"{seo['image_query']}\" --context \"{seo['image_context']}\" --lang {ghost.lang}`\n\n"
f"{_seo_checklist_slim(slug)}"
)
def _seo_dryrun_message(ghost: "GhostPublisher", post: dict, seo: dict, inserted_pairs: list[dict]) -> str:
"""Separate Telegram message for DRY-RUN: bare draft created, SEO only proposed."""
slug = post.get("slug", "")
warns = seo.get("seo_warnings") or []
warn_line = ("\n⚠️ revisar: " + "; ".join(warns)) if warns else ""
n_sug = len(seo.get("internal_links", []))
return (
f"🧪 *DRY-RUN SEO* — draft creado SIN escribir SEO (solo revisión)\n"
f"Editar: {ghost.url}/ghost/#/editor/post/{post['id']}\n\n"
f"🔖 *SEO propuesto (NO escrito en Ghost):*\n"
f"• meta title ({len(seo['meta_title'])}): {seo['meta_title']}\n"
f"• meta desc ({len(seo['meta_description'])}): {seo['meta_description']}\n"
f"• excerpt ({len(seo['custom_excerpt'])} car.): {seo['custom_excerpt']}\n"
f"• tags: {', '.join(seo['tags'])}\n"
f"• internal links que se insertarían: {_seo_link_summary(inserted_pairs, n_sug)}"
f"{warn_line}\n\n"
f"🖼️ *Imagen sugerida:*\n"
f"`imagefinder --query \"{seo['image_query']}\" --context \"{seo['image_context']}\" --lang {ghost.lang}`\n\n"
f"{_seo_checklist_slim(slug)}"
)
def _norm_title(t: str) -> str:
"""Normaliza un título para compararlo con lo que Ghost almacenó: colapsa
whitespace y trunca a 255 chars (límite de posts.title en Ghost — un H1
largo del LLM puede volver truncado/normalizado, y la igualdad exacta
fallaría justo en los casos que el guard debe cubrir)."""
return " ".join((t or "").split())[:255]
def _parse_ghost_ts(ts: str) -> float | None:
"""created_at de la Admin API (ISO 8601, p.ej. 2026-07-04T20:26:00.000+00:00
o sufijo Z) → epoch. None si no parsea."""
try:
from datetime import datetime
return datetime.fromisoformat(ts.replace("Z", "+00:00")).timestamp()
except Exception:
return None
class GhostPublisher:
def __init__(self, lang: str = "es"):
self.lang = lang
if lang == "en":
self.url = (settings.ghost_url_en or "").rstrip("/")
self.api_key = settings.ghost_api_key_en or ""
@@ -417,16 +290,6 @@ class GhostPublisher:
def is_configured(self) -> bool:
return bool(self.url and self.api_key)
def _build_html(self, markdown_content: str) -> str:
"""Canonical markdown → Ghost body HTML conversion: strip the ResearchOwl
header, render markdown, drop the first <h1> (Ghost renders the title).
Shared so callers that need the linked HTML produce the SAME html that gets
posted (no drift between link-insertion and the mobiledoc body)."""
import markdown as _md
clean = _strip_researchowl_header(markdown_content)
html = _md.markdown(clean, extensions=["extra"])
return re.sub(r"<h1[^>]*>.*?</h1>", "", html, count=1, flags=re.DOTALL).lstrip()
def _make_token(self) -> str:
key_id, secret = self.api_key.split(":", 1)
now = int(time.time())
@@ -438,82 +301,19 @@ class GhostPublisher:
)
return f"{signing}.{sig}"
def _admin_headers(self) -> dict:
"""Headers canónicos de la Admin API (token JWT fresco por llamada).
Único sitio donde se construyen: cualquier cambio (Accept-Version,
encoding) se hace aquí y cubre todas las llamadas a Ghost."""
return {
"Authorization": f"Ghost {self._make_token()}",
"Accept-Version": "v5.0",
# Nunca heredar el default de aiohttp: con un backend brotli
# instalado anunciaría br y el decode roto de aiohttp 3.14 rompe
# la lectura de respuestas (incidente 2026-07-04, KNOWN-ISSUES.md).
"Accept-Encoding": SAFE_ACCEPT_ENCODING,
}
async def _admin_get(self, query: str, timeout: float = 15) -> dict | None:
"""GET a {url}/ghost/api/admin/{query} con auth + headers canónicos.
None si non-200 (logueado); las excepciones de red/parseo suben tal
cual para que cada caller aplique su propia política best-effort."""
async with aiohttp.ClientSession(
timeout=aiohttp.ClientTimeout(total=timeout)) as sess:
async with sess.get(f"{self.url}/ghost/api/admin/{query}",
headers=self._admin_headers()) as resp:
if resp.status != 200:
body = await resp.text()
logger.warning("Ghost admin GET non-200", query=query[:80],
status=resp.status, body=body[:200])
return None
return await resp.json()
async def find_draft_by_title(self, title: str,
since: float | None = None) -> dict | None:
"""Busca entre los drafts recientes uno con título exacto.
Mitad de recuperación del guard anti-duplicados de publish_draft: si el
POST fue aceptado por Ghost pero la lectura de la respuesta falló
(p.ej. decode roto), el draft existe aunque el caller viera una
excepción. Con `since` (epoch) solo casan drafts creados en este
intento — un draft viejo del mismo título de una run anterior NO cuenta
como "ya publicado". La comparación usa _norm_title (whitespace
colapsado + truncado a 255) para sobrevivir la normalización de Ghost.
Best-effort: None si no hay match o si falla."""
data = await self._admin_get(
"posts/?filter=status:draft&order=created_at%20desc&limit=15"
"&fields=id,title,slug,created_at"
)
if data is None:
return None
wanted = _norm_title(title)
for p in data.get("posts", []):
if _norm_title(p.get("title") or "") != wanted:
continue
if since is not None:
created = _parse_ghost_ts(p.get("created_at") or "")
# 60s de margen por posible desfase de reloj Ghost/bot.
if created is None or created < since - 60:
continue
return p
return None
async def publish_draft(self, title: str, markdown_content: str,
tags: list[str] | None = None,
seo: dict | None = None,
body_html: str | None = None) -> dict:
"""Create a Ghost DRAFT. status is ALWAYS "draft" — never published.
tags: list[str] | None = None) -> dict:
import aiohttp as _aio
import markdown as _md
Purely-additive SEO hooks (both default None → byte-identical to the
original behavior):
* body_html — pre-converted + internal-linked HTML from the caller; used
verbatim when given, else markdown_content is converted as before.
* seo — a generate_seo_fields dict; when given, its meta/OG/Twitter fields
are added to the post and its (allow-list) tags are used.
"""
# Caller-supplied linked HTML wins; otherwise convert markdown as before.
html = body_html if body_html is not None else self._build_html(markdown_content)
clean = _strip_researchowl_header(markdown_content)
html = _md.markdown(clean, extensions=["extra"])
# Ghost añade el título automáticamente — eliminar el primer <h1> para evitar duplicado
html = re.sub(r"<h1[^>]*>.*?</h1>", "", html, count=1, flags=re.DOTALL).lstrip()
logger.info("Ghost publish_draft", html_length=len(html),
html_preview=html[:200], seo=bool(seo))
html_preview=html[:200])
if not html.strip():
raise ValueError("Ghost: HTML vacío tras conversión markdown — contenido no enviado")
@@ -529,59 +329,28 @@ class GhostPublisher:
"sections": [[10, 0]],
})
# Language-aware default tag (fixes the hardcoded "investigacion" for EN).
tag_names = tags or [_DEFAULT_TAG.get(self.lang, "investigation")]
post_obj = {
"title": title,
"mobiledoc": mobiledoc,
"status": "draft", # NEVER "published" — draft only, always.
"tags": [{"name": t} for t in tag_names],
token = self._make_token()
body = {
"posts": [{
"title": title,
"mobiledoc": mobiledoc,
"status": "draft",
"tags": [{"name": t} for t in (tags or ["investigacion"])],
}]
}
if seo:
post_obj.update({
"meta_title": seo["meta_title"],
"meta_description": seo["meta_description"],
"custom_excerpt": seo["custom_excerpt"],
"og_title": seo["og_title"],
"og_description": seo["og_description"],
"twitter_title": seo["twitter_title"],
"twitter_description": seo["twitter_description"],
})
body = {"posts": [post_obj]}
attempt_start = time.time()
async with aiohttp.ClientSession() as sess:
async with _aio.ClientSession() as sess:
async with sess.post(
f"{self.url}/ghost/api/admin/posts/",
json=body,
headers=self._admin_headers(),
headers={
"Authorization": f"Ghost {token}",
"Accept-Version": "v5.0",
},
) as resp:
if resp.status not in (200, 201):
text = await resp.text()
raise ValueError(f"Ghost API {resp.status}: {text[:300]}")
# Guard anti-duplicados (incidente 2026-07-04): el 2xx confirma
# que Ghost YA creó el draft; si la lectura del body falla
# (p.ej. decode br roto), recuperamos el draft recién creado en
# vez de propagar — propagar hacía que el caller (o el usuario
# con /publish) reintentara y duplicara. El guard vive AQUÍ para
# cubrir a todos los callers, y solo se activa tras un POST
# aceptado: un fallo pre-POST jamás lo dispara.
try:
return await resp.json()
except Exception as read_err:
existing = None
try:
existing = await self.find_draft_by_title(
title, since=attempt_start)
except Exception as find_err:
logger.warning("publish_draft: draft-exists check failed",
error=str(find_err))
if existing:
logger.warning(
"publish_draft: POST aceptado pero lectura de la "
"respuesta falló; draft recuperado sin re-publicar",
post_id=existing["id"], error=str(read_err))
return {"posts": [existing]}
raise
return await resp.json()
# ─── Output generation ────────────────────────────────────────────────────────
@@ -591,91 +360,15 @@ class OutputGenerator:
self.db = db
self.ollama = ollama
self.processor = processor
# Set during a blog generation when the autofill/dry-run path runs: a short
# markdown SEO summary the bot sends as a SEPARATE Telegram message (so it is
# never buried inside the long .md document). None on the flag-off path.
self.last_publish_notice: str | None = None
async def _publish_blog_to_ghost(self, lang: str, full_output: str, topic: str,
session_id: int, seo_override: str | None) -> str:
"""Publish a blog DRAFT to Ghost, gated by the SEO autofill mode.
Returns the ghost_notice to APPEND to the returned document (flag-off /
fallback bare-draft path only). For the autofill 'on'/'dryrun' paths it sets
self.last_publish_notice (a separate Telegram message) and returns "".
NEVER raises and NEVER blocks publishing: any autofill failure degrades to
today's exact bare-draft publish. status is always "draft".
"""
ghost = GhostPublisher(lang=lang)
if not ghost.is_configured():
return ""
title = _extract_title(full_output) or topic
mode = _resolve_seo_mode(seo_override)
if mode in ("on", "dryrun"):
try:
from src.seo.autofill import (
fetch_published_menu, generate_seo_fields, insert_internal_links,
)
article_md = _strip_researchowl_header(full_output)
menu = await fetch_published_menu(lang)
seo = await generate_seo_fields(
article_md, menu, lang, title=title,
db=self.db, session_id=session_id,
)
if seo is None:
raise RuntimeError("generate_seo_fields returned None")
# Build the SAME html that will be posted, then link it deterministically.
html = ghost._build_html(article_md)
linked_html, inserted_pairs = insert_internal_links(
html, seo["internal_links"], menu, lang)
if mode == "dryrun":
# Bare draft (today's write path) — do NOT write seo fields; only
# surface the proposal so Jose can inspect before trusting writes.
result = await ghost.publish_draft(title, full_output)
post = result["posts"][0]
self.last_publish_notice = _seo_dryrun_message(ghost, post, seo, inserted_pairs)
else:
result = await ghost.publish_draft(
title, full_output, tags=seo["tags"], seo=seo,
body_html=linked_html)
post = result["posts"][0]
self.last_publish_notice = _seo_live_message(ghost, post, seo, inserted_pairs)
logger.info("Auto-published blog to Ghost",
mode=mode, post_id=post["id"], links=len(inserted_pairs))
return ""
except Exception as e:
logger.warning("SEO autofill failed; falling back to bare draft",
error=str(e))
# Sin guard anti-duplicados aquí: vive DENTRO de publish_draft
# (solo se activa tras un POST aceptado). Un fallo pre-POST
# (Ollama caído, menú, links) cae aquí y DEBE publicar el
# contenido nuevo — un guard por título casaba con drafts
# viejos del mismo topic y lo descartaba en silencio.
# fall through to the bare-draft publish below
# OFF mode, or autofill failed → today's exact bare-draft publish.
try:
result = await ghost.publish_draft(title, full_output)
post = result["posts"][0]
logger.info("Auto-published blog to Ghost (bare)", post_id=post["id"])
return _bare_ghost_notice(ghost, post)
except Exception as e:
logger.warning("Auto-publish to Ghost failed", error=str(e))
return ""
async def generate(self, session_id: int, output_type: OutputType,
progress_callback=None, lang: str = "es",
seo_override: str | None = None) -> str:
progress_callback=None, lang: str = "es") -> str:
"""Generate an output for a research session"""
self.last_publish_notice = None
if output_type in (OutputType.REPORT_EXTENDED,
OutputType.BLOG_EXTENDED,
OutputType.PODCAST_EXTENDED):
return await self.generate_extended(session_id, output_type, progress_callback,
lang=lang, seo_override=seo_override)
lang=lang)
session = await self.db.get_session(session_id)
if not session:
@@ -721,11 +414,23 @@ class OutputGenerator:
# Save to DB
await self.db.save_output(session_id, output_type, full_output)
# Auto-publish to Ghost for blog outputs (autofill mode gated inside helper).
# Auto-publish to Ghost for blog outputs
ghost_notice = ""
if output_type in (OutputType.BLOG, OutputType.BLOG_EXTENDED):
ghost_notice = await self._publish_blog_to_ghost(
lang, full_output, topic, session_id, seo_override)
ghost = GhostPublisher(lang=lang)
if ghost.is_configured():
try:
title = _extract_title(full_output) or topic
result = await ghost.publish_draft(title, full_output)
post = result["posts"][0]
ghost_notice = (
f"\n\n---\n"
f"📤 *Borrador publicado en Ghost*\n"
f"Editar: {ghost.url}/ghost/#/editor/post/{post['id']}"
)
logger.info("Auto-published blog to Ghost", post_id=post["id"])
except Exception as e:
logger.warning("Auto-publish to Ghost failed", error=str(e))
logger.info("Output generated", type=output_type, length=len(full_output))
return full_output + ghost_notice
@@ -782,8 +487,7 @@ class OutputGenerator:
return systems.get(output_type, "You are a helpful research assistant.")
async def generate_extended(self, session_id: int, output_type: OutputType,
progress_callback=None, lang: str = "es",
seo_override: str | None = None) -> str:
progress_callback=None, lang: str = "es") -> str:
"""
Generación por secciones para outputs exhaustivos.
1. Recupera muestra de contexto para el outline
@@ -884,11 +588,23 @@ class OutputGenerator:
await self.db.save_output(session_id, output_type, full_output)
# Auto-publish to Ghost for extended blog outputs (autofill mode gated inside).
# Auto-publish to Ghost for extended blog outputs
ghost_notice = ""
if output_type == OutputType.BLOG_EXTENDED:
ghost_notice = await self._publish_blog_to_ghost(
lang, full_output, topic, session_id, seo_override)
ghost = GhostPublisher(lang=lang)
if ghost.is_configured():
try:
title = _extract_title(full_output) or topic
result = await ghost.publish_draft(title, full_output)
post = result["posts"][0]
ghost_notice = (
f"\n\n---\n"
f"📤 *Borrador publicado en Ghost*\n"
f"Editar: {ghost.url}/ghost/#/editor/post/{post['id']}"
)
logger.info("Auto-published extended blog to Ghost", post_id=post["id"])
except Exception as e:
logger.warning("Auto-publish to Ghost failed (extended)", error=str(e))
logger.info("Extended output generated", type=output_type,
sections=len(sections), length=len(full_output))
View File
-207
View File
@@ -1,207 +0,0 @@
"""Monitor RSS de noticias UAP/OVNI.
Capa independiente: NUNCA importa de src.bot (el bot importa de aquí). No toca el
scheduler — F2. Best-effort por diseño: un feed caído se loguea y se salta; nunca
tumba el run. El estado vive en la tabla news_seen vía los métodos de ResearchDB,
que se inyectan (no se importan) para mantener el desacople.
"""
import asyncio
import re
import unicodedata
from dataclasses import dataclass, field
import feedparser
import structlog
log = structlog.get_logger()
# Reddit devuelve 403 con el UA por defecto de feedparser/python; uno explícito
# (y honesto) pasa. El resto de feeds lo aceptan sin problema.
UA = "ExclusionZone-NewsBot/1.0 (+https://theexclusionzone.com)"
FEEDS: list[dict] = [
{"name": "Gran Misterio", "url": "https://granmisterio.org/feed/", "lang": "es"},
# Reemplazos ES tras retirar Espacio Misterio (XML roto). Verificados 2026-07-03:
# MysteryPlanet y Marcianitos publican a diario/casi a diario; El Ojo Crítico es
# mensual (poco volumen a propósito). Ufopolis/MundoEsoterico descartados (muerto/roto).
{"name": "MysteryPlanet", "url": "https://mysteryplanet.com.ar/site/feed/", "lang": "es"},
{"name": "Marcianitos Verdes", "url": "https://marcianitosverdes.haaan.com/feed/", "lang": "es"},
{"name": "El Ojo Crítico", "url": "https://elojocritico.info/feed/", "lang": "es"},
{"name": "Josep Guijarro (YT)", "url": "https://www.youtube.com/feeds/videos.xml?channel_id=UCIlGy26zi-BbX6zDYAMQ9Qg", "lang": "es"},
{"name": "r/UFOs", "url": "https://www.reddit.com/r/UFOs/new/.rss", "lang": "en"},
{"name": "r/UFOB", "url": "https://www.reddit.com/r/UFOB/new/.rss", "lang": "en"},
{"name": "Liberation Times", "url": "https://www.liberationtimes.com/?format=rss", "lang": "en"},
{"name": "The Debrief", "url": "https://thedebrief.org/feed/", "lang": "en"},
]
# Tokens cortos: word-boundary para evitar falsos positivos dentro de palabras
# (p.ej. "aaro" en "aaron", "ufo" en "tufo"). Frases multi-palabra y términos
# largos van por substring. Se decide dinámicamente: sin espacios y len <= 4.
_SHORT_TOKEN_MAXLEN = 4
# Límite de Telegram 4096; troceamos por debajo con margen.
_TG_LIMIT = 4000
# Reddit sin OAuth ratelimita por IP con ventana larga (>30s verificado): la 2ª
# petición seguida a reddit.com devuelve 429 SIEMPRE, así que solo se pollea un
# feed de reddit por run, rotando. Contador por proceso: tras un reinicio se
# empieza por el primero, lo cual es inocuo.
_reddit_turn = 0
def _is_reddit(feed: dict) -> bool:
return "reddit.com" in feed["url"]
@dataclass
class NewsItem:
source: str
guid: str
title: str
link: str
published: str
summary: str
matched: list[str] = field(default_factory=list)
def _normalize(text: str) -> str:
"""minúsculas + NFKD sin marcas combinantes (quita tildes/diacríticos)."""
if not text:
return ""
decomposed = unicodedata.normalize("NFKD", text.lower())
return "".join(c for c in decomposed if not unicodedata.combining(c))
def _is_short_token(kw: str) -> bool:
return " " not in kw and len(kw) <= _SHORT_TOKEN_MAXLEN
def _match(title: str, summary: str, keywords: list[str]) -> list[str]:
"""Devuelve las keywords (en su forma original) que matchean en title+summary,
sobre texto normalizado. Word-boundary para tokens cortos, substring para el
resto. Sin duplicados, preservando el orden de `keywords`."""
text = _normalize(f"{title} {summary}")
if not text:
return []
matched: list[str] = []
for kw in keywords:
nkw = _normalize(kw)
if not nkw:
continue
if _is_short_token(nkw):
if re.search(rf"\b{re.escape(nkw)}\b", text):
matched.append(kw)
else:
if nkw in text:
matched.append(kw)
return matched
async def poll_feeds(db, settings) -> list[NewsItem]:
"""Recorre los feeds, registra items matcheados en news_seen y devuelve los
NUEVOS (no vistos) de fuentes ya sembradas. Cold-start por fuente: el primer
poll de cada feed siembra en silencio (notified=1) y no devuelve nada.
Best-effort: cada feed va en su propio try/except — uno caído nunca tumba el
run. feedparser.parse es bloqueante (I/O de red), así que se ejecuta en un
hilo para no congelar el event loop del bot durante el poll.
Reddit: solo se pollea UN feed de reddit.com por run, rotando entre ellos
(ver _reddit_turn) — dos peticiones seguidas garantizan un 429 en la 2ª.
"""
global _reddit_turn
keywords = [k.strip() for k in settings.NEWS_KEYWORDS.split(",") if k.strip()]
new_items: list[NewsItem] = []
reddit_feeds = [f for f in FEEDS if _is_reddit(f)]
skip: set[str] = set()
if len(reddit_feeds) > 1:
chosen = reddit_feeds[_reddit_turn % len(reddit_feeds)]
_reddit_turn += 1
skip = {f["name"] for f in reddit_feeds if f["name"] != chosen["name"]}
for feed in FEEDS:
if feed["name"] in skip:
continue
try:
parsed = await asyncio.to_thread(feedparser.parse, feed["url"], agent=UA)
status = getattr(parsed, "status", None)
# Un 429/403 llega con bozo=False y 0 entries: sin este guard se
# tragaba en silencio (así estuvo r/UFOB sin sembrar desde F1).
if status and status >= 400:
log.warning("feed %s HTTP %s; salto", feed["name"], status)
continue
if parsed.bozo and not parsed.entries:
log.warning("feed bozo sin entries: %s (%s)",
feed["name"], getattr(parsed, "bozo_exception", ""))
continue
seeded = await db.source_seeded(feed["name"]) # cold-start por fuente
for e in parsed.entries:
guid = getattr(e, "id", None) or getattr(e, "link", "")
if not guid:
continue
matched = _match(e.get("title", ""), e.get("summary", ""), keywords)
if not matched:
continue
notified = 1 if not seeded else 0 # 1er run: sembrar sin notificar
is_new = await db.record_news_item(
feed["name"], guid, e.get("title", ""), e.get("link", ""),
e.get("published", ""), ",".join(matched), notified,
)
if is_new and seeded:
new_items.append(NewsItem(
feed["name"], guid, e.get("title", ""), e.get("link", ""),
e.get("published", ""), e.get("summary", ""), matched,
))
except Exception as ex: # aislado: un feed no tumba el run
log.exception("fallo feed %s: %s", feed["name"], ex)
return new_items
def item_from_row(row: dict) -> NewsItem:
"""Adapta una fila de get_recent_news (dict de news_seen) a NewsItem para que
format_digest sea agnóstico de la fuente (poll vs DB)."""
matched = row.get("matched_keywords") or ""
return NewsItem(
source=row.get("source", ""),
guid=row.get("guid", ""),
title=row.get("title", "") or "",
link=row.get("link", "") or "",
published=row.get("published_at", "") or "",
summary="",
matched=[m for m in matched.split(",") if m],
)
def format_digest(items: list[NewsItem], header: str = "🛸 Novedades UAP/OVNI") -> list[str]:
"""Agrupa por fuente y formatea cada item como '• <title>\\n <link>'. Trocea
en mensajes < _TG_LIMIT chars (devuelve varios si hace falta). Texto plano
(no Markdown): el handler envía sin parse_mode. Lista vacía -> []."""
if not items:
return []
# Agrupar por fuente preservando el orden de primera aparición.
groups: dict[str, list[NewsItem]] = {}
for it in items:
groups.setdefault(it.source, []).append(it)
blocks: list[str] = [] # un bloque por fuente, indivisible salvo que él solo exceda
for source, its in groups.items():
lines = [f"── {source} ──"]
for it in its:
title = (it.title or "(sin título)").strip()
lines.append(f"{title}\n {it.link}".rstrip())
blocks.append("\n".join(lines))
chunks: list[str] = []
cur = header
for block in blocks:
if len(cur) + len(block) + 2 > _TG_LIMIT and cur.strip() != header:
chunks.append(cur)
cur = f"{header} (cont.)"
cur += "\n\n" + block
if cur.strip():
chunks.append(cur)
return chunks
+37 -187
View File
@@ -7,7 +7,7 @@ import random
import re
import time
from typing import Optional
from urllib.parse import urljoin, urlparse, parse_qs, quote, quote_plus
from urllib.parse import urljoin, urlparse, quote_plus
import aiohttp
import feedparser
@@ -18,7 +18,7 @@ from duckduckgo_search import DDGS
from youtube_transcript_api import YouTubeTranscriptApi, NoTranscriptFound
from tenacity import retry, stop_after_attempt, wait_exponential
from src.config import settings, SAFE_ACCEPT_ENCODING
from src.config import settings
from src.db.database import ResearchDB
logger = structlog.get_logger()
@@ -27,13 +27,7 @@ HEADERS = {
"User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36",
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8",
"Accept-Language": "en-US,en;q=0.9,es;q=0.8",
# Sin "br": el descompresor incremental de aiohttp 3.14 falla con streams
# brotli válidos según el troceo de chunks (disclosure.org, todaywhy.com;
# los mismos bytes descomprimen bien offline). Con gzip el camino zlib es
# sólido. OJO: ya NO hay ningún backend brotli instalado (397546a quitó
# brotlicffi) — si un servidor responde br sin que se haya anunciado,
# aiohttp falla sin recuperación posible y esa fuente se pierde.
"Accept-Encoding": SAFE_ACCEPT_ENCODING,
"Accept-Encoding": "gzip, deflate, br",
"DNT": "1",
}
@@ -42,7 +36,7 @@ REDDIT_HEADERS = {
"User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36",
"Accept": "application/json, text/javascript, */*; q=0.01",
"Accept-Language": "en-US,en;q=0.9",
"Accept-Encoding": SAFE_ACCEPT_ENCODING, # sin "br", ver HEADERS
"Accept-Encoding": "gzip, deflate, br",
"Referer": "https://www.reddit.com/",
"X-Requested-With": "XMLHttpRequest",
}
@@ -59,10 +53,6 @@ YOUTUBE_RE = re.compile(r"(?:youtube\.com/watch\?v=|youtu\.be/)([a-zA-Z0-9_-]{11
PDF_RE = re.compile(r"\.pdf(\?|$)", re.IGNORECASE)
REDDIT_RE = re.compile(r"reddit\.com/(r/\w+/comments/\w+)")
WIKIPEDIA_RE = re.compile(r"wikipedia\.org/wiki/(.+)")
# Segmentos de path típicos de feeds, con límite de palabra: el substring puro
# clasificaba /feedback o /atomic como rss.
RSS_RE = re.compile(r"/(rss|feeds?|atom)(/|\.xml|\.rss|$)|\.rss$|format=rss",
re.IGNORECASE)
async def fetch_with_retry(fetch_fn, source_name: str, max_retries: int = 3):
@@ -92,7 +82,7 @@ def detect_source_type(url: str) -> str:
return "wikipedia"
if "arxiv.org" in url:
return "arxiv"
if RSS_RE.search(url):
if any(d in url for d in ["rss", "feed", "atom"]):
return "rss"
return "web"
@@ -110,25 +100,6 @@ def is_blacklisted(url: str) -> bool:
return True
def _unwrap_news_link(link: str) -> str:
"""Bing News envuelve los links de entry en apiclick.aspx; la URL real del
publisher viene en texto plano en el parámetro ?url=. Cualquier otro link
pasa sin tocar. Si es un apiclick pero no trae URL usable, devuelve ""
el caller lo descarta por startswith("http") — en vez de dejar pasar el
redirect de bing.com, que se rasparía como página de consent/basura."""
try:
parsed = urlparse(link)
if (parsed.netloc.lower().endswith("bing.com")
and parsed.path == "/news/apiclick.aspx"):
real = parse_qs(parsed.query).get("url", [""])[0].strip()
if real.startswith("//"): # protocol-relative
real = "https:" + real
return real if real.startswith("http") else ""
except Exception:
return ""
return link
def normalize_url(url: str) -> str:
# Strip only the fragment. NO borrar el query string: rompía URLs de
# YouTube (watch?v=...) y artículos que enrutan por query (?id=, ?p=).
@@ -196,14 +167,11 @@ class ExhaustiveScraper:
tasks = [
self._seed_search(),
self._seed_wikipedia(),
self._seed_archive(),
]
if settings.enable_reddit:
tasks.append(self._seed_reddit())
if settings.enable_youtube:
tasks.append(self._seed_youtube())
if settings.enable_news_seed:
tasks.append(self._seed_news())
await asyncio.gather(*tasks, return_exceptions=True)
async def _generate_ddg_queries(self) -> list[str]:
@@ -261,17 +229,13 @@ class ExhaustiveScraper:
params = {
"q": query,
"format": "json",
"engines": settings.searxng_engines,
"engines": "duckduckgo,google,bing,brave",
"language": "all",
}
headers = {
"Accept": "application/json",
"X-Forwarded-For": "127.0.0.1",
"User-Agent": "ResearchOwl/1.0",
# Sin esto la sesión hereda el default de aiohttp, que anunciaría
# br si algún día se reinstala un backend brotli — y el decode roto
# de 3.14 tumbaría TODAS las búsquedas SearXNG (el camino primario).
"Accept-Encoding": SAFE_ACCEPT_ENCODING,
}
try:
async with aiohttp.ClientSession() as session:
@@ -297,21 +261,6 @@ class ExhaustiveScraper:
logger.warning("SearXNG failed", query=query, error=str(e))
return []
# DDGS es síncrono (requests bloqueante por dentro): llamarlo directamente
# desde código async congela el event loop entero — bot de Telegram incluido —
# mientras dura la búsqueda. Estos helpers deben ejecutarse SIEMPRE vía
# run_in_executor.
@staticmethod
def _ddg_text_sync(query: str) -> list[dict]:
with DDGS() as ddgs:
return list(ddgs.text(query, max_results=settings.max_pages_per_search))
@staticmethod
def _ddg_videos_sync(query: str) -> list[dict]:
with DDGS() as ddgs:
return list(ddgs.videos(query, max_results=10))
async def _seed_search(self):
"""SearXNG primary + DDG fallback per query"""
queries = await self._generate_ddg_queries()
@@ -322,10 +271,12 @@ class ExhaustiveScraper:
if not results:
logger.info("SearXNG vacío, usando DDG", query=query)
try:
loop = asyncio.get_running_loop()
results = await loop.run_in_executor(
None, self._ddg_text_sync, query
)
with DDGS() as ddgs:
ddg_results = list(ddgs.text(
query,
max_results=settings.max_pages_per_search
))
results = ddg_results
logger.info("DDG fallback ok", query=query, results=len(results))
except Exception as e:
logger.warning("DDG fallback failed", query=query, error=str(e))
@@ -343,92 +294,30 @@ class ExhaustiveScraper:
await asyncio.sleep(random.uniform(1, 3))
async def _seed_wikipedia(self):
"""Siembra Wikipedia en AMBOS idiomas siempre, con búsqueda full-text
(list=search). El opensearch anterior era prefix-de-título y devolvía 0
para topics verbosos ("incidente ovni de Manises 1979") aunque el
artículo exista; y el break tras en dejaba es solo como fallback.
Cada idioma va aislado: un fallo no afecta al otro."""
"""Search Wikipedia API for correct article URLs.
Tries English first, falls back to Spanish if no results found."""
http = await self._get_http()
added = 0
for lang in ("en", "es"):
try:
api_url = (
f"https://{lang}.wikipedia.org/w/api.php?action=query"
f"&list=search&srsearch={quote_plus(self.topic)}"
f"&srlimit=8&format=json"
f"https://{lang}.wikipedia.org/w/api.php?action=opensearch"
f"&search={quote_plus(self.topic)}&limit=10&format=json"
)
async with http.get(api_url) as resp:
data = await resp.json()
hits = data.get("query", {}).get("search", [])
added = 0
for h in hits:
title = h.get("title")
if not title:
continue
url = (f"https://{lang}.wikipedia.org/wiki/"
f"{quote(title.replace(' ', '_'))}")
await self.db.add_source(self.session_id, url, "wikipedia",
depth=0, title=title)
added += 1
logger.info("Wikipedia seed", lang=lang, found=added)
urls = data[3] if len(data) > 3 else []
for url in urls:
if url:
await self.db.add_source(self.session_id, url, "wikipedia", depth=0)
added += 1
logger.info("Wikipedia seed", lang=lang, found=len(urls))
if added > 0:
break # English results found — no need to try Spanish
except Exception as e:
logger.warning("Wikipedia API seed failed", lang=lang, error=str(e))
async def _seed_archive(self):
"""Siembra Internet Archive (advancedsearch, mediatype:texts): documentos
FOIA, informes y libros históricos. Se siembra la página /details/<id>;
sus PDFs los descubre la recursión (la propia página los enlaza) y los
extrae _extract_pdf. Sin fallback de query: el AND estricto de archive.org
con el topic completo prima precisión — relajarlo mete ruido (verificado:
'Manises' a secas devuelve loza valenciana). Best-effort: nunca rompe el seed."""
try:
http = await self._get_http()
q = quote_plus(f"({self.topic}) AND mediatype:(texts)")
url = (
f"https://archive.org/advancedsearch.php?q={q}"
"&fl[]=identifier&fl[]=title&rows=12&page=1&output=json"
)
async with http.get(url) as resp:
if resp.status != 200:
logger.warning("Archive.org seed non-200", status=resp.status)
return
data = await resp.json(content_type=None)
docs = data.get("response", {}).get("docs", [])
added = 0
for d in docs:
ident = d.get("identifier")
if not ident:
continue
item_url = f"https://archive.org/details/{ident}"
title = d.get("title")
await self.db.add_source(
self.session_id, item_url, "web", depth=0,
title=title if isinstance(title, str) else None
)
added += 1
logger.info("Archive.org seed", found=len(docs), added=added)
except Exception as e:
logger.warning("Archive.org seed failed", error=str(e))
async def _seed_news(self):
"""Siembra Bing News RSS para cobertura de actualidad. Solo registra
el feed como fuente tipo rss: _extract_rss (dispatch del pipeline) lo
parsea y siembra sus entries — sin duplicar lógica de parseo aquí.
Bing y no Google News: los links de Google (news.google.com/rss/articles/
CBMi…) van a un muro de consent + redirect cifrado solo resoluble vía su
API interna batchexecute (verificado 2026-07-04); los de Bing llevan la
URL real del publisher en ?url= (ver _unwrap_news_link).
Best-effort: nunca rompe el seed."""
try:
url = f"https://www.bing.com/news/search?q={quote_plus(self.topic)}&format=rss"
await self.db.add_source(
self.session_id, url, "rss", depth=0,
title=f"Bing News: {self.topic}"
)
logger.info("News seed added", topic=self.topic)
except Exception as e:
logger.warning("News seed failed", error=str(e))
async def _seed_reddit(self):
"""Search Reddit — sequential to avoid rate limiting"""
try:
@@ -458,18 +347,18 @@ class ExhaustiveScraper:
async def _seed_youtube(self):
"""Search YouTube via DDG for video transcripts"""
try:
loop = asyncio.get_running_loop()
results = await loop.run_in_executor(
None, self._ddg_videos_sync,
f"{self.topic} documentary explanation"
)
for r in results:
url = r.get("content", "")
if "youtube.com" in url or "youtu.be" in url:
await self.db.add_source(
self.session_id, url, "youtube", depth=0,
title=r.get("title")
)
with DDGS() as ddgs:
results = list(ddgs.videos(
f"{self.topic} documentary explanation",
max_results=10
))
for r in results:
url = r.get("content", "")
if "youtube.com" in url or "youtu.be" in url:
await self.db.add_source(
self.session_id, url, "youtube", depth=0,
title=r.get("title")
)
except Exception as e:
logger.warning("YouTube seed failed", error=str(e))
@@ -583,9 +472,6 @@ class ExhaustiveScraper:
lambda: self._extract_reddit(url), url
)
await asyncio.sleep(settings.request_delay)
elif source_type == "rss":
# El feed no tiene contenido propio: es puro descubrimiento.
return await self._extract_rss(source_id, url, source["depth"])
elif source_type == "pdf":
content, title = await fetch_with_retry(
lambda: self._extract_pdf(url), url
@@ -783,42 +669,6 @@ class ExhaustiveScraper:
logger.warning("Reddit extraction failed", url=url, error=str(e))
return None, None
async def _extract_rss(self, source_id: int, url: str, depth: int) -> int:
"""RSS/Atom: siembra las entries del feed como fuentes nuevas (filtradas
por relevancia de título/URL) y marca el feed como skipped — no tiene
contenido propio que trocear. feedparser.parse es bloqueante: va en hilo,
igual que en el monitor de noticias. Devuelve nº de fuentes añadidas."""
parsed = await asyncio.to_thread(feedparser.parse, url,
agent=HEADERS["User-Agent"])
entries = parsed.entries or []
added = 0
if depth < settings.max_depth:
# Se escanean TODAS las entries y el cap aplica a las añadidas:
# capar antes de filtrar perdía las relevantes que no caen entre
# las 20 más recientes (verificado con thedebrief: 0/20 vs 3/100).
for e in entries:
if added >= 20: # cap, como los 30 links/página de web
break
link = normalize_url(_unwrap_news_link(getattr(e, "link", "") or ""))
title = getattr(e, "title", "") or ""
if (not link.startswith("http") or is_blacklisted(link)
or not self._url_is_relevant(link, title)):
continue
if await self.db.source_exists(self.session_id, link):
continue
await self.db.add_source(
self.session_id, link, detect_source_type(link),
depth=depth + 1, title=title or None
)
added += 1
await self.db.update_source(
source_id, status="skipped",
error=f"rss feed: {added} entries sembradas"
)
logger.info("RSS feed seeded", url=url[:60],
entries=len(entries), added=added)
return added
async def _extract_pdf(self, url: str) -> tuple[Optional[str], Optional[str]]:
"""Download and extract PDF text"""
import pdfplumber
-1
View File
@@ -1 +0,0 @@
b8faa93b1f7727d3870e18f69b68283d9a97ed9da819ef0cfa79a60cc2c4ab70
-2
View File
@@ -1,2 +0,0 @@
"""Vendored SEO rule engine (see rules.py). Re-export check_post/score for the bot."""
from .rules import check_post, score, internal_links, Violation # noqa: F401
-17
View File
@@ -1,17 +0,0 @@
# -----------------------------------------------------------------------------
# VENDORED COPY — DO NOT EDIT THIS FILE BY HAND.
#
# Canonical source of truth:
# git.chemavx.xyz/chemavx/chemavx-seo-tools -> seo_rules.py
# (local working copy: ~/seo-tools/seo_rules.py)
#
# The bot reuses the shared SEO rule engine inside the container, where
# seo-tools is not installed. Everything below the BEGIN marker is a
# byte-for-byte copy of the canonical file.
#
# To update: edit the canonical, then run `make sync-seo` (re-copies here).
# Drift guard: CI step "Verify vendored SEO engine" clones the canonical and
# diffs it against the content below the marker; the build FAILS on
# any divergence. Locally, `make check-seo-sync` does the same.
# -----------------------------------------------------------------------------
# ===== BEGIN VENDORED seo_rules.py (exact copy of canonical; do not edit below) =====
-652
View File
@@ -1,652 +0,0 @@
"""SEO autofill — best-effort meta/OG/Twitter/tags/internal-links for a draft.
Step 2 (this file): pure, testable units. NOTHING here is wired into the live
publish path yet (that is Step 3, behind `settings.seo_autofill`). Every public
function is isolation-safe: on ANY failure it degrades (menu → [], fields → None,
link insertion → unchanged html), so it can never block or break article
publishing, and it never changes a post's `status` away from `draft`.
Three units:
* fetch_published_menu(lang) — live "menu" of existing posts to link to.
* generate_seo_fields(...) — one Haiku JSON call → validated SEO dict.
* insert_internal_links(...) — deterministic, LLM never touches HTML.
The SEO rules engine (length limits, link counting) is the SAME vendored module
the auditor (Tool A) and validator (Tool C) use: src/seo/rules.py.
"""
from __future__ import annotations
import json
import re
import structlog
from src.config import settings
from src.llm import get_anthropic_client
from src.seo import rules as R
logger = structlog.get_logger(__name__)
# Canonical site host per language. The wrapped <a> hrefs use the www host (the
# site's canonical form); rules.internal_links still counts them because its
# SITE_HOST ("theexclusionzone.com") is a substring of "www.theexclusionzone.com".
SITE_BY_LANG = {
"en": "www.theexclusionzone.com",
"es": "www.zonadeexclusion.com",
}
# Tag allow-list — the model may ONLY pick from these; invented tags are dropped
# deterministically after the call (never trust the LLM to self-limit). EN is the
# live vocabulary Jose confirmed; ES is the live core taxonomy on zonadeexclusion
# (fetched 2026-07-03), mirroring EN. Deliberately excluded from ES: the one-post
# long-tail tags the model invented before constraining, and "investigacion-2"
# (a Ghost case-collision duplicate of "investigacion").
ALLOWED_TAGS = {
"en": [
"uap", "declassified", "military-cases", "classic-cases",
"investigation", "spain-cases", "latin-america",
],
"es": [
"uap", "desclasificados", "casos-militares", "casos-clasicos",
"investigacion", "casos-espana",
],
}
# Language-aware default tag when nothing from the allow-list fits / the model
# returns none. EN canonical is "investigation" (NOT the legacy "investigacion").
DEFAULT_TAG = {"en": "investigation", "es": "investigacion"}
MAX_INTERNAL_LINKS = 3
# Blocking violations at generation time = only the length/missing rules on the
# fields WE generate. feature_image*, internal_links.too_few, social *.empty and
# the INFO rules are expected / non-blocking at draft time.
_BLOCKING_PREFIXES = ("meta_title.", "meta_description.", "custom_excerpt.")
# ─── 1. Published menu ──────────────────────────────────────────────────────
async def fetch_published_menu(lang: str) -> list[dict]:
"""Live list of published posts on the same site/lang: [{slug, title}, ...].
Reuses GhostPublisher's per-lang URL + JWT minting. On ANY failure
(unconfigured, timeout, non-200, bad JSON) → return [] and log; never raise.
"""
try:
# Lazy import to avoid a heavy/circular import at module load.
from src.generator.generator import GhostPublisher
pub = GhostPublisher(lang=lang)
if not pub.is_configured():
logger.warning("seo.menu: Ghost not configured for lang", lang=lang)
return []
# _admin_get lleva los headers canónicos (auth, Accept-Version y el
# Accept-Encoding sin br — ver KNOWN-ISSUES.md) y loguea los non-200.
data = await pub._admin_get(
"posts/?filter=status:published&fields=id,slug,title&limit=all",
timeout=30,
)
if data is None:
return []
menu = [
{"slug": p["slug"], "title": p.get("title", "")}
for p in data.get("posts", [])
if p.get("slug")
]
logger.info("seo.menu: fetched", lang=lang, count=len(menu))
return menu
except Exception as e: # noqa: BLE001 — isolation guarantee
logger.warning("seo.menu: fetch failed, using empty menu",
lang=lang, error=str(e))
return []
# ─── 2. SEO field generation (one Haiku JSON call) ──────────────────────────
def _system_prompt(lang: str) -> str:
allow = ", ".join(ALLOWED_TAGS.get(lang, []))
out_lang = "SPANISH" if lang == "es" else "ENGLISH"
# The anti-legacy "never use investigacion" rule is EN-only: on the ES site
# "investigacion" IS the canonical tag (and the allow-list already excludes
# the "investigacion-2" duplicate).
legacy_clause = ", never use \"investigacion\"" if lang == "en" else ""
tag_clause = (
f"TAGS: choose 2-4 tags ONLY from this exact list (never invent a tag, "
f"never translate it{legacy_clause}): {allow}.\n"
if allow else
"TAGS: 2-4 lowercase-hyphenated topical tags appropriate to the article.\n"
)
return (
"You are an SEO editor for an investigative blog about UAP/UFO history.\n"
"You are given a FINISHED article and a MENU of existing published posts on the site.\n"
"Return ONLY a single JSON object — no prose, no markdown fences — with these fields.\n\n"
"HARD LIMITS (count characters; never exceed — and aim BELOW the cap for safety):\n"
f"- meta_title: <= {R.META_TITLE_MAX} characters (aim ~50). Compelling, specific, "
"front-load the key entity.\n"
f"- meta_description: <= {R.META_DESC_MAX} characters (aim ~125 — one SHORT sentence). "
"Earn the click; describe what the article answers, not clickbait.\n"
f"- custom_excerpt: <= {R.CUSTOM_EXCERPT_MAX} characters (aim ~260). 1-2 sentences "
"summarizing the article's substance.\n\n"
+ tag_clause +
"\nINTERNAL LINKS — quality over count, mirror the site's manual policy:\n"
"- The \"phrase\" MUST be a SHORT entity name (typically 1-4 words: a person, program, "
"office, or named incident) copied VERBATIM from the ARTICLE body. NEVER use a menu "
"title or slug as the phrase — the phrase has to literally appear in the article text.\n"
"- Link that phrase to a MENU post ONLY if that post's PRIMARY SUBJECT — what it is "
"actually ABOUT (judge from its slug + title) — IS that same entity. Not merely a post "
"that mentions it. If unsure the target is really ABOUT the entity, DO NOT link it.\n"
" GOOD: phrase \"AARO\" → aaro-... post (short phrase from the body; that post is ABOUT AARO).\n"
" GOOD: phrase \"GIMBAL\" → gimbal-gofast-... post (it is ABOUT the GIMBAL video).\n"
" BAD: phrase \"AATIP\" → gimbal-gofast-... post (that post is NOT about AATIP). Skip it.\n"
" BAD: using the full menu title \"AARO's UFO Investigation: What Eight Decades...\" as the "
"phrase (that string is not in the article body — it will fail to match). Use \"AARO\".\n"
"- 0 to 3 links. NEVER force a link to hit a number. ONE strong, on-subject link beats two "
"loose ones. Skip if no target is genuinely about the phrase.\n"
"- Use only slugs from the MENU. Never link the article to itself.\n"
"- Give the phrase EXACTLY as it appears in the article (case-sensitive), so it can be matched.\n\n"
"IMAGE: suggest a concrete image search query (subjects/objects a stock site would have — "
"NOT the headline) and a one-sentence context describing what the article is about.\n\n"
f"Write meta_title, meta_description, custom_excerpt, image_query and image_context in {out_lang}.\n\n"
"JSON schema (all fields required):\n"
'{"meta_title": "...", "meta_description": "...", "custom_excerpt": "...", '
'"tags": ["..."], "internal_links": [{"phrase": "...", "slug": "..."}], '
'"image_query": "...", "image_context": "..."}'
)
def _user_message(article_text: str, link_menu: list[dict]) -> str:
menu_lines = "\n".join(
f"- {m['slug']}{m.get('title','')}" for m in link_menu
) or "(no existing posts)"
return (
"MENU of existing published posts (slug — title):\n"
f"{menu_lines}\n\n"
"ARTICLE:\n"
f"{article_text}"
)
def _parse_json_object(text: str) -> dict:
"""Strip optional ``` fences and parse the first JSON object. Raises on failure."""
t = text.strip()
t = re.sub(r"^```(?:json)?\s*", "", t)
t = re.sub(r"\s*```$", "", t).strip()
# If extra prose snuck in, grab the outermost {...}.
if not t.startswith("{"):
m = re.search(r"\{.*\}", t, re.DOTALL)
if m:
t = m.group(0)
obj = json.loads(t)
if not isinstance(obj, dict):
raise ValueError("model did not return a JSON object")
return obj
_REQUIRED_STR = ("meta_title", "meta_description", "custom_excerpt",
"image_query", "image_context")
def _coerce(obj: dict, lang: str) -> dict:
"""Validate shape + constrain tags to the allow-list. Raises on missing required strings."""
for k in _REQUIRED_STR:
if not isinstance(obj.get(k), str) or not obj[k].strip():
raise ValueError(f"missing/empty required field: {k}")
raw_tags = obj.get("tags") or []
if not isinstance(raw_tags, list):
raw_tags = []
allow = ALLOWED_TAGS.get(lang)
if allow:
seen, tags = set(), []
allow_set = set(allow)
for t in raw_tags:
if isinstance(t, str):
s = t.strip().lower()
if s in allow_set and s not in seen:
seen.add(s)
tags.append(s)
if not tags:
tags = [DEFAULT_TAG.get(lang, "investigation")]
else:
tags = [t.strip().lower() for t in raw_tags
if isinstance(t, str) and t.strip()] or [DEFAULT_TAG.get(lang, "investigacion")]
links = []
for item in (obj.get("internal_links") or []):
if isinstance(item, dict) and item.get("phrase") and item.get("slug"):
links.append({"phrase": str(item["phrase"]), "slug": str(item["slug"])})
return {
"meta_title": obj["meta_title"].strip(),
"meta_description": obj["meta_description"].strip(),
"custom_excerpt": obj["custom_excerpt"].strip(),
"tags": tags,
"internal_links": links,
"image_query": obj["image_query"].strip(),
"image_context": obj["image_context"].strip(),
}
def _markdown_to_html(article_text: str) -> str:
"""Same conversion publish_draft uses, so validation sees the real body."""
import markdown as _md
html = _md.markdown(article_text, extensions=["extra"])
return re.sub(r"<h1[^>]*>.*?</h1>", "", html, count=1, flags=re.DOTALL).lstrip()
def _synthetic_post(fields: dict, html: str, title: str, slug: str) -> dict:
mt, md = fields["meta_title"], fields["meta_description"]
return {
"html": html,
"title": title,
"slug": slug or "",
"meta_title": mt,
"meta_description": md,
"custom_excerpt": fields["custom_excerpt"],
"og_title": mt, "og_description": md,
"twitter_title": mt, "twitter_description": md,
"feature_image": "", # human adds later
"feature_image_alt": "", # human adds later
}
def _blocking(violations) -> list:
return [v for v in violations if v.rule.startswith(_BLOCKING_PREFIXES)]
# Length-limited fields we generate. The retry aims at (limit - margin), well
# UNDER the hard limit: Haiku cannot count to an exact char count and reliably
# overshoots its target by 20-50 chars, so the margin must absorb that overshoot.
# Margins are per-field (bigger for the long free-text fields that overshoot most).
_LEN_LIMITS = {
"meta_title": R.META_TITLE_MAX,
"meta_description": R.META_DESC_MAX,
"custom_excerpt": R.CUSTOM_EXCERPT_MAX,
}
_LEN_MARGIN = {
"meta_title": 10, # target 50
"meta_description": 35, # target 110
"custom_excerpt": 45, # target 255
}
# Minimum useful length per field. If a CLEAN boundary-trim would drop a field
# below this, we DON'T trim it — better a slightly-over field a human nudges than
# a butchered stub. Falls back to path-1 (keep + flag) for that field only.
_MIN_USEFUL = {
"meta_title": 25,
"meta_description": 80,
"custom_excerpt": 120,
}
# Connective / function words (EN + ES) we must not leave dangling at the end of
# a word-boundary trim — they all "expect more" after them, so ending on one reads
# as cut-off. Compared lowercased, after stripping trailing punctuation. Includes
# correlatives (neither/nor), interrogatives (why/what), and contracted auxiliaries
# (won't/can't) that surfaced as bad trims in testing.
_DANGLING_WORDS = {
# English — articles / prepositions / basic connectives
"and", "or", "but", "the", "a", "an", "of", "to", "in", "on", "for", "with",
"at", "by", "from", "as", "that", "which", "is", "was", "were", "this",
"its", "their", "his", "her", "into", "over", "after", "about", "between",
"during", "against", "among", "without", "within", "upon", "toward", "towards",
"via", "per", "amid", "despite", "near", "off", "out", "up", "down",
# English — correlatives / subordinators / interrogatives / negation
"nor", "neither", "either", "both", "whether", "while", "since", "though",
"although", "unless", "until", "because", "if", "than", "then", "yet", "so",
"not", "no", "why", "how", "when", "where", "what", "who", "whom", "whose",
# English — contracted auxiliaries (read as mid-clause)
"won't", "can't", "cannot", "don't", "doesn't", "didn't", "isn't", "aren't",
"wasn't", "weren't", "hasn't", "haven't", "still", "just", "ever",
# Spanish
"y", "o", "u", "pero", "el", "la", "los", "las", "un", "una", "de", "del",
"en", "con", "por", "para", "que", "su", "sus", "al", "como", "se", "lo",
"ni", "sino", "porque", "aunque", "mientras", "cuando", "donde", "segun",
"según", "sin", "entre", "sobre", "tras", "ante", "hacia", "hasta", "desde",
"ya", "muy", "mas", "más", "menos", "tan", "no",
}
# Characters safe to strip from the end of a trimmed phrase (whitespace, commas,
# semicolons, colons, dashes/em-dashes). Sentence-final . ! ? are intentionally
# NOT here — if a trim happens to land on one we keep it.
_TRAIL_PUNCT = " \t,;:—–- "
def _drop_sentences_to_fit(text: str, limit: int) -> str:
"""Drop WHOLE trailing sentences until the text fits within `limit`.
Splits on sentence terminators (. ! ?) keeping the delimiter, then returns the
longest run of complete leading sentences that is <= limit. Never a mid-
sentence cut. Returns "" if even the first sentence is over limit (caller's
min-useful guardrail then keeps the original)."""
parts = [p for p in re.findall(r"[^.!?]*[.!?]+|\S[^.!?]*$", text.strip()) if p.strip()]
if not parts:
return ""
out = ""
for p in parts:
candidate = out + p
if len(candidate.strip()) <= limit:
out = candidate
else:
break
return out.strip()
def _trim_to_word_boundary(text: str, limit: int) -> str:
"""Trim to the last WORD boundary that fits, then strip trailing punctuation
and any dangling connective word. No mid-word cut, no ellipsis. The result
reads as a complete-ish phrase. Returns "" if nothing survives the cleanup."""
text = text.strip()
if len(text) <= limit:
return text
out = ""
for w in text.split():
candidate = w if not out else f"{out} {w}"
if len(candidate) <= limit:
out = candidate
else:
break
# Clean the tail: alternately strip trailing punctuation and dangling words
# until the phrase ends on a content word.
while out:
stripped = out.rstrip(_TRAIL_PUNCT)
if stripped != out:
out = stripped
continue
# Capture the trailing word INCLUDING internal apostrophes, so contractions
# ("won't", "doesn't") match the dangling list instead of just their tail.
m = re.search(r"([^\W\d_]+(?:['][^\W\d_]+)*)$", out, re.UNICODE)
if m and m.group(1).lower() in _DANGLING_WORDS:
out = out[:m.start()].rstrip(_TRAIL_PUNCT)
continue
break
return out.strip()
def _shorten_over_limit(fields: dict) -> tuple[dict, list[dict]]:
"""FINAL, deterministic, boundary-aware shortener — runs only after the LLM +
retry have tried, only on fields STILL over their hard limit. This is NOT the
forbidden ugly truncation: custom_excerpt drops whole trailing sentences; the
single-line metas trim to a word boundary and clean dangling punctuation.
Quality guardrail: if a clean shorten would fall below the field's minimum
useful length, we keep the LLM's over-limit text and flag it (path-1 fallback
for that field only). Mutates `fields` in place; also returns it.
Returns (fields, log) where log entries are
{field, before, after, applied, reason} for reporting/auditing."""
log: list[dict] = []
for field, limit in _LEN_LIMITS.items():
before = fields.get(field, "")
if len(before) <= limit:
continue
if field == "custom_excerpt":
after = _drop_sentences_to_fit(before, limit)
else:
# Single-line metas: prefer a clean WHOLE-sentence prefix (many metas
# are 2 sentences — keeping just the first reads as a complete thought).
# Only fall back to a word-boundary trim if that prefix is too short.
after = _drop_sentences_to_fit(before, limit)
if not after or len(after) < _MIN_USEFUL[field]:
after = _trim_to_word_boundary(before, limit)
if after and len(after) <= limit and len(after) >= _MIN_USEFUL[field]:
fields[field] = after
log.append({"field": field, "before": before, "after": after,
"applied": True, "reason": "shortened"})
logger.info("seo.shorten: field shortened",
field=field, before_len=len(before), after_len=len(after))
else:
reason = "would-be-too-short" if after else "no-clean-boundary"
log.append({"field": field, "before": before, "after": before,
"applied": False, "reason": reason})
logger.info("seo.shorten: kept over-limit (clean trim unsafe)",
field=field, before_len=len(before),
trimmed_len=len(after), reason=reason)
return fields, log
def _retry_instruction(fields: dict) -> str:
"""Forceful, field-specific shrink instruction listing actual length, hard
limit, the exact overage, and a sub-limit target. Empty string if nothing over."""
lines = []
for field, limit in _LEN_LIMITS.items():
cur = len(fields.get(field, ""))
if cur > limit:
target = limit - _LEN_MARGIN[field]
cut = cur - target
lines.append(
f"- {field} is currently {cur} characters. The HARD limit is {limit}. "
f"Rewrite it to AT MOST {target} characters (aim for {target}, NOT {limit}; "
f"shorter is better than longer) — cut at least {cut} characters by removing a "
f"clause, adjective, or example. Keep the same meaning and language."
)
if not lines:
return ""
return (
"\n\nSTOP. YOUR PREVIOUS OUTPUT EXCEEDED A HARD CHARACTER LIMIT. "
"Fix ONLY the field(s) below; leave every other field exactly as you had it:\n"
+ "\n".join(lines)
+ "\nReturn the FULL JSON object again with ALL fields present, only these shortened. "
"When in doubt, cut MORE — a shorter field is always acceptable, an over-limit one is not."
)
async def generate_seo_fields(
article_text: str,
link_menu: list[dict],
lang: str,
*,
title: str = "",
slug: str = "",
db=None,
session_id: int | None = None,
) -> dict | None:
"""Second, dedicated Haiku call → validated SEO dict, or None on hard failure.
Returns: meta_title, meta_description, custom_excerpt, tags[],
internal_links[{phrase,slug}], image_query, image_context, og_/twitter_*
(derived deterministically), and seo_warnings[] for any non-fatal issues.
On ANY exception → None (caller falls back to a bare draft).
"""
try:
client = get_anthropic_client()
system = _system_prompt(lang)
user = _user_message(article_text, link_menu)
async def _raw(messages: list, max_tokens: int = 1024,
temperature: float | None = None) -> str:
kwargs = {
"model": settings.claude_model,
"max_tokens": max_tokens,
"system": system,
"messages": messages,
}
if temperature is not None:
kwargs["temperature"] = temperature
msg = await client.messages.create(**kwargs)
if db is not None and session_id is not None:
try:
await db.log_api_call(
session_id, "seo_fields", settings.claude_model,
msg.usage.input_tokens, msg.usage.output_tokens,
)
except Exception as log_err: # noqa: BLE001
logger.warning("seo.fields: usage log failed", error=str(log_err))
return msg.content[0].text
base_msgs = [{"role": "user", "content": user}]
text1 = await _raw(base_msgs)
fields = _coerce(_parse_json_object(text1), lang)
fields["internal_links"] = _sanitize_links(fields["internal_links"], link_menu)
# Validate against the shared engine using the real body (md→html + links).
body_html = _markdown_to_html(article_text)
linked_html, _ = insert_internal_links(body_html, fields["internal_links"], link_menu, lang)
violations = R.check_post(_synthetic_post(fields, linked_html, title, slug))
blocking = _blocking(violations)
if blocking:
detail = "; ".join(
f"{v.rule}: {v.message}" for v in blocking
)
instr = _retry_instruction(fields)
logger.info("seo.fields: blocking violation, one stricter retry", detail=detail)
try:
# Real edit turn: hand the model its OWN previous JSON to shorten,
# rather than re-rolling from scratch (which kept overshooting). Lower
# max_tokens to physically discourage rambling.
retry_msgs = base_msgs + [
{"role": "assistant", "content": text1},
{"role": "user", "content": instr},
]
# temperature=0 so the shorten instruction binds deterministically.
retry = _coerce(_parse_json_object(
await _raw(retry_msgs, max_tokens=768, temperature=0.0)), lang)
retry["internal_links"] = _sanitize_links(retry["internal_links"], link_menu)
rlinked, _ = insert_internal_links(
_markdown_to_html(article_text), retry["internal_links"], link_menu, lang)
rviol = R.check_post(_synthetic_post(retry, rlinked, title, slug))
if not _blocking(rviol):
fields, violations, blocking = retry, rviol, []
else:
# Keep the retry's text but record it stayed over (never truncate).
fields, violations, blocking = retry, rviol, _blocking(rviol)
except Exception as e: # noqa: BLE001
logger.warning("seo.fields: retry failed, keeping first output", error=str(e))
# Final boundary-aware shortener — only for fields the LLM + retry left
# over limit. Clean (sentence-drop / word-boundary), never mid-word, and
# skipped (kept + flagged) if it would butcher the field below min-useful.
shorten_log: list[dict] = []
if blocking:
fields, shorten_log = _shorten_over_limit(fields)
slinked, _ = insert_internal_links(
_markdown_to_html(article_text), fields["internal_links"], link_menu, lang)
violations = R.check_post(_synthetic_post(fields, slinked, title, slug))
blocking = _blocking(violations)
mt, md = fields["meta_title"], fields["meta_description"]
fields["og_title"] = fields["twitter_title"] = mt
fields["og_description"] = fields["twitter_description"] = md
fields["seo_warnings"] = [
f"{v.rule}: {v.message}" for v in blocking
]
if shorten_log:
fields["seo_shortened"] = [
{"field": e["field"], "applied": e["applied"], "reason": e["reason"]}
for e in shorten_log
]
return fields
except Exception as e: # noqa: BLE001 — isolation guarantee
logger.warning("seo.fields: generation failed, falling back to bare draft",
error=str(e))
return None
# ─── 3. Deterministic internal-link insertion ──────────────────────────────
def _sanitize_links(suggestions: list[dict], menu: list[dict]) -> list[dict]:
"""Defense-in-depth: drop malformed link suggestions before insertion/reporting.
The "phrase" must be SHORT verbatim ARTICLE text — never a slug or a menu
title. A suggestion is dropped when its phrase equals its own slug, any menu
slug, or any menu title (the slug-as-phrase / title-as-phrase traps). Even if
the model ignores the prompt rule, the output stays clean. Drops are logged at
debug and never raise; survivors still go through the verbatim-in-body guard.
"""
menu_slugs = {(m.get("slug") or "").strip().casefold() for m in menu}
menu_titles = {(m.get("title") or "").strip().casefold() for m in menu}
menu_slugs.discard("")
menu_titles.discard("")
clean: list[dict] = []
for s in suggestions:
phrase = (s.get("phrase") or "").strip()
slug = (s.get("slug") or "").strip()
if not phrase or not slug:
continue
pf = phrase.casefold()
if pf == slug.casefold() or pf in menu_slugs or pf in menu_titles:
logger.debug("seo.links: dropped malformed suggestion (slug/title as phrase)",
phrase=phrase, slug=slug)
continue
clean.append({"phrase": phrase, "slug": slug})
return clean
def insert_internal_links(
html: str,
suggestions: list[dict],
menu: list[dict],
lang: str = "en",
) -> tuple[str, int]:
"""Wrap the FIRST verbatim, word-boundary occurrence of each suggested phrase
in an <a> to its menu slug. Deterministic — the LLM never edits HTML.
Rules: slug must be in the menu; phrase must appear verbatim in a TEXT node
(never inside a tag, never inside an existing <a>); word-boundary match (no
partial words); each phrase/slug used at most once; cap at MAX_INTERNAL_LINKS.
A phrase that is missing or already linked is silently skipped (never forced,
never an error). Returns (modified_html, inserted_pairs) where inserted_pairs
is the list of {phrase, slug} dicts actually wrapped (len == links inserted).
"""
if not html or not suggestions:
return html, []
site = SITE_BY_LANG.get(lang, SITE_BY_LANG["en"])
menu_slugs = {m["slug"] for m in menu if m.get("slug")}
# Split into tag tokens and text tokens; we only ever edit text tokens, and
# only when not inside an <a>…</a> (anchor depth 0). This guarantees no nested
# links and no edits inside tag attributes.
tokens = re.split(r"(<[^>]+>)", html)
inserted = 0
inserted_pairs: list[dict] = []
used_phrases: set[str] = set()
used_slugs: set[str] = set()
for sug in suggestions:
if inserted >= MAX_INTERNAL_LINKS:
break
phrase = (sug.get("phrase") or "").strip()
slug = (sug.get("slug") or "").strip()
if not phrase or not slug:
continue
if slug not in menu_slugs:
continue
if phrase in used_phrases or slug in used_slugs:
continue
pat = re.compile(r"(?<!\w)" + re.escape(phrase) + r"(?!\w)")
anchor_depth = 0
done = False
for i, tok in enumerate(tokens):
if tok.startswith("<") and tok.endswith(">"):
low = tok.lower()
if low.startswith("<a") and not low.startswith("</a"):
anchor_depth += 1
elif low.startswith("</a"):
anchor_depth = max(0, anchor_depth - 1)
continue
if anchor_depth > 0 or not tok:
continue
m = pat.search(tok)
if not m:
continue
replacement = (
f'<a href="https://{site}/{slug}/">{m.group(0)}</a>'
)
tokens[i] = tok[:m.start()] + replacement + tok[m.end():]
inserted += 1
inserted_pairs.append({"phrase": phrase, "slug": slug})
used_phrases.add(phrase)
used_slugs.add(slug)
done = True
break
if not done:
logger.debug("seo.links: phrase not found / already linked, skipped",
phrase=phrase, slug=slug)
return "".join(tokens), inserted_pairs
-220
View File
@@ -1,220 +0,0 @@
# -----------------------------------------------------------------------------
# VENDORED COPY — DO NOT EDIT THIS FILE BY HAND.
#
# Canonical source of truth:
# git.chemavx.xyz/chemavx/chemavx-seo-tools -> seo_rules.py
# (local working copy: ~/seo-tools/seo_rules.py)
#
# The bot reuses the shared SEO rule engine inside the container, where
# seo-tools is not installed. Everything below the BEGIN marker is a
# byte-for-byte copy of the canonical file.
#
# To update: edit the canonical, then run `make sync-seo` (re-copies here).
# Drift guard: CI step "Verify vendored SEO engine" clones the canonical and
# diffs it against the content below the marker; the build FAILS on
# any divergence. Locally, `make check-seo-sync` does the same.
# -----------------------------------------------------------------------------
# ===== BEGIN VENDORED seo_rules.py (exact copy of canonical; do not edit below) =====
"""
Reusable SEO rule engine for The Exclusion Zone (EN) theexclusionzone.com (Ghost).
Pure functions, NO I/O. Feed it a Ghost Admin API post dict (with `html` format
included) and it returns a list of Violation(rule, severity, message, fix).
Shared by:
- seo_audit.py Tool A, site-wide auditor (this engine, run over all posts)
- (future) seo_validate.py Tool C, pre-publish validator (same engine, one draft)
Design note: every check is an independent function registered in RULES. To add a
rule, write a function (post) -> list[Violation] and append it to RULES. The auditor
and the validator both just call check_post(); they never re-implement a check.
"""
import re
from collections import namedtuple
SITE_HOST = "theexclusionzone.com"
# ---- thresholds (single source of truth, reused by validator) -------------
META_TITLE_MAX = 60
META_DESC_MAX = 145
CUSTOM_EXCERPT_MAX = 300
MIN_INTERNAL_LINKS = 2
# ---- severity weights (used to rank "worst first") ------------------------
HIGH, MED, LOW, INFO = 3, 2, 1, 0
SEV_NAME = {HIGH: "HIGH", MED: "MED", LOW: "LOW", INFO: "INFO"}
# The Edition-main theme injects BlogPosting JSON-LD globally in default.hbs
# ({{#is "post"}} ... <script type="application/ld+json"> @type BlogPosting),
# plus Ghost's own {{ghost_head}}. So JSON-LD is handled site-wide and is NOT a
# per-post rule. Flip to False only if that theme block is ever removed.
THEME_HANDLES_JSONLD = True
Violation = namedtuple("Violation", "rule severity message fix")
def _s(v):
return v if isinstance(v, str) else ""
def _empty(v):
return not (isinstance(v, str) and v.strip())
# First path segments that are NOT article posts on a Ghost site (tags, authors,
# pagination, static content, etc.). Keeps root-relative link counting from
# treating /tag/foo or /content/images/... as an internal article link.
NON_POST_PREFIXES = {
"tag", "tags", "author", "page", "p", "content", "assets",
"rss", "ghost", "members", "404", "sitemap",
}
def _internal_slug(href, self_slug):
"""Return the article slug an href points to if it's an internal POST link,
else None. Accepts both absolute (contains SITE_HOST) and root-relative
("/slug/") forms; rejects protocol-relative ("//host"), anchors, mailto,
external links, static assets, and known non-post sections."""
if SITE_HOST in href:
path = re.sub(r"^https?://[^/]+/", "", href)
elif href.startswith("/") and not href.startswith("//"):
path = href[1:]
else:
return None
slug = path.strip("/").split("/")[0]
if not slug or slug == self_slug:
return None
if slug in NON_POST_PREFIXES or "." in slug: # section page or static asset
return None
return slug
def internal_links(post):
"""Distinct internal article slugs linked from the body, excluding self-links.
Counts BOTH absolute internal links (href containing SITE_HOST) and
root-relative links ("/slug/"), so a Ghost-relative link isn't miscounted as
"too few". Tool A (auditor) and Tool C (validator) share this, staying in sync.
"""
html = _s(post.get("html"))
self_slug = post.get("slug")
out = set()
for m in re.finditer(r'href="([^"#]+)"', html):
slug = _internal_slug(m.group(1), self_slug)
if slug:
out.add(slug)
return out
# --- individual rules -------------------------------------------------------
def r_meta_title(p):
mt = _s(p.get("meta_title"))
title = _s(p.get("title"))
if _empty(mt):
sev = MED if len(title) > META_TITLE_MAX else LOW
return [Violation("meta_title.missing", sev,
f"meta_title missing → falls back to title ({len(title)} chars"
+ (f", which is >{META_TITLE_MAX}!" if len(title) > META_TITLE_MAX else "") + ")",
"set meta_title")]
if len(mt) > META_TITLE_MAX:
return [Violation("meta_title.too_long", MED,
f"meta_title {len(mt)} chars > {META_TITLE_MAX}", "shorten meta_title")]
return []
def r_meta_description(p):
md = _s(p.get("meta_description"))
if _empty(md):
return [Violation("meta_description.missing", HIGH,
"meta_description MISSING (no SERP snippet control)", "write meta_description")]
if len(md) > META_DESC_MAX:
return [Violation("meta_description.too_long", MED,
f"meta_description {len(md)} chars > {META_DESC_MAX} (will be truncated in SERP)",
"shorten meta_description")]
return []
def r_custom_excerpt(p):
ce = _s(p.get("custom_excerpt"))
if ce and len(ce) > CUSTOM_EXCERPT_MAX:
return [Violation("custom_excerpt.too_long", LOW,
f"custom_excerpt {len(ce)} chars > {CUSTOM_EXCERPT_MAX}", "shorten custom_excerpt")]
return []
def r_social_fields(p):
"""OG/Twitter empties — the safest auto-fixable category (mirror meta_*)."""
out = []
fallbacks = {
"og_title": "meta_title",
"og_description": "meta_description",
"twitter_title": "meta_title",
"twitter_description": "meta_description",
}
for field, src in fallbacks.items():
if _empty(p.get(field)):
out.append(Violation(f"{field}.empty", LOW,
f"{field} empty", f"mirror from {src}"))
return out
def r_feature_image(p):
out = []
if _empty(p.get("feature_image")):
out.append(Violation("feature_image.missing", MED,
"feature_image missing (no social/share card image)", "add feature image"))
else:
if _empty(p.get("feature_image_alt")):
out.append(Violation("feature_image_alt.missing", LOW,
"feature_image_alt missing (a11y + image SEO)", "add feature image alt text"))
return out
def r_internal_links(p):
n = len(internal_links(p))
if n < MIN_INTERNAL_LINKS:
return [Violation("internal_links.too_few", MED,
f"{n} internal link(s) < {MIN_INTERNAL_LINKS} (weak interlinking)",
"add internal links to related articles")]
return []
def r_title_equals_meta(p):
mt = _s(p.get("meta_title"))
title = _s(p.get("title"))
if mt and mt == title:
return [Violation("title_eq_meta_title", INFO,
"meta_title identical to title (often fine; review)", "")]
return []
def r_jsonld(p):
if THEME_HANDLES_JSONLD:
return []
return [Violation("jsonld.missing", MED, "no BlogPosting JSON-LD", "add JSON-LD")]
RULES = [
r_meta_title,
r_meta_description,
r_custom_excerpt,
r_social_fields,
r_feature_image,
r_internal_links,
r_title_equals_meta,
r_jsonld,
]
def check_post(post):
"""Run every rule against one post dict → list[Violation]."""
out = []
for rule in RULES:
out.extend(rule(post))
return out
def score(violations):
"""Total severity weight (for ranking posts worst-first); INFO counts 0."""
return sum(v.severity for v in violations)
-29
View File
@@ -11,16 +11,6 @@ def test_detect_source_type():
assert detect_source_type("https://example.com/article") == "web"
def test_detect_source_type_rss():
assert detect_source_type("https://thedebrief.org/feed/") == "rss"
assert detect_source_type("https://example.com/rss") == "rss"
assert detect_source_type("https://example.com/feeds/all.atom.xml") == "rss"
assert detect_source_type("https://www.liberationtimes.com/?format=rss") == "rss"
# Falsos positivos del substring viejo: no son feeds.
assert detect_source_type("https://example.com/feedback") == "web"
assert detect_source_type("https://example.com/atomic-theory") == "web"
def test_is_blacklisted():
assert is_blacklisted("https://facebook.com/something") == True
assert is_blacklisted("https://en.wikipedia.org/wiki/Test") == False
@@ -36,22 +26,3 @@ def test_simple_chunk():
chunks = simple_chunk(text, chunk_size=100, overlap=20)
assert len(chunks) > 1
assert all(isinstance(c, str) for c in chunks)
def test_unwrap_news_link():
from src.scraper.exhaustive import _unwrap_news_link
wrapped = ("http://www.bing.com/news/apiclick.aspx?ref=FexRss&aid=&tid=x"
"&url=https://example.com/article&c=1&mkt=es-es")
assert _unwrap_news_link(wrapped) == "https://example.com/article"
# Links normales pasan intactos
assert _unwrap_news_link("https://thedebrief.org/foo") == "https://thedebrief.org/foo"
# url= protocol-relative se normaliza a https
assert _unwrap_news_link(
"http://www.bing.com/news/apiclick.aspx?url=//example.com/article"
) == "https://example.com/article"
# apiclick sin url= usable se descarta ("" → el caller lo salta), nunca se
# deja pasar el redirect de bing.com como fuente
assert _unwrap_news_link("http://www.bing.com/news/apiclick.aspx?ref=x") == ""
assert _unwrap_news_link(
"http://www.bing.com/news/apiclick.aspx?url=javascript:alert(1)"
) == ""
-39
View File
@@ -1,39 +0,0 @@
from src.seo.autofill import ALLOWED_TAGS, DEFAULT_TAG, _coerce, _system_prompt
BASE = {
"meta_title": "t",
"meta_description": "d",
"custom_excerpt": "e",
"image_query": "q",
"image_context": "c",
}
def test_coerce_es_drops_invented_tags():
obj = dict(BASE, tags=["uap", "humanoides", "Desclasificados", "investigacion-2"])
out = _coerce(obj, "es")
assert out["tags"] == ["uap", "desclasificados"]
def test_coerce_es_falls_back_to_default():
obj = dict(BASE, tags=["pentagono", "encuentros-cercanos"])
out = _coerce(obj, "es")
assert out["tags"] == [DEFAULT_TAG["es"]]
def test_coerce_en_still_constrained():
obj = dict(BASE, tags=["uap", "investigacion"])
out = _coerce(obj, "en")
assert out["tags"] == ["uap"]
def test_system_prompt_lists_allowed_tags_per_lang():
es = _system_prompt("es")
en = _system_prompt("en")
for tag in ALLOWED_TAGS["es"]:
assert tag in es
# La regla anti-legacy 'never use "investigacion"' es solo para EN: en ES
# "investigacion" es el tag canónico del allow-list.
assert 'never use "investigacion"' in en
assert 'never use "investigacion"' not in es
assert "ONLY from this exact list" in es