GenerAI / crawler.py
amogaddy's picture
Rete Ragno: segue le fonti citate in nota (Wikipedia + siti generici), secondo nodo di partenza da World Monitor, riepilogo AI finale; brain.py: le ricerche partono da World Monitor prima del web
ff0f2cc verified
Raw
History Blame Contribute Delete
18.7 kB
import json
import os
import concurrent.futures
from typing import Generator, Optional
from urllib.parse import urljoin, urlparse
import requests
import trafilatura
from errors import get_logger, fmt_exc
log = get_logger("crawler")
CREDITS_FILE = "./database/credits.json"
DEFAULT_CREDITS = 10_000
SEED_DOMAINS = [
"https://it.wikipedia.org",
"https://en.wikipedia.org",
"https://www.treccani.it",
"https://www.ansa.it",
"https://www.corriere.it",
]
_SKIP_DOMAINS = {
"facebook.com", "twitter.com", "x.com", "instagram.com", "youtube.com",
"tiktok.com", "pinterest.com", "linkedin.com", "amazon.com", "ebay.com",
"google.com", "googleapis.com", "gstatic.com", "doubleclick.net",
}
# Link di licenza/boilerplate che compaiono nel footer di ogni pagina Wikipedia
# — non sono fonti citate, vanno esclusi dalle fonti in nota.
_CITATION_SKIP_DOMAINS = _SKIP_DOMAINS | {
"creativecommons.org", "wikimediafoundation.org", "foundation.wikimedia.org",
}
_SKIP_EXTENSIONS = (".pdf", ".jpg", ".jpeg", ".png", ".gif", ".zip",
".css", ".js", ".svg", ".ico", ".xml", ".rss", ".atom")
_HEADERS = {"User-Agent": "Mozilla/5.0 (compatible; GenerAI-Spider/2.0; +https://amogaddy-generai.hf.space)"}
# Namespace/azioni tecniche di MediaWiki — non sono articoli, vanno scartati
# dai link normali (es. "Registrati", "Entra", "Discussione", "Modifica").
_WIKI_JUNK_MARKERS = (
"action=edit", "veaction=", "action=history", "redlink=1",
"/wiki/Speciale:", "/wiki/Special:", "/wiki/Discussione:", "/wiki/Talk:",
"/wiki/Utente:", "/wiki/User:", "/wiki/Aiuto:", "/wiki/Help:",
"/wiki/Wikipedia:", "/wiki/Progetto:", "/wiki/Portale:", "/wiki/Portal:",
"/wiki/Template:", "/wiki/Categoria:", "/wiki/Category:",
"/wiki/File:", "/wiki/Modulo:", "/wiki/Module:", "/wiki/MediaWiki:",
"/w/index.php",
)
# Quante fonti citate in nota seguire al massimo, in aggiunta al budget scelto.
CITATION_BONUS_CAP = 4
def _is_junk_link(href: str) -> bool:
return any(marker in href for marker in _WIKI_JUNK_MARKERS)
# ── Credit Ledger ──────────────────────────────────────────────────────────────
class CreditLedger:
def __init__(self):
os.makedirs("./database", exist_ok=True)
if os.path.exists(CREDITS_FILE):
try:
with open(CREDITS_FILE) as f:
self._data = json.load(f)
except Exception:
self._data = {"remaining": DEFAULT_CREDITS, "total_used": 0}
else:
self._data = {"remaining": DEFAULT_CREDITS, "total_used": 0}
self._save()
def _save(self):
try:
with open(CREDITS_FILE, "w") as f:
json.dump(self._data, f)
except Exception as e:
log.warning("Impossibile salvare crediti: %s", fmt_exc(e))
@property
def remaining(self) -> int:
return int(self._data.get("remaining", 0))
@property
def total_used(self) -> int:
return int(self._data.get("total_used", 0))
def use(self, n: int = 1) -> bool:
if self._data["remaining"] < n:
return False
self._data["remaining"] -= n
self._data["total_used"] = self._data.get("total_used", 0) + n
self._save()
return True
def add(self, n: int):
self._data["remaining"] = self._data.get("remaining", 0) + n
self._save()
# ── Helpers ────────────────────────────────────────────────────────────────────
def _score(text: str, query: str) -> float:
words = [w for w in query.lower().split() if len(w) > 2]
if not words:
return 0.0
t = text.lower()
return sum(1 for w in words if w in t) / len(words)
def _extract_links(raw_html: str, base_url: str, query: str) -> list[tuple[str, str, float]]:
links = []
try:
from lxml import html as lhtml
tree = lhtml.fromstring(raw_html)
tree.make_links_absolute(base_url)
seen_urls: set[str] = set()
for a in tree.xpath("//a[@href]"):
href = a.get("href", "").split("#")[0]
if not href.startswith("http"):
continue
if _is_junk_link(href):
continue
if any(href.lower().endswith(ext) for ext in _SKIP_EXTENSIONS):
continue
domain = urlparse(href).netloc.lower()
if any(skip in domain for skip in _SKIP_DOMAINS):
continue
if href in seen_urls:
continue
seen_urls.add(href)
anchor = (a.text_content() or "").strip()[:200]
score = _score(anchor + " " + href, query)
links.append((href, anchor, score))
except Exception as e:
log.debug("Link extraction error: %s", fmt_exc(e))
links.sort(key=lambda x: -x[2])
return links
def _extract_citation_links(raw_html: str, base_url: str, limit: int = CITATION_BONUS_CAP) -> list[tuple[str, str]]:
"""Estrae i link alle fonti esterne citate in nota/bibliografia.
Su Wikipedia/MediaWiki ogni link esterno è marcato con class="external",
sia dentro le sezioni Note/Bibliografia/Collegamenti esterni sia nel corpo
del testo — è il modo più affidabile per trovare "le fonti dietro
l'articolo" senza individuare i confini esatti delle sezioni.
Su un sito qualsiasi (non Wikipedia) quel marcatore non esiste: si usa un
criterio generale, cioè qualunque link che porta fuori dal dominio della
pagina corrente è trattato come una possibile fonte esterna citata.
"""
links: list[tuple[str, str]] = []
try:
from lxml import html as lhtml
tree = lhtml.fromstring(raw_html)
tree.make_links_absolute(base_url)
base_domain = urlparse(base_url).netloc.lower()
is_wiki = "wikipedia.org" in base_domain
candidates = (
tree.xpath('//a[contains(concat(" ", normalize-space(@class), " "), " external ")]')
if is_wiki else tree.xpath("//a[@href]")
)
seen: set[str] = set()
for a in candidates:
href = a.get("href", "").split("#")[0]
if not href.startswith("http") or href in seen:
continue
if _is_junk_link(href):
continue
if any(href.lower().endswith(ext) for ext in _SKIP_EXTENSIONS):
continue
domain = urlparse(href).netloc.lower()
if any(skip in domain for skip in _CITATION_SKIP_DOMAINS):
continue
if not is_wiki and domain == base_domain:
continue # su un sito generico contano solo i link VERSO l'esterno
seen.add(href)
anchor = (a.text_content() or "").strip()[:200]
links.append((href, anchor))
if len(links) >= limit:
break
except Exception as e:
log.debug("Citation extraction error: %s", fmt_exc(e))
return links
def _get_title(raw_html: str) -> str:
try:
from lxml import html as lhtml
tree = lhtml.fromstring(raw_html)
t = tree.xpath("//title/text()")
return (t[0].strip()[:80]) if t else ""
except Exception:
return ""
def _find_start_url(query: str) -> Optional[str]:
for lang in ("it", "en"):
try:
resp = requests.get(
f"https://{lang}.wikipedia.org/w/api.php",
params={"action": "query", "list": "search", "srsearch": query,
"format": "json", "srlimit": 1},
timeout=8, headers=_HEADERS,
)
if resp.status_code == 200:
results = resp.json().get("query", {}).get("search", [])
if results:
title = results[0]["title"]
url = f"https://{lang}.wikipedia.org/wiki/{title.replace(' ', '_')}"
log.info("Start URL (%s): %s", lang, url)
return url
except Exception as e:
log.debug("Wikipedia start fallita (%s): %s", lang, fmt_exc(e))
# Fallback: opensearch di Wikipedia (suggerimenti, più permissivo della ricerca full-text)
for lang in ("it", "en"):
try:
resp = requests.get(
f"https://{lang}.wikipedia.org/w/api.php",
params={"action": "opensearch", "search": query, "limit": 1, "format": "json"},
timeout=8, headers=_HEADERS,
)
if resp.status_code == 200:
data = resp.json()
urls = data[3] if len(data) > 3 else []
if urls:
log.info("Start URL opensearch (%s): %s", lang, urls[0])
return urls[0]
except Exception as e:
log.debug("Wikipedia opensearch fallita (%s): %s", lang, fmt_exc(e))
return None
def _find_worldmonitor_start(query: str) -> Optional[tuple[str, str]]:
"""Cerca un secondo punto di partenza nei dati locali di World Monitor.
Ritorna (url, title) oppure None se non trova nulla di pertinente."""
try:
import worldmonitor_client
items = worldmonitor_client.find_relevant(query, max_items=1)
if items and items[0].get("url"):
return items[0]["url"], items[0].get("title", items[0]["url"])
except Exception as e:
log.debug("World Monitor start fallito: %s", fmt_exc(e))
return None
# ── Motore di rendering (browser headless, per pagine basate su JavaScript) ────
class _Renderer:
"""Avvia un browser headless (Playwright/Chromium) solo se serve, e lo riusa
per tutta la sessione di crawl. Si chiude con renderer.close()."""
def __init__(self):
self._pw = None
self._browser = None
self._failed = False
def _ensure_browser(self):
if self._browser is not None or self._failed:
return self._browser
try:
from playwright.sync_api import sync_playwright
self._pw = sync_playwright().start()
self._browser = self._pw.chromium.launch(headless=True)
except Exception as e:
log.debug("Motore di rendering non disponibile: %s", fmt_exc(e))
self._failed = True
return self._browser
def render(self, url: str) -> Optional[str]:
browser = self._ensure_browser()
if not browser:
return None
page = None
try:
page = browser.new_page(user_agent=_HEADERS["User-Agent"])
page.goto(url, timeout=15000, wait_until="networkidle")
return page.content()
except Exception as e:
log.debug("Rendering fallito %s: %s", url, fmt_exc(e))
return None
finally:
if page:
try:
page.close()
except Exception:
pass
def close(self):
try:
if self._browser:
self._browser.close()
except Exception:
pass
try:
if self._pw:
self._pw.stop()
except Exception:
pass
# ── Core Crawl ─────────────────────────────────────────────────────────────────
def crawl(query: str, budget: int = 10,
use_credit_fn=None, credits_remaining_fn=None) -> Generator[dict, None, None]:
"""
Web crawl puro partendo da Wikipedia.
use_credit_fn() → callable che scala 1 credito e ritorna bool (True = OK)
credits_remaining_fn() → callable che ritorna i crediti rimasti (int)
Se None usa CreditLedger globale.
Le fonti citate in nota/bibliografia della pagina di partenza vengono seguite
con un budget extra dedicato (CITATION_BONUS_CAP pagine), oltre al budget
scelto dall'utente — marcate con is_citation=True negli eventi.
Yield dicts:
{"type": "visiting", "url", "depth", "credits_remaining", "is_citation"}
{"type": "visit", "url", "title", "text", "depth", "parent", "relevance", "credits_remaining", "is_citation"}
{"type": "done", "total_pages", "credits_used", "citations_used", "credits_remaining"}
{"type": "error", "message", "credits_remaining"}
"""
if use_credit_fn is None:
ledger = CreditLedger()
use_credit_fn = ledger.use
credits_remaining_fn = lambda: ledger.remaining
budget = max(1, min(budget, 100))
current_credits = credits_remaining_fn()
if current_credits <= 0:
yield {"type": "error", "message": "Crediti esauriti.", "credits_remaining": 0}
return
start = _find_start_url(query)
if not start:
yield {"type": "error", "message": "Impossibile trovare punto di partenza.",
"credits_remaining": credits_remaining_fn()}
return
visited: set[str] = set()
queue: list[tuple[str, int, str, bool]] = [(start, 0, "query", False)]
# Secondo nodo di partenza: se World Monitor ha qualcosa di pertinente nei
# suoi dati locali (notizie/eventi), il ragno parte anche da lì, creando un
# secondo ramo indipendente accanto a quello di Wikipedia.
wm_start = _find_worldmonitor_start(query)
if wm_start and wm_start[0] != start:
queue.append((wm_start[0], 0, "query", False))
log.info("Secondo punto di partenza (World Monitor): %s", wm_start[0])
pages_found = 0
credits_used = 0
citations_used = 0
citations_enqueued = 0
renderer = _Renderer()
try:
while queue:
url, depth, parent, is_citation = queue.pop(0)
if url in visited:
continue
# Le fonti citate hanno un budget extra dedicato (CITATION_BONUS_CAP),
# separato dal budget di pagine scelto dall'utente. Il controllo (e il
# marcare l'URL come visitato) avviene PRIMA di aggiungerlo a visited:
# se un URL compare sia come link normale che come fonte citata (caso
# comune — una fonte in nota è spesso anche il link più pertinente nel
# corpo del testo), la copia scartata per budget esaurito non deve
# bloccare la copia "citazione" che ha un budget separato ancora libero.
if is_citation:
if citations_used >= CITATION_BONUS_CAP:
continue
elif credits_used >= budget:
continue
visited.add(url)
if not use_credit_fn(1):
yield {"type": "error", "message": "Crediti esauriti.",
"credits_remaining": credits_remaining_fn()}
break
credits_used += 1
if is_citation:
citations_used += 1
yield {"type": "visiting", "url": url, "depth": depth,
"credits_remaining": credits_remaining_fn(), "is_citation": is_citation}
log.info("[crawl] depth=%d | %s", depth, url)
raw_html = None
try:
resp = requests.get(url, timeout=10, headers=_HEADERS, allow_redirects=True)
if resp.status_code == 200:
raw_html = resp.text
else:
log.debug("HTTP %s per %s", resp.status_code, url)
except Exception as e:
log.debug("Fetch fallito %s: %s", url, fmt_exc(e))
text = None
if raw_html:
try:
text = trafilatura.extract(
raw_html,
include_links=False, include_images=False,
include_tables=False, no_fallback=False, url=url,
)
except Exception as e:
log.debug("trafilatura fallito %s: %s", url, fmt_exc(e))
# Pagina vuota/JS-only → prova con il motore di rendering (browser headless)
if not text or len(text) < 40:
rendered_html = renderer.render(url)
if rendered_html:
raw_html = rendered_html
try:
text = trafilatura.extract(
raw_html,
include_links=False, include_images=False,
include_tables=False, no_fallback=False, url=url,
)
except Exception as e:
log.debug("trafilatura (render) fallito %s: %s", url, fmt_exc(e))
if not raw_html or not text or len(text) < 40:
log.debug("Testo insufficiente per %s", url)
continue
title = _get_title(raw_html) or url
relevance = _score(text[:1000], query)
pages_found += 1
yield {
"type": "visit",
"url": url,
"title": title,
"text": text[:2000],
"depth": depth,
"parent": parent,
"relevance": round(relevance, 3),
"credits_remaining": credits_remaining_fn(),
"is_citation": is_citation,
}
# Aggiungi link rilevanti alla coda (max depth=2, max 4 link per pagina)
if credits_used < budget and depth < 2:
links = _extract_links(raw_html, url, query)
added = 0
for link_url, _, _ in links:
if link_url not in visited and added < 4:
queue.append((link_url, depth + 1, title, False))
added += 1
# Fonti citate in nota — solo dalla pagina di partenza, budget extra dedicato
if depth == 0 and citations_enqueued < CITATION_BONUS_CAP:
for link_url, _ in _extract_citation_links(raw_html, url):
if link_url not in visited and citations_enqueued < CITATION_BONUS_CAP:
queue.append((link_url, depth + 1, title, True))
citations_enqueued += 1
finally:
renderer.close()
yield {
"type": "done",
"total_pages": pages_found,
"credits_used": credits_used,
"citations_used": citations_used,
"credits_remaining": credits_remaining_fn(),
}