gemini sessions werden beim start bereinigt

This commit is contained in:
2026-04-12 17:03:45 +02:00
parent 35c06e384c
commit 10cfa491af

View File

@@ -4,6 +4,8 @@ import os
import difflib
import sys
import subprocess
import shutil
from pathlib import Path
import logging
import requests
from bs4 import BeautifulSoup
@@ -19,11 +21,11 @@ BASE_DIR = os.path.dirname(__file__)
logging.basicConfig(
level=LOG_LEVEL,
format='%(asctime)s [%(levelname)s] %(message)s',
format="%(asctime)s [%(levelname)s] %(message)s",
handlers=[
logging.FileHandler(os.path.join(BASE_DIR, "crawler.log"), encoding='utf-8'),
logging.StreamHandler(sys.stdout)
]
logging.FileHandler(os.path.join(BASE_DIR, "crawler.log"), encoding="utf-8"),
logging.StreamHandler(sys.stdout),
],
)
logger = logging.getLogger("crawler")
sys.stdout.reconfigure(encoding="utf-8")
@@ -35,6 +37,7 @@ scraper = cloudscraper.create_scraper(
# --- DATENBANK SETUP ---
DB_PATH = os.path.join(BASE_DIR, "polit_scraper.db")
def sende_admin(titel, nachricht):
admin_url = f"{os.getenv('NTFY_BASE')}/polit-scraper-admin"
try:
@@ -43,16 +46,22 @@ def sende_admin(titel, nachricht):
data=nachricht.encode("utf-8"),
headers={"Title": titel.encode("utf-8"), "Priority": "4"},
auth=(os.getenv("ADMIN_USER"), os.getenv("ADMIN_PW")),
timeout=5
timeout=5,
)
except: pass
except:
pass
def setup_db():
conn = sqlite3.connect(DB_PATH, timeout=20)
cursor = conn.cursor()
cursor.execute("CREATE TABLE IF NOT EXISTS seiten_stand (url TEXT PRIMARY KEY, inhalt TEXT, zeit TEXT)")
cursor.execute("CREATE TABLE IF NOT EXISTS artikel (artikel_url TEXT PRIMARY KEY, status TEXT)")
cursor.execute(
"CREATE TABLE IF NOT EXISTS seiten_stand (url TEXT PRIMARY KEY, inhalt TEXT, zeit TEXT)"
)
cursor.execute(
"CREATE TABLE IF NOT EXISTS artikel (artikel_url TEXT PRIMARY KEY, status TEXT)"
)
# Tabelle direkt mit allen Spalten erstellen, ohne ALTER TABLE
cursor.execute("""
CREATE TABLE IF NOT EXISTS analysis_queue (
@@ -70,16 +79,27 @@ def setup_db():
conn.commit()
conn.close()
def ist_sinnvoller_text(text):
if len(text.strip()) < 300:
return False
nav_keywords = ["startseite", "lokales", "aktuelles", "veranstaltungen", "kontakt", "impressum", "baustelle", "meldungen"]
nav_keywords = [
"startseite",
"lokales",
"aktuelles",
"veranstaltungen",
"kontakt",
"impressum",
"baustelle",
"meldungen",
]
text_lower = text.lower()
match_count = sum(text_lower.count(k) for k in nav_keywords)
if match_count > 5:
return False
return True
def queue_article(url, text, source_url):
if not ist_sinnvoller_text(text):
logger.debug(f"Überspringe Müll-Text: {url}")
@@ -92,52 +112,68 @@ def queue_article(url, text, source_url):
logger.debug(f"Queue: {url}")
cursor.execute(
"INSERT OR IGNORE INTO analysis_queue (url, raw_text, source_url) VALUES (?, ?, ?)",
(url, text[:12000], source_url)
(url, text[:12000], source_url),
)
cursor.execute(
"INSERT OR IGNORE INTO artikel (artikel_url, status) VALUES (?, ?)",
(url, "gequeued"),
)
cursor.execute("INSERT OR IGNORE INTO artikel (artikel_url, status) VALUES (?, ?)", (url, "gequeued"))
conn.commit()
conn.close()
def bereinige_url(url_roh, basis_url):
clean = url_roh.replace("", "").replace('"', "").replace("'", "").strip()
if clean.lower().startswith("http"): return clean
if clean.lower().startswith("http"):
return clean
return urljoin(basis_url, clean)
def extrahiere_links(soup, basis_url):
links = []
ignore_ext = (".pdf", ".jpg", ".jpeg", ".png", ".gif", ".zip", ".docx")
basis_domain = urlparse(basis_url).netloc
for a in soup.find_all("a", href=True):
full_url = bereinige_url(a["href"], basis_url)
if full_url.lower().endswith(ignore_ext): continue
if full_url.lower().endswith(ignore_ext):
continue
if urlparse(full_url).netloc == basis_domain:
if len(full_url) > len(basis_url.rstrip("/")) + 1:
links.append(full_url)
return list(set(links))
def hole_artikel_text(url):
try:
antwort = scraper.get(url, timeout=10)
soup = BeautifulSoup(antwort.text, "html.parser")
for element in soup(["header", "footer", "nav", "script", "style", "aside"]):
element.decompose()
bereich = soup.find("main") or soup.find("article") or soup.find("div", class_="content")
if not bereich: return None
bereich = (
soup.find("main")
or soup.find("article")
or soup.find("div", class_="content")
)
if not bereich:
return None
text = bereich.get_text(separator=" ", strip=True)
return text[:12000]
except Exception as e:
logger.error(f"Fehler bei {url}: {e}")
return None
def finde_link_fuer_text(text_snippet, soup, basis_url):
schnipsel = text_snippet.strip().lower()
if len(schnipsel) < 10: return None
if len(schnipsel) < 10:
return None
for a in soup.find_all("a", href=True):
link_text = a.get_text(separator=" ", strip=True).lower()
if schnipsel in link_text or link_text in schnipsel:
return bereinige_url(a["href"], basis_url)
return None
def verarbeite_website(url):
logger.info(f"Prüfe: {url}")
try:
@@ -146,23 +182,29 @@ def verarbeite_website(url):
antwort = scraper.get(url, timeout=15)
if antwort.status_code != 200:
logger.error(f"Website Fehler: {url} Status {antwort.status_code}")
sende_admin("Crawler Fehler", f"URL {url} lieferte Status {antwort.status_code}.")
sende_admin(
"Crawler Fehler", f"URL {url} lieferte Status {antwort.status_code}."
)
return
soup = BeautifulSoup(antwort.text, "html.parser")
for element in soup(["header", "footer", "nav", "script", "style", "aside"]):
element.decompose()
hauptbereich = soup.find("main") or soup.find("article") or soup.find("div", class_="content")
hauptbereich = (
soup.find("main")
or soup.find("article")
or soup.find("div", class_="content")
)
if not hauptbereich:
logger.debug(f"Überspringe Seite ohne Inhalts-Struktur: {url}")
return
neuer_text = hauptbereich.get_text(separator=" ", strip=True)
cursor.execute("SELECT inhalt FROM seiten_stand WHERE url = ?", (url,))
zeile = cursor.fetchone()
alter_text = zeile[0] if zeile else ""
aktuelle_links = extrahiere_links(soup, url)
for link in aktuelle_links:
cursor.execute("SELECT 1 FROM artikel WHERE artikel_url = ?", (link,))
@@ -171,54 +213,93 @@ def verarbeite_website(url):
artikel_inhalt = hole_artikel_text(link)
if artikel_inhalt:
queue_article(link, artikel_inhalt, url)
if alter_text != neuer_text:
diff = [z[2:] for z in difflib.ndiff(alter_text.splitlines(), neuer_text.splitlines()) if z.startswith("+ ") and len(z[2:].strip()) > 30]
diff = [
z[2:]
for z in difflib.ndiff(alter_text.splitlines(), neuer_text.splitlines())
if z.startswith("+ ") and len(z[2:].strip()) > 30
]
for line in diff:
passender_link = finde_link_fuer_text(line[:40], soup, url)
target_url = passender_link if passender_link else url
cursor.execute("SELECT 1 FROM artikel WHERE artikel_url = ?", (target_url,))
cursor.execute(
"SELECT 1 FROM artikel WHERE artikel_url = ?", (target_url,)
)
if cursor.fetchone() is None:
logger.info(f"Änderung: {target_url}")
text_zu_analysieren = hole_artikel_text(passender_link) if passender_link else line
text_zu_analysieren = (
hole_artikel_text(passender_link) if passender_link else line
)
if text_zu_analysieren:
queue_article(target_url, text_zu_analysieren, url)
cursor.execute("INSERT OR REPLACE INTO seiten_stand (url, inhalt, zeit) VALUES (?, ?, ?)", (url, neuer_text, str(datetime.now())))
cursor.execute(
"INSERT OR REPLACE INTO seiten_stand (url, inhalt, zeit) VALUES (?, ?, ?)",
(url, neuer_text, str(datetime.now())),
)
conn.commit()
conn.close()
except Exception as e:
logger.error(f"Fehler bei {url}: {e}")
def ensure_workers_running():
try:
max_workers = int(os.getenv("MAX_ANALYZER_WORKERS", "5"))
output = subprocess.check_output(["ps", "-ef"]).decode()
running_analyzers = output.count("analyzer.py")
running_notifiers = output.count("notifier.py")
base_dir = os.path.dirname(__file__)
if running_analyzers < max_workers:
needs = max_workers - running_analyzers
logger.info(f"Starte {needs} Analyzer (Ziel: {max_workers})...")
for _ in range(needs):
subprocess.Popen([sys.executable, os.path.join(base_dir, "analyzer.py")],
stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
subprocess.Popen(
[sys.executable, os.path.join(base_dir, "analyzer.py")],
stdout=subprocess.DEVNULL,
stderr=subprocess.DEVNULL,
)
if running_notifiers < 1:
logger.info("Starte Notifier...")
subprocess.Popen([sys.executable, os.path.join(base_dir, "notifier.py")],
stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
subprocess.Popen(
[sys.executable, os.path.join(base_dir, "notifier.py")],
stdout=subprocess.DEVNULL,
stderr=subprocess.DEVNULL,
)
except Exception as e:
logger.error(f"Worker-Check Fehler: {e}")
# --- HAUPTPROGRAMM ---
logger.info("Crawler Start.")
setup_db()
# Lösche Gemini CLI Daten auf dem Server
# Die CLI speichert Sitzungen in history und tmp Verzeichnissen
gemini_paths = [
Path("/root/.gemini/history"),
Path("/root/.gemini/tmp")
]
for path in gemini_paths:
if path.exists():
try:
shutil.rmtree(path)
path.mkdir(parents=True, exist_ok=True)
logger.info(f"Erfolgreich geleert: {path}")
except Exception as e:
logger.error(f"Fehler beim Leeren von {path}: {e}")
else:
logger.info(f"Pfad existiert nicht: {path}")
urls_file = os.path.join(BASE_DIR, "urls.txt")
with open(urls_file, "r", encoding="utf-8") as datei:
for zeile in datei:
adresse = zeile.strip()
if not adresse or adresse.startswith("#"): continue
if not adresse or adresse.startswith("#"):
continue
verarbeite_website(adresse)
ensure_workers_running()