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| import requests
import json
import sqlite3
from pathlib import Path
BASE_DIR = Path(__file__).resolve().parent
DB_FILE = BASE_DIR / "dns_categories.db"
STATE_FILE = BASE_DIR / "state.json"
CATEGORY_DIR = BASE_DIR / "categories"
UNKNOWN_FILE = BASE_DIR / "unknown_domains.json"
####
#### Create DB if needed ####
####
conn = sqlite3.connect(DB_FILE)
cursor = conn.cursor()
cursor.execute("""
CREATE TABLE IF NOT EXISTS categorized_queries (
timestamp TEXT NOT NULL,
client TEXT NOT NULL,
domain TEXT NOT NULL,
category TEXT NOT NULL,
status TEXT NOT NULL,
reason TEXT NOT NULL,
UNIQUE(timestamp, client, domain, category, status, reason)
)
""")
cursor.execute("""
CREATE INDEX IF NOT EXISTS idx_client
ON categorized_queries(client)
""")
cursor.execute("""
CREATE INDEX IF NOT EXISTS idx_category
ON categorized_queries(category)
""")
cursor.execute("""
CREATE INDEX IF NOT EXISTS idx_domain
ON categorized_queries(domain)
""")
cursor.execute("""
CREATE INDEX IF NOT EXISTS idx_status
ON categorized_queries(status)
""")
cursor.execute("""
CREATE INDEX IF NOT EXISTS idx_reason
ON categorized_queries(reason)
""")
conn.commit()
#### End ####
####
#### - Hash sets - ####
####
CATEGORY_FILES = {
file.stem: file.name
for file in CATEGORY_DIR.glob("*.txt")
}
try:
with open(STATE_FILE) as f:
state = json.load(f)
except FileNotFoundError:
state = {"last_processed_time": ""}
try:
with open(UNKNOWN_FILE) as f:
unknown_domains = json.load(f)
except FileNotFoundError:
unknown_domains = {}
category_sets = {}
####
#### Read HaGeZi files ####
####
for category, filename in CATEGORY_FILES.items():
domains = set()
with open(CATEGORY_DIR / filename) as f:
for line in f:
line = line.strip()
if not line or line.startswith("#"):
continue
domains.add(line.lower())
category_sets[category] = domains
#### END ####
####
#### - Find matches - ####
####
def domain_match(domain, lookup_set):
domain = domain.lower()
while True:
if domain in lookup_set:
return True
if "." not in domain:
return False
domain = domain.split(".", 1)[1]
#### END ####
def normalize_domain(domain: str, depth: int = 3) -> str:
domain = domain.lower().rstrip(".")
parts = domain.split(".")
if len(parts) <= depth:
return domain
return ".".join(parts[-depth:])
####
#### - Adguard Home API - ####
####
response = requests.get(
"http://192.168.4.24/control/querylog?limit=5000",
params={"limit": 5000},
auth=("admin", "PASSWORD"),
timeout=30
)
queries = response.json()
#### END ####
domain_cache = {}
newest_seen = state['last_processed_time']
for line in queries["data"]:
timestamp = line['time']
if timestamp <= state['last_processed_time']:
break
raw_domain = line['question']['name'].lower().rstrip('.')
storage_domain = normalize_domain(raw_domain, depth=3)
client = line['client']
status = line['status']
reason = line['reason']
if raw_domain not in domain_cache:
categories = []
for category, lookup_set in category_sets.items():
if domain_match(raw_domain, lookup_set):
categories.append(category)
domain_cache[raw_domain] = categories
if domain_cache[raw_domain]:
for category in domain_cache[raw_domain]:
if category == "ignored":
continue
cursor.execute("""
INSERT OR IGNORE INTO categorized_queries
(timestamp, client, domain, category, status, reason)
VALUES (?, ?, ?, ?, ?, ?)
""", (
timestamp,
client,
storage_domain,
category,
status,
reason
))
else:
if storage_domain not in unknown_domains:
unknown_domains[storage_domain] = {
"hits": 0,
"clients": {},
"first_seen": timestamp,
"last_seen": timestamp,
}
unknown_domains[storage_domain]["hits"] += 1
unknown_domains[storage_domain]["last_seen"] = timestamp
unknown_domains[storage_domain]["clients"][client] = (
unknown_domains[storage_domain]["clients"].get(client, 0) + 1
)
if timestamp > newest_seen:
newest_seen = timestamp
conn.commit()
conn.close()
state["last_processed_time"] = newest_seen
sorted_unknown = dict(
sorted(
unknown_domains.items(),
key=lambda item: item[1]["hits"],
reverse=True
)
)
with open(UNKNOWN_FILE, "w") as f:
json.dump(sorted_unknown, f, indent=4)
with open(STATE_FILE, "w") as file:
json.dump(state, file) |
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