Files
DECNET/decnet/web/db/sqlmodel_repo/bounties.py
anti 167f140b0e refactor(db): extract BountiesMixin
Moves the 5 bounty methods plus the cross-table purge_logs_and_bounties
helper into sqlmodel_repo/bounties.py.
2026-04-28 14:46:39 -04:00

140 lines
5.3 KiB
Python

"""Bounty CRUD + the global purge helper that wipes logs/bounties/credentials/attackers together."""
from __future__ import annotations
import json
from collections import defaultdict
from typing import Any, List, Optional
import orjson
from sqlalchemy import asc, desc, func, or_, select, text
from sqlmodel.sql.expression import SelectOfScalar
from decnet.web.db.models import Bounty
class BountiesMixin:
"""Mixin: composed onto ``SQLModelRepository``."""
async def purge_logs_and_bounties(self) -> dict[str, int]:
async with self._session() as session:
logs_deleted = (await session.execute(text("DELETE FROM logs"))).rowcount
bounties_deleted = (await session.execute(text("DELETE FROM bounty"))).rowcount
credentials_deleted = (
await session.execute(text("DELETE FROM credentials"))
).rowcount
# attacker_behavior has FK → attackers.uuid; delete children first.
await session.execute(text("DELETE FROM attacker_behavior"))
attackers_deleted = (await session.execute(text("DELETE FROM attackers"))).rowcount
await session.commit()
return {
"logs": logs_deleted,
"bounties": bounties_deleted,
"credentials": credentials_deleted,
"attackers": attackers_deleted,
}
async def add_bounty(self, bounty_data: dict[str, Any]) -> None:
data = bounty_data.copy()
if "payload" in data and isinstance(data["payload"], dict):
data["payload"] = orjson.dumps(data["payload"]).decode()
async with self._session() as session:
dup = await session.execute(
select(Bounty.id).where(
Bounty.bounty_type == data.get("bounty_type"),
Bounty.attacker_ip == data.get("attacker_ip"),
Bounty.payload == data.get("payload"),
).limit(1)
)
if dup.first() is not None:
return
session.add(Bounty(**data))
await session.commit()
def _apply_bounty_filters(
self,
statement: SelectOfScalar,
bounty_type: Optional[str],
search: Optional[str],
) -> SelectOfScalar:
if bounty_type:
statement = statement.where(Bounty.bounty_type == bounty_type)
if search:
lk = f"%{search}%"
statement = statement.where(
or_(
Bounty.decky.like(lk),
Bounty.service.like(lk),
Bounty.attacker_ip.like(lk),
Bounty.payload.like(lk),
)
)
return statement
async def get_bounties(
self,
limit: int = 50,
offset: int = 0,
bounty_type: Optional[str] = None,
search: Optional[str] = None,
) -> List[dict]:
statement = (
select(Bounty)
.order_by(desc(Bounty.timestamp))
.offset(offset)
.limit(limit)
)
statement = self._apply_bounty_filters(statement, bounty_type, search)
async with self._session() as session:
results = await session.execute(statement)
final = []
for item in results.scalars().all():
d = item.model_dump(mode="json")
try:
d["payload"] = json.loads(d["payload"])
except (json.JSONDecodeError, TypeError):
pass
final.append(d)
return final
async def get_total_bounties(
self, bounty_type: Optional[str] = None, search: Optional[str] = None
) -> int:
statement = select(func.count()).select_from(Bounty)
statement = self._apply_bounty_filters(statement, bounty_type, search)
async with self._session() as session:
result = await session.execute(statement)
return result.scalar() or 0
async def get_all_bounties_by_ip(self) -> dict[str, List[dict[str, Any]]]:
async with self._session() as session:
result = await session.execute(
select(Bounty).order_by(asc(Bounty.timestamp))
)
grouped: dict[str, List[dict[str, Any]]] = defaultdict(list)
for item in result.scalars().all():
d = item.model_dump(mode="json")
try:
d["payload"] = json.loads(d["payload"])
except (json.JSONDecodeError, TypeError):
pass
grouped[item.attacker_ip].append(d)
return dict(grouped)
async def get_bounties_for_ips(self, ips: set[str]) -> dict[str, List[dict[str, Any]]]:
async with self._session() as session:
result = await session.execute(
select(Bounty).where(Bounty.attacker_ip.in_(ips)).order_by(asc(Bounty.timestamp))
)
grouped: dict[str, List[dict[str, Any]]] = defaultdict(list)
for item in result.scalars().all():
d = item.model_dump(mode="json")
try:
d["payload"] = json.loads(d["payload"])
except (json.JSONDecodeError, TypeError):
pass
grouped[item.attacker_ip].append(d)
return dict(grouped)