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add settings in UI

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This commit is contained in:
larssand
2026-06-21 21:30:59 +02:00
parent 5bb381a063
commit 5bd720f4d5
7 changed files with 159 additions and 14 deletions
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5
src/fgai/cli.py
View File

@@ -204,12 +204,13 @@ def run_monitor(args: argparse.Namespace) -> int:
llm_model=args.model,
llm_timeout=args.llm_timeout,
baseline_path=args.baseline_db,
config_path=args.config_file,
)
return 0
def run_dashboard(args: argparse.Namespace) -> int:
serve_dashboard(args.host, args.port, args.status_file, image_dir=args.image_dir)
serve_dashboard(args.host, args.port, args.status_file, image_dir=args.image_dir, config_file=args.config_file)
return 0
@@ -287,6 +288,7 @@ def build_parser() -> argparse.ArgumentParser:
monitor.add_argument("--interval", type=int, default=10, help="Seconds between analysis runs")
monitor.add_argument("--anomaly-limit", type=int, default=20, help="Maximum anomaly findings to include")
monitor.add_argument("--baseline-db", default="state/fgai-baseline.sqlite3", help="SQLite database for historical behavior baselines")
monitor.add_argument("--config-file", default="state/fgai-config.json", help="Runtime configuration written by dashboard")
monitor.add_argument("--llm", action="store_true", help="Generate cached Ollama analyst note for dashboard")
monitor.add_argument("--llm-interval", type=int, default=300, help="Seconds between Ollama dashboard assessments")
monitor.add_argument("--model", default=None, help="Ollama model name")
@@ -298,6 +300,7 @@ def build_parser() -> argparse.ArgumentParser:
dashboard.add_argument("--port", type=int, default=8088, help="Dashboard TCP port")
dashboard.add_argument("--status-file", default="state/fgai-status.json", help="Status JSON produced by monitor")
dashboard.add_argument("--image-dir", default="images", help="Directory containing dashboard images")
dashboard.add_argument("--config-file", default="state/fgai-config.json", help="Local runtime configuration JSON")
dashboard.set_defaults(func=run_dashboard)
return parser

54
src/fgai/config.py Normal file
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@@ -0,0 +1,54 @@
from __future__ import annotations
import json
import os
from pathlib import Path
DEFAULT_CONFIG: dict[str, object] = {
"log_source": "local_syslog",
"graylog_mcp_url": "",
"graylog_stream": "",
"llm_enabled": False,
"llm_model": "",
"threat_intel_enabled": False,
}
EDITABLE_FIELDS = set(DEFAULT_CONFIG) | {"graylog_mcp_token"}
class ConfigStore:
def __init__(self, path: str) -> None:
self.path = Path(path)
def read(self) -> dict[str, object]:
try:
stored = json.loads(self.path.read_text(encoding="utf-8"))
except (FileNotFoundError, json.JSONDecodeError, OSError):
stored = {}
return {**DEFAULT_CONFIG, **{key: value for key, value in stored.items() if key in EDITABLE_FIELDS}}
def public(self) -> dict[str, object]:
config = self.read()
config["graylog_mcp_token_configured"] = bool(config.pop("graylog_mcp_token", ""))
return config
def update(self, values: dict[str, object]) -> dict[str, object]:
current = self.read()
for key, value in values.items():
if key not in EDITABLE_FIELDS:
continue
if key == "graylog_mcp_token" and value == "":
continue
if key in {"llm_enabled", "threat_intel_enabled"}:
current[key] = bool(value)
elif key == "log_source" and value in {"local_syslog", "graylog_mcp"}:
current[key] = value
elif isinstance(value, str):
current[key] = value.strip()
self.path.parent.mkdir(parents=True, exist_ok=True)
temporary = self.path.with_suffix(".tmp")
temporary.write_text(json.dumps(current, indent=2, sort_keys=True), encoding="utf-8")
os.chmod(temporary, 0o600)
temporary.replace(self.path)
return self.public()

55
src/fgai/dashboard.py
View File

@@ -4,6 +4,8 @@ import json
from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
from pathlib import Path
from .config import ConfigStore
HTML = """<!doctype html>
<html lang="en">
@@ -56,10 +58,11 @@ HTML = """<!doctype html>
<section class="panel"><h2>Live Status</h2><div id="liveStatus" class="muted">Waiting for monitor data.</div></section>
</div>
</section>
<nav class="tabs" aria-label="Dashboard views"><button class="tab active" data-tab="overview">Overview</button><button class="tab" data-tab="findings">Findings</button><button class="tab" data-tab="diagnostics">Diagnostics</button></nav>
<nav class="tabs" aria-label="Dashboard views"><button class="tab active" data-tab="overview">Overview</button><button class="tab" data-tab="findings">Findings</button><button class="tab" data-tab="diagnostics">Diagnostics</button><button class="tab" data-tab="settings">Settings</button></nav>
<div data-view="overview" class="active"><section class="panel"><h2>AI Assessment</h2><div id="llmAssessment" class="muted">LLM assessment disabled.</div></section><section class="split"><div class="panel"><h2>Anomalies</h2><div id="anomalies"></div></div><div class="panel"><h2>Recommendations</h2><div id="recommendations"></div></div></section></div>
<div data-view="findings"><section class="split"><div class="panel"><h2>Block Candidates</h2><div id="blocks"></div></div><div class="panel"><h2>Threat Intelligence</h2><div id="reputation"></div></div></section><section class="panel"><h2>Policy Findings</h2><div id="policies"></div></section></div>
<div data-view="diagnostics"><section class="panel"><h2>Diagnostics</h2><div id="diagnostics"></div></section></div>
<div data-view="settings"><section class="panel"><h2>Runtime Configuration</h2><form id="settingsForm"><div class="grid"><label>Log source<br><select name="log_source"><option value="local_syslog">Local syslog</option><option value="graylog_mcp">Graylog MCP</option></select></label><label>Graylog MCP URL<br><input name="graylog_mcp_url" type="url" placeholder="https://graylog.example/api/mcp"></label><label>Graylog stream<br><input name="graylog_stream" placeholder="FortiGate stream ID or name"></label><label>Graylog MCP token<br><input name="graylog_mcp_token" type="password" placeholder="Leave blank to keep current token"></label><label>Ollama model<br><input name="llm_model" placeholder="llama3.1"></label><label><input name="llm_enabled" type="checkbox"> Enable Ollama analysis</label><label><input name="threat_intel_enabled" type="checkbox"> Enable threat intelligence</label></div><p><button type="submit">Save configuration</button> <span id="settingsResult" class="muted"></span></p></form></section></div>
</main>
<script>
function esc(value) {
@@ -82,6 +85,7 @@ async function refresh() {
const a = data.anomaly_summary || {};
const baseline = data.baseline || {};
const threat = (data.capabilities || {}).threat_intel || {};
const configuration = data.configuration || {};
document.getElementById('stamp').textContent = data.generated_at ? `Updated ${new Date(data.generated_at * 1000).toLocaleString()}` : 'Waiting for monitor data';
document.getElementById('metrics').innerHTML = [
metric('Total events', s.total || 0),
@@ -93,7 +97,8 @@ async function refresh() {
document.getElementById('capabilities').innerHTML = [
capability('Baseline', baseline.enabled ? 'on' : 'warn', baseline.enabled ? `${baseline.sources_ready || 0} sources ready` : 'disabled'),
capability('Ollama', llm.enabled && llm.status !== 'error' ? 'on' : 'warn', llm.enabled ? (llm.status || 'starting') : 'disabled'),
capability('Threat Intel', threat.enabled && threat.configured ? 'on' : 'warn', threat.enabled ? `${threat.provider || 'unknown'}${threat.configured ? '' : ', key missing'}` : 'disabled')
capability('Threat Intel', threat.enabled && threat.configured ? 'on' : 'warn', threat.enabled ? `${threat.provider || 'unknown'}${threat.configured ? '' : ', key missing'}` : 'disabled'),
capability('Log source', configuration.log_source === 'graylog_mcp' ? 'warn' : 'on', configuration.log_source === 'graylog_mcp' ? 'Graylog MCP configured, connector pending' : 'local syslog')
].join('');
document.getElementById('liveStatus').innerHTML = [
`Log file: <code>${esc(data.log_path || '')}</code>`,
@@ -155,11 +160,33 @@ async function refresh() {
'<h3>Top Services</h3>' + table(d.top_services || [], [{label:'Value', key:'value'}, {label:'Count', key:'count'}]) +
'<h3>Local-in Failures</h3>' + table(d.local_in_failures || [], [{label:'Source', key:'src_ip'}, {label:'Service', key:'service'}, {label:'Policy', key:'policy'}, {label:'Count', key:'count'}]);
}
async function loadSettings() {
const config = await (await fetch('/api/config', {cache: 'no-store'})).json();
const form = document.getElementById('settingsForm');
for (const [key, value] of Object.entries(config)) {
const field = form.elements.namedItem(key);
if (!field) continue;
if (field.type === 'checkbox') field.checked = Boolean(value); else field.value = value || '';
}
const token = form.elements.namedItem('graylog_mcp_token');
token.placeholder = config.graylog_mcp_token_configured ? 'Token configured; leave blank to keep it' : 'Paste a read-only token';
}
document.getElementById('settingsForm').addEventListener('submit', async event => {
event.preventDefault();
const form = event.currentTarget;
const values = Object.fromEntries(new FormData(form));
values.llm_enabled = form.elements.llm_enabled.checked;
values.threat_intel_enabled = form.elements.threat_intel_enabled.checked;
const response = await fetch('/api/config', {method:'POST', headers:{'Content-Type':'application/json'}, body:JSON.stringify(values)});
document.getElementById('settingsResult').textContent = response.ok ? 'Saved. Monitor applies supported settings on its next cycle.' : 'Could not save configuration.';
if (response.ok) loadSettings();
});
document.querySelectorAll('.tab').forEach(button => button.addEventListener('click', () => {
document.querySelectorAll('.tab').forEach(item => item.classList.toggle('active', item === button));
document.querySelectorAll('[data-view]').forEach(view => view.classList.toggle('active', view.dataset.view === button.dataset.tab));
}));
refresh();
loadSettings();
setInterval(refresh, 5000);
</script>
</body>
@@ -167,15 +194,19 @@ setInterval(refresh, 5000);
"""
def serve_dashboard(host: str, port: int, status_file: str, *, image_dir: str | None = None) -> None:
def serve_dashboard(host: str, port: int, status_file: str, *, image_dir: str | None = None, config_file: str = "state/fgai-config.json") -> None:
status_path = Path(status_file)
image_root = Path(image_dir) if image_dir else None
config_store = ConfigStore(config_file)
class Handler(BaseHTTPRequestHandler):
def do_GET(self) -> None:
if self.path == "/":
self._send(200, "text/html; charset=utf-8", HTML.encode("utf-8"))
return
if self.path == "/api/config":
self._send(200, "application/json", json.dumps(config_store.public()).encode("utf-8"))
return
if self.path == "/api/status":
if status_path.exists():
body = status_path.read_bytes()
@@ -191,6 +222,24 @@ def serve_dashboard(host: str, port: int, status_file: str, *, image_dir: str |
return
self._send(404, "text/plain; charset=utf-8", b"not found")
def do_POST(self) -> None:
if self.path != "/api/config" or not self._is_loopback_client():
self._send(403, "application/json", b'{"error":"configuration is local-only"}')
return
try:
length = int(self.headers.get("Content-Length", "0"))
payload = json.loads(self.rfile.read(min(length, 32_768)).decode("utf-8"))
if not isinstance(payload, dict):
raise ValueError("configuration must be an object")
body = json.dumps(config_store.update(payload)).encode("utf-8")
except (ValueError, json.JSONDecodeError) as exc:
self._send(400, "application/json", json.dumps({"error": str(exc)}).encode("utf-8"))
return
self._send(200, "application/json", body)
def _is_loopback_client(self) -> bool:
return self.client_address[0] in {"127.0.0.1", "::1"}
def log_message(self, format: str, *args: object) -> None:
return

25
src/fgai/monitor.py
View File

@@ -6,6 +6,7 @@ from pathlib import Path
from .anomaly import anomaly_summary, detect_source_anomalies
from .baseline import BaselineStore
from .config import ConfigStore
from .llm import ollama_dashboard_assessment
from .logs import local_in_failures, read_events, summarize_events, top_field_values
from .mitigation import parse_allowlist, suggest_block_candidates
@@ -22,12 +23,17 @@ def build_status(
min_block_score: int = 7,
anomaly_limit: int = 20,
baseline_path: str | None = None,
config_path: str | None = None,
) -> dict[str, object]:
events = read_events(log_path) if Path(log_path).exists() else []
baseline = BaselineStore(baseline_path) if baseline_path else None
profiles = baseline.profiles({event.src_ip for event in events if event.src_ip}) if baseline else {}
anomalies = detect_source_anomalies(events, limit=anomaly_limit, baselines=profiles)
baseline_events = baseline.ingest(events) if baseline else 0
config_store = ConfigStore(config_path) if config_path else None
config_exists = bool(config_store and config_store.path.exists())
runtime_values = config_store.read() if config_exists and config_store else {}
runtime_config = config_store.public() if config_store else {}
intel_ips = sorted(
{
ip
@@ -36,8 +42,9 @@ def build_status(
if is_public_ip(ip)
}
)
reputation = enrich_ips(intel_ips, limit=25)
threat_intel_status = ThreatIntelClient().status()
threat_enabled = bool(runtime_values.get("threat_intel_enabled")) if runtime_values else None
reputation = enrich_ips(intel_ips, limit=25, enabled=threat_enabled)
threat_intel_status = ThreatIntelClient(enabled=threat_enabled).status()
recommendations = build_recommendations(events, anomalies, reputation)
block_candidates = suggest_block_candidates(
events,
@@ -62,6 +69,7 @@ def build_status(
"anomaly_summary": anomaly_summary(anomalies),
"baseline": {"enabled": bool(baseline), "sources_ready": len(profiles), "new_events_recorded": baseline_events},
"capabilities": {"threat_intel": threat_intel_status},
"configuration": runtime_config,
"diagnostics": {
"top_source_ips": top_field_values(events, "srcip", limit=10),
"top_destination_ips": top_field_values(events, "dstip", limit=10),
@@ -145,17 +153,24 @@ def monitor_loop(
llm_model: str | None = None,
llm_timeout: int | None = None,
baseline_path: str | None = None,
config_path: str | None = None,
) -> None:
print(f"Monitoring {log_path}")
print(f"Writing status to {output}")
last_llm_at = 0
last_llm_text: str | None = None
while True:
status = build_status(log_path, policy_path=policy_path, anomaly_limit=anomaly_limit, baseline_path=baseline_path)
if llm:
runtime = ConfigStore(config_path).read() if config_path and Path(config_path).exists() else {}
effective_llm = bool(runtime.get("llm_enabled")) if runtime else llm
effective_model = str(runtime.get("llm_model") or llm_model or "")
status = build_status(
log_path, policy_path=policy_path, anomaly_limit=anomaly_limit,
baseline_path=baseline_path, config_path=config_path,
)
if effective_llm:
now = int(time.time())
if now - last_llm_at >= llm_interval:
add_llm_assessment(status, previous=last_llm_text, model=llm_model, timeout=llm_timeout)
add_llm_assessment(status, previous=last_llm_text, model=effective_model or None, timeout=llm_timeout)
assessment = status.get("llm_assessment", {})
if isinstance(assessment, dict):
last_llm_text = str(assessment.get("text", "") or last_llm_text or "")

10
src/fgai/threat_intel.py
View File

@@ -19,8 +19,8 @@ def is_public_ip(value: str | None) -> bool:
class ThreatIntelClient:
def __init__(self, *, cache_file: str = "state/threat-intel-cache.json", ttl_seconds: int = 86400) -> None:
self.enabled = os.getenv("FGAI_THREAT_INTEL", "").lower() in {"1", "true", "yes", "on"}
def __init__(self, *, cache_file: str = "state/threat-intel-cache.json", ttl_seconds: int = 86400, enabled: bool | None = None) -> None:
self.enabled = os.getenv("FGAI_THREAT_INTEL", "").lower() in {"1", "true", "yes", "on"} if enabled is None else enabled
self.abuseipdb_key = os.getenv("ABUSEIPDB_API_KEY")
self.virustotal_key = os.getenv("VIRUSTOTAL_API_KEY")
self.provider = os.getenv("FGAI_THREAT_INTEL_PROVIDER", "auto").lower()
@@ -144,8 +144,10 @@ class ThreatIntelClient:
}
def enrich_ips(ips: list[str], *, cache_file: str = "state/threat-intel-cache.json", limit: int = 25) -> dict[str, dict[str, object]]:
client = ThreatIntelClient(cache_file=cache_file)
def enrich_ips(
ips: list[str], *, cache_file: str = "state/threat-intel-cache.json", limit: int = 25, enabled: bool | None = None
) -> dict[str, dict[str, object]]:
client = ThreatIntelClient(cache_file=cache_file, enabled=enabled)
enriched: dict[str, dict[str, object]] = {}
for ip in ips[:limit]:
enriched[ip] = client.lookup_ip(ip)