Files
cluster-knaster/core/tests/test_artifacts.py
T

156 lines
6.9 KiB
Python

"""Strukturprüfungen der Deployment-Artefakte (ohne laufende Infrastruktur)."""
import json
import httpx
import pytest
import yaml
from knaster.healer.engine import HealerConfig
from knaster.settings import REPO_ROOT
DEPLOY = REPO_ROOT / "deploy"
def test_alert_names_match_healer_rules():
alerts = yaml.safe_load((DEPLOY / "prometheus/alerts.yml").read_text())
names = {r["alert"] for g in alerts["groups"] for r in g["rules"]}
rules = HealerConfig.from_file(REPO_ROOT / "config/healer-rules.yaml").rules
matched = {r.match["alertname"] for r in rules}
assert names == matched
def test_healer_labels_available_on_alerts():
"""Labels, die Healer-Regeln brauchen, müssen von Metrik oder Scrape-Target kommen."""
prom = yaml.safe_load((DEPLOY / "prometheus/prometheus.yml").read_text())
jobs = {j["job_name"]: j for j in prom["scrape_configs"]}
for job in ("node", "gpu", "vllm"):
for sc in jobs[job]["static_configs"]:
assert {"slot", "pve_node", "vmid"} <= set(sc["labels"]), (job, sc)
from knaster.canary import OPS_LABELS
assert set(OPS_LABELS) == {"docker_host", "container", "pve_node", "vmid"}
def test_alertmanager_targets_router_endpoint():
am = yaml.safe_load((DEPLOY / "alertmanager/alertmanager.yml").read_text())
url = am["receivers"][0]["webhook_configs"][0]["url"]
assert url.endswith("/v1/healer/alertmanager")
assert am["receivers"][0]["webhook_configs"][0]["send_resolved"] is True
@pytest.mark.parametrize("role", ["infra", "gpu-vllm", "gpu-llamacpp"])
def test_compose_files_parse(role):
data = yaml.safe_load((DEPLOY / f"compose/{role}/docker-compose.yml").read_text())
assert data["services"]
assert (DEPLOY / f"compose/{role}/.env.example").exists()
def test_ops_labels_consistent_between_registry_and_prometheus():
reg = yaml.safe_load((REPO_ROOT / "sites/knaster/registry.yaml").read_text())
prom = yaml.safe_load((DEPLOY / "prometheus/prometheus.yml").read_text())
vllm = {sc["labels"]["slot"]: sc["labels"] for sc in
next(j for j in prom["scrape_configs"] if j["job_name"] == "vllm")["static_configs"]}
for slot, labels in vllm.items():
ops = reg["slots"][slot]["ops"]
assert ops["vmid"] == labels["vmid"] and ops["container"] == labels["container"]
WORKFLOWS = sorted((REPO_ROOT / "n8n/workflows").glob("*.json"))
@pytest.mark.parametrize("path", WORKFLOWS, ids=[p.name for p in WORKFLOWS])
def test_n8n_workflow_structure(path):
wf = json.loads(path.read_text())
assert wf["active"] is False
names = [n["name"] for n in wf["nodes"]]
assert len(names) == len(set(names))
ids = [n["id"] for n in wf["nodes"]]
assert len(ids) == len(set(ids))
for src, outs in wf["connections"].items():
assert src in names
for branch in outs["main"]:
for target in branch:
assert target["node"] in names
# jeder Knoten außer dem Trigger ist erreichbar
targets = {t["node"] for o in wf["connections"].values() for b in o["main"] for t in b}
triggers = [n for n in wf["nodes"] if "trigger" in n["type"].lower() or n["type"].endswith(".webhook")]
assert len(triggers) == 1
assert set(names) - targets == {triggers[0]["name"]}
def test_n8n_router_paths_exist(make_system):
from knaster.api import create_app
paths = {r.path for r in create_app(make_system()).routes}
for path in WORKFLOWS:
for n in json.loads(path.read_text())["nodes"]:
url = n["parameters"].get("url", "")
if "router_url" in url:
assert url.split("}}")[-1] in paths
def test_webhook_notifier_sends_auth_header():
from knaster.healer.drivers import WebhookNotifier
seen = {}
def handler(request: httpx.Request) -> httpx.Response:
seen["auth"] = request.headers.get("authorization")
seen["body"] = json.loads(request.content)
return httpx.Response(200)
n = WebhookNotifier("http://n8n/webhook/knaster/notify", "Bearer t",
client=httpx.Client(transport=httpx.MockTransport(handler)))
n.notify("hallo", "high")
assert seen == {"auth": "Bearer t", "body": {"text": "hallo", "severity": "high", "data": {}}}
def test_drivers_build_correct_requests():
from knaster.healer.drivers import PortainerDriver, ProxmoxDriver
calls = []
def handler(request: httpx.Request) -> httpx.Response:
calls.append((request.method, request.url.path, dict(request.headers)))
if request.url.path == "/api/endpoints":
return httpx.Response(200, json=[{"Id": 3, "Name": "gpu-main"}])
return httpx.Response(200, json={"data": "UPID:1"})
client = httpx.Client(transport=httpx.MockTransport(handler))
PortainerDriver("https://portainer", "k", client=client).restart_container("gpu-main", "vllm")
assert calls[-1][:2] == ("POST", "/api/endpoints/3/docker/containers/vllm/restart")
assert calls[-1][2]["x-api-key"] == "k"
ProxmoxDriver("https://pve:8006", "knaster@pve!healer", "s", client=client).restart_vm("pve-ada", "201")
assert calls[-1][:2] == ("POST", "/api2/json/nodes/pve-ada/qemu/201/status/reboot")
assert calls[-1][2]["authorization"] == "PVEAPIToken=knaster@pve!healer=s"
def test_llm_and_embedding_clients():
from knaster.embeddings import LlamaCppReranker, OpenAIEmbedder
from knaster.llm import ContextOverflowError, EndpointError, OpenAIChatClient
def handler(request: httpx.Request) -> httpx.Response:
body = json.loads(request.content)
if request.url.path == "/v1/embeddings":
return httpx.Response(200, json={"data": [{"index": 1, "embedding": [0.0, 1.0]},
{"index": 0, "embedding": [1.0, 0.0]}]})
if request.url.path == "/v1/rerank":
return httpx.Response(200, json={"results": [{"index": 1, "relevance_score": 0.9},
{"index": 0, "relevance_score": 0.1}]})
if body["model"] == "overflow":
return httpx.Response(400, text="This model's maximum context length is 8192 tokens")
if body["model"] == "down":
return httpx.Response(503, text="unavailable")
return httpx.Response(200, json={"model": body["model"], "usage": {"total_tokens": 3},
"choices": [{"message": {"content": "hi"}, "finish_reason": "stop"}]})
client = httpx.Client(transport=httpx.MockTransport(handler))
assert OpenAIEmbedder("http://x", "e", client=client).embed(["a", "b"]) == [[1.0, 0.0], [0.0, 1.0]]
assert LlamaCppReranker("http://x", client=client).rerank("q", ["a", "b"]) == [0.1, 0.9]
chat = OpenAIChatClient("http://x", "k", client=client)
assert chat.chat("m", [{"role": "user", "content": "x"}]).content == "hi"
with pytest.raises(ContextOverflowError):
chat.chat("overflow", [])
with pytest.raises(EndpointError):
chat.chat("down", [])