Inventar mit pve44–pve61 und den Ada-Rechnern gode-pc-05/06 (M4000 weiter disabled). Registry-ops auf gpu-pve44/gpu-pve48/infra laut Placement, bei den Ada-Slots entfallen pve_node und vmid (Worker-Registry v2, Task 6.4). Tests: neuer test_site_knaster_matches_real_nodes, Konsistenztest auf gpus-Liste umgestellt. ADR-Nachträge zu D1 (Variante B), D2 (eine GPU-VM pro Knoten) und D3 (Ada bleibt Windows, vorgeschlagen). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
186 lines
8.6 KiB
Python
186 lines
8.6 KiB
Python
"""Strukturprüfungen der Deployment-Artefakte (ohne laufende Infrastruktur)."""
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import json
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import httpx
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import pytest
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import yaml
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from knaster.healer.engine import HealerConfig
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from knaster.settings import REPO_ROOT
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DEPLOY = REPO_ROOT / "deploy"
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def test_alert_names_match_healer_rules():
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alerts = yaml.safe_load((DEPLOY / "prometheus/alerts.yml").read_text())
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names = {r["alert"] for g in alerts["groups"] for r in g["rules"]}
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rules = HealerConfig.from_file(REPO_ROOT / "config/healer-rules.yaml").rules
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matched = {r.match["alertname"] for r in rules}
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assert names == matched
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def test_healer_labels_available_on_alerts():
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"""Labels, die Healer-Regeln brauchen, müssen von Metrik oder Scrape-Target kommen."""
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prom = yaml.safe_load((DEPLOY / "prometheus/prometheus.yml").read_text())
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jobs = {j["job_name"]: j for j in prom["scrape_configs"]}
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for job in ("node", "gpu", "vllm"):
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for sc in jobs[job]["static_configs"]:
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assert {"slot", "pve_node", "vmid"} <= set(sc["labels"]), (job, sc)
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from knaster.canary import OPS_LABELS
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assert set(OPS_LABELS) == {"docker_host", "container", "pve_node", "vmid"}
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def test_alertmanager_targets_router_endpoint():
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am = yaml.safe_load((DEPLOY / "alertmanager/alertmanager.yml").read_text())
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url = am["receivers"][0]["webhook_configs"][0]["url"]
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assert url.endswith("/v1/healer/alertmanager")
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assert am["receivers"][0]["webhook_configs"][0]["send_resolved"] is True
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@pytest.mark.parametrize("role", ["infra", "gpu-vllm", "gpu-llamacpp"])
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def test_compose_files_parse(role):
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data = yaml.safe_load((DEPLOY / f"compose/{role}/docker-compose.yml").read_text())
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assert data["services"]
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assert (DEPLOY / f"compose/{role}/.env.example").exists()
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def test_ops_labels_consistent_between_registry_and_prometheus():
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reg = yaml.safe_load((REPO_ROOT / "sites/knaster/registry.yaml").read_text())
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prom = yaml.safe_load((DEPLOY / "prometheus/prometheus.yml").read_text())
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vllm = {sc["labels"]["slot"]: sc["labels"] for sc in
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next(j for j in prom["scrape_configs"] if j["job_name"] == "vllm")["static_configs"]}
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for slot, labels in vllm.items():
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ops = reg["slots"][slot]["ops"]
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if "vmid" not in ops:
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continue # Ada-Slots ohne Proxmox-VM (D3); die Prometheus-Ziele folgen in Task 5.2
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assert ops["vmid"] == labels["vmid"] and ops["container"] == labels["container"]
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WORKFLOWS = sorted((REPO_ROOT / "n8n/workflows").glob("*.json"))
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@pytest.mark.parametrize("path", WORKFLOWS, ids=[p.name for p in WORKFLOWS])
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def test_n8n_workflow_structure(path):
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wf = json.loads(path.read_text())
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assert wf["active"] is False
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names = [n["name"] for n in wf["nodes"]]
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assert len(names) == len(set(names))
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ids = [n["id"] for n in wf["nodes"]]
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assert len(ids) == len(set(ids))
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for src, outs in wf["connections"].items():
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assert src in names
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for branch in outs["main"]:
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for target in branch:
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assert target["node"] in names
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# jeder Knoten außer dem Trigger ist erreichbar
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targets = {t["node"] for o in wf["connections"].values() for b in o["main"] for t in b}
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triggers = [n for n in wf["nodes"] if "trigger" in n["type"].lower() or n["type"].endswith(".webhook")]
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assert len(triggers) == 1
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assert set(names) - targets == {triggers[0]["name"]}
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def test_n8n_router_paths_exist(make_system):
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from knaster.api import create_app
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paths = {r.path for r in create_app(make_system()).routes}
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for path in WORKFLOWS:
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for n in json.loads(path.read_text())["nodes"]:
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url = n["parameters"].get("url", "")
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if "router_url" in url:
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assert url.split("}}")[-1] in paths
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def test_webhook_notifier_sends_auth_header():
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from knaster.healer.drivers import WebhookNotifier
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seen = {}
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def handler(request: httpx.Request) -> httpx.Response:
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seen["auth"] = request.headers.get("authorization")
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seen["body"] = json.loads(request.content)
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return httpx.Response(200)
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n = WebhookNotifier("http://n8n/webhook/knaster/notify", "Bearer t",
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client=httpx.Client(transport=httpx.MockTransport(handler)))
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n.notify("hallo", "high")
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assert seen == {"auth": "Bearer t", "body": {"text": "hallo", "severity": "high", "data": {}}}
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def test_drivers_build_correct_requests():
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from knaster.healer.drivers import PortainerDriver, ProxmoxDriver
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calls = []
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def handler(request: httpx.Request) -> httpx.Response:
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calls.append((request.method, request.url.path, dict(request.headers)))
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if request.url.path == "/api/endpoints":
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return httpx.Response(200, json=[{"Id": 3, "Name": "gpu-main"}])
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return httpx.Response(200, json={"data": "UPID:1"})
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client = httpx.Client(transport=httpx.MockTransport(handler))
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PortainerDriver("https://portainer", "k", client=client).restart_container("gpu-main", "vllm")
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assert calls[-1][:2] == ("POST", "/api/endpoints/3/docker/containers/vllm/restart")
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assert calls[-1][2]["x-api-key"] == "k"
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ProxmoxDriver("https://pve:8006", "knaster@pve!healer", "s", client=client).restart_vm("pve-ada", "201")
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assert calls[-1][:2] == ("POST", "/api2/json/nodes/pve-ada/qemu/201/status/reboot")
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assert calls[-1][2]["authorization"] == "PVEAPIToken=knaster@pve!healer=s"
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def test_llm_and_embedding_clients():
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from knaster.embeddings import LlamaCppReranker, OpenAIEmbedder
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from knaster.llm import ContextOverflowError, EndpointError, OpenAIChatClient
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def handler(request: httpx.Request) -> httpx.Response:
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body = json.loads(request.content)
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if request.url.path == "/v1/embeddings":
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return httpx.Response(200, json={"data": [{"index": 1, "embedding": [0.0, 1.0]},
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{"index": 0, "embedding": [1.0, 0.0]}]})
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if request.url.path == "/v1/rerank":
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return httpx.Response(200, json={"results": [{"index": 1, "relevance_score": 0.9},
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{"index": 0, "relevance_score": 0.1}]})
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if body["model"] == "overflow":
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return httpx.Response(400, text="This model's maximum context length is 8192 tokens")
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if body["model"] == "down":
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return httpx.Response(503, text="unavailable")
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return httpx.Response(200, json={"model": body["model"], "usage": {"total_tokens": 3},
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"choices": [{"message": {"content": "hi"}, "finish_reason": "stop"}]})
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client = httpx.Client(transport=httpx.MockTransport(handler))
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assert OpenAIEmbedder("http://x", "e", client=client).embed(["a", "b"]) == [[1.0, 0.0], [0.0, 1.0]]
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assert LlamaCppReranker("http://x", client=client).rerank("q", ["a", "b"]) == [0.1, 0.9]
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chat = OpenAIChatClient("http://x", "k", client=client)
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assert chat.chat("m", [{"role": "user", "content": "x"}]).content == "hi"
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with pytest.raises(ContextOverflowError):
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chat.chat("overflow", [])
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with pytest.raises(EndpointError):
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chat.chat("down", [])
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def test_proxmox_site_consistent_with_registry_and_prometheus():
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site = yaml.safe_load((REPO_ROOT / "sites/knaster/proxmox.yaml").read_text())
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reg = yaml.safe_load((REPO_ROOT / "sites/knaster/registry.yaml").read_text())
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vms = site["vms"]
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for vm in vms.values():
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assert vm["gpus"], vm # eine GPU-VM pro Knoten mit allen Karten des Knotens (D2)
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for gpu in vm["gpus"]:
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assert gpu in site["pci_mappings"]
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assert site["pci_mappings"][gpu]["node"] == vm["node"] # Mapping liegt auf dem Host der VM
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assert vm["driver_generation"] in {"legacy", "modern"}
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gpus = [gpu for vm in vms.values() for gpu in vm["gpus"]]
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assert len(gpus) == len(set(gpus)) # keine GPU doppelt durchgereicht
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assert set(gpus) == set(site["pci_mappings"]) # jede gemappte Karte steckt in einer VM
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by_vmid = {str(vm["vmid"]): (name, vm) for name, vm in {**vms, **site["containers"]}.items()}
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for slot, spec in reg["slots"].items():
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ops = spec.get("ops")
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if not ops or "vmid" not in ops:
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continue # Ada-Slots ohne Proxmox-VM (D3, Worker-Registry v2)
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name, vm = by_vmid[ops["vmid"]]
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assert vm["node"] == ops["pve_node"], slot
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assert ops["docker_host"] == name, slot
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# vLLM und PyTorch nur auf modernen Karten (ADR-0006)
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if spec["engine"] in {"vllm", "pytorch"} and name in vms:
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assert vm["driver_generation"] == "modern", slot
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vmids = [str(v["vmid"]) for v in vms.values()] + [str(c["vmid"]) for c in site["containers"].values()]
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assert len(vmids) == len(set(vmids))
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