deploy: Dockerfile, Compose pro Rolle, LiteLLM, Prometheus/Alertmanager, Canary-Prober, n8n-Workflows

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-12 00:51:31 +02:00
parent 4cbe313c62
commit cb5a413169
28 changed files with 1731 additions and 9 deletions
@@ -0,0 +1,155 @@
+"""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", [])
@@ -88,3 +88,26 @@ def test_cli(capsys):
                 "--catalog", str(REPO_ROOT / "catalog")]) == 0
    out = capsys.readouterr().out
    assert "gpu-main" in out
+
+
+def test_canary_prober(registry, fake_chat):
+    from prometheus_client import CollectorRegistry, generate_latest
+
+    from knaster.canary import CanaryProber
+    from knaster.embeddings import HashingEmbedder
+    from knaster.llm import EndpointError
+
+    def down(m):
+        raise EndpointError("weg")
+
+    fake_chat.handlers.update({"tier1-general": lambda m: "OK", "tier1-flex": down,
+                               "verifier-small": lambda m: "Hallo"})
+    reg = CollectorRegistry()
+    prober = CanaryProber(registry, fake_chat, {"embed-default": HashingEmbedder()}, metrics_registry=reg)
+    results = {r.slot: r for r in prober.run_once()}
+    assert "tier0-strong" not in results
+    assert results["tier1-general"].ok and not results["tier1-flex"].up
+    assert results["verifier-small"].up and not results["verifier-small"].ok
+    assert results["embed-default"].ok
+    text = generate_latest(reg).decode()
+    assert 'knaster_slot_endpoint_up{container="",docker_host="",node="gpu-flex"' in text