Files
gpu-rent/tests/test_verify_stack.py
T
Leonid Pershin 5832c5cf75 Enhance Ollama model management and performance tuning
- Updated the `provision_llm` function to utilize the `/api/tags` endpoint for verifying available models, improving accuracy in model management.
- Introduced a new `already_have_ollama_tag` function to ensure exact tag matching, preventing mismatches during model checks.
- Enhanced the `pull_stream` function to require a successful status from the API before proceeding, ensuring reliable model downloads.
- Added logic to handle unwritten blob files, improving the robustness of the model pulling process.
- Updated documentation and tests to reflect these changes, ensuring clarity and reliability in Ollama model operations.
2026-08-21 14:20:06 +03:00

247 lines
7.6 KiB
Python

from gpu_rent.errors import CloudError
from gpu_rent.ready import ServiceCheck, _expected_services, verify_gpu_env, verify_stack_local
class _Cfg:
enable_swarmui = True
llm_runtime = "none"
swarmui_local_port = 17801
ollama_local_port = 17811
def test_expected_services_swarm_only():
assert _expected_services(_Cfg()) == (True, False)
def test_expected_services_llm_only():
class C:
enable_swarmui = False
llm_runtime = "ollama"
assert _expected_services(C()) == (False, True)
def test_verify_stack_local_empty_when_nothing():
class C:
enable_swarmui = False
llm_runtime = "none"
swarmui_local_port = 17801
ollama_local_port = 17811
logs: list[str] = []
assert verify_stack_local(C(), logs.append, timeout=0.1) == []
def test_verify_stack_local_fails_closed_port(monkeypatch):
class C:
enable_swarmui = False
llm_runtime = "ollama"
swarmui_local_port = 17801
ollama_local_port = 17999
monkeypatch.setattr(
"gpu_rent.ready._tcp_ok", lambda port, host="127.0.0.1", timeout=0.8: False
)
logs: list[str] = []
try:
verify_stack_local(C(), logs.append, timeout=0.3, poll_every=0.1)
assert False, "expected CloudError"
except Exception as exc:
assert "ollama" in str(exc).lower() or "не отвечает" in str(exc)
def test_service_check_dataclass():
c = ServiceCheck("x", True, "ok", "vm")
assert c.ok and c.where == "vm"
def test_verify_gpu_env_ok(monkeypatch):
import json
import gpu_rent.ssh_ops as ssh_ops
payload = {
"ok": True,
"checks": [
{"name": "nvidia-smi", "required": True, "ok": True, "detail": "A100"},
{"name": "cuda", "required": True, "ok": True, "detail": "libcuda"},
{
"name": "torch",
"required": True,
"ok": True,
"detail": "torch=2.0 cuda=12 available=True",
},
{
"name": "triton/sage",
"required": False,
"ok": True,
"detail": "есть: triton; нет: —",
},
],
}
def fake_run_python(cfg, host, script, **kw):
assert "from __future__" in script
assert not script.lstrip().startswith("import os")
assert (kw.get("env") or {}).get("GPU_RENT_CHECK_SWARM") == "1"
return json.dumps(payload) + "\n"
monkeypatch.setattr(ssh_ops, "run_python", fake_run_python)
logs: list[str] = []
out = verify_gpu_env(_Cfg(), "1.2.3.4", logs.append, timeout=5.0, poll_every=0.1)
assert all(c.ok for c in out)
assert any(c.name == "torch" for c in out)
assert any("GPU-стека" in line for line in logs)
def test_verify_gpu_env_fail_fast_cuda(monkeypatch):
import json
import gpu_rent.ssh_ops as ssh_ops
payload = {
"ok": False,
"checks": [
{"name": "nvidia-smi", "required": True, "ok": True, "detail": "ok"},
{"name": "cuda", "required": True, "ok": False, "detail": "нет libcuda"},
{"name": "torch", "required": True, "ok": False, "detail": "no venv"},
],
}
calls = {"n": 0}
def fake(*a, **k):
calls["n"] += 1
return json.dumps(payload)
monkeypatch.setattr(ssh_ops, "run_python", fake)
logs: list[str] = []
try:
verify_gpu_env(_Cfg(), "1.2.3.4", logs.append, timeout=600.0, poll_every=0.1)
assert False, "expected CloudError"
except CloudError as exc:
assert "fail-fast" in str(exc).lower() or "cuda" in str(exc).lower()
assert calls["n"] == 1
def test_verify_gpu_env_fails_without_cuda(monkeypatch):
import json
import gpu_rent.ssh_ops as ssh_ops
payload = {
"ok": False,
"checks": [
{"name": "nvidia-smi", "required": True, "ok": True, "detail": "ok"},
{"name": "cuda", "required": True, "ok": False, "detail": "нет libcuda"},
{"name": "torch", "required": True, "ok": False, "detail": "no venv"},
],
}
monkeypatch.setattr(
ssh_ops,
"run_python",
lambda *a, **k: json.dumps(payload),
)
logs: list[str] = []
try:
verify_gpu_env(_Cfg(), "1.2.3.4", logs.append, timeout=0.4, poll_every=0.1)
assert False, "expected CloudError"
except CloudError as exc:
assert "GPU-стек" in str(exc) or "cuda" in str(exc).lower()
def test_verify_gpu_env_llm_only_skips_torch_requirement(monkeypatch):
import json
import gpu_rent.ssh_ops as ssh_ops
class C:
enable_swarmui = False
llm_runtime = "ollama"
payload = {
"ok": True,
"checks": [
{"name": "nvidia-smi", "required": True, "ok": True, "detail": "ok"},
{"name": "cuda", "required": True, "ok": True, "detail": "ok"},
{
"name": "torch",
"required": False,
"ok": True,
"detail": "skip (llm-only, без Comfy venv)",
},
],
}
def fake_run_python(cfg, host, script, **kw):
assert "from __future__" in script
assert (kw.get("env") or {}).get("GPU_RENT_CHECK_SWARM") == "0"
return json.dumps(payload)
monkeypatch.setattr(ssh_ops, "run_python", fake_run_python)
logs: list[str] = []
out = verify_gpu_env(C(), "1.2.3.4", logs.append, timeout=5.0)
assert all(c.ok for c in out)
def test_stack_probe_requires_ollama_models():
from gpu_rent.ready import _REMOTE_STACK_PROBE
assert "/api/tags" in _REMOTE_STACK_PROBE
assert "0 models" in _REMOTE_STACK_PROBE
assert "WANT_OLLAMA_MODELS" in _REMOTE_STACK_PROBE
assert "retry" in _REMOTE_STACK_PROBE
assert ".gpu-rent-ollama-pulling" in _REMOTE_STACK_PROBE
assert "WARN 0 models" in _REMOTE_STACK_PROBE
assert "GPU не гасим" in _REMOTE_STACK_PROBE
def test_verify_stack_zero_models_does_not_fail_up(monkeypatch):
from gpu_rent.ready import ServiceCheck, verify_stack_on_vm
class C:
enable_swarmui = True
llm_runtime = "ollama"
def fake_probe(_cfg, _host):
return [
ServiceCheck("swarmui", True, "ok", "vm", retry=False),
ServiceCheck(
"ollama",
True,
"WARN 0 models — Assistent empty (GPU не гасим)",
"vm",
retry=False,
),
]
monkeypatch.setattr("gpu_rent.ready._probe_vm_once", fake_probe)
out = verify_stack_on_vm(C(), "1.2.3.4", [].append, timeout=5.0, poll_every=0.01)
assert all(c.ok for c in out)
def test_verify_stack_retries_while_pulling(monkeypatch):
from gpu_rent.ready import ServiceCheck, verify_stack_on_vm
class C:
enable_swarmui = False
llm_runtime = "ollama"
n = {"i": 0}
def fake_probe(_cfg, _host):
n["i"] += 1
if n["i"] == 1:
return [
ServiceCheck(
"ollama", False, "0 models — pull идёт (12s)", "vm", retry=True
)
]
return [ServiceCheck("ollama", True, "1 models (qwen)", "vm", retry=False)]
monkeypatch.setattr("gpu_rent.ready._probe_vm_once", fake_probe)
out = verify_stack_on_vm(
C(), "1.2.3.4", [].append, timeout=5.0, poll_every=0.01
)
assert out[0].ok
assert n["i"] == 2