a2e691da2b
* fix: support large proxy model endpoint refresh Large OpenAI-compatible proxy endpoints can expose hundreds of models and make /v1/models slow. Treating those endpoints like local model servers caused model picker opens and background probes to repeatedly hit /models, producing timeouts and making otherwise usable endpoints appear offline. Make model endpoint discovery cached-first for normal UI usage, add explicit proxy/API classification and refresh policy fields, exclude proxy/API endpoints from aggressive local probing, and preserve cached models when refresh fails. Manual Test/Add/Refresh actions still fetch the full model list with longer timeouts so users can intentionally import large proxy model lists without blocking normal model picker usage. * fix: preserve endpoint ping status semantics
1321 lines
47 KiB
Python
1321 lines
47 KiB
Python
"""Tests for model route helper functions — pure logic, no server needed."""
|
|
import asyncio
|
|
import json
|
|
import sys
|
|
import threading
|
|
import time
|
|
import types
|
|
from unittest.mock import MagicMock
|
|
from types import SimpleNamespace
|
|
|
|
import httpx
|
|
import pytest
|
|
|
|
_endpoint_resolver = sys.modules.get("src.endpoint_resolver")
|
|
if _endpoint_resolver is not None and not getattr(_endpoint_resolver, "__file__", None):
|
|
# Other tests stub this module during collection. These helper tests need
|
|
# the real URL normalization helpers so Anthropic /v1 handling is covered.
|
|
sys.modules.pop("src.endpoint_resolver", None)
|
|
sys.modules.pop("routes.model_routes", None)
|
|
|
|
if "core.database" not in sys.modules:
|
|
_core_db = types.ModuleType("core.database")
|
|
for _name in [
|
|
"SessionLocal", "ModelEndpoint", "Session", "ChatMessage", "Document",
|
|
"DocumentVersion", "GalleryImage", "GalleryAlbum", "Note",
|
|
"CalendarCal", "CalendarEvent", "ScheduledTask", "TaskRun",
|
|
"McpServer",
|
|
]:
|
|
setattr(_core_db, _name, MagicMock())
|
|
sys.modules["core.database"] = _core_db
|
|
|
|
import routes.model_routes as model_routes
|
|
import src.database as src_database
|
|
import src.endpoint_resolver as endpoint_resolver
|
|
import src.llm_core as llm_core
|
|
from routes.model_routes import (
|
|
_match_provider_curated,
|
|
_curate_models,
|
|
_visible_models,
|
|
_normalize_model_ids,
|
|
_is_chat_model,
|
|
_classify_endpoint,
|
|
_effective_endpoint_kind,
|
|
_probe_endpoint,
|
|
_ping_endpoint,
|
|
_parse_model_list,
|
|
_normalize_refresh_mode,
|
|
_truthy,
|
|
_speech_settings_using_endpoint,
|
|
_clear_speech_settings_for_endpoint,
|
|
_endpoint_settings_using_endpoint,
|
|
_clear_endpoint_settings_for_endpoint,
|
|
_clear_user_pref_endpoint_refs,
|
|
_PROVIDER_CURATED,
|
|
)
|
|
from src.llm_core import ANTHROPIC_MODELS
|
|
|
|
|
|
# ── speech endpoint settings ──
|
|
|
|
def test_speech_endpoint_dependents_include_stt():
|
|
settings = {"stt_provider": "endpoint:voice"}
|
|
assert _speech_settings_using_endpoint(settings, "voice") == ["Speech to Text"]
|
|
|
|
|
|
def test_clear_speech_endpoint_settings_resets_tts_and_stt():
|
|
settings = {
|
|
"tts_provider": "endpoint:voice",
|
|
"tts_model": "custom-tts",
|
|
"stt_provider": "endpoint:voice",
|
|
"stt_model": "custom-stt",
|
|
}
|
|
|
|
assert _clear_speech_settings_for_endpoint(settings, "voice") == [
|
|
"Text to Speech",
|
|
"Speech to Text",
|
|
]
|
|
assert settings == {
|
|
"tts_provider": "disabled",
|
|
"tts_model": "tts-1",
|
|
"stt_provider": "disabled",
|
|
"stt_model": "base",
|
|
}
|
|
|
|
|
|
def test_endpoint_cleanup_removes_primary_and_fallback_references():
|
|
settings = {
|
|
"default_endpoint_id": "dead",
|
|
"default_model": "primary",
|
|
"default_model_fallbacks": [
|
|
{"endpoint_id": "dead", "model": "fallback-a"},
|
|
{"endpoint_id": "keep", "model": "fallback-b"},
|
|
],
|
|
"utility_model_fallbacks": [{"endpoint_id": "dead", "model": "utility"}],
|
|
"vision_model_fallbacks": [{"endpoint_id": "dead", "model": "vision"}],
|
|
"stt_provider": "endpoint:dead",
|
|
"stt_model": "whisper",
|
|
}
|
|
|
|
assert _endpoint_settings_using_endpoint(settings, "dead", include_speech=True) == [
|
|
"Default Model",
|
|
"Default Model Fallbacks",
|
|
"Utility Model Fallbacks",
|
|
"Vision Model Fallbacks",
|
|
"Speech to Text",
|
|
]
|
|
assert _clear_endpoint_settings_for_endpoint(settings, "dead", include_speech=True) == [
|
|
"Default Model",
|
|
"Default Model Fallbacks",
|
|
"Utility Model Fallbacks",
|
|
"Vision Model Fallbacks",
|
|
"Speech to Text",
|
|
]
|
|
assert settings["default_endpoint_id"] == ""
|
|
assert settings["default_model"] == ""
|
|
assert settings["default_model_fallbacks"] == [
|
|
{"endpoint_id": "keep", "model": "fallback-b"},
|
|
]
|
|
assert settings["utility_model_fallbacks"] == []
|
|
assert settings["vision_model_fallbacks"] == []
|
|
assert settings["stt_provider"] == "disabled"
|
|
assert settings["stt_model"] == "base"
|
|
|
|
|
|
def test_endpoint_cleanup_updates_scoped_and_legacy_user_prefs():
|
|
scoped = {
|
|
"_users": {
|
|
"alice": {
|
|
"utility_endpoint_id": "dead",
|
|
"utility_model": "utility",
|
|
"vision_model_fallbacks": [{"endpoint_id": "dead", "model": "vision"}],
|
|
},
|
|
"bob": {
|
|
"default_endpoint_id": "keep",
|
|
"default_model": "chat",
|
|
},
|
|
},
|
|
}
|
|
assert _clear_user_pref_endpoint_refs(scoped, "dead") == 1
|
|
assert scoped["_users"]["alice"] == {
|
|
"utility_endpoint_id": "",
|
|
"utility_model": "",
|
|
"vision_model_fallbacks": [],
|
|
}
|
|
assert scoped["_users"]["bob"]["default_endpoint_id"] == "keep"
|
|
|
|
legacy = {
|
|
"default_model_fallbacks": [{"endpoint_id": "dead", "model": "chat"}],
|
|
}
|
|
assert _clear_user_pref_endpoint_refs(legacy, "dead") == 1
|
|
assert legacy["default_model_fallbacks"] == []
|
|
|
|
|
|
# ── _match_provider_curated ──
|
|
|
|
class TestMatchProviderCurated:
|
|
def test_url_match_overrides_provider(self):
|
|
assert _match_provider_curated("https://z.ai/v1", "openai") == "zai"
|
|
|
|
def test_deepseek_url(self):
|
|
assert _match_provider_curated("https://api.deepseek.com/v1", "openai") == "deepseek"
|
|
|
|
def test_groq_url(self):
|
|
assert _match_provider_curated("https://api.groq.com/openai/v1", "openai") == "groq"
|
|
|
|
def test_mistral_url(self):
|
|
assert _match_provider_curated("https://api.mistral.ai/v1", "openai") == "mistral"
|
|
|
|
def test_together_url(self):
|
|
assert _match_provider_curated("https://api.together.xyz/v1", "openai") == "together"
|
|
|
|
def test_fireworks_url(self):
|
|
assert _match_provider_curated("https://api.fireworks.ai/inference/v1", "openai") == "fireworks"
|
|
|
|
def test_google_url(self):
|
|
assert _match_provider_curated("https://generativelanguage.googleapis.com/v1beta", "openai") == "google"
|
|
|
|
def test_xai_url(self):
|
|
assert _match_provider_curated("https://api.x.ai/v1", "openai") == "xai"
|
|
|
|
def test_ollama_url(self):
|
|
assert _match_provider_curated("https://ollama.com/api", "openai") == "ollama"
|
|
|
|
def test_no_url_match_returns_provider(self):
|
|
assert _match_provider_curated("https://localhost:1234", "openai") == "openai"
|
|
|
|
def test_none_provider_passthrough(self):
|
|
assert _match_provider_curated("https://localhost:1234", None) is None
|
|
|
|
def test_none_url_safe(self):
|
|
assert _match_provider_curated(None, "openai") == "openai"
|
|
|
|
|
|
# ── _curate_models ──
|
|
|
|
class TestCurateModels:
|
|
def test_known_provider_partitions(self):
|
|
models = ["gpt-4o", "gpt-4o-mini", "ft:gpt-4o:custom", "some-random-model"]
|
|
curated, extra = _curate_models(models, "openai")
|
|
assert "gpt-4o" in curated
|
|
assert "gpt-4o-mini" in curated
|
|
assert "some-random-model" in extra
|
|
|
|
def test_unknown_provider_returns_all_as_curated(self):
|
|
models = ["model-a", "model-b"]
|
|
curated, extra = _curate_models(models, "unknown_provider")
|
|
assert curated == models
|
|
assert extra == []
|
|
|
|
def test_curated_sorted_by_priority(self):
|
|
models = ["gpt-4o-mini", "gpt-4o", "o3"]
|
|
curated, _ = _curate_models(models, "openai")
|
|
# gpt-4o should come before gpt-4o-mini in the curated list priority
|
|
gpt4o_idx = curated.index("gpt-4o")
|
|
gpt4o_mini_idx = curated.index("gpt-4o-mini")
|
|
assert gpt4o_idx < gpt4o_mini_idx
|
|
|
|
def test_empty_models(self):
|
|
curated, extra = _curate_models([], "openai")
|
|
assert curated == []
|
|
assert extra == []
|
|
|
|
def test_deepseek_curated(self):
|
|
models = ["deepseek-chat", "deepseek-reasoner", "deepseek-coder"]
|
|
curated, extra = _curate_models(models, "deepseek")
|
|
assert "deepseek-chat" in curated
|
|
assert "deepseek-reasoner" in curated
|
|
assert "deepseek-coder" in extra
|
|
|
|
def test_xai_curated(self):
|
|
models = ["grok-4", "grok-3-fast", "grok-2"]
|
|
curated, extra = _curate_models(models, "xai")
|
|
assert "grok-4" in curated
|
|
assert "grok-3-fast" in curated
|
|
assert "grok-2" in extra
|
|
|
|
def test_xai_current_grok_43_curated(self):
|
|
curated, extra = _curate_models(["grok-4.3", "grok-4.3-fast"], "xai")
|
|
assert curated == ["grok-4.3", "grok-4.3-fast"]
|
|
assert extra == []
|
|
|
|
def test_groq_current_models_curated(self):
|
|
models = [
|
|
"openai/gpt-oss-120b",
|
|
"groq/compound",
|
|
"llama-3.1-8b-instant",
|
|
"llama-4-scout-17b-16e-instruct",
|
|
]
|
|
curated, extra = _curate_models(models, "groq")
|
|
assert curated == models
|
|
assert extra == []
|
|
|
|
def test_google_current_gemini_curated(self):
|
|
curated, extra = _curate_models(["gemini-3.5-flash", "gemini-3.1-pro"], "google")
|
|
assert curated == ["gemini-3.5-flash", "gemini-3.1-pro"]
|
|
assert extra == []
|
|
|
|
|
|
# ── _is_chat_model ──
|
|
|
|
class TestIsChatModel:
|
|
@pytest.mark.parametrize("model_id", [
|
|
"gpt-4o", "gpt-4o-mini", "claude-sonnet-4", "llama-3.3-70b",
|
|
"deepseek-chat", "gemini-2.0-flash", "o3",
|
|
"llama-4-scout-17b-16e-instruct",
|
|
])
|
|
def test_chat_models(self, model_id):
|
|
assert _is_chat_model(model_id) is True
|
|
|
|
@pytest.mark.parametrize("model_id", [
|
|
"dall-e-3", "tts-1", "whisper-1", "text-embedding-3-small",
|
|
"gpt-image-1", "sora-1",
|
|
])
|
|
def test_non_chat_models(self, model_id):
|
|
assert _is_chat_model(model_id) is False
|
|
|
|
def test_realtime_excluded(self):
|
|
assert _is_chat_model("gpt-4o-realtime-preview") is False
|
|
|
|
def test_audio_preview_is_chat(self):
|
|
# gpt-4o-audio-preview is a chat model (has "audio" not "gpt-audio")
|
|
assert _is_chat_model("gpt-4o-audio-preview") is True
|
|
|
|
def test_gpt_audio_is_not_chat(self):
|
|
assert _is_chat_model("gpt-audio") is False
|
|
|
|
def test_legacy_openai_instruct_is_not_chat(self):
|
|
assert _is_chat_model("gpt-3.5-turbo-instruct") is False
|
|
|
|
|
|
# ── _classify_endpoint ──
|
|
|
|
class TestClassifyEndpoint:
|
|
def test_localhost(self):
|
|
assert _classify_endpoint("http://localhost:1234") == "local"
|
|
|
|
def test_127(self):
|
|
assert _classify_endpoint("http://127.0.0.1:8080/v1") == "local"
|
|
|
|
def test_private_192(self):
|
|
assert _classify_endpoint("http://192.168.1.100:5000") == "local"
|
|
|
|
def test_private_10(self):
|
|
assert _classify_endpoint("http://10.0.0.5:8000") == "local"
|
|
|
|
def test_public_api(self):
|
|
assert _classify_endpoint("https://api.openai.com/v1") == "api"
|
|
|
|
def test_empty_string(self):
|
|
assert _classify_endpoint("") == "api"
|
|
|
|
def test_malformed_url(self):
|
|
assert _classify_endpoint("not-a-url") == "api"
|
|
|
|
def test_tailscale_auto_is_local(self):
|
|
assert _classify_endpoint("http://100.117.136.97:34521/v1") == "local"
|
|
|
|
def test_tailscale_proxy_override_is_api(self):
|
|
assert _classify_endpoint("http://100.117.136.97:34521/v1", "proxy") == "api"
|
|
|
|
def test_tailscale_api_override_is_api(self):
|
|
assert _classify_endpoint("http://100.117.136.97:34521/v1", "api") == "api"
|
|
|
|
def test_public_local_override_is_local(self):
|
|
assert _classify_endpoint("https://api.openai.com/v1", "local") == "local"
|
|
|
|
def test_keyed_legacy_v1_endpoint_is_effective_proxy(self):
|
|
ep = SimpleNamespace(endpoint_kind="auto", api_key="fake-key")
|
|
assert _effective_endpoint_kind(ep, "http://100.117.136.97:34521/v1") == "proxy"
|
|
|
|
def test_proxy_refresh_mode_defaults_manual(self):
|
|
assert _normalize_refresh_mode("", "proxy") == "manual"
|
|
assert _normalize_refresh_mode("auto", "proxy") == "manual"
|
|
assert _normalize_refresh_mode("manual", "proxy") == "manual"
|
|
assert _normalize_refresh_mode("auto", "api") == "auto"
|
|
|
|
def test_parse_model_list_accepts_json_and_text(self):
|
|
assert _parse_model_list('["a", "b", "a"]') == ["a", "b"]
|
|
assert _parse_model_list("a, b\nc") == ["a", "b", "c"]
|
|
|
|
def test_ping_endpoint_does_not_request_models_for_openai_style_proxy(self, monkeypatch):
|
|
monkeypatch.setattr(endpoint_resolver, "resolve_url", lambda url: url, raising=False)
|
|
seen = []
|
|
|
|
def fake_head(*args, **kwargs):
|
|
raise AssertionError("generic proxy health check should not use HEAD")
|
|
|
|
def fake_get(url, headers=None, timeout=None):
|
|
seen.append(("GET", url))
|
|
request = httpx.Request("GET", url)
|
|
return httpx.Response(200, request=request)
|
|
|
|
monkeypatch.setattr(model_routes.httpx, "head", fake_head)
|
|
monkeypatch.setattr(model_routes.httpx, "get", fake_get)
|
|
|
|
result = _ping_endpoint("http://100.117.136.97:34521/v1", "fake-key", timeout=1)
|
|
|
|
assert result["reachable"] is True
|
|
assert result["status_code"] == 200
|
|
assert seen == [("GET", "http://100.117.136.97:34521/v1")]
|
|
assert all(not url.endswith("/models") for _, url in seen)
|
|
|
|
|
|
# ── setup probing ──
|
|
|
|
class TestSetupProbeSafety:
|
|
@pytest.mark.parametrize("value", ["true", "1", "yes", "on", " TRUE "])
|
|
def test_truthy_true_values(self, value):
|
|
assert _truthy(value) is True
|
|
|
|
@pytest.mark.parametrize("value", ["false", "0", "no", "", None])
|
|
def test_truthy_false_values(self, value):
|
|
assert _truthy(value) is False
|
|
|
|
def test_keyed_probe_does_not_fallback_to_curated_on_auth_failure(self, monkeypatch):
|
|
monkeypatch.setattr(endpoint_resolver, "resolve_url", lambda url: url, raising=False)
|
|
monkeypatch.setattr(model_routes, "_normalize_base", lambda url: url.rstrip("/"))
|
|
|
|
def fake_get(url, headers=None, timeout=None):
|
|
request = httpx.Request("GET", url)
|
|
response = httpx.Response(401, request=request)
|
|
raise httpx.HTTPStatusError("unauthorized", request=request, response=response)
|
|
|
|
monkeypatch.setattr(model_routes.httpx, "get", fake_get)
|
|
|
|
assert _probe_endpoint("https://api.groq.com/openai/v1", "bad-key") == []
|
|
|
|
def test_unkeyed_probe_can_still_use_curated_fallback(self, monkeypatch):
|
|
monkeypatch.setattr(endpoint_resolver, "resolve_url", lambda url: url, raising=False)
|
|
monkeypatch.setattr(model_routes, "_normalize_base", lambda url: url.rstrip("/"))
|
|
|
|
def fake_get(url, headers=None, timeout=None):
|
|
raise httpx.ConnectError("offline")
|
|
|
|
monkeypatch.setattr(model_routes.httpx, "get", fake_get)
|
|
|
|
assert _probe_endpoint("https://api.groq.com/openai/v1") == _PROVIDER_CURATED["groq"]
|
|
|
|
def test_keyed_anthropic_probe_does_not_fallback_on_failure(self, monkeypatch):
|
|
monkeypatch.setattr(endpoint_resolver, "resolve_url", lambda url: url, raising=False)
|
|
monkeypatch.setattr(model_routes, "_normalize_base", lambda url: url.rstrip("/"))
|
|
|
|
def fake_get(url, headers=None, timeout=None):
|
|
raise httpx.ConnectError("offline")
|
|
|
|
monkeypatch.setattr(model_routes.httpx, "get", fake_get)
|
|
|
|
assert _probe_endpoint("https://api.anthropic.com/v1", "bad-key") == []
|
|
|
|
def test_anthropic_probe_does_not_double_v1(self, monkeypatch):
|
|
monkeypatch.setattr(endpoint_resolver, "resolve_url", lambda url: url, raising=False)
|
|
monkeypatch.setattr(model_routes, "_normalize_base", lambda url: url.rstrip("/"))
|
|
seen = []
|
|
|
|
def fake_get(url, headers=None, timeout=None):
|
|
seen.append(url)
|
|
request = httpx.Request("GET", url)
|
|
response = httpx.Response(
|
|
200,
|
|
request=request,
|
|
json={"data": [{"id": "claude-sonnet-4-5"}]},
|
|
)
|
|
return response
|
|
|
|
monkeypatch.setattr(model_routes.httpx, "get", fake_get)
|
|
|
|
assert _probe_endpoint("https://api.anthropic.com/v1", "good-key") == ["claude-sonnet-4-5"]
|
|
assert seen == ["https://api.anthropic.com/v1/models"]
|
|
|
|
def test_ollama_cloud_probe_uses_native_tags_endpoint(self, monkeypatch):
|
|
monkeypatch.setattr(endpoint_resolver, "resolve_url", lambda url: url, raising=False)
|
|
monkeypatch.setattr(model_routes, "_normalize_base", lambda url: url.rstrip("/"))
|
|
seen = []
|
|
|
|
def fake_get(url, headers=None, timeout=None):
|
|
seen.append((url, headers))
|
|
request = httpx.Request("GET", url)
|
|
response = httpx.Response(
|
|
200,
|
|
request=request,
|
|
json={"models": [{"name": "gpt-oss:120b"}, {"model": "qwen3:235b"}]},
|
|
)
|
|
return response
|
|
|
|
monkeypatch.setattr(model_routes.httpx, "get", fake_get)
|
|
|
|
assert _probe_endpoint("https://ollama.com/api", "ollama-key") == ["gpt-oss:120b", "qwen3:235b"]
|
|
assert seen == [("https://ollama.com/api/tags", {"Authorization": "Bearer ollama-key"})]
|
|
|
|
def test_unkeyed_anthropic_probe_can_use_curated_fallback(self, monkeypatch):
|
|
monkeypatch.setattr(endpoint_resolver, "resolve_url", lambda url: url, raising=False)
|
|
monkeypatch.setattr(model_routes, "_normalize_base", lambda url: url.rstrip("/"))
|
|
|
|
def fake_get(url, headers=None, timeout=None):
|
|
raise httpx.ConnectError("offline")
|
|
|
|
monkeypatch.setattr(model_routes.httpx, "get", fake_get)
|
|
|
|
assert _probe_endpoint("https://api.anthropic.com/v1") == ANTHROPIC_MODELS
|
|
|
|
def test_ollama_endpoint_error_message_includes_troubleshooting():
|
|
msg = model_routes._model_endpoint_error_message(
|
|
"http://localhost:11434/v1",
|
|
{"error": "Connection refused"},
|
|
)
|
|
|
|
assert "No Ollama models found" in msg
|
|
assert "Connection refused" in msg
|
|
assert "http://localhost:11434/v1" in msg
|
|
assert "ollama list" in msg
|
|
|
|
|
|
def test_generic_endpoint_error_message_preserves_probe_error():
|
|
msg = model_routes._model_endpoint_error_message(
|
|
"https://api.example.com/v1",
|
|
{"error": "HTTP 401"},
|
|
)
|
|
|
|
assert msg == "No models found for that provider/key. Last probe error: HTTP 401."
|
|
|
|
|
|
# ── _rewrite_loopback_for_docker (issue #25: LM Studio on host loopback) ──
|
|
|
|
class TestDockerLoopbackRewrite:
|
|
def test_rewrites_loopback_when_in_docker(self, monkeypatch):
|
|
monkeypatch.setattr(model_routes, "_docker_host_gateway_reachable", lambda: True)
|
|
assert (model_routes._rewrite_loopback_for_docker("http://localhost:1234/v1")
|
|
== "http://host.docker.internal:1234/v1")
|
|
assert (model_routes._rewrite_loopback_for_docker("http://127.0.0.1:1234/v1")
|
|
== "http://host.docker.internal:1234/v1")
|
|
|
|
def test_no_rewrite_when_not_in_docker(self, monkeypatch):
|
|
monkeypatch.setattr(model_routes, "_docker_host_gateway_reachable", lambda: False)
|
|
assert (model_routes._rewrite_loopback_for_docker("http://localhost:1234/v1")
|
|
== "http://localhost:1234/v1")
|
|
|
|
def test_non_loopback_untouched_even_in_docker(self, monkeypatch):
|
|
# Cloud and LAN hosts must never be rewritten or they would break.
|
|
monkeypatch.setattr(model_routes, "_docker_host_gateway_reachable", lambda: True)
|
|
assert (model_routes._rewrite_loopback_for_docker("https://api.openai.com/v1")
|
|
== "https://api.openai.com/v1")
|
|
assert (model_routes._rewrite_loopback_for_docker("http://192.168.1.50:1234/v1")
|
|
== "http://192.168.1.50:1234/v1")
|
|
|
|
|
|
class TestDockerHostGatewayReachable:
|
|
def test_native_host_is_false_and_skips_dns(self, monkeypatch):
|
|
monkeypatch.setattr(model_routes.os.path, "exists", lambda p: False)
|
|
|
|
def _no_cgroup(*a, **k):
|
|
raise FileNotFoundError
|
|
|
|
monkeypatch.setattr("builtins.open", _no_cgroup)
|
|
|
|
def _must_not_run(*a, **k):
|
|
raise AssertionError("getaddrinfo must not run on native hosts")
|
|
|
|
monkeypatch.setattr(model_routes.socket, "getaddrinfo", _must_not_run)
|
|
assert model_routes._docker_host_gateway_reachable() is False
|
|
|
|
def test_container_with_host_gateway_is_true(self, monkeypatch):
|
|
monkeypatch.setattr(model_routes.os.path, "exists", lambda p: p == "/.dockerenv")
|
|
monkeypatch.setattr(model_routes.socket, "getaddrinfo", lambda *a, **k: [("ok",)])
|
|
assert model_routes._docker_host_gateway_reachable() is True
|
|
|
|
def test_container_without_host_gateway_is_false(self, monkeypatch):
|
|
monkeypatch.setattr(model_routes.os.path, "exists", lambda p: p == "/.dockerenv")
|
|
|
|
def _fail(*a, **k):
|
|
raise OSError("name or service not known")
|
|
|
|
monkeypatch.setattr(model_routes.socket, "getaddrinfo", _fail)
|
|
assert model_routes._docker_host_gateway_reachable() is False
|
|
|
|
|
|
# ── pinned model IDs: normalization helper ──
|
|
|
|
|
|
class TestNormalizeModelIds:
|
|
def test_list_passthrough_trims_and_dedupes(self):
|
|
assert _normalize_model_ids([" a ", "a", "b", ""]) == ["a", "b"]
|
|
|
|
def test_json_string_list(self):
|
|
assert _normalize_model_ids('["x", "y", "x"]') == ["x", "y"]
|
|
|
|
def test_comma_and_newline_string(self):
|
|
assert _normalize_model_ids("a, b\n c ,a") == ["a", "b", "c"]
|
|
|
|
def test_none_and_empty(self):
|
|
assert _normalize_model_ids(None) == []
|
|
assert _normalize_model_ids("") == []
|
|
assert _normalize_model_ids(" ") == []
|
|
|
|
def test_non_string_values_ignored(self):
|
|
assert _normalize_model_ids([1, "ok", None, {"a": 1}]) == ["ok"]
|
|
|
|
|
|
# ── pinned model IDs: _visible_models merge ──
|
|
|
|
|
|
class TestVisibleModelsPinned:
|
|
def test_includes_pinned_not_in_cached(self):
|
|
visible = _visible_models(["a"], None, ["deploy-1"])
|
|
assert visible == ["a", "deploy-1"]
|
|
|
|
def test_cached_plus_pinned_dedup_preserves_order(self):
|
|
visible = _visible_models(["a", "b"], None, ["b", "c"])
|
|
assert visible == ["a", "b", "c"]
|
|
|
|
def test_hidden_can_hide_a_pinned_model(self):
|
|
visible = _visible_models(["a"], ["deploy-1"], ["deploy-1"])
|
|
assert visible == ["a"]
|
|
|
|
def test_accepts_json_string_inputs(self):
|
|
visible = _visible_models('["a"]', '["a"]', '["b"]')
|
|
assert visible == ["b"]
|
|
|
|
|
|
# ── pinned model IDs: route behaviour ──
|
|
|
|
# Building the router exercises FastAPI's Form() routes, which require
|
|
# python-multipart. The test env ships without it, so register a minimal stub
|
|
# (mirrors tests/test_review_regressions.py) only when it's genuinely missing.
|
|
if "python_multipart" not in sys.modules:
|
|
try:
|
|
import python_multipart # noqa: F401
|
|
except ImportError:
|
|
_mp_stub = types.ModuleType("python_multipart")
|
|
_mp_stub.__version__ = "0.0.13"
|
|
sys.modules["python_multipart"] = _mp_stub
|
|
|
|
|
|
class _RouteCondition:
|
|
def __init__(self, op, field, value):
|
|
self.op = op
|
|
self.field = field
|
|
self.value = value
|
|
|
|
def __or__(self, other):
|
|
return ("or", self, other)
|
|
|
|
|
|
class _RouteColumn:
|
|
def __init__(self, name):
|
|
self.name = name
|
|
|
|
def __eq__(self, value):
|
|
return _RouteCondition("eq", self.name, value)
|
|
|
|
def is_(self, value):
|
|
return _RouteCondition("eq", self.name, value)
|
|
|
|
def desc(self):
|
|
return self
|
|
|
|
|
|
class _RouteModelEndpoint:
|
|
"""ModelEndpoint stand-in that stores constructor kwargs as attributes.
|
|
|
|
Class-level fake columns let it double as the query class in the dedupe
|
|
lookup; instance attributes (set in __init__) shadow them per-row.
|
|
"""
|
|
|
|
id = _RouteColumn("id")
|
|
base_url = _RouteColumn("base_url")
|
|
is_enabled = _RouteColumn("is_enabled")
|
|
owner = _RouteColumn("owner")
|
|
created_at = _RouteColumn("created_at")
|
|
|
|
def __init__(self, **kwargs):
|
|
for key, value in kwargs.items():
|
|
setattr(self, key, value)
|
|
|
|
|
|
_RecordingEndpoint = _RouteModelEndpoint
|
|
|
|
|
|
class _PinnedFakeRequest:
|
|
def __init__(self, body=None, headers=None):
|
|
self._body = body if body is not None else {}
|
|
self.headers = headers or {}
|
|
|
|
async def json(self):
|
|
return self._body
|
|
|
|
|
|
def _get_route(path, method):
|
|
from routes.model_routes import setup_model_routes
|
|
router = setup_model_routes(model_discovery=None)
|
|
for route in router.routes:
|
|
if getattr(route, "path", "") == path and method in getattr(route, "methods", set()):
|
|
return route.endpoint
|
|
raise AssertionError(f"{method} {path} not found")
|
|
|
|
|
|
def _make_endpoint(**kwargs):
|
|
base = dict(
|
|
id="ep1",
|
|
name="EP",
|
|
base_url="http://localhost:9999/v1",
|
|
api_key=None,
|
|
is_enabled=True,
|
|
hidden_models=None,
|
|
cached_models=None,
|
|
pinned_models=None,
|
|
model_type="llm",
|
|
supports_tools=None,
|
|
endpoint_kind="auto",
|
|
model_refresh_mode="auto",
|
|
model_refresh_interval=None,
|
|
model_refresh_timeout=None,
|
|
owner=None,
|
|
created_at=None,
|
|
updated_at=None,
|
|
)
|
|
base.update(kwargs)
|
|
return SimpleNamespace(**base)
|
|
|
|
|
|
def test_patch_models_saves_pinned_models(monkeypatch):
|
|
ep = _make_endpoint()
|
|
db = _PinnedFakeDb([ep])
|
|
monkeypatch.setattr(model_routes, "SessionLocal", lambda: db)
|
|
monkeypatch.setattr(model_routes, "require_admin", lambda request: None)
|
|
endpoint = _get_route("/api/model-endpoints/{ep_id}/models", "PATCH")
|
|
|
|
request = _PinnedFakeRequest(body={"pinned_models": ["deploy-1", "deploy-1", "deploy-2"]})
|
|
result = asyncio.run(endpoint("ep1", request))
|
|
|
|
assert json.loads(ep.pinned_models) == ["deploy-1", "deploy-2"]
|
|
assert result["pinned_count"] == 2
|
|
|
|
|
|
def test_patch_models_pinned_does_not_clobber_hidden(monkeypatch):
|
|
ep = _make_endpoint(hidden_models=json.dumps(["hide-me"]))
|
|
db = _PinnedFakeDb([ep])
|
|
monkeypatch.setattr(model_routes, "SessionLocal", lambda: db)
|
|
monkeypatch.setattr(model_routes, "require_admin", lambda request: None)
|
|
endpoint = _get_route("/api/model-endpoints/{ep_id}/models", "PATCH")
|
|
|
|
request = _PinnedFakeRequest(body={"pinned_models": ["deploy-1"]})
|
|
asyncio.run(endpoint("ep1", request))
|
|
|
|
assert json.loads(ep.hidden_models) == ["hide-me"]
|
|
assert json.loads(ep.pinned_models) == ["deploy-1"]
|
|
|
|
|
|
def test_get_models_returns_pinned_when_probe_empty(monkeypatch):
|
|
ep = _make_endpoint(pinned_models=json.dumps(["deploy-1"]))
|
|
db = _PinnedFakeDb([ep])
|
|
monkeypatch.setattr(model_routes, "SessionLocal", lambda: db)
|
|
monkeypatch.setattr(model_routes, "require_admin", lambda request: None)
|
|
monkeypatch.setattr(model_routes, "_probe_endpoint", lambda *a, **k: [])
|
|
endpoint = _get_route("/api/model-endpoints/{ep_id}/models", "GET")
|
|
|
|
result = endpoint("ep1", _PinnedFakeRequest(), SimpleNamespace(headers={}))
|
|
|
|
ids = [row["id"] for row in result]
|
|
assert ids == ["deploy-1"]
|
|
assert result[0]["is_pinned"] is True
|
|
|
|
|
|
def test_reprobe_preserves_pinned_models(monkeypatch):
|
|
ep = _make_endpoint(pinned_models=json.dumps(["deploy-1"]))
|
|
db = _PinnedFakeDb([ep])
|
|
monkeypatch.setattr(model_routes, "SessionLocal", lambda: db)
|
|
monkeypatch.setattr(model_routes, "require_admin", lambda request: None)
|
|
monkeypatch.setattr(model_routes, "_probe_endpoint", lambda *a, **k: ["m1"])
|
|
monkeypatch.setattr(model_routes, "_is_chat_model", lambda m: True)
|
|
monkeypatch.setattr(
|
|
model_routes, "_probe_single_model", lambda *a, **k: {"status": "ok"}
|
|
)
|
|
endpoint = _get_route("/api/model-endpoints/{ep_id}/probe", "GET")
|
|
|
|
response = endpoint("ep1", _PinnedFakeRequest())
|
|
|
|
async def _drain():
|
|
async for _ in response.body_iterator:
|
|
pass
|
|
|
|
asyncio.run(_drain())
|
|
|
|
# Probe rewrites cached/hidden but must never touch admin-pinned IDs.
|
|
assert json.loads(ep.pinned_models) == ["deploy-1"]
|
|
assert json.loads(ep.cached_models) == ["m1"]
|
|
|
|
|
|
def test_visible_models_handles_malformed_strings():
|
|
# Non-JSON cached/pinned strings are treated as comma/newline lists and
|
|
# never raise; a malformed hidden string is normalized too.
|
|
result = _visible_models("a,b", "b", "{bad json")
|
|
assert isinstance(result, list)
|
|
assert result == ["a", "{bad json"]
|
|
assert _visible_models("", None, "") == []
|
|
assert _visible_models("only-cached", None, None) == ["only-cached"]
|
|
|
|
|
|
def _create_form_kwargs(**overrides):
|
|
"""Defaults for every Form() param create_model_endpoint reads directly.
|
|
|
|
Calling the route as a plain function bypasses FastAPI form parsing, so the
|
|
Form() sentinels must be replaced with real strings.
|
|
"""
|
|
kwargs = dict(
|
|
name="",
|
|
api_key="",
|
|
skip_probe="true", # avoid any network probe in unit tests
|
|
require_models="false",
|
|
model_type="llm",
|
|
endpoint_kind="auto",
|
|
model_refresh_mode="",
|
|
model_refresh_interval="",
|
|
model_refresh_timeout="",
|
|
supports_tools="",
|
|
pinned_models="",
|
|
container_local="false",
|
|
shared="true",
|
|
)
|
|
kwargs.update(overrides)
|
|
return kwargs
|
|
|
|
|
|
def _patch_create_deps(monkeypatch, db):
|
|
import src.auth_helpers as auth_helpers
|
|
monkeypatch.setattr(model_routes, "SessionLocal", lambda: db)
|
|
monkeypatch.setattr(model_routes, "require_admin", lambda request: None)
|
|
monkeypatch.setattr(model_routes, "ModelEndpoint", _RecordingEndpoint)
|
|
monkeypatch.setattr(model_routes, "_normalize_base", lambda b: b)
|
|
monkeypatch.setattr(model_routes, "_rewrite_loopback_for_docker", lambda b, **k: b)
|
|
monkeypatch.setattr(model_routes, "_load_settings", lambda: {"default_endpoint_id": "exists"})
|
|
monkeypatch.setattr(endpoint_resolver, "resolve_url", lambda u: u)
|
|
monkeypatch.setattr(auth_helpers, "get_current_user", lambda req: None)
|
|
|
|
|
|
def test_post_creates_endpoint_with_pinned_models(monkeypatch):
|
|
db = _PinnedFakeDb([]) # no existing row → fresh create path
|
|
_patch_create_deps(monkeypatch, db)
|
|
create = _get_route("/api/model-endpoints", "POST")
|
|
|
|
result = create(
|
|
_PinnedFakeRequest(),
|
|
base_url="http://host:1234/v1",
|
|
**_create_form_kwargs(pinned_models="deploy-1, deploy-1\ndeploy-2"),
|
|
)
|
|
|
|
assert result["pinned_models"] == ["deploy-1", "deploy-2"]
|
|
assert result["models"] == ["deploy-1", "deploy-2"]
|
|
assert result["online"] is True
|
|
# Persisted onto the created row.
|
|
assert len(db.added) == 1
|
|
assert json.loads(db.added[0].pinned_models) == ["deploy-1", "deploy-2"]
|
|
|
|
|
|
def test_post_dedupe_existing_merges_and_returns_pinned(monkeypatch):
|
|
existing = _make_endpoint(
|
|
base_url="http://host:1234/v1",
|
|
cached_models=json.dumps(["m1"]),
|
|
hidden_models=None,
|
|
pinned_models=json.dumps(["old-pin"]),
|
|
)
|
|
db = _PinnedFakeDb([existing])
|
|
_patch_create_deps(monkeypatch, db)
|
|
create = _get_route("/api/model-endpoints", "POST")
|
|
|
|
result = create(
|
|
_PinnedFakeRequest(),
|
|
base_url="http://host:1234/v1",
|
|
**_create_form_kwargs(pinned_models="new-pin"),
|
|
)
|
|
|
|
assert result["existing"] is True
|
|
# Incoming pin merged onto the existing pins (no clobber, order preserved).
|
|
assert json.loads(existing.pinned_models) == ["old-pin", "new-pin"]
|
|
assert result["pinned_models"] == ["old-pin", "new-pin"]
|
|
# models = cached + pinned - hidden, visible merged list.
|
|
assert result["models"] == ["m1", "old-pin", "new-pin"]
|
|
# No new row created on the dedupe path.
|
|
assert db.added == []
|
|
|
|
|
|
def test_post_dedupe_existing_does_not_clobber_pinned_when_omitted(monkeypatch):
|
|
existing = _make_endpoint(
|
|
base_url="http://host:1234/v1",
|
|
cached_models=json.dumps(["m1"]),
|
|
pinned_models=json.dumps(["keep-me"]),
|
|
)
|
|
db = _PinnedFakeDb([existing])
|
|
_patch_create_deps(monkeypatch, db)
|
|
create = _get_route("/api/model-endpoints", "POST")
|
|
|
|
result = create(
|
|
_PinnedFakeRequest(),
|
|
base_url="http://host:1234/v1",
|
|
**_create_form_kwargs(), # pinned_models defaults to ""
|
|
)
|
|
|
|
assert json.loads(existing.pinned_models) == ["keep-me"]
|
|
assert result["pinned_models"] == ["keep-me"]
|
|
assert db.committed == 0 # nothing to persist
|
|
class _RouteQuery:
|
|
def __init__(self, rows):
|
|
self.rows = list(rows)
|
|
|
|
def filter(self, *conditions):
|
|
for condition in conditions:
|
|
if isinstance(condition, _RouteCondition) and condition.op == "eq":
|
|
self.rows = [row for row in self.rows if getattr(row, condition.field, None) == condition.value]
|
|
elif isinstance(condition, tuple) and condition and condition[0] == "or":
|
|
keep = []
|
|
for row in self.rows:
|
|
matched = False
|
|
for part in condition[1:]:
|
|
if isinstance(part, _RouteCondition) and part.op == "eq":
|
|
matched = matched or (getattr(row, part.field, None) == part.value)
|
|
if matched:
|
|
keep.append(row)
|
|
self.rows = keep
|
|
return self
|
|
|
|
def order_by(self, *args, **kwargs):
|
|
return self
|
|
|
|
def all(self):
|
|
return list(self.rows)
|
|
|
|
def first(self):
|
|
return self.rows[0] if self.rows else None
|
|
|
|
|
|
class _RouteDb:
|
|
def __init__(self, rows):
|
|
self.rows = rows
|
|
self.added = []
|
|
self.committed = 0
|
|
self.commits = 0
|
|
self.closed = False
|
|
|
|
def query(self, model):
|
|
return _RouteQuery(self.rows)
|
|
|
|
def commit(self):
|
|
self.committed += 1
|
|
self.commits += 1
|
|
|
|
def close(self):
|
|
self.closed = True
|
|
|
|
def add(self, row):
|
|
self.rows.append(row)
|
|
self.added.append(row)
|
|
|
|
|
|
_PinnedFakeDb = _RouteDb
|
|
|
|
|
|
class _ImmediateThread:
|
|
def __init__(self, target, daemon=None):
|
|
self.target = target
|
|
|
|
def start(self):
|
|
self.target()
|
|
|
|
|
|
def _wait_for(predicate, timeout=2.0):
|
|
deadline = time.time() + timeout
|
|
while time.time() < deadline:
|
|
if predicate():
|
|
return True
|
|
time.sleep(0.01)
|
|
return bool(predicate())
|
|
|
|
|
|
def _route_endpoint(router, path, method="GET"):
|
|
for route in router.routes:
|
|
if getattr(route, "path", "") == path and method in getattr(route, "methods", set()):
|
|
return route.endpoint
|
|
raise AssertionError(f"{method} {path} route not found")
|
|
|
|
|
|
def _route_ep(
|
|
id,
|
|
base_url,
|
|
*,
|
|
cached_models=None,
|
|
endpoint_kind="auto",
|
|
api_key=None,
|
|
name=None,
|
|
pinned_models=None,
|
|
refresh_mode="auto",
|
|
refresh_timeout=None,
|
|
):
|
|
return SimpleNamespace(
|
|
id=id,
|
|
name=name or id,
|
|
base_url=base_url,
|
|
api_key=api_key,
|
|
is_enabled=True,
|
|
cached_models=json.dumps(cached_models) if cached_models is not None else None,
|
|
hidden_models=None,
|
|
pinned_models=json.dumps(pinned_models) if pinned_models is not None else None,
|
|
model_type="llm",
|
|
endpoint_kind=endpoint_kind,
|
|
model_refresh_mode=refresh_mode,
|
|
model_refresh_interval=None,
|
|
model_refresh_timeout=refresh_timeout,
|
|
supports_tools=None,
|
|
owner=None,
|
|
created_at=None,
|
|
updated_at=None,
|
|
)
|
|
|
|
|
|
def _route_request():
|
|
return SimpleNamespace(
|
|
state=SimpleNamespace(current_user=None),
|
|
app=SimpleNamespace(state=SimpleNamespace(auth_manager=None)),
|
|
)
|
|
|
|
|
|
def test_api_models_returns_cached_proxy_models_without_refresh_probe(monkeypatch):
|
|
row = _route_ep(
|
|
"proxy",
|
|
"http://100.117.136.97:34521/v1",
|
|
cached_models=["cached-model"],
|
|
endpoint_kind="proxy",
|
|
api_key="fake-key",
|
|
refresh_mode="manual",
|
|
)
|
|
db = _RouteDb([row])
|
|
router = model_routes.setup_model_routes(model_discovery=None)
|
|
|
|
monkeypatch.setattr(model_routes, "ModelEndpoint", _RouteModelEndpoint)
|
|
monkeypatch.setattr(model_routes, "SessionLocal", lambda: db)
|
|
monkeypatch.setattr(model_routes, "_auth_disabled", lambda: True)
|
|
monkeypatch.setattr(model_routes, "build_chat_url", lambda base: f"{base}/chat/completions")
|
|
|
|
def fail_probe(*args, **kwargs):
|
|
raise AssertionError("/models probe should not run for cached manual proxy")
|
|
|
|
monkeypatch.setattr(model_routes, "_probe_endpoint", fail_probe)
|
|
monkeypatch.setattr(threading, "Thread", _ImmediateThread)
|
|
|
|
result = _route_endpoint(router, "/api/models")(_route_request())
|
|
|
|
assert result["items"][0]["models"] == ["cached-model"]
|
|
assert result["items"][0]["category"] == "api"
|
|
assert result["items"][0]["endpoint_kind"] == "proxy"
|
|
assert "offline" not in result["items"][0]
|
|
assert json.loads(row.cached_models) == ["cached-model"]
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_probe_local_skips_tailscale_proxy_endpoint(monkeypatch):
|
|
proxy = _route_ep(
|
|
"proxy",
|
|
"http://100.117.136.97:34521/v1",
|
|
cached_models=["cached-model"],
|
|
endpoint_kind="proxy",
|
|
api_key="fake-key",
|
|
)
|
|
local = _route_ep("local", "http://127.0.0.1:8000/v1", endpoint_kind="local")
|
|
db = _RouteDb([proxy, local])
|
|
router = model_routes.setup_model_routes(model_discovery=None)
|
|
|
|
monkeypatch.setattr(model_routes, "ModelEndpoint", _RouteModelEndpoint)
|
|
monkeypatch.setattr(model_routes, "SessionLocal", lambda: db)
|
|
monkeypatch.setattr(model_routes, "require_admin", lambda request: None)
|
|
monkeypatch.setattr(model_routes, "_probe_endpoint", lambda *a, **k: (_ for _ in ()).throw(AssertionError("full probe should not run")))
|
|
|
|
pinged = []
|
|
|
|
def fake_ping(base_url, api_key=None, timeout=1.5):
|
|
pinged.append(base_url)
|
|
return {"reachable": True, "status_code": 404, "error": "HTTP 404"}
|
|
|
|
monkeypatch.setattr(model_routes, "_ping_endpoint", fake_ping)
|
|
|
|
result = await _route_endpoint(router, "/api/model-endpoints/probe-local")(_route_request())
|
|
|
|
assert set(result) == {"local"}
|
|
assert pinged == ["http://127.0.0.1:8000/v1"]
|
|
|
|
|
|
def test_background_refresh_deduplicates_same_base_url(monkeypatch):
|
|
ep1 = _route_ep("a", "http://127.0.0.1:8000/v1", endpoint_kind="local")
|
|
ep2 = _route_ep("b", "http://127.0.0.1:8000/v1", endpoint_kind="local")
|
|
db = _RouteDb([ep1, ep2])
|
|
router = model_routes.setup_model_routes(model_discovery=None)
|
|
|
|
monkeypatch.setattr(model_routes, "ModelEndpoint", _RouteModelEndpoint)
|
|
monkeypatch.setattr(model_routes, "SessionLocal", lambda: db)
|
|
monkeypatch.setattr(model_routes, "_auth_disabled", lambda: True)
|
|
monkeypatch.setattr(model_routes, "build_chat_url", lambda base: f"{base}/chat/completions")
|
|
|
|
calls = []
|
|
probe_done = threading.Event()
|
|
|
|
def fake_probe(base_url, api_key=None, timeout=2):
|
|
calls.append(base_url)
|
|
probe_done.set()
|
|
return ["live-model"]
|
|
|
|
monkeypatch.setattr(model_routes, "_probe_endpoint", fake_probe)
|
|
|
|
_route_endpoint(router, "/api/models")(_route_request(), refresh=True)
|
|
|
|
assert probe_done.wait(2)
|
|
assert _wait_for(lambda: ep1.cached_models and ep2.cached_models)
|
|
assert calls == ["http://127.0.0.1:8000/v1"]
|
|
assert json.loads(ep1.cached_models) == ["live-model"]
|
|
assert json.loads(ep2.cached_models) == ["live-model"]
|
|
|
|
|
|
def test_background_refresh_failure_keeps_existing_cached_models(monkeypatch):
|
|
ep = _route_ep(
|
|
"local",
|
|
"http://127.0.0.1:8000/v1",
|
|
cached_models=["cached-model"],
|
|
endpoint_kind="local",
|
|
)
|
|
db = _RouteDb([ep])
|
|
router = model_routes.setup_model_routes(model_discovery=None)
|
|
|
|
monkeypatch.setattr(model_routes, "ModelEndpoint", _RouteModelEndpoint)
|
|
monkeypatch.setattr(model_routes, "SessionLocal", lambda: db)
|
|
monkeypatch.setattr(model_routes, "_auth_disabled", lambda: True)
|
|
monkeypatch.setattr(model_routes, "build_chat_url", lambda base: f"{base}/chat/completions")
|
|
probe_done = threading.Event()
|
|
|
|
def fake_probe(*args, **kwargs):
|
|
probe_done.set()
|
|
return []
|
|
|
|
monkeypatch.setattr(model_routes, "_probe_endpoint", fake_probe)
|
|
|
|
result = _route_endpoint(router, "/api/models")(_route_request(), refresh=True)
|
|
|
|
assert probe_done.wait(2)
|
|
assert _wait_for(lambda: db.commits > 0)
|
|
assert result["items"][0]["models"] == ["cached-model"]
|
|
assert json.loads(ep.cached_models) == ["cached-model"]
|
|
|
|
|
|
def test_llm_core_list_model_ids_uses_cached_configured_proxy(monkeypatch):
|
|
ep = _route_ep(
|
|
"proxy",
|
|
"http://100.117.136.97:34521/v1",
|
|
cached_models=["cached-model", "hidden-model"],
|
|
endpoint_kind="proxy",
|
|
)
|
|
ep.hidden_models = json.dumps(["hidden-model"])
|
|
db = _RouteDb([ep])
|
|
|
|
monkeypatch.setattr(src_database, "ModelEndpoint", _RouteModelEndpoint)
|
|
monkeypatch.setattr(src_database, "SessionLocal", lambda: db)
|
|
monkeypatch.setattr(llm_core.httpx, "get", lambda *a, **k: (_ for _ in ()).throw(AssertionError("/models should not be fetched")))
|
|
|
|
assert llm_core.list_model_ids("http://100.117.136.97:34521/v1/chat/completions", timeout=1) == ["cached-model"]
|
|
|
|
|
|
def test_explicit_proxy_test_fetches_models_with_long_timeout(monkeypatch):
|
|
router = model_routes.setup_model_routes(model_discovery=None)
|
|
|
|
monkeypatch.setattr(model_routes, "require_admin", lambda request: None)
|
|
monkeypatch.setattr(model_routes, "_ping_endpoint", lambda *a, **k: (_ for _ in ()).throw(AssertionError("ping should not run when model listing succeeds")))
|
|
|
|
calls = []
|
|
returned = ["NVIDIA NIM/openai/gpt-oss-120b", "mistral/mistral-small-2603"]
|
|
|
|
def fake_probe(base_url, api_key=None, timeout=2):
|
|
calls.append({"base_url": base_url, "api_key": api_key, "timeout": timeout})
|
|
return returned
|
|
|
|
monkeypatch.setattr(model_routes, "_probe_endpoint", fake_probe)
|
|
|
|
result = _route_endpoint(router, "/api/model-endpoints/test", "POST")(
|
|
_route_request(),
|
|
base_url="http://100.117.136.97:34521/v1",
|
|
api_key="fake-key",
|
|
endpoint_kind="proxy",
|
|
)
|
|
|
|
assert result["online"] is True
|
|
assert result["status"] == "online"
|
|
assert result["models"] == returned
|
|
assert calls == [{
|
|
"base_url": "http://100.117.136.97:34521/v1",
|
|
"api_key": "fake-key",
|
|
"timeout": 30.0,
|
|
}]
|
|
|
|
|
|
def test_explicit_proxy_add_fetches_and_caches_models_with_long_timeout(monkeypatch):
|
|
db = _RouteDb([])
|
|
router = model_routes.setup_model_routes(model_discovery=None)
|
|
|
|
monkeypatch.setattr(model_routes, "ModelEndpoint", _RouteModelEndpoint)
|
|
monkeypatch.setattr(model_routes, "SessionLocal", lambda: db)
|
|
monkeypatch.setattr(model_routes, "require_admin", lambda request: None)
|
|
monkeypatch.setattr(model_routes, "_load_settings", lambda: {})
|
|
monkeypatch.setattr(model_routes, "_save_settings", lambda settings: None)
|
|
monkeypatch.setattr("src.auth_helpers.get_current_user", lambda request: None)
|
|
monkeypatch.setattr(model_routes, "_ping_endpoint", lambda *a, **k: (_ for _ in ()).throw(AssertionError("ping should not run when model listing succeeds")))
|
|
|
|
calls = []
|
|
returned = ["NVIDIA NIM/openai/gpt-oss-120b", "mistral/mistral-small-2603"]
|
|
|
|
def fake_probe(base_url, api_key=None, timeout=2):
|
|
calls.append({"base_url": base_url, "api_key": api_key, "timeout": timeout})
|
|
return returned
|
|
|
|
monkeypatch.setattr(model_routes, "_probe_endpoint", fake_probe)
|
|
|
|
result = _route_endpoint(router, "/api/model-endpoints", "POST")(
|
|
_route_request(),
|
|
name="Bifrost",
|
|
base_url="http://100.117.136.97:34521/v1",
|
|
api_key="fake-key",
|
|
skip_probe="true",
|
|
require_models="false",
|
|
model_type="llm",
|
|
endpoint_kind="proxy",
|
|
model_refresh_mode="manual",
|
|
model_refresh_interval="",
|
|
model_refresh_timeout="",
|
|
supports_tools="",
|
|
container_local="false",
|
|
shared="true",
|
|
)
|
|
|
|
assert result["online"] is True
|
|
assert result["status"] == "online"
|
|
assert result["models"] == returned
|
|
assert calls == [{
|
|
"base_url": "http://100.117.136.97:34521/v1",
|
|
"api_key": "fake-key",
|
|
"timeout": 30.0,
|
|
}]
|
|
assert len(db.rows) == 1
|
|
assert json.loads(db.rows[0].cached_models) == returned
|
|
assert db.rows[0].endpoint_kind == "proxy"
|
|
assert db.rows[0].model_refresh_mode == "manual"
|
|
|
|
|
|
def test_manual_refresh_uses_long_timeout_and_saves_full_model_list(monkeypatch):
|
|
ep = _route_ep(
|
|
"proxy",
|
|
"http://100.117.136.97:34521/v1",
|
|
cached_models=["cached-model"],
|
|
endpoint_kind="proxy",
|
|
api_key="fake-key",
|
|
refresh_mode="manual",
|
|
)
|
|
db = _RouteDb([ep])
|
|
router = model_routes.setup_model_routes(model_discovery=None)
|
|
|
|
monkeypatch.setattr(model_routes, "ModelEndpoint", _RouteModelEndpoint)
|
|
monkeypatch.setattr(model_routes, "SessionLocal", lambda: db)
|
|
monkeypatch.setattr(model_routes, "require_admin", lambda request: None)
|
|
|
|
calls = []
|
|
refreshed = ["cached-model", "mistral/mistral-small-2603", "provider/nested/model/id"]
|
|
|
|
def fake_probe(base_url, api_key=None, timeout=2):
|
|
calls.append({"base_url": base_url, "api_key": api_key, "timeout": timeout})
|
|
return refreshed
|
|
|
|
monkeypatch.setattr(model_routes, "_probe_endpoint", fake_probe)
|
|
|
|
response = SimpleNamespace(headers={})
|
|
result = _route_endpoint(router, "/api/model-endpoints/{ep_id}/models")(
|
|
"proxy",
|
|
_route_request(),
|
|
response,
|
|
refresh=True,
|
|
refresh_timeout=60,
|
|
)
|
|
|
|
assert [m["id"] for m in result] == refreshed
|
|
assert calls == [{
|
|
"base_url": "http://100.117.136.97:34521/v1",
|
|
"api_key": "fake-key",
|
|
"timeout": 60.0,
|
|
}]
|
|
assert json.loads(ep.cached_models) == refreshed
|
|
assert db.commits == 1
|
|
assert response.headers["X-Model-Refresh-Status"] == "refreshed"
|
|
assert response.headers["X-Model-Refresh-Count"] == "3"
|
|
|
|
|
|
def test_manual_refresh_defaults_to_proxy_long_timeout(monkeypatch):
|
|
ep = _route_ep(
|
|
"proxy",
|
|
"https://proxy.example.test/v1",
|
|
cached_models=["cached-model"],
|
|
endpoint_kind="proxy",
|
|
refresh_mode="manual",
|
|
)
|
|
db = _RouteDb([ep])
|
|
router = model_routes.setup_model_routes(model_discovery=None)
|
|
|
|
monkeypatch.setattr(model_routes, "ModelEndpoint", _RouteModelEndpoint)
|
|
monkeypatch.setattr(model_routes, "SessionLocal", lambda: db)
|
|
monkeypatch.setattr(model_routes, "require_admin", lambda request: None)
|
|
|
|
timeouts = []
|
|
|
|
def fake_probe(base_url, api_key=None, timeout=2):
|
|
timeouts.append(timeout)
|
|
return ["cached-model", "new-model"]
|
|
|
|
monkeypatch.setattr(model_routes, "_probe_endpoint", fake_probe)
|
|
|
|
response = SimpleNamespace(headers={})
|
|
_route_endpoint(router, "/api/model-endpoints/{ep_id}/models")(
|
|
"proxy",
|
|
_route_request(),
|
|
response,
|
|
refresh=True,
|
|
)
|
|
|
|
assert timeouts == [30.0]
|
|
assert json.loads(ep.cached_models) == ["cached-model", "new-model"]
|
|
|
|
|
|
def test_manual_refresh_timeout_keeps_cached_models_and_warns(monkeypatch):
|
|
ep = _route_ep(
|
|
"proxy",
|
|
"http://100.117.136.97:34521/v1",
|
|
cached_models=["cached-model"],
|
|
endpoint_kind="proxy",
|
|
api_key="fake-key",
|
|
refresh_mode="manual",
|
|
)
|
|
db = _RouteDb([ep])
|
|
router = model_routes.setup_model_routes(model_discovery=None)
|
|
|
|
monkeypatch.setattr(model_routes, "ModelEndpoint", _RouteModelEndpoint)
|
|
monkeypatch.setattr(model_routes, "SessionLocal", lambda: db)
|
|
monkeypatch.setattr(model_routes, "require_admin", lambda request: None)
|
|
|
|
def fake_probe(base_url, api_key=None, timeout=2):
|
|
raise httpx.TimeoutException("timed out")
|
|
|
|
monkeypatch.setattr(model_routes, "_probe_endpoint", fake_probe)
|
|
|
|
response = SimpleNamespace(headers={})
|
|
result = _route_endpoint(router, "/api/model-endpoints/{ep_id}/models")(
|
|
"proxy",
|
|
_route_request(),
|
|
response,
|
|
refresh=True,
|
|
refresh_timeout=60,
|
|
)
|
|
|
|
assert [m["id"] for m in result] == ["cached-model"]
|
|
assert json.loads(ep.cached_models) == ["cached-model"]
|
|
assert db.commits == 0
|
|
assert response.headers["X-Model-Refresh-Status"] == "failed"
|
|
assert "kept cached models" in response.headers["X-Model-Refresh-Warning"]
|