"""Tests for endpoint_resolver — pure functions tested directly.""" import json import pytest from src.endpoint_resolver import ( _first_chat_model, _endpoint_hidden_models, _endpoint_enabled_models, normalize_base, build_chat_url, build_models_url, build_headers, ) class TestNormalizeBase: def test_strips_models(self): assert normalize_base("https://api.openai.com/v1/models") == "https://api.openai.com/v1" def test_strips_chat_completions(self): assert normalize_base("https://api.openai.com/v1/chat/completions") == "https://api.openai.com/v1" def test_strips_completions(self): assert normalize_base("https://api.openai.com/v1/completions") == "https://api.openai.com/v1" def test_strips_v1_messages(self): assert normalize_base("https://api.anthropic.com/v1/messages") == "https://api.anthropic.com" def test_strips_ollama_native_chat(self): assert normalize_base("https://ollama.com/api/chat") == "https://ollama.com/api" def test_trailing_slash(self): assert normalize_base("https://api.openai.com/v1/") == "https://api.openai.com/v1" def test_clean_url_unchanged(self): assert normalize_base("https://api.openai.com/v1") == "https://api.openai.com/v1" def test_empty_string(self): assert normalize_base("") == "" def test_none_safe(self): assert normalize_base(None) == "" class TestBuildChatUrl: def test_openai_style(self): assert build_chat_url("https://api.openai.com/v1") == "https://api.openai.com/v1/chat/completions" def test_pathless_openai_style_adds_v1(self): assert build_chat_url("https://api.openai.com") == "https://api.openai.com/v1/chat/completions" def test_anthropic_style(self): assert build_chat_url("https://api.anthropic.com") == "https://api.anthropic.com/v1/messages" def test_anthropic_v1_base_does_not_double_v1(self): assert build_chat_url("https://api.anthropic.com/v1") == "https://api.anthropic.com/v1/messages" def test_local_endpoint(self): assert build_chat_url("http://localhost:8000/v1") == "http://localhost:8000/v1/chat/completions" def test_ollama_cloud_native_api(self): assert build_chat_url("https://ollama.com/api") == "https://ollama.com/api/chat" def test_ollama_cloud_root_adds_api(self): assert build_chat_url("https://ollama.com") == "https://ollama.com/api/chat" def test_ollama_bare_url_adds_api(self): assert build_chat_url("http://nas:11434") == "http://nas:11434/api/chat" def test_ollama_v1_preserves_openai_compat(self): assert build_chat_url("http://nas:11434/v1") == "http://nas:11434/v1/chat/completions" @pytest.mark.parametrize("bad_base", [ "https://api.example.com/v1?token=abc", "https://api.example.com/v1#fragment", "http://localhost:1234?", ]) def test_rejects_query_or_fragment_base(self, bad_base): with pytest.raises(ValueError, match="query or fragment"): build_chat_url(bad_base) class TestBuildModelsUrl: def test_openai_models(self): assert build_models_url("https://api.openai.com/v1") == "https://api.openai.com/v1/models" def test_pathless_openai_models_adds_v1(self): assert build_models_url("https://api.openai.com") == "https://api.openai.com/v1/models" def test_ollama_tags(self): assert build_models_url("https://ollama.com/api") == "https://ollama.com/api/tags" @pytest.mark.parametrize("bad_base", [ "https://api.example.com/v1?token=abc", "https://api.example.com/v1#fragment", "http://localhost:1234?", ]) def test_rejects_query_or_fragment_base(self, bad_base): with pytest.raises(ValueError, match="query or fragment"): build_models_url(bad_base) class TestBuildHeaders: def test_no_key(self): assert build_headers(None, "https://api.openai.com/v1") == {} def test_openai_bearer(self): assert build_headers("sk-abc", "https://api.openai.com/v1") == {"Authorization": "Bearer sk-abc"} def test_anthropic_headers(self): assert build_headers("sk-ant-abc", "https://api.anthropic.com") == {"x-api-key": "sk-ant-abc", "anthropic-version": "2023-06-01"} def test_empty_key(self): assert build_headers("", "https://api.openai.com/v1") == {} class _Ep: """Minimal ModelEndpoint stand-in for the model-picking helpers.""" def __init__(self, cached=None, hidden=None): self.cached_models = json.dumps(cached) if cached is not None else None self.hidden_models = json.dumps(hidden) if hidden is not None else None class TestFirstChatModel: def test_skips_embedding_and_tts(self): models = ["text-embedding-ada-002", "whisper-large-v3", "gpt-4o"] assert _first_chat_model(models) == "gpt-4o" def test_falls_back_to_first_when_all_non_chat(self): assert _first_chat_model(["whisper-large-v3"]) == "whisper-large-v3" def test_empty(self): assert _first_chat_model([]) is None class TestEnabledModels: def test_excludes_hidden(self): # The Groq repro: 16 models, only gpt-oss-120b enabled. cached = [ "openai/gpt-oss-safeguard-20b", "canopylabs/orpheus-arabic-saudi", "whisper-large-v3", "openai/gpt-oss-120b", ] hidden = [ "openai/gpt-oss-safeguard-20b", "canopylabs/orpheus-arabic-saudi", "whisper-large-v3", ] ep = _Ep(cached=cached, hidden=hidden) assert _endpoint_enabled_models(ep) == ["openai/gpt-oss-120b"] def test_no_hidden_returns_all(self): ep = _Ep(cached=["a", "b"], hidden=None) assert _endpoint_enabled_models(ep) == ["a", "b"] def test_picker_never_selects_disabled_model(self): # Regression: a disabled model listed first must not be auto-picked. cached = ["canopylabs/orpheus-arabic-saudi", "openai/gpt-oss-120b"] hidden = ["canopylabs/orpheus-arabic-saudi"] ep = _Ep(cached=cached, hidden=hidden) assert _first_chat_model(_endpoint_enabled_models(ep)) == "openai/gpt-oss-120b" def test_stale_configured_model_is_discarded(self): # A configured model that's been disabled is dropped, falling through # to the first enabled chat model. ep = _Ep( cached=["canopylabs/orpheus-arabic-saudi", "openai/gpt-oss-120b"], hidden=["canopylabs/orpheus-arabic-saudi"], ) configured = "canopylabs/orpheus-arabic-saudi" if configured in _endpoint_hidden_models(ep): configured = "" if not configured: configured = _first_chat_model(_endpoint_enabled_models(ep)) assert configured == "openai/gpt-oss-120b"