mirror of
https://github.com/NousResearch/hermes-agent.git
synced 2026-05-04 02:21:47 +00:00
4b16341975
Rewrite all import statements, patch() targets, sys.modules keys, importlib.import_module() strings, and subprocess -m references to use hermes_agent.* paths. Strip sys.path.insert hacks from production code (rely on editable install). Update COMPONENT_PREFIXES for logger filtering. Fix 3 hardcoded getLogger() calls to use __name__. Update transport and tool registry discovery paths. Update plugin module path strings. Add legacy process-name patterns for gateway PID detection. Add main() to skills_sync for console_script entry point. Fix _get_bundled_dir() path traversal after move. Part of #14182, #14183
243 lines
9.2 KiB
Python
243 lines
9.2 KiB
Python
"""Tests for the bundled OpenAI image_gen plugin (gpt-image-2, three tiers)."""
|
||
|
||
from __future__ import annotations
|
||
|
||
from pathlib import Path
|
||
from types import SimpleNamespace
|
||
from unittest.mock import MagicMock, patch
|
||
|
||
import pytest
|
||
|
||
import hermes_agent.plugins.image_gen.openai as openai_plugin
|
||
|
||
|
||
# 1×1 transparent PNG — valid bytes for save_b64_image()
|
||
_PNG_HEX = (
|
||
"89504e470d0a1a0a0000000d49484452000000010000000108060000001f15c4"
|
||
"890000000d49444154789c6300010000000500010d0a2db40000000049454e44"
|
||
"ae426082"
|
||
)
|
||
|
||
|
||
def _b64_png() -> str:
|
||
import base64
|
||
return base64.b64encode(bytes.fromhex(_PNG_HEX)).decode()
|
||
|
||
|
||
def _fake_response(*, b64=None, url=None, revised_prompt=None):
|
||
item = SimpleNamespace(b64_json=b64, url=url, revised_prompt=revised_prompt)
|
||
return SimpleNamespace(data=[item])
|
||
|
||
|
||
@pytest.fixture(autouse=True)
|
||
def _tmp_hermes_home(tmp_path, monkeypatch):
|
||
monkeypatch.setenv("HERMES_HOME", str(tmp_path))
|
||
yield tmp_path
|
||
|
||
|
||
@pytest.fixture
|
||
def provider(monkeypatch):
|
||
monkeypatch.setenv("OPENAI_API_KEY", "test-key")
|
||
return openai_plugin.OpenAIImageGenProvider()
|
||
|
||
|
||
def _patched_openai(fake_client: MagicMock):
|
||
fake_openai = MagicMock()
|
||
fake_openai.OpenAI.return_value = fake_client
|
||
return patch.dict("sys.modules", {"openai": fake_openai})
|
||
|
||
|
||
# ── Metadata ────────────────────────────────────────────────────────────────
|
||
|
||
|
||
class TestMetadata:
|
||
def test_name(self, provider):
|
||
assert provider.name == "openai"
|
||
|
||
def test_default_model(self, provider):
|
||
assert provider.default_model() == "gpt-image-2-medium"
|
||
|
||
def test_list_models_three_tiers(self, provider):
|
||
ids = [m["id"] for m in provider.list_models()]
|
||
assert ids == ["gpt-image-2-low", "gpt-image-2-medium", "gpt-image-2-high"]
|
||
|
||
def test_catalog_entries_have_display_speed_strengths(self, provider):
|
||
for entry in provider.list_models():
|
||
assert entry["display"].startswith("GPT Image 2")
|
||
assert entry["speed"]
|
||
assert entry["strengths"]
|
||
|
||
|
||
# ── Availability ────────────────────────────────────────────────────────────
|
||
|
||
|
||
class TestAvailability:
|
||
def test_no_api_key_unavailable(self, monkeypatch):
|
||
monkeypatch.delenv("OPENAI_API_KEY", raising=False)
|
||
assert openai_plugin.OpenAIImageGenProvider().is_available() is False
|
||
|
||
def test_api_key_set_available(self, monkeypatch):
|
||
monkeypatch.setenv("OPENAI_API_KEY", "test")
|
||
assert openai_plugin.OpenAIImageGenProvider().is_available() is True
|
||
|
||
|
||
# ── Model resolution ────────────────────────────────────────────────────────
|
||
|
||
|
||
class TestModelResolution:
|
||
def test_default_is_medium(self):
|
||
model_id, meta = openai_plugin._resolve_model()
|
||
assert model_id == "gpt-image-2-medium"
|
||
assert meta["quality"] == "medium"
|
||
|
||
def test_env_var_override(self, monkeypatch):
|
||
monkeypatch.setenv("OPENAI_IMAGE_MODEL", "gpt-image-2-high")
|
||
model_id, meta = openai_plugin._resolve_model()
|
||
assert model_id == "gpt-image-2-high"
|
||
assert meta["quality"] == "high"
|
||
|
||
def test_env_var_unknown_falls_back(self, monkeypatch):
|
||
monkeypatch.setenv("OPENAI_IMAGE_MODEL", "bogus-tier")
|
||
model_id, _ = openai_plugin._resolve_model()
|
||
assert model_id == openai_plugin.DEFAULT_MODEL
|
||
|
||
def test_config_openai_model(self, tmp_path):
|
||
import yaml
|
||
(tmp_path / "config.yaml").write_text(
|
||
yaml.safe_dump({"image_gen": {"openai": {"model": "gpt-image-2-low"}}})
|
||
)
|
||
model_id, meta = openai_plugin._resolve_model()
|
||
assert model_id == "gpt-image-2-low"
|
||
assert meta["quality"] == "low"
|
||
|
||
def test_config_top_level_model(self, tmp_path):
|
||
"""``image_gen.model: gpt-image-2-high`` also works (top-level)."""
|
||
import yaml
|
||
(tmp_path / "config.yaml").write_text(
|
||
yaml.safe_dump({"image_gen": {"model": "gpt-image-2-high"}})
|
||
)
|
||
model_id, meta = openai_plugin._resolve_model()
|
||
assert model_id == "gpt-image-2-high"
|
||
assert meta["quality"] == "high"
|
||
|
||
|
||
# ── Generate ────────────────────────────────────────────────────────────────
|
||
|
||
|
||
class TestGenerate:
|
||
def test_empty_prompt_rejected(self, provider):
|
||
result = provider.generate("", aspect_ratio="square")
|
||
assert result["success"] is False
|
||
assert result["error_type"] == "invalid_argument"
|
||
|
||
def test_missing_api_key(self, monkeypatch):
|
||
monkeypatch.delenv("OPENAI_API_KEY", raising=False)
|
||
result = openai_plugin.OpenAIImageGenProvider().generate("a cat")
|
||
assert result["success"] is False
|
||
assert result["error_type"] == "auth_required"
|
||
|
||
def test_b64_saves_to_cache(self, provider, tmp_path):
|
||
import base64
|
||
png_bytes = bytes.fromhex(_PNG_HEX)
|
||
fake_client = MagicMock()
|
||
fake_client.images.generate.return_value = _fake_response(b64=_b64_png())
|
||
|
||
with _patched_openai(fake_client):
|
||
result = provider.generate("a cat", aspect_ratio="landscape")
|
||
|
||
assert result["success"] is True
|
||
assert result["model"] == "gpt-image-2-medium"
|
||
assert result["aspect_ratio"] == "landscape"
|
||
assert result["provider"] == "openai"
|
||
assert result["quality"] == "medium"
|
||
|
||
saved = Path(result["image"])
|
||
assert saved.exists()
|
||
assert saved.parent == tmp_path / "cache" / "images"
|
||
assert saved.read_bytes() == png_bytes
|
||
|
||
call_kwargs = fake_client.images.generate.call_args.kwargs
|
||
# All tiers hit the single underlying API model.
|
||
assert call_kwargs["model"] == "gpt-image-2"
|
||
assert call_kwargs["quality"] == "medium"
|
||
assert call_kwargs["size"] == "1536x1024"
|
||
# gpt-image-2 rejects response_format — we must NOT send it.
|
||
assert "response_format" not in call_kwargs
|
||
|
||
@pytest.mark.parametrize("tier,expected_quality", [
|
||
("gpt-image-2-low", "low"),
|
||
("gpt-image-2-medium", "medium"),
|
||
("gpt-image-2-high", "high"),
|
||
])
|
||
def test_tier_maps_to_quality(self, provider, monkeypatch, tier, expected_quality):
|
||
monkeypatch.setenv("OPENAI_IMAGE_MODEL", tier)
|
||
fake_client = MagicMock()
|
||
fake_client.images.generate.return_value = _fake_response(b64=_b64_png())
|
||
|
||
with _patched_openai(fake_client):
|
||
result = provider.generate("a cat")
|
||
|
||
assert result["model"] == tier
|
||
assert result["quality"] == expected_quality
|
||
assert fake_client.images.generate.call_args.kwargs["quality"] == expected_quality
|
||
# Always the same underlying API model regardless of tier.
|
||
assert fake_client.images.generate.call_args.kwargs["model"] == "gpt-image-2"
|
||
|
||
@pytest.mark.parametrize("aspect,expected_size", [
|
||
("landscape", "1536x1024"),
|
||
("square", "1024x1024"),
|
||
("portrait", "1024x1536"),
|
||
])
|
||
def test_aspect_ratio_mapping(self, provider, aspect, expected_size):
|
||
fake_client = MagicMock()
|
||
fake_client.images.generate.return_value = _fake_response(b64=_b64_png())
|
||
|
||
with _patched_openai(fake_client):
|
||
provider.generate("a cat", aspect_ratio=aspect)
|
||
|
||
assert fake_client.images.generate.call_args.kwargs["size"] == expected_size
|
||
|
||
def test_revised_prompt_passed_through(self, provider):
|
||
fake_client = MagicMock()
|
||
fake_client.images.generate.return_value = _fake_response(
|
||
b64=_b64_png(), revised_prompt="A photo of a cat",
|
||
)
|
||
|
||
with _patched_openai(fake_client):
|
||
result = provider.generate("a cat")
|
||
|
||
assert result["revised_prompt"] == "A photo of a cat"
|
||
|
||
def test_api_error_returns_error_response(self, provider):
|
||
fake_client = MagicMock()
|
||
fake_client.images.generate.side_effect = RuntimeError("boom")
|
||
|
||
with _patched_openai(fake_client):
|
||
result = provider.generate("a cat")
|
||
|
||
assert result["success"] is False
|
||
assert result["error_type"] == "api_error"
|
||
assert "boom" in result["error"]
|
||
|
||
def test_empty_response_data(self, provider):
|
||
fake_client = MagicMock()
|
||
fake_client.images.generate.return_value = SimpleNamespace(data=[])
|
||
|
||
with _patched_openai(fake_client):
|
||
result = provider.generate("a cat")
|
||
|
||
assert result["success"] is False
|
||
assert result["error_type"] == "empty_response"
|
||
|
||
def test_url_fallback_if_api_changes(self, provider):
|
||
"""Defensive: if OpenAI ever returns URL instead of b64, pass through."""
|
||
fake_client = MagicMock()
|
||
fake_client.images.generate.return_value = _fake_response(
|
||
b64=None, url="https://example.com/img.png",
|
||
)
|
||
|
||
with _patched_openai(fake_client):
|
||
result = provider.generate("a cat")
|
||
|
||
assert result["success"] is True
|
||
assert result["image"] == "https://example.com/img.png"
|