mirror of
https://github.com/NousResearch/hermes-agent.git
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218 lines
8.5 KiB
Python
218 lines
8.5 KiB
Python
"""Tests for the bundled DeepInfra video_gen plugin.
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Invariants only — no snapshots of specific model ids. The plugin is a thin
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subclass of ``agent.video_gen_provider.OpenAICompatibleVideoGenProvider``;
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these tests pin the plugin-specific bits (tag filtering, identity) and the
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shared base behaviour exercised through it (OpenAI ``videos`` call shape,
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t2v vs i2v routing, download → save).
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"""
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from __future__ import annotations
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from contextlib import contextmanager
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from types import SimpleNamespace
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from unittest.mock import MagicMock, patch
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import pytest
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import plugins.video_gen.deepinfra as deepinfra_plugin
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@pytest.fixture(autouse=True)
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def _isolation(tmp_path, monkeypatch):
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monkeypatch.setenv("HERMES_HOME", str(tmp_path))
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import hermes_cli.models as _models_mod
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monkeypatch.setattr(_models_mod, "_deepinfra_catalog_cache", {})
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monkeypatch.setenv("DEEPINFRA_API_KEY", "test-key")
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yield
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def test_identity_and_availability(monkeypatch):
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p = deepinfra_plugin.DeepInfraVideoGenProvider()
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assert p.name == "deepinfra"
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assert p.display_name == "DeepInfra"
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assert p._base_url() == "https://api.deepinfra.com/v1/openai"
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assert p.is_available() is True
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monkeypatch.delenv("DEEPINFRA_API_KEY", raising=False)
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assert p.is_available() is False
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def test_list_models_filters_by_video_gen_tag(monkeypatch):
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"""list_models() returns only ``video-gen``-tagged catalog entries."""
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import hermes_cli.models as _models_mod
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def _fake_by_tag(tag, **kw):
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assert tag == "video-gen"
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return [
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{"id": "vendor/p-video", "metadata": {"description": "fast t2v"}},
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{"id": "vendor/wan-t2v", "metadata": {}},
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]
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monkeypatch.setattr(_models_mod, "_fetch_deepinfra_models_by_tag", _fake_by_tag)
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rows = deepinfra_plugin.DeepInfraVideoGenProvider().list_models()
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ids = {row["id"] for row in rows}
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assert ids == {"vendor/p-video", "vendor/wan-t2v"}
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assert all("display" in r for r in rows)
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def _fake_openai_with_capture(captured: dict, *, status="succeeded",
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data=None, download=b"\x00\x00mp4bytes"):
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"""Build a fake ``openai`` module whose videos resource records the call.
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Defaults mirror the real DeepInfra job shape: status ``"succeeded"`` and a
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``data`` list carrying the delivery URL.
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"""
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if data is None:
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data = [{"url": "https://cdn.example/out.mp4"}]
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class _FakeVideos:
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def create(self, **kwargs):
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captured["kwargs"] = kwargs
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# Return a terminal status immediately so the bounded poll in
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# OpenAICompatibleVideoGenProvider._create_and_poll exits without
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# calling retrieve() or sleeping.
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return SimpleNamespace(status=status, id="vid_123", error=None, data=data)
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def retrieve(self, video_id):
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return SimpleNamespace(status=status, id=video_id, error=None, data=data)
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def download_content(self, video_id):
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captured["downloaded_id"] = video_id
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return SimpleNamespace(read=lambda: download)
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class _FakeClient:
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def __init__(self, api_key=None, base_url=None):
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captured["api_key"] = api_key
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captured["base_url"] = base_url
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self.videos = _FakeVideos()
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fake = MagicMock()
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fake.OpenAI = _FakeClient
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return fake
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@contextmanager
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def _mock_url_download(captured: dict, raise_exc: Exception | None = None):
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"""Patch the shared ``save_url_video`` helper the base provider calls."""
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import agent.video_gen_provider as base
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from pathlib import Path
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def _fake_save_url_video(url, *, prefix="video", **kw):
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captured["url"] = url
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if raise_exc:
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raise raise_exc
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return Path(f"/home/x/.hermes/cache/videos/{prefix}_test.mp4")
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with patch.object(base, "save_url_video", _fake_save_url_video):
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yield
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def test_generate_text_to_video_downloads_url_and_saves_locally():
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"""t2v happy path: SDK called with DeepInfra base_url + key; status
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'succeeded' + data[].url → bytes downloaded and saved to a local file."""
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captured: dict = {}
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with patch.dict("sys.modules", {"openai": _fake_openai_with_capture(captured)}), \
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_mock_url_download(captured):
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result = deepinfra_plugin.DeepInfraVideoGenProvider().generate(
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prompt="a red cube rotating", model="vendor/test-vid", duration=5,
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)
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assert result["success"] is True
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assert result["modality"] == "text"
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assert result["video"].endswith(".mp4") and "cache/videos" in result["video"]
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assert captured["url"] == "https://cdn.example/out.mp4"
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assert "deepinfra" in captured["base_url"]
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assert captured["api_key"] == "test-key"
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assert captured["kwargs"]["model"] == "vendor/test-vid"
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assert captured["kwargs"]["seconds"] == "5"
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# No image_url ⇒ no image-to-video field passed through.
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assert "image_url" not in captured["kwargs"].get("extra_body", {})
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def test_generate_returns_url_when_local_save_fails():
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"""If downloading the delivery URL fails, fall back to returning the URL."""
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captured: dict = {}
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with patch.dict("sys.modules", {"openai": _fake_openai_with_capture(captured)}), \
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_mock_url_download(captured, raise_exc=OSError("network down")):
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result = deepinfra_plugin.DeepInfraVideoGenProvider().generate(
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prompt="x", model="vendor/test-vid",
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)
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assert result["success"] is True
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assert result["video"] == "https://cdn.example/out.mp4"
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def test_generate_falls_back_to_download_when_no_url():
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"""OpenAI/Sora style: no data[].url → download_content bytes saved locally."""
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captured: dict = {}
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fake = _fake_openai_with_capture(captured, status="completed", data=[])
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with patch.dict("sys.modules", {"openai": fake}):
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result = deepinfra_plugin.DeepInfraVideoGenProvider().generate(
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prompt="x", model="vendor/test-vid",
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)
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assert result["success"] is True
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assert captured["downloaded_id"] == "vid_123"
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assert result["video"].endswith(".mp4")
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def test_generate_image_to_video_routes_via_extra_body():
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"""Presence of image_url routes to i2v and rides in extra_body."""
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captured: dict = {}
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with patch.dict("sys.modules", {"openai": _fake_openai_with_capture(captured)}), \
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_mock_url_download(captured):
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result = deepinfra_plugin.DeepInfraVideoGenProvider().generate(
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prompt="animate this", model="vendor/test-vid",
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image_url="https://example.com/cat.jpg", negative_prompt="blurry",
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)
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assert result["success"] is True
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assert result["modality"] == "image"
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extra = captured["kwargs"]["extra_body"]
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assert extra["image_url"] == "https://example.com/cat.jpg"
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assert extra["negative_prompt"] == "blurry"
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def test_generate_errors_when_key_missing(monkeypatch):
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monkeypatch.delenv("DEEPINFRA_API_KEY", raising=False)
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result = deepinfra_plugin.DeepInfraVideoGenProvider().generate(
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prompt="x", model="vendor/test-vid",
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)
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assert result["success"] is False
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assert result["error_type"] == "missing_credentials"
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def test_generate_errors_when_job_not_completed():
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"""A non-completed job status surfaces a JSON-serializable job_failed error.
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``video.error`` is a structured SDK object (pydantic ``VideoCreateError``),
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not a string — the provider must str() it so the response dict survives the
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tool layer's ``json.dumps``. We simulate that with a non-serializable object.
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"""
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import json
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captured: dict = {}
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fake = _fake_openai_with_capture(captured)
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class _NonSerializableError:
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def __str__(self):
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return "content policy violation"
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class _FailingVideos:
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def create(self, **kwargs):
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return SimpleNamespace(
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status="failed", id="vid_x", error=_NonSerializableError(), data=None
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)
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def retrieve(self, video_id): # pragma: no cover - status already terminal
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return SimpleNamespace(status="failed", id=video_id, error=None, data=None)
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def _client(api_key=None, base_url=None):
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return SimpleNamespace(videos=_FailingVideos())
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fake.OpenAI = _client
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with patch.dict("sys.modules", {"openai": fake}):
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result = deepinfra_plugin.DeepInfraVideoGenProvider().generate(
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prompt="x", model="vendor/test-vid",
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)
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assert result["success"] is False
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assert result["error_type"] == "job_failed"
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assert "content policy violation" in result["error"]
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# Must not raise — this is the regression the str() guard prevents.
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json.dumps(result)
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