1103da339c
Adds 3 new personas (Pixel, Lyra, Reel) and 5 new tool modules: - Git/DevOps tools (GitPython): clone, status, diff, log, blame, branch, add, commit, push, pull, stash — wired to Forge and Helm personas - Image generation (FLUX via diffusers): text-to-image, storyboards, variations — Pixel persona - Music generation (ACE-Step 1.5): full songs with vocals+instrumentals, instrumental tracks, vocal-only tracks — Lyra persona - Video generation (Wan 2.1 via diffusers): text-to-video, image-to-video clips — Reel persona - Creative Director pipeline: multi-step orchestration that chains storyboard → music → video → assembly into 3+ minute final videos - Video assembler (MoviePy + FFmpeg): stitch clips, overlay audio, title cards, subtitles, final export Also includes: - Spark Intelligence tool-level + creative pipeline event capture - Creative Studio dashboard page (/creative/ui) with 4 tabs - Config settings for all new models and output directories - pyproject.toml creative optional extra for GPU dependencies - 107 new tests covering all modules (624 total, all passing) https://claude.ai/code/session_01KJm6jQkNi3aA3yoQJn636c
94 lines
3.2 KiB
Python
94 lines
3.2 KiB
Python
"""Tests for tools.video_tools — Video generation (Reel persona).
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Heavy AI model tests are skipped; only catalogue, interface, and
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resolution preset tests run in CI.
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"""
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import pytest
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from unittest.mock import patch, MagicMock
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from tools.video_tools import (
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VIDEO_TOOL_CATALOG,
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RESOLUTION_PRESETS,
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VIDEO_STYLES,
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list_video_styles,
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generate_video_clip,
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image_to_video,
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)
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class TestVideoToolCatalog:
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def test_catalog_has_all_tools(self):
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expected = {"generate_video_clip", "image_to_video", "list_video_styles"}
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assert expected == set(VIDEO_TOOL_CATALOG.keys())
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def test_catalog_entries_have_required_keys(self):
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for tool_id, info in VIDEO_TOOL_CATALOG.items():
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assert "name" in info
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assert "description" in info
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assert "fn" in info
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assert callable(info["fn"])
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class TestResolutionPresets:
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def test_480p_preset(self):
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assert RESOLUTION_PRESETS["480p"] == (854, 480)
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def test_720p_preset(self):
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assert RESOLUTION_PRESETS["720p"] == (1280, 720)
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class TestVideoStyles:
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def test_common_styles_present(self):
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for style in ["cinematic", "anime", "documentary"]:
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assert style in VIDEO_STYLES
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class TestListVideoStyles:
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def test_returns_styles_and_resolutions(self):
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result = list_video_styles()
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assert result["success"]
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assert "cinematic" in result["styles"]
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assert "480p" in result["resolutions"]
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assert "720p" in result["resolutions"]
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class TestGenerateVideoClipInterface:
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def test_raises_without_creative_deps(self):
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with patch("tools.video_tools._t2v_pipeline", None):
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with patch("tools.video_tools._get_t2v_pipeline", side_effect=ImportError("no diffusers")):
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with pytest.raises(ImportError):
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generate_video_clip("a sunset")
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def test_duration_clamped(self):
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"""Duration is clamped to 2–10 range."""
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import sys
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mock_pipe = MagicMock()
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mock_pipe.device = "cpu"
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mock_result = MagicMock()
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mock_result.frames = [[MagicMock() for _ in range(48)]]
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mock_pipe.return_value = mock_result
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mock_torch = MagicMock()
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mock_torch.Generator.return_value = MagicMock()
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out_dir = MagicMock()
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out_dir.__truediv__ = MagicMock(return_value=MagicMock(__str__=lambda s: "/fake/clip.mp4"))
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with patch.dict(sys.modules, {"torch": mock_torch}):
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with patch("tools.video_tools._get_t2v_pipeline", return_value=mock_pipe):
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with patch("tools.video_tools._export_frames_to_mp4"):
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with patch("tools.video_tools._output_dir", return_value=out_dir):
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with patch("tools.video_tools._save_metadata"):
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result = generate_video_clip("test", duration=50)
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assert result["duration"] == 10 # clamped
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class TestImageToVideoInterface:
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def test_raises_without_creative_deps(self):
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with patch("tools.video_tools._t2v_pipeline", None):
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with patch("tools.video_tools._get_t2v_pipeline", side_effect=ImportError("no diffusers")):
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with pytest.raises(ImportError):
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image_to_video("/fake/image.png", "animate")
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