feat: initialize video metadata analyzer
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from pathlib import Path
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from video_metadata_analyzer.analysis import build_summary
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from video_metadata_analyzer.models import VideoMetadata
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def test_build_summary_computes_totals_and_histograms() -> None:
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records = [
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VideoMetadata(
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path=Path("a.mp4"),
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size_bytes=50 * 1024 * 1024,
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duration_seconds=30,
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format_name="mov,mp4,m4a,3gp,3g2,mj2",
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bit_rate=1_000_000,
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video_codec="h264",
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audio_codec="aac",
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width=1920,
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height=1080,
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frame_rate=30.0,
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video_stream_count=1,
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audio_stream_count=1,
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subtitle_stream_count=0,
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),
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VideoMetadata(
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path=Path("b.mkv"),
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size_bytes=700 * 1024 * 1024,
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duration_seconds=600,
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format_name="matroska,webm",
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bit_rate=2_000_000,
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video_codec="h264",
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audio_codec="aac",
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width=1280,
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height=720,
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frame_rate=24.0,
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video_stream_count=1,
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audio_stream_count=1,
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subtitle_stream_count=0,
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),
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VideoMetadata(
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path=Path("c.mov"),
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size_bytes=2 * 1024 * 1024 * 1024,
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duration_seconds=4200,
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format_name="mov,mp4,m4a,3gp,3g2,mj2",
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bit_rate=8_000_000,
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video_codec="hevc",
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audio_codec="aac",
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width=3840,
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height=2160,
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frame_rate=60.0,
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video_stream_count=1,
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audio_stream_count=1,
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subtitle_stream_count=0,
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),
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]
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summary = build_summary(records)
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assert summary.total_files == 3
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assert summary.total_size_bytes == 2_933_915_648
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assert summary.total_duration_seconds == 4830
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assert [(item.label, item.count) for item in summary.duration_histogram] == [
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("0-1 min", 1),
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("1-5 min", 0),
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("5-15 min", 1),
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("15-60 min", 0),
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("60+ min", 1),
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]
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assert [(item.label, item.count) for item in summary.size_histogram] == [
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("0-100 MB", 1),
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("100-500 MB", 0),
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("500 MB-1 GB", 1),
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("1-4 GB", 1),
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("4+ GB", 0),
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]
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assert [(item.label, item.count) for item in summary.video_codecs] == [
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("h264", 2),
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("hevc", 1),
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]
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assert [(item.label, item.count) for item in summary.resolutions] == [
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("1920x1080", 1),
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("1280x720", 1),
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("3840x2160", 1),
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]
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from __future__ import annotations
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import json
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from pathlib import Path
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from video_metadata_analyzer.cli import main
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def test_main_scans_input_directory_and_writes_reports(tmp_path: Path) -> None:
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input_dir = tmp_path / "videos"
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input_dir.mkdir()
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sample = input_dir / "sample.mp4"
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sample.write_bytes(b"x" * 2048)
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output_dir = tmp_path / "output"
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def fake_runner(command: list[str]) -> str:
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if command[:2] == ["ffprobe", "-version"]:
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return "ffprobe version 8.0.1\nbuilt with ...\n"
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if command[:2] == ["ffmpeg", "-version"]:
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return "ffmpeg version 8.0.1\nbuilt with ...\n"
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if command[0] == "ffprobe":
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return json.dumps(
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{
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"format": {
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"filename": str(sample),
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"format_name": "mov,mp4,m4a,3gp,3g2,mj2",
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"duration": "8.000000",
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"bit_rate": "1024000",
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"size": "2048",
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},
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"streams": [
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{
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"codec_type": "video",
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"codec_name": "h264",
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"width": 1280,
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"height": 720,
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"avg_frame_rate": "25/1",
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}
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],
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}
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)
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raise AssertionError(f"unexpected command: {command}")
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exit_code = main(
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[str(input_dir), "--output-dir", str(output_dir)],
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command_runner=fake_runner,
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)
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assert exit_code == 0
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assert (output_dir / "report.json").exists()
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assert (output_dir / "files.csv").exists()
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assert (output_dir / "report.html").exists()
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from pathlib import Path
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from video_metadata_analyzer.discovery import discover_video_files
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def test_discover_video_files_recursively_filters_supported_extensions(tmp_path: Path) -> None:
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source_a = tmp_path / "source-a"
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source_b = tmp_path / "source-b"
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nested = source_a / "nested"
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nested.mkdir(parents=True)
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source_b.mkdir(parents=True)
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keep_1 = source_a / "movie.mp4"
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keep_2 = nested / "clip.MKV"
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keep_3 = source_b / "recording.mov"
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skip_1 = source_a / "notes.txt"
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skip_2 = nested / "thumb.jpg"
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for path in [keep_1, keep_2, keep_3, skip_1, skip_2]:
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path.write_bytes(b"sample")
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discovered = discover_video_files([source_a, source_b])
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assert discovered == sorted([keep_1, keep_2, keep_3])
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from video_metadata_analyzer import __version__
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def test_package_version_is_exposed() -> None:
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assert __version__
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@@ -0,0 +1,57 @@
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from __future__ import annotations
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import json
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from pathlib import Path
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from video_metadata_analyzer.probe import probe_video_metadata
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def test_probe_video_metadata_parses_primary_streams(tmp_path: Path) -> None:
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sample = tmp_path / "sample.mp4"
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sample.write_bytes(b"x" * 4096)
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captured_command: list[str] = []
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def fake_runner(command: list[str]) -> str:
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captured_command[:] = command
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return json.dumps(
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{
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"format": {
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"filename": str(sample),
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"format_name": "mov,mp4,m4a,3gp,3g2,mj2",
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"duration": "12.500000",
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"bit_rate": "2621440",
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"size": "4096",
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},
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"streams": [
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{
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"codec_type": "video",
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"codec_name": "h264",
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"width": 1920,
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"height": 1080,
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"avg_frame_rate": "30000/1001",
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},
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{
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"codec_type": "audio",
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"codec_name": "aac",
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},
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],
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}
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)
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result = probe_video_metadata(sample, runner=fake_runner)
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assert captured_command[:4] == ["ffprobe", "-v", "quiet", "-print_format"]
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assert result.path == sample
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assert result.size_bytes == 4096
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assert result.duration_seconds == 12.5
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assert result.format_name == "mov,mp4,m4a,3gp,3g2,mj2"
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assert result.bit_rate == 2621440
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assert result.video_codec == "h264"
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assert result.audio_codec == "aac"
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assert result.width == 1920
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assert result.height == 1080
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assert result.frame_rate == 30000 / 1001
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assert result.video_stream_count == 1
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assert result.audio_stream_count == 1
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assert result.subtitle_stream_count == 0
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@@ -0,0 +1,55 @@
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from __future__ import annotations
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import json
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from pathlib import Path
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from video_metadata_analyzer.analysis import build_summary
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from video_metadata_analyzer.models import VideoMetadata
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from video_metadata_analyzer.reporting import write_report_bundle
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def test_write_report_bundle_creates_json_csv_and_html(tmp_path: Path) -> None:
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output_dir = tmp_path / "report"
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record = VideoMetadata(
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path=Path("videos/sample.mp4"),
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size_bytes=50 * 1024 * 1024,
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duration_seconds=120,
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format_name="mov,mp4,m4a,3gp,3g2,mj2",
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bit_rate=1_500_000,
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video_codec="h264",
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audio_codec="aac",
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width=1920,
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height=1080,
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frame_rate=30.0,
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video_stream_count=1,
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audio_stream_count=1,
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subtitle_stream_count=0,
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)
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summary = build_summary([record])
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paths = write_report_bundle(
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output_dir=output_dir,
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scanned_inputs=[Path("videos")],
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records=[record],
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summary=summary,
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tool_versions={"ffprobe": "ffprobe version x", "ffmpeg": "ffmpeg version y"},
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)
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assert set(paths) == {"json", "csv", "html"}
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assert paths["json"].exists()
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assert paths["csv"].exists()
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assert paths["html"].exists()
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payload = json.loads(paths["json"].read_text(encoding="utf-8"))
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assert payload["summary"]["total_files"] == 1
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assert payload["tool_versions"]["ffmpeg"] == "ffmpeg version y"
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assert payload["files"][0]["path"] == "videos/sample.mp4"
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csv_text = paths["csv"].read_text(encoding="utf-8")
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assert "path,size_bytes,duration_seconds" in csv_text
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assert "videos/sample.mp4" in csv_text
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html_text = paths["html"].read_text(encoding="utf-8")
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assert "视频元数据分析报告" in html_text
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assert "时长分布" in html_text
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assert "<svg" in html_text
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