from pathlib import Path from graphify.detect import classify_file, count_words, detect, FileType, _looks_like_paper, _is_ignored, _load_graphifyignore FIXTURES = Path(__file__).parent / "fixtures" def test_classify_python(): assert classify_file(Path("foo.py")) == FileType.CODE def test_classify_typescript(): assert classify_file(Path("bar.ts")) == FileType.CODE def test_classify_markdown(): assert classify_file(Path("README.md")) == FileType.DOCUMENT def test_classify_pdf(): assert classify_file(Path("paper.pdf")) == FileType.PAPER def test_classify_pdf_in_xcassets_skipped(): # PDFs inside Xcode asset catalogs are vector icons, not papers asset_pdf = Path("MyApp/Images.xcassets/icon.imageset/icon.pdf") assert classify_file(asset_pdf) is None def test_classify_pdf_in_xcassets_root_skipped(): asset_pdf = Path("Pods/HXPHPicker/Assets.xcassets/photo.pdf") assert classify_file(asset_pdf) is None def test_classify_unknown_returns_none(): assert classify_file(Path("archive.zip")) is None def test_classify_image(): assert classify_file(Path("screenshot.png")) == FileType.IMAGE assert classify_file(Path("design.jpg")) == FileType.IMAGE assert classify_file(Path("diagram.webp")) == FileType.IMAGE def test_count_words_sample_md(): words = count_words(FIXTURES / "sample.md") assert words > 5 def test_detect_finds_fixtures(): result = detect(FIXTURES) assert result["total_files"] >= 2 assert "code" in result["files"] assert "document" in result["files"] def test_detect_warns_small_corpus(): result = detect(FIXTURES) assert result["needs_graph"] is False assert result["warning"] is not None def test_detect_skips_dotfiles(): result = detect(FIXTURES) for files in result["files"].values(): for f in files: assert "/." not in f def test_classify_md_paper_by_signals(tmp_path): """A .md file with enough paper signals should classify as PAPER.""" paper = tmp_path / "paper.md" paper.write_text( "# Abstract\n\nWe propose a new method. See [1] and [23].\n" "This work was published in the Journal of AI. ArXiv preprint.\n" "See Equation 3 for details. \\cite{vaswani2017}.\n" ) assert classify_file(paper) == FileType.PAPER def test_classify_md_doc_without_signals(tmp_path): """A plain .md file without paper signals should stay DOCUMENT.""" doc = tmp_path / "notes.md" doc.write_text("# My Notes\n\nHere are some notes about the project.\n") assert classify_file(doc) == FileType.DOCUMENT def test_classify_attention_paper(): """The real attention paper file should be classified as PAPER.""" paper_path = Path("/home/safi/graphify_eval/papers/attention_is_all_you_need.md") if paper_path.exists(): result = classify_file(paper_path) assert result == FileType.PAPER def test_graphifyignore_excludes_file(tmp_path): """Files matching .graphifyignore patterns are excluded from detect().""" (tmp_path / ".graphifyignore").write_text("vendor/\n*.generated.py\n") vendor = tmp_path / "vendor" vendor.mkdir() (vendor / "lib.py").write_text("x = 1") (tmp_path / "main.py").write_text("print('hi')") (tmp_path / "schema.generated.py").write_text("x = 1") result = detect(tmp_path) file_list = result["files"]["code"] assert any("main.py" in f for f in file_list) assert not any("vendor" in f for f in file_list) assert not any("generated" in f for f in file_list) assert result["graphifyignore_patterns"] == 2 def test_graphifyignore_missing_is_fine(tmp_path): """No .graphifyignore is not an error.""" (tmp_path / "main.py").write_text("x = 1") result = detect(tmp_path) assert result["graphifyignore_patterns"] == 0 def test_graphifyignore_comments_ignored(tmp_path): """Comment lines in .graphifyignore are not treated as patterns.""" (tmp_path / ".graphifyignore").write_text("# this is a comment\n\nmain.py\n") (tmp_path / "main.py").write_text("x = 1") (tmp_path / "other.py").write_text("x = 2") result = detect(tmp_path) assert not any("main.py" in f for f in result["files"]["code"]) assert any("other.py" in f for f in result["files"]["code"]) def test_detect_follows_symlinked_directory(tmp_path): real_dir = tmp_path / "real_lib" real_dir.mkdir() (real_dir / "util.py").write_text("x = 1") (tmp_path / "linked_lib").symlink_to(real_dir) result_no = detect(tmp_path, follow_symlinks=False) result_yes = detect(tmp_path, follow_symlinks=True) assert any("real_lib" in f for f in result_no["files"]["code"]) assert not any("linked_lib" in f for f in result_no["files"]["code"]) assert any("linked_lib" in f for f in result_yes["files"]["code"]) def test_detect_follows_symlinked_file(tmp_path): (tmp_path / "real.py").write_text("x = 1") (tmp_path / "link.py").symlink_to(tmp_path / "real.py") result = detect(tmp_path, follow_symlinks=True) code = result["files"]["code"] assert any("real.py" in f for f in code) assert any("link.py" in f for f in code) def test_graphifyignore_hermetic_without_vcs(tmp_path): """Without a VCS root, parent .graphifyignore does NOT apply (hermetic).""" (tmp_path / ".graphifyignore").write_text("vendor/\n") sub = tmp_path / "packages" / "mylib" sub.mkdir(parents=True) (sub / "main.py").write_text("x = 1") vendor = sub / "vendor" vendor.mkdir() (vendor / "dep.py").write_text("y = 2") result = detect(sub) code_files = result["files"]["code"] assert any("main.py" in f for f in code_files) # parent .graphifyignore must NOT leak into a non-VCS scan assert any("vendor" in f for f in code_files) assert result["graphifyignore_patterns"] == 0 def test_graphifyignore_discovered_from_parent_in_vcs(tmp_path): """Inside a VCS repo, parent .graphifyignore applies to subdirectory scans.""" (tmp_path / ".git").mkdir() (tmp_path / ".graphifyignore").write_text("vendor/\n") sub = tmp_path / "packages" / "mylib" sub.mkdir(parents=True) (sub / "main.py").write_text("x = 1") vendor = sub / "vendor" vendor.mkdir() (vendor / "dep.py").write_text("y = 2") result = detect(sub) code_files = result["files"]["code"] assert any("main.py" in f for f in code_files) assert not any("vendor" in f for f in code_files) assert result["graphifyignore_patterns"] >= 1 def test_graphifyignore_stops_at_git_boundary(tmp_path): """Upward search stops at the git repo root (.git directory).""" (tmp_path / ".graphifyignore").write_text("main.py\n") repo = tmp_path / "repo" repo.mkdir() (repo / ".git").mkdir() sub = repo / "sub" sub.mkdir() (sub / "main.py").write_text("x = 1") result = detect(sub) code_files = result["files"]["code"] assert any("main.py" in f for f in code_files) assert result["graphifyignore_patterns"] == 0 def test_graphifyignore_at_git_root_is_included(tmp_path): """A .graphifyignore at the git repo root is included when scanning a subdir.""" repo = tmp_path / "repo" repo.mkdir() (repo / ".git").mkdir() (repo / ".graphifyignore").write_text("vendor/\n") sub = repo / "packages" / "mylib" sub.mkdir(parents=True) (sub / "main.py").write_text("x = 1") vendor = sub / "vendor" vendor.mkdir() (vendor / "dep.py").write_text("y = 2") result = detect(sub) code_files = result["files"]["code"] assert any("main.py" in f for f in code_files) assert not any("vendor" in f for f in code_files) assert result["graphifyignore_patterns"] == 1 def test_detect_handles_circular_symlinks(tmp_path): sub = tmp_path / "a" sub.mkdir() (sub / "main.py").write_text("x = 1") (sub / "loop").symlink_to(tmp_path) result = detect(tmp_path, follow_symlinks=True) assert any("main.py" in f for f in result["files"]["code"]) def test_classify_video_extensions(): """Video and audio file extensions should classify as VIDEO.""" from graphify.detect import FileType assert classify_file(Path("lecture.mp4")) == FileType.VIDEO assert classify_file(Path("podcast.mp3")) == FileType.VIDEO assert classify_file(Path("talk.mov")) == FileType.VIDEO assert classify_file(Path("recording.wav")) == FileType.VIDEO assert classify_file(Path("webinar.webm")) == FileType.VIDEO assert classify_file(Path("audio.m4a")) == FileType.VIDEO def test_detect_includes_video_key(tmp_path): """detect() result always includes a 'video' key even with no video files.""" (tmp_path / "main.py").write_text("x = 1") result = detect(tmp_path) assert "video" in result["files"] def test_detect_finds_video_files(tmp_path): """detect() correctly counts video files and does not add them to word count.""" (tmp_path / "lecture.mp4").write_bytes(b"fake video data") (tmp_path / "notes.md").write_text("# Notes\nSome content here.") result = detect(tmp_path) assert len(result["files"]["video"]) == 1 assert any("lecture.mp4" in f for f in result["files"]["video"]) # total_words should not include video files (they have no readable text) assert result["total_words"] >= 0 # won't crash def test_detect_video_not_in_words(tmp_path): """Video files do not contribute to total_words.""" (tmp_path / "clip.mp4").write_bytes(b"\x00" * 100) result = detect(tmp_path) # Only video file present — total_words should be 0 assert result["total_words"] == 0