#!/usr/bin/env python3 """ Tests for Chroma Adaptor """ import json import pytest from skill_seekers.cli.adaptors import get_adaptor from skill_seekers.cli.adaptors.base import SkillMetadata class TestChromaAdaptor: """Test suite for ChromaAdaptor class.""" def test_adaptor_registration(self): """Test that Chroma adaptor is registered.""" adaptor = get_adaptor("chroma") assert adaptor.PLATFORM == "chroma" assert adaptor.PLATFORM_NAME == "Chroma (Vector Database)" def test_format_skill_md(self, tmp_path): """Test formatting SKILL.md as Chroma collection data.""" # Create test skill directory skill_dir = tmp_path / "test_skill" skill_dir.mkdir() # Create SKILL.md skill_md = skill_dir / "SKILL.md" skill_md.write_text("# Test Skill\n\nThis is a test skill for Chroma format.") # Create references directory with files refs_dir = skill_dir / "references" refs_dir.mkdir() (refs_dir / "getting_started.md").write_text("# Getting Started\n\nQuick start.") (refs_dir / "api.md").write_text("# API Reference\n\nAPI docs.") # Format as Chroma collection adaptor = get_adaptor("chroma") metadata = SkillMetadata(name="test_skill", description="Test skill", version="1.0.0") collection_json = adaptor.format_skill_md(skill_dir, metadata) # Parse and validate collection = json.loads(collection_json) assert "documents" in collection assert "metadatas" in collection assert "ids" in collection assert len(collection["documents"]) == 3 # SKILL.md + 2 references assert len(collection["metadatas"]) == 3 assert len(collection["ids"]) == 3 # Check metadata structure for meta in collection["metadatas"]: assert meta["source"] == "test_skill" assert meta["version"] == "1.0.0" assert "category" in meta assert "file" in meta assert "type" in meta # Check categories categories = {meta["category"] for meta in collection["metadatas"]} assert "overview" in categories # From SKILL.md assert "getting started" in categories or "api" in categories # From references def test_package_creates_json(self, tmp_path): """Test packaging skill into JSON file.""" # Create test skill skill_dir = tmp_path / "test_skill" skill_dir.mkdir() (skill_dir / "SKILL.md").write_text("# Test\n\nTest content.") # Package adaptor = get_adaptor("chroma") output_path = adaptor.package(skill_dir, tmp_path) # Verify output assert output_path.exists() assert output_path.suffix == ".json" assert "chroma" in output_path.name # Verify content with open(output_path) as f: collection = json.load(f) assert "documents" in collection assert "metadatas" in collection assert "ids" in collection assert len(collection["documents"]) > 0 def test_package_output_filename(self, tmp_path): """Test package output filename generation.""" skill_dir = tmp_path / "react" skill_dir.mkdir() (skill_dir / "SKILL.md").write_text("# React\n\nReact docs.") adaptor = get_adaptor("chroma") # Test directory output output_path = adaptor.package(skill_dir, tmp_path) assert output_path.name == "react-chroma.json" # Test with .zip extension (should replace) output_path = adaptor.package(skill_dir, tmp_path / "test.zip") assert output_path.suffix == ".json" assert "chroma" in output_path.name def test_upload_returns_message(self, tmp_path): """Test upload returns instructions (no actual upload).""" # Create test package package_path = tmp_path / "test-chroma.json" package_path.write_text('{"documents": [], "metadatas": [], "ids": []}') adaptor = get_adaptor("chroma") result = adaptor.upload(package_path, "fake-key") # Upload may fail if chromadb not installed (expected) assert "message" in result # Either chromadb not installed or connection error assert ( "chromadb not installed" in result["message"] or "Failed to connect" in result["message"] ) def test_validate_api_key_returns_false(self): """Test that API key validation returns False (no API needed).""" adaptor = get_adaptor("chroma") assert adaptor.validate_api_key("any-key") is False def test_get_env_var_name_returns_empty(self): """Test that env var name is empty (no API needed).""" adaptor = get_adaptor("chroma") assert adaptor.get_env_var_name() == "" def test_supports_enhancement_returns_false(self): """Test that enhancement is not supported.""" adaptor = get_adaptor("chroma") assert adaptor.supports_enhancement() is False def test_enhance_returns_false(self, tmp_path): """Test that enhance returns False.""" skill_dir = tmp_path / "test_skill" skill_dir.mkdir() adaptor = get_adaptor("chroma") result = adaptor.enhance(skill_dir, "fake-key") assert result is False def test_empty_skill_directory(self, tmp_path): """Test handling of empty skill directory.""" skill_dir = tmp_path / "empty_skill" skill_dir.mkdir() adaptor = get_adaptor("chroma") metadata = SkillMetadata(name="empty_skill", description="Empty", version="1.0.0") collection_json = adaptor.format_skill_md(skill_dir, metadata) collection = json.loads(collection_json) # Should return empty arrays assert collection["documents"] == [] assert collection["metadatas"] == [] assert collection["ids"] == [] def test_references_only(self, tmp_path): """Test skill with references but no SKILL.md.""" skill_dir = tmp_path / "refs_only" skill_dir.mkdir() refs_dir = skill_dir / "references" refs_dir.mkdir() (refs_dir / "test.md").write_text("# Test\n\nTest content.") adaptor = get_adaptor("chroma") metadata = SkillMetadata(name="refs_only", description="Refs only", version="1.0.0") collection_json = adaptor.format_skill_md(skill_dir, metadata) collection = json.loads(collection_json) assert len(collection["documents"]) == 1 assert collection["metadatas"][0]["category"] == "test" assert collection["metadatas"][0]["type"] == "reference" if __name__ == "__main__": pytest.main([__file__, "-v"])