- Formatted 103 files to comply with ruff format requirements - No code logic changes, only formatting/whitespace - Fixes CI formatting check failures
189 lines
6.5 KiB
Python
189 lines
6.5 KiB
Python
#!/usr/bin/env python3
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"""
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Tests for FAISS Adaptor
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"""
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import json
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import pytest
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from skill_seekers.cli.adaptors import get_adaptor
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from skill_seekers.cli.adaptors.base import SkillMetadata
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class TestFAISSAdaptor:
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"""Test suite for FAISSAdaptor class."""
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def test_adaptor_registration(self):
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"""Test that FAISS adaptor is registered."""
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adaptor = get_adaptor("faiss")
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assert adaptor.PLATFORM == "faiss"
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assert adaptor.PLATFORM_NAME == "FAISS (Similarity Search)"
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def test_format_skill_md(self, tmp_path):
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"""Test formatting SKILL.md as FAISS index data."""
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# Create test skill directory
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skill_dir = tmp_path / "test_skill"
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skill_dir.mkdir()
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# Create SKILL.md
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skill_md = skill_dir / "SKILL.md"
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skill_md.write_text("# Test Skill\n\nThis is a test skill for FAISS format.")
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# Create references directory with files
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refs_dir = skill_dir / "references"
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refs_dir.mkdir()
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(refs_dir / "getting_started.md").write_text("# Getting Started\n\nQuick start.")
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(refs_dir / "api.md").write_text("# API Reference\n\nAPI docs.")
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# Format as FAISS index data
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adaptor = get_adaptor("faiss")
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metadata = SkillMetadata(name="test_skill", description="Test skill", version="1.0.0")
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index_json = adaptor.format_skill_md(skill_dir, metadata)
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# Parse and validate
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index_data = json.loads(index_json)
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assert "documents" in index_data
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assert "metadatas" in index_data
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assert "ids" in index_data
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assert "config" in index_data
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assert len(index_data["documents"]) == 3 # SKILL.md + 2 references
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assert len(index_data["metadatas"]) == 3
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assert len(index_data["ids"]) == 3
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# Check metadata structure
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for meta in index_data["metadatas"]:
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assert meta["source"] == "test_skill"
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assert meta["version"] == "1.0.0"
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assert "category" in meta
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assert "file" in meta
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assert "type" in meta
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# Check categories
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categories = {meta["category"] for meta in index_data["metadatas"]}
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assert "overview" in categories # From SKILL.md
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assert "getting started" in categories or "api" in categories # From references
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def test_package_creates_json(self, tmp_path):
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"""Test packaging skill into JSON file."""
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# Create test skill
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skill_dir = tmp_path / "test_skill"
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skill_dir.mkdir()
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(skill_dir / "SKILL.md").write_text("# Test\n\nTest content.")
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# Package
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adaptor = get_adaptor("faiss")
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output_path = adaptor.package(skill_dir, tmp_path)
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# Verify output
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assert output_path.exists()
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assert output_path.suffix == ".json"
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assert "faiss" in output_path.name
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# Verify content
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with open(output_path) as f:
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index_data = json.load(f)
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assert "documents" in index_data
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assert "metadatas" in index_data
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assert "ids" in index_data
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assert len(index_data["documents"]) > 0
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def test_package_output_filename(self, tmp_path):
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"""Test package output filename generation."""
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skill_dir = tmp_path / "react"
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skill_dir.mkdir()
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(skill_dir / "SKILL.md").write_text("# React\n\nReact docs.")
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adaptor = get_adaptor("faiss")
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# Test directory output
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output_path = adaptor.package(skill_dir, tmp_path)
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assert output_path.name == "react-faiss.json"
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# Test with .zip extension (should replace)
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output_path = adaptor.package(skill_dir, tmp_path / "test.zip")
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assert output_path.suffix == ".json"
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assert "faiss" in output_path.name
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def test_upload_returns_message(self, tmp_path):
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"""Test upload returns instructions (no actual upload)."""
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# Create test package
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package_path = tmp_path / "test-faiss.json"
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package_path.write_text('{"texts": [], "metadatas": []}')
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adaptor = get_adaptor("faiss")
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result = adaptor.upload(package_path, "fake-key")
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assert result["success"] is False # No upload capability
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assert result["skill_id"] is None
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assert "message" in result
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assert "import faiss" in result["message"]
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def test_validate_api_key_returns_false(self):
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"""Test that API key validation returns False (no API needed)."""
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adaptor = get_adaptor("faiss")
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assert adaptor.validate_api_key("any-key") is False
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def test_get_env_var_name_returns_empty(self):
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"""Test that env var name is empty (no API needed)."""
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adaptor = get_adaptor("faiss")
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assert adaptor.get_env_var_name() == ""
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def test_supports_enhancement_returns_false(self):
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"""Test that enhancement is not supported."""
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adaptor = get_adaptor("faiss")
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assert adaptor.supports_enhancement() is False
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def test_enhance_returns_false(self, tmp_path):
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"""Test that enhance returns False."""
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skill_dir = tmp_path / "test_skill"
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skill_dir.mkdir()
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adaptor = get_adaptor("faiss")
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result = adaptor.enhance(skill_dir, "fake-key")
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assert result is False
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def test_empty_skill_directory(self, tmp_path):
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"""Test handling of empty skill directory."""
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skill_dir = tmp_path / "empty_skill"
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skill_dir.mkdir()
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adaptor = get_adaptor("faiss")
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metadata = SkillMetadata(name="empty_skill", description="Empty", version="1.0.0")
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index_json = adaptor.format_skill_md(skill_dir, metadata)
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index_data = json.loads(index_json)
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# Should return empty arrays
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assert index_data["documents"] == []
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assert index_data["metadatas"] == []
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assert index_data["ids"] == []
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def test_references_only(self, tmp_path):
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"""Test skill with references but no SKILL.md."""
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skill_dir = tmp_path / "refs_only"
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skill_dir.mkdir()
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refs_dir = skill_dir / "references"
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refs_dir.mkdir()
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(refs_dir / "test.md").write_text("# Test\n\nTest content.")
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adaptor = get_adaptor("faiss")
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metadata = SkillMetadata(name="refs_only", description="Refs only", version="1.0.0")
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index_json = adaptor.format_skill_md(skill_dir, metadata)
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index_data = json.loads(index_json)
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assert len(index_data["documents"]) == 1
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assert index_data["metadatas"][0]["category"] == "test"
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assert index_data["metadatas"][0]["type"] == "reference"
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if __name__ == "__main__":
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pytest.main([__file__, "-v"])
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