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skill-seekers-reference/tests/test_adaptors/test_faiss_adaptor.py
yusyus 0265de5816 style: Format all Python files with ruff
- Formatted 103 files to comply with ruff format requirements
- No code logic changes, only formatting/whitespace
- Fixes CI formatting check failures
2026-02-08 14:42:27 +03:00

189 lines
6.5 KiB
Python

#!/usr/bin/env python3
"""
Tests for FAISS Adaptor
"""
import json
import pytest
from skill_seekers.cli.adaptors import get_adaptor
from skill_seekers.cli.adaptors.base import SkillMetadata
class TestFAISSAdaptor:
"""Test suite for FAISSAdaptor class."""
def test_adaptor_registration(self):
"""Test that FAISS adaptor is registered."""
adaptor = get_adaptor("faiss")
assert adaptor.PLATFORM == "faiss"
assert adaptor.PLATFORM_NAME == "FAISS (Similarity Search)"
def test_format_skill_md(self, tmp_path):
"""Test formatting SKILL.md as FAISS index 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 FAISS 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 FAISS index data
adaptor = get_adaptor("faiss")
metadata = SkillMetadata(name="test_skill", description="Test skill", version="1.0.0")
index_json = adaptor.format_skill_md(skill_dir, metadata)
# Parse and validate
index_data = json.loads(index_json)
assert "documents" in index_data
assert "metadatas" in index_data
assert "ids" in index_data
assert "config" in index_data
assert len(index_data["documents"]) == 3 # SKILL.md + 2 references
assert len(index_data["metadatas"]) == 3
assert len(index_data["ids"]) == 3
# Check metadata structure
for meta in index_data["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 index_data["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("faiss")
output_path = adaptor.package(skill_dir, tmp_path)
# Verify output
assert output_path.exists()
assert output_path.suffix == ".json"
assert "faiss" in output_path.name
# Verify content
with open(output_path) as f:
index_data = json.load(f)
assert "documents" in index_data
assert "metadatas" in index_data
assert "ids" in index_data
assert len(index_data["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("faiss")
# Test directory output
output_path = adaptor.package(skill_dir, tmp_path)
assert output_path.name == "react-faiss.json"
# Test with .zip extension (should replace)
output_path = adaptor.package(skill_dir, tmp_path / "test.zip")
assert output_path.suffix == ".json"
assert "faiss" 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-faiss.json"
package_path.write_text('{"texts": [], "metadatas": []}')
adaptor = get_adaptor("faiss")
result = adaptor.upload(package_path, "fake-key")
assert result["success"] is False # No upload capability
assert result["skill_id"] is None
assert "message" in result
assert "import faiss" in result["message"]
def test_validate_api_key_returns_false(self):
"""Test that API key validation returns False (no API needed)."""
adaptor = get_adaptor("faiss")
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("faiss")
assert adaptor.get_env_var_name() == ""
def test_supports_enhancement_returns_false(self):
"""Test that enhancement is not supported."""
adaptor = get_adaptor("faiss")
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("faiss")
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("faiss")
metadata = SkillMetadata(name="empty_skill", description="Empty", version="1.0.0")
index_json = adaptor.format_skill_md(skill_dir, metadata)
index_data = json.loads(index_json)
# Should return empty arrays
assert index_data["documents"] == []
assert index_data["metadatas"] == []
assert index_data["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("faiss")
metadata = SkillMetadata(name="refs_only", description="Refs only", version="1.0.0")
index_json = adaptor.format_skill_md(skill_dir, metadata)
index_data = json.loads(index_json)
assert len(index_data["documents"]) == 1
assert index_data["metadatas"][0]["category"] == "test"
assert index_data["metadatas"][0]["type"] == "reference"
if __name__ == "__main__":
pytest.main([__file__, "-v"])