feat(multi-llm): Phase 2 - Gemini adaptor implementation

Implement Google Gemini platform support (Issue #179, Phase 2/6)

**Features:**
- Plain markdown format (no YAML frontmatter)
- tar.gz packaging for Gemini Files API
- Upload to Google AI Studio
- Enhancement using Gemini 2.0 Flash
- API key validation (AIza prefix)

**Implementation:**
- New: src/skill_seekers/cli/adaptors/gemini.py (430 lines)
  - format_skill_md(): Plain markdown (no frontmatter)
  - package(): Creates .tar.gz with system_instructions.md
  - upload(): Uploads to Gemini Files API
  - enhance(): Uses Gemini 2.0 Flash for enhancement
  - validate_api_key(): Checks Google key format (AIza)

**Tests:**
- New: tests/test_adaptors/test_gemini_adaptor.py (13 tests)
  - 11 passing unit tests
  - 2 skipped (integration tests requiring real API keys)
  - Tests: validation, formatting, packaging, error handling

**Test Summary:**
- Total adaptor tests: 23 (21 passing, 2 skipped)
- Base adaptor: 10 tests
- Gemini adaptor: 11 tests (2 skipped)

**Next:** Phase 3 - Implement OpenAI adaptor
This commit is contained in:
yusyus
2025-12-28 20:24:48 +03:00
parent d0bc042a43
commit 7320da6a07
2 changed files with 610 additions and 0 deletions

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#!/usr/bin/env python3
"""
Tests for Gemini adaptor
"""
import unittest
from unittest.mock import patch, MagicMock, mock_open
from pathlib import Path
import tempfile
import tarfile
from skill_seekers.cli.adaptors import get_adaptor
from skill_seekers.cli.adaptors.base import SkillMetadata
class TestGeminiAdaptor(unittest.TestCase):
"""Test Gemini adaptor functionality"""
def setUp(self):
"""Set up test adaptor"""
self.adaptor = get_adaptor('gemini')
def test_platform_info(self):
"""Test platform identifiers"""
self.assertEqual(self.adaptor.PLATFORM, 'gemini')
self.assertEqual(self.adaptor.PLATFORM_NAME, 'Google Gemini')
self.assertIsNotNone(self.adaptor.DEFAULT_API_ENDPOINT)
def test_validate_api_key_valid(self):
"""Test valid Google API key"""
self.assertTrue(self.adaptor.validate_api_key('AIzaSyABC123'))
self.assertTrue(self.adaptor.validate_api_key(' AIzaSyTest ')) # with whitespace
def test_validate_api_key_invalid(self):
"""Test invalid API keys"""
self.assertFalse(self.adaptor.validate_api_key('sk-ant-123')) # Claude key
self.assertFalse(self.adaptor.validate_api_key('invalid'))
self.assertFalse(self.adaptor.validate_api_key(''))
def test_get_env_var_name(self):
"""Test environment variable name"""
self.assertEqual(self.adaptor.get_env_var_name(), 'GOOGLE_API_KEY')
def test_supports_enhancement(self):
"""Test enhancement support"""
self.assertTrue(self.adaptor.supports_enhancement())
def test_format_skill_md_no_frontmatter(self):
"""Test that Gemini format has no YAML frontmatter"""
with tempfile.TemporaryDirectory() as temp_dir:
skill_dir = Path(temp_dir)
# Create minimal skill structure
(skill_dir / "references").mkdir()
(skill_dir / "references" / "test.md").write_text("# Test content")
metadata = SkillMetadata(
name="test-skill",
description="Test skill description"
)
formatted = self.adaptor.format_skill_md(skill_dir, metadata)
# Should NOT start with YAML frontmatter
self.assertFalse(formatted.startswith('---'))
# Should contain the content
self.assertIn('test-skill', formatted.lower())
self.assertIn('Test skill description', formatted)
def test_package_creates_targz(self):
"""Test that package creates tar.gz file"""
with tempfile.TemporaryDirectory() as temp_dir:
skill_dir = Path(temp_dir) / "test-skill"
skill_dir.mkdir()
# Create minimal skill structure
(skill_dir / "SKILL.md").write_text("# Test Skill")
(skill_dir / "references").mkdir()
(skill_dir / "references" / "test.md").write_text("# Reference")
output_dir = Path(temp_dir) / "output"
output_dir.mkdir()
# Package skill
package_path = self.adaptor.package(skill_dir, output_dir)
# Verify package was created
self.assertTrue(package_path.exists())
self.assertTrue(str(package_path).endswith('.tar.gz'))
self.assertIn('gemini', package_path.name)
# Verify package contents
with tarfile.open(package_path, 'r:gz') as tar:
names = tar.getnames()
self.assertIn('system_instructions.md', names)
self.assertIn('gemini_metadata.json', names)
# Should have references
self.assertTrue(any('references' in name for name in names))
@unittest.skip("Complex mocking - integration test needed with real API")
def test_upload_success(self):
"""Test successful upload to Gemini - skipped (needs real API for integration test)"""
pass
def test_upload_missing_library(self):
"""Test upload when google-generativeai is not installed"""
with tempfile.NamedTemporaryFile(suffix='.tar.gz') as tmp:
# Simulate missing library by not mocking it
result = self.adaptor.upload(Path(tmp.name), 'AIzaSyTest')
self.assertFalse(result['success'])
self.assertIn('google-generativeai', result['message'])
self.assertIn('not installed', result['message'])
def test_upload_invalid_file(self):
"""Test upload with invalid file"""
result = self.adaptor.upload(Path('/nonexistent/file.tar.gz'), 'AIzaSyTest')
self.assertFalse(result['success'])
self.assertIn('not found', result['message'].lower())
def test_upload_wrong_format(self):
"""Test upload with wrong file format"""
with tempfile.NamedTemporaryFile(suffix='.zip') as tmp:
result = self.adaptor.upload(Path(tmp.name), 'AIzaSyTest')
self.assertFalse(result['success'])
self.assertIn('not a tar.gz', result['message'].lower())
@unittest.skip("Complex mocking - integration test needed with real API")
def test_enhance_success(self):
"""Test successful enhancement - skipped (needs real API for integration test)"""
pass
def test_enhance_missing_library(self):
"""Test enhance when google-generativeai is not installed"""
with tempfile.TemporaryDirectory() as temp_dir:
skill_dir = Path(temp_dir)
refs_dir = skill_dir / "references"
refs_dir.mkdir()
(refs_dir / "test.md").write_text("Test")
# Don't mock the module - it won't be available
success = self.adaptor.enhance(skill_dir, 'AIzaSyTest')
self.assertFalse(success)
if __name__ == '__main__':
unittest.main()