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
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tests/test_adaptors/test_gemini_adaptor.py
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150
tests/test_adaptors/test_gemini_adaptor.py
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#!/usr/bin/env python3
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"""
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Tests for Gemini adaptor
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"""
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import unittest
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from unittest.mock import patch, MagicMock, mock_open
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from pathlib import Path
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import tempfile
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import tarfile
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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 TestGeminiAdaptor(unittest.TestCase):
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"""Test Gemini adaptor functionality"""
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def setUp(self):
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"""Set up test adaptor"""
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self.adaptor = get_adaptor('gemini')
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def test_platform_info(self):
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"""Test platform identifiers"""
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self.assertEqual(self.adaptor.PLATFORM, 'gemini')
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self.assertEqual(self.adaptor.PLATFORM_NAME, 'Google Gemini')
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self.assertIsNotNone(self.adaptor.DEFAULT_API_ENDPOINT)
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def test_validate_api_key_valid(self):
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"""Test valid Google API key"""
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self.assertTrue(self.adaptor.validate_api_key('AIzaSyABC123'))
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self.assertTrue(self.adaptor.validate_api_key(' AIzaSyTest ')) # with whitespace
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def test_validate_api_key_invalid(self):
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"""Test invalid API keys"""
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self.assertFalse(self.adaptor.validate_api_key('sk-ant-123')) # Claude key
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self.assertFalse(self.adaptor.validate_api_key('invalid'))
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self.assertFalse(self.adaptor.validate_api_key(''))
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def test_get_env_var_name(self):
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"""Test environment variable name"""
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self.assertEqual(self.adaptor.get_env_var_name(), 'GOOGLE_API_KEY')
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def test_supports_enhancement(self):
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"""Test enhancement support"""
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self.assertTrue(self.adaptor.supports_enhancement())
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def test_format_skill_md_no_frontmatter(self):
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"""Test that Gemini format has no YAML frontmatter"""
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with tempfile.TemporaryDirectory() as temp_dir:
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skill_dir = Path(temp_dir)
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# Create minimal skill structure
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(skill_dir / "references").mkdir()
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(skill_dir / "references" / "test.md").write_text("# Test content")
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metadata = SkillMetadata(
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name="test-skill",
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description="Test skill description"
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)
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formatted = self.adaptor.format_skill_md(skill_dir, metadata)
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# Should NOT start with YAML frontmatter
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self.assertFalse(formatted.startswith('---'))
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# Should contain the content
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self.assertIn('test-skill', formatted.lower())
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self.assertIn('Test skill description', formatted)
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def test_package_creates_targz(self):
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"""Test that package creates tar.gz file"""
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with tempfile.TemporaryDirectory() as temp_dir:
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skill_dir = Path(temp_dir) / "test-skill"
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skill_dir.mkdir()
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# Create minimal skill structure
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(skill_dir / "SKILL.md").write_text("# Test Skill")
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(skill_dir / "references").mkdir()
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(skill_dir / "references" / "test.md").write_text("# Reference")
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output_dir = Path(temp_dir) / "output"
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output_dir.mkdir()
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# Package skill
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package_path = self.adaptor.package(skill_dir, output_dir)
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# Verify package was created
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self.assertTrue(package_path.exists())
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self.assertTrue(str(package_path).endswith('.tar.gz'))
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self.assertIn('gemini', package_path.name)
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# Verify package contents
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with tarfile.open(package_path, 'r:gz') as tar:
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names = tar.getnames()
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self.assertIn('system_instructions.md', names)
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self.assertIn('gemini_metadata.json', names)
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# Should have references
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self.assertTrue(any('references' in name for name in names))
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@unittest.skip("Complex mocking - integration test needed with real API")
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def test_upload_success(self):
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"""Test successful upload to Gemini - skipped (needs real API for integration test)"""
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pass
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def test_upload_missing_library(self):
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"""Test upload when google-generativeai is not installed"""
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with tempfile.NamedTemporaryFile(suffix='.tar.gz') as tmp:
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# Simulate missing library by not mocking it
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result = self.adaptor.upload(Path(tmp.name), 'AIzaSyTest')
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self.assertFalse(result['success'])
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self.assertIn('google-generativeai', result['message'])
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self.assertIn('not installed', result['message'])
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def test_upload_invalid_file(self):
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"""Test upload with invalid file"""
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result = self.adaptor.upload(Path('/nonexistent/file.tar.gz'), 'AIzaSyTest')
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self.assertFalse(result['success'])
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self.assertIn('not found', result['message'].lower())
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def test_upload_wrong_format(self):
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"""Test upload with wrong file format"""
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with tempfile.NamedTemporaryFile(suffix='.zip') as tmp:
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result = self.adaptor.upload(Path(tmp.name), 'AIzaSyTest')
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self.assertFalse(result['success'])
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self.assertIn('not a tar.gz', result['message'].lower())
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@unittest.skip("Complex mocking - integration test needed with real API")
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def test_enhance_success(self):
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"""Test successful enhancement - skipped (needs real API for integration test)"""
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pass
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def test_enhance_missing_library(self):
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"""Test enhance when google-generativeai is not installed"""
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with tempfile.TemporaryDirectory() as temp_dir:
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skill_dir = Path(temp_dir)
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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")
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# Don't mock the module - it won't be available
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success = self.adaptor.enhance(skill_dir, 'AIzaSyTest')
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self.assertFalse(success)
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if __name__ == '__main__':
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unittest.main()
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