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https://github.com/johndoe6345789/AutoMetabuilder.git
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johndoe6345789
12d9e55666
- Implement core components: CLI argument parsing, environment loading, GitHub service creation, and logging configuration. - Add support for OpenAI client setup and model resolution. - Develop SDLC context loader from GitHub and repository files. - Implement workflow context and engine builders. - Introduce major workflow packages: `game_tick_loop` and `contextual_iterative_loop`. - Update localization files with new package descriptions and labels. - Streamline web navigation by loading items from a dedicated JSON file.
26 lines
882 B
Python
26 lines
882 B
Python
import unittest
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import os
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import json
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from autometabuilder import load_messages
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class TestMetadata(unittest.TestCase):
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def test_metadata_exists(self):
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metadata_path = os.path.join(os.path.dirname(__file__), "..", "autometabuilder", "metadata.json")
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metadata_path = os.path.normpath(metadata_path)
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self.assertTrue(os.path.exists(metadata_path))
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with open(metadata_path, "r") as f:
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metadata = json.load(f)
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self.assertIn("tools_path", metadata)
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self.assertIn("workflow_path", metadata)
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self.assertIn("messages", metadata)
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def test_load_messages_with_metadata(self):
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# Test default language (en)
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messages = load_messages()
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self.assertIsInstance(messages, dict)
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self.assertIn("sdlc_context_label", messages)
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if __name__ == '__main__':
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unittest.main()
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