mirror of
https://github.com/shareAI-lab/analysis_claude_code.git
synced 2026-06-20 20:23:36 +08:00
116 lines
4.1 KiB
Python
116 lines
4.1 KiB
Python
import importlib.util
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import os
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import sys
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import tempfile
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import types
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import unittest
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from pathlib import Path
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REPO_ROOT = Path(__file__).resolve().parents[1]
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COURSE_MODULES = [
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("s05", REPO_ROOT / "s05_todo_write" / "code.py"),
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("s06", REPO_ROOT / "s06_subagent" / "code.py"),
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("s07", REPO_ROOT / "s07_skill_loading" / "code.py"),
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("s08", REPO_ROOT / "s08_context_compact" / "code.py"),
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("s20", REPO_ROOT / "s20_comprehensive" / "code.py"),
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]
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def load_course_module(module_name: str, module_path: Path, temp_cwd: Path):
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fake_anthropic = types.ModuleType("anthropic")
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class FakeAnthropic:
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def __init__(self, *args, **kwargs):
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self.messages = types.SimpleNamespace(create=None)
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fake_dotenv = types.ModuleType("dotenv")
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fake_yaml = types.ModuleType("yaml")
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setattr(fake_anthropic, "Anthropic", FakeAnthropic)
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setattr(fake_dotenv, "load_dotenv", lambda override=True: None)
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setattr(fake_yaml, "safe_load", lambda text: {})
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setattr(fake_yaml, "YAMLError", Exception)
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previous_modules = {
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"anthropic": sys.modules.get("anthropic"),
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"dotenv": sys.modules.get("dotenv"),
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"yaml": sys.modules.get("yaml"),
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}
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previous_cwd = Path.cwd()
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previous_model_id = os.environ.get("MODEL_ID")
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spec = importlib.util.spec_from_file_location(f"{module_name}_todo_test", module_path)
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if spec is None or spec.loader is None:
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raise RuntimeError(f"Unable to load {module_path}")
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module = importlib.util.module_from_spec(spec)
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sys.modules["anthropic"] = fake_anthropic
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sys.modules["dotenv"] = fake_dotenv
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sys.modules["yaml"] = fake_yaml
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try:
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os.chdir(temp_cwd)
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os.environ["MODEL_ID"] = "test-model"
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spec.loader.exec_module(module)
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return module
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finally:
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os.chdir(previous_cwd)
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if previous_model_id is None:
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os.environ.pop("MODEL_ID", None)
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else:
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os.environ["MODEL_ID"] = previous_model_id
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for name, previous in previous_modules.items():
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if previous is None:
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sys.modules.pop(name, None)
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else:
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sys.modules[name] = previous
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class TodoWriteStringInputTests(unittest.TestCase):
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def test_issue_340_accepts_json_array_string(self):
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for module_name, module_path in COURSE_MODULES:
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with self.subTest(module=module_name), tempfile.TemporaryDirectory() as tmp:
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module = load_course_module(module_name, module_path, Path(tmp))
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result = module.run_todo_write(
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'[{"content": "inspect repo", "status": "pending"}]'
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)
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self.assertIn("Updated 1", result)
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self.assertEqual(
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module.CURRENT_TODOS,
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[{"content": "inspect repo", "status": "pending"}],
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)
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def test_issue_340_accepts_python_list_repr_string(self):
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for module_name, module_path in COURSE_MODULES:
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with self.subTest(module=module_name), tempfile.TemporaryDirectory() as tmp:
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module = load_course_module(module_name, module_path, Path(tmp))
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result = module.run_todo_write(
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"[{'content': 'write tests', 'status': 'in_progress'}]"
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)
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self.assertIn("Updated 1", result)
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self.assertEqual(
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module.CURRENT_TODOS,
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[{"content": "write tests", "status": "in_progress"}],
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)
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def test_issue_340_does_not_eval_string_inputs(self):
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for module_name, module_path in COURSE_MODULES:
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with self.subTest(module=module_name), tempfile.TemporaryDirectory() as tmp:
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tmp_path = Path(tmp)
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marker = tmp_path / "eval_was_executed"
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module = load_course_module(module_name, module_path, tmp_path)
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result = module.run_todo_write(
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f"__import__('pathlib').Path({str(marker)!r}).write_text('bad')"
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)
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self.assertIn("Error:", result)
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self.assertFalse(marker.exists())
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if __name__ == "__main__":
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unittest.main()
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