119 lines
4.3 KiB
Python
119 lines
4.3 KiB
Python
import os
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import sys
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import unittest
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sys.path.insert(0, os.path.dirname(__file__))
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from _helpers import TempDirMixin
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from app import appconfig
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class AppConfigTests(TempDirMixin, unittest.TestCase):
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def test_config_load_update_and_response_timeout(self):
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with self.make_temp_dir() as temp_dir:
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config_path = os.path.join(temp_dir, "config.json")
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config = appconfig.load_config(config_path)
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self.assertTrue(os.path.exists(config_path))
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self.assertEqual("images", appconfig.image_dir(config))
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self.assertEqual(240, appconfig.response_timeout(config))
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updated = appconfig.update_config(
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{"ai": {"resolution": "2k"}},
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path=config_path,
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)
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self.assertEqual(360, appconfig.response_timeout(updated))
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self.assertEqual((9222, 9260), appconfig.debug_port_range(updated))
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self.assert_removed(temp_dir)
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def test_config_rejects_sensitive_fields(self):
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with self.make_temp_dir() as temp_dir:
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config_path = os.path.join(temp_dir, "config.json")
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with self.assertRaises(appconfig.ConfigError):
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appconfig.save_config({"api_key": "secret"}, path=config_path)
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with self.assertRaises(appconfig.ConfigError):
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appconfig.save_config(
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{"ai": {"provider_token": "secret"}},
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path=config_path,
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)
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self.assert_removed(temp_dir)
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def test_ai_models_crud_filter_mask_and_get_model(self):
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with self.make_temp_dir() as temp_dir:
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models_path = os.path.join(temp_dir, "ai_models.json")
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models = appconfig.list_ai_models(path=models_path)
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self.assertEqual({"text", "image"}, {model["category"] for model in models})
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self.assertTrue(all("api_key_set" in model for model in models))
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appconfig.add_ai_model(
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{
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"name": "Text 2",
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"category": "text",
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"enabled": True,
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"url": "https://example.invalid/v1/chat/completions",
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"model": "demo-model",
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"api_key": "sk-1234567890",
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"api_type": "chat",
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"connect_timeout_seconds": 1,
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"extra_body": {"temperature": 0},
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},
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path=models_path,
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)
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text_models = appconfig.list_ai_models("text", path=models_path)
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self.assertEqual(2, len(text_models))
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self.assertEqual("sk-1***7890", text_models[-1]["api_key"])
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self.assertTrue(text_models[-1]["api_key_set"])
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private_model = appconfig.get_model("Text 2", path=models_path)
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self.assertEqual("sk-1234567890", private_model["api_key"])
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self.assertEqual({"temperature": 0}, private_model["extra_body"])
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appconfig.update_ai_model(
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"Text 2",
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path=models_path,
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name="Text 3",
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enabled=False,
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)
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self.assertFalse(appconfig.get_model("Text 3", path=models_path)["enabled"])
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self.assert_removed(temp_dir)
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def test_ai_model_constraints_and_connection_validation(self):
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with self.make_temp_dir() as temp_dir:
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models_path = os.path.join(temp_dir, "ai_models.json")
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appconfig.list_ai_models(path=models_path)
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with self.assertRaises(appconfig.ConfigError):
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appconfig.add_ai_model(
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{
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"name": "GPT-5.5 文本",
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"category": "text",
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"enabled": True,
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"api_type": "chat",
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"connect_timeout_seconds": 30,
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},
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path=models_path,
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)
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with self.assertRaises(appconfig.ConfigError):
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appconfig.delete_ai_model("Nano Banana 2", path=models_path)
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result = appconfig.test_ai_model("GPT-5.5 文本", path=models_path)
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self.assertFalse(result["ok"])
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self.assertIn("url", result["error"])
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self.assertIn("model", result["error"])
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self.assertIn("api_key", result["error"])
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self.assert_removed(temp_dir)
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if __name__ == "__main__":
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unittest.main()
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