48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
import json
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import unittest
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from unittest.mock import patch
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from ai_daily_report.clients import BlogApiClient, OpenAICompatibleClient, fetch_text
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class FakeResponse:
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status = 200
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def __init__(self, body):
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self.body = body
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def __enter__(self):
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return self
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def __exit__(self, exc_type, exc, tb):
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return False
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def read(self):
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return self.body
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class ClientTests(unittest.TestCase):
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def test_fetch_text_decodes_response(self):
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with patch("urllib.request.urlopen", return_value=FakeResponse("ok".encode("utf-8"))):
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self.assertEqual(fetch_text("https://example.com", 1), "ok")
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def test_openai_compatible_client_returns_message_content(self):
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body = json.dumps({"choices": [{"message": {"content": "hello"}}]}).encode("utf-8")
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with patch("urllib.request.urlopen", return_value=FakeResponse(body)):
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client = OpenAICompatibleClient(api_key="key", base_url="https://llm.example/v1", model="model")
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self.assertEqual(client.chat("prompt"), "hello")
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def test_blog_api_client_create_and_publish(self):
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responses = [
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FakeResponse(json.dumps({"slug": "ai-2026-06-04"}).encode("utf-8")),
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FakeResponse(json.dumps({"ok": True}).encode("utf-8")),
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]
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with patch("urllib.request.urlopen", side_effect=responses):
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client = BlogApiClient(base_url="https://blog.example", token="token")
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self.assertEqual(client.create_post({"title": "t"})["slug"], "ai-2026-06-04")
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client.publish_post("ai-2026-06-04")
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if __name__ == "__main__":
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unittest.main()
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